The long-term effect of work schedule, shift work disorder, insomnia and restless legs syndrome on headache among nurses: A prospective longitudinal cohort study.

BACKGROUND: The preset study aimed to explore whether work schedules and sleep disorders predict the onset of headache. METHODS: A longitudinal study was conducted with questionnaire data from 2014 (baseline) and 2017 (follow-up) on work schedule, number of night shifts, number of quick returns, insomnia, shift work disorder (SWD), restless legs syndrome (RLS) and validated headache diagnoses among 1560 Norwegian nurses. Associations were explored by multivariate regression analyses. RESULTS: Work related factors at baseline did not predict onset of headache three years later. In the adjusted logistic regressions, insomnia at baseline predicted increased risk of new onset of migraine (odds ratio (OR) = 1.58; 95% confidence interval (CI) = 1.08-2.33), chronic headache (OR = 2.02; 95% CI = 1.04-4.66) and medication-overuse headache (OR = 3.79; 95% CI = 1.26-11.42) at follow-up. SWD at baseline predicted new onset of migraine (OR = 1.64; 95% CI = 1.07-2.50) and RLS at baseline predicted new onset of headache ≥1 day per month (OR = 1.55; 95% CI = 1.01-2.36) and migraine (OR = 1.55; 95% CI = 1.03-2.32) at follow-up. No factors predicted tension-type headache. CONCLUSIONS: Overall, work related factors did not predict the onset of headache three years later, whereas insomnia, SWD and RLS at baseline all increased the risk of future headaches.

Examining the relationship between non-suicidal self-harm and suicidality within the past 12-months and gaming problems in Norwegian full-time students.

BACKGROUND: Although gaming problems are associated with poor mental health, few population-based studies have examined its association with self-harm and suicidality. This study investigates the association between gaming problems, non-suicidal self-harm and suicidality within the past year, stratified by sex among Norwegian full-time students. METHODS: Data derived from the Norwegian Students' Health and Wellbeing Study 2022 (N = 59,544). The respondents were categorized into non-gamers, recreational gamers, engaged gamers, problematic gamers, and addicted gamers based on the Game Addiction Scale for Adolescents. Log-link binomial regression models, stratified by sex, adjusted for age, were used to estimate the risk ratio of non-suicidal self-harm (ideation and behavior) and suicidal behaviors (ideation and attempt) across different levels of gaming problems. RESULTS: Among females, the risk of non-suicidal self-harm and suicidal ideation increased from non-gamer to problem gamer, with no differences between problem and addicted gamers. Among males, the risk of non-suicidal self-harm increased from non-gamers to engaged gamers, but no differences were observed between engaged, problematic, and addicted gamers. No sex × gaming category interaction was observed for suicide attempts. Engaged and addicted gamers had higher risks of suicide attempt than non-gamers and recreational gamers. CONCLUSIONS: Gaming problems are associated with increased risk of non-suicidal self-harm and suicidal ideation among females. Among males, no differences were observed between engaged, problem and addicted gamers. The results highlight sex when studying health related outcomes and their association to level of gaming problems. Longitudinal studies are warranted to uncover the temporal mechanisms between IGD, non-suicidal self-harm and suicidality.

The association of psychological distress and economic and health worries with tobacco smoking behavior during the COVID-19 pandemic: a two-year longitudinal cohort study.

BACKGROUND: The COVID-19 pandemic and other life events may trigger worries and psychological distress. These impacts may lead to unhealthy behaviors, such as tobacco smoking, but the degree of such associations is unclear. The current three-wave longitudinal study examines changes in tobacco smoking in Norway between 2020 and 2022 and their associations with psychological distress as well as health- and economy-related worries. METHODS: Data were collected in April 2020 (baseline), January 2021, and January 2022 in Bergen, Norway, from an online longitudinal population-based survey. Smoking tobacco (the outcome variable) was dichotomized based on the responses to the question of whether participants smoked cigarettes or not. Tobacco smoking and its associations with psychological distress were assessed among 24,914 participants (response rate 36%) in a mixed model regression presented with coefficients and 95% confidence intervals (CI), adjusting for COVID-19-related worries, home office/study, occupational situation, age, gender, education, having children below 18 years living at home, living alone, and alcohol consumption. RESULTS: A total of 10% of the study sample were current smokers at baseline. At baseline, smoking tobacco was associated with high levels of psychological distress (absolute difference 13%, 95% CI 10%; 15%), advanced age (50-59 years: 11%, CI 10%; 13%), and hazardous alcohol use (4%, CI 3%; 5%) compared to their counterparts. Higher education (-5%, CI -6%; -4%), working from home (-4%, CI -5%; -4%), and higher physical activity levels (-4%, CI -5%; -3%) were associated with non-smoking. The prevalence of smoking among individuals experiencing severe psychological distress decreased slightly over time (-2% per year, CI -3%; -1%). CONCLUSIONS: Smoking was associated with severe psychological distress, advanced age, and hazardous alcohol use at baseline; non-smoking was associated with high education, working from home, and high physical activity. Nevertheless, the smoking rate among individuals experiencing severe psychological distress slightly decreased over the course of the COVID-19 pandemic.

