在确定孟加拉国农村地区自我健康状况时,慢性疾病优先于急性疾病。

Mymensingh medical journal : MMJ Pub Date : 2024-04-01
S M R Haque, S Tisha, M R Islam, S S Swarna, M S Bari, K U Baset
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引用次数: 0

摘要

自评健康(SRH)是衡量一个社区健康状况的重要筛查指标。更好地了解影响自评量健康状况的因素既费时又具有挑战性。本研究旨在从孟加拉国的视角出发,通过调查健康发病率、人口和社会经济因素来研究自评量健康状况的决定因素。这项横断面研究于 2017 年 1 月 2 日至 1 月 13 日在孟加拉国中部 Manikganj 地区的 908 名成年人(18 岁及以上)中进行。研究采用卡方检验(Chi-square test)来检验相关性,并采用二元逻辑回归(binary logistic regression)来预测性健康和生殖健康与所有潜在变量的关系。本研究揭示了健康状况不良与健康状况良好之间的平衡,分别为 27.2%和 72.8%。参与者至少患有一种或多种慢性疾病的比例为 3.40 倍(p
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Chronic Morbidities Overrule Acute Morbidities in Determining Self-Reported Health in Rural Bangladesh.

Self- rated health (SRH) is a valuable screening-level measure of a community's health status. A better understanding of the factors that influence SRH is time-demanding and challenging. This study aims to examine the determinants of SRH by investigating health morbidities, demographic and socio-economic factors in Bangladesh perspective. This cross-sectional study was conducted among 908 adults (aged 18 years and above) in Manikganj district of central Bangladesh from 2nd January to 13th January 2017. Chi-square test was performed to test the association and binary logistic regression was performed to predict the relationship of SRH with all potential variables. The present study reveals the balance of bad health versus good health which was 27.2% and 72.8% respectively. Participants had at least one or more chronic diseases reported 3.40 times (p<0.001) bad health compared to those who did not have any chronic illness. In contrast, acute morbidity was not a significant determinant for SRH (OR=1.379, p=0.063). Older population aged 60 years and above had 3.96 times (p<0.001) higher chance of having self-reported bad health than the younger population. In addition, depression was also found a significant contributor (OR=2.05, p<0.001) to bad health. Chronic morbidity, older age and depression are the significant predictors of SRH. If SRH is used as a screening-level measure for the rural communities then the chronic disease status of rural Bangladesh will be identified quickly and easily.

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