• 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

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Contextual factors

Aptaukošanās izplatība

Pieaugušie, 2022

Apsekojuma veids:Mērītā vērtība
Vecums:20-49
Izlases lielums:9608
Aptvertā 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 norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m².

Sievietes, 2015-2016

Apsekojuma veids:Mērītā vērtība
Vecums:15-49
Izlases lielums:11634
Aptvertā 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)
Piezīmes (pieejamas tikai angļu valodā):Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59.
Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m².

Pieaugušie, 2012

Apsekojuma veids:Mērītā vērtība
Vecums:25-64
Izlases lielums:5680
Aptvertā 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 norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m².

Pieaugušie, 2011

Apsekojuma veids:Mērītā vērtība
Vecums:25-64
Izlases lielums:2520
Aptvertā teritorija:Regional (Zanzibar)
Atsauces:STEPS
Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m².

Sievietes, 2010

Apsekojuma veids:Mērītā vērtība
Vecums:15-49
Izlases lielums:8789
Aptvertā 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.
Piezīmes (pieejamas tikai angļu valodā):Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59.
Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m².

Pieaugušie, 1998-1999

Apsekojuma veids:Mērītā vērtība
Vecums:25-64
Izlases lielums:9313
Aptvertā teritorija:Administratīvi teritoriālais iedalījums
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 norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m².

Sievietes, 1991-1992

Apsekojuma veids:Mērītā vērtība
Vecums:15-49
Izlases lielums:4597
Aptvertā teritorija:Valsts
Atsauces:Martorell R, Khan LK, Hughes ML, Grummer Strawn LM. Obesity in women from developing countries. EJCN (2000) 54;247-252
Piezīmes (pieejamas tikai angļu valodā):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 norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m².

Bērni, 2022

Apsekojuma veids:Mērītā vērtība
Vecums:15-19
Izlases lielums:2863
Aptvertā 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

Bērni, 2019

Apsekojuma veids:Mērītā vērtība
Vecums:9-11
Izlases lielums:1170
Aptvertā teritorija:Reģioni
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:Mērītā vērtība
Vecums:15-19
Izlases lielums:2157
Aptvertā 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
Definīcijas (pieejamas tikai angļu valodā):BMI for age: between +1 SD and +2 SD is overweight and greater than +2 SD is obesity
Cutoffs:WHO 2007

Bērni, 2012

Apsekojuma veids:Mērītā vērtība
Vecums:8-13
Izlases lielums:1781
Aptvertā teritorija:Reģioni
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

Vecums:0-5
Izlases lielums:5485
Atsauces:DHS: The 2022 Tanzania Demographic and Health Survey and Malaria Indicator Survey
Piezīmes (pieejamas tikai angļu valodā):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.
Definīcijas (pieejamas tikai angļu valodā):=>+2SD

0-5 years, 2019-2020

Vecums:0-5
Izlases lielums:5223133
Atsauces:LSMS: Tanzania National Panel Survey 2019-2020 - Extended Panel with Sex Disaggregated Data
Piezīmes (pieejamas tikai angļu valodā):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.
Definīcijas (pieejamas tikai angļu valodā):=>+2SD

0-5 years, 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.
Piezīmes (pieejamas tikai angļu valodā):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.
Definīcijas (pieejamas tikai angļu valodā):=>+2SD

0-5 years, 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
Piezīmes (pieejamas tikai angļu valodā):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.
Definīcijas (pieejamas tikai angļu valodā):=>+2SD

0-5 years, 2014

Vecums:0-5
Atsauces:SMART: Tanzania national nutrition survey 2014: Final report. United Republic of Tanzania, December 2014.
Piezīmes (pieejamas tikai angļu valodā):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.
Definīcijas (pieejamas tikai angļu valodā):=>+2SD

0-5 years, 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
Piezīmes (pieejamas tikai angļu valodā):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.
Definīcijas (pieejamas tikai angļu valodā):=>+2SD

0-5 years, 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.
Piezīmes (pieejamas tikai angļu valodā):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.
Definīcijas (pieejamas tikai angļu valodā):=>+2SD

0-5 years, 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
Piezīmes (pieejamas tikai angļu valodā):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.
Definīcijas (pieejamas tikai angļu valodā):=>+2SD

0-5 years, 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
Piezīmes (pieejamas tikai angļu valodā):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.
Definīcijas (pieejamas tikai angļu valodā):=>+2SD

