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.
Authors
- Jyothi Vasudevan (ORCID: https://orcid.org/0000-0003-1893-7558)
- Madonna J. Dsouza
- Divyabharathy Ramadass
- Baalaji Subramanian
Institutions
- Mahatma Gandhi Medical College and Research Institute (IN)
- Sri Balaji Vidyapeeth University (IN)
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
- 0.00