Tonga
Upper-middle income
- Ülevaade
- Rasvumise levimus
- Trendid ajas
- Rahvastiku jaotus
- Tegurid
- Kaasnevad haigused
- Majanduslik mõju
- Strateegiad
- Contextual factors
Report cards
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Tegurid
Ebapiisav aktiivsus
Karastusjookide tarbimine
Puuvilja tarbimine
Köögivilja tarbimine
Kiirtoidu tarbimine
Töödeldud liha tarbimine
Teravilja tarbimine
Depressioon
Ärevus
Rasvumise algpõhjused »
Like all chronic diseases, the root causes/drivers of obesity are complex. Select here to view 'other' root causes/drivers.Imetamine
Laadi alla aruanne
Kaasnevad haigused
Majanduslik mõju
Strateegiad
Contextual factors
Rasvumise levimus
Tiskasvanud, 2017
| Uuringu tp: | Mdetud |
| Vanus: | 18-69 |
| Valimi suurus: | 3858 |
| Hlmatud piirkond: | Riiklik |
| Viited: | Tonga STEPS Survey 2017 https://extranet.who.int/ncdsmicrodata/index.php/catalog/713 (Last accessed 13.10.20) |
| Kui ei ole mrgitud teisiti, thendab lekaal KMI vahemikku 25 kg ja 29,9 kg/m, rasvumine KMI-t le 30 kg/m. | |
Tiskasvanud, 2012
| Uuringu tp: | Mdetud |
| Vanus: | 25-64 |
| Valimi suurus: | 2599 |
| Hlmatud piirkond: | Riiklik |
| Viited: | STEPS Survey Tonga 2012 available at https://www.who.int/ncds/surveillance/steps/2012_Tonga_STEPSReport.pdf (last accessed 04.05.2020) |
| Märkused: | STEPS |
| Kui ei ole mrgitud teisiti, thendab lekaal KMI vahemikku 25 kg ja 29,9 kg/m, rasvumine KMI-t le 30 kg/m. | |
Tiskasvanud, 2004
| Uuringu tp: | Mdetud |
| Vanus: | 15-64 |
| Valimi suurus: | 958 |
| Hlmatud piirkond: | Riiklik |
| Viited: | Tonga STEPS Survey 2004 |
| Kui ei ole mrgitud teisiti, thendab lekaal KMI vahemikku 25 kg ja 29,9 kg/m, rasvumine KMI-t le 30 kg/m. | |
Tiskasvanud, 1998-2000
| Uuringu tp: | Mdetud |
| Vanus: | 15-85 |
| Valimi suurus: | 1024 |
| Hlmatud piirkond: | Riiklik |
| Viited: | 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. |
| Kui ei ole mrgitud teisiti, thendab lekaal KMI vahemikku 25 kg ja 29,9 kg/m, rasvumine KMI-t le 30 kg/m. | |
Lapsed, 2017
| Uuringu tp: | Ise teatatud |
| Vanus: | 13-17 |
| Valimi suurus: | 3333 |
| Hlmatud piirkond: | Riiklik |
| Viited: | Tonga - Global School-Based Student Health Survey 2017 https://www.who.int/ncds/surveillance/gshs/tonga/en/ (Last accessed 20.10.20) |
| Cutoffs: | WHO |
Lapsed, 2010
| Uuringu tp: | Ise teatatud |
| Vanus: | 13-15 |
| Valimi suurus: | 2111 |
| Hlmatud piirkond: | Riiklik |
| Viited: | 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 |
Lapsed, 2002-2003
| Uuringu tp: | Mdetud |
| Vanus: | 5-11 |
| Valimi suurus: | 895 |
| Viited: | 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 |
| Märkused: | 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
| Uuringu tp: | Mdetud |
| Vanus: | 0-5 |
| Valimi suurus: | 1271 |
| Hlmatud piirkond: | Riiklik |
| Viited: | Tonga Multiple Indicator Cluster Survey 2019, Survey Findings Report. Nuku’alofa, Tonga: Tonga Statistics Department |
| Märkused: | Infants. |
| Mõisted: | Weight for height. Overweight = +2SD-+3SD. Obesity = >+3SD |
| Cutoffs: | Other |
0-5 years, 2019
| Vanus: | 0-5 |
| Valimi suurus: | 1271 |
| Viited: | MICS: Tonga Multiple Indicator Cluster Survey 2019, Survey Findings Report. Nuku’alofa, Tonga: Tonga Statistics Department |
| Märkused: | 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. |
| Mõisted: | =>+2SD |
0-5 years, 2012
| Vanus: | 0-5 |
| Viited: | DHS-Style: Tonga demographic and health survey 2012. Noumea, New Caledonia: Secretariat of the Pacific Community, 2013. |
| Märkused: | 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. |
| Mõisted: | =>+2SD |
% Adults living with obesity in Tonga 1998-2017
Mehed
| Uuringu tp: | Mdetud |
| Viited: | 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) |
| Kui ei ole mrgitud teisiti, thendab lekaal KMI vahemikku 25 kg ja 29,9 kg/m, rasvumine KMI-t le 30 kg/m. | |
| Nende andmete kogumiseks võib olla kasutatud erinevaid meetodeid ja seetõttu ei pruugi erinevate uuringute andmed olla täpselt võrreldavad. Palun kontrollige kasutatud meetodeid algallikatest | |
