Tonga
Upper-middle income
- Overzicht
- Obesitasprevalentie
- Trends na verloop van tijd
- Verdeling van de bevolking
- Chauffeurs
- Comorbiditeiten
- Economische effecten
- Beleid (alleen beschikbaar in het Engels)
- Contextual factors
Gegevens laden, een ogenblik geduld...
Nationaal risico op obesitas *7,5/10This is a composite ‘obesity risk’ score (out of 10, the highest risk) based on obesity prevalence, rate of increase, likelihood of meeting the 2025 target, treatment indicator and childhood stunting levels.Risico op obesitas bij kinderen *10/11This is a ‘risk score’ for each country’s likelihood of having or acquiring a major childhood obesity problem during the 2020s, taking account of current prevalence levels and risk for future obesity (based on stunting among infants, maternal obesity, maternal smoking, and breastfeeding rates).
Obesitasprevalentie
Trends na verloop van tijd
Download rapport
Het rapport bevat alle meest recente afbeeldingen voor dit land. Als u een aangepast rapport wilt maken op basis van geselecteerde afbeeldingen, tikt u gewoon op de knop Toevoegen aan aangepaste PDF onder de afbeeldingen die u wilt gebruiken.Verdeling van de bevolking
Chauffeurs
Onvoldoende activiteit
Consumptie van frisdrank
Fruitconsumptie
Groenteconsumptie
Consumptie van fast food
Consumptie verwerkt vlees
Graanverbruik
Depressie
Angst
Oorzaken van zwaarlijvigheid »
Like all chronic diseases, the root causes/drivers of obesity are complex. Select here to view 'other' root causes/drivers.Borstvoeding
Download rapport
Comorbiditeiten
Economische effecten
Beleid (alleen beschikbaar in het Engels)
Contextual factors
Obesitasprevalentie
Volwassenen, 2017
Type onderzoek: | Gemeten |
Leeftijd: | 18-69 |
Monstergrootte: | 3858 |
In aanmerking komend gebied: | Nationaal |
Referenties: | Tonga STEPS Survey 2017 https://extranet.who.int/ncdsmicrodata/index.php/catalog/713 (Last accessed 13.10.20) |
Tenzij anders vermeld, verwijst overgewicht naar een BMI tussen 25 kg en 29,9 kg/m², obesitas verwijst naar een BMI van meer dan 30 kg/m². |
Volwassenen, 2012
Type onderzoek: | Gemeten |
Leeftijd: | 25-64 |
Monstergrootte: | 2599 |
In aanmerking komend gebied: | Nationaal |
Referenties: | STEPS Survey Tonga 2012 available at https://www.who.int/ncds/surveillance/steps/2012_Tonga_STEPSReport.pdf (last accessed 04.05.2020) |
Notities (alleen beschikbaar in het Engels): | STEPS |
Tenzij anders vermeld, verwijst overgewicht naar een BMI tussen 25 kg en 29,9 kg/m², obesitas verwijst naar een BMI van meer dan 30 kg/m². |
Volwassenen, 2004
Type onderzoek: | Gemeten |
Leeftijd: | 15-64 |
Monstergrootte: | 958 |
In aanmerking komend gebied: | Nationaal |
Referenties: | Tonga STEPS Survey 2004 |
Tenzij anders vermeld, verwijst overgewicht naar een BMI tussen 25 kg en 29,9 kg/m², obesitas verwijst naar een BMI van meer dan 30 kg/m². |
Volwassenen, 1998-2000
Type onderzoek: | Gemeten |
Leeftijd: | 15-85 |
Monstergrootte: | 1024 |
In aanmerking komend gebied: | Nationaal |
Referenties: | 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. |
Tenzij anders vermeld, verwijst overgewicht naar een BMI tussen 25 kg en 29,9 kg/m², obesitas verwijst naar een BMI van meer dan 30 kg/m². |
Kinderen, 2017
Type onderzoek: | Zelfgerapporteerd |
Leeftijd: | 13-17 |
Monstergrootte: | 3333 |
In aanmerking komend gebied: | Nationaal |
Referenties: | Tonga - Global School-Based Student Health Survey 2017 https://www.who.int/ncds/surveillance/gshs/tonga/en/ (Last accessed 20.10.20) |
Cutoffs: | WHO |
Kinderen, 2010
Type onderzoek: | Zelfgerapporteerd |
Leeftijd: | 13-15 |
Monstergrootte: | 2111 |
In aanmerking komend gebied: | Nationaal |
Referenties: | 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 |
Kinderen, 2002-2003
Type onderzoek: | Gemeten |
Leeftijd: | 5-11 |
Monstergrootte: | 895 |
Referenties: | 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 |
