Alpha psychiatry最新文献

Objective: This study aims to examine the impact of spousal support on postpartum depression in women with different attachment styles and assessing if attachment style influences this effect.

Methods: From March to May 2022, 96 couples with late-stage pregnant women were randomly selected from tertiary maternity hospitals in Shandong and Guangdong provinces for a prepartum survey. Psychological assessments were conducted using the Adult Attachment Scale, Dyadic Coping Inventory, and the Patient Health Questionnaire-9 (PHQ-9) Depression Scale. To examine the relationship between each variable and postpartum depression, univariate and multiple logistic regression analyses were employed. Additionally, interaction analysis was used to analyze the interplay between different attachment styles and how spousal support influences women's postpartum depression.

Results: The findings revealed that even after accounting for confounding variables, prepartum spousal support was an independent predictor of postpartum depression (adjusted odds ratio (OR) = 0.82, 95% CI: 0.69-0.96, P = .015). Women with a secure attachment style showed a significantly lower incidence of postpartum depression compared to those with insecure attachment styles (24.2% vs. 46%, P = .037). In the secure attachment group, spousal support had a protective effect against postpartum depression (adjusted OR = 0.57, 95% CI: 0.36-0.91, P = .018), and attachment style emerged as a potential interactive factor influencing the impact of spousal support on postpartum depression (P for interaction = .029).

Conclusion: The provision of spousal support, especially to individuals with secure attachment styles, plays a preventive role in postpartum depression. This underscores the importance of considering attachment styles in interventions targeting postpartum depression prevention.

Objective: This study aimed to elucidate the risk factors associated with alcohol use disorders (AUDs) among inpatients with schizophrenia at a specialized mental hospital in Baoding city, China.

Methods: This cross-sectional survey comprised 301 comorbid patients. Three binary logistic regression models were used to investigate the factors linked to AUDs in patients with schizophrenia. Propensity score matching analysis was conducted to validate inconsistent variables identified by the regression models.

Results: Significant differences were observed between the comorbid and non-comorbid groups concerning sex (P < .001), disposition (P = .049), smoking habits (P < .001), place of residence (P = .010), family relationships (P = .002), family history of mental disorders (P = .008), history of alcoholism (P = .003), onset latency (P = .005), impulsivity (P < .001), suicide or self-injury history (P < .001), and obvious aggressive behavior (P < .001) in univariate analyses. The area under the curve values for the three regression models were 0.83 (P < .001), 0.80 (P < .001), and 0.81 (P < .001), respectively. Binary logistic regression and propensity score matching analyses indicated that introverted disposition, smoking, acute onset, impulsivity, and suicide or self-injury history were independent risk factors associated with AUDs in inpatients with schizophrenia with an odds ratio of > 1.

Conclusion: Introverted disposition, smoking, acute onset, impulsivity, and suicide or self-injury history were independently associated with the AUDs in inpatients with schizophrenia. Future studies should prioritize longitudinal studies to discern the evolving dynamics of potential confounding risk factors.

Objective: This study pursued a meta-analysis to evaluate the predictive accuracy of machine learning (ML) models in determining disorders of consciousness (DOC) among patients with traumatic brain injury (TBI).

Methods: A comprehensive literature search was conducted to identify ML applications in the establishment of a predictive model of DOC after TBI as of August 6, 2023. Two independent reviewers assessed publication eligibility based on predefined criteria. The predictive accuracy was measured using areas under the receiver operating characteristic curves (AUCs). Subsequently, a random-effects model was employed to estimate the overall effect size, and statistical heterogeneity was determined based on I² statistic. Additionally, funnel plot asymmetry was employed to examine publication bias. Finally, subgroup analyses were performed based on age, ML type, and relevant clinical outcomes.

Results: Final analyses incorporated a total of 46 studies. Both the overall and subgroup analyses exhibited considerable statistical heterogeneity. Machine learning predictions for DOC in TBI yielded an overall pooled AUC of 0.83 (95% CI: 0.82-0.84). Subgroup analysis based on age revealed that the ML model in pediatric patients yielded an overall combined AUC of 0.88 (95% CI: 0.80-0.95); among the model subgroups, logistic regression was the most frequently employed, with an overall pooled AUC of 0.85 (95% CI: 0.83-0.87). In the clinical outcome subgroup analysis, the overall pooled AUC for distinguishing between consciousness recovery and consciousness disorders was 0.84 (95% CI: 0.82-0.85).

Conclusion: The findings of this meta-analysis demonstrated outstanding accuracy of ML models in predicting DOC among patients with brain injuries, which presented substantial research value and potential of ML application in this domain.

Objective: To study the clinical effect of group cognitive behavioral therapy to one-on-one treatment on patients with early-onset schizophrenia.

