Factor structure of the Chinese version of the Pittsburgh Sleep Quality Index in breast cancer patients

ObjectiveThe Pittsburgh Sleep Quality Index (PSQI) is used extensively to assess subjective sleep disturbance in cancer populations. Although previous studies on the PSQI suggested a better fit for a two- or three-factor model than the original one-factor model, none accounted for the indicator-specific effect between sleep duration and habitual sleep efficiency. This study evaluated the PSQI’s dimensionality and its convergent validity with cancer-related psychopathological states in female breast cancer patients.MethodsThe PSQI was administered to 197 women with breast cancer. Confirmatory factor analysis examined the relative fit of one-, two-, three-, and revised one-factor models. The PSQI’s convergent validity was evaluated via bivariate correlations between the PSQI factor scores and measures of anxiety, depression, fatigue, pain, and quality of life.ResultsConfirmatory factor analyses showed an adequate fit for the revised one-factor model with the PSQI global score as the overall index of sleep disturbance. Although the revised one- and two-factor solutions showed statistically equivalent model fits, the one-factor model was selected due to utility reasons. The severity of sleep dysfunction that the PSQI global score represented was positively correlated with anxiety, depression, fatigue, pain, and reduced quality of life.ConclusionThe results support the PSQI’s original unidimensional structure, demonstrating that the PSQI global score is a valid and parsimonious measure for assessing and screening sleep dysfunction in cancer patients.     

Sleep restoration is associated with reduced plasma C-reactive protein and depression symptoms in military personnel with sleep disturbance after deployment

BackgroundDeployed military personnel are vulnerable to chronic sleep disturbance, which is highly comorbid with post-traumatic stress disorder (PTSD) and depression, as well as declines in health-related quality of life (HRQOL). Inflammation is associated with HRQOL declines and sleep-related comorbidities; however, the impact of sleep changes on comorbid symptoms and inflammation in this population is unknown.MethodsIn this observational study, we examined the relationship between reported sleep changes and concentrations of inflammatory biomarkers, interleukin 6 (IL-6), and C-reactive protein (CRP) in peripheral blood. The sample was dichotomized into two groups: (1) decrease in Pittsburgh Sleep Quality Index (PSQI; restorative sleep) and (2) no change or increase in PSQI (no change). Mixed between–within subjects analysis of variance tests were used to determine group differences on changes of inflammation and comorbid symptoms.ResultsIn our sample of 66 recently deployed military personnel with insomnia, 34 participants reported restorative sleep whereas 32 reported no sleep changes. The two groups did not differ in demographic or clinical characteristics, with the exception of PTSD diagnosis at baseline. The restorative sleep group had significant reductions in CRP concentrations and depression symptoms, as well as reduced fatigue and improvements in emotional well-being, social functioning, and physical functioning at follow-up.ConclusionsMilitary personnel who report sleep restoration after deployment have reduced CRP concentrations, decreased severity of depression, and improved HRQOL. These findings suggest that treatment for sleep disturbances may be associated with improvements in mental and physical health, thereby supporting continued study in this line of research.     

Validation of the three-factor model of the PSQI in a large sample of chronic fatigue syndrome (CFS) patients

ObjectiveTo evaluate whether a 3-factor model of the Pittsburgh Sleep Quality Index (PSQI) scale would fit the constellation of sleep disturbances in patients with a diagnosis of chronic fatigue syndrome (CFS).MethodsConsecutive CFS patients filled out the PSQI. Scores from this self-report questionnaire were examined with exploratory and confirmatory factor analysis (CFA).Results413 CFS patients were included for analysis in this study. CFA showed that the 7 PSQI component scores clustered into the 3 factors reported by Cole et al. (2006), i.e. Sleep Efficiency, Perceived Sleep Quality and Daily Disturbances. In contrast with the single-factor and all 2-factor models, all factor loadings were significant, and all goodness-of-fit values were acceptable.ConclusionIn CFS, the PSQI operates as a 3-factor scoring model as initially seen in healthy and depressed older adults. The separation into 3 discrete factors suggests the limited usefulness of the global PSQI as a single factor for the assessment of subjective sleep quality, as also evidenced by a low Cronbach's alpha (0.64) in this patient sample.     

