Specific indirect effects for the multiple mediation models.

<p>* <i>P</i> < 0.05</p><p>^n.s.not significant</p><p>Specific indirect effects for the multiple mediation models.</p

Single-level multiple mediation model (1→1→1).

<p>Single-level multiple mediation model (1→1→1).</p

Flow chart of the study population.

<p>The complete BELFIT population included 2,363 men. Inclusion criteria for the present study (availability of resting heart rate and diurnal heart rate data from ECG recordings, no history of coronary heart disease and no medical treatment for coronary heart disease or arterial hypertension) reduced the number to 597 participants, with 439 men having completed the exercise test on a bicycle ergometer.</p

Description of baseline characteristics in 439 men.

<p>SD, standard deviation; BMI, body mass index; IQR, inter-quartile range.</p><p>Description of baseline characteristics in 439 men.</p

Associations between continuous and categorized resting clinical and average continuously measured 24-hour ambulatory heart rate and all-cause mortality in 439 men.

<p>Significant results at the 0.05 level are in bold</p><p>^a Cox proportional hazards regression analysis: adjusted for age</p><p>^b Cox proportional hazards regression analysis: adjusted for age, education, body mass index, leisure time physical activity, smoking, systolic blood pressure, total cholesterol, occupational physical activity and cardiorespiratory fitness</p><p>^c Cox proportional hazards regression analysis: adjusted for age, education, body mass index, leisure time physical activity, smoking, systolic blood pressure, total cholesterol, occupational physical activity, cardiorespiratory fitness and resting clinical heart Rate/ diurnal heart rate, respectively.</p><p>Associations between continuous and categorized resting clinical and average continuously measured 24-hour ambulatory heart rate and all-cause mortality in 439 men.</p

Adjusted Odds Ratios (95% CI) for the Association Between Job Strain and Diabetes (N = 44,818 in All Models), the IPD-Work Consortium, 1984–2003.

<p>Adjusted Odds Ratios (95% CI) for the Association Between Job Strain and Diabetes (N  =  44,818 in All Models), the IPD-Work Consortium, 1984–2003.</p

Participant Characteristics According to Study, the IPD-Work Consortium, 1984–2003.

<p>Participant Characteristics According to Study, the IPD-Work Consortium, 1984–2003.</p

Longitudinal associations between job strain and reducing alcohol intake to moderate or no alcohol, among baseline excessive drinkers (n = 4 981)¹².

1<p>Excessive drinker: an individual who drinks more than recommended amounts of alcohol (intermediate or heavy drinker).</p>2<p>Studies and follow-up times: Belstress (4–7 years), FPS (2–4 years), HeSSup (5 years) and Whitehall II (3–9 years.).</p>3<p>Odds ratios (ORs) from a mixed effects logistic model, adjusted for baseline age, sex and baseline socioeconomic position, with study as the random effect.</p

Participant and study summary.

<p>SD: standard deviation.</p>1<p>Study acronyms: DWECS: Danish Work Environment Cohort Study; FPS: Finnish Public Sector Study; HeSSup: Health and Social Support; HNR: Heinz Nixdorf Recall study; IPAW: Intervention Project on Absence and Well-being; POLS: Permanent Onderzoek Leefsituatie; PUMA: Burnout, Motivation and Job Satisfaction study; WOLF: Work Lipids and Fibrinogen. ² Participants with complete data on job strain, age, sex and socioeconomic position.</p>2<p>Moderate drinking (women: 1–14 drinks/week, men: 1–21 drinks/week); intermediate drinking (women: 15–20 drinks/week, men: 22–27 drinks/week); heavy drinking (women: > = 21 drinks/wk, men: > = 28 drinks/week).</p

Longitudinal associations between job strain and taking up excessive drinking¹ among baseline moderate and non-drinkers (n = 43 665)².

1<p>Excessive drinker: an individual who drinks more than recommended amounts of alcohol (intermediate or heavy drinker).</p>2<p>Studies and follow-up times: Belstress (4–7 years), FPS (2–4 years), HeSSup (5 years) and Whitehall II (3–9 years.).</p>3<p>Odds ratios (ORs) from a mixed effects logistic model, adjusted for baseline age, sex and baseline socioeconomic position, with study as the random effect.</p