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2023: Two-year Impact Factor: 2.4
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CiteScore (2023):7.1
 
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Health Promot Perspect. 2018;8(3): 187-194. doi: 10.15171/hpp.2018.25
PMID: 30087841        PMCID: PMC6064748

Original Article

Socio-demographic determinants of obesity indexes in Iran:findings from a nationwide STEPS survey

Ali-Asghar Kolahi 1 * , Alireza Moghisi 2, Yalda Soleiman Ekhtiari 1

Cited by CrossRef: 24


1- Nemes-Nagy E, Preg Z, Nyulas K, Pál T, Pál S, Tilinca M, Germán-Salló M. Relationship between obesity and psychosocial risk factors in hypertensive patients. 2021;67(4):210 [Crossref]
2- Hsu P, Wu C, Yang Y, Wei J. Effect of Intragastric Botulinum Type A Injection Combined with a Low-Calorie High-Protein Diet in Adults with Overweight or Obesity. JCM. 2022;11(12):3325 [Crossref]
3- Nouri M, Shateri Z, Faghih S. The relationship between intake of fruits, vegetables and dairy products with overweight and obesity in a large sample in Iran: Findings of STEPS 2016. Front Nutr. 2023;9 [Crossref]
4- Laouani A, Nasrallah H, Sassi A, Ferdousi F, Kalai F, Hasni Y, Isoda H, Saguem S. Antiobesity and Hypolipidemic Potential of Nitraria retusa Extract in Overweight/Obese Women: A Randomized, Double-Blind, Placebo-Controlled Pilot Study. Nutrients. 2024;16(2):317 [Crossref]
5- Hosseini S, Aghamohammadi V, Ashtary-Larky D, Alipour M, Ghanavati M, Lamuchi-Deli N. Are young Iranian women with metabolically healthy obesity at increased risk of CVD incidence?. J vasc bras. 2020;19 [Crossref]
6- Mirzaei M, Mirzaei M, Sarsangi A, Bagheri N. Prevalence of modifiable cardiovascular risk factors in Yazd inner-city municipalities. BMC Public Health. 2020;20(1) [Crossref]
7- Feizizadeh B, Lakes T, Omarzadeh D, Pourmoradian S. Health effects of shrinking hyper-saline lakes: spatiotemporal modeling of the Lake Urmia drought on the local population, case study of the Shabestar County. Sci Rep. 2023;13(1) [Crossref]
8- Najafi F, Soltani S, Karami Matin B, Kazemi Karyani A, Rezaei S, Soofi M, Salimi Y, Moradinazar M, Hajizadeh M, Barzegar L, Pasdar Y, Hamzeh B, Haghdoost A, Malekzadeh R, Poustchi H, Eghtesad S, Nejatizadeh A, Moosazadeh M, Zare Sakhvidi M, Joukar F, Hashemi-Shahri S, Vakilian A, Niknam R, Faramarzi E, Akhavan Akbari G, Ghorat F, Khaledifar A, Vahabzadeh D, Homayounfar R, Safarpour A, Hosseini S, Rezvani R, Hosseini S. Socioeconomic - related inequalities in overweight and obesity: findings from the PERSIAN cohort study. BMC Public Health. 2020;20(1) [Crossref]
9- Freuer D, Meisinger C, Linseisen J. Causal relationship between dietary macronutrient composition and anthropometric measures: A bidirectional two-sample Mendelian randomization analysis. Clinical Nutrition. 2021;40(6):4120 [Crossref]
10- Jahromi A, Rahmanian K. Relation of health-related quality of life with abnormal weight: A cross-sectional study prior to the weight reduction intervention. J Family Med Prim Care. 2020;9(9):4662 [Crossref]
11- Khater T, Tawfik H, Singh B. Explainable artificial intelligence for investigating the effect of lifestyle factors on obesity. Intelligent Systems with Applications. 2024;23:200427 [Crossref]
12- Palladini G, Di Pasqua L, Cagna M, Croce A, Perlini S, Mannucci B, Profumo A, Ferrigno A, Vairetti M. MCD Diet Rat Model Induces Alterations in Zinc and Iron during NAFLD Progression from Steatosis to Steatohepatitis. IJMS. 2022;23(12):6817 [Crossref]
