Tonga
Upper-middle income
- Áttekintés
- Az elhízás előfordulása
- Időbeli trendek
- A népesség bontása
- Befolyásoló tényezők
- Komorbiditások
- Gazdasági hatás
- Szabályzatok (csak angol nyelven érhetők el)
- Contextual factors
Report cards
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Befolyásoló tényezők
Elégtelen aktivitás
Üdítőital-fogyasztás
Gyümölcsfogyasztás
Zöldségfogyasztás
Gyorséttermi élelmiszer-fogyasztás
Feldolgozott hús fogyasztása
Gabonafogyasztás
Depresszió
Szorongás
Az elhízás gyökerei »
Like all chronic diseases, the root causes/drivers of obesity are complex. Select here to view 'other' root causes/drivers.Szoptatás
Riport letöltése
Komorbiditások
Gazdasági hatás
Szabályzatok (csak angol nyelven érhetők el)
Elhízásra vonatkozó stratégia nemzeti szinten
Táplálkozásra vagy egészségre vonatkozó stratégia
Fizikai aktivitás
Élelmiszerekre és italokra vonatkozó adók/támogatások
Elhízásra vonatkozó stratégiák transznacionális szinten
NCD-stratégia
Egészségügyi hatékonyságról szóló áttekintések
Szoptatás
Obesity Target
Riport letöltése
Contextual factors
Az elhzs el?fordulsa
Feln?ttek, 2017
| Felmrs tpusa: | Mrt |
| letkor: | 18-69 |
| Minta nagysga: | 3858 |
| rintett terlet: | Orszgos |
| Referencik: | Tonga STEPS Survey 2017 https://extranet.who.int/ncdsmicrodata/index.php/catalog/713 (Last accessed 13.10.20) |
| Hacsak msknt nem jelezzk, a tlsly 25 kg s 29,9 kg/m kztti BMI-re, az elhzs 30 kg/m-nl nagyobb BMI-re utal.. | |
Feln?ttek, 2012
| Felmrs tpusa: | Mrt |
| letkor: | 25-64 |
| Minta nagysga: | 2599 |
| rintett terlet: | Orszgos |
| Referencik: | STEPS Survey Tonga 2012 available at https://www.who.int/ncds/surveillance/steps/2012_Tonga_STEPSReport.pdf (last accessed 04.05.2020) |
| Jegyzetek: | STEPS |
| Hacsak msknt nem jelezzk, a tlsly 25 kg s 29,9 kg/m kztti BMI-re, az elhzs 30 kg/m-nl nagyobb BMI-re utal.. | |
Feln?ttek, 2004
| Felmrs tpusa: | Mrt |
| letkor: | 15-64 |
| Minta nagysga: | 958 |
| rintett terlet: | Orszgos |
| Referencik: | Tonga STEPS Survey 2004 |
| Hacsak msknt nem jelezzk, a tlsly 25 kg s 29,9 kg/m kztti BMI-re, az elhzs 30 kg/m-nl nagyobb BMI-re utal.. | |
Feln?ttek, 1998-2000
| Felmrs tpusa: | Mrt |
| letkor: | 15-85 |
| Minta nagysga: | 1024 |
| rintett terlet: | Orszgos |
| Referencik: | 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. |
| Hacsak msknt nem jelezzk, a tlsly 25 kg s 29,9 kg/m kztti BMI-re, az elhzs 30 kg/m-nl nagyobb BMI-re utal.. | |
Gyermekek, 2017
| Felmrs tpusa: | nbevalls |
| letkor: | 13-17 |
| Minta nagysga: | 3333 |
| rintett terlet: | Orszgos |
| Referencik: | Tonga - Global School-Based Student Health Survey 2017 https://www.who.int/ncds/surveillance/gshs/tonga/en/ (Last accessed 20.10.20) |
| Cutoffs: | WHO |
Gyermekek, 2010
| Felmrs tpusa: | nbevalls |
| letkor: | 13-15 |
| Minta nagysga: | 2111 |
| rintett terlet: | Orszgos |
| Referencik: | Global School Health Student Survey Factsheet Tonga, available at https://www.who.int/ncds/surveillance/gshs/2010_GSHS_FS_Tonga.pdf?ua=1 (last accessed 14.12.20) |
| Cutoffs: | WHO |
Gyermekek, 2002-2003
| Felmrs tpusa: | Mrt |
| letkor: | 5-11 |
| Minta nagysga: | 895 |
| Referencik: | Shoko Fukuyama a; Tsukasa Inaoka b; Yasuhiro Matsumura c; Taro Yamauchi a; Kazumi Natsuhara d; Ryosuke kimura e; Ryutaro Ohtsuka f. Anthropometry of 5-19-year-old Tongan children with special interest in the high prevalence of obesity among adolescent girls. Annals of Human Biology, Volume 32, Issue 6 November 2005 , pages 714 - 723 |
| Jegyzetek: | 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, 2019
| Felmrs tpusa: | Mrt |
| letkor: | 0-5 |
| Minta nagysga: | 1271 |
| rintett terlet: | Orszgos |
| Referencik: | Tonga Multiple Indicator Cluster Survey 2019, Survey Findings Report. Nuku’alofa, Tonga: Tonga Statistics Department |
