53 Health Outcomes of Siblings of Children with Chronic Health Conditions: A Systematic Review and Meta-Analysis
Bibliographic record
Abstract
Abstract Primary Subject area Mental Health Background Chronic childhood health conditions are known to have an impact on the well-being of family members. Parental caregivers face well-defined adverse health outcomes, though less is known about the health impacts on siblings. Objectives To assess clinical health outcomes in siblings of children with chronic health condition(s) compared to siblings of healthy children or normative data. Design/Methods We searched Ovid MEDLINE, EMBASE, the Cochrane Central Register of Controlled Trials, PsycInfo, and CINAHL through June 4, 2020. We included English-language studies that: (1) reported clinically diagnosable mental or physical health outcomes of siblings of children (0-18 years old) diagnosed with any childhood chronic health condition; (2) included a comparison group; and (3) used an experimental or observational study design. Risk of bias was assessed using the Newcastle-Ottawa Scale. Results We included 28 studies of the 9053 screened, comprising 10 cohort studies and 18 cross-sectional studies. Studies from 11 different countries reported most commonly on siblings of children with disabilities (12 studies), cancer (8 studies), or psychiatric disorders (4 studies). Siblings of children with chronic conditions had greater depression rating scale scores than their comparison groups (standardized mean difference 0.49; 95% CI 0.33-0.65; P < .001 [5 studies]) (Fig. 1), whereas anxiety scores did not differ significantly (standardized mean difference 0.24; 95% CI -0.03-0.52; P = .08 [6 studies]) (Fig. 2). Studies that reported on prevalence of psychiatric diagnoses, rather than rating scale scores, had mixed results, either indicating increased risk (3 studies) or no increased risk (4 studies) among exposed siblings. We did not meta-analyze effects for mortality (3 studies) or physical health outcomes (dental caries [1 study], traumatic brain injury [1 study], sexually transmitted infection [1 study], overweightness/obesity [1 study]) given the limited number of studies and between-study heterogeneity. Included studies were rated as high quality (12 studies) or of moderate quality (16 studies). Conclusion Siblings of children with chronic health conditions may be at an increased risk of depression. Our findings suggest the need for targeted interventions to support the psychological well-being of siblings of children with chronic health conditions.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.011 | 0.033 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.019 | 0.032 |
| Bibliometrics | 0.007 | 0.008 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".