Τόνγκα
Upper-middle income
- Επισκόπηση
- Επιπολασμός της παχυσαρκίας
- Τάσεις σε συνάρτηση με τον χρόνο
- Κατανομή πληθυσμού
- Παράγοντες
- Συννοσηρότητες
- Οικονομικές επιπτώσεις
- Πολιτικές
- Contextual factors
Report cards
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Κατανομή πληθυσμού
Παράγοντες
Ανεπαρκής δραστηριότητα
Κατανάλωση αναψυκτικών
Κατανάλωση φρούτων
Κατανάλωση λαχανικών
Κατανάλωση γρήγορου φαγητού
Κατανάλωση επεξεργασμένου κρέατος
Κατανάλωση δημητριακών
Κατάθλιψη
Άγχος
Αίτια της παχυσαρκίας »
Like all chronic diseases, the root causes/drivers of obesity are complex. Select here to view 'other' root causes/drivers.Θηλασμός
Λήψη κάρτας αναφοράς
Συννοσηρότητες
Οικονομικές επιπτώσεις
Πολιτικές
Contextual factors
Επιπολασμός της παχυσαρκίας
Ενήλικες, 2017
Τύπος έρευνας: | Από μέτρηση |
Ηλικία: | 18-69 |
Μέγεθος δείγματος: | 3858 |
Γεωγραφική κάλυψη: | Εθνική |
Παραπομπές: | Tonga STEPS Survey 2017 https://extranet.who.int/ncdsmicrodata/index.php/catalog/713 (Last accessed 13.10.20) |
Εκτός εάν υποδεικνύεται διαφορετικά, το υπερβολικό βάρος αναφέρεται σε ΔΜΣ μεταξύ 25 κιλών και 29,9 κιλών/m², η παχυσαρκία αναφέρεται σε ΔΜΣ υψηλότερο από 30 κιλά/m². |
Ενήλικες, 2012
Τύπος έρευνας: | Από μέτρηση |
Ηλικία: | 25-64 |
Μέγεθος δείγματος: | 2599 |
Γεωγραφική κάλυψη: | Εθνική |
Παραπομπές: | STEPS Survey Tonga 2012 available at https://www.who.int/ncds/surveillance/steps/2012_Tonga_STEPSReport.pdf (last accessed 04.05.2020) |
Σημειώσεις: | STEPS |
Εκτός εάν υποδεικνύεται διαφορετικά, το υπερβολικό βάρος αναφέρεται σε ΔΜΣ μεταξύ 25 κιλών και 29,9 κιλών/m², η παχυσαρκία αναφέρεται σε ΔΜΣ υψηλότερο από 30 κιλά/m². |
Ενήλικες, 2004
Τύπος έρευνας: | Από μέτρηση |
Ηλικία: | 15-64 |
Μέγεθος δείγματος: | 958 |
Γεωγραφική κάλυψη: | Εθνική |
Παραπομπές: | Tonga STEPS Survey 2004 |
Εκτός εάν υποδεικνύεται διαφορετικά, το υπερβολικό βάρος αναφέρεται σε ΔΜΣ μεταξύ 25 κιλών και 29,9 κιλών/m², η παχυσαρκία αναφέρεται σε ΔΜΣ υψηλότερο από 30 κιλά/m². |
Ενήλικες, 1998-2000
Τύπος έρευνας: | Από μέτρηση |
Ηλικία: | 15-85 |
Μέγεθος δείγματος: | 1024 |
Γεωγραφική κάλυψη: | Εθνική |
Παραπομπές: | 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. |
Εκτός εάν υποδεικνύεται διαφορετικά, το υπερβολικό βάρος αναφέρεται σε ΔΜΣ μεταξύ 25 κιλών και 29,9 κιλών/m², η παχυσαρκία αναφέρεται σε ΔΜΣ υψηλότερο από 30 κιλά/m². |
Παιδιά, 2017
Τύπος έρευνας: | Αυτοαναφερόμενοι |
Ηλικία: | 13-17 |
Μέγεθος δείγματος: | 3333 |
Γεωγραφική κάλυψη: | Εθνική |
Παραπομπές: | Tonga - Global School-Based Student Health Survey 2017 https://www.who.int/ncds/surveillance/gshs/tonga/en/ (Last accessed 20.10.20) |
Cutoffs: | WHO |
Παιδιά, 2010
Τύπος έρευνας: | Αυτοαναφερόμενοι |
Ηλικία: | 13-15 |
Μέγεθος δείγματος: | 2111 |
Γεωγραφική κάλυψη: | Εθνική |
Παραπομπές: | 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 |
Παιδιά, 2002-2003
Τύπος έρευνας: | Από μέτρηση |
Ηλικία: | 5-11 |
Μέγεθος δείγματος: | 895 |
Παραπομπές: | 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 |
Σημειώσεις: | 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
Ηλικία: | 0-5 |
Μέγεθος δείγματος: | 1271 |
Παραπομπές: | MICS: Tonga Multiple Indicator Cluster Survey 2019, Survey Findings Report. Nuku’alofa, Tonga: Tonga Statistics Department |
Σημειώσεις: | 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. |
Ορισμοί: | =>+2SD |
0-5 years, 2019
Τύπος έρευνας: | Από μέτρηση |
Ηλικία: | 0-5 |
Μέγεθος δείγματος: | 1271 |
Γεωγραφική κάλυψη: | Εθνική |
