Sydafrika
Upper-middle income
- Översikt
- Förekomst av fetma
- Trender över tid
- Befolkningsfördelningar
- Drivande faktorer
- Komorbiditeter
- Ekonomisk påverkan
- Policyer (endast tillgängliga på engelska)
- Contextual factors
Report cards
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Befolkningsfördelningar
Drivande faktorer
Komorbiditeter
Esofageal cancer
Bröstcancer
Kolorektalcancer
Pankreascancer
Gallblåsecancer
Njurcancer
Livmoderhalscancer
Förhöjt blodtryck
Förhöjt kolesterol
Förhöjt fastande blodglukos
Förekomst av diabetes
Ovarian Cancer
Leukemia
Liver & bile duct cancer
Mulitple Myeloma
Non Hodgkin Lymphoma
Thyroid Cancer
Ladda ner rapportkort
Ekonomisk påverkan
Policyer (endast tillgängliga på engelska)
Nationell fetmastrategi
Närings- eller hälsostrategi
Marknadsföring
Fysisk aktivitet
Skatt/subventioner på livsmedel och drycker
Samhällsinterventioner
Transnationella fetmastrategier
Märkning
NCD-strategi
Regulations (voluntary/pledges)
Riktlinjer för hantering eller behandling
Non-national strategies
Amning
Obesity Target
Ladda ner rapportkort
Contextual factors
Förekomst av fetma
Vuxna, 2021-2022
Undersökningstyp: | Uppmätt |
Ålder: | 18+ |
Urvalsstorlek: | 30136 |
Område som omfattas: | Nationell |
Referenser: | 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. |
Anteckningar: | 10099 men and 19982 women |
Om inte annat anges avser övervikt ett BMI mellan 25 kg och 29,9 kg/m², fetma avser ett BMI högre än 30 kg/m². |
Vuxna, 2016
Undersökningstyp: | Uppmätt |
Ålder: | 15+ |
Urvalsstorlek: | 7767 |
Område som omfattas: | Nationell |
Referenser: | 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. |
Anteckningar: | 3105 Men 4662 Women |
Om inte annat anges avser övervikt ett BMI mellan 25 kg och 29,9 kg/m², fetma avser ett BMI högre än 30 kg/m². |
Vuxna, 2012
Undersökningstyp: | Uppmätt |
Ålder: | 15+ |
Urvalsstorlek: | 7267 |
Område som omfattas: | Nationell |
Referenser: | NHANES South Africa http://www.hsrc.ac.za/en/research-outputs/view/6493 |
Om inte annat anges avser övervikt ett BMI mellan 25 kg och 29,9 kg/m², fetma avser ett BMI högre än 30 kg/m². |
Vuxna, 2003
Undersökningstyp: | Uppmätt |
Ålder: | 15+ |
Urvalsstorlek: | 7756 |
Område som omfattas: | Nationell |
Referenser: | Department of Health, Medical Research Council, ORC Macro. 2007. South Africa Demographic and Health Survey 2003. Pretoria, South Africa: Department of Health/South Africa. |
Om inte annat anges avser övervikt ett BMI mellan 25 kg och 29,9 kg/m², fetma avser ett BMI högre än 30 kg/m². |
Vuxna, 1998
Undersökningstyp: | Uppmätt |
Ålder: | 15+ |
Urvalsstorlek: | 13585 |
Referenser: | Department of Health/South Africa and Macro International. 2002. South Africa Demographic and Health Survey 1998. Pretoria, South Africa: Department of Health/South Africa. |
Om inte annat anges avser övervikt ett BMI mellan 25 kg och 29,9 kg/m², fetma avser ett BMI högre än 30 kg/m². |
Barn, 2012
Undersökningstyp: | Uppmätt |
Ålder: | 2-14 |
Urvalsstorlek: | 4278 |
Område som omfattas: | Nationell |
Referenser: | NHANES South Africa http://www.hsrc.ac.za/en/research-outputs/view/6493 |
Anteckningar: | 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 |
Barn, 2001-2004
Undersökningstyp: | Uppmätt |
Ålder: | 6-13 |
Urvalsstorlek: | 10283 |
Område som omfattas: | Nationell |
Referenser: | 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. |
Anteckningar: | 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
Ålder: | 0-5 |
Urvalsstorlek: | 4638254 |
Referenser: | Other: South Africa National Income Dynamics Study 2017, Wave 5 |
Anteckningar: | 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. |
Definitioner (endast tillgängliga på engelska): | =>+2SD |
0-5 years, 2016
Ålder: | 0-5 |
Urvalsstorlek: | 1384 |
Referenser: | DHS: South Africa Demographic and Health Survey 2016. Pretoria, South Africa, and Rockville, Maryland, USA: NDoH, Stats SA, SAMRC, and ICF |
Anteckningar: | 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. |
Definitioner (endast tillgängliga på engelska): | =>+2SD |
0-5 years, 2014-2015
Ålder: | 0-5 |
Urvalsstorlek: | 4977516 |
Referenser: | Other: South Africa National Income Dynamics Study 2014-15, Wave 4 |
Anteckningar: | 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. |
Definitioner (endast tillgängliga på engelska): | =>+2SD |
0-5 years, 2008
Ålder: | 0-5 |
Urvalsstorlek: | 2783978 |
Referenser: | Other: South Africa 2008 National Income Dynamics Survey |
Anteckningar: | 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. |
Definitioner (endast tillgängliga på engelska): | =>+2SD |
0-5 years, 1999
Ålder: | 0-5 |
Urvalsstorlek: | 1556 |
Referenser: | Other: The National Food Consumption Survey (NFCS): South Africa, 1999. Public Health Nutrition 2005;8:533-43 |