Factors leading to excessive fatigue in nurses - a three-year follow-up study.

BACKGROUND: Global nursing shortages necessitate the identification of mitigatable factors that may reduce nursing absence and turnover. Fatigue has been shown to be associated with these issues. This study aimed to identify factors leading to development of or recovery from excessive fatigue in nurses as these can offer actionable avenues for protecting nurses against fatigue or supporting fatigue recovery. METHODS: A longitudinal study among nurses randomly sampled from the Norwegian Nurse's Organization. The Chalder Fatigue Questionnaire measured fatigue. Dichotomized scoring was used, with scores ≥ 4 considered excessive fatigue. The study included questions on shift work schedules, psychosocial work characteristics, sleep, body mass index, physical activity, caffeine, alcohol, mental health, etc. Two sets of logistic regression analysis were conducted (one for development of and one for recovery from excessive fatigue), evaluating how changes in work, lifestyle and health between baseline (2015) and follow-up (2018) affected first, odds of development of excessive fatigue and second, odds of recovery from excessive fatigue. RESULTS: Among 1,311 included nurses, 21.6% maintained, 13.3% developed, and 18.0% recovered from excessive fatigue (2015-2018). Within work characteristics, increased psychological work demands were associated with development of excessive fatigue OR = 1.77 (CI = 1.11-2.82). Several work characteristics were associated with recovery from excessive fatigue, including decreased decision latitude (OR = 0.39; CI = 0.19-0.82) and increased coworker support (OR = 1.90; CI = 1.11-3.24). Shift work variables were not associated with fatigue outcomes. Amongst lifestyle factors, changes in sleep duration, obesity, and exercise were significant. Notably, developing inappropriate sleep duration (OR = 2.84; CI = 1.47-5.48) increased odds of developing excessive fatigue, while maintaining inappropriate sleep duration (< 6 h or > 8 h) (OR = 0.19; CI = 0.54-0.65) decreased odds of recovering. All assessed health conditions (depression, anxiety, insomnia, and shift work disorder) were related to development of (ORs 2.10-8.07) or recovery from (ORs 0.10-0.50) excessive fatigue. Depression, for example, increased odds of development of (OR = 8.07; CI = 2.35-27.66) and decreased odds of recovery (OR = 0.10; CI = 0.04-0.26) from excessive fatigue. CONCLUSIONS: Changes in lifestyle factors, health conditions, and psychosocial work factors were associated with development of and recovery from excessive fatigue. Sleep and psychosocial work factors played important roles. We found no relationship with shift work schedules.

Predicting hostility towards women: incel-related factors in a general sample of men.

Hostility towards women is a type of prejudice that can have adverse effects on women and society, but research on predictors of men's hostility towards women is limited. The present study primarily introduced predictors associated with misogynist involuntary celibates (incels), and then investigated whether loneliness, rejection, attractiveness, number of romantic and sexual partners, right-wing authoritarianism, and gaming predicted hostility towards women among a more general sample of men. A total of 473 men (aged 18-35, single, heterosexual, UK residents) recruited via Prolific answered the hostile sexism subscale, the misogyny scale, the self-perceived sexual attractiveness scale, the right-wing authoritarianism scale, the game addiction scale for adolescents, the adult rejection-sensitivity scale, the UCLA loneliness scale, and self-developed questions regarding number of sexual and romantic partners, and time spent gaming. We found a strong positive relationship between right-wing authoritarianism and hostility towards women, as well as a strong convex curvilinear relationship between attractiveness and hostility towards women. The number of sexual partners showed a moderate concave relationship with hostility towards women. We did not find sufficient support for a relationship between gaming and hostility towards women, and there was no support that loneliness, rejection, or romantic partners predicted hostility towards women among a general sample of men. Our study supports right-wing authoritarianism and self-perceived attractiveness as potential strong predictors in understanding men's hostility towards women in the wider community. Pre-registration: https://osf.io/ms3a4.

