Tonga
Upper-middle income
- Apžvalga
- Nutukimo paplitimas
- Tendencijos
- Gyventojų pasiskirstymas
- Paskatos
- Gretutinės ligos
- Ekonominis poveikis
- Politikos (tik anglų k.)
- Contextual factors
Įkeliami duomenys, palaukite...
Nacionalinė nutukimo rizika *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.Nutukimo vaikystėje rizika *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).
Nutukimo paplitimas
Tendencijos
Atsisiųsti ataskaitos kortelę
Ataskaitos kortelėje surinkti visi naujausi šios šalies vaizdiniai duomenys. Jei norite sukurti tinkintą ataskaitą pasirinktų vaizdinių duomenų pagrindu, palieskite mygtuką „Įtraukti į tinkintą PDF“, esantį po norimu naudoti vaizdiniu elementu.Gyventojų pasiskirstymas
Paskatos
Nepakankamas aktyvumas
Gaiviųjų gėrimų vartojimas
Vaisių vartojimas
Daržovių vartojimas
Greito maisto vartojimas
Perdirbtos mėsos vartojimas
Grūdų vartojimas
Depresija
Nerimas
Nutukimo šaknys »
Like all chronic diseases, the root causes/drivers of obesity are complex. Select here to view 'other' root causes/drivers.Maitinimas krūtimi
Atsisiųsti ataskaitos kortelę
Gretutinės ligos
Ekonominis poveikis
Politikos (tik anglų k.)
Contextual factors
Nutukimo paplitimas
Suaugusieji, 2017
Tyrimo tipas: | Išmatuotas |
Amžius: | 18-69 |
Imties dydis: | 3858 |
Teritorija: | Nacionalinis |
Nuorodos: | Tonga STEPS Survey 2017 https://extranet.who.int/ncdsmicrodata/index.php/catalog/713 (Last accessed 13.10.20) |
Jei nenurodyta kitaip, antsvoris reiškia KMI nuo 25 kg iki 29,9 kg/m², nutukimas – didesnį nei 30 kg/m² KMI.. |
Suaugusieji, 2012
Tyrimo tipas: | Išmatuotas |
Amžius: | 25-64 |
Imties dydis: | 2599 |
Teritorija: | Nacionalinis |
Nuorodos: | STEPS Survey Tonga 2012 available at https://www.who.int/ncds/surveillance/steps/2012_Tonga_STEPSReport.pdf (last accessed 04.05.2020) |
Pastabos (tik anglų k.): | STEPS |
Jei nenurodyta kitaip, antsvoris reiškia KMI nuo 25 kg iki 29,9 kg/m², nutukimas – didesnį nei 30 kg/m² KMI.. |
Suaugusieji, 2004
Tyrimo tipas: | Išmatuotas |
Amžius: | 15-64 |
Imties dydis: | 958 |
Teritorija: | Nacionalinis |
Nuorodos: | Tonga STEPS Survey 2004 |
Jei nenurodyta kitaip, antsvoris reiškia KMI nuo 25 kg iki 29,9 kg/m², nutukimas – didesnį nei 30 kg/m² KMI.. |
Suaugusieji, 1998-2000
Tyrimo tipas: | Išmatuotas |
Amžius: | 15-85 |
Imties dydis: | 1024 |
Teritorija: | Nacionalinis |
Nuorodos: | 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. |
Jei nenurodyta kitaip, antsvoris reiškia KMI nuo 25 kg iki 29,9 kg/m², nutukimas – didesnį nei 30 kg/m² KMI.. |
Vaikai, 2017
Tyrimo tipas: | Deklaravo patys |
Amžius: | 13-17 |
Imties dydis: | 3333 |
Teritorija: | Nacionalinis |
Nuorodos: | Tonga - Global School-Based Student Health Survey 2017 https://www.who.int/ncds/surveillance/gshs/tonga/en/ (Last accessed 20.10.20) |
Cutoffs: | WHO |
Vaikai, 2010
Tyrimo tipas: | Deklaravo patys |
Amžius: | 13-15 |
Imties dydis: | 2111 |
Teritorija: | Nacionalinis |
Nuorodos: | 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 |
Vaikai, 2002-2003
Tyrimo tipas: | Išmatuotas |
Amžius: | 5-11 |
Imties dydis: | 895 |
Nuorodos: | 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 |
Pastabos (tik anglų k.): | IOTF Cut off. Reference: Cole TJ, Bellizzi MC, Flegal KM, Dietz WH. Establishing a standard definition for child overweight and obesity worldwide: International survey. BMJ. 2000 May 6;320(7244):1240-3 |
Cutoffs: | IOTF |
Infants, 2019
Tyrimo tipas: | Išmatuotas |
Amžius: | 0-5 |
Imties dydis: | 1271 |
