Prospective associations of insomnia markers and symptoms with depression

Associations between light at night and mental health: A systematic review and meta-analysis

Light at night (LAN) disrupts the circadian rhythm by altering the natural light-dark cycle. With increasing interest in the relationship between LAN and mental health, there is value in an updated systematic review and meta-analysis considering prominent mental health conditions that also critically appraises LAN exposure assessment. We conducted a systematic review of six databases, two registries, and Google Scholar to identify studies examining the associations between indoor and outdoor LAN exposure (high vs. low exposure) and mental health outcomes (depression, bipolar disorder, anxiety, and schizophrenia), completing inverse-variance random-effects meta-analyses. Nineteen studies with a total population of 556,861 were included in the review. LAN exposure was associated with increased odds of depression prevalence (odds ratio [OR]: 1.18; 95 % confidence interval [CI]: 1.09 to 1.28), with stronger associations for bedside (OR: 1.45; 95 % CI: 1.03 to 2.04) or wrist-measured indoor LAN (OR: 1.30; 95 % CI: 1.22 to 1.38) than satellite-measured outdoor LAN exposure (OR: 1.10; 95 % CI: 1.04 to 1.17) and in older adults (OR: 1.56; 95 % CI: 1.24 to 1.96) compared to general adults (OR: 1.16; 95 % CI: 1.06 to 1.28) or youth (OR: 1.07; 95 % CI: 0.99 to 1.16). LAN exposure was also associated with an increased prevalence of bipolar disorder (OR: 1.19; 95 % CI: 1.08 to 1.31) and anxiety (OR: 1.10; 95 % CI: 1.02 to 1.20) and increased incidence of anxiety (hazard ratio [HR]: 1.08; 95 % CI: 1.02 to 1.15) and schizophrenia (HR: 1.55; 95 % CI: 1.01 to 2.39); however, the incidence of depression did not achieve statistical significance (HR: 1.53; 95 % CI: 0.98 to 2.38). Overall, our results suggest that LAN exposure influences adverse mental health conditions, with differences in results appreciated for depression prevalence depending on how LAN exposure was measured. Additional research is needed on the effects of LAN given its undoubted interest in the prevention and treatment of mental disorders.

Relationship between falls and the use of hypnotics, antidepressants, antipsychotics, and anxiolytics in patients with rheumatoid arthritis: A cross-sectional study

OBJECTIVES

This cross-sectional study aimed to determine the relationship between falls and the use of psychotropic medications in patients with rheumatoid arthritis (RA).

METHODS

The psychotropic medication group included patients with RA prescribed psychotropic medications [hypnotics/sedatives, antidepressants, antipsychotics, and anxiolytic (benzodiazepines) drugs]. Poisson regression with robust variance was performed to investigate the relationship between falls and the use of psychotropic medications, with adjustment for age, sex, RA disease activity, stroke, dementia, diabetes mellitus, and osteoarthritis.

RESULTS

Of the 307 patients enrolled, 49 (16.0%) used psychotropic medications and 70 (22.8%) experienced at least one fall per year. Nineteen of the 49 patients (38.8%) taking psychotropic medications and 51 of 258 (19.8%) not taking psychotropic medications experienced at least one fall per year. Falls were significantly more frequent in the group with psychotropic medications than in the group without psychotropic medications (adjusted incidence rate ratio, 1.63; 95% confidence interval, 1.08-2.48; P = .02). No relationship was found between the number of falls and the use of psychotropic medications (adjusted incidence rate ratio, 1.16; 95% confidence interval, 0.39-3.44; P = .78).

CONCLUSIONS

There may be a relationship between psychotropic medication use and falls in patients with RA.

LT-102, an AMPA receptor potentiator, alleviates depression-like behavior and synaptic plasticity impairments in prefrontal cortex induced by sleep deprivation

BACKGROUND

Sleep loss is closely related to the onset and development of depression, and the mechanisms involved may include impaired synaptic plasticity. Considering the important role of glutamate α-amino-3-hydroxyl-5-methyl-4-isoxazole-propionate receptors (AMPARs) in synaptic plasticity as well as depression, we introduce LT-102, a novel AMPARs potentiator, to evaluate the potential of LT-102 in treating sleep deprivation-induced depression-like behaviors.

METHODS

We conducted a comprehensive behavioral assessment to evaluate the effects of LT-102 on depression-like symptoms in male C57BL/6J mice. This assessment included the open field test to measure general locomotor activity and anxiety-like behavior, the forced swimming test and tail suspension test to assess despair behaviors indicative of depressive states, and the sucrose preference test to quantify anhedonia, a core symptom of depression. Furthermore, to explore the impact of LT-102 on synaptic plasticity, we utilized a combination of Western blot analysis to detect protein expression levels, Golgi-Cox staining to visualize neuronal morphology, and immunofluorescence to examine the localization of synaptic proteins. Additionally, we utilized primary cortical neurons to delineate the signaling pathway modulated by LT-102.

RESULTS

Treatment with LT-102 significantly reduced depression-like behaviors associated with sleep deprivation. Quantitative Western blot (WB) analysis revealed a significant increase in GluA1 phosphorylation in the prefrontal cortex (PFC), triggering the Ca2+/calmodulin-dependent protein kinase II/cAMP response element-binding protein/brain-derived neurotrophic factor (CaMKII/CREB/BDNF) and forkhead box protein P2/postsynaptic density protein 95 (FoxP2/PSD95) signaling pathways. Immunofluorescence imaging confirmed that LT-102 treatment increased spine density and co-labeling of PSD95 and vesicular glutamate transporter 1 (VGLUT1) in the PFC, reversing the reductions typically observed following sleep deprivation. Golgi staining further validated these results, showing a substantial increase in neuronal dendritic spine density in sleep-deprived mice treated with LT-102. Mechanistically, application of LT-102 to primary cortical neurons, resulted in elevated levels of phosphorylated AKT (p-AKT) and phosphorylated glycogen synthase kinase-3 beta (p-GSK3β), key downstream molecules in the BDNF signaling pathway, which in turn upregulated FoxP2 and PSD95 expression.

LIMITATIONS

In our study, we chose to exclusively use male mice to eliminate potential influences of the estrous cycle on behavior and physiology. As there is no widely accepted positive drug control for sleep deprivation studies, we did not include one in our research.

CONCLUSION

Our results suggest that LT-102 is a promising therapeutic agent for counteracting depression-like behaviors and synaptic plasticity deficits induced by sleep deprivation, primarily through the activation of CaMKII/CREB/BDNF and AKT/GSK3β/FoxP2/PSD95 signaling pathways.

Long working hours and health in Denmark: a post hoc analysis of three cohort studies

BACKGROUND

To protect the safety and health of workers, national legislations often stipulate an upper limit to weekly working time. The purpose of the present study was to provide information that may facilitate the obtainment of evidence-based limits to weekly working time.

OBJECTIVE

To estimate incidence rate ratios (RRs) of (i) hospital treatment or death due to accidental injuries, (ii) redeemed prescriptions for psychotropic drugs and (iii) redeemed prescriptions for antihypertensive drugs, respectively, as continuous functions of weekly working hours among employees in the general population of Denmark.

METHODS

Baseline data on working time arrangements were obtained from the Danish Labor Force Surveys of 1999-2013. Follow-ups with a mean duration of 1.8, 4.0 and 6.6 years for accidental injuries, psychotropic drugs and antihypertensive drugs, respectively, were accomplished through national registers. Adjusted RRs were obtained through Poisson regression in the interval 32-80 weekly working hours (wwh). The reference (standard working hours) was set at 37 wwh. RR estimates were interpreted in accordance with a modified version of Monson's guide to strength of associations, in which a RR in the open interval 0.83 to 1.2 is classified as 'no association' (too weak to be detected by observational studies).

RESULTS

The estimated RRs as well as the upper and lower limits of their 95% confidence intervals lied within the no-association zone throughout the intervals 32-76, 32-64 and 32-69 wwh, for accidental injury, psychotropic drug use and antihypertensive drug use, respectively. The estimated RRs for psychotropic drug use decreased from 1.08 (95% CI: 1.03-1.13) at 32 wwh to 0.96 (0.93-0.99) at 45 wwh. They thereafter increased to 1.00 (0.95-1.06) at 55 wwh and 1.31 (1.08-1.63) at 80 wwh. The estimated RRs for accidental injury and antihypertensive drug use increased slowly from 1.00 at 37 wwh to 1.04 (0.88-1.24) and 1.11 (0.94-1.31), respectively, at 80 wwh.

CONCLUSION

These results suggest that, from a societal perspective, the effect of wwh on the rates of these types of morbidity is negligible throughout the interval 32-64 wwh.

Association between sleep and tinnitus in US adults: Data from the NHANES (2007-2012)

We evaluated the relationship between sleep factors and tinnitus risk using data from the US National Health and Nutrition Examination Survey (2007-2012), focusing on adults aged 20 to 80 years. Our analysis included 4354 participants, with sleep patterns categorized as healthy, intermediate, or poor. We observed that both short (odds ratio [OR]: 1.43) and long (OR: 1.48) sleep durations increased the risk of tinnitus compared with the healthy range (7-9 hours). Additionally, sleep disturbances were significantly correlated with tinnitus (OR: 1.52), with the strongest association occurring in individuals with poor sleep patterns (OR: 1.71). The results of the weighted logistic regression analysis underscored these findings.

