Tanzānija
Lower-middle income
- PÄrskats
- AptaukoÅ¡anÄs izplatÄ«ba
- Tendences, kas veidojas laika gaitÄ
- IedzÄ«votÄju sadalÄ«jums
- IetekmÄ“jošie faktori
- Blakusslimības
- EkonomiskÄ ietekme
- Politikas (pieejamas tikai angļu valodÄ)
- Contextual factors
Notiek datu ielÄde – lÅ«dzu, uzgaidiet
ValstÄ« pastÄvoÅ¡ie ar aptaukoÅ¡anos saistÄ«tie riski *7,5/10This is a composite ‘obesity risk’ score (out of 10, the highest risk) based on obesity prevalence, rate of increase, likelihood of meeting the 2025 target, treatment indicator and childhood stunting levels.AptaukoÅ¡anÄs risks bÄ“rnÄ«bÄ *4,5/11This is a ‘risk score’ for each country’s likelihood of having or acquiring a major childhood obesity problem during the 2020s, taking account of current prevalence levels and risk for future obesity (based on stunting among infants, maternal obesity, maternal smoking, and breastfeeding rates).
Report cards
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IedzÄ«votÄju sadalÄ«jums
IetekmÄ“jošie faktori
Nepietiekamas aktivitÄtes
Bezalkoholisko dzērienu patēriņš
Augļu patēriņš
DÄrzeņu patÄ“riņš
Ä€trÄs Ä“dinÄÅ¡anas produktu patÄ“riņš
PÄrstrÄdÄtas gaļas patÄ“riņš
Graudaugu patēriņš
Depresija
Trauksme
AptaukoÅ¡anÄs cÄ“loņi »
Like all chronic diseases, the root causes/drivers of obesity are complex. Select here to view 'other' root causes/drivers.Barošana ar krūti
Unaffordable diet
LejupielÄdÄ“t ziņojumu kartÄ«ti
Blakusslimības
Barības vada vēzis
Krūts dziedzera vēzis
KolorektÄlais vÄ“zis
Aizkuņģa dziedzera vēzis
Žultspūšļa vēzis
Nieru vēzis
Dzemdes vēzis
PaaugstinÄts asinsspiediens
PaaugstinÄts holesterÄ«na lÄ«menis
PaaugstinÄts glikozes lÄ«menis asinÄ«s
Diabēta izplatība
Ovarian Cancer
Leukemia
Liver & bile duct cancer
Mulitple Myeloma
Non Hodgkin Lymphoma
Thyroid Cancer
LejupielÄdÄ“t ziņojumu kartÄ«ti
EkonomiskÄ ietekme
Politikas (pieejamas tikai angļu valodÄ)
Contextual factors
AptaukoÅ¡anÄs izplatÄ«ba
Pieaugušie, 2022
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| Vecums: | 20-49 |
| Izlases lielums: | 9608 |
| AptvertÄ teritorija: | Valsts |
| Atsauces: | Ministry of Health (MoH) [Tanzania Mainland], Ministry of Health (MoH) [Zanzibar], National Bureau of Statistics (NBS), Office of the Chief Government Statistician (OCGS), and ICF. 2022. Tanzania Demographic and Health Survey and Malaria Indicator Survey 2022 Final Report. Dodoma, Tanzania, and Rockville, Maryland, USA: MoH, NBS, OCGS, and ICF. Available at https://dhsprogram.com/pubs/pdf/FR382/FR382.pdf (last accessed 17.04.24) |
| PiezÄ«mes (pieejamas tikai angļu valodÄ): | NB. Combined adult data estimated. These estimates were calculated by weighting male and female survey results. Weighting based on World Bank Population of Tanzania % total female 2022 (https://data.worldbank.org/indicator/SP.POP.TOTL.FE.ZS - accessed 16.12.25) |
| Ja nav norÄdÄ«ts citÄdi, liekais svars attiecas uz ĶMI no 25 kg lÄ«dz 29,9 kg/m², aptaukoÅ¡anÄs attiecas uz ĶMI, kas lielÄks par 30 kg/m². | |
Sievietes, 2018
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| Vecums: | 15-49 |
| Izlases lielums: | 8,482 |
| AptvertÄ teritorija: | Valsts |
| Atsauces: | Ministry of Health, Community Development, Gender, Elderly and Children (MoHCDGEC) [Tanzania Mainland], Ministry of Health (MoH) [Zanzibar], Tanzania Food and Nutrition Centre (TFNC), National Bureau of Statistics (NBS), Office of the Chief Government Statistician (OCGS) [Zanzibar] and UNICEF. 2018. Tanzania National Nutrition Survey using SMART Methodology (TNNS) 2018. Dar es Salaam, Tanzania: MoHCDGEC, MoH, TFNC, NBS, OCGS, and UNICEF. Available at: https://www.unicef.org/tanzania/media/2141/file/tanzania%20national%20nutrition%20survey%202018.pdf [Accessed 20.01.26] |
| PiezÄ«mes (pieejamas tikai angļu valodÄ): | SMART Methodology |
| Ja nav norÄdÄ«ts citÄdi, liekais svars attiecas uz ĶMI no 25 kg lÄ«dz 29,9 kg/m², aptaukoÅ¡anÄs attiecas uz ĶMI, kas lielÄks par 30 kg/m². | |
Sievietes, 2015-2016
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| Vecums: | 15-49 |
| Izlases lielums: | 11634 |
| AptvertÄ teritorija: | Valsts |
| Atsauces: | Ministry of Health, Community Development, Gender, Elderly and Children - MoHCDGEC/Tanzania Mainland, Ministry of Health - MoH/Zanzibar, National Bureau of Statistics - NBS/Tanzania, Office of Chief Government Statistician - OCGS/Zanzibar, and ICF. 2016. Tanzania Demographic and Health Survey and Malaria Indicator Survey (TDHS-MIS) 2015-16. Dar es Salaam/Tanzania: MoHCDGEC, MoH, NBS, OCGS, and ICF. (http://www.dhsprogram.com/publications/publication-FR321-DHS-Final-Reports.cfm accessed 4th January 2017) |
| PiezÄ«mes (pieejamas tikai angļu valodÄ): | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
| Ja nav norÄdÄ«ts citÄdi, liekais svars attiecas uz ĶMI no 25 kg lÄ«dz 29,9 kg/m², aptaukoÅ¡anÄs attiecas uz ĶMI, kas lielÄks par 30 kg/m². | |
Sievietes, 2014
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| Vecums: | 15-49 |
| Izlases lielums: | 16,652 |
| AptvertÄ teritorija: | Valsts |
| Atsauces: | Ministry of Health and Social Welfare, The United Republic of Tanzania. 2015. Tanzania National Nutrition Survey 2024. Final Report. Prepared by Tanzania Food and Nutrition Centre. Available at: https://reliefweb.int/report/united-republic-tanzania/tanzania-national-nutrition-survey-2014-final-report-data-collection [Accessed 20.01.26] |
| PiezÄ«mes (pieejamas tikai angļu valodÄ): | SMART Methodology |
| Ja nav norÄdÄ«ts citÄdi, liekais svars attiecas uz ĶMI no 25 kg lÄ«dz 29,9 kg/m², aptaukoÅ¡anÄs attiecas uz ĶMI, kas lielÄks par 30 kg/m². | |
Pieaugušie, 2012
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| Vecums: | 25-64 |
| Izlases lielums: | 5680 |
| AptvertÄ teritorija: | Valsts |
| Atsauces: | WHO STEPS Survey Tanzania 2012, available at https://www.who.int/ncds/surveillance/steps/tanzania/en/ (last accessed 21.10.20) |
| Ja nav norÄdÄ«ts citÄdi, liekais svars attiecas uz ĶMI no 25 kg lÄ«dz 29,9 kg/m², aptaukoÅ¡anÄs attiecas uz ĶMI, kas lielÄks par 30 kg/m². | |
Pieaugušie, 2011
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| Vecums: | 25-64 |
| Izlases lielums: | 2520 |
| AptvertÄ teritorija: | Regional (Zanzibar) |
| Atsauces: | STEPS |
| Ja nav norÄdÄ«ts citÄdi, liekais svars attiecas uz ĶMI no 25 kg lÄ«dz 29,9 kg/m², aptaukoÅ¡anÄs attiecas uz ĶMI, kas lielÄks par 30 kg/m². | |
Sievietes, 2010
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| Vecums: | 15-49 |
| Izlases lielums: | 8789 |
| AptvertÄ teritorija: | Valsts |
| Atsauces: | National Bureau of Statistics - NBS/Tanzania and ICF Macro. 2011. Tanzania Demographic and Health Survey 2010. Dar es Salaam, Tanzania: NBS/Tanzania and ICF Macro. |
| PiezÄ«mes (pieejamas tikai angļu valodÄ): | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
| Ja nav norÄdÄ«ts citÄdi, liekais svars attiecas uz ĶMI no 25 kg lÄ«dz 29,9 kg/m², aptaukoÅ¡anÄs attiecas uz ĶMI, kas lielÄks par 30 kg/m². | |
Pieaugušie, 1998-1999
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| Vecums: | 25-64 |
| Izlases lielums: | 9313 |
| AptvertÄ teritorija: | AdministratÄ«vi teritoriÄlais iedalÄ«jums |
| Atsauces: | Bovet P et al. (2002). Distribution of blood pressure, body mass index and smoking habits in the urban population of Dar es Salaam, Tanzania, and association with socioeconomic status. University of Social and Preventive Medicine. WHO Infobase. |
| Ja nav norÄdÄ«ts citÄdi, liekais svars attiecas uz ĶMI no 25 kg lÄ«dz 29,9 kg/m², aptaukoÅ¡anÄs attiecas uz ĶMI, kas lielÄks par 30 kg/m². | |
Sievietes, 1991-1992
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| Vecums: | 15-49 |
| Izlases lielums: | 4597 |
| AptvertÄ teritorija: | Valsts |
| Atsauces: | Martorell R, Khan LK, Hughes ML, Grummer Strawn LM. Obesity in women from developing countries. EJCN (2000) 54;247-252 |
| PiezÄ«mes (pieejamas tikai angļu valodÄ): | The data from this paper was sourced from the Demographic Health Survey Programme https://dhsprogram.com/ Central Statistical Office and Macro International. Calverton, Maryland, USA: Central Statistical Office and Macro International |
| Ja nav norÄdÄ«ts citÄdi, liekais svars attiecas uz ĶMI no 25 kg lÄ«dz 29,9 kg/m², aptaukoÅ¡anÄs attiecas uz ĶMI, kas lielÄks par 30 kg/m². | |
BÄ“rni, 2022
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| Vecums: | 15-19 |
| Izlases lielums: | 2863 |
| AptvertÄ teritorija: | Valsts |
| Atsauces: | Ministry of Health (MoH) [Tanzania Mainland], Ministry of Health (MoH) [Zanzibar], National Bureau of Statistics (NBS), Office of the Chief Government Statistician (OCGS), and ICF. 2022. Tanzania Demographic and Health Survey and Malaria Indicator Survey 2022 Final Report. Dodoma, Tanzania, and Rockville, Maryland, USA: MoH, NBS, OCGS, and ICF. Available at https://dhsprogram.com/pubs/pdf/FR382/FR382.pdf (last accessed 17.04.24) |
| Cutoffs: | WHO |
BÄ“rni, 2019
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| Vecums: | 9-11 |
| Izlases lielums: | 1170 |
| AptvertÄ teritorija: | ReÄ£ioni |
| Atsauces: | Mosha MV, Msuya SE, Kasagama E, Ayieko P, Todd J, Filteau S. Prevalence and correlates of overweight and obesity among primary school children in Kilimanjaro, Tanzania. PLoS One. 2021 Apr 22;16(4):e0249595. doi: 10.1371/journal.pone.0249595. PMID: 33886578; PMCID: PMC8061999. |
| Cutoffs: | WHO |
Meitenes, 2015-2016
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| Vecums: | 15-19 |
| Izlases lielums: | 2157 |
| AptvertÄ teritorija: | Valsts |
| Atsauces: | Benedict, Rukundo K., Allison Schmale, and Sorrel Namaste. 2018. Adolescent Nutrition 2000-2017: DHS Data on Adolescents Age 15-19. DHS Comparative Report No. 47. Rockville, Maryland, USA: ICF. Ministry of Health, Community Development, Gender, Elderly and Children - MoHCDGEC/Tanzania Mainland, Ministry of Health - MoH/Zanzibar, National Bureau of Statistics - NBS/Tanzania, Office of Chief Government Statistician - OCGS/Zanzibar, and ICF. 2016. Tanzania Demographic and Health Survey and Malaria Indicator Survey (TDHS-MIS) 2015-16. Dar es Salaam/Tanzania: MoHCDGEC, MoH, NBS, OCGS, and ICF |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | BMI for age: between +1 SD and +2 SD is overweight and greater than +2 SD is obesity |
| Cutoffs: | WHO 2007 |
BÄ“rni, 2012
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| Vecums: | 8-13 |
| Izlases lielums: | 1781 |
| AptvertÄ teritorija: | ReÄ£ioni |
| Atsauces: | Pangani IN, Kiplamai FK, Kamau JW, Onywera VO. Prevalence of Overweight and Obesity among Primary School Children Aged 8-13 Years in Dar es Salaam City, Tanzania. Adv Prev Med. 2016;2016:1345017. doi: 10.1155/2016/1345017. Epub 2016 Jun 14. PMID: 27403343; PMCID: PMC4923524. |
| Cutoffs: | WHO |
0-5 years, 2022
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| Vecums: | 0-5 |
| Izlases lielums: | 5485 |
| AptvertÄ teritorija: | Valsts |
| Atsauces: | DHS: The 2022 Tanzania Demographic and Health Survey and Malaria Indicator Survey |
| PiezÄ«mes (pieejamas tikai angļu valodÄ): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | =>+2SD |
0-5 years, 2020-2021
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| Vecums: | 0-5 |
| Izlases lielums: | 8654908 |
| AptvertÄ teritorija: | Valsts |
| Atsauces: | National Panel Survey 2020-21, Wave 5 |
| PiezÄ«mes (pieejamas tikai angļu valodÄ): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight estimates: National and Disaggregated, July 2025, New York. Weighted sample size. For more information, please consult https://data.unicef.org/resources/jme/. |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Cutoffs: | =>+2SD |
