Youth athletic development: aiming high while keeping it healthy, balanced and fun!
Bibliographic record
Abstract
Background Intimate partner violence is a serious problem worldwide and has long been identified as a significant health endangering factor. This study aimed to investigate the associations of intimate partner violence with alcohol abuse and mental health problems among persons with children. Methods We used population-based cross-sectional data from self-administered questionnaires collected in 2012–2013. The sample was randomly selected from the National Population Register in Finland for the Regional Health and Well-being Survey (ATH) (N = 65 000, response rate 53%). Respondents with children under the age of 18 were selected to this study (n = 6290). Associations between intimate partner violence and socio-economic factors, depression, alcohol use, and suicidal intention were analysed using logistic regression. Results Among those living with children 10.8% of men and 11.2% of women reported experiences of intimate partner violence. Experiences of violence were most prevalent in the age group of less than forty years, among those who were married or cohabited (81%) compared to single parent, and who had basic education or secondary vocational level training compared to polytechnic or higher level training. In the univariate analysis factors which were statistically significantly associated with the experience of violence were cohabited (OR 1.0), having suicidal intentions (OR = 3.24) and reporting melancholic feelings or depression during last 12 months (OR = 2.48). Those with polytechnic or higher level education had slightly smaller odds for experiencing violence than those having basic education or less secondary level education. Alcohol consumption was not associated with experience of violence in this sample. Conclusions This national survey shows the necessity to recognise intimate partner violence and its associations to alcohol use, low mood, depression and suicidal intentions. These associations should be addressed when developing health and social services and health promotion.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.017 | 0.008 |
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".