西孟加拉邦农村地区老年人口生活质量:一项横断面研究

Subhasish Kumar, S. Majumdar, Mahul Mukherjee, Avijit Paul
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引用次数: 0

摘要

导言:老龄化与各种分子和细胞损伤的逐渐积累有关,导致老年人群中不同类型的发病率,特别是在卫生基础设施不足的印度农村地区。目的:本研究的目的是评估西孟加拉邦东布尔德万区Memari-I街区老年人口的社会人口特征和生活质量(QOL)。材料与方法:对西孟加拉邦Memari-I区块436名农村老年人口进行了横断面观察研究,并进行了多阶段比例人口抽样。数据收集采用预先测试、预先设计、结构化的时间表进行挨家挨户的调查,并借助IBM SPSS v16进行数据分析。结果:研究人群中男性263例(60.3%),60-69岁年龄组272例(62.4%)。近三分之一的人口(37.8%)体重过轻,其中一半属于社会经济地位较低的群体(51.6%)。他们的生活质量受年龄、种姓、家庭类型、成瘾、体重指数(BMI)、依赖他人、社会经济地位和是否患有高血压或糖尿病的显著影响。结论:从本研究可以看出,梅马里地区的老年人口体重偏低,属于社会经济地位较低的群体。生活质量与年龄、种姓、家庭类型、成瘾、BMI、对他人的依赖、社会经济地位以及是否患有高血压或糖尿病有显著相关性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Quality of life among geriatric population in a rural area of West Bengal: A cross-sectional study
Introduction: Aging is associated with gradual accumulation of a wide variety of molecular and cellular damage resulting in different types of morbidities in geriatric population, especially in rural areas in India where health infrastructure is insufficient. Aims: The aim of the study was to assess sociodemographic profile and quality of life (QOL) of geriatric population in Memari-I block of East Burdwan district, West Bengal. Materials and Methods: A cross-sectional observational study was done among 436 rural geriatric population from October to December 2020 at Memari-I block in West Bengal, and multistage proportionate population sampling was done. Data were collected through house-to-house survey by pretested, predesigned, structured schedule and data analyzed with the help of IBM SPSS v16. Results: Among the study population, 263 (60.3%) were male and 272 (62.4%) were in the age group of 60–69. Nearly one-third of the population (37.8%) was underweight and half of them belonged to lower socioeconomic group (51.6%). Their QOL was significantly influenced by age, caste, family type, addiction, body mass index (BMI), dependency on others, socioeconomic status, and the presence of hypertension or diabetes. Conclusion: From the present study, it can be concluded that geriatric population from the Memari block was underweight and belonged to lower socioeconomic group. Significant association of QOL was found with age, caste, family type, addiction, BMI, dependency on others, socioeconomic status, and the presence of hypertension or diabetes.
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