Examining the Inter-relations of Depression,Physical Function,and Cognition with Subjective Sleep Parameters among Stroke Survivors: A Cross-sectional Analysis

Goal: Stroke survivors commonly experience depression as well as deficits in physical and cognition function. Emerging evidence also suggests sleep quality is compromised poststroke. Our primary objective was to examine the association of subjective sleep parameters (ie, total PSQI score) with depression, health related quality of life, physical function, and cognition among stroke survivors. Materials and Methods: Cross-sectional analysis of 72 older adults with chronic stroke (≥6 months postischemic stroke) enrolled in a randomized controlled trial of exercise or cognitive enrichment. Subjective sleep parameters were assessed using the Pittsburgh Sleep Quality Index (PSQI). We report total PSQI score and specific PSQI parameter scores (ie, PSQI-subjective sleep quality, PSQI-sleep latency, PSQI-sleep duration, PSQI-habitual sleep efficiency, PSQI-sleep disturbances, PSQI-use of sleep medication, and PSQI-daytime dysfunction). Bivariate correlations and multivariate linear regression assessed associations between subjective sleep parameters and depression/health related quality of life, physical function, and cognition. Findings: For bivariate correlations, depression was significantly associated with global PSQI, PSQI-subjective sleep quality, PSQI-habitual sleep efficiency, and PSQI-daytime dysfunction. Health related quality of life was significantly associated with PSQI-sleep medication. Physical function and health was significantly associated with PSQI-subjective sleep quality, PSQI-sleep latency, PSQI-sleep duration, and PSQI-daytime dysfunction. Multivariate linear regression demonstrated that PSQI-daytime dysfunction predicted depression and physical function; PSQI-subjective sleep quality predicted depression. No significant associations between global PSQI subjective sleep parameters with cognition were observed. Conclusion: Poor subjective sleep parameters and PSQI-subjective sleep quality among stroke survivors were associated with depression; PSQI-daytime dysfunction was associated with physical function. Thus, sleep should be considered in the management of those who have suffered a stroke to optimize poststroke rehabilitation outcomes.     

Sleep quality in the general population: psychometric properties of the Pittsburgh Sleep Quality Index,derived from a German community sample of 9284 people

BackgroundThe Pittsburgh Sleep Quality Index (PSQI) is frequently used to assess sleep problems in patients. The aim of this study was to provide reference values for this questionnaire, to test psychometric properties, and to analyze associations with psychological, sociodemographic, and behavioral factors.MethodsA German community sample comprising 9284 adult residents (aged 18–80 years) was surveyed using the PSQI and several other questionnaires.ResultsAccording to the generally accepted cut-off (PSQI > 5), 36% of the general population slept badly. Females reported significantly more sleep problems than males (mean scores: M = 5.5 vs. M = 4.4, respectively; effect size d = 0.35), but there was no linear association between age and sleep quality. Sleep problems were correlated with fatigue, quality of life (physical as well as mental), physical complaints, anxiety, and lack of optimism. Sleep quality was also strongly associated with socioeconomic status, professional situation (poorest sleep quality in unemployed people), and obesity. In addition to the results of the PSQI total score, mean scores of specific components of sleep quality were presented (sleep latency, sleep duration, and use of sleep medication).ConclusionThe PSQI proved to be a suitable instrument for measuring sleep quality. Gender differences, psychological factors, and obesity should be taken into account when groups of patients are compared with respect to sleep problems.     

