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      Exploring the associations between shift work disorder, depression, anxiety and sick leave taken amongst nurses

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          Abstract

          <p class="first" id="d4947089e224">This study aimed to evaluate the association between shift work disorder and mental health in hospital-based nurses. Staff completed an online survey comprising demographic questions, the Shift Work Disorder Questionnaire, Patient Health-9 and the General Anxiety Disorder-7 scale. Sick leave data were collected from archival records from the Human Resources Department. Two hundred and two nurses (95% female; age M = 35.28 years ± SD = 12) participated (42% of eligible staff). Those at high risk of shift work disorder had higher depression (M = 7.54 ± SD = 4.28 vs. M = 3.78 ± SD = 3.24; p &lt; 0.001) and anxiety (M = 5.66 ± SD = 3.82 vs. M = 2.83 ± SD = 3.33, p &lt; 0.001) compared to those at low risk. Linear regression models showed that being at high risk of shift work disorder was the most significant predictor of depression, explaining 18.8% of the variance in depression (R2  = 0.188, adjusted R2  = 0.184, F(1, 200) = 46.20, p &lt; 0.001). Shift work disorder combined with the number of night shifts and alcoholic drinks on non-work days accounted for 49.7% of the variance in anxiety scores (R2  = 0.497, adjusted R2  = 0.453, F(3, 35) = 11.51, p &lt; 0.001). Mean sick leave in those with high risk of shift work disorder was 136.17 hr (SD = 113.11) versus 103.98 hr (SD = 94.46) in others (p = 0.057). Depression and years of shift work accounted for 18.9% of the variance in sick leave taken (R2  = 0.189, adjusted R2  = 0.180, F(2, 175) = 20.36, p &lt; 0.001). Shift work disorder is strongly associated with depression and anxiety, providing a potential target to improve mental health in shift workers. Depression, in turn, is a significant contributing factor to sick leave. </p>

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          Most cited references25

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          The Patient Health Questionnaire Somatic, Anxiety, and Depressive Symptom Scales: a systematic review.

          Depression, anxiety and somatization are the most common mental disorders in primary care as well as medical specialty populations; each is present in at least 5-10% of patients and frequently comorbid with one another. An efficient means for measuring and monitoring all three conditions would be desirable. Evidence regarding the psychometric and pragmatic characteristics of the Patient Health Questionnaire (PHQ)-9 depression, generalized anxiety disorder (GAD)-7 anxiety and PHQ-15 somatic symptom scales are synthesized from two sources: (1) four multisite cross-sectional studies (three conducted in primary care and one in obstetric-gynecology practices) comprising 9740 patients, and (2) key studies from the literature that have studied these scales. The PHQ-9 and its abbreviated eight-item (PHQ-8) and two-item (PHQ-2) versions have good sensitivity and specificity for detecting depressive disorders. Likewise, the GAD-7 and its abbreviated two-item (GAD-2) version have good operating characteristics for detecting generalized anxiety, panic, social anxiety and post-traumatic stress disorder. The optimal cutpoint is > or = 10 on the parent scales (PHQ-9 and GAD-7) and > or = 3 on the ultra-brief versions (PHQ-2 and GAD-2). The PHQ-15 is equal or superior to other brief measures for assessing somatic symptoms and screening for somatoform disorders. Cutpoints of 5, 10 and 15 represent mild, moderate and severe symptom levels on all three scales. Sensitivity to change is well-established for the PHQ-9 and emerging albeit not yet definitive for the GAD-7 and PHQ-15. The PHQ-9, GAD-7 and PHQ-15 are brief well-validated measures for detecting and monitoring depression, anxiety and somatization. Copyright 2010. Published by Elsevier Inc.
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            Validity of the Brief Patient Health Questionnaire Mood Scale (PHQ-9) in the general population.

            The aim of this study was to assess the validity of the Patient Health Questionnaire depression module (PHQ-9). It has been subject to studies in medical settings, but its validity as a screening for depression in the general population is unknown. A representative population sample (2,066 subjects, 14-93 years) filled in the PHQ-9 for diagnosis [major depressive disorder, other depressive disorder, depression screen-positive (DS+) and depression screen-negative (DS-)] and other measures for distress (GHQ-12), depression (Brief-BDI) and subjective health perception (EuroQOL; SF-36). A prevalence rate of 9.2% of a current PHQ depressive disorder (major depression 3.8%, subthreshold other depressive disorder 5.4%) was identified. The two depression groups had higher Brief-BDI and GHQ-12 scores, and reported lower health status (EuroQOL) and health-related quality of life (SF-36) than did the DS- group (P's < .001). Strong associations between PHQ-9 depression severity and convergent variables were found (with BDI r = .73, with GHQ-12 r = .59). The results support the construct validity of the PHQ depression scale, which seems to be a useful tool to recognize not only major depression but also subthreshold depressive disorder in the general population.
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              Impacts of shift work on sleep and circadian rhythms.

              Shift work comprises work schedules that extend beyond the typical "nine-to-five" workday, wherein schedules often comprise early work start, compressed work weeks with 12-hour shifts, and night work. According to recent American and European surveys, between 15 and 30% of adult workers are engaged in some type of shift work, with 19% of the European population reportedly working at least 2 hours between 22:00 and 05:00. The 2005 International Classification of Sleep Disorders estimates that a shift work sleep disorder can be found in 2-5% of workers. This disorder is characterized by excessive sleepiness and/or sleep disruption for at least one month in relation with the atypical work schedule. Individual tolerance to shift work remains a complex problem that is affected by the number of consecutive work hours and shifts, the rest periods, and the predictability of work schedules. Sleepiness usually occurs during night shifts and is maximal at the end of the night. Impaired vigilance and performance occur around times of increased sleepiness and can seriously compromise workers' health and safety. Indeed, workers suffering from a shift work sleep-wake disorder can fall asleep involuntarily at work or while driving back home after a night shift. Working on atypical shifts has important socioeconomic impacts as it leads to an increased risk of accidents, workers' impairment and danger to public safety, especially at night. The aim of the present review is to review the circadian and sleep-wake disturbances associated with shift work as well as their medical impacts.
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                Author and article information

                Journal
                Journal of Sleep Research
                J Sleep Res
                Wiley
                0962-1105
                1365-2869
                May 29 2019
                May 29 2019
                : e12872
                Affiliations
                [1 ]Institute for Breathing and Sleep Austin Health Heidelberg Victoria Australia
                [2 ]School of Psychological Sciences and Monash Institute of Cognitive and Clinical Neurosciences Monash University Melbourne Victoria Australia
                [3 ]Cooperative Research Centre for Alertness, Safety and Productivity Melbourne Australia
                [4 ]School of Psychology Flinders University Adelaide South Australia Australia
                [5 ]University of Melbourne Parkville Victoria Australia
                [6 ]Adelaide Institute for Sleep Health: A Flinders Centre of Research Excellence Flinders University Adelaide South Australia Australia
                [7 ]Respiratory and Sleep Services Southern Adelaide Local Health Network SA Health Adelaide South Australia Australia
                [8 ]Division of Sleep and Circadian Disorders Departments of Medicine and Neurology Brigham and Women's Hospital Boston Massachusetts
                [9 ]Division of Sleep Medicine Harvard Medical School Boston Massachusetts
                Article
                10.1111/jsr.12872
                31144389
                bc545bdb-0c95-4e7f-b55b-0a7e7ca78069
                © 2019

                http://doi.wiley.com/10.1002/tdm_license_1.1

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