Effectiveness of Online Mindfulness Platform in Improving Anxiety, Depression, and Stress in Adults During the COVID-19 Pandemic: A Randomized Control Trial.

COVID-19 epidemic bring a great threat to human physical and mental health. This study aimed to investigate the effectiveness of an online mindfulness platform in improving mental status. Patients from a regional hospital were randomly divided into the experimental and control groups. The experimental group received online mindfulness interventions, and control group received general health education. There were no significant differences in the stress or depression scores between the two groups (P > 0.05). Intervention group had significantly lower anxiety scores than control group at fourth and eighth weeks (P<0.001). There was no significant difference in the emotion change over time in control group (P > 0.05). The anxiety in the intervention group was significantly improved at the 4th and 8th weeks (P<0.05). Moreover, the stress and depression in the intervention group were significantly improved at the 8th week (P<0.05). Online mindfulness intervention can effectively improve emotional status.

Navigating the Global Landscape of Nursing Informatics Research Collaboration: A Blueprint for Success.

International collaboration is crucial in the field of nursing informatics research to enhance our ability to conduct globally relevant research that informs policy and practice. In this case study we describe how we have established an international research collaboration to evaluate nurses' experiences of technology use during the pandemic. We firstly describe how the collaboration was created and the successes associated with our work, before highlighting the facilitators to make an international collaboration work. We also discuss the challenges we have encountered during this collaborative enterprise, to enable other researchers who wish to establish international collaborations and learn from our experiences.

The Effects of Light Therapy on Sleep, Depression, Neuropsychiatric Behaviors, and Cognition Among People Living With Dementia: A Meta-Analysis of Randomized Controlled Trials.

OBJECTIVE: Alterations in the suprachiasmatic nucleus due to underlying pathologies disrupt the circadian rhythms in people living with dementia (PLWD). Circadian rhythms significantly impact sleep, emotional, and cognitive functions, with its synchronization depending on light exposure. We performed a meta-analysis to evaluate the effects of light therapy on sleep, depression, neuropsychiatric behaviors, and cognition among PLWD. METHODS: A systematic search was conducted in Cochrane, ClinicalTrials.gov, Embase, EBSCOhost, Ovid-MEDLINE, PubMed, Scopus, Web of Science, and CINAHL databases. The pooled effect size was calculated using the Hedges' g with random-effects model adopted in comprehensive meta-analysis software. The Cochrane risk of bias (RoB 2.0) tool evaluated the quality of studies, while Cochrane's Q and I² tests assessed heterogeneity. RESULTS: A total of 24 studies with 1,074 participants were included. Light therapy demonstrated small-to-medium effects on improving sleep parameters: total sleep time (Hedges' g = 0.19), wake after sleep onset (Hedges' g = 0.24), sleep efficiency (Hedges' g = 0.31), sleep latency (Hedges' g = 0.35), circadian rhythm (acrophase: Hedges' g = 0.36; amplitude: Hedges' g = 0.43), number of night awakenings (Hedges' g = 0.37), sleep disturbance (Hedges'g = 0.45), and sleep quality (Hedges' g = 0.60). Light therapy showed small-to-medium effect on reducing depression (Hedges' g = -0.46) with medium-to-large effect on cyclical function (Hedges' g = -0.68) and mood-related signs and symptoms (Hedges' g = -0.84) subscales. Light therapy also demonstrated small effect on reducing neuropsychiatric behaviors (Hedges' g = -0.34) with medium-to-large effect on agitation (Hedges' g = -0.65), affective symptom (Hedges' g = -0.70), psychosis (Hedges' g = -0.72), and melancholic behavior (Hedges' g = -0.91) subscales. Additionally, light therapy also improved cognition (Hedges' g = 0.39). CONCLUSION: Light therapy could be used as a supportive therapy to improve sleep, depression, cognition, and neuropsychiatric behaviors among PLWD.

Meta-analysis and moderator analysis of the prevalence of malnutrition and malnutrition risk among older adults with dementia.