| Jegyzetek: | Infants. |
| Defincik (csak angol nyelven rhet?k el): | Weight for height. Overweight = +2SD-+3SD. Obesity = >+3SD |
| Cutoffs: | Other |
0-5 years, 2019
| letkor: | 0-5 |
| Minta nagysga: | 1271 |
| Referencik: | MICS: Tonga Multiple Indicator Cluster Survey 2019, Survey Findings Report. Nuku’alofa, Tonga: Tonga Statistics Department |
| Jegyzetek: | 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. |
| Defincik (csak angol nyelven rhet?k el): | =>+2SD |
0-5 years, 2012
| letkor: | 0-5 |
| Referencik: | DHS-Style: Tonga demographic and health survey 2012. Noumea, New Caledonia: Secretariat of the Pacific Community, 2013. |
| Jegyzetek: | 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. |
| Defincik (csak angol nyelven rhet?k el): | =>+2SD |
% Adults living with obesity in Tonga 1998-2017
Frfiak
| Felmrs tpusa: | Mrt |
| Referencik: | 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. 2004: Tonga STEPS Survey 2004 2012: STEPS Survey Tonga 2012 available at https://www.who.int/ncds/surveillance/steps/2012_Tonga_STEPSReport.pdf (last accessed 04.05.2020) 2017: Tonga STEPS Survey 2017 https://extranet.who.int/ncdsmicrodata/index.php/catalog/713 (Last accessed 13.10.20) |
| Hacsak msknt nem jelezzk, a tlsly 25 kg s 29,9 kg/m kztti BMI-re, az elhzs 30 kg/m-nl nagyobb BMI-re utal.. | |
| Klnbz? mdszertanokat hasznltak ezen adatok sszegy?jtsre, gy a klnbz? felmrsek adatai nem felttlenl lehetnek szigoran sszehasonlthatk. Krjk, ellen?rizze az eredeti adatforrsokban az alkalmazott mdszereket | |
N?k
| Felmrs tpusa: | Mrt |
| Referencik: | 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. 2004: Tonga STEPS Survey 2004 2012: STEPS Survey Tonga 2012 available at https://www.who.int/ncds/surveillance/steps/2012_Tonga_STEPSReport.pdf (last accessed 04.05.2020) 2017: Tonga STEPS Survey 2017 https://extranet.who.int/ncdsmicrodata/index.php/catalog/713 (Last accessed 13.10.20) |
| Hacsak msknt nem jelezzk, a tlsly 25 kg s 29,9 kg/m kztti BMI-re, az elhzs 30 kg/m-nl nagyobb BMI-re utal.. | |
| Klnbz? mdszertanokat hasznltak ezen adatok sszegy?jtsre, gy a klnbz? felmrsek adatai nem felttlenl lehetnek szigoran sszehasonlthatk. Krjk, ellen?rizze az eredeti adatforrsokban az alkalmazott mdszereket | |
% Adults living with overweight or obesity in Tonga 1998-2017
Frfiak
| Felmrs tpusa: | Mrt |
| Referencik: | 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. 2004: Tonga STEPS Survey 2004 2012: STEPS Survey Tonga 2012 available at https://www.who.int/ncds/surveillance/steps/2012_Tonga_STEPSReport.pdf (last accessed 04.05.2020) 2017: Tonga STEPS Survey 2017 https://extranet.who.int/ncdsmicrodata/index.php/catalog/713 (Last accessed 13.10.20) |
| Hacsak msknt nem jelezzk, a tlsly 25 kg s 29,9 kg/m kztti BMI-re, az elhzs 30 kg/m-nl nagyobb BMI-re utal.. | |
| Klnbz? mdszertanokat hasznltak ezen adatok sszegy?jtsre, gy a klnbz? felmrsek adatai nem felttlenl lehetnek szigoran sszehasonlthatk. Krjk, ellen?rizze az eredeti adatforrsokban az alkalmazott mdszereket | |
N?k
| Felmrs tpusa: | Mrt |
| Referencik: | 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. 2004: Tonga STEPS Survey 2004 2012: STEPS Survey Tonga 2012 available at https://www.who.int/ncds/surveillance/steps/2012_Tonga_STEPSReport.pdf (last accessed 04.05.2020) 2017: Tonga STEPS Survey 2017 https://extranet.who.int/ncdsmicrodata/index.php/catalog/713 (Last accessed 13.10.20) |
| Hacsak msknt nem jelezzk, a tlsly 25 kg s 29,9 kg/m kztti BMI-re, az elhzs 30 kg/m-nl nagyobb BMI-re utal.. | |
| Klnbz? mdszertanokat hasznltak ezen adatok sszegy?jtsre, gy a klnbz? felmrsek adatai nem felttlenl lehetnek szigoran sszehasonlthatk. Krjk, ellen?rizze az eredeti adatforrsokban az alkalmazott mdszereket | |
