3 research outputs found

    Odds ratio with 95% confidence interval of diabetes according to overtime work hours stratified by participant characteristics.

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    <p>Abbreviations: BMI, body mass index; Ref, reference.</p><p>*<i>P</i> for trend obtained from multiple logistic regression analysis by assigning 23, 62, 90, and 100 to categories of overtime work.</p>†<p>Adjusted for age (continuous), sex, company, smoking status (never, past, or current), and BMI (kg/m<sup>2</sup>, continuous) in 4 companies (n = 41,081).</p>‡<p>48 women in 1 company were excluded in this analysis due to no diabetic patients.</p>§<p>Adjusted for age (continuous), sex, company, smoking status (never, past, or current), BMI (kg/m<sup>2</sup>, continuous), alcohol use (non-drinker, drinker consuming >0 to <23 g, 23 to <46 g, or ≥46 g of ethanol per day), sleep duration (<6 hours, 6 to <7 hours, or ≥7 hours per day), physical activity (<150 min or ≥150 min per week), family history of diabetes (yes or no), shift work (yes or no), department (field work or non-field work), and job position (high or low) in 1 company (n = 33,807).</p

    Subject characteristics according to overtime work hours.

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    <p>Data are adjusted for age and sex, and presented as mean ± standard error unless otherwise specified.</p><p>*P for trend was obtained from linear regression for continuous variables, or from logistic regression for categorical variables. by assigning 23, 62, 90, and 100 to categories of overtime work.</p>†<p>n = 33,807 in one company.</p>‡<p>Defined as ≥150 min per week.</p

    Odds ratio (OR) and 95% confidence interval of diabetes<sup>*</sup> according to overtime work hours.

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    <p>Abbreviations: OR, odds ratio; Ref, reference.</p><p>*Defined as fasting glucose ≥126 mg/dL (7.0 mmol/l), HbA1c ≥6.5% (48 mmol/mol), or current use of anti-diabetic drug.</p>†<p><i>P</i> for quadratic trend obtained from multiple logistic regression analysis by assigning 23, 62, 90, and 100 to categories of overtime work.</p>‡<p>Model 1 adjusted for age (continuous), sex, and company in 4 companies (n = 40,861).</p>§<p>Model 2 adjusted for factors in model 1 and smoking status (never, past, or current) in 4 companies (n = 40,861).</p>||<p>Model 3 adjusted for factors in model 2 and body mass index (kg/m<sup>2</sup>, continuous) in 4 companies (n = 40,861).</p>¶<p>Model 1 adjusted for age (continuous) and sex in 1 company (n = 33,807).</p><p>**Model 2 adjusted for factors in model 1 plus smoking status (never, past, or current), body mass index (kg/m<sup>2</sup>, continuous), alcohol use (non-drinker, drinker consuming >0 to <23 g, 23 to <46 g, or ≥46 g of ethanol per day), family history of diabetes (yes or no), shift work (yes or no), department (field work or non-field work), and job position (high or low) in 1 company (n = 33,807).</p>††<p>Model 3 adjusted for factors in model 2 and sleep duration (<6 hours, 6 to <7 hours, or ≥7 hours per day) in 1 company (n = 33,807).</p>‡‡<p>Model 4 adjusted for factors in model 3 and leisure time physical activity (<150 min or ≥150 min per week) in 1 company (n = 33,807).</p
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