Modeling perceived parental attitudes and mental well-being in Chinese young LGBTQ+ individuals: Investigation of weekly diary data using dynamic network analysis.

Existing literature has reported negative parental attitudes toward LGBTQ+ individuals associated with their LGBTQ+ identity concealment and mental well-being. However, limited research has explored the dynamic network changes using intensive, repeated weekly diary data. This study aimed to model the associations between perceived parental attitude, anxiety, depression, and LGBTQ+ individuals' identity concealment within dynamic network analysis (DNA); 103 LGBTQ+ youth participated in the study. Participants' perceived parental attitudes toward LGBTQ+ identity and LGBTQ+ identity concealment, depression (by the 9-item Patient Health Questionnaire), and anxiety (by the 7-item Generalized Anxiety Disorder Questionnaire) were measured. Each was assessed four times at 1-week intervals for four consecutive weeks. The graphical vector autoregression explored the DNA of the internal relationships among perceived parental attitudes, identity concealment, depression, and anxiety. Findings in the between-subjects network revealed that poor perceived parental attitudes toward sexual and gender minorities were positively associated with depression, anxiety, and identity concealment. The contemporaneous network showed that the "expression" (one's identity concealment) was the direct trigger of "suicide" (one's depressive symptom), indicating depression was initiated earlier and subsequently exacerbated a sequence of other psychiatric reactions. The temporal network indicated that only parents' "general attitude" reduced participants' concealment ("self-disclosure"), which simultaneously stimulated mental benefits.

Ecological Momentary Assessment and Machine Learning for Predicting Suicidal Ideation Among Sexual and Gender Minority Individuals.

Importance: Suicidality poses a serious global health concern, particularly in the sexual and gender minority population. While various studies have focused on investigating chronic stressors, the precise prediction effect of daily experiences on suicide ideation remains uncertain. Objective: To test the extent to which mood fluctuations and contextual stressful events experienced by sexual and gender minority individuals may predict later short- and long-term suicide ideation. Design, Setting, and Participants: This diagnostic study collected twice-daily data on mood states and stressful events from sexual and gender minority individuals over 25 days throughout 3 waves of the Chinese Lunar New Year (before, during, and after), and follow-up surveys assessing suicidal ideation were conducted 1, 3, and 8 months later. Online recruitment advertisements were used to recruit young adults throughout China. Eligible participants were self-identified as sexual and gender minority individuals aged 18 to 29 years. Those who were diagnosed with psychotic disorders (eg, schizophrenia spectrum or schizotypal disorder) or prevented from objective factors (ie, not having a phone or having an irregular sleep rhythm) were excluded. Data were collected from January to October 2022. Main Outcomes and Measures: To predict short-term (1 month) and longer-term (3 and 8 months) suicidal ideation, the study tested several approaches by using machine learning including chronic stress baseline data (baseline approach), dynamic patterns of mood states and stressful events (ecological momentary assessment [EMA] approach), and a combination of baseline data and dynamic patterns (EMA plus baseline approach). Results: A total of 103 sexual and gender minority individuals participated in the study (mean [SD] age, 24.2 [2.5] years; 72 [70%] female). Of these, 19 (18.4%; 95% CI, 10.9%-25.9%), 25 (24.8%; 95% CI, 16.4%-33.2%), 30 (29.4%; 95% CI, 20.6%-38.2%), and 32 (31.1%; 95% CI, 22.2%-40.0%) reported suicidal ideation at baseline, 1, 3, and 8 months follow-up, respectively. The EMA approach showed better performance than the baseline and baseline plus EMA approaches at 1-month follow-up (area under the receiver operating characteristic curve [AUC], 0.80; 95% CI, 0.78-0.81) and slightly better performance on the prediction of suicidal ideation at 3 and 8 months' follow-up. In addition, the best approach predicting suicidal ideation was obtained during Lunar New Year period at 1-month follow-up, which had a mean AUC of 0.77 (95% CI, 0.74-0.79) and better performance at 3 and 8 months' follow-up (AUC, 0.74; 95% CI, 0.72-0.76 and AUC, 0.72; 95% CI, 0.69-0.74, respectively). Conclusions and Relevance: The findings in this study emphasize the importance of contextual risk factors experienced by sexual and gender minority individuals at different stages. The use of machine learning may facilitate the identification of individuals who are at risk and aid in the development of personalized process-based early prevention programs to mitigate future suicide risk.

Process model of emotion regulation-based digital intervention for emotional problems.

Background: To address the lack of mental health practitioners in developing countries, the current study explored the feasibility of a newly developed self-guided digital intervention program TEA (training for emotional adaptation) in alleviating depressive and anxiety symptoms, as one of a few studies which adapted from theoretical models with effective intervention techniques. Methods: The first part of this study involved 11 professional mental health practitioners giving feedback on the feasibility of the TEA; while the second part involved a mixed-method single-arm study with 32 participants recruited online, who went through the seven intervention sessions within 14 days. The questionnaires were collected before, after, 14 days after, and 30 days after intervention. Additionally, 10 participants were invited to semi-structured interviews regarding their suggestions. Results: Practitioners thought that the TEA showed high professionalism (8.91/10) and is suitable for treating emotional symptoms (8.09/10). The generalized estimating equation model showed that the TEA significantly reduced participants' depressive and anxiety symptoms, while the effects of the intervention remained 30 days post intervention (Cohen's d > 1). Thematic analysis revealed three main themes about future improvement, including content improvement, interaction improvement, and bug-fixing. Conclusions: To address the current needs for digital mental health intervention programs to account for the insufficient availability of mental health services in China, the current study provides preliminary evidence of the effectiveness of TEA, with the potential to address the urgent need for remote mental health services. Trial registration: The study was registered at the Chinese Clinical Trial Register (ChiCTR), with number [ChiCTR2200065944].