Notities (alleen beschikbaar in het Engels): | 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 |
Infants, 2019
Type onderzoek: | Gemeten |
Leeftijd: | 0-5 |
Monstergrootte: | 1271 |
In aanmerking komend gebied: | Nationaal |
Referenties: | Tonga Multiple Indicator Cluster Survey 2019, Survey Findings Report. Nuku’alofa, Tonga: Tonga Statistics Department |
Notities (alleen beschikbaar in het Engels): | Infants. |
Definities (alleen beschikbaar in het Engels): | Weight for height. Overweight = +2SD-+3SD. Obesity = >+3SD |
Cutoffs: | Other |
Infants, 2019
Leeftijd: | 0-5 |
Monstergrootte: | 1271 |
Referenties: | MICS: Tonga Multiple Indicator Cluster Survey 2019, Survey Findings Report. Nuku’alofa, Tonga: Tonga Statistics Department |
Notities (alleen beschikbaar in het Engels): | 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. |
Definities (alleen beschikbaar in het Engels): | =>+2SD |
Infants, 2012
Leeftijd: | 0-5 |
Referenties: | DHS-Style: Tonga demographic and health survey 2012. Noumea, New Caledonia: Secretariat of the Pacific Community, 2013. |
Notities (alleen beschikbaar in het Engels): | 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. |
Definities (alleen beschikbaar in het Engels): | =>+2SD |
% Adults living with obesity in Tonga 1998-2017
Vrouwen
Type onderzoek: | Gemeten |
Referenties: | 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) |
Tenzij anders vermeld, verwijst overgewicht naar een BMI tussen 25 kg en 29,9 kg/m², obesitas verwijst naar een BMI van meer dan 30 kg/m². | |
Er kunnen verschillende methoden zijn gebruikt om deze gegevens te verzamelen en daarom zijn gegevens uit verschillende onderzoeken mogelijk niet strikt vergelijkbaar. Raadpleeg de originele gegevensbronnen voor de gebruikte methoden |
Mannen
Type onderzoek: | Gemeten |
Referenties: | 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) |
Tenzij anders vermeld, verwijst overgewicht naar een BMI tussen 25 kg en 29,9 kg/m², obesitas verwijst naar een BMI van meer dan 30 kg/m². | |
Er kunnen verschillende methoden zijn gebruikt om deze gegevens te verzamelen en daarom zijn gegevens uit verschillende onderzoeken mogelijk niet strikt vergelijkbaar. Raadpleeg de originele gegevensbronnen voor de gebruikte methoden |
% Adults living with overweight or obesity in Tonga 1998-2017
Vrouwen
Type onderzoek: | Gemeten |
Referenties: | 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) |
Tenzij anders vermeld, verwijst overgewicht naar een BMI tussen 25 kg en 29,9 kg/m², obesitas verwijst naar een BMI van meer dan 30 kg/m². | |
Er kunnen verschillende methoden zijn gebruikt om deze gegevens te verzamelen en daarom zijn gegevens uit verschillende onderzoeken mogelijk niet strikt vergelijkbaar. Raadpleeg de originele gegevensbronnen voor de gebruikte methoden |
Mannen
Type onderzoek: | Gemeten |
Referenties: | 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) |
Tenzij anders vermeld, verwijst overgewicht naar een BMI tussen 25 kg en 29,9 kg/m², obesitas verwijst naar een BMI van meer dan 30 kg/m². | |
Er kunnen verschillende methoden zijn gebruikt om deze gegevens te verzamelen en daarom zijn gegevens uit verschillende onderzoeken mogelijk niet strikt vergelijkbaar. Raadpleeg de originele gegevensbronnen voor de gebruikte methoden |
% Adults living with obesity in selected countries in the Asia/Oceania Region 1975-2019, geselecteerde landen
Mannen
