The Relationship Between Body Image Concerns and Weight-Related Behaviours of Adolescents and Emerging Adults: A Systematic Review
Bibliographic record
Abstract
This systematic review investigates evidence on the association between body image concerns and weight-related behaviours of adolescents and emerging adults. It includes peer-reviewed journal articles reporting research involving body image concerns and weight-related behaviours of adolescents and emerging adults, published between 2005–2017, and located through systematic searches from four databases. This review includes studies from 11 countries or regions: United States ( n = 13), Asia ( n = 9), Europe ( n = 8), Middle East ( n = 3), South America (Brazil; n = 3), Canada ( n = 3), Australia ( n = 1), New Zealand ( n = 1), Trinidad ( n = 1), Turkey ( n = 1) and Seychelles ( n = 1); 24 different countries ( n = 1); three Asian countries and the United States ( n = 1). Out of 46 studies included in this review, 45 studies reported a positive association between body image concerns and weight-related behaviours. Adolescents and emerging adults who misperceived their weight engaged in weight-related behaviours. Higher body dissatisfaction had a significant association in the development of eating disorders and extreme weight-loss behaviours. Body image concerns play a significant role in adolescents and emerging adults engaging in weight-related behaviours. Experimental research designs are required to determine the causality of this association. Evidence strongly suggests policy makers and public health practitioners contemplate strategies to promote positive body image and healthy weight-related behaviours among adolescents and emerging adults.
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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 | 0.007 | 0.041 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.006 | 0.007 |
| Bibliometrics | 0.009 | 0.008 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 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".