Tokelau-szigetek
- Áttekintés
- Az elhízás előfordulása
- A népesség bontása
- Befolyásoló tényezők
- Komorbiditások
- Contextual factors
Az adatok betöltése folyamatban van, türelmét kérjük
Az elhízás kockázata nemzeti szinten *8/10This 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.A gyermekkori elhízás kockázata *6/11This 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).
Report cards
Our report cards collate all the most-recent graphics for this country. If you would like to produce a custom report based on selected graphics, just tap the Add to custom PDF button below the graphics you would like to use.
A népesség bontása
Befolyásoló tényezők
Komorbiditások
Contextual factors
Az elhízás előfordulása
Felnőttek, 2005
| Felmérés típusa: | Mért |
| Életkor: | 15-64 |
| Minta nagysága: | 586 |
| Érintett terület: | Országos |
| Referenciák: | STEPS Survey Tokelau 2005, available at https://extranet.who.int/ncdsmicrodata/index.php/catalog/683 (last accessed 16.10.20)-- |
| Hacsak másként nem jelezzük, a túlsúly 25 kg és 29,9 kg/m² közötti BMI-re, az elhízás 30 kg/m²-nél nagyobb BMI-re utal.. | |
Double burden of underweight & overweight
Felnőttek, 2022
| Felmérés típusa: | Mért |
| Életkor: | 20+ |
| Referenciák: | 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. |
| Jegyzetek: | Age Standardised estimates |
| Definíciók (csak angol nyelven érhetők el): | Combined prevalence of BMI<18.5 kg/m² and BMI>=30 kg/m² (double burden of underweight and obesity) |
Gyermekek, 2022
| Felmérés típusa: | Mért |
| Életkor: | 5-19 |
| Referenciák: | 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. |
| Jegyzetek: | Age standardised estimates |
| Definíciók (csak angol nyelven érhetők el): | Combined prevalence of BMI < -2SD and BMI > 2SD (double burden of thinness and obesity) |
| Cutoffs: | BMI < -2SD and BMI > 2SD |
A napi egynél ritkábban történő gyümölcsfogyasztás előfordulása
Gyermekek, 2014
| Felmérés típusa: | Mért |
| Életkor: | 12-17 |
| Referenciák: | 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 |
| Definíciók (csak angol nyelven érhetők el): | Prevalence of less-than-daily fruit consumption (% less-than-daily fruit consumption) |
A napi egynél ritkábban történő zöldségfogyasztás előfordulása
Gyermekek, 2014
| Felmérés típusa: | Mért |
| Életkor: | 12-17 |
| Referenciák: | 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 |
| Definíciók (csak angol nyelven érhetők el): | Prevalence of less-than-daily vegetable consumption (% less-than-daily vegetable consumption) |
Mentális egészség – depressziós zavarok
Felnőttek, 2021
| Életkor: | 20+ |
| Érintett terület: | Országos |
| Referenciák: | 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) |
| Definíciók (csak angol nyelven érhetők el): | Number living with depression per 100,000 population (adults 20+ years) |
Férfiak, 2021
| Életkor: | 20+ |
| Érintett terület: | Országos |
| Referenciák: | 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) |
| Definíciók (csak angol nyelven érhetők el): | Number living with depression per 100,000 population (adults 20+ years) |
Nők, 2021
| Életkor: | 20+ |
| Érintett terület: | Országos |
| Referenciák: | 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) |
| Definíciók (csak angol nyelven érhetők el): | Number living with depression per 100,000 population (adults 20+ years) |
Gyermekek, 2021
| Érintett terület: | Országos |
| Referenciák: | 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) |
| Definíciók (csak angol nyelven érhetők el): | Number living with depressive disorder per 100,000 population (Under 20 years of age) |
Fiúk, 2021
| Érintett terület: | Országos |
| Referenciák: | 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) |
| Definíciók (csak angol nyelven érhetők el): | Number living with depressive disorder per 100,000 population (Under 20 years of age) |
Lányok, 2021
| Érintett terület: | Országos |
| Referenciák: | 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) |
| Definíciók (csak angol nyelven érhetők el): | Number living with depressive disorder per 100,000 population (Under 20 years of age) |
Mentális egészség – szorongásos zavarok
Felnőttek, 2021
| Életkor: | 20+ |
| Referenciák: | 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). |
| Definíciók (csak angol nyelven érhetők el): | Number living with anxiety per 100,000 population |
Férfiak, 2021
| Életkor: | 20+ |
| Referenciák: | 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). |
| Definíciók (csak angol nyelven érhetők el): | Number living with anxiety per 100,000 population |
Nők, 2021
| Életkor: | 20+ |
| Referenciák: | 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). |
| Definíciók (csak angol nyelven érhetők el): | Number living with anxiety per 100,000 population |
Gyermekek, 2021
| Referenciák: | 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) |
Fiúk, 2021
| Referenciák: | 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) |
Lányok, 2021
| Referenciák: | 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) |
Cukorbetegség előfordulási aránya
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
Present
Present (voluntary)
Incoming
Absent
Unknown
Last updated September 13, 2022
Download contextual factors as a PDF Contextual factors definitions