Referenties: | 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: 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, 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: 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: National Institute of Population Research and Training (NIPORT), Mitra and Associates, and Macro International. 2008. Bangladesh Demographic and Health Survey 2007: Key Findings. Calverton, Maryland, USA: NIPORT, Mitra and Associates, and Macro International. 2009: Yan, S., Li, J., Li, S., Zhang, B., Du, S., Gordon-Larsen, P., Adair, L. and Popkin, B. (2012), The expanding burden of cardiometabolic risk in China: the China Health and Nutrition Survey. Obesity Reviews. doi: 10.1111/j.1467-789X.2012.01016.x 2011: National Institute of Population Research and Training - NIPORT/Bangladesh, Mitra and Associates/Bangladesh, and ICF International. 2013. Bangladesh Demographic and Health Survey 2011. Dhaka, Bangladesh: NIPORT, Mitra and Associates, and ICF International. 2012: STEPS Survey Tonga 2012 available at https://www.who.int/ncds/surveillance/steps/2012_Tonga_STEPSReport.pdf (last accessed 04.05.2020) 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: 2015 Philippine Anthropometric Survey. http://enutrition.fnri.dost.gov.ph/site/preview.php?xx=%20uploads/2015_ANTHROPOMETRIC_SURVEY.pdf 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: 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/ (Accessed 11.04.19) 2018: New Zealand Health Survey 2018-19. New Zealand Ministry of Health (https://minhealthnz.shinyapps.io/nz-health-survey-2018-19-annual-data-explorer/_w_b396d161/#!/key-indicators accessed 14.11.19) 2019: Annual Update of New Zealand Health Survey 2019/20 available at https://ministryofhealthnewzealand.cmail19.com/t/i-l-mjrkhil-yhhldiiiid-r/ (last accessed 19.11.20) 2020: Annual Update of New Zealand Health Survey 2020/2021 available at https://www.health.govt.nz/publication/annual-update-key-results-2020-21-new-zealand-health-survey Accessed 08.11.21. 2022: Australian National Health Survey 2022-2023. https://www.abs.gov.au/statistics/health/health-conditions-and-risks/waist-circumference-and-bmi/2022#body-mass-index-bmi- (Accessed 03.01.2024) |
Er kunnen verschillende methoden zijn gebruikt om deze gegevens te verzamelen en daarom zijn gegevens uit verschillende onderzoeken mogelijk niet strikt vergelijkbaar. Raadpleeg de originele gegevensbronnen voor de gebruikte methoden |
Vrouwen
Referenties: | 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: 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, 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: 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: National Institute of Population Research and Training (NIPORT), Mitra and Associates, and Macro International. 2008. Bangladesh Demographic and Health Survey 2007: Key Findings. Calverton, Maryland, USA: NIPORT, Mitra and Associates, and Macro International. 2009: Yan, S., Li, J., Li, S., Zhang, B., Du, S., Gordon-Larsen, P., Adair, L. and Popkin, B. (2012), The expanding burden of cardiometabolic risk in China: the China Health and Nutrition Survey. Obesity Reviews. doi: 10.1111/j.1467-789X.2012.01016.x 2011: National Institute of Population Research and Training - NIPORT/Bangladesh, Mitra and Associates/Bangladesh, and ICF International. 2013. Bangladesh Demographic and Health Survey 2011. Dhaka, Bangladesh: NIPORT, Mitra and Associates, and ICF International. 2012: STEPS Survey Tonga 2012 available at https://www.who.int/ncds/surveillance/steps/2012_Tonga_STEPSReport.pdf (last accessed 04.05.2020) 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: 2015 Philippine Anthropometric Survey. http://enutrition.fnri.dost.gov.ph/site/preview.php?xx=%20uploads/2015_ANTHROPOMETRIC_SURVEY.pdf 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: 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/ (Accessed 11.04.19) 2018: New Zealand Health Survey 2018-19. New Zealand Ministry of Health (https://minhealthnz.shinyapps.io/nz-health-survey-2018-19-annual-data-explorer/_w_b396d161/#!/key-indicators accessed 14.11.19) 2019: Annual Update of New Zealand Health Survey 2019/20 available at https://ministryofhealthnewzealand.cmail19.com/t/i-l-mjrkhil-yhhldiiiid-r/ (last accessed 19.11.20) 2020: Annual Update of New Zealand Health Survey 2020/2021 available at https://www.health.govt.nz/publication/annual-update-key-results-2020-21-new-zealand-health-survey Accessed 08.11.21. 2022: Australian National Health Survey 2022-2023. https://www.abs.gov.au/statistics/health/health-conditions-and-risks/waist-circumference-and-bmi/2022#body-mass-index-bmi- (Accessed 03.01.2024) |
