Influence of lifestyle factors on long-term sickness absence among female healthcare workers: a prospective cohort study.

BACKGROUND: While previous research has indicated that unhealthy lifestyle is associated with sickness absence, this association may be confounded by occupational class. To avoid this potential confounding, we examined the association between lifestyle factors (smoking, leisure-time physical activity and body mass index) and the occurrence of long-term sickness absence (LTSA; more than three consecutive weeks of registered sickness absence) within a cohort of female health care workers. METHODS: A total of 7401 employees filled out a questionnaire about their health behaviour and work environment. Subsequently, they were followed for 12 months in a national register on social transfer payments (DREAM register). Cox's regression analyses, applied to grouped survival data, were used to estimate the prospective association between these lifestyle factors and LTSA. RESULTS: We found significant associations between all three lifestyle factors and risk of LTSA. The strongest lifestyle factor was current smoking, which increased the risk of LTSA by 35% (95% CI: 1.17-1.54) compared to non- smokers. For body mass index, the risk of LTSA increased with the distance away from 18.5 kg/m2 in either direction (below 18.5 kg/m2: HR: 1.32 per kg/m2; 95% CI. 1.06-1.66; above 18.5 kg/m2: HR: 1.04 per kg/m2; 95% CI: 1.03-1.05). In other words, the more underweight or overweight the women were, the higher the risk of LTSA. A dose-response relationship was found between LTSA and leisure-time physical activity (trend test p-value = 0.01), so that increasing physical activity results in decreasing risk of LTSA. CONCLUSION: In female healthcare workers, an unhealthy lifestyle (too high/ too low body mass index, smoking, and low physical activity) is associated with higher risk of LTSA.

Do colleagues influence our lifestyle: the matter of smoking, body mass index and leisure-time physical activity?

OBJECTIVE: Previous research has indicated that health behaviours tend to cluster in social networks, but few have studied the cluster effect in workgroups. We examined the effect of workgroups on current state and change in three indicators of health behaviours (smoking, body mass index (BMI) and physical activity). Further, we examined whether health behaviours of the respondents at group level predicted lifestyle changes. METHODS: In a prospective cohort (n=4730), employees from 250 workgroups in the Danish eldercare sector answered questionnaires at baseline (2005) and follow-up (2006). Multilevel regression models were used to examine the effect of workgroups. RESULTS: Workgroups accounted for 6.49% of the variation in smoking status, 6.56% of amount smoked and 2.62% of the variation in current BMI. We found no significant workgroup clustering in physical activity or lifestyle changes. Furthermore, changes in smoking status (cessation) and weight gain were seen in workgroups with high percentage of smokers and high levels of BMI. CONCLUSION: We found modest evidence for clustering of some health behaviours within workgroups, which could be due to social learning or selection into and out of workgroups. Future health promotion programmes at worksites should recognize the potential clustering of lifestyle behaviours within workgroups.

Shiftwork and changes in health behaviors.

OBJECTIVE: We studied the associations between exposure to shiftwork and changes in health behaviors. METHODS: We used questionnaire data from 2062 women enrolled in a cohort study a few weeks before graduating as health care helpers/assistants. We analyzed whether shiftwork in 2005 was associated with changes in smoking habits, level of physical activity, or weight from 2004 to 2006. RESULTS: Fixed nightwork was associated with higher odds of smoking relapse, lower odds of smoking cessation, and lower odds of becoming physically active. Two and three shifts with nightwork were associated with lower odds of weight gain. Fixed evening work and two shifts without nightwork were not associated with changes in health behaviors. CONCLUSION: Changes in health behaviors may mediate some of the association between fixed nightwork and health outcomes.