Assessment of mental health status among Chinese nursing staff in the intensive care unit: a network analysis.

Backgrounds: Nursing is the key group to provide healthcare services, and it is easy for nursing staff to develop mental health problems. Aims: The study aimed to evaluate prevalence of psychological symptoms in nurses working in an intensive care unit (ICU) and the inter-relationship of associations of psychological symptoms using network analysis. Methods: This study is a cross-sectional design study. The Chinese version of the Symptom Check List-90 (SCL-90) was used to measure the psychological status of ICU nurses. The network structure of psychological symptoms was characterised, and indices of 'Expected influence' were used to identify symptoms central to the network. Network stability was examined using a case-dropping bootstrap procedure. Results: Multiple logistic regression analysis found those who had worked more than 15 years were less likely to experience positive psychological symptoms, whereas nurses working in emergency ICU and other ICUs, nurses working in departments with over 16 beds were more likely to develop psychological symptoms. In addition, 'Anxiety', 'Mental degeneration' and 'Depression' were central symptoms in the network. Conclusions: ICU nurses reported a high level of psychological symptoms, which may affect the quality of their work and worsen public health problems.

The Prevalence of Burnout and its Associations with Demographic Correlates and Quality of Life among Psychiatric Nurses in China.

This study examined the prevalence of burnout and its association with quality of life (QOL) among psychiatric nurses in China.Ten psychiatric hospitals were included. Burnout and QOL were measured using standardized instruments. Altogether, 1449 nurses completed the assessment. The mean scores of emotional exhaustion (EE), depersonalization (DP) and personal accomplishment (PA) were 11.87 (SD = 6.72), 6.98 (SD = 5.71) and 22.06 (SD = 8.67), respectively. Of the participants, 59.8% (95% CI: 57-62%) experienced burnout; with 23.3% (95% CI: 21-25%) in EE, 14.6% (95% CI: 13-16%) in DP and 45.1% (95% CI: 43-48%) in PA. Psychiatric nurses who reported burnout had lower QOL in social (F (1, 1448) = 86.20, P < 0.001), physical (F (1, 1448) = 170.46, P < 0.001), psychological (F (1, 1448) = 205.63, P < 0.001), and environmental (F (1, 1448) = 120.24, P < 0.001) domains. Multiple logistic regression analysis revealed that alcohol users (P = 0.04; OR = 1.29, 95%CI: 1.01-1.64 in model 1 and P = 0.03; OR = 1.32, 95%CI: 1.04-1.69 in model 2) were significantly more susceptible to burnout, while senior nurses (P = 0.007; OR = 0.70, 95%CI: 0.53-0.91) and nurses with longer work experience (P = 0.02; OR = 0.70, 95%CI: 0.53-0.91) were less likely to develop burnout. Burnout is common in psychiatric nurses in China. In light of its negative impact on health and QOL, there is an urgent need for regular screening as well as effective preventive measures and interventions to reduce burnout within this at-risk occupational group.

Oral health in patients with dementia: A meta-analysis of comparative and observational studies.

OBJECTIVE: Poor oral health is common in dementia, but findings of epidemiological studies have been inconsistent. This meta-analysis examined oral health in patients with dementia diagnosed according to standardized diagnostic criteria. METHODS: Six international databases (PubMed, EMBASE, PsycINFO, Medline, Cochrane Library, and Web of Science) were searched from their commencement date until 8 November 2018. Oral health was measured by the Remaining Teeth (RT) and Decayed, Missing, and Filled Teeth (DMFT) Index. The mean differences (MD) and 95% confidence intervals (CI) of DMFT Index total and component scores were calculated using a random-effect model. RESULTS: Twenty-four studies were included for analyses. The pooled DMFT Index was 23.48 (95% CI: 22.34, 24.62), while the pooled score for each component was 2.38 (95% CI: 1.56, 3.20) in decayed teeth (DT), 18.39 (95% CI: 15.92, 20.87) in missing teeth (MT), 2.29 (95% CI: 0.62, 3.95) in filled teeth (FT), and 11.59 (95% CI: 9.14, 14.05) in RT. Compared to controls, people with dementia had significantly a higher DMFT Index total score (MD = 3.80, 95% CI: 2.21, 5.39, p < 0.00,001), and significantly lower number of RT (MD = -3.15, 95% CI: -4.23, -2.06, p < 0.00,001). Subgroup analyses revealed that higher DMFT Index score was significantly associated with year of survey (>2010), study design (case-control study), percentage of females (≤54.3), and the Mini Mental State Examination score (≤18.2). Higher MT score was significantly associated with study design (cross-sectional study), and lower FT score was significantly associated with year of survey (>2010). CONCLUSIONS: Oral health was significantly poorer in people with dementia compared with controls. Regular screening and effective treatment should be implemented for this population.

