Who is at risk for having persistent insomnia symptoms? A longitudinal study in the general population in Korea

The study aimed to characterize insomnia symptom trajectories over 12 months during a time of stress and uncertainty, the coronavirus disease 2019 (COVID-19) pandemic. It also aimed to investigate sleep and psychological predictors of persistent insomnia symptoms. This longitudinal cohort study comprised 2069 participants with and without insomnia symptoms during the first year of the pandemic. Participants completed online surveys investigating sleep, insomnia, and mental health at four timepoints over 12 months (April 2020-May 2021). Additional trait-level cognitive/psychological questionnaires were administered at 3 months only. Six distinct classes of insomnia symptoms emerged: (1) severe persistent insomnia symptoms (21.65%), (2) moderate persistent insomnia symptoms (32.62%), (3) persistent good sleep (32.82%), (4) severe insomnia symptoms at baseline but remitting over time (2.27%), (5) moderate insomnia symptoms at baseline but remitting over time (7.78%), and (6) good sleep at baseline but deteriorating into insomnia symptoms over time (2.85%). Persistent insomnia trajectories were predicted by high levels of sleep reactivity, sleep effort, pre-sleep cognitive arousal, and depressive symptoms at baseline. A combination of high sleep reactivity and sleep effort reduced the odds of insomnia remitting. Higher sleep reactivity also predicted the deterioration of good sleep into insomnia symptoms over 12 months. Lastly, intolerance of uncertainty emerged as the only trait-level cognitive/psychological predictor of insomnia trajectory classes. Insomnia was more likely to persist than remit over the first year of the COVID-19 pandemic. Addressing sleep reactivity and sleep effort appears critical for reducing insomnia persistence rates after times of stress and uncertainty.

Introduction Napping, episodes of short daytime sleep separated from the main sleep period, can compensate for the detrimental effects of inadequate night-time sleep or, as ‘siestas’, may form an integral part of personal sleep-wake schedules. Napping may also precipitate or perpetuate insomnia symptoms through the erosion of homeostatic sleep pressure at night. Using longitudinal data, these analyses were designed to evaluate links between daytime napping styles and the incidence of persistent insomnia symptoms, in a sample of middle aged and older adult good sleepers at baseline. Methods 567 participants (65% female; >35 years old) were sub-sampled from the NITES cohort (Perlis et al, 2019). All were self-rated good sleepers, reporting typical sleep latencies (5 nights/week) and WASO durations of = 1 nap/baseline period) or habitual (>= 2 naps/week). ‘Persistent insomnia symptoms’ cases reported sleep initiation and/or maintenance complaints on >= 3 nights/week for at least two consecutive weeks. Relationships between nap categories and the incidence of persistent insomnia symptoms arising in months 4–12 of the study were assessed in logistic regression models adjusted for age, gender, employment status and depression. Risk is expressed as the odds ratio (OR) with 95% confidence interval (CI). Results Prevalence rates for ever/habitual napping were 57% and 10%. Unemployed status and aged 50+ significantly increased habitual nap probability. The 1-year incidence of persistent insomnia symptoms was 5.6%. In logistic regression models, ‘ever’ napping was associated with an almost 3-fold increase in the risk of developing persistent insomnia symptoms (OR=2.994; 95% CI 1.244–6.969; p=.014). When the logistic regression model was rerun with habitual napping, the risk attenuated substantially (OR = 1.4, 95% CI .592–3.163; p=.463). Conclusion These results suggest that napping patterns serve as a marker for insomnia symptom development, with haphazard non-habitual napping patterns associated with significantly greater risk. Support (if any) RP: Loughborough University doctoral studentship; MP: K24AG055602 & R01AG041783 (NITES).

