Jižní Afrika
- Přehled
- Prevalence obezity
- Trendy v průběhu času
- Rozdělení populace
- Faktory
- Komorbidity
- Ekonomický dopad
- Zásady (k dispozici pouze v angličtině)
- Contextual factors
Načítání dat – čekejte prosím
Riziko národní obezity *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.Riziko d?tské obezity *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).
Prevalence obezity
Trendy v průběhu času
Stáhnout zprávu
Zpráva shrnuje nejnovější grafiku pro tuto zemi. Pokud chcete vytvořit vlastní zprávu na základě vybrané grafiky, jednoduše klepněte na tlačítko Přidat do vlastního PDF pod grafikou, kterou chcete použít.Rozdělení populace
Faktory
Komorbidity
Ekonomický dopad
Zásady (k dispozici pouze v angličtině)
Národní strategie proti obezitě
Strategie výživy nebo zdraví
Marketing
Fyzická aktivita
Daně/dotace na potraviny nebo nápoje
Intervence v komunitě
Označení
Strategie boje proti nepřenosným nemocem
Regulations (voluntary/pledges)
Changed to reflect the meaning of management of a medical condition
Non-national strategies
Kojení
Obesity Target
Stáhnout zprávu
Contextual factors
Prevalence obezity
Dospělí, 2016
Typ průzkumu: | Naměřené |
Věk: | 15+ |
Velikost vzorku: | 7767 |
Pokrytá oblast: | Národní |
Reference: | 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. |
Poznámky: | 3105 Men 4662 Women |
Pokud není uvedeno jinak, nadváha znamená BMI mezi 25 a 29,9 kg/m², obezita znamená BMI vyšší než 30 kg/m². |
Dospělí, 2012
Typ průzkumu: | Naměřené |
Věk: | 15+ |
Velikost vzorku: | 7267 |
Pokrytá oblast: | Národní |
Reference: | NHANES South Africa http://www.hsrc.ac.za/en/research-outputs/view/6493 |
Pokud není uvedeno jinak, nadváha znamená BMI mezi 25 a 29,9 kg/m², obezita znamená BMI vyšší než 30 kg/m². |
Dospělí, 2003
Typ průzkumu: | Naměřené |
Věk: | 15+ |
Velikost vzorku: | 7756 |
Pokrytá oblast: | Národní |
Reference: | Department of Health, Medical Research Council, ORC Macro. 2007. South Africa Demographic and Health Survey 2003. Pretoria, South Africa: Department of Health/South Africa. |
Pokud není uvedeno jinak, nadváha znamená BMI mezi 25 a 29,9 kg/m², obezita znamená BMI vyšší než 30 kg/m². |
Dospělí, 1998
Typ průzkumu: | Naměřené |
Věk: | 15+ |
Velikost vzorku: | 13585 |
Reference: | Department of Health/South Africa and Macro International. 2002. South Africa Demographic and Health Survey 1998. Pretoria, South Africa: Department of Health/South Africa. |
Pokud není uvedeno jinak, nadváha znamená BMI mezi 25 a 29,9 kg/m², obezita znamená BMI vyšší než 30 kg/m². |
Děti, 2012
Typ průzkumu: | Naměřené |
Věk: | 2-14 |
Velikost vzorku: | 4278 |
Pokrytá oblast: | Národní |
Reference: | NHANES South Africa http://www.hsrc.ac.za/en/research-outputs/view/6493 |
Poznámky: | 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 |
Děti, 2001-2004
Typ průzkumu: | Naměřené |
Věk: | 6-13 |
Velikost vzorku: | 10283 |
Pokrytá oblast: | Národní |
Reference: | 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. |
Poznámky: | 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 |
Infants, 2017
Věk: | 0-5 |
Velikost vzorku: | 4638254 |
Reference: | Other: South Africa National Income Dynamics Study 2017, Wave 5 |
Poznámky: | 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. |
Definice (k dispozici pouze v angličtině): | =>+2SD |
Infants, 2016
Věk: | 0-5 |
Velikost vzorku: | 1384 |
Reference: | DHS: South Africa Demographic and Health Survey 2016. Pretoria, South Africa, and Rockville, Maryland, USA: NDoH, Stats SA, SAMRC, and ICF |
Poznámky: | 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. |
Definice (k dispozici pouze v angličtině): | =>+2SD |
Infants, 2014-2015
Věk: | 0-5 |
Velikost vzorku: | 4977516 |
Reference: | Other: South Africa National Income Dynamics Study 2014-15, Wave 4 |
Poznámky: | 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. |
Definice (k dispozici pouze v angličtině): | =>+2SD |
Infants, 2008
Věk: | 0-5 |
