Keywords
positive childhood experiences, mental health, adult psychiatric disorder
Mental and substance use disorders are the leading cause of disability among young people worldwide. Early life environments and experiences have a significant influence on development with long-lasting implications for both physical and mental health. While the harmful effects of childhood adversity are well-documented, positive childhood experiences are less well-established and the degree of association with later mental health outcomes is currently undefined. The proposed systematic review will therefore examine the literature exploring associations between exposure to positive childhood experiences and the development of psychiatric disorder or symptoms in adulthood.
Studies examining associations between exposure to positive childhood experiences and risk of adult psychiatric disorder or symptoms will be systematically identified by searching Embase, APA PsycInfo, MEDLINE, and Scopus. Customised search strategies will be built for each database by combining key search terms relating to inclusion criteria. No restrictions on publication date will be applied, however searches will be restricted to the English language. Provided data are sufficient, a random-effects model at the 0.05 level of significance will be used to pool quantitative effect estimates. If meta-analysis is not possible, results will be summarised in tables and reported narratively. The Joanna Briggs Institute Critical Appraisal Checklist for Cohort Studies will be used for quality assessment of included studies and the overall strength of the body of evidence will be assessed using the Grading of Recommendations Assessment, Development, and Evaluation framework. Heterogeneity between included studies will be explored through visual inspection of forest plots and by assessing the I2 statistic. Reporting of this protocol has been guided by the standards of the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Protocols Statement.
Only published data will be used for this review therefore ethical approval is not required. Findings will be disseminated in a scientific peer-reviewed journal and results presented at conferences.
positive childhood experiences, mental health, adult psychiatric disorder
Mental and substance use disorders are the leading cause of disability among young people worldwide accounting for a quarter of years lost due to disability (YLDs) between 0 and 24 years of age1. Since young people make up 41% of the global population, mental wellbeing among this age group is of significant public health concern2. While the developmental origins of mental disorders are complex and varied, both nature and nurture are known to play a role3. Early life environments, including positive and negative childhood experiences, are particularly formative and provide the bedrock for development over the life course4,5. Research showing the detrimental influence of childhood adversity on adult physical and mental health spans over two decades with the concept of adverse childhood experiences (ACEs) first proposed by Felitti and colleague’s (1998) seminal study6. Traumatic events experienced before the age of 18, such as neglect, physical, emotional or sexual abuse, family dysfunction and loss of a parent, are some well-known examples of ACEs7.
Less is known about positive childhood experiences (PCEs)8, although interest in and research on PCEs, has grown in recent years9. PCEs, also known as advantageous or benevolent childhood experiences10, have been described as protective or promotive factors which contribute to healthy development such as having a secure attachment with at least one parent or adult, living in a safe home environment, developing skills and talents through physical activities and hobbies, and having family routines11. There is a considerable gap in the literature regarding studies which investigate the beneficial effects of PCEs and their ability to protect against the development of psychiatric disorder. To date, one study12 has shown that PCEs reduced the risk for depression, with the highest exposure group having 72% lower odds of developing depression compared to the lowest exposure group after controlling for ACEs.
Studies which investigate the aetiology of adult psychiatric disorders typically present in the form of deficit models and often focus on the effects of negative experiences in childhood. While understanding the harmful developmental origins of psychiatric disorders and symptoms is crucial for prevention, early intervention, and effective treatment, avoiding childhood adversity is not always feasible. Positive childhood experiences which foster resilience and may ameliorate the effects of ACEs offer a more accessible means for early intervention and prevention strategies. To target interventions appropriately, more evidence is needed on the strength, nature, and direction of associations between different PCEs and adult psychiatric disorders or symptoms. In synthesising the literature, we hope to provide this essential information regarding the preventive potential of PCEs for future adverse mental health outcomes.
The primary objective of this study is to conduct a systematic review and meta-analysis of published observational studies examining associations between exposure to PCEs within the first 18 years of life and risk of developing psychiatric disorder or symptoms in adulthood.
If feasible, the secondary objectives are to investigate possible differences between sex, age at exposure, and type of PCEs through subgroup analysis.
The proposed review will seek to address the following research questions:
This protocol is reported in accordance with the Preferred Reporting Items for Systematic Review and Meta-Analysis Protocols (PRISMA-P) Statement13 and has been registered on PROSPERO under registration number CRD42023482969.
Studies will be considered eligible for inclusion in accordance with the following criteria:
Prospective or retrospective cohort studies investigating associations between exposure to PCEs and development of psychiatric disorder (i.e., anxiety and mood, including major depressive, bipolar and psychotic disorders) or symptoms in adulthood will be eligible.
