Taiwan
High income
- Überblick
- Adipositasprävalenz
- Trends im Zeitverlauf
- Bevölkerungsaufschlüsselung
- Treiber
- Komorbiditäten
- Richtlinien (nur in englischer Sprache verfügbar)
- Contextual factors
Report cards
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Bevölkerungsaufschlüsselung
Treiber
Komorbiditäten
Richtlinien (nur in englischer Sprache verfügbar)
Contextual factors
Adipositasprävalenz
Erwachsene, 2013-2014
Umfragetyp: | Gemessen |
Alter: | 19+ |
Stichprobengröße: | 1440 |
Geltungsbereich: | National |
Referenzen: | Chang HC, Yang HC, Chang HY, et al. Morbid obesity in Taiwan: Prevalence, trends, associated social demographics, and lifestyle factors. PLoS One. 2017;12(2):e0169577. Published 2017 Feb 2. doi:10.1371/journal.pone.0169577 |
Cutoffs: | Taiwanese cut offs |
Wenn nicht anders angegeben, bezieht sich Übergewicht auf einen BMI zwischen 25 kg und 29,9 kg/m², Adipositas auf einen BMI über 30 kg/m². |
Erwachsene, 2013-2014
Umfragetyp: | Gemessen |
Alter: | 19+ |
Stichprobengröße: | 1440 |
Geltungsbereich: | National |
Referenzen: | Chang HC, Yang HC, Chang HY, et al. Morbid obesity in Taiwan: Prevalence, trends, associated social demographics, and lifestyle factors. PLoS One. 2017;12(2):e0169577. Published 2017 Feb 2. doi:10.1371/journal.pone.0169577 |
Definitionen (nur in englischer Sprache verfügbar): | Taiwanese cutoffs shown for BMI greater than or equal to 30kg/m² to allow comparison with standard WHO cutoffs. |
Wenn nicht anders angegeben, bezieht sich Übergewicht auf einen BMI zwischen 25 kg und 29,9 kg/m², Adipositas auf einen BMI über 30 kg/m². |
Erwachsene, 2005-2008
Umfragetyp: | Gemessen |
Alter: | 19+ |
Stichprobengröße: | 1673 |
Geltungsbereich: | National |
Referenzen: | Chang HC, Yang HC, Chang HY, et al. Morbid obesity in Taiwan: Prevalence, trends, associated social demographics, and lifestyle factors. PLoS One. 2017;12(2):e0169577. Published 2017 Feb 2. doi:10.1371/journal.pone.0169577 |
Definitionen (nur in englischer Sprache verfügbar): | Taiwanese cutoffs shown for BMI greater than or equal to 30kg/m² to allow comparison with standard WHO cutoffs. |
Wenn nicht anders angegeben, bezieht sich Übergewicht auf einen BMI zwischen 25 kg und 29,9 kg/m², Adipositas auf einen BMI über 30 kg/m². |
Erwachsene, 2003-2006
Umfragetyp: | Gemessen |
Alter: | 19+ |
Stichprobengröße: | 2787 |
Geltungsbereich: | National |
Referenzen: | Yeh, Chih-Jung, et al. "Time Trend of Obesity, the Metabolic Syndrome and Related Dietary Pattern in Taiwan: From NAHSIT 1993-1996 to NAHSIT 2005-2008." Asia Pacific Journal of Clinical Nutrition, vol. 20, no. 2, 2011, pp. 292-300. |
Anmerkungen (nur in englischer Sprache verfügbar): | BMI >27 also available NB. Combined adult 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 21.10.20)' |
Wenn nicht anders angegeben, bezieht sich Übergewicht auf einen BMI zwischen 25 kg und 29,9 kg/m², Adipositas auf einen BMI über 30 kg/m². |
Erwachsene, 1993-1996
Umfragetyp: | Gemessen |
Alter: | 19+ |
Stichprobengröße: | 2860 |
Geltungsbereich: | National |
Referenzen: | Yeh, Chih-Jung, et al. "Time Trend of Obesity, the Metabolic Syndrome and Related Dietary Pattern in Taiwan: From NAHSIT 1993-1996 to NAHSIT 2005-2008." Asia Pacific Journal of Clinical Nutrition, vol. 20, no. 2, 2011, pp. 292-300. |
Anmerkungen (nur in englischer Sprache verfügbar): | BMI > 27 also available |