Velikost vzorku: | 2783978 |
Reference: | Other: South Africa 2008 National Income Dynamics Survey |
Poznámky: | 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. |
Definice (k dispozici pouze v angličtině): | =>+2SD |
Infants, 1999
Věk: | 0-5 |
Velikost vzorku: | 1556 |
Reference: | Other: The National Food Consumption Survey (NFCS): South Africa, 1999. Public Health Nutrition 2005;8:533-43 |
Poznámky: | 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. |
Definice (k dispozici pouze v angličtině): | =>+2SD |
Infants, 1994-1995
Věk: | 0-5 |
Velikost vzorku: | 9807 |
Reference: | Other: Children aged 6 to 71 months in South Africa, 1994: their anthropometric, vitamin A, iron and immunisation coverage status. Johannesburg, South Africa, 1995 |
Poznámky: | 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. |
Definice (k dispozici pouze v angličtině): | =>+2SD |
% Adults living with obesity in South Africa 1998-2016
Muži
Typ průzkumu: | Naměřené |
Reference: | 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. |
Pokud není uvedeno jinak, nadváha znamená BMI mezi 25 a 29,9 kg/m², obezita znamená BMI vyšší než 30 kg/m². | |
Ke shromažďování těchto údajů mohly být použity různé metodiky, a proto nemusí být údaje z různých průzkumů vždy plně srovnatelné. Použité metodiky viz původní zdroje údajů |
Ženy
Typ průzkumu: | Naměřené |
Reference: | 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. |
Pokud není uvedeno jinak, nadváha znamená BMI mezi 25 a 29,9 kg/m², obezita znamená BMI vyšší než 30 kg/m². | |
Ke shromažďování těchto údajů mohly být použity různé metodiky, a proto nemusí být údaje z různých průzkumů vždy plně srovnatelné. Použité metodiky viz původní zdroje údajů |
% Adults living with overweight or obesity in South Africa 1998-2016
Muži
Typ průzkumu: | Naměřené |
Reference: | 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. |
Pokud není uvedeno jinak, nadváha znamená BMI mezi 25 a 29,9 kg/m², obezita znamená BMI vyšší než 30 kg/m². | |
Ke shromažďování těchto údajů mohly být použity různé metodiky, a proto nemusí být údaje z různých průzkumů vždy plně srovnatelné. Použité metodiky viz původní zdroje údajů |
Ženy
Typ průzkumu: | Naměřené |
Reference: | 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. |
Pokud není uvedeno jinak, nadváha znamená BMI mezi 25 a 29,9 kg/m², obezita znamená BMI vyšší než 30 kg/m². | |
Ke shromažďování těchto údajů mohly být použity různé metodiky, a proto nemusí být údaje z různých průzkumů vždy plně srovnatelné. Použité metodiky viz původní zdroje údajů |
Nadváha/obezita podle vzd?lání
Muži, 2016
Typ pr?zkumu: | Nam??ené |
V?k: | 15+ |
Velikost vzorku: | 7767 |
Pokrytá oblast: | Národní |
Reference: | 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. |
Poznámky: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Pokud není uvedeno jinak, nadváha znamená BMI mezi 25 a 29,9 kg/m², obezita znamená BMI vyšší než 30 kg/m². |
Ženy, 2016
Typ pr?zkumu: | Nam??ené |
V?k: | 15+ |
Velikost vzorku: | 7767 |
Pokrytá oblast: | Národní |
Reference: | 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. |
Poznámky: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Pokud není uvedeno jinak, nadváha znamená BMI mezi 25 a 29,9 kg/m², obezita znamená BMI vyšší než 30 kg/m². |
Muži, 2003
Typ pr?zkumu: | Samonahlášený |
V?k: | 15+ |
Reference: | 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) |
Poznámky: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Pokud není uvedeno jinak, nadváha znamená BMI mezi 25 a 29,9 kg/m², obezita znamená BMI vyšší než 30 kg/m². |
Ženy, 2003
Typ pr?zkumu: | Samonahlášený |
V?k: | 15+ |
Reference: | 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) |
Poznámky: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Pokud není uvedeno jinak, nadváha znamená BMI mezi 25 a 29,9 kg/m², obezita znamená BMI vyšší než 30 kg/m². |
Muži, 1998
Typ pr?zkumu: | Nam??ené |
V?k: | 15+ |