% Adults living with obesity in selected countries in the Asia/Oceania Region 1975-2019, kiválasztott országok
Férfiak
| Referenciák: | 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: Solon FS. Nutrition related chronic diseases in the Philippines. Makati city, Philippines: Nutrition Center of the Philippines Report Series, vol 2, No.1, cited in Reference 53 1995, 1996: Martorell R, Khan LK, Hughes ML, Grummer Strawn LM. Obesity in women from developing countries. EJCN (2000) 54;247-252 1998: Data provided by the Philippean Depatment of Health, Dr C. Barbu, data reanalysed by Dr Charmaine Duante. 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 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 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: Mohamud WN, Musa KI, Khir AS, Ismail AA, Ismail IS, Kadir KA, Kamaruddin NA, Yaacob NA, Mustafa N, Ali O, Isa SH, Bebakar WM.Prevalence of overweight and obesity among adult Malaysians: an update. Asia Pac J Clin Nutr. 2011;20(1):35-41. 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: New Zealand Health Survey 2011/12. https://minhealthnz.shinyapps.io/nz-health-survey-2023-24-annual-data-explorer/ (last accessed 19.11.25) 2012: New Zealand Health Survey 2012/13. https://www.health.govt.nz/publications/annual-update-of-key-results-202324-new-zealand-health-survey [Last accessed 19.11.25] 2014: New Zealand Health Survey 2014/15. https://www.health.govt.nz/publications/annual-update-of-key-results-202324-new-zealand-health-survey [Last accessed 19.11.25] 2015: Li, Y., Teng, D., Shi, X., Teng, X., Teng, W., Shan, Z., Lai, Y. and China National Diabetes and Metabolic Disorders Study Group, 2021. Changes in the prevalence of obesity and hypertension and demographic risk factor profiles in China over 10 years: two national cross-sectional surveys. The Lancet Regional Health-Western Pacific, 15, p.100227. 2016: Ministry of Health. 2018. Annual Data Explorer 2017/18: New Zealand Health Survey [Data File]. URL: https://minhealthnz.shinyapps.io/nz-health-survey-2017-18-annual-data-explorer/ (last accessed 19.11.25) 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 (last accessed 19.11.25) 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 [Last Accessed 19.11.25] 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: National Institute of Population Research and Training, Medical Education and Family Welfare Division, Ministry of Health and Family Welfare, Dhaka, Bangladesh, and The DHS Program, ICF, Rockville, Maryland, USA. Available at https://dhsprogram.com/publications/publication-FR386-DHS-Final-Reports.cfm (last accessed 05.02.25) 2023: Annual Update of Key Results 2023/24: New Zealand Health Survey. https://www.health.govt.nz/publications/annual-update-of-key-results-202324-new-zealand-health-survey [Last accessed 19.11.25] 2024: Annual Update of Key Results 2024/25: New Zealand Health Survey. https://www.health.govt.nz/publications/annual-update-of-key-results-202425-new-zealand-health-survey [Last accessed 19.11.25] |
| Különböző módszertanokat használtak ezen adatok összegyűjtésére, így a különböző felmérések adatai nem feltétlenül lehetnek szigorúan összehason | |
Nők
| Referenciák: | 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: Solon FS. Nutrition related chronic diseases in the Philippines. Makati city, Philippines: Nutrition Center of the Philippines Report Series, vol 2, No.1, cited in Reference 53 1995, 1996: Martorell R, Khan LK, Hughes ML, Grummer Strawn LM. Obesity in women from developing countries. EJCN (2000) 54;247-252 1998: Data provided by the Philippean Depatment of Health, Dr C. Barbu, data reanalysed by Dr Charmaine Duante. 