Er kunnen verschillende methoden zijn gebruikt om deze gegevens te verzamelen en daarom zijn gegevens uit verschillende onderzoeken mogelijk niet strikt vergelijkbaar. Raadpleeg de originele gegevensbronnen voor de gebruikte methoden |
Overgewicht/obesitas, naar opleiding
Infants, 2019
Monstergrootte: | 1271 |
Referenties: | MICS: Tonga Multiple Indicator Cluster Survey 2019, Survey Findings Report. Nuku’alofa, Tonga: Tonga Statistics Department |
Notities (alleen beschikbaar in het Engels): | 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. |
Definities (alleen beschikbaar in het Engels): | =>+2SD |
Infants, 2012
Referenties: | DHS-Style: Tonga demographic and health survey 2012. Noumea, New Caledonia: Secretariat of the Pacific Community, 2013. |
Notities (alleen beschikbaar in het Engels): | 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. |
Definities (alleen beschikbaar in het Engels): | =>+2SD |
Overgewicht / obesitas, naar leeftijd
Volwassenen, 2012
Type onderzoek: | Gemeten |
Monstergrootte: | 2599 |
In aanmerking komend gebied: | Nationaal |
Referenties: | STEPS Survey Tonga 2012 available at https://www.who.int/ncds/surveillance/steps/2012_Tonga_STEPSReport.pdf (last accessed 04.05.2020) |
Notities (alleen beschikbaar in het Engels): | STEPS |
Tenzij anders vermeld, verwijst overgewicht naar een BMI tussen 25 kg en 29,9 kg/m², obesitas verwijst naar een BMI van meer dan 30 kg/m². |
Overgewicht / obesitas, per regio
Infants, 2019
Monstergrootte: | 1271 |
Referenties: | MICS: Tonga Multiple Indicator Cluster Survey 2019, Survey Findings Report. Nuku’alofa, Tonga: Tonga Statistics Department |
Notities (alleen beschikbaar in het Engels): | 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. |
Definities (alleen beschikbaar in het Engels): | =>+2SD |
Infants, 2012
Referenties: | DHS-Style: Tonga demographic and health survey 2012. Noumea, New Caledonia: Secretariat of the Pacific Community, 2013. |
Notities (alleen beschikbaar in het Engels): | 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. |
Definities (alleen beschikbaar in het Engels): | =>+2SD |
Overgewicht/obesitas, naar socio-economische groep
Infants, 2019
Monstergrootte: | 1271 |
Referenties: | MICS: Tonga Multiple Indicator Cluster Survey 2019, Survey Findings Report. Nuku’alofa, Tonga: Tonga Statistics Department |
Notities (alleen beschikbaar in het Engels): | 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. |
Definities (alleen beschikbaar in het Engels): | =>+2SD |
Infants, 2012
Referenties: | DHS-Style: Tonga demographic and health survey 2012. Noumea, New Caledonia: Secretariat of the Pacific Community, 2013. |
Notities (alleen beschikbaar in het Engels): | 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. |
Definities (alleen beschikbaar in het Engels): | =>+2SD |
Onvoldoende lichaamsbeweging
Volwassenen, 2016
Referenties: | 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 |
Mannen, 2016
Referenties: | 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 |
Vrouwen, 2016
Referenties: | 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 |
Kinderen, 2016
Type onderzoek: | Zelfgerapporteerd |
Leeftijd: | 11-17 |
Referenties: | Global Health Observatory data repository, World Health Organisation, https://apps.who.int/gho/data/node.main.A893ADO?lang=en (last accessed 16.03.21) |
Notities (alleen beschikbaar in het Engels): | % 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. |
