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一项关于久坐职业员工社会人口统计学变量与灾难性医疗支出关系的横断面研究。

A Cross-sectional Study for Examining Catastrophic Healthcare Expenditure Across Socio-demographic Variables among Employees in a Sedentary Occupation.

作者信息

Yadav Monika, Bathirasamy Viji

机构信息

Department of Economics, CHRIST (Deemed to be University), Bengaluru, Karnataka, India.

出版信息

Indian J Community Med. 2024 Jul-Aug;49(4):638-641. doi: 10.4103/ijcm.ijcm_768_22. Epub 2024 Jul 9.

Abstract

Health expenditure above a certain threshold level can result in a financial catastrophe by reducing the expenses on necessities. Certain socio-demographic variables have been observed to play a role in influencing catastrophic healthcare expenditure, guiding the present study to examine this scenario for employees in sedentary occupations. A cross-sectional study has been conducted among 370 employees recruited through a random sampling technique. Multinomial logistic regression was used to test the main objective of the study. The factors associated with a higher probability of catastrophic healthcare expenditure were males with increasing age. Years of work experience tend to be associated with a lower likelihood of catastrophic healthcare expenditure. No conclusive evidence could be drawn for BMI, income, marital status and education.

摘要

超过一定阈值水平的医疗支出可能会通过减少必需品支出而导致经济灾难。据观察,某些社会人口统计学变量在影响灾难性医疗支出方面发挥作用,这引导本研究针对久坐职业的员工来考察这种情况。通过随机抽样技术招募了370名员工并进行了一项横断面研究。采用多项逻辑回归来检验该研究的主要目标。与灾难性医疗支出可能性较高相关的因素是年龄增加的男性。工作年限往往与灾难性医疗支出的可能性较低相关。对于体重指数、收入、婚姻状况和教育程度,无法得出确凿证据。

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