Is fatigue after work a barrier for leisure-time physical activity? Cross-sectional study among 10,000 adults from the general working population

Bláfoss, Rúni; Micheletti, Jéssica Kirsch; Sundstrup, Emil; Jakobsen, Markus Due; Bay, Hans; Andersen, Lars L.

doi:10.1177/1403494818765894

Cited by 51 publications

(28 citation statements)

References 36 publications

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“…For example, high physical workload and work-related fatigue can exhaust workers leaving less energy to perform physical activity in leisure time. 28,31 The contrasting findings between our and previous research can also be due to differences in methodology including the measurement of physical activity. While most previous studies explicitly measured leisure time physical activity, in the present study, the questions about physical activity left room for the inclusion of leisure time as well as occupational time physical activity.…”

Section: Discussioncontrasting

confidence: 89%

The Mediating Effect of Unhealthy Behaviors and Body Mass Index in the Relation Between High Physical Workload and Self-Rated Poor Health in Male Construction Workers

Proper¹,

Cillekens²,

Twisk³

et al. 2020

Journal of Occupational &Amp; Environmental Medicine

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Objectives: To examine the mediating role of unhealthy behaviors and body mass index (BMI) in the relation between high physical workload and selfrated health in male construction workers. Methods: Longitudinal data over 2010 to 2018 were used of 30,224 male construction workers in The Netherlands. Smoking, lack of physical activity, and alcohol consumption were self-reported. BMI was based on measured body weight and height. Multilevel modeling path analyses were used to determine the mediating role of unhealthy behaviors in the relation between physical workload and poor health. Results: A direct effect of high physical workload on poor health adjusted for unhealthy behaviors and BMI was found (odds ratio [OR] 1.49, 95% confidence interval [CI] 1.38 to 1.68). Indirect effects of the unhealthy behaviors and BMI in the relation between high physical workload and poor health were small (OR varying from 0.96 to 1.04). Conclusion: The pathway of high physical workload and poor health through unhealthy behaviors and BMI was not supported.

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Section: Discussioncontrasting

confidence: 89%

The Mediating Effect of Unhealthy Behaviors and Body Mass Index in the Relation Between High Physical Workload and Self-Rated Poor Health in Male Construction Workers

Proper¹,

Cillekens²,

Twisk³

et al. 2020

Journal of Occupational &Amp; Environmental Medicine

View full text Add to dashboard Cite

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“…In, for example, Del Duca et al [ 10 ] mentioned earlier, many individuals who were otherwise categorized as inactive, in fact, met recommendations for PA when data on TPA were included as opposed to when only LTPA was counted. It is reasonable to assume that people of lower SES have less surplus energy to be physically active during their leisure time, because of the physical strain of their work [ 74 ]. Moreover, there is reason to believe that people of higher SES are more active in their leisure time, out of necessity, because they are less physically active at work [ 67 ], and not merely because of their ability to finance their activities.…”

Section: Discussionmentioning

confidence: 99%

Are Differences in Physical Activity across Socioeconomic Groups Associated with Choice of Physical Activity Variables to Report?

Stalsberg

Pedersen

2018

IJERPH

143

103

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Despite being challenged in recent years, the hypothesis that individuals of higher socioeconomic status (SES) are more physically active than their lower SES counterparts is generally considered a fact. Recent reviews, however, have suggested that differences across groups might be related to which physical activity (PA) domains have been investigated. In the present review, searches for relevant studies were performed in the MEDLINE, ISI Web of Knowledge and SPORTDiscus databases. Search terms included “socioeconomic”, “socio-economic”, “socio economic” and “social class” to meet all variations of the variable “socioeconomic status” in combination with the term “physical activity”. Studies were included when applying the dimensions of intensity, frequency, type/mode, and duration in measuring PA. Fifty-six studies were included and were subsequently split into four PA domains: transport PA (TPA), occupational PA (OPA), housing PA (HPA) and leisure time PA (LTPA). It turned out that the positive relationship held only for LTPA, whereas the relationship was non-existent or even opposite for all other domains. It is concluded that the assumed positive relationship between SES and PA is mainly a relationship between LTPA and SES. It is further suggested that the PA domain should always be considered when studying said relationships.

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“…However, this risk could be, in a way, attenuated due to the previous use of the questionnaire in other studies, as well as because the psychosocial work environment related-questions were extracted from the validated Copenhagen Psychosocial Questionnaire. 25 Despite the fact that we have controlled a wide range of potential confounders, other variables such as occupational physical activity might better reflect the effects of the physical efforts in the workplace, since it has been observed to affect LTPA 40 and LTSA. 12 Besides, some of the control variables, for example, chronic disease, may act as mediator rather than confounder.…”

Section: Discussionmentioning

confidence: 99%

High leisure‐time physical activity reduces the risk of long‐term sickness absence

López‐Bueno

Vinstrup

Andersen

2020

Scandinavian Med Sci Sports

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Objectives This study examined the association of leisure‐time physical activity (LTPA) with the risk of long‐term sickness absence (LTSA). Methods A total of 10 427 subjects from the general working population in Denmark answered questions about physical activity habits, health and work environment in the 2010 Danish Work Environment Cohort Study (DWECS). Data on LTSA (≥6 consecutive weeks during 2‐year follow‐up) were obtained from the Danish Register for Evaluation of Marginalization (DREAM). Cox regression analysis censored for competing events and adjusted for potential confounders (age, sex, BMI, smoking habits, depression, cancer, back diseases, previous LTSA, occupational social class, and psychosocial work environment) estimated the association between the predictor (LTPA) and the outcome variable (LTSA). During the 2‐year follow‐up period, 9.2% of the studied population experienced LTSA. Results In the general working population, moderate LTPA was not associated with LTSA (HR = 0.89, 95% CI: 0.72‐1.09), while high LTPA showed a tendency (HR = 0.77, 95% CI: 0.59‐1.01). In subgroup analyses, women below the age of 45 years with high LTPA showed a significantly lower risk of LTSA when compared with their low LTPA counterparts (HR = 0.44, 95% CI: 0.25‐0.78). Conclusion The results suggest that high levels of physical activity during leisure are associated with a lowered risk of LTSA, especially among younger women.

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Is fatigue after work a barrier for leisure-time physical activity? Cross-sectional study among 10,000 adults from the general working population

Cited by 51 publications

References 36 publications

The Mediating Effect of Unhealthy Behaviors and Body Mass Index in the Relation Between High Physical Workload and Self-Rated Poor Health in Male Construction Workers

The Mediating Effect of Unhealthy Behaviors and Body Mass Index in the Relation Between High Physical Workload and Self-Rated Poor Health in Male Construction Workers

Are Differences in Physical Activity across Socioeconomic Groups Associated with Choice of Physical Activity Variables to Report?

High leisure‐time physical activity reduces the risk of long‐term sickness absence

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