Associations between Life's Essential 8 and depression among US adults

Few studies have examined the association of Life's Essential 8 (LE8) with depression among US adults. This is a cross-sectional study using data from the National Health and Nutrition Examination Survey (NHANES) 2011-2020. LE8 score was measured as the mean score of eight metrics (diet, physical activity, nicotine exposure, sleep health, body mass index, blood lipid, blood glucose, and blood pressure). CVH was categorized into low, moderate, and high according to tertiles of LE8 score. Depression was defined based on the 9-Item Patient Health Questionnaire (PHQ-9). Weighted logistic regressions were conducted to assess the associations of depression with CVH. Compared with participants with low CVH, the fully adjusted ORs of depression were 0.45 (0.37, 0.55) in the moderate CVH and 0.21 (0.15, 0.30) in the high CVH participants, respectively. The results remained robust in subgroup and sensitivity analyses. All eight LE8 metrics were negatively associated with depression, while nicotine exposure and sleep health were identified as two major metrics contributing to the association. Better CVH evaluated by LE8 was associated with decreased depression prevalence among US adults. Adherence to a higher CVH score, especially targeting smoking cessation and proper sleep duration, might be beneficial for prevention of depression.

Association of sleep duration and risk of mental disorder: a systematic review and meta-analysis

BACKGROUND

The effects of sleep duration on the development of mental illness remain controversial. Therefore, it is necessary to identify the effects of long or short sleep duration on psychological disorders, which could reveal new ways for preventing and treating mental health conditions cheaply.

METHODS

Identifying published papers was accomplished by using the following five English databases on March 16, 2022: PubMed, MEDLINE, Embase, Web of Science databases, and Scopus. Cross-sectional and cohort studies were considered if they evaluated the association of sleep duration with all kinds of mental illness in adults. We excluded case reports, editorials, narrative reviews, and studies without detailed information on sleep duration. Summary effect-size estimates were expressed as risk ratios (RRs) or odds ratios (ORs) with 95% confidence intervals and were evaluated using random-effect models. Mantel-Haenszel's random-effects model was used to estimate the inconsistency index (I2) and Tau2 index (measurement of heterogeneity).

RESULTS

A total of 52 studies were included in this analysis, consisting of 14 cohort studies and 38 cross-sectional studies. These studies involved a combined sample size of 1,407,891 participants who met the inclusion criteria. Cohort (adjusted RR = 1.42, 95% CI: 1.26-1.60, P < .001, I2 = 37.6%, Tau2 = 0.014) and cross-sectional studies (adjusted OR = 1.67, 95% CI: 1.57-1.77, P < .001, I2 = 79.7%, Tau2 = 0.060) concluded that short sleep duration increased mental disorder risks. The same conclusions were acquired in the subgroup analysis, especially for depression (adjusted RR = 1.43, 95% CI: 1.24-1.65, P < .001, I2 = 80.4%, Tau2 = 0.082), anxiety (adjusted RR = 1.30, 95% CI: 1.04-1.63, P = .002, I2 = 0.0%, Tau2 = 0.000), and PTSD (adjusted RR = 1.35, 95% CI: 1.04-1.76, P = .022, I2 = 24.1%, Tau2 = 0.013) in cohort studies. The results of subgroup analysis indicated that long sleep duration was not a risk factor for depression (adjusted RR = 1.15, 95% CI: 0.98-1.34, P = .088, I2 = 63.4%, Tau2 = 0.045) and anxiety (adjusted RR = 1.37, 95% CI: 0.93-2.03, P = .114, I2 = 0.0%, Tau2 = 0.000).

CONCLUSIONS

Short sleep duration, not long sleep duration, is an independent predictor of developing mental disorders, particularly anxiety and depression.

Sleep Duration and Insomnia with Comorbid Depression and Anxiety Symptoms in Chinese Adults: A Cross-Sectional Study

Purpose

Depression and anxiety are two highly prevalent mental disorders that commonly coexist. However, little is known about the association between sleep and comorbid depressive and anxiety symptoms (CDAS). Therefore, this study aims to explore the relationship between sleep duration, insomnia and CDAS.

Methods

This is a cross-sectional study of 22,004 community adults who participated in the China Multi-Ethnic Cohort (CMEC) study. Chinese version of Patient Health Questionnaire-2 and Generalized Anxiety Disorder-2 were used to screen CDAS in community adults. A positive score on each scale was considered indicative of CDAS. All participants received face-to-face interviews, medical examinations, and biochemical examinations to assess sleep duration and insomnia and collect covariates. The self-reported sleep duration was divided into three groups: <7 hr, 7-9 hr and >9 hr groups. Logistic regression was used to analyze the association between sleep duration, insomnia and CDAS. A restricted cubic spline (RCS) was used to explore the dose-response relationship between sleep duration and CDAS. Stratified analysis based on gender and age was conducted.

Results

Overall, 2.8% (95% CI 2.6%~3.0%) of participants reported having CDAS. After adjusting the potential covariates, sleep duration <7 hr (OR=1.635, 95% CI=1.335~2.004) was significantly associated with CDAS, compared with sleep 7-9 hr. After RCS analysis, there was a nonlinear relationship between sleep duration and CDAS. The increase in the number of types of insomnia, the greater the likelihood of CDAS (p for trend<0.05). In sensitivity analysis, it was found that the results were consistent with those of the main analysis. After stratification by gender and age, the association between sleep duration and CDAS was only observed in female and young and middle-aged adults, not in men and older adults.

Conclusion

Both insufficient sleep duration and insomnia are associated with a higher prevalence of CDAS in Chinese adults.

The impact of a mobile app-based corporate sleep health improvement program on productivity: Validation through a randomized controlled trial

Based on a randomized controlled trial applied to employees of a manufacturing company, this study examines the extent to which a corporate sleep program improves workers' sleep health and productivity. In the three-month sleep improvement program, applicants were randomly divided into a treatment group and a control group, and the treatment group was provided with a noncontact sensing device to visualize their sleep. A smartphone app linked to the device notified them of their sleep data every morning and presented them with advice on behavioral changes to improve their sleep on a weekly basis. The results of the analysis revealed the following. First, even after controlling for factors that may cause sleep disturbances and nocturnal awakenings, such as increased workload and the number of days spent working from home during the measurement period, the treatment group showed improved sleep after the program compared to the control group. Second, the treatment group showed statistically significant improvement in presenteeism (productivity). The effect size on presenteeism through sleep improvement was similar regardless of the estimation method used (i.e., ANCOVA estimator of ATT and two 2SLS methods were performed). In particular, we confirmed that productivity was restored through sleep improvement for the participants who diligently engaged in the program. These results suggest that promoting sleep health using information technology can improve sleep deficiency and restore productivity.

Interactive effects of sleep and physical activity on depression among rural university students in China

Background

Decreased sleep quality and physical activity among university students have become important concerns, while depressive symptoms are on the rise, especially in rural areas. Previous studies have confirmed the association between sleep quality and physical activity and depressive symptoms, but the effect of their interaction on depressive symptoms has been less studied. For this reason, the present study analyzed the interaction between sleep quality and physical activity on depressive symptoms to provide reference and assistance for mental health promotion and intervention for university students in rural areas of China.

Methods

In this study, we investigated sleep quality, physical activity, and depressive symptoms in 11,423 university students in rural areas of China. The association of sleep quality and physical activity with depressive symptoms was analyzed by using univariate analysis and logistic regression analysis. And further analyzed the association between the interaction effect of sleep quality and physical activity and depressive symptoms.

Results

The proportion of university students with depressive symptoms in rural China was 33.3%, with a higher proportion of girls students (36.7%) having depressive symptoms than boys students (28.8%). Logistic regression analysis of the interaction between sleep quality and physical activity and depressive symptoms in university students showed that university students with poor sleep quality and MVPA>60 min/d (OR = 4.40,95% CI: 3.75-5.05) had the highest risk of depressive symptoms (p < 0.001). University students with moderate sleep quality and MVPA of 30-60 min/d (OR = 1.18, 95% CI: 0.75-1.61) had the lowest risk of depressive symptoms (p < 0.001). Moreover, there was no gender difference in this result.

Conclusion

The prevalence of depressive symptoms was higher among university students in rural areas of China. There was an interaction between sleep quality and MVPA on depressive symptoms, maintaining a good quality of sleep and an appropriate length of MVPA has a contributory effect on mental health, and the same trend was found for both boys and girls students. It is recommended that university students in rural areas of China should first maintain proper sleep quality while maintaining 30-60 min of MVPA per day, which may reduce the risk of depressive symptoms.

Association between dependency and long sleep duration among elderly people: a community-based study

BACKGROUND

Long sleep duration is a common sleep disorder among elderly people. Dependency increases with increasing age. This study aimed to assess the association between dependency and long sleep duration among elderly people.

METHODS

This study is a population-based cross-sectional study. A total of 1152 participants aged ≥ 60 years were selected from 26 locations in China by a complex multistage sampling design. Data were collected through face-to-face interviews. Sleep duration was measured using the Pittsburgh Sleep Quality Index. Dependency was assessed using Minnesota Multiphasic Personality Inventory-II. Hierarchical multiple linear regression analysis was used to evaluate the efficacy of sleep-related factors and psychological factors for sleep duration. Analysis of covariance and logistic regression analysis were performed to evaluate the association between the dependency score and sleep duration, and the strength of dependency effect on sleep duration.

RESULTS

A total of 1120 participants were valid for the analysis. Among them, 15.8% of participants had a dependency score ≥60 points. The results of hierarchical multiple linear regression analysis showed that sleep duration was positively associated with dependency scores. Analysis of covariance indicated a J-shaped association between dependency scores and sleep duration. The results of logistic regression analysis showed dependency was significantly associated with long sleep duration, and the odds ratio was 3.52 (95% CI, 1.87-6.63; P < 0.001).

CONCLUSION

Dependency was significantly associated with long sleep duration among elderly people. The results suggested that dependent intervention may be a strategy that needs urgent implementation to reduce long sleep duration among elderly people.

