印度尼西亚社区老年人抑郁症状的预测因素:一项横断面研究

Q4 Medicine
S Susanty, E H Mujahid, J Suyanto, I P Sudayasa, Y-H Chuang
{"title":"印度尼西亚社区老年人抑郁症状的预测因素:一项横断面研究","authors":"S Susanty, E H Mujahid, J Suyanto, I P Sudayasa, Y-H Chuang","doi":"","DOIUrl":null,"url":null,"abstract":"<p><p>Depressive symptoms ad depression are common mental health issues that frequently manifest in elderly individuals. Prior research has shown a correlation between depression and diminished quality of life as well as suicidal ideation. Nevertheless, there is limited knowledge regarding the prevalence rate of depressive symptoms among elderly individuals in Indonesia. Thus, the objective of this study was to ascertain the frequency of depressed symptoms among the elderly population in Indonesia and identify the factors associated with it. This study employed a cross-sectional descriptive and correlational research approach. A stratified random sample method was utilized to select 1 381 participants who were 60 years old or older from 15 Community Health Centres. These centres cater to both healthy and unwell senior individuals. Data was collected via questionnaires. Univariate logistic regression was employed to identify the connections between demographic and characteristic data, and depressed symptoms. The researchers employed multivariate logistic regression to identify the factors that predict depression symptoms. The findings of this study indicate that 60.03% of older individuals in Indonesia experience depressive symptoms. The multivariate logistic regression analysis revealed significant associations between depressed symptoms in older persons and variables such as gender, past employment, health condition, and loneliness. Depressive symptoms were highly prevalent among the elderly population in the community of Indonesia. It was a critical health issue that required prompt response from healthcare professionals. The implementation of suitable techniques should be prioritized in the near future.</p>","PeriodicalId":35293,"journal":{"name":"Advances in gerontology = Uspekhi gerontologii / Rossiiskaia akademiia nauk, Gerontologicheskoe obshchestvo","volume":"37 5","pages":"525-531"},"PeriodicalIF":0.0000,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Older adults with predictors factors of depressive symptoms in the community of Indonesia: a cross sectional study.\",\"authors\":\"S Susanty, E H Mujahid, J Suyanto, I P Sudayasa, Y-H Chuang\",\"doi\":\"\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Depressive symptoms ad depression are common mental health issues that frequently manifest in elderly individuals. Prior research has shown a correlation between depression and diminished quality of life as well as suicidal ideation. Nevertheless, there is limited knowledge regarding the prevalence rate of depressive symptoms among elderly individuals in Indonesia. Thus, the objective of this study was to ascertain the frequency of depressed symptoms among the elderly population in Indonesia and identify the factors associated with it. This study employed a cross-sectional descriptive and correlational research approach. A stratified random sample method was utilized to select 1 381 participants who were 60 years old or older from 15 Community Health Centres. These centres cater to both healthy and unwell senior individuals. Data was collected via questionnaires. Univariate logistic regression was employed to identify the connections between demographic and characteristic data, and depressed symptoms. The researchers employed multivariate logistic regression to identify the factors that predict depression symptoms. The findings of this study indicate that 60.03% of older individuals in Indonesia experience depressive symptoms. The multivariate logistic regression analysis revealed significant associations between depressed symptoms in older persons and variables such as gender, past employment, health condition, and loneliness. Depressive symptoms were highly prevalent among the elderly population in the community of Indonesia. It was a critical health issue that required prompt response from healthcare professionals. The implementation of suitable techniques should be prioritized in the near future.</p>\",\"PeriodicalId\":35293,\"journal\":{\"name\":\"Advances in gerontology = Uspekhi gerontologii / Rossiiskaia akademiia nauk, Gerontologicheskoe obshchestvo\",\"volume\":\"37 5\",\"pages\":\"525-531\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Advances in gerontology = Uspekhi gerontologii / Rossiiskaia akademiia nauk, Gerontologicheskoe obshchestvo\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"Medicine\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Advances in gerontology = Uspekhi gerontologii / Rossiiskaia akademiia nauk, Gerontologicheskoe obshchestvo","FirstCategoryId":"1085","ListUrlMain":"","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Medicine","Score":null,"Total":0}
引用次数: 0

摘要

抑郁症状和抑郁是老年人常见的心理健康问题。先前的研究表明,抑郁与生活质量下降以及自杀意念之间存在关联。然而,对印度尼西亚老年人抑郁症状患病率的了解有限。因此,本研究的目的是确定印度尼西亚老年人抑郁症状的频率,并确定与之相关的因素。本研究采用横断面描述性和相关性研究方法。采用分层随机抽样的方法,从15个社区卫生中心抽取60岁及以上年龄1381名参与者。这些中心既照顾健康的老年人,也照顾身体不适的老年人。数据通过问卷收集。采用单变量逻辑回归来确定人口统计学和特征数据与抑郁症状之间的联系。研究人员采用多元逻辑回归来确定预测抑郁症状的因素。本研究结果表明,印度尼西亚60.03%的老年人有抑郁症状。多变量logistic回归分析显示,老年人抑郁症状与性别、过去就业、健康状况和孤独感等变量之间存在显著关联。抑郁症状在印度尼西亚社区的老年人口中非常普遍。这是一个严重的健康问题,需要医疗保健专业人员迅速作出反应。在不久的将来应优先考虑适当技术的实施。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Older adults with predictors factors of depressive symptoms in the community of Indonesia: a cross sectional study.

Depressive symptoms ad depression are common mental health issues that frequently manifest in elderly individuals. Prior research has shown a correlation between depression and diminished quality of life as well as suicidal ideation. Nevertheless, there is limited knowledge regarding the prevalence rate of depressive symptoms among elderly individuals in Indonesia. Thus, the objective of this study was to ascertain the frequency of depressed symptoms among the elderly population in Indonesia and identify the factors associated with it. This study employed a cross-sectional descriptive and correlational research approach. A stratified random sample method was utilized to select 1 381 participants who were 60 years old or older from 15 Community Health Centres. These centres cater to both healthy and unwell senior individuals. Data was collected via questionnaires. Univariate logistic regression was employed to identify the connections between demographic and characteristic data, and depressed symptoms. The researchers employed multivariate logistic regression to identify the factors that predict depression symptoms. The findings of this study indicate that 60.03% of older individuals in Indonesia experience depressive symptoms. The multivariate logistic regression analysis revealed significant associations between depressed symptoms in older persons and variables such as gender, past employment, health condition, and loneliness. Depressive symptoms were highly prevalent among the elderly population in the community of Indonesia. It was a critical health issue that required prompt response from healthcare professionals. The implementation of suitable techniques should be prioritized in the near future.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
CiteScore
0.50
自引率
0.00%
发文量
131
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信