Comparison of Sleep Disturbances Between Older Nursing Home Residents in High- and Low-Altitude Areas.

BACKGROUND AND OBJECTIVE: This study compared sleep disturbances between older adults living in nursing home located in high- and low-altitude areas and explored the association between sleep disturbances and quality of life (QoL). METHOD: In total, 207 participants living in a high-altitude area and 437 participants in a low-altitude area were included. Sleep disturbances (ie, difficulty in initiating sleep, difficulty in maintaining sleep, and early morning awakening) were measured using standardized questions. The independent demographic and clinical correlates of sleep disturbances in high-altitude area were examined using multiple logistic regression analyses. Each type of sleep disturbance was entered as the dependent variable separately, while those with significant group differences in the univariate analyses (ie, male gender, married status, age and depressive symptoms) were entered as independent variables. RESULTS: The prevalence of any type of sleep disturbances in the whole sample was 26.09%, with 41.54% in the high-altitude area and 18.76% in the low-altitude area. Physical, psychological, social, and environmental QoL domains were negatively associated with sleep disturbances in high-altitude area. Multiple logistic regression analyses revealed that male gender and married status were less likely to have sleep disturbances, while those with more severe depressive symptoms were more likely to have sleep disturbances in high-altitude area. CONCLUSION: Sleep disturbance is common among older nursing home residents in high-altitude areas. Considering the negative impact of sleep disturbance on QoL, regular screening and treatment strategies need to be developed directly for this population.

Prevalence of suicide attempt in individuals with major depressive disorder: a meta-analysis of observational surveys.

BACKGROUND: Suicide attempt (SA), which is one of the strongest predictors of completed suicide, is common in major depressive disorder (MDD) but its prevalence across epidemiological studies has been mixed. The aim of this comprehensive meta-analysis was to examine the pooled prevalence of SA in individuals with MDD. METHODS: A systematic literature search was conducted in PubMed, Embase, PsycINFO, Web of Science and Cochrane Library from their commencement date until 27 December 2017. Original studies containing data on prevalence of SA in individuals with MDD were analyzed. RESULTS: In all, 65 studies with a total of 27 340 individuals with MDD were included. Using the random effects model, the pooled lifetime prevalence of SA was 31% [95% confidence interval (CI) 27-34%], 1-year prevalence was 8% (95% CI 3-14%) and 1-month prevalence was 24% (95% CI 15-34%). Subgroup analyses revealed that the lifetime prevalence of SA was significantly associated with the patient setting, study region and income level, while the 1-month prevalence of SA was associated with only the patient setting. CONCLUSION: This meta-analysis confirmed that SA was common in individuals with MDD across the world. Careful screening and appropriate interventions should be implemented for SA in the MDD population.

Common Use of Electroconvulsive Therapy for Chinese Adolescent Psychiatric Patients.

PURPOSE: Little is known about the use of electroconvulsive therapy (ECT) for adolescent psychiatric patients in China. This study examined the frequency of ECT and the demographic and clinical correlates of adolescent psychiatric patients hospitalized in a tertiary psychiatric hospital in China. METHODS: This was a retrospective chart review of 954 inpatients aged between 13 and 17 years treated over a period of 8 years (2007-2013). Sociodemographic and clinical data were collected from the electronic chart management system for discharged patients. RESULTS: The rate of ECT use was 42.6% in the whole sample (46.5% for patients with schizophrenia, 41.8% for major depressive disorder, 57.8% for bipolar disorders, and 23.9% for other diagnoses). Use of ECT was independently and positively associated with older age, high aggression risk at time of admission, and use of antipsychotics and antidepressants. Compared with patients with schizophrenia, those with other psychiatric diagnoses were less likely to receive ECT. The above significant correlates explained 32% of the variance of ECT use (P < 0.001). Limitations of this study included the lack of data regarding the efficacy and side effects of ECT. Furthermore, the high rate of ECT applied only to 1 setting which limits the ability to extrapolate the implications of the results to other populations. CONCLUSIONS: The use of ECT was exceedingly high in adolescent patients treated in a tertiary clinical centre in China. It is unlikely that such a high rate of ECT use is found across China or that such practice reflects standard of care for psychiatrically ill adolescents. The underlying reasons for the high use of ECT at this center warrant urgent investigations.