A multicomponent digital intervention to promote help-seeking for mental health problems and suicide in sexual and gender diverse young adults: A randomized controlled trial.

BACKGROUND: LGBTQ+ community's higher susceptibility to worse mental health outcomes and more help-seeking barriers compared to the cis-heterosexual population. Despite the LGBTQ+ population facing higher mental health risks, there has been a dearth of research focusing on developing tailored interventions targeting them. This study aimed to assess the effectiveness of a digital multicomponent intervention in promoting help-seeking for mental health issues in LGBTQ+ young adults. METHODS AND FINDINGS: We recruited LGBTQ+ young adults aged between 18 and 29 who scored moderate or above on at least 1 dimension of the Depression Anxiety Stress Scale 21 and did not have help-seeking experiences in the past 12 months. Participants (n = 144) were stratified by gender assigned at birth (male/female) and randomly allocated (1:1 ratio) to the intervention or active control parallel condition by generating a random number table, so they were blinded to the intervention condition. All participants received online psychoeducational videos, online facilitator-led group discussions, and electronic brochures in December 2021 and January 2022, with the final follow-up in April 2022. The contents of the video, discussion, and brochure are help-seeking for the intervention group and general mental health knowledge for the control group. The primary outcomes were help-seeking intentions for emotional problems and suicidal ideation and attitudes toward seeking help from mental health professionals at the 1-month follow-up. The analysis was performed by including all participants based on their randomized group regardless of adherence to the protocol. A linear mixed model (LMM) was used for analysis. All models were adjusted for baseline scores. Chinese Clinical Trial Registry: ChiCTR2100053248. A total of 137 (95.1%) participants completed a 3-month follow-up, and 4 participants from the intervention condition and 3 from the control condition did not complete the final survey. Compared with the control group (n = 72), a significant improvement was found in help-seeking intentions for suicidal ideation in the intervention group (n = 70) at post-discussion (mean difference = 0.22, 95% CI [0.09, 0.36], p = 0.005), 1-month (mean difference = 0.19, 95% CI [0.06, 0.33], p = 0.018), and 3-month follow-ups (mean difference = 0.25, 95% CI [0.11, 0.38], p = 0.001). There was also a significant improvement in the intervention condition on the help-seeking intention for emotional problems at 1-month (mean difference = 0.17, 95% CI [0.05, 0.28], p = 0.013) and 3-month follow-ups (mean difference = 0.16, 95% CI [0.04, 0.27], p = 0.022) compared with the control group. Participants' depression and anxiety literacy and help-seeking encouragement related knowledge in intervention conditions showed significant improvements. There were no significant improvements in actual help-seeking behaviors, self-stigma toward seeking professional assistance, depression, and anxiety symptoms. No adverse events or side effects were observed. However, the follow-up time point was limited to 3 months which might not be long enough for drastic mindset and behavioral changes in help-seeking to occur. CONCLUSIONS: The current intervention was an effective approach in promoting help-seeking intentions, mental health literacy, and help-seeking encouragement-related knowledge. Its brief yet integrated intervention format could also be utilized in treating other imminent concerns confronted by LGBTQ+ young adults. TRIAL REGISTRATION: Chictr.org.cn, ChiCTR2100053248.

Internet-based interventions to promote help-seeking for mental health in LGBTQ+ young adults: Protocol for a randomized controlled trial.

Background: Compared to its cis-heterosexual counterpart, the sexual and gender minority (SGM) population is disproportionately susceptible to mental health problems, including depression, anxiety, and minority stress. They are also facing unique help-seeking barriers when in need of support. Past research has shown promising results in using interventions to promote help-seeking intentions and attitudes of the cis-heterosexual population. However, there were no known help-seeking interventions targeting the SGM population. This protocol illustrates a study design to test the efficacy of a newly-developed internet-based program aimed to promote help-seeking for mental health in LGBTQ+ young adults. Methods: This study is a randomized controlled trial that aims to promote and improve the SGM young adults' help-seeking by integrating animated psychoeducational videos, group discussion, and the SGM youth help-seeking brochure. Primary outcomes, including help-seeking intentions and attitudes, will be measured at baseline, post-intervention, one-month post-intervention, and three-month post-intervention. The secondary outcomes, including help-seeking stigma, help-seeking literacy, mental health literacy, and help-seeking behaviors, will be measured at the same time points. Discussion: This is an internet-based, multi-dimensional, and integrative intervention tailored to the needs of the SGM population. It addresses an important gap in the current landscape of mental health promotion for the SGM population. The findings from this trial will provide new knowledge on promoting help-seeking among the SGM population, paving the road for future research that focuses on addressing mental health issues faced by the SGM population. Trial registration: Chictr.org.cn: ChiCTR2100053248.