Journal of Kermanshah University of Medical Sciences
Peer-reviewed Medical Quarterly
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Outlines
Policy Interventions for Overweight and Obesity: Insights from the RaNCD Cohort Study in Iran (A Policy Brief)
Footnotes
References
- 1.World Health Organization. Obesity and overweight. Geneva, Switzerland: World Health Organization; 2024. Available from: https://www.who.int/news-room/fact-sheets/detail/obesity-and-overweight.
- 2.Wallis NJ, Sumanasekera NT, Raffan E. Obesity risk factors in British Labrador retrievers: Effect of sex, neuter status, age, chocolate coat colour and food motivation. Vet Rec. 2024;194(6). e3410. [PubMed ID: 37747436]. https://doi.org/10.1002/vetr.3410.
- 3.Motamed N, Zamani F, Maadi M, Ajdarkosh H, Roozafzai F, Keyvani H, et al. A population-based prospective study on obesity-related non-communicable diseases in northern Iran: rationale, study design, and baseline analysis. Front Endocrinol (Lausanne). 2024;15:1329380. [PubMed ID: 38681770]. [PubMed Central ID: PMC11046460]. https://doi.org/10.3389/fendo.2024.1329380.
- 4.Darbandi M, Najafi F, Pasdar Y, Mostafaei S, Rezaeian S. Factors associated with overweight and obesity in adults using structural equation model: mediation effect of physical activity and dietary pattern. Eat Weight Disord. 2020;25(6):1561-71. [PubMed ID: 31650388]. https://doi.org/10.1007/s40519-019-00793-7.
- 5.Darbandi M, Rezaeian S, Najafi F, Shadmani FK, Ghavi S, Miryan M, et al. A Comprehensive Evaluation of Occupational Epidemiology in Western Iran: A Cohort Study in Ravansar Noncommunicable Diseases. J Occup Environ Med. 2023;65(9):e610-8. [PubMed ID: 37367639]. https://doi.org/10.1097/JOM.0000000000002916.
- 6.Darbandi M, Najafi F, Pasdar Y, Rezaeian S. Structural equation model analysis for the evaluation of factors associated with overweight and obesity in menopausal women in RaNCD cohort study. Menopause. 2020;27(2):208-15. [PubMed ID: 31895176]. https://doi.org/10.1097/GME.0000000000001452.
- 7.Hamzeh B, Bagheri A, Pasdar Y, Darbandi M, Rezaeian S, Najafi F, et al. Predicting metabolic syndrome by anthropometric measures among adults 35-65 years in the west of Iran; a cross sectional study from an Iranian RaNCD cohort data. Diabetes Metab Syndr. 2020;14(5):1293-8. [PubMed ID: 32755824]. https://doi.org/10.1016/j.dsx.2020.07.017.
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