Objectives
To assess the association between gender and suicide attempt/death and identify gender-specific risk/protective factors in adolescents/young adults.
Methods
Systematic review (5 databases ...until January 2017). Population-based longitudinal studies considering non-clinical populations, aged 12–26 years, assessing associations between gender and suicide attempts/death, or evaluating their gender risk/protective factors, were included. Random effect meta-analyses were performed.
Results
Sixty-seven studies were included. Females presented higher risk of suicide attempt (OR 1.96, 95% CI 1.54–2.50), and males for suicide death (HR 2.50, 95% CI 1.8–3.6). Common risk factors of suicidal behaviors for both genders are previous mental or substance abuse disorder and exposure to interpersonal violence. Female-specific risk factors for suicide attempts are eating disorder, posttraumatic stress disorder, bipolar disorder, being victim of dating violence, depressive symptoms, interpersonal problems and previous abortion. Male-specific risk factors for suicide attempt are disruptive behavior/conduct problems, hopelessness, parental separation/divorce, friend’s suicidal behavior, and access to means. Male-specific risk factors for suicide death are drug abuse, externalizing disorders, and access to means. For females, no risk factors for suicide death were studied.
Conclusions
More evidence about female-specific risk/protective factors of suicide death, for adolescent/young adults, is needed.
Aim
To assess gender differences in the association between risk/protective factors and suicidal thoughts and behaviors (STB); and whether there is any gender‐interaction with those factors and STB; ...among Spanish university students.
Methods
Data from baseline online survey of UNIVERSAL project, a multicenter, observational study of first‐year Spanish university students (18–24 years). We assessed STB; lifetime and 12‐month negative life‐events and family adversities; mental disorders; personal and community factors. Gender‐specific regression models and gender‐interactions were also analyzed.
Results
We included 2,105 students, 55.4% women. Twelve‐month prevalence of suicidal ideation (SI) was 10%, plans 5.7%, attempts 0.6%. Statistically significant gender‐interactions were found for lifetime anxiety disorder, hopelessness, violence between parents, chronic health conditions and family support. Lifetime mood disorder was a common risk factor of SI for both genders (Females: OR= 5.5; 95%CI 3.3–9.3; Males: OR= 4.4; 95%CI 2.0–9.7). For females, exposure to violence between parents (OR= 3.5; 95%CI 1.7–7.2), anxiety disorder (OR= 2.7; 95%CI 1.6–4.6), and alcohol/substance disorder (OR= 2.1; 95%CI 1.1–4.3); and for males, physical childhood maltreatment (OR= 3.6; 95%CI 1.4–9.2), deceased parents (OR= 4.6; 95%CI 1.2–17.7), and hopelessness (OR= 7.7; 95%CI 2.8–21.2), increased SI risk. Family support (OR= 0.5; 95%CI 0.2–0.9) and peers/others support (OR= 0.4; 95%CI 0.2–0.8) were associated to a lower SI risk only among females.
Conclusions
Only mood disorder was a common risk factor of SI for both genders, whereas important gender‐differences were observed regarding the other factors assessed. The protective effect from family and peers/others support was observed only among females. Further research assessing underlying mechanisms and pathways of gender‐differences is needed.
Abstract Numerous studies suggest that subjects suffering from a mental health condition before the COVID‐19 pandemic were at higher risk of contagion, but mostly are cross‐sectional or ...retrospective. The BIOVAL‐D‐COVID‐19 is a longitudinal cohort study design with 922 subjects who full filled two evaluations from an online survey of Spanish residents before and during the pandemic. Mental health conditions assessed were: Major Depressive Episode (MDE), Generalised Anxiety Disorder (GAD), Suicidal Thoughts and Behaviours (STB) and subthreshold of panic and bipolar disorder (BD). Mental health screening instruments used were: the Spanish version of the Composite International Diagnostic Interview (CIDI) version 3.0 for the evaluation of MDE, the GAD‐7 scale to evaluate GAD; STB was evaluated with four items from the CIDI questionnaire. Panic Disorder and BD were screened from a modified and self‐reported version of the CIDI. A bivariate plus five logistic regression models were developed for each mental health condition adjusted by socio‐demographic variables; employment status; general and physical health; comorbidity; and including all previous variables and the other mental health conditions. We found in bivariate model that MDE; GAD and STB were statistically significant risk factors of contagion of COVID‐19. The logistic regression models developed reveal that having a previous GAD (aOR 3.30 1.31–8.31) or STB (aOR 2.16 CI 95% 1.01–4.62) was statistically significant associated with COVID‐19 contagion, independently of all variables included. MDE was not a risk factor of contagion when it was adjusted by comorbidity (aOR 0.99 CI 95% 0.47–2.09). It is recommended to detect those subjects with previous GAD or STB as vulnerable groups of infection to reduce contagion rates.