Inter-relationships of depressive and anxiety symptoms with suicidality among adolescents: A network perspective.

BACKGROUND: Persons with suicidality including suicidal ideation (SI), suicide plans (SP) and/or suicide attempts (SA) are at higher risk for future suicide than those without suicidality. To reduce the risk of future suicide, it is important to understand symptoms of emotional distress that have the strongest links with SI, SP and SA. This network analysis examined item-level relations of depressive and anxiety symptoms with suicidality among adolescents during the COVID-19 pandemic. METHODS: Adolescents between 12 and 20 years of age were assessed with the Patient Health Questionnaire (PHQ-9), Generalized Anxiety Disorder Scale (GAD-7), and individual binary reponse (no/yes) items assessing SI, SP, and SA during the pandemic. The structure of depressive symptoms, anxiety symptoms and suicidality was characterized using "Expected Influence" and "Bridge Expected Influence" as centrality indices in the symptom network. Network stability was tested using a case-dropping bootstrap procedure. Node-specific predictive betweenness was computed to examine short paths of anhedonia, other depressive symptoms and anxiety symptoms with suicidality. A Network Comparison Test (NCT) was conducted to examine whether network characteristics differed based on gender. RESULTS: Prevalence rates of depressive symptoms, anxiety symptoms, and suicidality were 44.60 % (95% confidence interval (CI) = 41.53-47.67 %), 31.12 % (95%CI = 28.26-33.98 %), and 16.95 % (95%CI = 14.63-19.26 %), respectively, in the study sample. The network analysis identified GAD3 ("Worry too much") as the most central symptom, followed by GAD6 ("Irritability") and PHQ6 ("Guilt") in the sample. Additionally, PHQ6 ("Guilt"), GAD6 ("Irritability"), and PHQ2 ("Sad mood") were bridge nodes linking depressive and anxiety symptoms with suicidality. A flow network indicated that the connection between S ("Suicidality") and PHQ6 ("Guilt") reflected the strongest connection, followed by connections of S ("Suicidality") with GAD2 ("Uncontrollable worrying"), and S ("Suicidality") with PHQ2 ("Sad mood"). Finally, PHQ2 ("Sad mood") was the main bridge node linking anhedonia with other depressive and anxiety symptoms and suicidality in the sample. CONCLUSIONS: Findings highlight the potential importance of reducing specific depressive and anxiety symptoms as possible means of reducing suicidality among adolescents during the pandemic. Central symptoms and key bridge symptoms identified in this study should be targeted in suicide prevention for at-risk adolescents.

Identification of central symptoms in Internet addictions and depression among adolescents in Macau: A network analysis.

BACKGROUND: Internet addiction (IA) and depression are common among adolescents and often are co-occurring. This study examined the network structures of IA and depressive symptoms (depression hereafter) in adolescents. METHODS: A total of 1,009 adolescents were recruited. IA and depression were measured using the Internet Addiction Test (IAT) and the 9 items-Patient Health Questionnaire (PHQ-9), respectively. A network analysis was conducted to identify central symptoms and bridge symptoms using centrality indices. Network stability was evaluated using the case-dropping procedure. The Network Comparison Test (NCT) was conducted to examine whether network characteristics differed by gender. RESULTS: Network analysis revealed that nodes IAT-15 ("Preoccupation with the Internet"), IAT-2 ("Neglect chores to spend more time online"), PHQ-6 ("Guilty"), and IAT-16 ("Request an extension for longer time spent online") were the most central symptoms within the model of coexisting IA and depression. The most important bridge symptom was node IAT-11 ("Anticipation for future online activities"), followed by IAT-12 ("Fear that life is boring and empty without the Internet") and IAT-19 ("Spend more time online over going out with others"). Gender did not significantly influence the network structure. The IA and depression network model showed a high degree of stability. CONCLUSION: The central symptoms along with key bridge symptoms identified could be potentially targeted when treating and preventing IA and depression among adolescents.