Definities (alleen beschikbaar in het Engels): | % Adolescents insufficiently active (age standardised estimate) |
Jongens, 2016
Type onderzoek: | Zelfgerapporteerd |
Leeftijd: | 11-17 |
Referenties: | Global Health Observatory data repository, World Health Organisation, https://apps.who.int/gho/data/node.main.A893ADO?lang=en (last accessed 16.03.21) |
Notities (alleen beschikbaar in het Engels): | % 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. |
Definities (alleen beschikbaar in het Engels): | % Adolescents insufficiently active (age standardised estimate) |
Meisjes, 2016
Type onderzoek: | Zelfgerapporteerd |
Leeftijd: | 11-17 |
Referenties: | Global Health Observatory data repository, World Health Organisation, https://apps.who.int/gho/data/node.main.A893ADO?lang=en (last accessed 16.03.21) |
Notities (alleen beschikbaar in het Engels): | % 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. |
Definities (alleen beschikbaar in het Engels): | % Adolescents insufficiently active (age standardised estimate) |
Kinderen, 2010
Leeftijd: | 11-17 |
Referenties: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A893?lang=en |
Notities (alleen beschikbaar in het Engels): | % 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. |
Definities (alleen beschikbaar in het Engels): | % Adolescents insufficiently active (age standardised estimate) |
Jongens, 2010
Leeftijd: | 11-17 |
Referenties: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A893?lang=en |
Notities (alleen beschikbaar in het Engels): | % 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. |
Definities (alleen beschikbaar in het Engels): | % Adolescents insufficiently active (age standardised estimate) |
Meisjes, 2010
Leeftijd: | 11-17 |
Referenties: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A893?lang=en |
Notities (alleen beschikbaar in het Engels): | % 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. |
Definities (alleen beschikbaar in het Engels): | % Adolescents insufficiently active (age standardised estimate) |
Gemiddelde dagelijkse consumptie van koolzuurhoudende frisdranken
Kinderen, 2010-2015
Type onderzoek: | Gemeten |
Leeftijd: | 12-17 |
Referenties: | 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
Volwassenen, 2017
Type onderzoek: | Gemeten |
Leeftijd: | 25+ |
Referenties: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
Definities (alleen beschikbaar in het Engels): | Estimated per-capita fruit intake (g/day) |
Prevalentie van minder dan dagelijkse fruitconsumptie
Kinderen, 2010-2015
Type onderzoek: | Gemeten |
Leeftijd: | 12-17 |
Referenties: | 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 |
Definities (alleen beschikbaar in het Engels): | Prevalence of less-than-daily fruit consumption (% less-than-daily fruit consumption) |
Prevalentie van minder dan dagelijkse groenteconsumptie
Kinderen, 2010-2015
Type onderzoek: | Gemeten |
Leeftijd: | 12-17 |
Referenties: | 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 |
Definities (alleen beschikbaar in het Engels): | Prevalence of less-than-daily vegetable consumption (% less-than-daily vegetable consumption) |
Gemiddelde wekelijkse consumptie van fastfood
Kinderen, 2010-2015
Leeftijd: | 12-17 |
Referenties: | 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 |
Geschatte consumptie van verwerkt vlees per capita
Volwassenen, 2017
Type onderzoek: | Gemeten |
Leeftijd: | 25+ |
Referenties: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
Definities (alleen beschikbaar in het Engels): | Estimated per-capita processed meat intake (g per day) |
Estimated per capita whole grains intake
Volwassenen, 2017
Type onderzoek: | Gemeten |
Leeftijd: | 25+ |
Referenties: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
Definities (alleen beschikbaar in het Engels): | Estimated per-capita whole grains intake (g/day) |
Geestelijke gezondheid - depressiestoornissen
