The Relationship between Socio-Demographics, Knowledge, and Attitude with Physical Activity in the Productive Age Community in Padang City, West Sumatra, Indonesia

Introduction Lack of physical activity is a significant risk factor for various noncommunicable diseases and a cause of global death. National data from Indonesia shows that the prevalence of a lack of physical activity is 33.5%, while in West Sumatra Province, the figure is higher, at 39.4%. This condition requires targeted intervention by understanding the distribution of physical activity based on the community's sociodemographic characteristics, knowledge, and attitudes. This research aims to analyze the relationship between sociodemographic factors, knowledge, attitudes, and the level of physical activity in the productive age community. Methods A cross-sectional analytical study was conducted on 316 productive-age respondents selected using cluster random sampling. Data were collected using a structured questionnaire and analyzed using the Chi-square test for bivariate analysis and logistic regression for multivariate analysis to determine the dominant factors influencing physical activity. Results As many as 37.0% of respondents had low physical activity, higher than moderate (36.1%) and high (26.9%) physical activity. The most influential factors on low physical activity were gender ( p =0.00; OR=0.02), occupation ( p =0.002; OR=4.02), knowledge ( p =0.000; OR=24.72), and attitude ( p =0.000; OR=25.83). Meanwhile, for moderate physical activity, the dominant factors were gender ( p =0.000; OR=0.185), occupation ( p =0.028; OR=2.15), knowledge ( p =0.031; OR=2.89), and attitude ( p =0.028; OR=2.78). Discussion These results indicate that physical activity among productive-age individuals is influenced by gender, occupation, and individual knowledge and attitudes toward health. Improving access to accurate health information is key to promoting active lifestyles. These findings underscore the importance of integrating health education programs to empower communities to increase physical activity levels effectively. Conclusion Physical activity in the productive age is influenced by gender, type of employment, and knowledge and attitudes toward health. Gender-based health education interventions and increased access to accurate health information are key to promoting active lifestyles and effectively empowering communities to reduce the risk of non-communicable diseases.

Authors

Publication Details

Journal
The Open Public Health Journal
Published
2025-10-09
DOI
https://doi.org/10.2174/0118749445412309250930073847
Primary Topic
Physical Activity and Health
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The Relationship between Socio-Demographics, Knowledge, and Attitude with Physical Activity in the Productive Age Community in Padang City, West Sumatra, Indonesia

Rizanda Machmud, Musfardi Rustam, Najirman Najirman, Yantri Maputra et al.
The Open Public Health Journal
Physical Activity and Health
article

The Relationship between Socio-Demographics, Knowledge, and Attitude with Physical Activity in the Productive Age Community in Padang City, West Sumatra, Indonesia

Rizanda Machmud, Musfardi Rustam, Najirman Najirman, Yantri Maputra, Abdiana Abdiana, Firdawati Firdawati, Masrul Masrul, Hardisman Hardisman
article en

Abstract

Introduction Lack of physical activity is a significant risk factor for various noncommunicable diseases and a cause of global death. National data from Indonesia shows that the prevalence of a lack of physical activity is 33.5%, while in West Sumatra Province, the figure is higher, at 39.4%. This condition requires targeted intervention by understanding the distribution of physical activity based on the community's sociodemographic characteristics, knowledge, and attitudes. This research aims to analyze the relationship between sociodemographic factors, knowledge, attitudes, and the level of physical activity in the productive age community. Methods A cross-sectional analytical study was conducted on 316 productive-age respondents selected using cluster random sampling. Data were collected using a structured questionnaire and analyzed using the Chi-square test for bivariate analysis and logistic regression for multivariate analysis to determine the dominant factors influencing physical activity. Results As many as 37.0% of respondents had low physical activity, higher than moderate (36.1%) and high (26.9%) physical activity. The most influential factors on low physical activity were gender ( p =0.00; OR=0.02), occupation ( p =0.002; OR=4.02), knowledge ( p =0.000; OR=24.72), and attitude ( p =0.000; OR=25.83). Meanwhile, for moderate physical activity, the dominant factors were gender ( p =0.000; OR=0.185), occupation ( p =0.028; OR=2.15), knowledge ( p =0.031; OR=2.89), and attitude ( p =0.028; OR=2.78). Discussion These results indicate that physical activity among productive-age individuals is influenced by gender, occupation, and individual knowledge and attitudes toward health. Improving access to accurate health information is key to promoting active lifestyles. These findings underscore the importance of integrating health education programs to empower communities to increase physical activity levels effectively. Conclusion Physical activity in the productive age is influenced by gender, type of employment, and knowledge and attitudes toward health. Gender-based health education interventions and increased access to accurate health information are key to promoting active lifestyles and effectively empowering communities to reduce the risk of non-communicable diseases.

The Open Public Health JournalVol. 18(1)
Openalex Percentile: Top 64%
Physical Activity and Health
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.