Gender Difference in the Prevalence of Insomnia: A Meta-Analysis of Observational Studies.

Objective: Insomnia is a major health challenge in the general population, but the results of the gender differences in the epidemiology of insomnia have been mixed. This is a meta-analysis to examine the gender difference in the prevalence of insomnia among the general population. Methods:Two reviewers independently searched relevant publications in PubMed, EMBASE, PsycINFO, Web of Science from their inception to 16 April 2019. Studies that reported the gender-based prevalence of insomnia according to the international diagnostic criteria were included for analyses using the random-effects model. Results:Eventually 13 articles were included in the meta-analysis. The pooled prevalence of insomnia in the general population was 22.0% [n = 22,980, 95% confidence interval (CI): 17.0-28.0%], and females had a significantly higher prevalence of insomnia compared with males (OR = 1.58, 95% CI: 1.35, 1.85, Z = 5.63, p < 0.0001). Subgroup analyses showed that greater gender difference was associated with the use of case-control study design and consecutive sampling method. Meta-regression analyses also revealed that higher proportion of females and better study quality were significantly associated with greater gender difference. Conclusions:This meta-analysis found that the prevalence of insomnia in females was significantly higher than males in the included studies. Due to the negative effects of insomnia on health, regular screening, and effective interventions should be implemented in the general population particularly for females.

Prevalence of sexual harassment toward psychiatric nurses and its association with quality of life in China.

OBJECTIVE: This study aimed to examine the prevalence of sexual harassment (SH) toward Chinese psychiatric nurses and its association with quality of life (QOL). METHODS: A total of 2124 psychiatric nurses were consecutively recruited from 10 psychiatric hospitals distributed across 10 provinces of China; of them, 1,449 were included for analyses. Participants' socio-demographic characteristics, experiences of workplace SH in the past year, and QOL were recorded. RESULTS: Overall, 21.5% (n = 311) of participants reported SH, with 8.4% (n = 121) reporting once, 7.1% (n = 103) reporting twice and 6.0% (n = 87) reporting three times or more. Psychiatric nurses who experienced SH had lower QOL in physical, psychological, social, and environmental domains. Multiple logistic regression analysis found that nurses with shorter clinical experience were more likely to experience SH. CONCLUSIONS: Workplace SH toward psychiatric nurses is common in mental health treatment settings in China. Considering its deleterious impact on nurses' well-being and care quality, effective staff training on the management of SH and a zero tolerance policy against SH should be developed for this population.

Cognitive Behavioural Therapy for Insomnia Monotherapy in Patients with Medical or Psychiatric Comorbidities: a Meta-Analysis of Randomized Controlled Trials.

