Stress in numerous contexts may affect the risk for obesity through biobehavioral processes. Acute stress has been associated with diet and physical activity in some studies; the relationship between everyday stress and such behavior is not clear. The objective of this study was to examine associations between perceived stress, dietary behavior, physical activity, eating awareness, self-efficacy, and body mass index (BMI) among healthy working adults. Secondary objectives were to explore whether eating awareness modified the relationship between perceived stress and dietary behavior and perceived stress and BMI.
Promoting Activity and Changes in Eating (PACE) was a group-randomized worksite intervention to prevent weight gain in the Seattle metropolitan area from 2005 through 2007. A subset of 621 participants at 33 worksites provided complete information on perceived stress at baseline. Linear mixed models evaluated cross-sectional associations.
The mean (standard deviation [SD]) Perceived Stress Scale-10 score among all participants was 12.7 (6.4), and the mean (SD) BMI was 29.2 kg/m2 (6.3 kg/m2). Higher levels of perceived stress were associated with lower levels of eating awareness, physical activity, and walking. Among participants who had low levels of eating awareness, higher levels of perceived stress were associated with fewer servings of fruit and vegetables and greater consumption of fast food meals.
Dietary and physical activity behaviors of workers may be associated with average levels of perceived stress. Longitudinal studies are needed, however, to support inclusion of stress management or mindfulness techniques in workplace obesity prevention efforts.
The high prevalence of obesity is a major public health problem because of the association of obesity with chronic health conditions such as coronary heart disease, type 2 diabetes, and some cancers (
Research interest in the potential role of stress in health is growing. Stress is an individual-level factor associated with environmental phenomena and individual-level disease processes (
Perceived stress is associated with direct changes to both physiologic (eg, hormonal response) and psychological processes. Chronically elevated levels of perceived stress affect cortisol levels, which have been associated with increased risk for central obesity (
Some types of stress, such as work stress, have been associated with obesity-related behaviors among adults (
Hypothesized conceptual model of biobehavioral association of perceived stress with obesity. Bolded arrows indicate relationships assessed in this study.
PACE (Promoting Activity and Changes in Eating) evaluated associations of stress and obesity-related behaviors in a population of sedentary, mostly non-Hispanic white workers in metropolitan Seattle. PACE was a large group-randomized intervention to prevent weight gain in 34 worksites employing 2,900 workers. Baseline data collection took place from 2005 through 2007; design and eligibility criteria are described elsewhere (
We assessed the level of stress perceived by each participant in the past 30 days through the PSS-10 (
We calculated BMI (kg/m2) by using heights and weights measured by investigators at worksites during a proctored survey or other assessment or at a height and weight clinic.
We used indices of dietary behavior instead of actual consumption measurements as our main outcome measures. The average number of fruit and vegetable servings consumed per day by participants was assessed by using the National Cancer Institute 5 A Day 7-question fruit and vegetable assessment tool (
Eating awareness was assessed by measuring the frequency of task eating. We assessed the frequency of task eating by using a single question: “How often do you eat food (meals or snacks) while doing another activity, for example, watching TV, working at a computer, reading, driving, playing video games?” Respondents chose from a 5-point Likert scale ranging from 1 (never) to 5 (always). We then defined a low level of eating awareness as task eating always or most of the time and a high level of eating awareness as task eating sometimes, seldom, or never. Eating awareness may be a correlate of obesity (
We used 3 measures of physical activity. Two measures were from the Godin Leisure-Time Exercise Questionnaire (
Self-efficacy, a determinant and consequence of behavior change (