Παραπομπές: | Tonga Multiple Indicator Cluster Survey 2019, Survey Findings Report. Nuku’alofa, Tonga: Tonga Statistics Department |
Σημειώσεις: | Infants. |
Ορισμοί: | Weight for height. Overweight = +2SD-+3SD. Obesity = >+3SD |
Cutoffs: | Other |
0-5 years, 2012
Ηλικία: | 0-5 |
Παραπομπές: | DHS-Style: Tonga demographic and health survey 2012. Noumea, New Caledonia: Secretariat of the Pacific Community, 2013. |
Σημειώσεις: | 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. |
Ορισμοί: | =>+2SD |
% Adults living with obesity in Tonga 1998-2017
Γυναίκες
Τύπος έρευνας: | Από μέτρηση |
Παραπομπές: | 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) |
Εκτός εάν υποδεικνύεται διαφορετικά, το υπερβολικό βάρος αναφέρεται σε ΔΜΣ μεταξύ 25 κιλών και 29,9 κιλών/m², η παχυσαρκία αναφέρεται σε ΔΜΣ υψηλότερο από 30 κιλά/m². | |
Ενδέχεται να έχουν χρησιμοποιηθεί διαφορετικές μεθοδολογίες για τη συλλογή αυτών των δεδομένων και, ως εκ τούτου, ενδέχεται να μην υπάρχει δυνατότητα για απόλυτη σύγκριση δεδομένων από διαφορετικές έρευνες. Ελέγξτε τις αρχικές πηγές των δεδομένων για να πληροφορηθείτε σχετικά με τις μεθοδολογίες που χρησιμοποιήθηκαν |
Ανδρες
Τύπος έρευνας: | Από μέτρηση |
Παραπομπές: | 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) |
Εκτός εάν υποδεικνύεται διαφορετικά, το υπερβολικό βάρος αναφέρεται σε ΔΜΣ μεταξύ 25 κιλών και 29,9 κιλών/m², η παχυσαρκία αναφέρεται σε ΔΜΣ υψηλότερο από 30 κιλά/m². | |
Ενδέχεται να έχουν χρησιμοποιηθεί διαφορετικές μεθοδολογίες για τη συλλογή αυτών των δεδομένων και, ως εκ τούτου, ενδέχεται να μην υπάρχει δυνατότητα για απόλυτη σύγκριση δεδομένων από διαφορετικές έρευνες. Ελέγξτε τις αρχικές πηγές των δεδομένων για να πληροφορηθείτε σχετικά με τις μεθοδολογίες που χρησιμοποιήθηκαν |
% Adults living with overweight or obesity in Tonga 1998-2017
Γυναίκες
Τύπος έρευνας: | Από μέτρηση |
Παραπομπές: | 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) |
Εκτός εάν υποδεικνύεται διαφορετικά, το υπερβολικό βάρος αναφέρεται σε ΔΜΣ μεταξύ 25 κιλών και 29,9 κιλών/m², η παχυσαρκία αναφέρεται σε ΔΜΣ υψηλότερο από 30 κιλά/m². | |
Ενδέχεται να έχουν χρησιμοποιηθεί διαφορετικές μεθοδολογίες για τη συλλογή αυτών των δεδομένων και, ως εκ τούτου, ενδέχεται να μην υπάρχει δυνατότητα για απόλυτη σύγκριση δεδομένων από διαφορετικές έρευνες. Ελέγξτε τις αρχικές πηγές των δεδομένων για να πληροφορηθείτε σχετικά με τις μεθοδολογίες που χρησιμοποιήθηκαν |
Ανδρες
Τύπος έρευνας: | Από μέτρηση |
Παραπομπές: | 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) |
Εκτός εάν υποδεικνύεται διαφορετικά, το υπερβολικό βάρος αναφέρεται σε ΔΜΣ μεταξύ 25 κιλών και 29,9 κιλών/m², η παχυσαρκία αναφέρεται σε ΔΜΣ υψηλότερο από 30 κιλά/m². | |
Ενδέχεται να έχουν χρησιμοποιηθεί διαφορετικές μεθοδολογίες για τη συλλογή αυτών των δεδομένων και, ως εκ τούτου, ενδέχεται να μην υπάρχει δυνατότητα για απόλυτη σύγκριση δεδομένων από διαφορετικές έρευνες. Ελέγξτε τις αρχικές πηγές των δεδομένων για να πληροφορηθείτε σχετικά με τις μεθοδολογίες που χρησιμοποιήθηκαν |
% Adults living with obesity in selected countries in the Asia/Oceania Region 1975-2019, επιλεγμένες χώρες
Ανδρες