Sleep quality, antepartum depression and self-harm thoughts in pregnant Chinese women

BACKGROUND

Previous literature has shown a significant association between sleep and depression, whereas limited studies have examined the association of sleep quality with self-harm ideation in pregnant Chinese women.

METHODS

A total of 898 pregnant women (first to third trimester) from the Young Investigation Study were enrolled in this study. The Pittsburgh Sleep Quality Index (PSQI) questionnaire was used to assess sleep quality. Antepartum depression and self-harm ideation were evaluated using the Edinburgh Postnatal Depression Scale (EPDS). Multivariable logistic regression models were used to calculate odds ratios (ORs) and 95 % confidence intervals (CIs).

RESULTS

In this sample, the prevalence of poor sleep quality and antepartum depression was 44.3 % and 24.4 %, respectively. Furthermore, 12.8 % of women were considered as having self-harm ideation. Individuals in different trimesters reported similar prevalence of self-harm thoughts. Women were more likely to report self-harm thoughts if they were categorized as poor sleep quality or antepartum depression. And women with moderate or severe depression had higher risk of self-harm ideation and poor sleep, compared with those with mild depression. Although sleep quality indirectly influenced self-harm thoughts through the mediation effect of depressive symptoms, poor sleep quality was still associated with a 2.62-fold increased odds of self-harm ideation among women in the second trimester (OR = 2.62; 95 % CI: 1.11-6.21), after adjustment for depression.

LIMITATIONS

Causality cannot be inferred. Results should be generalized carefully. Depression was evaluated by a screening tool rather than clinical interviews.

CONCLUSIONS

The prevalence of poor sleep quality, depressive symptoms and self-harm ideation in pregnant Chinese women were noteworthy and high. Besides, a direct effect was also found between sleep quality and self-harm thoughts among women in the second trimester. Our findings suggest the need to identify and intervene when sleep disturbances are observed in women during pregnancy.

Mental and physical health pathways linking insomnia symptoms to cognitive performance 14 years later

STUDY OBJECTIVES

Insomnia may be a modifiable risk factor for later-life cognitive impairment. We investigated: (1) which insomnia symptoms are associated with subsequent cognitive functioning across domains; (2) whether insomnia-cognition associations are mediated by mental and physical health; and (3) whether these associations are modified by gender.

METHODS

Participants included 2595 adults ages 51-88 at baseline (Mage=64.00 ± 6.66, 64.5% women) in the Health and Retirement Study. The frequency of insomnia symptoms (difficulty initiating sleep, night time awakenings, early awakenings, and feeling unrested upon awakening) at baseline (2002) were quantified using a modified Jenkins Sleep Questionnaire. Cognition was assessed in 2016 via the Harmonized Cognitive Assessment Protocol and operationalized with factor scores corresponding to five domains. Depressive symptoms and vascular conditions in 2014 were assessed via self-report. Structural equation models estimated total, indirect, and direct effects of insomnia symptoms on subsequent cognition through depressive symptoms and vascular diseases, controlling for baseline sociodemographic and global cognition.

RESULTS

Frequent difficulty initiating sleep was associated with poorer episodic memory, executive function, language, visuoconstruction, and processing speed 14 years later (-0.06 ≤ β ≤ -0.04; equivalent to 2.2-3.4 years of aging). Depressive symptoms explained 12.3%-19.5% of these associations and vascular disease explained 6.3%-14.6% of non-memory associations. No other insomnia symptoms were associated with cognition, and no associations were modified by gender.

CONCLUSIONS

Difficulty initiating sleep in later life may predict future cognitive impairment through multiple pathways. Future research with longitudinal assessments of insomnia, insomnia treatments, and cognition is needed to evaluate insomnia as a potential intervention target to optimize cognitive aging.

Relationship between night-sleep duration and risk for depression among middle-aged and older people: A dose-response meta-analysis

Objective: The study aimed to examine the dose-response associations between night-sleep duration and depression risk in middle-aged and older adults. Methods: We searched PubMed, Embase, Web of Science, CNKI, VIP, and the Wanfang data knowledge service platforms from inception to 31 July 2022. Cohort and case-control studies assessing the relationship between night-sleep duration and depression were selected. We used the Newcastle-Ottawa scale to assess the quality of the published research. Two researchers carried out data extraction and quality assessment. The restricted cubic spline function and generalized least squares method were used to establish dose-response relationships between sleep duration and depression. We aimed to analyze the estimated effect size presented as the risk ratio (RR) and its 95% confidence interval (CI) using Stata 12.0. Result: Six cohort studies with 33,595 participants were included in this meta-analysis. A U-shaped association between sleep duration and depression risk was revealed. On one hand, compared with 7-h of night sleep, both shorter and longer sleep duration were associated with an increased risk of depression (5 h: risk ratio = 1.09, 95% confidence interval = 1.07-1.12; 6 h: RR = 1.03, 95% CI = 1.02-1.04; 8 h: RR = 1.10, 95% CI = 1.05-1.15; 9 h: RR = 1.31, 95% CI = 1.17-1.47; 10 h: RR = 1.59, 95% CI = 1.31-1.92; non-linear test p < 0.05). On the other hand, an increased risk of depression with shorter sleep duration was observed in middle-aged and older people among the non-Asian population (5 h: RR = 1.09; 95% CI = 1.02-1.17), while both shorter and longer sleep duration can increase the risk of depression among an Asian population (5 h: RR = 1.10, 95% CI = 1.07-1.13; 6 h: RR = 1.04, 95% CI = 1.02-1.05; 8 h: RR = 1.09, 95% CI = 1.05-1.14; 9 h: RR = 1.35, 95% CI = 1.18-1.53; 10 h: RR = 1.70, 95% CI = 1.36-2.12). Conclusion: The lowest-risk onset of depression occurred among middle-aged and older people with 7 h of night sleep, which suggested that shorter and longer night-sleep duration might lead to an increased incidence of depression. Clinical Trial Registration: https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=344052, identifier 344052.

The association between sleep and depressive symptoms in US adults: data from the NHANES (2007-2014)

AIMS

To assess the association of sleep factors (sleep duration, trouble sleeping, sleep disorder) and combined sleep behaviours with the risk of clinically relevant depression (CRD).

METHODS

A total of 17 859 participants (8806 males and 9053 females) aged 20-79 years from the National Health and Nutrition Examination Survey (NHANES) 2007-2014 waves were included. Sleep duration, trouble sleeping and sleep disorder were asked in the home by trained interviewers using the Computer-Assisted Personal Interviewing (CAPI) system. The combined sleep behaviours were referred to as 'sleep patterns (healthy, intermediate and poor)', with a 'healthy sleep pattern' defined as sleeping 7-9 h per night with no self-reported trouble sleeping or sleep disorders. And intermediate and poor sleep patterns indicated 1 and 2-3 sleep problems, respectively. Weighted logistic regression was performed to evaluate the association of sleep factors and sleep patterns with the risk of depressive symptoms.

RESULTS

The total prevalence of CRD was 9.5% among the 17 859 participants analysed, with females having almost twice as frequency than males. Compared to normal sleep duration (7-9 h), both short and long sleep duration were linked with a higher risk of CRD (short sleep: OR: 1.66, 95% CI: 1.39-1.98; long sleep: OR: 2.75, 95% CI: 1.93-3.92). The self-reported sleep complaints, whether trouble sleeping or sleep disorder, were significantly related with CRD (trouble sleeping: OR: 3.04, 95% CI: 2.59-3.56; sleep disorder: OR: 1.83, 95% CI: 1.44-2.34). Furthermore, the correlations appeared to be higher for individuals with poor sleep pattern (OR: 5.98, 95% CI: 4.91-7.29).

CONCLUSIONS

In this national representative survey, it was shown that there was a dose-response relationship between sleep patterns and CRD.

Synergistic antidepressant effects of citalopram and SB-334867 in the REM sleep-deprived mice: Possible role of BDNF

This study was done to evaluate the effect of co-treatment of orexin agents along with citalopram on the modulation of depression-like behavior and the expression of BDNF in the prefrontal cortex (PFC) of sleep-deprived male mice. A sleep deprivation model was performed in which rapid eye movement (REM) sleep was completely prohibited, and non-REM sleep was intensely reduced for 24 h. For drug microinjection, the guide cannula was surgically fixed in the left lateral ventricle of mice. Furthermore, we used the open-field test (OFT), forced swim test (FST), tail suspension test (TST), and splash test for recording depression-like behavior as well as Real-Time PCR amplification for assessing the expression of BDNF in the PFC of REM sleep-deprived mice. Our results revealed that REM sleep deprivation did not change locomotor activity while increased depressive-like behavior in FST, TST, and splash tests. However, the expression of BDNF was decreased in the PFC. Intraperitoneally (i.p.) administration of citalopram induced antidepressant effect in the normal and REM sleep-deprived mice. Moreover, intracerebroventricular (i.c.v.) microinjection of a non-effective dose of SB-334867, an orexin antagonist, potentiated the antidepressant-like effect of citalopram. On the other hand, a non-significant dosage of orexin-1 reversed the antidepressant effect of citalopram in the normal and REM sleep-deprived animals. Furthermore, our results showed that injection of citalopram alone or with SB-334867 increased the mRNA expression level of BDNF in the PFC of REM sleep-deprived mice. These data suggest that REM sleep deprivation interferes with the neural systems underlying the depression-like process and supports a likely interaction of the orexin system with citalopram on the modulation of depression-like behavior in REM sleep-deprived mice.

