Palæstina
- Oversigt
- Fedmeprævalens
- Befolkningsfordeling
- Chauffører
- Komorbiditet
- Økonomisk indvirkning
- Politikker
- Contextual factors
Indlæser data – vent venligst
National fedmerisiko *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.Risiko for fedme i barndommen *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).
Fedmeprævalens
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Chauffører
Komorbiditet
Økonomisk indvirkning
Contextual factors
Fedmeprævalens
Voksne, 2022
Undersøgelsestype: | Målt |
Alder: | 18-69 |
Prøvens størrelse: | 5503 |
Area covered: | National |
Referencer: | Palestine STEPS Survey 2022 Fact Sheet https://www.pniph.org/images/research/steps/fact-sheet_v3.2-palestine.pdf (Accessed 22.09.23) |
Medmindre andet er angivet, henviser overvægt til en BMI på mellem 25 kg og 29,9 kg/m², fedme henviser til en BMI på mere end 30 kg/m². |
Kvinder, 2012
Undersøgelsestype: | Målt |
Alder: | 18-50 |
Prøvens størrelse: | 357 |
Area covered: | Gaza Strip |
Referencer: | 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) |
Noter (kun tilgængelige på engelsk): | Study population: mothers aged 18-50 who are not pregnant. |
Medmindre andet er angivet, henviser overvægt til en BMI på mellem 25 kg og 29,9 kg/m², fedme henviser til en BMI på mere end 30 kg/m². |
Voksne, 2010-2011
Undersøgelsestype: | Målt |
Alder: | 15-64 |
Prøvens størrelse: | 6957 |
Area covered: | National |
Referencer: | Palestine STEPS Survey 2010-2011, available at https://www.who.int/ncds/surveillance/steps/Palestine_FactSheet_2010-11.pdf (last accessed 19.10.20) |
Medmindre andet er angivet, henviser overvægt til en BMI på mellem 25 kg og 29,9 kg/m², fedme henviser til en BMI på mere end 30 kg/m². |
Børn, 2017
Undersøgelsestype: | Målt |
Alder: | 6-12 |
Prøvens størrelse: | 1320 |
Area covered: | Regional |
Referencer: | 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 |
Noter (kun tilgængelige på engelsk): | Region: Nablus |
Cutoffs: | CDC |
Børn, 2015
Undersøgelsestype: | Målt |
Alder: | 5-16 |
Prøvens størrelse: | 1500 |
Area covered: | National |
Referencer: | 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. |
Noter (kun tilgængelige på engelsk): | WHO cut-offs used. |
Cutoffs: | WHO |
Overvægt/fedme efter uddannelse
Kvinder, 2012
Undersøgelsestype: | Målt |
Alder: | 18-50 |
Prøvens størrelse: | 357 |
Area covered: | Gaza Strip |
Referencer: | 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) |
Noter (kun tilgængelige på engelsk): | Study population: mothers aged 18-50 who are not pregnant. |
Medmindre andet er angivet, henviser overvægt til en BMI på mellem 25 kg og 29,9 kg/m², fedme henviser til en BMI på mere end 30 kg/m². |
Børn, 2017
Undersøgelsestype: | Målt |
Alder: | 6-12 |
Prøvens størrelse: | 1320 |
Area covered: | Nablus |
Referencer: | 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) |
Noter (kun tilgængelige på engelsk): | Maternal education level |
Cutoffs: | CDC |
Børn, 2017
Undersøgelsestype: | Målt |
Alder: | 6-12 |
Prøvens størrelse: | 1320 |
Area covered: | Nablus |
Referencer: | 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) |
Noter (kun tilgængelige på engelsk): | Paternal education level |
Cutoffs: | CDC |
Overvægt/fedme efter alder
Kvinder, 2012
Undersøgelsestype: | Målt |
Prøvens størrelse: | 357 |
Area covered: | National |
Referencer: | 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. |
Medmindre andet er angivet, henviser overvægt til en BMI på mellem 25 kg og 29,9 kg/m², fedme henviser til en BMI på mere end 30 kg/m². |
Kvinder, 2012
Undersøgelsestype: | Målt |
Prøvens størrelse: | 357 |
Area covered: | Gaza Strip |
Referencer: | 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) |
Noter (kun tilgængelige på engelsk): | Study population: mothers aged 18-50 who are not pregnant. |
Medmindre andet er angivet, henviser overvægt til en BMI på mellem 25 kg og 29,9 kg/m², fedme henviser til en BMI på mere end 30 kg/m². |
Overvægt/fedme efter region
Kvinder, 2012
Undersøgelsestype: | Målt |
Alder: | 18-50 |
Prøvens størrelse: | 357 |
Area covered: | National |
Referencer: | 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. |
Medmindre andet er angivet, henviser overvægt til en BMI på mellem 25 kg og 29,9 kg/m², fedme henviser til en BMI på mere end 30 kg/m². |
Overvægt/fedme efter socioøkonomisk gruppe
Kvinder, 2012
Undersøgelsestype: | Målt |
Alder: | 18-50 |
Prøvens størrelse: | 357 |
Area covered: | Gaza Strip |
Referencer: | 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) |
Noter (kun tilgængelige på engelsk): | Study population: mothers aged 18-50 who are not pregnant. |
Medmindre andet er angivet, henviser overvægt til en BMI på mellem 25 kg og 29,9 kg/m², fedme henviser til en BMI på mere end 30 kg/m². |
Gennemsnitlig daglig hyppighed af indtagelse af kulsyreholdige læskedrikke
Børn, 2009-2015
Undersøgelsestype: | Målt |
Alder: | 12-17 |
Referencer: | 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
Voksne, 2017
Undersøgelsestype: | Målt |
Alder: | 25+ |
Referencer: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
Definitioner (kun tilgængelig på engelsk): | Estimated per-capita fruit intake (g/day) |
Forekomst af indtag af frugt mindre end dagligt
Børn, 2008-2015
Undersøgelsestype: | Målt |
Alder: | 12-17 |
Referencer: | 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 (kun tilgængelig på engelsk): | Prevalence of less-than-daily fruit consumption (% less-than-daily fruit consumption) |
Forekomst af indtag af grøntsager mindre end dagligt
Børn, 2008-2015
Undersøgelsestype: | Målt |
Alder: | 12-17 |
Referencer: | 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 (kun tilgængelig på engelsk): | Prevalence of less-than-daily vegetable consumption (% less-than-daily vegetable consumption) |
Gennemsnitlig ugentlig hyppighed af indtagelse af fastfood
Børn, 2009-2015
Alder: | 12-17 |
Referencer: | 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 |
Anslået indtag af forarbejdet kød pr. indbygger
Voksne, 2017
Undersøgelsestype: | Målt |
Alder: | 25+ |
Referencer: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
Definitioner (kun tilgængelig på engelsk): | Estimated per-capita processed meat intake (g per day) |
Estimated per capita whole grains intake
Voksne, 2017
Undersøgelsestype: | Målt |
Alder: | 25+ |
Referencer: | Global Burden of Disease, the Institute for Health Metrics and Evaluation http://ghdx.healthdata.org/ |
Definitioner (kun tilgængelig på engelsk): | Estimated per-capita whole grains intake (g/day) |
Diabetesprævalens
Voksne, 2019
Alder: | 20-79 |
Referencer: | Reproduced with kind permission International Diabetes Federation. IDF Diabetes Atlas, 9th edn. Brussels,Belgium: 2019. Available at: https://www.diabetesatlas.org |
Definitioner (kun tilgængelig på engelsk): | 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