0-5 years, 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
Piezīmes (pieejamas tikai angļu valodā):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.
Definīcijas (pieejamas tikai angļu valodā):=>+2SD

0-5 years, 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
Piezīmes (pieejamas tikai angļu valodā):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.
Definīcijas (pieejamas tikai angļu valodā):=>+2SD

0-5 years, 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
Piezīmes (pieejamas tikai angļu valodā):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.
Definīcijas (pieejamas tikai angļu valodā):=>+2SD

0-5 years, 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
Piezīmes (pieejamas tikai angļu valodā):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.
Definīcijas (pieejamas tikai angļu valodā):=>+2SD

Liekais svars/aptaukošanās pēc izglītības

Vīrieši, 2022

Apsekojuma veids:Mērītā vērtība
Vecums:20-49
Izlases lielums:9608
Aptvertā 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 norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m².

Sievietes, 2022

Apsekojuma veids:Mērītā vērtība
Vecums:20-49
Izlases lielums:9608
Aptvertā 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 norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m².

Sievietes, 2015-2016

Apsekojuma veids:Mērītā vērtība
Vecums:15-49
Izlases lielums:11635
Aptvertā 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)
Piezīmes (pieejamas tikai angļu valodā):Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59.
Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m².

Zēni, 2022

Apsekojuma veids:Mērītā vērtība
Vecums:15-19
Izlases lielums:2863
Aptvertā 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:Mērītā vērtība
Vecums:15-19
Izlases lielums:2863
Aptvertā 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:Mērītā vērtība
Vecums:15-19
Izlases lielums:2158
Aptvertā 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
Definīcijas (pieejamas tikai angļu valodā):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
Piezīmes (pieejamas tikai angļu valodā):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.
Definīcijas (pieejamas tikai angļu valodā):=>+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
Piezīmes (pieejamas tikai angļu valodā):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.
Definīcijas (pieejamas tikai angļu valodā):=>+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
Piezīmes (pieejamas tikai angļu valodā):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.
Definīcijas (pieejamas tikai angļu valodā):=>+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
Piezīmes (pieejamas tikai angļu valodā):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.
Definīcijas (pieejamas tikai angļu valodā):=>+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
Piezīmes (pieejamas tikai angļu valodā):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.
Definīcijas (pieejamas tikai angļu valodā):=>+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
Piezīmes (pieejamas tikai angļu valodā):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.
Definīcijas (pieejamas tikai angļu valodā):=>+2SD

Liekais svars/aptaukošanās pēc vecuma

Pieaugušie, 2022

Apsekojuma veids:Mērītā vērtība
Izlases lielums:9608
Aptvertā 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 norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m².

Sievietes, 2015-2016

Apsekojuma veids:Mērītā vērtība
Izlases lielums:11635
Aptvertā 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.
Piezīmes (pieejamas tikai angļu valodā):Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59.
Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m².

Bērni, 2019

Apsekojuma veids:Mērītā vērtība
Izlases lielums:1170
Aptvertā teritorija:Reģioni
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

Bērni, 2012

Apsekojuma veids:Mērītā vērtība
Izlases lielums:1781
Aptvertā teritorija:Reģioni
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/aptaukošanās pēc reģiona

Vīrieši, 2022

Apsekojuma veids:Mērītā vērtība
Vecums:20-49
Izlases lielums:9608
Aptvertā 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 norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m².

Sievietes, 2022

Apsekojuma veids:Mērītā vērtība
Vecums:20-49
Izlases lielums:9608
Aptvertā 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 norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m².

Sievietes, 2015-2016

Apsekojuma veids:Mērītā vērtība
Vecums:15-49
Izlases lielums:11635
Aptvertā 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.
Piezīmes (pieejamas tikai angļu valodā):Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59.
Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m².

