Intervention Model Research Articles

Experimental Testing of a Short Model of Integrative Psychotherapeutic Intervention to Reduce Suicidal Behavior and Ideation in Depressed Patients Admitted to the Psychiatric Ward

<p>This study investigates the efficacy of a short-term integrative psychotherapeutic intervention designed to reduce suicidal behavior and ideation in depressed patients admitted to a psychiatric ward. Suicidal risk, influenced by mental health disorders, personal crises, social isolation, substance abuse, and trauma, is typically treated with pharmacotherapy and psychotherapy. The study focuses on combining various psychotherapeutic techniques including Cognitive-Behavioral Therapy (CBT), Dialectical Behavior Therapy (DBT), and Mindfulness-Based Cognitive Therapy (MBCT) into a cohesive intervention program.</p><p>The intervention, delivered over four weeks, included six modules encompassing psychoeducation, behavioral activation, cognitive restructuring, mindfulness practices, and personal development strategies. Participants were divided into an experimental group receiving both the psychotherapeutic intervention and medication and a control group receiving only medication.</p><p>The study measured changes in hopelessness and depression using the Beck Hopelessness Scale (BHS), Montgomery-Åsberg Depression Rating Scale (MADRS), and the DASS-21R depression scale. The study concludes that integrative psychotherapeutic intervention significantly improves psychological outcomes for depressed patients at risk of suicide, offering a viable complement to pharmacological treatments. These findings support the potential of combining cognitive-behavioral and mindfulness techniques for the holistic management of depression and suicidal ideation in clinical settings.</p>Results indicated significant reductions in hopelessness and depression among the experimental group. Specifically, the BHS and MADRS scores showed substantial decreases post-intervention, highlighting the immediate efficacy of the integrated psychotherapeutic approach. However, the DASS-21R results did not demonstrate statistically significant differences.

Implementation of the Cupping Health Program of KKN Muhammadiyah University of Sidoarjo as an Effort to Increase Public Health Awareness of Muhammadiyah Barengkrajan Branches

Cupping therapy, a traditional alternative medicine practice, has garnered increasing interest as a holistic health approach. Despite its historical significance, there remains a lack of comprehensive awareness and understanding of its benefits within various communities. Previous studies have not adequately addressed the implementation and public perception of cupping therapy in local contexts, particularly among underserved populations. This study aims to evaluate the effectiveness of a cupping health program conducted by the Muhammadiyah Sidoarjo University KKN group in the Barengkrajan community, focusing on enhancing public awareness and accessibility to alternative health services. Through direct therapy sessions led by qualified professionals and educational initiatives, the program achieved high participant satisfaction rates and a notable increase in interest towards alternative therapies. This program uniquely combines practical cupping therapy with educational outreach, providing a model for similar community health interventions. The findings suggest that structured cupping programs can significantly improve community health perceptions and utilization of alternative therapies, warranting further exploration and development to integrate such practices into broader public health strategies. Highlights: High participant satisfaction demonstrated the effectiveness of direct therapy sessions. Educational initiatives significantly increased community interest in alternative therapies. The program serves as a model for integrating traditional practices into modern health strategies. Keywords: cupping therapy, alternative medicine, public health, community awareness, health intervention

An Automated Clubbed Fingers Detection System Based on YOLOv8 and U-Net: A Tool for Early Prediction of Lung and Cardiovascular Diseases

Background/Objectives: Lung and cardiovascular diseases are leading causes of mortality worldwide, yet early detection remains challenging due to the subtle symptoms. Digital clubbing, characterized by the bulbous enlargement of the fingertips, serves as an early indicator of these diseases. This study aims to develop an automated system for detecting digital clubbing using deep-learning models for real-time monitoring and early intervention. Methods: The proposed system utilizes the YOLOv8 model for object detection and U-Net for image segmentation, integrated with the ESP32-CAM development board to capture and analyze finger images. The severity of digital clubbing is determined using a custom algorithm based on the Lovibond angle theory, categorizing the condition into normal, mild, moderate, and severe. The system was evaluated using 1768 images and achieved cloud-based and real-time processing capabilities. Results: The system demonstrated high accuracy (98.34%) in real-time detection with precision (98.22%), sensitivity (99.48%), and specificity (98.22%). Cloud-based processing achieved slightly lower but robust results, with an accuracy of 96.38%. The average processing time was 0.15 s per image, showcasing its real-time potential. Conclusions: This automated system provides a scalable and cost-effective solution for the early detection of digital clubbing, enabling timely intervention for lung and cardiovascular diseases. Its high accuracy and real-time capabilities make it suitable for both clinical and home-based health monitoring.