This is a meta-analysis of randomized controlled trials (RCTs) comparing cognitive behaviour therapy for insomnia (CBT-I) monotherapy with active control treatment for insomnia in patients with medical or psychiatric comorbidities. Both international (PubMed, EMBASE, PsycINFO, Cochrane Library) and Chinese (WanFang, and CNKI) databases were systematically searched. The random effects model was used. Thirteen RCTs comparing CBT-I (n = 441) and active controls (n = 412) groups were included. CBT-I group showed significant advantage over active controls at post-treatment assessment in terms of Insomnia Severity Index (ISI; SMD = -0.74), sleep onset latency (SMD = -0.36), wake after sleep onset (SMD = -0.21), sleep quality (SMD = 0.56), Pittsburgh sleep quality index total scores (PSQI; SMD = -0.76) and the total score of dysfunctional beliefs and attitudes about sleep scale (DBAS; SMD = -1.09). Subgroup analyses revealed significant improvement in sleep onset latency in patients with psychiatric disorders (SMD = -0.45), while significant reduction of number of wakeup after sleep onset was found in patients with medical conditions (SMD = -0.31). This meta-analysis found that CBT-I monotherapy had greater efficacy than other active control treatment for insomnia in patients with medical or psychiatric comorbidities.

Worldwide prevalence of smoking cessation in schizophrenia patients: A meta-analysis of comparative and observational studies.

Although the rate of cigarette smoking is high in schizophrenia patients, the prevalence of smoking cessation in this group is reportedly low. This meta-analysis aimed to examine the prevalence of cessation among schizophrenia patients worldwide. A systematic literature search in PubMed, PsycINFO, Medline, EMBASE, Cochrane Library and Web of Science was performed from their inception date until 15 November 2018. Studies that reported prevalence of smoking cessation were synthesized using a random-effects model. Fourteen studies were included. The pooled prevalence of smoking cessation among schizophrenia patients was 14.0 % (95 % CI: 9.2-18.8 %; I2 = 97.3 %). Compared with schizophrenia patients, both healthy controls (OR = 0.45, 95 % CI:0.38-0.54, p < 0.001) and controls with other psychiatric disorders (OR = 0.79, 95 % CI:0.63-0.99, p = 0.004) had significantly higher prevalence of cessation. Subgroup and meta-regression analyses found that year of survey (after 2005), duration of smoking cessation (<6 months), outpatient setting and poor study quality were significantly associated with higher prevalence of smoking cessation. This meta-analysis found that the prevalence of smoking cessation was significantly lower among schizophrenia patients compared to healthy control and those with other psychiatric disorders. Better understanding of the barriers to smoking cessation and more effective measures for quitting smoking should be developed for patients with schizophrenia.

Prevalence of burnout in mental health nurses in China: A meta-analysis of observational studies.

OBJECTIVE: Burnout is common in mental health nurses because of work-related stress. Burnout has a negative impact on nurses' health and work performance. The prevalence of high burnout in mental health nurses has been inconclusive across studies. This meta-analysis aimed to estimate the pooled prevalence of high burnout in mental health nurses in China. METHODS: Electronic databases (PubMed, EMBASE, PsycINFO, Web of Science, CNKI, WanFang and SinoMed) were independently and systematically searched from their commencement date up to 14 May 2018. Studies that reported the prevalence of any of the 3 burnout dimensions (high Emotional Exhaustion (EE), Depersonalization (DP), and low Personal Accomplishment (PA)) as measured by the Maslach Burnout Inventory (MBI) were included and analyzed using the random-effects model. RESULTS: A total of 19 studies were included in this meta-analysis. The pooled prevalence of high EE was 28.1% (95% CI: 20.4-35.8%), DP was 25.4% (18.1-32.6%) and low PA was 39.7% (28.3-51.1%). Subgroup analyses found that short working experience, use of MBI-Human Services Survey (HSS), and younger age had moderating effects on prevalence of high burnout. CONCLUSIONS: Burnout is common in mental health nurses in China. Considering its negative impact on health and work performance, regular screening, preventive measures and effective interventions should be implemented.

Cognitive behavioural therapy monotherapy for insomnia: A meta-analysis of randomized controlled trials.

