Implementation of Wellness Program Model for Decreasing of Metabolic Syndrome Risk and Increasing Work Productivity of Government Employee in Bali Province

Abstract

Health development as an investment to improve the quality of human resources. Unhealthy lifestyles such as lack of exercise, unbalance diet, excessive workloads can cause of degenerative diseases and decreasing of physical fitness and productivity. This study aims to implement of Wellness Program to reduce of BMI (overweight and obesity) and Blood Pressure as a risk of metabolic syndrome, decreasing of body fat and enhance of work productivity for government employee. This study was experimental designed with control group and treatment group. The group was randomly from the government employee in Denpasar City and Gianyar Regency. The treatment group was given the implementation of Wellness Program such as nutrition education, physical exercise regularly and giving healthy juice before and after exercise among 2 month or 8 weeks. This research was to find out the difference effect of treatment in the two groups (pre and posttest), The data were analyzed descriptively and a different test using a statistical test independent samples t-test at a significance level of > 0.05 on homogeneous data and the Man Whitney test on inhomogeneous data. The results showed that the average of blood pressure in treatment group was 123.25 + 13,328 mmHg vs 131.75 + 14.656 mmHg in control group.  There was a significant difference based on t-independent test obtained p<0.05. The nutritional status data based on BMI average showed that treatment group was lower than the Control Group i.e., 25.37+ 2.98 kg/m2 vs 26.28+ 3.35 kg/m2 but there was no significant difference with p=0, 202 (p>0.05). The average of body fat composition showed that treatment group was 25.4225 + 6.71% lower than the Control Group was 28.15 + 8.33% but there was no significant difference with p=0,111 (p>0.05). The average of work productivity the treatment group was higher than control group. The data showed 98,95 + 3,36% work productivity in treatment group vs 94,79 + 5,23% in control group. Based on t-independent test showed that there was significant difference work productivity with p=0,001 (p<0,05).