暂无摘要。

BACKGROUND: Mental health problems and suicide ideation are common in adolescents. Early detection of these issues could prevent the escalation of mental health-related symptoms in the long term. Moreover, characterizing different profiles of prevalent symptoms in conjunction with emotional regulation strategies could guide the design of specific interventions. The use of web-based screening (WBS) tools has been regarded as a suitable strategy to timely detect symptomatology while improving the appeal, cost, timeliness, and reach of detection in young populations. However, the evidence regarding the accuracy of these approaches is not fully conclusive.
OBJECTIVE: The study aims (1) to examine the capability of a WBS to identify adolescents with psychiatric symptoms and suicidality and (2) to characterize the mental health profiles of a large sample of adolescents using WBS.
METHODS: A total of 1599 Latin American Spanish-speaking adolescents (mean age 15.56, SD 1.34 years), consisting of 47.3% (n=753) female, 98.5% Chilean (n=1570), and 1.5% Venezuelan (n=24) participants, responded to a mental health WBS. A randomized subsample of participants also responded to the Mini International Neuropsychiatric Interview for Children and Adolescents (MINI-KID). McNemar χ2 and receiver-operating characteristic curves tested the detection accuracy of WBS contrasted with the MINI-KID. Latent profile analyses explored the symptomatic and emotional regulation profiles of participants.
RESULTS: Both measures showed an adequate level of agreement (area under the curve per symptom domain ranging from 0.70 to 0.89); however, WBS yielded a higher prevalence than MINI-KID for all psychiatric symptoms, except suicide ideation and depression. Latent profile analyses yielded 4 profiles-one of them presented elevated psychopathological symptoms, constituting 11% of the sample (n=175). Rumination (odds ratio [OR] 130.15, 95% CI 51.75-439.89; P<.001), entrapment (OR 96.35, 95% CI 29.21-317.79; P<.001), and defeat (OR 156.79, 95% CI 50.45-487.23; P<.001) contributed significantly to the prediction of latent profile memberships, while cognitive reappraisal did not contribute to the prediction of any latent profile memberships, and expressive suppression was only associated to profile-2 membership.
CONCLUSIONS: WBS is acceptable for the timely detection of adolescents at risk of mental health conditions. Findings from the symptomatic and emotional regulation profiles highlight the need for comprehensive assessments and differential interventions.

暂无摘要。

(1) Background: There is a global demand for more psychiatric nurses, with nursing students\' attitudes toward mental illness and working in mental health facilities playing a pivotal role in their career choices. This study aims to evaluate attitudes toward working in mental health facilities among undergraduate nursing students in Saudi Arabia, both before and after exposure to psychiatry courses, and examine their relationship with perceptions of mental illness. (2) Methods: A quantitative descriptive and correlational cross-sectional design was employed. Nursing students\' attitudes toward working in mental health facilities were assessed using the Attitude Toward Psychiatry 18 (ATP-18) questionnaire and the Beliefs Toward Mental Illness (BMI) scale. (3) Results: No significant relationship has been found between the frequency of negative views of both ATP-18 and BMI, and exposure to the psychiatry course. However, nurses who completed the psychiatry course held more positive views towards psychiatrists and found psychiatric patients less demanding, were less likely to view psychological disorders as dangerous, more confident in trusting mentally ill colleagues, and felt less embarrassed by the term \"psychological disorder\" compared to those who had not taken the course. (4) Conclusion: Based on our findings, it is evident that exposure to psychiatric courses and training enhances the potential of nursing students to contribute effectively to the psychiatric field. Therefore, integrating mental health and illness community services training into nursing education programs can play a pivotal role in raising awareness and attracting students who may hold negative attitudes towards individuals with mental illness.