0-5 years, 2019-2020
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| Vecums: | 1-5 |
| Izlases lielums: | 5223133 |
| AptvertÄ teritorija: | Valsts |
| Atsauces: | Tanzania National Panel Survey 2019-2020 - Extended Panel with Sex Disaggregated Data |
| PiezÄ«mes (pieejamas tikai angļu valodÄ): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight estimates: National and Disaggregated, July 2025, New York. Weighted sample size. For more information, please consult https://data.unicef.org/resources/jme/. NB. 12-59 months |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Cutoffs: | =>+2SD |
0-5 years, 2019-2020
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| Vecums: | 0-5 |
| Izlases lielums: | 5223133 |
| AptvertÄ teritorija: | Valsts |
| Atsauces: | LSMS: Tanzania National Panel Survey 2019-2020 - Extended Panel with Sex Disaggregated Data |
| PiezÄ«mes (pieejamas tikai angļu valodÄ): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | =>+2SD |
0-5 years, 2018
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| Vecums: | 0-5 |
| AptvertÄ teritorija: | Valsts |
| Atsauces: | SMART: Tanzania National Nutrition Survey using SMART Methodology (TNNS) 2018. Dar es Salaam, Tanzania: MoHCDGEC, MoH, TFNC, NBS, OCGS, and UNICEF. |
| PiezÄ«mes (pieejamas tikai angļu valodÄ): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | =>+2SD |
0-5 years, 2015-2016
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| Vecums: | 0-5 |
| Izlases lielums: | 9816 |
| AptvertÄ teritorija: | Valsts |
| Atsauces: | DHS: Tanzania demographic and health survey 2015-16. Demographic and Health Surveys. Dar es Salaam, Tanzania: NBS and ICF International, 2016 |
| PiezÄ«mes (pieejamas tikai angļu valodÄ): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | =>+2SD |
0-5 years, 2014
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| Vecums: | 0-5 |
| AptvertÄ teritorija: | Valsts |
| Atsauces: | SMART: Tanzania national nutrition survey 2014: Final report. United Republic of Tanzania, December 2014. |
| PiezÄ«mes (pieejamas tikai angļu valodÄ): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | =>+2SD |
0-5 years, 2012-2013
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| Vecums: | 0-5 |
| Izlases lielums: | 6565673 |
| AptvertÄ teritorija: | Valsts |
| Atsauces: | LSMS: Tanzania National Panel Survey Report (NPS) - Wave 3, 2012 - 2013. Dar es Salaam, Tanzania: NBS, 2014 |
| PiezÄ«mes (pieejamas tikai angļu valodÄ): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | =>+2SD |
0-5 years, 2010-2011
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| Vecums: | 0-5 |
| Izlases lielums: | 6801409 |
| AptvertÄ teritorija: | Valsts |
| Atsauces: | LSMS: Tanzania National Panel Survey Report (NPS) - Wave 2, 2010 - 2011. Dar es Salaam, Tanzania: NBS, 2012. |
| PiezÄ«mes (pieejamas tikai angļu valodÄ): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | =>+2SD |
0-5 years, 2009-2010
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| Vecums: | 0-5 |
| Izlases lielums: | 7560 |
| AptvertÄ teritorija: | Valsts |
| Atsauces: | DHS: Tanzania demographic and health survey 2010. Demographic and Health Surveys. Dar es Salaam, Tanzania: NBS and ICF Macro, 2011 |
| PiezÄ«mes (pieejamas tikai angļu valodÄ): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | =>+2SD |
0-5 years, 2008-2009
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| Vecums: | 0-5 |
| Izlases lielums: | 5728513 |
| AptvertÄ teritorija: | Valsts |
| Atsauces: | LSMS: Tanzania National Panel Survey Report (NPS) - Wave 2, 2008 - 2009. Dar es Salaam, Tanzania: NBS |
| PiezÄ«mes (pieejamas tikai angļu valodÄ): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | =>+2SD |
0-5 years, 2004-2005
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| Vecums: | 0-5 |
| Izlases lielums: | 8118 |
| AptvertÄ teritorija: | Valsts |
| Atsauces: | DHS: Tanzania demographic and health survey 2004-05. Demographic and Health Surveys. Dar es Salaam, Tanzania: National Bureau of Statistics and ORC Macro, 2005 |
| PiezÄ«mes (pieejamas tikai angļu valodÄ): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | =>+2SD |
0-5 years, 1999
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| Vecums: | 0-5 |
| Izlases lielums: | 2617 |
| AptvertÄ teritorija: | Valsts |
| Atsauces: | DHS: Tanzania reproductive and child health survey 1999. Demographic and Health Surveys. Calverton, Maryland: National Bureau of Statistics [Tanzania] and Macro International Inc., 2000 |
| PiezÄ«mes (pieejamas tikai angļu valodÄ): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | =>+2SD |
0-5 years, 1996
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| Vecums: | 0-5 |
| Izlases lielums: | 5520 |
| AptvertÄ teritorija: | Valsts |
| Atsauces: | DHS: Tanzania demographic and health survey 1996. Demographic and Health Surveys. Calverton, Maryland: Bureau of Statistics and Macro International Inc., 1997 |
| PiezÄ«mes (pieejamas tikai angļu valodÄ): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | =>+2SD |
0-5 years, 1991-1992
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| Vecums: | 0-5 |
| Izlases lielums: | 6517 |
| AptvertÄ teritorija: | Valsts |
| Atsauces: | DHS: Tanzania demographic and health survey 1991/92. Demographic and Health Surveys. Dar es Salaam, United Republic of Tanzania, 1992 |
| PiezÄ«mes (pieejamas tikai angļu valodÄ): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | =>+2SD |
% Adults living with obesity in Tanzania 1991-2018
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| Atsauces: | 1991: Martorell R, Khan LK, Hughes ML, Grummer Strawn LM. Obesity in women from developing countries. EJCN (2000) 54;247-252 2010: National Bureau of Statistics - NBS/Tanzania and ICF Macro. 2011. Tanzania Demographic and Health Survey 2010. Dar es Salaam, Tanzania: NBS/Tanzania and ICF Macro. 2014: Ministry of Health and Social Welfare, The United Republic of Tanzania. 2015. Tanzania National Nutrition Survey 2024. Final Report. Prepared by Tanzania Food and Nutrition Centre. Available at: https://reliefweb.int/report/united-republic-tanzania/tanzania-national-nutrition-survey-2014-final-report-data-collection [Accessed 20.01.26] 2015: Ministry of Health, Community Development, Gender, Elderly and Children - MoHCDGEC/Tanzania Mainland, Ministry of Health - MoH/Zanzibar, National Bureau of Statistics - NBS/Tanzania, Office of Chief Government Statistician - OCGS/Zanzibar, and ICF. 2016. Tanzania Demographic and Health Survey and Malaria Indicator Survey (TDHS-MIS) 2015-16. Dar es Salaam/Tanzania: MoHCDGEC, MoH, NBS, OCGS, and ICF. (http://www.dhsprogram.com/publications/publication-FR321-DHS-Final-Reports.cfm accessed 4th January 2017) 2018: Ministry of Health, Community Development, Gender, Elderly and Children (MoHCDGEC) [Tanzania Mainland], Ministry of Health (MoH) [Zanzibar], Tanzania Food and Nutrition Centre (TFNC), National Bureau of Statistics (NBS), Office of the Chief Government Statistician (OCGS) [Zanzibar] and UNICEF. 2018. Tanzania National Nutrition Survey using SMART Methodology (TNNS) 2018. Dar es Salaam, Tanzania: MoHCDGEC, MoH, TFNC, NBS, OCGS, and UNICEF. Available at: https://www.unicef.org/tanzania/media/2141/file/tanzania%20national%20nutrition%20survey%202018.pdf [Accessed 20.01.26] |
| Ja nav norÄdÄ«ts citÄdi, liekais svars attiecas uz ĶMI no 25 kg lÄ«dz 29,9 kg/m², aptaukoÅ¡anÄs attiecas uz ĶMI, kas lielÄks par 30 kg/m². | |
| Å o datu apkopoÅ¡anai, iespÄ“jams, ir izmantotas dažÄdas metodikas, tÄpÄ“c dažÄdu aptauju dati var nebÅ«t precÄ«zi salÄ«dzinÄmi. LÅ«dzu, pÄrbaudiet izmantoto metodiku oriÄ£inÄlos datu avotos | |
% Adults living with overweight or obesity in Tanzania 1991-2018
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| Atsauces: | 1991: Martorell R, Khan LK, Hughes ML, Grummer Strawn LM. Obesity in women from developing countries. EJCN (2000) 54;247-252 2010: National Bureau of Statistics - NBS/Tanzania and ICF Macro. 2011. Tanzania Demographic and Health Survey 2010. Dar es Salaam, Tanzania: NBS/Tanzania and ICF Macro. 2014: Ministry of Health and Social Welfare, The United Republic of Tanzania. 2015. Tanzania National Nutrition Survey 2024. Final Report. Prepared by Tanzania Food and Nutrition Centre. Available at: https://reliefweb.int/report/united-republic-tanzania/tanzania-national-nutrition-survey-2014-final-report-data-collection [Accessed 20.01.26] 2015: Ministry of Health, Community Development, Gender, Elderly and Children - MoHCDGEC/Tanzania Mainland, Ministry of Health - MoH/Zanzibar, National Bureau of Statistics - NBS/Tanzania, Office of Chief Government Statistician - OCGS/Zanzibar, and ICF. 2016. Tanzania Demographic and Health Survey and Malaria Indicator Survey (TDHS-MIS) 2015-16. Dar es Salaam/Tanzania: MoHCDGEC, MoH, NBS, OCGS, and ICF. (http://www.dhsprogram.com/publications/publication-FR321-DHS-Final-Reports.cfm accessed 4th January 2017) 2018: Ministry of Health, Community Development, Gender, Elderly and Children (MoHCDGEC) [Tanzania Mainland], Ministry of Health (MoH) [Zanzibar], Tanzania Food and Nutrition Centre (TFNC), National Bureau of Statistics (NBS), Office of the Chief Government Statistician (OCGS) [Zanzibar] and UNICEF. 2018. Tanzania National Nutrition Survey using SMART Methodology (TNNS) 2018. Dar es Salaam, Tanzania: MoHCDGEC, MoH, TFNC, NBS, OCGS, and UNICEF. Available at: https://www.unicef.org/tanzania/media/2141/file/tanzania%20national%20nutrition%20survey%202018.pdf [Accessed 20.01.26] |
| PiezÄ«mes (pieejamas tikai angļu valodÄ): | Ages 15-49 |
| Ja nav norÄdÄ«ts citÄdi, liekais svars attiecas uz ĶMI no 25 kg lÄ«dz 29,9 kg/m², aptaukoÅ¡anÄs attiecas uz ĶMI, kas lielÄks par 30 kg/m². | |
| Å o datu apkopoÅ¡anai, iespÄ“jams, ir izmantotas dažÄdas metodikas, tÄpÄ“c dažÄdu aptauju dati var nebÅ«t precÄ«zi salÄ«dzinÄmi. LÅ«dzu, pÄrbaudiet izmantoto metodiku oriÄ£inÄlos datu avotos | |
Liekais svars/aptaukošan?s p?c izgl?t?bas
V?rieši, 2022
| Apsekojuma veids: | M?r?t? v?rt?ba |
| Vecums: | 20-49 |
| Izlases lielums: | 9608 |
| Aptvert? teritorija: | Valsts |
| Atsauces: | Ministry of Health (MoH) [Tanzania Mainland], Ministry of Health (MoH) [Zanzibar], National Bureau of Statistics (NBS), Office of the Chief Government Statistician (OCGS), and ICF. 2022. Tanzania Demographic and Health Survey and Malaria Indicator Survey 2022 Final Report. Dodoma, Tanzania, and Rockville, Maryland, USA: MoH, NBS, OCGS, and ICF. Available at https://dhsprogram.com/pubs/pdf/FR382/FR382.pdf (last accessed 17.04.24) |
| Ja nav nor?d?ts cit?di, liekais svars attiecas uz ?MI no 25 kg l?dz 29,9 kg/m², aptaukošan?s attiecas uz ?MI, kas liel?ks par 30 kg/m². | |
Sievietes, 2022
| Apsekojuma veids: | M?r?t? v?rt?ba |
| Vecums: | 20-49 |
| Izlases lielums: | 9608 |
| Aptvert? teritorija: | Valsts |
| Atsauces: | Ministry of Health (MoH) [Tanzania Mainland], Ministry of Health (MoH) [Zanzibar], National Bureau of Statistics (NBS), Office of the Chief Government Statistician (OCGS), and ICF. 2022. Tanzania Demographic and Health Survey and Malaria Indicator Survey 2022 Final Report. Dodoma, Tanzania, and Rockville, Maryland, USA: MoH, NBS, OCGS, and ICF. Available at https://dhsprogram.com/pubs/pdf/FR382/FR382.pdf (last accessed 17.04.24) |
| Ja nav nor?d?ts cit?di, liekais svars attiecas uz ?MI no 25 kg l?dz 29,9 kg/m², aptaukošan?s attiecas uz ?MI, kas liel?ks par 30 kg/m². | |