Παραπομπές: | 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, 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 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 2006: Gerritsen S, Stefanogiannis N, Galloway Y, Devlin M, Templaton R and Yeh L. A portrait of health: key results of the 2006/07 New Zealand Health Survey. 2007: 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: 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: New Zealand Health Survey. https://www.health.govt.nz/publication/annual-update-key-results-2018-19-new-zealand-health-survey (last accessed 14.07.20) 2014: National Institute of Population Research and Training - NIPORT/Bangladesh, Mitra and Associates, and ICF International. 2016. Bangladesh Demographic and Health Survey 2014. Dhaka, Bangladesh: NIPORT, Mitra and Associates, and ICF International.. http://www.dhsprogram.com/publications/publication-FR311-DHS-Final-Reports.cfm (last accessed 11th April 2016) 2015: Institute for Public Health (IPH) 2015. National Health and Morbidity Survey 2015 (NHMS 2015). Vol. II: Non-Communicable Diseases, Risk Factors & Other Health Problems; 2015. 2016: Ministry of Health - MOH/Nepal, New ERA/Nepal, and ICF. 2017. Nepal Demographic and Health Survey 2016. Kathmandu, Nepal: MOH/Nepal, New ERA/Nepal, and ICF. 2017: Tonga STEPS Survey 2017 https://extranet.who.int/ncdsmicrodata/index.php/catalog/713 (Last accessed 13.10.20) 2018: New Zealand Health Survey 2018-19. New Zealand Ministry of Health (https://minhealthnz.shinyapps.io/nz-health-survey-2018-19-annual-data-explorer/_w_b396d161/#!/key-indicators accessed 14.11.19) 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 Accessed 08.11.21. 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: 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) 2023: Institute for Public Health (IKU). National Health and Morbidity Survey (NHMS) 2023: Non-Communicable Diseases and Healthcare Demand: Technical Report; 2024. Available at https://iku.nih.gov.my/nhms-2023 (last accessed 04.02.25) |
Ενδέχεται να έχουν χρησιμοποιηθεί διαφορετικές μεθοδολογίες για τη συλλογή αυτών των δεδομένων και, ως εκ τούτου, ενδέχεται να μην υπάρχει δυνατότητα για απόλυτη σύγκριση δεδομένων από διαφορετικές έρευνες. Ελέγξτε τις αρχικές πηγές των δεδομένων για να πληροφορηθείτε σχετικά με τις μεθοδολογίες που χρησιμοποιήθηκαν |
Γυναίκες
Παραπομπές: | 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, 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 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 2006: Gerritsen S, Stefanogiannis N, Galloway Y, Devlin M, Templaton R and Yeh L. A portrait of health: key results of the 2006/07 New Zealand Health Survey. 2007: 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: 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: New Zealand Health Survey. https://www.health.govt.nz/publication/annual-update-key-results-2018-19-new-zealand-health-survey (last accessed 14.07.20) 2014: National Institute of Population Research and Training - NIPORT/Bangladesh, Mitra and Associates, and ICF International. 2016. Bangladesh Demographic and Health Survey 2014. Dhaka, Bangladesh: NIPORT, Mitra and Associates, and ICF International.. http://www.dhsprogram.com/publications/publication-FR311-DHS-Final-Reports.cfm (last accessed 11th April 2016) 2015: Institute for Public Health (IPH) 2015. National Health and Morbidity Survey 2015 (NHMS 2015). Vol. II: Non-Communicable Diseases, Risk Factors & Other Health Problems; 2015. 2016: Ministry of Health - MOH/Nepal, New ERA/Nepal, and ICF. 2017. Nepal Demographic and Health Survey 2016. Kathmandu, Nepal: MOH/Nepal, New ERA/Nepal, and ICF. 2017: Tonga STEPS Survey 2017 https://extranet.who.int/ncdsmicrodata/index.php/catalog/713 (Last accessed 13.10.20) 2018: New Zealand Health Survey 2018-19. New Zealand Ministry of Health (https://minhealthnz.shinyapps.io/nz-health-survey-2018-19-annual-data-explorer/_w_b396d161/#!