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 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 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: Mohamud WN, Musa KI, Khir AS, Ismail AA, Ismail IS, Kadir KA, Kamaruddin NA, Yaacob NA, Mustafa N, Ali O, Isa SH, Bebakar WM.Prevalence of overweight and obesity among adult Malaysians: an update. Asia Pac J Clin Nutr. 2011;20(1):35-41. 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: New Zealand Health Survey 2011/12. https://minhealthnz.shinyapps.io/nz-health-survey-2023-24-annual-data-explorer/ (last accessed 19.11.25) 2012: New Zealand Health Survey 2012/13. https://www.health.govt.nz/publications/annual-update-of-key-results-202324-new-zealand-health-survey [Last accessed 19.11.25] 2014: New Zealand Health Survey 2014/15. https://www.health.govt.nz/publications/annual-update-of-key-results-202324-new-zealand-health-survey [Last accessed 19.11.25] 2015: Li, Y., Teng, D., Shi, X., Teng, X., Teng, W., Shan, Z., Lai, Y. and China National Diabetes and Metabolic Disorders Study Group, 2021. Changes in the prevalence of obesity and hypertension and demographic risk factor profiles in China over 10 years: two national cross-sectional surveys. The Lancet Regional Health-Western Pacific, 15, p.100227. 2016: Ministry of Health. 2018. Annual Data Explorer 2017/18: New Zealand Health Survey [Data File]. URL: https://minhealthnz.shinyapps.io/nz-health-survey-2017-18-annual-data-explorer/ (last accessed 19.11.25) 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 (last accessed 19.11.25) 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 [Last Accessed 19.11.25] 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: National Institute of Population Research and Training, Medical Education and Family Welfare Division, Ministry of Health and Family Welfare, Dhaka, Bangladesh, and The DHS Program, ICF, Rockville, Maryland, USA. Available at https://dhsprogram.com/publications/publication-FR386-DHS-Final-Reports.cfm (last accessed 05.02.25) 2023: Annual Update of Key Results 2023/24: New Zealand Health Survey. https://www.health.govt.nz/publications/annual-update-of-key-results-202324-new-zealand-health-survey [Last accessed 19.11.25] 2024: Annual Update of Key Results 2024/25: New Zealand Health Survey. https://www.health.govt.nz/publications/annual-update-of-key-results-202425-new-zealand-health-survey [Last accessed 19.11.25] |
| Különböző módszertanokat használtak ezen adatok összegyűjtésére, így a különböző felmérések adatai nem feltétlenül lehetnek szigorúan összehason | |
Tlsly/elhzs letkor szerint
Feln?ttek, 2012
| Felmrs tpusa: | Mrt |
| Minta nagysga: | 2599 |
| rintett terlet: | Orszgos |
| Referencik: | STEPS Survey Tonga 2012 available at https://www.who.int/ncds/surveillance/steps/2012_Tonga_STEPSReport.pdf (last accessed 04.05.2020) |
| Jegyzetek: | STEPS |
| Hacsak msknt nem jelezzk, a tlsly 25 kg s 29,9 kg/m kztti BMI-re, az elhzs 30 kg/m-nl nagyobb BMI-re utal.. | |
Tlsly/elhzs rgi szerint
0-5 years, 2019
| Minta nagysga: | 1271 |
| Referencik: | MICS: Tonga Multiple Indicator Cluster Survey 2019, Survey Findings Report. Nuku’alofa, Tonga: Tonga Statistics Department |
| Jegyzetek: | 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. |
| Defincik (csak angol nyelven rhet?k el): | =>+2SD |
0-5 years, 2012
| Referencik: | DHS-Style: Tonga demographic and health survey 2012. Noumea, New Caledonia: Secretariat of the Pacific Community, 2013. |
| Jegyzetek: | 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. |
| Defincik (csak angol nyelven rhet?k el): | =>+2SD |
Tlsly/elhzs trsadalmi-gazdasgi csoport szerint
0-5 years, 2019
| Minta nagysga: | 1271 |
| Referencik: | MICS: Tonga Multiple Indicator Cluster Survey 2019, Survey Findings Report. Nuku’alofa, Tonga: Tonga Statistics Department |
| Jegyzetek: | 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. |