Subjective sleep quality in sarcoidosis

BackgroundPoor sleep is common among patients with medical disorders. Sleep disturbances can be a cause of fatigue and poor quality of life for patients suffering from sarcoidosis. Studies on subjective sleep quality or prevalence of insomnia have not been reported so far.ObjectivesThe aim of this study was to investigate the subjectively reported sleep quality and its relation to psychological and physical factors in sarcoidosis patients.Methods1197 patients from Germany diagnosed with sarcoidosis were examined using the Pittsburgh Sleep Quality Index (PSQI), the Medical Research Council (MRC) dyspnea scale, the Hospital Anxiety and Depression Scale (HADS) and the Multidimensional Fatigue Inventory (MFI).Results802 patients (67%) had PSQI global scores >5, indicating subjectively poor quality of sleep. The mean PSQI score was 7.79 ± 4.00. Women reported a significantly inferior individual quality of sleep than men. The subjective quality of sleep was lowered significantly with increasing dyspnea for men and women. 294 patients (25%) had PSQI global scores >10 usually found in patients with clinically relevant insomnia. In this group 86% had high values for fatigue, 69% for anxiety, and 59% for depression. The prevalence of known sleep apnea was 8.7% and 15.7% for restless legs.ConclusionPoor subjective sleep quality in sarcoidosis patients is about twice as common as in the general population and is associated with fatigue, anxiety, depression and dyspnea. Questions about sleep complaints should therefore be included in the management of sarcoidosis.     

大学生睡眠质量与心理健康状况的相关性研究

本研究应用匹兹堡睡眠质量指数(PSQI)和症状自评量表(SCL-90)探讨了大学生睡眠质量与心理健康的关系。结果显示560名大学生PSQI总均分为5.26±2.38,以PSQI≥8(X SD)为标准,则13.93％的学生睡眠质量较差,男生显著高于女生(18.01％Vs8.40％,P<0.01)。对SCL-90各因子分析发现7.0％～27.9％的学生有不同程度的心理健康问题。相关分析表明PSQI与SCL-90各因子及其总均分皆呈显著的正相关关系。睡眠质量差的学生SCL-90各因子平均分和现患率显著高于睡眠质量好与中的学生。逐步回归分析揭示睡眠障碍和日间功能不良对SCL-90各因子均有十分重要的预测作用。睡眠质量与心理健康状况的因果关系有待于进一步探讨。     

High sleep-related breathing disorders among HIV-infected patients with sleep complaints

BackgroundSleep-related breathing disorders (SRBD) not only adversely impact cardiovascular and pulmonary functions but also reduce the quality of life. This study attempted to investigate the severity and related factors of SRBD among human immunodeficiency virus (HIV)-infected people with sleep complaints.MethodsA cross-sectional study was conducted among HIV-infected people with Pittsburgh Sleep Quality Index (PSQI) values above 5 points. SRBDs were defined as Apnea-Hypopnea Index (AHI) over 5 events/hour by full channel home-based polysomnography (PSG). An AHI greater than 30 was categorized as moderate to severe apnea. All of the participants were asked to rate the severity of their snoring, complete a snore outcomes survey (SOS) and complete the PSQI. Multiple logistic regression analysis was conducted to examine the associated factors of severity of SRBD among HIV-infected people.ResultsOf 54 male HIV-positive patients with sleep complaints, 34 subjects (62.96%) were diagnosed with SRBDs, and 29.63% were categorized as having moderate to severe SRBD. SOS score was significantly associated with HIV patients with moderate to severe SRBD (adjusted odds ratio = 0.93, 95% CI: 0.87–1.00, p = 0.045).ConclusionsSRBDs is highly prevalent in male HIV-infected people with sleep complaints. Intensive snoring was one of the indicators associated with the occurrence of moderate to severe SRBDs among HIV-infected people. Healthcare professionals should include snoring screening in the regular course of clinical HIV care.     

