An evening light intervention reduces fatigue and errors during night shifts: A randomized controlled trial

Cyr, Mariève; Artenie, Despina Z.; Bikaii, Alain Al; Lee, Virginia; Raz, Amir; Olson, Jay A.

doi:10.1016/j.sleh.2023.02.004

Cited by 5 publications

(3 citation statements)

References 15 publications

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“…The finding in this study that the risk of menstrual irregularity remains high among shift workers regardless of sleep duration highlights the importance of recognizing the adverse effects of circadian rhythm disruption rather than just sleep deprivation. Therefore, interventions aimed at minimizing circadian rhythm disruption, such as optimizing work schedule patterns [ 56 ] and implementing light therapy [ 57 ], may be necessary to alleviate the adverse effects of shift work on menstrual cycles.…”

Section: Discussionmentioning

confidence: 99%

Factors influencing menstrual regularity among female workers: a cross-sectional analysis study

Shim,

Han,

Baek

2024

BMC Women's Health

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Background Regularity of menstrual cycles is an important indicator of women’s health and fertility, and female workers are exposed to several factors, such as sleep disorders, stress, and shift work, that affect their menstrual regularity. This makes it necessary to comprehensively identify the determinants of menstrual regularity. Therefore, this study identified the factors affecting menstrual regularity among female workers from physiological, psychological, and situational dimensions based on the theory of unpleasant symptoms. Methods This was a secondary analysis of the 2010–2012 Korea National Health and Nutrition Examination Survey and utilized the data of 2418 female workers. Based on the theory of unpleasant symptoms, physiological factors included age, age at menarche, childbirth experience, body mass index, and sleep duration. Psychological factors included stress level, depressive mood, and suicidal ideation. Situational factors included education level, household income, consumption of alcohol, engagement in smoking, and work schedule. The χ²-test and hierarchical logistic regression analysis were performed, reflecting the complex sample design. Results Age at menarche, childbirth experience, and body mass index among physiological factors and education level and work schedule among situational factors were found to be related to menstrual regularity. A higher risk of menstrual irregularities was found among those who had given birth (versus those who had not), had a high age at menarche (versus those with a low age at menarche), were obese (versus those who had a normal body mass index), had elementary school-level or lesser educational achievements (versus those with college graduate-level or higher educational achievements), and who had a shift work schedule (versus those with a fixed schedule). Conclusions Intervention is needed for female workers who have these risk factors, and special attention must be paid to female workers who have a shift work schedule. Additionally, since body mass index can be controlled, intervention concerning body mass index is necessary to reduce menstrual irregularity.

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Section: Discussionmentioning

confidence: 99%

Factors influencing menstrual regularity among female workers: a cross-sectional analysis study

Shim,

Han,

Baek

2024

BMC Women's Health

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“…All of the studies except three (Booker et al, 2022;Cyr et al, 2023;Mousavi et al, 2020) 1). Ten studies used an objective measure of sleep-related outcomes (Aarts et al, 2020;Boivin et al, 2012;Chang et al, 2017;Franco et al, 2012;Hausswirth et al, 2022;Hsu et al, 2021;Jensen et al, 2016;Niu et al, 2021;Rahman et al, 2013).…”

Section: Outcome Measuresmentioning

confidence: 97%

“…Table 2 summarizes the biases and qualities of the RCTs. Overall, 7 out of 22 RCTs were graded as low risk of bias (good quality) (Baradari et al, 2018;Chang et al, 2017;Cyr et al, 2023;Hsu et al, 2021;Mousavi et al, 2020;Niu et al, 2021;Zhang et al, 2020), and the rest were graded as high risk of bias. Dropout rates of the RCTs were moderate, with 10 RCTs reporting dropout rates of <10%, and 12 RCTs reporting dropout rates from 12.5% to 77% (Aarts et al, 2020;Bjorvatn et al, 2021;Booker et al, 2022;Carter et al, 2013;Dahlgren et al, 2022;Fang & Li, 2015;Hoshi et al, 2022;Lee et al, 2014;Morimoto et al, 2016;Omeogu et al, 2020;Scott et al, 2010b;Zhang et al, 2020).…”

Section: Quality Appraisalmentioning

confidence: 99%

Interventions to improve the sleep of nurses: A systematic review

Zhang,

Murphy,

Lammers‐van der Holst

et al. 2023

Research in Nursing & Health

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Nurses are at a high risk for short sleep duration and poor sleep quality due to irregular work schedules and high occupational stress. Considering the effect of nurses' sleep on the safety and health of themselves and their patients, it is important to promote healthy sleep for nurses. We sought to synthesize the published experimental and quasi‐experimental studies that address interventions to improve sleep in nurses. A systematic search was conducted for studies published in English up until May 15, 2023, using the databases PubMed, CINAHL, Academic Search Ultimate, and PsycINFO. In total, 38 articles were included, covering 22 experimental and 16 quasi‐experimental studies with sample sizes ranging from 9 to 207. Studies were assessed using the Cochrane Risk of Bias tool and considered as low to medium quality. Thirty‐six of the 38 studies reported positive findings for at least one sleep outcome. Intervention types included aroma therapy, dietary supplements, cognitive behavioral therapy, light therapy, mind‐body therapy, sleep education, exercise, napping, shift schedule modification, and multicomponent intervention, all of which showed moderate effectiveness in promoting sleep outcomes of nurses. Comparing and contrasting studies on specific interventions for improving sleep in nurses is sparse and often equivocal. With the variations of research methodology and outcome measures, it is difficult to make a conclusion about each intervention's effectiveness on specific sleep outcomes. Additional high‐quality research, including randomized controlled trials, is needed to evaluate strategies for improving sleep in this unique, safety‐sensitive occupational group.

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