This study examined demographic, military, and clinical characteristics associated with combat-related concussion and persistent postconcussive symptoms; and how combat-related concussion and persistent postconcussive symptoms and a novel 5-factor model of posttraumatic stress disorder (PTSD) symptoms are related to physical and mental health-related quality of life in veterans who served in Iraq and Afghanistan. 233 veterans recruited from the Veterans Affairs Hawaii Program Registry who served in Iraq and Afghanistan completed a survey in 2010 that assessed combat-related concussion and persistent postconcussive symptoms, PTSD (DSM-IV criteria), alcohol use problems, and physical and mental health-related quality of life. The primary measure was physical and mental health-related quality of life as assessed by the 12-item Short-Form Health Survey, version 2. Veterans who screened positive for combat-related concussion and persistent postconcussive symptoms were more likely than those who did not to report direct combat exposure (χ2 = 15.46, P < .001), living in a rural area (χ2 = 6.86, P < .01), and screening positive for PTSD (χ2 = 37.67, P < .001) and alcohol use problems (χ2 = 11.62, P < .01); 57.3% of veterans who screened positive for combat-related concussion and persistent postconcussive symptoms screened positive for PTSD. In bivariate analyses, combat-related concussion and persistent postconcussive symptoms were associated with lower scores on measures of physical and mental health-related quality of life (r = -0.27 to -0.45, P < .001). In multivariate analyses, combat-related concussion and persistent postconcussive symptoms were no longer related to these outcomes, with PTSD-related dysphoric arousal symptoms as the strongest predictor of physical health-related quality of life (β = -0.55, P < .001) and PTSD-related emotional numbing symptoms (β = -0.56, P < .001) as the strongest predictor of mental health-related quality of life. Results of this study suggest that a 5-factor model of PTSD symptoms may provide greater specificity in understanding the relation between combat-related concussion and persistent postconcussive symptoms, PTSD symptoms, and health-related physical and mental quality of life in Iraq/Afghanistan veterans. Psychiatric clinicians should consider this heterogeneity of PTSD symptoms when assessing and treating symptomatic veterans.

Recent studies have suggested that structural abnormalities in insomnia may be linked with alterations in the default-mode network (DMN). This study compared cortical thickness and structural connectivity linked to the DMN in patients with persistent insomnia (PI) and good sleepers (GS). The current study used a clinical subsample from the longitudinal community-based Korean Genome and Epidemiology Study (KoGES). Cortical thickness and structural connectivity linked to the DMN in patients with persistent insomnia symptoms (PIS; n = 57) were compared to good sleepers (GS; n = 40). All participants underwent MRI acquisition. Based on literature review, we selected cortical regions corresponding to the DMN. A seed-based structural covariance analysis measured cortical thickness correlation between each seed region of the DMN and other cortical areas. Association of cortical thickness and covariance with sleep quality and neuropsychological assessments were further assessed. Compared to GS, cortical thinning was found in PIS in the anterior cingulate cortex, precentral cortex, and lateral prefrontal cortex. Decreased structural connectivity between anterior and posterior regions of the DMN was observed in the PIS group. Decreased structural covariance within the DMN was associated with higher PSQI scores. Cortical thinning in the lateral frontal lobe was related to poor performance in executive function in PIS. Disrupted structural covariance network in PIS might reflect malfunctioning of antero-posterior disconnection of the DMN during the wake to sleep transition that is commonly found during normal sleep. The observed structural network alteration may further implicate commonly observed sustained sleep difficulties and cognitive impairment in insomnia.