/key-indicators accessed 14.11.19) 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 Accessed 08.11.21. 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: 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) 2023: Institute for Public Health (IKU). National Health and Morbidity Survey (NHMS) 2023: Non-Communicable Diseases and Healthcare Demand: Technical Report; 2024. Available at https://iku.nih.gov.my/nhms-2023 (last accessed 04.02.25) |
Ενδέχεται να έχουν χρησιμοποιηθεί διαφορετικές μεθοδολογίες για τη συλλογή αυτών των δεδομένων και, ως εκ τούτου, ενδέχεται να μην υπάρχει δυνατότητα για απόλυτη σύγκριση δεδομένων από διαφορετικές έρευνες. Ελέγξτε τις αρχικές πηγές των δεδομένων για να πληροφορηθείτε σχετικά με τις μεθοδολογίες που χρησιμοποιήθηκαν |
Υπερβολικό βάρος/παχυσαρκία ανά ηλικία
Ενήλικες, 2012
Τύπος έρευνας: | Από μέτρηση |
Μέγεθος δείγματος: | 2599 |
Γεωγραφική κάλυψη: | Εθνική |
Παραπομπές: | STEPS Survey Tonga 2012 available at https://www.who.int/ncds/surveillance/steps/2012_Tonga_STEPSReport.pdf (last accessed 04.05.2020) |
Σημειώσεις: | STEPS |
Εκτός εάν υποδεικνύεται διαφορετικά, το υπερβολικό βάρος αναφέρεται σε ΔΜΣ μεταξύ 25 κιλών και 29,9 κιλών/m², η παχυσαρκία αναφέρεται σε ΔΜΣ υψηλότερο από 30 κιλά/m². |
Υπερβολικό βάρος/παχυσαρκία ανά περιφέρεια
0-5 years, 2019
Μέγεθος δείγματος: | 1271 |
Παραπομπές: | MICS: Tonga Multiple Indicator Cluster Survey 2019, Survey Findings Report. Nuku’alofa, Tonga: Tonga Statistics Department |
Σημειώσεις: | 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. |
Ορισμοί: | =>+2SD |
0-5 years, 2012
Παραπομπές: | DHS-Style: Tonga demographic and health survey 2012. Noumea, New Caledonia: Secretariat of the Pacific Community, 2013. |
Σημειώσεις: | 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. |
Ορισμοί: | =>+2SD |
Υπερβολικό βάρος/Παχυσαρκία ανά κοινωνικοοικονομική ομάδα
0-5 years, 2019
Μέγεθος δείγματος: | 1271 |
Παραπομπές: | MICS: Tonga Multiple Indicator Cluster Survey 2019, Survey Findings Report. Nuku’alofa, Tonga: Tonga Statistics Department |
Σημειώσεις: | 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. |
Ορισμοί: | =>+2SD |
0-5 years, 2012
Παραπομπές: | DHS-Style: Tonga demographic and health survey 2012. Noumea, New Caledonia: Secretariat of the Pacific Community, 2013. |
Σημειώσεις: | 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. |
Ορισμοί: | =>+2SD |
Double burden of underweight & overweight
Ενήλικες, 2022
Τύπος έρευνας: | Από μέτρηση |
Ηλικία: | 20+ |
Παραπομπές: | 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. |
Σημειώσεις: | Age Standardised estimates |
Ορισμοί: | Combined prevalence of BMI<18.5 kg/m² and BMI>=30 kg/m² (double burden of underweight and obesity) |
Παιδιά, 2022
Τύπος έρευνας: | Από μέτρηση |
Ηλικία: | 5-19 |
Παραπομπές: | 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. |
Σημειώσεις: | Age standardised estimates |
Ορισμοί: | Combined prevalence of BMI < -2SD and BMI > 2SD (double burden of thinness and obesity) |
Cutoffs: | BMI < -2SD and BMI > 2SD |
0-5 years, 2019-2019
Τύπος έρευνας: | Από μέτρηση |
Ηλικία: | 0-5 |
Παραπομπές: | UNICEF data available at https://data.unicef.org/topic/nutrition/malnutrition/(last accessed 12.03.25) |