Reference: | 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) |
Poznámky: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Pokud není uvedeno jinak, nadváha znamená BMI mezi 25 a 29,9 kg/m², obezita znamená BMI vyšší než 30 kg/m². |
Ženy, 1998
Typ pr?zkumu: | Nam??ené |
V?k: | 15+ |
Reference: | 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) |
Poznámky: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Pokud není uvedeno jinak, nadváha znamená BMI mezi 25 a 29,9 kg/m², obezita znamená BMI vyšší než 30 kg/m². |
Infants, 2016
Velikost vzorku: | 1384 |
Reference: | DHS: South Africa Demographic and Health Survey 2016. Pretoria, South Africa, and Rockville, Maryland, USA: NDoH, Stats SA, SAMRC, and ICF |
Poznámky: | 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. |
Definice (k dispozici pouze v angli?tin?): | =>+2SD |
Nadváha/obezita podle v?ku
Dosp?lí, 2016
Typ pr?zkumu: | Nam??ené |
Velikost vzorku: | 3105 Men4662 Women |
Pokrytá oblast: | Národní |
Reference: | 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. |
Poznámky: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Pokud není uvedeno jinak, nadváha znamená BMI mezi 25 a 29,9 kg/m², obezita znamená BMI vyšší než 30 kg/m². |
Dosp?lí, 2007-2010
Typ pr?zkumu: | Nam??ené |
Velikost vzorku: | 3836 |
Pokrytá oblast: | Národní |
Reference: | 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. |
Poznámky: | Prevalence of obesity for adults aged 50+ |
Pokud není uvedeno jinak, nadváha znamená BMI mezi 25 a 29,9 kg/m², obezita znamená BMI vyšší než 30 kg/m². |
Dosp?lí, 2003
Typ pr?zkumu: | Samonahlášený |
Reference: | Department of Health, Medical Research Council, ORC Macro. 2007. South Africa Demographic and Health Survey 2003. Pretoria, South Africa: Department of Health/South Africa. |
Poznámky: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Pokud není uvedeno jinak, nadváha znamená BMI mezi 25 a 29,9 kg/m², obezita znamená BMI vyšší než 30 kg/m². |
Dosp?lí, 1998
Typ pr?zkumu: | Samonahlášený |
Reference: | Department of Health/South Africa and Macro International. 2002. South Africa Demographic and Health Survey 1998. Pretoria, South Africa: Department of Health/South Africa. |
Poznámky: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Pokud není uvedeno jinak, nadváha znamená BMI mezi 25 a 29,9 kg/m², obezita znamená BMI vyšší než 30 kg/m². |
Nadváha/obezita podle regionu
Muži, 2016
Typ pr?zkumu: | Nam??ené |
V?k: | 15+ |
Velikost vzorku: | 3105 Men4662 Women |
Pokrytá oblast: | Národní |
Reference: | 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. |
Poznámky: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Pokud není uvedeno jinak, nadváha znamená BMI mezi 25 a 29,9 kg/m², obezita znamená BMI vyšší než 30 kg/m². |
Ženy, 2016
Typ pr?zkumu: | Nam??ené |
V?k: | 15+ |
Velikost vzorku: | 3105 Men4662 Women |
Pokrytá oblast: | Národní |
Reference: | 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. |
Poznámky: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Pokud není uvedeno jinak, nadváha znamená BMI mezi 25 a 29,9 kg/m², obezita znamená BMI vyšší než 30 kg/m². |
Dosp?lí, 2007-2010
Typ pr?zkumu: | Nam??ené |
V?k: | 50+ |
Velikost vzorku: | 3836 |
Pokrytá oblast: | Národní |
Reference: | 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. |
Poznámky: | Prevalence of obesity for adults aged 50+ |
Pokud není uvedeno jinak, nadváha znamená BMI mezi 25 a 29,9 kg/m², obezita znamená BMI vyšší než 30 kg/m². |
Muži, 2003
Typ pr?zkumu: | Samonahlášený |
V?k: | 15+ |
Reference: | Department of Health, Medical Research Council, ORC Macro. 2007. South Africa Demographic and Health Survey 2003. Pretoria, South Africa: Department of Health/South Africa. |
Poznámky: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Pokud není uvedeno jinak, nadváha znamená BMI mezi 25 a 29,9 kg/m², obezita znamená BMI vyšší než 30 kg/m². |
Ženy, 2003
Typ pr?zkumu: | Samonahlášený |
V?k: | 15+ |
