Taivanas
High income
- Apžvalga
- Nutukimo paplitimas
- Tendencijos
- Gyventojų pasiskirstymas
- Paskatos
- Gretutinės ligos
- Politikos (tik anglų k.)
- Contextual factors
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Nacionalinė nutukimo rizika *7/10This is a composite ‘obesity risk’ score (out of 10, the highest risk) based on obesity prevalence, rate of increase, likelihood of meeting the 2025 target, treatment indicator and childhood stunting levels.Nutukimo vaikystėje rizika *7,5/11This is a ‘risk score’ for each country’s likelihood of having or acquiring a major childhood obesity problem during the 2020s, taking account of current prevalence levels and risk for future obesity (based on stunting among infants, maternal obesity, maternal smoking, and breastfeeding rates).
Report cards
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Gyventojų pasiskirstymas
Paskatos
Gretutinės ligos
Politikos (tik anglų k.)
Contextual factors
Nutukimo paplitimas
Suaugusieji, 2013-2014
| Tyrimo tipas: | Išmatuotas |
| Amžius: | 19+ |
| Imties dydis: | 1440 |
| Teritorija: | Nacionalinis |
| Nuorodos: | 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 |
| Jei nenurodyta kitaip, antsvoris reiškia KMI nuo 25 kg iki 29,9 kg/m², nutukimas – didesnį nei 30 kg/m² KMI.. | |
Suaugusieji, 2013-2014
| Tyrimo tipas: | Išmatuotas |
| Amžius: | 19+ |
| Imties dydis: | 1440 |
| Teritorija: | Nacionalinis |
| Nuorodos: | 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 |
| Apibrėžimai (anglų k.): | Taiwanese cutoffs shown for BMI greater than or equal to 30kg/m² to allow comparison with standard WHO cutoffs. |
| Jei nenurodyta kitaip, antsvoris reiškia KMI nuo 25 kg iki 29,9 kg/m², nutukimas – didesnį nei 30 kg/m² KMI.. | |
Suaugusieji, 2005-2008
| Tyrimo tipas: | Išmatuotas |
| Amžius: | 19+ |
| Imties dydis: | 1673 |
| Teritorija: | Nacionalinis |
| Nuorodos: | 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 |
| Apibrėžimai (anglų k.): | Taiwanese cutoffs shown for BMI greater than or equal to 30kg/m² to allow comparison with standard WHO cutoffs. |
| Jei nenurodyta kitaip, antsvoris reiškia KMI nuo 25 kg iki 29,9 kg/m², nutukimas – didesnį nei 30 kg/m² KMI.. | |
Suaugusieji, 2003-2006
| Tyrimo tipas: | Išmatuotas |
| Amžius: | 19+ |
| Imties dydis: | 2787 |
| Teritorija: | Nacionalinis |
| Nuorodos: | 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. |
| Pastabos (tik anglų k.): | 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)' |
| Jei nenurodyta kitaip, antsvoris reiškia KMI nuo 25 kg iki 29,9 kg/m², nutukimas – didesnį nei 30 kg/m² KMI.. | |
Suaugusieji, 1993-1996
| Tyrimo tipas: | Išmatuotas |
| Amžius: | 19+ |
| Imties dydis: | 2860 |
| Teritorija: | Nacionalinis |
| Nuorodos: | 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. |
| Pastabos (tik anglų k.): | BMI > 27 also available |
| Jei nenurodyta kitaip, antsvoris reiškia KMI nuo 25 kg iki 29,9 kg/m², nutukimas – didesnį nei 30 kg/m² KMI.. | |
Suaugusieji, 1993-1996
| Tyrimo tipas: | Išmatuotas |
| Amžius: | 19+ |
| Imties dydis: | 3071 |
| Teritorija: | Nacionalinis |
| Nuorodos: | 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 |
| Jei nenurodyta kitaip, antsvoris reiškia KMI nuo 25 kg iki 29,9 kg/m², nutukimas – didesnį nei 30 kg/m² KMI.. | |
Suaugusieji, 1993-1996
| Tyrimo tipas: | Išmatuotas |
| Amžius: | 19+ |
| Imties dydis: | 3071 |
| Teritorija: | Nacionalinis |
| Nuorodos: | 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 |