Exposure to positive childhood experiences (one safe caregiver, friends, comforting beliefs, school enjoyment, a caring teacher, good neighbours, an adult mentor, opportunities, positive self-image, home routines, community traditions, spiritual beliefs, education, school belonging, skills development, household safety, physical activity, and hobbies), within the first 18 years of life (≤ 18 years of age) and measured prior to the development of the specified outcome(s).
We will compare risk for those who have had PCE exposure for psychiatric outcomes compared to risk in the unexposed population group.
A clinical diagnosis of anxiety disorder, mood disorder, including major depressive disorder, bipolar disorder, and psychotic disorder according to Diagnostic and Statistical Manual of Mental Disorders (DSM) or International Classification of Diseases (ICD) criteria or measurement of their symptoms using a validated instrument in adulthood (> 18 years of age).
Sources which do not report on or include data analysis such as review articles, book chapters or conference papers will not be eligible, nor will studies recording ‘lifetime’ diagnosis in adulthood, studies using clinical high-risk samples or studies examining the effect of PCEs on outcomes in childhood (measured before the age of 18).
Electronic literature searches of Embase (Elsevier platform), APA PsycInfo (EBSCO platform), MEDLINE (Ovid platform), and Scopus databases from inception will be systematically conducted to identify eligible studies. Search strategies will include a combination of search terms relating to exposure (e.g., positive childhood experiences), outcome (e.g., psychiatric disorder or symptoms) and study design (e.g., longitudinal) inclusion criteria. The search strategy has been developed with and validated by a librarian in the Royal College of Surgeons in Ireland (RCSI) and the full search strategy for MEDLINE is available on figshare, [https://doi.org/10.6084/m9.figshare.24551893.v1]14. Full text review will be limited to peer-reviewed articles, theses, and dissertations. Authors will be emailed to request full-text articles where the full-text is not available. Database searches will be re-run before the final analysis to check for any further eligible studies.
Published reviews in the field as well as reference lists of included articles will be manually hand-searched to identify any additional studies.
One reviewer will execute the search strategy, and then import, manage, and delete duplicate records using Covidence software (https://www.covidence.org/). Two reviewers will independently screen the titles and abstracts of identified studies based on predefined screening criteria using Covidence. Any conflicts will be discussed with the assistance of a third reviewer until consensus is reached. For abstracts failing to provide sufficient information for exclusion, full-text manuscripts will be obtained and reviewed. Final inclusions will be decided based on independent full-text review by two reviewers, and agreement with a third reviewer in instances of conflict. The selection process and reasons for exclusion based on full-text review will be reported in a PRISMA flow chart.
A tailormade data extraction form will be piloted by two independent reviewers and any discrepancies or adjustments discussed and decided within the wider research team. One reviewer will extract predefined data items relating to the study objectives from each included study using the final data extraction form. A second reviewer will independently check the extracted data.
Data items. Proposed data items to be extracted from all included studies include:
Citation details: primary author, year of publication, journal
Study details: study design, study period, study aims/objectives, study setting/country, dataset used
Sample characteristics: sample size, sex (proportions), demographic details
Exposure information: type of exposure(s), exposure assessment method, timing of exposure
Outcome information: type of outcome(s), outcome assessment method, age at outcome assessment
Measures of effect information: effect estimate and corresponding 95% confidence interval (CI) or metrics which can be used to calculate an effect size, direction of association, adjustments
Details on mediators, moderators, and confounders
Any disagreements will be identified and discussed with a third reviewer until consensus.
The quality of included studies will be assessed using the Joanna Briggs Institute (JBI) Critical Appraisal Checklist for Cohort Studies15. Heterogeneity between included studies will be explored through visual inspection of forest plots and by assessing the I2 statistic. Potential sources of heterogeneity may include study setting, study sample, and outcome measures and will be investigated using meta-regression where necessary. Risk of bias will be assessed using sensitivity analyses and through visual examination of funnel plots. The Grading of Recommendations Assessment, Development, and Evaluation (GRADE) framework will be used to assess the overall strength of the body of evidence16.
Patient and public involvement was not elicited in developing this study protocol.
Conducting Systematic Reviews and Meta-Analyses of Observational Studies of Etiology (COSMOS-E)17 guidance will be followed when performing the systematic review. Reporting of the systematic review will be guided by the standards of the Preferred Reporting Items for Systematic Review and Meta-Analysis (PRISMA) Statement18.
