Spatial association of socio-demographic, environmental factors and prevalence of diabetes mellitus in middle-aged and elderly people in Thailand
The burden of diabetes mellitus (DM), one of the major noncommunicable diseases (NCDs), has been significantly rising globally. In the Asia-Pacific region, Thailand ranks within the top ten of diabetic patient populations and the disease has increased from 2.3% in 1991 to 8.0% in 2015. This study a...
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| Format: | Article |
| Language: | English |
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PAGEPress Publications
2022-11-01
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| Series: | Geospatial Health |
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| Online Access: | https://geospatialhealth.net/index.php/gh/article/view/1091 |
| _version_ | 1811320908022808576 |
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| author | Suparat Tappo Wongsa Laohasiriwong Nattapong Puttanapong |
| author_facet | Suparat Tappo Wongsa Laohasiriwong Nattapong Puttanapong |
| author_sort | Suparat Tappo |
| collection | DOAJ |
| description |
The burden of diabetes mellitus (DM), one of the major noncommunicable diseases (NCDs), has been significantly rising globally. In the Asia-Pacific region, Thailand ranks within the top ten of diabetic patient populations and the disease has increased from 2.3% in 1991 to 8.0% in 2015. This study applied local indicators of spatial association (LISA) and spatial regression to examine the local associations in Thailand with night-time light, spatial density of alcohol/convenience stores, concentration of elderly population and prevalence of DM among middle-aged and elderly people. Univariate LISA identified the statistically significant cluster of DM prevalence in the upper north-eastern region. For multivariate spatial analysis, the obtained R2 values of the spatial lag model (SLM) and spatial error model (SEM) were 0.310 and 0.316, respectively. These two models indicated a statistical significant association of several sociodemographic and environmental characteristics with the DM prevalence: food shops (SLM coefficient = 9.625, p<0.001; SEM coefficient = 9.695, p<0.001), alcohol stores (SLM coefficient = 1.936, p<0.05; SEM coefficient = 1.894, p<0.05), population density of elderly people (SLM coefficient = 0.156, p<0.05; SEM coefficient = 0.188, p<0.05) and night-time light density (SLM coefficient = -0.437, p<0.001; SEM coefficient = -0.437, p<0.001). These findings are useful for policymakers and public health professionals in formulating measures aimed at reducing DM burden in the country.
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| first_indexed | 2024-04-13T13:08:46Z |
| format | Article |
| id | doaj.art-bd1c5184317a4dc58e5dcac1053321a9 |
| institution | Directory Open Access Journal |
| issn | 1827-1987 1970-7096 |
| language | English |
| last_indexed | 2024-04-13T13:08:46Z |
| publishDate | 2022-11-01 |
| publisher | PAGEPress Publications |
| record_format | Article |
| series | Geospatial Health |
| spelling | doaj.art-bd1c5184317a4dc58e5dcac1053321a92022-12-22T02:45:42ZengPAGEPress PublicationsGeospatial Health1827-19871970-70962022-11-0117210.4081/gh.2022.1091Spatial association of socio-demographic, environmental factors and prevalence of diabetes mellitus in middle-aged and elderly people in ThailandSuparat Tappo0Wongsa Laohasiriwong1Nattapong Puttanapong2Faculty of Public Health, Khon Kaen University, BangkokFaculty of Public Health, Khon Kaen University, BangkokFaculty of Economics, Thammasat University, Bangkok The burden of diabetes mellitus (DM), one of the major noncommunicable diseases (NCDs), has been significantly rising globally. In the Asia-Pacific region, Thailand ranks within the top ten of diabetic patient populations and the disease has increased from 2.3% in 1991 to 8.0% in 2015. This study applied local indicators of spatial association (LISA) and spatial regression to examine the local associations in Thailand with night-time light, spatial density of alcohol/convenience stores, concentration of elderly population and prevalence of DM among middle-aged and elderly people. Univariate LISA identified the statistically significant cluster of DM prevalence in the upper north-eastern region. For multivariate spatial analysis, the obtained R2 values of the spatial lag model (SLM) and spatial error model (SEM) were 0.310 and 0.316, respectively. These two models indicated a statistical significant association of several sociodemographic and environmental characteristics with the DM prevalence: food shops (SLM coefficient = 9.625, p<0.001; SEM coefficient = 9.695, p<0.001), alcohol stores (SLM coefficient = 1.936, p<0.05; SEM coefficient = 1.894, p<0.05), population density of elderly people (SLM coefficient = 0.156, p<0.05; SEM coefficient = 0.188, p<0.05) and night-time light density (SLM coefficient = -0.437, p<0.001; SEM coefficient = -0.437, p<0.001). These findings are useful for policymakers and public health professionals in formulating measures aimed at reducing DM burden in the country. https://geospatialhealth.net/index.php/gh/article/view/1091night-time lightOpenStreetMapdiabetes mellitusThailand |
| spellingShingle | Suparat Tappo Wongsa Laohasiriwong Nattapong Puttanapong Spatial association of socio-demographic, environmental factors and prevalence of diabetes mellitus in middle-aged and elderly people in Thailand Geospatial Health night-time light OpenStreetMap diabetes mellitus Thailand |
| title | Spatial association of socio-demographic, environmental factors and prevalence of diabetes mellitus in middle-aged and elderly people in Thailand |
| title_full | Spatial association of socio-demographic, environmental factors and prevalence of diabetes mellitus in middle-aged and elderly people in Thailand |
| title_fullStr | Spatial association of socio-demographic, environmental factors and prevalence of diabetes mellitus in middle-aged and elderly people in Thailand |
| title_full_unstemmed | Spatial association of socio-demographic, environmental factors and prevalence of diabetes mellitus in middle-aged and elderly people in Thailand |
| title_short | Spatial association of socio-demographic, environmental factors and prevalence of diabetes mellitus in middle-aged and elderly people in Thailand |
| title_sort | spatial association of socio demographic environmental factors and prevalence of diabetes mellitus in middle aged and elderly people in thailand |
| topic | night-time light OpenStreetMap diabetes mellitus Thailand |
| url | https://geospatialhealth.net/index.php/gh/article/view/1091 |
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