Σημειώσεις: | Children under 5 falling below -2 standard deviations from the median height for age and falling at or above +2 standard deviations from the median weight-for-height of the reference population |
Ανεπαρκής σωματική άσκηση
Ενήλικες, 2016
Παραπομπές: | 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 |
Ανδρες, 2016
Παραπομπές: | 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 |
Γυναίκες, 2016
Παραπομπές: | 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 |
Παιδιά, 2016
Τύπος έρευνας: | Αυτοαναφερόμενοι |
Ηλικία: | 11-17 |
Παραπομπές: | Global Health Observatory data repository, World Health Organisation, https://apps.who.int/gho/data/node.main.A893ADO?lang=en (last accessed 16.03.21) |
Σημειώσεις: | % 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. |
Ορισμοί: | % Adolescents insufficiently active (age standardised estimate) |
Αγόρια, 2016
Τύπος έρευνας: | Αυτοαναφερόμενοι |
Ηλικία: | 11-17 |
Παραπομπές: | Global Health Observatory data repository, World Health Organisation, https://apps.who.int/gho/data/node.main.A893ADO?lang=en (last accessed 16.03.21) |
Σημειώσεις: | % 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. |
Ορισμοί: | % Adolescents insufficiently active (age standardised estimate) |
Κορίτσια, 2016
Τύπος έρευνας: | Αυτοαναφερόμενοι |
Ηλικία: | 11-17 |
Παραπομπές: | Global Health Observatory data repository, World Health Organisation, https://apps.who.int/gho/data/node.main.A893ADO?lang=en (last accessed 16.03.21) |
Σημειώσεις: | % 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. |
Ορισμοί: | % Adolescents insufficiently active (age standardised estimate) |
Παιδιά, 2010
Ηλικία: | 11-17 |
Παραπομπές: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A893?lang=en |
Σημειώσεις: | % 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. |
Ορισμοί: | % Adolescents insufficiently active (age standardised estimate) |
Αγόρια, 2010
Ηλικία: | 11-17 |
Παραπομπές: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A893?lang=en |
Σημειώσεις: | % 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. |
Ορισμοί: | % Adolescents insufficiently active (age standardised estimate) |
Κορίτσια, 2010
Ηλικία: | 11-17 |
Παραπομπές: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A893?lang=en |
Σημειώσεις: | % 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. |
Ορισμοί: | % Adolescents insufficiently active (age standardised estimate) |
Μέση ημερήσια συχνότητα κατανάλωσης ανθρακούχων αναψυκτικών
Παιδιά, 2010-2015
Τύπος έρευνας: | Από μέτρηση |
Ηλικία: | 12-17 |
Παραπομπές: | 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
Ενήλικες, 2017
Τύπος έρευνας: | Από μέτρηση |
Ηλικία: | 25+ |
Παραπομπές: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
Ορισμοί: | Estimated per-capita fruit intake (g/day) |
Επιπολασμός της κατανάλωσης φρούτων λιγότερο συχνά από ημερησίως
Παιδιά, 2010-2015
Τύπος έρευνας: | Από μέτρηση |
Ηλικία: | 12-17 |
Παραπομπές: | 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 |
Ορισμοί: | Prevalence of less-than-daily fruit consumption (% less-than-daily fruit consumption) |
Επιπολασμός της κατανάλωσης λαχανικών λιγότερο συχνά από ημερησίως
Παιδιά, 2010-2015
Τύπος έρευνας: | Από μέτρηση |
Ηλικία: | 12-17 |
Παραπομπές: | 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 |
Ορισμοί: | Prevalence of less-than-daily vegetable consumption (% less-than-daily vegetable consumption) |
Μέση εβδομαδιαία συχνότητα κατανάλωσης γρήγορου φαγητού