Teritorija: | Nacionalinis |
Nuorodos: | Tonga Multiple Indicator Cluster Survey 2019, Survey Findings Report. Nuku’alofa, Tonga: Tonga Statistics Department |
Pastabos (tik anglų k.): | Infants. |
Apibrėžimai (anglų k.): | Weight for height. Overweight = +2SD-+3SD. Obesity = >+3SD |
Cutoffs: | Other |
Infants, 2019
Amžius: | 0-5 |
Imties dydis: | 1271 |
Nuorodos: | MICS: Tonga Multiple Indicator Cluster Survey 2019, Survey Findings Report. Nuku’alofa, Tonga: Tonga Statistics Department |
Pastabos (tik anglų k.): | 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. |
Apibrėžimai (anglų k.): | =>+2SD |
Infants, 2012
Amžius: | 0-5 |
Nuorodos: | DHS-Style: Tonga demographic and health survey 2012. Noumea, New Caledonia: Secretariat of the Pacific Community, 2013. |
Pastabos (tik anglų k.): | 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. |
Apibrėžimai (anglų k.): | =>+2SD |
% Adults living with obesity in Tonga 1998-2017
Moterys
Tyrimo tipas: | Išmatuotas |
Nuorodos: | 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) |
Jei nenurodyta kitaip, antsvoris reiškia KMI nuo 25 kg iki 29,9 kg/m², nutukimas – didesnį nei 30 kg/m² KMI.. | |
Šiems duomenims rinkti galimai naudotos skirtingos metodikos, todėl skirtingų tyrimų duomenys gali nebūti visiškai palyginami. Naudotos metodikos nurodytos pirminiuose duomenų šaltiniuose. |
Vyrai
Tyrimo tipas: | Išmatuotas |
Nuorodos: | 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) |
Jei nenurodyta kitaip, antsvoris reiškia KMI nuo 25 kg iki 29,9 kg/m², nutukimas – didesnį nei 30 kg/m² KMI.. | |
Šiems duomenims rinkti galimai naudotos skirtingos metodikos, todėl skirtingų tyrimų duomenys gali nebūti visiškai palyginami. Naudotos metodikos nurodytos pirminiuose duomenų šaltiniuose. |
% Adults living with overweight or obesity in Tonga 1998-2017
Moterys
Tyrimo tipas: | Išmatuotas |
Nuorodos: | 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) |
Jei nenurodyta kitaip, antsvoris reiškia KMI nuo 25 kg iki 29,9 kg/m², nutukimas – didesnį nei 30 kg/m² KMI.. | |
Šiems duomenims rinkti galimai naudotos skirtingos metodikos, todėl skirtingų tyrimų duomenys gali nebūti visiškai palyginami. Naudotos metodikos nurodytos pirminiuose duomenų šaltiniuose. |
Vyrai
Tyrimo tipas: | Išmatuotas |
Nuorodos: | 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) |
Jei nenurodyta kitaip, antsvoris reiškia KMI nuo 25 kg iki 29,9 kg/m², nutukimas – didesnį nei 30 kg/m² KMI.. | |
Šiems duomenims rinkti galimai naudotos skirtingos metodikos, todėl skirtingų tyrimų duomenys gali nebūti visiškai palyginami. Naudotos metodikos nurodytos pirminiuose duomenų šaltiniuose. |
% Adults living with obesity in selected countries in the Asia/Oceania Region 1975-2019, atrinktos šalys
Vyrai
Nuorodos: | 1976, 1981, 1986: Yoshiike N, Seino F, Tajima S, Arai Y, Kawano M, Furuhata T, Inoue S. Twenty-year changes in the prevalence of overweight in Japanese adults: The National Nutrition Survey 1976-95. Obesity Reviews 2002;3:183-190 1993: 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) |
Šiems duomenims rinkti galimai naudotos skirtingos metodikos, todėl skirtingų tyrimų duomenys gali nebūti visiškai palyginami. Naudotos metodikos nurodytos pirminiuose duomenų šaltiniuose. |
Moterys
Nuorodos: | 1976, 1981, 1986: Yoshiike N, Seino F, Tajima S, Arai Y, Kawano M, Furuhata T, Inoue S. Twenty-year changes in the prevalence of overweight in Japanese adults: The National Nutrition Survey 1976-95. Obesity Reviews 2002;3:183-190 1993: 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) |
