社会经济和环境因素与泰国慢性阻塞性肺病发病率的急性加重有关。

IF 1 4区 医学 Q4 HEALTH CARE SCIENCES & SERVICES
Phuricha Phacharathonphakul, Kittipong Sornlorm
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引用次数: 0

摘要

慢性阻塞性肺疾病(COPD)是一个重大的全球健康问题,在世界范围内导致高发病率和死亡率。在泰国,有300多万慢性阻塞性肺病患者,有100多万患者因该疾病的症状而住院。本研究探讨了影响泰国慢性阻塞性肺病患者急性加重发生率的因素,包括社会经济因素和环境因素之间的空间自相关性。利用Moran’s I、空间关联局部指标(LISA)和空间回归模型,特别是空间滞后模型(SLM)和空间误差模型(SEM)进行空间分析,探讨变量之间的关系。单变量Moran’s I散点图显示,泰国所有77个省份中15岁及以上人群的COPD发病率具有显著的正空间自相关(0.606)。在北部和南部地区观察到高-高(HH)集群,而在北部和东北部地区观察到低-低(LL)集群。双变量Moran's I表明泰国COPD急性加重与各种因素之间存在空间自相关。LISA分析显示,与平均收入相关的有4个HH集群和5个LL集群,吸烟人群较多的地区有12个HH集群和8个LL集群,工业工厂活动地区有5个HH集群和8个LL集群,与森林地区相关的有11个HH集群和9个LL集群,与平均稻田相关的有6个LL集群。基于赤池信息准则(AIC)。SLM的表现优于SEM,但只是稍微好一点,其AIC值为1014.29,而非1019.56,拉格朗日乘数值为p
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Socio-economic and environmental factors are related to acute exacerbation of chronic obstructive pulmonary disease incidence in Thailand.

Chronic Obstructive Pulmonary Disease (COPD) is a significant global health issue, leading to high rates of sickness and death worldwide. In Thailand, there are over 3 million patients with the COPD, with more than a million patients admitted to hospitals due to symptoms of the disease. This study investigated factors influencing the incidence of acute exacerbations among COPD patients in Thailand, including the spatial autocorrelation between socioeconomic and environmental factors. We conducted a spatial analysis using Moran's I, Local Indicators Of Spatial Association (LISA), and spatial regression models, specifically the Spatial Lag Model (SLM) and the Spatial Error Model (SEM), to explore the relationships between the variables. The univariate Moran's I scatter plots showed a significant positive spatial autocorrelation of 0.606 in the incidence rate of COPD among individuals aged 15 years and older across all 77 provinces in Thailand. High-High (HH) clusters for the COPD were observed in the northern and southern regions, while Low-Low (LL) clusters were observed in the northern and north-eastern regions. Bivariate Moran's I indicated a spatial autocorrelation between various factors and acute exacerbation of COPD in Thailand. LISA analysis revealed 4 HH clusters and 5 LL clusters related to average income, 12 HH and 8 LL clusters in areas where many people smoke, 5 HH and 8 LL clusters in areas with industrial factory activities, 11 HH and 9 LL clusters associated with forested areas, and 6 LL clusters associated with the average rice field. Based on the Akaike information criterion (AIC). The SLM outperformed the SEM but only slightly so, with an AIC value of 1014.29 compared to 1019.56 and a Lagrange multiplier value of p<0.001. However, it did explain approximately 63.9% of the incidence of acute exacerbations of COPD, with a coefficient of determination (R² = 0.6394) along with a Rho (ρ) of 0.4164. The results revealed that several factors, including income, smoking, industrial surroundings, forested areas and rice fields are associated with increased levels of acute COPD exacerbations.

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来源期刊
Geospatial Health
Geospatial Health 医学-公共卫生、环境卫生与职业卫生
CiteScore
2.40
自引率
11.80%
发文量
48
审稿时长
12 months
期刊介绍: The focus of the journal is on all aspects of the application of geographical information systems, remote sensing, global positioning systems, spatial statistics and other geospatial tools in human and veterinary health. The journal publishes two issues per year.
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