<p>* p<0.001</p><p>Model 1. Unadjusted</p><p>Model 2. Adjusted for physical activity, education, marital status, smoking and age.</p><p>DF; degree of freedom; CMIN/DF: Minimum discrepancy, divided by its degrees of freedom; RMSEA: Root mean square error of approximation; RMR: Root Mean Square Residual; CFI: Comparative-Fit index; GFI: Goodness of fit index; NFI: Normed Fit Index; IFI: Incremental Fit Index</p><p>Each constrained model compared to previous models, and their differences were tested using Chi square test. Chi square test is used to test the null hypothesis that the more constrained model is correct under the assumption that the less constrained model.</p><p><sup>1</sup> All parameters were considered different in men and women...
Predictors of obesity from adjusted and unadjusted multivariable analysis models for male and female...
Objectives The purpose of this study was to use structural equation modeling (SEM) to investigate th...
<p>Table values are regression coefficients (β) ± standard errors (SE) per 1-SD unit increment in pe...
<p>The numbers on the paths represent standardized regression coefficients (t-value). The two sided ...
<p>The numbers on the paths represent standardized regression coefficients (t-value). The bold-face ...
BackgroundThe purpose of this study was to apply the structural equation modeling (SEM) to compare t...
Accurate measurement requires assessment of measurement equivalence/invariance (ME/I) to demonstrate...
Accurate measurement requires assessment of measurement equivalence/invariance (ME/I) to demonstrate...
Background: Prevalence of metabolic syndrome is high and increasing in China. The causation of this ...
<p>Abbreviations: SF-36, short form 36.</p><p>Model 1 was adjusted for, age at the testing time, hig...
<p>(A) Men. (B) Women. MetS = metabolic syndrome. The corresponding cut-off value derived from the s...
<p>Abbreviations; CI, confidence interval.</p><p>*All the models were adjusted for age, height, weig...
<p>Data are presented as marginal estimated mean ± SE.</p><p>MAP = mean arterial blood pressure (DBP...
<p>GFR, glomerular filtration rate; CI, confidence interval; OR, odds ratio.</p><p>*Univariate model...
Objective: Although metabolic syndrome (MetS) is a major health problem worldwide, there is no unive...
Predictors of obesity from adjusted and unadjusted multivariable analysis models for male and female...
Objectives The purpose of this study was to use structural equation modeling (SEM) to investigate th...
<p>Table values are regression coefficients (β) ± standard errors (SE) per 1-SD unit increment in pe...
<p>The numbers on the paths represent standardized regression coefficients (t-value). The two sided ...
<p>The numbers on the paths represent standardized regression coefficients (t-value). The bold-face ...
BackgroundThe purpose of this study was to apply the structural equation modeling (SEM) to compare t...
Accurate measurement requires assessment of measurement equivalence/invariance (ME/I) to demonstrate...
Accurate measurement requires assessment of measurement equivalence/invariance (ME/I) to demonstrate...
Background: Prevalence of metabolic syndrome is high and increasing in China. The causation of this ...
<p>Abbreviations: SF-36, short form 36.</p><p>Model 1 was adjusted for, age at the testing time, hig...
<p>(A) Men. (B) Women. MetS = metabolic syndrome. The corresponding cut-off value derived from the s...
<p>Abbreviations; CI, confidence interval.</p><p>*All the models were adjusted for age, height, weig...
<p>Data are presented as marginal estimated mean ± SE.</p><p>MAP = mean arterial blood pressure (DBP...
<p>GFR, glomerular filtration rate; CI, confidence interval; OR, odds ratio.</p><p>*Univariate model...
Objective: Although metabolic syndrome (MetS) is a major health problem worldwide, there is no unive...
Predictors of obesity from adjusted and unadjusted multivariable analysis models for male and female...
Objectives The purpose of this study was to use structural equation modeling (SEM) to investigate th...
<p>Table values are regression coefficients (β) ± standard errors (SE) per 1-SD unit increment in pe...