Psychological inflexibility mediates the relationship between adverse childhood experiences and mental health outcomes

2019 ◽  
Vol 14 ◽  
pp. 82-89 ◽  
Author(s):  
Helen M. Makriyianis ◽  
Emily A. Adams ◽  
Leslie L. Lozano ◽  
Taylor A. Mooney ◽  
Chloe Morton ◽  
...  
Keyword(s):  
Mental Health ◽  
Health Outcomes ◽  
Adverse Childhood Experiences ◽  
Mental Health Outcomes ◽  
Psychological Inflexibility ◽  
Childhood Experiences ◽  
Adverse Childhood ◽  
The Relationship

scholarly journals Adverse Childhood Experiences Ontology for Mental Health Surveillance, Research, and Evaluation: Advanced Knowledge Representation and Semantic Web Techniques

10.2196/13498 ◽  
2019 ◽  
Vol 6 (5) ◽  
pp. e13498 ◽  
Author(s):  
Jon Hael Brenas ◽  
Eun Kyong Shin ◽  
Arash Shaban-Nejad
Keyword(s):  
Mental Health ◽  
Semantic Web ◽  
Knowledge Representation ◽  
Health Outcomes ◽  
Adverse Childhood Experiences ◽  
Childhood Experiences ◽  
Ontology Language ◽  
Health Community ◽  
Adverse Childhood ◽  
Advanced Knowledge

Background Adverse Childhood Experiences (ACEs), a set of negative events and processes that a person might encounter during childhood and adolescence, have been proven to be linked to increased risks of a multitude of negative health outcomes and conditions when children reach adulthood and beyond. Objective To better understand the relationship between ACEs and their relevant risk factors with associated health outcomes and to eventually design and implement preventive interventions, access to an integrated coherent dataset is needed. Therefore, we implemented a formal ontology as a resource to allow the mental health community to facilitate data integration and knowledge modeling and to improve ACEs’ surveillance and research. Methods We use advanced knowledge representation and semantic Web tools and techniques to implement the ontology. The current implementation of the ontology is expressed in the description logic ALCRIQ(D), a sublogic of Web Ontology Language (OWL 2). Results The ACEs Ontology has been implemented and made available to the mental health community and the public via the BioPortal repository. Moreover, multiple use-case scenarios have been introduced to showcase and evaluate the usability of the ontology in action. The ontology was created to be used by major actors in the ACEs community with different applications, from the diagnosis of individuals and predicting potential negative outcomes that they might encounter to the prevention of ACEs in a population and designing interventions and policies. Conclusions The ACEs Ontology provides a uniform and reusable semantic network and an integrated knowledge structure for mental health practitioners and researchers to improve ACEs’ surveillance and evaluation.

scholarly journals Adverse Childhood Experiences Ontology for Mental Health Surveillance, Research, and Evaluation: Advanced Knowledge Representation and Semantic Web Techniques (Preprint)

2019 ◽  
Author(s):  
Jon Hael Brenas ◽  
Eun Kyong Shin ◽  
Arash Shaban-Nejad
Keyword(s):  
Mental Health ◽  
Semantic Web ◽  
Knowledge Representation ◽  
Health Outcomes ◽  
Adverse Childhood Experiences ◽  
Childhood Experiences ◽  
Ontology Language ◽  
Health Community ◽  
Adverse Childhood ◽  
Advanced Knowledge

BACKGROUND Adverse Childhood Experiences (ACEs), a set of negative events and processes that a person might encounter during childhood and adolescence, have been proven to be linked to increased risks of a multitude of negative health outcomes and conditions when children reach adulthood and beyond. OBJECTIVE To better understand the relationship between ACEs and their relevant risk factors with associated health outcomes and to eventually design and implement preventive interventions, access to an integrated coherent dataset is needed. Therefore, we implemented a formal ontology as a resource to allow the mental health community to facilitate data integration and knowledge modeling and to improve ACEs’ surveillance and research. METHODS We use advanced knowledge representation and semantic Web tools and techniques to implement the ontology. The current implementation of the ontology is expressed in the description logic ALCRIQ(D), a sublogic of Web Ontology Language (OWL 2). RESULTS The ACEs Ontology has been implemented and made available to the mental health community and the public via the BioPortal repository. Moreover, multiple use-case scenarios have been introduced to showcase and evaluate the usability of the ontology in action. The ontology was created to be used by major actors in the ACEs community with different applications, from the diagnosis of individuals and predicting potential negative outcomes that they might encounter to the prevention of ACEs in a population and designing interventions and policies. CONCLUSIONS The ACEs Ontology provides a uniform and reusable semantic network and an integrated knowledge structure for mental health practitioners and researchers to improve ACEs’ surveillance and evaluation.

scholarly journals The Association of Adverse Childhood Experiences and Resilience With Health Outcomes in Adolescents: An Observational Study

2021 ◽  
Vol 8 ◽  
pp. 2333794X2098243
Author(s):  
Ashleigh Hall ◽  
Alberly Perez ◽  
Xandria West ◽  
Maryilyn Brown ◽  
Ella Kim ◽  
...  
Keyword(s):  
Health Outcome ◽  
Health Outcomes ◽  
Adverse Childhood Experiences ◽  
Poor Health ◽  
Bivariate Analysis ◽  
Childhood Experiences ◽  
Poor Health Outcome ◽  
Adverse Childhood ◽  
Obesity Hypertension ◽  
The Relationship

The relationship between Adverse childhood experiences (ACEs), resilience, and health outcomes has not been as thoroughly studied in adolescents. Adolescents completed the ACEs Questionnaire and a validated resilience measure (Child Youth Resilience Measure, or CYRM). Poor health outcome was having 1 or more: obesity, hypertension, and/or depression. 34.5% of teens had a poor health outcome, 38.6% had ACE scores of 4 or more, and resilience ranged from 45 to 84 (mean = 74.6). By univariate and bivariate analysis, ACEs (OR = 1.11, 95% CI = 1.03-1.19, P = .0039; OR = 1.08, 95% CI = 1.0-1.16, P = .045) and resilience (OR = 0.95, 95% CI = 0.92-0.98, P = .0016; OR = 0.96, 95% CI = 0.93-0.99, P = .016) were significantly associated with poor health outcome. Resilience relationship subscale was significantly associated with reduced health risk (OR = 0.85, 95%CI = 0.75-0.95, P = .005). ACEs are associated with poor health outcomes in adolescents, resilience is inversely related, and the caregiver relationship may be the driving force.

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