Search

Background: Socioeconomic status (SES) is a key determinant of health. However, ascertaining the SES in developing countries is really challenging. Hence, we decided to develop an asset-based simple and rational SES tool for urban population of Puducherry and compare it with Modified Kuppuswamy's (MK) scale. Materials and Methods: Sequential mixed methods design was used. The list of local household assets to determine SES was created based on group interviews with stakeholders and review of literature. Then, survey was carried out among 500 urban households by trained medical interns after obtaining informed consent. EpiCollect-5, mobile-based software, was used to capture data. Principal component analysis (PCA) was carried out to construct a wealth index using SPSS version 24. The assets included in the final PCA were ranked based on their contribution to the index by linear regression. Results: The eigenvalue for the first principal component was 6.7 accounting for 33.6% of the variance in the original data. Finally, reduced 10-item-based SES scale was created and scoring system was formulated based on regression coefficient. The weighted kappa statistics and correlation coefficient measure of reliability between household quintiles on 20-item and 10-item reduced SES tool were 0.77 and 0.95, respectively. There was a moderate correlation between SES obtained from MK scale and newly constructed scale. Conclusions: The newly devised SES scale is context specific, reliable, easy to administer, and quick to ascertain the SES and thus can be used for a similar context in future health research. [ABSTRACT FROM AUTHOR]

Background: Burden of metabolic syndrome (MS) is rising. There were many previous studies conducted in India on MS, yet it is less studied in Puducherry which has embraced modern culture and lifestyle. Hence, we aimed to study the prevalence and predictors of MS. Materials and Methods: A cross-sectional study was undertaken on a representative sample of 489 adults of age 30 years and above over the period of 18 months. MS was defined according to the International Diabetes Federation (IDF) criteria. Data on sociodemography, lifestyle characteristics, and biochemical parameters were collected by a well-trained health professional using standard methods. Generalized linear models with Poisson distribution and log link function were used to calculate the adjusted prevalence ratio (PR). Results: The prevalence of MS was 39.7% (95% confidence interval [CI]: 35.3-44.1) among the study participants. The most commonly deranged component of MS was central obesity (63.6%). Increasing age, upper socioeconomic status, low fruit intake, physical inactivity, use of refined sunflower oil (PR: 1.40, 95% CI: 1.07-1.83) for cooking, and high perceived stress (PR: 1.77, 95% CI: 1.32-2.37) were found to be associated with MS. Conclusion: The prevalence of MS in Puducherry was high as per the IDF criteria. Usage of refined sunflower oil for cooking and perceived stress was independently associated with an increased risk of MS along with other routinely studied risk factors. [ABSTRACT FROM AUTHOR]