Simulated quick returns in a laboratory context and effects on sleep and pre-sleep arousal between shifts: a crossover controlled trial.

This trial presents a laboratory model investigating the effect of quick returns (QRs, <11 h time off between shifts) on sleep and pre-sleep arousal. Using a crossover design, 63 participants worked a simulated QR condition (8 h time off between consecutive evening- and day shifts) and a day-day (DD) condition (16 h time off between consecutive day shifts). Participants slept at home and sleep was measured using a sleep diary and sleep radar. Compared to the DD condition, the QR condition reduced subjective and objective total sleep time by approximately one hour (both p < .001), reduced time in light- (p < .001), deep- (p = .004), rapid eye movement (REM, p < .001), percentage of REM sleep (p = .023), and subjective sleep quality (p < .001). Remaining sleep parameters and subjective pre-sleep arousal showed no differences between conditions. Results corroborate previous field studies, validating the QR model and indicating causal effects of short rest between shifts on common sleep parameters and sleep architecture.

This trial proposes a laboratory model to investigate the consequences of quick returns (QRs, <11h time off between shifts) on subjective/objective sleep and pre-sleep arousal. QRs reduced total sleep time, light-, deep-, REM sleep, whereas pre-sleep arousal was unaffected. Results emphasise the importance of ensuring sufficient rest time between shifts.Abbreviation: QR: Quick return; DD: Day-day; NREM: Non-rapid eye movement; REM: Rapid eye movement; PSG: Polysomnography; TIB: Time in bed; SOL: Sleep onset latency; WASO: Wake after sleep onset; TST: Total sleep time; EMA: Early morning awakening; PSAS: Pre-Sleep Arousal Scale; MEQ: Morning-Evening Questionnaire; LMM: Linear mixed model; EMM: Estimated marginal mean; SD: Standard deviation; SE: Standard error; d: Cohens' d; h: hours; m: minutes.

Later school start time is associated with longer school day sleep duration and less social jetlag among Norwegian high school students: Results from a large-scale, cross-sectional study.

The present study explored the associations between school start time and sleep habits among older adolescents, and whether these associations depended on circadian preference. The sample comprised 4010 high school students aged 16-17 years who completed a web-based survey on habitual school start time, sleep, and health. The survey included the Munich ChronoType Questionnaire, and the short version of the Horne-Östberg Morningness-Eveningness Questionnaire. Students were categorised according to habitual school start time (before 08:00 hours, 08:00 hours, 08:15 hours, 08:30 hours or after 08:30 hours) and circadian preference (morning, intermediate or evening). Data were analysed using two-way analyses of variance (school start time × circadian preference) and linear regression analyses. Results showed an overall effect of school start time on school day sleep duration (main effect, p < 0.001), with the latest school starters having the longest, and the earliest school starters having the shortest sleep duration (7:03 hr versus 6:16 hr; Tukey HSD p < 0.001). Similarly, later school starters generally reported shorter social jetlag and later school day wake-up times than earlier starting students (both main effect p < 0.001). Circadian preference did not modify these associations (interaction effects p > 0.05). In the crude regression analysis, 15 min later school start was associated with 7.2 min more sleep (p < 0.001). School start time remained a significant predictor of school day sleep duration when adjusted for sex, parental educational level and circadian preference (p < 0.001). Results suggest that school start time is a significant predictor of school day sleep duration among adolescents.

Marital status and gambling disorder: a longitudinal study based on national registry data.