Sleep quality and sleep disturbances among volunteer and professional French firefighters: FIRESLEEP study

BackgroundAlthough insufficient sleep among firefighters reduces work efficiency and increases the risk of injury, little is known about the sleep quality of French firefighters in the Loire department. The aim of the FIRESLEEP study was to evaluate sleep quality and sleep disturbances among professional and voluntary French firefighters.MethodsA cross-sectional observational study was conducted between November 2018 and May 2019. Firefighters were invited to complete a questionnaire on a secure platform including clinical questions and validated questionnaires (Pittsburgh Sleep Quality Index [PSQI], Epworth sleepiness scale [ESS], Insomnia Severity Index [ISI] and the STOP-Bang score) during their periodic medical examination.Results193 firefighters were included in this study, of which 29% were of professional status and 71% were volunteer firefighters. Among them, 26.9% had poor sleep quality, 27.7% showed excessive daytime sleepiness (EDS), 18.8% reported moderate-to-severe symptoms of insomnia, and 1.6% had moderate-to-high risk of obstructive sleep apnea. Subgroup analysis revealed that professional firefighters had poorer sleep quality and higher sleep disturbances than volunteer firefighters. The independent risk factors associated with poor sleep quality were known sleep disorder, treated anxiety/depression, night calls, and insomnia symptoms. Moreover, the independent risk factors associated with EDS were short sleep duration, taking a nap, and insomnia symptoms; while older age was a protective factor for EDS.ConclusionsPoor sleep quality and sleep disturbances are highly frequent in French firefighters and underdiagnosed. Prevention through education and systematic screening could limit the impact of sleep disturbances on firefighters' global health.     

A brief sleep scale for Posttraumatic Stress Disorder: Pittsburgh Sleep Quality Index Addendum for PTSD

Sleep disturbances reflect a core dysfunction underlying Posttraumatic Stress Disorder (PTSD). Specifically, disruptive nocturnal behaviors (DNB) may represent PTSD-specific sleep disturbances. The Pittsburgh Sleep Quality Index Addendum for PTSD (PSQI-A) is self-report instrument designed to assess the frequency of seven DNB. The goal of this study was to examine the psychometric properties of the PSQI-A to characterize DNB in a group of participants with and without PTSD. Results indicate that the PSQI-A has satisfactory internal consistency and good convergent validity with two standard PTSD measures even when excluding their sleep-related items. A global PSQI score of 4 yielded a sensitivity of 94%, a specificity of 82%, and a positive predictive value of 93% for discriminating participants with PTSD from those without PTSD. The PSQI-A is a valid instrument for PTSD applicable to both clinical and research settings.     

Prevalence and associated factors of poor sleep quality among Chinese returning workers during the COVID-19 pandemic

ObjectivesThe 2019 novel coronavirus (COVID-19) pandemic is a severe global crisis which has resulted in many public health problems. This study aimed to investigate the prevalence of poor sleep quality and its related factors among employees who returned to work during the COVID-19 pandemic.MethodsOur online cross-sectional study included 2,410 participants aged ≥17 years in Deqing and Taizhou, Zhejiang Province, China from 5th to 14th March 2020. The questionnaire covered information on demographic characteristics, health status, workplace, lifestyle, attitude towards COVID-19, assessment of anxiety, depression and sleep quality. The Chinese version of the Pittsburgh Sleep Quality Index (CPSQI) was administered to measure the poor sleep quality. Poor sleep quality was defined as a global PSQI score>5. Factors associated with sleep quality were analyzed by logistic regression models.ResultsIn sum near half (49.2%) of 2,410 returning workers were females and the average year of subjects was 36.3 ± 9.1 years. The overall prevalence of poor sleep quality was 14.9% (95%CI: 13.5%–16.3%). The average score of PSQI was 3.0 ± 2.5 and average sleep duration was 7.6 ± 1.2 h. Independent related factors of poor sleep quality included age older than 24 years, higher education level, negative attitude towards COVID-19 control measures, anxiety and depression.ConclusionsPoor sleep quality was common and there was a shorter sleep duration among returning workers during the COVID-19 pandemic. Possible risk factors identified from this study may be of great importance in developing proper intervention for the targeted population to improve the sleep health during the COVID-19 public health emergency.     