Sleep Pattern Is Related to Mental Health among Chinese Collegiate Student Athletes

Regarding the association between sleep and napping duration and mental health in young and older adults, some studies indicated a positive association, while others indicated a negative, or no, association between them. Moreover, collegiate student athletes have different mental health stressors, such as training pressure, improving sports performance, and relationships with coaches. Therefore, sleep is important for athletes. Whether sleep duration is related to their mental health is unclear. Thus, this study aimed to examine the association between nighttime sleep duration, daytime napping duration, and mental health among collegiate student athletees. This cross-sectional study included 700 college athletes. Sleep and daytime napping durations were assessed using a self-reported questionnaire. The Zung Self-rating Depression Scale and Generalized Anxiety Disorder-7 assessed mental health. A multivariate logistic regression analysis was conducted to examine the adjusted association between sleep duration and mental health. In this study, the odds ratios for depression and anxiety symptoms were significantly higher for short sleep duration (<7 h). Additionally, a significant positive association was found between daytime napping duration and the prevalence of depression. This study indicates that short nighttime sleep and long daytime napping duration may be risk factors for collegiate student athletes’ mental health, having important implications for educators and coaches.

Availability and Affordability of Primary Health Care Among Vulnerable Populations in Urban Kumasi Metropolis: Family Health Perspective

Purpose

Health-related expenditures pose a significant burden on vulnerable populations. This study assessed the availability and affordability of primary health care among disadvantaged populations in urban Kumasi Metropolis, Ghana.

Methods

This study was a descriptive cross-sectional study conducted among multi-level participants of vulnerable populations ≥18 years of age (n=710) constituting the older adults/aged, pregnant women, head porters, sex workers, and other vulnerable groups (people with disabilities and the homeless). Data were collected using a semistructured questionnaire. Poisson regression with robust variance was used to assess the association between vulnerability and access to health care.

Results

There were significant differences in the availability and adequacy of health care among the vulnerable groups studied. Distance to the source of care was >5 km for majority of the vulnerable groups and the average expenditure on a visit to the health facility was GH¢ 27.04 (∼US$ 5.55 as at January 2019). Challenges to health care among the vulnerable groups included monetary (37.9%), stigmatization (18.6%), and staff attitude (25.9%). Head porters and other vulnerable groups were less likely to view health care as affordable compared with older adults. The difference in the perception of health care affordability was, however, explained by sociodemographic characteristic and health care-related factors.

Conclusion

Despite the introduction of a National Health Insurance Scheme in Ghana, this study highlights challenges in health care access among vulnerable populations independent of the type of vulnerability. This suggests the need for stakeholders to adopt other innovative care strategies that may have broader applicability for all populations.

Using digital health tools for the Remote Assessment of Treatment Prognosis in Depression (RAPID): a study protocol for a feasibility study

INTRODUCTION

Digital health tools such as smartphones and wearable devices could improve psychological treatment outcomes in depression through more accurate and comprehensive measures of patient behaviour. However, in this emerging field, most studies are small and based on student populations outside of a clinical setting. The current study aims to determine the feasibility and acceptability of using smartphones and wearable devices to collect behavioural and clinical data in people undergoing therapy for depressive disorders and establish the extent to which they can be potentially useful biomarkers of depression and recovery after treatment.

METHODS AND ANALYSIS

This is an observational, prospective cohort study of 65 people attending psychological therapy for depression in multiple London-based sites. It will collect continuous passive data from smartphone sensors and a Fitbit fitness tracker, and deliver questionnaires, speech tasks and cognitive assessments through smartphone-based apps. Objective data on sleep, physical activity, location, Bluetooth contact, smartphone use and heart rate will be gathered for 7 months, and compared with clinical and contextual data. A mixed methods design, including a qualitative interview of patient experiences, will be used to evaluate key feasibility indicators, digital phenotypes of depression and therapy prognosis. Patient and public involvement was sought for participant-facing documents and the study design of the current research proposal.

ETHICS AND DISSEMINATION

Ethical approval has been obtained from the London Westminster Research Ethics Committee, and the Health Research Authority, Integrated Research Application System (project ID: 270918). Privacy and confidentiality will be guaranteed and the procedures for handling, processing, storage and destruction of the data will comply with the General Data Protection Regulation. Findings from this study will form part of a doctoral thesis, will be presented at national and international meetings or academic conferences and will generate manuscripts to be submitted to peer-reviewed journals.

TRIAL REGISTRATION NUMBER

https://doi.org/10.17605/OSF.IO/PMYTA.

The relationship between the HDRS insomnia items and polysomnographic (PSG) measures in individuals with treatment-resistant depression

The Hamilton Depression Rating Scale (HDRS), which includes several insomnia-related items, is potentially valuable in evaluating both depressive and sleep symptoms. However, the HDRS insomnia items have not been fully assessed by objective measures. This study compared the three HDRS insomnia items (Early, Middle, and Late) with the corresponding objective polysomnography (PSG) measures of Sleep Latency (SL), middle wakefulness, and late wakefulness. The study used HDRS and PSG data from 130 baseline nights, drawn from 80 participants enrolled in clinical trials for treatment-resistant depression (TRD). Mixed models evaluated the relationship between the HDRS and PSG, and primary analyses examined the Early, Middle, and Late Insomnia HDRS items and the PSG variables SL and Waking After Sleep Onset (WASO). To approximate the Middle and Late HDRS Insomnia items more closely, WASO was divided into WASO before 4:00 a.m. (waking between Sleep Onset and 0400 h) and WASO after 4:00 a.m. (waking between 0400 h and 0700 h). Secondary analyses included summed HDRS Global Insomnia score. HDRS Early and Late Insomnia items predicted objective PSG measures of early and late wakefulness. For Early Insomnia, each additional point in severity was associated with 61% [95%CI: 35%, 93%] longer SL. For Late Insomnia, each additional point was associated with a 35% [95% CI: 13%, 63%] increase in WASO after 4:00 a.m. Middle Insomnia was marginally related to WASO before 4:00 a.m. HDRS Early and Late Insomnia items may thus provide an index of wakefulness in TRD and help monitor treatment response when objective measures such as PSG are not feasible. CLINICAL TRIALS IDENTIFIER: www.clinicaltrials.gov (NCT01204918, NCT00054704, NCT00088699).

Sleep disorders and non-sleep circadian disorders predict depression: a systematic review and meta-analysis of longitudinal studies

Patients with depression often suffer from sleep disorders and non-sleep circadian disorders. However, whether they precede and predict subsequent depression is unclear. We conducted a meta-analysis of studies on sleep disorders and non-sleep circadian disorders. We found insomnia, hypersomnia, short and long sleep duration, obstructive sleep apnea, restless legs syndrome and eveningness orientation at baseline all led to subsequent depression. Those with propensity to late meal patterns, heightened levels of cortisol in awakening response and low robustness of rest-activity rhythm at baseline had higher risks for later depression. Among insomnia subtypes, difficulty initiating sleep and difficulty maintaining sleep predicted future depression. Notably, persistent insomnia at baseline contributed to more than two-fold risk of incident depression compared to insomnia. Moreover, insomnia symptom numbers showed dose-dependent relationship with the incident depression. In conclusion, different types of sleep disorders and non-sleep circadian disorders were proven to be risk factors of subsequent depression, and mechanisms underlying the relationship between sleep disorders, non-sleep circadian disorders and subsequent depression should be further elucidated in the future.

Association between Sleep Duration and Depression among the Elderly Population in China

OBJECTIVES

The objective of this study was to understand how sleep duration could affect depression among elderly in China.

METHOD

A total of 7103 individuals aged 60 and older were selected from China Health and Retirement Longitudinal Study. A generalized linear mixed-effects model was used to estimate the relationship between sleep duration and depression, and we performed stratified analyses by age: young-old elderly, old-old elderly and oldest-old elderly.

RESULTS

Short sleep duration significantly incresased CES-D10 depression scores. In addition, the participants with middle sleep duration had higher CES-D10 scores compared to the participants with long sleep duration among young-old elderly, and we found that middle sleep duration was not significantly different from CES-D10 scores after adjustment for demographics, frequencies of activities and Chronic diseases.

CONCLUSIONS

These findings suggested that there was a complex association between depression and sleep duration among elderly in China. Different from previous research results on the middle or normal sleep time of the elderly, the middle sleep duration maybe not optimal sleep duration in this study. Investigation of sleep extension to prevent depression may be warranted among the elderly.

The impact of social networks on sleep among a cohort of college students

Background

Sleep duration and quality are associated with physical and mental wellbeing. This paper examines social network effects on individual level change in the sleep quantity and quality from late adolescence to emerging adulthood and its associated factors, including the influence of peers on sleep behavior and the impact of changes in network size.

Methods

We use sleep data from 619 undergraduates at the University of Notre Dame obtained via Fitbit devices as part of the NetHealth project. The data were collected between August 16, 2015 and May 13, 2017. We model trends in sleep behaviors using latent growth-curve models.

Results

Controlling for the many factors known to impact sleep quantity and quality, we find two social network effects: increasing network size is associated with less sleep and a student's sleep levels are influenced by his or her peers. While we do not find any consistent decline in sleep quantity over the 637 days, daily fluctuations in sleep quantity are associated with changes in network size and the composition of a student's network. As a student's network gets bigger, s/he sleeps less, and when a student's contacts sleep more (or less) than s/he does, the student becomes more like his or her contacts and sleeps more (or less).

Conclusions

Social networks can and do impact sleep, especially sleep quantity. In contexts where students want to have larger networks, the difficulties of increasing network size and maintaining larger networks negatively impact sleep. Because of peer influence, the effectiveness of interventions designed to improve sleep practices could be increased by leveraging student social networks to help diffuse better sleep habits.

•

The sleep habits of 619 undergraduates were traced with Fitbit devices for 637 days.

•

Their sleep quantity measures were relatively stable but affect by peers.

