Dienvidāfrika
- Pārskats
- Aptaukošanās izplatība
- Tendences, kas veidojas laika gaitā
- Iedzīvotāju sadalījums
- Ietekmējošie faktori
- Blakusslimības
- Ekonomiskā ietekme
- Politikas (pieejamas tikai angļu valodā)
- Contextual factors
Notiek datu ielāde – lūdzu, uzgaidiet
Valstī pastāvošie ar aptaukošanos saistītie riski *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.Aptaukošanās risks bērnībā *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).
Aptaukošanās izplatība
Tendences, kas veidojas laika gaitā
Lejupielādēt ziņojumu kartīti
Ziņojuma kartītē apkopotas visas jaunākās grafikas izvēlētajai valstij. Ja vēlaties izveidot pielāgotu pārskatu, pamatojoties uz atlasītajām grafikām, vienkārši pieskarieties pogai "Pievienot pielāgotu PDF" zem grafikas, kuru vēlaties izmantot.Iedzīvotāju sadalījums
Ietekmējošie faktori
Blakusslimības
Ekonomiskā ietekme
Politikas (pieejamas tikai angļu valodā)
Valsts stratēģija attiecībā uz aptaukošanos
Stratēģija uztura vai veselības jomā
Mārketings
Fiziska aktivitāte
Nodokļi/subsīdijas pārtikai vai dzērieniem
Sabiedrības iniciatīvas
Marķējums
NCD stratēģija
Regulations (voluntary/pledges)
Pārvaldības vai apstrādes vadlīnijas
Non-national strategies
Barošana ar krūti
Obesity Target
Lejupielādēt ziņojumu kartīti
Contextual factors
Aptaukošanās izplatība
Pieaugušie, 2016
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 15+ |
Izlases lielums: | 7767 |
Aptvertā 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. |
Piezīmes (pieejamas tikai angļu valodā): | 3105 Men 4662 Women |
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: | 15+ |
Izlases lielums: | 7267 |
Aptvertā teritorija: | Valsts |
Atsauces: | NHANES South Africa http://www.hsrc.ac.za/en/research-outputs/view/6493 |
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, 2003
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 15+ |
Izlases lielums: | 7756 |
Aptvertā 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 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
Apsekojuma veids: | Mērītā vērtība |
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 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, 2012
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 2-14 |
Izlases lielums: | 4278 |
Aptvertā teritorija: | Valsts |
Atsauces: | NHANES South Africa http://www.hsrc.ac.za/en/research-outputs/view/6493 |
Piezīmes (pieejamas tikai angļu valodā): | 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 |
Bērni, 2001-2004
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 6-13 |
Izlases lielums: | 10283 |
Aptvertā 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. |
Piezīmes (pieejamas tikai angļu valodā): | 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 |
% pieaugušo, kas cieš no aptaukošanās, 1998-2016
Vīrieši
Apsekojuma veids: | Mērītā vērtība |
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. |
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. | |
Šo datu apkopošanai, iespējams, ir izmantotas dažādas metodikas, tāpēc dažādu aptauju dati var nebūt precīzi salīdzināmi. Lūdzu, pārbaudiet izmantoto metodiku oriģinālos datu avotos |
Sievietes
Apsekojuma veids: | Mērītā vērtība |
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. |
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. | |
Šo datu apkopošanai, iespējams, ir izmantotas dažādas metodikas, tāpēc dažādu aptauju dati var nebūt precīzi salīdzināmi. Lūdzu, pārbaudiet izmantoto metodiku oriģinālos datu avotos |
% pieaugušo ar lieko svaru vai aptaukošanos, 1998-2016
Vīrieši
Apsekojuma veids: | Mērītā vērtība |
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. |
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. | |
Šo datu apkopošanai, iespējams, ir izmantotas dažādas metodikas, tāpēc dažādu aptauju dati var nebūt precīzi salīdzināmi. Lūdzu, pārbaudiet izmantoto metodiku oriģinālos datu avotos |
Sievietes
Apsekojuma veids: | Mērītā vērtība |
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. |
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. | |
Šo datu apkopošanai, iespējams, ir izmantotas dažādas metodikas, tāpēc dažādu aptauju dati var nebūt precīzi salīdzināmi. Lūdzu, pārbaudiet izmantoto metodiku oriģinālos datu avotos |
Liekais svars/aptaukošanās pēc izglītības
Vīrieši, 2016
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 15+ |
Izlases lielums: | 7767 |
Aptvertā 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. |
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. |
Sievietes, 2016
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 15+ |
Izlases lielums: | 7767 |
Aptvertā 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. |
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. |
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) |
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. |
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) |
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. |
Vīrieši, 1998
Apsekojuma veids: | Mērītā vērtība |
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) |
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. |
Sievietes, 1998
Apsekojuma veids: | Mērītā vērtība |
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) |
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. |
Liekais svars/aptaukošanās pēc vecuma
Pieaugušie, 2016
Apsekojuma veids: | Mērītā vērtība |
Izlases lielums: | 3105 Men4662 Women |
Aptvertā 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. |
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, 2007-2010
Apsekojuma veids: | Mērītā vērtība |
Izlases lielums: | 3836 |
Aptvertā 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. |
Piezīmes (pieejamas tikai angļu valodā): | Prevalence of obesity for adults aged 50+ |
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, 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. |
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
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. |
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. |
Liekais svars/aptaukošanās pēc reģiona
Vīrieši, 2016
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 15+ |
Izlases lielums: | 3105 Men4662 Women |
Aptvertā 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. |
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. |
Sievietes, 2016
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 15+ |
Izlases lielums: | 3105 Men4662 Women |