Anteckningar: | 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. |
Definitioner (endast tillgängliga på engelska): | =>+2SD |
0-5 years, 1994-1995
Ålder: | 0-5 |
Urvalsstorlek: | 9807 |
Referenser: | Other: Children aged 6 to 71 months in South Africa, 1994: their anthropometric, vitamin A, iron and immunisation coverage status. Johannesburg, South Africa, 1995 |
Anteckningar: | 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. |
Definitioner (endast tillgängliga på engelska): | =>+2SD |
% Adults living with obesity in South Africa 1998-2016
Män
Undersökningstyp: | Uppmätt |
Referenser: | 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. |
Om inte annat anges avser övervikt ett BMI mellan 25 kg och 29,9 kg/m², fetma avser ett BMI högre än 30 kg/m². | |
Olika metoder kan ha använts för att samla in dessa uppgifter och data från olika undersökningar kanske inte är strikt jämförbara. Kontrollera de ursprungliga datakällorna för metoderna som användes |
Kvinnor
Undersökningstyp: | Uppmätt |
Referenser: | 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. |
Om inte annat anges avser övervikt ett BMI mellan 25 kg och 29,9 kg/m², fetma avser ett BMI högre än 30 kg/m². | |
Olika metoder kan ha använts för att samla in dessa uppgifter och data från olika undersökningar kanske inte är strikt jämförbara. Kontrollera de ursprungliga datakällorna för metoderna som användes |
% Adults living with overweight or obesity in South Africa 1998-2016
Män
Undersökningstyp: | Uppmätt |
Referenser: | 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. |
Om inte annat anges avser övervikt ett BMI mellan 25 kg och 29,9 kg/m², fetma avser ett BMI högre än 30 kg/m². | |
Olika metoder kan ha använts för att samla in dessa uppgifter och data från olika undersökningar kanske inte är strikt jämförbara. Kontrollera de ursprungliga datakällorna för metoderna som användes |
Kvinnor
Undersökningstyp: | Uppmätt |
Referenser: | 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. |
Om inte annat anges avser övervikt ett BMI mellan 25 kg och 29,9 kg/m², fetma avser ett BMI högre än 30 kg/m². | |
Olika metoder kan ha använts för att samla in dessa uppgifter och data från olika undersökningar kanske inte är strikt jämförbara. Kontrollera de ursprungliga datakällorna för metoderna som användes |
Övervikt/fetma efter ålder och utbildning
Män, 2016
Undersökningstyp: | Uppmätt |
Ålder: | 15+ |
Urvalsstorlek: | 7767 |
Område som omfattas: | Nationell |
Referenser: | 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. |
Anteckningar: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Om inte annat anges avser övervikt ett BMI mellan 25 kg och 29,9 kg/m², fetma avser ett BMI högre än 30 kg/m². |
Kvinnor, 2016
Undersökningstyp: | Uppmätt |
Ålder: | 15+ |
Urvalsstorlek: | 7767 |
Område som omfattas: | Nationell |
Referenser: | 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. |
Anteckningar: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Om inte annat anges avser övervikt ett BMI mellan 25 kg och 29,9 kg/m², fetma avser ett BMI högre än 30 kg/m². |
Män, 2003
Undersökningstyp: | Egenanställd |
Ålder: | 15+ |
Referenser: | 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) |
Anteckningar: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Om inte annat anges avser övervikt ett BMI mellan 25 kg och 29,9 kg/m², fetma avser ett BMI högre än 30 kg/m². |
Kvinnor, 2003
Undersökningstyp: | Egenanställd |
Ålder: | 15+ |
Referenser: | 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) |
Anteckningar: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Om inte annat anges avser övervikt ett BMI mellan 25 kg och 29,9 kg/m², fetma avser ett BMI högre än 30 kg/m². |
Män, 1998
Undersökningstyp: | Uppmätt |
Ålder: | 15+ |
Referenser: | 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) |
Anteckningar: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Om inte annat anges avser övervikt ett BMI mellan 25 kg och 29,9 kg/m², fetma avser ett BMI högre än 30 kg/m². |
Kvinnor, 1998
Undersökningstyp: | Uppmätt |
Ålder: | 15+ |
Referenser: | 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) |
Anteckningar: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Om inte annat anges avser övervikt ett BMI mellan 25 kg och 29,9 kg/m², fetma avser ett BMI högre än 30 kg/m². |
0-5 years, 2016
Urvalsstorlek: | 1384 |
Referenser: | DHS: South Africa Demographic and Health Survey 2016. Pretoria, South Africa, and Rockville, Maryland, USA: NDoH, Stats SA, SAMRC, and ICF |
Anteckningar: | 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. |
Definitioner (endast tillgängliga på engelska): | =>+2SD |
Övervikt/fetma efter ålder
Vuxna, 2021-2022
Undersökningstyp: | Uppmätt |
