Токелау
- Общ преглед
- Разпространение на затлъстяването
- Разбивки на населението
- Причини
- Съпътстващи заболявания
- Contextual factors
Report cards
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Разбивки на населението
Причини
Съпътстващи заболявания
Contextual factors
Разпространение на затлъстяването
Възрастни, 2005
Тип анкета: | Измерено |
Възраст: | 15-64 |
Количество на пробите: | 586 |
Обхваната зона: | Национално |
Референции: | STEPS Survey Tokelau 2005, available at https://extranet.who.int/ncdsmicrodata/index.php/catalog/683 (last accessed 16.10.20)-- |
Освен ако не е посочено друго, наднорменото тегло се отнася до ИТМ между 25 kg и 29,9°kg/m², затлъстяването се отнася до ИТМ, по-голям от 30°kg/m². |
Double burden of underweight & overweight
Възрастни, 2022
Тип анкета: | Измерено |
Възраст: | 20+ |
Референции: | NCD Risk Factor Collaboration (NCD-RisC). Worldwide trends in underweight and obesity from 1990 to 2022: a pooled analysis of 3663 population representative studies with 222 million children, adolescents, and adults. Lancet 2024; published online Feb 29. https://doi.org/10.1016/S0140-6736(23)02750-2. |
Забележки: | Age Standardised estimates |
Определения: | Combined prevalence of BMI<18.5 kg/m² and BMI>=30 kg/m² (double burden of underweight and obesity) |
Деца, 2022
Тип анкета: | Измерено |
Възраст: | 5-19 |
Референции: | NCD Risk Factor Collaboration (NCD-RisC). Worldwide trends in underweight and obesity from 1990 to 2022: a pooled analysis of 3663 population representative studies with 222 million children, adolescents, and adults. Lancet 2024; published online Feb 29. https://doi.org/10.1016/S0140-6736(23)02750-2. |
Забележки: | Age standardised estimates |
Определения: | Combined prevalence of BMI < -2SD and BMI > 2SD (double burden of thinness and obesity) |
Cutoffs: | BMI < -2SD and BMI > 2SD |
Преобладаване на по-малко от дневна консумация на плодове
Деца, 2014
Тип анкета: | Измерено |
Възраст: | 12-17 |
Референции: | Global School-based Student Health Surveys. Beal et al (2019). Global Patterns of Adolescent Fruit, Vegetable, Carbonated Soft Drink, and Fast-food consumption: A meta-analysis of global school-based student health surveys. Food and Nutrition Bulletin. https://doi.org/10.1177/0379572119848287. Sourced from Food Systems Dashboard http://www.foodsystemsdashboard.org/food-system |
Определения: | Prevalence of less-than-daily fruit consumption (% less-than-daily fruit consumption) |
Преобладаване на по-малко от дневна консумация на зеленчуци
Деца, 2014
Тип анкета: | Измерено |
Възраст: | 12-17 |
Референции: | Beal et al. (2019). Global Patterns of Adolescent Fruit, Vegetable, Carbonated Soft Drink, and Fast-food consumption: A meta-analysis of global school-based student health surveys. Food and Nutrition Bulletin. https://doi.org/10.1177/0379572119848287 sourced from Food Systems Dashboard http://www.foodsystemsdashboard.org/food-system |
Определения: | Prevalence of less-than-daily vegetable consumption (% less-than-daily vegetable consumption) |
Психично здраве – депресивни разстройства
Възрастни, 2021
Възраст: | 20+ |
Обхваната зона: | Национално |
Референции: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25) |
Определения: | Number living with depression per 100,000 population (adults 20+ years) |
Мъже, 2021
Възраст: | 20+ |
Обхваната зона: | Национално |
Референции: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25) |
Определения: | Number living with depression per 100,000 population (adults 20+ years) |
Жени, 2021
Възраст: | 20+ |
Обхваната зона: | Национално |
Референции: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25) |
Определения: | Number living with depression per 100,000 population (adults 20+ years) |
Деца, 2021
Обхваната зона: | Национално |
Референции: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25) |
Определения: | Number living with depressive disorder per 100,000 population (Under 20 years of age) |
Момчета, 2021
Обхваната зона: | Национално |
Референции: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25) |
Определения: | Number living with depressive disorder per 100,000 population (Under 20 years of age) |
Момичета, 2021
Обхваната зона: | Национално |
Референции: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25) |
Определения: | Number living with depressive disorder per 100,000 population (Under 20 years of age) |
Психично здраве – тревожни разстройства
Възрастни, 2021
Възраст: | 20+ |
Референции: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25). |
Определения: | Number living with anxiety per 100,000 population |
Мъже, 2021
Възраст: | 20+ |
Референции: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25). |
Определения: | Number living with anxiety per 100,000 population |
Жени, 2021
Възраст: | 20+ |
Референции: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25). |
Определения: | Number living with anxiety per 100,000 population |
Деца, 2021
Референции: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25) |
Момчета, 2021
Референции: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25) |
Момичета, 2021
Референции: | Institute for Health Metrics and Evaluation (IHME). GBD Compare Data Visualization. Global Burden of Disease (GBD) Study 2021. Seattle, WA: IHME, University of Washington, 2023. Available from http://vizhub.healthdata.org/gbd-compare. (Last accessed 23.04.25) |
Преобладаване на диабета
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? | Absent |
Tax on unhealthy foods? | Absent |
Tax on unhealthy drinks? | Absent |
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? | Absent |
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)? | Absent |
Key
Last updated September 13, 2022
Download contextual factors as a PDF Contextual factors definitions