The COVID-19 pandemic and the political and health measures have profoundly affected the health of our populations. However, very few studies have been published assessing its impact using a ...prospective cohort. The aim of this study is to describe the impact on physical and mental health due to the COVID-19 pandemic in the general population in Spain, and according to COVID-19 clinical status, during the first year of the pandemic. A longitudinal cohort study with two online surveys were performed on a representative sample of the adult Spanish population before (N = 2005, October/November 2019) and during the pandemic (N = 1357, November/December 2020). We assessed disability using the World Health Organisation Disability Assessment Schedule (WHODAS), major depressive episode (MDE) and suicidal thoughts and behaviours (STB), using an adapted version of the Composite International Diagnostic Interview (CIDI 3.0); generalised anxiety disorder (GAD) using the GAD-7 scale; post-traumatic stress disorder (PTSD) symptoms using the PTSD checklist for DSM-5 (PCL-5). For physical health, there was a statistically significant loss of weight (mean/SD) (T0, 73.22/15.56 vs. T1, 71.21/11.94), less use of tobacco (T0, 11.4% vs. T1, 9.0%) and decreased disability (mean/SD) (T0, 21.52/9.22 vs. T1, 19.03/7.32). For mental health, there was a significant increase in MDE (T0, 6.5% vs. T1, 8.8%) and in the prevalence of GAD (T0, 13.7% vs. T1, 17.7%). The prevalence of STB (T0, 15.1% vs. T1, 7.1%) significantly decreased. Individuals who declared they had been diagnosed with COVID-19 (3.6%) showed a worsening in physical health and an increase in mental health problems and PTSD symptoms. Although suicide risk during the first year of the pandemic was significantly less, many suicide risk factors increased: such as the incidence and persistence of MDE and GAD, the presence of PTSD symptoms in those diagnosed with COVID-19, and a worsening in self-assessed health status. We expect an increase in STB in the population in the long-term. Future research should gather information about the long-term impact of the pandemic.
Suicide is a leading cause of death among young people. While suicide prevention is considered a research and intervention priority, longitudinal data is needed to identify risk and protective ...factors associate with suicidal thoughts and behaviors. Here we describe the UNIVERSAL (University and Mental Health) project which aims are to: (1) test prevalence and 36-month incidence of suicidal thoughts and behaviors; and (2) identify relevant risk and protective factors associated with the incidence of suicidal thoughts and behaviors among university students in Spain.
An ongoing multicenter, observational, prospective cohort study of first year university students in 5 Spanish universities. Students will be assessed annually during a 36 month follow-up. The surveys will be administered through an online, secure web-based platform. A clinical reappraisal will be completed among a subsample of respondents. Suicidal thoughts and behaviors will be assess with the Self-Injurious Thoughts and Behaviors Interview (SITBI) and the Columbia-Suicide Severity Rating Scale (C-SSRS). Risk and protective factors will include: mental disorders, measured with the Composite International Diagnostic Interview version 3.0 (CIDI 3.0) and Screening Scales (CIDI-SC), and the Epi-Q Screening Survey (EPI-Q-SS), socio-demographic variables, self-perceived health status, health behaviors, well-being, substance use disorders, service use and treatment. The UNIVERSAL project is part of the International College Surveys initiative, which is a core project within the World Mental Health consortium. Lifetime and the 12-month prevalence will be calculated for suicide ideation, plans and attempts. Cumulative incidence of suicidal thoughts and behaviors, and mental disorders will be measured using the actuarial method. Risk and protective factors of suicidal thoughts and behaviors will be analyzed by Cox proportional hazard models.
The study will provide valid, innovative and useful data for developing prevention programs for youth suicide and for improving early identification for high-risk students. The longitudinal design of this study will improve causal interpretation of analyzed associations, needed for generating and validating predictive models. It will represent the first results about suicidal thoughts and behaviors in the Spanish university population. The World Mental Health Survey collaboration will permit accurate cross-national comparisons.
