Role of Sports Motivation and Basic Psychological Needs in the Relationship Between Child Maltreatment and Psychological Adaptation in Adolescents
Bibliographic record
Abstract
Child maltreatment poses serious consequences, while sports participation among adolescents offers a potential avenue for mitigating such consequences. This study, based on self-determination theory (SDT), examines the associations among child maltreatment, sports motivation (intrinsic and extrinsic), and satisfaction or frustration of basic psychological needs (BPNs). This study also investigated the mediating role of sports motivation in the relationship between child maltreatment and psychological adaptation. Adolescents engaged in sports were derived from the first wave of a large two-wave study (wave 1: n = 1403; wave 2: n = 618) using data on child maltreatment, intrinsic and extrinsic motivation, and satisfaction and frustration of within the sports context. Subsequently, data on psychological adaptation, including self-esteem and satisfaction with life, were collected during the second wave. Path analyses revealed satisfaction and frustration of BPNs as significant mediators in the relationship between child maltreatment and sports motivation. In addition, intrinsic motivation mediated the relationship between child maltreatment and psychological adaptation after 18 months. Specifically, the results indicated that enhancing intrinsic motivation in adolescents with a history of child maltreatment by improving satisfaction of BPNs could be an innovative intervention target.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".