A novel rural hospital/clinic-system practice-based research network: the Rural Addiction Implementation Network (RAIN) initiative and its goals, implementation, and early results

ABSTRACT Background: Rural and frontier communities face high rates of opioid use disorders (OUDs). In 2021, the Rural Addiction Implementation Network (RAIN) sought to establish a rural hospital/clinic-system practice-based research network (RH-PBRN) to facilitate implementation of evidence-based addiction-related prevention, treatment, and recovery (PTR) services to reduce the morbidity of OUD and substance use disorder (SUD) in rural communities. Objective: To describe the goals and implementation of PTR activities of RAIN, a novel RH-PBRN. Methods: RAIN identified teams of external/internal facilitators at four rural hospitals/clinic-networks to achieve at least 15 PTR activities involving OUD and other SUDs. RAIN utilized an implementation-facilitation approach: facilitators assessed the implementation environment and promoted interventions to overcome barriers to PTR implementation. Other interventions included site visits, community of learning calls, and e-communication. RAIN assessed and recorded facilitators and barriers to implementation, milestone attainment, and outcomes of PTR activities. At 18 months, we queried facilitators about the fidelity and implementation of RAIN activities. Results: RAIN established an HP-PBRN in four sites (Idaho, Montana, Utah, and Wyoming). Within the HP-PBRN, 20 PTR activities were established (p = 7, T = 10, R = 3; range 3–7 per site). Barriers to implementation of PTR activities included competing clinical demands, especially due to COVID-19, lack of dedicated effort for staff at sites, and stigma of addiction and its treatment. Facilitators of implementation included the use of trained expert facilitators and communication between the sites. Conclusions: RAIN implemented 20 addiction-related PTR activities in four rural hospitals/clinic-networks. RAIN’s intervention model could be replicated to address addiction-related harms in other rural communities.

Effectiveness of Psychosocial Interventions in Preventing Postpartum Depression Among Teenage Mothers-Systematic Review and Meta-analysis of Randomized Controlled Trials.

Postpartum depression is a significant public health issue that occurs within the first 12weeks after childbirth. It is more prevalent among teenage mothers compared to adults. However, the findings of the existing interventional studies cannot be readily applied to teenage mothers due to their unique psychosocial concerns. Furthermore, these findings have shown inconsistencies regarding the benefit of psychological and psychosocial interventions in reducing the incidence of postpartum depression. The current review is aimed at investigating the effectiveness of psychosocial interventions in preventing postpartum depression, specifically among teenage mothers. The preferred reporting items for systematic reviews and meta-analysis manuals were utilized to identify and select relevant articles for this review. The articles were retrieved using population, intervention, control, and outcome models. The quality of each article was assessed using the Cochrane risk of bias tool. Statistical analysis was conducted using STATA version 17. The effect size of the intervention was estimated using the standard mean difference in depression scores between the intervention and control groups. Heterogeneity among the studies was assessed using the I2 statistic and Q statistic, while publication bias was evaluated through funnel plot asymmetry and Egger's test. A total of nine eligible articles were included. While psychosocial interventions have been demonstrated to decrease the incidence of postpartum depression compared to usual maternal health care, it is worth noting that the mean difference in depression scores was significant in only three of the included studies. The meta-analysis revealed that psychosocial interventions were effective at preventing postpartum depression, with a pooled effect size of - 0.5 (95% CI: - 0.95, - 0.06) during the final postpartum depression assessment. The heterogeneity was substantial, with an I2 value of 82.3%. Although publication bias was not observed, small studies had a significant effect on the pooled effect size. The findings of this review suggest that psychosocial interventions can effectively prevent PPD, particularly within the first 3months of the postpartum period. This review highlights the scarcity of interventional studies in low-income countries, indicating the need for further research in diverse communities.

