Palestina
- Översikt
- Förekomst av fetma
- Befolkningsfördelningar
- Drivande faktorer
- Komorbiditeter
- Ekonomisk påverkan
- Policyer (endast tillgängliga på engelska)
- Contextual factors
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Nationell fetmarisk *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.Risk vid fetma hos barn *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).
Förekomst av fetma
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Drivande faktorer
Komorbiditeter
Ekonomisk påverkan
Policyer (endast tillgängliga på engelska)
Contextual factors
Förekomst av fetma
Vuxna, 2022
Undersökningstyp: | Uppmätt |
Ålder: | 18-69 |
Urvalsstorlek: | 5503 |
Område som omfattas: | Nationell |
Referenser: | Palestine STEPS Survey 2022 Fact Sheet https://www.pniph.org/images/research/steps/fact-sheet_v3.2-palestine.pdf (Accessed 22.09.23) |
Om inte annat anges avser övervikt ett BMI mellan 25 kg och 29,9 kg/m², fetma avser ett BMI högre än 30 kg/m². |
Kvinnor, 2012
Undersökningstyp: | Uppmätt |
Ålder: | 18-50 |
Urvalsstorlek: | 357 |
Område som omfattas: | Gaza Strip |
Referenser: | Prevalence and predictors of overweight and obesity among women in the Gaza strip-Palestine: a cross-sectional study. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7275345/ (last accessed 06.06.2022) |
Anteckningar: | Study population: mothers aged 18-50 who are not pregnant. |
Om inte annat anges avser övervikt ett BMI mellan 25 kg och 29,9 kg/m², fetma avser ett BMI högre än 30 kg/m². |
Vuxna, 2010-2011
Undersökningstyp: | Uppmätt |
Ålder: | 15-64 |
Urvalsstorlek: | 6957 |
Område som omfattas: | Nationell |
Referenser: | Palestine STEPS Survey 2010-2011, available at https://www.who.int/ncds/surveillance/steps/Palestine_FactSheet_2010-11.pdf (last accessed 19.10.20) |
Om inte annat anges avser övervikt ett BMI mellan 25 kg och 29,9 kg/m², fetma avser ett BMI högre än 30 kg/m². |
Barn, 2017
Undersökningstyp: | Uppmätt |
Ålder: | 6-12 |
Urvalsstorlek: | 1320 |
Område som omfattas: | Regional |
Referenser: | Al-Lahham, S., Jaradat, N., Altamimi, M. et al. Prevalence of underweight, overweight and obesity among Palestinian school-age children and the associated risk factors: a cross sectional study. BMC Pediatr 19, 483 (2019). https://doi.org/10.1186/s12887-019-1842-7 |
Anteckningar: | Region: Nablus |
Cutoffs: | CDC |
Barn, 2015
Undersökningstyp: | Uppmätt |
Ålder: | 5-16 |
Urvalsstorlek: | 1500 |
Område som omfattas: | Nationell |
Referenser: | Massad et al. 2016. Double Burden of Undernutrition and Obesity in Palestinian Schoolchildren:A Cross-Sectional Study. Food and Nutrition Bulletin. 37(2). pp. 144-152. |
Anteckningar: | WHO cut-offs used. |
Cutoffs: | WHO |
Övervikt/fetma efter ålder och utbildning
Kvinnor, 2012
Undersökningstyp: | Uppmätt |
Ålder: | 18-50 |
Urvalsstorlek: | 357 |
Område som omfattas: | Gaza Strip |
Referenser: | Prevalence and predictors of overweight and obesity among women in the Gaza strip-Palestine: a cross-sectional study. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7275345/ (last accessed 06.06.2022) |
Anteckningar: | Study population: mothers aged 18-50 who are not pregnant. |
Om inte annat anges avser övervikt ett BMI mellan 25 kg och 29,9 kg/m², fetma avser ett BMI högre än 30 kg/m². |
Barn, 2017
Undersökningstyp: | Uppmätt |
Ålder: | 6-12 |
Urvalsstorlek: | 1320 |
Område som omfattas: | Nablus |
Referenser: | Prevalence of underweight, overweight and obesity among Palestinian school-age children and the associated risk factors: a cross sectional study. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6902423/ (last accessed 06.06.2022) |
Anteckningar: | Maternal education level |
Cutoffs: | CDC |
Barn, 2017
Undersökningstyp: | Uppmätt |
Ålder: | 6-12 |
Urvalsstorlek: | 1320 |
Område som omfattas: | Nablus |
Referenser: | Prevalence of underweight, overweight and obesity among Palestinian school-age children and the associated risk factors: a cross sectional study. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6902423/ (last accessed 06.06.2022) |
Anteckningar: | Paternal education level |
Cutoffs: | CDC |
Övervikt/fetma efter ålder
Kvinnor, 2012
Undersökningstyp: | Uppmätt |
Urvalsstorlek: | 357 |
Område som omfattas: | Nationell |
Referenser: | El Kishawi, R.R, Soo, K.L, Abed, Y.A, and Wan Muda, W.A.M. 2014. Obesity and overweight: prevalence and associated socio demographic factors among mothers in three different areas in the Gaza Strip-Palestine: a cross-sectional study. BMC Obesity 1(7). DOI: https://doi.org/10.1186/2052-9538-1-7. |