This was a meta-analysis of randomized controlled trials (RCTs) comparing the effects of cognitive behavioural therapy for insomnia (CBTI) as a monotherapy and active control treatments in persons with insomnia who have no major medical conditions or psychiatric comorbidities. PubMed, PsycINFO, EMBASE, Cochrane Library databases, WanFang and CNKI were systematically and independently searched. Standardized mean differences (SMDs) and risk ratio (RR) with their 95% confidence intervals (CIs) were calculated. Nine RCTs with 12 treatment arms comparing CBTI (n = 479) and active control (n = 510) groups were analyzed. Compared to the active control group, the CBTI group showed significantly less improvement in insomnia at post-CBTI assessment in terms of sleep efficiency (SMD: 0.32, 95% CI: 0.00 to 0.63), sleep latency (SMD: -0.33, 95% CI: -0.56 to -0.09), wake after sleep onset (SMD: -0.27, 95% CI: -0.52 to -0.01), the total scores of Pittsburgh Sleep Quality Index (SMD: -0.52, 95% CI: -0.86 to -0.19), the Insomnia Symptom Index (SMD: -0.68, 95% CI: -1.01 to -0.36), the Dysfunctional Attitudes and Beliefs About Sleep Scale (SMD: -0.76, 95% CI: -1.25 to -0.27), and the Athens Insomnia Scale (SMD: -0.66, 95% CI: -1.07 to -0.24). In this meta-analysis, CBTI monotherapy showed no advantage in improving insomnia compared with other standard treatments.

Oral health in patients with stroke: a meta-analysis of comparative studies.

Objective: This meta-analysis systematically analyzed and compared oral health between stroke patients and controls.Data source: The electronic databases of PubMed, EMBASE, PsycINFO, Medline and Web of Science were independently searched by two authors from their inception to 14 June 2018.Study selection: Eleven studies comparing oral health between stroke patients (n = 1,742) and controls (n = 1,193) were analyzed.Data extraction: The full texts of the 11 studies were independently reviewed. Data on oral health were independently extracted by two authors.Data synthesis: Mean differences (MD) and 95% confidence intervals (CI) were calculated and synthesized using fixed or random-effects models, as appropriate. Compared to controls, stroke patients had poorer oral health: they had more Dental Caries (5 studies; MD = 2.89, 95% CI: 0.91-4.88, p= .04), but less Remaining Teeth scores (6 studies; MD = -2.93, 95% CI: -3.91, -1.95; p < .00001). Both the Plaque Index (3 studies; MD = 0.21, 95% CI: 0.14, 0.28; p < .00001) and Gingival Index scores (4 studies; MD = 0.22, 95% CI: 0.14, 0.30; p < .00001) were significantly higher in stroke patients, indicating worse periodontal status.Conclusions: Stroke patients had poorer overall oral health status compared to controls. Given the importance of oral health to overall health, further research on screening for oral health problems after stroke should be conducted and effective management strategies should be devised and implemented.

Prevalence of Poor Sleep Quality in Nursing Staff: A Meta-Analysis of Observational Studies.

Objective: Poor sleep quality is common in nursing staff. This meta-analysis aimed to examine the pooled prevalence of poor sleep quality in nursing staff. Methods: A systematic search in PubMed, EMBASE, PsycINFO, and Web of Science databases was performed. Studies that reported sleep quality measured by the Pittsburgh Sleep Quality Index (PSQI) were synthesized using a random-effects model. Results: Fifty-three studies were analyzed. The pooled prevalence of poor sleep quality was 61.0% (95% CI: 55.8-66.1%). The pooled total PSQI score was 7.13 ± 0.18 (95% CI: 6.78-7.50). The pooled component scores were 1.47 ± 0.20 (95% CI of mean score: 1.08-1.85) in sleep latency, 0.91 ± 0.15 (95% CI of mean score: 0.61-1.21) in sleep duration, 1.59 ± 0.13 (95% CI of mean score: 1.35-1.84) in overall sleep disturbances, 0.33 ± 0.18 (95% CI of mean score: 0-0.67) in sleeping medication, 1.21 ± 1.20 (95% CI of mean score: 0.83-1.60) in daytime dysfunction, 1.39 ± 0.14 (95% CI of mean score: 1.11-1.67) in subjective sleep quality, and 0.66 ± 0.11 (95% CI of mean score: 0.44-0.87) in habitual sleep efficiency. Subgroup and meta-regression analyses found that PSQI cutoff values, mean age, body mass index (BMI), sample size, study quality, and work experience moderated the prevalence of poor sleep quality. Conclusions: Poor sleep quality appears to be common in nursing staff. Considering its negative impact on health, effective measures should be taken to improve poor sleep quality in this population. Longitudinal studies should be conducted to examine the contributing factors of nurses' poor sleep quality.

