Endocrine Abstracts

JOINT1087

Introduction: There has been a recent debate on the relation between work time and metabolic syndrome. The aim of this study is to see whether there is any association between state-wise work time and state-wise prevalence of diabetes and hypertension.

Methods: We compared published data of average working minutes/day in India state-wise from 2019 Time Use Survey, with diabetes, hypertension and dyslipidemia prevalence state-wise, and looked for a correlation with diabetes, and hypertension data state-wise. We collected data from the ICMR-INDIAB study and the latest published literature. We used the Shapiro-Wilk test, skewness and kurtosis to check for the normality of data. We used the Pearson r correlation test for parametric and the Spearmen rho test for nonparametric data to check for correlation between state-wise working time, state-wise diabetes, hypertension and dyslipidemia prevalence. We also evaluated rural and urban data separately whenever available. Statistical analysis was done using JASP (University of Amsterdam).

Results: In our findings, the Average time spent on paid activities by individuals per state positively correlated with state-wise Diabetes mellitus prevalence rate. (Spearman rho 0.412, P = 0.024). This relationship was sustained in the urban/rural divide. Average time spent on paid activities in the urban region positively correlated with urban diabetes prevalence state-wise. (Pearson r 0.5, P= 0.05). Similarly, rural work time is also correlated positively with the rural prevalence of diabetes mellitus. (Pearson r= 0.595, P = 0.019). Average time spent on paid activities was not significantly correlated with diagnosed hypertension at the time of the survey (P = 0.812), but it was positively correlated with undiagnosed hypertension at the time of the survey. (Spearman rho 0.358, P = 0.041). Work time also correlated positively with cholesterol levels>200 (spearman rho 0.372, P = 0.047), Ldl > 130, (spearmen rho 0.367, P= 0.05). However, no significant correlation was found between triglyceride levels> 150 and HDL levels <40.

Conclusion: In India, the state-wise prevalence of metabolic syndrome components like diabetes, hypertension and dyslipidemias correlated positively with average working minutes/day, suggesting the need to define optimal working time to find a balance between economic growth and health.