A Cross-Sectional Study on Osteoporosis and its Risk Factors among Middle-Aged Women in Chennai

Introduction Osteoporosis is a significant public health concern, yet awareness remains low among middle-aged women. This cross-sectional study examines the relationship between education level, age, occupation, and osteoporosis awareness among women in Chennai.  Methodology A survey of 204 participants revealed a statistically significant association between awareness and key demographic factors. Higher education levels correlated with greater awareness (χ2 = 29.35, p = 0.0034) [1], while older age groups exhibited lower awareness (χ2 = 5.57, p = 0.0017) [5]. Occupational disparities were also evident, with teachers demonstrating the highest awareness levels (42.9%), while homemakers (16.25%–28.57%) and manual laborers (0%) had significantly lower awareness (χ2 = 4.36, p = 0.0013) [2].  Findings These findings highlight critical knowledge gaps, particularly among older individuals, less-educated women, and those in informal labor sectors. Misconceptions about calcium intake, vitamin D, and lifestyle choices persist, underscoring the need for targeted educational interventions, workplace awareness programs, and community outreach efforts [6].  Conclusion Routine osteoporosis screening and structured awareness campaigns could facilitate early prevention, diagnosis, and management [4]. Future research should assess the effectiveness of such initiatives in enhancing knowledge and health outcomes [3]

Authors

Publication Details

Published
2025-04-15
DOI
https://doi.org/10.38124/ijisrt/25apr193
Primary Topic
Biomarkers in Disease Mechanisms
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Cross-Sectional Study on Osteoporosis and its Risk Factors among Middle-Aged Women in Chennai

B Janani, V Kousalya., P Menakasri., Maria Thankachan
1 links
Biomarkers in Disease Mechanisms
article

A Cross-Sectional Study on Osteoporosis and its Risk Factors among Middle-Aged Women in Chennai

B Janani, V Kousalya., P Menakasri., Maria Thankachan
article en

Abstract

Introduction Osteoporosis is a significant public health concern, yet awareness remains low among middle-aged women. This cross-sectional study examines the relationship between education level, age, occupation, and osteoporosis awareness among women in Chennai.  Methodology A survey of 204 participants revealed a statistically significant association between awareness and key demographic factors. Higher education levels correlated with greater awareness (χ2 = 29.35, p = 0.0034) [1], while older age groups exhibited lower awareness (χ2 = 5.57, p = 0.0017) [5]. Occupational disparities were also evident, with teachers demonstrating the highest awareness levels (42.9%), while homemakers (16.25%–28.57%) and manual laborers (0%) had significantly lower awareness (χ2 = 4.36, p = 0.0013) [2].  Findings These findings highlight critical knowledge gaps, particularly among older individuals, less-educated women, and those in informal labor sectors. Misconceptions about calcium intake, vitamin D, and lifestyle choices persist, underscoring the need for targeted educational interventions, workplace awareness programs, and community outreach efforts [6].  Conclusion Routine osteoporosis screening and structured awareness campaigns could facilitate early prevention, diagnosis, and management [4]. Future research should assess the effectiveness of such initiatives in enhancing knowledge and health outcomes [3]

Openalex Percentile: Top 92%
Biomarkers in Disease Mechanisms
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.