BACKGROUND: Marital status is a robust correlate of disordered gambling, but few studies have examined the direction of this association. METHODS: The present study used a case-control design by including all adults receiving their first gambling disorder (GD) diagnosis between January 2008 to December 2018 (Norwegian Patient Registry, n = 5,121) and compared them against age and gender matched individuals with other somatic/psychiatric illnesses (Norwegian Patient Registry, n = 27,826) and a random sample from the general population (FD-Trygd database, n = 26,695). The study examined marital status before GD, getting divorced as a risk factor for future GD, and becoming married as a protective factor of future GD. RESULTS: The findings indicated an 8-9 percentage points higher prevalence of unmarried people and about a 5 percentage points higher prevalence of separation/divorce among those that subsequently experienced GD compared to controls. Logistic regressions showed that transition through divorce was associated with higher odds of future GD compared to illness controls (odds ratio [OR] = 2.45, 95% CI [2.06, 2.92]) and the general population (OR = 2.41 [2.02, 2.87]). Logistic regressions also showed that transition through marriage was associated with lower odds of future GD compared to illness controls (OR = 0.62, CI [0.55, 0.70]) and the general population (OR = 0.57, CI [0.50, 0.64]). CONCLUSIONS: Social bonds have previously been shown to impact physical and mental health, and the findings of the study emphasize the importance of considering social network history and previous relationship dissolution among individuals with GD.

The relationship between substance use disorder and gambling disorder: A nationwide longitudinal health registry study.

Aim: This study aimed to examine the co-morbidity and temporal relationship between substance abuse disorders (SUDs) and gambling disorder (GD). Method: Cross-tabulated census data were retrieved from the Norwegian Patient Registry. The data included the number of patients by year of first-time incidence of GD and/or SUD diagnoses, age and sex from 2008 to 2017. Results: Approximately 22.5% of GD patients were also diagnosed with SUD, whereas 0.7% of SUD patients were also diagnosed with GD. Among GD patients, males had a greater risk of SUD in the same year compared to females, whereas the risk of SUD a year or more after the onset of GD was greater among females compared to males. Among SUD patients, males had a greater risk of GD in all age categories and across all time periods except among those aged 40-66 years. The risk of GD three to four years after the onset of SUD among those aged 40-66 years was similar between SUD males and females. Discussion: The overall co-morbidity of SUD and GD was low. However, the risk of the other addictive disorder was contingent upon the nature of the first disorder. The risk of SUD among GDs over time was greater among females compared to males. Conclusions: The risk of the other addictive disorder appears to be contingent upon the first addictive disorder. There are sex differences in the risk trajectories of the other addictive disorder over time between GD patients and SUD patients.

Sleep during COVID-19-related school lockdown, a longitudinal study among high school students.

There has been great concern about the impact of coronavirus disease 2019 (COVID-19)-related school lockdown on adolescent health. The aim of the present study was to compare sleep patterns before and during COVID-19-related school lockdown, in a large sample of high school students. The present study is based a prospective, longitudinal survey on adolescent sleep health. Phase 1 was conducted in 2019, whereas phase 2 was conducted in 2020 (response rate 60.2%), during the last 10 days of a 60-day long school lockdown. Main outcomes comprised sleep parameters from the Munich ChronoType Questionnaire (MCTQ). A total of 2,022 students provided valid responses to MCTQ in both survey phases. Results showed later sleep timing on schooldays in 2020 compared to 2019 (36 min later bedtimes, Cohen's d = 0.56; 1:35 hr later rise times, Cohen's d = 1.44). Time spent in bed on schooldays increased from 8:20 to 9:19 hr (Cohen's d = 0.78), and sleep duration increased by 45 min (Cohen's d = 0.49). The proportion of adolescents obtaining the recommended ≥8 hr of sleep on schooldays increased from 13.4% (2019) to 37.5% during the lockdown. Social jetlag was reduced from 2:37 hr (2019) to 1:53 hr (2020, Cohen's d = 0.59). Results points to a potential advantageous effect of school lockdown in terms of increased school day sleep duration and reduced social jetlag. As sleep is important for mental and somatic health, it is conceivable that increased sleep duration offered some protection against harmful aspects of the COVID-19 pandemic and associated social restrictions. Future studies should address possible associations between sleep changes and health during COVID-19-related school lockdown.

Relationships Between Exposure to Different Gambling Advertising Types, Advertising Impact and Problem Gambling.

