Abstract

Health effects of smoking and alcohol consumption are well-documented, but further research about associations with the wellbeing of workers is required. The WHO stated that there is more to health than the absence of disease and such an approach leads to an increased emphasis on wellbeing and quality of life. The approach to wellbeing adopted here is to consider it in a holistic way which covers health, functionality and affective states. The present study involved a survey of 1392 public sector workers from South Wales, UK (74.3% female; mean age: 43.3 years, range 17-72 years). 39.3% of the sample were smokers (mean number of cigarettes a day = 11.28, range 1-40). The average weekly alcohol consumption was 9.2 units with a range of 0-100. 32.3 % consumed more than the recommended safe level (> 14 units), and 18.4% were non-consumers. Multi-variate analyses, adjusting for established predictors of the outcomes (demographics, job characteristics and psychosocial factors) showed that smokers reported more job satisfaction, had fewer injuries but had more health problems (mostly respiratory). The interaction between smoking and level of alcohol consumption was not significant. Alcohol consumption showed two different profiles of effects. Higher alcohol intake was associated with more risk-taking and cognitive failures at work. In contrast, consumption of alcohol below the recommended safe threshold (14 units/week) was associated with higher job satisfaction, fewer physical symptoms and reduced fatigue and depression. Further research using longitudinal or intervention designs is now required to elucidate underlying mechanisms and practical implications of smoking and drinking alcohol.

Highlights

  • This report was commissioned by the Department of Health

  • This report focuses on factors that are amenable to policy intervention

  • We know that genes and very early childhood experiences are critical to wellbeing in later life

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Summary

Tables in main report

Affect refers to the experience of emotion or feeling. Positive affect indicates positive feelings such as happiness, and negative affect indicates negative feelings such as sadness. It is generally not possible to unpack causal direction in associations using cross-sectional survey data. A hedonic perspective on wellbeing focuses on affect, and relates to experience of pleasure, happiness, and the avoidance of pain. An odds ratio describes the strength of association between two binary variables It represents the ratio of the estimated odds of an event occurring in one group to the estimated odds of it occurring in another group. A p value of less than 5% is conventionally taken to indicate a statistically significant result (p

Notes to tables
Summary
Introduction
Identifying surveys
Identifying analyses of survey data
Measures of subjective wellbeing
Identifying predictor variables: factors associated with subjective wellbeing
Factors associated with wellbeing
Results
Gender
Identity: ethnicity and sexuality
Education
Employment status and working conditions
Household income and managing financially
Housing and neighbourhood
Trends in subjective wellbeing
Discussion: existing wellbeing survey data
The Millennium Cohort Study: early childhood
Child self-reported happiness
Child self-reported lack of worry
Relationship between happiness and worry
Parent perspectives of their child’s wellbeing
Associations with subjective wellbeing
Predictors of wellbeing in children: happiness
Predictors of wellbeing in children: not worrying
Predictors of parent perceptions of child wellbeing
Discussion: wellbeing in early childhood
Understanding Society: young people
Subjective wellbeing in young people
Predictors of wellbeing in young people
Discussion: wellbeing in young people
Understanding Society: adults
Wellbeing in adulthood
Predictors of wellbeing in adults
Discussion: wellbeing in adults
Health Survey for England
Wellbeing among men and women
Predictors of wellbeing among men and women
Discussion: wellbeing among men and women
Predictors considered for analysis
Unadjusted associations with child feeling happy
Predictors of not worrying in binary logistic regression
Unadjusted associations with subjective wellbeing in young people
Unadjusted associations with subjective wellbeing in adults
Predictors of subjective wellbeing in adults in multiple linear regression
Unadjusted associations with subjective wellbeing in women

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