Cardiovascular wellness in low-resource settings: A mobile app-based risk prediction study among fuel filling station employees in Puducherry district

This study sheds light on the sedentary nature of the occupation and the increased prevalence of CVD risk factors among the study participants. It is also evident that the participants had higher CVD risk scores for developing CVDs in the future. Recommendations: The use of mobile-based apps can be used as a feasible strategy to save scarce resources in delivering primary health care. We also propose that the nature of occupation be taken into account as one of the parameters for risk prediction. Risk prediction assessment should be made mandatory during the annual examination of employees.

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Publication Details

Journal
Journal of Family Medicine and Primary Care
Published
2024-12-01
DOI
https://doi.org/10.4103/jfmpc.jfmpc_638_24
Primary Topic
Cardiovascular Health and Risk Factors
Type
article
Field-Weighted Citation Impact
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article

Cardiovascular wellness in low-resource settings: A mobile app-based risk prediction study among fuel filling station employees in Puducherry district

Jyothi Vasudevan, Madonna J. Dsouza, Divyabharathy Ramadass, Baalaji Subramanian
1 links
Journal of Family Medicine and Primary Care
Cardiovascular Health and Risk Factors
article

Cardiovascular wellness in low-resource settings: A mobile app-based risk prediction study among fuel filling station employees in Puducherry district

Jyothi Vasudevan, Madonna J. Dsouza, Divyabharathy Ramadass, Baalaji Subramanian
article en

Abstract

This study sheds light on the sedentary nature of the occupation and the increased prevalence of CVD risk factors among the study participants. It is also evident that the participants had higher CVD risk scores for developing CVDs in the future. Recommendations: The use of mobile-based apps can be used as a feasible strategy to save scarce resources in delivering primary health care. We also propose that the nature of occupation be taken into account as one of the parameters for risk prediction. Risk prediction assessment should be made mandatory during the annual examination of employees.

Journal of Family Medicine and Primary CareVol. 13(12)
Mahatma Gandhi Medical College and Research Institute (IN), Sri Balaji Vidyapeeth University (IN)
No poverty, Good health and well-being
Openalex Percentile: Top 59%
Cardiovascular Health and Risk Factors
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Cardiovascular wellness in low-resource settings: A mobile app-based risk prediction study among fuel filling station employees in Puducherry district — Jyothi Vasudevan, Madonna J. Dsouza, et al. · Journal of Family Medicine and Primary Care (2024) | TGRS Research Map | TGRS