Psychiatric Quarterly最新文献

The number of social media users has increased dramatically in recent years. Common correlates of social media use may be poor mental and sleep health which are pressing issues among emerging adults and Hispanic groups. This study investigated the relationships between five different forms of social media use and mental and sleep health in Hispanic university emerging adults. Hispanic university emerging adults (n = 358) completed a survey assessing sociodemographics, overall social media use frequency, nighttime in-bed social media use, social media addiction, social media self-control failure, emotional investment in social media, depression, anxiety, stress, and sleep quality. Findings demonstrated that social media addiction and social media self-control failure were positively associated with stress and poor sleep quality. Emotional investment in social media was positively associated with depression. Findings may suggest that Hispanic university emerging adults may use social media emotionally and problematically to cope with negative affect and poor sleep quality, or that negative affect and poor sleep quality stem from using social media emotionally and problematically. The clinical implications of these results are discussed. Prospective studies are warranted to assess temporality.

Despite high rates of psychological symptoms, many medical students often avoid psychological help. Determining the mental status of medical students at an early stage is very important for developing necessary interventions. The aim of this study was to evaluate the barriers to seeking psychological help among first-year medical students. This cross-sectional study was conducted between January 2-20, 2023. Data were collected using an anonymous online questionnaire comprising students' self-reported psychological problems and treatment status, help-seeking barriers, and a validated mental health tool (Patient Health Survey 4). The response rate was 58.8% (n = 250). Of them, 34.4% had anxiety symptoms and 25.2% had depressive symptoms. The prevalence of self-reported psychological problems and serious psychological problems were 61.2% and 10.4%, respectively. Only 7.6% of students reported receiving psychological treatment. It was found that 5.6% of the students used psychiatric drugs (2% officially prescribed and 3.6% not officially prescribed). The most common barriers to help-seeking were not were not serious problems, lack of time, difficulty explaining psychological problems, fear of being recorded, and fear of stigmatization. The results indicated that a significant number of students had psychological problems, and some did not seek psychological help.

The ability to regulate emotions is vital to successful social interactions. This study explores whether visual attention bias is associated with emotion dysregulation (ED) in early childhood. Parental reports of child ED (Child Behaviour Checklist (CBCL) and Temper Tantrum Scale) were examined in relation to child visual attention bias whilst viewing emotional faces. Results indicated that the level of eye gaze fixation towards emotional images and faces was associated with ED when social function (measured with the Social Responsiveness Scale), gender, age, and attention problems (measured from the CBCL subscale), were adjusted. The modifying effect on visual attention bias was evaluated using interaction analysis in the generalized linear model. The level of visual attention bias, indicated by the proportion of eye gaze fixation time on areas of interest (AOIs) in images displaying unpleasant emotions (such as anger), was inversely associated with the level of externalising problem behaviours (p = .014). Additionally, the association of eye gaze fixation time for AOIs displaying negative emotional cues with the level of externalising problem behaviours varied by age (p = .04), with younger children (aged < 70 months) demonstrating a stronger association than older children (aged $\ge$ 70 months). Findings suggest that young children with greater ED symptoms look less at unpleasant emotional cues. However, this relationship is attenuated as children become older. Further research to identify objective biomarkers that incorporate eye-tracking tasks may support prediction of ED-related mental health issues in the early years.

Studies on problematic online activities commonly focus on one type of online activity, such as social media. However, individuals often use their Smartphones for more than one online activity. This study examined four types of online activities (social networking, gaming, information acquisition, and short-form video viewing). Based on a combinatory assessment of problematic smartphone use and hours spent online, two groups were created from a larger sample (N = 642): a problematic smartphone user group (PSU; N = 230; F = 72%; Age = 24.99 ± 6.60) and a non-problematic smart phone user group (NPSU; N = 87; F = 62%; Age = 30.49 ± 10.22). As compared to the NPSU group, the PSU group engaged in more social networking, gaming, information acquisition, and short-form video seeing. The PSU group also scored higher on psychological distress, sleep disturbance, fear of missing out, metacognitions about Smartphone use (MSU), desire thinking (DT), and lower on satisfaction with life and cognitive reappraisal. Regression analyses were employed to probe correlates of each online activity among the PSU and NPSU groups. The findings are discussed in light of the metacognitive model of addictive behaviors and future directions are provided concerning the challenges of distinguishing individuals for problematic Internet-related behaviors.