A description of included studies and their methodological quality will be presented graphically (tables/figures) and key findings reported narratively in text.
Using prospective and retrospective data collated from cohort studies, we intend to meta-analyse the robustness of the relationship between exposure to PCEs and adult psychiatric disorder or symptoms. Both significant and non-significant associations between PCEs and outcomes will be reported. Quantitative synthesis of effect estimates will be considered if there is sufficient overlap in the definition of exposures and outcomes reported and based on an examination of risk of bias assessment.
Given the expected diversity in sample and study characteristics, we anticipate performing a meta-analysis using random-effects statistical models. Where possible, pooled ratios and their corresponding 95% CIs for outcome/diagnosis data will be calculated and reported. If a meta-analysis is not be possible, results will be summarised and reported narratively. If sufficient data are available, subgroup analyses will be conducted for sex, age at exposure, and type of PCEs.
As this study will only use published data, ethical approval is not required. Evidence on the association between exposure to positive childhood experiences and development of psychiatric disorder or symptoms in adulthood will be generated by this study. Findings will be disseminated in a scientific peer-reviewed journal and results presented at conferences.
Paucity of data might prevent the pooling of effect estimates and planned subgroup analyses. We will cluster outcomes as ‘any psychiatric disorder’ and perform analyses on specific PCEs if data are limited. Additionally, we will cluster individual PCEs according to subscale categories as outlined in the Child and Youth Resilience Measure (CYRM-R)19 if necessary.
Any protocol amendments prior to or during conduct of the review will be documented in tabular format along with version history. All deviations will be described in the final review.
The literature search has been executed and title and abstract screening is in process at the time of this protocol publication.
Figshare: PRISMA-P checklist for “The impact of positive childhood experiences on adult psychiatric disorder and symptoms: Protocol for a systematic review and meta-analysis of longitudinal cohort studies”, https://doi.org/10.6084/m9.figshare.24553159.v120.
Data are available under the terms of the Creative Commons Attribution 4.0 International license (CC-BY 4.0).
Lisa H Telford: Project administration, writing – original draft preparation, writing – review & editing
Colm Healy: Supervision, Writing – review & editing
Éilis J O’Reilly: Supervision, Writing – review & editing
Mary C Clarke: Conceptualisation, project administration, supervision, writing – review & editing
We wish to thank Mr Killian Walsh from the RCSI library for assisting with the development of the search strategy for this study protocol.
Is the rationale for, and objectives of, the study clearly described?
Partly
Is the study design appropriate for the research question?
Partly
Are sufficient details of the methods provided to allow replication by others?
No
Are the datasets clearly presented in a useable and accessible format?
Not applicable
Competing Interests: No competing interests were disclosed.
Reviewer Expertise: Early life impacts on lifelong health, especially positive and adverse childhood experiences, social determinants and larger contextual factors. Intervention studies on early identification and mitigation of risk as well as proactive health promotion and positive health development. Systems transformation, quality improvement and policy research associated with these topics
Is the rationale for, and objectives of, the study clearly described?
Yes
Is the study design appropriate for the research question?
Yes
Are sufficient details of the methods provided to allow replication by others?
Yes
Are the datasets clearly presented in a useable and accessible format?
Not applicable
Competing Interests: No competing interests were disclosed.
Reviewer Expertise: Clinical Psychology, mental health, evidence synthesis
Alongside their report, reviewers assign a status to the article:
Invited Reviewers | ||
---|---|---|
1 | 2 | |
Version 1 18 Apr 24 |
read | read |
Provide sufficient details of any financial or non-financial competing interests to enable users to assess whether your comments might lead a reasonable person to question your impartiality. Consider the following examples, but note that this is not an exhaustive list:
Sign up for content alerts and receive a weekly or monthly email with all newly published articles
Register with HRB Open Research
Already registered? Sign in
Submission to HRB Open Research is open to all HRB grantholders or people working on a HRB-funded/co-funded grant on or since 1 January 2017. Sign up for information about developments, publishing and publications from HRB Open Research.
We'll keep you updated on any major new updates to HRB Open Research
The email address should be the one you originally registered with F1000.
You registered with F1000 via Google, so we cannot reset your password.
To sign in, please click here.
If you still need help with your Google account password, please click here.
You registered with F1000 via Facebook, so we cannot reset your password.
To sign in, please click here.
If you still need help with your Facebook account password, please click here.
If your email address is registered with us, we will email you instructions to reset your password.
If you think you should have received this email but it has not arrived, please check your spam filters and/or contact for further assistance.
Comments on this article Comments (0)