Cited by 194Sleep and Work-Related FatigueCircadian rhythm and melatoninWorkplace Health and Well-being

Effect of shift work on body mass index and metabolic parameters

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Morikawa, Yuko, Nakagawa, Hideaki, Miura, Katsuyuki, Soyama, Yoshiyuki, Ishizaki, Masao, Kido, Teruhiko, Naruse, Yuchi, Suwazono, Yasushi +1 more·2007·Scandinavian Journal of Work, Environment & Health

Abstract

OBJECTIVES: The aim of this cohort study was to investigate the effects of shift work on changes in parameters related to metabolic disturbances. METHODS: The study population included 1529 male blue-collar workers, aged 19-49 years at baseline, working in a sash and zipper factory in Japan. The participants were divided into four groups according to the work schedule at baseline, the end point being workers doing fixed daytime work in both years (day-day), workers who changed from shift work to fixed daytime work (shift-day), workers who changed from fixed daytime work to shift work (day-shift), and workers doing shift work in both years (shift-shift). The changes in body mass index (BMI), blood pressure, serum cholesterol, and glycosylated hemoglobin A1c over a period of 10 years were compared among the groups by work schedule. RESULTS: The age-adjusted mean increase in BMI was 1.03 kg/m(2) for the day-shift workers, and it was significantly larger than that of the day-day workers and shift-day workers. The shift-shift workers showed a significantly larger increase in BMI than the day-day workers. These tendencies remained after adjustment for age and all other confounding factors, such as BMI, smoking, drinking, and leisure-time physical activity at baseline. The increase in total cholesterol tended to be higher among the shift-shift workers and the day-shift workers, but there were no significant differences. Blood pressure and hemoglobin A1c did not differ among the four groups. CONCLUSIONS: Shift work is considered to be a risk factor for excess weight. However, no significant difference in the biomarkers was found between daytime workers and shift workers.

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References 21 · Cited by 194

Research works printed but not linked: 3

  1. Bøggild H, Knutsson A. Shift work, risk factors and car- diovascular disease [review]. Scand J Work Environ Health. 1999;25(2):85-99.
  2. Kristensen TS. Cardiovascular disease and the work envi- ronment: a critical review of the epidemiologic literature on nonchemical factors [review]. Scand J Work Environ. 1989;15:165-75.
  3. Theorell T, Åkerstedt T. Day and night work: changes in cholesterol, uric acid, glucose and potassium in serum and in circadian patterns. Acta Med Scand. 1976;200:47-53.

Authors
Morikawa, Y., Nakagawa, H., Miura, K., Soyama, Y., Ishizaki, M., Kido, T., Naruse, Y., Suwazono, Y., & Nogawa, K.
Affiliations
  • Kanazawa Medical University (JP)
  • Kanazawa University (JP)
  • Chiba University (JP)
Venue
Scandinavian Journal of Work, Environment & Health
Published
2007-02
Volume
33
Issue
1
Pages
45-50
ISSN
  • 0355-3140 (ISSN-L)
  • 1795-990X
OpenAlex
W1978121138
Cited by
194
References
21
Citations by year
2026: 2 · 2025: 7 · 2024: 4 · 2023: 5 · 2022: 10 · 2021: 5 · 2020: 11 · 2019: 11 · 2018: 9 · 2017: 12 · 2016: 11 · 2015: 20 · 2014: 13 · 2013: 17 · 2012: 15
FWCI
14.07
Type
journal article
Language
en
Open access
Licence
cc-by
Locations
  • Scandinavian Journal of Work Environment & Health (publishedVersion, cc-by)
  • PubMed (publishedVersion)
Topics
  • Social Sciences › Psychology › Experimental and Cognitive Psychology › Sleep and Work-Related Fatigue
  • Life Sciences › Neuroscience › Endocrine and Autonomic Systems › Circadian rhythm and melatonin
  • Health Sciences › Health Professions › General Health Professions › Workplace Health and Well-being
Keywords
shift work, body mass index, metabolic disorders, weight gain, blood pressure, serum cholesterol, HbA1c, work schedules, blue-collar workers, industrial workers, occupational health
MeSH terms
Adult, Blood Pressure, Cholesterol, Glycated Hemoglobin, Humans, Japan, Male, Middle Aged, Personnel Staffing and Scheduling, Work Schedule Tolerance, Cohort Studies, Biomarkers, Health Behavior, Body Mass Index

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