On February 6, 2023, two major earthquakes with magnitudes of 7,7 and 7,6 struck the Kahramanmaraş region in Turkey. Over 50.000 people lost their lives and more than half a million buildings were damaged as a result of these earthquakes. Earthquake survivors may develop post-traumatic stress disorder and sleep hygiene problems. This study aims to evaluate the correlation between post-traumatic stress and sleep hygiene among surviving adults six months after the February 6th Kahramanmaraş Earthquakes in Turkey. This study was conducted with 1004 earthquake survivors in 11 provinces influenced by the February 6th Kahramanmaraş earthquakes in Turkey. The data was collected with Personal Information Form, Impact of Events Scale-Revised, and the Sleep Hygiene Index. It has been determined that 54.1% of earthquake survivors scored ≥ 33 on the Impact of Events Scale-Revised. The level of post-traumatic stress disorder was high and their sleep hygiene index level was above average among earthquake survivors. A strongly significant positive correlation was observed between the Impact of Events Scale-Revised and the Sleep Hygiene Index. It is recommended to plan and implement community-based psychological interventions to reduce post-traumatic stress disorder and improve sleep hygiene among survivors after earthquakes.

This study aimed to estimate the percentage of child RTCs utilizing seclusion and restraint (S/R) practices and examine predictors associated with increased likelihood of S/R use between 2010 and 2020. A secondary analysis of the National Mental Health Services Survey was conducted (n-range = 580-781). Facility-level client demographics and facility characteristics were examined using multi-level logistic regression. One-way ANOVA indicated that the percentage of child RTCs using S/R significantly decreased between 2010 and 2020 [F(4, 58074) = 75.62, p <.001]. A post-hoc Bonferroni test found that the percentage of facilities reporting the use of SR in 2010 was significantly higher than in 2014, 2016, 2018, and 2020 (all p <.001). Multi-level logistic regression analysis found that facility-level client demographics (percent male, white, and involuntarily committed) did not significantly predict facility use of SR in 2010, 2014, or 2016. However, facility-level characteristics of SED program (all p <.01), use of psychotropic medication (all p <.001), and facility size as measured by number of mental health beds (all p <.01) consistently predicted usage of SR in 2010 [F(11) = 68.38, p <.001], 2014 [F(12) = 74.25, p <.001], and 2016 [F(12) = 74.48, p <.001]. Facility ownership and accepting Medicare payments did not significantly predict facility usage of SR. Use of SR within child RTCs significantly declined between 2010 and 2020. Larger facilities, facilities with an SED program, and facilities that used psychotropic medications with clients were more likely to use SR practices between 2010 and 2016. More high-quality, publicly available data for monitoring S/R use in mental health services within the United States is needed.

Self-stigma is a major barrier to personal and clinical recovery in people with mental illness. Although psychosocial interventions have been developed to reduce self-stigma, the exploration of group CBT-based interventions for hospitalised patients are less represented. The purpose of this trial is to investigate the effectiveness of a group CBT-based intervention aiming to reduce self-stigma and improve recovery-related outcomes such as self-esteem, stigma resistance and sense of coherence, which comes down to saying, "I am what I am". A total of 104 patients admitted to the inpatient therapy were recruited to participate in a randomised controlled clinical trial, and 77 participants (46 in the intervention group and 31 in the control group) completed the trial. Constructs of interest were measured before and after the intervention. The results showed that the evaluated intervention was effective in improving sense of coherence and stigma resistance, compared to treatment as usual (TAU). The level of self-stigma significantly decreased in both the intervention and control groups, but no statistically significant difference was observed between the groups. The limitations of the study include: the lack of assessment of the sustainability of the effects of therapy (follow-up), the presence of intensive interventions of the ward's programme and patients pre-qualified for the ward based on admission criteria. The intervention "I am what I am," has proven to be effective, especially in increasing the level of personal resources needed to build clinical and personal recovery and to counteract the negative consequences of self-stigma.