Urvalsstorlek: | 30136 |
Område som omfattas: | Nationell |
Referenser: | 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. |
Anteckningar: | 10099 men and 19982 women |
Om inte annat anges avser övervikt ett BMI mellan 25 kg och 29,9 kg/m², fetma avser ett BMI högre än 30 kg/m². |
Vuxna, 2016
Undersökningstyp: | Uppmätt |
Urvalsstorlek: | 3105 Men4662 Women |
Område som omfattas: | Nationell |
Referenser: | 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. |
Anteckningar: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Om inte annat anges avser övervikt ett BMI mellan 25 kg och 29,9 kg/m², fetma avser ett BMI högre än 30 kg/m². |
Vuxna, 2007-2010
Undersökningstyp: | Uppmätt |
Urvalsstorlek: | 3836 |
Område som omfattas: | Nationell |
Referenser: | 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. |
Anteckningar: | Prevalence of obesity for adults aged 50+ |
Om inte annat anges avser övervikt ett BMI mellan 25 kg och 29,9 kg/m², fetma avser ett BMI högre än 30 kg/m². |
Vuxna, 2003
Undersökningstyp: | Egenanställd |
Referenser: | Department of Health, Medical Research Council, ORC Macro. 2007. South Africa Demographic and Health Survey 2003. Pretoria, South Africa: Department of Health/South Africa. |
Anteckningar: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Om inte annat anges avser övervikt ett BMI mellan 25 kg och 29,9 kg/m², fetma avser ett BMI högre än 30 kg/m². |
Vuxna, 1998
Undersökningstyp: | Egenanställd |
Referenser: | Department of Health/South Africa and Macro International. 2002. South Africa Demographic and Health Survey 1998. Pretoria, South Africa: Department of Health/South Africa. |
Anteckningar: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Om inte annat anges avser övervikt ett BMI mellan 25 kg och 29,9 kg/m², fetma avser ett BMI högre än 30 kg/m². |
Övervikt/fetma efter ålder och region
Vuxna, 2021-2022
Undersökningstyp: | Uppmätt |
Ålder: | 18+ |
Urvalsstorlek: | 30136 |
Område som omfattas: | Nationell |
Referenser: | 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. |
Anteckningar: | 10099 men and 19982 women |
Om inte annat anges avser övervikt ett BMI mellan 25 kg och 29,9 kg/m², fetma avser ett BMI högre än 30 kg/m². |
Män, 2021-2022
Undersökningstyp: | Uppmätt |
Ålder: | 18+ |
Urvalsstorlek: | 30136 |
Område som omfattas: | Nationell |
Referenser: | 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. |
Anteckningar: | 10099 men and 19982 women |
Om inte annat anges avser övervikt ett BMI mellan 25 kg och 29,9 kg/m², fetma avser ett BMI högre än 30 kg/m². |
Kvinnor, 2021-2022
Undersökningstyp: | Uppmätt |
Ålder: | 18+ |
Urvalsstorlek: | 30136 |
Område som omfattas: | Nationell |
Referenser: | 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. |
Anteckningar: | 10099 men and 19982 women |
Om inte annat anges avser övervikt ett BMI mellan 25 kg och 29,9 kg/m², fetma avser ett BMI högre än 30 kg/m². |
Män, 2016
Undersökningstyp: | Uppmätt |
Ålder: | 15+ |
Urvalsstorlek: | 3105 Men4662 Women |
Område som omfattas: | Nationell |
Referenser: | 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. |
Anteckningar: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Om inte annat anges avser övervikt ett BMI mellan 25 kg och 29,9 kg/m², fetma avser ett BMI högre än 30 kg/m². |
Kvinnor, 2016
Undersökningstyp: | Uppmätt |
Ålder: | 15+ |
Urvalsstorlek: | 3105 Men4662 Women |
Område som omfattas: | Nationell |
Referenser: | 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. |
Anteckningar: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Om inte annat anges avser övervikt ett BMI mellan 25 kg och 29,9 kg/m², fetma avser ett BMI högre än 30 kg/m². |
Vuxna, 2007-2010
Undersökningstyp: | Uppmätt |
Ålder: | 50+ |
Urvalsstorlek: | 3836 |
Område som omfattas: | Nationell |
Referenser: | 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. |
Anteckningar: | Prevalence of obesity for adults aged 50+ |
Om inte annat anges avser övervikt ett BMI mellan 25 kg och 29,9 kg/m², fetma avser ett BMI högre än 30 kg/m². |
Män, 2003
Undersökningstyp: | Egenanställd |
Ålder: | 15+ |
Referenser: | Department of Health, Medical Research Council, ORC Macro. 2007. South Africa Demographic and Health Survey 2003. Pretoria, South Africa: Department of Health/South Africa. |
Anteckningar: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Om inte annat anges avser övervikt ett BMI mellan 25 kg och 29,9 kg/m², fetma avser ett BMI högre än 30 kg/m². |
Kvinnor, 2003
Undersökningstyp: | Egenanställd |
Ålder: | 15+ |
Referenser: | Department of Health, Medical Research Council, ORC Macro. 2007. South Africa Demographic and Health Survey 2003. Pretoria, South Africa: Department of Health/South Africa. |