Zēni, 2022

Apsekojuma veids:Mērītā vērtība
Vecums:15-19
Izlases lielums:2863
Aptvertā 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:Mērītā vērtība
Vecums:15-19
Izlases lielums:2863
Aptvertā 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

Bērni, 2019

Apsekojuma veids:Mērītā vērtība
Vecums:9-11
Izlases lielums:1170
Aptvertā teritorija:Reģioni
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:Mērītā vērtība
Vecums:15-19
Izlases lielums:2157
Aptvertā 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
Definīcijas (pieejamas tikai angļu valodā):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
Piezīmes (pieejamas tikai angļu valodā):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.
Definīcijas (pieejamas tikai angļu valodā):=>+2SD

0-5 years, 2019-2020

Izlases lielums:5223133
Atsauces:LSMS: Tanzania National Panel Survey 2019-2020 - Extended Panel with Sex Disaggregated Data
Piezīmes (pieejamas tikai angļu valodā):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.
Definīcijas (pieejamas tikai angļu valodā):=>+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
Piezīmes (pieejamas tikai angļu valodā):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.
Definīcijas (pieejamas tikai angļu valodā):=>+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
Piezīmes (pieejamas tikai angļu valodā):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.
Definīcijas (pieejamas tikai angļu valodā):=>+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.
Piezīmes (pieejamas tikai angļu valodā):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.
Definīcijas (pieejamas tikai angļu valodā):=>+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
Piezīmes (pieejamas tikai angļu valodā):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.
Definīcijas (pieejamas tikai angļu valodā):=>+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
Piezīmes (pieejamas tikai angļu valodā):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.
Definīcijas (pieejamas tikai angļu valodā):=>+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
Piezīmes (pieejamas tikai angļu valodā):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.
Definīcijas (pieejamas tikai angļu valodā):=>+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
Piezīmes (pieejamas tikai angļu valodā):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.
Definīcijas (pieejamas tikai angļu valodā):=>+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
Piezīmes (pieejamas tikai angļu valodā):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.
Definīcijas (pieejamas tikai angļu valodā):=>+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
Piezīmes (pieejamas tikai angļu valodā):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.
Definīcijas (pieejamas tikai angļu valodā):=>+2SD

Liekais svars/aptaukošanās pēc sociālekonomiskās grupas

Vīrieši, 2022

Apsekojuma veids:Mērītā vērtība
Vecums:20-49
Izlases lielums:9608
Aptvertā 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 norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m².

Sievietes, 2022

Apsekojuma veids:Mērītā vērtība
Vecums:20-49
Izlases lielums:9608
Aptvertā 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 norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m².

Sievietes, 2015-2016

Apsekojuma veids:Mērītā vērtība
Vecums:15-49
Izlases lielums:11635
Aptvertā 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)
Piezīmes (pieejamas tikai angļu valodā):Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59.
Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m².

Zēni, 2022

Apsekojuma veids:Mērītā vērtība
Vecums:15-19
Izlases lielums:2863
Aptvertā 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:Mērītā vērtība
Vecums:15-19
Izlases lielums:2863
Aptvertā 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

Bērni, 2019

Apsekojuma veids:Mērītā vērtība
Vecums:9-11
Izlases lielums:1170
Aptvertā teritorija:Reģioni
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.
Piezīmes (pieejamas tikai angļu valodā):Type of School has been used to classify wealth. Privately educated are classified as Richer, Governement educated Poorer
Cutoffs:WHO

Bērni, 2012

Apsekojuma veids:Mērītā vērtība
Vecums:8-13
Izlases lielums:1781
Aptvertā teritorija:Reģioni
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.
Piezīmes (pieejamas tikai angļu valodā):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
Piezīmes (pieejamas tikai angļu valodā):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.
Definīcijas (pieejamas tikai angļu valodā):=>+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
Piezīmes (pieejamas tikai angļu valodā):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.
Definīcijas (pieejamas tikai angļu valodā):=>+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
Piezīmes (pieejamas tikai angļu valodā):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.
Definīcijas (pieejamas tikai angļu valodā):=>+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
Piezīmes (pieejamas tikai angļu valodā):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.
Definīcijas (pieejamas tikai angļu valodā):=>+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
Piezīmes (pieejamas tikai angļu valodā):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.
Definīcijas (pieejamas tikai angļu valodā):=>+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
Piezīmes (pieejamas tikai angļu valodā):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.
Definīcijas (pieejamas tikai angļu valodā):=>+2SD

Double burden of underweight & overweight

Pieaugušie, 2022

Apsekojuma veids:Mērītā vērtība
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.
Piezīmes (pieejamas tikai angļu valodā):Age Standardised estimates
Definīcijas (pieejamas tikai angļu valodā):Combined prevalence of BMI<18.5 kg/m² and BMI>=30 kg/m² (double burden of underweight and obesity)