BACKGROUND: Aging and dementia are common and closely related health problems in older adults, affecting their ability to maintain a healthy diet and ultimately resulting in malnutrition. OBJECTIVE: In this study, we estimated the global prevalence of malnutrition and malnutrition risk in older adults with dementia. DESIGN: Meta-analysis. DATA SOURCES: Embase, Ovid MEDLINE, PubMed, CINAHL, Scopus, and Web of Science were comprehensively searched for articles published from database inception to October 2022. METHODS: Pooled prevalence analysis was conducted using a generalized linear mixed model and a random-effects model. I2 and Cochran's Q statistics were used for identifying heterogeneity. Publication bias was evaluated using Peters' regression test and a funnel plot. Moderator analyses were conducted to investigate variations in the prevalence estimates of the included studies. All statistical analyses were conducted using R software. RESULTS: A total of 16 studies involving a total of 6513 older adults with dementia were included in the analysis. The results indicated that 32.52 % (95 % confidence interval: 19.55-45.49) of all included older adults with dementia had malnutrition, whereas 46.80 % (95 % confidence interval: 38.90-54.70) had a risk of malnutrition. The prevalence of malnutrition was found to be high among older patients living in institutionalized settings (46.59 %) and those with Alzheimer's disease (12.26 %). The factors moderating the prevalence of malnutrition included adequate vitamin B12 consumption, risk behaviors, medical comorbidities, and certain neuropsychiatric symptoms. The prevalence of malnutrition risk was high among women (29.84 %) and patients with Alzheimer's disease (26.29 %). The factors moderating the prevalence of malnutrition risk included total cholesterol level, vitamin B12 consumption, risk behaviors, medical comorbidities, and certain neuropsychiatric symptoms. CONCLUSIONS: Approximately one-third of older adults with dementia are malnourished and nearly half of older adults are at a risk of malnutrition. Encouraging collaboration among health-care professionals and ensuring early assessment and effective management of malnutrition are crucial for maintaining a favorable nutritional status in older adults with dementia. REGISTRATION: This study was registered with the International Prospective Register of Systematic Reviews (PROSPERO: CRD42022369329). TWEETABLE ABSTRACT: Globally, approximately 32.52 % of older adults with dementia are malnourished and approximately 46.80 % are at a risk of malnutrition.

Machine learning-based speech recognition system for nursing documentation - A pilot study.

PURPOSE: Considering the significant workload of nursing tasks, enhancing the efficiency of nursing documentation is imperative. This study aimed to evaluate the effectiveness of a machine learning-based speech recognition (SR) system in reducing the clinical workload associated with typing nursing records, implemented in a psychiatry ward. METHODS: The study was conducted between July 15, 2020, and June 30, 2021, at Cheng Hsin General Hospital in Taiwan. The language corpus was based on the existing records from the hospital nursing information system. The participating ward's nursing activities, clinical conversation, and accent data were also collected for deep learning-based SR-engine training. A total of 21 nurses participated in the evaluation of the SR system. Documentation time and recognition error rate were evaluated in parallel between SR-generated records and keyboard entry over 4 sessions. Any differences between SR and keyboard transcriptions were regarded as SR errors. FINDINGS: A total of 200 data were obtained from four evaluation sessions, 10 participants were asked to use SR and keyboard entry in parallel at each session and 5 entries were collected from each participant. Overall, the SR system processed 30,112 words in 32,456 s (0.928 words per second). The mean accuracy of the SR system improved after each session, from 87.06% in 1st session to 95.07% in 4th session. CONCLUSION: This pilot study demonstrated our machine learning-based SR system has an acceptable recognition accuracy and may reduce the burden of documentation for nurses. However, the potential error with the SR transcription should continually be recognized and improved. Further studies are needed to improve the integration of SR in digital documentation of nursing records, in terms of both productivity and accuracy across different clinical specialties.

Efficacy of Blue LED Phototherapy on Sleep Quality and Behavioral and Psychological Symptoms of Dementia: A Double-Blind Randomized Controlled Trial.