Personal Genetic-Hypertension Odyssey From Phenotypes to Genotypes and Targets.

Hypertension requires increased systemic vascular resistance. Thus far, Mendelian hypertension-related genes are related to salt retention, an indirect regulatory effect. With the identification of mutated, overactive, PDE3A (phosphodiesterase 3A), we have uncovered a more direct vasoconstrictive mechanism. The autosomal-dominant syndrome features another specific phenotype, brachydactyly type E. Hypertension and the bony phenotype invariably occur together. We distinguished between these phenotypes by examining individual pedigrees. We implicated the gene encoding the parathyroid hormone-related peptide in the brachydactyly. We identified the hypertensive mechanisms as involving regulatory-region, gain-of-function, exon 4 rare pathogenic variants, in the cAMP-cGMP-catabolizing enzyme, PDE3A. We generated rodent models that recapitulate all human phenotypes. Comparisons not only allowed pathogenic insights into the human condition but also provided intervention models. Moreover, we identified rare pathogenic variants in exon 13 encoding the enzymatic pocket. These patients had identical phenotypes, also corroborated in a rodent model, which produced the same human phenotypes. These data could allow the differentiation between a target organ and blood pressure phenotype. The research allows visualization of enzymatic processes at the intracellular nanodomain level. The scope of this project has elucidated genetic mechanisms important to cartilage development, possibly cancer metastases, and findings relevant to cardiovascular regulation via systemic vascular resistance. For our team, the project was an educational/scientific adventure over a professional lifetime.

Exploring the determinants of oral health care uptake among women with gestational diabetes mellitus: A qualitative study to develop a logic model and framework for an oral health intervention.

Gestational diabetes mellitus (GDM) is a condition of glucose intolerance in pregnancy. Oral health has been shown to mediate blood glucose management and pregnancy outcomes. There is also a greater prevalence of poor oral health in GDM pregnancies when compared to normoglycemic pregnancies. While current guidelines recommend an oral health review as part of diabetes and pregnancy management, it is under-considered in GDM care. Hence, it is important to understand how to improve oral health care in this context. To explore the determinants of oral health care uptake among women with GDM to develop a logic model for an intervention to improve awareness and activation of oral health behaviours in this population. Semi-structured interviews were used to collect the data and the Theoretical Domains Framework inspired the interview guide. The study population consisted of UK-based women with GDM over 18 years of age. The data were analysed with Framework Analysis and the COM-B Model was used to orientate the data. Seventeen women participated in the study. Five themes including knowledge about oral health; the health of the baby; the impact of the GDM diagnosis; social support and barriers and facilitators were found to influence the uptake of oral health care. This study developed an evidence-based logic model of the determinants of oral health care uptake among women with GDM. This will serve as a framework for developing an oral health intervention. This study may be the starting point for initiating conversations about implementing oral health care in GDM management.

Modeling high-risk Wilms tumors enables the discovery of therapeutic vulnerability

Wilms tumor (WT) is the most common pediatric kidney cancer treated with standard chemotherapy. However, less-differentiated blastemal type of WT often relapses. To model the high-risk WT for therapeutic intervention, we introduce pluripotency factors into WiT49, a mixed-type WT cell line, to generate partially reprogrammed cells, namely WiT49-PRCs. When implanted into the kidney capsule in mice, WiT49-PRCs form kidney tumors and develop both liver and lung metastases, whereas WiT49 tumors do not metastasize. Histological characterization and gene expression signatures demonstrate that WiT49-PRCs recapitulate blastemal-predominant WTs. Moreover, drug screening in isogeneic WiT49 and WiT49-PRCs leads to the identification of epithelial- or blastemal-predominant WT-sensitive drugs, whose selectivity is validated in patient-derived xenografts (PDXs). Histone deacetylase (HDAC) inhibitors (e.g., panobinostat and romidepsin) are found universally effective across different WT and more potent than doxorubicin in PDXs. Taken together, WiT49-PRCs serve as a blastemal-predominant WT model for therapeutic intervention to treat patients with high-risk WT.

