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 noncommunicable
diseases.