Despite increasing recommendations for health professionals to participate in intervention design and implementation to effect changes in clinical practice, little is known about this strategy's ...effectiveness. This study analyses the effectiveness of interventions designed and implemented through participatory action research (PAR) processes in healthcare networks of Brazil, Chile, Colombia, Mexico and Uruguay to improve clinical coordination across care levels, and offers recommendations for future research.
The study was quasi-experimental. Two comparable networks, one intervention (IN) and one control (CN), were selected in each country. Baseline (2015) and evaluation (2017) surveys of a sample of primary and secondary care doctors (174 doctors/network/year) were conducted using the COORDENA® questionnaire. Most of the interventions chosen were based on joint meetings, promoting cross-level clinical agreement and communication for patient follow-up. Outcome variables were: a) intermediate: interactional and organizational factors; b) distal: experience of cross-level clinical information coordination, of clinical management coordination and general perception of coordination between levels. Poisson regression models were estimated.
A statistically significant increase in some of the interactional factors (intermediate outcomes) -knowing each other personally and mutual trust- was observed in Brazil and Chile INs; and in some organizational factors -institutional support- in Colombia and Mexico. Compared to CNs in 2017, INs of Brazil, Chile, Colombia and Mexico showed significant differences in some factors. In distal outcomes, care consistency items improved in Brazil, Colombia and Uruguay INs; and patient follow-up improved in Chile and Mexico. General perception of clinical coordination increased in Brazil, Colombia and Mexico INs. Compared to CNs in 2017, only Brazil showed significant differences.
Although more research is needed, results show that PAR-based interventions improved some outcomes regarding clinical coordination at network level, with differences between countries. However, a PAR process is, by definition, slow and gradual, and longer implementation periods are needed to achieve greater penetration and quantifiable changes. The participatory and flexible nature of interventions developed through PAR processes poses methodological challenges (such as defining outcomes or allocating individuals to different groups in advance), and requires a comprehensive mixed-methods approach that simultaneously evaluates effectiveness and the implementation process to better understand its outcomes.
Background Despite increasing recommendations for health professionals to participate in intervention design and implementation to effect changes in clinical practice, little is known about this ...strategy’s effectiveness. This study analyses the effectiveness of interventions designed and implemented through participatory action research (PAR) processes in healthcare networks of Brazil, Chile, Colombia, Mexico and Uruguay to improve clinical coordination across care levels, and offers recommendations for future research. Methods The study was quasi-experimental. Two comparable networks, one intervention (IN) and one control (CN), were selected in each country. Baseline (2015) and evaluation (2017) surveys of a sample of primary and secondary care doctors (174 doctors/network/year) were conducted using the COORDENA® questionnaire. Most of the interventions chosen were based on joint meetings, promoting cross-level clinical agreement and communication for patient follow-up. Outcome variables were: a) intermediate: interactional and organizational factors; b) distal: experience of cross-level clinical information coordination, of clinical management coordination and general perception of coordination between levels. Poisson regression models were estimated. Results A statistically significant increase in some of the interactional factors (intermediate outcomes) -knowing each other personally and mutual trust- was observed in Brazil and Chile INs; and in some organizational factors -institutional support- in Colombia and Mexico. Compared to CNs in 2017, INs of Brazil, Chile, Colombia and Mexico showed significant differences in some factors. In distal outcomes, care consistency items improved in Brazil, Colombia and Uruguay INs; and patient follow-up improved in Chile and Mexico. General perception of clinical coordination increased in Brazil, Colombia and Mexico INs. Compared to CNs in 2017, only Brazil showed significant differences. Conclusions Although more research is needed, results show that PAR-based interventions improved some outcomes regarding clinical coordination at network level, with differences between countries. However, a PAR process is, by definition, slow and gradual, and longer implementation periods are needed to achieve greater penetration and quantifiable changes. The participatory and flexible nature of interventions developed through PAR processes poses methodological challenges (such as defining outcomes or allocating individuals to different groups in advance), and requires a comprehensive mixed-methods approach that simultaneously evaluates effectiveness and the implementation process to better understand its outcomes.
Introduction
Resilience has been identified as a dynamic process that provides capabilities to face adversity. Considering the many protective factors involved in resilience and that the school is a ...key context to promote resilience, this review aimed to examine the effect of school-based interventions on resilience in adolescents.
Methods
A systematic literature review and meta-analysis were conducted in July 2021 on four databases. The risk of bias was assessed using the Cochrane risk of bias tool. Random-effects meta-analysis was used to obtain pooled estimates. Stratified analyses were done according to population type (general, at risk), intervention type, and follow-up assessments.