OBJECTIVE: To assess the feasibility of universal screening of postpartum depression (PPD), using the Edinburgh Postpartum Depression Scale (EPDS) in the general population. To investigate the proportion of women identified as being at risk of PPD and with confirmed PPD or other mental disorders after a psychiatric consultation.
METHODS: A multicenter prospective cohort study in four French maternities conducted between 2020 and 2023. All women aged over 18 years, who delivered following a singleton pregnancy after 37 weeks of gestation were eligible for inclusion. The exclusion criteria were pre-existing psychiatric disorders such as depressive syndrome. The EPDS was completed at 8 weeks postpartum via an online self-administered questionnaire. If the response to the questionnaire suggested a mental disorder, a psychiatric consultation was proposed to the women concerned. The endpoints were the proportion of women completing the EPDS, the EPDS score, the proportion of women at risk of PPD, the proportion of psychiatric consultation, and the subsequent diagnosis.
RESULTS: The study included 923 women, of whom 55.0% (508/923) completed the EPDS. Among them, 28.1% (143/508) had an EPDS score of 10 or more, and 11.2% (57/508) received a psychiatric consultation. PPD was confirmed in 8.8% (5/57) of women. Other disorders detected were mood disorders, disorders specifically associated with stress, and anxiety/fear-related disorders, in 33.3%, 28.1%, and 14.0% of the women, respectively.
CONCLUSIONS: Screening with self-administered EPDS is feasible, with a good response rate, making it possible to suspect mental disorders, including PPD, and to offer psychological support when needed.

BACKGROUND: Nonmedical use of prescription drugs can cause overdose; this represents a serious public health crisis globally. In this digital era, social networking services serve as viable platforms for illegal acquisition of excessive amounts of medications, including prescription medications. In Japan, such illegal drug transactions have been conducted through popular flea market applications, social media, and auction websites, with most of the trades being over-the-counter (OTC) medications. Recently, an emerging unique black market, where individuals trade prescription medications-predominantly nervous system drugs-using a specific keyword (\"Okusuri Mogu Mogu\"), has emerged on X (formerly Twitter). Hence, these dynamic methods of illicit trading should routinely be monitored to encourage the appropriate use of medications.
OBJECTIVE: This study aimed to specify the characteristics of medications traded on X using the search term \"Okusuri Mogu Mogu\" and analyze individual behaviors associated with X posts, including the types of medications traded and hashtag usage.
METHODS: We conducted a cross-sectional study with publicly available posts on X between September 18 and October 1, 2022. Posts that included the term \"Okusuri Mogu Mogu\" during this period were scrutinized. Posts were categorized on the basis of their contents: buying, selling, self-administration, heads-up, and others. Among posts categorized as buying, selling, and self-administration, medication names were systematically enumerated and categorized using the Anatomical Therapeutic Chemical (ATC) classification. Additionally, hashtags in all the analyzed posts were counted and classified into 6 categories: medication name, mental disorder, self-harm, buying and selling, community formation, and others.
RESULTS: Out of 961 identified posts, 549 were included for analysis. Of these posts, 119 (21.7%) referenced self-administration, and 237 (43.2%; buying: n=67, 12.2%; selling: n=170, 31.0%) referenced transactions. Among these 237 posts, 1041 medication names were mentioned, exhibiting a >5-fold increase from the study in March 2021. Categorization based on the ATC classification predominantly revealed nervous system drugs, representing 82.1% (n=855) of the mentioned medications, consistent with the previous survey. Of note, the diversity of medications has expanded to include medications that have not been approved by the Japanese government. Interestingly, OTC medications were frequently mentioned in self-administration posts (odds ratio 23.6, 95% CI 6.93-80.15). Analysis of hashtags (n=866) revealed efforts to foster community connections among users.
CONCLUSIONS: This study highlighted the escalating complexity of trading of illegal prescription medication facilitated by X posts. Regulatory measures to enhance public awareness should be considered to prevent illegal transactions, which may ultimately lead to misuse or abuse such as overdose. Along with such pharmacovigilance measures, social approaches that could direct individuals to appropriate medical or psychiatric resources would also be beneficial as our hashtag analysis shed light on the formation of a cohesive or closed community among users.