This population-based cohort study was performed to assess the association between sleep disturbances and the risk of occupational accidents among women. Data were collected by questionnaires on two different occasions (2000 and 2010) and data on work injuries were also collected from Swedish government records (ISA). Insomnia symptoms were defined as having severe or very severe problems with (i) difficulty initiating sleep, (ii) difficulty maintaining sleep, or (iii) early morning awakening. Symptom of obstructive sleep apnea syndrome (OSAS) was defined as reporting both snoring and daytime sleepiness. Working-age respondents (20-67 years of age) who responded to both baseline and follow-up questionnaires and had worked for part or all of the 10-year follow-up period (N=4320) were included in the study. Of the subjects responding to the questionnaire, 12.2% reported ≥1 accident and 6.3% reported an accident requiring sick leave in the government register. Blue-collar workers and night and shift work were more common in the group with occupational accidents. Subjects with insomnia symptoms both at baseline and follow-up (persistent insomnia symptoms) ran a higher risk of being involved in an self-reported occupational accident [adjusted OR (OR adj) 1.5, 95% confidence interval (95% CI) 1.2-2.0] after adjusting for age, body mass index, smoking, alcohol dependency, white- or blue-collar worker, years at work, night work, and physical activity. Persistent insomnia symptoms did not reach statistical significance as an independent predictor of register-reported occupational accident with sick leave (OR adj1.4, 95% CI 0.99-2.1). No significant association was found between symptoms of OSAS and self-reported or register-based occupational accidents. Persistent insomnia symptoms were associated with an increased risk of self-reported occupational accidents, while no significant association was found with occupational accidents with sick leave reported to government register.

BackgroundThere remains scarcity of literature regarding the patient's health status post-COVID-19 infection. This study analyzes the prevalence of residual symptoms and quality of life (QoL) after COVID-19. MethodsAn anonymous online survey was administrated in Pakistan from November 2020 to April 2021 in COVID-19 survivors. The questionnaire used the 12-Item Short Form Health Survey (SF-12) to assess mental and physical QoL. Multivariate linear regression was used to explore factors associated with mental and physical QoL scores. ResultsA total of 331 COVID-19 survivors participated in our survey. Around 42.0% of the cohort reported within 1–3 months of diagnosis of COVID-19. The common residual symptoms were body aches (39.9%), low mood (32.6%), and cough (30.2%). Better physical QoL was associated with being male (adjusted beta: 3.328) and having no residual symptoms (6.955). However, suffering from nausea/vomiting during initial COVID-19 infection (−4.026), being admitted to the ICU during COVID-19 infection (−9.164), and suffering from residual body aches (−5.209) and low mood (−2.959) was associated with poorer QoL. Better mental QoL was associated with being asymptomatic during initial COVID-19 infection (6.149) and post-COVID (6.685), while experiencing low mood post-COVID was associated with poorer mental QoL (−8.253 [-10.914, −5.592]). ConclusionDespite presumed “recovery” from COVID-19, patients still face a wide range of residual symptoms months after initial infection, which contributes towards poorer QoL. Healthcare professionals must remain alert to the long-lasting effects of COVID-19 infection and aim to address them appropriately to improve patients’ QoL.

US service members injured in the recent conflicts in Iraq and Afghanistan were more likely to survive than those in previous conflicts because of advances in medicine and protective gear. However, there is limited research examining the long-term impact of injuries while deployed on physical and mental quality of life (QOL) among service members. We used data from two time-points with an average follow-up period of 4.27 years (SD = 2.13; n = 118,054) to prospectively examine the association between deployment and injury status with QOL. Data were derived from the Millennium Cohort Study surveys (2001 to 2016) and linked with the Department of Defense Trauma Registry (DoD-TR) among a cohort of US service members from all branches and components. The primary predictor (a combination of deployment and injury status) was comprised of the following four categories: 1) not deployed, 2) deployed and not injured, 3) deployed and non-battle injured, and 4) deployed and battle injured. Demographic, military, psychological and behavioral health, and life stress factors were adjusted for in multivariable models. Outcomes of interest were physical and mental QOL from the Short-Form Health Survey for Veterans (VR-36) measured at ~4 year follow-up. Between group comparisons indicated that those deployed and battle-injured had the greatest decline in both mental (-3.82) and physical (-10.13) QOL scores over time (p < .05). While deployment and injury status were associated with poorer mental and physical QOL in adjusted models; only the association between deployment and injury status with physical QOL was clinically meaningful (more than 2.5). In adjusted models, Time 1 mental and physical QOL explained most of the variance (23–25%) in Time 2 mental and physical health QOL as compared to other covariates (e.g., injury and deployment, and other sociodemographic factors increased variance by ~5%). Time 1 QOL was the most significant predictor of later QOL, but those injured while deployed experienced significant and meaningful decrements to long-term physical QOL. This suggests that prevention and rehabilitation interventions should focus on improving physical health among injured service members to avoid long-term adverse effects.