Network analysis of depression, anxiety, insomnia and quality of life among Macau residents during the COVID-19 pandemic.

BACKGROUND: Although the Coronavirus Disease 2019 (COVID-19) has greatly impacted individuals' mental health and quality of life, network analysis studies of associations between symptoms of common syndromes during the pandemic are lacking, particularly among Macau residents. This study investigated the network structure of insomnia, anxiety, and depression and explored their associations with quality of life in this population. METHOD: This online survey was conducted in Macau between August 18 and November 9, 2020. Insomnia, anxiety, depressive symptoms, and quality of life were assessed with the Insomnia Severity Index, Generalized Anxiety Disorder Scale, Patient Health Questionnaire, and World Health Organization Quality of Life-brief version, respectively. Analyses were performed to identify central symptoms and bridge symptoms of this network and their links to quality of life. RESULTS: 975 participants enrolled in this survey. The prevalence of depressive, anxiety and insomnia symptoms were 38.5% (95% confidence interval (CI): 35.5%-41.5%), 28.8% (95%CI: 26.0%-31.7%), and 27.6% (95% CI: 24.8%-30.4%), respectively. "Sleep maintenance" had the highest expected influence centrality, followed by "Trouble relaxing", "Interference with daytime functioning", "Irritability", and "Fatigue". Five bridge symptoms were identified: "Sleep problems", "Restlessness", "Irritability", "Severity of sleep onset", and "Motor activity". The insomnia symptom, "Sleep dissatisfaction", had the strongest direct relation to quality of life. CONCLUSION: Insomnia symptoms played a critical role in the distress symptom network regarding node and bridge centrality as well as associations with quality of life among Macau residents. Close attention to these symptoms may be critical to reducing risk and preventing exacerbations in common forms of distress in this population.

Short versions of the 32-item Hypomania Checklist: A systematic review.

PURPOSE: Bipolar disorder (BD) is frequently misdiagnosed, which can lead to negative outcomes. The 32-item Hypomania Checklist (HCL-32) is one of the most widely used self-reported screening instruments for hypomanic symptoms, which has several short versions. This systematic review examined the psychometric properties of HCL-32 short versions. DESIGN AND METHODS: Five international databases were systematically and independently searched by two researchers for studies that developed the HCL short versions. Basic demographic and clinical characteristics and the psychometric properties of the HCL short versions were recorded. FINDINGS: Eighteen studies were identified. The majority of the HCL short versions showed satisfactory to good psychometric properties. PRACTICE IMPLICATIONS: Validated HCL short versions with satisfactory psychometric properties may be helpful in screening for BD.

Sleep duration and patterns in Chinese patients with diabetes: A meta-analysis of comparative studies and epidemiological surveys.

PURPOSE: A meta-analysis on sleep duration and patterns in patients with diabetes in China. DESIGN AND METHODS: Two investigators independently carried out a systematic literature search in both international and Chinese databases. FINDINGS: A total of 47 studies with 98 911 patients were included. The pooled mean sleep duration was 7.15 hours/day in patients with diabetes and 7.49 hours/day in healthy controls. The estimated percentage of short sleep duration of less than 6 hours/day was 23.0% in patients with diabetes and 12.3% in healthy controls, while the proportion of short sleep duration of less than 7 hours/day was 38.0% in patients with diabetes and 14.1% in healthy controls. PRACTICE IMPLICATIONS: Short sleep duration was common in Chinese patients with diabetes.

Prevalence of suicidal behaviors in patients with major depressive disorder in China: A comprehensive meta-analysis.

