Dienvidāfrika
Upper-middle income
- PÄrskats
- AptaukoÅ¡anÄs izplatÄ«ba
- Tendences, kas veidojas laika gaitÄ
- IedzÄ«votÄju sadalÄ«jums
- IetekmÄ“jošie faktori
- Blakusslimības
- EkonomiskÄ ietekme
- Politikas (pieejamas tikai angļu valodÄ)
- Contextual factors
Notiek datu ielÄde – lÅ«dzu, uzgaidiet
Valst? past?vošie ar aptaukošanos saist?tie riski *8/10This is a composite ‘obesity risk’ score (out of 10, the highest risk) based on obesity prevalence, rate of increase, likelihood of meeting the 2025 target, treatment indicator and childhood stunting levels.Aptaukošan?s risks b?rn?b? *6/11This is a ‘risk score’ for each country’s likelihood of having or acquiring a major childhood obesity problem during the 2020s, taking account of current prevalence levels and risk for future obesity (based on stunting among infants, maternal obesity, maternal smoking, and breastfeeding rates).
Report cards
Our report cards collate all the most-recent graphics for this country. If you would like to produce a custom report based on selected graphics, just tap the Add to custom PDF button below the graphics you would like to use.
IedzÄ«votÄju sadalÄ«jums
IetekmÄ“jošie faktori
Nepietiekamas aktivitÄtes
Augļu patēriņš
PÄrstrÄdÄtas gaļas patÄ“riņš
Graudaugu patēriņš
Depresija
Trauksme
AptaukoÅ¡anÄs cÄ“loņi »
Like all chronic diseases, the root causes/drivers of obesity are complex. Select here to view 'other' root causes/drivers.Barošana ar krūti
Unaffordable diet
LejupielÄdÄ“t ziņojumu kartÄ«ti
Blakusslimības
Barības vada vēzis
Krūts dziedzera vēzis
KolorektÄlais vÄ“zis
Aizkuņģa dziedzera vēzis
Žultspūšļa vēzis
Nieru vēzis
Dzemdes vēzis
PaaugstinÄts asinsspiediens
PaaugstinÄts holesterÄ«na lÄ«menis
PaaugstinÄts glikozes lÄ«menis asinÄ«s
Diabēta izplatība
Ovarian Cancer
Leukemia
Liver & bile duct cancer
Mulitple Myeloma
Non Hodgkin Lymphoma
Thyroid Cancer
LejupielÄdÄ“t ziņojumu kartÄ«ti
EkonomiskÄ ietekme
Politikas (pieejamas tikai angļu valodÄ)
Valsts stratÄ“Ä£ija attiecÄ«bÄ uz aptaukoÅ¡anos
StratÄ“Ä£ija uztura vai veselÄ«bas jomÄ
MÄrketings
Fiziska aktivitÄte
Nodokļi/subsÄ«dijas pÄrtikai vai dzÄ“rieniem
Sabiedrības iniciatīvas
StarptautiskÄs stratÄ“Ä£ijas saistÄ«bÄ ar aptaukoÅ¡anos
MarÄ·Ä“jums
NCD stratēģija
Regulations (voluntary/pledges)
PÄrvaldÄ«bas vai apstrÄdes vadlÄ«nijas
School Food Regulations/Guidelines
Barošana ar krūti
Obesity Target
Obesity as a Disease
LejupielÄdÄ“t ziņojumu kartÄ«ti
Contextual factors
Aptaukošan?s izplat?ba
Pieaugušie, 2021-2022
| Apsekojuma veids: | M?r?t? v?rt?ba |
| Vecums: | 18+ |
| Izlases lielums: | 30136 |
| Aptvert? teritorija: | Valsts |
| Atsauces: | Simelane, T. Mutanga, S.S. Hongoro, C. Parker, W. Mjimba V. Zuma, K. Kajombo, R. Ngidi, M. Masamha, B. Mokhele, T. Managa, R. Ngungu, M. Sinyolo, S. Tshililo, F. Ubisi, N. Skhosana, Ndinda, C. Sithole, M. Muthige, M. Lunga, W. Tshitangano, F. Dukhi, N., F. Sewpaul, R. Mkhongi, A. Marinda, E., 2023. National Food and Nutrition Security Survey: National Report: HSRC: Pretoria. |
| Piez?mes (pieejamas tikai ang?u valod?): | 10099 men and 19982 women |
| Ja nav nor?d?ts cit?di, liekais svars attiecas uz ?MI no 25 kg l?dz 29,9 kg/m², aptaukošan?s attiecas uz ?MI, kas liel?ks par 30 kg/m². | |
Pieaugušie, 2016
| Apsekojuma veids: | M?r?t? v?rt?ba |
| Vecums: | 15+ |
| Izlases lielums: | 7767 |
| Aptvert? teritorija: | Valsts |
| Atsauces: | National Department of Health (NDoH), Statistics South Africa (Stats SA), South African Medical Research Council (SAMRC), and ICF. 2019. South Africa Demographic and Health Survey 2016. Pretoria, South Africa, and Rockville, Maryland, USA: NDoH, Stats SA, SAMRC, and ICF. |
| Piez?mes (pieejamas tikai ang?u valod?): | 3105 Men 4662 Women |
| Ja nav nor?d?ts cit?di, liekais svars attiecas uz ?MI no 25 kg l?dz 29,9 kg/m², aptaukošan?s attiecas uz ?MI, kas liel?ks par 30 kg/m². | |
Pieaugušie, 2012
| Apsekojuma veids: | M?r?t? v?rt?ba |
| Vecums: | 15+ |
| Izlases lielums: | 7267 |
| Aptvert? teritorija: | Valsts |
| Atsauces: | NHANES South Africa http://www.hsrc.ac.za/en/research-outputs/view/6493 |
| Ja nav nor?d?ts cit?di, liekais svars attiecas uz ?MI no 25 kg l?dz 29,9 kg/m², aptaukošan?s attiecas uz ?MI, kas liel?ks par 30 kg/m². | |
Pieaugušie, 2003
| Apsekojuma veids: | M?r?t? v?rt?ba |
| Vecums: | 15+ |
| Izlases lielums: | 7756 |
| Aptvert? teritorija: | Valsts |
| Atsauces: | Department of Health, Medical Research Council, ORC Macro. 2007. South Africa Demographic and Health Survey 2003. Pretoria, South Africa: Department of Health/South Africa. |
| Ja nav nor?d?ts cit?di, liekais svars attiecas uz ?MI no 25 kg l?dz 29,9 kg/m², aptaukošan?s attiecas uz ?MI, kas liel?ks par 30 kg/m². | |
Pieaugušie, 1998
| Apsekojuma veids: | M?r?t? v?rt?ba |
| Vecums: | 15+ |
| Izlases lielums: | 13585 |
| Atsauces: | Department of Health/South Africa and Macro International. 2002. South Africa Demographic and Health Survey 1998. Pretoria, South Africa: Department of Health/South Africa. |
| Ja nav nor?d?ts cit?di, liekais svars attiecas uz ?MI no 25 kg l?dz 29,9 kg/m², aptaukošan?s attiecas uz ?MI, kas liel?ks par 30 kg/m². | |
B?rni, 2012
| Apsekojuma veids: | M?r?t? v?rt?ba |
| Vecums: | 2-14 |
| Izlases lielums: | 4278 |
| Aptvert? teritorija: | Valsts |
| Atsauces: | NHANES South Africa http://www.hsrc.ac.za/en/research-outputs/view/6493 |
| Piez?mes (pieejamas tikai ang?u valod?): | IOTF Cut off. Reference: Cole TJ, Bellizzi MC, Flegal KM, Dietz WH. Establishing a standard definition for child overweight and obesity worldwide: International survey. BMJ. 2000 May 6;320(7244):1240-3 NB. Combined child data estimated. These estimates were calculated by weighting male and female survey results. Weighting based on World Bank Population % total female 2019 (https://data.worldbank.org/indicator/SP.POP.TOTL.FE.ZS - accessed 20.11.20) |
| Cutoffs: | IOTF |
B?rni, 2001-2004
| Apsekojuma veids: | M?r?t? v?rt?ba |
| Vecums: | 6-13 |
| Izlases lielums: | 10283 |
| Aptvert? teritorija: | Valsts |
| Atsauces: | Armstrong MEG, Lambert MI, Sharwood KA & Lambert EV. 2006. Obesity and overweight in South African primany school children - the Health of the Nation Study. South African Medical Journal, 96: 439 - 444. |
| Piez?mes (pieejamas tikai ang?u valod?): | IOTF Cut off. Reference: Cole TJ, Bellizzi MC, Flegal KM, Dietz WH. Establishing a standard definition for child overweight and obesity worldwide: International survey. BMJ. 2000 May 6;320(7244):1240-3. |
| Cutoffs: | IOTF |
0-5 years, 2017
| Vecums: | 0-5 |
| Izlases lielums: | 4638254 |
| Atsauces: | Other: South Africa National Income Dynamics Study 2017, Wave 5 |
| Piez?mes (pieejamas tikai ang?u valod?): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Defin?cijas (pieejamas tikai ang?u valod?): | =>+2SD |
0-5 years, 2016
| Vecums: | 0-5 |
| Izlases lielums: | 1384 |
| Atsauces: | DHS: South Africa Demographic and Health Survey 2016. Pretoria, South Africa, and Rockville, Maryland, USA: NDoH, Stats SA, SAMRC, and ICF |
| Piez?mes (pieejamas tikai ang?u valod?): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Defin?cijas (pieejamas tikai ang?u valod?): | =>+2SD |
0-5 years, 2014-2015
| Vecums: | 0-5 |
| Izlases lielums: | 4977516 |
| Atsauces: | Other: South Africa National Income Dynamics Study 2014-15, Wave 4 |
