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ORIGINAL ARTICLE
Year : 2020  |  Volume : 9  |  Issue : 1  |  Page : 13-18

Are the urban slum population physically inactive? A descriptive study from urban Puducherry


1 Department of Community Medicine, SVMCH and RC, Puducherry, India
2 Department of Community Medicine, AIIMS, Nagpur, Maharashtra, India
3 Department of Community Medicine, TVMC, Tirunelveli, Tamil Nadu, India
4 Department of PSM, JIPMER, Puducherry, India

Correspondence Address:
Dr. Sitanshu Sekhar Kar
Department of PSM, JIPMER, Puducherry - 605 006
India
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Source of Support: None, Conflict of Interest: None


DOI: 10.4103/JCPC.JCPC_47_19

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Context: Physical inactivity is an important modifiable behavioral risk factor for noncommunicable diseases (NCDs). However, adequate attention has not been paid to it, especially in low- and middle-income countries like India as like other risk factors due to challenges in the administration of tools to measure physical activity. Aims: This study was conducted to assess the level of physical inactivity and contributing factors in an urban slum of Puducherry. Settings and Design: Urban community, cross-sectional study design. Materials and Methods: After obtaining consent, relevant information on sociodemographic details and physical inactivity was collected, during the house-to-house survey, using a pretested semistructured questionnaire from each household of the study areas. A total of 3300 adults (aged 30 years or above) were included in the study. Physical inactivity was defined as <150 min of leisure time moderate exercise in a week. Statistics: The results were summarized as means and proportions. Results: Nearly three-fourth of the participants were physically inactive. About 79% of the females against 70% of the males were found to be physically inactive. Physical inactivity was found to be decreasing with increase in age: 30–44 years age (77.2%), 45–59 years age (75.3%), and 60 years and above (72.2%). Individuals with chronic diseases and obesity were found to be less physically inactive. Gender, age, education, socioeconomic status, occupation, alcohol use, and obesity were found to be associated with physical inactivity. Conclusion: Physical inactivity was very high in the study population, especially among young adults and females. Health education intervention targeting these populations can decrease the level of physical inactivity and in the long-run burden of NCDs in the study population.


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