Anteckningar: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Om inte annat anges avser övervikt ett BMI mellan 25 kg och 29,9 kg/m², fetma avser ett BMI högre än 30 kg/m². |
Män, 1998
Undersökningstyp: | Egenanställd |
Ålder: | 15+ |
Referenser: | Department of Health/South Africa and Macro International. 2002. South Africa Demographic and Health Survey 1998. Pretoria, South Africa: Department of Health/South Africa. |
Anteckningar: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Om inte annat anges avser övervikt ett BMI mellan 25 kg och 29,9 kg/m², fetma avser ett BMI högre än 30 kg/m². |
Kvinnor, 1998
Undersökningstyp: | Egenanställd |
Ålder: | 15+ |
Referenser: | Department of Health/South Africa and Macro International. 2002. South Africa Demographic and Health Survey 1998. Pretoria, South Africa: Department of Health/South Africa. |
Anteckningar: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Om inte annat anges avser övervikt ett BMI mellan 25 kg och 29,9 kg/m², fetma avser ett BMI högre än 30 kg/m². |
Pojkar, 2012
Undersökningstyp: | Uppmätt |
Ålder: | 2-14 |
Urvalsstorlek: | 4278 |
Område som omfattas: | Nationell |
Referenser: | 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. |
Anteckningar: | Sample size for all 2-14yrs |
Cutoffs: | IOTF |
Flickor, 2012
Undersökningstyp: | Uppmätt |
Ålder: | 2-14 |
Urvalsstorlek: | 4278 |
Område som omfattas: | Nationell |
Referenser: | 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. |
Anteckningar: | Sample size for all 2-14yrs |
Cutoffs: | IOTF |
0-5 years, 2017
Urvalsstorlek: | 4638254 |
Referenser: | Other: South Africa National Income Dynamics Study 2017, Wave 5 |
Anteckningar: | 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. |
Definitioner (endast tillgängliga på engelska): | =>+2SD |
0-5 years, 2016
Urvalsstorlek: | 1384 |
Referenser: | DHS: South Africa Demographic and Health Survey 2016. Pretoria, South Africa, and Rockville, Maryland, USA: NDoH, Stats SA, SAMRC, and ICF |
Anteckningar: | 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. |
Definitioner (endast tillgängliga på engelska): | =>+2SD |
0-5 years, 2014-2015
Urvalsstorlek: | 4977516 |
Referenser: | Other: South Africa National Income Dynamics Study 2014-15, Wave 4 |
Anteckningar: | 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. |
Definitioner (endast tillgängliga på engelska): | =>+2SD |
0-5 years, 2008
Urvalsstorlek: | 2783978 |
Referenser: | Other: South Africa 2008 National Income Dynamics Survey |
Anteckningar: | 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. |
Definitioner (endast tillgängliga på engelska): | =>+2SD |
Övervikt/fetma efter ålder och socioekonomisk grupp
Män, 2016
Undersökningstyp: | Uppmätt |
Ålder: | 15+ |
Urvalsstorlek: | 7767 |
Område som omfattas: | Nationell |
Referenser: | 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. |
Anteckningar: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Om inte annat anges avser övervikt ett BMI mellan 25 kg och 29,9 kg/m², fetma avser ett BMI högre än 30 kg/m². |
Kvinnor, 2016
Undersökningstyp: | Uppmätt |
Ålder: | 15+ |
Urvalsstorlek: | 7767 |
Område som omfattas: | Nationell |
Referenser: | 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. |
Anteckningar: | Demographic Health Survey data includes ever married women aged 15-49 years only and may include males aged 15-59. |
Om inte annat anges avser övervikt ett BMI mellan 25 kg och 29,9 kg/m², fetma avser ett BMI högre än 30 kg/m². |
Vuxna, 2007-2010
Undersökningstyp: | Uppmätt |
Ålder: | 50+ |
Urvalsstorlek: | 3836 |
Område som omfattas: | Nationell |
Referenser: | 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. |
Anteckningar: | 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. |
Om inte annat anges avser övervikt ett BMI mellan 25 kg och 29,9 kg/m², fetma avser ett BMI högre än 30 kg/m². |
Barn, 2013
Undersökningstyp: | Uppmätt |
Ålder: | 9 |
Urvalsstorlek: | 574 |
Område som omfattas: | Regional |
Referenser: | 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. |
Anteckningar: | NB VERY SMALL SAMPLE SIZE North West Province |
Cutoffs: | IOTF |
0-5 years, 2016
Urvalsstorlek: | 1384 |
Referenser: | DHS: South Africa Demographic and Health Survey 2016. Pretoria, South Africa, and Rockville, Maryland, USA: NDoH, Stats SA, SAMRC, and ICF |
Anteckningar: | 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. |
Definitioner (endast tillgängliga på engelska): | =>+2SD |
0-5 years, 2008
Urvalsstorlek: | 2783978 |
Referenser: | Other: South Africa 2008 National Income Dynamics Survey |
Anteckningar: | 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. |
Definitioner (endast tillgängliga på engelska): | =>+2SD |
Övervikt/fetma efter etnicitet
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.