We conducted linear mixed-model analyses to examine the hypothesized associations. In all models, we calculated predicted means and 95% confidence intervals, adjusting for age, sex, race, and education (as fixed effects) and a worksite random effect. We additionally included an interaction term between perceived stress and eating awareness in each dietary behavior model to explore whether eating awareness modified the relationship between perceived stress and dietary behavior. Analyses were then stratified by low and high levels of eating awareness. When modeling total walking behavior, we also included manual occupation as a fixed effect because this behavior was not evenly distributed among occupational groups. Variables for BMI and the number of fast food meals and soft drinks consumed per week were log-transformed to avoid heteroscedasticity of residual errors. Variables were then back-transformed. Each predicted mean difference was related to a 9-point increase in the PSS-10 score; the 9 points correspond to the interquartile range (approximately 8.0 to 17.0). We used the Wald test to determine whether predicted mean differences or multiplicative interaction terms were significantly different from zero. We used SAS version 9.2 (SAS Institute Inc
Among PACE participants, 82.7% were non-Hispanic white; almost half were college graduates and had a household income of $75,000 or more (
| Characteristic | Total (n = 621) | Men (n = 264) | Women (n = 357) |
|---|---|---|---|
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| 18–34 | 141 (22.8) | 48 (18.1) | 93 (26.3) |
| 35–44 | 158 (25.5) | 66 (24.9) | 92 (25.9) |
| 45–54 | 200 (32.2) | 98 (37.0) | 102 (28.7) |
| 55–65 | 121 (19.5) | 53 (20.0) | 68 (19.1) |
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| White | 505 (82.7) | 222 (85.5) | 283 (80.6) |
| African American | 35 (5.7) | 9 (3.4) | 26 (7.4) |
| Hispanic/Latino | 25 (4.6) | 9 (3.4) | 16 (4.5) |
| Asian | 27 (4.5) | 9 (3.4) | 18 (5.2) |
| Other | 19 (3.1) | 11 (4.2) | 8 (2.3) |
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| <High school, high school graduate, or GED | 70 (11.3) | 31 (11.7) | 39 (11.0) |
| Some college or technical college | 250 (40.3) | 94 (35.5) | 156 (43.8) |
| College graduate | 213 (34.3) | 92 (34.7) | 121 (34.0) |
| Postgraduate or professional degree | 87 (14.0) | 47 (17.7) | 40(11.2) |
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| <50,000 | 149 (27.2) | 44 (18.8) | 105 (31.9) |
| 50,000–74,999 | 131 (23.6) | 57 (26.2) | 74 (22.1) |
| 75,000–100,000 | 105 (18.9) | 43 (18.9) | 62 (19.2) |
| >100,000 | 166 (30.3) | 81 (36.0) | 85 (26.8) |
|
| 79 (13.6) | 58 (20.9) | 21 (5.8) |
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| 12.7 (6.4) | 11.6 (6.0) | 13.6 (6.4) |
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| 29.2 (6.3) | 28.7 (4.2) | 29.2 (6.7) |
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| No. of fruit and vegetable servings per day, mean (SD) | |||
| 5 A Day | 3.2 (3.1) | 3.2 (1.9) | 3.4 (2.1) |
| Single item summary | 3.1 (1.7) | 2.9 (1.6) | 3.3 (1.6) |
| No. of fast food meals consumed per week, mean (SD) | 0.5 (0.6) | 0.6 (0.7) | 0.5 (0.4) |
| No. of soft drinks consumed per week, mean (SD) | 3.7 (4.4) | 3.6 (4.0) | 3.9 (4.4) |
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| 127 (20.3) | 69 (26.1) | 58 (15.5) |
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| Godin leisure-time exercise score,e mean, (SD) | 28.7 (22.4) | 33.8 (21.0) | 26.2 (20.4) |
| Regularly engage in free-time sweat-inducing exercise | 155 (24.7) | 81 (33.8) | 74 (21.2) |
| No. of walking minutes per week, mean (SD) | 515.2 (502.2) | 547.9 (487.3) | 495.8 (490.8) |
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| Very or extremely sure they can monitor eating choices | 364 (9.0) | 34 (11.5) | 20 (6.3) |
| Very or extremely sure they can increase physical activity | 57 (9.5) | 31 (12.4) | 26 (7.0) |
Abbreviations: GED, General Educational Development; SD, standard deviation.
a Employees at 33 worksites completed Perceived Stress Scale-10. Characteristics were averaged within and among worksites for those that provided data from Perceived Stress Scale-10; totals may not add to total sample because of missing data. Values are n (%) unless otherwise indicated.
b Includes machine operators, mechanics/technicians, building trade, construction and labor, and service workers.
c Perceived Stress Score-10 ranges from 0 to 40; 40 represents the greatest level of perceived stress.
d Body mass index calculated from measured height and weight.
e Godin Leisure-Time Exercise Questionnaire (24) was scored by number of times in past week spent in strenuous, moderate, or mild exercise for at least 10 minutes. Score ranges from 0 to 180 metabolic equivalent task (MET) units; 180 represents the greatest level of physical activity.