Naised
| Uuringu tp: | Mdetud |
| Viited: | 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) |
| Kui ei ole mrgitud teisiti, thendab lekaal KMI vahemikku 25 kg ja 29,9 kg/m, rasvumine KMI-t le 30 kg/m. | |
| Nende andmete kogumiseks võib olla kasutatud erinevaid meetodeid ja seetõttu ei pruugi erinevate uuringute andmed olla täpselt võrreldavad. Palun kontrollige kasutatud meetodeid algallikatest | |
% Adults living with overweight or obesity in Tonga 1998-2017
Mehed
| Uuringu tp: | Mdetud |
| Viited: | 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) |
| Kui ei ole mrgitud teisiti, thendab lekaal KMI vahemikku 25 kg ja 29,9 kg/m, rasvumine KMI-t le 30 kg/m. | |
| Nende andmete kogumiseks võib olla kasutatud erinevaid meetodeid ja seetõttu ei pruugi erinevate uuringute andmed olla täpselt võrreldavad. Palun kontrollige kasutatud meetodeid algallikatest | |
Naised
| Uuringu tp: | Mdetud |
| Viited: | 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) |
| Kui ei ole mrgitud teisiti, thendab lekaal KMI vahemikku 25 kg ja 29,9 kg/m, rasvumine KMI-t le 30 kg/m. | |
| Nende andmete kogumiseks võib olla kasutatud erinevaid meetodeid ja seetõttu ei pruugi erinevate uuringute andmed olla täpselt võrreldavad. Palun kontrollige kasutatud meetodeid algallikatest | |
% Adults living with obesity in selected countries in the Asia/Oceania Region 1975-2019, valitud riigid
Mehed
| Viited: | 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: 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 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: Ministry of Health and Population - MOHP/Nepal, New ERA/Nepal, and ICF International. 2012. Nepal Demographic and Health Survey 2011. Kathmandu, Nepal: MOHP/Nepal, New ERA/Nepal, and ICF International. 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: 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: 2015 Philippine Anthropometric Survey. http://enutrition.fnri.dost.gov.ph/site/preview.php?xx=%20uploads/2015_ANTHROPOMETRIC_SURVEY.pdf 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: National Institute of Population Research and Training (NIPORT), and ICF. 2020. Bangladesh Demographic and Health Survey 2017-18. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT and ICF https://dhsprogram.com/pubs/pdf/FR344/FR344.pdf (last accessed 10.08.22) 2018: National Health and Nutrition Survey, 2018 published by the Ministry of Health, Labor and Welfare. Available at https://www.nibiohn.go.jp/eiken/kenkounippon21/download_files/eiyouchousa/2018.pdf (last accessed 17.05.21) 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: Institute for Public Health (IPH). National Health and Morbidity Survey (NHMS) 2024: Nutrition: Vol. II: Findings; 2025. https://iku.nih.gov.my/NHMS-2024 [Accessed 10.12.25] |
| Nende andmete kogumiseks võib olla kasutatud erinevaid meetodeid ja seetõttu ei pruugi erinevate uuringute andmed olla täpselt võrreldavad. Palun kontrollige kasutatud meetodeid algallikatest | |
Naised
| Viited: | 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: 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 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: Ministry of Health and Population - MOHP/Nepal, New ERA/Nepal, and ICF International. 2012. Nepal Demographic and Health Survey 2011. Kathmandu, Nepal: MOHP/Nepal, New ERA/Nepal, and ICF International. 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: 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: 2015 Philippine Anthropometric Survey. http://enutrition.fnri.dost.gov.ph/site/preview.php?xx=%20uploads/2015_ANTHROPOMETRIC_SURVEY.pdf 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: National Institute of Population Research and Training (NIPORT), and ICF. 2020. Bangladesh Demographic and Health Survey 2017-18. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT and ICF https://dhsprogram.com/pubs/pdf/FR344/FR344.pdf (last accessed 10.08.22) 2018: National Health and Nutrition Survey, 2018 published by the Ministry of Health, Labor and Welfare. Available at https://www.nibiohn.go.jp/eiken/kenkounippon21/download_files/eiyouchousa/2018.pdf (last accessed 17.05.21) 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: Institute for Public Health (IPH). National Health and Morbidity Survey (NHMS) 2024: Nutrition: Vol. II: Findings; 2025. https://iku.nih.gov.my/NHMS-2024 [Accessed 10.12.25] |