Wenn nicht anders angegeben, bezieht sich Übergewicht auf einen BMI zwischen 25 kg und 29,9 kg/m², Adipositas auf einen BMI über 30 kg/m². |
Erwachsene, 1993-1996
Umfragetyp: | Gemessen |
Alter: | 19+ |
Stichprobengröße: | 3071 |
Geltungsbereich: | National |
Referenzen: | Chang HC, Yang HC, Chang HY, et al. Morbid obesity in Taiwan: Prevalence, trends, associated social demographics, and lifestyle factors. PLoS One. 2017;12(2):e0169577. Published 2017 Feb 2. doi:10.1371/journal.pone.0169577 |
Cutoffs: | Taiwanese cut offs |
Wenn nicht anders angegeben, bezieht sich Übergewicht auf einen BMI zwischen 25 kg und 29,9 kg/m², Adipositas auf einen BMI über 30 kg/m². |
Erwachsene, 1993-1996
Umfragetyp: | Gemessen |
Alter: | 19+ |
Stichprobengröße: | 3071 |
Geltungsbereich: | National |
Referenzen: | Chang HC, Yang HC, Chang HY, et al. Morbid obesity in Taiwan: Prevalence, trends, associated social demographics, and lifestyle factors. PLoS One. 2017;12(2):e0169577. Published 2017 Feb 2. doi:10.1371/journal.pone.0169577 |
Definitionen (nur in englischer Sprache verfügbar): | Taiwanese cutoffs shown for BMI greater than or equal to 30kg/m² to allow comparison with standard WHO cutoffs. |
Wenn nicht anders angegeben, bezieht sich Übergewicht auf einen BMI zwischen 25 kg und 29,9 kg/m², Adipositas auf einen BMI über 30 kg/m². |
Kinder, 2006-2007
Umfragetyp: | Gemessen |
Alter: | 10-18 |
Stichprobengröße: | 29313 |
Geltungsbereich: | National |
Referenzen: | Hsu YW, Liou TH, Liou YM, Chen HJ, Chien LY. Measurements and profiles of body weight misperceptions among Taiwanese teenagers: a national survey. Asia Pac J Clin Nutr. 2016;25(1):108-17. doi: 10.6133/apjcn.2016.25.2.08. PMID: 26965769. |
Anmerkungen (nur in englischer Sprache verfügbar): | Also has prevalence by of based on recommended BMI classification according to the Health Promotion Administration, Ministry of Health and Welfare. |
Cutoffs: | IOTF |
Kinder, 2001
Umfragetyp: | Gemessen |
Alter: | 6-18 |
Stichprobengröße: | 24586 |
Geltungsbereich: | National |
Referenzen: | Chen LJ, Fox KR, Haase A and Wang JM. (2006). Obesity, fitness and health in Taiwanese children and adolescents. European Journal of Clinical Nutrition, 60: 1367 - 1375. |
Anmerkungen (nur in englischer Sprache verfügbar): | 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 21.10.20)' |
Cutoffs: | IOTF |
Kinder, 1999
Umfragetyp: | Gemessen |
Alter: | 6-17 |
Stichprobengröße: | 13935 |
Geltungsbereich: | National |
Referenzen: | Chen LJ, Fox KR, Haase A, Wang JM. Obesity, fitness and health in Taiwanese children and adolescents. EJCN 2006;online published ahead of print |
Anmerkungen (nur in englischer Sprache verfügbar): | 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 |
% Adults living with obesity in Taiwan 1993-2013
Umfragetyp: | Gemessen |
Referenzen: | Chang HC, Yang HC, Chang HY, et al. Morbid obesity in Taiwan: Prevalence, trends, associated social demographics, and lifestyle factors. PLoS One. 2017;12(2):e0169577. Published 2017 Feb 2. doi:10.1371/journal.pone.0169577 |
Definitionen (nur in englischer Sprache verfügbar): | Other Cut offs available |
Wenn nicht anders angegeben, bezieht sich Übergewicht auf einen BMI zwischen 25 kg und 29,9 kg/m², Adipositas auf einen BMI über 30 kg/m². | |
Für die Erhebung dieser Daten wurden möglicherweise unterschiedliche Methoden verwendet, weshalb die Daten aus verschiedenen Erhebungen möglicherweise nicht genau vergleichbar sind. Bitte erkundigen Sie sich bei den ursprünglichen Datenquellen über die verwendeten Methoden |