| Defincik (csak angol nyelven rhet?k el): | =>+2SD |
0-5 years, 2012
| Referencik: | DHS-Style: Tonga demographic and health survey 2012. Noumea, New Caledonia: Secretariat of the Pacific Community, 2013. |
| Jegyzetek: | 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. |
| Defincik (csak angol nyelven rhet?k el): | =>+2SD |
Double burden of underweight & overweight
Feln?ttek, 2022
| Felmrs tpusa: | Mrt |
| letkor: | 20+ |
| Referencik: | 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. |
| Jegyzetek: | Age Standardised estimates |
| Defincik (csak angol nyelven rhet?k el): | Combined prevalence of BMI<18.5 kg/m² and BMI>=30 kg/m² (double burden of underweight and obesity) |
Gyermekek, 2022
| Felmrs tpusa: | Mrt |
| letkor: | 5-19 |
| Referencik: | 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. |
| Jegyzetek: | Age standardised estimates |
| Defincik (csak angol nyelven rhet?k el): | Combined prevalence of BMI < -2SD and BMI > 2SD (double burden of thinness and obesity) |
| Cutoffs: | BMI < -2SD and BMI > 2SD |
0-5 years, 2019
| Felmrs tpusa: | Mrt |
| letkor: | 0-5 |
| Referencik: | United Nations Children’s Fund, Division of Data, Analysis, Planning and Monitoring (2025). Global UNICEF Global Databases: Overlapping Stunting, Wasting and Overweight (Survey Estimates), 2025, New York. For more information, visit: https://data.unicef.org/topic/nutrition/malnutrition/ [Accessed 06.08.25] |
| Jegyzetek: | Tonga Multiple Indicator Cluster Survey 2019, Survey Findings Report. Nuku’alofa, Tonga: Tonga Statistics Department |
| Defincik (csak angol nyelven rhet?k el): | Combined percentage of children under 5 years of age who are either wasted, stunted, or overweight (falling below -2 standard deviations from the median weight-for-height, falling below -2 standard deviations from the median height for age, or falling at or above +2 standard deviations from the median weight-for-height of the reference population) |
| Cutoffs: | WHZ <-2, HAZ <-2 and WHZ >+2 |
Elgtelen fizikai aktivits
Feln?ttek, 2016
| Referencik: | 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 |
Frfiak, 2016
| Referencik: | 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 |
N?k, 2016
| Referencik: | 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 |
Gyermekek, 2016
| Felmrs tpusa: | nbevalls |
| letkor: | 11-17 |
| Referencik: | Global Health Observatory data repository, World Health Organisation, https://apps.who.int/gho/data/node.main.A893ADO?lang=en (last accessed 16.03.21) |
| Jegyzetek: | % of school going adolescents not meeting WHO recommendations on Physical Activity for Health, i.e. doing less than 60 minutes of moderate- to vigorous-intensity physical activity daily. |
| Defincik (csak angol nyelven rhet?k el): | % Adolescents insufficiently active (age standardised estimate) |
Fik, 2016
| Felmrs tpusa: | nbevalls |
| letkor: | 11-17 |
| Referencik: | Global Health Observatory data repository, World Health Organisation, https://apps.who.int/gho/data/node.main.A893ADO?lang=en (last accessed 16.03.21) |
| Jegyzetek: | % of school going adolescents not meeting WHO recommendations on Physical Activity for Health, i.e. doing less than 60 minutes of moderate- to vigorous-intensity physical activity daily. |
| Defincik (csak angol nyelven rhet?k el): | % Adolescents insufficiently active (age standardised estimate) |
Lnyok, 2016
| Felmrs tpusa: | nbevalls |
| letkor: | 11-17 |
| Referencik: | Global Health Observatory data repository, World Health Organisation, https://apps.who.int/gho/data/node.main.A893ADO?lang=en (last accessed 16.03.21) |
| Jegyzetek: | % of school going adolescents not meeting WHO recommendations on Physical Activity for Health, i.e. doing less than 60 minutes of moderate- to vigorous-intensity physical activity daily. |