US service members injured in the recent conflicts in Iraq and Afghanistan were more likely to survive than those in previous conflicts because of advances in medicine and protective gear. However, there is limited research examining the long-term impact of injuries while deployed on physical and mental quality of life (QOL) among service members. We used data from two time-points with an average follow-up period of 4.27 years (SD = 2.13; n = 118,054) to prospectively examine the association between deployment and injury status with QOL. Data were derived from the Millennium Cohort Study surveys (2001 to 2016) and linked with the Department of Defense Trauma Registry (DoD-TR) among a cohort of US service members from all branches and components. The primary predictor (a combination of deployment and injury status) was comprised of the following four categories: 1) not deployed, 2) deployed and not injured, 3) deployed and non-battle injured, and 4) deployed and battle injured. Demographic, military, psychological and behavioral health, and life stress factors were adjusted for in multivariable models. Outcomes of interest were physical and mental QOL from the Short-Form Health Survey for Veterans (VR-36) measured at ~4 year follow-up. Between group comparisons indicated that those deployed and battle-injured had the greatest decline in both mental (-3.82) and physical (-10.13) QOL scores over time (p < .05). While deployment and injury status were associated with poorer mental and physical QOL in adjusted models; only the association between deployment and injury status with physical QOL was clinically meaningful (more than 2.5). In adjusted models, Time 1 mental and physical QOL explained most of the variance (23-25%) in Time 2 mental and physical health QOL as compared to other covariates (e.g., injury and deployment, and other sociodemographic factors increased variance by ~5%). Time 1 QOL was the most significant predictor of later QOL, but those injured while deployed experienced significant and meaningful decrements to long-term physical QOL. This suggests that prevention and rehabilitation interventions should focus on improving physical health among injured service members to avoid long-term adverse effects.

ObjectiveThe primary objective of this study was to assess a change in the psychological states (stress, self-esteem, anxiety and depression), anthropometric measurements and physical/mental quality of life before and after diet in a sample of Lebanese subjects visiting a diet clinic. The secondary objectives included the evaluation of factors associated with body dissatisfaction, mental and physical quality of life (QOL) before the intervention of the diet program and the change in quality of life after this intervention among those participants.MethodsThis cross-sectional study, conducted between May and August 2018, enrolled 62 participants recruited from three diet clinics. The QOL was measured using the 12-item Short Form Health Survey (SF-12) and the psychological states was measured using the following scales: The Rosenberg Self-esteem Scale, Perceived Stress Scale, Hamilton Anxiety Rating Scale and Hamilton Depression Rating Scale.ResultsA significant reduction in body dissatisfaction, anxiety, waist, weight and body fat and a significant increase in the physical and mental quality of life was seen after diet compared to before it (p < 0.001 for all). No significant variation in perceived stress (p = 0.072), self-esteem (p = 0.885), and depression (p = 0.353) after diet were found. Higher BMI (β = 0.440) and higher anxiety (β = 0.132) were associated with higher body dissatisfaction scores, whereas higher self-esteem (β = − 0.818) was significantly associated with lower body dissatisfaction. Higher perceived stress (β = − 0.711), higher body dissatisfaction (β = − 0.480) and being a female (β = − 4.094) were associated with lower mental QOL. Higher Physical Activity Index was significantly associated with higher mental and physical QOL (β = 0.086 and β = 0.123 respectively).ConclusionThe results indicate the effectiveness of diet programs in enhancing the quality of life, psychological and anthropometric measures.