Prevalence of smoking in nursing students worldwide: A meta-analysis of observational studies.

BACKGROUND: Smoking is common among nursing students worldwide, but the reported prevalence is inconsistent across epidemiological studies. This is a meta-analysis of the prevalence of smoking in nursing students worldwide. DESIGN: Meta-analysis of observational studies. SAMPLE: A total of 46 studies were included in this meta-analysis. METHOD: Electronic databases (PubMed, Medline, PsycINFO, EMBASE and Web of science) were independently and systematically searched by two investigators from their commencement date up to 12 May 2018. Studies that reported the smoking rate of nursing students were included and analyzed using random-effects model. RESULTS: The pooled prevalence of current smoking was 26.6% (95% CI: 22.9-30.4%), while pooled prevalence of previous smoking was 15.5% (95% CI: 11.8-19.3%). Subgroup analyses showed that smoking rate was higher in male compared with female students (39% vs 25.2%, P < .001), while survey time, sample size, age, study design and academic year did not moderate the smoking rate (all P > .05). CONCLUSION: This meta-analysis confirmed that smoking is common in nursing students. Considering the negative impact of smoking on health, appropriate smoking cessation measures for nursing students should be developed.

Prevalence and correlates of bipolar disorder in the adult population of Hebei province, China.

BACKGROUND: Few studies have estimated the prevalence and correlates of bipolar disorder (BP) in agricultural areas of China. This study examined the one-month and lifetime prevalence of BP, its subtypes and socio-demographic factors in the adult population of Hebei province, a predominantly agricultural area of China. METHODS: A multistage, stratified, cluster random sampling method was used to estimate the prevalence and correlates of BP in adults in Hebei province, China. The expanded version of the 12-item General Health Questionnaire (GHQ-12) and the Structured Clinical Interview for DSM-IV Axis I Disorders-Patient Edition (SCID-I/P/C) were administered to establish the diagnosis of BP. RESULTS: A total of 20,884 participants were screened. The weighted lifetime prevalence of BP, BP type I (BP-I), type II (BP-II), and BP not otherwise specified (BP-NOS) were 0.20% (95% CI: 0.14-0.26%), 0.13% (95% CI: 0.08-0.18%), 0.03% (95% CI: 0.009-0.06%) and 0.03% (95% CI: 0.009-0.06%), respectively. The weighted one-month prevalence estimates were 0.12% (95% CI: 0.08-0.17%) for BP, 0.07% (95% CI: 0.04-0.11%) for BP-I, 0.03% (95% CI: 0.006-0.05%) for BP-II, and 0.02% (95% CI: 0.003-0.04%) for BP-NOS. Multiple Poisson regression analysis revealed that positive family history of any psychiatric disorder (P<0.001, OR=6.48, 95% CI: 2.53-16.56) was significantly associated with greater risk of BP. CONCLUSION: The prevalence of BP in Hebei province appears lower than in most areas of China and other countries. Continued surveillance of BP in China along with the development of primary and tertiary preventative interventions for psychiatric disorders is indicated.

Prescription of antipsychotic and concomitant medications for adult Asian schizophrenia patients: Findings of the 2016 Research on Asian Psychotropic Prescription Patterns (REAP) survey.