INTRODUCTION: People with dementia often experience behavioral and psychological symptoms of dementia (BPSD), which are a major cause of caregiver burden and institutionalization. Therefore, we conducted a double-blind, parallel-group randomized controlled trial to examine the efficacy of blue-enriched light therapy for BPSD in institutionalized older adults with dementia. METHODS: Participants were enrolled and randomly allocated into blue-enriched light therapy (N = 30) or the conventional light group (N = 30) for 60 min in 10 weeks with five sessions per week. The primary outcome was sleep quality measured by actigraphy and Pittsburgh Sleep Quality Index (PSQI). The secondary outcome was overall BPSD severity (Cohen-Mansfield Agitation Inventory [CMAI] and Neuropsychiatric Inventory [NPI-NH]). The outcome indicators were assessed at baseline, mid-test, immediate posttest, 1-month, 3-month, and 6-month follow-up. The effects of the blue-enriched light therapy were examined by the generalized estimating equation model. RESULTS: Blue-enriched light therapy revealed significant differences in the objective sleep parameters (sleep efficiency: ß = 5.81, Waldχ2 = 32.60, CI: 3.82; 7.80; sleep latency: ß = -19.82, Waldχ2 = 38.38, CI:-26.09; -13.55), subjective sleep quality (PSQI: ß = -2.07, Waldχ2 = 45.94, CI: -2.66; -1.47), and overall BPSD severity (CMAI: ß = -0.90, Waldχ2 = 14.38, CI: -1.37; -0.44) (NPI-NH: ß = -1.67, Waldχ2 = 30.61, CI: -2.26; -1.08) compared to conventional phototherapy immediate posttest, 1-month, 3-month, and 6-month follow-up. Furthermore, the effects for sleep efficiency and sleep latency lasted for up to 6 months. In the subscale analysis, the differences of the behavioral symptoms changed significantly between the groups in physical/nonaggressive (CI: -1.01; -0.26) and verbal/nonaggressive (CI: -0.97; -0.29). CONCLUSIONS: Blue-enriched light therapy is a feasible low-cost intervention that could be integrated as a comprehensive therapy program for BPSD among older adults with dementia.

Efficacy of multi-domain cognitive function training on cognitive function, working memory, attention, and coordination in older adults with mild cognitive impairment and mild dementia: A one-year prospective randomised controlled trial.

Background: Cognitive function, working memory, attention, and coordination are higher-level functions sharing a complex relationship. Limited evidence exists on the effectiveness of multi-domain cognitive function interventions to improve cognitive outcomes. We evaluated the effectiveness of such interventions on cognitive function, working memory, attention, and coordination in older adults with mild cognitive impairment and mild dementia. Methods: We conducted a double-blind, two-arm, parallel-group randomised controlled trial in community care centres of Northern Taiwan. We recruited 72 participants aged≥65 years and randomly allocated them using 1:1 block randomization (block size = 4) into experimental (multi-domain cognitive function training) (MCFT) and control groups (passive information activities) (PIA) (n = 36/group). We administered the interventions in both groups for 30 minutes per session, three sessions per week for eight weeks, for a total of 24 sessions. The outcome indicators were cognitive function assessed (mini-mental status examination), working memory (digit span), selective attention (Stroop test), visual-spatial attention (trail making test-A (TMT-A)), divided attention (trail making test-B (TMT-B)), and coordination (Berry visual-motor integration (Berry-VMI)). We evaluated the study outcomes at baseline, immediate post-test, one-month follow-up, and one-year follow-up. Results: We found no significant differences between the groups at baseline except for education. The average age of participants was 82.3 years, and most (76.4%) were female. We analysed the results by generalised estimating equations (GEE) based on the intention-to-treat (ITT) principle. The multi-domain cognitive function training was effective in improving cognitive function (ß = 1.7; 95% confidence interval (CI) = 0.63-2.31; P = 0.001), working memory (ß = -1.45; 95% CI = -2.62, -0.27; P = 0.016), and selective attention (ß = -23.3; 95% = CI -43.9, -2.76; P = 0.026) compared to passive information activities at 1-month follow-up. The effects of multi-domain cognitive function training on cognitive function (ß = 1.51; 95% CI = 0.40-2.63; P = 0.008), working memory (ß = -1.93; 95% CI -3.33, -0.54; P = 0.007), selective attention (ß = -27.8; 95% CI = -47.1, -8.48; P = 0.005), and coordination (ß = 1.61; 95% CI = 0.25, 2.96; P = 0.020) were maintained for one year. There were no significant improvements in attention outcomes (visual-spatial and divided attention) after training. Conclusions: MCFT intervention demonstrated favourable effects in improving global cognitive function, working memory, selective attention, and coordination among older adults with mild cognitive impairment and mild dementia. Thus, applying multi-domain cognitive training in older adults with mild cognitive impairment and mild dementia could help to delay the cognitive decline. Registration: Chinese Clinical Trial Registry (ChiCTR2000039306).

Comparative Effectiveness of Combined and Single Neurostimulation and Traditional Dysphagia Therapies for Post-Stroke Dysphagia: A Network Meta-Analysis.