% Adults living with obesity in selected countries in the Asia/Oceania Region 1975-2019, ausgewählte Länder
Männer
Referenzen: | 1976, 1981, 1986: Yoshiike N, Seino F, Tajima S, Arai Y, Kawano M, Furuhata T, Inoue S. Twenty-year changes in the prevalence of overweight in Japanese adults: The National Nutrition Survey 1976-95. Obesity Reviews 2002;3:183-190 1993, 2005, 2013: Chang HC, Yang HC, Chang HY, et al. Morbid obesity in Taiwan: Prevalence, trends, associated social demographics, and lifestyle factors. PLoS One. 2017;12(2):e0169577. Published 2017 Feb 2. doi:10.1371/journal.pone.0169577 1995, 1996: Martorell R, Khan LK, Hughes ML, Grummer Strawn LM. Obesity in women from developing countries. EJCN (2000) 54;247-252 1998: Colaguir S, Colagiuri R, Na'ati S, Muimuiheata S, Hussain Z and Palau T. (2002). The prevalence of diabetes in the Kingdom of Tonga. Diabetes care, 25: 1378 - 1383. 2000: Asia Pacific Cohort Studies Collaboration. The burden of overweight and obesity in the Asia-Pacific region. Obesity Reviews 2007;8:191-196. 2001: SCN (2004). 5th Report on the World Nutrition Situation. Nutrition for Improved Development Outcomes. Appendix 11 2002: Report of the 2002 China National Nutrition and Health Survey. 2004. (In Chinese). Chinese Ministry of Public Health (CMPH). 2003: http://www.fnri.dost.gov.ph/files/fnri%20files/nns/factsandfigures2003/anthropometric.pdf (last accessed June 14th 2011) 2004: Tonga STEPS Survey 2004 2006: Gerritsen S, Stefanogiannis N, Galloway Y, Devlin M, Templaton R and Yeh L. A portrait of health: key results of the 2006/07 New Zealand Health Survey. 2007: Australian Bureau of Statistics (ABS). National Health Survey: Summary of results. Canberra, Australia, ABS, 2009. WHO Global InfoBase reference:102910 2008: Food and Nutrition Research Institute-Department of Science and Technology (FNRI-DOST). 2010. Philippine Nutrition Facts and Figures 2008. DOST Complex, FNRI Bldg., Bicutan, Taguig City, Metro Manila, Philippines. 2009: Yan, S., Li, J., Li, S., Zhang, B., Du, S., Gordon-Larsen, P., Adair, L. and Popkin, B. (2012), The expanding burden of cardiometabolic risk in China: the China Health and Nutrition Survey. Obesity Reviews. doi: 10.1111/j.1467-789X.2012.01016.x 2011: National Institute of Population Research and Training - NIPORT/Bangladesh, Mitra and Associates/Bangladesh, and ICF International. 2013. Bangladesh Demographic and Health Survey 2011. Dhaka, Bangladesh: NIPORT, Mitra and Associates, and ICF International. 2012: New Zealand Health Survey. https://www.health.govt.nz/publication/annual-update-key-results-2018-19-new-zealand-health-survey (last accessed 14.07.20) 2014: National Institute of Population Research and Training - NIPORT/Bangladesh, Mitra and Associates, and ICF International. 2016. Bangladesh Demographic and Health Survey 2014. Dhaka, Bangladesh: NIPORT, Mitra and Associates, and ICF International.. http://www.dhsprogram.com/publications/publication-FR311-DHS-Final-Reports.cfm (last accessed 11th April 2016) 2015: Institute for Public Health (IPH) 2015. National Health and Morbidity Survey 2015 (NHMS 2015). Vol. II: Non-Communicable Diseases, Risk Factors & Other Health Problems; 2015. 