OBJECTIVE: Regular surveys are important to monitor the use of psychotropic medications in clinical practice. This study examined the psychotropic prescription patterns in adult Asian schizophrenia patients based on the data of the Research on Asian Psychotropic Prescription (REAP) 2016 survey. METHODS: This cross-sectional survey across 15 Asian countries/territories collected socio-demographic and clinical data with standardized procedures between March and May 2016. The socio-demographic and clinical characteristics of the patients were recorded with a standardized questionnaire. RESULTS: Altogether 3,537 adult patients with schizophrenia were consecutively screened and enrolled in the survey. The mean age was 38.66 ±â€¯11.55 years and 59.7% of the sample were male. The mean dose of antipsychotics in chlorpromazine equivalents (CPZeq) was 424 ±â€¯376 mg/day; 31.3% and 80.8% received first- and second- generation antipsychotics, respectively and 42.6% had antipsychotic polypharmacy, 11.7% had antidepressants, 13.7% had mood stabilizers, 27.8% had benzodiazepines, and 45.6% had anticholinergics. CONCLUSIONS: Psychotropic prescription patterns in Asian adult patients with schizophrenia varied across countries. Regular surveys on psychotropic medications for schizophrenia are important to monitor pharmacotherapy practice in Asia.

Antipsychotic Polypharmacy in Older Adult Asian Patients With Schizophrenia: Research on Asian Psychotropic Prescription Pattern.

BACKGROUND AND OBJECTIVE: Antipsychotic polypharmacy (APP) is a controversial topic in the treatment of older adults with schizophrenia. The objective of this study was to examine the use of APP in older adult Asian patients with schizophrenia and its associated demographic and clinical factors. METHODS: This study was based on the fourth survey of the consortium known as the Research on Asian Psychotropic Prescription Pattern for Antipsychotics. Fifteen Asian countries/territories participated in this survey, including Bangladesh, Mainland China, Hong Kong, India, Indonesia, Japan, Korea, Malaysia, Myanmar, Pakistan, Singapore, Sri Lanka, Taiwan, Thailand, and Vietnam. Basic demographic and clinical characteristics were collected using a standardized data collection form. RESULTS: Among the 879 older adults with schizophrenia included in the survey, the rate of APP was 40.5%. Multiple logistic regression analysis revealed that higher antipsychotic doses (P < .001, odds ratio [OR] = 1.003, 95% confidence interval [CI]: 1.002-1.003), longer duration of illness (P = .02, OR = 1.845, 95% CI: 1.087-3.132), and the prescription of anticholinergics (P < .001, OR = 1.871, 95% CI: 1.329-2.635), second-generation antipsychotics (P = .001, OR = 2.264, 95% CI: 1.453-3.529), and first-generation antipsychotics (P < .001, OR = 3.344, 95% CI: 2.307-4.847) were significantly associated with APP. CONCLUSION: Antipsychotic polypharmacy was common in older adult Asian patients with schizophrenia. Compared to the results of previous surveys, the use of APP showed a declining trend over time. Considering the general poor health status of older patients with schizophrenia and their increased risk of drug-induced adverse events, the use of APP in this population needs careful consideration.

The prevalence of depression in menopausal women in China: A meta-analysis of observational studies.

OBJECTIVE: Depressive symptoms (depression thereafter) are common among menopausal women but findings across studies have been inconsistent. This meta-analysis examined the pooled prevalence of depression among Chinese menopausal women. METHODS: Two investigators independently searched both international (PubMed, EMBASE and PsycINFO) and Chinese (CNKI, WanFang, SinoMed and VIP) databases from their inception date until 9 April 2019. Studies that reported the prevalence of depression as measured by the Hamilton Depression Scale (HAMD) were pooled using a random-effects model. RESULTS: Twenty-three cross-sectional studies were included in the meta-analysis. The pooled prevalence of depression in menopausal Chinese women was 36.3% (95% CI: 27.5-45.1%), with mild depression of 18.6% (95% CI: 13.4-23.8%), moderate depression of 15.3% (95% CI: 9.4-21.3%), and severe depression of 3.7% (95% CI: 1.9-5.5%). Meta-regression analyses revealed that older age (B = 0.12, z = 8.18, p < 0.001) and better study quality (B = 0. 24, z = 8.33, p < 0.001) was significantly associated with higher depression prevalence. CONCLUSIONS: Depression is common among menopausal Chinese women. Due to its negative impact on health, regular screening and effective treatments should be developed for this population.