Assessment of Level of Physical Activity and Depression in Postmenopausal Women: A Cross-Sectional Study

Background: Menopause is associated with significant changes in the physical and mental health of women. Physical activity has been proposed as a mitigating factor for mental health issues like depression during this phase. Objectives: To assess the levels of physical activity and depression among postmenopausal women and examine the correlation between these two variables. Methods: This cross-sectional study included 120 postmenopausal women aged 40 years and above from various societies in Surat. Participants completed the International Physical Activity Questionnaire (IPAQ) and Beck Depression Inventory (BDI). Statistical analysis was performed using SPSS 20.0, employing descriptive statistics and Spearman’s rank correlation. Results: Most participants exhibited moderate physical activity levels (50.83%). Regarding depression, 65% displayed normal mood variations, 25% had mild mood disturbances, 5% had borderline clinical depression, and another 5% had moderate depression. No severe depression was observed. A weak negative correlation was found between physical activity levels and depression scores (r = -0.027, p = 0.768). Conclusion: The majority of postmenopausal women engaged in moderate physical activity and exhibited normal or mildly disturbed moods. Key words: Postmenopausal women, International Physical Activity Questionnaire, Beck Depression Inventory.

Authors

Publication Details

Journal
International Journal of Health Sciences and Research
Published
2024-12-21
DOI
https://doi.org/10.52403/ijhsr.20241230
Primary Topic
Health and Wellbeing Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Assessment of Level of Physical Activity and Depression in Postmenopausal Women: A Cross-Sectional Study

M. M. R., Mangukiya Drashtiben G, Navadiya Bhargavi D
1 links
International Journal of Health Sciences and Research
Health and Wellbeing Research
article

Assessment of Level of Physical Activity and Depression in Postmenopausal Women: A Cross-Sectional Study

M. M. R., Mangukiya Drashtiben G, Navadiya Bhargavi D
article en

Abstract

Background: Menopause is associated with significant changes in the physical and mental health of women. Physical activity has been proposed as a mitigating factor for mental health issues like depression during this phase. Objectives: To assess the levels of physical activity and depression among postmenopausal women and examine the correlation between these two variables. Methods: This cross-sectional study included 120 postmenopausal women aged 40 years and above from various societies in Surat. Participants completed the International Physical Activity Questionnaire (IPAQ) and Beck Depression Inventory (BDI). Statistical analysis was performed using SPSS 20.0, employing descriptive statistics and Spearman’s rank correlation. Results: Most participants exhibited moderate physical activity levels (50.83%). Regarding depression, 65% displayed normal mood variations, 25% had mild mood disturbances, 5% had borderline clinical depression, and another 5% had moderate depression. No severe depression was observed. A weak negative correlation was found between physical activity levels and depression scores (r = -0.027, p = 0.768). Conclusion: The majority of postmenopausal women engaged in moderate physical activity and exhibited normal or mildly disturbed moods. Key words: Postmenopausal women, International Physical Activity Questionnaire, Beck Depression Inventory.

International Journal of Health Sciences and ResearchVol. 14(12)
Good health and well-being
Openalex Percentile: Top 57%
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.