Šiems duomenims rinkti galimai naudotos skirtingos metodikos, todėl skirtingų tyrimų duomenys gali nebūti visiškai palyginami. Naudotos metodikos nurodytos pirminiuose duomenų šaltiniuose. |
Antsvoris / nutukimas pagal išsilavinimą
Infants, 2019
Imties dydis: | 1271 |
Nuorodos: | MICS: Tonga Multiple Indicator Cluster Survey 2019, Survey Findings Report. Nuku’alofa, Tonga: Tonga Statistics Department |
Pastabos (tik anglų k.): | 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. |
Apibrėžimai (anglų k.): | =>+2SD |
Infants, 2012
Nuorodos: | DHS-Style: Tonga demographic and health survey 2012. Noumea, New Caledonia: Secretariat of the Pacific Community, 2013. |
Pastabos (tik anglų k.): | 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. |
Apibrėžimai (anglų k.): | =>+2SD |
Antsvoris / nutukimas pagal amžių
Suaugusieji, 2012
Tyrimo tipas: | Išmatuotas |
Imties dydis: | 2599 |
Teritorija: | Nacionalinis |
Nuorodos: | STEPS Survey Tonga 2012 available at https://www.who.int/ncds/surveillance/steps/2012_Tonga_STEPSReport.pdf (last accessed 04.05.2020) |
Pastabos (tik anglų k.): | STEPS |
Jei nenurodyta kitaip, antsvoris reiškia KMI nuo 25 kg iki 29,9 kg/m², nutukimas – didesnį nei 30 kg/m² KMI.. |
Antsvoris / nutukimas pagal regioną
Infants, 2019
Imties dydis: | 1271 |
Nuorodos: | MICS: Tonga Multiple Indicator Cluster Survey 2019, Survey Findings Report. Nuku’alofa, Tonga: Tonga Statistics Department |
Pastabos (tik anglų k.): | 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. |
Apibrėžimai (anglų k.): | =>+2SD |
Infants, 2012
Nuorodos: | DHS-Style: Tonga demographic and health survey 2012. Noumea, New Caledonia: Secretariat of the Pacific Community, 2013. |
Pastabos (tik anglų k.): | 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. |
Apibrėžimai (anglų k.): | =>+2SD |
Antsvoris / nutukimas pagal socialinę-ekonominę būklę
Infants, 2019
Imties dydis: | 1271 |
Nuorodos: | MICS: Tonga Multiple Indicator Cluster Survey 2019, Survey Findings Report. Nuku’alofa, Tonga: Tonga Statistics Department |
Pastabos (tik anglų k.): | 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. |
Apibrėžimai (anglų k.): | =>+2SD |
Infants, 2012
Nuorodos: | DHS-Style: Tonga demographic and health survey 2012. Noumea, New Caledonia: Secretariat of the Pacific Community, 2013. |
Pastabos (tik anglų k.): | 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. |
Apibrėžimai (anglų k.): | =>+2SD |
Nepakankamas fizinis aktyvumas
Suaugusieji, 2016
Nuorodos: | 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 |
Vyrai, 2016
Nuorodos: | 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 |
Moterys, 2016
Nuorodos: | 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 |
Vaikai, 2016
Tyrimo tipas: | Deklaravo patys |
Amžius: | 11-17 |
Nuorodos: | Global Health Observatory data repository, World Health Organisation, https://apps.who.int/gho/data/node.main.A893ADO?lang=en (last accessed 16.03.21) |
Pastabos (tik anglų k.): | % 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. |
Apibrėžimai (anglų k.): | % Adolescents insufficiently active (age standardised estimate) |
Berniukai, 2016
Tyrimo tipas: | Deklaravo patys |
Amžius: | 11-17 |
Nuorodos: | Global Health Observatory data repository, World Health Organisation, https://apps.who.int/gho/data/node.main.A893ADO?lang=en (last accessed 16.03.21) |
Pastabos (tik anglų k.): | % 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. |
