Shift Work Disorder Index: initial validation and psychosocial associations in a sample of nurses

Psychometric Evaluation of the Insomnia Severity Index in Nurses

OBJECTIVES

Examine psychometric properties of the Insomnia Severity Index (ISI) in a sample of nurses.

METHOD

In a sample of day shift nurses (N = 289), a confirmatory factor analysis (CFA), convergent and discriminant validity analyses, and a test-retest reliability analysis were performed.

RESULTS

CFA showed that a two-factor model provided the best fit. The ISI had moderate to poor convergent validity with sleep diary parameters, and moderate convergent validity with the Sleep Condition Indicator (r = -.66), Pittsburgh Sleep Quality Index (r = .66), and PROMIS Sleep-Related Impairment measure (r = .67). The ISI demonstrated good discriminant validity with the measures Composite Scale of Morningness (r = -.27), Nightmares Disorder Index (r = .25), PTSD Checklist for DSM-5 (sleep items removed; r = .32), and Perceived Stress Scale (r = .43). The ISI had weaker discriminant validity with the PHQ-9 (r = .69) and Generalized Anxiety Disorder Screener (r = .51). The ISI demonstrated a good test-retest reliability (ICCs = .74-.88).

CONCLUSIONS

The ISI is a psychometrically strong measure for the assessment of insomnia severity in day shift nurses. Overlap with psychological symptoms, primarily anxiety and depression, suggests caution while interpreting these constructs.

Shift Work Sleep Disorder and Mental Health: An Integrative Review of Neurobiological, Sociological, and Psychological Perspectives With Public Policy Implications

Shift workers support critical 24-hr operations; their health can be impaired by disrupted circadian rhythms and dysfunctional sleep. Shift work sleep disorder (SWSD) is a prevalent condition with significant psychological consequences. Nurse leaders have not yet implemented effective policies to prevent SWSD and optimize shift workers' mental health. The purpose of this integrative review was to examine research about SWSD within the context of neurobiological, sociological, and psychological perspectives that can inform policy changes. The Centers for Disease Control and Prevention Policy Analytic Framework was used to determine the priority recommendations. A search of three databases provided 19 research articles about SWSD and mental health, which illustrated how SWSD is common around the world in many occupations. Backward-rotating schedules and quick returns were risk factors for SWSD. In addition, SWSD was associated with circadian languidity, sleep reactivity, depressive symptoms, and anxiety. Collectively, the studies lacked objective measures of sleep and circadian rhythms, which has hindered the ability to devise interventions that will target the neurobiological causes of SWSD. The research also lacked attention to important sociological factors, such as workers' pay and benefits. Using these findings, nurse leaders can contribute to public policy reforms that increase funding for more rigorous SWSD research. Lawmakers should be advised by nurse leaders to enforce new regulations that provide incentives for employers to create healthier workplaces, such as prohibiting the overuse of schedules that make employees vulnerable to SWSD and providing funds for interventions to prevent SWSD and support mental health.

Association between sleep health and rates of self-reported medical errors in intern physicians: an ancillary analysis of the Intern Health Study

STUDY OBJECTIVES

Reduced sleep duration and work hour variability contribute to medical error and physician burnout. This study assesses the relationships between physician performance, burnout, and the dimensions of sleep beyond hours slept.

METHODS

This was an ancillary analysis of 3 years of data from an international prospective cohort study: the Intern Health Study. Actigraphy data from 3,654 intern physicians capturing sleep timing, regularity, efficiency, and duration were used individually and combined as a composite sleep health index to measure the association of multidimensional sleep patterns on self-reported medical errors and burnout.

RESULTS

From 2017-2019, interns' work hours decreased by 4 hours per week and total sleep time also decreased (6.7 to 5.99 hours), and sleep efficiency, timing, and regularity all worsened (all P < .05). In the 21.2% of participants who committed an error, there was no difference in sleep duration, timing, or regularity. Lower sleep efficiency was associated with higher odds of committing an error (P = .003) and higher burnout scores (P < .001). Although overall sleep quality was poor in the entire cohort, interns in the lowest quintile of sleep duration, regularity, and efficiency had higher burnout scores than those in the best quintile.

CONCLUSIONS

Sleep efficiency, not duration, was associated with increased self-reported medical errors and burnout in intern physicians. Overall sleep quality and duration worsened despite fewer hours worked. Future studies on physician burnout should measure all aspects of sleep health.

CITATION

Hassinger AB, Velez C, Wang J, Mador MJ, Wilding GE, Mishra A. Association between sleep health and rates of self-reported medical errors in intern physicians: an ancillary analysis of the Intern Health Study. J Clin Sleep Med. 2024;20(2):221-227.

Nonlinear relationship between sleep midpoint and depression symptoms: a cross-sectional study of US adults

BACKGROUND

Despite the close relationship between sleep-wake cycles and depression symptoms, the relationship between sleep midpoint and depression symptoms in adults remains understudied.

METHODS

In this cross-sectional study, 18280 adults aged ≥ 18 years from the National Health and Nutrition Examination Survey (NHANES) 2015-2020 were analyzed. Covariates included age, sex, race/ethnicity, education level, marital status, family income, body mass index, smoking status, drinking status, physical activity, comorbid condition, sleep duration, and sleep disturbance were adjusted in multivariate regression models.

RESULTS

Weighted restricted cubic spline based on the complex sampling design of NHANES showed that in participants with a sleep midpoint from 2:18 AM to 6:30 AM, the prevalence of depression symptoms increased by 0.2 times (adjusted odds ratio [OR] = 1.20, 95% confidence interval [CI]: 1.08-1.33) per 1-h increment in sleep midpoint compared to the reference point of 2:18 AM. For participants with a sleep midpoint after 6:30 AM and before 2:18 AM the next day, the relationship between sleep midpoint and depression symptoms was not significant after adjusting for all covariates (adjusted OR = 1.01, 95% CI: 0.99-1.03).

CONCLUSIONS

The findings indicate a significant nonlinear association between sleep midpoint and depression symptoms in a nationally representative sample of adults.