BACKGROUND: Comparative therapeutic benefits of combined and single neurostimulation therapies including neuromuscular electrical stimulation (NMES), pharyngeal electrical stimulation (PES), repetitive transcranial magnetic stimulation (rTMS), transcranial direct current stimulation (tDCS), and traditional dysphagia therapy (TDT) remain unknown in post-stroke dysphagia (PSD) rehabilitation. Therefore, we performed the first network meta-analysis (NMA) to determine comparative effectiveness of combined and single neurostimulation and traditional dysphagia therapies for PSD. METHODS: A frequentist NMA model was performed with therapy effect sizes presented as standardized mean differences (SMD) and corresponding 95% confidence interval (95% CI) for therapy comparisons while netrank function ranked the therapies in R-Software. Meta-regression models for study characteristics were analyzed using Bayesian NMA Model. RESULTS: Overall, 50 randomized controlled studies with 2250 participants were included. NMES + TDT 3.82 (95% CI, 1.62-6.01), tDCS + TDT 3.34 (95% CI, 1.09-5.59), rTMS + TDT 3.32 (95% CI, 1.18-5.47), NMES 2.69 (95% CI, 0.44-4.93), and TDT 2.27 (95% CI, 0.12-4.41) demonstrated very large effect in improving swallowing function. NMES + TDT -0.50 (95% CI, -0.68 to -0.32, rTMS + TDT -0.44 (95% CI, -0.67 to -0.21), TDT -0.28 (95% CI, -0.46 to -0.10), and NMES -0.19 (95% CI, -0.34 to -0.04) demonstrated medium to small effect in reducing pharyngeal transit time (PTT). rTMS -0.51 (95% CI, -0.93 to -0.08) demonstrated medium effect in reducing oral transit time (OTT). No significant therapy comparison differences were found for reducing aspiration/penetration. The highest ranked therapy was NMES + TDT for better swallowing function and reduction of PTT, rTMS for reduction of OTT, and tDCS + TDT for reduction of aspiration/penetration. Therapeutic effects of the therapies were moderated by frequency, sessions, and duration. CONCLUSION: Combined therapies including NMES + TDT, tDCS + TDT, and rTMS + TDT demonstrate better therapeutic effect for improved swallowing function and reduction of PTT, OTT, and aspiration/penetration for PSD.

Global prevalence of low resilience among the general population and health professionals during the COVID-19 pandemic: A meta-analysis.

OBJECTIVE: To estimate the global prevalence of low resilience among the general population and health professionals during the COVID-19 pandemic. METHODS: Embase, Ovid-MEDLINE, PubMed, Scopus, Web of Science, CINAHL, WHO COVID-19 databases, and grey literature were searched for studies from January 1, 2020, to August 22, 2022. Hoy's assessment tool was used to assess for risk of bias. Meta-analysis and moderator analysis was performed using the Generalized Linear Mixed Model with a corresponding 95 % confidence interval (95 % CI) adopting the random-effect model in R software. Between-study heterogeneity was measured using I2 and τ2 statistics. RESULTS: Overall, 44 studies involving 51,119 participants were identified. The pooled prevalence of low resilience was 27.0 % (95 % CI: 21.0 %-33.0 %) with prevalence among the general population being 35.0 % (95 % CI: 28.0 %-42.0 %) followed by 23.0 % (95 % CI: 16.0 %-30.9 %) for health professionals. The 3-month trend analysis of the prevalence of low resilience beginning January 2020 to June 2021 revealed upward then downward patterns among overall populations. The prevalence of low resilience was higher in females, studied during the delta variant dominant period, frontline health professionals, and undergraduate degree education. LIMITATIONS: Study outcomes showed high heterogeneity; however, sub-group and meta-regression analyses were conducted to identify potential moderating factors. CONCLUSIONS: Globally, 1 out of 4 people among the general population and health professionals experienced low resilience due to COVID-19 adversity. The prevalence of low resilience was twice as much among the general population compared to health professionals. These findings provide information for policymakers and clinicians in the development and implementation of resilience-enhancing programs.

Effectiveness of respiratory rehabilitation in patients with COVID-19: A meta-analysis.

