Тонга
Upper-middle income
- Общ преглед
- Разпространение на затлъстяването
- Тенденции във времето
- Разбивки на населението
- Причини
- Съпътстващи заболявания
- Икономическо въздействие
- Политики
- Contextual factors
Report cards
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Разбивки на населението
Причини
Недостатъчна активност
Консумация на безалкохолни напитки
Консумация на плодове
Консумация на зеленчуци
Консумация на храни от заведения за бързо хранене
Консумация на преработено месо
Консумация на зърнени култури
Депресия
Тревожност
Причини за затлъстяването »
Like all chronic diseases, the root causes/drivers of obesity are complex. Select here to view 'other' root causes/drivers.Кърмене
Изтегляне на карта за отчитане
Съпътстващи заболявания
Икономическо въздействие
Политики
Contextual factors
Разпространение на затлъстяването
Възрастни, 2017
| Тип анкета: | Измерено |
| Възраст: | 18-69 |
| Количество на пробите: | 3858 |
| Обхваната зона: | Национално |
| Референции: | Tonga STEPS Survey 2017 https://extranet.who.int/ncdsmicrodata/index.php/catalog/713 (Last accessed 13.10.20) |
| Освен ако не е посочено друго, наднорменото тегло се отнася до ИТМ между 25 kg и 29,9°kg/m², затлъстяването се отнася до ИТМ, по-голям от 30°kg/m². | |
Възрастни, 2012
| Тип анкета: | Измерено |
| Възраст: | 25-64 |
| Количество на пробите: | 2599 |
| Обхваната зона: | Национално |
| Референции: | STEPS Survey Tonga 2012 available at https://www.who.int/ncds/surveillance/steps/2012_Tonga_STEPSReport.pdf (last accessed 04.05.2020) |
| Забележки: | STEPS |
| Освен ако не е посочено друго, наднорменото тегло се отнася до ИТМ между 25 kg и 29,9°kg/m², затлъстяването се отнася до ИТМ, по-голям от 30°kg/m². | |
Възрастни, 2004
| Тип анкета: | Измерено |
| Възраст: | 15-64 |
| Количество на пробите: | 958 |
| Обхваната зона: | Национално |
| Референции: | Tonga STEPS Survey 2004 |
| Освен ако не е посочено друго, наднорменото тегло се отнася до ИТМ между 25 kg и 29,9°kg/m², затлъстяването се отнася до ИТМ, по-голям от 30°kg/m². | |
Възрастни, 1998-2000
| Тип анкета: | Измерено |
| Възраст: | 15-85 |
| Количество на пробите: | 1024 |
| Обхваната зона: | Национално |
| Референции: | 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. |
| Освен ако не е посочено друго, наднорменото тегло се отнася до ИТМ между 25 kg и 29,9°kg/m², затлъстяването се отнася до ИТМ, по-голям от 30°kg/m². | |
Деца, 2017
| Тип анкета: | Самоотчитане |
| Възраст: | 13-17 |
| Количество на пробите: | 3333 |
| Обхваната зона: | Национално |
| Референции: | Tonga - Global School-Based Student Health Survey 2017 https://www.who.int/ncds/surveillance/gshs/tonga/en/ (Last accessed 20.10.20) |
| Cutoffs: | WHO |
Деца, 2010
| Тип анкета: | Самоотчитане |
| Възраст: | 13-15 |
| Количество на пробите: | 2111 |
| Обхваната зона: | Национално |
| Референции: | 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 |
Деца, 2002-2003
| Тип анкета: | Измерено |
| Възраст: | 5-11 |
| Количество на пробите: | 895 |
| Референции: | 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 |
| Забележки: | 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
| Тип анкета: | Измерено |
| Възраст: | 0-5 |
| Количество на пробите: | 1271 |
| Обхваната зона: | Национално |
| Референции: | Tonga Multiple Indicator Cluster Survey 2019, Survey Findings Report. Nuku’alofa, Tonga: Tonga Statistics Department |
| Забележки: | Infants. |
| Определения: | Weight for height. Overweight = +2SD-+3SD. Obesity = >+3SD |
| Cutoffs: | Other |
0-5 years, 2019
| Възраст: | 0-5 |
| Количество на пробите: | 1271 |
| Референции: | MICS: Tonga Multiple Indicator Cluster Survey 2019, Survey Findings Report. Nuku’alofa, Tonga: Tonga Statistics Department |
| Забележки: | 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. |
| Определения: | =>+2SD |
0-5 years, 2012
| Възраст: | 0-5 |
| Референции: | DHS-Style: Tonga demographic and health survey 2012. Noumea, New Caledonia: Secretariat of the Pacific Community, 2013. |
| Забележки: | 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. |
| Определения: | =>+2SD |
% Adults living with obesity in Tonga 1998-2017
Мъже
| Тип анкета: | Измерено |
| Референции: | 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) |
| Освен ако не е посочено друго, наднорменото тегло се отнася до ИТМ между 25 kg и 29,9°kg/m², затлъстяването се отнася до ИТМ, по-голям от 30°kg/m². | |
| За събиране на тези данни може да са използвани различни методологии, така че данните от различни проучвания може да не са строго сравними. Проверете при оригиналните източници на данни за използваните методологии | |