Män, 2016
Undersökningstyp: | Uppmätt |
Ålder: | 15+ |
Urvalsstorlek: | 4642 women, 3105 men |
Område som omfattas: | Nationell |
Referenser: | 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. |
Anteckningar: | NB: The sample size for Indian/Asian men was only 60 unweighted cases. |
Definitioner (endast tillgängliga på engelska): | Ethnicity data was collected according to self-reported South African population group |
Om inte annat anges avser övervikt ett BMI mellan 25 kg och 29,9 kg/m², fetma avser ett BMI högre än 30 kg/m². |
Kvinnor, 2016
Undersökningstyp: | Uppmätt |
Ålder: | 15+ |
Urvalsstorlek: | 4642 women, 3105 men |
Område som omfattas: | Nationell |
Referenser: | 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. |
Anteckningar: | NB: The sample size for Indian/Asian men was only 60 unweighted cases. |
Definitioner (endast tillgängliga på engelska): | Ethnicity data was collected according to self-reported South African population group |
Om inte annat anges avser övervikt ett BMI mellan 25 kg och 29,9 kg/m², fetma avser ett BMI högre än 30 kg/m². |
Barn, 2007-2008
Undersökningstyp: | Uppmätt |
Ålder: | 7-18 |
Urvalsstorlek: | 1559 |
Område som omfattas: | Regional - Western Cape |
Referenser: | 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] |
Definitioner (endast tillgängliga på engelska): | 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
Vuxna, 2022
Undersökningstyp: | Uppmätt |
Ålder: | 20+ |
Referenser: | 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. |
Anteckningar: | Age Standardised estimates |
Definitioner (endast tillgängliga på engelska): | Combined prevalence of BMI<18.5 kg/m² and BMI>=30 kg/m² (double burden of underweight and obesity) |
Barn, 2022
Undersökningstyp: | Uppmätt |
Ålder: | 5-19 |
Referenser: | 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. |
Anteckningar: | Age standardised estimates |
Definitioner (endast tillgängliga på engelska): | Combined prevalence of BMI < -2SD and BMI > 2SD (double burden of thinness and obesity) |
Cutoffs: | BMI < -2SD and BMI > 2SD |
0-5 years, 2017-2017
Undersökningstyp: | Uppmätt |
Ålder: | 0-5 |
Referenser: | UNICEF data available at https://data.unicef.org/topic/nutrition/malnutrition/(last accessed 12.03.25) |
Anteckningar: | Children under 5 falling below -2 standard deviations from the median height for age and falling at or above +2 standard deviations from the median weight-for-height of the reference population |
Otillräcklig fysisk aktivitet
Vuxna, 2022
Undersökningstyp: | Egenanställd |
Ålder: | 18+ |
Område som omfattas: | Nationell |
Referenser: | 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)-(-) |
Definitioner (endast tillgängliga på engelska): | 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. |
Män, 2022
Undersökningstyp: | Egenanställd |
Ålder: | 18+ |
Område som omfattas: | Nationell |
Referenser: | 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)-(-) |
Definitioner (endast tillgängliga på engelska): | 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. |
Kvinnor, 2022
Undersökningstyp: | Egenanställd |
Ålder: | 18+ |
Område som omfattas: | Nationell |
Referenser: | 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)-(-) |
Definitioner (endast tillgängliga på engelska): | 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. |
Vuxna, 2016
Referenser: | 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 |
Män, 2016
Referenser: | 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 |
Kvinnor, 2016
Referenser: | 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
Vuxna, 2017
Undersökningstyp: | Uppmätt |
Ålder: | 25+ |
Referenser: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
Definitioner (endast tillgängliga på engelska): | Estimated per-capita fruit intake (g/day) |
Uppskattat intag av kött per capita
Vuxna, 2017
Undersökningstyp: | Uppmätt |
Ålder: | 25+ |
Referenser: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
Definitioner (endast tillgängliga på engelska): | Estimated per-capita processed meat intake (g per day) |
Estimated per capita whole grains intake
Vuxna, 2017
Undersökningstyp: | Uppmätt |
Ålder: | 25+ |
Referenser: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
Definitioner (endast tillgängliga på engelska): | Estimated per-capita whole grains intake (g/day) |
Psykisk hälsa - depression
Vuxna, 2021
Ålder: | 20+ |
Område som omfattas: | Nationell |
Referenser: | 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) |
Definitioner (endast tillgängliga på engelska): | Number living with depression per 100,000 population (adults 20+ years) |
Män, 2021
Ålder: | 20+ |
Område som omfattas: | Nationell |
Referenser: | 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) |
Definitioner (endast tillgängliga på engelska): | Number living with depression per 100,000 population (adults 20+ years) |
Kvinnor, 2021
Ålder: | 20+ |
Område som omfattas: | Nationell |
Referenser: | 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) |
Definitioner (endast tillgängliga på engelska): | Number living with depression per 100,000 population (adults 20+ years) |
Vuxna, 2015-2021
Referenser: | 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. |