UNASSIGNED: Mental, emotional, and behavioral disorders are chronic pediatric conditions, and their prevalence has been on the rise over recent decades. Affected children have long-term health sequelae and a decline in health-related quality of life. Due to the lack of a validated database for pharmacoepidemiological research on selected mental, emotional, and behavioral disorders, there is uncertainty in their reported prevalence in the literature.
UNASSIGNED: We aimed to evaluate the accuracy of coding related to pediatric mental, emotional, and behavioral disorders in a large integrated health care system\'s electronic health records (EHRs) and compare the coding quality before and after the implementation of the International Classification of Diseases, Tenth Revision, Clinical Modification (ICD-10-CM) coding as well as before and after the COVID-19 pandemic.
UNASSIGNED: Medical records of 1200 member children aged 2-17 years with at least 1 clinical visit before the COVID-19 pandemic (January 1, 2012, to December 31, 2014, the ICD-9-CM coding period; and January 1, 2017, to December 31, 2019, the ICD-10-CM coding period) and after the COVID-19 pandemic (January 1, 2021, to December 31, 2022) were selected with stratified random sampling from EHRs for chart review. Two trained research associates reviewed the EHRs for all potential cases of autism spectrum disorder (ASD), attention-deficit hyperactivity disorder (ADHD), major depression disorder (MDD), anxiety disorder (AD), and disruptive behavior disorders (DBD) in children during the study period. Children were considered cases only if there was a mention of any one of the conditions (yes for diagnosis) in the electronic chart during the corresponding time period. The validity of diagnosis codes was evaluated by directly comparing them with the gold standard of chart abstraction using sensitivity, specificity, positive predictive value, negative predictive value, the summary statistics of the F-score, and Youden J statistic. κ statistic for interrater reliability among the 2 abstractors was calculated.
UNASSIGNED: The overall agreement between the identification of mental, behavioral, and emotional conditions using diagnosis codes compared to medical record abstraction was strong and similar across the ICD-9-CM and ICD-10-CM coding periods as well as during the prepandemic and pandemic time periods. The performance of AD coding, while strong, was relatively lower compared to the other conditions. The weighted sensitivity, specificity, positive predictive value, and negative predictive value for each of the 5 conditions were as follows: 100%, 100%, 99.2%, and 100%, respectively, for ASD; 100%, 99.9%, 99.2%, and 100%, respectively, for ADHD; 100%, 100%, 100%, and 100%, respectively for DBD; 87.7%, 100%, 100%, and 99.2%, respectively, for AD; and 100%, 100%, 99.2%, and 100%, respectively, for MDD. The F-score and Youden J statistic ranged between 87.7% and 100%. The overall agreement between abstractors was almost perfect (κ=95%).
UNASSIGNED: Diagnostic codes are quite reliable for identifying selected childhood mental, behavioral, and emotional conditions. The findings remained similar during the pandemic and after the implementation of the ICD-10-CM coding in the EHR system.

BACKGROUND: Pharmacotherapy is one of the primary treatment modalities for depression. However, there is considerable variability in the individual response to antidepressant medications. Personalized medicine guided by pharmacogenomic testing may hold promise in addressing this issue.
METHODS: In this study, 665 depressive patients were randomly enrolled into two groups: the pharmacogenomic testing group (n = 333) and the control group (n = 332). In the testing group, participants underwent pharmacogenomic testing, and clinicians customized the treatment plan with the result, while the control group relied solely on clinicians\' experience. The primary outcomes were the proportion of remission and response, assessed with Hamilton Depression Rating Scale (HDRS). The secondary outcomes included changes in HDRS scores over time and frequency of adverse drug reactions by the participants.
RESULTS: At week 8, the pharmacogenomic testing group showed significantly higher remission rates (24.0 % v.s. 15.1 %; RR = 1.117; P = 0.007) and response rates (39.3 % v.s. 25.7 %; RR = 1.225; P < 0.001) compared to the control group. By week 12, the pharmacogenomic testing group continued to demonstrate significant advantages in remission (31.0 % v.s. 20.0 %; RR = 1.159; P = 0.003) and response (48.7 % v.s. 37.3 %; RR = 1.224; P = 0.006). Additionally, adverse drug reactions were less frequent in the pharmacogenomic testing group.
CONCLUSIONS: This study is not blind to clinicians and it\'s a single-center study.
CONCLUSIONS: Pharmacogenomic testing-guided drug therapy can provide greater assistance in the treatment of depression.

