Epidemiology and Psychiatric Sciences最新文献

Aims: The concept of recovery is featured in the strategic plans of the World Health Organization as well as in other national mental health plans; however, there have been differing interpretations of what it means. This article aims to achieve a consensus on the key aspects of recovery in mental health from the perspective of movements of users and survivors of psychiatry at an international level. Four specific objectives were proposed in this study: (1) to identify what recovery in mental health means, (2) to identify the indicators that a person is progressing in their recovery, (3) to determine the factors that facilitate the recovery process, and (4) to determine the factors that hinder the recovery process.

Methods: A three-round e-Delphi study was conducted with the participation of 101 users and survivors of psychiatry, adhering to the CREDES checklist to ensure methodological rigour.

Results: The results reveal 26 key aspects that define recovery, 31 indicating that a person is progressing in their recovery process, 8 that facilitate recovery and 12 that hinder recovery. The most agreed-upon statements for defining recovery highlight the importance of empowerment, leading a fulfilling life, ensuring safe-living conditions and acknowledging individuals as holders of rights. Similarly, empowerment and agency were highly agreed upon as relevant recovery indicators. Key findings underscore the significance of a supportive and respectful social environment in facilitating recovery, while coercion, discrimination and lack of support from significant others hinder recovery.

Conclusions: Despite cultural differences and recovery's subjective nature, our results demonstrate that an international consensus on critical recovery aspects is attainable. Highlighting a significant shift, we emphasize the 'Transition' process to signify moving away from the biomedical model approach and advocating for collective rights. Our findings advocate for empowerment, users' rights and the move towards person-centred care that integrates social, political and economic contexts. These consensus statements lay the groundwork for future research across diverse regions and cultures, offering insights into recovery's meaning and potential for innovative approaches in diagnosis, intervention and evaluation.

Aims: Research evidence has established an association of obsessive-compulsive disorder (OCD) with suicidal thoughts and suicide attempts. However, further investigation is required to determine whether individuals with OCD have higher risk of death by suicide compared with those without OCD.

Methods: Of the entire Taiwanese population, between 2003 and 2017, 56,977 individuals with OCD were identified; they were then matched at a 1:4 ratio with 227,908 non-OCD individuals on the basis of their birth year and sex. Suicide mortality was assessed between 2003 and 2017 for both groups. Time-dependent Cox regression models were used to investigate the difference in suicide risk between individuals with versus without OCD.

Results: After adjustment for major psychiatric comorbidities (i.e., schizophrenia, bipolar disorder and major depressive disorder), the OCD group had higher risk of suicide (hazard ratio: 1.97, 95% confidence interval: 1.57-2.48) during the follow-up compared with the comparison group. Furthermore, OCD severity, as indicated by psychiatric hospitalizations due to OCD, was positively correlated with suicide risk.

Conclusions: Regardless of the existence of major psychiatric comorbidities, OCD was found to be an independent risk factor for death by suicide. A suicide prevention program specific to individuals with OCD may be developed in clinical practice in the future.

Aims: Suicide prevention strategies have shifted in many countries, from a national approach to one that is regionally tailored and responsive to local community needs. Previous Australian studies support this approach. However, most studies have focused on suicide deaths which may not fully capture a complete understanding of prevention needs, and few have focused on the priority population of youth. This was the first nationwide study to examine regional variability of self-harm prevalence and related factors in Australian young people.

Methods: A random sample of Australian adolescents (12-17-year-olds) were recruited as part of the Young Minds Matter (YMM) survey. Participants completed self-report questions on self-harm (i.e., non-suicidal self-harm and suicide attempts) in the previous 12 months. Using mixed effects regressions, an area-level model was built with YMM and Census data to produce out-of-sample small area predictions for self-harm prevalence. Spatial unit of analysis was Statistical Area Level 1 (average population 400 people), and all prevalence estimates were updated to 2019.

Results: Across Australia, there was large variability in youth self-harm prevalence estimates. Northern Territory, Western Australia, and South Australia had the highest estimated state prevalence. Psychological distress and depression were factors which best predicted self-harm at an individual level. At an area-level, the strongest predictor was a high percentage of single unemployed parents, while being in an area where ≥30% of parents were born overseas was associated with reduced odds of self-harm.

Conclusions: This study identified characteristics of regions with lower and higher youth self-harm risk. These findings should assist governments and communities with developing and implementing regionally appropriate youth suicide prevention interventions and initiatives.

Aims: Identifying children and/or adolescents who are at highest risk for developing chronic depression is of utmost importance, so that we can develop more effective and targeted interventions to attenuate the risk trajectory of depression. To address this, the objective of this study was to identify young people with persistent depressive symptoms across adolescence and young adulthood and examine the prospective associations between factors and persistent depressive symptoms in young people.

Methods: We used data from 6711 participants in the Avon Longitudinal Study of Parents and Children. Depressive symptoms were assessed at 12.5, 13.5, 16, 17.5, 21 and 22 years with the Short Mood and Feelings Questionnaire, and we further examined the influence of multiple biological, psychological and social factors in explaining chronic depressive symptoms.

Results: Using latent class growth analysis, we identified four trajectories of depressive symptoms: persistent high, persistent low, persistent moderate and increasing high. After applying several logistic regression models, we found that loneliness and feeling less connected at school were the most relevant factors for chronic course of depressive symptoms.

Conclusions: Our findings contribute with the identification of those children who are at highest risk for developing chronic depressive symptoms.