BACKGROUND: Suicidal behaviors are common in major depressive disorder (MDD) and contribute significantly to premature death. The objective of this meta-analysis is to estimate the pooled prevalence of suicidal behaviors in patients with MDD in China. METHODS: The relevant databases in English (PubMed, Embase, PsycINFO and Cochrane Library) and Chinese (Chinese National Knowledge Infrastructure, Wanfang and Chinese Biological Medical Literature) were systematically and independently searched from their inceptions until January 23, 2017. Original studies that reported the prevalence of suicidal behaviors including suicidal ideation (SI), suicide plan (SP), suicide attempt (SA) and completed suicide (CS) were included. RESULTS: Thirty three articles that met the inclusion criteria were analyzed. The pooled lifetime prevalence of SI, SP and SA were 53.1% (95% CI: 42.4-63.4%), 17.5% (95% CI: 5.8-42.3%) and 23.7% (95% CI: 19.9-28.0%), respectively. One-month prevalence of SI and SA were 27.7% (95% CI: 15.4-44.5%) and 20.3% (95% CI: 12.1-32.2%), respectively. The pooled prevalence of SA during hospitalization and after onset of MDD were 17.3% (95% CI: 12.4-23.7%) and 42.1% (95% CI: 26.1-60.0%), respectively. Subgroup analyses revealed significant differences in both lifetime prevalence of SI and SA between genders, and between outpatients and inpatients with MDD. CONCLUSION: Suicidal behaviors are common in MDD patients in China. Regular screening and effective intervention for suicidal behavior in MDD patients are warranted.

The development and validation of a short version of the 33-item Hypomania Checklist (HCL-33).

BACKGROUND: The misdiagnosis of bipolar disorder (BD) as major depressive disorder (MDD) is common in clinical practice and may result in inappropriate treatment. The 33-item Hypomania Checklist (HCL-33) is a newly developed screening scale for BD with satisfactory psychometric properties. In this study, a short version of the HCL-33 was developed and validated to discriminate between BD and MDD. METHOD: All interviews were conducted in a major psychiatric hospital in China. The short version of HCL-33 (the HCL-23) was initially developed using a sample of 186 patients (MDD = 84, BD-I = 46, BD-II = 56) and its performance was tested in a separate sample of 164 patients (MDD = 77, BD-I = 44, BD-II = 43). RESULTS: The HCL-23 showed high internal consistency (Cronbach's alpha = 0.906) with two-factorial dimensions. Compared to the HCL-33, the HCL-23 demonstrated a marginally weaker performance in terms of sensitivity+specificity (1.38 vs 1.36 for BD vs MDD, 1.33 vs 1.32 for BD-I vs MDD, and 1.44 vs 1.42 for BD-II vs MDD). For discriminating BD, BD-I, and BD-II from MDD, the HCL-23 showed better sensitivity (0.82 vs 0.67, 0.77 vs 0.68, and 0.86 vs 0.72, respectively) than the HCL-33, while the HCL-33 showed better specificity (0.71 vs 0.55, 0.65 vs 0.55, and 0.71 vs 0.56, respectively) than the HCL-23. CONCLUSION: Both HCL-33 and HCl-23 have comparable psychometric properties and screening ability for BD. The HCL-23 is an effective screening tool for detecting BD in clinical settings. The HCL-23 was developed in China, therefore its psychometric properties need to be confirmed in different socio-cultural contexts.

Effect of adjunctive ranitidine for antipsychotic-induced weight gain: A systematic review of randomized placebo-controlled trials.

This study was a meta-analysis of randomized controlled trials (RCTs) of ranitidine as an adjunct for antipsychotic-induced weight gain in patients with schizophrenia. RCTs reporting weight gain or metabolic side effects in patients with schizophrenia were included. Case reports/series, non-randomized or observational studies, reviews, and meta-analyses were excluded. The primary outcome measures were body mass index (BMI) (kg/m2) and body weight (kg). Four RCTs with five study arms were identified and analyzed. Compared with the control group, adjunctive ranitidine was associated with marginally significant reductions in BMI and body weight. After removing an outlier study for BMI, the effect of ranitidine remained significant. Adjunctive ranitidine outperformed the placebo in the negative symptom score of the Positive and Negative Syndrome Scale. Although ranitidine was associated with less frequent drowsiness, other adverse events were similar between the two groups. Adjunctive ranitidine appears to be an effective and safe option for reducing antipsychotic-induced weight gain and improving negative symptoms in patients with schizophrenia. Larger RCTs are warranted to confirm these findings. Trial registration PROSPERO: CRD42016039735.