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Effect of shift work on body mass index: results of a study performed in 319 glucose-tolerant men working in a Southern Italian industry
Abstract
Objective To examine the influence of shift work on metabolic and cardiovascular risk factors in subjects working in an industry sited in Apulia, Southern Italy. Design Cross-sectional study of metabolic effects of shift work in glucose tolerant workers in a chemical industry in southern Italy. Subjects The subjects included 319 glucose tolerant male individuals, aged 35-60 y. Measurements Anthropometric parameters (body mass index (BMI) and waist-to-hip ratio (WHR)), fasting concentrations of glucose, insulin, and lipids (total cholesterol, HDL-cholesterol, triglycerides), the sum of glucose levels during 75 g-oral glucose tolerance test (Sigma-OGTT), and systolic and diastolic blood pressure (SBP and DBP, respectively). Results The prevalence of obesity was higher among shift workers compared to day workers, whereas body fat distribution was not different between the two groups. Shift workers had higher BMI than day workers, and shift working was associated with BMI, independently of age and work duration. Shift workers had significantly higher SBP levels, which were independently influenced by BMI, but not by shift work, thus suggesting that the difference in SBP may well be mediated by the increased body fatness. Conclusion In workers of an industry sited in Southern Italy, shift work may be directly responsible for increased body fatness and is indirectly associated with higher blood pressure levels and some features of metabolic syndrome.
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“Long-term desynchronization of circadian rhythms is associated with adverse metabolic health effects, including weight gain, increased body fat, obesity, impaired glucose tolerance, insulin resistance, higher blood pressure, and elevated cholesterol levels, as well as elevated risk for cardiovascular diseases, diabetes, and metabolic syndrome (18, 47–54).”
From Meal timing and its role in obesity and associated diseases (2024) · cites this paper as [49]
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Metadata
- Authors
- Di Lorenzo, L., De Pergola, G., Zocchetti, C., L'Abbate, N., Basso, A., Pannacciulli, N., Cignarelli, M., Giorgino, R., & Soleo, L.
- Affiliations
- Regione Lombardia (IT)
- University of Bari Aldo Moro (IT)
- University of Foggia (IT)
- Venue
- International Journal of Obesity
- Published
- 2003-10-23
- Volume
- 27
- Issue
- 11
- Pages
- 1353-1358
- ISSN
- 0307-0565 (ISSN-L)
- 1476-5497
- OpenAlex
- W2025605322
- Cited by
- 346
- References
- 45
- Citations by year
- 2026: 2 · 2025: 4 · 2024: 13 · 2023: 12 · 2022: 25 · 2021: 16 · 2020: 22 · 2019: 12 · 2018: 15 · 2017: 20 · 2016: 22 · 2015: 34 · 2014: 24 · 2013: 18 · 2012: 25
- FWCI
- 6.19
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- International Journal of Obesity (publishedVersion)
- PubMed (publishedVersion)
- CINECA IRIS Institutional Research Information System (University of Bari Aldo Moro) (submittedVersion)
- 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 › Medicine › Public Health, Environmental and Occupational Health › Workplace Health and Well-being
- Keywords
- shift work, body mass index, obesity, waist-to-hip ratio, blood pressure, metabolic syndrome, glucose tolerance, insulin, lipids, chemical industry workers, industrial workers, Southern Italy
- MeSH terms
- Adult, Anthropometry, Blood Glucose, Body Constitution, Cardiovascular Diseases, Cross-Sectional Studies, Glucose Tolerance Test, Humans, Insulin Resistance, Lipids, Male, Middle Aged, Obesity, Occupational Diseases, Personnel Staffing and Scheduling, Risk Factors, Work Schedule Tolerance, Body Mass Index
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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