Жени
| Тип анкета: | Измерено |
| Референции: | 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) |
| Освен ако не е посочено друго, наднорменото тегло се отнася до ИТМ между 25 kg и 29,9°kg/m², затлъстяването се отнася до ИТМ, по-голям от 30°kg/m². | |
| За събиране на тези данни може да са използвани различни методологии, така че данните от различни проучвания може да не са строго сравними. Проверете при оригиналните източници на данни за използваните методологии | |
% Adults living with overweight or obesity in Tonga 1998-2017
Мъже
| Тип анкета: | Измерено |
| Референции: | 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) |
| Освен ако не е посочено друго, наднорменото тегло се отнася до ИТМ между 25 kg и 29,9°kg/m², затлъстяването се отнася до ИТМ, по-голям от 30°kg/m². | |
| За събиране на тези данни може да са използвани различни методологии, така че данните от различни проучвания може да не са строго сравними. Проверете при оригиналните източници на данни за използваните методологии | |
Жени
| Тип анкета: | Измерено |
| Референции: | 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) |
| Освен ако не е посочено друго, наднорменото тегло се отнася до ИТМ между 25 kg и 29,9°kg/m², затлъстяването се отнася до ИТМ, по-голям от 30°kg/m². | |
| За събиране на тези данни може да са използвани различни методологии, така че данните от различни проучвания може да не са строго сравними. Проверете при оригиналните източници на данни за използваните методологии | |
% Adults living with obesity in selected countries in the Asia/Oceania Region 1975-2019, избрани държави
Мъже
| Референции: | 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: Ismail MN, Zawaih H, Chee SS, Ng KK. Prevalence of obesity and chronic energy deficiency (CED) in adult Malaysians. Malays J Nutrition. 1995; 1:1-9 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: 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: Ministry of Health and Population - MOHP/Nepal, New ERA/Nepal, and Macro International. 2007. Nepal Demographic and Health Survey 2006. Kathmandu, Nepal: MOHP/Nepal, New ERA/Nepal, and Macro International. 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: Food and Nutrition Research Institute – Department of Science and Technology (FNRI-DOST). 2012. Philippine Nutrition Facts and Figures 2011. DOST Complex, FNRI Bldg., Bicutan, Taguig City, Metro Manila, Philippines. https://enutrition.fnri.dost.gov.ph/facts-and-figures.php?year=2011 [Accessed 14.07.25] 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] 2013: http://www.health.govt.nz/publication/annual-update-key-results-2013-14-new-zealand-health-survey [Last Accessed 19.11.25] 2014: Australian National Health Survey, 2014-15 First Results. Australian Bureau of Statistics. http://www.abs.gov.au/ausstats/abs@.nsf/Latestproducts/4364.0.55.001Appendix22014-15?opendocument&tabname=Notes&prodno=4364.0.55.001&issue=2014-15&num=&view= (last accessed 27th September 2017) 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: Australian National Health Survey 2017-18. http://abs.gov.au/ausstats/abs@.nsf/Lookup/by%20Subject/4364.0.55.001~2017-18~Main%20Features~About%20the%20National%20Health%20Survey~5 (accessed 12.12.18) 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: New Zealand Health Survey 2019/20. https://www.health.govt.nz/publications/annual-update-of-key-results-202324-new-zealand-health-survey [Last accessed 19.11.25] 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: Annual Update of Key Results 2022/23: New Zealand Health Survey. https://www.health.govt.nz/publication/annual-update-key-results-2022-23-new-zealand-health-survey [Last accessed 19.11.25] 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] |
| За събиране на тези данни може да са използвани различни методологии, така че данните от различни проучвания може да не са строго сравними. Проверете при оригиналните източници на данни за използваните методологии | |
Жени