| Nende andmete kogumiseks võib olla kasutatud erinevaid meetodeid ja seetõttu ei pruugi erinevate uuringute andmed olla täpselt võrreldavad. Palun kontrollige kasutatud meetodeid algallikatest | |
lekaalulisus / rasvumine vanuse jrgi
Tiskasvanud, 2012
| Uuringu tp: | Mdetud |
| Valimi suurus: | 2599 |
| Hlmatud piirkond: | Riiklik |
| Viited: | STEPS Survey Tonga 2012 available at https://www.who.int/ncds/surveillance/steps/2012_Tonga_STEPSReport.pdf (last accessed 04.05.2020) |
| Märkused: | STEPS |
| Kui ei ole mrgitud teisiti, thendab lekaal KMI vahemikku 25 kg ja 29,9 kg/m, rasvumine KMI-t le 30 kg/m. | |
lekaalulisus / rasvumine piirkonna jrgi
0-5 years, 2019
| Valimi suurus: | 1271 |
| Viited: | MICS: Tonga Multiple Indicator Cluster Survey 2019, Survey Findings Report. Nuku’alofa, Tonga: Tonga Statistics Department |
| Märkused: | 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. |
| Mõisted: | =>+2SD |
0-5 years, 2012
| Viited: | DHS-Style: Tonga demographic and health survey 2012. Noumea, New Caledonia: Secretariat of the Pacific Community, 2013. |
| Märkused: | 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. |
| Mõisted: | =>+2SD |
lekaalulisus / rasvumine sotsiaalmajandusliku grupi jrgi
0-5 years, 2019
| Valimi suurus: | 1271 |
| Viited: | MICS: Tonga Multiple Indicator Cluster Survey 2019, Survey Findings Report. Nuku’alofa, Tonga: Tonga Statistics Department |
| Märkused: | 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. |
| Mõisted: | =>+2SD |
0-5 years, 2012
| Viited: | DHS-Style: Tonga demographic and health survey 2012. Noumea, New Caledonia: Secretariat of the Pacific Community, 2013. |
| Märkused: | 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. |
| Mõisted: | =>+2SD |
Double burden of underweight & overweight
Tiskasvanud, 2022
| Uuringu tp: | Mdetud |
| Vanus: | 20+ |
| Viited: | 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. |
| Märkused: | Age Standardised estimates |
| Mõisted: | Combined prevalence of BMI<18.5 kg/m² and BMI>=30 kg/m² (double burden of underweight and obesity) |
Lapsed, 2022
| Uuringu tp: | Mdetud |
| Vanus: | 5-19 |
| Viited: | 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. |
| Märkused: | Age standardised estimates |
| Mõisted: | Combined prevalence of BMI < -2SD and BMI > 2SD (double burden of thinness and obesity) |
| Cutoffs: | BMI < -2SD and BMI > 2SD |
0-5 years, 2019
| Uuringu tp: | Mdetud |
| Vanus: | 0-5 |
| Viited: | 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] |
| Märkused: | Tonga Multiple Indicator Cluster Survey 2019, Survey Findings Report. Nuku’alofa, Tonga: Tonga Statistics Department |
| Mõisted: | 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 |
Ebapiisav fsiline aktiivsus
Tiskasvanud, 2016
| Viited: | 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 |
Mehed, 2016
| Viited: | 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 |
Naised, 2016
| Viited: | 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 |
Lapsed, 2016
| Uuringu tp: | Ise teatatud |
| Vanus: | 11-17 |
| Viited: | Global Health Observatory data repository, World Health Organisation, https://apps.who.int/gho/data/node.main.A893ADO?lang=en (last accessed 16.03.21) |
| Märkused: | % 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. |
| Mõisted: | % Adolescents insufficiently active (age standardised estimate) |
Poisid, 2016
| Uuringu tp: | Ise teatatud |
| Vanus: | 11-17 |
| Viited: | Global Health Observatory data repository, World Health Organisation, https://apps.who.int/gho/data/node.main.A893ADO?lang=en (last accessed 16.03.21) |
| Märkused: | % 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. |
| Mõisted: | % Adolescents insufficiently active (age standardised estimate) |
