‡<p>demographic and SES variables: sex, age (% of >50 years old); education (% of primary school, secondary school, and terciary school or university); and health insurance coverage;</p>‡‡<p>Low PA: low Physical activity.</p
<p>Sample size, <i>n</i> = 180. Data are expressed as odds ratios ±95% confidence intervals (CI) as ...
<p>Sample size, <i>n</i> = 400. Data are expressed as odds ratios ±95% confidence intervals as asses...
<p>Multinomial regression model was applied to analyze risk factors of prediabetes and diabetes. Odd...
<p>Logistic regression model adjusted for cigarette smoking and alcohol consumption, level of leisur...
<p>AUC is the area under the receiver-operator characteristic curve. Odds ratios are displayed as od...
<p>Adjusted ORs (model 1) for diabetes were determined after adjusting for age, place, marital statu...
a<p>Estimated from separate logistic regression models including study group, age, sex, migration ba...
The number of people with diabetes is increasing all over the world. A misconception that diabetes i...
a<p>Set of independent variables: age, sex, BMI, smoking, diabetes mellitus, hypertension, hypertrig...
Background & Aim: Diabetes is one of the chronic diseases with no curative treatment; also, it is th...
This research evaluates the risk of diabetes among 581 men and women with factors such as age, ethni...
<p>Model 1: not adjusted</p><p>Model 2: adjusted for age, gender and BMI</p><p>Model 3: adjusted for...
Multivariable logistic regression analyses assessing the relationship between sociodemographic chara...
<p>Model 1: unadjusted.</p><p>Model 2: adjusted for age, gender, ethnicity.</p><p>Model 3: further a...
<p>Logistic regression analyses for the presence of diabetes according to resting heart rate.</p
<p>Sample size, <i>n</i> = 180. Data are expressed as odds ratios ±95% confidence intervals (CI) as ...
<p>Sample size, <i>n</i> = 400. Data are expressed as odds ratios ±95% confidence intervals as asses...
<p>Multinomial regression model was applied to analyze risk factors of prediabetes and diabetes. Odd...
<p>Logistic regression model adjusted for cigarette smoking and alcohol consumption, level of leisur...
<p>AUC is the area under the receiver-operator characteristic curve. Odds ratios are displayed as od...
<p>Adjusted ORs (model 1) for diabetes were determined after adjusting for age, place, marital statu...
a<p>Estimated from separate logistic regression models including study group, age, sex, migration ba...
The number of people with diabetes is increasing all over the world. A misconception that diabetes i...
a<p>Set of independent variables: age, sex, BMI, smoking, diabetes mellitus, hypertension, hypertrig...
Background & Aim: Diabetes is one of the chronic diseases with no curative treatment; also, it is th...
This research evaluates the risk of diabetes among 581 men and women with factors such as age, ethni...
<p>Model 1: not adjusted</p><p>Model 2: adjusted for age, gender and BMI</p><p>Model 3: adjusted for...
Multivariable logistic regression analyses assessing the relationship between sociodemographic chara...
<p>Model 1: unadjusted.</p><p>Model 2: adjusted for age, gender, ethnicity.</p><p>Model 3: further a...
<p>Logistic regression analyses for the presence of diabetes according to resting heart rate.</p
<p>Sample size, <i>n</i> = 180. Data are expressed as odds ratios ±95% confidence intervals (CI) as ...
<p>Sample size, <i>n</i> = 400. Data are expressed as odds ratios ±95% confidence intervals as asses...
<p>Multinomial regression model was applied to analyze risk factors of prediabetes and diabetes. Odd...
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