Frédéric Dutheil1, Julien S Baker2, Martial Mermillod3, Mélanie De Cesare4, Alexia Vidal4, Fares Moustafa5, Bruno Pereira6, Valentin Navel7. 1. Université Clermont Auvergne, CNRS, LaPSCo, Physiological and Psychosocial Stress, CHU Clermont-Ferrand, University Hospital of Clermont-Ferrand, Preventive and Occupational Medicine, Witty Fit, F-63000, Clermont-Ferrand, France. Electronic address: fdutheil@chu-clermontferrand.fr. 2. Centre for Health and Exercise Science Research, Department of Sport, Physical Education and Health, Hong Kong Baptist University, Kowloon Tong, Hong Kong. 3. Université Grenoble Alpes, Université Savoie Mont Blanc, CNRS, LPNC, Grenoble, France; Institut Universitaire de France, Paris, France. 4. CHU Clermont-Ferrand, University Hospital of Clermont-Ferrand, Preventive and Occupational Medicine, F-63000, Clermont-Ferrand, France. 5. CHU Clermont-Ferrand, University Hospital of Clermont-Ferrand, Emergency Unit, F-63000, Clermont-Ferrand, France. 6. University Hospital of Clermont-Ferrand (CHU), Clinical Research and Innovation Direction, Clermont-Ferrand, France. 7. Université Clermont Auvergne, CNRS, INSERM, GReD, Translational Approach to Epithelial Injury and Repair, CHU Clermont-Ferrand, University Hospital of Clermont-Ferrand, Ophthalmology, F-63000, Clermont-Ferrand, France.
Abstract
BACKGROUND AND AIMS: Shift work is common worldwide and linked to deleterious cardiovascular effects that might be underlined by dyslipidemia. The aim of this systematic review and meta-analysis is to determine the impact of shiftwork on dyslipidemia. METHODS: Searching in PubMed, Cochrane Library, Science Direct and Embase databases without language restriction on 15 February 2020, included studies that describe blood lipids levels or a risk measure in shift workers compared with fixed-day workers (controls). Differences by study-level characteristics were estimated using stratified meta-analysis by type of shift work, and meta-regression to examine relations between dyslipidemia and demographic, lifestyle and work characteristics. Estimates were pooled using random-effect meta-analysis. RESULTS: We included a total of 66 articles, representing 197,063 workers. Shift work globally increased the levels of triglycerides (overall SMD = 0.09; 95CI 0.05 to 0.13; p < 0.001), and globally decreased the levels of c-HDL (-0.08; 95CI -0.12 to -0.03; p = 0.001). Permanent night shift workers were an at-risk type of shift for dyslipidemia with significantly higher blood levels of total cholesterol (0.22; 95CI 0.01 to 0.42; p = 0.043) and triglycerides (0.18; 0.03 to 0.33; p = 0.017), and significantly lower blood levels of c-HDL (-0.16; 95CI -0.32 to 0.00; p = 0.05). Permanent night shift workers were more at-risk for total cholesterol than rotating 3 × 8 shift workers (Coefficient 0.22; 95CI 0.01 to 0.42; p = 0.038) and rotating 2 × 12 shift workers (0.24; 0.02 to 0.46; p = 0.037), and more at-risk for triglycerides than rotating day shift workers (0.21; 95CI 0.03 to 0.38; p = 0.023). Results were non-significant for c-LDL, nor depending on type of shifts. CONCLUSIONS: Shift work, and particularly permanent night shift, is associated with dyslipidaemia via elevated total cholesterol and triglycerides, and reduced HDL-cholesterol. Our current study provides a practical and valuable strengthening of the evidence-base required for preventive health initiatives and workplace reform.
BACKGROUND AND AIMS: Shift work is common worldwide and linked to deleterious cardiovascular effects that might be underlined by dyslipidemia. The aim of this systematic review and meta-analysis is to determine the impact of shiftwork on dyslipidemia. METHODS: Searching in PubMed, Cochrane Library, Science Direct and Embase databases without language restriction on 15 February 2020, included studies that describe blood lipids levels or a risk measure in shift workers compared with fixed-day workers (controls). Differences by study-level characteristics were estimated using stratified meta-analysis by type of shift work, and meta-regression to examine relations between dyslipidemia and demographic, lifestyle and work characteristics. Estimates were pooled using random-effect meta-analysis. RESULTS: We included a total of 66 articles, representing 197,063 workers. Shift work globally increased the levels of triglycerides (overall SMD = 0.09; 95CI 0.05 to 0.13; p < 0.001), and globally decreased the levels of c-HDL (-0.08; 95CI -0.12 to -0.03; p = 0.001). Permanent night shift workers were an at-risk type of shift for dyslipidemia with significantly higher blood levels of total cholesterol (0.22; 95CI 0.01 to 0.42; p = 0.043) and triglycerides (0.18; 0.03 to 0.33; p = 0.017), and significantly lower blood levels of c-HDL (-0.16; 95CI -0.32 to 0.00; p = 0.05). Permanent night shift workers were more at-risk for total cholesterol than rotating 3 × 8 shift workers (Coefficient 0.22; 95CI 0.01 to 0.42; p = 0.038) and rotating 2 × 12 shift workers (0.24; 0.02 to 0.46; p = 0.037), and more at-risk for triglycerides than rotating day shift workers (0.21; 95CI 0.03 to 0.38; p = 0.023). Results were non-significant for c-LDL, nor depending on type of shifts. CONCLUSIONS: Shift work, and particularly permanent night shift, is associated with dyslipidaemia via elevated total cholesterol and triglycerides, and reduced HDL-cholesterol. Our current study provides a practical and valuable strengthening of the evidence-base required for preventive health initiatives and workplace reform.
Authors: Andressa Fernanda Silva; Rita de Cássia de Marchi Barcellos Dalri; Alan Luiz Eckeli; António Neves Pires de Sousa Uva; Aida Maria de Oliveira Cruz Mendes; Maria Lúcia do Carmo Cruz Robazzi Journal: Rev Lat Am Enfermagem Date: 2022
Authors: Galateja Jordakieva; Lovro Markovic; Walter Rinner; Isabel Santonja; Seungjune Lee; Alexander Pilger; Thomas Perkman; Igor Grabovac; Eva Schernhammer; Richard Crevenna; Kyriaki Papantoniou; Jasminka Godnic-Cvar Journal: Wien Klin Wochenschr Date: 2021-09-06 Impact factor: 2.275
Authors: Alexandra Hemmer; Julie Mareschal; Charna Dibner; Jacques A Pralong; Victor Dorribo; Stephen Perrig; Laurence Genton; Claude Pichard; Tinh-Hai Collet Journal: Nutrients Date: 2021-11-22 Impact factor: 5.717