People with gambling problems report more exposure and impact from gambling advertising, although less is known regarding the role of specific advertising types. Data on gamblers (n = 5830, 48.5% women, mean age = 44.27) was collected from a general population cross-sectional survey in Norway (32.7% response rate). We examined if problem gambling was associated with perceived advertising impact (on gambling involvement, awareness, and knowledge) or exposure (via internet, TV, retail outlet, newspaper, and direct advertising). We also investigated if advertising exposure was associated with advertising impact. ANOVAs revealed that problem gambling was associated with increased perceived advertising impact on gambling involvement (ω2 = 0.09, p < .001) and awareness of gambling (ω2 = 0.04, p < .001). Reported exposure to direct advertising increased linearly with problem gambling level (ω2 = 0.04, p < .001), whereas we found small/no differences in exposure to other types of advertising. Multiple regressions revealed that among advertising types, internet advertising was the strongest predictor of perceived advertising impact on gambling involvement (ß = 0.1, p < .001). TV advertising was the strongest predictor of advertising impact on knowledge of gambling forms and operators (ß = 0.28, p < .001) and awareness of gambling (ß = .05, p < .05). Future studies should elucidate how different subtypes of internet advertising impact gambling involvement. Clinicians should assess clients' experiences with direct advertising and devise interventions for coping. Researchers should be aware that internet and direct advertising allow for more tailored content compared to other advertising types.

The association between shift work disorder and turnover intention among nurses.

BACKGROUND: Shift work disorder (SWD) is highly prevalent among shift-working nurses and has multiple negative health-related effects. There is a dearth of insight into career-related decisions made by nurses suffering from SWD, for instance in terms of their intention to quit work (turnover intention). In this study, we aimed to investigate the association between SWD and turnover intention among nurses, and the individual and work-related correlates of turnover intention. METHOD: Data were derived from the ongoing longitudinal cohort study "SUrvey of Shift work, Sleep and Health (SUSSH)" among Norwegian nurses. An annual survey was initiated in 2008/2009 (N = 2965). The present study used data collected in year 2015 (wave 7) and 2016 (wave 8). Nurses were included if: 1) they were working as nurses in both 2015 and 2016, and 2) had completed a three-item scale adapted from the Michigan Organizational Assessment Questionnaire assessing turnover intention (in wave 8), and 3) did not only work day-shifts. SWD was measured in wave 7 with three questions based on the minimal criteria from the third edition of the International Classification of Sleep Disorders. Job demands, decision latitude, and social support at the workplace were measured with subscales of the Swedish Demand-Control-Support Questionnaire. RESULTS: Eight Hundred eighty-nine nurses were included. The results from the hierarchical linear regression showed that SWD predicted turnover intention one year later, i.e. from 2015 to 2016 (F1,835 = 6.00, p < 0.05; ß = 0.084, p = 0.015). The findings remained significant when controlling for age, sex, organizational tenure, number of nights worked, shift work schedule and workplace social support, job demands and decision latitude. CONCLUSION: This study showed that SWD is associated with turnover intention, even when controlling for individual and work-related variables.

Sleep and work functioning in nurses undertaking inpatient shifts in a blue-depleted light environment.

BACKGROUND: Blue-depleted light environments (BDLEs) may result in beneficial health outcomes for hospital inpatients in some cases. However, less is known about the effects on hospital staff working shifts. This study aimed to explore the effects of a BDLE compared with a standard hospital light environment (STLE) in a naturalistic setting on nurses' functioning during shifts and sleep patterns between shifts. METHODS: Twenty-five nurses recruited from St. Olavs Hospital in Trondheim, Norway, completed 14 days of actigraphy recordings and self-reported assessments of sleep (e.g., total sleep time/sleep efficiency) and functioning while working shifts (e.g., mood, stress levels/caffeine use) in two different light environments. Additionally, participants were asked to complete several scales and questionnaires to assess the symptoms of medical conditions and mental health conditions and the side effects associated with each light environment. RESULTS: A multilevel fixed-effects regression model showed a within-subject increase in subjective sleepiness (by 17%) during evening shifts in the BDLE compared with the STLE (p = .034; Cohen's d = 0.49) and an 0.2 increase in number of caffeinated beverages during nightshifts in the STLE compared with the BDLE (p = .027; Cohen's d = 0.37). There were no significant differences on any sleep measures (either based on sleep diary data or actigraphy recordings) nor on self-reported levels of stress or mood across the two conditions. Exploratory between-group analyses of questionnaire data showed that there were no significant differences except that nurses working in the BDLE reported perceiving the lighting as warmer (p = .009) and more relaxing (p = .023) than nurses working in the STLE. CONCLUSIONS: Overall, there was little evidence that the change in the light environment had any negative impact on nurses' sleep and function, despite some indication of increased evening sleepiness in the BDLE. We recommend further investigations on this topic before BDLEs are implemented as standard solutions in healthcare institutions and propose specific suggestions for designing future large-scale trials and cohort studies. TRIAL REGISTRATION: The study was registered before data collection was completed on the ISRCTN website ( ISRCTN21603406 ).