Sievietes, 2015-2016
| Apsekojuma veids: | M?r?t? v?rt?ba |
| Vecums: | 15-49 |
| Izlases lielums: | 11635 |
| Aptvert? teritorija: | Valsts |
| Atsauces: | Ministry of Health, Community Development, Gender, Elderly and Children - MoHCDGEC/Tanzania Mainland, Ministry of Health - MoH/Zanzibar, National Bureau of Statistics - NBS/Tanzania, Office of Chief Government Statistician - OCGS/Zanzibar, and ICF. 2016. Tanzania Demographic and Health Survey and Malaria Indicator Survey (TDHS-MIS) 2015-16. Dar es Salaam/Tanzania: MoHCDGEC, MoH, NBS, OCGS, and ICF. (http://www.dhsprogram.com/publications/publication-FR321-DHS-Final-Reports.cfm accessed 4th January 2017) |
| Piez?mes (pieejamas tikai ang?u valod?): | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
| Ja nav nor?d?ts cit?di, liekais svars attiecas uz ?MI no 25 kg l?dz 29,9 kg/m², aptaukošan?s attiecas uz ?MI, kas liel?ks par 30 kg/m². | |
Z?ni, 2022
| Apsekojuma veids: | M?r?t? v?rt?ba |
| Vecums: | 15-19 |
| Izlases lielums: | 2863 |
| Aptvert? teritorija: | Valsts |
| Atsauces: | Ministry of Health (MoH) [Tanzania Mainland], Ministry of Health (MoH) [Zanzibar], National Bureau of Statistics (NBS), Office of the Chief Government Statistician (OCGS), and ICF. 2022. Tanzania Demographic and Health Survey and Malaria Indicator Survey 2022 Final Report. Dodoma, Tanzania, and Rockville, Maryland, USA: MoH, NBS, OCGS, and ICF. Available at https://dhsprogram.com/pubs/pdf/FR382/FR382.pdf (last accessed 17.04.24) |
| Cutoffs: | WHO |
Meitenes, 2022
| Apsekojuma veids: | M?r?t? v?rt?ba |
| Vecums: | 15-19 |
| Izlases lielums: | 2863 |
| Aptvert? teritorija: | Valsts |
| Atsauces: | Ministry of Health (MoH) [Tanzania Mainland], Ministry of Health (MoH) [Zanzibar], National Bureau of Statistics (NBS), Office of the Chief Government Statistician (OCGS), and ICF. 2022. Tanzania Demographic and Health Survey and Malaria Indicator Survey 2022 Final Report. Dodoma, Tanzania, and Rockville, Maryland, USA: MoH, NBS, OCGS, and ICF. Available at https://dhsprogram.com/pubs/pdf/FR382/FR382.pdf (last accessed 17.04.24) |
| Cutoffs: | WHO |
Meitenes, 2015-2016
| Apsekojuma veids: | M?r?t? v?rt?ba |
| Vecums: | 15-19 |
| Izlases lielums: | 2158 |
| Aptvert? teritorija: | Valsts |
| Atsauces: | Benedict, Rukundo K., Allison Schmale, and Sorrel Namaste. 2018. Adolescent Nutrition 2000-2017: DHS Data on Adolescents Age 15-19. DHS Comparative Report No. 47. Rockville, Maryland, USA: ICF. Ministry of Health, Community Development, Gender, Elderly and Children - MoHCDGEC/Tanzania Mainland, Ministry of Health - MoH/Zanzibar, National Bureau of Statistics - NBS/Tanzania, Office of Chief Government Statistician - OCGS/Zanzibar, and ICF. 2016. Tanzania Demographic and Health Survey and Malaria Indicator Survey (TDHS-MIS) 2015-16. Dar es Salaam/Tanzania: MoHCDGEC, MoH, NBS, OCGS, and ICF |
| Defin?cijas (pieejamas tikai ang?u valod?): | BMI for age: between +1 SD and +2 SD is overweight and greater than +2 SD is obesity |
| Cutoffs: | WHO 2007 |
0-5 years, 2015-2016
| Izlases lielums: | 9816 |
| Atsauces: | DHS: Tanzania demographic and health survey 2015-16. Demographic and Health Surveys. Dar es Salaam, Tanzania: NBS and ICF International, 2016 |
| Piez?mes (pieejamas tikai ang?u valod?): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Defin?cijas (pieejamas tikai ang?u valod?): | =>+2SD |
0-5 years, 2009-2010
| Izlases lielums: | 7560 |
| Atsauces: | DHS: Tanzania demographic and health survey 2010. Demographic and Health Surveys. Dar es Salaam, Tanzania: NBS and ICF Macro, 2011 |
| Piez?mes (pieejamas tikai ang?u valod?): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Defin?cijas (pieejamas tikai ang?u valod?): | =>+2SD |
0-5 years, 2004-2005
| Izlases lielums: | 8118 |
| Atsauces: | DHS: Tanzania demographic and health survey 2004-05. Demographic and Health Surveys. Dar es Salaam, Tanzania: National Bureau of Statistics and ORC Macro, 2005 |
| Piez?mes (pieejamas tikai ang?u valod?): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Defin?cijas (pieejamas tikai ang?u valod?): | =>+2SD |
0-5 years, 1999
| Izlases lielums: | 2617 |
| Atsauces: | DHS: Tanzania reproductive and child health survey 1999. Demographic and Health Surveys. Calverton, Maryland: National Bureau of Statistics [Tanzania] and Macro International Inc., 2000 |
| Piez?mes (pieejamas tikai ang?u valod?): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Defin?cijas (pieejamas tikai ang?u valod?): | =>+2SD |
0-5 years, 1996
| Izlases lielums: | 5520 |
| Atsauces: | DHS: Tanzania demographic and health survey 1996. Demographic and Health Surveys. Calverton, Maryland: Bureau of Statistics and Macro International Inc., 1997 |
| Piez?mes (pieejamas tikai ang?u valod?): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Defin?cijas (pieejamas tikai ang?u valod?): | =>+2SD |
0-5 years, 1991-1992
| Izlases lielums: | 6517 |
| Atsauces: | DHS: Tanzania demographic and health survey 1991/92. Demographic and Health Surveys. Dar es Salaam, United Republic of Tanzania, 1992 |
| Piez?mes (pieejamas tikai ang?u valod?): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Defin?cijas (pieejamas tikai ang?u valod?): | =>+2SD |
Liekais svars/aptaukoÅ¡anÄs pÄ“c vecuma
Pieaugušie, 2022
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| Izlases lielums: | 9608 |
| AptvertÄ teritorija: | Valsts |
| Atsauces: | Ministry of Health (MoH) [Tanzania Mainland], Ministry of Health (MoH) [Zanzibar], National Bureau of Statistics (NBS), Office of the Chief Government Statistician (OCGS), and ICF. 2022. Tanzania Demographic and Health Survey and Malaria Indicator Survey 2022 Final Report. Dodoma, Tanzania, and Rockville, Maryland, USA: MoH, NBS, OCGS, and ICF. Available at https://dhsprogram.com/pubs/pdf/FR382/FR382.pdf (last accessed 17.04.24) |
| Ja nav norÄdÄ«ts citÄdi, liekais svars attiecas uz ĶMI no 25 kg lÄ«dz 29,9 kg/m², aptaukoÅ¡anÄs attiecas uz ĶMI, kas lielÄks par 30 kg/m². | |
Sievietes, 2018
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| Izlases lielums: | 8,482 |
| AptvertÄ teritorija: | Valsts |
| Atsauces: | Ministry of Health, Community Development, Gender, Elderly and Children (MoHCDGEC) [Tanzania Mainland], Ministry of Health (MoH) [Zanzibar], Tanzania Food and Nutrition Centre (TFNC), National Bureau of Statistics (NBS), Office of the Chief Government Statistician (OCGS) [Zanzibar] and UNICEF. 2018. Tanzania National Nutrition Survey using SMART Methodology (TNNS) 2018. Dar es Salaam, Tanzania: MoHCDGEC, MoH, TFNC, NBS, OCGS, and UNICEF. Available at: https://www.unicef.org/tanzania/media/2141/file/tanzania%20national%20nutrition%20survey%202018.pdf [Accessed 20.01.26] |
| PiezÄ«mes (pieejamas tikai angļu valodÄ): | SMART Methodology |
| Ja nav norÄdÄ«ts citÄdi, liekais svars attiecas uz ĶMI no 25 kg lÄ«dz 29,9 kg/m², aptaukoÅ¡anÄs attiecas uz ĶMI, kas lielÄks par 30 kg/m². | |
Sievietes, 2015-2016
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| Izlases lielums: | 11635 |
| AptvertÄ teritorija: | Valsts |
| Atsauces: | Ministry of Health, Community Development, Gender, Elderly and Children - MoHCDGEC/Tanzania Mainland, Ministry of Health - MoH/Zanzibar, National Bureau of Statistics - NBS/Tanzania, Office of Chief Government Statistician - OCGS/Zanzibar, and ICF. 2016. Tanzania Demographic and Health Survey and Malaria Indicator Survey (TDHS-MIS) 2015-16. Dar es Salaam/Tanzania: MoHCDGEC, MoH, NBS, OCGS, and ICF. |
| PiezÄ«mes (pieejamas tikai angļu valodÄ): | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
| Ja nav norÄdÄ«ts citÄdi, liekais svars attiecas uz ĶMI no 25 kg lÄ«dz 29,9 kg/m², aptaukoÅ¡anÄs attiecas uz ĶMI, kas lielÄks par 30 kg/m². | |
Sievietes, 2014
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| Izlases lielums: | 16,652 |
| AptvertÄ teritorija: | Valsts |
| Atsauces: | Ministry of Health and Social Welfare, The United Republic of Tanzania. 2015. Tanzania National Nutrition Survey 2024. Final Report. Prepared by Tanzania Food and Nutrition Centre. Available at: https://reliefweb.int/report/united-republic-tanzania/tanzania-national-nutrition-survey-2014-final-report-data-collection [Accessed 20.01.26] |
| PiezÄ«mes (pieejamas tikai angļu valodÄ): | SMART Methodology |
| Ja nav norÄdÄ«ts citÄdi, liekais svars attiecas uz ĶMI no 25 kg lÄ«dz 29,9 kg/m², aptaukoÅ¡anÄs attiecas uz ĶMI, kas lielÄks par 30 kg/m². | |
BÄ“rni, 2019
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| Izlases lielums: | 1170 |
| AptvertÄ teritorija: | ReÄ£ioni |
| Atsauces: | Mosha MV, Msuya SE, Kasagama E, Ayieko P, Todd J, Filteau S. Prevalence and correlates of overweight and obesity among primary school children in Kilimanjaro, Tanzania. PLoS One. 2021 Apr 22;16(4):e0249595. doi: 10.1371/journal.pone.0249595. PMID: 33886578; PMCID: PMC8061999. |
| Cutoffs: | WHO |
BÄ“rni, 2012
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| Izlases lielums: | 1781 |
| AptvertÄ teritorija: | ReÄ£ioni |
| Atsauces: | Pangani IN, Kiplamai FK, Kamau JW, Onywera VO. Prevalence of Overweight and Obesity among Primary School Children Aged 8-13 Years in Dar es Salaam City, Tanzania. Adv Prev Med. 2016;2016:1345017. doi: 10.1155/2016/1345017. Epub 2016 Jun 14. PMID: 27403343; PMCID: PMC4923524. |
| Cutoffs: | WHO |
Liekais svars/aptaukoÅ¡anÄs pÄ“c reÄ£iona
Vīrieši, 2022
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| Vecums: | 20-49 |
| Izlases lielums: | 9608 |
| AptvertÄ teritorija: | Valsts |
| Atsauces: | Ministry of Health (MoH) [Tanzania Mainland], Ministry of Health (MoH) [Zanzibar], National Bureau of Statistics (NBS), Office of the Chief Government Statistician (OCGS), and ICF. 2022. Tanzania Demographic and Health Survey and Malaria Indicator Survey 2022 Final Report. Dodoma, Tanzania, and Rockville, Maryland, USA: MoH, NBS, OCGS, and ICF. Available at https://dhsprogram.com/pubs/pdf/FR382/FR382.pdf (last accessed 17.04.24) |
| Ja nav norÄdÄ«ts citÄdi, liekais svars attiecas uz ĶMI no 25 kg lÄ«dz 29,9 kg/m², aptaukoÅ¡anÄs attiecas uz ĶMI, kas lielÄks par 30 kg/m². | |
Sievietes, 2022
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| Vecums: | 20-49 |
| Izlases lielums: | 9608 |
| AptvertÄ teritorija: | Valsts |
| Atsauces: | Ministry of Health (MoH) [Tanzania Mainland], Ministry of Health (MoH) [Zanzibar], National Bureau of Statistics (NBS), Office of the Chief Government Statistician (OCGS), and ICF. 2022. Tanzania Demographic and Health Survey and Malaria Indicator Survey 2022 Final Report. Dodoma, Tanzania, and Rockville, Maryland, USA: MoH, NBS, OCGS, and ICF. Available at https://dhsprogram.com/pubs/pdf/FR382/FR382.pdf (last accessed 17.04.24) |
| Ja nav norÄdÄ«ts citÄdi, liekais svars attiecas uz ĶMI no 25 kg lÄ«dz 29,9 kg/m², aptaukoÅ¡anÄs attiecas uz ĶMI, kas lielÄks par 30 kg/m². | |
Sievietes, 2018
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| Vecums: | 15-49 |
| Izlases lielums: | 8,482 |
| AptvertÄ teritorija: | Valsts |
| Atsauces: | Ministry of Health, Community Development, Gender, Elderly and Children (MoHCDGEC) [Tanzania Mainland], Ministry of Health (MoH) [Zanzibar], Tanzania Food and Nutrition Centre (TFNC), National Bureau of Statistics (NBS), Office of the Chief Government Statistician (OCGS) [Zanzibar] and UNICEF. 2018. Tanzania National Nutrition Survey using SMART Methodology (TNNS) 2018. Dar es Salaam, Tanzania: MoHCDGEC, MoH, TFNC, NBS, OCGS, and UNICEF. Available at: https://www.unicef.org/tanzania/media/2141/file/tanzania%20national%20nutrition%20survey%202018.pdf [Accessed 20.01.26] |
