Abstract
In order to test statistically whether and to what extent the weight-loss realized in an intervention program could affect any other health checkup results related to metabolic syndrome (MetS), by analyzing the one year health checkup results of the participants in an occupational weight loss program in Japan. Following analysis of variance (ANOVA) for the preliminary analyses, we conducted simple linear regression and logistic regression with significance level set to 0.05, applying each of the improvements (i.e. reductions) of weight and BMI as of the end of the HALSMA Diet program as an independent variable. Simple linear regression was used for identifying any relationship between weight loss and the improvements of other health checkup results, while logistic regression was used for predicting the probability of the resolution of MetS diagnosis after one year. There were significant linear relationships between weight loss and reductions of both waist circumference and blood sugar level, as well as a statistically significant prediction that in the case of weight loss the number of risk factors of MetS, excluding waist circumference, would be less than two. Then complimentary analyses indicated that the probability of the reduction of TG to the level below the diagnostic criteria for MetS was also significantly predictable. For further study, we should consider introducing other factors than weight loss as additional independent variables. It is also necessary to analyze data for a longer period.