NefroAssist: A Machine-Learning Prediction Model for Early Nephrology Intervention in Hospitalized Patients at Christus Muguerza Group

NefroAssist: A Machine-Learning Prediction Model for Early Nephrology Intervention in Hospitalized Patients at Christus Muguerza Group

The Dynamic Adaptation of the Journey of Hope: A School-Based Intervention to Support Pandemic and Disaster-Affected Children and Youth.

The Journey of Hope (JoH) is an evidence-based behavioral health prevention intervention model designed for disaster-affected children and youth. While the in-person JoH model has been extensively delivered and studied, the virtual implementation of this intervention, specifically tailored for the unique needs of children and youth during the COVID-19 pandemic, has not been previously explored. In this context, authors of this article adapted the JoH to a virtual delivery model, aiming to provide access to behavioral health preventive services for children and youth during the COVID-19 pandemic when in-person services were not feasible. This adaptation, utilizing the dynamic adaptation process (DAP) and community-based participatory research (CBPR) principles, was carefully designed to meet pandemic-related challenges while maintaining the core components of the original intervention. The primary objectives of this article are twofold: (1) to provide an overview of the theoretical and conceptual underpinnings of the JoH-C19, including the framework that guided the adaptation, and (2) to describe the virtually adapted curriculum and initial pilot of the JoH-C19. This adaptation represents a crucial step in ensuring the accessibility of virtual behavioral health interventions for young populations facing various collective traumas and challenges in a rapidly evolving world.

Teaching a Physical Activity to a Young Child With Autism Using the Three-Tier Video Modeling Model: A Pilot Study

The Three-Tier Video Modeling intervention model was derived from the theory of Response to Intervention. This pilot study aimed to demonstrate the application of the Three-Tier Video Modeling model with a top-down approach in teaching physical activity to a 4-year-old boy with autism spectrum disorder and his typically developing peers. The study utilized a single case-changing conditions design and measured children’s performance in the target physical activity. The results showed that the boy with autism spectrum disorder acquired the target skill and consequently generalized it to the natural environment, and all peers mastered the skill after intervention. Teachers and parents also reported a more inclusive learning environment. The potential implications of this novel approach were discussed.

Forgotten Victims of War: A Rapid Review of Counseling Needs and a Proposed Intervention Model for Civilian Survivors

The counseling needs of civilian war victims, particularly those not classified as refugees, have been largely neglected in academic counseling research. This study addresses this gap by conducting a rapid literature review to evaluate the current state of counseling services available to these individuals. Using Google Scholar and Web of Science, we identified and reviewed studies on counseling services for war veterans, refugees, and civilians in conflict zones. This review revealed a significant lack of structured counseling support for non-refugee civilian war victims, despite their high vulnerability. Findings indicate that while substantial efforts have been made to support refugees and veterans, the mental health needs of civilians who remain in conflict areas are often unmet, with existing services being sparse and inadequately documented. To address this issue, we propose a preliminary model that includes culturally sensitive counseling programs, training for local counselors, and international collaboration to provide sustainable support. This study highlights the urgent need for focused research and practical interventions to develop comprehensive counseling programs for these overlooked victims of war, and encourages researchers to address this critical gap in mental health services.

Effects of a Physical Exercise Program on Young People and Adults with Autism Spectrum Disorder-A Study Protocol.

Background/Objectives: Physical exercise (PE) has been shown to have positive effects on the symptoms associated with autism spectrum disorder (ASD). However, there is still no consensus on the most appropriate PE intervention model. With this in mind, we developed a program with the aim of determining the effects of PE on physical fitness, with a view to applying it as a potential treatment. Methods: Using an experimental methodology, this research work will recruit 18 institutionalized young people and adults who will be allocated to one of two groups, namely (i) the youth training group and (ii) the adult training group, using low-cost materials. Both intervention groups will perform 90 min of training per session, twice a week, for 12 weeks. Evaluations will be carried out at baseline and month 3. The impact of the exercise program will be assessed based on the variables of anthropometry, body composition, cardiovascular response, and cardiorespiratory fitness. Results: The results of this study will contribute to the development of more effective strategies, prescription recommendations, and interventions as a guarantee in future programs of better and greater adherence to PE by institutionalized individuals with ASD. Conclusions: In addition, we intend to make the PE program available if it promotes positive effects in the target population.

