Association between passive jobs and low levels of leisure-time physical activity: the Whitehall II cohort study.

BACKGROUND: There is mixed evidence on the association between psychosocial work exposures (ie, passive jobs) and physical activity, but previous studies did not take into account the effect of cumulative exposures nor did they examine different trajectories in exposure. We investigated whether exposure to passive jobs, measured three times over an average of 5 years, is associated with leisure-time physical activity (LTPA). METHODS: Data were from working men (n = 4291) and women (n = 1794) aged 35-55 years who participated in the first three phases of the Whitehall II prospective cohort. Exposure to passive jobs was measured at each phase and LTPA at phases 1 and 3. Participants were categorised according to whether or not they worked in a passive job at each phase, leading to a scale ranging from 0 (non-passive job at all three phases) to 3 (passive job at all three phases). Poisson regression with robust variance estimates were used to assess the prevalence ratios of low LTPA. RESULTS: An association was found in men between exposure to passive jobs over 5 years and low LTPA at follow-up, independently of other relevant risk factors. The prevalence ratio for low LTPA in men was 1.16 (95% CI 1.01 to 1.33) times greater for employees with three reports of passive job than for those who had never worked in passive jobs. No association was observed in women. CONCLUSION: This study provides evidence that working in passive jobs may encourage a passive lifestyle in men.

The policies-inequality feedback and health: the case of globalisation.

BACKGROUND: Major research contributions aimed at explaining the association between economic inequality and health have concentrated on the plausibility of the material deprivation and psychosocial factors pathways. However, little work has analysed the reciprocal associations between public policies and inequality and their effect on health. METHODS: A conceptual framework was first proposed explaining how the public policies-inequality feedback can influence health outcomes via material deprivation and psychosocial factors. Then, a critical review of the literature was conducted and an analysis of the health effects of the globalisation-inequality feedback as a case study. RESULTS: Different bodies of evidence seem to give support to the hypothesis of a public policies-inequality feedback influencing health-related outcomes. This seems to be particularly true when considering globalisation policies. Since the widespread adoption of the so-called "Washington Consensus", economic inequalities have sharply increased worldwide. The rise in inequality has, in turn, further consolidated the adoption of these policies through an increasing "democratic deficit". The reciprocal effects of globalisation and inequality have produced adverse health outcomes between and within societies through both material deprivation and psychosocial stress. CONCLUSIONS: Public policies and economic inequality are inextricably interrelated and can affect health through multiple, indirect, reciprocal pathways.

Physical and cognitive function in midlife: reciprocal effects? A 5-year follow-up of the Whitehall II study.

BACKGROUND: Cognitive and physical functions are closely linked in old age, but less is known about this association in midlife. Whether cognitive function predicts physical function and whether physical function predicts cognitive function were assessed in middle-aged men and women. METHODS: Data were from Whitehall II, an ongoing large-scale, prospective occupational cohort study of employees from 20 London-based white-collar Civil Service departments. The participants, 3446 men and 1274 women aged 45-68 years at baseline (1995-1997), had complete data on cognitive performance and physical function at both baseline and follow-up (2002-2004). A composite cognitive score was compiled from the following tests: verbal memory, inductive reasoning (Alice Heim 4-I), verbal meaning (Mill Hill), phonemic and semantic fluency. Physical function was measured using the physical composite score of the short form (SF-36) scale. Average follow-up was 5.4 years. RESULTS: Poor baseline cognitive performance predicted poor physical function at follow-up (beta = 0.08, p<0.001), while baseline physical function did not predict cognitive performance (beta = 0.01, p = 0.67). After full adjustment for sociodemographic, behavioural and biological risk factors, baseline cognitive performance (beta = 0.04 p = 0.009) remained predictive of physical function. CONCLUSION: Despite previous work indicating that the association between physical and cognitive performance may be bidirectional, these findings suggest that, in middle age, the direction of the association is predominantly from poor cognition to poor physical function.

Associations of C-reactive protein and interleukin-6 with cognitive symptoms of depression: 12-year follow-up of the Whitehall II study.

BACKGROUND: A lack of longitudinal studies has made it difficult to establish the direction of associations between circulating concentrations of low-grade chronic inflammatory markers, such as C-reactive protein and interleukin-6, and cognitive symptoms of depression. The present study sought to assess whether C-reactive protein and interleukin-6 predict cognitive symptoms of depression or whether these symptoms predict inflammatory markers. METHOD: In a prospective occupational cohort study of British white-collar civil servants (the Whitehall II study), serum C-reactive protein, interleukin-6 and cognitive symptoms of depression were measured at baseline in 1991-1993 and at follow-up in 2002-2004, an average follow-up of 11.8 years. Symptoms of depression were measured with four items describing cognitive symptoms of depression from the General Health Questionnaire. The number of participants varied between 3339 and 3070 (mean age 50 years, 30% women) depending on the analysis. RESULTS: Baseline C-reactive protein (beta=0.046, p=0.004) and interleukin-6 (beta=0.046, p=0.005) predicted cognitive symptoms of depression at follow-up, while baseline symptoms of depression did not predict inflammatory markers at follow-up. After full adjustment for sociodemographic, behavioural and biological risk factors, health conditions, medication use and baseline cognitive systems of depression, baseline C-reactive protein (beta=0.038, p=0.036) and interleukin-6 (beta=0.041, p=0.018) remained predictive of cognitive symptoms of depression at follow-up. CONCLUSIONS: These findings suggest that inflammation precedes depression at least with regard to the cognitive symptoms of depression.