Tdrukud, 2016
| Uuringu tp: | Ise teatatud |
| Vanus: | 11-17 |
| Viited: | Global Health Observatory data repository, World Health Organisation, https://apps.who.int/gho/data/node.main.A893ADO?lang=en (last accessed 16.03.21) |
| Märkused: | % 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. |
| Mõisted: | % Adolescents insufficiently active (age standardised estimate) |
Lapsed, 2010
| Vanus: | 11-17 |
| Viited: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A893?lang=en |
| Märkused: | % 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. |
| Mõisted: | % Adolescents insufficiently active (age standardised estimate) |
Poisid, 2010
| Vanus: | 11-17 |
| Viited: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A893?lang=en |
| Märkused: | % 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. |
| Mõisted: | % Adolescents insufficiently active (age standardised estimate) |
Tdrukud, 2010
| Vanus: | 11-17 |
| Viited: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A893?lang=en |
| Märkused: | % 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. |
| Mõisted: | % Adolescents insufficiently active (age standardised estimate) |
Keskmine pevane gaseeritud karastusjookide tarbimissagedus
Lapsed, 2010-2015
| Uuringu tp: | Mdetud |
| Vanus: | 12-17 |
| Viited: | 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
Tiskasvanud, 2017
| Vanus: | 25+ |
| Hlmatud piirkond: | Riiklik |
| Viited: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
| Mõisted: | Estimated per capita fruit intake (g/day) |
Puuviljade vhem kui igapevase tarbimise levimus
Lapsed, 2010
| Uuringu tp: | Ise teatatud |
| Vanus: | 12-17 |
| Hlmatud piirkond: | Riiklik |
| Viited: | 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 |
| Mõisted: | Prevalence of less-than-daily fruit consumption (% less-than-daily fruit consumption) |
Kgiviljade vhem kui igapevase tarbimise levimus
Lapsed, 2010
| Uuringu tp: | Ise teatatud |
| Vanus: | 12-17 |
| Hlmatud piirkond: | Riiklik |
| Viited: | 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 |
| Mõisted: | Prevalence of less-than-daily vegetable consumption (% less-than-daily vegetable consumption) |
Kiirtoidu tarbimise keskmine ndalane sagedus
Lapsed, 2010-2015
| Vanus: | 12-17 |
| Viited: | 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
Tiskasvanud, 2017
| Vanus: | 25+ |
| Hlmatud piirkond: | Riiklik |
| Viited: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
| Mõisted: | Estimated per capita processed meat intake (g per day) |
Estimated per capita whole grains intake
Tiskasvanud, 2017
| Uuringu tp: | Mdetud |
| Vanus: | 25+ |
| Viited: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
| Mõisted: | Estimated per-capita whole grains intake (g/day) |
Vaimne tervis - depressiivsed häired
Tiskasvanud, 2021
| Vanus: | 20+ |
| Hlmatud piirkond: | Riiklik |
| Viited: | 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) |
| Mõisted: | Number living with depression per 100,000 population (adults 20+ years) |
Mehed, 2021
| Vanus: | 20+ |
| Hlmatud piirkond: | Riiklik |
| Viited: | 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) |
| Mõisted: | Number living with depression per 100,000 population (adults 20+ years) |
Naised, 2021
| Vanus: | 20+ |
| Hlmatud piirkond: | Riiklik |
| Viited: | 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) |
| Mõisted: | Number living with depression per 100,000 population (adults 20+ years) |
Tiskasvanud, 2015
| Viited: | 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. |
| Mõisted: | % of population with depression disorders |
Lapsed, 2021
| Hlmatud piirkond: | Riiklik |
| Viited: | 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) |
| Mõisted: | Number living with depressive disorder per 100,000 population (Under 20 years of age) |
Poisid, 2021
| Hlmatud piirkond: | Riiklik |
| Viited: | 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) |
| Mõisted: | Number living with depressive disorder per 100,000 population (Under 20 years of age) |
Tdrukud, 2021