Sleep in older adolescents. Results from a large cross-sectional, population-based study.

The aim of the present study was to describe sleep patterns in a large and representative sample of Norwegian adolescents. The sample included 4,010 first-year high school students, aged 16-17 years (54% female), who completed a web-based survey on sleep patterns. The process of going to sleep was addressed as a two-step sequence of (a) shuteye latency (interval from bedtime to shuteye time) and (b) sleep onset latency (interval from shuteye time to sleep onset). Results showed that 84.8% of the adolescents failed to obtain the recommended amount of sleep (8+ h) on schooldays, and 49.4% obtained less than 7 h. Mean bedtime on schooldays was 10:33 PM, with rise time 8:19 h later (time in bed). The adolescents reported long school-day shuteye latency (43 min), limiting sleep opportunity to 7:36 h. Sleep onset latency was 32 min and mean school-day sleep duration was only 6:43 h. On free days, 26.3% of the adolescents obtained less than 8 h of sleep, and 11.7% obtained less than 7 h. Mean bedtime was 00:33 AM, time in bed was 10:35 h, shuteye latency was 39 min and sleep onset latency was 24 min. Mean free-day sleep duration was 8:38 h. There were sex differences in several sleep parameters, including shuteye latency. The results indicate that the majority of Norwegian adolescents fail to obtain the recommended amount of sleep (8+ h) on schooldays. Long shuteye latency appears to be a main driver for short school-day sleep duration in adolescents.

Sleep patterns and insomnia in a large population-based study of middle-aged and older adults: The Tromsø study 2015-2016.

Epidemiological studies assessing adult sleep duration have yielded inconsistent findings and there are still large variations in estimation of insomnia prevalence according to the most recent diagnostic criteria. Our objective was to describe sleep patterns in a large population of middle-aged and older adults, by employing accurate measures of both sleep duration and insomnia. Data stem from the Tromsø Study (2015-2016), an ongoing population-based study in northern Norway comprising citizens aged 40 years and older (n = 21,083, attendance = 64.7%). Sleep parameters were reported separately for weekdays and weekends and included bedtime, rise time, sleep latency and total sleep time. Insomnia was defined according to recent diagnostic criteria (International Classification of Sleep Disorders; ICSD-3). The results show that 20% (95% confidence interval,19.4-20.6) fulfilled the inclusion criteria for insomnia. The prevalence was especially high among women (25%), for whom the prevalence also increased with age. For men, the prevalence was around 15% across all age groups. In all, 42% of the women reported sleeping <7 hr (mean sleep duration of 7:07 hr), whereas the corresponding proportion among males was 52% (mean sleep duration of 6:55 hr). We conclude that the proportion of middle-aged and older adults not getting the recommended amount of sleep is worryingly high, as is also the observed prevalence of insomnia. This warrants attention as a public health problem in this population.

The effects of bright light treatment on affective symptoms in people with dementia: a 24-week cluster randomized controlled trial.