Impact of sleep on osteoporosis: sleep quality is associated with bone stiffness index

ObjectiveThe aim of the present study was to investigate the impact of sleep on osteoporosis.MethodsThe study used a baseline examination of the Hiroshima Sleep and Healthcare study, which was a cross-sectional and cohort study that addressed the association of sleep habits with lifestyle-related diseases. A total of 1032 participants (25–85 years of age) who underwent health examinations were included. Sleep habits, including its timing (bed time), quantity (time in bed [TIB]), and quality, were assessed using the Pittsburgh Sleep Quality Index (PSQI). The bone stiffness index (SI), a marker of osteoporosis, was measured using quantitative ultrasound systems.ResultsBed time (r = 0.065, p <0.05), TIB (r = −0.064, p <0.05), and global PSQI score (r = −0.126, p <0.0001) significantly correlated with SI. Multiple regression analyses revealed that after adjusting for age, sex, body mass index, smoking, and alcohol intake, the global PSQI score (β = −0.053, p <0.05) was significantly associated with SI, whereas bed time or TIB was not. Among each component of PSQI, sleep disturbances (β = −0.084, p <0.005) were significantly associated with SI.ConclusionPoor sleep quality may be associated with osteoporosis. In particular, increased sleep disturbances may be a key factor in the association between poor sleep quality and osteoporosis.     

Relationship between sleep quality and the psychological status of patients hospitalised with COVID-19

AimWe explored the sleep quality of patients who required mental health and clinical interventions in our hospital after being diagnosed with COVID-19.MethodWe enrolled 189 patients hospitalised with COVID-19 in April and May of 2020, of whom 78 were female and 111 male. We evaluated sleep quality and related factors in terms of demographic characteristics, the duration of hospitalisation, and Pittsburgh Sleep Quality Index (PSQI) and Hospital Anxiety-Depression Scale scores.ResultsAll participants were divided into two groups according to PSQI score: n = 102 (54%) patients with PSQI scores ≥5 and n = 87 (46%) patients with PSQI scores <5. No significant between-group difference was evident in terms of age, gender, marital status, educational level, or chronic disease history. The duration of hospitalisation (p = 0.002) and the depression rate (p = 0.010) were higher in the group exhibiting poor sleep quality (PSQI score ≥5).ConclusionThe duration of hospitalisation was longer in patients experiencing poor sleep quality. Therefore, improvement in sleep quality will reduce the length of hospital and intensive care unit stays.     

Prolonged-release melatonin in Parkinson's disease patients with a poor sleep quality: A randomized trial

BackgroundThe present study was a randomized, double-blind, placebo-controlled, multi-center trial to evaluate the efficacy and safety of prolonged-release melatonin (PRM) in Parkinson's disease (PD) patients with poor sleep quality.MethodsPD patients with a global Pittsburgh Sleep Quality Index (PSQI) score > 5 were included. Patients were assessed using the PSQI, a rapid eye movement sleep behavior disorder screening questionnaire, the Epworth Sleepiness Scale, Non-Motor Symptoms Scale (NMSS), Parkinson's Disease Quality of Life-39 (PDQ-39), and Unified Parkinson's Disease Rating Scale (UPDRS)-III at the beginning of the study and after 4 weeks of treatment with 2 mg of PRM. Partial correlation analysis was performed to investigate the relationship between PSQI score and the other scales.ResultsThirty-four PD patients with poor sleep quality were enrolled and divided into 2 groups based on medication; PRM (n = 16) and placebo (n = 18). Regarding efficacy, PSQI was significantly improved in the PRM group compared to the control group. Improvement in the NMSS and PDQ-39 summary index were observed in the PRM but not in the placebo group; UPDRS-III score was not significantly changed in either group. PSQI improvement correlated with improvement in NMSS score and PDQ-39 summary index. Regarding safety, all enrolled subjects did not complain of side effects due to PRM.ConclusionPRM is an effective and safe treatment option for subjective sleep quality in PD patients and beneficial effects on sleep quality are associated with improved non-motor symptoms and quality of life in PD patients.     