Volwassenen, 2015
Referenties: | 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. |
Definities (alleen beschikbaar in het Engels): | % of population with depression disorders |
Geestelijke gezondheid - angststoornissen
Volwassenen, 2015
Referenties: | 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. |
Definities (alleen beschikbaar in het Engels): | % of population with anxiety disorders |
% Zuigelingen die uitsluitend borstvoeding krijgen 0-5 maanden
Infants, 2007-2022
Referenties: | Tonga Multiple Indicator Cluster Survey 2019, Survey Findings Report. Nuku’alofa, Tonga: Tonga Statistics Department |
Notities (alleen beschikbaar in het Engels): | 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. |
Verhoogde bloeddruk
Volwassenen, 2015
Referenties: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A875?lang=en |
Definities (alleen beschikbaar in het Engels): | Age Standardised estimated % Raised blood pressure 2015 (SBP>=140 OR DBP>=90). |
Mannen, 2015
Referenties: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A875?lang=en |
Definities (alleen beschikbaar in het Engels): | Age Standardised estimated % Raised blood pressure 2015 (SBP>=140 OR DBP>=90). |
Vrouwen, 2015
Referenties: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A875?lang=en |
Definities (alleen beschikbaar in het Engels): | Age Standardised estimated % Raised blood pressure 2015 (SBP>=140 OR DBP>=90). |
Verhoogd cholesterol
Volwassenen, 2008
Referenties: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A885 |
Definities (alleen beschikbaar in het Engels): | % Raised total cholesterol (>= 5.0 mmol/L) (age-standardized estimate). |
Mannen, 2008
Referenties: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A885 |
Definities (alleen beschikbaar in het Engels): | % Raised total cholesterol (>= 5.0 mmol/L) (age-standardized estimate). |
Vrouwen, 2008
Referenties: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A885 |
Definities (alleen beschikbaar in het Engels): | % Raised total cholesterol (>= 5.0 mmol/L) (age-standardized estimate). |
Verhoogde nuchtere bloedglucose
Mannen, 2014
Referenties: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A869?lang=en |
Definities (alleen beschikbaar in het Engels): | Age Standardised % raised fasting blood glucose (>= 7.0 mmol/L or on medication). |
Vrouwen, 2014
Referenties: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A869?lang=en |
Definities (alleen beschikbaar in het Engels): | Age Standardised % raised fasting blood glucose (>= 7.0 mmol/L or on medication). |
Diabetesprevalentie
Volwassenen, 2021
Leeftijd: | 20-79 |
In aanmerking komend gebied: | Nationaal |
Referenties: | Reproduced with kind permission International Diabetes Federation. IDF Diabetes Atlas, 10th edn. Brussels, Belgium:International Diabetes Federation, 2021. http://www.diabetesatlas.org |
Definities (alleen beschikbaar in het Engels): | Age-adjusted comparative prevalence of diabetes, % |
Volwassenen, 2019
Leeftijd: | 20-79 |
Referenties: | Reproduced with kind permission International Diabetes Federation. IDF Diabetes Atlas, 9th edn. Brussels,Belgium: 2019. Available at: https://www.diabetesatlas.org |
Definities (alleen beschikbaar in het Engels): | Diabetes age-adjusted comparative prevalence (%). |
Volwassenen, 2017
Referenties: | Reproduced with kind permission of IDF, International Diabetes Federation. IDF Diabetes Atlas, 8th edition. Brussels, Belgium: International Diabetes Federation, 2017. http://www.diabetesatlas.org |
Definities (alleen beschikbaar in het Engels): | 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 |
Guidelines/policy on obesity treatment? | 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
Present
Present (voluntary)
Incoming
Absent
Unknown
Last updated September 13, 2022
Download contextual factors as a PDF Contextual factors definitions