<p>Odds ratios (95% confidence intervals).</p>a<p>P-value by χ<sup>2</sup> test.</p>b<p>P for trend.</p>c<p>Logistic regression model adjusted for intervention group, and baseline age, tobacco use, physical activity, Mediterranean diet score and alcohol consumption.</p>d<p>Logistic regression models adjusted for variables used in model 1 plus baseline BMI and recruitment centre.</p>e<p>Logistic regression models adjusted for variables used in model 2 plus baseline features of the metabolic syndrome.</p
<p>Body fat was logarithmically transformed for statistical analyses. Odds ratios (95% CI) were show...
<p>All models adjusted for age, gender and BMI, with metabolic syndrome as the dependent variable. E...
<p>Prevalence of metabolic syndrome, at baseline, three and six months, by randomization group.</p
a<p>P-value = χ<sup>2</sup> test; <sup>b</sup> P for trend; <sup>c</sup> Logistic regression models...
<p>Odds ratios (95% confidence intervals) with the lowest quartile as the reference category.</p>a<p...
<p>Data are odds ratios (95% CI) compared with EZSCAN (0–24) group. Participants without metabolic s...
<p><i>P</i><0.05 indicates a significant interaction term in the logistic regression model.</p><p>Ad...
<p><u><i>Regression models above were adjusted for age</i>, <i>gender</i>, <i>and SHBG levels</i>. <...
<p>Abbreviations: BMI = body mass index; HOMA-IR = homeostasis model assessment for insulin resi...
<p>Data are expressed as ORs and corresponding 95% CIs.</p><p>OR, odd ratio; CI, confidence interval...
<p>The ORs were estimated by using the restricted cubic-spline logistic regression models with knots...
AbstractLogistic regression has now become an essential part of medical data analysis that uses a bi...
<p>Model 1 was adjusted for: age (years), sex, geographic recruitment area and BMI (kg/m<sup>2</sup>...
<p>Analyses were adjusted for baseline smoking status and baseline level of the outcome metabolic fa...
<p>Odds ratios (95% confidence intervals).</p><p>Logistic regression models (outcome: MetS; independ...
<p>Body fat was logarithmically transformed for statistical analyses. Odds ratios (95% CI) were show...
<p>All models adjusted for age, gender and BMI, with metabolic syndrome as the dependent variable. E...
<p>Prevalence of metabolic syndrome, at baseline, three and six months, by randomization group.</p
a<p>P-value = χ<sup>2</sup> test; <sup>b</sup> P for trend; <sup>c</sup> Logistic regression models...
<p>Odds ratios (95% confidence intervals) with the lowest quartile as the reference category.</p>a<p...
<p>Data are odds ratios (95% CI) compared with EZSCAN (0–24) group. Participants without metabolic s...
<p><i>P</i><0.05 indicates a significant interaction term in the logistic regression model.</p><p>Ad...
<p><u><i>Regression models above were adjusted for age</i>, <i>gender</i>, <i>and SHBG levels</i>. <...
<p>Abbreviations: BMI = body mass index; HOMA-IR = homeostasis model assessment for insulin resi...
<p>Data are expressed as ORs and corresponding 95% CIs.</p><p>OR, odd ratio; CI, confidence interval...
<p>The ORs were estimated by using the restricted cubic-spline logistic regression models with knots...
AbstractLogistic regression has now become an essential part of medical data analysis that uses a bi...
<p>Model 1 was adjusted for: age (years), sex, geographic recruitment area and BMI (kg/m<sup>2</sup>...
<p>Analyses were adjusted for baseline smoking status and baseline level of the outcome metabolic fa...
<p>Odds ratios (95% confidence intervals).</p><p>Logistic regression models (outcome: MetS; independ...
<p>Body fat was logarithmically transformed for statistical analyses. Odds ratios (95% CI) were show...
<p>All models adjusted for age, gender and BMI, with metabolic syndrome as the dependent variable. E...
<p>Prevalence of metabolic syndrome, at baseline, three and six months, by randomization group.</p