Reference: | Department of Health, Medical Research Council, ORC Macro. 2007. South Africa Demographic and Health Survey 2003. Pretoria, South Africa: Department of Health/South Africa. |
Poznámky: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Pokud není uvedeno jinak, nadváha znamená BMI mezi 25 a 29,9 kg/m², obezita znamená BMI vyšší než 30 kg/m². |
Muži, 1998
Typ pr?zkumu: | Samonahlášený |
V?k: | 15+ |
Reference: | Department of Health/South Africa and Macro International. 2002. South Africa Demographic and Health Survey 1998. Pretoria, South Africa: Department of Health/South Africa. |
Poznámky: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Pokud není uvedeno jinak, nadváha znamená BMI mezi 25 a 29,9 kg/m², obezita znamená BMI vyšší než 30 kg/m². |
Ženy, 1998
Typ pr?zkumu: | Samonahlášený |
V?k: | 15+ |
Reference: | Department of Health/South Africa and Macro International. 2002. South Africa Demographic and Health Survey 1998. Pretoria, South Africa: Department of Health/South Africa. |
Poznámky: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Pokud není uvedeno jinak, nadváha znamená BMI mezi 25 a 29,9 kg/m², obezita znamená BMI vyšší než 30 kg/m². |
Chlapci, 2012
Typ pr?zkumu: | Nam??ené |
V?k: | 2-14 |
Velikost vzorku: | 4278 |
Pokrytá oblast: | Národní |
Reference: | 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. |
Poznámky: | Sample size for all 2-14yrs |
Cutoffs: | IOTF |
Dívky, 2012
Typ pr?zkumu: | Nam??ené |
V?k: | 2-14 |
Velikost vzorku: | 4278 |
Pokrytá oblast: | Národní |
Reference: | 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. |
Poznámky: | Sample size for all 2-14yrs |
Cutoffs: | IOTF |
Infants, 2017
Velikost vzorku: | 4638254 |
Reference: | Other: South Africa National Income Dynamics Study 2017, Wave 5 |
Poznámky: | 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. |
Definice (k dispozici pouze v angli?tin?): | =>+2SD |
Infants, 2016
Velikost vzorku: | 1384 |
Reference: | DHS: South Africa Demographic and Health Survey 2016. Pretoria, South Africa, and Rockville, Maryland, USA: NDoH, Stats SA, SAMRC, and ICF |
Poznámky: | 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. |
Definice (k dispozici pouze v angli?tin?): | =>+2SD |
Infants, 2014-2015
Velikost vzorku: | 4977516 |
Reference: | Other: South Africa National Income Dynamics Study 2014-15, Wave 4 |
Poznámky: | 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. |
Definice (k dispozici pouze v angli?tin?): | =>+2SD |
Infants, 2008
Velikost vzorku: | 2783978 |
Reference: | Other: South Africa 2008 National Income Dynamics Survey |
Poznámky: | 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. |
Definice (k dispozici pouze v angli?tin?): | =>+2SD |
Nadváha/obezita podle sociáln?-ekonomické skupiny
Muži, 2016
Typ pr?zkumu: | Nam??ené |
V?k: | 15+ |
Velikost vzorku: | 7767 |
Pokrytá oblast: | Národní |
Reference: | 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. |
Poznámky: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Pokud není uvedeno jinak, nadváha znamená BMI mezi 25 a 29,9 kg/m², obezita znamená BMI vyšší než 30 kg/m². |
Ženy, 2016
Typ pr?zkumu: | Nam??ené |
V?k: | 15+ |
Velikost vzorku: | 7767 |
Pokrytá oblast: | Národní |
Reference: | 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. |
Poznámky: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Pokud není uvedeno jinak, nadváha znamená BMI mezi 25 a 29,9 kg/m², obezita znamená BMI vyšší než 30 kg/m². |
Dosp?lí, 2007-2010
Typ pr?zkumu: | Nam??ené |
V?k: | 50+ |
Velikost vzorku: | 3836 |
Pokrytá oblast: | Národní |
Reference: | 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. |
Poznámky: | 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. |
Pokud není uvedeno jinak, nadváha znamená BMI mezi 25 a 29,9 kg/m², obezita znamená BMI vyšší než 30 kg/m². |
D?ti, 2013
Typ pr?zkumu: | Nam??ené |
V?k: | 9 |
Velikost vzorku: | 574 |
Pokrytá oblast: | Regionální |
Reference: | 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. |