Om inte annat anges avser övervikt ett BMI mellan 25 kg och 29,9 kg/m², fetma avser ett BMI högre än 30 kg/m². |
Kvinnor, 2012
Undersökningstyp: | Uppmätt |
Urvalsstorlek: | 357 |
Område som omfattas: | Gaza Strip |
Referenser: | Prevalence and predictors of overweight and obesity among women in the Gaza strip-Palestine: a cross-sectional study. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7275345/ (last accessed 06.06.2022) |
Anteckningar: | Study population: mothers aged 18-50 who are not pregnant. |
Om inte annat anges avser övervikt ett BMI mellan 25 kg och 29,9 kg/m², fetma avser ett BMI högre än 30 kg/m². |
Övervikt/fetma efter ålder och region
Kvinnor, 2012
Undersökningstyp: | Uppmätt |
Ålder: | 18-50 |
Urvalsstorlek: | 357 |
Område som omfattas: | Nationell |
Referenser: | El Kishawi, R.R, Soo, K.L, Abed, Y.A, and Wan Muda, W.A.M. 2014. Obesity and overweight: prevalence and associated socio demographic factors among mothers in three different areas in the Gaza Strip-Palestine: a cross-sectional study. BMC Obesity 1(7). DOI: https://doi.org/10.1186/2052-9538-1-7. |
Om inte annat anges avser övervikt ett BMI mellan 25 kg och 29,9 kg/m², fetma avser ett BMI högre än 30 kg/m². |
Övervikt/fetma efter ålder och socioekonomisk grupp
Kvinnor, 2012
Undersökningstyp: | Uppmätt |
Ålder: | 18-50 |
Urvalsstorlek: | 357 |
Område som omfattas: | Gaza Strip |
Referenser: | Prevalence and predictors of overweight and obesity among women in the Gaza strip-Palestine: a cross-sectional study. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7275345/ (last accessed 06.06.2022) |
Anteckningar: | Study population: mothers aged 18-50 who are not pregnant. |
Om inte annat anges avser övervikt ett BMI mellan 25 kg och 29,9 kg/m², fetma avser ett BMI högre än 30 kg/m². |
Genomsnittligt dagligt intag av kolsyrad läskedryck
Barn, 2009-2015
Undersökningstyp: | Uppmätt |
Ålder: | 12-17 |
Referenser: | 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
Vuxna, 2017
Undersökningstyp: | Uppmätt |
Ålder: | 25+ |
Referenser: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
Definitioner (endast tillgängliga på engelska): | Estimated per-capita fruit intake (g/day) |
Förekomst av mindre än daglig fruktkonsumtion
Barn, 2008-2015
Undersökningstyp: | Uppmätt |
Ålder: | 12-17 |
Referenser: | 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 |
Definitioner (endast tillgängliga på engelska): | Prevalence of less-than-daily fruit consumption (% less-than-daily fruit consumption) |
Förekomst av mindre än daglig konsumtion av grönsaker
Barn, 2008-2015
Undersökningstyp: | Uppmätt |
Ålder: | 12-17 |
Referenser: | 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 |
Definitioner (endast tillgängliga på engelska): | Prevalence of less-than-daily vegetable consumption (% less-than-daily vegetable consumption) |
Genomsnittligt veckovist intag av snabbmat
Barn, 2009-2015
Ålder: | 12-17 |
Referenser: | 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 |
Uppskattat intag av kött per capita
Vuxna, 2017
Undersökningstyp: | Uppmätt |
Ålder: | 25+ |
Referenser: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
Definitioner (endast tillgängliga på engelska): | Estimated per-capita processed meat intake (g per day) |
Estimated per capita whole grains intake
Vuxna, 2017
Undersökningstyp: | Uppmätt |
Ålder: | 25+ |
Referenser: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
Definitioner (endast tillgängliga på engelska): | Estimated per-capita whole grains intake (g/day) |
Förekomst av diabetes
Vuxna, 2019
Ålder: | 20-79 |
Referenser: | Reproduced with kind permission International Diabetes Federation. IDF Diabetes Atlas, 9th edn. Brussels,Belgium: 2019. Available at: https://www.diabetesatlas.org |
Definitioner (endast tillgängliga på engelska): | 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? | 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? | Present |
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? | Present |
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? | Unknown |
Monitoring and surveillance
Monitoring of the prevalence and incidence for the main obesity-related NCDs and risk factors? | Present |
Within 5 years? | Absent |
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