Bērni, 2022

Apsekojuma veids:Mērītā vērtība
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.
Piezīmes (pieejamas tikai angļu valodā):Age standardised estimates
Definīcijas (pieejamas tikai angļu valodā):Combined prevalence of BMI < -2SD and BMI > 2SD (double burden of thinness and obesity)
Cutoffs:BMI < -2SD and BMI > 2SD

0-5 years, 2019-2020

Apsekojuma veids:Mērītā vērtība
Vecums:0-5
Atsauces:UNICEF data available at https://data.unicef.org/topic/nutrition/malnutrition/(last accessed 12.03.25)
Piezīmes (pieejamas tikai angļu valodā):Children under 5 falling below -2 standard deviations from the median height for age and falling at or above +2 standard deviations from the median weight-for-height of the reference population

Nepietiekamas fiziskās aktivitātes

Pieaugušie, 2022

Apsekojuma veids:Pašu ziņojums
Vecums:18+
Aptvertā 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)-(-)
Definīcijas (pieejamas tikai angļu valodā):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.

Vīrieši, 2022

Apsekojuma veids:Pašu ziņojums
Vecums:18+
Aptvertā 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)-(-)
Definīcijas (pieejamas tikai angļu valodā):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 ziņojums
Vecums:18+
Aptvertā 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)-(-)
Definīcijas (pieejamas tikai angļu valodā):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

Vīrieši, 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

Bērni, 2016

Apsekojuma veids:Pašu ziņojums
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)
Piezīmes (pieejamas tikai angļu valodā):% 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.
Definīcijas (pieejamas tikai angļu valodā):% Adolescents insufficiently active (age standardised estimate)

Zēni, 2016

Apsekojuma veids:Pašu ziņojums
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)
Piezīmes (pieejamas tikai angļu valodā):% 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.
Definīcijas (pieejamas tikai angļu valodā):% Adolescents insufficiently active (age standardised estimate)

Meitenes, 2016

Apsekojuma veids:Pašu ziņojums
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)
Piezīmes (pieejamas tikai angļu valodā):% 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.
Definīcijas (pieejamas tikai angļu valodā):% Adolescents insufficiently active (age standardised estimate)

Bērni, 2010

Vecums:11-17
Atsauces:Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A893?lang=en
Piezīmes (pieejamas tikai angļu valodā):% 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.
Definīcijas (pieejamas tikai angļu valodā):% Adolescents insufficiently active (age standardised estimate)

Zēni, 2010

Vecums:11-17
Atsauces:Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A893?lang=en
Piezīmes (pieejamas tikai angļu valodā):% 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.
Definīcijas (pieejamas tikai angļu valodā):% 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
Piezīmes (pieejamas tikai angļu valodā):% 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.
Definīcijas (pieejamas tikai angļu valodā):% Adolescents insufficiently active (age standardised estimate)

Gāzēto bezalkoholisko dzērienu vidējais patēriņa biežums dienā

Bērni, 2009-2015

Apsekojuma veids:Mērītā vērtība
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:Mērītā vērtība
Vecums:25+
Atsauces:Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/
Definīcijas (pieejamas tikai angļu valodā):Estimated per-capita fruit intake (g/day)

Augļu patēriņa, kas ir mazāks par ikdienas patēriņu, īpatsvars

Bērni, 2009-2015

Apsekojuma veids:Mērītā vērtība
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
Definīcijas (pieejamas tikai angļu valodā):Prevalence of less-than-daily fruit consumption (% less-than-daily fruit consumption)

Dārzeņu patēriņa, kas ir mazāks par ikdienas patēriņu, īpatsvars

Bērni, 2009-2015

Apsekojuma veids:Mērītā vērtība
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
Definīcijas (pieejamas tikai angļu valodā):Prevalence of less-than-daily vegetable consumption (% less-than-daily vegetable consumption)

Vidējais ātrās ēdināšanas iestāžu apmeklēšanas biežums nedēļā

Bērni, 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 pārstrādātas gaļas patēriņš uz vienu iedzīvotāju

Pieaugušie, 2017

Apsekojuma veids:Mērītā vērtība
Vecums:25+
Atsauces:Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/
Definīcijas (pieejamas tikai angļu valodā):Estimated per-capita processed meat intake (g per day)