2016: Ministry of Health - MOH/Nepal, New ERA/Nepal, and ICF. 2017. Nepal Demographic and Health Survey 2016. Kathmandu, Nepal: MOH/Nepal, New ERA/Nepal, and ICF. 2017: Tonga STEPS Survey 2017 https://extranet.who.int/ncdsmicrodata/index.php/catalog/713 (Last accessed 13.10.20) 2018: New Zealand Health Survey 2018-19. New Zealand Ministry of Health (https://minhealthnz.shinyapps.io/nz-health-survey-2018-19-annual-data-explorer/_w_b396d161/#!/key-indicators accessed 14.11.19) 2019: Institute for Public Health (IPH), National Institutes of Health, Ministry of Health Malaysia. 2020. National Health and Morbidity Survey (NHMS) 2019: Vol. I: NCDs – Non-Communicable Diseases: Risk Factors and other Health Problems 2020: Annual Update of New Zealand Health Survey 2020/2021 available at https://www.health.govt.nz/publication/annual-update-key-results-2020-21-new-zealand-health-survey Accessed 08.11.21. 2021: Department of Science and Technology - Food and Nutrition Research Institute (DOST-FNRI). 2024. Philippine Nutrition Facts and Figures: 2021 Expanded National Nutrition Survey (ENNS). FNRI Bldg., DOST Compound, Gen. Santos Avenue, Bicutan, Taguig City, Metro Manila, Philippines. https://enutrition.fnri.dost.gov.ph/facts-and-figures.php?year=2021 [Accessed 14.07.25] 2022: Australian National Health Survey 2022-2023. https://www.abs.gov.au/statistics/health/health-conditions-and-risks/waist-circumference-and-bmi/2022#body-mass-index-bmi- (Accessed 03.01.2024) 2023: Institute for Public Health (IKU). National Health and Morbidity Survey (NHMS) 2023: Non-Communicable Diseases and Healthcare Demand: Technical Report; 2024. Available at https://iku.nih.gov.my/nhms-2023 (last accessed 04.02.25) |
Für die Erhebung dieser Daten wurden möglicherweise unterschiedliche Methoden verwendet, weshalb die Daten aus verschiedenen Erhebungen möglicherweise nicht genau vergleichbar sind. Bitte erkundigen Sie sich bei den ursprünglichen Datenquellen über die verwendeten Methoden |
Frauen
Referenzen: | 1976, 1981, 1986: Yoshiike N, Seino F, Tajima S, Arai Y, Kawano M, Furuhata T, Inoue S. Twenty-year changes in the prevalence of overweight in Japanese adults: The National Nutrition Survey 1976-95. Obesity Reviews 2002;3:183-190 1993, 2005, 2013: Chang HC, Yang HC, Chang HY, et al. Morbid obesity in Taiwan: Prevalence, trends, associated social demographics, and lifestyle factors. PLoS One. 2017;12(2):e0169577. Published 2017 Feb 2. doi:10.1371/journal.pone.0169577 1995, 1996: Martorell R, Khan LK, Hughes ML, Grummer Strawn LM. Obesity in women from developing countries. EJCN (2000) 54;247-252 1998: Colaguir S, Colagiuri R, Na'ati S, Muimuiheata S, Hussain Z and Palau T. (2002). The prevalence of diabetes in the Kingdom of Tonga. Diabetes care, 25: 1378 - 1383. 2000: Asia Pacific Cohort Studies Collaboration. The burden of overweight and obesity in the Asia-Pacific region. Obesity Reviews 2007;8:191-196. 2001: SCN (2004). 5th Report on the World Nutrition Situation. Nutrition for Improved Development Outcomes. Appendix 11 2002: Report of the 2002 China National Nutrition and Health Survey. 2004. (In Chinese). Chinese Ministry of Public Health (CMPH). 2003: http://www.fnri.dost.gov.ph/files/fnri%20files/nns/factsandfigures2003/anthropometric.pdf (last accessed June 14th 2011) 2004: Tonga STEPS Survey 2004 2006: Gerritsen S, Stefanogiannis N, Galloway Y, Devlin M, Templaton R and Yeh L. A portrait of health: key results of the 2006/07 New Zealand Health Survey. 