Cardiovascular Health Effects of Shift Work with Long Working Hours and Night Shifts: Study Protocol for a Three-Year Prospective Follow-Up Study on Industrial Workers
Autor: | Reidun Øvstebø, Øivind Skare, Asgeir Mamen, Dagfinn Matre, Hanne Siri Amdahl Heglum, Stine Eriksen Hammer, Hans Christian Dalsbotten Aass, Marit Skogstad, Lars-Kristian Lunde, Pia Nielsen, Elisabeth M Goffeng, Per Anton Sirnes |
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Jazyk: | angličtina |
Rok vydání: | 2020 |
Předmět: |
Male
health promotion Health Toxicology and Mutagenesis lcsh:Medicine physical activity Blood Pressure Overweight Occupational safety and health Interval training Shift work 0302 clinical medicine Clinical Protocols Risk Factors cardiovascular disease Work Schedule Tolerance Protocol Medicine 030212 general & internal medicine Prospective Studies Morning disease prevention Shift Work Schedule Middle Aged 030210 environmental & occupational health Circadian Rhythm arterial stiffness Cardiovascular Diseases Female medicine.symptom Adult medicine.medical_specialty biomarkers of inflammation Evening carotid intima-media thickness Personnel Staffing and Scheduling work organization 03 medical and health sciences Vascular Stiffness Sleep Disorders Circadian Rhythm Humans occupational business.industry lcsh:R Public Health Environmental and Occupational Health medicine.disease sleep deprivation Sleep deprivation shift work Emergency medicine Arterial stiffness business Sleep Follow-Up Studies |
Zdroj: | International Journal of Environmental Research and Public Health International Journal of Environmental Research and Public Health, Vol 17, Iss 2, p 589 (2020) |
Popis: | There is a plausible association between shift work and cardiovascular disease (CVD), which may be due to disruption of the circadian rhythm causing hormonal changes and metabolic disturbances, resulting in high blood pressure, atherosclerosis, diabetes, and being overweight. However, few studies have investigated the association between several consecutive long work shifts, including night shifts, and risk factors for developing CVD. Moreover, knowledge is lacking on factors that may modify or enhance this suggested relationship. The study period is planned from the third quarter of 2018 to the fourth quarter of 2021, and will involve 125 industrial employees at two Norwegian enterprises producing insulation. The work schedule is either rotating shiftwork (morning, evening, night) or regular day work. At baseline, we will measure blood parameters, including markers of inflammation, lipids, and glycosylated hemoglobin. We will also collect measures of blood pressure, resting heart rate, arterial stiffness, carotid intima-media thickness, and aerobic fitness. At the end of baseline data collection, a subgroup will undergo a supervised high-intensity interval training intervention for eight weeks, initiated by the Occupational Health Service. At one-year follow-up, we repeat baseline measures with added measures of heart rate variability and additional five weeks monitoring of sleep and physical activity, and assessment of respirable dust. At the two year follow-up, we will measure CVD risk factors before and after a planned three-month shutdown in one of the studied plants. We will also assess respirable dust, monitor sleep, and compile a one-year retrospective detailed overview of working hours. A final data collection, similar to the one at baseline, will be carried out after three years. We will use a comprehensive set of methods to identify the effects of shift work with long working hours and night shifts on cardiovascular health. This will provide new knowledge on the association between early manifestations of CVD and occupational exposure to shift work. Further, we can study whether work organization such as extensive overtime, sleep loss, and dust exposure have detrimental effects, and if a three-month cease in shift work or increased physical activity will modify early manifestations of CVD ©2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open accessarticle distributed under the terms and conditions of the Creative Commons Attribution(CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
Databáze: | OpenAIRE |
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