BACKGROUND: The majority of people with dementia have behavioral and psychological symptoms of dementia (BPSD), including depression, anxiety and agitation. These may be elicited or aggravated by disrupted circadian rhythms. Bright light treatment (BLT) is a promising non-pharmacological approach to the management of BPSD, but previous research has yielded mixed results. METHODS: Eight nursing home dementia units (1 unit = 1 cluster) with 78 patients were invited to participate in a cluster randomized controlled trial from September 2017 to April 2018 investigating the effects of BLT on sleep and circadian rhythms (primary outcome) and BPSD (secondary outcome). Ceiling mounted LED-panels were installed in the intervention group (four units), providing light at 1000 lx and 6000 K (vertically at 1.2 m) between 10 a.m. and 3 p.m., with lower values in the mornings and evenings. Standard indoor light was used in the control group (four units). BPSD were assessed with The Cornell Scale for Depression in Dementia (CSDD) and the Neuropsychiatric Inventory Nursing Home Version (NPI-NH). Data collection took place at baseline and after 8, 16 and 24 weeks. Multilevel regression models with and without false discovery rate correction were used for the analysis, with baseline values and dementia stage entered as covariates. RESULTS: Sixty-nine patients were included in the study at baseline. Compared to the control group, the intervention group had a larger reduction on the composite scores of both the CSDD (95% CI = - 6.0 - - 0.3) and the NPI-NH (95% CI = - 2.2 - - 0.1), as well as on the NPI-NH Affect sub-syndrome, and the CSDD Mood related signs sub-scale at follow-up after 16 weeks. With FDR correction, the group difference was significant on the CSDD Mood related signs sub-scale (95% CI = - 2.7 - - 0.8) and the NPI-NH Affect sub-syndrome (95% CI = - 1.6 - - 0.2). No differences were found between conditions at weeks 8 or 24. CONCLUSION: Compared to the control condition, affective symptoms were reduced after 16 weeks in the group receiving BLT, suggesting BLT may be beneficial for nursing home patients with dementia. TRIAL REGISTRATION: ClinicalTrials.gov Identifier: NCT03357328 . Retrospectively registered on November 29, 2017.

Ambient bright light treatment improved proxy-rated sleep but not sleep measured by actigraphy in nursing home patients with dementia: a placebo-controlled randomised trial.

BACKGROUND: Up to 70% of nursing home patients with dementia suffer from sleep problems. Light is the main zeitgeber to the circadian system and thus has a fundamental impact on sleep-wake behaviour. Low indoor light levels in nursing homes have been reported, and in combination with age-related reductions in light sensitivity, insufficient light exposure is likely to contribute to sleep problems in this population. Increasing daytime light exposure using bright light treatment (BLT) may represent a feasible non-pharmacological treatment for sleep problems in nursing home patients with dementia. METHODS: The present study reports on sleep outcomes, which are the primary outcomes of the DEM.LIGHT trial (Therapy Light Rooms for Nursing Home Patients with Dementia- Designing Diurnal Conditions for Improved Sleep, Mood and Behavioural Problems), a 24-week cluster-randomised placebo-controlled trial including 8 nursing home units and 69 resident patients. The intervention comprised ambient light of 1000 lx and 6000 K from 10:00 to 15:00, with gradually increasing and decreasing light levels prior to and following this interval, using ceiling mounted light-fixtures and light emitting diode technology. The placebo condition had continuous standard light levels (150-300 lx, ~ 3000 K). Sleep was assessed at baseline and follow-up at week 8, 16, and 24, using the proxy-rated Sleep Disorder Inventory (SDI) and actigraphy (Actiwatch II, Philips Respironics). Mixed linear models were used to evaluate intervention effects, adjusting for relevant covariates such as age, gender, number of drugs, severity of dementia, eye disease, and estimated light exposure. RESULTS: Sleep as measured by the SDI was significantly improved in the intervention group compared to the control group from baseline to week 16 (B = - 0.06, 95% CI -0.11 - -0.01, p < .05) and from baseline to week 24 (B = - 0.05, 95% CI -0.10 - -0.01, p < .05). There was no effect according to the SDI at week 8 and no significant effects in terms of actigraphically measured sleep. CONCLUSIONS: Proxy-rated sleep improved among nursing home patients with dementia following 16 and 24 weeks of BLT. These improvements were not corroborated by actigraphy recordings. TRIAL REGISTRATION: ClinicalTrials.gov Identifier: NCT03357328 . Registered 29 November 2017 - Retrospectively registered.

Associations between exposure to workplace bullying and insomnia: a cross-lagged prospective study of causal directions.

OBJECTIVE: Workplace bullying has been established as a significant correlate of sleep problems. However, little is known regarding the causal direction between bullying and sleep. The aim of this study was to examine temporal relationships between bullying and symptoms of insomnia. METHODS: Reciprocal and prospective associations between exposure to workplace bullying and symptoms of insomnia were investigated in a national probability sample comprising 1149 Norwegian employees. Data stemmed from a two-wave full panel survey study with a 6-month time interval between the baseline and follow-up assessments. Models with stabilities, forward-, reverse-, and reciprocal associations were tested and compared using Structural Equation Modelling. Analyses were adjusted for age, gender, and the stability in the outcome variables over time. Workplace bullying was assessed with the nine-item Short Negative Acts Questionnaire. Insomnia was assessed with a previously validated three item scale reflecting problems with sleep onset, sleep maintenance, and early morning awakening. RESULTS: The forward association model, which showed that exposure to workplace bullying prospectively increased levels of insomnia (b = 0.08; p < 0.001), had best fit with the data [CFI = 0.94; TLI = 0.93; RMSEA = 0.049 (0.046-0.052)]. The reverse association model where insomnia influences risk of being subjected to bullying was not supported. CONCLUSION: Workplace bullying is a risk factor for later insomnia. There is a need for further studies on moderating and mediating variables that can explain how and when bullying influence sleep.