| Piez?mes (pieejamas tikai ang?u valod?): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Defin?cijas (pieejamas tikai ang?u valod?): | =>+2SD |
0-5 years, 2008
| Vecums: | 0-5 |
| Izlases lielums: | 2783978 |
| Atsauces: | Other: South Africa 2008 National Income Dynamics Survey |
| Piez?mes (pieejamas tikai ang?u valod?): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Defin?cijas (pieejamas tikai ang?u valod?): | =>+2SD |
0-5 years, 1999
| Vecums: | 0-5 |
| Izlases lielums: | 1556 |
| Atsauces: | Other: The National Food Consumption Survey (NFCS): South Africa, 1999. Public Health Nutrition 2005;8:533-43 |
| Piez?mes (pieejamas tikai ang?u valod?): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Defin?cijas (pieejamas tikai ang?u valod?): | =>+2SD |
0-5 years, 1994-1995
| Vecums: | 0-5 |
| Izlases lielums: | 9807 |
| Atsauces: | Other: Children aged 6 to 71 months in South Africa, 1994: their anthropometric, vitamin A, iron and immunisation coverage status. Johannesburg, South Africa, 1995 |
| Piez?mes (pieejamas tikai ang?u valod?): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| Defin?cijas (pieejamas tikai ang?u valod?): | =>+2SD |
% Adults living with obesity in South Africa 1998-2021
V?rieši
| Apsekojuma veids: | M?r?t? v?rt?ba |
| Atsauces: | 1998: Department of Health/South Africa and Macro International. 2002. South Africa Demographic and Health Survey 1998. Pretoria, South Africa: Department of Health/South Africa. 2003: Department of Health, Medical Research Council, ORC Macro. 2007. South Africa Demographic and Health Survey 2003. Pretoria, South Africa: Department of Health/South Africa. 2012: NHANES South Africa http://www.hsrc.ac.za/en/research-outputs/view/6493 2016: National Department of Health (NDoH), Statistics South Africa (Stats SA), South African Medical Research Council (SAMRC), and ICF. 2019. South Africa Demographic and Health Survey 2016. Pretoria, South Africa, and Rockville, Maryland, USA: NDoH, Stats SA, SAMRC, and ICF. 2021: Simelane, T. Mutanga, S.S. Hongoro, C. Parker, W. Mjimba V. Zuma, K. Kajombo, R. Ngidi, M. Masamha, B. Mokhele, T. Managa, R. Ngungu, M. Sinyolo, S. Tshililo, F. Ubisi, N. Skhosana, Ndinda, C. Sithole, M. Muthige, M. Lunga, W. Tshitangano, F. Dukhi, N., F. Sewpaul, R. Mkhongi, A. Marinda, E., 2023. National Food and Nutrition Security Survey: National Report: HSRC: Pretoria. |
| Ja nav nor?d?ts cit?di, liekais svars attiecas uz ?MI no 25 kg l?dz 29,9 kg/m², aptaukošan?s attiecas uz ?MI, kas liel?ks par 30 kg/m². | |
| Šo datu apkopošanai, iesp?jams, ir izmantotas daž?das metodikas, t?p?c daž?du aptauju dati var neb?t prec?zi sal?dzin?mi. L?dzu, p?rbaudiet izmantoto metodiku ori?in?los datu avotos | |
Sievietes
| Apsekojuma veids: | M?r?t? v?rt?ba |
| Atsauces: | 1998: Department of Health/South Africa and Macro International. 2002. South Africa Demographic and Health Survey 1998. Pretoria, South Africa: Department of Health/South Africa. 2003: Department of Health, Medical Research Council, ORC Macro. 2007. South Africa Demographic and Health Survey 2003. Pretoria, South Africa: Department of Health/South Africa. 2012: NHANES South Africa http://www.hsrc.ac.za/en/research-outputs/view/6493 2016: National Department of Health (NDoH), Statistics South Africa (Stats SA), South African Medical Research Council (SAMRC), and ICF. 2019. South Africa Demographic and Health Survey 2016. Pretoria, South Africa, and Rockville, Maryland, USA: NDoH, Stats SA, SAMRC, and ICF. 2021: Simelane, T. Mutanga, S.S. Hongoro, C. Parker, W. Mjimba V. Zuma, K. Kajombo, R. Ngidi, M. Masamha, B. Mokhele, T. Managa, R. Ngungu, M. Sinyolo, S. Tshililo, F. Ubisi, N. Skhosana, Ndinda, C. Sithole, M. Muthige, M. Lunga, W. Tshitangano, F. Dukhi, N., F. Sewpaul, R. Mkhongi, A. Marinda, E., 2023. National Food and Nutrition Security Survey: National Report: HSRC: Pretoria. |
| Ja nav nor?d?ts cit?di, liekais svars attiecas uz ?MI no 25 kg l?dz 29,9 kg/m², aptaukošan?s attiecas uz ?MI, kas liel?ks par 30 kg/m². | |
| Šo datu apkopošanai, iesp?jams, ir izmantotas daž?das metodikas, t?p?c daž?du aptauju dati var neb?t prec?zi sal?dzin?mi. L?dzu, p?rbaudiet izmantoto metodiku ori?in?los datu avotos | |
% Adults living with overweight or obesity in South Africa 1998-2021
V?rieši
| Apsekojuma veids: | M?r?t? v?rt?ba |
| Atsauces: | 1998: Department of Health/South Africa and Macro International. 2002. South Africa Demographic and Health Survey 1998. Pretoria, South Africa: Department of Health/South Africa. 2003: Department of Health, Medical Research Council, ORC Macro. 2007. South Africa Demographic and Health Survey 2003. Pretoria, South Africa: Department of Health/South Africa. 2012: NHANES South Africa http://www.hsrc.ac.za/en/research-outputs/view/6493 2016: National Department of Health (NDoH), Statistics South Africa (Stats SA), South African Medical Research Council (SAMRC), and ICF. 2019. South Africa Demographic and Health Survey 2016. Pretoria, South Africa, and Rockville, Maryland, USA: NDoH, Stats SA, SAMRC, and ICF. 2021: Simelane, T. Mutanga, S.S. Hongoro, C. Parker, W. Mjimba V. Zuma, K. Kajombo, R. Ngidi, M. Masamha, B. Mokhele, T. Managa, R. Ngungu, M. Sinyolo, S. Tshililo, F. Ubisi, N. Skhosana, Ndinda, C. Sithole, M. Muthige, M. Lunga, W. Tshitangano, F. Dukhi, N., F. Sewpaul, R. Mkhongi, A. Marinda, E., 2023. National Food and Nutrition Security Survey: National Report: HSRC: Pretoria. |
| Ja nav nor?d?ts cit?di, liekais svars attiecas uz ?MI no 25 kg l?dz 29,9 kg/m², aptaukošan?s attiecas uz ?MI, kas liel?ks par 30 kg/m². | |
| Šo datu apkopošanai, iesp?jams, ir izmantotas daž?das metodikas, t?p?c daž?du aptauju dati var neb?t prec?zi sal?dzin?mi. L?dzu, p?rbaudiet izmantoto metodiku ori?in?los datu avotos | |
Sievietes
| Apsekojuma veids: | M?r?t? v?rt?ba |
| Atsauces: | 1998: Department of Health/South Africa and Macro International. 2002. South Africa Demographic and Health Survey 1998. Pretoria, South Africa: Department of Health/South Africa. 2003: Department of Health, Medical Research Council, ORC Macro. 2007. South Africa Demographic and Health Survey 2003. Pretoria, South Africa: Department of Health/South Africa. 2012: NHANES South Africa http://www.hsrc.ac.za/en/research-outputs/view/6493 2016: National Department of Health (NDoH), Statistics South Africa (Stats SA), South African Medical Research Council (SAMRC), and ICF. 2019. South Africa Demographic and Health Survey 2016. Pretoria, South Africa, and Rockville, Maryland, USA: NDoH, Stats SA, SAMRC, and ICF. 2021: Simelane, T. Mutanga, S.S. Hongoro, C. Parker, W. Mjimba V. Zuma, K. Kajombo, R. Ngidi, M. Masamha, B. Mokhele, T. Managa, R. Ngungu, M. Sinyolo, S. Tshililo, F. Ubisi, N. Skhosana, Ndinda, C. Sithole, M. Muthige, M. Lunga, W. Tshitangano, F. Dukhi, N., F. Sewpaul, R. Mkhongi, A. Marinda, E., 2023. National Food and Nutrition Security Survey: National Report: HSRC: Pretoria. |
| Ja nav nor?d?ts cit?di, liekais svars attiecas uz ?MI no 25 kg l?dz 29,9 kg/m², aptaukošan?s attiecas uz ?MI, kas liel?ks par 30 kg/m². | |
| Šo datu apkopošanai, iesp?jams, ir izmantotas daž?das metodikas, t?p?c daž?du aptauju dati var neb?t prec?zi sal?dzin?mi. L?dzu, p?rbaudiet izmantoto metodiku ori?in?los datu avotos | |
Liekais svars/aptaukoÅ¡anÄs pÄ“c izglÄ«tÄ«bas