| Референции: | 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: Ismail MN, Zawaih H, Chee SS, Ng KK. Prevalence of obesity and chronic energy deficiency (CED) in adult Malaysians. Malays J Nutrition. 1995; 1:1-9 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: 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: Ministry of Health and Population - MOHP/Nepal, New ERA/Nepal, and Macro International. 2007. Nepal Demographic and Health Survey 2006. Kathmandu, Nepal: MOHP/Nepal, New ERA/Nepal, and Macro International. 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: Food and Nutrition Research Institute – Department of Science and Technology (FNRI-DOST). 2012. Philippine Nutrition Facts and Figures 2011. DOST Complex, FNRI Bldg., Bicutan, Taguig City, Metro Manila, Philippines. https://enutrition.fnri.dost.gov.ph/facts-and-figures.php?year=2011 [Accessed 14.07.25] 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] 2013: http://www.health.govt.nz/publication/annual-update-key-results-2013-14-new-zealand-health-survey [Last Accessed 19.11.25] 2014: Australian National Health Survey, 2014-15 First Results. Australian Bureau of Statistics. http://www.abs.gov.au/ausstats/abs@.nsf/Latestproducts/4364.0.55.001Appendix22014-15?opendocument&tabname=Notes&prodno=4364.0.55.001&issue=2014-15&num=&view= (last accessed 27th September 2017) 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: Australian National Health Survey 2017-18. http://abs.gov.au/ausstats/abs@.nsf/Lookup/by%20Subject/4364.0.55.001~2017-18~Main%20Features~About%20the%20National%20Health%20Survey~5 (accessed 12.12.18) 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: New Zealand Health Survey 2019/20. https://www.health.govt.nz/publications/annual-update-of-key-results-202324-new-zealand-health-survey [Last accessed 19.11.25] 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: Annual Update of Key Results 2022/23: New Zealand Health Survey. https://www.health.govt.nz/publication/annual-update-key-results-2022-23-new-zealand-health-survey [Last accessed 19.11.25] 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] |
| За събиране на тези данни може да са използвани различни методологии, така че данните от различни проучвания може да не са строго сравними. Проверете при оригиналните източници на данни за използваните методологии | |
Наднормено тегло/затлъстяване по възраст
Възрастни, 2012
| Тип анкета: | Измерено |
| Количество на пробите: | 2599 |
| Обхваната зона: | Национално |
| Референции: | STEPS Survey Tonga 2012 available at https://www.who.int/ncds/surveillance/steps/2012_Tonga_STEPSReport.pdf (last accessed 04.05.2020) |
| Забележки: | STEPS |
| Освен ако не е посочено друго, наднорменото тегло се отнася до ИТМ между 25 kg и 29,9°kg/m², затлъстяването се отнася до ИТМ, по-голям от 30°kg/m². | |
Наднормено тегло/затлъстяване по регион
0-5 years, 2019
| Количество на пробите: | 1271 |
| Референции: | MICS: Tonga Multiple Indicator Cluster Survey 2019, Survey Findings Report. Nuku’alofa, Tonga: Tonga Statistics Department |
| Забележки: | 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. |
| Определения: | =>+2SD |
0-5 years, 2012
| Референции: | DHS-Style: Tonga demographic and health survey 2012. Noumea, New Caledonia: Secretariat of the Pacific Community, 2013. |
| Забележки: | 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. |
| Определения: | =>+2SD |
Наднормено тегло/затлъстяване по социално-икономическа група
0-5 years, 2019
| Количество на пробите: | 1271 |
| Референции: | MICS: Tonga Multiple Indicator Cluster Survey 2019, Survey Findings Report. Nuku’alofa, Tonga: Tonga Statistics Department |
| Забележки: | 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. |
| Определения: | =>+2SD |
0-5 years, 2012
| Референции: | DHS-Style: Tonga demographic and health survey 2012. Noumea, New Caledonia: Secretariat of the Pacific Community, 2013. |
| Забележки: | 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. |
| Определения: | =>+2SD |
Double burden of underweight & overweight
Възрастни, 2022
| Тип анкета: | Измерено |
| Възраст: | 20+ |
| Референции: | 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. |
| Забележки: | Age Standardised estimates |
| Определения: | Combined prevalence of BMI<18.5 kg/m² and BMI>=30 kg/m² (double burden of underweight and obesity) |
Деца, 2022
| Тип анкета: | Измерено |
| Възраст: | 5-19 |
| Референции: | 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. |
| Забележки: | Age standardised estimates |
| Определения: | Combined prevalence of BMI < -2SD and BMI > 2SD (double burden of thinness and obesity) |
| Cutoffs: | BMI < -2SD and BMI > 2SD |
0-5 years, 2019
| Тип анкета: | Измерено |
| Възраст: | 0-5 |
| Референции: | 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] |
| Забележки: | Tonga Multiple Indicator Cluster Survey 2019, Survey Findings Report. Nuku’alofa, Tonga: Tonga Statistics Department |
| Определения: | 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 |
Недостатъчна физическа активност
Възрастни, 2016
| Референции: | 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 |
Мъже, 2016
| Референции: | 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 |
Жени, 2016
| Референции: | 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 |
