Objectives: To investigate the correlation between imbalance of muscle mass to body weight and lifestyle-related diseases using bioelectrical impedance analysis (BIA) among Japanese population. Methods: This was a retrospective, cross-sectional study conducted at Juntendo University Hospital in Tokyo, Japan, from May 2015 to November 2017. Their muscle-to-weight ratio were stratified into “muscle-to-weight ratio” quartiles as follows: men, Q1 (0.79), Q2 (0.75 to <0.79), Q3 (0.72 to <0.75), and Q4 (<0.72); women, Q1 (0.73), Q2 (0.68 to <0.73), Q3 (0.63 to <0.68), and Q4 (<0.63). The primary outcome was prevalence of 2 lifestyle-related diseases, including hypertension, dyslipidemia, type 2 diabetes mellitus, and hyperuricemia. Results: Data from 2009 individuals (men, 55%; mean age, 62 years) were analyzed. Compared to the lowest quartile, risk for the presence of 2 lifestyle-related diseases, in a multivariable regression model for men was as follows: Q2 (odds ratio [OR], 1.93; 95% confidence interval [CI], 1.31e2.87), Q3 (OR, 2.85; 95% CI, 1.89e4.29), and Q4 (OR, 6.00; 95% CI, 4.07e8.84). For women, an increased risk was seen in Q2 (OR, 2.31; 95% CI, 1.20e4.46), Q3 (OR, 4.45; 95% CI, 2.40e8.26), and Q4 (OR, 12.6; 95% CI, 6.80e23.5). Cutoff values of muscle-to-weight ratio correlated with lifestyle-related diseases (2) were 0.76 for men and 0.68 for women. Conclusions Our results showed that an imbalance of muscle mass to body weight confers an independent and stepwise increased risk for lifestyle-related diseases.

Objectives: To investigate the correlation between imbalance of muscle mass to body weight and lifestyle-related diseases using bioelectrical impedance analysis (BIA) among Japanese population. Methods: This was a retrospective, cross-sectional study conducted at Juntendo University Hospital in Tokyo, Japan, from May 2015 to November 2017. Their muscle-to-weight ratio were stratified into “muscle-to-weight ratio” quartiles as follows: men, Q1 (0.79), Q2 (0.75 to <0.79), Q3 (0.72 to <0.75), and Q4 (<0.72); women, Q1 (0.73), Q2 (0.68 to <0.73), Q3 (0.63 to <0.68), and Q4 (<0.63). The primary outcome was prevalence of 2 lifestyle-related diseases, including hypertension, dyslipidemia, type 2 diabetes mellitus, and hyperuricemia. Results: Data from 2009 individuals (men, 55%; mean age, 62 years) were analyzed. Compared to the lowest quartile, risk for the presence of 2 lifestyle-related diseases, in a multivariable regression model for men was as follows: Q2 (odds ratio [OR], 1.93; 95% confidence interval [CI], 1.31e2.87), Q3 (OR, 2.85; 95% CI, 1.89e4.29), and Q4 (OR, 6.00; 95% CI, 4.07e8.84). For women, an increased risk was seen in Q2 (OR, 2.31; 95% CI, 1.20e4.46), Q3 (OR, 4.45; 95% CI, 2.40e8.26), and Q4 (OR, 12.6; 95% CI, 6.80e23.5). Cutoff values of muscle-to-weight ratio correlated with lifestyle-related diseases (2) were 0.76 for men and 0.68 for women. Conclusions Our results showed that an imbalance of muscle mass to body weight confers an independent and stepwise increased risk for lifestyle-related diseases.