Vīrieši, 2016
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| Vecums: | 15+ |
| Izlases lielums: | 7767 |
| AptvertÄ teritorija: | Valsts |
| Atsauces: | National Department of Health - NDoH, Statistics South Africa - Stats SA, South African Medical Research Council - SAMRC, and ICF. 2019. South Africa Demographic and Health Survey 2016. Pretoria, South Africa, and Rockville, Maryland, USA: NDoH, Stats SA, SAMRC, and ICF. |
| PiezÄ«mes (pieejamas tikai angļu valodÄ): | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
| Ja nav norÄdÄ«ts citÄdi, liekais svars attiecas uz ĶMI no 25 kg lÄ«dz 29,9 kg/m², aptaukoÅ¡anÄs attiecas uz ĶMI, kas lielÄks par 30 kg/m². | |
Sievietes, 2016
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| Vecums: | 15+ |
| Izlases lielums: | 7767 |
| AptvertÄ teritorija: | Valsts |
| Atsauces: | National Department of Health - NDoH, Statistics South Africa - Stats SA, South African Medical Research Council - SAMRC, and ICF. 2019. South Africa Demographic and Health Survey 2016. Pretoria, South Africa, and Rockville, Maryland, USA: NDoH, Stats SA, SAMRC, and ICF. |
| PiezÄ«mes (pieejamas tikai angļu valodÄ): | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
| Ja nav norÄdÄ«ts citÄdi, liekais svars attiecas uz ĶMI no 25 kg lÄ«dz 29,9 kg/m², aptaukoÅ¡anÄs attiecas uz ĶMI, kas lielÄks par 30 kg/m². | |
Vīrieši, 2003
| Apsekojuma veids: | Pašu ziņojums |
| Vecums: | 15+ |
| Atsauces: | Department of Health, Medical Research Council, OrcMacro. 2007. South Africa Demographic and Health Survey 2003. Pretoria: Department of Health. (https://dhsprogram.com/pubs/pdf/FR206/FR206.pdf last accessed 08.07.20) |
| PiezÄ«mes (pieejamas tikai angļu valodÄ): | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
| Ja nav norÄdÄ«ts citÄdi, liekais svars attiecas uz ĶMI no 25 kg lÄ«dz 29,9 kg/m², aptaukoÅ¡anÄs attiecas uz ĶMI, kas lielÄks par 30 kg/m². | |
Sievietes, 2003
| Apsekojuma veids: | Pašu ziņojums |
| Vecums: | 15+ |
| Atsauces: | Department of Health, Medical Research Council, OrcMacro. 2007. South Africa Demographic and Health Survey 2003. Pretoria: Department of Health. (https://dhsprogram.com/pubs/pdf/FR206/FR206.pdf last accessed 08.07.20) |
| PiezÄ«mes (pieejamas tikai angļu valodÄ): | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
| Ja nav norÄdÄ«ts citÄdi, liekais svars attiecas uz ĶMI no 25 kg lÄ«dz 29,9 kg/m², aptaukoÅ¡anÄs attiecas uz ĶMI, kas lielÄks par 30 kg/m². | |
Vīrieši, 1998
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| Vecums: | 15+ |
| Atsauces: | Department of Health/South Africa and Macro International. 2002. South Africa Demographic and Health Survey 1998. Pretoria, South Africa: Department of Health/South Africa. (https://www.samrc.ac.za/sites/default/files/files/2017-07-03/dhsfin1.pdf last accessed 08.07.20) |
| PiezÄ«mes (pieejamas tikai angļu valodÄ): | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
| Ja nav norÄdÄ«ts citÄdi, liekais svars attiecas uz ĶMI no 25 kg lÄ«dz 29,9 kg/m², aptaukoÅ¡anÄs attiecas uz ĶMI, kas lielÄks par 30 kg/m². | |
Sievietes, 1998
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| Vecums: | 15+ |
| Atsauces: | Department of Health/South Africa and Macro International. 2002. South Africa Demographic and Health Survey 1998. Pretoria, South Africa: Department of Health/South Africa. (https://www.samrc.ac.za/sites/default/files/files/2017-07-03/dhsfin1.pdf last accessed 08.07.20) |
| PiezÄ«mes (pieejamas tikai angļu valodÄ): | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
| Ja nav norÄdÄ«ts citÄdi, liekais svars attiecas uz ĶMI no 25 kg lÄ«dz 29,9 kg/m², aptaukoÅ¡anÄs attiecas uz ĶMI, kas lielÄks par 30 kg/m². | |
0-5 years, 2016
| Izlases lielums: | 1384 |
| Atsauces: | DHS: South Africa Demographic and Health Survey 2016. Pretoria, South Africa, and Rockville, Maryland, USA: NDoH, Stats SA, SAMRC, and ICF |
| PiezÄ«mes (pieejamas tikai angļu valodÄ): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | =>+2SD |
Liekais svars/aptaukoÅ¡anÄs pÄ“c vecuma
Pieaugušie, 2021-2022
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| Izlases lielums: | 30136 |
| AptvertÄ teritorija: | Valsts |
| Atsauces: | Simelane, T. Mutanga, S.S. Hongoro, C. Parker, W. Mjimba V. Zuma, K. Kajombo, R. Ngidi, M. Masamha, B. Mokhele, T. Managa, R. Ngungu, M. Sinyolo, S. Tshililo, F. Ubisi, N. Skhosana, Ndinda, C. Sithole, M. Muthige, M. Lunga, W. Tshitangano, F. Dukhi, N., F. Sewpaul, R. Mkhongi, A. Marinda, E., 2023. National Food and Nutrition Security Survey: National Report: HSRC: Pretoria. |
| PiezÄ«mes (pieejamas tikai angļu valodÄ): | 10099 men and 19982 women |
| Ja nav norÄdÄ«ts citÄdi, liekais svars attiecas uz ĶMI no 25 kg lÄ«dz 29,9 kg/m², aptaukoÅ¡anÄs attiecas uz ĶMI, kas lielÄks par 30 kg/m². | |
Pieaugušie, 2016
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| Izlases lielums: | 3105 Men4662 Women |
| AptvertÄ teritorija: | Valsts |
| Atsauces: | National Department of Health - NDoH, Statistics South Africa - Stats SA, South African Medical Research Council - SAMRC, and ICF. 2019. South Africa Demographic and Health Survey 2016. Pretoria, South Africa, and Rockville, Maryland, USA: NDoH, Stats SA, SAMRC, and ICF. |
| PiezÄ«mes (pieejamas tikai angļu valodÄ): | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
| Ja nav norÄdÄ«ts citÄdi, liekais svars attiecas uz ĶMI no 25 kg lÄ«dz 29,9 kg/m², aptaukoÅ¡anÄs attiecas uz ĶMI, kas lielÄks par 30 kg/m². | |
Pieaugušie, 2007-2010
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| Izlases lielums: | 3836 |
| AptvertÄ teritorija: | Valsts |
| Atsauces: | Wu F, Guo Y, Chatterji S, et al. Common risk factors for chronic non-communicable diseases among older adults in China, Ghana, Mexico, India, Russia and South Africa: the study on global AGEing and adult health (SAGE) wave 1. BMC Public Health. 2015;15:88. doi:10.1186/s12889-015-1407-0. |
| PiezÄ«mes (pieejamas tikai angļu valodÄ): | Prevalence of obesity for adults aged 50+ |
| Ja nav norÄdÄ«ts citÄdi, liekais svars attiecas uz ĶMI no 25 kg lÄ«dz 29,9 kg/m², aptaukoÅ¡anÄs attiecas uz ĶMI, kas lielÄks par 30 kg/m². | |
Pieaugušie, 2003
| Apsekojuma veids: | Pašu ziņojums |
| Atsauces: | Department of Health, Medical Research Council, ORC Macro. 2007. South Africa Demographic and Health Survey 2003. Pretoria, South Africa: Department of Health/South Africa. |
| PiezÄ«mes (pieejamas tikai angļu valodÄ): | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
| Ja nav norÄdÄ«ts citÄdi, liekais svars attiecas uz ĶMI no 25 kg lÄ«dz 29,9 kg/m², aptaukoÅ¡anÄs attiecas uz ĶMI, kas lielÄks par 30 kg/m². | |
Pieaugušie, 1998
| Apsekojuma veids: | Pašu ziņojums |
| Atsauces: | Department of Health/South Africa and Macro International. 2002. South Africa Demographic and Health Survey 1998. Pretoria, South Africa: Department of Health/South Africa. |
| PiezÄ«mes (pieejamas tikai angļu valodÄ): | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
| Ja nav norÄdÄ«ts citÄdi, liekais svars attiecas uz ĶMI no 25 kg lÄ«dz 29,9 kg/m², aptaukoÅ¡anÄs attiecas uz ĶMI, kas lielÄks par 30 kg/m². | |
Liekais svars/aptaukoÅ¡anÄs pÄ“c reÄ£iona
Pieaugušie, 2021-2022
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| Vecums: | 18+ |
| Izlases lielums: | 30136 |