Definitioner (endast tillgängliga på engelska): | % of population with depression disorders |
Vuxna, 2015-2021
Referenser: | 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. |
Definitioner (endast tillgängliga på engelska): | % of population with depression disorders |
Män, 2015-2021
Referenser: | 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. |
Definitioner (endast tillgängliga på engelska): | % of population with depression disorders |
Kvinnor, 2015-2021
Referenser: | 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. |
Definitioner (endast tillgängliga på engelska): | % of population with depression disorders |
Barn, 2021
Område som omfattas: | Nationell |
Referenser: | 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) |
Definitioner (endast tillgängliga på engelska): | Number living with depressive disorder per 100,000 population (Under 20 years of age) |
Pojkar, 2021
Område som omfattas: | Nationell |
Referenser: | 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) |
Definitioner (endast tillgängliga på engelska): | Number living with depressive disorder per 100,000 population (Under 20 years of age) |
Flickor, 2021
Område som omfattas: | Nationell |
Referenser: | 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) |
Definitioner (endast tillgängliga på engelska): | Number living with depressive disorder per 100,000 population (Under 20 years of age) |
Psykisk hälsa - ångeststörningar
Vuxna, 2021
Ålder: | 20+ |
Referenser: | 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). |
Definitioner (endast tillgängliga på engelska): | Number living with anxiety per 100,000 population |
Män, 2021
Ålder: | 20+ |
Referenser: | 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). |
Definitioner (endast tillgängliga på engelska): | Number living with anxiety per 100,000 population |
Kvinnor, 2021
Ålder: | 20+ |
Referenser: | 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). |
Definitioner (endast tillgängliga på engelska): | Number living with anxiety per 100,000 population |
Vuxna, 2015-2021
Referenser: | 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. |
Definitioner (endast tillgängliga på engelska): | % of population with anxiety disorders |
Vuxna, 2015-2021
Referenser: | 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. |
Definitioner (endast tillgängliga på engelska): | % of population with anxiety disorders |
Män, 2015-2021
Referenser: | 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. |
Definitioner (endast tillgängliga på engelska): | % of population with anxiety disorders |
Kvinnor, 2015-2021
Referenser: | 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. |
Definitioner (endast tillgängliga på engelska): | % of population with anxiety disorders |
Barn, 2021
Referenser: | 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) |
Pojkar, 2021
Referenser: | 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) |
Flickor, 2021
Referenser: | 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) |
% Spädbarn som uteslutande ammas 0-5 månader
0-5 years, 2010-2024
Referenser: | South Africa Demographic and Health Survey 2016. Pretoria, South Africa, and Rockville, Maryland, USA: NDoH, Stats SA, SAMRC, and ICF |
Anteckningar: | 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
Vuxna, 2022
Område som omfattas: | Nationell |
Referenser: | 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. |
Esofageal cancer
Män, 2022
Ålder: | 20+ |
Område som omfattas: | Nationell |
Referenser: | 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] |
Definitioner (endast tillgängliga på engelska): | Indicence per 100,000 |
Kvinnor, 2022
Ålder: | 20+ |
Område som omfattas: | Nationell |
Referenser: | 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] |
Definitioner (endast tillgängliga på engelska): | Indicence per 100,000 |
Män, 2020-2022
Ålder: | 20+ |
Område som omfattas: | Nationell |
Referenser: | 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 |
Definitioner (endast tillgängliga på engelska): | Age-standardized indicence rates per 100 000 |
Kvinnor, 2020-2022
Ålder: | 20+ |
Område som omfattas: | Nationell |
Referenser: | 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 |
Definitioner (endast tillgängliga på engelska): | Age-standardized indicence rates per 100 000 |
Bröstcancer
Kvinnor, 2022
Område som omfattas: | Nationell |
Referenser: | 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] |
Definitioner (endast tillgängliga på engelska): | Incidence per 100,000 |
Kolorektalcancer
Män, 2022
Ålder: | 20+ |
Område som omfattas: | Nationell |
Referenser: | 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] |
Definitioner (endast tillgängliga på engelska): | Incidence per 100,000 |
Kvinnor, 2022
Ålder: | 20+ |
Område som omfattas: | Nationell |
Referenser: | 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] |
Definitioner (endast tillgängliga på engelska): | Incidence per 100,000 |
Män, 2020-2022
Ålder: | 20+ |
Område som omfattas: | Nationell |
Referenser: | 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 |
Definitioner (endast tillgängliga på engelska): | Age-standardized indicence rates per 100 000 |
