Work stress, weight gain and weight loss: evidence for bidirectional ...

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Jan 17, 2006 - 1Finnish Institute of Occupational Health, University of Helsinki, Helsinki, ... factors for cardiovascular disease,1–4 but the extent to which.
International Journal of Obesity (2006) 30, 982–987 & 2006 Nature Publishing Group All rights reserved 0307-0565/06 $30.00

ORIGINAL ARTICLE Work stress, weight gain and weight loss: evidence for bidirectional effects of job strain on body mass index in the Whitehall II study M Kivima¨ki1, J Head2, JE Ferrie2, MJ Shipley2, E Brunner2, J Vahtera1 and MG Marmot2 1 Finnish Institute of Occupational Health, University of Helsinki, Helsinki, Finland and 2International Centre for Health and Society, Department of Epidemiology and Public Health, University College London, London, UK

Objective: Previous research has focused on overall associations between work stress and body mass index (BMI) ignoring the possibility that stress may cause some people to eat less and lose weight and others to eat more. Using longitudinal data, we studied whether work stress induced weight loss in lean individuals and weight gain in overweight individuals. Design: Prospective cohort study. Subjects: A total of 7965 British civil servants (5547 men and 2418 women) aged 35–55 at study entry (The Whitehall II study). Measurements: Work stress, indicated by the job strain model and measured as job control, job demands and job strain, was assessed at baseline and BMI at baseline and at 5-year follow-up. Results: In men, the effect of job strain on weight gain and weight loss was dependent on baseline BMI (Pp0.03). In the leanest quintile (BMIo22 kg/m2) at baseline, high job strain and low job control were associated with weight loss by follow-up, whereas among those in the highest BMI quintile (427 kg/m2), these stress indicators were associated with subsequent weight gain. No corresponding interaction was seen among women. Conclusion: Inconsistent findings reported by previous studies of stress and BMI have generally been interpreted to indicate the absence of an association. In light of our results, the possibility of differential effects of work stress should also be taken into account. International Journal of Obesity (2006) 30, 982–987. doi:10.1038/sj.ijo.0803229; published online 17 January 2006 Keywords: psychosocial factors; work stress; body mass index; weight gain; weight loss

Introduction Work stress and high body mass index (BMI) are both risk factors for cardiovascular disease,1–4 but the extent to which they are associated with each other remains unclear. According to a dominant theoretical model, persistent work stress is generated by a combination of high job demands and low control at work: job strain.5 While some studies have found an association between high strain,6,7 high demands,6,8,9 low control,3,10 and increased BMI, other studies have reported no associations between these psychosocial characteristics of the work environment and BMI,11–14 and, in some samples, high strain or low control were

Correspondence: Professor M Kivima¨ki, Finnish Institute of Occupational Health, Topeliuksenkatu 41 aA, FIN-00250 Helsinki, Finland. E-mail: [email protected] Received 4 June 2005; revised 18 October 2005; accepted 23 November 2005; published online 17 January 2006

associated with lower BMI.15,16 Associations of job strain and its components with BMI have been found to vary by sex, but not in a consistent manner17 and stress has also been proposed to be linked with BMI beyond the work context.18 Mixed findings on work stress and BMI may reflect a failure to take into account the possibility that stress may cause some people to eat more, but others to eat less.19 Dalman et al.20 demonstrated that eating high fat and carbohydrate caloric content ‘comfort’ food may help in reducing biological stress system activity and concomitant negative emotions during chronic stress. The tendency to eat such energy-dense foods under stress is likely to contribute to weight gain.18,21 Both physical inactivity and lack of time to prepare healthy meals further increase weight gain among people with chronic stress.18,22 On the other hand, chronic stress may also trigger physiological processes which lead to weight loss,20,23 in particular, among individuals for whom chronic work stress is associated with suppressed appetite and increased physical activity.18 As sex is a factor that

Work stress and BMI M Kivima¨ki et al

983 appears to confer differential sensitivity to stress and may also affect choice of coping strategy,24–28 it is important to examine stress effects on eating and weight change separately for men and women. In this report from the Whitehall II study, we examined the association between work stress and BMI with particular attention to the hypothesis that chronic work stress may induce weight gain in some individuals but weight loss in others. If such individual differences are stable and accumulate, then the tendency to weight gain under stress is likely to be more common among people with high BMI while among those with low BMI the tendency will be towards further weight loss.