Estimated per capita whole grains intake

Pieaugušie, 2017

Apsekojuma veids:Mērītā vērtība
Vecums:25+
Atsauces:Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/
Definīcijas (pieejamas tikai angļu valodā):Estimated per-capita whole grains intake (g/day)

Garīgā veselība – depresijas traucējumi

Pieaugušie, 2021

Vecums:20+
Aptvertā 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)
Definīcijas (pieejamas tikai angļu valodā):Number living with depression per 100,000 population (adults 20+ years)

Vīrieši, 2021

Vecums:20+
Aptvertā 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)
Definīcijas (pieejamas tikai angļu valodā):Number living with depression per 100,000 population (adults 20+ years)

Sievietes, 2021

Vecums:20+
Aptvertā 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)
Definīcijas (pieejamas tikai angļu valodā):Number living with depression per 100,000 population (adults 20+ years)

Pieaugušie, 2015-2021

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.
Definīcijas (pieejamas tikai angļu valodā):% of population with depression disorders

Pieaugušie, 2015-2021

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.
Definīcijas (pieejamas tikai angļu valodā):% of population with depression disorders

Vīrieši, 2015-2021

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.
Definīcijas (pieejamas tikai angļu valodā):% of population with depression disorders

Sievietes, 2015-2021

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.
Definīcijas (pieejamas tikai angļu valodā):% of population with depression disorders

Bērni, 2021

Aptvertā 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)
Definīcijas (pieejamas tikai angļu valodā):Number living with depressive disorder per 100,000 population (Under 20 years of age)

Zēni, 2021

Aptvertā 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)
Definīcijas (pieejamas tikai angļu valodā):Number living with depressive disorder per 100,000 population (Under 20 years of age)

Meitenes, 2021

Aptvertā 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)
Definīcijas (pieejamas tikai angļu valodā):Number living with depressive disorder per 100,000 population (Under 20 years of age)

Garīgā veselība – trauksmes problēmas

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).
Definīcijas (pieejamas tikai angļu valodā):Number living with anxiety per 100,000 population

Vīrieši, 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).
Definīcijas (pieejamas tikai angļu valodā):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).
Definīcijas (pieejamas tikai angļu valodā):Number living with anxiety per 100,000 population

Pieaugušie, 2015-2021

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.
Definīcijas (pieejamas tikai angļu valodā):% of population with anxiety disorders

Pieaugušie, 2015-2021

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.
Definīcijas (pieejamas tikai angļu valodā):% of population with anxiety disorders

Vīrieši, 2015-2021

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.
Definīcijas (pieejamas tikai angļu valodā):% of population with anxiety disorders

Sievietes, 2015-2021

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.
Definīcijas (pieejamas tikai angļu valodā):% of population with anxiety disorders

Bērni, 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)

Zēni, 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)

% zīdaiņi, kas pirmos 5 mēnešus baroti tikai ar krūti

0-5 years, 2010-2024

Atsauces:The 2022 Tanzania Demographic and Health Survey and Malaria Indicator Survey
Piezīmes (pieejamas tikai angļu valodā):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, 2022

Aptvertā 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.

Barības vada vēzis

Vīrieši, 2022

Vecums:20+
Aptvertā 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]
Definīcijas (pieejamas tikai angļu valodā):Indicence per 100,000

Sievietes, 2022

Vecums:20+
Aptvertā 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]
Definīcijas (pieejamas tikai angļu valodā):Indicence per 100,000

Vīrieši, 2020-2022

Vecums:20+
Aptvertā 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
Definīcijas (pieejamas tikai angļu valodā):Age-standardized indicence rates per 100 000

Sievietes, 2020-2022

Vecums:20+
Aptvertā 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
Definīcijas (pieejamas tikai angļu valodā):Age-standardized indicence rates per 100 000

Krūts dziedzera vēzis

Sievietes, 2022

Aptvertā 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]
Definīcijas (pieejamas tikai angļu valodā):Incidence per 100,000

Kolorektālais vēzis

Vīrieši, 2022

Vecums:20+
Aptvertā 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]
Definīcijas (pieejamas tikai angļu valodā):Incidence per 100,000

Sievietes, 2022

Vecums:20+
Aptvertā 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]
Definīcijas (pieejamas tikai angļu valodā):Incidence per 100,000