•

Their sleep quality was slightly getting worse but not affected by peers.

Sleep Disturbances and the Risk of Incident Suicidality: A Systematic Review and Meta-Analysis of Cohort Studies

OBJECTIVE

The association between sleep disturbances and suicidality is not well understood partly because of the variability in research results. This meta-analysis aimed to investigate the predictive value of sleep disturbances for incident suicidality.

METHODS

A systematic search was conducted in PubMed, EMBASE, PsycINFO, and Web of Science databases for studies examining sleep disturbances and incident suicidality. Cohort studies were screened following a registered protocol, and the eligible ones were meta-analyzed.

RESULTS

Seven studies comprising 1,570,181 individuals at baseline, with 1407 attempting suicide and 1023 completing suicide during follow-up, were included. Individuals with baseline sleep disturbances had a significantly higher incidence of suicidality than did those without (relative risk = 2.17, 95% confidence interval [CI] = 1.45-3.24, I2 = 82.50%, p < .001). The risk of an incident suicide attempt was 3.54-fold higher (95% CI = 3.07-4.09, I2 = 0%, p = .44), whereas the risk of incident completed suicide was 1.80-fold higher (95% CI = 1.32-2.44, I2 = 59.33%, p = .01) in individuals with baseline sleep disturbances.

CONCLUSIONS

Incident suicide attempts and deaths are higher among people with sleep disturbances. Regular screening and preventive measures should be undertaken for people with sleep disturbances to prevent progression into suicide attempts and deaths.Clinical Trial Registration:CRD42019136397.

Short sleep duration and physical and psychological health outcomes among adult survivors of childhood cancer

BACKGROUND

To examine associations between phenotypes of short sleep duration and clinically assessed health conditions in long-term survivors of childhood cancer.

METHODS

Survivors recruited from the St. Jude Lifetime Cohort (n = 911; 52% female; mean age 34 years; 26 years postdiagnosis) completed behavioral health surveys and underwent comprehensive physical examinations. Sleep was assessed with the Pittsburgh Sleep Quality Index. Short sleep was defined as ≤6 h per night with phenotypes of short sleep including poor sleep efficiency (<85%), prolonged sleep onset latency (SOL; ≥30 min), and wake after sleep onset (≥3 times per week). Covariates included childhood cancer treatment exposures, demographics, body mass index, and physical inactivity. Separate modified Poisson regression models were computed for each health category to estimate relative risks (RR) and 95% confidence intervals (CI). Multinomial logistic regression models examined associations between sleep and an aggregated burden of chronic health conditions.

RESULTS

Short sleep duration was reported among 44% (95% CI 41%-47%) of survivors. In multivariable models, short sleep duration alone was associated with pulmonary (RR = 1.35, 95% CI 1.08-1.69), endocrine (RR = 1.22, 95% CI 1.06-1.39) and gastrointestinal/hepatic conditions (RR = 1.46, 95% CI 1.18-1.79), and anxiety (RR 3.24, 95% CI 1.64-6.41) and depression (RR = 2.33, 95% CI 1.27-4.27). Short sleep with prolonged SOL was associated with a high/severe burden of health conditions (OR = 2.35, 95% CI 1.12-4.94).

CONCLUSIONS

Short sleep duration was associated with multiple clinically ascertained adverse health conditions. Although the temporality of these associations cannot be determined in this cross-sectional study, sleep is modifiable and improving sleep may improve long-term health in survivors.

Blood pressure dipping and sleep quality in the Wisconsin Sleep Cohort

AIMS

Nondipping blood pressure (BP) is associated with higher risk for hypertension and advanced target organ damage. Insomnia is the most common sleep complaint in the general population. We sought to investigate the association between sleep quality and insomnia and BP nondipping cross-sectionally and longitudinally in a large, community-based sample.

METHODS

A subset of the Wisconsin Sleep Cohort (n = 502 for cross-sectional analysis and n = 260 for longitudinal analysis) were enrolled in the analysis. Polysomnography measures were used to evaluate sleep quality. Insomnia symptoms were obtained by questionnaire. BP was measured by 24-h ambulatory BP monitoring. Logistic regression models estimated cross-sectional associations of sleep quality and insomnia with BP nondipping. Poisson regression models estimated longitudinal associations between sleep quality and incident nondipping over a mean 7.4 years of follow-up. Systolic and diastolic nondipping were examined separately.

RESULTS

In cross-sectional analyses, difficulty falling asleep, longer waking after sleep onset, shorter and longer total sleep time, lower sleep efficiency and lower rapid eye movement stage sleep were associated with higher risk of SBP and DBP nondipping. In longitudinal analyses, the adjusted relative risks (95% confidence interval) of incident systolic nondipping were 2.1 (1.3-3.5) for 1-h longer waking after sleep onset, 2.1 (1.1-5.1) for 7-8 h total sleep time, and 3.7 (1.3-10.7) for at least 8-h total sleep time (compared with total sleep time 6-7 h), and 1.9 (1.1-3.4) for sleep efficiency less than 0.8, respectively.

CONCLUSION

Clinical features of insomnia and poor sleep quality are associated with nondipping BP. Our findings suggested nondipping might be one possible mechanism by which poor sleep quality was associated with worse cardiovascular outcomes.

Increased sleep predicts annual decreases in psychological distress: Results from a 6-year longitudinal panel sample

OBJECTIVE

To investigate the annual temporal ordering of sleep quantity and psychological distress, separating between-person stability from within-person change.

DESIGN

Random-intercepts cross-lagged panel model using 6 annual waves of longitudinal data from the New Zealand Attitudes Values Study postal questionnaire.

PARTICIPANTS

New Zealand Attitudes Values Study respondents in 2013, 2014, 2015, 2016, 2017, and 2018 (Ns = 17,890; 15,757; 13,904; 21,849; 17,031; and 47,462).

MEASUREMENTS

Participants were asked, "During the past month, on average, how many hours of actual sleep did you get per night?" and responded to the K6 psychological distress scale each year. They also reported their demographic characteristics.

RESULTS

Identified longitudinal associations between sleep duration and psychological distress in a traditional cross-lagged panel model were mostly attributable to the stability of the between-person differences in sleep duration and psychological distress. We provide evidence to suggest that increased sleep duration as indicated over a short period of time (ie, 1 month) predicted lower within-person levels of psychological distress the following year. Psychological distress did not predict sleep duration, in contrast.

CONCLUSIONS

Our analyses suggest that sleep duration in this sample of New Zealanders precedes psychological distress. This is significant given the propensity for short sleep in this sample and issues of poor mental health and short sleep among low SES indigenous members of this community. The promotion of adequate sleep duration may yield positive gains in psychological well-being.

Relationship Between Social Capital and Depressive Symptoms Among Type 2 Diabetes Mellitus Patients in Northwest China: A Mediating Role of Sleep Quality

Objective: There are few studies about the relationship between social capital (SC) and depression among type 2 diabetes mellitus (T2DM) patients, and the mechanism explaining how SC leads to decreased depression is unclear. The current study aims to explore the relationship between SC and depressive symptoms among the T2DM patients in northwest China, with a particular focus on the mediating role of sleep quality. Methods: A cross-sectional study of 1,761 T2DM patients from Ningxia Province was conducted. The Center for Epidemiological Survey Depression Scale (CES-D) and self-report sleep quality questionnaire coupled with the SC scales were administered during the face-to-face survey. The Bootstrap methods PROCESS program is employed to test the mediation model. Results: The prevalence of depressive symptoms among T2DM patients was 24.8%. After controlling for covariates, the SC (r = -0.23, p < 0.001) was negatively correlated with CES-D score; the sleep quality was also negatively correlated with CES-D score (r = -0.31, p < 0.001); and the SC was positively correlated with sleep quality (r = 0.10, p < 0.001). Logistic regression analysis showed that SC was inversely related to the risk of depressive symptoms. Meanwhile, sleep quality was negatively associated with depressive symptoms. Sleep quality has mediated the relationship between SC and depressive symptoms among T2DM patients (explaining 12.6% of the total variance). Conclusions: We elucidated how SC interacted with depressive symptoms through the mediation pathway of sleep quality using a representative sample of the Chinese diabetes patients. The findings indicate that the improvement of SC and sleep quality may help in maintaining mental health among T2DM patients. Hence, clinicians can suggest that patients communicate more with others to improve the SC and, in turn, maintain their health.

Long working hours and psychiatric treatment: A Danish follow-up study

Objective:

This study aimed to estimate prospective associations between long working hours and (i) redeemed prescriptions for psychotropic drugs and (ii) psychiatric hospital treatment due to mood, anxiety or stress-related disease, among full-time employees in Denmark.

Methods:

Full-time employees who participated in the Danish Labor Force Survey sometime in the period 2000–2013 (N=131 321] were followed for up to five years in national registers for redeemed prescriptions for psychotropic drugs and psychiatric hospital treatment due to mood, anxiety or stress-related disease. Rate ratios (RR) were estimated for 41–48 versus 32–40 and >48 versus 32–40 working hours a week. The analyses were controlled for sex, age, night shift work, calendar time of the interview and socioeconomic status (SES). Prevalent cases were excluded in primary analyses.

Results:

The RR for psychotropic drugs were estimated at 0.94 [99% confidence interval (CI) 0.88–1.01] for 41–48 versus 32–40 working hours a week and 1.08 (99% CI 0.99–1.18) for >48 versus 32–40 working hours a week. The corresponding RR for psychiatric hospital treatments were estimated at 0.90 (95% CI 0.75–1.08) and 0.96 (95% CI 0.76–1.21). We did not find any statistically significant interaction between weekly working hours and age, sex, SES or night shift work.

Conclusion:

Long working hours as they occur in in the general working population of Denmark are not an important predictor of mental ill health.