| PiezÄ«mes (pieejamas tikai angļu valodÄ): | Overweight/obesity by smaller region is available in report |
| Ja nav norÄdÄ«ts citÄdi, liekais svars attiecas uz ĶMI no 25 kg lÄ«dz 29,9 kg/m², aptaukoÅ¡anÄs attiecas uz ĶMI, kas lielÄks par 30 kg/m². | |
Sievietes, 2015-2016
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| Vecums: | 15-49 |
| Izlases lielums: | 11635 |
| AptvertÄ teritorija: | Valsts |
| Atsauces: | Ministry of Health, Community Development, Gender, Elderly and Children - MoHCDGEC/Tanzania Mainland, Ministry of Health - MoH/Zanzibar, National Bureau of Statistics - NBS/Tanzania, Office of Chief Government Statistician - OCGS/Zanzibar, and ICF. 2016. Tanzania Demographic and Health Survey and Malaria Indicator Survey (TDHS-MIS) 2015-16. Dar es Salaam/Tanzania: MoHCDGEC, MoH, NBS, OCGS, and ICF. |
| PiezÄ«mes (pieejamas tikai angļu valodÄ): | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
| Ja nav norÄdÄ«ts citÄdi, liekais svars attiecas uz ĶMI no 25 kg lÄ«dz 29,9 kg/m², aptaukoÅ¡anÄs attiecas uz ĶMI, kas lielÄks par 30 kg/m². | |
Sievietes, 2014
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| Vecums: | 15-49 |
| Izlases lielums: | 16,652 |
| AptvertÄ teritorija: | Valsts |
| Atsauces: | Ministry of Health and Social Welfare, The United Republic of Tanzania. 2015. Tanzania National Nutrition Survey 2024. Final Report. Prepared by Tanzania Food and Nutrition Centre. Available at: https://reliefweb.int/report/united-republic-tanzania/tanzania-national-nutrition-survey-2014-final-report-data-collection [Accessed 20.01.26] |
| PiezÄ«mes (pieejamas tikai angļu valodÄ): | Overweight/obesity by smaller region is available in report |
| Ja nav norÄdÄ«ts citÄdi, liekais svars attiecas uz ĶMI no 25 kg lÄ«dz 29,9 kg/m², aptaukoÅ¡anÄs attiecas uz ĶMI, kas lielÄks par 30 kg/m². | |
ZÄ“ni, 2022
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| Vecums: | 15-19 |
| Izlases lielums: | 2863 |
| AptvertÄ teritorija: | Valsts |
| Atsauces: | Ministry of Health (MoH) [Tanzania Mainland], Ministry of Health (MoH) [Zanzibar], National Bureau of Statistics (NBS), Office of the Chief Government Statistician (OCGS), and ICF. 2022. Tanzania Demographic and Health Survey and Malaria Indicator Survey 2022 Final Report. Dodoma, Tanzania, and Rockville, Maryland, USA: MoH, NBS, OCGS, and ICF. Available at https://dhsprogram.com/pubs/pdf/FR382/FR382.pdf (last accessed 17.04.24) |
| Cutoffs: | WHO |
Meitenes, 2022
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| Vecums: | 15-19 |
| Izlases lielums: | 2863 |
| AptvertÄ teritorija: | Valsts |
| Atsauces: | Ministry of Health (MoH) [Tanzania Mainland], Ministry of Health (MoH) [Zanzibar], National Bureau of Statistics (NBS), Office of the Chief Government Statistician (OCGS), and ICF. 2022. Tanzania Demographic and Health Survey and Malaria Indicator Survey 2022 Final Report. Dodoma, Tanzania, and Rockville, Maryland, USA: MoH, NBS, OCGS, and ICF. Available at https://dhsprogram.com/pubs/pdf/FR382/FR382.pdf (last accessed 17.04.24) |
| Cutoffs: | WHO |
BÄ“rni, 2019
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| Vecums: | 9-11 |
| Izlases lielums: | 1170 |
| AptvertÄ teritorija: | ReÄ£ioni |
| Atsauces: | Mosha MV, Msuya SE, Kasagama E, Ayieko P, Todd J, Filteau S. Prevalence and correlates of overweight and obesity among primary school children in Kilimanjaro, Tanzania. PLoS One. 2021 Apr 22;16(4):e0249595. doi: 10.1371/journal.pone.0249595. PMID: 33886578; PMCID: PMC8061999. |
| Cutoffs: | WHO |
Meitenes, 2015-2016
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| Vecums: | 15-19 |
| Izlases lielums: | 2157 |
| AptvertÄ teritorija: | Valsts |
| Atsauces: | Benedict, Rukundo K., Allison Schmale, and Sorrel Namaste. 2018. Adolescent Nutrition 2000-2017: DHS Data on Adolescents Age 15-19. DHS Comparative Report No. 47. Rockville, Maryland, USA: ICF. Ministry of Health, Community Development, Gender, Elderly and Children - MoHCDGEC/Tanzania Mainland, Ministry of Health - MoH/Zanzibar, National Bureau of Statistics - NBS/Tanzania, Office of Chief Government Statistician - OCGS/Zanzibar, and ICF. 2016. Tanzania Demographic and Health Survey and Malaria Indicator Survey (TDHS-MIS) 2015-16. Dar es Salaam/Tanzania: MoHCDGEC, MoH, NBS, OCGS, and ICF |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | BMI for age: between +1 SD and +2 SD is overweight and greater than +2 SD is obesity |
| Cutoffs: | WHO 2007 |
0-5 years, 2022
| Izlases lielums: | 5485 |
| Atsauces: | DHS: The 2022 Tanzania Demographic and Health Survey and Malaria Indicator Survey |
| PiezÄ«mes (pieejamas tikai angļu valodÄ): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | =>+2SD |
0-5 years, 2020-2021
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| Izlases lielums: | 8654907 |
| AptvertÄ teritorija: | Valsts |
| Atsauces: | National Panel Survey 2020-21, Wave 5 |
| PiezÄ«mes (pieejamas tikai angļu valodÄ): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight estimates: National and Disaggregated, July 2025, New York. Weighted sample size. For more information, please consult https://data.unicef.org/resources/jme/. |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Cutoffs: | =>+2SD |
0-5 years, 2019-2020
| Izlases lielums: | 5223133 |
| Atsauces: | LSMS: Tanzania National Panel Survey 2019-2020 - Extended Panel with Sex Disaggregated Data |
| PiezÄ«mes (pieejamas tikai angļu valodÄ): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | =>+2SD |
0-5 years, 2019-2020
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| Vecums: | 1-5 |
| Izlases lielums: | 5223132 |
| AptvertÄ teritorija: | Valsts |
| Atsauces: | Tanzania National Panel Survey 2019-2020 - Extended Panel with Sex Disaggregated Data |
| PiezÄ«mes (pieejamas tikai angļu valodÄ): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight estimates: National and Disaggregated, July 2025, New York. Weighted sample size. For more information, please consult https://data.unicef.org/resources/jme/. NB. 12 to 59 months |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Cutoffs: | =>+2SD |
0-5 years, 2015-2016
| Izlases lielums: | 9816 |
| Atsauces: | DHS: Tanzania demographic and health survey 2015-16. Demographic and Health Surveys. Dar es Salaam, Tanzania: NBS and ICF International, 2016 |
| PiezÄ«mes (pieejamas tikai angļu valodÄ): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | =>+2SD |
0-5 years, 2012-2013
| Izlases lielums: | 6565673 |
| Atsauces: | LSMS: Tanzania National Panel Survey Report (NPS) - Wave 3, 2012 - 2013. Dar es Salaam, Tanzania: NBS, 2014 |
| PiezÄ«mes (pieejamas tikai angļu valodÄ): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | =>+2SD |
0-5 years, 2010-2011
| Izlases lielums: | 6801409 |
| Atsauces: | LSMS: Tanzania National Panel Survey Report (NPS) - Wave 2, 2010 - 2011. Dar es Salaam, Tanzania: NBS, 2012. |
| PiezÄ«mes (pieejamas tikai angļu valodÄ): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | =>+2SD |
0-5 years, 2009-2010
| Izlases lielums: | 7560 |
| Atsauces: | DHS: Tanzania demographic and health survey 2010. Demographic and Health Surveys. Dar es Salaam, Tanzania: NBS and ICF Macro, 2011 |
| PiezÄ«mes (pieejamas tikai angļu valodÄ): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | =>+2SD |
0-5 years, 2008-2009
| Izlases lielums: | 5728513 |
| Atsauces: | LSMS: Tanzania National Panel Survey Report (NPS) - Wave 2, 2008 - 2009. Dar es Salaam, Tanzania: NBS |
| PiezÄ«mes (pieejamas tikai angļu valodÄ): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | =>+2SD |
0-5 years, 2004-2005
| Izlases lielums: | 8118 |
| Atsauces: | DHS: Tanzania demographic and health survey 2004-05. Demographic and Health Surveys. Dar es Salaam, Tanzania: National Bureau of Statistics and ORC Macro, 2005 |
| PiezÄ«mes (pieejamas tikai angļu valodÄ): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | =>+2SD |
0-5 years, 1999
| Izlases lielums: | 2617 |
| Atsauces: | DHS: Tanzania reproductive and child health survey 1999. Demographic and Health Surveys. Calverton, Maryland: National Bureau of Statistics [Tanzania] and Macro International Inc., 2000 |
| PiezÄ«mes (pieejamas tikai angļu valodÄ): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | =>+2SD |
0-5 years, 1996
| Izlases lielums: | 5520 |
| Atsauces: | DHS: Tanzania demographic and health survey 1996. Demographic and Health Surveys. Calverton, Maryland: Bureau of Statistics and Macro International Inc., 1997 |
| PiezÄ«mes (pieejamas tikai angļu valodÄ): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | =>+2SD |
0-5 years, 1991-1992
| Izlases lielums: | 6517 |
| Atsauces: | DHS: Tanzania demographic and health survey 1991/92. Demographic and Health Surveys. Dar es Salaam, United Republic of Tanzania, 1992 |
| PiezÄ«mes (pieejamas tikai angļu valodÄ): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | =>+2SD |
Liekais svars/aptaukošan?s p?c soci?lekonomisk?s grupas
V?rieši, 2022
| Apsekojuma veids: | M?r?t? v?rt?ba |
| Vecums: | 20-49 |
| Izlases lielums: | 9608 |
| Aptvert? teritorija: | Valsts |
| Atsauces: | Ministry of Health (MoH) [Tanzania Mainland], Ministry of Health (MoH) [Zanzibar], National Bureau of Statistics (NBS), Office of the Chief Government Statistician (OCGS), and ICF. 2022. Tanzania Demographic and Health Survey and Malaria Indicator Survey 2022 Final Report. Dodoma, Tanzania, and Rockville, Maryland, USA: MoH, NBS, OCGS, and ICF. Available at https://dhsprogram.com/pubs/pdf/FR382/FR382.pdf (last accessed 17.04.24) |
| Ja nav nor?d?ts cit?di, liekais svars attiecas uz ?MI no 25 kg l?dz 29,9 kg/m², aptaukošan?s attiecas uz ?MI, kas liel?ks par 30 kg/m². | |
Sievietes, 2022
| Apsekojuma veids: | M?r?t? v?rt?ba |
| Vecums: | 20-49 |
| Izlases lielums: | 9608 |
| Aptvert? teritorija: | Valsts |
| Atsauces: | Ministry of Health (MoH) [Tanzania Mainland], Ministry of Health (MoH) [Zanzibar], National Bureau of Statistics (NBS), Office of the Chief Government Statistician (OCGS), and ICF. 2022. Tanzania Demographic and Health Survey and Malaria Indicator Survey 2022 Final Report. Dodoma, Tanzania, and Rockville, Maryland, USA: MoH, NBS, OCGS, and ICF. Available at https://dhsprogram.com/pubs/pdf/FR382/FR382.pdf (last accessed 17.04.24) |
| Ja nav nor?d?ts cit?di, liekais svars attiecas uz ?MI no 25 kg l?dz 29,9 kg/m², aptaukošan?s attiecas uz ?MI, kas liel?ks par 30 kg/m². | |
Sievietes, 2015-2016
| Apsekojuma veids: | M?r?t? v?rt?ba |
| Vecums: | 15-49 |
| Izlases lielums: | 11635 |
| Aptvert? teritorija: | Valsts |
| Atsauces: | Ministry of Health, Community Development, Gender, Elderly and Children - MoHCDGEC/Tanzania Mainland, Ministry of Health - MoH/Zanzibar, National Bureau of Statistics - NBS/Tanzania, Office of Chief Government Statistician - OCGS/Zanzibar, and ICF. 2016. Tanzania Demographic and Health Survey and Malaria Indicator Survey (TDHS-MIS) 2015-16. Dar es Salaam/Tanzania: MoHCDGEC, MoH, NBS, OCGS, and ICF.(http://www.dhsprogram.com/publications/publication-FR321-DHS-Final-Reports.cfm accessed 4th January 2017) |
| Piez?mes (pieejamas tikai ang?u valod?): | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
| Ja nav nor?d?ts cit?di, liekais svars attiecas uz ?MI no 25 kg l?dz 29,9 kg/m², aptaukošan?s attiecas uz ?MI, kas liel?ks par 30 kg/m². | |
Z?ni, 2022
| Apsekojuma veids: | M?r?t? v?rt?ba |
| Vecums: | 15-19 |