AIM: Examine effectiveness of respiratory rehabilitation and moderating factors on lung function and exercise capacity in post-COVID-19 patients. DESIGN: Meta-analysis. METHODS: R software 4.0.2 assessed the effectiveness of respiratory rehabilitation adopting the random-effects model and presenting standardised mean differences (SMDs). Heterogeneity was determined by Cochran's Q and I2 . The Cochrane Risk of Bias 2.0 and MINORS evaluated quality of the included studies. DATA SOURCES: A comprehensive search was undertaken in Cochrane, Embase, Ovid-MEDLINE, Scopus, NCBI SARS-CoV-2 Resources, ProQuest, Web of Science and CINAHL until March 2022. RESULTS: Of the 5703 identified studies, 12 articles with 596 post-COVID-19 patients were included. Eleven of our twelve studies had moderate to high quality and one study had high risk of bias assessed with MINORS and RoB 2 tool. Overall, respiratory rehabilitation was effective in improving forced expiratory volume in 1 s (1.14; 95%CI 0.39-1.18), forced vital capacity (0.98; 95%CI 0.39-1.56), total lung capacity (0.83; 95%CI 0.22-1.44), 6-minute walk distance (1.56; 95%CI 1.10-2.02) and quality of life (0.99; 95%CI 0.38-1.60). However, no significant differences were observed for ratio of the forced expiratory volume in 1 s to the forced vital capacity of the lungs, anxiety and depression. Respiratory rehabilitation for post-COVID-19 patients was effective in those without comorbidities, performed four types of exercise programs, frequency ≥3 times/week and rehabilitation time 6 weeks. CONCLUSIONS: Respiratory rehabilitation improved lung function, exercise capacity and quality of life in post-COVID-19 patients. The findings suggest rehabilitation programs for post-COVID-19 patients should use multiple respiratory exercise programs with frequency of ≥3 times per week for longer than 6 weeks. IMPACT: These findings will help improve the implementation of respiratory rehabilitation programs for post-COVID-19 patients. IMPLICATIONS FOR THE PROFESSION: Our findings can be used to develop patient-centred respiratory rehabilitation interventions by nurses and clinicians for post-COVID-19 patients. REPORTING METHOD: PRISMA guideline was followed. PATIENT OR PUBLIC CONTRIBUTION: No patient or public contribution.

Prevalence of sleep-related breathing disorders and associated risk factors among people with dementia: A meta-analysis.

OBJECTIVE: Sleep-related breathing disorders (SRBD) have shown to cause worsened cognitive impairment among people with dementia. Therefore, we conducted the first meta-analysis to estimate the prevalence of SRBD among people with dementia. METHODS: Comprehensive searches were conducted in Embase, Ovid-MEDLINE, PubMed, PsycINFO, Scopus, Web of Science, and CINAHL. The generalized linear mixed model (GLMM) was used for the pooled prevalence analysis and heterogeneity using I2 test and Cochran's Q-statistic in R-software. Study quality was assessed by Hoy's risk of bias assessment tool. Overall, 20 studies from 1282 studies were included with 1461 participants. RESULTS: The pooled prevalence of SRBD among dementia was 59% (95%CI: 44%-73%) with 55% (95%CI: 34%-74%) for obstructive sleep apnea (OSA), 49% (95%CI: 25%-73%) for unspecified SRBD, and 11% (95%CI: 5%-21%) for central sleep apnea (CSA). Regarding dementia subtypes, the prevalence of SRBD was 89% (95%CI: 61%-97%) for Alzheimer's dementia, 56% (95%CI: 48%-63%) for Parkinson's and Idiopathic Parkinson's dementia, and 16% (95%CI: 8%-30%) for Huntington's dementia. Significant moderator variables were male, body mass index, larger waist and hip circumference, waist-hip ratio, and comorbidities including hypertension, dyslipidemia, renal disease, diabetes, heart disease, and stroke. CONCLUSIONS: There is considerable high prevalence of SRBD among dementia people, with OSA and unspecified SRBD being fivefold higher than CSA. Regarding dementia subtypes, Parkinson's and Idiopathic Parkinson's, and Alzheimer's dementia had four to sixfold increased risk of presenting with SRBD than Huntington's dementia. Therefore, assessment and management of SRBD in Alzheimer's, and Parkinson's and Idiopathic Parkinson's dementia deserves more attention in future research.

Comparative effectiveness of psychotherapies in adults with posttraumatic stress disorder: a network meta-analysis of randomised controlled trials.

