Tanzānija
- Pārskats
- Aptaukošanās izplatība
- Tendences, kas veidojas laika gaitā
- Iedzīvotāju sadalījums
- Ietekmējošie faktori
- Blakusslimības
- Ekonomiskā ietekme
- Politikas (pieejamas tikai angļu valodā)
- Contextual factors
Notiek datu ielāde – lūdzu, uzgaidiet
Valstī pastāvošie ar aptaukošanos saistītie 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.Aptaukošanās risks bērnībā *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).
Aptaukošanās izplatība
Tendences, kas veidojas laika gaitā
Lejupielādēt ziņojumu kartīti
Ziņojuma kartītē apkopotas visas jaunākās grafikas izvēlētajai valstij. Ja vēlaties izveidot pielāgotu pārskatu, pamatojoties uz atlasītajām grafikām, vienkārši pieskarieties pogai "Pievienot pielāgotu PDF" zem grafikas, kuru vēlaties izmantot.Iedzīvotāju sadalījums
Ietekmējošie faktori
Nepietiekamas aktivitātes
Bezalkoholisko dzērienu patēriņš
Augļu patēriņš
Dārzeņu patēriņš
Ātrās ēdināšanas produktu patēriņš
Pārstrādātas gaļas patēriņš
Graudaugu patēriņš
Depresija
Trauksme
Aptaukošanās cēloņi »
Like all chronic diseases, the root causes/drivers of obesity are complex. Select here to view 'other' root causes/drivers.Barošana ar krūti
Lejupielādēt ziņojumu kartīti
Blakusslimības
Ekonomiskā ietekme
Politikas (pieejamas tikai angļu valodā)
Contextual factors
Aptaukošan?s izplat?ba
Pieaugušie, 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: | 11634 |
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. |
Pieaugušie, 2012
Apsekojuma veids: | M?r?t? v?rt?ba |
Vecums: | 25-64 |
Izlases lielums: | 5680 |
Aptvert? 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 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. |
Pieaugušie, 2011
Apsekojuma veids: | M?r?t? v?rt?ba |
Vecums: | 25-64 |
Izlases lielums: | 2520 |
Aptvert? teritorija: | Regional (Zanzibar) |
Atsauces: | STEPS |
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, 2010
Apsekojuma veids: | M?r?t? v?rt?ba |
Vecums: | 15-49 |
Izlases lielums: | 8789 |
Aptvert? 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. |
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. |
Pieaugušie, 1998-1999
Apsekojuma veids: | M?r?t? v?rt?ba |
Vecums: | 25-64 |
Izlases lielums: | 9313 |
Aptvert? teritorija: | Administrat?vi teritori?lais iedal?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 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, 1991-1992
Apsekojuma veids: | M?r?t? v?rt?ba |
Vecums: | 15-49 |
Izlases lielums: | 4597 |
Aptvert? teritorija: | Valsts |
Atsauces: | Martorell R, Khan LK, Hughes ML, Grummer Strawn LM. Obesity in women from developing countries. EJCN (2000) 54;247-252 |
Piez?mes (pieejamas tikai ang?u valod?): | 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 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. |
B?rni, 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. |
Cutoffs: | WHO |
Meitenes, 2015-2016
Apsekojuma veids: | M?r?t? v?rt?ba |
Vecums: | 15-19 |
Izlases lielums: | 2157 |
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 |
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. |
Cutoffs: | WHO |
Infants, 2022
Vecums: | 0-5 |
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 |
Infants, 2019-2020
Vecums: | 0-5 |
Izlases lielums: | 5223133 |
Atsauces: | LSMS: Tanzania National Panel Survey 2019-2020 - Extended Panel with Sex Disaggregated Data |
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 |
Infants, 2018
Vecums: | 0-5 |
Atsauces: | SMART: Tanzania National Nutrition Survey using SMART Methodology (TNNS) 2018. Dar es Salaam, Tanzania: MoHCDGEC, MoH, TFNC, NBS, OCGS, and UNICEF. |
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 |
Infants, 2015-2016
Vecums: | 0-5 |
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 |
Infants, 2014
Vecums: | 0-5 |
Atsauces: | SMART: Tanzania national nutrition survey 2014: Final report. United Republic of Tanzania, December 2014. |
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 |
Infants, 2012-2013
Vecums: | 0-5 |
Izlases lielums: | 6565673 |
Atsauces: | LSMS: Tanzania National Panel Survey Report (NPS) - Wave 3, 2012 - 2013. Dar es Salaam, Tanzania: NBS, 2014 |
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 |
Infants, 2010-2011
Vecums: | 0-5 |
Izlases lielums: | 6801409 |
Atsauces: | LSMS: Tanzania National Panel Survey Report (NPS) - Wave 2, 2010 - 2011. Dar es Salaam, Tanzania: NBS, 2012. |
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 |
Infants, 2009-2010
Vecums: | 0-5 |
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 |
Infants, 2008-2009
Vecums: | 0-5 |
Izlases lielums: | 5728513 |
Atsauces: | LSMS: Tanzania National Panel Survey Report (NPS) - Wave 2, 2008 - 2009. Dar es Salaam, Tanzania: NBS |
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 |
Infants, 2004-2005
Vecums: | 0-5 |
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 |
Infants, 1999
Vecums: | 0-5 |
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 |
Infants, 1996
Vecums: | 0-5 |
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 |
Infants, 1991-1992
Vecums: | 0-5 |
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 |
% Adults living with obesity in Tanzania 1991-2015
Apsekojuma veids: | M?r?t? v?rt?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. 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) |
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. | |
Šo datu apkopošanai, iesp?jams, ir izmantotas daž?das metodikas, t?p?c daž?du aptauju dati var neb?t prec?zi sal?dzin?mi. L?dzu, p?rbaudiet izmantoto metodiku ori?in?los datu avotos |
% Adults living with overweight or obesity in Tanzania 1991-2015
Apsekojuma veids: | M?r?t? v?rt?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. 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) |
