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泰国北部清迈农业地区居民的呼吸健康与慢性病风险

Respiratory health and chronic disease risks in residents of agricultural areas in Chiang Mai, Northern Thailand.

作者信息

Wongta Anurak, Pata Supansa, Chawansuntati Kriangkrai, Yodkeeree Supachai, Hongsibsong Surat, Khamduang Woottichai

机构信息

School of Health Science Research, Research Institute for Health Sciences, Chiang Mai University, Chiang Mai, Thailand.

Research Institute for Health Sciences, Chiang Mai University, Chiang Mai, Thailand.

出版信息

PLoS One. 2025 Apr 4;20(4):e0321471. doi: 10.1371/journal.pone.0321471. eCollection 2025.

DOI:10.1371/journal.pone.0321471
PMID:40184396
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11970700/
Abstract

Respiratory health and chronic disease risks are prevalent concerns in agricultural communities in Northern Thailand, prompting an assessment of these issues among residents in Chiang Mai. A cross-sectional study involving 145 participants was conducted in San Pa Tong District from October to December 2023, utilizing structured questionnaires and spirometry tests to evaluate lung function and chronic health disease risk. The study found that education and income significantly impacted lung function, with better FVC% and FEV1/FVC% predicted values observed in those with primary education and lower income. Lower DM risk was associated with better lung function (P =  0.023). Logistic regression showed a significant increase in lung function impairment among participants with high to very high DM risk (aOR 9.06, p < 0.05). High CV and COPD risk levels also correlated with lung function impairment, though not all results were statistically significant. The results emphasize the intricate interplay between socioeconomic factors, chronic disease risks, and lung function, advocating for public health interventions that holistically address population respiratory and metabolic health.

摘要

呼吸健康和慢性病风险是泰国北部农业社区普遍关注的问题,这促使对清迈居民中的这些问题进行评估。2023年10月至12月在桑帕通区开展了一项涉及145名参与者的横断面研究,利用结构化问卷和肺活量测定测试来评估肺功能和慢性健康疾病风险。研究发现,教育和收入对肺功能有显著影响,小学学历和低收入者的用力肺活量百分比(FVC%)和第一秒用力呼气容积与用力肺活量比值(FEV1/FVC%)预测值更佳。较低的糖尿病风险与更好的肺功能相关(P = 0.023)。逻辑回归显示,糖尿病风险高至非常高的参与者肺功能损害显著增加(调整后比值比为9.06,p < 0.05)。心血管疾病和慢性阻塞性肺疾病的高风险水平也与肺功能损害相关,尽管并非所有结果都具有统计学意义。研究结果强调了社会经济因素、慢性病风险和肺功能之间的复杂相互作用,倡导采取全面解决人群呼吸和代谢健康问题的公共卫生干预措施。

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