| AptvertÄ teritorija: | Valsts |
| Atsauces: | Simelane, T. Mutanga, S.S. Hongoro, C. Parker, W. Mjimba V. Zuma, K. Kajombo, R. Ngidi, M. Masamha, B. Mokhele, T. Managa, R. Ngungu, M. Sinyolo, S. Tshililo, F. Ubisi, N. Skhosana, Ndinda, C. Sithole, M. Muthige, M. Lunga, W. Tshitangano, F. Dukhi, N., F. Sewpaul, R. Mkhongi, A. Marinda, E., 2023. National Food and Nutrition Security Survey: National Report: HSRC: Pretoria. |
| PiezÄ«mes (pieejamas tikai angļu valodÄ): | 10099 men and 19982 women |
| Ja nav norÄdÄ«ts citÄdi, liekais svars attiecas uz ĶMI no 25 kg lÄ«dz 29,9 kg/m², aptaukoÅ¡anÄs attiecas uz ĶMI, kas lielÄks par 30 kg/m². | |
Vīrieši, 2021-2022
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| Vecums: | 18+ |
| Izlases lielums: | 30136 |
| AptvertÄ teritorija: | Valsts |
| Atsauces: | Simelane, T. Mutanga, S.S. Hongoro, C. Parker, W. Mjimba V. Zuma, K. Kajombo, R. Ngidi, M. Masamha, B. Mokhele, T. Managa, R. Ngungu, M. Sinyolo, S. Tshililo, F. Ubisi, N. Skhosana, Ndinda, C. Sithole, M. Muthige, M. Lunga, W. Tshitangano, F. Dukhi, N., F. Sewpaul, R. Mkhongi, A. Marinda, E., 2023. National Food and Nutrition Security Survey: National Report: HSRC: Pretoria. |
| PiezÄ«mes (pieejamas tikai angļu valodÄ): | 10099 men and 19982 women |
| Ja nav norÄdÄ«ts citÄdi, liekais svars attiecas uz ĶMI no 25 kg lÄ«dz 29,9 kg/m², aptaukoÅ¡anÄs attiecas uz ĶMI, kas lielÄks par 30 kg/m². | |
Sievietes, 2021-2022
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| Vecums: | 18+ |
| Izlases lielums: | 30136 |
| AptvertÄ teritorija: | Valsts |
| Atsauces: | Simelane, T. Mutanga, S.S. Hongoro, C. Parker, W. Mjimba V. Zuma, K. Kajombo, R. Ngidi, M. Masamha, B. Mokhele, T. Managa, R. Ngungu, M. Sinyolo, S. Tshililo, F. Ubisi, N. Skhosana, Ndinda, C. Sithole, M. Muthige, M. Lunga, W. Tshitangano, F. Dukhi, N., F. Sewpaul, R. Mkhongi, A. Marinda, E., 2023. National Food and Nutrition Security Survey: National Report: HSRC: Pretoria. |
| PiezÄ«mes (pieejamas tikai angļu valodÄ): | 10099 men and 19982 women |
| Ja nav norÄdÄ«ts citÄdi, liekais svars attiecas uz ĶMI no 25 kg lÄ«dz 29,9 kg/m², aptaukoÅ¡anÄs attiecas uz ĶMI, kas lielÄks par 30 kg/m². | |
Vīrieši, 2016
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| Vecums: | 15+ |
| Izlases lielums: | 3105 Men4662 Women |
| AptvertÄ teritorija: | Valsts |
| Atsauces: | National Department of Health - NDoH, Statistics South Africa - Stats SA, South African Medical Research Council - SAMRC, and ICF. 2019. South Africa Demographic and Health Survey 2016. Pretoria, South Africa, and Rockville, Maryland, USA: NDoH, Stats SA, SAMRC, and ICF. |
| PiezÄ«mes (pieejamas tikai angļu valodÄ): | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
| Ja nav norÄdÄ«ts citÄdi, liekais svars attiecas uz ĶMI no 25 kg lÄ«dz 29,9 kg/m², aptaukoÅ¡anÄs attiecas uz ĶMI, kas lielÄks par 30 kg/m². | |
Sievietes, 2016
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| Vecums: | 15+ |
| Izlases lielums: | 3105 Men4662 Women |
| AptvertÄ teritorija: | Valsts |
| Atsauces: | National Department of Health - NDoH, Statistics South Africa - Stats SA, South African Medical Research Council - SAMRC, and ICF. 2019. South Africa Demographic and Health Survey 2016. Pretoria, South Africa, and Rockville, Maryland, USA: NDoH, Stats SA, SAMRC, and ICF. |
| PiezÄ«mes (pieejamas tikai angļu valodÄ): | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
| Ja nav norÄdÄ«ts citÄdi, liekais svars attiecas uz ĶMI no 25 kg lÄ«dz 29,9 kg/m², aptaukoÅ¡anÄs attiecas uz ĶMI, kas lielÄks par 30 kg/m². | |
Pieaugušie, 2007-2010
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| Vecums: | 50+ |
| Izlases lielums: | 3836 |
| AptvertÄ teritorija: | Valsts |
| Atsauces: | Wu F, Guo Y, Chatterji S, et al. Common risk factors for chronic non-communicable diseases among older adults in China, Ghana, Mexico, India, Russia and South Africa: the study on global AGEing and adult health (SAGE) wave 1. BMC Public Health. 2015;15:88. doi:10.1186/s12889-015-1407-0. |
| PiezÄ«mes (pieejamas tikai angļu valodÄ): | Prevalence of obesity for adults aged 50+ |
| Ja nav norÄdÄ«ts citÄdi, liekais svars attiecas uz ĶMI no 25 kg lÄ«dz 29,9 kg/m², aptaukoÅ¡anÄs attiecas uz ĶMI, kas lielÄks par 30 kg/m². | |
Vīrieši, 2003
| Apsekojuma veids: | Pašu ziņojums |
| Vecums: | 15+ |
| Atsauces: | Department of Health, Medical Research Council, ORC Macro. 2007. South Africa Demographic and Health Survey 2003. Pretoria, South Africa: Department of Health/South Africa. |
| PiezÄ«mes (pieejamas tikai angļu valodÄ): | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
| Ja nav norÄdÄ«ts citÄdi, liekais svars attiecas uz ĶMI no 25 kg lÄ«dz 29,9 kg/m², aptaukoÅ¡anÄs attiecas uz ĶMI, kas lielÄks par 30 kg/m². | |
Sievietes, 2003
| Apsekojuma veids: | Pašu ziņojums |
| Vecums: | 15+ |
| Atsauces: | Department of Health, Medical Research Council, ORC Macro. 2007. South Africa Demographic and Health Survey 2003. Pretoria, South Africa: Department of Health/South Africa. |
| PiezÄ«mes (pieejamas tikai angļu valodÄ): | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
| Ja nav norÄdÄ«ts citÄdi, liekais svars attiecas uz ĶMI no 25 kg lÄ«dz 29,9 kg/m², aptaukoÅ¡anÄs attiecas uz ĶMI, kas lielÄks par 30 kg/m². | |
Vīrieši, 1998
| Apsekojuma veids: | Pašu ziņojums |
| Vecums: | 15+ |
| Atsauces: | Department of Health/South Africa and Macro International. 2002. South Africa Demographic and Health Survey 1998. Pretoria, South Africa: Department of Health/South Africa. |
| PiezÄ«mes (pieejamas tikai angļu valodÄ): | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
| Ja nav norÄdÄ«ts citÄdi, liekais svars attiecas uz ĶMI no 25 kg lÄ«dz 29,9 kg/m², aptaukoÅ¡anÄs attiecas uz ĶMI, kas lielÄks par 30 kg/m². | |
Sievietes, 1998
| Apsekojuma veids: | Pašu ziņojums |
| Vecums: | 15+ |
| Atsauces: | Department of Health/South Africa and Macro International. 2002. South Africa Demographic and Health Survey 1998. Pretoria, South Africa: Department of Health/South Africa. |
| PiezÄ«mes (pieejamas tikai angļu valodÄ): | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
| Ja nav norÄdÄ«ts citÄdi, liekais svars attiecas uz ĶMI no 25 kg lÄ«dz 29,9 kg/m², aptaukoÅ¡anÄs attiecas uz ĶMI, kas lielÄks par 30 kg/m². | |
ZÄ“ni, 2012
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| Vecums: | 2-14 |
| Izlases lielums: | 4278 |
| AptvertÄ teritorija: | Valsts |
| Atsauces: | Shisana O, Labadarios D, Rehle T, Simbayi L, Zuma K, Dhansay A, Reddy P,Parker W, Hoosain E, Naidoo P, Hongoro C, Mchiza Z, Steyn NP, Dwane N, Makoae M, Maluleke T,Ramlagan S, Zungu N, Evans MG, Jacobs L, Faber M, & the SANHANES-1 Team (2014) South African National Health and Nutrition Examination Survey (SANHANES-1): 2014 Edition. Cape Town: HSRC Press. |
| PiezÄ«mes (pieejamas tikai angļu valodÄ): | Sample size for all 2-14yrs |
| Cutoffs: | IOTF |
Meitenes, 2012
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| Vecums: | 2-14 |
| Izlases lielums: | 4278 |
| AptvertÄ teritorija: | Valsts |
| Atsauces: | Shisana O, Labadarios D, Rehle T, Simbayi L, Zuma K, Dhansay A, Reddy P,Parker W, Hoosain E, Naidoo P, Hongoro C, Mchiza Z, Steyn NP, Dwane N, Makoae M, Maluleke T,Ramlagan S, Zungu N, Evans MG, Jacobs L, Faber M, & the SANHANES-1 Team (2014) South African National Health and Nutrition Examination Survey (SANHANES-1): 2014 Edition. Cape Town: HSRC Press. |
