Das Priya, Saha Subhadeep, Das Tanu, Das Partha, Roy Tamal Basu
Department of Geography, Raiganj University, Uttar Dinajpur, West Bengal, India.
PLoS One. 2025 Mar 18;20(3):e0319580. doi: 10.1371/journal.pone.0319580. eCollection 2025.
Obesity creates several health complications among the urban women from reproductive age group. So far it is most ignored public health concern particularly in Indian context. The study aims to focus on the identification of cluster of districts with obese urban women and its spatial association with selected spatial determining explanatory factors.This study utilized secondary data obtained from the fifth round of the National Family Health Survey (NFHS-5), 2019-2021.The study performed spatial cluster of districts through univariate Moran's I and its association with selected determining factors through bivariate Local Indicator of Spatial Association (BiLISA). Geographically Weighted Regression (GWR) was applied to measure the magnitude of independent factors over the space affecting the prevalence of outome of urban obese women.The spatial autocorrelation value of obesity among the urban women was found 0.429, depicting the moderate concentration of obesity coverage among the urban women over the districts of India. The results of bivariate LISA revealed that the highest bivariate Moran' I value among all the predictors were identified for those women who had caesarean delivery (I = 0.274), followed by non-poor population (I = 0.208). The adjusted R2 value evidenced by the GWR model was 0.727 indicated that the employed explanatory variables was explaining about 73% for making influence on the prevalence of obesity among urban women of reproductive age group across the districts of India. This study recommends for an urgent need of interventions of the target areas focusing predominantly the urban women belonging from higher socio-economic status.
肥胖在育龄期城市女性中引发了多种健康并发症。到目前为止，它是最被忽视的公共卫生问题，尤其是在印度的背景下。该研究旨在聚焦于识别肥胖城市女性聚集的地区集群及其与选定的空间决定解释因素的空间关联。本研究利用了从2019 - 2021年第五轮全国家庭健康调查（NFHS - 5）获得的二手数据。该研究通过单变量莫兰指数进行地区的空间聚类，并通过双变量空间自相关局部指标（BiLISA）分析其与选定决定因素的关联。应用地理加权回归（GWR）来衡量影响城市肥胖女性结果患病率的独立因素在空间上的影响程度。城市女性肥胖的空间自相关值为0.429，表明印度各地区城市女性肥胖覆盖存在中度集中情况。双变量LISA的结果显示，在所有预测因素中，剖宫产女性的双变量莫兰指数值最高（I = 0.274），其次是非贫困人口（I = 0.208）。GWR模型得出的调整后R²值为0.727，表明所采用的解释变量对印度各地区育龄期城市女性肥胖患病率的影响约为73%。本研究建议迫切需要对目标地区进行干预，主要针对社会经济地位较高的城市女性。