2007: Australian Bureau of Statistics (ABS). National Health Survey: Summary of results. Canberra, Australia, ABS, 2009. WHO Global InfoBase reference:102910 2008: Food and Nutrition Research Institute-Department of Science and Technology (FNRI-DOST). 2010. Philippine Nutrition Facts and Figures 2008. DOST Complex, FNRI Bldg., Bicutan, Taguig City, Metro Manila, Philippines. 2009: Yan, S., Li, J., Li, S., Zhang, B., Du, S., Gordon-Larsen, P., Adair, L. and Popkin, B. (2012), The expanding burden of cardiometabolic risk in China: the China Health and Nutrition Survey. Obesity Reviews. doi: 10.1111/j.1467-789X.2012.01016.x 2011: National Institute of Population Research and Training - NIPORT/Bangladesh, Mitra and Associates/Bangladesh, and ICF International. 2013. Bangladesh Demographic and Health Survey 2011. Dhaka, Bangladesh: NIPORT, Mitra and Associates, and ICF International. 2012: New Zealand Health Survey. https://www.health.govt.nz/publication/annual-update-key-results-2018-19-new-zealand-health-survey (last accessed 14.07.20) 2014: National Institute of Population Research and Training - NIPORT/Bangladesh, Mitra and Associates, and ICF International. 2016. Bangladesh Demographic and Health Survey 2014. Dhaka, Bangladesh: NIPORT, Mitra and Associates, and ICF International.. http://www.dhsprogram.com/publications/publication-FR311-DHS-Final-Reports.cfm (last accessed 11th April 2016) 2015: Institute for Public Health (IPH) 2015. National Health and Morbidity Survey 2015 (NHMS 2015). Vol. II: Non-Communicable Diseases, Risk Factors & Other Health Problems; 2015. 2016: Ministry of Health - MOH/Nepal, New ERA/Nepal, and ICF. 2017. Nepal Demographic and Health Survey 2016. Kathmandu, Nepal: MOH/Nepal, New ERA/Nepal, and ICF. 2017: Tonga STEPS Survey 2017 https://extranet.who.int/ncdsmicrodata/index.php/catalog/713 (Last accessed 13.10.20) 2018: New Zealand Health Survey 2018-19. New Zealand Ministry of Health (https://minhealthnz.shinyapps.io/nz-health-survey-2018-19-annual-data-explorer/_w_b396d161/#!/key-indicators accessed 14.11.19) 2019: Institute for Public Health (IPH), National Institutes of Health, Ministry of Health Malaysia. 2020. National Health and Morbidity Survey (NHMS) 2019: Vol. I: NCDs – Non-Communicable Diseases: Risk Factors and other Health Problems 2020: Annual Update of New Zealand Health Survey 2020/2021 available at https://www.health.govt.nz/publication/annual-update-key-results-2020-21-new-zealand-health-survey Accessed 08.11.21. 2021: Department of Science and Technology - Food and Nutrition Research Institute (DOST-FNRI). 2024. Philippine Nutrition Facts and Figures: 2021 Expanded National Nutrition Survey (ENNS). FNRI Bldg., DOST Compound, Gen. Santos Avenue, Bicutan, Taguig City, Metro Manila, Philippines. https://enutrition.fnri.dost.gov.ph/facts-and-figures.php?year=2021 [Accessed 14.07.25] 2022: Australian National Health Survey 2022-2023. https://www.abs.gov.au/statistics/health/health-conditions-and-risks/waist-circumference-and-bmi/2022#body-mass-index-bmi- (Accessed 03.01.2024) 2023: Institute for Public Health (IKU). National Health and Morbidity Survey (NHMS) 2023: Non-Communicable Diseases and Healthcare Demand: Technical Report; 2024. Available at https://iku.nih.gov.my/nhms-2023 (last accessed 04.02.25) |
Für die Erhebung dieser Daten wurden möglicherweise unterschiedliche Methoden verwendet, weshalb die Daten aus verschiedenen Erhebungen möglicherweise nicht genau vergleichbar sind. Bitte erkundigen Sie sich bei den ursprünglichen Datenquellen über die verwendeten Methoden |