| Izlases lielums: | 2863 |
| Aptvert? teritorija: | Valsts |
| Atsauces: | Ministry of Health (MoH) [Tanzania Mainland], Ministry of Health (MoH) [Zanzibar], National Bureau of Statistics (NBS), Office of the Chief Government Statistician (OCGS), and ICF. 2022. Tanzania Demographic and Health Survey and Malaria Indicator Survey 2022 Final Report. Dodoma, Tanzania, and Rockville, Maryland, USA: MoH, NBS, OCGS, and ICF. Available at https://dhsprogram.com/pubs/pdf/FR382/FR382.pdf (last accessed 17.04.24) |
| Cutoffs: | WHO |
Meitenes, 2022
| Apsekojuma veids: | M?r?t? v?rt?ba |
| Vecums: | 15-19 |
| Izlases lielums: | 2863 |
| Aptvert? teritorija: | Valsts |
| Atsauces: | Ministry of Health (MoH) [Tanzania Mainland], Ministry of Health (MoH) [Zanzibar], National Bureau of Statistics (NBS), Office of the Chief Government Statistician (OCGS), and ICF. 2022. Tanzania Demographic and Health Survey and Malaria Indicator Survey 2022 Final Report. Dodoma, Tanzania, and Rockville, Maryland, USA: MoH, NBS, OCGS, and ICF. Available at https://dhsprogram.com/pubs/pdf/FR382/FR382.pdf (last accessed 17.04.24) |
| Cutoffs: | WHO |
B?rni, 2019
| Apsekojuma veids: | M?r?t? v?rt?ba |
| Vecums: | 9-11 |
| Izlases lielums: | 1170 |
| Aptvert? teritorija: | Re?ioni |
| Atsauces: | Mosha MV, Msuya SE, Kasagama E, Ayieko P, Todd J, Filteau S. Prevalence and correlates of overweight and obesity among primary school children in Kilimanjaro, Tanzania. PLoS One. 2021 Apr 22;16(4):e0249595. doi: 10.1371/journal.pone.0249595. PMID: 33886578; PMCID: PMC8061999. |
| Piez?mes (pieejamas tikai ang?u valod?): | Type of School has been used to classify wealth. Privately educated are classified as Richer, Governement educated Poorer |
| Cutoffs: | WHO |
B?rni, 2012
| Apsekojuma veids: | M?r?t? v?rt?ba |
| Vecums: | 8-13 |
| Izlases lielums: | 1781 |
| Aptvert? teritorija: | Re?ioni |
| Atsauces: | Pangani IN, Kiplamai FK, Kamau JW, Onywera VO. Prevalence of Overweight and Obesity among Primary School Children Aged 8-13 Years in Dar es Salaam City, Tanzania. Adv Prev Med. 2016;2016:1345017. doi: 10.1155/2016/1345017. Epub 2016 Jun 14. PMID: 27403343; PMCID: PMC4923524. |
| Piez?mes (pieejamas tikai ang?u valod?): | Wealth based on type of education. Privately educated children classified as Richer, those not privately educated classified as Poorer |
| Cutoffs: | WHO |
0-5 years, 2022
| Izlases lielums: | 5485 |
| Atsauces: | DHS: The 2022 Tanzania Demographic and Health Survey and Malaria Indicator Survey |
| Piez?mes (pieejamas tikai ang?u valod?): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Defin?cijas (pieejamas tikai ang?u valod?): | =>+2SD |
0-5 years, 2015-2016
| Izlases lielums: | 9816 |
| Atsauces: | DHS: Tanzania demographic and health survey 2015-16. Demographic and Health Surveys. Dar es Salaam, Tanzania: NBS and ICF International, 2016 |
| Piez?mes (pieejamas tikai ang?u valod?): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Defin?cijas (pieejamas tikai ang?u valod?): | =>+2SD |
0-5 years, 2009-2010
| Izlases lielums: | 7560 |
| Atsauces: | DHS: Tanzania demographic and health survey 2010. Demographic and Health Surveys. Dar es Salaam, Tanzania: NBS and ICF Macro, 2011 |
| Piez?mes (pieejamas tikai ang?u valod?): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Defin?cijas (pieejamas tikai ang?u valod?): | =>+2SD |
0-5 years, 2004-2005
| Izlases lielums: | 8118 |
| Atsauces: | DHS: Tanzania demographic and health survey 2004-05. Demographic and Health Surveys. Dar es Salaam, Tanzania: National Bureau of Statistics and ORC Macro, 2005 |
| Piez?mes (pieejamas tikai ang?u valod?): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Defin?cijas (pieejamas tikai ang?u valod?): | =>+2SD |
0-5 years, 1999
| Izlases lielums: | 2617 |
| Atsauces: | DHS: Tanzania reproductive and child health survey 1999. Demographic and Health Surveys. Calverton, Maryland: National Bureau of Statistics [Tanzania] and Macro International Inc., 2000 |
| Piez?mes (pieejamas tikai ang?u valod?): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Defin?cijas (pieejamas tikai ang?u valod?): | =>+2SD |
0-5 years, 1996
| Izlases lielums: | 5520 |
| Atsauces: | DHS: Tanzania demographic and health survey 1996. Demographic and Health Surveys. Calverton, Maryland: Bureau of Statistics and Macro International Inc., 1997 |
| Piez?mes (pieejamas tikai ang?u valod?): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Defin?cijas (pieejamas tikai ang?u valod?): | =>+2SD |
Double burden of underweight & overweight
Pieaugušie, 2022
| Apsekojuma veids: | M?r?t? v?rt?ba |
| Vecums: | 20+ |
| Atsauces: | NCD Risk Factor Collaboration (NCD-RisC). Worldwide trends in underweight and obesity from 1990 to 2022: a pooled analysis of 3663 population representative studies with 222 million children, adolescents, and adults. Lancet 2024; published online Feb 29. https://doi.org/10.1016/S0140-6736(23)02750-2. |
| Piez?mes (pieejamas tikai ang?u valod?): | Age Standardised estimates |
| Defin?cijas (pieejamas tikai ang?u valod?): | Combined prevalence of BMI<18.5 kg/m² and BMI>=30 kg/m² (double burden of underweight and obesity) |
B?rni, 2022
| Apsekojuma veids: | M?r?t? v?rt?ba |
| Vecums: | 5-19 |
| Atsauces: | NCD Risk Factor Collaboration (NCD-RisC). Worldwide trends in underweight and obesity from 1990 to 2022: a pooled analysis of 3663 population representative studies with 222 million children, adolescents, and adults. Lancet 2024; published online Feb 29. https://doi.org/10.1016/S0140-6736(23)02750-2. |
| Piez?mes (pieejamas tikai ang?u valod?): | Age standardised estimates |
| Defin?cijas (pieejamas tikai ang?u valod?): | Combined prevalence of BMI < -2SD and BMI > 2SD (double burden of thinness and obesity) |
| Cutoffs: | BMI < -2SD and BMI > 2SD |
0-5 years, 2022
| Apsekojuma veids: | M?r?t? v?rt?ba |
| Vecums: | 0-5 |
| Atsauces: | United Nations Children’s Fund, Division of Data, Analysis, Planning and Monitoring (2025). Global UNICEF Global Databases: Overlapping Stunting, Wasting and Overweight (Survey Estimates), 2025, New York. For more information, visit: https://data.unicef.org/topic/nutrition/malnutrition/ [Accessed 06.08.25] |
| Piez?mes (pieejamas tikai ang?u valod?): | The 2022 Tanzania Demographic and Health Survey and Malaria Indicator Survey |
| Defin?cijas (pieejamas tikai ang?u valod?): | Combined percentage of children under 5 years of age who are either wasted, stunted, or overweight (falling below -2 standard deviations from the median weight-for-height, falling below -2 standard deviations from the median height for age, or falling at or above +2 standard deviations from the median weight-for-height of the reference population) |
| Cutoffs: | WHZ <-2, HAZ <-2 and WHZ >+2 |
0-5 years, 2020-2021
| Apsekojuma veids: | M?r?t? v?rt?ba |
| Vecums: | 0-5 |
| Atsauces: | United Nations Children’s Fund, Division of Data, Analysis, Planning and Monitoring (2025). Global UNICEF Global Databases: Overlapping Stunting, Wasting and Overweight (Survey Estimates), 2025, New York. For more information, visit: https://data.unicef.org/topic/nutrition/malnutrition/ [Accessed 06.08.25] |
| Piez?mes (pieejamas tikai ang?u valod?): | National Panel Survey 2020-21, Wave 5 |
| Defin?cijas (pieejamas tikai ang?u valod?): | Combined percentage of children under 5 years of age who are either wasted, stunted, or overweight (falling below -2 standard deviations from the median weight-for-height, falling below -2 standard deviations from the median height for age, or falling at or above +2 standard deviations from the median weight-for-height of the reference population) |
| Cutoffs: | WHZ <-2, HAZ <-2 and WHZ >+2 |
0-5 years, 2015-2016
| Apsekojuma veids: | M?r?t? v?rt?ba |
| Vecums: | 0-5 |
| Atsauces: | United Nations Children’s Fund, Division of Data, Analysis, Planning and Monitoring (2025). Global UNICEF Global Databases: Overlapping Stunting, Wasting and Overweight (Survey Estimates), 2025, New York. For more information, visit: https://data.unicef.org/topic/nutrition/malnutrition/ [Accessed 06.08.25] |
| Piez?mes (pieejamas tikai ang?u valod?): | Tanzania demographic and health survey 2015-16. Demographic and Health Surveys. Dar es Salaam, Tanzania: NBS and ICF International, 2016 |
| Defin?cijas (pieejamas tikai ang?u valod?): | Combined percentage of children under 5 years of age who are either wasted, stunted, or overweight (falling below -2 standard deviations from the median weight-for-height, falling below -2 standard deviations from the median height for age, or falling at or above +2 standard deviations from the median weight-for-height of the reference population) |
| Cutoffs: | WHZ <-2, HAZ <-2 and WHZ >+2 |
0-5 years, 2012-2013
| Apsekojuma veids: | M?r?t? v?rt?ba |
| Vecums: | 0-5 |
| Atsauces: | United Nations Children’s Fund, Division of Data, Analysis, Planning and Monitoring (2025). Global UNICEF Global Databases: Overlapping Stunting, Wasting and Overweight (Survey Estimates), 2025, New York. For more information, visit: https://data.unicef.org/topic/nutrition/malnutrition/ [Accessed 06.08.25] |
| Piez?mes (pieejamas tikai ang?u valod?): | Tanzania National Panel Survey Report (NPS) - Wave 3, 2012 - 2013. Dar es Salaam, Tanzania: NBS, 2014 |
| Defin?cijas (pieejamas tikai ang?u valod?): | Combined percentage of children under 5 years of age who are either wasted, stunted, or overweight (falling below -2 standard deviations from the median weight-for-height, falling below -2 standard deviations from the median height for age, or falling at or above +2 standard deviations from the median weight-for-height of the reference population) |
| Cutoffs: | WHZ <-2, HAZ <-2 and WHZ >+2 |
0-5 years, 2010-2011
| Apsekojuma veids: | M?r?t? v?rt?ba |
| Vecums: | 0-5 |
| Atsauces: | United Nations Children’s Fund, Division of Data, Analysis, Planning and Monitoring (2025). Global UNICEF Global Databases: Overlapping Stunting, Wasting and Overweight (Survey Estimates), 2025, New York. For more information, visit: https://data.unicef.org/topic/nutrition/malnutrition/ [Accessed 06.08.25] |
| Piez?mes (pieejamas tikai ang?u valod?): | Tanzania National Panel Survey Report (NPS) - Wave 2, 2010 - 2011. Dar es Salaam, Tanzania: NBS, 2012. |
| Defin?cijas (pieejamas tikai ang?u valod?): | Combined percentage of children under 5 years of age who are either wasted, stunted, or overweight (falling below -2 standard deviations from the median weight-for-height, falling below -2 standard deviations from the median height for age, or falling at or above +2 standard deviations from the median weight-for-height of the reference population) |
| Cutoffs: | WHZ <-2, HAZ <-2 and WHZ >+2 |
0-5 years, 2009-2010
| Apsekojuma veids: | M?r?t? v?rt?ba |
| Vecums: | 0-5 |
| Atsauces: | United Nations Children’s Fund, Division of Data, Analysis, Planning and Monitoring (2025). Global UNICEF Global Databases: Overlapping Stunting, Wasting and Overweight (Survey Estimates), 2025, New York. For more information, visit: https://data.unicef.org/topic/nutrition/malnutrition/ [Accessed 06.08.25] |
| Piez?mes (pieejamas tikai ang?u valod?): | Tanzania demographic and health survey 2010. Demographic and Health Surveys. Dar es Salaam, Tanzania: NBS and ICF Macro, 2011 |
| Defin?cijas (pieejamas tikai ang?u valod?): | Combined percentage of children under 5 years of age who are either wasted, stunted, or overweight (falling below -2 standard deviations from the median weight-for-height, falling below -2 standard deviations from the median height for age, or falling at or above +2 standard deviations from the median weight-for-height of the reference population) |