BACKGROUND: Evidence on the long-term comparative effectiveness of posttraumatic stress disorder (PTSD) psychotherapies in adults remains unknown. Therefore, we performed an extensive network meta-analysis of randomised controlled trials (RCTs) to determine the comparative effectiveness of psychotherapies for people diagnosed with PTSD. METHODS: A comprehensive search was conducted in Cochrane library, Embase, Medline-OVID, PubMed, Scopus, and Psych-Info until March 2021. Studies on the effectiveness of cognitive processing therapy (CPT), cognitive therapy (CT), eye movement desensitisation reprocessing (EMDR), narrative exposure therapy (NET), prolonged exposure (PE), cognitive behavioural therapy (CBT), present-centred therapy (PCT), brief eclectic psychotherapies (BEP), psychodynamic therapy (PDT) or combination therapies compared to no treatment (NT) or treatment as usual (TAU) in adults with PTSD were included. Frequentist and Bayesian approaches were used for analysis in R-software. RESULTS: We included 98 RCTs with 5567 participants from 18 897 studies. CPT, EMDR, CT, NET, PE, CBT, and PCT were significant to reduce PTSD symptoms (SMD range: -1.53 to -0.75; Certainty: very low to high) at immediate post-treatment and ranked accordingly. Longitudinal analysis found EMDR (1.02) and CPT (0.85) as the significant therapies with large effect size in short-term and long-term follow-up, respectively. NET and CPT showed higher proportion of loss of PTSD diagnosis (RR range: 5.51-3.45) while there were no significant psychotherapies for retention rate compared to NT. CONCLUSIONS: Our findings provide evidence for improving current guidelines and informing clinical decision-making for PTSD management. However, the best PTSD treatment plan should be tailored to patients' needs, characteristics, and clinician expertise. REGISTRATION: PROSPERO CRD42020162143.

Comparison of the Associations between Self-Reported Sleep Quality and Sleep Duration Concerning the Risk of Depression: A Nationwide Population-Based Study in Indonesia.

There is substantial evidence that a lack of sleep quality and duration can increase the risk of depression in adults. Still, few studies have compared sleep quality and duration to the risk of depression in Indonesia. Therefore, this study aimed to compare the prevalence and risk of depression associated with both sleep quality and duration and identified those factors associated with sleep quality with sleep duration. This study was a cross-sectional study, and the data were obtained from the 2014 Indonesian Family Life Survey, with a total sample comprised of 19,675 respondents aged older than 15 years old. A self-reported questionnaire was used to assess sleep quality and duration. Depression was assessed using the Center for Epidemiologic Studies Depression (CESD-10) questionnaire. Logistic regression was used to examine the risk of depression, and multinomial logistic regression was used to examine the risk of poor sleep quality with consideration to sleep duration. The prevalence of depression was the highest in the poor sleep quality and long sleep duration groups (48.5%). After all variables associated with depression were adjusted, poor sleep quality was identified as a factor leading to a higher risk of depression (OR = 4.2; 95% CI: 3.7-4.6; p < 0.001) than long sleep duration (OR = 1.4; 95% CI: 1.2-1.6; p < 0.001). Furthermore, the interaction between poor sleep quality and long sleep duration gave the highest risk of depression (OR = 4.4; 95% CI: 3.6-5.3); p < 0.001). Multinomial logistic regression revealed that the factors leading to a significant increase in the risk of poor sleep quality, with consideration to sleep duration, in the population were age, gender, marital status, education, wealth index, physical activity, chronic illness, season, and urban area (p < 0.05). Sleep quality was found to be associated with a higher risk of depression than sleep duration. The findings of this study may be beneficial to healthcare professionals who develop health promotion strategies for reducing the incidence of depression in communities.

Prevalence of sleep disorders among first responders for medical emergencies: A meta-analysis.