| PiezÄ«mes (pieejamas tikai angļu valodÄ): | Sample size for all 2-14yrs |
| Cutoffs: | IOTF |
0-5 years, 2017
| Izlases lielums: | 4638254 |
| Atsauces: | Other: South Africa National Income Dynamics Study 2017, Wave 5 |
| PiezÄ«mes (pieejamas tikai angļu valodÄ): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | =>+2SD |
0-5 years, 2016
| Izlases lielums: | 1384 |
| Atsauces: | DHS: South Africa Demographic and Health Survey 2016. Pretoria, South Africa, and Rockville, Maryland, USA: NDoH, Stats SA, SAMRC, and ICF |
| PiezÄ«mes (pieejamas tikai angļu valodÄ): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | =>+2SD |
0-5 years, 2014-2015
| Izlases lielums: | 4977516 |
| Atsauces: | Other: South Africa National Income Dynamics Study 2014-15, Wave 4 |
| PiezÄ«mes (pieejamas tikai angļu valodÄ): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | =>+2SD |
0-5 years, 2008
| Izlases lielums: | 2783978 |
| Atsauces: | Other: South Africa 2008 National Income Dynamics Survey |
| PiezÄ«mes (pieejamas tikai angļu valodÄ): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | =>+2SD |
Liekais svars/aptaukoÅ¡anÄs pÄ“c sociÄlekonomiskÄs grupas
Vīrieši, 2016
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| Vecums: | 15+ |
| Izlases lielums: | 7767 |
| AptvertÄ teritorija: | Valsts |
| Atsauces: | National Department of Health - NDoH, Statistics South Africa - Stats SA, South African Medical Research Council - SAMRC, and ICF. 2019. South Africa Demographic and Health Survey 2016. Pretoria, South Africa, and Rockville, Maryland, USA: NDoH, Stats SA, SAMRC, and ICF. |
| PiezÄ«mes (pieejamas tikai angļu valodÄ): | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
| Ja nav norÄdÄ«ts citÄdi, liekais svars attiecas uz ĶMI no 25 kg lÄ«dz 29,9 kg/m², aptaukoÅ¡anÄs attiecas uz ĶMI, kas lielÄks par 30 kg/m². | |
Sievietes, 2016
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| Vecums: | 15+ |
| Izlases lielums: | 7767 |
| AptvertÄ teritorija: | Valsts |
| Atsauces: | National Department of Health - NDoH, Statistics South Africa - Stats SA, South African Medical Research Council - SAMRC, and ICF. 2019. South Africa Demographic and Health Survey 2016. Pretoria, South Africa, and Rockville, Maryland, USA: NDoH, Stats SA, SAMRC, and ICF. |
| PiezÄ«mes (pieejamas tikai angļu valodÄ): | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
| Ja nav norÄdÄ«ts citÄdi, liekais svars attiecas uz ĶMI no 25 kg lÄ«dz 29,9 kg/m², aptaukoÅ¡anÄs attiecas uz ĶMI, kas lielÄks par 30 kg/m². | |
Pieaugušie, 2007-2010
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| Vecums: | 50+ |
| Izlases lielums: | 3836 |
| AptvertÄ teritorija: | Valsts |
| Atsauces: | Wu F, Guo Y, Chatterji S, et al. Common risk factors for chronic non-communicable diseases among older adults in China, Ghana, Mexico, India, Russia and South Africa: the study on global AGEing and adult health (SAGE) wave 1. BMC Public Health. 2015;15:88. doi:10.1186/s12889-015-1407-0. |
| PiezÄ«mes (pieejamas tikai angļu valodÄ): | Prevalence of obesity for adults aged 50+ by income level. Lowest (Quintile 1) is the quintile with the poorest households and Highest (Quintile 5) the quintile with the richest households. |
| Ja nav norÄdÄ«ts citÄdi, liekais svars attiecas uz ĶMI no 25 kg lÄ«dz 29,9 kg/m², aptaukoÅ¡anÄs attiecas uz ĶMI, kas lielÄks par 30 kg/m². | |
BÄ“rni, 2013
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| Vecums: | 9 |
| Izlases lielums: | 574 |
| AptvertÄ teritorija: | ReÄ£ioni |
| Atsauces: | Pienaar AE. Prevalence of overweight and obesity among primary school children in a developing country: NW-CHILD longitudinal data of 6-9-yr-old children in South Africa. BMC Obes. 2015 Feb 7;2:2. doi: 10.1186/s40608-014-0030-4. PMID: 26217517; PMCID: PMC4511440. |
| PiezÄ«mes (pieejamas tikai angļu valodÄ): | NB VERY SMALL SAMPLE SIZE North West Province |
| Cutoffs: | IOTF |
0-5 years, 2016
| Izlases lielums: | 1384 |
| Atsauces: | DHS: South Africa Demographic and Health Survey 2016. Pretoria, South Africa, and Rockville, Maryland, USA: NDoH, Stats SA, SAMRC, and ICF |
| PiezÄ«mes (pieejamas tikai angļu valodÄ): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | =>+2SD |
0-5 years, 2008
| Izlases lielums: | 2783978 |
| Atsauces: | Other: South Africa 2008 National Income Dynamics Survey |
| PiezÄ«mes (pieejamas tikai angļu valodÄ): | UNICEF/WHO/World Bank Joint Child Malnutrition Estimates Expanded Database: Overweight (Survey Estimates), May 2023, New York. For more information about the methodology, please consult https://data.unicef.org/resources/jme-2023-country-consultations/ Percentage of children under 5 years of age falling above 2 standard deviations (moderate and severe) from the median weight-for-height of the reference population. |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | =>+2SD |
Liekais svars/aptaukoÅ¡anÄs pÄ“c etniskÄs piederÄ«bas
Ethnic groups are as defined by publication of origin and are not as defined by WOF. In some instances ethnicity is conflated with nationality and/or race.
Vīrieši, 2016
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| Vecums: | 15+ |
| Izlases lielums: | 4642 women, 3105 men |
| AptvertÄ teritorija: | Valsts |
| Atsauces: | National Department of Health - NDoH, Statistics South Africa - Stats SA, South African Medical Research Council - SAMRC, and ICF. 2019. South Africa Demographic and Health Survey 2016. Pretoria, South Africa, and Rockville, Maryland, USA: NDoH, Stats SA, SAMRC, and ICF. |
| PiezÄ«mes (pieejamas tikai angļu valodÄ): | NB: The sample size for Indian/Asian men was only 60 unweighted cases. |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | Ethnicity data was collected according to self-reported South African population group |
| Ja nav norÄdÄ«ts citÄdi, liekais svars attiecas uz ĶMI no 25 kg lÄ«dz 29,9 kg/m², aptaukoÅ¡anÄs attiecas uz ĶMI, kas lielÄks par 30 kg/m². | |
Sievietes, 2016
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| Vecums: | 15+ |
| Izlases lielums: | 4642 women, 3105 men |
| AptvertÄ teritorija: | Valsts |
| Atsauces: | National Department of Health - NDoH, Statistics South Africa - Stats SA, South African Medical Research Council - SAMRC, and ICF. 2019. South Africa Demographic and Health Survey 2016. Pretoria, South Africa, and Rockville, Maryland, USA: NDoH, Stats SA, SAMRC, and ICF. |
| PiezÄ«mes (pieejamas tikai angļu valodÄ): | NB: The sample size for Indian/Asian men was only 60 unweighted cases. |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | Ethnicity data was collected according to self-reported South African population group |
| Ja nav norÄdÄ«ts citÄdi, liekais svars attiecas uz ĶMI no 25 kg lÄ«dz 29,9 kg/m², aptaukoÅ¡anÄs attiecas uz ĶMI, kas lielÄks par 30 kg/m². | |
BÄ“rni, 2007-2008
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| Vecums: | 7-18 |
| Izlases lielums: | 1559 |
| AptvertÄ teritorija: | Regional - Western Cape |