Methods: Totally,133 patients with early-onset schizophrenia admitted to the Department of Psychiatry of our hospital from September 2020 to September 2023 were selected and divided into a control group and an observation group according to whether group behavioral cognitive therapy was performed. The general demographic data of the patients were collected, and the propensity score matching method was used to balance the baseline data of the 2 groups. The Positive and negative syndrome scale, Personal and Social Performance Scale, severity of illness (SI), and efficacy index (EI) were compared between the 2 groups after matching.

Results: After matching, 72 patients were included in our study. Compared to the control group, observation group PANSS score were decreased including after intervention (P > .05). Both groups showed a decrease between before and after treatments. Positive and Negative Syndrome Scale reduction rate after treatment and total response rate were increased in the observation group (P <.001). Personal and Social Performance Scale of the Clinical Global Impression (CGI) scores were higher than those of the control group. In the CGI scores, there is a significant difference that SI scores were lower in the observation group (P = .002), while EI scores were higher (P <.001).

Conclusion: Group cognitive behavioral therapy is beneficial to the improvement of mental symptoms and disease severity, social function, and curative effect, which is advocated and popularized.

Objective: This study aimed to explore the application effect of repetitive transcranial magnetic stimulation (rTMS) combined with tiapride hydrochloride tablets in children with attention deficit hyperactivity disorder (ADHD).

Methods: The medical records of 197 children with ADHD in our hospital from January 2022 to January 2023 were retrospectively analysed. Seven children who did not meet the inclusion criteria were excluded, and 190 children were finally included in this retrospective study. Based on the different clinical therapeutic methods, these children were divided into tiapride (n = 64), rTMS (n = 64), and combination (n = 62) groups. The clinical effects of different therapeutic schemes were compared. The clinical effectiveness and the scores of Swanson, Nolan, and Pelham Rating Scale Version IV (SNAP-IV), Conners Parent Symptom Questionnaire (PSQ), and Weiss Functional Impairment Rating Scale-Parent Report (WFIRS-P) were compared among the 3 groups.

Results: There was no significant difference in gender, age, course of disease, weight, and WISC-IV score among the combination, tiapride, and rTMS groups (all P > .05). The effective rate of treatment in the combination group (93.55%) was significantly higher than that in the tiapride group (78.13%) and the rTMS group (81.25%). There was a significant difference in the comparison of the combination group with the tiapride group (P = .013) and the rTMS group (P = .038). Before treatment, no significant difference existed in the scores of attention deficit symptoms and hyperactivity disorder symptoms among the 3 groups (all P > .05). After 3 months of treatment, the difference score of the combination group before and after treatment was significantly higher than that of other 2 groups (all P < .001). Before treatment, no significant difference was found in the scores of conduct problems, learning problems, psychosomatic disorders, impulsive hyperactivity, anxiety and hyperactivity index among the 3 groups (all P > .05). After treatment, the combination group had significantly higher difference score before and after treatment than other 2 groups (all P < .001). There was no significant difference in WFIRS-P scores among the 3 groups before treatment (all P > .05). After treatment, the difference score in the combination group before and after treatment was significantly higher compared with other 2 groups (all P < .001).

Conclusion: Transcranial magnetic stimulation combined with tiapride hydrochloride tablets had a positive effect on improving the condition of children with ADHD, with certain clinical promotion value.

Objective: We aimed to investigate the association of trait emotional intelligence (TEI), anxiety, depression, and quality of life (QoL) in lung cancer individuals with brain metastases receiving radiotherapy.

Methods: A total of 289 individuals with brain metastases from lung cancer after radiotherapy participated. Data were collected from October 2018 to December 2022. Data were collected on variables such as patient demographics, medical characteristics, TEI, anxiety, depression, and QoL. Pearson correlation analysis and structural equation modeling were used to analyze the data.

Results: Correlation coefficients between TEI and anxiety, depression, and QoL scores were -0.451 (P = .007), -0.580 (P = .002), and 0.391 (P = .009). The correlation coefficient for depression and QoL was -0.433 (P = .008). Anxiety and depression mediate the positive correlation between trait EI and QoL.

Conclusion: Individuals with high idiosyncrasies of emotional intelligence are able to more effectively regulate negative emotions associated with cancer symptoms and treatment, and thus better perceive QoL. Trait EI training can reduce anxiety and depression symptoms and further improve the QoL of lung cancer individuals.

Objective: Our goal is to examine the correlation between gut microbiota and the cooccurrence of schizophrenia and type 2 diabetes.