| Apibrėžimai (anglų k.): | Taiwanese cutoffs shown for BMI greater than or equal to 30kg/m² to allow comparison with standard WHO cutoffs. |
| Jei nenurodyta kitaip, antsvoris reiškia KMI nuo 25 kg iki 29,9 kg/m², nutukimas – didesnį nei 30 kg/m² KMI.. | |
Vaikai, 2006-2007
| Tyrimo tipas: | Išmatuotas |
| Amžius: | 10-18 |
| Imties dydis: | 29313 |
| Teritorija: | Nacionalinis |
| Nuorodos: | 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. |
| Pastabos (tik anglų k.): | Also has prevalence by of based on recommended BMI classification according to the Health Promotion Administration, Ministry of Health and Welfare. |
| Cutoffs: | IOTF |
Vaikai, 2001
| Tyrimo tipas: | Išmatuotas |
| Amžius: | 6-18 |
| Imties dydis: | 24586 |
| Teritorija: | Nacionalinis |
| Nuorodos: | 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. |
| Pastabos (tik anglų k.): | 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 |
Vaikai, 1999
| Tyrimo tipas: | Išmatuotas |
| Amžius: | 6-17 |
| Imties dydis: | 13935 |
| Teritorija: | Nacionalinis |
| Nuorodos: | Chen LJ, Fox KR, Haase A, Wang JM. Obesity, fitness and health in Taiwanese children and adolescents. EJCN 2006;online published ahead of print |
| Pastabos (tik anglų k.): | 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
| Tyrimo tipas: | Išmatuotas |
| Nuorodos: | 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 |
| Apibrėžimai (anglų k.): | Other Cut offs available |
| Jei nenurodyta kitaip, antsvoris reiškia KMI nuo 25 kg iki 29,9 kg/m², nutukimas – didesnį nei 30 kg/m² KMI.. | |
| Šiems duomenims rinkti galimai naudotos skirtingos metodikos, todėl skirtingų tyrimų duomenys gali nebūti visiškai palyginami. Naudotos metodikos nurodytos pirminiuose duomenų šaltiniuose. | |
% Adults living with obesity in selected countries in the Asia/Oceania Region 1975-2019, atrinktos šalys
Vyrai
| Nuorodos: | 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) |
| Šiems duomenims rinkti galimai naudotos skirtingos metodikos, todėl skirtingų tyrimų duomenys gali nebūti visiškai palyginami. Naudotos metodikos nurodytos pirminiuose duomenų šaltiniuose. | |
Moterys
| Nuorodos: | 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) |
| Šiems duomenims rinkti galimai naudotos skirtingos metodikos, todėl skirtingų tyrimų duomenys gali nebūti visiškai palyginami. Naudotos metodikos nurodytos pirminiuose duomenų šaltiniuose. | |
Double burden of underweight & overweight
Suaugusieji, 2022
| Tyrimo tipas: | Išmatuotas |
| Amžius: | 20+ |
| Nuorodos: | 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. |
| Pastabos (tik anglų k.): | Age Standardised estimates |
| Apibrėžimai (anglų k.): | Combined prevalence of BMI<18.5 kg/m² and BMI>=30 kg/m² (double burden of underweight and obesity) |
Vaikai, 2022
| Tyrimo tipas: | Išmatuotas |
| Amžius: | 5-19 |
| Nuorodos: | 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. |
| Pastabos (tik anglų k.): | Age standardised estimates |
| Apibrėžimai (anglų k.): | 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
Suaugusieji, 2017
| Tyrimo tipas: | Išmatuotas |
| Amžius: | 25+ |
| Nuorodos: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
| Apibrėžimai (anglų k.): | Estimated per-capita fruit intake (g/day) |
Perdirbtos mėsos suvartojimas vienam gyventojui
Suaugusieji, 2017
| Tyrimo tipas: | Išmatuotas |
| Amžius: | 25+ |
| Nuorodos: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
| Apibrėžimai (anglų k.): | Estimated per-capita processed meat intake (g per day) |
Estimated per capita whole grains intake
Suaugusieji, 2017