Intervention model in reducing the unmet need for contraception: a systematic literature review on technology-based, community, and health worker interventions

The unmet need for contraception is a serious public health problem, and efforts to reduce the unmet need for family planning are a challenge due to the many and complex factors that contribute to the unmet needs. The aim of this study was to systematically review scientific evidence on intervention models that effectively reduce the unmet need for contraception. This study used a systematic review to identify relevant scientific articles. The article search was based on the PICO approach and used a database from https://www.scopus.com/, https://www.sciencedirect.com/, https://pubmed.ncbi.nlm.nih.gov/, https://www.mdpi.com/, https://www.jstor.org/, https://www.nature.com/, https://link.springer.com/. The reviewed material was full-text articles and open-access articles published from 2013 to 2023. Data extraction included author, country, type of intervention, research design, sample, and main research findings. Twelve studies were included in our qualitative synthesis. Technology-based interventions, such as mobile phone instant messaging apps, were implemented in countries like Tajikistan, Bolivia, and Mozambique. Community-based interventions included the Community Family Health=Family Wealth program in Uganda, the Tékponon Jikuagou (TJ) program in Benin, and the Married Adolescent Girls Club (MAG club) and Participatory Women's Group Intervention in Bangladesh. Health worker-led interventions involved community health volunteers in Nepal, postpartum contraceptive counseling, contraceptive counseling for all ages, structured counseling for childbearing couples in Indonesia, and the "Consult and Choose" client-centered family service in Jordan. The findings underscore that varying intervention models can significantly enhance contraceptive use, tailored to specific cultural and regional contexts. These interventions, therefore, hold substantial implications for public health practices aiming to address and reduce the global unmet need for contraception. This systematic review provides valuable insights into the effectiveness of diverse interventions and suggests avenues for public health strategies to expand contraceptive access and use globally.

Trial Factors Associated With Completion of Clinical Trials Evaluating AI: Retrospective Case-Control Study.

Evaluation of artificial intelligence (AI) tools in clinical trials remains the gold standard for translation into clinical settings. However, design factors associated with successful trial completion and the common reasons for trial failure are unknown. This study aims to compare trial design factors of complete and incomplete clinical trials testing AI tools. We conducted a case-control study of complete (n=485) and incomplete (n=51) clinical trials that evaluated AI as an intervention of ClinicalTrials.gov. Trial design factors, including area of clinical application, intended use population, and intended role of AI, were extracted. Trials that did not evaluate AI as an intervention and active trials were excluded. The assessed trial design factors related to AI interventions included the domain of clinical application related to organ systems; intended use population for patients or health care providers; and the role of AI for different applications in patient-facing clinical workflows, such as diagnosis, screening, and treatment. In addition, we also assessed general trial design factors including study type, allocation, intervention model, masking, age, sex, funder, continent, length of time, sample size, number of enrollment sites, and study start year. The main outcome was the completion of the clinical trial. Odds ratio (OR) and 95% CI values were calculated for all trial design factors using propensity-matched, multivariable logistic regression. We queried ClinicalTrials.gov on December 23, 2023, using AI keywords to identify complete and incomplete trials testing AI technologies as a primary intervention, yielding 485 complete and 51 incomplete trials for inclusion in this study. Our nested propensity-matched, case-control results suggest that trials conducted in Europe were significantly associated with trial completion when compared with North American trials (OR 2.85, 95% CI 1.14-7.10; P=.03), and the trial sample size was positively associated with trial completion (OR 1.00, 95% CI 1.00-1.00; P=.02). Our case-control study is one of the first to identify trial design factors associated with completion of AI trials and catalog study-reported reasons for AI trial failure. We observed that trial design factors positively associated with trial completion include trials conducted in Europe and sample size. Given the promising clinical use of AI tools in health care, our results suggest that future translational research should prioritize addressing the design factors of AI clinical trials associated with trial incompletion and common reasons for study failure.