Prospective Associations Between Working Time Arrangements and Psychiatric Treatment in Denmark: Protocol for a Cohort Study

BACKGROUND

The burden of mental ill health in working-age populations has prompted research on possible links between work-related factors and mental ill health. Long working hours and night shift work are some of the factors that have been studied in relation to the risk of developing mental ill health. Yet, previous studies have not generated conclusive evidence, and further studies of high quality are needed.

OBJECTIVE

This study aims to investigate the prospective association between working time arrangements and mental health in terms of psychotropic drug usage or psychiatric hospital treatment in the general working population of Denmark.

METHODS

Data on total weekly working hours in any job and night shift work from the Danish Labor Force Survey 2000-2013 will be linked to data from the Psychiatric Central Research Register (expected 2400 cases during 700,000 person years at risk) and National Prescription Registry (expected 17,400 cases during 600,000 person years at risk). Participants will be followed for up to 5 years. We will use Poisson regression to separately analyze incidence rates of redeemed prescriptions for psychotropic medicine and incidence rates of psychiatric hospital treatment due to mood disorders, anxiety disorders, or stress-related disorders as a function of weekly working hours and night shift work. The analyses will be controlled for sex, age, calendar time of the interview, and socioeconomic status.

RESULTS

This is a study protocol. Power calculations indicate that the study has sufficient statistical power to detect relatively small differences in risks and minor interactions (eg, ~90% power to detect a rate ratio of 1.1 for psychoactive medication use). We expect the analyses to be completed by the end of 2020 and the results to be published in 2021.

CONCLUSIONS

In this study protocol, all hypotheses and statistical models of the project have been completely defined before we link the exposure data to the outcome data. The results of the project will indicate to what extent and in what direction the national burden of mental ill health in Denmark has been influenced by long working hours and night shift work.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

DERR1-10.2196/18236.

Relationship between insomnia and depression in a community sample depends on habitual sleep duration

Sleep disturbances, such as short sleep duration and insomnia, are core features of depression. However, it is unclear if sleep duration and insomnia have an interactive effect on depression severity or individual symptoms. Data were drawn from a community sample (N = 1007) containing responses on the Insomnia Severity Index, Patient Health Questionnaire-9 (PHQ-9), and average sleep duration. Regression analyses determined the prevalence risks (PR) of symptoms of depression based on insomnia severity and sleep duration. Depression severity was related to insomnia severity (PR 1.09, p < 0.001) and short sleep duration (PR 1.52, p < 0.001), but the interaction between the two was negative (PR 0.97, p < 0.001). Insomnia severity increased the prevalence risk of all individual depression symptoms between 8 and 15%, while sleep duration increased the prevalence risk of appetite dysregulation (PR 1.86, p < 0.001), fatigue (PR 1.51, p < 0.001), difficulty concentrating (PR 1.61, p = 0.003), feelings of failure (PR 1.58, p = 0.002), and suicidal behavior (PR 2.54, p = 0.01). The interaction of sleep duration and insomnia was negative and ranged between 3 and 6%. In clinically significant depression (PHQ >=10), only insomnia severity increased the prevalence risk of depression severity (PR 1.02, p = 0.001). Insomnia and short sleep predict prevalent depression, but their interactive effect was negative. Thus, while insomnia had a greater association with depression severity and symptoms, this association was dependent on habitual sleep duration.

Longitudinal Association Between Sleep Duration and Depressive Symptoms in Chinese Elderly

AIM

This study aimed to evaluate the longitudinal association between sleep duration and depressive symptoms among the elderly in China.

METHODS

A data set from China Health and Retirement Longitudinal Study (CHARLS) in 2011, 2013 and 2015 was adopted with a total of 22,847 respondents aged ≥60-years-old. A linear regression analysis with generalized estimating equations was employed to examine the longitudinal associations between duration of total sleep, nighttime sleep and daytime nap, and depressive symptoms.

RESULTS

An extra hour of total sleep including nighttime sleep and daytime nap was associated with lower incidence of depressive symptoms among the elderly after adjusting all confounders (OR=0.83, 95% CI: 0.82-0.84). In addition, an extra hour of nighttime sleep (OR=0.82, 95% CI: 0.80-0.83) or daytime nap (OR=0.93, 95% CI: 0.89-0.97) was also negatively associated with depressive symptoms among the elderly. After controlling the total sleep time, an extra hour of nighttime sleep was negatively associated with depressive symptoms (OR=0.88, 95% CI: 0.84 to 0.92), while an extra hour of daytime nap displayed a positive association with depressive symptoms (OR=0.88, 95% CI: 0.84 to 0.92). Compared with the moderate nappers, only extended nappers had significantly higher incidence of depressive symptoms (OR=1.32, 95% CI: 1.19 to 1.45).

CONCLUSION

For the elderly in China, increasing their total sleep, nighttime sleep, and/or daytime nap duration would reduce the incidence of depressive symptoms. Moreover, after fixing the total sleep time, increasing nighttime sleep was more beneficial to the decrease of the incidence of depressive symptoms than daytime nap.

Association of socioeconomic and lifestyle-related risk factors with mental health conditions: a cross-sectional study

Background

There is rising public concern over the widening health inequalities in many countries. The aim of this study was to clarify the associations of socioeconomic status (SES)-related variables, such as levels of household disposable income and employment status, and lifestyle factors with mental health conditions among Japanese adults aged 40 to 69.

Methods

A cross-sectional study of 3085 participants (1527 males and 1558 females) was undertaken by using a self-administered questionnaire that included the Japanese version of the 12-item General Health Questionnaire (GHQ-12) and questions related to socioeconomic and lifestyle factors.

Results

The prevalence of poor mental health conditions, represented by a GHQ-12 score of 4 or more, was 33.4% among males and 40.4% among females. Males whose annual household disposable income was less than 2 million yen had significantly higher GHQ-12 scores than those with an annual household disposable income above 2 million yen. As per binary logistic regression analyses, short sleep duration and the absence of physical exercise were significantly related to poor mental health conditions among both males and females. Among females, a household disposable income of less than 2 million yen could be a risk factor for poor mental health conditions. Age and habitual drinking were inversely associated with poor mental health conditions.

Conclusions

Low levels of household disposable income and unhealthy lifestyle factors were significantly associated with mental health conditions. These results suggest the importance of improving unhealthy lifestyle behaviours and developing effective health promotion programmes. In addition, there is a need for social security systems for people from different socioeconomic backgrounds.

Prolonged mobile phone use is associated with depressive symptoms in Chinese adolescents

BACKGROUND

Prolonged screen time has negative impacts on health and well-being. This study examined the association between the duration of mobile phone use (DMPU) and depressive symptoms in a large sample of Chinese adolescents.

METHODS

11,831 adolescent students participated in the baseline Shandong Adolescent Behavior and Health Cohort (SABHC) survey in Shandong, China in 2015. A self-administered questionnaire was used to measure DMPU on weekdays and the weekend, sleep, mental health, and family environment. The Center for Epidemiologic Studies Depression Scale (CES-D) and Youth Self-Report (YSR) depression scales were used to assess depressive symptoms.

RESULTS

The mean age of participants was 15.0 (SD = 1.5) and 51% were male. The prevalence of depressive symptoms increased with prolonged DMPU. After adjusting for adolescent and family covariates, DMPU ≥ 2 h/day on weekdays (OR = 1.78, 95%CI = 1.48-2.15) and ≥ 5 h/day on the weekend (OR = 1.67, 95%CI = 1.41-1.98) was associated with increased risk of depressive symptoms as assessed by CES-D. The DMPU-depression association was found to be partially mediated by short sleep duration or insomnia. Similar associations were observed for depression as assessed by YSR.

STUDY LIMITATION

This is a cross-sectional survey. Mobile phone use and depressive symptoms were measured by self-report.

CONCLUSIONS

Prolonged mobile phone use of ≥ 2 h on weekdays and ≥ 5 h on the weekend is associated with an increased risk of depressive symptoms. The association appears to be partially mediated by sleep disturbances.

Sexual function and distress in postmenopausal women with chronic insomnia: exploring the role of stress dysregulation

OBJECTIVE

Menopause triggers changes in sexual function and many women develop sexual problems. Insomnia is common in postmenopausal women, and disturbed sleep has been linked to poor sexual health. Thus, postmenopausal women with insomnia may be especially vulnerable to developing sexual difficulties. This study estimated rates of sexual distress in postmenopausal women with chronic insomnia and explored associations between various facets of sexual health, insomnia symptoms, and insomnia-related stress dysregulation.

DESIGN

Cross-sectional.

SETTING

Large multi-site health system in the US.

PARTICIPANTS

150 postmenopausal women diagnosed with DSM-5 chronic insomnia disorder (56.44±5.64 years) completed measures of sexual distress, sexual function, hot flashes, insomnia symptoms, depression, and stress dysregulation in the forms of cognitive-emotional arousal (worry, rumination), sleep reactivity, and somatic hyperarousal.

RESULTS

Nearly half of the sample endorsed clinically significant sexual distress (46.9%). Insomnia symptoms were largely associated with poor sexual arousal, orgasmic dysfunction, sexual distress, and sexual dissatisfaction. Insomnia-related stress dysregulation was similarly associated with these facets of sexual health but was also linked to problems with low desire and greater vaginal pain during sex. Hot flashes and depression were negatively associated with sexual health.

CONCLUSION

Postmenopausal women with chronic insomnia endorse high rates of sexual distress. Although compromised sexual function appears directly related to poor sleep itself, our data suggest that stress dysregulation may play vital role in sexual problems endorsed by postmenopausal insomniacs, particularly regarding low desire and vaginal pain. Prospective research is needed to characterize the evolution of these co-occurring symptoms.

