The pooled prevalence and influential factors of non-suicidal self-injury in non-clinical samples during the COVID-19 outbreak: A meta-analysis.

BACKGROUND: COVID-19 has had an enormous impact on the mental health of people around the world, particularly adolescents. Non-suicidal self-injury (NSSI) is one of the most prominent and dangerous behaviors associated with suicide. However, few meta-analyses of the NSSI prevalence have ever been conducted since the COVID-19 outbreak. Here, we conducted a meta-analysis to estimate the pooled prevalence and elucidate the influencing factors for NSSI. METHODS: We searched PubMed, Web of Science, Embase, APA PsycINFO, CNKI and Wanfang Database for relevant literature published before April 2022. Pooled prevalence and 95 % confidence interval (CI) were used to assess NSSI prevalence. Subgroup and meta-regression analyses were performed to clarify the potential influencing factors. RESULTS: A total of 15 studies with 24,055 participants were eventually included. The results showed that the pooled overall prevalence of NSSI among overall samples during the COVID-19 pandemic was 22.5 % (95 % CI: 17.2 % to 28.9 %). Subgroup and meta-regression analyses revealed that the crucial influencing factors for NSSI included gender, age, regional distribution, and suicidal ideation. Specifically, the NSSI prevalence among adolescents and adults during the pandemic was 32.40 % and 15.70 %, respectively. Most importantly, gender is a significant influencing factor for NSSI among adolescents. CONCLUSIONS: The pooled prevalence of NSSI during the COVID-19 outbreak has surged to alarming heights, especially among adolescents. The prevalence of NSSI may be influenced by complex factors such as gender and age. Therefore, it is critical to pay attention to NSSI behaviors in the adolescent population, particularly male adolescents who appear to be susceptible.

Measuring Sleep Stages and Screening for Obstructive Sleep Apnea with a Wearable Multi-Sensor System in Comparison to Polysomnography.

Objective: To assess the performance of a wearable multi-sensor system (SensEcho) in comparison to polysomnography (PSG) in measuring sleep stages and searching for obstructive sleep apnea (OSA). Methods: Participants underwent overnight simultaneous monitoring using SensEcho and PSG in a sleep laboratory. SensEcho analyzed the recordings spontaneously, and PSG was assessed as per standard guidelines. The degree of snoring was evaluated according to the guidelines for the diagnosis and treatment of OSA hypopnea syndrome (2011 revision). The Epworth Sleepiness Scale (ESS) was used to assess general daytime sleepiness. Results: This study included 103 Han Chinese, 91 of whom (age 39.02 ± 13.84 years, body mass index 27.28 ± 5.12 kg/m2, 61.54% male) completed the assessments. The measures of total sleep time (P = 0.198); total wake time (P = 0.182); shallow sleep (P = 0.297), deep sleep (P = 0.422), rapid eye movement sleep (P = 0.570), and awake (P = 0.336) proportions were similar between SensEcho and PSG. Using an apnea-hypopnea index (AHI) cutoff of ≥ 5 events/h, the SensEcho had 82.69% sensitivity and 89.74% specificity. Almost the same results were obtained at an AHI threshold of ≥ 15 events/h. Although the specificity increased to 94.67%, it decreased to 43.75% at an AHI cutoff of ≥ 30 events/h. Conclusion: This study demonstrated that SensEcho can be used to evaluate sleep status and screen for OSA. Nevertheless, improving the accuracy of its assessment of severe OSA and further testing its effectiveness in community and home environments is necessary.

Reliability and validity of the Chinese version of the Nightmare disorder index in adolescents.

The Nightmare Disorder Index Questionnaire (NDI) was developed to measure the impact of nightmares. The purpose of this study was to investigate the psychometric properties of NDI among Chinese adolescents. This study investigated the validity and internal consistency of the Nightmare Disorder Index Chinese (NDI-CV) among 6014 Chinese adolescents who completed the NDI-CV, Nightmare Distress Questionnaire-Chinese Version (NDQ-CV), Pittsburgh Sleep Quality Index (PSQI), Insomnia Severity Index (ISI), Chinese Adolescent Daytime Sleepiness Scale (CADSS), Generalized Anxiety Disorder-7 Questionnaire (GAD-7), and Patient Health Questionnaire-9 (PHQ-9). In addition, we investigated the test-retest reliability of the NDI-CV among 423 adolescents who completed a retest of the NDI-CV after a 2-week interval. Finally, NDI-CV demonstrated good psychometric properties in a sample of Chinese adolescents (Cronbach's α coefficient of 0.876), and the 95% confidence interval for the 2-week retest correlation coefficient was 0.675-0.977 (p < 0.001).

Nightmare Distress as a Risk Factor for Suicide Among Adolescents with Major Depressive Disorder.

Purpose: Nightmare is common and is also independently implicated in suicide risk among the adolescent population. Adolescents with major depressive disorder (MDD) are at an increased risk of suicide. Therefore, comorbid nightmares may amplify suicide risk among this clinical population. This study aimed to explore the effects of nightmares on suicide risk among adolescents with MDD. Patients and Methods: Subjects were 499 outpatients aged 12-18 in four large psychiatric hospitals clinic of China, from January 1 to October 31, 2021. Simultaneously, we matched 499 healthy controls according to gender and age. All participants underwent affective state (depressive and anxiety symptoms) and sleep variable (nightmare frequency/distress, insomnia symptoms, and daytime sleepiness) evaluation as well as MDD diagnoses and determination of suicide risk by a fully structured diagnostic clinical interview. Results: Adolescents with MDD reported a higher incidence of frequent nightmares (at least one night per week) and level of nightmare distress than healthy controls (22.0% vs 6.1%; 28.85 ± 11.92 vs 17.30 ± 5.61). Over half of the patients with suicide risk (51.6%) experienced frequent nightmares compared with approximately one-third of those at a risk for suicide (30.7%). Patients with suicide risk scored scientifically higher on sleep variables, depressive and anxiety symptoms than those without the risk. Further logistic regression analysis indicated that female gender, junior grade, recurrent depressive episode, severe nightmare distress and severe depressive symptoms were independently and significantly associated with suicide risk. Conclusion: Our study provided evidence that adolescents with MDD experienced a higher prevalence of frequent nightmares and suffered more nightmare distress. Nightmare distress is an independent risk factor for suicide risk.