Abstract C011: The Critical Role of Developmental Evaluation in Supporting and Enhancing an Equitable Transdisciplinary Approach to Address Cancer Disparities

Abstract Background: Complex problems such as cancer disparities require deeper integration of social and scientific problem-solving and a broader systems approach. Given the nature of disparities, it also demands that we not just seek equitable outcomes but collaborate in ways that reflect equity in the process. To address breast and lung cancer disparities, we developed a unique transdisciplinary approach that creates teams inclusive of community, clinicians, and researchers and builds capacity to understand at a deep level the factors that underpin disparities and design and implement newer sustainable solutions. Methods: This study focuses on a phase I planning period for a transdisciplinary process with five teams locally embedded where lung and breast cancer disparities are significant. A leadership team that included primary investigators from academic medicine and public health supported community-based facilitators and evaluators responsible for guiding local teams. Deep equity, considerations on the biology to policy spectrum, and systems thinking are grounding principles in our approach. At the end of phase I, an evaluator facilitated After-Action Reviews (AAR) to assess effectiveness in maintaining fidelity to the framework and to identify successful practices and areas for improvement. These data informed changes to our approach to implementation to further root our commitment to equity during implementation. Seven AAR sessions were conducted: individual teams members, facilitators and evaluators, and the leaderships team (n-=50). The evaluator triangulated the data from the different AARs and facilitated a discussion of the integrated findings to the expanded leadership team. Results: The AAR highlighted three primary themes for critical self-reflection including (1) strengthening the understanding and use of our approach, (2) reducing ambiguity while preserving slack (e.g. flexibility with resources) and creativity, and (3) integrating project’s partners intentionally into our wider transdisciplinary network. In examining these themes, we identified several strategies for improving our transdisciplinary approach during implementation and for wider replication of our framework with future integrated science-social problem solving. These areas included improved systems for 360-degree communication, clear expectations of roles, and additional support for transdisciplinary collaboration and application of grounded principles to better self-organize a transdisciplinary system within a wider less resilient system like academic medicine. Discussion: To successfully innovate socially and scientifically within complexities of cancer disparities, we need to push beyond conventional models of research and program intervention. This means incorporating methods across fields and sectors including evaluation. An After-Action Review is an effective evaluation tool for assessing a complex process with numerous contributors to ensure a stronger outcome including more refined and relevant research questions and sustainability program, policy and practice. Citation Format: Tobi Cawthra, Laura Pinsoneault, Jerica Broeckling, Kristen Gardner-Volle, Tim Meister, Kailey Taebel, Jada Proctor, Felicia Fairfield, Kelly Hackett, David Frazer, Staci Young, Melinda Stolley. The Critical Role of Developmental Evaluation in Supporting and Enhancing an Equitable Transdisciplinary Approach to Address Cancer Disparities [abstract]. In: Proceedings of the 17th AACR Conference on the Science of Cancer Health Disparities in Racial/Ethnic Minorities and the Medically Underserved; 2024 Sep 21-24; Los Angeles, CA. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2024;33(9 Suppl):Abstract nr C011.

High-dimensional Ageome Representations of Biological Aging across Functional Modules.