13- de Medeiros J, Silva‐Neto L, dos Santos T, dos Santos Neto J, de Menezes Toledo Florêncio T. Higher consumption of ultra‐processed foods is associated with obesity and abdominal obesity in socially vulnerable Brazilian women. Nutrition Bulletin. 2024;49(2):199 [Crossref]
14- Mohammadi‐Nasrabadi F, Salmani Y, Banihashemi S, Haghighian Roudsari A, Zargaraan A, Esfarjani F. Policy challenges of food advertisements from the viewpoints of Stakeholders: A qualitative study. Food Science & Nutrition. 2020;8(4):1949 [Crossref]
15- Abiri B, Ahmadi A, Amini S, Akbari M, Hosseinpanah F, Madinehzad S, Hejazi M, Rishehri A, Naserghandi A, Valizadeh M. Prevalence of overweight and obesity among Iranian population: a systematic review and meta-analysis. J Health Popul Nutr. 2023;42(1) [Crossref]
16- Septiyanti S, Seniwati S. Obesity and Central Obesity in Indonesian Urban Communities. JIKA. 2020;2(3):118 [Crossref]
17- Dodangeh M, Dodangeh M. Metabolic regulation and the anti-obesity perspectives of brown adipose tissue (BAT); a systematic review. Obesity Medicine. 2020;17:100163 [Crossref]
18- Madero-Cabib I, Azar A, Pérez-Cruz P. Advantages and disadvantages across the life course and health status in old age among women in Chile. Int J Public Health. 2019;64(8):1203 [Crossref]
19- Shahid S, Bishop K. Comprehensive Approaches to Improving Nutrition: Future Prospects. Nutrients. 2019;11(8):1760 [Crossref]
20- Puciato D, Rozpara M. Demographic and Socioeconomic Determinants of Body Mass Index in People of Working Age. IJERPH. 2020;17(21):8168 [Crossref]
21- Mohamed A, Humaida A, Qureshi A. Delayed Post-Laparoscopic Sleeve Gastrectomy Leak Successfully Treated With Endoscopic Clips and Tissue Adhesive: Case Report and Literature Review. 2021; [Crossref]
22- Bakhtari Aghdam F, Aziz-Zadeh S, Musavi S, Abbasalizad-Farhangi M. Psychometric properties of the Last-7-Day Sedentary Time Questionnaire (SIT-Q-7d): Testing the validity and reliability among general population. BMC Public Health. 2022;22(1) [Crossref]
23- Öksüz M, Göbel P. Obesity, Hypertension, and Kidney Dysfunction: Mechanical Links. CNF. 2023;19(3):282 [Crossref]
24- Wei Y, Chen T, Song H, Wang S, Shen C, Wang X, Li Y, Wang J. Rapidly screening of pancreatic lipase inhibitors from Clematis tangutica using affinity ultrafiltration‐HPLC‐QTOFMS technique combined with targeted separation, in vitro validation, and molecular docking. Phytochemical Analysis. 2024; [Crossref]
25- Mandal S, Kumar B, Sharma P, Murugesan S, Deepa P. In silico and in vitro analysis of PPAR – α / γ dual agonists: Comparative evaluation of potential phytochemicals with anti-obesity drug orlistat. Computers in Biology and Medicine. 2022;147:105796 [Crossref]
26- Amin R, Kolahi A, Sohrabi M. Disparities in Obesity Prevalence in Iranian Adults: Cross-Sectional Study Using Data from the 2016 STEPS Survey. Obes Facts. 2021;14(3):298 [Crossref]
27- Narimani B, Amini M, Sheikhhossein F, Akhgarjand C, Gholizadeh M, Askarpour M, Hekmatdoost A. The effects of purslane consumption on blood pressure, body weight, body mass index, and waist circumference: a systematic review and meta-analysis of randomised controlled. J Nutr Sci. 2023;12 [Crossref]
28- Azizpour Y, Asgari S, Yaseri M, Fotouhi A, Akbarpour S. Indirect estimation of the prevalence of type 2 diabetes mellitus in the sub-population of Tehran: using non-laboratory risk-score models in Iran. BMC Public Health. 2024;24(1) [Crossref]

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2-year Impact Factor: 2.4

SCOPUS CiteScore: 7.1

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