Double burden of underweight & overweight
Erwachsene, 2022
Umfragetyp: | Gemessen |
Alter: | 20+ |
Referenzen: | 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. |
Anmerkungen (nur in englischer Sprache verfügbar): | Age Standardised estimates |
Definitionen (nur in englischer Sprache verfügbar): | Combined prevalence of BMI<18.5 kg/m² and BMI>=30 kg/m² (double burden of underweight and obesity) |
Kinder, 2022
Umfragetyp: | Gemessen |
Alter: | 5-19 |
Referenzen: | 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. |
Anmerkungen (nur in englischer Sprache verfügbar): | Age standardised estimates |
Definitionen (nur in englischer Sprache verfügbar): | Combined prevalence of BMI < -2SD and BMI > 2SD (double burden of thinness and obesity) |
Cutoffs: | BMI < -2SD and BMI > 2SD |
Estimated per capita fruit intake
Erwachsene, 2017
Umfragetyp: | Gemessen |
Alter: | 25+ |
Referenzen: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
Definitionen (nur in englischer Sprache verfügbar): | Estimated per-capita fruit intake (g/day) |
Geschätzter Verzehr von verarbeitetem Fleisch pro Kopf
Erwachsene, 2017
Umfragetyp: | Gemessen |
Alter: | 25+ |
Referenzen: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
Definitionen (nur in englischer Sprache verfügbar): | Estimated per-capita processed meat intake (g per day) |
Estimated per capita whole grains intake
Erwachsene, 2017
Umfragetyp: | Gemessen |
Alter: | 25+ |
Referenzen: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
Definitionen (nur in englischer Sprache verfügbar): | Estimated per-capita whole grains intake (g/day) |
Psychische Gesundheit – Depressionsstörungen
Erwachsene, 2021
Alter: | 20+ |
Geltungsbereich: | National |
Referenzen: | 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) |
Definitionen (nur in englischer Sprache verfügbar): | Number living with depression per 100,000 population (adults 20+ years) |
Männer, 2021
Alter: | 20+ |
Geltungsbereich: | National |
Referenzen: | 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) |
Definitionen (nur in englischer Sprache verfügbar): | Number living with depression per 100,000 population (adults 20+ years) |
Frauen, 2021
Alter: | 20+ |
Geltungsbereich: | National |
Referenzen: | 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) |
Definitionen (nur in englischer Sprache verfügbar): | Number living with depression per 100,000 population (adults 20+ years) |
Kinder, 2021
Geltungsbereich: | National |
Referenzen: | 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) |
Definitionen (nur in englischer Sprache verfügbar): | Number living with depressive disorder per 100,000 population (Under 20 years of age) |
Jungen, 2021
Geltungsbereich: | National |
Referenzen: | 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) |
Definitionen (nur in englischer Sprache verfügbar): | Number living with depressive disorder per 100,000 population (Under 20 years of age) |
Mädchen, 2021
Geltungsbereich: | National |
Referenzen: | 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) |
Definitionen (nur in englischer Sprache verfügbar): | Number living with depressive disorder per 100,000 population (Under 20 years of age) |
Psychische Gesundheit – Angststörungen
Erwachsene, 2021
Alter: | 20+ |
Referenzen: | 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). |
Definitionen (nur in englischer Sprache verfügbar): | Number living with anxiety per 100,000 population |