| Cutoffs: | WHZ <-2, HAZ <-2 and WHZ >+2 |
0-5 years, 2008-2009
| Apsekojuma veids: | M?r?t? v?rt?ba |
| Vecums: | 0-5 |
| Atsauces: | United Nations Children’s Fund, Division of Data, Analysis, Planning and Monitoring (2025). Global UNICEF Global Databases: Overlapping Stunting, Wasting and Overweight (Survey Estimates), 2025, New York. For more information, visit: https://data.unicef.org/topic/nutrition/malnutrition/ [Accessed 06.08.25] |
| Piez?mes (pieejamas tikai ang?u valod?): | Tanzania National Panel Survey Report (NPS) - Wave 2, 2008 - 2009. Dar es Salaam, Tanzania: NBS |
| Defin?cijas (pieejamas tikai ang?u valod?): | Combined percentage of children under 5 years of age who are either wasted, stunted, or overweight (falling below -2 standard deviations from the median weight-for-height, falling below -2 standard deviations from the median height for age, or falling at or above +2 standard deviations from the median weight-for-height of the reference population) |
| Cutoffs: | WHZ <-2, HAZ <-2 and WHZ >+2 |
0-5 years, 2004-2005
| Apsekojuma veids: | M?r?t? v?rt?ba |
| Vecums: | 0-5 |
| Atsauces: | United Nations Children’s Fund, Division of Data, Analysis, Planning and Monitoring (2025). Global UNICEF Global Databases: Overlapping Stunting, Wasting and Overweight (Survey Estimates), 2025, New York. For more information, visit: https://data.unicef.org/topic/nutrition/malnutrition/ [Accessed 06.08.25] |
| Piez?mes (pieejamas tikai ang?u valod?): | Tanzania demographic and health survey 2004-05. Demographic and Health Surveys. Dar es Salaam, Tanzania: National Bureau of Statistics and ORC Macro, 2005 |
| Defin?cijas (pieejamas tikai ang?u valod?): | Combined percentage of children under 5 years of age who are either wasted, stunted, or overweight (falling below -2 standard deviations from the median weight-for-height, falling below -2 standard deviations from the median height for age, or falling at or above +2 standard deviations from the median weight-for-height of the reference population) |
| Cutoffs: | WHZ <-2, HAZ <-2 and WHZ >+2 |
0-5 years, 1999
| Apsekojuma veids: | M?r?t? v?rt?ba |
| Vecums: | 0-5 |
| Atsauces: | United Nations Children’s Fund, Division of Data, Analysis, Planning and Monitoring (2025). Global UNICEF Global Databases: Overlapping Stunting, Wasting and Overweight (Survey Estimates), 2025, New York. For more information, visit: https://data.unicef.org/topic/nutrition/malnutrition/ [Accessed 06.08.25] |
| Piez?mes (pieejamas tikai ang?u valod?): | Tanzania reproductive and child health survey 1999. Demographic and Health Surveys. Calverton, Maryland: National Bureau of Statistics [Tanzania] and Macro International Inc., 2000 |
| Defin?cijas (pieejamas tikai ang?u valod?): | Combined percentage of children under 5 years of age who are either wasted, stunted, or overweight (falling below -2 standard deviations from the median weight-for-height, falling below -2 standard deviations from the median height for age, or falling at or above +2 standard deviations from the median weight-for-height of the reference population) |
| Cutoffs: | WHZ <-2, HAZ <-2 and WHZ >+2 |
0-5 years, 1996
| Apsekojuma veids: | M?r?t? v?rt?ba |
| Vecums: | 0-5 |
| Atsauces: | United Nations Children’s Fund, Division of Data, Analysis, Planning and Monitoring (2025). Global UNICEF Global Databases: Overlapping Stunting, Wasting and Overweight (Survey Estimates), 2025, New York. For more information, visit: https://data.unicef.org/topic/nutrition/malnutrition/ [Accessed 06.08.25] |
| Piez?mes (pieejamas tikai ang?u valod?): | Tanzania demographic and health survey 1996. Demographic and Health Surveys. Calverton, Maryland: Bureau of Statistics and Macro International Inc., 1997 |
| Defin?cijas (pieejamas tikai ang?u valod?): | Combined percentage of children under 5 years of age who are either wasted, stunted, or overweight (falling below -2 standard deviations from the median weight-for-height, falling below -2 standard deviations from the median height for age, or falling at or above +2 standard deviations from the median weight-for-height of the reference population) |
| Cutoffs: | WHZ <-2, HAZ <-2 and WHZ >+2 |
0-5 years, 1991-1992
| Apsekojuma veids: | M?r?t? v?rt?ba |
| Vecums: | 0-5 |
| Atsauces: | United Nations Children’s Fund, Division of Data, Analysis, Planning and Monitoring (2025). Global UNICEF Global Databases: Overlapping Stunting, Wasting and Overweight (Survey Estimates), 2025, New York. For more information, visit: https://data.unicef.org/topic/nutrition/malnutrition/ [Accessed 06.08.25] |
| Piez?mes (pieejamas tikai ang?u valod?): | Tanzania demographic and health survey 1991/92. Demographic and Health Surveys. Dar es Salaam, United Republic of Tanzania, 1992 |
| Defin?cijas (pieejamas tikai ang?u valod?): | Combined percentage of children under 5 years of age who are either wasted, stunted, or overweight (falling below -2 standard deviations from the median weight-for-height, falling below -2 standard deviations from the median height for age, or falling at or above +2 standard deviations from the median weight-for-height of the reference population) |
| Cutoffs: | WHZ <-2, HAZ <-2 and WHZ >+2 |
Nepietiekamas fizisk?s aktivit?tes
Pieaugušie, 2022
| Apsekojuma veids: | Pašu zi?ojums |
| Vecums: | 18+ |
| Aptvert? teritorija: | Valsts |
| Atsauces: | WHO (2024). Prevalence of insufficient physical activity among adults aged 18-years age-standardized estimate in 2022. Available at https://www.who.int/data/gho/data/indicators/indicator-details/GHO/prevalence-of-insufficient-physical-activity-among-adults-aged-18-years-(age-standardized-estimate)-(-) |
| Defin?cijas (pieejamas tikai ang?u valod?): | Percent of population attaining less than 150 minutes of moderate-intensity physical activity per week, or less than 75 minutes of vigorous-intensity physical activity per week, or equivalent. |
V?rieši, 2022
| Apsekojuma veids: | Pašu zi?ojums |
| Vecums: | 18+ |
| Aptvert? teritorija: | Valsts |
| Atsauces: | WHO (2024). Prevalence of insufficient physical activity among adults aged 18-years age-standardized estimate in 2022. Available at https://www.who.int/data/gho/data/indicators/indicator-details/GHO/prevalence-of-insufficient-physical-activity-among-adults-aged-18-years-(age-standardized-estimate)-(-) |
| Defin?cijas (pieejamas tikai ang?u valod?): | Percent of population attaining less than 150 minutes of moderate-intensity physical activity per week, or less than 75 minutes of vigorous-intensity physical activity per week, or equivalent. |
Sievietes, 2022
| Apsekojuma veids: | Pašu zi?ojums |
| Vecums: | 18+ |
| Aptvert? teritorija: | Valsts |
| Atsauces: | WHO (2024). Prevalence of insufficient physical activity among adults aged 18-years age-standardized estimate in 2022. Available at https://www.who.int/data/gho/data/indicators/indicator-details/GHO/prevalence-of-insufficient-physical-activity-among-adults-aged-18-years-(age-standardized-estimate)-(-) |
| Defin?cijas (pieejamas tikai ang?u valod?): | Percent of population attaining less than 150 minutes of moderate-intensity physical activity per week, or less than 75 minutes of vigorous-intensity physical activity per week, or equivalent. |
Pieaugušie, 2016
| Atsauces: | Guthold R, Stevens GA, Riley LM, Bull FC. Worldwide trends in insufficient physical activity from 2001 to 2016: a pooled analysis of 358 population-based surveys with 1.9 million participants. Lancet 2018 http://dx.doi.org/10.1016/S2214-109X(18)30357-7 |
V?rieši, 2016
| Atsauces: | Guthold R, Stevens GA, Riley LM, Bull FC. Worldwide trends in insufficient physical activity from 2001 to 2016: a pooled analysis of 358 population-based surveys with 1.9 million participants. Lancet 2018 http://dx.doi.org/10.1016/S2214-109X(18)30357-7 |
Sievietes, 2016
| Atsauces: | Guthold R, Stevens GA, Riley LM, Bull FC. Worldwide trends in insufficient physical activity from 2001 to 2016: a pooled analysis of 358 population-based surveys with 1.9 million participants. Lancet 2018 http://dx.doi.org/10.1016/S2214-109X(18)30357-7 |
B?rni, 2016
| Apsekojuma veids: | Pašu zi?ojums |
| Vecums: | 11-17 |
| Atsauces: | Global Health Observatory data repository, World Health Organisation, https://apps.who.int/gho/data/node.main.A893ADO?lang=en (last accessed 16.03.21) |
| Piez?mes (pieejamas tikai ang?u valod?): | % of school going adolescents not meeting WHO recommendations on Physical Activity for Health, i.e. doing less than 60 minutes of moderate- to vigorous-intensity physical activity daily. |
| Defin?cijas (pieejamas tikai ang?u valod?): | % Adolescents insufficiently active (age standardised estimate) |
Z?ni, 2016
| Apsekojuma veids: | Pašu zi?ojums |
| Vecums: | 11-17 |
| Atsauces: | Global Health Observatory data repository, World Health Organisation, https://apps.who.int/gho/data/node.main.A893ADO?lang=en (last accessed 16.03.21) |
| Piez?mes (pieejamas tikai ang?u valod?): | % of school going adolescents not meeting WHO recommendations on Physical Activity for Health, i.e. doing less than 60 minutes of moderate- to vigorous-intensity physical activity daily. |
| Defin?cijas (pieejamas tikai ang?u valod?): | % Adolescents insufficiently active (age standardised estimate) |
Meitenes, 2016
| Apsekojuma veids: | Pašu zi?ojums |
| Vecums: | 11-17 |
| Atsauces: | Global Health Observatory data repository, World Health Organisation, https://apps.who.int/gho/data/node.main.A893ADO?lang=en (last accessed 16.03.21) |
| Piez?mes (pieejamas tikai ang?u valod?): | % of school going adolescents not meeting WHO recommendations on Physical Activity for Health, i.e. doing less than 60 minutes of moderate- to vigorous-intensity physical activity daily. |
| Defin?cijas (pieejamas tikai ang?u valod?): | % Adolescents insufficiently active (age standardised estimate) |
B?rni, 2010
| Vecums: | 11-17 |
| Atsauces: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A893?lang=en |
| Piez?mes (pieejamas tikai ang?u valod?): | % of school going adolescents not meeting WHO recommendations on Physical Activity for Health, i.e. doing less than 60 minutes of moderate- to vigorous-intensity physical activity daily. |
| Defin?cijas (pieejamas tikai ang?u valod?): | % Adolescents insufficiently active (age standardised estimate) |
Z?ni, 2010
| Vecums: | 11-17 |
| Atsauces: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A893?lang=en |
| Piez?mes (pieejamas tikai ang?u valod?): | % of school going adolescents not meeting WHO recommendations on Physical Activity for Health, i.e. doing less than 60 minutes of moderate- to vigorous-intensity physical activity daily. |
| Defin?cijas (pieejamas tikai ang?u valod?): | % Adolescents insufficiently active (age standardised estimate) |
Meitenes, 2010
| Vecums: | 11-17 |
| Atsauces: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A893?lang=en |
| Piez?mes (pieejamas tikai ang?u valod?): | % of school going adolescents not meeting WHO recommendations on Physical Activity for Health, i.e. doing less than 60 minutes of moderate- to vigorous-intensity physical activity daily. |
| Defin?cijas (pieejamas tikai ang?u valod?): | % Adolescents insufficiently active (age standardised estimate) |
G?z?to bezalkoholisko dz?rienu vid?jais pat?ri?a biežums dien?
