Comparison of the factors that influence obesity prevalence in three district municipalities of the same city with different socioeconomical status: a survey analysis in an urban Turkish population
dc.contributor.buuauthor | Ersoy, Canan | |
dc.contributor.buuauthor | İmamoğlu, Sazi | |
dc.contributor.buuauthor | Tuncel, Ercan | |
dc.contributor.buuauthor | Ertürk, Erdinç | |
dc.contributor.buuauthor | Ercan, İlker | |
dc.contributor.department | Uludağ Üniversitesi/Tıp Fakültesi/Mikrobiyoloji ve Enfeksiyon Hastalıkları Anabilim Dalı/İmmünoloji Birimi. | tr_TR |
dc.contributor.orcid | 0000-0002-2382-290X | tr_TR |
dc.contributor.researcherid | AAH-8861-2021 | tr_TR |
dc.date.accessioned | 2021-08-23T12:21:44Z | |
dc.date.available | 2021-08-23T12:21:44Z | |
dc.date.issued | 2005-02 | |
dc.description.abstract | Background. To evaluate the obesity status, factors and comorbidities related to it in three district municipalities (DM) that compose city center of Bursa with inhabitants of different socioeconomic status. Methods. A total of 1632 inhabitants greater than or equal to 18 years of age were interviewed. The number of sample in each DM was obtained proportional to their populations by stratified sampling method. Among 1632, a total of 1543 subjects were included by random sampling and a questionnaire was filled in including demographic, social and behavioral features. Results. The participants living in DM with the highest socioeconomical status (SES) score and level of education had the lowest body mass index (BMI) and body fat percentage (%BF) compared to other DMs. The lowest obesity prevalence (30.8% vs. 36.4% and 39.3%) in that DM was possibly due to younger age, lower female ratio, more active professional, higher percentage of smoking, more consumption of vegetables, olive or corn oil, and less carbohydrate. For the evaluation of the factors that may influence obesity risk, we investigated the effects of these factors in men and women separately with logistic regression model. Sedentary life style and dyslipidemia (DL) in men, being unemployed, having lower level of education and having hypertension (HT) in women and familial obesity in both gender were found to be related to increased obesity risk. Conclusions. The prevalence of obesity in Bursa is increasing although inhabitants are taking some precautions parallel to their socioeconomical and educational levels. Obesity is becoming a more alarming public health problem in Bursa and Turkey like in most other parts of the world, which forces us to invent new prevention policies. Besides, the results of our study highlight the fact that especially female education requires more attention for decreasing obesity prevalence in coming generations. | en_US |
dc.identifier.citation | Ersoy, C. vd. (2005). "Comparison of the factors that influence obesity prevalence in three district municipalities of the same city with different socioeconomical status: a survey analysis in an urban Turkish population". Preventive Medicine, 40(2), 181-188. | en_US |
dc.identifier.endpage | 188 | tr_TR |
dc.identifier.issn | 0091-7435 | |
dc.identifier.issue | 2 | tr_TR |
dc.identifier.pubmed | 15533527 | tr_TR |
dc.identifier.scopus | 2-s2.0-7944237677 | tr_TR |
dc.identifier.startpage | 181 | tr_TR |
dc.identifier.uri | https://doi.org/10.1016/j.ypmed.2004.05.018 | |
dc.identifier.uri | https://www.sciencedirect.com/science/article/pii/S0091743504002877 | |
dc.identifier.uri | http://hdl.handle.net/11452/21532 | |
dc.identifier.volume | 40 | tr_TR |
dc.identifier.wos | 000225627100008 | tr_TR |
dc.indexed.pubmed | Pubmed | en_US |
dc.indexed.scopus | Scopus | en_US |
dc.indexed.wos | SCIE | en_US |
dc.language.iso | en | en_US |
dc.publisher | Academic Press Inc Elsevier Science | en_US |
dc.relation.journal | Preventive Medicine | tr_TR |
dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi | tr_TR |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.subject | Obesity | en_US |
dc.subject | Urbanization | en_US |
dc.subject | District municipalities | en_US |
dc.subject | Socioeconomic status | en_US |
dc.subject | Life style | en_US |
dc.subject | Disease risk-factors | en_US |
dc.subject | Hypertension | en_US |
dc.subject | Body-mass index | en_US |
dc.subject | Cardiovascular-disease | en_US |
dc.subject | Follow-up | en_US |
dc.subject | Nutrition transition | en_US |
dc.subject | United-States | en_US |
dc.subject | Weight change | en_US |
dc.subject | Smoking | en_US |
dc.subject | Fat | en_US |
dc.subject | Public, environmental & occupational health | en_US |
dc.subject | General & internal medicine | en_US |
dc.subject.scopus | Inhaler; Family Health; Alveoli | en_US |
dc.subject.wos | Public, environmental & occupational health | en_US |
dc.subject.wos | Medicine, general & internal | en_US |
dc.title | Comparison of the factors that influence obesity prevalence in three district municipalities of the same city with different socioeconomical status: a survey analysis in an urban Turkish population | en_US |
dc.type | Article | |
dc.wos.quartile | Q2 (Public, environmental & occupational health) | en_US |
dc.wos.quartile | Q1 (Medicine, general & internal) | en_US |
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