Apibrėžimai (anglų k.): | % Adolescents insufficiently active (age standardised estimate) |
Merginos, 2016
Tyrimo tipas: | Deklaravo patys |
Amžius: | 11-17 |
Nuorodos: | Global Health Observatory data repository, World Health Organisation, https://apps.who.int/gho/data/node.main.A893ADO?lang=en (last accessed 16.03.21) |
Pastabos (tik anglų k.): | % 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. |
Apibrėžimai (anglų k.): | % Adolescents insufficiently active (age standardised estimate) |
Vaikai, 2010
Amžius: | 11-17 |
Nuorodos: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A893?lang=en |
Pastabos (tik anglų k.): | % 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. |
Apibrėžimai (anglų k.): | % Adolescents insufficiently active (age standardised estimate) |
Berniukai, 2010
Amžius: | 11-17 |
Nuorodos: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A893?lang=en |
Pastabos (tik anglų k.): | % 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. |
Apibrėžimai (anglų k.): | % Adolescents insufficiently active (age standardised estimate) |
Merginos, 2010
Amžius: | 11-17 |
Nuorodos: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A893?lang=en |
Pastabos (tik anglų k.): | % 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. |
Apibrėžimai (anglų k.): | % Adolescents insufficiently active (age standardised estimate) |
Vidutinis kasdienis gazuotų gaiviųjų gėrimų vartojimo dažnis
Vaikai, 2010-2015
Tyrimo tipas: | Išmatuotas |
Amžius: | 12-17 |
Nuorodos: | 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
Suaugusieji, 2017
Tyrimo tipas: | Išmatuotas |
Amžius: | 25+ |
Nuorodos: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
Apibrėžimai (anglų k.): | Estimated per-capita fruit intake (g/day) |
Vaisių vartojimo rečiau nei kartą per dieną paplitimas
Vaikai, 2010-2015
Tyrimo tipas: | Išmatuotas |
Amžius: | 12-17 |
Nuorodos: | 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 |
Apibrėžimai (anglų k.): | Prevalence of less-than-daily fruit consumption (% less-than-daily fruit consumption) |
Daržovių vartojimo rečiau nei kartą per dieną paplitimas
Vaikai, 2010-2015
Tyrimo tipas: | Išmatuotas |
Amžius: | 12-17 |
Nuorodos: | 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 |
Apibrėžimai (anglų k.): | Prevalence of less-than-daily vegetable consumption (% less-than-daily vegetable consumption) |
Vidutinis savaitinis greito maisto vartojimo dažnis
Vaikai, 2010-2015
Amžius: | 12-17 |
Nuorodos: | 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 |
Perdirbtos mėsos suvartojimas vienam gyventojui
Suaugusieji, 2017
Tyrimo tipas: | Išmatuotas |
Amžius: | 25+ |
Nuorodos: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
Apibrėžimai (anglų k.): | Estimated per-capita processed meat intake (g per day) |
Estimated per capita whole grains intake
Suaugusieji, 2017
Tyrimo tipas: | Išmatuotas |
Amžius: | 25+ |
Nuorodos: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
Apibrėžimai (anglų k.): | Estimated per-capita whole grains intake (g/day) |
Psichinė sveikata – depresijos sutrikimai
Suaugusieji, 2015
Nuorodos: | 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. |
Apibrėžimai (anglų k.): | % of population with depression disorders |
Psichinė sveikata – nerimo sutrikimai
Suaugusieji, 2015
Nuorodos: | 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. |
Apibrėžimai (anglų k.): | % of population with anxiety disorders |
% kūdikių, tik žindomų 0–5 mėn.