B?rni, 2009-2015
| Apsekojuma veids: | M?r?t? v?rt?ba |
| Vecums: | 12-17 |
| Atsauces: | Beal et al. (2019). Global Patterns of Adolescent Fruit, Vegetable, Carbonated Soft Drink, and Fast-food consumption: A meta-analysis of global school-based student health surveys. Food and Nutrition Bulletin. https://doi.org/10.1177/0379572119848287 sourced from Food Systems Dashboard http://www.foodsystemsdashboard.org/food-system |
Estimated per capita fruit intake
Pieaugušie, 2017
| Vecums: | 25+ |
| Aptvert? teritorija: | Valsts |
| Atsauces: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
| Defin?cijas (pieejamas tikai ang?u valod?): | Estimated per capita fruit intake (g/day) |
Aug?u pat?ri?a, kas ir maz?ks par ikdienas pat?ri?u, ?patsvars
B?rni, 2014
| Apsekojuma veids: | Pašu zi?ojums |
| Vecums: | 12-17 |
| Aptvert? teritorija: | Valsts |
| Atsauces: | Global School-based Student Health Surveys. Beal et al (2019). Global Patterns of Adolescent Fruit, Vegetable, Carbonated Soft Drink, and Fast-food consumption: A meta-analysis of global school-based student health surveys. Food and Nutrition Bulletin. https://doi.org/10.1177/0379572119848287. Sourced from Food Systems Dashboard http://www.foodsystemsdashboard.org/food-system |
| Defin?cijas (pieejamas tikai ang?u valod?): | Prevalence of less-than-daily fruit consumption (% less-than-daily fruit consumption) |
D?rze?u pat?ri?a, kas ir maz?ks par ikdienas pat?ri?u, ?patsvars
B?rni, 2014
| Apsekojuma veids: | Pašu zi?ojums |
| Vecums: | 12-17 |
| Aptvert? teritorija: | Valsts |
| Atsauces: | Beal et al. (2019). Global Patterns of Adolescent Fruit, Vegetable, Carbonated Soft Drink, and Fast-food consumption: A meta-analysis of global school-based student health surveys. Food and Nutrition Bulletin. https://doi.org/10.1177/0379572119848287 sourced from Food Systems Dashboard http://www.foodsystemsdashboard.org/food-system |
| Defin?cijas (pieejamas tikai ang?u valod?): | Prevalence of less-than-daily vegetable consumption (% less-than-daily vegetable consumption) |
Vid?jais ?tr?s ?din?šanas iest?žu apmekl?šanas biežums ned???
B?rni, 2009-2015
| Vecums: | 12-17 |
| Atsauces: | Beal et al. (2019). Global Patterns of Adolescent Fruit, Vegetable, Carbonated Soft Drink, and Fast-food consumption: A meta-analysis of global school-based student health surveys. Food and Nutrition Bulletin. https://doi.org/10.1177/0379572119848287 sourced from Food Systems Dashboard http://www.foodsystemsdashboard.org/food-system |
Estimated per capita processed meat intake
Pieaugušie, 2017
| Vecums: | 25+ |
| Aptvert? teritorija: | Valsts |
| Atsauces: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
| Defin?cijas (pieejamas tikai ang?u valod?): | Estimated per capita processed meat intake (g per day) |
Estimated per capita whole grains intake
Pieaugušie, 2017
| Apsekojuma veids: | M?r?t? v?rt?ba |
| Vecums: | 25+ |
| Atsauces: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
| Defin?cijas (pieejamas tikai ang?u valod?): | Estimated per-capita whole grains intake (g/day) |
Gar?g? vesel?ba – depresijas trauc?jumi
Pieaugušie, 2021
| Vecums: | 20+ |
| Aptvert? teritorija: | Valsts |
| Atsauces: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25) |
| Defin?cijas (pieejamas tikai ang?u valod?): | Number living with depression per 100,000 population (adults 20+ years) |
V?rieši, 2021
| Vecums: | 20+ |
| Aptvert? teritorija: | Valsts |
| Atsauces: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25) |
| Defin?cijas (pieejamas tikai ang?u valod?): | Number living with depression per 100,000 population (adults 20+ years) |
Sievietes, 2021
| Vecums: | 20+ |
| Aptvert? teritorija: | Valsts |
| Atsauces: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25) |
| Defin?cijas (pieejamas tikai ang?u valod?): | Number living with depression per 100,000 population (adults 20+ years) |
Pieaugušie, 2015
| Atsauces: | Prevalence data from Global Burden of Disease study 2015 (http://ghdx.healthdata.org) published in: Depression and Other Common Mental Disorders: Global Health Estimates. Geneva:World Health Organization; 2017. Licence: CC BY-NC-SA 3.0 IGO. |
| Defin?cijas (pieejamas tikai ang?u valod?): | % of population with depression disorders |
B?rni, 2021
| Aptvert? teritorija: | Valsts |
| Atsauces: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25) |
| Defin?cijas (pieejamas tikai ang?u valod?): | Number living with depressive disorder per 100,000 population (Under 20 years of age) |
Z?ni, 2021
| Aptvert? teritorija: | Valsts |
| Atsauces: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25) |
| Defin?cijas (pieejamas tikai ang?u valod?): | Number living with depressive disorder per 100,000 population (Under 20 years of age) |
Meitenes, 2021
| Aptvert? teritorija: | Valsts |
| Atsauces: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25) |
| Defin?cijas (pieejamas tikai ang?u valod?): | Number living with depressive disorder per 100,000 population (Under 20 years of age) |
Gar?g? vesel?ba – trauksmes probl?mas
Pieaugušie, 2021
| Vecums: | 20+ |
| Atsauces: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25). |
| Defin?cijas (pieejamas tikai ang?u valod?): | Number living with anxiety per 100,000 population |
V?rieši, 2021
| Vecums: | 20+ |
| Atsauces: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25). |
| Defin?cijas (pieejamas tikai ang?u valod?): | Number living with anxiety per 100,000 population |
Sievietes, 2021
| Vecums: | 20+ |
| Atsauces: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25). |
| Defin?cijas (pieejamas tikai ang?u valod?): | Number living with anxiety per 100,000 population |
Pieaugušie, 2015
| Atsauces: | Prevalence data from Global Burden of Disease study 2015 (http://ghdx.healthdata.org) published in: Depression and Other Common Mental Disorders: Global Health Estimates. Geneva:World Health Organization; 2017. Licence: CC BY-NC-SA 3.0 IGO. |
| Defin?cijas (pieejamas tikai ang?u valod?): | % of population with anxiety disorders |
B?rni, 2021
| Atsauces: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25) |
Z?ni, 2021
| Atsauces: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25) |
Meitenes, 2021
| Atsauces: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25) |
% z?dai?i, kas pirmos 5 m?nešus baroti tikai ar kr?ti
0-5 years, 2010-2024
| Atsauces: | The 2022 Tanzania Demographic and Health Survey and Malaria Indicator Survey |
| Piez?mes (pieejamas tikai ang?u valod?): | Full details are available. Original citation United Nations Children’s Fund, Division of Data, Analysis, Planning and Monitoring (2023). Global UNICEF Global Databases: Infant and Young Child Feeding: Exclusive breastfeeding, New York, October 2023. |
Percent of population who cannot afford a healthy diet
Pieaugušie, 2024
| Aptvert? teritorija: | Valsts |
| Atsauces: | FAO. 2025. FAOSTAT: Cost and Affordability of a Healthy Diet (CoAHD). https://www.fao.org/faostat/en/#data/CAHD. Licence: CC-BY-4.0. [Last Accessed 15.10.25] |
| Piez?mes (pieejamas tikai ang?u valod?): | The percent of the population whose food budget is below the cost of a healthy diet. |
Pieaugušie, 2022
| Aptvert? teritorija: | Valsts |
| Atsauces: | The Food Systems Dashboard. The Global Alliance for Improved Nutrition (GAIN), The Columbia Climate School, and Cornell University College of Agriculture and Life Sciences. 2024. Geneva, Switzerland. https://www.foodsystemsdashboard.org. DOI: https://doi.org/10.36072/db. |
Bar?bas vada v?zis
V?rieši, 2022
| Vecums: | 20+ |
| Aptvert? teritorija: | Valsts |
| Atsauces: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Defin?cijas (pieejamas tikai ang?u valod?): | Indicence per 100,000 |
Sievietes, 2022
| Vecums: | 20+ |
| Aptvert? teritorija: | Valsts |
| Atsauces: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Defin?cijas (pieejamas tikai ang?u valod?): | Indicence per 100,000 |
V?rieši, 2020
| Vecums: | 20+ |
| Aptvert? teritorija: | Valsts |
| Atsauces: | Ferlay J, Ervik M, Lam F, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2020). Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.fr/today, accessed 10.01.2345 |
| Defin?cijas (pieejamas tikai ang?u valod?): | Age-standardized indicence rates per 100 000 |
Sievietes, 2020
| Vecums: | 20+ |
| Aptvert? teritorija: | Valsts |
| Atsauces: | Ferlay J, Ervik M, Lam F, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2020). Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.fr/today, accessed 10.01.2345 |
| Defin?cijas (pieejamas tikai ang?u valod?): | Age-standardized indicence rates per 100 000 |
Kr?ts dziedzera v?zis
Sievietes, 2022
| Aptvert? teritorija: | Valsts |
| Atsauces: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Defin?cijas (pieejamas tikai ang?u valod?): | Incidence per 100,000 |
Kolorekt?lais v?zis
V?rieši, 2022
| Vecums: | 20+ |
| Aptvert? teritorija: | Valsts |
| Atsauces: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Defin?cijas (pieejamas tikai ang?u valod?): | Incidence per 100,000 |
Sievietes, 2022
| Vecums: | 20+ |
| Aptvert? teritorija: | Valsts |
| Atsauces: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Defin?cijas (pieejamas tikai ang?u valod?): | Incidence per 100,000 |
V?rieši, 2020
| Vecums: | 20+ |
| Aptvert? teritorija: | Valsts |
| Atsauces: | Ferlay J, Ervik M, Lam F, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2020). Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.fr/today, accessed 10.01.2345 |
| Defin?cijas (pieejamas tikai ang?u valod?): | Age-standardized indicence rates per 100 000 |
Sievietes, 2020
| Vecums: | 20+ |
| Aptvert? teritorija: | Valsts |
| Atsauces: | Ferlay J, Ervik M, Lam F, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2020). Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.fr/today, accessed 10.01.2345 |
| Defin?cijas (pieejamas tikai ang?u valod?): | Age-standardized indicence rates per 100 000 |
Aizku??a dziedzera v?zis
V?rieši, 2022
| Vecums: | 20+ |
| Aptvert? teritorija: | Valsts |
| Atsauces: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Defin?cijas (pieejamas tikai ang?u valod?): | Incidence per 100,000 |
Sievietes, 2022
| Vecums: | 20+ |
| Aptvert? teritorija: | Valsts |
| Atsauces: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Defin?cijas (pieejamas tikai ang?u valod?): | Incidence per 100,000 |
V?rieši, 2020
| Vecums: | 20+ |
| Aptvert? teritorija: | Valsts |
| Atsauces: | Ferlay J, Ervik M, Lam F, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2020). Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.fr/today, accessed 10.01.2345 |
| Defin?cijas (pieejamas tikai ang?u valod?): | Age-standardized indicence rates per 100 000 |
Sievietes, 2020
| Vecums: | 20+ |
| Aptvert? teritorija: | Valsts |
| Atsauces: | Ferlay J, Ervik M, Lam F, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2020). Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.fr/today, accessed 10.01.2345 |
| Defin?cijas (pieejamas tikai ang?u valod?): | Age-standardized indicence rates per 100 000 |
Žultsp?š?a v?zis
V?rieši, 2022
| Vecums: | 20+ |
| Aptvert? teritorija: | Valsts |
| Atsauces: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Defin?cijas (pieejamas tikai ang?u valod?): | Indicence per 100,000 |
Sievietes, 2022
| Vecums: | 20+ |
| Aptvert? teritorija: | Valsts |
