Family Structure in Association with Alcohol Use Among Adolescents: A Systematic Review and Meta-analysis
Bibliographic record
Abstract
Context: It is proposed that family structure influences adolescent alcohol use; however, the findings are mixed, and no systematic review has been conducted to summarize the evidence. Objectives: We aimed to identify the association between family structures and adolescent alcohol consumption through a systematic review and meta-analysis of observational studies. Methods: PubMed, Scopus, and Google Scholar were searched until June 2017 for observational studies, which examined the relationship between family structure and adolescent alcohol use. A random-effects model was used to derive the overall odds ratio (OR) for the likelihood of alcohol use in different non-intact families compared with intact families (adolescents growing up with both biological parents). DerSimonian and Liard's random-effects model was used to conduct the meta-analysis. All analyses were performed using STATA software, version 11.2. Results: Fifty-seven articles met the eligibility criteria for the systematic review, and 29 were included in the meta-analysis. The meta-analysis revealed a significant increase in alcohol use among adolescents with non-intact families (OR = 1.27, 95% confidence interval: 1.19, 1.36) compared with adolescents with intact families in which both biological parents were present. Living with one biological parent, living in a divorced family, loss of parents, and other types of the non-intact family also significantly increased the odds of alcohol use in adolescents (P < 0.05). Conclusions: All types of the non-intact family were linked to adolescents' alcohol use. The family structure could have an essential role in reducing high-risk behaviors, including alcohol use and its consequences in adolescents.
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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 | 0.010 | 0.027 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.011 | 0.027 |
| Bibliometrics | 0.006 | 0.007 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".