A meta-analysis of cohort studies including dose-response relationship between shift work and the risk of diabetes mellitus

The Rotterdam Study is an ongoing prospective cohort study that started in 1990 in the city of Rotterdam, The Netherlands. The study aims to unravel etiology, preclinical course, natural history and potential targets for intervention for chronic diseases in mid-life and late-life. The study focuses on cardiovascular, endocrine, hepatic, neurological, ophthalmic, psychiatric, dermatological, otolaryngological, locomotor, and respiratory diseases. As of 2008, 14,926 subjects aged 45 years or over comprise the Rotterdam Study cohort. Since 2016, the cohort is being expanded by persons aged 40 years and over. The findings of the Rotterdam Study have been presented in over 1700 research articles and reports. This article provides an update on the rationale and design of the study. It also presents a summary of the major findings from the preceding 3 years and outlines developments for the coming period.

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“…For additional EJE references please see [197][198][199][200][201][202][203][204][205][206][207][208].…”

Section: Future Perspectivesmentioning

confidence: 99%

Objectives, design and main findings until 2020 from the Rotterdam Study

et al. 2020

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“…Many previous studies [38,39] have shown a higher risk of diabetes in night workers, but this study is the first, to our knowledge, to focus on IFG, a type of prediabetes. The fact that prediabetes, which is regarded as an important finding during screening, is prevalent in night workers, means that this group should be targeted for the early diagnosis and treatment of diabetes risk.…”

Section: Strengthsmentioning

confidence: 83%

Dose-Response Relationship between Night Work and the Prevalence of Impaired Fasting Glucose: The Korean Worker’s Special Health Examination for Night Workers Cohort

Lee

Choi

et al. 2021

IJERPH

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Many studies have been conducted regarding the association between night work and diabetes, but the association between impaired fasting glucose (IFG) and night work is still unclear. The aim of this study was to evaluate this association using the Special Health Examination (SHEW) for Korean night workers. Laboratory, questionnaire, and physical examination data were collected for 80,077 manual workers between 2014 and 2016 from Korea Medical Institute, and associations of the data with IFG were evaluated using a multivariate logistic regression model. The odds ratios for IFG among those who worked night shifts for 2~5 years, 5~12 years, and 12 years or over (ref: <2 years) after adjusting for abdominal obesity were 1.14 (0.90–1.45), 1.41 (1.10–1.81), and 1.75 (1.41–2.19), respectively. A dose–response relationship was identified between the duration of night work and the prevalence of IFG (p for trend <0.05). A dose relationship remained significant when a subgroup of non-obese participants was analyzed. We identified an association and a dose–response relationship between the number of years of night work and IFG. To prevent the development of diabetes in night workers, we suggest that they should be pre-emptively screened and treated from the stage of IFG.

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“…The incidence rate of all-cause mortality was calculated by dividing the number of incident case by total follow-up duration (per 1000 person-years). We analyzed the effect of baseline SUA on all-cause mortality as a continuous variable using restricted cubic splines with 3 knots (10th, 50th, 90th percentile) [28] and adjusted for the same variables as in the Cox regression analyses (see below). Test of linear and nonlinear terms were based on the likelihood ratio test.…”

Section: Discussionmentioning

confidence: 99%

Visit-to-visit variability of serum uric acid measurements and the risk of all-cause mortality in the general population

et al. 2021

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Background Evidence on longitudinal variability of serum uric acid (SUA) and risk of all-cause mortality in the general population is limited, as many prior studies focused on a single measurement of SUA. Methods A total of 53,956 participants in the Kailuan study who underwent three health examinations during 2006 to 2010 were enrolled. Variability of SUA was measured using the coefficient of variation (primary index), standard deviation, average real variability, and variability independent of the mean. Cox proportional hazard regressions were used to calculate the hazard ratio (HR) and 95% confidence interval (CI) for the association of variability of SUA with subsequent risk of all-cause mortality, considering its magnitude and the direction and across different baseline SUA categories. Results Over a median follow-up of 7.04 years, 2728 participants died. The highest variability of SUA was associated with an increased risk of all-cause mortality, the HR was 1.33 (95% CI, 1.20–1.49) compared with the lowest variability. In this group, both a large fall (HR, 1.28; 95% CI, 1.14–1.44) and rise (HR, 1.18; 95% 1.05–1.32) in SUA were related to risk of all-cause mortality. These associations were similar across different baseline SUA categories. Consistent results were observed in alternative measures of SUA variability. Moreover, individuals with higher variability in SUA were more related to common risk factors than those with stable SUA. Conclusions Higher variability in SUA was independently associated with the risk of all-cause mortality irrespective of baseline SUA and direction of variability in the general population.

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A meta-analysis of cohort studies including dose-response relationship between shift work and the risk of diabetes mellitus

Cited by 44 publications

References 44 publications

Objectives, design and main findings until 2020 from the Rotterdam Study

Objectives, design and main findings until 2020 from the Rotterdam Study

Dose-Response Relationship between Night Work and the Prevalence of Impaired Fasting Glucose: The Korean Worker’s Special Health Examination for Night Workers Cohort

Visit-to-visit variability of serum uric acid measurements and the risk of all-cause mortality in the general population

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