| Atsauces: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Defin?cijas (pieejamas tikai ang?u valod?): | Indicence per 100,000 |
V?rieši, 2020
| Vecums: | 20+ |
| Aptvert? teritorija: | Valsts |
| Atsauces: | Ferlay J, Ervik M, Lam F, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2020). Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.fr/today, accessed 10.01.2345 |
| Defin?cijas (pieejamas tikai ang?u valod?): | Age-standardized indicence rates per 100 000 |
Sievietes, 2020
| Vecums: | 20+ |
| Aptvert? teritorija: | Valsts |
| Atsauces: | Ferlay J, Ervik M, Lam F, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2020). Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.fr/today, accessed 10.01.2345 |
| Defin?cijas (pieejamas tikai ang?u valod?): | Age-standardized indicence rates per 100 000 |
Nieru v?zis
V?rieši, 2022
| Vecums: | 20+ |
| Aptvert? teritorija: | Valsts |
| Atsauces: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Defin?cijas (pieejamas tikai ang?u valod?): | Incidence per 100,000 |
Sievietes, 2022
| Vecums: | 20+ |
| Aptvert? teritorija: | Valsts |
| Atsauces: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Defin?cijas (pieejamas tikai ang?u valod?): | Incidence per 100,000 |
V?rieši, 2020
| Vecums: | 20+ |
| Aptvert? teritorija: | Valsts |
| Atsauces: | Ferlay J, Ervik M, Lam F, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2020). Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.fr/today, accessed 10.01.2345 |
| Defin?cijas (pieejamas tikai ang?u valod?): | Age-standardized indicence rates per 100 000 |
Sievietes, 2020
| Vecums: | 20+ |
| Aptvert? teritorija: | Valsts |
| Atsauces: | Ferlay J, Ervik M, Lam F, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2020). Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.fr/today, accessed 10.01.2345 |
| Defin?cijas (pieejamas tikai ang?u valod?): | Age-standardized indicence rates per 100 000 |
Dzemdes v?zis
Sievietes, 2022
| Vecums: | 20+ |
| Atsauces: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Defin?cijas (pieejamas tikai ang?u valod?): | Incidence per 100,000 |
Sievietes, 2020
| Vecums: | 20+ |
| Aptvert? teritorija: | Valsts |
| Atsauces: | Ferlay J, Ervik M, Lam F, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2020). Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.fr/today, accessed 10.01.2345 |
| Defin?cijas (pieejamas tikai ang?u valod?): | Age-standardized indicence rates per 100 000 |
Paaugstin?ts asinsspiediens
Pieaugušie, 2015
| Atsauces: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A875?lang=en |
| Defin?cijas (pieejamas tikai ang?u valod?): | Age Standardised estimated % Raised blood pressure 2015 (SBP>=140 OR DBP>=90). |
V?rieši, 2015
| Atsauces: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A875?lang=en |
| Defin?cijas (pieejamas tikai ang?u valod?): | Age Standardised estimated % Raised blood pressure 2015 (SBP>=140 OR DBP>=90). |
Sievietes, 2015
| Atsauces: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A875?lang=en |
| Defin?cijas (pieejamas tikai ang?u valod?): | Age Standardised estimated % Raised blood pressure 2015 (SBP>=140 OR DBP>=90). |
Paaugstin?ts holester?na l?menis
Pieaugušie, 2008
| Atsauces: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A885 |
| Defin?cijas (pieejamas tikai ang?u valod?): | % Raised total cholesterol (>= 5.0 mmol/L) (age-standardized estimate). |
V?rieši, 2008
| Atsauces: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A885 |
| Defin?cijas (pieejamas tikai ang?u valod?): | % Raised total cholesterol (>= 5.0 mmol/L) (age-standardized estimate). |
Sievietes, 2008
| Atsauces: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A885 |
| Defin?cijas (pieejamas tikai ang?u valod?): | % Raised total cholesterol (>= 5.0 mmol/L) (age-standardized estimate). |
Paaugstin?ts glikozes l?menis asin?s
V?rieši, 2014
| Atsauces: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A869?lang=en |
| Defin?cijas (pieejamas tikai ang?u valod?): | Age Standardised % raised fasting blood glucose (>= 7.0 mmol/L or on medication). |
Sievietes, 2014
| Atsauces: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A869?lang=en |
| Defin?cijas (pieejamas tikai ang?u valod?): | Age Standardised % raised fasting blood glucose (>= 7.0 mmol/L or on medication). |
Diab?ta izplat?ba
Pieaugušie, 2024
| Atsauces: | Reproduced with kind permission International Diabetes Federation. IDF Diabetes Atlas, 11th edn. Brussels, Belgium:International Diabetes Federation, 2025. http://www.diabetesatlas.org |
Pieaugušie, 2021
| Vecums: | 20-79 |
| Aptvert? teritorija: | Valsts |
| Atsauces: | Reproduced with kind permission International Diabetes Federation. IDF Diabetes Atlas, 10th edn. Brussels, Belgium:International Diabetes Federation, 2021. http://www.diabetesatlas.org |
| Defin?cijas (pieejamas tikai ang?u valod?): | Age-adjusted comparative prevalence of diabetes, % |
Pieaugušie, 2019
| Vecums: | 20-79 |
| Atsauces: | Reproduced with kind permission International Diabetes Federation. IDF Diabetes Atlas, 9th edn. Brussels,Belgium: 2019. Available at: https://www.diabetesatlas.org |
| Defin?cijas (pieejamas tikai ang?u valod?): | Diabetes age-adjusted comparative prevalence (%). |
Pieaugušie, 2017
| Atsauces: | Reproduced with kind permission of IDF, International Diabetes Federation. IDF Diabetes Atlas, 8th edition. Brussels, Belgium: International Diabetes Federation, 2017. http://www.diabetesatlas.org |
| Defin?cijas (pieejamas tikai ang?u valod?): | Diabetes age-adjusted comparative prevalence (%). |
Ovarian Cancer
Sievietes, 2022
| Vecums: | 20+ |
| Atsauces: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Defin?cijas (pieejamas tikai ang?u valod?): | Incidence per 100,000 |
Leukemia
V?rieši, 2022
| Vecums: | 20+ |
| Aptvert? teritorija: | Valsts |
| Atsauces: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Defin?cijas (pieejamas tikai ang?u valod?): | Incidence per 100,000 |
| Ja nav nor?d?ts cit?di, liekais svars attiecas uz ?MI no 25 kg l?dz 29,9 kg/m², aptaukošan?s attiecas uz ?MI, kas liel?ks par 30 kg/m². | |
Sievietes, 2022
| Vecums: | 20+ |
| Aptvert? teritorija: | Valsts |
| Atsauces: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Defin?cijas (pieejamas tikai ang?u valod?): | Incidence per 100,000 |
| Ja nav nor?d?ts cit?di, liekais svars attiecas uz ?MI no 25 kg l?dz 29,9 kg/m², aptaukošan?s attiecas uz ?MI, kas liel?ks par 30 kg/m². | |
Liver and intrahepatic bile duct Cancer
V?rieši, 2022
| Vecums: | 20+ |
| Aptvert? teritorija: | Valsts |
| Atsauces: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Defin?cijas (pieejamas tikai ang?u valod?): | Incidence per 100,000 |
Sievietes, 2022
| Vecums: | 20+ |
| Aptvert? teritorija: | Valsts |
| Atsauces: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Defin?cijas (pieejamas tikai ang?u valod?): | Incidence per 100,000 |
Multiple Myeloma
V?rieši, 2022
| Vecums: | 20+ |
| Aptvert? teritorija: | Valsts |
| Atsauces: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Defin?cijas (pieejamas tikai ang?u valod?): | Indicence per 100,000 |
| Ja nav nor?d?ts cit?di, liekais svars attiecas uz ?MI no 25 kg l?dz 29,9 kg/m², aptaukošan?s attiecas uz ?MI, kas liel?ks par 30 kg/m². | |
Sievietes, 2022
| Vecums: | 20+ |
| Aptvert? teritorija: | Valsts |
| Atsauces: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Defin?cijas (pieejamas tikai ang?u valod?): | Indicence per 100,000 |
| Ja nav nor?d?ts cit?di, liekais svars attiecas uz ?MI no 25 kg l?dz 29,9 kg/m², aptaukošan?s attiecas uz ?MI, kas liel?ks par 30 kg/m². | |
Non Hodgkin Lymphoma
V?rieši, 2022
| Vecums: | 20+ |
| Aptvert? teritorija: | Valsts |
| Atsauces: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Defin?cijas (pieejamas tikai ang?u valod?): | Incidence per 100,000 |
| Ja nav nor?d?ts cit?di, liekais svars attiecas uz ?MI no 25 kg l?dz 29,9 kg/m², aptaukošan?s attiecas uz ?MI, kas liel?ks par 30 kg/m². | |
Sievietes, 2022
| Vecums: | 20+ |
| Aptvert? teritorija: | Valsts |
| Atsauces: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Defin?cijas (pieejamas tikai ang?u valod?): | Incidence per 100,000 |
| Ja nav nor?d?ts cit?di, liekais svars attiecas uz ?MI no 25 kg l?dz 29,9 kg/m², aptaukošan?s attiecas uz ?MI, kas liel?ks par 30 kg/m². | |
Thyroid Cancer
V?rieši, 2022
| Vecums: | 20+ |
| Aptvert? teritorija: | Valsts |
| Atsauces: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Defin?cijas (pieejamas tikai ang?u valod?): | Incidence per 100,000 |
Sievietes, 2022
| Vecums: | 20+ |
| Aptvert? teritorija: | Valsts |
| Atsauces: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Defin?cijas (pieejamas tikai ang?u valod?): | Incidence per 100,000 |
Economic impact of overweight and obesity
Policies, Interventions and Actions
Contextual factors
Disclaimer: These contextual factors should be interpreted with care. Results are updated as regularly as possible and use very specific criteria. The criteria used and full definitions are available for download at the bottom of this page.
Tap on a tick to find out more about policies influencing this factor.
Labelling
| Is there mandatory nutrition labelling? | Present |
| Front-of-package labelling? | Unknown |
| Back-of-pack nutrition declaration? | Unknown |
| Color coding? | Absent |
| Warning label? | Absent |
Regulation and marketing
| Are there fiscal policies on unhealthy products? | Present |
| Tax on unhealthy foods? | Absent |
| Tax on unhealthy drinks? | Present |
| Are there fiscal policies on healthy products? | Absent |
| Subsidy on fruits? | Absent |
| Subsidy on vegetables? | Absent |
| Subsidy on other healthy products? | Absent |
| Mandatory limit or ban of trans fat (all settings)? | Incoming |
| Mandatory limit of trans fats in place (all settings)? | Incoming |
| Ban on trans-fats or phos in place (all settings)? | Absent |
| Are there any mandatory policies/marketing restrictions on the promotion of unhealthy food/drinks to children? | Absent |
| Mandatory restriction on broadcast media? | Absent |
| Mandatory restriction on non-broadcast media? | Absent |
| Voluntary policies/marketing restrictions on the promotion of unhealthy food/drinks to children? | Absent |
| Are there mandatory standards for food in schools? | Absent |
| Are there any mandatory nutrient limits in any manufactured food products? | Incoming |
| Nutrition standards for public sector procurement? | Absent |
Political will and support
| National obesity strategy or nutrition and physical activity national strategy? | Absent |
| National obesity strategy? | Absent |
| National childhood obesity strategy? | Absent |
| Comprehensive nutrition strategy? | Present |
| Comprehensive physical activity strategy? | Unknown |
| Evidence-based dietary guidelines and/or RDAs? | Absent |
| National target(s) on reducing obesity? | Present |
| Promotion of breastfeeding? | Present |
Monitoring and surveillance
| Monitoring of the prevalence and incidence for the main obesity-related NCDs and risk factors? | Present |
| Within 5 years? | Incoming |
Governance and resource
| Multi-sectoral national co-ordination mechanism for obesity or nutrition (including obesity)? | Present |
Key
Present
Present (voluntary)
Incoming
Absent
Unknown
Last updated August 5, 2024
Download contextual factors as a PDF Contextual factors definitions
