Dataset Information

Resilience and mental health in children and adolescents: an update of the recent literature and future directions.

ABSTRACT:

Purpose of review

In order to promote optimal development of children and adolescents at risk for psychiatric disorders, a better understanding of the concept resilience is crucial. Here, we provide an overview of recent work on clinical and epidemiological correlates of resilience and mental health in children and adolescents.

Recent findings

Our systematic literature search revealed 25 studies that unanimously show that higher levels of resilience are related to fewer mental health problems, despite the heterogeneity of study populations and instruments. Correlates of resilience included multisystem factors, such as social, cultural, family and individual aspects, which is in line with the multisystem approach as described by recent resilience theories. Longitudinal studies are scarce but confirm the dynamical character of resilience and mental health. The application of longitudinal studies and innovative measurement techniques will improve our understanding on the cascade effects of stressors on resilience and mental health outcomes.

Summary

Resilience is strongly associated with mental health in children and adolescents and deserves a more prominent role in research, prevention programs and routine clinical care. Including social, cultural and family context in the evaluation of resilience is of great value, as this can identify targets for early and preventive interventions.

SUBMITTER: Mesman E

PROVIDER: S-EPMC8500371 | biostudies-literature |

REPOSITORIES: biostudies-literature

ACCESS DATA

Similar Datasets

Project description:BACKGROUND:A new generation of user-centric information systems is emerging in health care as patient health record (PHR) systems. These systems create a platform supporting the new vision of health services that empowers patients and enables patient-provider communication, with the goal of improving health outcomes and reducing costs. This evolution has generated new sets of data and capabilities, providing opportunities and challenges at the user, system, and industry levels. OBJECTIVE:The objective of our study was to assess PHR data types and functionalities through a review of the literature to inform the health care informatics community, and to provide recommendations for PHR design, research, and practice. METHODS:We conducted a review of the literature to assess PHR data types and functionalities. We searched PubMed, Embase, and MEDLINE databases from 1966 to 2015 for studies of PHRs, resulting in 1822 articles, from which we selected a total of 106 articles for a detailed review of PHR data content. RESULTS:We present several key findings related to the scope and functionalities in PHR systems. We also present a functional taxonomy and chronological analysis of PHR data types and functionalities, to improve understanding and provide insights for future directions. Functional taxonomy analysis of the extracted data revealed the presence of new PHR data sources such as tracking devices and data types such as time-series data. Chronological data analysis showed an evolution of PHR system functionalities over time, from simple data access to data modification and, more recently, automated assessment, prediction, and recommendation. CONCLUSIONS:Efforts are needed to improve (1) PHR data quality through patient-centered user interface design and standardized patient-generated data guidelines, (2) data integrity through consolidation of various types and sources, (3) PHR functionality through application of new data analytics methods, and (4) metrics to evaluate clinical outcomes associated with automated PHR system use, and costs associated with PHR data storage and analytics.