Personality and Sleep Evaluation of Patients with Tinnitus in Japan

In Japan, there have been no examinations of tinnitus with respect to personality traits, and only a few studies have investigated sleep disorders in tinnitus. Understanding the association between these can aid in selecting and developing effective treatment options for patients with tinnitus. This study aimed to clarify the relationship between tinnitus severity, personality, and sleep disorders, in patients with chronic tinnitus in Japan. We retrospectively evaluated the personality factors of 56 patients presenting with tinnitus using the NEO Five-Factor Inventory (NEO-FFI), which examines five personality characteristics, including Neuroticism, Extraversion, Openness, Agreeableness, and Conscientiousness. We evaluated tinnitus severity, sleep disorders, depression, and anxiety using the Tinnitus Handicap Inventory, Pittsburgh Sleep Quality Index (PSQI), Self-Rating Depression Scale, and State-Trait Anxiety Inventory, respectively. Neuroticism and tinnitus severity were positively correlated (r?=?0.548, p?<?0.001). Sleep disorders were observed in 73.2% of patients; however, there was no correlation between the PSQI score and tinnitus severity or between PSQI score and scores of the five NEO-FFI items. Sleep disorders are frequently experienced by patients with chronic tinnitus, regardless of tinnitus severity or personality. Understanding the relationship between personality and tinnitus severity could lead to better management of tinnitus.

     

Relationship between hostility and subjective sleep quality

While hostility and sleep disturbance are the potential risk factors for health problems and disease, few studies have examined the relationship between the two factors. The present study was performed to investigate the relationship between hostility and sleep problems assessed both subjectively and objectively in a nonclinical sample. Sixty-one healthy subjects were enrolled in this study. Hostility was measured according to the Cook–Medley hostility scale. Subjective sleep quality was evaluated according to the global score of the Pittsburgh Sleep Quality Index. Objective sleep was evaluated using actigraphy. A multiple regression analysis revealed that a higher level of hostility was significantly associated with the global score of the Pittsburgh Sleep Quality Index and that a higher level of depression was not associated with the global score of the Pittsburgh Sleep Quality Index. Objective sleep measures were not found to be associated with hostility. Confirming the robust relationship between poor sleep and hostility would have several important treatment implications for preventing health problems.     

Validity and reliability of the Turkish version of single-item Sleep Quality Scale in healthy adults

ObjectiveThe Single Item Sleep Quality Scale (SQS) is a self-reported outcome measure to assess sleep quality. SQS can be used when there is limited time or sleep impairments need to be identified quickly. This study aimed to investigate the validity, including concurrent criterion, convergent, divergent, and known-groups, and test-retest reliability of the SQS in a sample of the Turkish population.MethodsTurkish translation and cross-cultural adaptation of SQS were conducted. Two hundred and thirty-eight healthy adults aged 18–65 years were included in the study. The validity of the SQS was investigated using the Pittsburgh Sleep Quality Index (PSQI). The data were collected online. The retest–retest reliability was investigated in a subsample of 40 people after 7–14 days.ResultsThe SQS significantly correlated with item 6 (sleep quality) on PSQI and PSQI global score (r_s = −0.73, −0.61, respectively). Although, it had a small correlation with total sleep time (r_s = 0.28), awakenings (r_s = −0.21) and habitual sleep efficiency (r_s = −0.24). 8 of 11 predetermined hypotheses (73%) for convergent validity and 10 of 12 predetermined hypotheses for divergent validity (83%) were confirmed to test the construct validity. Test-retest reliability was found high (ICC = 0.82 (95%CI: 0.66 to 0.91)). SQS score of the sleep disorders group, which was determined according to the PSQI global score, was significantly lower.ConclusionsThe results revealed that SQS is a valid and reliable instrument and can be used to evaluate sleep quality in healthy Turkish adults.     

