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

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

Association of alcohol intake and job strain (adjusted for age, sex and socioeconomic position) (N = 142 140).

<p>Association of alcohol intake and job strain (adjusted for age, sex and socioeconomic position) (N = 142 140).</p

Longitudinal associations between job strain at baseline and quitting smoking among baseline smokers (n = 9 975)¹.

1<p>Studies and follow-up times: Belstress (4–7 years), FPS (2–4 years), HeSSup (5 years), SLOSH (1–4 years), WOLF Norrland (3–7 years) and Whitehall II (3–9 years.).</p>2<p>Effect estimates from a mixed effects logistic model, adjusted for baseline age, sex and baseline socioeconomic position, with study as the random effect.</p

Associations of alcohol intake at baseline and job strain at follow-up, stratified by baseline job strain (n = 48 646)¹.

1<p>Studies and follow-up times: Belstress (4–8 years), FPS (2–4 years), HeSSup (5 years) and Whitehall II (3–9 years).</p>2<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>3<p>Incidence rate ratios (IRRs) from a modified Poisson model, adjusted for baseline age, sex and baseline socioeconomic position, with robust standard errors and study as the cluster variable.</p

Association of tobacco smoking and job strain (adjusted for age, sex and socioeconomic status) (N = 166 130).

<p>Association of tobacco smoking and job strain (adjusted for age, sex and socioeconomic status) (N  = 166 130).</p

Longitudinal associations between job strain and taking up smoking among baseline never- and ex-smokers (n = 42 049)¹.

1<p>Studies and follow-up times: Belstress (4–7 years), FPS (2–4 years), HeSSup (5 years), SLOSH (1–4 years), WOLF Norrland (3–7 years) and Whitehall II (3–9 years.).</p>2<p>Effect estimates from a mixed effects logistic model, adjusted for baseline age, sex and baseline socioeconomic position, with study as the random effect.</p