Loneliness is a significant public health challenge in the United States, especially among older adults. The epidemiology of loneliness among older adults in primary care is lacking, and specific research is needed on how loneliness impacts older primary patients' physical, mental, and cognitive health. A large sample of older primary care patients were recruited for a trial during the COVID-19 pandemic to measure the relationship between loneliness and physical and mental quality of life (QOL). Baseline data come from the Caregiver Outcomes of Alzheimer's Disease Screening (COADS) study, an ongoing randomized controlled trial evaluating benefits and risks of Alzheimer's disease and related dementias screening among primary care patients ages 65 and older, collected April 2020 to September 2021. Loneliness was measured with the 5-item, Loneliness Fixed Form Ages 18+ from The NIH Toolbox Emotion Battery, physical and mental health-related QOL was measured with the SF-36v2, and depression and anxiety severity were measured with the PHQ-9 and GAD-7, respectively. Spearman correlation analyses revealed that loneliness was moderately correlated with mental health QOL (r[601] = -0.43, p < 0.001), anxiety severity (r[601] = 0.44, p < 0.001), and depression severity (r[601] = 0.42, p < 0.001), while weakly correlated with physical health QOL (r[601] = -0.15, p < 0.001). After conducting unadjusted and adjusted linear regression models, we found that loneliness was significantly associated with both lower mental (p < 0.001) and physical (p < 0.001) QOL. Furthermore, loneliness remained significantly associated with worse mental QOL after adjusting for age, gender, race, ethnicity, educational level, perceived income status, neighborhood disadvantage, severity of comorbidities, and comorbid depression and anxiety. Primary care providers should discuss loneliness with their older adult patients and provide resources to help patients develop and maintain meaningful social relationships.

Objective: Insomnia and fatigue are common, although not inevitable, during breast cancer. This study is one of the first aiming to describe distinct trajectory classes of insomnia and fatigue symptoms, and their correlates, from diagnosis through treatment. Methods: This longitudinal cohort study was conducted at a comprehensive cancer center and community oncology practices. Participants (N = 460) were women diagnosed with any stage of breast cancer in the previous 4 months. Primary outcomes for this ancillary study of the existing cohort were self-reported insomnia and fatigue symptoms assessed repeatedly across 12 months. Results: Four distinct classes of insomnia symptoms emerged: persistently very high, clinically elevated symptoms (13.7%); high, clinically elevated symptoms (65.9%); stable low (17.2%) or very low (2.6%) symptoms. Five fatigue symptom classes included high, increasing fatigue (9.6%), two recovery classes starting at high (26.3%), or moderate (18.0%) severity at diagnosis, stable low (33.3%) or very low (12.2%) classes. In multivariate analyses, higher depressive symptoms, anxiety, and chronic life stress were associated with being in the very high insomnia class versus the low symptom class. Oncologic factors were not associated with insomnia class membership. Receiving chemotherapy was linked significantly to high and recovery fatigue symptom classes versus the low class. Higher chronic life stress was associated with more persistent fatigue symptoms. Conclusions: Distinct classes of insomnia and fatigue symptoms were evident; 79.6% of the women had clinically elevated, persistent insomnia symptoms, 53.9% had elevated fatigue. A substantial minority evidenced low symptoms, suggesting targeted or stepped-care approaches to symptom management.