Деца, 2016
| Тип анкета: | Самоотчитане |
| Възраст: | 11-17 |
| Референции: | Global Health Observatory data repository, World Health Organisation, https://apps.who.int/gho/data/node.main.A893ADO?lang=en (last accessed 16.03.21) |
| Забележки: | % 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. |
| Определения: | % Adolescents insufficiently active (age standardised estimate) |
Момчета, 2016
| Тип анкета: | Самоотчитане |
| Възраст: | 11-17 |
| Референции: | Global Health Observatory data repository, World Health Organisation, https://apps.who.int/gho/data/node.main.A893ADO?lang=en (last accessed 16.03.21) |
| Забележки: | % 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. |
| Определения: | % Adolescents insufficiently active (age standardised estimate) |
Момичета, 2016
| Тип анкета: | Самоотчитане |
| Възраст: | 11-17 |
| Референции: | Global Health Observatory data repository, World Health Organisation, https://apps.who.int/gho/data/node.main.A893ADO?lang=en (last accessed 16.03.21) |
| Забележки: | % 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. |
| Определения: | % Adolescents insufficiently active (age standardised estimate) |
Деца, 2010
| Възраст: | 11-17 |
| Референции: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A893?lang=en |
| Забележки: | % 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. |
| Определения: | % Adolescents insufficiently active (age standardised estimate) |
Момчета, 2010
| Възраст: | 11-17 |
| Референции: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A893?lang=en |
| Забележки: | % 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. |
| Определения: | % Adolescents insufficiently active (age standardised estimate) |
Момичета, 2010
| Възраст: | 11-17 |
| Референции: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A893?lang=en |
| Забележки: | % 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. |
| Определения: | % Adolescents insufficiently active (age standardised estimate) |
Средна дневна честота на консумация на газирани безалкохолни напитки
Деца, 2010-2015
| Тип анкета: | Измерено |
| Възраст: | 12-17 |
| Референции: | 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
Възрастни, 2017
| Възраст: | 25+ |
| Обхваната зона: | Национално |
| Референции: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
| Определения: | Estimated per capita fruit intake (g/day) |
Преобладаване на по-малко от дневна консумация на плодове
Деца, 2010
| Тип анкета: | Самоотчитане |
| Възраст: | 12-17 |
| Обхваната зона: | Национално |
| Референции: | 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 |
| Определения: | Prevalence of less-than-daily fruit consumption (% less-than-daily fruit consumption) |
Преобладаване на по-малко от дневна консумация на зеленчуци
Деца, 2010
| Тип анкета: | Самоотчитане |
| Възраст: | 12-17 |
| Обхваната зона: | Национално |
| Референции: | 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 |
| Определения: | Prevalence of less-than-daily vegetable consumption (% less-than-daily vegetable consumption) |
Средна седмична честота на консумация на храни в заведения за бързо хранене
Деца, 2010-2015
| Възраст: | 12-17 |
| Референции: | 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
Възрастни, 2017
| Възраст: | 25+ |
| Обхваната зона: | Национално |
| Референции: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
| Определения: | Estimated per capita processed meat intake (g per day) |
Estimated per capita whole grains intake
Възрастни, 2017
| Тип анкета: | Измерено |
| Възраст: | 25+ |
| Референции: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
| Определения: | Estimated per-capita whole grains intake (g/day) |
Психично здраве – депресивни разстройства
Възрастни, 2021
| Възраст: | 20+ |
| Обхваната зона: | Национално |
| Референции: | 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) |
| Определения: | Number living with depression per 100,000 population (adults 20+ years) |
Мъже, 2021
| Възраст: | 20+ |
| Обхваната зона: | Национално |
| Референции: | 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) |
| Определения: | Number living with depression per 100,000 population (adults 20+ years) |
Жени, 2021
| Възраст: | 20+ |
| Обхваната зона: | Национално |
| Референции: | 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) |
| Определения: | Number living with depression per 100,000 population (adults 20+ years) |
Възрастни, 2015
| Референции: | 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. |
| Определения: | % of population with depression disorders |
Деца, 2021
| Обхваната зона: | Национално |