Methods: We conducted a study on the intestinal microbiota of 4 distinct groups: simple schizophrenia group (SC), schizophrenia with type 2 diabetes group (TS), type 2 diabetes group (T2DM), and normal population control group (HC), comprising a total of 35 subjects.

Results: The bacteria phyla Firmicutes, Bacteroidetes, Proteobacteria, Actinobacteria, and Verrucobacteria were consistently present across all 4 groups. Significantly higher intestinal microbiota richness was observed in the T2DM compared to the other group, and the intestinal microbiota richness in TS significantly lower than that of the SC.

Conclusion: Our study suggests that the presence of type 2 diabetes in individuals with schizophrenia may affect the composition of their gut microbiota. We hypothesize that the concurrent existence of both diseases could potentially lead to alterations in the structure of gut microbiota, potentially influencing treatment effectiveness and outcomes.

Objective: This study aimed to evaluate the effectiveness of Qi Gong fitness in alleviating stress, anxiety, and depression among underprivileged working youth with a follow-up study.

Methods: Eighty subjects were randomly assigned to normal groups (NG) and treatment groups (TG), with 40 participants in each group. The Perceived Stress Scale (PSS), Generalized Anxiety Disorder 7 (GAD-7), and 24-Item Hamilton Rating Scale for Depression (HAMD-24) were used to evaluate the effect of Qi Gong fitness on alleviating stress, anxiety, and depression symptoms in underprivileged working youth.

Results: There was no significant difference in demographic outcome indicators between NG and TG. The main analytic results showed significant differences (P < .05) in the intra- and inter-group comparisons of NG and TG in stress, anxiety, and depression before and after intervention. When compared with prior intervention, NG and TG after intervention showed more favorable scores in PSS, GAD-7, and HAMD-24, among which PSS (NG: 51.61 ± 4.32 vs. 29.80 ± 3.08; TG: 55.21 ± 5.41 vs. 15.85 ± 2.25; P < .01), GAD-7 (NG: 10.83 ± 2.45 vs. 9.85 ± 2.52; TG: 12.23 ± 1.90 vs. 7.84 ± 1.57; P < .01), and HAMD-24 (NG: 10.83 ± 2.45 vs. 9.85 ± 2.52; TG: 25.63 ± 3.94 vs. 11.40 ± 3.82; P < .01); These results indicate that NG and TG have significant effects on alleviating occupational stress, anxiety, and depression in young underprivileged people.

Conclusion: The study indicates that Qi Gong fitness had a positive effect on reducing and alleviating stress, anxiety, and depression among young underprivileged professionals. This highlights the potential benefits of incorporating Qi Gong fitness into treatment plans.

Objective: The aim of the present study is to investigate the change in emotional/behavioral problems of children with autism spectrum disorder (ASD) and the perceived social support of parents during the coronavirus disease 2019 (COVID-19) pandemic.

Methods: A total of 51 children with ASD aged between 6 and 18 years took part in the study. The Aberrant Behavior Checklist (ABC), the Strengths and Difficulties Questionnaire (SDQ), and the Multidimensional Scale of Perceived Social Support (MSPSS) were used to evaluate ASD symptoms, emotional/behavioral problems, and perceived social support, respectively. The cases were assessed before and 6 months after the pandemic.

Results: Our findings indicated that after the onset of the pandemic hyperactivity scores of children with ASD increased, whereas perceived social support of their parents decreased, compared to their pre-pandemic levels (P-value < .05). The increase in hyperactivity and irritability levels among children were positively associated with the presence of a chronic illness in the family and medication discontinuation (P-value < .05).

Conclusion: Quarantine in the COVID-19 pandemic may cause or worsen behavioral problems among children with ASD possibly due to problems related to poor medication adherence and lowered perceived social support among their parents. Clinicians working with children with special needs may be pro-active to assess and manage emotional/behavioral problems among this special population particularly during difficult times such as pandemic.

Objective: To explore the association between malnutrition and risk of depression in the elderly.

Methods: Relevant studies were searched in PubMed, Web of Science, the Cochrane Library, Scopus, and Embase from the establishment of the database to August 17, 2023. Two researchers independently screened the literature, extracted data, and evaluated the risk of bias in the included studies. Stata16.0 software was used for meta-analysis.

Results: A total of 8 observational studies were identified with 11 112 participants, of which 2771 elderly patients had depression. The meta-pooled results showed a significant correlation between nutritional status and depression risk (odds ratio (OR) = 2.03, 95% CI = (1.47, 2.81), P < 0.001). Subgroup analysis found that the malnutrition scores of different study types and the diagnostic methods of depression and malnutrition were correlated with the risk of depression.

Conclusion: Malnutrition was associated with depression risk in the elderly. Further large-scale multicenter studies should be conducted to test and verify the results.