Introduction Sleeping problems are associated with physical and mental conditions as well as quality of life (QoL). This study aimed to evaluate the association between sleep characteristics and QoL in a middle-aged population. Methods This cross-sectional study included 4051 adults (1751 males and 2300 females) aged 30-50 who were selected through a multi-stage stratified sampling based on sex, age, and region between 2017 and 2019. Sociodemographic, sleep characteristics, and QoL were evaluated and compared. Sleep characteristics were determined using the Pittsburgh Sleep Quality Index, and were defined as sleep duration (SD), sleep quality (SQ), sleep efficiency (SE), and sleep latency (SL). QoL was evaluated using the SF-12, which calculated physical and mental QoL. Degrees of insomnia symptoms were classified into 0-3 by summing up the number of cases of sleep duration (≤6.5 hours), sleep efficiency (&amp;lt; 85%), and sleep latency (&amp;gt; 30 min). We used linear regression models to estimate the relationship between sleep characteristics and degrees of insomnia symptoms with QoL, adjusting for sociodemographic covariates. Results Sleep characteristics of the participants include average sleep duration 6.8 hours (≤6 h short, 45%; ≥9 h long, 3%), sleep quality 4.6 points (poor SQ, 29%), sleep efficiency 94.5% (&amp;lt; 85% SE, 11%), and sleep latency 19.7 minutes (&amp;gt;30 min SL, 9%). About 26% had one insomnia symptom and 11% had two or more insomnia symptoms. All sleep characteristics showed significant associations with physical and mental QoL. Particularly, physical QoL was associated with long SD (coefficients [B]: -1.56, 95% confidence interval [CI]: -2.77, -0.35), low SE (B: -2.32, 95% CI: -2.94, -1.7), and long SL (B: -3.3, 95% CI: -3.97, -2.6), and mental QOL was associated with low SE (B: -3.3, 95% CI: -4.0, -2.5) and long SL (B: -5.1, 95% CI: -5.8, -2.5). Physical and mental QoL was significantly linearly decreased with number of insomnia symptoms (for physical QoL, B: -0.87, -2.87, and -4.24; for mental QoL, B: -1.1, -4.01, and -5.9, by number of insomnia symptoms 1, 2, and 3, respectively). Conclusion Poor sleep characteristics were negatively associated with QoL in Korean middle-aged adults. Support (if any) This was funded by the Korea Institution of Oriental Medicine, KSN2023120.

The Effect of Mental Health, Neurological Disease, and Liver Disease on Quality of Life in Patients With Wilson Disease.

The aim of this study was to investigate the relative contributions of daytime sleepiness, sleep quality, depression, and apnea severity to mental and physical quality of life (QoL) in obstructive sleep apnea (OSA) patients. This was a cross-sectional study. Participants were adults diagnosed with OSA. Medical Outcomes Study-Short Form 36 (SF-36), Epworth Sleepiness Scale (ESS), Medical Outcomes Study-Sleep Scale, and Beck Depression Inventory (BDI) were used. The factors predicting the physical and mental QoL were evaluated using multiple linear regression analysis. Seven hundred ninety three OSA patients participated in the study. The average age was 48.9 years (SD = 11.7 years). The mean apnea-hypopnea index (AHI) was 29.5 hour(-1) (SD = 20.6 hour(-1)). The SF-36 scores were 72.6 (SD = 18.5). The BDI, sleep quality, and age were related to both mental and physical QoL. However, ESS, minimal arterial oxygen saturation, gender, and body mass index were associated with the physical but not mental QoL. The BDI was the strongest predictor of both physical and mental QoL. AHI was related to neither physical nor mental QoL. The potential factors affecting QoL are different between physical and mental dimensions of QoL. Depressive mood was the strongest predictor of both the physical and mental QoL.

The work-related stress experienced by firefighters is associated with numerous health issues. In the general population, improving physical fitness is associated with improvements in both mental and physical quality of life. The purpose of the study was to examine whether fitter professional firefighters report greater physical and mental quality of life. Twenty-three professional firefighters (males = 21, females = 2; age: 36.78±7.12yrs; height: 176.96±5.67 cm; weight: 88.20±16.02 kg; years of service: 8.70±6.62years) volunteered for the study. Participants completed a fitness protocol that included the wall sit and reach, Y-balance test, vertical jump, 1 repetition maximum bench press, pull-ups to failure, push-ups to failure, a plank hold and 1-mile run. The short form 36 questionnaire was used to assess overall quality of life. Firefighters were divided into "high" and "low" groups for physical and mental quality of life. Group differences in fitness parameters were assessed using a multivariate analysis of covariance with gender, age, years of service, height, and body mass as co-variates. Firefighters with lower mental quality of life had lower body fat percentages (p = 0.003), fat mass (p = 0.036), greater fat free mass (p = 0.015), vertical jump height (p = 0.024) and performed more pull-ups (p = 0.003). There were no significant differences in any of the fitness measures between high and low physical quality of life groups. The findings indicate that physical fitness of firefighters is not indicative of overall health. Firefighters might use exercise to cope for psychological stress and a holistic approach to improve firefighter quality of life is recommended.