| Defincik (csak angol nyelven rhet?k el): | % Adolescents insufficiently active (age standardised estimate) |
Gyermekek, 2010
| letkor: | 11-17 |
| Referencik: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A893?lang=en |
| Jegyzetek: | % of school going adolescents not meeting WHO recommendations on Physical Activity for Health, i.e. doing less than 60 minutes of moderate- to vigorous-intensity physical activity daily. |
| Defincik (csak angol nyelven rhet?k el): | % Adolescents insufficiently active (age standardised estimate) |
Fik, 2010
| letkor: | 11-17 |
| Referencik: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A893?lang=en |
| Jegyzetek: | % of school going adolescents not meeting WHO recommendations on Physical Activity for Health, i.e. doing less than 60 minutes of moderate- to vigorous-intensity physical activity daily. |
| Defincik (csak angol nyelven rhet?k el): | % Adolescents insufficiently active (age standardised estimate) |
Lnyok, 2010
| letkor: | 11-17 |
| Referencik: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A893?lang=en |
| Jegyzetek: | % of school going adolescents not meeting WHO recommendations on Physical Activity for Health, i.e. doing less than 60 minutes of moderate- to vigorous-intensity physical activity daily. |
| Defincik (csak angol nyelven rhet?k el): | % Adolescents insufficiently active (age standardised estimate) |
Sznsavas dt?ital fogyasztsnak tlagos napi gyakorisga
Gyermekek, 2010-2015
| Felmrs tpusa: | Mrt |
| letkor: | 12-17 |
| Referencik: | Beal et al. (2019). Global Patterns of Adolescent Fruit, Vegetable, Carbonated Soft Drink, and Fast-food consumption: A meta-analysis of global school-based student health surveys. Food and Nutrition Bulletin. https://doi.org/10.1177/0379572119848287 sourced from Food Systems Dashboard http://www.foodsystemsdashboard.org/food-system |
Estimated per capita fruit intake
Feln?ttek, 2017
| letkor: | 25+ |
| rintett terlet: | Orszgos |
| Referencik: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
| Defincik (csak angol nyelven rhet?k el): | Estimated per capita fruit intake (g/day) |
A napi egynl ritkbban trtn? gymlcsfogyaszts el?fordulsa
Gyermekek, 2010
| Felmrs tpusa: | nbevalls |
| letkor: | 12-17 |
| rintett terlet: | Orszgos |
| Referencik: | Global School-based Student Health Surveys. Beal et al (2019). Global Patterns of Adolescent Fruit, Vegetable, Carbonated Soft Drink, and Fast-food consumption: A meta-analysis of global school-based student health surveys. Food and Nutrition Bulletin. https://doi.org/10.1177/0379572119848287. Sourced from Food Systems Dashboard http://www.foodsystemsdashboard.org/food-system |
| Defincik (csak angol nyelven rhet?k el): | Prevalence of less-than-daily fruit consumption (% less-than-daily fruit consumption) |
A napi egynl ritkbban trtn? zldsgfogyaszts el?fordulsa
Gyermekek, 2010
| Felmrs tpusa: | nbevalls |
| letkor: | 12-17 |
| rintett terlet: | Orszgos |
| Referencik: | Beal et al. (2019). Global Patterns of Adolescent Fruit, Vegetable, Carbonated Soft Drink, and Fast-food consumption: A meta-analysis of global school-based student health surveys. Food and Nutrition Bulletin. https://doi.org/10.1177/0379572119848287 sourced from Food Systems Dashboard http://www.foodsystemsdashboard.org/food-system |
| Defincik (csak angol nyelven rhet?k el): | Prevalence of less-than-daily vegetable consumption (% less-than-daily vegetable consumption) |
Gyorsttermi fogyaszts tlagos heti gyakorisga
Gyermekek, 2010-2015
| letkor: | 12-17 |
| Referencik: | Beal et al. (2019). Global Patterns of Adolescent Fruit, Vegetable, Carbonated Soft Drink, and Fast-food consumption: A meta-analysis of global school-based student health surveys. Food and Nutrition Bulletin. https://doi.org/10.1177/0379572119848287 sourced from Food Systems Dashboard http://www.foodsystemsdashboard.org/food-system |