Kvinnor, 2020-2022
Ålder: | 20+ |
Område som omfattas: | Nationell |
Referenser: | 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 |
Definitioner (endast tillgängliga på engelska): | Age-standardized indicence rates per 100 000 |
Pankreascancer
Män, 2022
Ålder: | 20+ |
Område som omfattas: | Nationell |
Referenser: | 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] |
Definitioner (endast tillgängliga på engelska): | Incidence per 100,000 |
Kvinnor, 2022
Ålder: | 20+ |
Område som omfattas: | Nationell |
Referenser: | 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] |
Definitioner (endast tillgängliga på engelska): | Incidence per 100,000 |
Män, 2020-2022
Ålder: | 20+ |
Område som omfattas: | Nationell |
Referenser: | 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 |
Definitioner (endast tillgängliga på engelska): | Age-standardized indicence rates per 100 000 |
Kvinnor, 2020-2022
Ålder: | 20+ |
Område som omfattas: | Nationell |
Referenser: | 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 |
Definitioner (endast tillgängliga på engelska): | Age-standardized indicence rates per 100 000 |
Gallblåsecancer
Män, 2022
Ålder: | 20+ |
Område som omfattas: | Nationell |
Referenser: | 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] |
Definitioner (endast tillgängliga på engelska): | Indicence per 100,000 |
Kvinnor, 2022
Ålder: | 20+ |
Område som omfattas: | Nationell |
Referenser: | 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] |
Definitioner (endast tillgängliga på engelska): | Indicence per 100,000 |
Män, 2020-2022
Ålder: | 20+ |
Område som omfattas: | Nationell |
Referenser: | 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 |
Definitioner (endast tillgängliga på engelska): | Age-standardized indicence rates per 100 000 |
Kvinnor, 2020-2022
Ålder: | 20+ |
Område som omfattas: | Nationell |
Referenser: | 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 |
Definitioner (endast tillgängliga på engelska): | Age-standardized indicence rates per 100 000 |
Njurcancer
Män, 2022
Ålder: | 20+ |
Område som omfattas: | Nationell |
Referenser: | 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] |
Definitioner (endast tillgängliga på engelska): | Incidence per 100,000 |
Kvinnor, 2022
Ålder: | 20+ |
Område som omfattas: | Nationell |
Referenser: | 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] |
Definitioner (endast tillgängliga på engelska): | Incidence per 100,000 |
Män, 2020-2022
Ålder: | 20+ |
Område som omfattas: | Nationell |
Referenser: | 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 |
Definitioner (endast tillgängliga på engelska): | Age-standardized indicence rates per 100 000 |
Kvinnor, 2020-2022
Ålder: | 20+ |
Område som omfattas: | Nationell |
Referenser: | 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 |
Definitioner (endast tillgängliga på engelska): | Age-standardized indicence rates per 100 000 |
Livmoderhalscancer
Kvinnor, 2022
Ålder: | 20+ |
Referenser: | 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] |
Definitioner (endast tillgängliga på engelska): | Incidence per 100,000 |
Kvinnor, 2020-2022
Ålder: | 20+ |
Område som omfattas: | Nationell |
Referenser: | 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 |
Definitioner (endast tillgängliga på engelska): | Age-standardized indicence rates per 100 000 |
Förhöjt blodtryck
Vuxna, 2015
Referenser: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A875?lang=en |
Definitioner (endast tillgängliga på engelska): | Age Standardised estimated % Raised blood pressure 2015 (SBP>=140 OR DBP>=90). |
Män, 2015
Referenser: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A875?lang=en |
Definitioner (endast tillgängliga på engelska): | Age Standardised estimated % Raised blood pressure 2015 (SBP>=140 OR DBP>=90). |
Kvinnor, 2015
Referenser: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A875?lang=en |
Definitioner (endast tillgängliga på engelska): | Age Standardised estimated % Raised blood pressure 2015 (SBP>=140 OR DBP>=90). |
Förhöjt kolesterol
Vuxna, 2008
Referenser: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A885 |
Definitioner (endast tillgängliga på engelska): | % Raised total cholesterol (>= 5.0 mmol/L) (age-standardized estimate). |
Män, 2008
Referenser: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A885 |
Definitioner (endast tillgängliga på engelska): | % Raised total cholesterol (>= 5.0 mmol/L) (age-standardized estimate). |
Kvinnor, 2008
Referenser: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A885 |
Definitioner (endast tillgängliga på engelska): | % Raised total cholesterol (>= 5.0 mmol/L) (age-standardized estimate). |
Förhöjt fastande blodglukos
Män, 2014
Referenser: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A869?lang=en |
Definitioner (endast tillgängliga på engelska): | Age Standardised % raised fasting blood glucose (>= 7.0 mmol/L or on medication). |
Kvinnor, 2014
Referenser: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A869?lang=en |
Definitioner (endast tillgängliga på engelska): | Age Standardised % raised fasting blood glucose (>= 7.0 mmol/L or on medication). |
Förekomst av diabetes
Vuxna, 2024