BACKGROUND: Major depressive disorder affects approximately 1 in 5 adults during their lifetime and is the leading cause of disability worldwide. Yet, a minority receive adequate treatment due to person-level (eg, geographical distance to providers) and systems-level (eg, shortage of trained providers) barriers. Digital tools could improve this treatment gap by reducing the time and frequency of therapy sessions needed for effective treatment through the provision of flexible, automated support.
OBJECTIVE: This study aimed to examine the feasibility, acceptability, and preliminary clinical effect of Mindset for Depression, a deployment-ready 8-week smartphone-based cognitive behavioral therapy (CBT) supported by brief teletherapy appointments with a therapist.
METHODS: This 8-week, single-arm open trial tested the Mindset for Depression app when combined with 8 brief (16-25 minutes) video conferencing visits with a licensed doctoral-level CBT therapist (n=28 participants). The app offers flexible, accessible psychoeducation, CBT skills practice, and support to patients as well as clinician guidance to promote sustained engagement, monitor safety, and tailor treatment to individual patient needs. To increase accessibility and thus generalizability, all study procedures were conducted remotely. Feasibility and acceptability were assessed via attrition, patient expectations and feedback, and treatment utilization. The primary clinical outcome measure was the clinician-rated Hamilton Depression Rating Scale, administered at pretreatment, midpoint, and posttreatment. Secondary measures of functional impairment and quality of life as well as maintenance of gains (3-month follow-up) were also collected.
RESULTS: Treatment credibility (week 4), expectancy (week 4), and satisfaction (week 8) were moderate to high, and attrition was low (n=2, 7%). Participants self-reported using the app or practicing (either on or off the app) the CBT skills taught in the app for a median of 50 (IQR 30-60; week 4) or 60 (IQR 30-90; week 8) minutes per week; participants accessed the app on an average 36.8 (SD 10.0) days and completed a median of 7 of 8 (IQR 6-8) steps by the week 8 assessment. The app was rated positively across domains of engagement, functionality, aesthetics, and information. Participants\' depression severity scores decreased from an average Hamilton Depression Rating Scale score indicating moderate depression (mean 19.1, SD 5.0) at baseline to a week 8 mean score indicating mild depression (mean 10.8, SD 6.1; d=1.47; P<.001). Improvement was also observed for functional impairment and quality of life. Gains were maintained at 3-month follow-up.
CONCLUSIONS: The results show that Mindset for Depression is a feasible and acceptable treatment option for individuals with major depressive disorder. This smartphone-led treatment holds promise to be an efficacious, scalable, and cost-effective treatment option. The next steps include testing Mindset for Depression in a fully powered randomized controlled trial and real-world clinical settings.
BACKGROUND: ClinicalTrials.gov NCT05386329; https://clinicaltrials.gov/study/NCT05386329?term=NCT05386329.

BACKGROUND: The aim of this study is to assess the prevalence rate of fibromyalgia (FM) and irritable bowel syndrome (IBS) among Al-Baath University students and find out whether studying medicine has an association with a higher prevalence rate.
METHODS: The participants of this observational cross-sectional study were students aged 18-30 years from Al-Baath University. A structured self-estimated electronic questionnaire developed by Google Forms was distributed using social media platforms from 15 February to 15 March, 2023. We used The American College of Rheumatology (ACR) 2016 and Fibromyalgia Rapid Screening Tool criteria to assess the prevalence rate of FM. We used The ROME IV criteria to asses IBS prevalence rate.
RESULTS: The final sample size was 800 individuals. The prevalence of IBS in the study population was 26.8%. Overall, IBS-Constipation was the most common subtype, and the prevalence rate was higher among medical students (14%) compared to other colleges (12.8%) (p = .002). The difference in IBS prevalence between males and females was (9.3% vs. 17.5%, p = .283), but this did not reach the statistical significance. The prevalence of FM according to The ACR in the study population was 3.6%. Females had higher prevalence rate than males (3.1% vs. 0.5%, p = .007). The prevalence of FM was also higher in other colleges compared to medicine (2.3% vs. 1.4%, p = .547), but this did not reach statistical significance.
CONCLUSIONS: We found an increased prevalence of IBS among medical students. The prevalence of FM did not show any relation to studying medicine. We recommend additional prospective studies to assess whether studying medicine could be a risk factor for these disorders or not.