| Atsauces: | Negash, S., Agyemang, C., Matsha, T.E., Peer, N., Erasmus, R.T. and Kengne, A.P. (2017). Differential prevalence and associations of overweight and obesity by gender and population group among school learners in South Africa: a cross-sectional study. BMC Obesity, [online] 4(1). doi:https://doi.org/10.1186/s40608-017-0165-1 [Accessed 23.06.25] |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | Ethnicity was categorised by previously defined official South African population groups. The 'Coloured' group include people of Khoisan, Malaysian, Griqua, African and White descent and describe people of mixed ancestry. The Indian/Asian population were too small in the Western Cape, and were excluded from this study. |
| Cutoffs: | IOTF |
Double burden of underweight & overweight
Pieaugušie, 2022
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| Vecums: | 20+ |
| Atsauces: | NCD Risk Factor Collaboration (NCD-RisC). Worldwide trends in underweight and obesity from 1990 to 2022: a pooled analysis of 3663 population representative studies with 222 million children, adolescents, and adults. Lancet 2024; published online Feb 29. https://doi.org/10.1016/S0140-6736(23)02750-2. |
| PiezÄ«mes (pieejamas tikai angļu valodÄ): | Age Standardised estimates |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | Combined prevalence of BMI<18.5 kg/m² and BMI>=30 kg/m² (double burden of underweight and obesity) |
BÄ“rni, 2022
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| Vecums: | 5-19 |
| Atsauces: | NCD Risk Factor Collaboration (NCD-RisC). Worldwide trends in underweight and obesity from 1990 to 2022: a pooled analysis of 3663 population representative studies with 222 million children, adolescents, and adults. Lancet 2024; published online Feb 29. https://doi.org/10.1016/S0140-6736(23)02750-2. |
| PiezÄ«mes (pieejamas tikai angļu valodÄ): | Age standardised estimates |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | Combined prevalence of BMI < -2SD and BMI > 2SD (double burden of thinness and obesity) |
| Cutoffs: | BMI < -2SD and BMI > 2SD |
0-5 years, 2017
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| Vecums: | 0-5 |
| Atsauces: | United Nations Children’s Fund, Division of Data, Analysis, Planning and Monitoring (2025). Global UNICEF Global Databases: Overlapping Stunting, Wasting and Overweight (Survey Estimates), 2025, New York. For more information, visit: https://data.unicef.org/topic/nutrition/malnutrition/ [Accessed 06.08.25] |
| PiezÄ«mes (pieejamas tikai angļu valodÄ): | South Africa National Income Dynamics Study 2017, Wave 5 |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | Combined percentage of children under 5 years of age who are either wasted, stunted, or overweight (falling below -2 standard deviations from the median weight-for-height, falling below -2 standard deviations from the median height for age, or falling at or above +2 standard deviations from the median weight-for-height of the reference population) |
| Cutoffs: | WHZ <-2, HAZ <-2 and WHZ >+2 |
0-5 years, 2016
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| Vecums: | 0-5 |
| Atsauces: | United Nations Children’s Fund, Division of Data, Analysis, Planning and Monitoring (2025). Global UNICEF Global Databases: Overlapping Stunting, Wasting and Overweight (Survey Estimates), 2025, New York. For more information, visit: https://data.unicef.org/topic/nutrition/malnutrition/ [Accessed 06.08.25] |
| PiezÄ«mes (pieejamas tikai angļu valodÄ): | South Africa Demographic and Health Survey 2016. Pretoria, South Africa, and Rockville, Maryland, USA: NDoH, Stats SA, SAMRC, and ICF |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | Combined percentage of children under 5 years of age who are either wasted, stunted, or overweight (falling below -2 standard deviations from the median weight-for-height, falling below -2 standard deviations from the median height for age, or falling at or above +2 standard deviations from the median weight-for-height of the reference population) |
| Cutoffs: | WHZ <-2, HAZ <-2 and WHZ >+2 |
0-5 years, 2014-2015
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| Vecums: | 0-5 |
| Atsauces: | United Nations Children’s Fund, Division of Data, Analysis, Planning and Monitoring (2025). Global UNICEF Global Databases: Overlapping Stunting, Wasting and Overweight (Survey Estimates), 2025, New York. For more information, visit: https://data.unicef.org/topic/nutrition/malnutrition/ [Accessed 06.08.25] |
| PiezÄ«mes (pieejamas tikai angļu valodÄ): | South Africa National Income Dynamics Study 2014-15, Wave 4 |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | Combined percentage of children under 5 years of age who are either wasted, stunted, or overweight (falling below -2 standard deviations from the median weight-for-height, falling below -2 standard deviations from the median height for age, or falling at or above +2 standard deviations from the median weight-for-height of the reference population) |
| Cutoffs: | WHZ <-2, HAZ <-2 and WHZ >+2 |
0-5 years, 2008
| Apsekojuma veids: | MÄ“rÄ«tÄ vÄ“rtÄ«ba |
| Vecums: | 0-5 |
| Atsauces: | United Nations Children’s Fund, Division of Data, Analysis, Planning and Monitoring (2025). Global UNICEF Global Databases: Overlapping Stunting, Wasting and Overweight (Survey Estimates), 2025, New York. For more information, visit: https://data.unicef.org/topic/nutrition/malnutrition/ [Accessed 06.08.25] |
| PiezÄ«mes (pieejamas tikai angļu valodÄ): | South Africa 2008 National Income Dynamics Survey |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | Combined percentage of children under 5 years of age who are either wasted, stunted, or overweight (falling below -2 standard deviations from the median weight-for-height, falling below -2 standard deviations from the median height for age, or falling at or above +2 standard deviations from the median weight-for-height of the reference population) |
| Cutoffs: | WHZ <-2, HAZ <-2 and WHZ >+2 |
Nepietiekamas fiziskÄs aktivitÄtes
Pieaugušie, 2022
| Apsekojuma veids: | Pašu ziņojums |
| Vecums: | 18+ |
| AptvertÄ 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)-(-) |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | 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+ |
| AptvertÄ 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)-(-) |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | 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+ |
| AptvertÄ 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)-(-) |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | 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 |
Estimated per capita fruit intake
Pieaugušie, 2017
| Vecums: | 25+ |
| AptvertÄ teritorija: | Valsts |
| Atsauces: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | Estimated per capita fruit intake (g/day) |
Estimated per capita processed meat intake
Pieaugušie, 2017
| Vecums: | 25+ |
| AptvertÄ teritorija: | Valsts |
| Atsauces: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | Estimated per capita processed meat intake (g per day) |
Estimated per capita whole grains intake
Pieaugušie, 2017
| Apsekojuma veids: | M?r?t? v?rt?ba |
| Vecums: | 25+ |
| Atsauces: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
| Defin?cijas (pieejamas tikai ang?u valod?): | Estimated per-capita whole grains intake (g/day) |
GarÄ«gÄ veselÄ«ba – depresijas traucÄ“jumi
Pieaugušie, 2021
| Vecums: | 20+ |