Παιδιά, 2010-2015
Ηλικία: | 12-17 |
Παραπομπές: | 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 |
Εκτιμώμενη κατά κεφαλήν πρόσληψη επεξεργασμένου κρέατος
Ενήλικες, 2017
Τύπος έρευνας: | Από μέτρηση |
Ηλικία: | 25+ |
Παραπομπές: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
Ορισμοί: | Estimated per-capita processed meat intake (g per day) |
Estimated per capita whole grains intake
Ενήλικες, 2017
Τύπος έρευνας: | Από μέτρηση |
Ηλικία: | 25+ |
Παραπομπές: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
Ορισμοί: | Estimated per-capita whole grains intake (g/day) |
Ψυχική υγεία - καταθλιπτικές διαταραχές
Ενήλικες, 2021
Ηλικία: | 20+ |
Γεωγραφική κάλυψη: | Εθνική |
Παραπομπές: | 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) |
Ορισμοί: | Number living with depression per 100,000 population (adults 20+ years) |
Ανδρες, 2021
Ηλικία: | 20+ |
Γεωγραφική κάλυψη: | Εθνική |
Παραπομπές: | 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) |
Ορισμοί: | Number living with depression per 100,000 population (adults 20+ years) |
Γυναίκες, 2021
Ηλικία: | 20+ |
Γεωγραφική κάλυψη: | Εθνική |
Παραπομπές: | 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) |
Ορισμοί: | Number living with depression per 100,000 population (adults 20+ years) |
Ενήλικες, 2015-2021
Παραπομπές: | 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. |
Ορισμοί: | % of population with depression disorders |
Ενήλικες, 2015-2021
Παραπομπές: | 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. |
Ορισμοί: | % of population with depression disorders |
Ανδρες, 2015-2021
Παραπομπές: | 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. |
Ορισμοί: | % of population with depression disorders |
Γυναίκες, 2015-2021
Παραπομπές: | 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. |
Ορισμοί: | % of population with depression disorders |
Παιδιά, 2021
Γεωγραφική κάλυψη: | Εθνική |
Παραπομπές: | 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) |
Ορισμοί: | Number living with depressive disorder per 100,000 population (Under 20 years of age) |
Αγόρια, 2021
Γεωγραφική κάλυψη: | Εθνική |
Παραπομπές: | 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) |
Ορισμοί: | Number living with depressive disorder per 100,000 population (Under 20 years of age) |
Κορίτσια, 2021
Γεωγραφική κάλυψη: | Εθνική |
Παραπομπές: | 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) |
Ορισμοί: | Number living with depressive disorder per 100,000 population (Under 20 years of age) |
Ψυχική υγεία - αγχώδεις διαταραχές
Ενήλικες, 2021
Ηλικία: | 20+ |
Παραπομπές: | 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). |
Ορισμοί: | Number living with anxiety per 100,000 population |
Ανδρες, 2021
Ηλικία: | 20+ |
Παραπομπές: | 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). |
Ορισμοί: | Number living with anxiety per 100,000 population |
Γυναίκες, 2021
Ηλικία: | 20+ |
Παραπομπές: | 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). |
Ορισμοί: | Number living with anxiety per 100,000 population |
Ενήλικες, 2015-2021
Παραπομπές: | 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. |
Ορισμοί: | % of population with anxiety disorders |
Ενήλικες, 2015-2021
Παραπομπές: | 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. |
Ορισμοί: | % of population with anxiety disorders |
Ανδρες, 2015-2021
Παραπομπές: | 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. |