Estimated per capita processed meat intake
Feln?ttek, 2017
| letkor: | 25+ |
| rintett terlet: | Orszgos |
| Referencik: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
| Defincik (csak angol nyelven rhet?k el): | Estimated per capita processed meat intake (g per day) |
Estimated per capita whole grains intake
Feln?ttek, 2017
| Felmrs tpusa: | Mrt |
| letkor: | 25+ |
| Referencik: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
| Defincik (csak angol nyelven rhet?k el): | Estimated per-capita whole grains intake (g/day) |
Mentlis egszsg depresszis zavarok
Feln?ttek, 2021
| letkor: | 20+ |
| rintett terlet: | Orszgos |
| Referencik: | 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) |
| Defincik (csak angol nyelven rhet?k el): | Number living with depression per 100,000 population (adults 20+ years) |
Frfiak, 2021
| letkor: | 20+ |
| rintett terlet: | Orszgos |
| Referencik: | 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) |
| Defincik (csak angol nyelven rhet?k el): | Number living with depression per 100,000 population (adults 20+ years) |
N?k, 2021
| letkor: | 20+ |
| rintett terlet: | Orszgos |
| Referencik: | 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) |
| Defincik (csak angol nyelven rhet?k el): | Number living with depression per 100,000 population (adults 20+ years) |
Feln?ttek, 2015
| Referencik: | 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. |
| Defincik (csak angol nyelven rhet?k el): | % of population with depression disorders |
Gyermekek, 2021
| rintett terlet: | Orszgos |
| Referencik: | 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) |
| Defincik (csak angol nyelven rhet?k el): | Number living with depressive disorder per 100,000 population (Under 20 years of age) |
Fik, 2021
| rintett terlet: | Orszgos |
| Referencik: | 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) |
| Defincik (csak angol nyelven rhet?k el): | Number living with depressive disorder per 100,000 population (Under 20 years of age) |
Lnyok, 2021
| rintett terlet: | Orszgos |
| Referencik: | 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) |
| Defincik (csak angol nyelven rhet?k el): | Number living with depressive disorder per 100,000 population (Under 20 years of age) |
Mentlis egszsg szorongsos zavarok
Feln?ttek, 2021
| letkor: | 20+ |
| Referencik: | 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). |
| Defincik (csak angol nyelven rhet?k el): | Number living with anxiety per 100,000 population |
Frfiak, 2021
| letkor: | 20+ |
| Referencik: | 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). |
| Defincik (csak angol nyelven rhet?k el): | Number living with anxiety per 100,000 population |
N?k, 2021
| letkor: | 20+ |
| Referencik: | 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). |
| Defincik (csak angol nyelven rhet?k el): | Number living with anxiety per 100,000 population |
Feln?ttek, 2015
| Referencik: | 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. |
| Defincik (csak angol nyelven rhet?k el): | % of population with anxiety disorders |
Gyermekek, 2021
| Referencik: | 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) |
Fik, 2021
| Referencik: | 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) |
Lnyok, 2021
| Referencik: | 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) |
05 hnapos kor kztt kizrlag szoptatssal tpllt csecsem?k szzalkos arnya
0-5 years, 2007-2023
| Referencik: | Tonga Multiple Indicator Cluster Survey 2019, Survey Findings Report. Nuku’alofa, Tonga: Tonga Statistics Department |
| Jegyzetek: | 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. |
Magas vérnyomás
Feln?ttek, 2015
| Referencik: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A875?lang=en |