Background: Shift work and irregular work schedules among first responders have been associated with physical and psychological problems such as sleep disorders. We conducted the first meta-analysis to explore and estimate the prevalence of sleep disorders among first responders for medical emergencies. Methods: We searched four databases: Web of Science, Psych Info, CINAHL, and PubMed. The Generalized Linear Mixed model (GLMM) was used to estimate the prevalence estimates of sleep disorders in R software and the DerSimonian-Lard random-effects model in Comprehensive Meta-Analysis was used to explore associated comorbidities for OSA and insomnia, presented as odds ratios (ORs) and confidence intervals (CIs). The Cochran's Q, τ2, and the statistics were used to assess heterogeneity and the moderator analysis was conducted to identify moderator variables. Results: Twenty-eight studies with 100 080 first responders were included from the total of 1119 studies retrieved from the databases. The prevalence rates for sleep disorders were 31% (95% CI = 15%-53%) for shift work disorder (SWD), 30% (95% CI = 18%-46%) for obstructive sleep apnea (OSA), 28% (95% CI = 19%-39%) for insomnia, 28% (95% CI = 24%-33%) for excessive daytime sleepiness (EDS), 2% (95% CI = 1%-4%) for restless leg syndrome, and 1% (95% CI = 0%-5%) for narcolepsy. Anxiety (OR = 2.46; 95% CI = 1.99%-3.03%), cardiovascular disease (CVD) (OR = 2.03; 95% CI = 1.43-2.88), diabetes mellitus (DM) (OR = 1.93; 95% CI = 1.41-2.65), depression (OR = 1.89; 95% CI = 1.01-3.56), gastroesophageal reflux disease (GERD) (OR = 1.83; 95% CI = 150-2.22), and post-traumatic stress disorder (PTSD) (OR = 1.78; 95% CI = 1.33-2.39) were associated with OSA. Depression (OR = 9.74; 95% CI = 4.67-20.3), anxiety (OR = 9.22; 95% CI = 3.81-22.3), and PTSD (OR = 7.13; 95% CI = 6.27-8.10) were associated with insomnia. Age, gender, first responders, continent, study quality, study design, and assessment tool were significant moderator variables for OSA, insomnia, and EDS. Conclusions: This meta-analysis found a substantially high prevalence of sleep disorders including SWD, OSA, insomnia, and EDS among first responders for medical emergencies. Early assessment and management of sleep disorders among first responders is necessary to promote good, quality sleep to help prevent anxiety, depression, CVD, DM, GERD, and PTSD.

Sex Differences between Urinary Phthalate Metabolites and Metabolic Syndrome in Adults: A Cross-Sectional Taiwan Biobank Study.

BACKGROUND: Phthalates are widely used in consumer products, food packaging, and personal care products, so exposure is widespread. Several studies have investigated the association of phthalate exposure with obesity, insulin resistance, and hypertension. However, little is known about the associations of phthalate exposure with sex, age, and menopausal status in metabolic syndrome (MetS). The purpose of this study was to investigate the association between 11 urinary phthalate metabolite concentrations and metabolic syndrome in adults. METHODS: We conducted a cross-sectional analysis of 1337 adults aged 30-70 years from the Taiwan Biobank 2016-2020. Prevalence odds ratios (POR) and 95% confidence intervals (CIs) were calculated using logistic regression and stratified by sex, age, and menopausal status. RESULTS: Participants with MetS comprised 16.38%. Higher concentrations of MEP metabolites were associated with more than two- to three-fold increased odds of MetS in males and males ≥ 50 years (adj. POR Q3 vs. Q1 = 2.13, 95% CI: 1.01, 4.50; p = 0.047 and adj. POR Q2 vs. Q1 = 3.11, 95% CI: 0.13, 8.63; p = 0.029). When assessed by menopausal status, postmenopausal females with higher ∑DEHP concentrations had more than nine-fold higher odds of MetS compared with postmenopausal females with the lowest ∑DEHP concentrations (adj. POR Q3 vs. Q1 = 9.58, 95% CI: 1.18, 77.75; p = 0.034). CONCLUSIONS: The findings suggest differential associations between certain phthalate metabolites and MetS by sex, age, and menopausal status.

An Improved Stress-Scale Specifically Designed to Measure Stress of Women with Newly Diagnosed Breast Cancer.

Most breast cancer patients are middle-aged women actively involved in establishing a family, developing a career, or raising children. With the exception of the Newly Diagnosed Breast Cancer Stress Scale (NDBCSS), few stress scales have been designed for women with breast cancer. This study checked the dimensionality of the NDBCSS by confirmatory factor analysis (CFA) and the results showed a poor fit, indicating an urgent need for improvement. Exploratory factor analysis (EFA) using the varimax rotation method was performed to improve the model, the revised NDBCSS (NDBCSS-R), which showed a good Kaiser-Meyer-Olkin value, Bartlett's test of sphericity, and internal consistency reliability. The NDBCSS-R showed improved indices compared with NDBCSS, including: chi-square fit statistics/degree of freedom (CMIN/DF), goodness-of-fit index (GFI), adjusted goodness of fit index (AGFI), normed fix index (NFI), relative fit index (RFI), incremental fix index (IFI), Tucker-Lewis index (TLI), comparative fix index (CFI), root mean square error of approximation (RMSEA), root mean square residual (RMR), parsimonious goodness-fit-index (PGFI), and parsimonious normed fit index (PNFI). In conclusion, the improved NDBCSS-R can provide health professionals with an early understanding of the stress levels of women with breast cancer so that they can provide immediate medical intervention to prevent vicious cycles in a timely manner.