Predictors of turnover intention among Norwegian nurses: A cohort study.

BACKGROUND: Shortage of nurses and instability in the nursing workforce due to turnover have become a global concern. PURPOSE: The aim of this study was to investigate whether symptoms of psychological distress mediated the impact of age, gender, workplace bullying, job satisfaction, and hardiness on turnover intention when controlling for living with children, marital status, percentage of full-time equivalent, and number of night shifts last year and whether the same variables (except full-time equivalent and number of night shifts last year) could predict real turnover. METHODS: In all, 1,246 nurses took part in a survey in 2008/2009 (T1) assessing symptoms of insomnia, sleepiness, anxiety, depression, fatigue, alcohol consumption, age, gender, workplace bullying, job satisfaction, and hardiness. Three years (T2) later they completed a survey assessing turnover intention, living with children, marital status, percentage of full-time equivalent, and number of night shift last year. A total of 99 nurses had left the nursing profession during this period. RESULTS: Workplace bulling was positively related to turnover intention, whereas job satisfaction and hardiness were negatively related to turnover intention. The impact of all three predictors was partly mediated by symptoms of insomnia and anxiety. Age was negatively whereas male gender was positively associated with turnover intention. These effects were partly mediated by harmful alcohol use. Nurses who were living with a partner at T2 and nurses with high scores on fatigue at T1 were more prone to leave the nursing profession during the study period compared to their counterparts. CONCLUSION: Symptoms like insomnia, anxiety, and alcohol consumption may mediate the impact of working conditions and personality traits associated with turnover intention in nurses. PRACTICE IMPLICATIONS: Interventions aiming at counteracting bullying, improving job satisfaction, and alleviating fatigue may reduce turnover intention/turnover.

Sleep patterns among Norwegian nurses between the first and second wave of the COVID-19 pandemic.

BACKGROUND: Nurses are in the frontline and play an important role in the battle against the COrona VIrus Disease-2019 (COVID-19) pandemic. Sleep problems among health care workers are likely to increase due to the pandemic. However, it is conceivable that negative health outcomes related to the pandemic fluctuate with the infection rate waves of the pandemic. The present study aimed to investigate sleep patterns among Norwegian nurses, after the first wave, during a period with very low rates of COVID-19. METHODS: Data stemmed from the cohort study "SUrvey of Shift work, Sleep and Health (SUSSH)" among Norwegian nurses. A total of 1532 nurses responded one time to a questionnaire between June and September in 2020 including items about demographics and work, information about COVID-19 and quarantine, sleep patterns and changes in sleep patterns due to the pandemic. Descriptive statistics for all relevant variables were calculated and McNemar tests were used to compare categorical variables. RESULTS: The majority of nurses (84.2%) reported no change in sleep duration after the first wave of the COVID-19 pandemic compared to before, 11.9% reported less sleep, and 3.9% reported more sleep. Similarly, 82.4% of the nurses reported no change in their sleep quality, whereas 16.2% of the nurses reported poorer sleep quality after the first wave of the pandemic compared to before. The majority of nurses reported no change in their sleep schedule due to the pandemic, although 9.6% of the nurses reported to go to bed later and 9.0% woke up earlier than before the pandemic. CONCLUSIONS: Most existing literature exploring sleep among health care workers during the COVID-19 pandemic has been carried out during periods with high infection rates. In this study we aimed to investigate sleep patterns among Norwegian nurses following the first wave, during a period of low COVID-19 rates in Norway. Most of the nurses reported no change in neither sleep duration, sleep quality, bedtime, nor wake-up times compared to before the pandemic. Still, nearly 12% reported shorter sleep duration, and about 16% reported poorer sleep quality indicating that some nurses experienced worsening of their sleep following the pandemic.