Infants, 2007-2022
Nuorodos: | Tonga Multiple Indicator Cluster Survey 2019, Survey Findings Report. Nuku’alofa, Tonga: Tonga Statistics Department |
Pastabos (tik anglų k.): | 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. |
Padidėjęs kraujospūdis
Suaugusieji, 2015
Nuorodos: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A875?lang=en |
Apibrėžimai (anglų k.): | Age Standardised estimated % Raised blood pressure 2015 (SBP>=140 OR DBP>=90). |
Vyrai, 2015
Nuorodos: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A875?lang=en |
Apibrėžimai (anglų k.): | Age Standardised estimated % Raised blood pressure 2015 (SBP>=140 OR DBP>=90). |
Moterys, 2015
Nuorodos: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A875?lang=en |
Apibrėžimai (anglų k.): | Age Standardised estimated % Raised blood pressure 2015 (SBP>=140 OR DBP>=90). |
Padidėjęs cholesterolio kiekis
Suaugusieji, 2008
Nuorodos: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A885 |
Apibrėžimai (anglų k.): | % Raised total cholesterol (>= 5.0 mmol/L) (age-standardized estimate). |
Vyrai, 2008
Nuorodos: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A885 |
Apibrėžimai (anglų k.): | % Raised total cholesterol (>= 5.0 mmol/L) (age-standardized estimate). |
Moterys, 2008
Nuorodos: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A885 |
Apibrėžimai (anglų k.): | % Raised total cholesterol (>= 5.0 mmol/L) (age-standardized estimate). |
Padidėjęs gliukozės kiekis kraujyje nevalgius
Vyrai, 2014
Nuorodos: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A869?lang=en |
Apibrėžimai (anglų k.): | Age Standardised % raised fasting blood glucose (>= 7.0 mmol/L or on medication). |
Moterys, 2014
Nuorodos: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A869?lang=en |
Apibrėžimai (anglų k.): | Age Standardised % raised fasting blood glucose (>= 7.0 mmol/L or on medication). |
Diabeto paplitimas
Suaugusieji, 2021
Amžius: | 20-79 |
Teritorija: | Nacionalinis |
Nuorodos: | Reproduced with kind permission International Diabetes Federation. IDF Diabetes Atlas, 10th edn. Brussels, Belgium:International Diabetes Federation, 2021. http://www.diabetesatlas.org |
Apibrėžimai (anglų k.): | Age-adjusted comparative prevalence of diabetes, % |
Suaugusieji, 2019
Amžius: | 20-79 |
Nuorodos: | Reproduced with kind permission International Diabetes Federation. IDF Diabetes Atlas, 9th edn. Brussels,Belgium: 2019. Available at: https://www.diabetesatlas.org |
Apibrėžimai (anglų k.): | Diabetes age-adjusted comparative prevalence (%). |
Suaugusieji, 2017
Nuorodos: | Reproduced with kind permission of IDF, International Diabetes Federation. IDF Diabetes Atlas, 8th edition. Brussels, Belgium: International Diabetes Federation, 2017. http://www.diabetesatlas.org |
Apibrėžimai (anglų k.): | 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