| AptvertÄ 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) |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | Number living with depression per 100,000 population (adults 20+ years) |
Vīrieši, 2021
| Vecums: | 20+ |
| AptvertÄ 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) |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | Number living with depression per 100,000 population (adults 20+ years) |
Sievietes, 2021
| Vecums: | 20+ |
| AptvertÄ 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) |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | Number living with depression per 100,000 population (adults 20+ years) |
Pieaugušie, 2015
| Atsauces: | Prevalence data from Global Burden of Disease study 2015 (http://ghdx.healthdata.org) published in: Depression and Other Common Mental Disorders: Global Health Estimates. Geneva:World Health Organization; 2017. Licence: CC BY-NC-SA 3.0 IGO. |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | % of population with depression disorders |
BÄ“rni, 2021
| AptvertÄ 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) |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | Number living with depressive disorder per 100,000 population (Under 20 years of age) |
ZÄ“ni, 2021
| AptvertÄ 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) |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | Number living with depressive disorder per 100,000 population (Under 20 years of age) |
Meitenes, 2021
| AptvertÄ 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) |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | Number living with depressive disorder per 100,000 population (Under 20 years of age) |
GarÄ«gÄ veselÄ«ba – trauksmes problÄ“mas
Pieaugušie, 2021
| Vecums: | 20+ |
| Atsauces: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25). |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | 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). |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | 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). |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | Number living with anxiety per 100,000 population |
Pieaugušie, 2015
| Atsauces: | Prevalence data from Global Burden of Disease study 2015 (http://ghdx.healthdata.org) published in: Depression and Other Common Mental Disorders: Global Health Estimates. Geneva:World Health Organization; 2017. Licence: CC BY-NC-SA 3.0 IGO. |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | % of population with anxiety disorders |
BÄ“rni, 2021
| Atsauces: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25) |
ZÄ“ni, 2021
| Atsauces: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25) |
Meitenes, 2021
| Atsauces: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25) |
% zīdaiņi, kas pirmos 5 mēnešus baroti tikai ar krūti
0-5 years, 2010-2024
| Atsauces: | South Africa Demographic and Health Survey 2016. Pretoria, South Africa, and Rockville, Maryland, USA: NDoH, Stats SA, SAMRC, and ICF |
| PiezÄ«mes (pieejamas tikai angļu valodÄ): | Full details are available. Original citation United Nations Children’s Fund, Division of Data, Analysis, Planning and Monitoring (2023). Global UNICEF Global Databases: Infant and Young Child Feeding: Exclusive breastfeeding, New York, October 2023. |
Percent of population who cannot afford a healthy diet
Pieaugušie, 2024
| AptvertÄ teritorija: | Valsts |
| Atsauces: | FAO. 2025. FAOSTAT: Cost and Affordability of a Healthy Diet (CoAHD). https://www.fao.org/faostat/en/#data/CAHD. Licence: CC-BY-4.0. [Last Accessed 15.10.25] |
| PiezÄ«mes (pieejamas tikai angļu valodÄ): | The percent of the population whose food budget is below the cost of a healthy diet. |
Pieaugušie, 2022
| AptvertÄ 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+ |
| AptvertÄ 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] |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | Indicence per 100,000 |
Sievietes, 2022
| Vecums: | 20+ |
| AptvertÄ 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] |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | Indicence per 100,000 |
Vīrieši, 2020
| Vecums: | 20+ |
| AptvertÄ 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 10.01.2325 |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | Age-standardized indicence rates per 100 000 |
Sievietes, 2020
| Vecums: | 20+ |
| AptvertÄ 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 10.01.2325 |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | Age-standardized indicence rates per 100 000 |
Krūts dziedzera vēzis
Sievietes, 2022
| AptvertÄ 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] |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | Incidence per 100,000 |
KolorektÄlais vÄ“zis
Vīrieši, 2022
| Vecums: | 20+ |
| AptvertÄ 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] |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | Incidence per 100,000 |
Sievietes, 2022
| Vecums: | 20+ |
| AptvertÄ 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] |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | Incidence per 100,000 |
Vīrieši, 2020
| Vecums: | 20+ |
| AptvertÄ 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 10.01.2325 |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | Age-standardized indicence rates per 100 000 |
Sievietes, 2020
| Vecums: | 20+ |
| AptvertÄ 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 10.01.2325 |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | Age-standardized indicence rates per 100 000 |
Aizkuņģa dziedzera vēzis
Vīrieši, 2022
| Vecums: | 20+ |
| AptvertÄ 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] |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | Incidence per 100,000 |
Sievietes, 2022
| Vecums: | 20+ |
| AptvertÄ 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] |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | Incidence per 100,000 |
Vīrieši, 2020
| Vecums: | 20+ |
| AptvertÄ 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 10.01.2325 |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | Age-standardized indicence rates per 100 000 |
Sievietes, 2020
| Vecums: | 20+ |
| AptvertÄ 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 10.01.2325 |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | Age-standardized indicence rates per 100 000 |
Žultspūšļa vēzis
Vīrieši, 2022
| Vecums: | 20+ |
| AptvertÄ 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] |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | Indicence per 100,000 |
Sievietes, 2022
| Vecums: | 20+ |
| AptvertÄ 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] |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | Indicence per 100,000 |
Vīrieši, 2020
| Vecums: | 20+ |
| AptvertÄ 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 10.01.2325 |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | Age-standardized indicence rates per 100 000 |
Sievietes, 2020
| Vecums: | 20+ |
| AptvertÄ 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 10.01.2325 |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | Age-standardized indicence rates per 100 000 |
Nieru vēzis
Vīrieši, 2022
| Vecums: | 20+ |
| AptvertÄ 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] |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | Incidence per 100,000 |