Männer, 2021
Alter: | 20+ |
Referenzen: | 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). |
Definitionen (nur in englischer Sprache verfügbar): | Number living with anxiety per 100,000 population |
Frauen, 2021
Alter: | 20+ |
Referenzen: | 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). |
Definitionen (nur in englischer Sprache verfügbar): | Number living with anxiety per 100,000 population |
Kinder, 2021
Referenzen: | 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) |
Jungen, 2021
Referenzen: | 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) |
Mädchen, 2021
Referenzen: | 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) |
Diabetes-Prävalenz
Erwachsene, 2024
Referenzen: | Reproduced with kind permission International Diabetes Federation. IDF Diabetes Atlas, 11th edn. Brussels, Belgium:International Diabetes Federation, 2025. http://www.diabetesatlas.org |
Erwachsene, 2021
Alter: | 20-79 |
Geltungsbereich: | National |
Referenzen: | Reproduced with kind permission International Diabetes Federation. IDF Diabetes Atlas, 10th edn. Brussels, Belgium:International Diabetes Federation, 2021. http://www.diabetesatlas.org |
Definitionen (nur in englischer Sprache verfügbar): | Age-adjusted comparative prevalence of diabetes, % |
Erwachsene, 2019
Alter: | 20-79 |
Referenzen: | Reproduced with kind permission International Diabetes Federation. IDF Diabetes Atlas, 9th edn. Brussels,Belgium: 2019. Available at: https://www.diabetesatlas.org |
Definitionen (nur in englischer Sprache verfügbar): | Diabetes age-adjusted comparative prevalence (%). |
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? | Present |
Front-of-package labelling? | Unknown |
Back-of-pack nutrition declaration? | Unknown |
Color coding? | Absent |
Warning label? | Absent |
Regulation and marketing
Are there fiscal policies on unhealthy products? | Absent |
Tax on unhealthy foods? | Absent |
Tax on unhealthy drinks? | Absent |
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)? | Absent |
Mandatory limit of trans fats in place (all settings)? | Absent |
Ban on trans-fats or phos in place (all settings)? | Absent |
Are there any mandatory policies/marketing restrictions on the promotion of unhealthy food/drinks to children? | Absent |
Mandatory restriction on broadcast media? | Absent |
Mandatory restriction on non-broadcast media? | Absent |
Voluntary policies/marketing restrictions on the promotion of unhealthy food/drinks to children? | Absent |
Are there mandatory standards for food in schools? | Absent |
Are there any mandatory nutrient limits in any manufactured food products? | Absent |
Nutrition standards for public sector procurement? | Absent |
Political will and support
National obesity strategy or nutrition and physical activity national strategy? | Absent |
National obesity strategy? | Absent |
National childhood obesity strategy? | Absent |
Comprehensive nutrition strategy? | Absent |
Comprehensive physical activity strategy? | Absent |
Evidence-based dietary guidelines and/or RDAs? | Present |
National target(s) on reducing obesity? | 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? | Absent |
Governance and resource
Multi-sectoral national co-ordination mechanism for obesity or nutrition (including obesity)? | Unknown |
Key
Last updated November 27, 2022
Download contextual factors as a PDF Contextual factors definitions