Ορισμοί: | % of population with anxiety disorders |
Γυναίκες, 2015-2021
Παραπομπές: | 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. |
Ορισμοί: | % of population with anxiety disorders |
Παιδιά, 2021
Παραπομπές: | 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) |
Αγόρια, 2021
Παραπομπές: | 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) |
Κορίτσια, 2021
Παραπομπές: | 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) |
% Βρεφών ηλικίας 0-5 μηνών που τρέφονται αποκλειστικά μέσω του μητρικού θηλασμού
0-5 years, 2007-2023
Παραπομπές: | Tonga Multiple Indicator Cluster Survey 2019, Survey Findings Report. Nuku’alofa, Tonga: Tonga Statistics Department |
Σημειώσεις: | 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. |
Αυξημένη αρτηριακή πίεση
Ενήλικες, 2015
Παραπομπές: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A875?lang=en |
Ορισμοί: | Age Standardised estimated % Raised blood pressure 2015 (SBP>=140 OR DBP>=90). |
Ανδρες, 2015
Παραπομπές: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A875?lang=en |
Ορισμοί: | Age Standardised estimated % Raised blood pressure 2015 (SBP>=140 OR DBP>=90). |
Γυναίκες, 2015
Παραπομπές: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A875?lang=en |
Ορισμοί: | Age Standardised estimated % Raised blood pressure 2015 (SBP>=140 OR DBP>=90). |
Αυξημένη χοληστερόλη
Ενήλικες, 2008
Παραπομπές: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A885 |
Ορισμοί: | % Raised total cholesterol (>= 5.0 mmol/L) (age-standardized estimate). |
Ανδρες, 2008
Παραπομπές: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A885 |
Ορισμοί: | % Raised total cholesterol (>= 5.0 mmol/L) (age-standardized estimate). |
Γυναίκες, 2008
Παραπομπές: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A885 |
Ορισμοί: | % Raised total cholesterol (>= 5.0 mmol/L) (age-standardized estimate). |
Αυξημένη γλυκόζη αίματος νηστείας
Ανδρες, 2014
Παραπομπές: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A869?lang=en |
Ορισμοί: | Age Standardised % raised fasting blood glucose (>= 7.0 mmol/L or on medication). |
Γυναίκες, 2014
Παραπομπές: | Global Health Observatory data repository, World Health Organisation, http://apps.who.int/gho/data/node.main.A869?lang=en |
Ορισμοί: | Age Standardised % raised fasting blood glucose (>= 7.0 mmol/L or on medication). |
Επιπολασμός του διαβήτη
Ενήλικες, 2024
Παραπομπές: | Reproduced with kind permission International Diabetes Federation. IDF Diabetes Atlas, 11th edn. Brussels, Belgium:International Diabetes Federation, 2025. http://www.diabetesatlas.org |
Ενήλικες, 2021
Ηλικία: | 20-79 |
Γεωγραφική κάλυψη: | Εθνική |
Παραπομπές: | Reproduced with kind permission International Diabetes Federation. IDF Diabetes Atlas, 10th edn. Brussels, Belgium:International Diabetes Federation, 2021. http://www.diabetesatlas.org |
Ορισμοί: | Age-adjusted comparative prevalence of diabetes, % |
Ενήλικες, 2019
Ηλικία: | 20-79 |
Παραπομπές: | Reproduced with kind permission International Diabetes Federation. IDF Diabetes Atlas, 9th edn. Brussels,Belgium: 2019. Available at: https://www.diabetesatlas.org |
Ορισμοί: | Diabetes age-adjusted comparative prevalence (%). |
Ενήλικες, 2017
Παραπομπές: | Reproduced with kind permission of IDF, International Diabetes Federation. IDF Diabetes Atlas, 8th edition. Brussels, Belgium: International Diabetes Federation, 2017. http://www.diabetesatlas.org |
Ορισμοί: | 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