Personal, behavioral, and perceived environmental factors associated with late-life depression in older men and women

INTRODUCTION

Previous investigations on factors associated with depression were highly focused on personal characteristics and health behaviors; however, few studies used an ecological perspective on the issue, much less on sex differences. This study examined the factors associated with depression, including any sex differences.

METHODS

A total of 1025 Taiwanese adults older than 65 years were recruited. Their personal demographics, lifestyle behaviors, and perceived environmental factors were obtained through a telephone-based survey. The multiple factors associated with depression in older adults were examined using logistic regression analyses.

RESULTS

Fully logistic regression analyses revealed that poor self-rated health (odds ratio =2.54) was correlated with a greater likelihood of depression. Aside from poor self-rated health, being older, sufficient leisure time spent in walking, and perceptions of a safe environment were associated with lower risks of depression in older men, whereas having hypertension and excessive TV viewing were associated with higher risks of depression in older women.

CONCLUSION

Apart from self-rated health, sex differences in the associations of factors such as leisure-time walking, TV watching, and safe traffic environment with depression were observed among older adults. Strategies applied for geriatric depression prevention should take into consideration different sex group.

Differential effects of citalopram on sleep-deprivation-induced depressive-like behavior and memory impairments in mice

Recently there is increasing concern over the association between sleep deprivation (S-Dep) and depression. Mounting evidence suggests that S-Dep might be a risk factor for depression. However, underlying molecular mechanism remains elusive and currently there is no effective therapy to negate the effects of S-Dep. In this study, we aimed to examine whether subchronic treatment of citalopram (CTM), an antidepressant, can attenuate the negative effects of S-Dep in mice. Three-month-old C57BL/6J mice were divided into control, S-Dep, CTM control and CTM + S-Dep groups. CTM and CTM + S-Dep group treated with citalopram for 5 consecutive days at a dose of 10 mg/kg per day before experimental procedure. S-Dep and CTM + S-Dep group mice were sleep deprived for 24 h using an automated treadmill method. Our results revealed that S-Dep animals displayed an increased depressive-like behavior in forced swim, tail suspension and sucrose preference test and anxiety-like behavior in the open field and elevated plus maze, as well as disrupted spatial memory in Morris water maze. Western blotting analysis revealed that S-Dep caused reductions in the levels of the plasticity- and memory-related signaling molecules i.e. pCaMKII and pCREB in the hippocampus. Moreover, S-Dep animals showed synaptic plasticity deficits in the Schaffer collateral pathway. Interestingly, subchronic CTM treatment prevented S-Dep-induced decrease in pCaMKII and pCREB levels in the hippocampus. Furthermore, CTM treatment prevented S-Dep-induced deficits in synaptic plasticity, spatial memory, depressive-like behavior in sucrose preference test and anxiety-like behavior in open field test but not in force swim, tail suspension and elevated plus maze test. This data suggests differential effects of CTM on S-Dep-associated behavioral alterations and cognitive impairments.

Single-Item Measures for Detecting Sleep Problems in United States Military Veterans

BACKGROUND

As many as two-thirds of post-9/11 military veterans complain of sleep problems, including insomnia-like symptoms. Left untreated, chronic sleep problems increase the risk for a range of negative outcomes, including incident mental health disorders. However, sleep problems remain overlooked in primary care settings. To date, no brief sleep screeners have been developed or validated. Items assessing insomnia and poor sleep are often embedded into commonly used psychological assessments, and may serve as a viable first step in screening.

OBJECTIVE

The objective of this study was to examine the utility of three single items (i.e., trouble falling asleep, awakening in the early morning, and sleep that is restless or disturbed) embedded into the Symptom Checklist-90-Revised (SCL) for identifying two outcomes of interest, poor sleep and probable insomnia.

DESIGN

Data were drawn from the cross-sectional Post-Deployment Mental Health Study, hosted by the Mid-Atlantic VA Mental Illness Research, Education, and Clinical Center. Item performance was evaluated using sensitivity, specificity, and predictive value calculations, along with receiver operating characteristic (ROC) curves.

PARTICIPANTS

Post-9/11 U.S. military veterans with one or more overseas deployments and with no current DSM Axis I mental health disorder (N = 1118).

MAIN MEASURES

An in-person health and sleep questionnaire, including the Pittsburgh Sleep Quality Index (PSQI) and the Symptom  Checklist (SCL).

KEY RESULTS

Using an item response of 1, all three items demonstrated moderate sensitivity (0.70-0.78) and acceptable rates of false positives and false negatives (0.23-0.48 and 0.11-0.42, respectively) in predicting both outcomes, poor sleep and probable insomnia.

CONCLUSIONS

Our initial findings suggest that existing items in the SCL may serve as a first step in screening for sleep problems. Early detection and treatment of sleep problems might prevent or ameliorate several negative outcomes, including incident mental health disorders.

The bidirectional relationship between sleep duration and depression in community-dwelling middle-aged and elderly individuals: evidence from a longitudinal study

BACKGROUND

There are several studies that have focused on the relationship between sleep duration and depression, however, only a few prospective studies have centered on the bidirectional relationship between them. This four-year longitudinal study aimed to identify the association between sleep duration and depression in community-dwelling mid-age and elderly individuals.

METHODS

10,704 participants from the China Health and Retirement Longitudinal Study (CHARLS) were included for baseline and four-year follow up. Of these individuals, 7866 and 2956 were used to identify the effects of sleep duration on onset and recurrent depression respectively. 4504 individuals with normal sleep duration at baseline were included to examine the effects of depression on changes of sleep time. The 10-item version of the Centre for Epidemiological Studies Depression scale (CESD-10) was used to access depressive symptoms, as well sleep duration was self-reported.

RESULTS

Participants with short sleep duration (<5 and 5-6 h) had a higher risk of depression onset (OR 1.69 [1.36-2.11], 1.48 [1.19-1.84]) and recurrent depression (OR 1.44 [1.12-1.86], 1.32 [1.00-1.74]) compared to participants with normal sleep durations (7-8 h). Long sleep durations (>9 h) had no significant risks for depression. Males and the elderly (over 60 years-old) were more sensitive to short sleep durations and experienced a higher incidence of depression. Individuals with depression were more likely to have short sleep durations instead of long ones (RRR 1.20 [1.02-1.43]).

CONCLUSIONS

The present study identified the bidirectional relationship between sleep duration and depression. Short sleep durations were a risk factor for the onset and recurrent depression. Conversely, depression induced short sleep durations rather than excessive sleep durations. Future studies need to focus on identifying the mechanism between sleep duration and depression, and develop additional evidence-based cost-effective interventions to prevent depression and sleep problems.

Sleep behavior and depression: Findings from the China Kadoorie Biobank of 0.5 million Chinese adults

BACKGROUND

Mixed results have shown the association between sleep behavior and depression, but evidence relating the joint effect of sleep duration and sleep disturbances is limited, especially in Chinese population.

METHODS

A total of 512,891 adults aged 30-79 years from China Kadoorie Biobank (CKB) were included. Depression was defined by Composite International Diagnostic Inventory-short form (CIDI-SF). Sleep duration and sleep disturbances, including difficulty initiating and maintaining sleep (DIMS), early morning awakening (EMA), daytime dysfunction (DDF) and any sleep disturbances (ASD), were obtained by a self-reported questionnaire. Logistic regression was applied to examine the association between sleep behavior and depression.

RESULTS

About 23.1% of participants reported short sleep duration (≤ 6h), and 5.1% reported long sleep duration (> 9h). Compared with normal sleep duration (7-9h), both groups were associated greater likelihood of having depression (short sleep: OR = 2.32, 95%CI: 2.14-2.51; long sleep: OR = 1.56, 96%CI: 1.34-1.81). Participants reported sleep disturbances were significantly associated with depression (odds ratios ranged from 3.31 to 4.17). Moreover, the associations tended to be stronger for those who reported both abnormal sleep duration and sleep disturbances (p for interactions < 0.05), especially for those who slept long.

LIMITATIONS

The cross-sectional nature of the study design limits the interpretation of the results.

CONCLUSIONS

Abnormal sleep duration and sleep disturbances were associated with depression. The associations were stronger for abnormal sleep duration accompanied with sleep disturbances, especially for a long duration. More attention should be paid on these persons in clinical practice.

Beneficial Effects of Appropriate Sleep Duration on Depressive Symptoms and Perceived Stress Severity in a Healthy Population in Korea

Background

Recently, several institutions, including the American Academy of Sleep Medicine, the Sleep Research Society, and the National Sleep Foundation, have made consensus recommendations concerning appropriate sleep duration for adults. Although numerous studies conducted in Western populations have provided evidence of the harmful effects of short or long sleep duration on mental health, it is still unclear whether these consensus recommendations are appropriate in Korean culture.

Methods

Data from 1,892 subjects with no history of medical or psychiatric diagnoses were selected from the Korea National Health and Nutrition Examination Survey of 2014. Subjects were divided into seven groups based on their sleep duration (≤4, 5, 6, 7, 8, 9, and ≥10 hours). Depressive symptoms were measured using the Patient Health Questionnaire-9 and perceived stress severity was evaluated using a Likert-type scale. Group differences in depressive symptoms and severity of stress were analyzed using an analysis of covariance.

Results

Depressive symptoms in subjects with sleep duration of ≤4 hours (5.7±5.9) or 5 hours (3.4±3.9) were higher than in subjects with a sleep duration of 7 (2.2±2.9) or 8 hours (2.2±2.9) (corrected P<0.05). Furthermore, subjects with a short sleep duration (5 hours or below) had greater perceived stress severity than subjects with a sleep duration of 7 or 8 hours (corrected P<0.05).