Vīrieši, 2020-2022

Vecums:20+
Aptvertā 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
Definīcijas (pieejamas tikai angļu valodā):Age-standardized indicence rates per 100 000

Sievietes, 2020-2022

Vecums:20+
Aptvertā 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
Definīcijas (pieejamas tikai angļu valodā):Age-standardized indicence rates per 100 000

Aizkuņģa dziedzera vēzis

Vīrieši, 2022

Vecums:20+
Aptvertā 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]
Definīcijas (pieejamas tikai angļu valodā):Incidence per 100,000

Sievietes, 2022

Vecums:20+
Aptvertā 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]
Definīcijas (pieejamas tikai angļu valodā):Incidence per 100,000

Vīrieši, 2020-2022

Vecums:20+
Aptvertā 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
Definīcijas (pieejamas tikai angļu valodā):Age-standardized indicence rates per 100 000

Sievietes, 2020-2022

Vecums:20+
Aptvertā 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
Definīcijas (pieejamas tikai angļu valodā):Age-standardized indicence rates per 100 000

Žultspūšļa vēzis

Vīrieši, 2022

Vecums:20+
Aptvertā 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]
Definīcijas (pieejamas tikai angļu valodā):Indicence per 100,000

Sievietes, 2022

Vecums:20+
Aptvertā 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]
Definīcijas (pieejamas tikai angļu valodā):Indicence per 100,000

Vīrieši, 2020-2022

Vecums:20+
Aptvertā 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
Definīcijas (pieejamas tikai angļu valodā):Age-standardized indicence rates per 100 000

Sievietes, 2020-2022

Vecums:20+
Aptvertā 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
Definīcijas (pieejamas tikai angļu valodā):Age-standardized indicence rates per 100 000

Nieru vēzis

Vīrieši, 2022

Vecums:20+
Aptvertā 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]
Definīcijas (pieejamas tikai angļu valodā):Incidence per 100,000

Sievietes, 2022

Vecums:20+
Aptvertā 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]
Definīcijas (pieejamas tikai angļu valodā):Incidence per 100,000

Vīrieši, 2020-2022

Vecums:20+
Aptvertā 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
Definīcijas (pieejamas tikai angļu valodā):Age-standardized indicence rates per 100 000

Sievietes, 2020-2022

Vecums:20+
Aptvertā 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
Definīcijas (pieejamas tikai angļu valodā):Age-standardized indicence rates per 100 000

Dzemdes vēzis

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]
Definīcijas (pieejamas tikai angļu valodā):Incidence per 100,000

Sievietes, 2020-2022

Vecums:20+
Aptvertā 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
Definīcijas (pieejamas tikai angļu valodā):Age-standardized indicence rates per 100 000

Paaugstināts asinsspiediens

Pieaugušie, 2015

Atsauces:Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A875?lang=en
Definīcijas (pieejamas tikai angļu valodā):Age Standardised estimated % Raised blood pressure 2015 (SBP>=140 OR DBP>=90).

Vīrieši, 2015

Atsauces:Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A875?lang=en
Definīcijas (pieejamas tikai angļu valodā):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
Definīcijas (pieejamas tikai angļu valodā):Age Standardised estimated % Raised blood pressure 2015 (SBP>=140 OR DBP>=90).

Paaugstināts holesterīna līmenis

Pieaugušie, 2008

Atsauces:Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A885
Definīcijas (pieejamas tikai angļu valodā):% Raised total cholesterol (>= 5.0 mmol/L) (age-standardized estimate).

Vīrieši, 2008

Atsauces:Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A885
Definīcijas (pieejamas tikai angļu valodā):% 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
Definīcijas (pieejamas tikai angļu valodā):% Raised total cholesterol (>= 5.0 mmol/L) (age-standardized estimate).

Paaugstināts glikozes līmenis asinīs

Vīrieši, 2014

Atsauces:Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A869?lang=en
Definīcijas (pieejamas tikai angļu valodā):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
Definīcijas (pieejamas tikai angļu valodā):Age Standardised % raised fasting blood glucose (>= 7.0 mmol/L or on medication).

Diabēta izplatība

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
Aptvertā 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
Definīcijas (pieejamas tikai angļu valodā):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
Definīcijas (pieejamas tikai angļu valodā):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
Definīcijas (pieejamas tikai angļu valodā):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]
Definīcijas (pieejamas tikai angļu valodā):Incidence per 100,000

Leukemia

Vīrieši, 2022

Vecums:20+
Aptvertā 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]
Definīcijas (pieejamas tikai angļu valodā):Incidence per 100,000
Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m².