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. | |
Šo datu apkopošanai, iesp?jams, ir izmantotas daž?das metodikas, t?p?c daž?du aptauju dati var neb?t prec?zi sal?dzin?mi. L?dzu, p?rbaudiet izmantoto metodiku ori?in?los 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 |
Infants, 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 |
Infants, 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 |
Infants, 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 |
Infants, 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 |
Infants, 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 |
Infants, 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/aptaukošan?s p?c vecuma
Pieaugušie, 2022
Apsekojuma veids: | M?r?t? v?rt?ba |
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 |
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. |
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. |
B?rni, 2019
Apsekojuma veids: | M?r?t? v?rt?ba |
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. |
Cutoffs: | WHO |
B?rni, 2012
Apsekojuma veids: | M?r?t? v?rt?ba |
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. |
Cutoffs: | WHO |
Liekais svars/aptaukošan?s p?c re?iona
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. |
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. |
Cutoffs: | WHO |
Meitenes, 2015-2016
Apsekojuma veids: | M?r?t? v?rt?ba |
Vecums: | 15-19 |
Izlases lielums: | 2157 |
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 |
Infants, 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 |
Infants, 2019-2020
Izlases lielums: | 5223133 |
Atsauces: | LSMS: Tanzania National Panel Survey 2019-2020 - Extended Panel with Sex Disaggregated Data |
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 |
Infants, 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 |
Infants, 2012-2013
Izlases lielums: | 6565673 |
Atsauces: | LSMS: Tanzania National Panel Survey Report (NPS) - Wave 3, 2012 - 2013. Dar es Salaam, Tanzania: NBS, 2014 |
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 |
Infants, 2010-2011
Izlases lielums: | 6801409 |
Atsauces: | LSMS: Tanzania National Panel Survey Report (NPS) - Wave 2, 2010 - 2011. Dar es Salaam, Tanzania: NBS, 2012. |
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 |
Infants, 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 |
Infants, 2008-2009
Izlases lielums: | 5728513 |
Atsauces: | LSMS: Tanzania National Panel Survey Report (NPS) - Wave 2, 2008 - 2009. Dar es Salaam, Tanzania: NBS |
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 |
Infants, 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 |
Infants, 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 |
Infants, 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 |
Infants, 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/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 |
Infants, 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 |
Infants, 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 |
Infants, 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 |
Infants, 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 |
Infants, 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 |
Infants, 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 |
Nepietiekamas fizisk?s aktivit?tes
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
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 fruit intake (g/day) |
Aug?u pat?ri?a, kas ir maz?ks par ikdienas pat?ri?u, ?patsvars
B?rni, 2009-2015
Apsekojuma veids: | M?r?t? v?rt?ba |
Vecums: | 12-17 |
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, 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 |
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 |
Aptuvenais p?rstr?d?tas ga?as pat?ri?š uz vienu iedz?vot?ju
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 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, 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 |
Gar?g? vesel?ba – trauksmes probl?mas
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 |
% z?dai?i, kas pirmos 5 m?nešus baroti tikai ar kr?ti
B?rni, 2005-2020
Aptvert? teritorija: | Valsts |
Atsauces: | Tanzania National Nutrition Survey using SMART Methodology (TNNS) 2018. Dar es Salaam, Tanzania: MoHCDGEC, MoH, TFNC, NBS, OCGS, and UNICEF. |
Piez?mes (pieejamas tikai ang?u valod?): | See UNICEF website for further survey information. Available at : https://data.unicef.org/resources/dataset/infant-young-child-feeding/ (last accessed 28.9.21) Citation: United Nations Children’s Fund, Division of Data, Analysis, Planning and Monitoring (2021). Global UNICEF Global Databases: Infant and Young Child Feeding: Exclusive breastfeeding, New York, September 2021. |
Defin?cijas (pieejamas tikai ang?u valod?): | % exclusively breastfed 0-5 months |
Bar?bas vada v?zis
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, 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 |
Kolorekt?lais v?zis
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, 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, 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, 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, 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, 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 (%). |
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? | Absent |
Tax on unhealthy foods? | Absent |
Tax on unhealthy drinks? | Absent |
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 |
Guidelines/policy on obesity treatment? | Absent |
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 September 13, 2022
Download contextual factors as a PDF Contextual factors definitions