The aging process involves numerous molecular changes that lead to functional decline and increased disease and mortality risk. While epigenetic aging clocks have shown accuracy in predicting biological age, they typically provide single estimates for the samples and lack mechanistic insights. In this study, we challenge the paradigm that aging can be sufficiently described with a single biological age estimate. We describe Ageome, a computational framework for measuring the epigenetic age of thousands of molecular pathways simultaneously in mice and humans. Ageome is based on the premise that an organism's overall biological age can be approximated by the collective ages of its functional modules, which may age at different rates and have different biological ages. We show that, unlike conventional clocks, Ageome provides a high-dimensional representation of biological aging across cellular functions, enabling comprehensive assessment of aging dynamics within an individual, in a population, and across species. Application of Ageome to longevity intervention models revealed distinct patterns of pathway-specific age deceleration. Notably, cell reprogramming, while rejuvenating cells, also accelerated aging of some functional modules. When applied to human cohorts, Ageome demonstrated heterogeneity in predictive power for mortality risk, and some modules showed better performance in predicting the onset of age-related diseases, especially cancer, compared to existing clocks. Together, the Ageome framework offers a comprehensive and interpretable approach for assessing aging, providing insights into mechanisms and targets for intervention.

The Role of Personality, Just World Beliefs, and Rape Myth Acceptance on Sexual Violence Bystander Intentions

ABSTRACT Socioecological models of bystander intervention suggest that a complex decision-making process is required for a prosocial bystander to intervene, starting with intrapersonal variables of cognition and personality. This study investigates how rape myth acceptance, personality, and just world beliefs impact the frequency of positive bystander intention. The study’s sample size consisted of 139 college students. Participants completed an online survey in which they read a vignette and indicated whether they would intervene as a bystander at 25 different instances throughout the vignette. Correlational analyses showed that agreeableness and openness were positively associated with prosocial bystander behavioral intention. A multiple regression analysis found only the belief that the world was a safe and good place was predictive of prosocial bystander behavioral intention. The results suggest that bystander intervention education programs should be revised to address just world beliefs.

Adolescent Health and Parents' and Teachers' Beliefs about Smoking: A Cross-Sectional Study.

The acquisition of healthy lifestyle habits by adolescents is largely influenced by close interpersonal relationships including their parents and teachers. A cross-sectional survey regarding tobacco use was conducted among 304 parents and 41 teachers of secondary school adolescents (12-17 years of age) enrolled in the first, second, and third grades of compulsory secondary education at the largest high school in Sueca, Valencia, Spain. The prevalence of smoking was 36.2% among parents (occasional smokers 75.4%) and 19.5% among teachers (occasional smokers 62.5%). Most parents (89.8%) did not believe that their child smoked and 95.7% viewed it negatively if they did. Also, 75.2% of parents agreed that tobacco consumption encourages adolescents to use cannabis or other drugs. Friends who smoke and additives added to cigarettes were considered very influential factors for starting smoking. Most teachers (90.2%) reported having given a recommendation to their students to quit smoking. Cannabis and cigarette smoking were rated as harmful to health. Most respondents believed that cigarette smoking may favor the consumption of cannabis. The use of e-cigarettes was also considered a risk factor for starting smoking. It would be advantageous incorporating parents and teachers as role models in multidisciplinary interventions addressing smoking behavior in secondary school students.

Community views of neurodiversity, models of disability and autism intervention: Mixed methods reveal shared goals and key tensions.

What is already known about the topic? Some people support the neurodiversity movement and other people criticize it. They often disagree about what the neurodiversity movement means. Confusion about what the neurodiversity movement is makes it hard for people to agree about how best to support autistic or disabled people.What does this article add? We studied autistic and autism community members' views on the neurodiversity movement and autism interventions. Most participants supported the neurodiversity movement. Support for the neurodiversity movement was related to wanting to change society and make places more comfortable for autistic people. Neurodiversity supporters felt autistic children should choose their own intervention goals and that autistic adults should help children choose goals. Neurodiversity supporters did not think autistic people should be taught to act less autistic. Both those agreeing and disagreeing with the neurodiversity movement said that it is important to help autistic people be well. Many participants said that society causes all the difficulties disabled people experience. Yet they were somewhat open to helping people grow by teaching them useful skills and trying to cure depression and epilepsy.Implications for practice, research or policy. To better help autistic people, we should listen to participants in this study. They called for improving society, building more spaces where autistic people feel comfortable and helping autistic people lead change. They warned against teaching autistic people to hide their autism. Critics of the neurodiversity movement should read this article to better understand what neurodiversity movement supporters believe. By taking time to learn from one another, we can work together to better support autistic people.