Methods Participants The target population for the Whitehall II study is all London-based office staff working in 20 Civil Service departments during recruitment in 1985–1988.29 With a participation rate of 73%, the baseline cohort consisted of 10 308 civil servants: 6895 men and 3413 women aged 35–55 years. The true participation rate was probably higher, however, because around 4% of those invited had, in fact, moved employment before the study and were not eligible for inclusion. Baseline screening and a follow-up screening in 1991–1993 included the assessment of BMI. This study focused on those 5547 men and 2418 women with data on job strain at baseline and BMI at baseline and follow-up. The 2343 employees excluded had slightly higher BMI (25.0 vs 24.5 kg/m2), were older (45.0 vs 44.3 years), more likely to be women (42 vs 36%) and in the lowest employment grade (36 vs 19%) (all P-valueso0.001). Measurements Assessment of work stressors was based on a modified Job Content Questionnaire comprised of the job demand scale (4 items, Cronbach’s a ¼ 0.67) and job control scale (15 items, a ¼ 0.84).4 Job demand and job control scores are standardized mean scores from the respective scales. Job strain is a standardized score derived from the equation: job demand score – job control score,30 a continuous variable of highly predictive validity for coronary heart disease in the Whitehall II study.31 We repeated the analyses with a more commonly used binary variable defining job strain as a job demand score above the median combined with a job control score below the median. Other baseline characteristics were sex, age (years), employment grade (1 ¼ administrative, 2 ¼ professional, 3 ¼ clerical) and BMI, calculated as weight in kilograms divided by height in meters squared. Weight was measured with all items of clothing removed except underwear. A Soehnle scale was used to read weight to the nearest 0.1 kg. If the reading alternated between two readings 40.1 kg apart with the participant standing still, the higher reading was recorded. Height was

measured to the nearest mm using a stadiometer with the participant standing completely erect with the head in the Frankfurt plane.32 Assessment of BMI was repeated at followup. Weight gain was indicated if BMI increased and weight loss if BMI decreased between the measurements.

Data analysis The associations between each work stressor (high strain, high demands and low control) and BMI at follow-up were examined with separate linear regression models including age, grade and BMI at baseline as covariates. The associations between each work stressor and weight gain or loss were examined by using logistic regression analysis. Adjustments were made for age, grade and BMI at baseline. We tested the effect of an interaction between each stressor and baseline BMI on weight gain and weight loss by including the corresponding interaction term in regression models that already included the main effects. To illustrate the form of significant interactions, the associations between stressors and weight gain/weight loss were calculated separately for the top and bottom quintiles of baseline BMI in addition to the combined three middle quintiles. A significant interaction supports our hypothesis that the work stressor predicts weight gain in the top quintile (i.e., in overweight subjects), weight loss in the bottom quintile (in lean subjects), and is not associated with weight change in the middle quintiles. In addition, we tested potential interaction between employment grade and baseline BMI on weight gain and weight loss, as employment grade is associated with metabolic syndrome in the Whitehall II study.33 All analyses were conducted separately for men and women. All analyses were performed with the use of SAS software, version 8.2 (SAS Institute).

Results Table 1 presents sample characteristics by sex. On average, the men were younger than the women and a greater proportion were employed in higher-grade jobs. Men also had higher job demands, higher job control, lower job strain, and lower BMI at baseline and follow-up (Po0.001). In both sexes, BMI increased over the 5-year-period between the two Phases (Po0.0001), 0.6 kg/m2 among men and 1.1 kg/m2 among women. Table 2 shows the associations between work stressors at baseline and BMI at follow-up after adjustment for age, grade and BMI at baseline. In men, no association between stressors and subsequent BMI was found. In women, higher job demands were weakly associated with higher BMI at follow-up. Table 3 presents results of the tests of interaction between stressors and baseline BMI on weight gain and weight loss (as only one woman and four men had exactly the same BMI at baseline and at follow-up, the P-values were similar for the International Journal of Obesity

Work stress and BMI M Kivima¨ki et al

984 Table 1

Sample characteristics: the Whitehall II study



Baseline (1985–1988) Age (years) Grade Administrative Professional Clerical



Mean (s.e.)