Sievietes, 2022

Vecums:20+
Aptvertā 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]
Definīcijas (pieejamas tikai angļu valodā):Incidence per 100,000
Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m².

Leukemia

Vīrieši, 2022

Vecums:20+
Aptvertā 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]
Definīcijas (pieejamas tikai angļu valodā):Incidence per 100,000
Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m².

Sievietes, 2022

Vecums:20+
Aptvertā 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]
Definīcijas (pieejamas tikai angļu valodā):Incidence per 100,000
Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m².

Liver and intrahepatic bile duct Cancer

Vīrieši, 2022

Vecums:20+
Aptvertā 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]
Definīcijas (pieejamas tikai angļu valodā):Incidence per 100,000

Sievietes, 2022

Vecums:20+
Aptvertā 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]
Definīcijas (pieejamas tikai angļu valodā):Incidence per 100,000

Multiple Myeloma

Vīrieši, 2022

Vecums:20+
Aptvertā 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]
Definīcijas (pieejamas tikai angļu valodā):Indicence per 100,000
Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m².

Sievietes, 2022

Vecums:20+
Aptvertā 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]
Definīcijas (pieejamas tikai angļu valodā):Indicence per 100,000
Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m².

Non Hodgkin Lymphoma

Vīrieši, 2022

Vecums:20+
Aptvertā 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]
Definīcijas (pieejamas tikai angļu valodā):Incidence per 100,000
Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m².

Sievietes, 2022

Vecums:20+
Aptvertā 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]
Definīcijas (pieejamas tikai angļu valodā):Incidence per 100,000
Ja nav norādīts citādi, liekais svars attiecas uz ĶMI no 25 kg līdz 29,9 kg/m², aptaukošanās attiecas uz ĶMI, kas lielāks par 30 kg/m².

Thyroid Cancer

Vīrieši, 2022

Vecums:20+
Aptvertā 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]
Definīcijas (pieejamas tikai angļu valodā):Incidence per 100,000

Sievietes, 2022

Vecums:20+
Aptvertā 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]
Definīcijas (pieejamas tikai angļu valodā):Incidence per 100,000

Economic impact of overweight and obesity

Country comparisons

You can choose to compare this country’s data with the data for up to four other countries.

Policies, Interventions and Actions

SADC Strategy and Implementation Plan on the Prevention of Overweight and Obesity

This document lays out SADC’s strategic intent to support Member States in the prevention of overweight and obesity. Objectives include being able to: • Engage and secure commitment from SADC Member States for the successful implementation of the strategy. • Strengthen policy and regulatory frameworks to foster an enabling environment for the prevention and control of obesity. • Enhance the capacity and knowledge of leaders, decision-makers, and institutions to actively promote interventions for and investment in obesity prevention. • Develop and implement effective roadmaps across all SADC Member States for the prevention and control obesity. • Establish and maintain an efficient regional surveillance system to facilitate evidence-based decision making.

Categories:Transnational Obesity Strategies/Policy/Recommendations or Action Plan
Year(s):2024-2030
Target age group:Pieaugušie un bērni
Organisation:Southern African Development Community (SADC)
Linked document:Download linked document
References:SADC Strategy on the Prevention of Overweight and Obesity and Implementation Plan 2024-2030, Gaborone, Botswana, 2024

Tax on beverages

Excise tax on all non-alcoholic beverages whether or not containing added sugar or other sweeteners

Categories:Taxation/Subsidies on Food or Beverages or law relating to public health
Year(s):2018 (ongoing)
Target age group:Pieaugušie un bērni
Organisation:Government
Linked document:Download linked document

NCD Country Profiles 2018 (Obesity Targets)

The profiles also provide data on the key metabolic risk factors, namely raised blood pressure, raised blood glucose and obesity and National Targets on Obesity (as of 2017)

Categories:Evidence of Obesity Target
Year(s):2017 (ongoing)
Target age group:Pieaugušie un bērni
Organisation:World Health Organisation
References:Noncommunicable diseases country profiles 2018. Geneva: World Health Organization; 2018. Licence: CC BY-NC-SA 3.0 IGO.

