Is environment destiny? Spatial analysis of the relationship between geographic factors and obesity in Türkiye
Özet
This study aims to evaluate the relationship of geographical factors, including precipitation, slope, air pollution and elevation with adult obesity prevalence in Türkiye (TR) using a cross-regional study design. Ordinary least squares (OLS) and geographically weighted regression (GWR) were performed to evaluate the spatial variation in the relationship between all geographic factors and obesity prevalence. In the model, a positive relationship was found between obesity prevalence and slope, whereas a negative significant relationship was determined between obesity prevalence and elevation (p < 0.05). These results, revealing spatially varying associations, were very useful in refining the interpretations of the statistical results on adult obesity. This research suggests that geographical factors should be considered as one of the components of the obesogenic environment. In addition, it is recommended that national and international strategies to overcome obesity should be restructured by taking into account the geographical characteristics of the region.
Anahtar Kelimeler
Tam Kayıt
| Alan | Değer | Dil |
|---|---|---|
| dc.contributor.author | Yılmaz, Hacı Ömer | |
| dc.contributor.author | Günen, Mehmet Akif | |
| dc.date.accessioned | 2026-10-22T10:19:32.648026625Z | |
| dc.date.available | 2026-10-22T10:19:32.648026625Z | |
| dc.date.issued | 2024 | |
| dc.description.abstract | This study aims to evaluate the relationship of geographical factors, including precipitation, slope, air pollution and elevation with adult obesity prevalence in Türkiye (TR) using a cross-regional study design. Ordinary least squares (OLS) and geographically weighted regression (GWR) were performed to evaluate the spatial variation in the relationship between all geographic factors and obesity prevalence. In the model, a positive relationship was found between obesity prevalence and slope, whereas a negative significant relationship was determined between obesity prevalence and elevation (p < 0.05). These results, revealing spatially varying associations, were very useful in refining the interpretations of the statistical results on adult obesity. This research suggests that geographical factors should be considered as one of the components of the obesogenic environment. In addition, it is recommended that national and international strategies to overcome obesity should be restructured by taking into account the geographical characteristics of the region. | |
| dc.identifier.doi | 10.1080/09603123.2023.2248016 | |
| dc.identifier.eissn | 1369-1619 | |
| dc.identifier.endpage | 1859 | |
| dc.identifier.issn | 0960-3123 | |
| dc.identifier.issue | 3 | |
| dc.identifier.pmid | 37589469 | |
| dc.identifier.scopus | 2-s2.0-85168088542 | |
| dc.identifier.startpage | 1847 | |
| dc.identifier.uri | https://rdlopen.rawdatalibrary.net/r/gumushane/11966 | |
| dc.identifier.volume | 34 | |
| dc.identifier.wos | WOS:001049128000001 | |
| dc.language.iso | en | |
| dc.publisher | Taylor and Francis Ltd. | |
| dc.relation.ispartof | International Journal of Environmental Health Research | |
| dc.rights | info:eu-repo/semantics/closedAccess | |
| dc.subject | geographically weighted regression | |
| dc.subject | Obesity | |
| dc.subject | obesogenic environment | |
| dc.subject | ordinary least square | |
| dc.subject.classification | Environmental Sciences | |
| dc.subject.classification | Public, Environmental & Occupational Health | |
| dc.subject.classification | Environmental Sciences & Ecology | |
| dc.subject.other | Geography | |
| dc.subject.other | Humans | |
| dc.subject.other | Obesity | |
| dc.subject.other | Spatial Analysis | |
| dc.subject.other | Spatial Regression | |
| dc.subject.other | Turkey | |
| dc.subject.other | adult | |
| dc.subject.other | air quality | |
| dc.subject.other | atmospheric pollution | |
| dc.subject.other | geographical characteristics | |
| dc.subject.other | regression analysis | |
| dc.subject.other | spatial variation | |
| dc.subject.other | air pollution | |
| dc.subject.other | Article | |
| dc.subject.other | autocorrelation | |
| dc.subject.other | body mass | |
| dc.subject.other | environmental factor | |
| dc.subject.other | environmental impact assessment | |
| dc.subject.other | female | |
| dc.subject.other | geographic distribution | |
| dc.subject.other | geographic information system | |
| dc.subject.other | geographically weighted regression | |
| dc.subject.other | human | |
| dc.subject.other | least square analysis | |
| dc.subject.other | major clinical study | |
| dc.subject.other | male | |
| dc.subject.other | medical research | |
| dc.subject.other | obesogenic environment | |
| dc.subject.other | physical activity | |
| dc.subject.other | precipitation | |
| dc.subject.other | Turkey (republic) | |
| dc.subject.other | turkey (bird) | |
| dc.title | Is environment destiny? Spatial analysis of the relationship between geographic factors and obesity in Türkiye | |
| dc.type | Article | |
| dspace.entity.type | Publication | |
| rdl.citation.openalex | 5 | |
| rdl.citation.scopus | 4 | |
| rdl.citation.wos | 4 | |
| rdl.department | Faculty of Health Sciences, Department of Nutrition and Dietetics, Gümüşhane University, Gümüşhane, Türkiye | |
| rdl.department | Department of Geomatics Engineering, Gümüşhane University, Gümüşhane, Türkiye | |
| rdl.oa.status | closed | |
| rdl.sdg | SDG03 | |
| rdl.source.index | SCOPUS | |
| rdl.source.index | WOS | |
| rdl.source.index | PUBMED | |
| rdl.wos.index | Science Citation Index Expanded (SCI-EXPANDED) |