Aptvertā 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. |
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, 2007-2010
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 50+ |
Izlases lielums: | 3836 |
Aptvertā 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. |
Piezīmes (pieejamas tikai angļu valodā): | Prevalence of obesity for adults aged 50+ |
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. |
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. |
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. |
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. |
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. |
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. |
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. |
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. |
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, 2012
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 2-14 |
Izlases lielums: | 4278 |
Aptvertā 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. |
Piezīmes (pieejamas tikai angļu valodā): | Sample size for all 2-14yrs |
Cutoffs: | IOTF |
Meitenes, 2012
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 2-14 |
Izlases lielums: | 4278 |
Aptvertā 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. |
Piezīmes (pieejamas tikai angļu valodā): | Sample size for all 2-14yrs |
Cutoffs: | IOTF |
Liekais svars/aptaukošanās pēc sociālekonomiskās grupas
Vīrieši, 2016
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 15+ |
Izlases lielums: | 7767 |
Aptvertā 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. |
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. |
Sievietes, 2016
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 15+ |
Izlases lielums: | 7767 |
Aptvertā 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. |
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, 2007-2010
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 50+ |
Izlases lielums: | 3836 |
Aptvertā 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. |
Piezīmes (pieejamas tikai angļu valodā): | 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 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, 2013
Apsekojuma veids: | Mērītā vērtība |
Vecums: | 9 |
Izlases lielums: | 574 |
Aptvertā teritorija: | Reģioni |
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. |
Piezīmes (pieejamas tikai angļu valodā): | NB VERY SMALL SAMPLE SIZE North West Province |
Cutoffs: | IOTF |
Nepietiekamas fiziskās aktivitātes
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
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) |
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, 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. |
Definīcijas (pieejamas tikai angļu valodā): | % of population with depression disorders |
Garīgā veselība – trauksmes problēmas
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. |
Definīcijas (pieejamas tikai angļu valodā): | % of population with anxiety disorders |
% zīdaiņi, kas pirmos 5 mēnešus baroti tikai ar krūti
Bērni, 2005-2020
Aptvertā teritorija: | Valsts |
Atsauces: | South Africa Demographic and Health Survey 2016. Pretoria, South Africa, and Rockville, Maryland, USA: NDoH, Stats SA, SAMRC, and ICF |
Piezīmes (pieejamas tikai angļu valodā): | See UNICEF website for further survey information. Available at : https://data.unicef.org/resources/dataset/infant-young-child-feeding/ (last accessed 28.9.21) Citation: United Nations Children’s Fund, Division of Data, Analysis, Planning and Monitoring (2021). Global UNICEF Global Databases: Infant and Young Child Feeding: Exclusive breastfeeding, New York, September 2021. |
Definīcijas (pieejamas tikai angļu valodā): | % exclusively breastfed 0-5 months |
Barības vada vēzis
Vīrieši, 2020
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 10.01.2325 |
Definīcijas (pieejamas tikai angļu valodā): | Age-standardized indicence rates per 100 000 |
Sievietes, 2020
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 10.01.2325 |
Definīcijas (pieejamas tikai angļu valodā): | Age-standardized indicence rates per 100 000 |
Krūts dziedzera vēzis
Sievietes, 2020
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 10.01.2325 |
Definīcijas (pieejamas tikai angļu valodā): | Age-standardized indicence rates per 100 000 |
Kolorektālais vēzis
Vīrieši, 2020
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 10.01.2325 |
Definīcijas (pieejamas tikai angļu valodā): | Age-standardized indicence rates per 100 000 |
Sievietes, 2020
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 10.01.2325 |
Definīcijas (pieejamas tikai angļu valodā): | Age-standardized indicence rates per 100 000 |
Aizkuņģa dziedzera vēzis
Vīrieši, 2020
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 10.01.2325 |
Definīcijas (pieejamas tikai angļu valodā): | Age-standardized indicence rates per 100 000 |
Sievietes, 2020
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 10.01.2325 |
Definīcijas (pieejamas tikai angļu valodā): | Age-standardized indicence rates per 100 000 |
Žultspūšļa vēzis
Vīrieši, 2020
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 10.01.2325 |
Definīcijas (pieejamas tikai angļu valodā): | Age-standardized indicence rates per 100 000 |
Sievietes, 2020
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 10.01.2325 |
Definīcijas (pieejamas tikai angļu valodā): | Age-standardized indicence rates per 100 000 |
Nieru vēzis
Vīrieši, 2020
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 10.01.2325 |
Definīcijas (pieejamas tikai angļu valodā): | Age-standardized indicence rates per 100 000 |
Sievietes, 2020
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 10.01.2325 |
Definīcijas (pieejamas tikai angļu valodā): | Age-standardized indicence rates per 100 000 |
Dzemdes vēzis
Sievietes, 2020
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 10.01.2325 |
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, 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 (%). |
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? | Present |
Evidence-based dietary guidelines and/or RDAs? | Present |
National target(s) on reducing obesity? | Present |
Guidelines/policy on obesity treatment? | Absent |
Promotion of breastfeeding? | Absent |
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 September 13, 2022
Download contextual factors as a PDF Contextual factors definitions