Literature DB >> 28975706

Meta-analysis on shift work and risks of specific obesity types.

M Sun1, W Feng2, F Wang1, P Li2, Z Li2, M Li1, G Tse3, J Vlaanderen4, R Vermeulen4, L A Tse1,5.   

Abstract

AIMS: This systematic review and meta-analysis evaluated the associations between shift work patterns and risks of specific types of obesity.
METHODS: PubMed was searched until March 2017 for observational studies that examined the relationships between shift work patterns and obesity. Odds ratio for obesity was extracted using a fixed-effects or random-effects model. Subgroup meta-analyses were carried out for study design, specific obesity types and characteristics of shift work pattern.
RESULTS: A total of 28 studies were included in this meta-analysis. The overall odds ratio of night shift work was 1.23 (95% confidence interval = 1.17-1.29) for risk of obesity/overweight. Cross-sectional studies showed a higher risk of 1.26 than those with the cohort design (risk ratio = 1.10). Shift workers had a higher frequency of developing abdominal obesity (odds ratio = 1.35) than other obesity types. Permanent night workers demonstrated a 29% higher risk than rotating shift workers (odds ratio 1.43 vs. 1.14).
CONCLUSION: This meta-analysis confirmed the risks of night shift work for the development of overweight and obesity with a potential gradient association suggested, especially for abdominal obesity. Modification of working schedules is recommended, particularly for prolonged permanent night work. More accurate and detailed measurements on shift work patterns should be conducted in future research.
© 2017 World Obesity Federation.

Entities:  

Keywords:  Abdominal obesity; meta-analysis; obesity; shift work

Mesh:

Year:  2017        PMID: 28975706     DOI: 10.1111/obr.12621

Source DB:  PubMed          Journal:  Obes Rev        ISSN: 1467-7881            Impact factor:   9.213


  73 in total

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2.  Association of Self-Reported Sleep and Circadian Measures With Glycemia in Adults With Prediabetes or Recently Diagnosed Untreated Type 2 Diabetes.

Authors:  Babak Mokhlesi; Karla A Temple; Ashley H Tjaden; Sharon L Edelstein; Kristina M Utzschneider; Kristen J Nadeau; Tamara S Hannon; Susan Sam; Elena Barengolts; Shalini Manchanda; David A Ehrmann; Eve Van Cauter
Journal:  Diabetes Care       Date:  2019-05-02       Impact factor: 19.112

Review 3.  Metabolic syndrome and its determinants among professional drivers: a systematic review and meta-analysis.

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Review 4.  Timing of eating in adults across the weight spectrum: Metabolic factors and potential circadian mechanisms.

Authors:  Kelly C Allison; Namni Goel
Journal:  Physiol Behav       Date:  2018-02-24

Review 5.  Melatonin in type 2 diabetes mellitus and obesity.

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Journal:  Nat Rev Endocrinol       Date:  2019-02       Impact factor: 43.330

Review 6.  Adipogenesis and metabolic health.

Authors:  Alexandra L Ghaben; Philipp E Scherer
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7.  Selection into shift work is influenced by educational attainment and body mass index: a Mendelian randomization study in the UK Biobank.

Authors:  Iyas Daghlas; Rebecca C Richmond; Jacqueline M Lane; Hassan S Dashti; Hanna M Ollila; Eva S Schernhammer; George Davey Smith; Martin K Rutter; Richa Saxena; Céline Vetter
Journal:  Int J Epidemiol       Date:  2021-08-30       Impact factor: 7.196

Review 8.  Effect of Sleep Disturbances on Blood Pressure.

Authors:  Nour Makarem; Carmela Alcántara; Natasha Williams; Natalie A Bello; Marwah Abdalla
Journal:  Hypertension       Date:  2021-02-22       Impact factor: 10.190

9.  Blunted rest-activity rhythms link to higher body mass index and inflammatory markers in children.

Authors:  Jingyi Qian; Nuria Martinez-Lozano; Asta Tvarijonaviciute; Rafael Rios; Frank A J L Scheer; Marta Garaulet
Journal:  Sleep       Date:  2021-05-14       Impact factor: 5.849

10.  Association of Rotating Night Shift Work with Body Fat Percentage and Fat Mass Index among Female Steelworkers in North China.

Authors:  Shengkui Zhang; Han Wang; Yongbin Wang; Miao Yu; Juxiang Yuan
Journal:  Int J Environ Res Public Health       Date:  2021-06-11       Impact factor: 3.390

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