| Defincik (csak angol nyelven rhet?k el): | Age Standardised estimated % Raised blood pressure 2015 (SBP>=140 OR DBP>=90). |
Frfiak, 2015
| Referencik: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A875?lang=en |
| Defincik (csak angol nyelven rhet?k el): | Age Standardised estimated % Raised blood pressure 2015 (SBP>=140 OR DBP>=90). |
N?k, 2015
| Referencik: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A875?lang=en |
| Defincik (csak angol nyelven rhet?k el): | Age Standardised estimated % Raised blood pressure 2015 (SBP>=140 OR DBP>=90). |
Magas koleszterinszint
Feln?ttek, 2008
| Referencik: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A885 |
| Defincik (csak angol nyelven rhet?k el): | % Raised total cholesterol (>= 5.0 mmol/L) (age-standardized estimate). |
Frfiak, 2008
| Referencik: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A885 |
| Defincik (csak angol nyelven rhet?k el): | % Raised total cholesterol (>= 5.0 mmol/L) (age-standardized estimate). |
N?k, 2008
| Referencik: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A885 |
| Defincik (csak angol nyelven rhet?k el): | % Raised total cholesterol (>= 5.0 mmol/L) (age-standardized estimate). |
Magas homi vrcukorszint
Frfiak, 2014
| Referencik: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A869?lang=en |
| Defincik (csak angol nyelven rhet?k el): | Age Standardised % raised fasting blood glucose (>= 7.0 mmol/L or on medication). |
N?k, 2014
| Referencik: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A869?lang=en |
| Defincik (csak angol nyelven rhet?k el): | Age Standardised % raised fasting blood glucose (>= 7.0 mmol/L or on medication). |
Cukorbetegsg el?fordulsi arnya
Feln?ttek, 2024
| Referencik: | Reproduced with kind permission International Diabetes Federation. IDF Diabetes Atlas, 11th edn. Brussels, Belgium:International Diabetes Federation, 2025. http://www.diabetesatlas.org |
Feln?ttek, 2021
| letkor: | 20-79 |
| rintett terlet: | Orszgos |
| Referencik: | Reproduced with kind permission International Diabetes Federation. IDF Diabetes Atlas, 10th edn. Brussels, Belgium:International Diabetes Federation, 2021. http://www.diabetesatlas.org |
| Defincik (csak angol nyelven rhet?k el): | Age-adjusted comparative prevalence of diabetes, % |
Feln?ttek, 2019
| letkor: | 20-79 |
| Referencik: | Reproduced with kind permission International Diabetes Federation. IDF Diabetes Atlas, 9th edn. Brussels,Belgium: 2019. Available at: https://www.diabetesatlas.org |
| Defincik (csak angol nyelven rhet?k el): | Diabetes age-adjusted comparative prevalence (%). |
Feln?ttek, 2017
| Referencik: | Reproduced with kind permission of IDF, International Diabetes Federation. IDF Diabetes Atlas, 8th edition. Brussels, Belgium: International Diabetes Federation, 2017. http://www.diabetesatlas.org |
| Defincik (csak angol nyelven rhet?k el): | Diabetes age-adjusted comparative prevalence (%). |
Economic impact of overweight and obesity
Policies, Interventions and Actions
Contextual factors
Disclaimer: These contextual factors should be interpreted with care. Results are updated as regularly as possible and use very specific criteria. The criteria used and full definitions are available for download at the bottom of this page.
Tap on a tick to find out more about policies influencing this factor.
Labelling
| Is there mandatory nutrition labelling? | Absent |
| Front-of-package labelling? | Absent |
| Back-of-pack nutrition declaration? | Absent |
| 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)? | 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? | Absent |
| National target(s) on reducing obesity? | Absent |
| Promotion of breastfeeding? | Present |
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