Effects of insomnia and sleep medication on health-related quality of life

ObjectiveThis study, using Short-Form 8 (SF-8), was undertaken to assess the effects of insomnia and sleep medication use on quality of life (QOL) in 2822 people (ages 20–97 years) in a rural population. Factors associated with deterioration of the mental component summary (MCS) score and physical component summary (PCS) score were investigated.MethodsQuestionnaires asked participants’ basic information and included assessments using SF-8, the Pittsburgh Sleep Quality Index (PSQI), and a 12-item version of the Center for Epidemiological Studies Depression scale. Results of PSQI supported the classification of subjects as good sleepers, good sleepers using sleep medication, insomniacs, and insomniacs using sleep medication.ResultsInsomnia was associated with low scores of MCS and PCS. Nevertheless, sleep medication use was associated with low PCS scores only. Good sleepers using sleep medication had significantly higher MCS scores than either insomniacs or insomniacs using sleep medication, but lower scores than good sleepers. Similarly to insomniacs using sleep medication, good sleepers using sleep medication had significantly lower PCS scores than either good sleepers or insomniacs.ConclusionsSleep medication was useful to improve mental QOL. That usage, however, might degrade the physical QOL, possibly because of the medication’s adverse effects.     

Higher sleep reactivity and insomnia mutually aggravate depressive symptoms: a cross-sectional epidemiological study in Japan

ObjectiveSleep reactivity assessed using the Ford Insomnia Response to Stress Test (FIRST) is associated with depression. This study clarified stress reactivity and insomnia effects on depressive symptoms.MethodsA cross-sectional questionnaire survey was administered to 2645 participating government employees (35.4% female, mean age 42.8 years) during health checks conducted at Tottori prefecture, Japan, in June 2012. Questionnaire items included: demographic information; the FIRST; the Pittsburgh Sleep Quality Index (PSQI); and a 12-item version of the Center for Epidemiological Studies Depression scale (CES-D). The study defined CES-D scores of ≥12 points as positive for depression, PSQI scores of ≥5.5 points as positive for insomnia symptoms, and FIRST scores of ≥19 points as indicating higher sleep reactivity.ResultsMultivariate logistic regression analysis revealed insomnia (adjusted OR = 3.40), higher sleep reactivity (adjusted OR = 1.78), presence of disease currently being treated (adjusted OR = 1.84), and being female (adjusted OR = 1.53) as independently associated with depression. Participants with insomnia and a high FIRST score showed higher CES-D scores than those with insomnia alone and those with high FIRST without insomnia (all p < 0.01).ConclusionsSleep reactivity might be associated with depression, independent of insomnia. Elevated sleep reactivity and insomnia symptoms are thought to aggravate depressive symptoms.     

成人癫痫共患抑郁患者睡眠障碍的临床特点及其影响因素

目的探讨成人癫痫共患抑郁患者睡眠障碍的临床特点及其影响因素。方法采取横断面研究方法,对100例癫痫患者应用贝克抑郁量表Ⅱ(BDI-Ⅱ)进行评估。癫痫患者与年龄、性别等严格匹配的50名健康成人均完成匹兹堡睡眠质量量表(PSQI)和Epworth嗜睡量表(ESS)评定。结果 100例成人癫痫患者中30例共患抑郁,共患率为30%。癫痫共患抑郁患者PSQI总分和ESS总分分别为(5.93±1.41)分和(6.57±4.48)分,均高于非抑郁癫痫组分别为(2.09±1.38)分和(3.79±1.98)分及对照组分别为(0.94±0.91)分和(2.30±1.53)分,P0.05。多元回归分析显示癫痫共患抑郁组的PSQI总分与病程和发作控制相关(t=4.279,2.406;P0.05);癫痫共患抑郁组的ESS总分与病程和发作类型相关(t=6.662,2.645;P0.05)。结论成人癫痫共患抑郁患者白天嗜睡程度增加、睡眠质量下降,其损害的严重程度与患者的病程、发作控制和发作类型密切相关。