Delbari Ahmad, Zanjari Nasibeh, Momtaz Yadollah Abolfathi, Rahim Fakher, Saeidimehr Saeid
Research Center on Aging, University of Social Welfare and Rehabilitation Sciences, Tehran, Iran.
Research Center of Thalassemia & Hemoglobinopathy, Health Research Institute, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.
J Diabetes Metab Disord. 2021 Mar 31;20(1):601-610. doi: 10.1007/s40200-021-00787-2. eCollection 2021 Jun.
This community-based cross-sectional study aimed to identify the frailty prevalence and associated socio-demographic factors among older adults in five cities of the south west of Iran.
We selected a random sample of adults aged 60 years and above from five Southwest cities in Iran. Data for this study were retrospectively collected from 540 community-dwelling older adults. To measure frailty, we utilized the frailty index of cumulative deficit (FICD). Data were collected from medical records and socio-demographic factors, including gender, age, marital status, education level, lifestyle, income, and job status. The chi-square test and Spearman's correlation coefficient test were used to assess the relationship between the demographic variables and frailty status (SPSS version 22). Also, multiple binary logistic regression models were used to estimate the effects of demographic characteristics on the frailty recurrence.
The overall frailty prevalence was as follows: 77 (14.3%) frail, 139 (25.7%) pre-frail, and 324 (60%) not frail. The findings showed that all variables except education level and marital status are significantly associated with frailty status ( < 0.05). Multiple ridge logistic regression model indicated that age, gender, marital status, job status have significant, and education level, living arrangement, and economic status have no considerable effect on the frailty.
This study has shown that age and gender significantly contributed to the frailty process in older adults. The research also has shown the syndrome's occurrence affected by the aging process, and it supports the biological characteristics of frailty.
本基于社区的横断面研究旨在确定伊朗西南部五个城市老年人的衰弱患病率及相关社会人口学因素。
我们从伊朗西南部五个城市随机抽取了60岁及以上的成年人样本。本研究的数据是从540名社区居住的老年人中回顾性收集的。为了测量衰弱程度,我们采用了累积缺陷衰弱指数(FICD)。数据收集自医疗记录和社会人口学因素,包括性别、年龄、婚姻状况、教育水平、生活方式、收入和工作状态。采用卡方检验和Spearman相关系数检验来评估人口统计学变量与衰弱状态之间的关系(SPSS 22版)。此外,还使用了多个二元逻辑回归模型来估计人口统计学特征对衰弱复发的影响。
总体衰弱患病率如下:77人(14.3%)衰弱,139人(25.7%)衰弱前期,324人(60%)非衰弱。研究结果表明,除教育水平和婚姻状况外,所有变量均与衰弱状态显著相关(<0.05)。多元岭逻辑回归模型表明,年龄、性别、婚姻状况、工作状态具有显著影响,而教育水平、居住安排和经济状况对衰弱没有显著影响。
本研究表明,年龄和性别对老年人的衰弱过程有显著影响。该研究还表明,该综合征的发生受衰老过程影响,支持了衰弱的生物学特征。