Conclusion

Our results suggest that maintaining an appropriate sleep duration as found in the recent consensus recommendation is important for mental health, even in healthy subjects without any medical or psychiatric illnesses, in Korea.

Sleep, resilience, and psychological distress in United States military Veterans

Sleep problems are prevalent among Veterans. Left untreated, such problems may elevate psychological distress and increase risk of subsequent mental health disorders. Psychological resilience may buffer against negative psychological outcomes, yet the relationship between sleep and resilience has not been studied. This study explored poor sleep, resilience, and psychological distress using questionnaires collected as part of the Study of Post-Deployment Mental Health. Participants (N = 1,118) had served in the US military since September 11, 2001, had one or more overseas deployments, and were free from a past-month DSM-defined mental health disorder. Hierarchical linear regression was used to examine the association between poor sleep quality (Pittsburgh Sleep Quality Index total score) and psychological distress (Global Symptom Index; Symptom Checklist-90-R), controlling for demographic and health characteristics. Moderation analyses tested for a potential buffering effect of resilience (Connor-Davidson Resilience Scale). Poor sleeping Veterans had worse physical and psychological health, lower resilience, and endorsed more lifetime traumatic events. Poor sleep was associated with greater psychological distress controlling for health and demographic characteristics. Both resilience factors-adaptability and self-efficacy-had significant buffering effects on the relationship between poor sleep and psychological distress, suggesting that resilience may protect against negative outcomes in poor sleepers. Additional research is warranted to better understand the relationships between sleep, resilience, and psychological distress. Such research may inform pertinent prevention efforts, including interventions that improve sleep, enhance resilience, and protect against incident mental health diagnoses.

An Aggregate Measure of Sleep Health Is Associated With Prevalent and Incident Clinically Significant Depression Symptoms Among Community-Dwelling Older Women

Objectives

Sleep can be characterized along multiple dimensions. We investigated whether an aggregate measure of sleep health was associated with prevalent and incident clinically significant depression symptoms in a cohort of older women.

Methods

Participants were older women (mean age 80.1 years) who completed baseline (n = 6485) and follow-up (n = 3806) visits, approximately 6 years apart, in the Study of Osteoporotic Fractures (SOF). Self-reported sleep over the past 12 months was categorized as "good" or "poor" across 5 dimensions: satisfaction with sleep duration, daytime sleepiness, mid-sleep time, sleep onset latency, and sleep duration. An aggregate measure of sleep health was calculated by summing the number of "poor" dimensions. Clinically significant depression symptoms were defined as a score ≥6 on the Geriatric Depression Scale. Relationships between sleep health and depression symptoms were evaluated with multivariate logistic regression, adjusting for health measures and medications.

Results

Individual sleep health dimensions of sleep satisfaction, daytime sleepiness, mid-sleep time, and sleep onset latency were significantly associated with prevalent depression symptoms (odds ratios [OR] = 1.26-2.69). Sleep satisfaction, daytime sleepiness, and sleep onset latency were significantly associated with incident depression symptoms (OR = 1.32-1.79). The number of "poor" sleep health dimensions was associated in a gradient fashion with greater odds of prevalent (OR = 1.62-5.41) and incident (OR = 1.47-3.15) depression symptoms.

Conclusion

An aggregate, multidimensional measure of sleep health was associated with both prevalent and incident clinically-significant depression symptoms in a gradient fashion. Future studies are warranted to extend these findings in different populations and with different health outcomes.

Relapse insomnia increases greater risk of anxiety and depression: evidence from a population-based 4-year cohort study

OBJECTIVE

We investigated the longitudinal impacts of insomnia on the subsequent developments of anxiety and depression during a four-year follow-up. We further categorized individuals with insomnia into different insomnia subgroups to examine whether the risk of anxiety and depression varies by subtype.

METHODS

Participants were identified from National Health Insurance enrollees in Taiwan during 2002-2009. The study included 19,273 subjects with insomnia and 38,546 matched subjects without insomnia. All subjects did not have previous diagnosis of insomnia, sleep apnea, anxiety, or depression.

RESULTS

Compared with non-insomniacs, insomniacs had a higher risk of developing anxiety only [adjusted hazard ratio (HR) = 8.83, 95% CI = 7.59-10.27], depression only (adjusted HR = 8.48, 95% CI = 6.92-10.39), and both anxiety and depression (adjusted HR = 17.98, 95% CI = 12.65-25.56). When breaking down the insomnia subgroups, individuals with a relapse of insomnia (adjusted HR = 10.42-26.80) had the highest risk of anxiety only, depression only, and both anxiety and depression, followed by persistent insomnia (adjusted HR = 9.82-18.98), then remitted insomnia (adjusted HR = 4.50-8.27). All three insomnia subgroups had a greater four-year cumulative incidence rate than the non-insomnia group for anxiety only, depression only, and both anxiety and depression (p < 0.0001).

CONCLUSION

Our findings reinforce the clinical predictor role of insomnia in the future onset of anxiety or/and depression. Awareness of insomnia and treatment of insomnia should be recommended at clinics, and patterns of insomnia should be monitored to help treatment and control of subsequent psychiatric disorders. Future research with comprehensive data collection is needed to identify factors that contribute to different insomnia subtypes.

Utility of the Fitbit Flex to evaluate sleep in major depressive disorder: A comparison against polysomnography and wrist-worn actigraphy

BACKGROUND

Sleep disturbance is a common and important component of affective illness. Fitness activity trackers are emerging as alternative means to estimate sleep in psychiatric patients; however, their ability to quantify sleep in mood disorders has not been empirically evaluated. Thus, this study sought to evaluate the utility of the Fitbit Flex (FBF) to estimate sleep in patients with major depressive disorder (MDD) relative to gold standard polysomnography (PSG) and a widely-used actigraph (Actiwatch-2; AW-2).

METHODS

Twenty-one patients with unipolar MDD wore the FBF and AW-2 during in-laboratory PSG. Bland-Altman analysis compared sleep variables among devices. Epoch-by-epoch analysis further evaluated sensitivity, specificity, and accuracy for the FBF and AW-2 relative to PSG.

RESULTS

The FBF demonstrated significant limitations in quantifying sleep and wake, relative to PSG. In the normal setting, the FBF significantly overestimated sleep time and efficiency, and displayed poor ability to correctly identify wake epochs (i.e. low specificity). In the sensitive setting, the FBF significantly underestimated sleep time and efficiency relative to PSG. Performance characteristics of the FBF were more similar to the AW-2 in the normal compared to sensitive setting.

LIMITATIONS

Participants were young to middle aged and predominantly female, which may limit generalizability of findings. Study design also precluded ability to assess longitudinal performance of FBF.

CONCLUSIONS

The FBF is not an adequate substitute for PSG when quantifying sleep in MDD, and the settings of the device sizably impact its performance relative to PSG and other standard actigraphs. The limitations and capabilities of the FBF should be carefully considered prior to clinical and research implementation.

Inquiring about insomnia may facilitate diagnosis of depression in the primary care setting

AIM

Depression is often undiagnosed in primary care. Asking about sleep status is much easier than asking about mood. This study was conducted to examine the relation between insomnia and depression.

METHODS

New patients aged 35-64 years were recruited from internal medicine clinics in Japan. Self-administered questionnaires were employed. Depression was evaluated by the Zung Self-Rating Depression Scale and the Profile of Mood States. Sleep status was investigated using the Pittsburgh Sleep Quality Index. Likelihood ratios of insomnia for depression were calculated. To assess the relation between insomnia and depression independent of confounding factors, adjusted odds ratios (OR) and 95% confidence intervals (CI) were calculated using multiple logistic regression analyses.

RESULTS

Among 598 subjects, 153 (25.6%) were assessed as having depression. 'Very bad sleep quality, with difficulty falling asleep within 30 min ≥3 times/week' showed a positive likelihood ratio of 20.36 (95%CI, 2.53-164) while 'not very good sleep quality' had a negative likelihood ratio of 0.32 (95%CI, 0.14-0.72). Adjusted for sex, age, underlying diseases, major life events, lifestyle habits, and relationship problems, significant OR for depression were observed for 'difficulty falling asleep within 30 min ≥3 times/week' (OR, 2.53; 95%CI, 1.07-5.98), 'waking up in the middle of the night or early morning ≥3 times/week' (OR, 3.09; 95%CI, 1.58-6.05), and 'fairly bad sleep quality' (OR, 3.65; 95%CI, 1.34-9.96).

CONCLUSION

Inquiring about the weekly frequency of difficulty 'falling asleep within 30 min,' 'waking up in the middle of the night or early morning,' and 'sleep quality' may help to diagnose depression.

Paradoxical sleep deprivation modulates depressive-like behaviors by regulating the MAOA levels in the amygdala and hippocampus

Paradoxical sleep is closely associated with depression, and brain monoamine oxidase A (MAOA) plays an important role in depression. However, the precise relationship between sleep and depression and the role of MAOA in this process remains unknown. Therefore, we established a paradoxical sleep deprivation model using the "multiple small platforms over water" protocol. Mice deprived of paradoxical sleep for 3days showed no depressive-like behaviors; however, mice deprived of paradoxical sleep deprivation for 5days (P5d) showed decreased locomotive activity in the first 3days after P5d. Additionally, the P5d mice showed depressive-like behaviors one week after P5d, with a longer immobility time and a decreased sucrose preference rate. In addition, the levels of the MAOA protein and mRNA in the amygdala and hippocampus significantly increased. Furthermore, the immobility time and sucrose preference rate of P5d mice recovered when the mice were injected with phenelzine. The P5d mice displayed depressive-like behaviors, which were likely modulated by the MAOA levels in the amygdala and hippocampus.