Sievietes, 2022
| Vecums: | 20+ |
| AptvertÄ 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] |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | Incidence per 100,000 |
Vīrieši, 2020
| Vecums: | 20+ |
| AptvertÄ 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 10.01.2325 |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | Age-standardized indicence rates per 100 000 |
Sievietes, 2020
| Vecums: | 20+ |
| AptvertÄ 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 10.01.2325 |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | 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] |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | Incidence per 100,000 |
Sievietes, 2020
| Vecums: | 20+ |
| AptvertÄ 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 10.01.2325 |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | Age-standardized indicence rates per 100 000 |
PaaugstinÄts asinsspiediens
Pieaugušie, 2015
| Atsauces: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A875?lang=en |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | 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 |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | 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 |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | Age Standardised estimated % Raised blood pressure 2015 (SBP>=140 OR DBP>=90). |
PaaugstinÄts holesterÄ«na lÄ«menis
Pieaugušie, 2008
| Atsauces: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A885 |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | % 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 |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | % 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 |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | % Raised total cholesterol (>= 5.0 mmol/L) (age-standardized estimate). |
PaaugstinÄts glikozes lÄ«menis asinÄ«s
Vīrieši, 2014
| Atsauces: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A869?lang=en |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | 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 |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | 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 |
| AptvertÄ 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 |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | 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 |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | 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 |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | 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] |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | Incidence per 100,000 |
Leukemia
Vīrieši, 2022
| Vecums: | 20+ |
| AptvertÄ 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] |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | Incidence per 100,000 |
| Ja nav norÄdÄ«ts citÄdi, liekais svars attiecas uz ĶMI no 25 kg lÄ«dz 29,9 kg/m², aptaukoÅ¡anÄs attiecas uz ĶMI, kas lielÄks par 30 kg/m². | |
Sievietes, 2022
| Vecums: | 20+ |
| AptvertÄ 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] |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | Incidence per 100,000 |
| Ja nav norÄdÄ«ts citÄdi, liekais svars attiecas uz ĶMI no 25 kg lÄ«dz 29,9 kg/m², aptaukoÅ¡anÄs attiecas uz ĶMI, kas lielÄks par 30 kg/m². | |
Liver and intrahepatic bile duct Cancer
Vīrieši, 2022
| Vecums: | 20+ |
| AptvertÄ 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] |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | Incidence per 100,000 |
Sievietes, 2022
| Vecums: | 20+ |
| AptvertÄ 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] |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | Incidence per 100,000 |
Multiple Myeloma
Vīrieši, 2022
| Vecums: | 20+ |
| AptvertÄ 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] |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | Indicence per 100,000 |
| Ja nav norÄdÄ«ts citÄdi, liekais svars attiecas uz ĶMI no 25 kg lÄ«dz 29,9 kg/m², aptaukoÅ¡anÄs attiecas uz ĶMI, kas lielÄks par 30 kg/m². | |
Sievietes, 2022
| Vecums: | 20+ |
| AptvertÄ 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] |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | Indicence per 100,000 |
| Ja nav norÄdÄ«ts citÄdi, liekais svars attiecas uz ĶMI no 25 kg lÄ«dz 29,9 kg/m², aptaukoÅ¡anÄs attiecas uz ĶMI, kas lielÄks par 30 kg/m². | |
Non Hodgkin Lymphoma
Vīrieši, 2022
| Vecums: | 20+ |
| AptvertÄ 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] |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | Incidence per 100,000 |
| Ja nav norÄdÄ«ts citÄdi, liekais svars attiecas uz ĶMI no 25 kg lÄ«dz 29,9 kg/m², aptaukoÅ¡anÄs attiecas uz ĶMI, kas lielÄks par 30 kg/m². | |
Sievietes, 2022
| Vecums: | 20+ |
| AptvertÄ 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] |
| DefinÄ«cijas (pieejamas tikai angļu valodÄ): | Incidence per 100,000 |
| Ja nav norÄdÄ«ts citÄdi, liekais svars attiecas uz ĶMI no 25 kg lÄ«dz 29,9 kg/m², aptaukoÅ¡anÄs attiecas uz ĶMI, kas lielÄks par 30 kg/m². | |
Thyroid Cancer
V?rieši, 2022
| Vecums: | 20+ |
| Aptvert? teritorija: | Valsts |
| Atsauces: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Defin?cijas (pieejamas tikai ang?u valod?): | Incidence per 100,000 |
Sievietes, 2022
| Vecums: | 20+ |
| Aptvert? teritorija: | Valsts |
| Atsauces: | Ferlay J, Ervik M, Lam F, Laversanne M, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F (2024).Global Cancer Observatory: Cancer Today. Lyon, France: International Agency for Research on Cancer. Available from: https://gco.iarc.who.int/today, accessed [16.07.24] |
| Defin?cijas (pieejamas tikai ang?u valod?): | Incidence per 100,000 |
Economic impact of overweight and obesity
Policies, Interventions and Actions
Contextual factors
Disclaimer: These contextual factors should be interpreted with care. Results are updated as regularly as possible and use very specific criteria. The criteria used and full definitions are available for download at the bottom of this page.
Tap on a tick to find out more about policies influencing this factor.
Labelling
| Is there mandatory nutrition labelling? | Absent |
| Front-of-package labelling? | Absent |
| Back-of-pack nutrition declaration? | Present |
| 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)? | Present |
| Mandatory limit of trans fats in place (all settings)? | Present |
| 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? | Present-(voluntary) |
| Are there mandatory standards for food in schools? | Absent |
| Are there any mandatory nutrient limits in any manufactured food products? | Present |
| Nutrition standards for public sector procurement? | Absent |
Political will and support
| National obesity strategy or nutrition and physical activity national strategy? | Present |
| National obesity strategy? | Present |
| National childhood obesity strategy? | Absent |
| Comprehensive nutrition strategy? | Present |
| Comprehensive physical activity strategy? | Absent |
| Evidence-based dietary guidelines and/or RDAs? | Present |
| 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? | Present |
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 July 1, 2025
Download contextual factors as a PDF Contextual factors definitions