Poznámky: | NB VERY SMALL SAMPLE SIZE North West Province |
Cutoffs: | IOTF |
Infants, 2016
Velikost vzorku: | 1384 |
Reference: | DHS: South Africa Demographic and Health Survey 2016. Pretoria, South Africa, and Rockville, Maryland, USA: NDoH, Stats SA, SAMRC, and ICF |
Poznámky: | 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. |
Definice (k dispozici pouze v angli?tin?): | =>+2SD |
Infants, 2008
Velikost vzorku: | 2783978 |
Reference: | Other: South Africa 2008 National Income Dynamics Survey |
Poznámky: | 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. |
Definice (k dispozici pouze v angli?tin?): | =>+2SD |
Nedostate?ná fyzická aktivita
Dosp?lí, 2016
Reference: | 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 |
Muži, 2016
Reference: | 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 |
Ženy, 2016
Reference: | 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
Dosp?lí, 2017
Typ pr?zkumu: | Nam??ené |
V?k: | 25+ |
Reference: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
Definice (k dispozici pouze v angli?tin?): | Estimated per-capita fruit intake (g/day) |
Odhadovaný p?íjem zpracovaného masa na osobu
Dosp?lí, 2017
Typ pr?zkumu: | Nam??ené |
V?k: | 25+ |
Reference: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
Definice (k dispozici pouze v angli?tin?): | Estimated per-capita processed meat intake (g per day) |
Estimated per capita whole grains intake
Dosp?lí, 2017
Typ pr?zkumu: | Nam??ené |
V?k: | 25+ |
Reference: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
Definice (k dispozici pouze v angli?tin?): | Estimated per-capita whole grains intake (g/day) |
Duševní zdraví – stavy deprese
Dosp?lí, 2015
Reference: | 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. |
Definice (k dispozici pouze v angli?tin?): | % of population with depression disorders |
Duševní zdraví – stavy úzkosti
Dosp?lí, 2015
Reference: | 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. |
Definice (k dispozici pouze v angli?tin?): | % of population with anxiety disorders |
% výhradn? kojených d?tí 0–?5 m?síc?
D?ti, 2005-2020
Pokrytá oblast: | Národní |
Reference: | South Africa Demographic and Health Survey 2016. Pretoria, South Africa, and Rockville, Maryland, USA: NDoH, Stats SA, SAMRC, and ICF |
Poznámky: | 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. |
Definice (k dispozici pouze v angli?tin?): | % exclusively breastfed 0-5 months |
Rakovina jícnu
Muži, 2020
V?k: | 20+ |
Pokrytá oblast: | Národní |
Reference: | 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 |
Definice (k dispozici pouze v angli?tin?): | Age-standardized indicence rates per 100 000 |
Ženy, 2020
V?k: | 20+ |
Pokrytá oblast: | Národní |
Reference: | 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 |
Definice (k dispozici pouze v angli?tin?): | Age-standardized indicence rates per 100 000 |
Rakovina prsu
Ženy, 2020
V?k: | 20+ |
Pokrytá oblast: | Národní |
Reference: | 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 |
Definice (k dispozici pouze v angli?tin?): | Age-standardized indicence rates per 100 000 |
Rakovina tlustého st?eva a kone?níku
Muži, 2020
V?k: | 20+ |
Pokrytá oblast: | Národní |
Reference: | 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 |
Definice (k dispozici pouze v angli?tin?): | Age-standardized indicence rates per 100 000 |
Ženy, 2020
V?k: | 20+ |
Pokrytá oblast: | Národní |
Reference: | 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 |
Definice (k dispozici pouze v angli?tin?): | Age-standardized indicence rates per 100 000 |
Rakovina slinivky b?išní
Muži, 2020
V?k: | 20+ |
Pokrytá oblast: | Národní |
Reference: | 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 |
Definice (k dispozici pouze v angli?tin?): | Age-standardized indicence rates per 100 000 |
Ženy, 2020
V?k: | 20+ |
Pokrytá oblast: | Národní |
Reference: | 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 |