44.0 (0.1)

2199 2923 425

5547 BMI (kg/m2) BMI category (kg/m2) o22 1042 22–27 3519 427 986 Job strain score Job demand score Job control score Follow-up (1991–1993) BMI (kg/m2)



Mean (s.e.)


2418 45.0 (0.1) 39.6 308 52.7 1033 7.7 1077

24.5 (0.1)

12.7 42.7 44.6

2418 24.6 (0.1) 18.8 659 63.4 1224 17.8 535

27.3 50.6 22.1

5547 0.08 (0.01) 5547 60.4 (0.3) 5547 68.8 (0.2)

2418 0.18 (0.02) 2418 53.7 (0.4) 2418 58.5 (0.3)


2418 25.7 (0.1)

25.1 (0.1)

Table 2 Linear regression analyses of work stressors at baseline on BMI at follow-up adjusted for age, employment grade and BMI at baseline Stress indicator

Job strain Job demands Job control

Men (N ¼ 5547)

Women (N ¼ 2418)


B (s.e.)


Ba (s.e.)


0.005 (0.021) 0.026 (0.022) 0.028 (0.026)

0.82 0.23 0.28

0.062 (0.042) 0.099 (0.046) 0.013 (0.048)

0.14 0.03 0.79

The Whitehall II study. aRegression coefficient refers to change in BMI per 1 s.d. increase in the standardized stress score.

Table 3 Interaction between work stressors and BMI at baseline on weight gain/weight lossa by follow-up Stress indicator

Men (N ¼ 5547)

Women (N ¼ 2418)

No. with weight gain No. with weight loss

3924 1619

1848 569

Interaction term baseline BMI and Job strain Job demands Job control

P-valueb 0.05 0.98 0.02

P-valueb 0.66 0.60 0.97

The Whitehall II Study. aBased on change in BMI between baseline and followup. As only five participants had exactly the same BMI at both occasions, the P-values were similar for the tests examining weight gain and weight loss. bAll P-values were computed from regression analyses for weight gain/weight loss that included adjustment for age and employment grade at baseline.

tests examining interaction for weight gain and weight loss and are therefore presented only once). In men, the interactions of baseline BMI with job strain, treated as a continuous variable, and job control were statistically significant. No interaction was found for job demands in International Journal of Obesity

men or for any work stressors among women. Repeating the analysis with the cruder dichotomous job strain variable also failed to provide significant interaction (P ¼ 0.25 in men and P ¼ 0.60 in women). To illustrate the significant interactions, the effects of high strain and low job control as predictors of weight gain and weight loss are presented by baseline BMI level in Table 4. The pattern was the opposite to that of the regression towards mean. Among the 986 men who already had high BMI at baseline (427 kg/m2, the top quintile), higher job strain and lower job control were associated with greater likelihood of weight gain, a 1 s.d. increase in job strain or decrease in job control being related to an odds ratio of 1.2 (P ¼ 0.006 and 0.10, respectively). In contrast, higher strain and lower control were associated with a higher likelihood of weight loss among the 1042 men with low baseline BMI (o22 kg/m2, the bottom quintile). The corresponding odds ratios were 1.1 (P ¼ 0.07) and 1.3 (P ¼ 0.002), respectively. Among the 3519 men with intermediate BMI at baseline (between 22 and 27 kg/m2), no association between job strain, job control, weight gain and weight loss was found. There was no interaction between employment grade and baseline BMI on weight gain or weight loss (P ¼ 0.96 in men; P ¼ 0.09 in women).

Discussion This prospective study suggests that work stress, as indicated by job strain and low job control, increases the likelihood of weight gain among men with a higher BMI, but seems to predict weight loss among lean men who have no need for weight reduction. In contrast to these bidirectional effects, there was some evidence of a prospective association between work stress and increased BMI in women. Our investigation is based on a large well-characterized cohort of British employees and a prospective study design with an average follow-up of 5 years. A recent review concluded that evidence does not support a consistent association between job strain and BMI and this conclusion seems also to apply to studies that were not included in the review.17 Data from employees in New York City public and private sector worksites revealed no association between change in job demands or job control, the components of job strain, and change in overweight.14 Similarly, a Finnish study of industrial employees found no association between job strain, job demands and subsequent BMI, but low job control predicted a modest increase in BMI during a 10-year follow-up.3 Our findings of bidirectional effects for work stress in men raise the possibility that the overall null associations between work stress and BMI observed in previous studies represent the canceling out of these opposing relationships. Existing physiological models, which describe plausible mechanisms indicate that work stress may result in either