Referenser: | Reproduced with kind permission International Diabetes Federation. IDF Diabetes Atlas, 11th edn. Brussels, Belgium:International Diabetes Federation, 2025. http://www.diabetesatlas.org |
Vuxna, 2021
Ålder: | 20-79 |
Område som omfattas: | Nationell |
Referenser: | Reproduced with kind permission International Diabetes Federation. IDF Diabetes Atlas, 10th edn. Brussels, Belgium:International Diabetes Federation, 2021. http://www.diabetesatlas.org |
Definitioner (endast tillgängliga på engelska): | Age-adjusted comparative prevalence of diabetes, % |
Vuxna, 2019
Ålder: | 20-79 |
Referenser: | Reproduced with kind permission International Diabetes Federation. IDF Diabetes Atlas, 9th edn. Brussels,Belgium: 2019. Available at: https://www.diabetesatlas.org |
Definitioner (endast tillgängliga på engelska): | Diabetes age-adjusted comparative prevalence (%). |
Vuxna, 2017
Referenser: | Reproduced with kind permission of IDF, International Diabetes Federation. IDF Diabetes Atlas, 8th edition. Brussels, Belgium: International Diabetes Federation, 2017. http://www.diabetesatlas.org |
Definitioner (endast tillgängliga på engelska): | Diabetes age-adjusted comparative prevalence (%). |
Ovarian Cancer
Kvinnor, 2022
Ålder: | 20+ |
Referenser: | 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] |
Definitioner (endast tillgängliga på engelska): | Incidence per 100,000 |
Leukemia
Män, 2022
Ålder: | 20+ |
Område som omfattas: | Nationell |
Referenser: | 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] |
Definitioner (endast tillgängliga på engelska): | Incidence per 100,000 |
Om inte annat anges avser övervikt ett BMI mellan 25 kg och 29,9 kg/m², fetma avser ett BMI högre än 30 kg/m². |
Kvinnor, 2022
Ålder: | 20+ |
Område som omfattas: | Nationell |
Referenser: | 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] |
Definitioner (endast tillgängliga på engelska): | Incidence per 100,000 |
Om inte annat anges avser övervikt ett BMI mellan 25 kg och 29,9 kg/m², fetma avser ett BMI högre än 30 kg/m². |
Leukemia
Män, 2022
Ålder: | 20+ |
Område som omfattas: | Nationell |
Referenser: | 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] |
Definitioner (endast tillgängliga på engelska): | Incidence per 100,000 |
Om inte annat anges avser övervikt ett BMI mellan 25 kg och 29,9 kg/m², fetma avser ett BMI högre än 30 kg/m². |
Kvinnor, 2022
Ålder: | 20+ |
Område som omfattas: | Nationell |
Referenser: | 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] |
Definitioner (endast tillgängliga på engelska): | Incidence per 100,000 |
Om inte annat anges avser övervikt ett BMI mellan 25 kg och 29,9 kg/m², fetma avser ett BMI högre än 30 kg/m². |
Liver and intrahepatic bile duct Cancer
Män, 2022
Ålder: | 20+ |
Område som omfattas: | Nationell |
Referenser: | 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] |
Definitioner (endast tillgängliga på engelska): | Incidence per 100,000 |
Kvinnor, 2022
Ålder: | 20+ |
Område som omfattas: | Nationell |
Referenser: | 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] |
Definitioner (endast tillgängliga på engelska): | Incidence per 100,000 |
Multiple Myeloma
Män, 2022
Ålder: | 20+ |
Område som omfattas: | Nationell |
Referenser: | 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] |
Definitioner (endast tillgängliga på engelska): | Indicence per 100,000 |
Om inte annat anges avser övervikt ett BMI mellan 25 kg och 29,9 kg/m², fetma avser ett BMI högre än 30 kg/m². |
Kvinnor, 2022
Ålder: | 20+ |
Område som omfattas: | Nationell |
Referenser: | 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] |
Definitioner (endast tillgängliga på engelska): | Indicence per 100,000 |
Om inte annat anges avser övervikt ett BMI mellan 25 kg och 29,9 kg/m², fetma avser ett BMI högre än 30 kg/m². |
Non Hodgkin Lymphoma
Män, 2022
Ålder: | 20+ |
Område som omfattas: | Nationell |
Referenser: | 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] |
Definitioner (endast tillgängliga på engelska): | Incidence per 100,000 |
Om inte annat anges avser övervikt ett BMI mellan 25 kg och 29,9 kg/m², fetma avser ett BMI högre än 30 kg/m². |
Kvinnor, 2022
Ålder: | 20+ |
Område som omfattas: | Nationell |
Referenser: | 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] |
Definitioner (endast tillgängliga på engelska): | Incidence per 100,000 |
Om inte annat anges avser övervikt ett BMI mellan 25 kg och 29,9 kg/m², fetma avser ett BMI högre än 30 kg/m². |
Thyroid Cancer
Män, 2022
Ålder: | 20+ |
Område som omfattas: | Nationell |
Referenser: | 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] |
Definitioner (endast tillgängliga på engelska): | Incidence per 100,000 |
Kvinnor, 2022
Ålder: | 20+ |
Område som omfattas: | Nationell |
Referenser: | 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] |
Definitioner (endast tillgängliga på engelska): | 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? | Present |
Evidence-based dietary guidelines and/or RDAs? | Present |
National target(s) on reducing obesity? | Present |
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
Last updated September 13, 2022
Download contextual factors as a PDF Contextual factors definitions