| Characteristic | Mean Difference (95% CI) |
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|---|---|---|
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| 0.31 (−0.31 to 0.97) | .33 |
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| No. of fruit and vegetable servings per day | ||
| 5 A Day | −0.19 (−0.41 to 0.04) | .11 |
| Single-item summary | −0.12 (−0.27 to 0.04) | .11 |
| No. of fast food meals consumed per week | 0.02 (−0.02 to 0.07) | .34 |
| No. of soft drinks consumed per week, n | 0.14 (−0.10 to 0.50) | .32 |
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| 7.1 (1.4 to 13.1) | .01 |
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| Godin leisure-time exercise score scored | −3.1 (−5.7 to −0.4) | .02 |
| Regularly engage in free-time sweat-inducing exercise, percentage point | −5.3 (−7.9 to −0.01) | .02 |
| No. of walking minutes per weeke | −49.8 (−80.7 to −7.7) | .02 |
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| Very or extremely sure they can monitor eating choices, percentage point | −0.04 (−10.5 to 0.01) | .14 |
| Very or extremely sure they can increase physical activity, percentage point | −0.05 (−0.12 to 0.001) | .06 |
Abbreviation: CI, confidence interval.
a Predicted mean differences were calculated by linear mixed models using a link function adjusted for individual age, sex, race, and education and a worksite random effect. Each mean value corresponds to a 9-point increase in the Perceived Stress Score-10 (PSS-10). For example, for each 9-point increase in the PSS-10, the percentage of study participants who were categorized as task eaters (eat while doing other activities all or most of the time) increased by 7.1 percentage points.
b Determined by the Wald test.
c Body mass index calculated from measured height and weight.
d Godin Leisure-Time Exercise Questionnaire (24) was scored by measuring number of times in past week spent in strenuous, moderate, or mild exercise for at least 10 minutes. Score ranges from 0 to 180 metabolic equivalent task (MET) units; 180 represents the greatest level of physical activity.
e Adjusted for manual occupation.
| Low Level of Eating Awarenessb
| High Level of Eating Awarenessb
| |||
|---|---|---|---|---|
| Mean Difference (95% CI) |
| Mean Difference (95% CI) |
| |
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| 5 A Dayd | −0.54 (−0.93 to −0.15) | .007 | 0.10 (−0.25 to 0.45) | .59 |
| Single item summarye | −0.44 (−0.70 to −0.18) | .001 | 0.15 (−0.09 to 0.38) | .23 |
|
| 0.13 (0.05 to 0.22) | .001 | −0.05 (−0.10 to 0.01) | .07 |
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| 0.41 (−0.09 to 1.41) | .14 | −0.04 (−0.25 to 0.32) | .79 |
Abbreviation: CI, confidence interval.
a Predicted mean differences were calculated by linear mixed models using a link function adjusted for individual age, sex, race, and education and a worksite random effect. Each mean value corresponds to a 9-point increase in the Perceived Stress Score-10 (PSS-10).
b Low level of eating awareness defined as task eating (eating while doing other activities such as reading or watching television) always or most of the time and a high level of eating awareness as task eating sometimes, seldom, or never.
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d
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Our sample of working adults was similar to US adults in terms of BMI (
Higher frequency of task eating was associated with higher levels of perceived stress, but overall dietary behavior and perceived stress was not associated. We also did not detect a sex interaction in the relationship between perceived stress and dietary behavior and physical activity. The relationship between perceived stress and dietary behavior may be modified by several factors, including overweight or obesity, sex, and domains of eating behavior (eg, restrained or emotional eating) (
Growing evidence suggests that stress’s influence on
Higher levels of perceived stress were also associated with lower levels of physical activity. These findings are consistent with those found in most previous studies (
Higher levels of stress have been associated with a lack of adherence to physical activity (
This study has several limitations, including its secondary cross-sectional design and the potential issue of multiple comparisons. Confirmatory analyses are needed, especially within a longitudinal setting. We did not include other measures of stress-related eating behaviors (eg, emotional eating) because evaluating the relationship between stress and eating was not the primary objective of the PACE intervention. Alcohol consumption, a potentially confounding variable in the relationship between stress and BMI, was also not measured (
In this study, perceived stress was associated with several obesogenic behaviors among mostly non-Hispanic white working adults with average levels of everyday stress. Our data provide insight into the potential role of even average levels of everyday stress in dietary, eating, and physical activity behaviors. The association of perceived stress and these behaviors is likely greater in people who have higher levels of stress. Further exploration of the role of stress in occupational groups in which excessive obesity-related behaviors have been documented may benefit future intervention strategies. Our findings may also suggest that including stress management and/or mindfulness techniques in worksite behavior-change interventions could improve program effectiveness.
Research efforts were supported in part by the National Heart Lung & Blood Institute (R01 HL079491) and by the National Cancer Institute Biobehavioral Cancer Prevention and Control Training Program (R25 CA092408) at the University of Washington. We thank Nicole Brunner for her work with intervention delivery and data collection as well as Dale McLerran and Yingye Zheng for advice on statistical analysis. We are grateful to the liaisons at our collaborating worksites and to the employees participating in the surveys.
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