Cumulative exposure to high-strain and active jobs as predictors of cognitive function: the Whitehall II study.

OBJECTIVES: A high-strain job (a combination of high job demands and low job control) is expected to increase the risk of health problems, whereas an active job (high demands and high control) can be hypothesised to be associated with a greater capacity to learn. We tested associations between high-strain and active jobs and cognitive function in middle-aged men and women. METHODS: Data on 4146 British civil servants (2989 men and 1157 women) aged 35-55 years at baseline came from the Whitehall II study. Cumulative exposure to both high-strain and active jobs was assessed at phases 1 (1985-1988), 2 (1989-1990) and 3 (1991-1993). Cognitive performance was assessed at phases 5 (1997-1999) and 7 (2003-2004) using the following tests: verbal memory, inductive reasoning (Alice Heim), verbal meaning (Mill Hill), phonemic and semantic fluency. Analyses were adjusted for age, sex and employment grade. RESULTS: Longer exposure to high job strain and shorter exposure to active jobs were associated with lower scores in most of the cognitive performance tests. However, these associations disappeared on adjustment for employment grade. Phonemic fluency was an exception to this pattern. Associations between exposure to an active job and phonemic fluency at both follow-up phases were robust to adjustment for employment grade. However, there was no association between exposure to active jobs and change in phonemic fluency score between the follow-up phases after adjustment for employment grade. CONCLUSIONS: In these data, associations between cumulative exposure to high-strain or active jobs and cognition are largely explained by socioeconomic position.

Relationship between job strain and smoking cessation: the Finnish Public Sector Study.

AIMS: To examine whether job strain (ie, excessive demands combined with low control) is related to smoking cessation. METHODS: Prospective cohort study of 4928 Finnish employees who were baseline smokers. In addition to individual scores, coworker-assessed work unit level scores were calculated. A multilevel logistic regression analysis, with work units at the second level, was performed. RESULTS: At follow-up, 21% of baseline smokers had quit smoking. After adjustment for sex, age, employer and marital status, elevated odds ratios (ORs) for smoking cessation were found for the lowest vs the highest quartile of work unit level job strain (OR 1.43, 95% CI 1.17 to 1.75) and for the highest vs the lowest quartile of work unit level job control (OR 1.61, 95% CI 1.31 to 1.96). After additional adjustment for health behaviours and trait anxiety, similar results were observed. Further adjustment for socioeconomic position slightly attenuated these associations, but an additional adjustment for individual strain/control had little effect on the results. The association between job strain and smoking cessation was slightly stronger in light than in moderate/heavy smokers. The results for individual job strain and job control were in the same direction as the work unit models, although these relationships became insignificant after adjustment for socioeconomic position. Job demands were not associated with smoking cessation. CONCLUSIONS: Smoking cessation may be less likely in workplaces with high strain and low control. Policies and programs addressing employee job strain and control might also contribute to the effectiveness of smoking cessation interventions.

Unemployment and smoking: does psychosocial stress matter?

AIM: Research indicates that cigarette smoking is strongly associated with unemployment. However, little is known regarding the underlying mechanisms explaining this relationship. The aim of this study is to examine the role of psychosocial factors as potential mediators between unemployment and smoking. PARTICIPANTS: 4002 non-institutionalised, civilian adults living in the Veneto region of Italy. DESIGN: The study was based on a computer assisted telephone interview (CATI). Linear by linear association tests were used to examine bivariate associations between unemployment, psychosocial factors, and smoking. Logistic regression models were developed to analyse the relationship between unemployment and smoking when adjusting for psychological factors. RESULTS: The odds of smoking among the unemployed was 2.78 times (95% confidence interval (CI) 1.68 to 4.62) greater than that of higher managers and professionals controlling for demographic factors. The relationship between unemployment and smoking weakened (odds ratio 2.41, 95% CI 1.43 to 4.05) when psychosocial factors were entered into the analysis. The odds of the inability to control important things in life was 1.39 times (95% CI 1.11 to 1.75) greater, and the odds of emotional isolation was 1.45 times (95% CI 1.06 to 1.99) greater, among smokers compared to non-smokers controlling, for all other factors. CONCLUSIONS: Given that the data were cross sectional, firm conclusions cannot be drawn regarding the causal pathway connecting unemployment and smoking. However, this study suggests that psychosocial factors such as the inability to control and emotional isolation may be plausible mediators for the relationship.