In this study, our aim was to develop a valid and reliable scale to determine the social anxiety level of people regarding COVID-19. A total of 420 people participated in the research. Explanatory and confirmatory factor analyses were used to test the validity and reliability of the scale. As a result of the explanatory factor analysis, it was determined that the scale consisted of 22 items and four sub-dimensions. These sub-dimensions were named "negative thinking", "sociability", "fear" and "vaccination". In examination of the fit indices obtained from the confirmatory factor analysis results, it was seen that the four-factor scale structure was high and acceptable. Based on these results, we concluded that the COVID-19 social anxiety scale (CAS) was valid and reliable for examining the level of social anxiety of people during the pandemic periods.

To examine the risks of long-term de novo psychiatric disease in women with primary infertiltiy compared to age-matched referrent women. Retrospective, population-based cohort of 1,001 women with primary infertility and 1,001 age-matched (± 1 year) referent women aged 18-50. The "index date" was date of first clinical note for infertility and included visits fromJanuary 1, 1980 to December 31, 1999. Baseline characteristics were collected by chart review. Outcome data was evaluated through December 31, 2020. Primary outcomes were baseline prevalence and de novo rates of subsequent psychiatric disorders including depression, anxiety, bipolar disorder, substance abuse, suicidality, and somatization evaluated by Cox proportional hazards modeling. Among women with primary infertility and referent women, the median duration of follow-up was 23.7 years. The risk of de novo psychiatric disorders was not significantly different between groups. Additionally, the risk of de novo psychiatric disorders did not significantly differ between those with isolated male factor versus isolated female factor infertility. Among women with primary infertility, the cumulative incidence of de novo depression and anxiety was significantly higher among women diagnosed with primary infertility in the 1990s compared to the 1980s. Women with primary infertility, in a historical population-based cohort, do not have a significantly different long-term risk of de novo psychiatric diagnoses compared to age-matched referent women. Our findings support the notion that infertility diagnosis and treatment present an acute period of stress and for some psychologic distress, neither of which persist or increase the risk for development of future psychiatric disease.

Recent research has shown that people who gamble are more likely to have suicidal thoughts and attempts compared to the general population. Despite the advancements made, no study to date has predicted suicide risk factors in people who gamble using machine learning algorithms. Therefore, current study aimed to identify the most critical predictors of suicidal ideation and suicidal attempts among people who gamble using a machine learning approach. An online survey conducted a cross-sectional analysis of 741 people who gamble (mean age: 25.9 ± 5.56). To predict the risk of suicide attempts and ideation, we employed a comprehensive set of 40 biological, psychological, social, and socio-demographic variables. The predictive models were developed using Logistic Regression, Random Forest (RF), robust eXtreme Gradient Boosting (XGBoost), and ensemble machine learning algorithms. Data analysis was performed using R-Studio software. Random Forest emerged as the top-performing algorithm for predicting suicidal ideation, with an impressive AUC of 0.934, sensitivity of 0.7514, specificity of 0.9885, PPV of 0.9473, and NPV of 0.9347. Across all models, dissociation, depression, and anxiety symptoms consistently emerged as crucial predictors of suicidal ideation. However, for suicide attempt prediction, all models exhibited weaker performance. XGBoost showed the best performance in this regard, with an AUC of 0.663, sensitivity of 0.78, specificity of 0.8990, PPV of 0.34, NPV of 0.984, and accuracy of 0.8918. Depressive symptoms and rumination severity were highlighted as the most important predictors of suicide attempts according to this model. These findings have important implications for clinical practice and public health interventions. Machine learning could help detect individuals prone to suicidal ideation and suicide attempts among people who gamble, assisting in creating tailored prevention programs to address future suicide risks more effectively.