National Multisectoral Nutrition Action Plan (NMNAP)

National Multisectoral Nutrition Action Plan (NMNAP) reflects Tanzania’s commitment to addressing the unacceptably high levels of malnutrition and translates into a single comprehensive national plan the nutrition relevant national, regional and international commitments that Tanzania has made

Categories:Evidence of Nutritional or Health Strategy/ Guidelines/Policy/Action plan
Evidence of NCD strategy
Year(s):2016-2021
Target age group:Pieaugušie un bērni
Organisation:United Republic of Tanzania Prime Minister Office
Linked document:Download linked document
References:United Republic of Tanzania (2016): National Multisectoral Nutrition Action Plan (NMNAP) for the period July 2016 – June 2021

National Nutrition Strategy

The aim of this Strategy is for all Tanzanians attain adequate nutritional status, which is an essential requirement for a healthy and productive nation.

Categories (partial):Evidence of Nutritional or Health Strategy/ Guidelines/Policy/Action plan
Year(s):2011-2016
Target age group:Pieaugušie un bērni
Organisation:Ministry of Health and Social Welfare
Find out more:Link currently unavailable. If you aware of the location of this document please email obesity@worldobesity.org
References:Information provided with kind permission of WHO Global database on the Implementation of Nutrition Action (GINA): https://extranet.who.int/nutrition/gina/en Please note the GINA website has been replaced by the GIFNA database and the GINA link will no longer work. You will find this document by searching this new database: https://gifna.who.int/

Technical Working Group, Nutrition (TWG-N)

National Multisectoral stakeholder mechanism in place (such as Coalition, Taskforce, Committee) for Obesity or Nutrition (including obesity)

Categories:Evidence of a multi-sectoral national coordination mechanism for obesity or nutrition (including obesity)
Year(s):2011 (ongoing)
Target age group:Pieaugušie un bērni
References:Information provided with kind permission of WHO Global database on the Implementation of Nutrition Action (GINA): https://extranet.who.int/nutrition/gina/en/node/27155 (last accessed 04.08.22) Please note the GINA website has been replaced by the GIFNA database and the GINA link will no longer work. You will find this document by searching this new database: https://gifna.who.int/

Tanzania Food, Drugs and Cosmetics Act (Food Labelling)

Mandatory national labelling guidelines for pre-packaged food approved by the Minister of Health and Social Welfare and adopted from July 2006. (Available only in English language)

Categories:Labelling Regulation/Guidelines
Year(s):2006 (ongoing)
Target age group:Pieaugušie un bērni
Organisation:Minister of Health and Social Welfare
Linked document:Download linked document
References:Information provided with kind permission of WHO Global database on the Implementation of Nutrition Action (GINA): https://extranet.who.int/nutrition/gina/en/node/36032 (last accessed 03.08.22) Please note the GINA website has been replaced by the GIFNA database and the GINA link will no longer work. You will find this document by searching this new database: https://gifna.who.int/

GNPR 2016-17 (q7) Breastfeeeding promotion and/or counselling

WHO Global Nutrition Policy Review 2016-2017 reported the evidence of breastfeeding promotion and/or counselling (q7)

Categories:Evidence of Breastfeeding promotion or related activity
Target age group:Pieaugušie
Organisation:Ministry of Health (information provided by the GINA progam)
Find out more:extranet.who.int
References:Information provided with kind permission of WHO Global database on the Implementation of Nutrition Action (GINA): https://extranet.who.int/nutrition/gina/en Please note the GINA website has been replaced by the GIFNA database and the GINA link will no longer work. You will find this document by searching this new database: https://gifna.who.int/

Marketing of Breast-Milk Substitutes: National Implementation of the International Code Status Report 2016 (Promotion of Breastfeeding)

The 2016 report provides information on the status of implementing the International Code of Marketing of Breast-milk Substitutes and subsequent relevant World Health Assembly resolutions (“the Code”) in and by countries. The report also identifies in which countries they actively promote the benefits of breastfeeding.

Categories:Evidence of Breastfeeding promotion or related activity
Target age group:Pieaugušie
Organisation:WHO UNICEF IBFAN
References:WHO. UNICEF. IBFAN. Marketing of Breast-milk Substitutes: National Implementation of the International Code. Status Report 2016. Geneva: World Health Organization; 2016

No actions could be found for the above criteria.

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

See more policies here

Download contextual factors as a PDF Contextual factors definitions

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