Definice (k dispozici pouze v angli?tin?): | Age-standardized indicence rates per 100 000 |
Rakovina žlu?níku
Muži, 2020
V?k: | 20+ |
Pokrytá oblast: | Národní |
Reference: | 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 |
Definice (k dispozici pouze v angli?tin?): | Age-standardized indicence rates per 100 000 |
Ženy, 2020
V?k: | 20+ |
Pokrytá oblast: | Národní |
Reference: | 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 |
Definice (k dispozici pouze v angli?tin?): | Age-standardized indicence rates per 100 000 |
Rakovina ledvin
Muži, 2020
V?k: | 20+ |
Pokrytá oblast: | Národní |
Reference: | 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 |
Definice (k dispozici pouze v angli?tin?): | Age-standardized indicence rates per 100 000 |
Ženy, 2020
V?k: | 20+ |
Pokrytá oblast: | Národní |
Reference: | 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 |
Definice (k dispozici pouze v angli?tin?): | Age-standardized indicence rates per 100 000 |
Rakovina d?lohy
Ženy, 2020
V?k: | 20+ |
Pokrytá oblast: | Národní |
Reference: | 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 |
Definice (k dispozici pouze v angli?tin?): | Age-standardized indicence rates per 100 000 |
Zvýšený krevní tlak
Dosp?lí, 2015
Reference: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A875?lang=en |
Definice (k dispozici pouze v angli?tin?): | Age Standardised estimated % Raised blood pressure 2015 (SBP>=140 OR DBP>=90). |
Muži, 2015
Reference: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A875?lang=en |
Definice (k dispozici pouze v angli?tin?): | Age Standardised estimated % Raised blood pressure 2015 (SBP>=140 OR DBP>=90). |
Ženy, 2015
Reference: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A875?lang=en |
Definice (k dispozici pouze v angli?tin?): | Age Standardised estimated % Raised blood pressure 2015 (SBP>=140 OR DBP>=90). |
Zvýšený cholesterol
Dosp?lí, 2008
Reference: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A885 |
Definice (k dispozici pouze v angli?tin?): | % Raised total cholesterol (>= 5.0 mmol/L) (age-standardized estimate). |
Muži, 2008
Reference: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A885 |
Definice (k dispozici pouze v angli?tin?): | % Raised total cholesterol (>= 5.0 mmol/L) (age-standardized estimate). |
Ženy, 2008
Reference: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A885 |
Definice (k dispozici pouze v angli?tin?): | % Raised total cholesterol (>= 5.0 mmol/L) (age-standardized estimate). |
Zvýšená hladina glukózy v krvi nala?no
Muži, 2014
Reference: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A869?lang=en |
Definice (k dispozici pouze v angli?tin?): | Age Standardised % raised fasting blood glucose (>= 7.0 mmol/L or on medication). |
Ženy, 2014
Reference: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A869?lang=en |
Definice (k dispozici pouze v angli?tin?): | Age Standardised % raised fasting blood glucose (>= 7.0 mmol/L or on medication). |
Prevalence diabetu
Dosp?lí, 2021
V?k: | 20-79 |
Pokrytá oblast: | Národní |
Reference: | Reproduced with kind permission International Diabetes Federation. IDF Diabetes Atlas, 10th edn. Brussels, Belgium:International Diabetes Federation, 2021. http://www.diabetesatlas.org |
Definice (k dispozici pouze v angli?tin?): | Age-adjusted comparative prevalence of diabetes, % |
Dosp?lí, 2019
V?k: | 20-79 |
Reference: | Reproduced with kind permission International Diabetes Federation. IDF Diabetes Atlas, 9th edn. Brussels,Belgium: 2019. Available at: https://www.diabetesatlas.org |
Definice (k dispozici pouze v angli?tin?): | Diabetes age-adjusted comparative prevalence (%). |
Dosp?lí, 2017
Reference: | Reproduced with kind permission of IDF, International Diabetes Federation. IDF Diabetes Atlas, 8th edition. Brussels, Belgium: International Diabetes Federation, 2017. http://www.diabetesatlas.org |
Definice (k dispozici pouze v angli?tin?): | 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