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985 Table 4

Logistic regression analyses of weight gain and weight lossa by follow-up on job strain and job control among men by BMI category at baseline

Outcomea Stress indicator

Bottom quintile in baseline BMIb (N ¼ 1042)

Middle quintiles in baseline BMIb (N ¼ 3519)

Top quintile in baseline BMIb (N ¼ 986)

Odds ratio (95% CI)


Odds ratio (95% CI)


Odds ratio (95% CI)


Weight gain No. with weight gain High strainc Low controlc

773 0.88 (0.76–1.01) 0.75 (0.63–0.90)

0.07 0.002

2484 1.00 (0.93–1.08) 0.94 (0.86–1.03)

0.98 0.19

667 1.22 (1.06–1.41) 1.15 (0.97–1.37)

0.006 0.10

Weight loss No. with weight loss High strainc Low controlc

269 1.14 (0.99–1.32) 1.33 (1.11–1.59)

0.07 0.002

1031 1.00 (0.93–1.08) 1.07 (0.97–1.17)

0.98 0.18

319 0.82 (0.71–0.94) 0.87 (0.73–1.03)

0.006 0.10

Odds ratios and 95% confidence intervals are adjusted for age, grade and BMI at baseline. The Whitehall II Study. aBased on change in BMI between baseline and follow-up. bOur hypothesis (bold) was that eating less would be a more common response to stress among lean men with baseline BMIo22 kg/m2 (the bottom quintile), eating more would be more common among overweight men with baseline BMI427 kg/m2 (the top quintile) and that there would be no consistent weight change in either direction among others with more normal weight with BMI between 22 and 27 kg/m2. cStandardized score, odds ratio relates to 1 s.d. change in stress indicator.

weight gain or weight loss. On one hand, a stress-induced increase in glucocorticoid levels is assumed to increase ingestion of comfort food,20 but, on the other hand, stress may inhibit appetite through activation of the sympathetic nervous system which suppresses upper gastrointestinal motility and stimulates energy substrate mobilization.18 Animal studies, which offer the opportunity to examine the effect of stress on food intake while controlling for confounding factors, have generally reported hypophagia (reduced food intake) in relation to chronic stress models.23 However, systematic manipulations of stressor intensity suggest that hypophagia is induced at higher intensities, but that at lower intensities hyperphagia (increase in food intake) is seen.21 In human beings, bidirectional effects are widely recognized in relation to depression, another consequence of chronic work stress.8,34,35 Indeed, the American Psychiatric Association’s Diagnostic and Statistical Manual includes opposite pairs, such as weight gain/weight loss and hyperphagia/hypophagia, among criteria for a diagnosis of depression. Although the determinants of body weight are not well understood, interactions between genes and environmental factors are likely.36 Stable individual differences may determine which reaction pattern, that is, weight gain, weight loss or neither, would prevail under stressful conditions for each individual. A field study of middle-aged men and women, who kept stress diaries and at the same time recorded their dietary intake, identified three reactions to stress.37 Some subjects consistently ate more during stressful periods than other times, some consistently ate less and there were also subjects with no stress-related change in eating patterns. In line with this, a study of university students found both a self-reported tendency for some students consistently to eat more during examination periods while others consistently ate less during these periods.19 A follow-up revealed greater weight gain among stress eaters. Our study suggests that BMI may be a marker

(and a long-term consequence) of such stable individual differences. In addition to eating patterns, stress could contribute to weight change through changes in physical activity level or metabolic rate. However, tendency toward weight gain during work stress seems to characterize employees with a higher BMI whereas a tendency to weight loss during chronic stress was found to be dominant among employees with a lower BMI. It is unclear why the bidirectional effect of work stress was not seen among the women. There are apparent sex differences in physiological responses to experimental and real-life stressors24–28 and the links between secretion of cortisol (a stress hormone) and central adiposity varied between men and women in a Whitehall II subsample study.26 These sex differences are potential contributors to our findings, though small scale studies do not report consistent differences in stress eating patterns between men and women.19,37 The assessment of stress in the occupational setting is another potential explanation of the null finding. For women the stress of unpaid work at home (e.g. child care) may be more important because women still carry a larger share of the responsibility for doing domestic duties.38,39 A Swedish study showed that a combination of stressful conditions at work and at home predicted perceived symptoms in white-collar women whereas for men symptoms were more strongly determined by work stress alone.40 It is therefore possible that by also including stress beyond work life an association between stress and BMI among women would be revealed.