| Hlmatud piirkond: | Riiklik |
| Viited: | 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) |
| Mõisted: | Number living with depressive disorder per 100,000 population (Under 20 years of age) |
Vaimne tervis - revushired
Tiskasvanud, 2021
| Vanus: | 20+ |
| Viited: | 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). |
| Mõisted: | Number living with anxiety per 100,000 population |
Mehed, 2021
| Vanus: | 20+ |
| Viited: | 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). |
| Mõisted: | Number living with anxiety per 100,000 population |
Naised, 2021
| Vanus: | 20+ |
| Viited: | 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). |
| Mõisted: | Number living with anxiety per 100,000 population |
Tiskasvanud, 2015
| Viited: | 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. |
| Mõisted: | % of population with anxiety disorders |
Lapsed, 2021
| Viited: | 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) |
Poisid, 2021
| Viited: | 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) |
Tdrukud, 2021
| Viited: | 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) |
0.5. elukuuni eranditult rinnapiimal imikute %
0-5 years, 2007-2023
| Viited: | Tonga Multiple Indicator Cluster Survey 2019, Survey Findings Report. Nuku’alofa, Tonga: Tonga Statistics Department |
| Märkused: | 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. |
Kõrgenenud vererõhk
Tiskasvanud, 2015
| Viited: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A875?lang=en |
| Mõisted: | Age Standardised estimated % Raised blood pressure 2015 (SBP>=140 OR DBP>=90). |
Mehed, 2015
| Viited: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A875?lang=en |
| Mõisted: | Age Standardised estimated % Raised blood pressure 2015 (SBP>=140 OR DBP>=90). |
Naised, 2015
| Viited: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A875?lang=en |
| Mõisted: | Age Standardised estimated % Raised blood pressure 2015 (SBP>=140 OR DBP>=90). |
Kõrgenenud kolesteroolitase
Tiskasvanud, 2008
| Viited: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A885 |
| Mõisted: | % Raised total cholesterol (>= 5.0 mmol/L) (age-standardized estimate). |
Mehed, 2008
| Viited: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A885 |
| Mõisted: | % Raised total cholesterol (>= 5.0 mmol/L) (age-standardized estimate). |
Naised, 2008
| Viited: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A885 |
| Mõisted: | % Raised total cholesterol (>= 5.0 mmol/L) (age-standardized estimate). |
Kõrgenenud veresuhkru tase tühja kõhuga
Mehed, 2014
| Viited: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A869?lang=en |
| Mõisted: | Age Standardised % raised fasting blood glucose (>= 7.0 mmol/L or on medication). |
Naised, 2014
| Viited: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A869?lang=en |
| Mõisted: | Age Standardised % raised fasting blood glucose (>= 7.0 mmol/L or on medication). |
Diabeedi levimus
Tiskasvanud, 2024
| Viited: | Reproduced with kind permission International Diabetes Federation. IDF Diabetes Atlas, 11th edn. Brussels, Belgium:International Diabetes Federation, 2025. http://www.diabetesatlas.org |
Tiskasvanud, 2021
| Vanus: | 20-79 |
| Hlmatud piirkond: | Riiklik |
| Viited: | Reproduced with kind permission International Diabetes Federation. IDF Diabetes Atlas, 10th edn. Brussels, Belgium:International Diabetes Federation, 2021. http://www.diabetesatlas.org |
| Mõisted: | Age-adjusted comparative prevalence of diabetes, % |
Tiskasvanud, 2019
| Vanus: | 20-79 |
| Viited: | Reproduced with kind permission International Diabetes Federation. IDF Diabetes Atlas, 9th edn. Brussels,Belgium: 2019. Available at: https://www.diabetesatlas.org |
| Mõisted: | Diabetes age-adjusted comparative prevalence (%). |
Tiskasvanud, 2017
| Viited: | Reproduced with kind permission of IDF, International Diabetes Federation. IDF Diabetes Atlas, 8th edition. Brussels, Belgium: International Diabetes Federation, 2017. http://www.diabetesatlas.org |
| Mõisted: | 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