Literature DB >> 9989313

A longitudinal study of work load and variations in psychological well-being, cortisol, smoking, and alcohol consumption.

A Steptoe1, J Wardle, Z Lipsey, R Mills, G Oliver, M Jarvis, C Kirschbaum.   

Abstract

The effects of variations in work load (indexed by paid work hours) on psychological well-being, cortisol, smoking, and alcohol consumption were examined in a sample of 71 workers (44 women, 27 men) in the retail industry. Measures were obtained on four occasions over a six-month period, and assessments were ranked individually according to hours of work over the past seven days. Job strain (demand/control) and job social support were evaluated as potential moderators of responses. Paid work hours ranged from a mean of 32.6 to 48.0 hours per week, and ratings of work-home conflict and perceived stress varied across assessments. Salivary cortisol was inversely associated with job strain and did not vary across sessions. Female but not male smokers consumed more cigarettes during periods of long work hours, and self-reported smoking and cotinine concentrations were greater among smokers with higher nicotine dependency scores. Men but not women with poor social supports consumed more alcohol as work hours lengthened. These data indicate that health behaviors are affected only to a limited extent by variations in work load. Results are discussed in the context of adaptation to work and the pathways linking stressful experience with health risk.

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Year:  1998        PMID: 9989313     DOI: 10.1007/BF02884453

Source DB:  PubMed          Journal:  Ann Behav Med        ISSN: 0883-6612


  34 in total

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2.  Mental health consequences of international migration for Vietnamese Americans and the mediating effects of physical health and social networks: results from a natural experiment approach.

Authors:  Hongyun Fu; Mark J VanLandingham
Journal:  Demography       Date:  2012-05

3.  Stressful life events and daily stressors affect awakening cortisol level in midlife mothers of individuals with autism spectrum disorders.

Authors:  Jen D Wong; Marsha M Seltzer; Jan S Greenberg; Jinkuk Hong; David M Almeida; Christopher L Coe
Journal:  Aging Ment Health       Date:  2012-05-29       Impact factor: 3.658

4.  Biological correlates of social support and pressure at work in managers.

Authors:  P Bernin; T Theorell; C G Sandberg
Journal:  Integr Physiol Behav Sci       Date:  2001 Apr-Jun

5.  Relationship between self-reported mental stressors at the workplace and salivary cortisol.

Authors:  Giovanni Maina; Antonio Palmas; Francesca Larese Filon
Journal:  Int Arch Occup Environ Health       Date:  2007-08-16       Impact factor: 3.015

6.  Associations between two job stress models and measures of salivary cortisol.

Authors:  Giovanni Maina; Massimo Bovenzi; Antonio Palmas; Francesca Larese Filon
Journal:  Int Arch Occup Environ Health       Date:  2009-06-25       Impact factor: 3.015

7.  Relationship between work strain, need for recovery after work and cumulative cortisol among kindergarten teachers.

Authors:  Xingliang Qi; Yapeng Liu; Jing Zhang; Shuang Ji; Judith K Sluiter; Renlai Zhou; Huihua Deng
Journal:  Int Arch Occup Environ Health       Date:  2015-02-20       Impact factor: 3.015

8.  Associations of long-term shift work with waking salivary cortisol concentration and patterns among police officers.

Authors:  Desta Fekedulegn; Cecil M Burchfiel; John M Violanti; Tara A Hartley; Luenda E Charles; Michael E Andrew; Diane B Miller
Journal:  Ind Health       Date:  2012-10-08       Impact factor: 2.179

9.  Associations of perceived work strain with nicotine dependence in a community sample.

Authors:  U John; J Riedel; H-J Rumpf; U Hapke; C Meyer
Journal:  Occup Environ Med       Date:  2006-03       Impact factor: 4.402

10.  Work time and 11-year progression of carotid atherosclerosis in middle-aged Finnish men.

Authors:  Niklas Krause; Richard J Brand; Jussi Kauhanen; George A Kaplan; S Leonard Syme; Candice C Wong; Jukka T Salonen
Journal:  Prev Chronic Dis       Date:  2008-12-15       Impact factor: 2.830

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