Correlations of Depression Level with Gender and Family Support Among Elderly with Chronic Diseases

Chronic disease often causes depression in the elderly, especially for women. Elderly need family support to deal with the depression. This study was aimed to analyze whether there was a correlation between family support, gender, and depression levels in the elderly. Utilizing the DASS-21, the family support assessment, and questions about characteristic of respondent, data was obtained which were then analyzed using the Spearman method, with confidence level was 95%. The Spearman’s analysis yielded a correlation coefficient of -0.026, and a Sig. (2-tailed) of 0.817 between depression and family support. Likewise, the correlation coefficient was 0.070, and Sig. (2-tailed) was 0.537 between depression and gender. It can be concluded that there was a weak correlation between the three variables, but it was not statistically significant. Further study is needed to analyze the influence of confounding factors as a predictor model of depression levels in the elderly.

Authors

Institutions

Publication Details

Journal
Biomedika
Published
2025-02-10
DOI
https://doi.org/10.23917/biomedika.v17i1.7037
Primary Topic
Health and Wellbeing Research
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Correlations of Depression Level with Gender and Family Support Among Elderly with Chronic Diseases

Agil Priambodo, Andrea Chalista Imanuela
Biomedika
Health and Wellbeing Research
article

Correlations of Depression Level with Gender and Family Support Among Elderly with Chronic Diseases

Agil Priambodo, Andrea Chalista Imanuela
article en

Abstract

Chronic disease often causes depression in the elderly, especially for women. Elderly need family support to deal with the depression. This study was aimed to analyze whether there was a correlation between family support, gender, and depression levels in the elderly. Utilizing the DASS-21, the family support assessment, and questions about characteristic of respondent, data was obtained which were then analyzed using the Spearman method, with confidence level was 95%. The Spearman’s analysis yielded a correlation coefficient of -0.026, and a Sig. (2-tailed) of 0.817 between depression and family support. Likewise, the correlation coefficient was 0.070, and Sig. (2-tailed) was 0.537 between depression and gender. It can be concluded that there was a weak correlation between the three variables, but it was not statistically significant. Further study is needed to analyze the influence of confounding factors as a predictor model of depression levels in the elderly.

Biomedika
Satya Wacana Christian University (ID)
Direktorat Riset dan Pengabdian Masyarakat
Openalex Percentile: Top 63%
Health and Wellbeing Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.