Results
Of the 1,667 articles obtained, 27 were included in the systematic review and 16 in the meta-analysis. The random effects indicated a significant increase in resilience after the intervention SMD = 0.58, 95% CI (0.29–0.87). Subgroup analysis showed effectiveness only in the population at risk SMD = 1.28, 95% CI (0.53–2.03) and early adolescence SMD = 1.28, 95% CI (0.42–2.14), PI (−7.44 to 10.33). Multicomponent intervention SMD = 1.45, 95% CI (0.11–2.80) and Cognitive Behavioural Therapy (CBT) SMD = 0.20, 95% CI (0.06–0.34) demonstrated substantial effectiveness. Significant results were observed within 8-week follow-ups or less SMD = 1.55, 95% CI (0.61–2.48).
Discussion
These findings provide evidence that multicomponent and CBT interventions increase resilience in early at-risk adolescents only in the short term. Developing resilience interventions is useful in schools exposed to unfavourable socioeconomic contexts. Furthermore, long-term interventions should be redesigned to improve their effectiveness.
Systematic review registration
PROSPERO CRD42021277493.
Resilience is considered of high relevance when developing interventions to cope with stressful situations. Schools are one of the key settings to promote resilience among adolescents. The purpose of ...this cluster randomized controlled trial is to assess the effectiveness of an intervention in adolescents at risk, aged 12-to-15 years old, to increase resilience and emotional regulation strategies.
The recruitment period started in January 2022. Schools will be randomly allocated to control and intervention groups by an external researcher using computer-generated random numbers. The minimum sample size was estimated to be 70 participants per group. Primary health care nurses will carry out the intervention during the school period (January to June 2022). Students will follow a specific training consisting of six 55-min sessions, for 6 weeks. Each session will consist of 5 min of mindfulness, followed by 45 min of the corresponding activity: introducing resilience, self-esteem, emotional regulation strategies, social skills, problem-solving, community resources, social and peer support, and 5 min to explain the activity to do at home. Data will be collected at baseline, 6 weeks, and 24 weeks after the intervention. The child youth resilience measure-32 (CYRM-32) scale will be used to assess the effectiveness of the intervention. This study received a grant in June 2021.
The intervention is intended to improve mental health through resilience. Different factors related to resilience will be promoted, such as self-esteem, emotional regulation, social and communication skills, problem-solving and peer support, among others. As it has been designed as a cluster-randomized school-based intervention, we will directly ameliorate the participation and engagement of the target population. With the present intervention, we expect to improve coping skills in adolescents by enhancing resilience capacities.
SARS-CoV-2 outbreak has a negative psychological impact among general population. Data comparing mental health status before and during the outbreak is needed. The BIOVAL-D-COVID-19 study assess the ...socio-economic and psychological impact of the COVID-19 pandemic and lockdown in a representative sample of non-institutionalized Spanish adult population, and estimate the incidence of mental health disorders, including suicidal behaviours, and possible related factors.
Observational longitudinal study including two online surveys: baseline survey (T0) performed during 2019 and follow-up survey (T1) conducted 12-month later. The latter included nine sections: socio-demographic, health status, mental health, employment conditions and status, material deprivation, use of healthcare services, intimate partner violence and resilience. Four of the nine sections are administered in T0 and T1 assessments. Longitudinal data analyses will estimate adjusted incidence rates of mental health disorders using Poisson regression models. Risk and protective factors will be analysed through multiple logistic regression models.
el estudio BIOVAL-D-COVID-19 evaluará el impacto socioeconómico y psicológico de la pandemia de COVID-19 y del confinamiento en una muestra representativa de población española adulta no institucionalizada, y estimará la incidencia de trastornos de salud mental, incluida la conducta suicida, y los posibles factores relacionados.
estudio longitudinal que incluye dos encuestas online: la encuesta basal (T0) realizada durante 2019 y la encuesta de seguimiento (T1) realizada 12 meses después. Esta última tiene nueve secciones: variables sociodemográficas, estado de salud general, salud mental, condiciones laborales y estatus laboral, privación material, uso de servicios de salud, violencia de pareja y resiliencia. Cuatro de las nueve secciones se administran en ambas encuestas (T0 y T1). Se utilizarán modelos de regresión de Poisson para el análisis longitudinal de las tasas de incidencia ajustadas de trastornos de salud mental. Los factores de riesgo y de protección se analizarán mediante modelos de regresión logística múltiple.
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