Study limitations and implications for further research When interpreting these findings, at least five issues warrant consideration. First, 20% of the baseline cohort was lost to follow-up, the loss being slightly greater among women, clerical workers, older participants and those with higher BMI. This may not be a major source of bias because all International Journal of Obesity

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986 analyses were carried out separately for men and women and all estimates were adjusted for age and employment grade. However, as our target population was London-based civil servants, further research is needed to evaluate generalizability of the present findings to other working populations. Second, the interaction effect among men was seen with continuous measures of job control and job strain, but not with a commonly used binary job strain variable. Substantially larger sample sizes are needed to detect interactions than main effects and we believe that the null finding for a binary job strain variable was attributable to a cruder operationalization with information loss due to dichotomization. However, replications with larger cohorts are needed to confirm this. Third, we illustrated the interaction between work stress and initial BMI with subgroups defined by BMI categories with approximately 20% of men in the lowest and highest categories (cut-points 427, 22–27 and o22 kg/m2). Among these two extreme groups, we found a higher proportion of men who, respectively, eat less or more in response to stress, a pattern opposite to that of the regression towards mean. For the 60% of men in the middle BMI category, we expected the bidirectional effects of stress on weight change to cancel out, as in the whole cohort. The contrasting effects of stress are not solely attributable to the specific BMI categories used in this study, since the stress-BMI interaction was found for continuous BMI. In a small-scale questionnaire survey the proportions who reported eating either more or less in response to stress were between 25 and 35%.19 Further research is needed to determine whether use of self-reported stress eating patterns would provide more contrasting effects on weight change than the initial BMI categories used in our study. The fourth issue requiring consideration is that longstanding illness is a common source of weight loss and thus a potential confounding factor for the stress effects seen among men with low BMI. In our results for lean men, such confounding is unlikely, because additional adjustment for longstanding illness attenuated the association between low control and weight loss by o2%. Lastly, further research is needed to link the epidemiological evidence with the neuroendocrine, metabolic and behavioral mechanisms that may underlie the effects of work stress (or its absence) on BMI among men and women. As disturbances of hypothalamic–pituitary–adrenocortical axis function are assumed to contribute in particular to central obesity,26,41,42 determining stress effects on change in waist circumference or waist/hip ratio, in addition to BMI, would be important.

Conclusions Prospective evidence suggests a bidirectional effect of work stress on BMI among men. While stress seems to result in weight gain among overweight and obese men employees, International Journal of Obesity

weight loss is more likely among their lean colleagues. Inconsistent findings reported by previous studies of stress and BMI have generally been interpreted to indicate the absence of an association. In the light of the present findings, the possibility of differential effects of work stress should also be taken into account.

Acknowledgements The work for this paper was supported by the Health and Safety Executive. The Whitehall II study has been supported by grants from the Medical Research Council; British Heart Foundation; Health and Safety Executive; Department of Health; National Heart Lung and Blood Institute (HL36310), US, NIH: National Institute on Aging (AG13196), US, NIH; Agency for Health Care Policy Research (HS06516); and the John D and Catherine T MacArthur Foundation Research Networks on Successful Midlife Development and Socioeconomic Status and Health. MK, also working at the University of Helsinki, Finland, and JV were supported by the Academy of Finland (projects 104891 and 105195), the ¨ Jahnsson FoundaFinnish Environment Fund and the Yrjo tion, JEF is supported by the MRC (Grant number G8802774), MJS by a grant from the British Heart Foundation, and MGM by an MRC Research Professorship. We thank all participating Civil Service departments and their welfare, personnel, and establishment officers; the Occupational Health and Safety Agency; the Council of Civil Service Unions; all participating civil servants in the Whitehall II study; all members of the Whitehall II study team.

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