[Workplace Violence Against Nurses in Northern Taiwan: A Cross-Sectional Study].

BACKGROUND: Nurses comprise a group in the healthcare team that is exposed to the highest levels of workplace violence. This not only causes negative emotions in nurses and adversely impacts the institution and the body and spirit of the nurses but also affects the quality of nursing care. PURPOSE: The aim of this study was to determine the prevalence of physical and psychological workplace violence experienced by the nursing staff and to identify the perpetrators of violence, the reactions of the victims, and the policies developed by employers to prevent violence. METHODS: This cross-sectional study was conducted using a stratified sampling method across different levels of healthcare institutions on the nursing personnel registered with the Taipei Nurses Association. The number of subjects was allocated according to hospital level. A total of 2,931 subjects were recruited, of whom 2,627 participated in this study. RESULTS: Over two-thirds (70.6% ) of participants had experienced workplace violence, of whom 31.0% had experienced physical violence and 66.0% had experienced psychological violence. A multiple logistic regression analysis showed that nurses who were married, who had less than one year of work experience, or were over 50 years of age were at lower risk of physical and psychological violence. Those who had a university education or higher faced a higher risk of psychological violence. The most common perpetrators were identified as patients. The aftermath reactions from the victims were varied, with the most prevalent being "telling the perpetrator to stop the violence", "telling friends or family," and "reporting the incident to a senior staff member". The perpetrators were mostly dealt with using a verbal warning, while the second-most common strategy was taking no action. Only 2.3% ‡6.8% of the victims notified the authorities about the violence because of the following primary reasons: "useless," "not important," and "fear of negative consequences." The major strategies that were adopted by employers to prevent violence included "security measures," "improvement of surroundings," and "training." CONCLUSIONS: Prevention of violence must be improved comprehensively using the strategies of physical facilities, management, education, and policies.

[The Role and Function of Informatics Nurses in Information Technology Decision-Making].

The medical environment has changed greatly with the coming of the information age, and, increasingly, the operating procedures for medical services have been altered in keeping with the trend toward mobile, paperless services. Informatization has the potential to improve the working efficiency of medical personnel, enhance patient care safety, and give medical organizations a positive image. Informatics nurses play an important role in the decision-making processes that accompany informatization. As one of the decision-making links in the information technology lifecycle, this role affects the success of the development and operation of information systems. The present paper examines the functions and professional knowledge that informatics nurses must possess during the technology lifecycle, the four stages of which include: planning, analysis, design/development/revision, and implementation/assessment/support/maintenance. The present paper further examines the decision-making shortcomings and errors that an informatics nurses may make during the decision-making process. We hope that this paper will serve as an effective and useful reference for informatics nurses during the informatization decision-making process.

The use of information technology to enhance patient safety and nursing efficiency.

BACKGROUND: Issues in patient safety and nursing efficiency have long been of concern. Advancing the role of nursing informatics is seen as the best way to address this. OBJECTIVES: The aim of this study was to determine if the use, outcomes and satisfaction with a nursing information system (NIS) improved patient safety and the quality of nursing care in a hospital in Taiwan. METHOD: This study adopts a quasi-experimental design. Nurses and patients were surveyed by questionnaire and data retrieval before and after the implementation of NIS in terms of blood drawing, nursing process, drug administration, bar code scanning, shift handover, and information and communication integration. RESULTS: Physiologic values were easier to read and interpret; it took less time to complete electronic records (3.7 vs. 9.1 min); the number of errors in drug administration was reduced (0.08% vs. 0.39%); bar codes reduced the number of errors in blood drawing (0 vs. 10) and transportation of specimens (0 vs. 0.42%); satisfaction with electronic shift handover increased significantly; there was a reduction in nursing turnover (14.9% vs. 16%); patient satisfaction increased significantly (3.46 vs. 3.34). CONCLUSIONS: Introduction of NIS improved patient safety and nursing efficiency and increased nurse and patient satisfaction. Medical organizations must continually improve the nursing information system if they are to provide patients with high quality service in a competitive environment.