| Tyrimo tipas: | Išmatuotas |
| Amžius: | 25+ |
| Nuorodos: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
| Apibrėžimai (anglų k.): | Estimated per-capita whole grains intake (g/day) |
Psichinė sveikata – depresijos sutrikimai
Suaugusieji, 2021
| Amžius: | 20+ |
| Teritorija: | Nacionalinis |
| Nuorodos: | 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) |
| Apibrėžimai (anglų k.): | Number living with depression per 100,000 population (adults 20+ years) |
Vyrai, 2021
| Amžius: | 20+ |
| Teritorija: | Nacionalinis |
| Nuorodos: | 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) |
| Apibrėžimai (anglų k.): | Number living with depression per 100,000 population (adults 20+ years) |
Moterys, 2021
| Amžius: | 20+ |
| Teritorija: | Nacionalinis |
| Nuorodos: | 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) |
| Apibrėžimai (anglų k.): | Number living with depression per 100,000 population (adults 20+ years) |
Vaikai, 2021
| Teritorija: | Nacionalinis |
| Nuorodos: | 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) |
| Apibrėžimai (anglų k.): | Number living with depressive disorder per 100,000 population (Under 20 years of age) |
Berniukai, 2021
| Teritorija: | Nacionalinis |
| Nuorodos: | 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) |
| Apibrėžimai (anglų k.): | Number living with depressive disorder per 100,000 population (Under 20 years of age) |
Merginos, 2021
| Teritorija: | Nacionalinis |
| Nuorodos: | 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) |
| Apibrėžimai (anglų k.): | Number living with depressive disorder per 100,000 population (Under 20 years of age) |
Psichinė sveikata – nerimo sutrikimai
Suaugusieji, 2021
| Amžius: | 20+ |
| Nuorodos: | 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). |
| Apibrėžimai (anglų k.): | Number living with anxiety per 100,000 population |
Vyrai, 2021
| Amžius: | 20+ |
| Nuorodos: | 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). |
| Apibrėžimai (anglų k.): | Number living with anxiety per 100,000 population |
Moterys, 2021
| Amžius: | 20+ |
| Nuorodos: | 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). |
| Apibrėžimai (anglų k.): | Number living with anxiety per 100,000 population |
Vaikai, 2021
| Nuorodos: | 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) |
Berniukai, 2021
| Nuorodos: | 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) |
Merginos, 2021
| Nuorodos: | 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) |
Diabeto paplitimas
Suaugusieji, 2024
| Nuorodos: | Reproduced with kind permission International Diabetes Federation. IDF Diabetes Atlas, 11th edn. Brussels, Belgium:International Diabetes Federation, 2025. http://www.diabetesatlas.org |
Suaugusieji, 2021
| Amžius: | 20-79 |
| Teritorija: | Nacionalinis |
| Nuorodos: | Reproduced with kind permission International Diabetes Federation. IDF Diabetes Atlas, 10th edn. Brussels, Belgium:International Diabetes Federation, 2021. http://www.diabetesatlas.org |
| Apibrėžimai (anglų k.): | Age-adjusted comparative prevalence of diabetes, % |
Suaugusieji, 2019
| Amžius: | 20-79 |
| Nuorodos: | Reproduced with kind permission International Diabetes Federation. IDF Diabetes Atlas, 9th edn. Brussels,Belgium: 2019. Available at: https://www.diabetesatlas.org |
| Apibrėžimai (anglų k.): | 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
Present
Present (voluntary)
Incoming
Absent
Unknown
Last updated November 27, 2022
Download contextual factors as a PDF Contextual factors definitions