| Референции: | 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) |
| Определения: | Number living with depressive disorder per 100,000 population (Under 20 years of age) |
Момчета, 2021
| Обхваната зона: | Национално |
| Референции: | 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) |
| Определения: | Number living with depressive disorder per 100,000 population (Under 20 years of age) |
Момичета, 2021
| Обхваната зона: | Национално |
| Референции: | 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) |
| Определения: | Number living with depressive disorder per 100,000 population (Under 20 years of age) |
Психично здраве – тревожни разстройства
Възрастни, 2021
| Възраст: | 20+ |
| Референции: | 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). |
| Определения: | Number living with anxiety per 100,000 population |
Мъже, 2021
| Възраст: | 20+ |
| Референции: | 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). |
| Определения: | Number living with anxiety per 100,000 population |
Жени, 2021
| Възраст: | 20+ |
| Референции: | 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). |
| Определения: | Number living with anxiety per 100,000 population |
Възрастни, 2015
| Референции: | 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. |
| Определения: | % of population with anxiety disorders |
Деца, 2021
| Референции: | 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) |
Момчета, 2021
| Референции: | 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) |
Момичета, 2021
| Референции: | 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) |
% Бебета, хранени изключително с кърма 0-5 месеца
0-5 years, 2007-2023
| Референции: | Tonga Multiple Indicator Cluster Survey 2019, Survey Findings Report. Nuku’alofa, Tonga: Tonga Statistics Department |
| Забележки: | 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. |
Повишено кръвно налягане
Възрастни, 2015
| Референции: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A875?lang=en |
| Определения: | Age Standardised estimated % Raised blood pressure 2015 (SBP>=140 OR DBP>=90). |
Мъже, 2015
| Референции: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A875?lang=en |
| Определения: | Age Standardised estimated % Raised blood pressure 2015 (SBP>=140 OR DBP>=90). |
Жени, 2015
| Референции: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A875?lang=en |
| Определения: | Age Standardised estimated % Raised blood pressure 2015 (SBP>=140 OR DBP>=90). |
Повишен холестерол
Възрастни, 2008
| Референции: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A885 |
| Определения: | % Raised total cholesterol (>= 5.0 mmol/L) (age-standardized estimate). |
Мъже, 2008
| Референции: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A885 |
| Определения: | % Raised total cholesterol (>= 5.0 mmol/L) (age-standardized estimate). |
Жени, 2008
| Референции: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A885 |
| Определения: | % Raised total cholesterol (>= 5.0 mmol/L) (age-standardized estimate). |
Повишена кръвна захар на гладно
Мъже, 2014
| Референции: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A869?lang=en |
| Определения: | Age Standardised % raised fasting blood glucose (>= 7.0 mmol/L or on medication). |
Жени, 2014
| Референции: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A869?lang=en |
| Определения: | Age Standardised % raised fasting blood glucose (>= 7.0 mmol/L or on medication). |
Преобладаване на диабета
Възрастни, 2024
| Референции: | Reproduced with kind permission International Diabetes Federation. IDF Diabetes Atlas, 11th edn. Brussels, Belgium:International Diabetes Federation, 2025. http://www.diabetesatlas.org |
Възрастни, 2021
| Възраст: | 20-79 |
| Обхваната зона: | Национално |
| Референции: | Reproduced with kind permission International Diabetes Federation. IDF Diabetes Atlas, 10th edn. Brussels, Belgium:International Diabetes Federation, 2021. http://www.diabetesatlas.org |
| Определения: | Age-adjusted comparative prevalence of diabetes, % |
Възрастни, 2019
| Възраст: | 20-79 |
| Референции: | Reproduced with kind permission International Diabetes Federation. IDF Diabetes Atlas, 9th edn. Brussels,Belgium: 2019. Available at: https://www.diabetesatlas.org |
| Определения: | Diabetes age-adjusted comparative prevalence (%). |
Възрастни, 2017
| Референции: | Reproduced with kind permission of IDF, International Diabetes Federation. IDF Diabetes Atlas, 8th edition. Brussels, Belgium: International Diabetes Federation, 2017. http://www.diabetesatlas.org |
| Определения: | 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