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Impact of Parental Attitude to Adolescents Who Abuse Drugs

2009· article· en· W2007517788 on OpenAlexaboutno aff
Ifeta Ličanin, Izet Mašić

Bibliographic record

VenueMedical Archives · 2009
Typearticle
Languageen
FieldMedicine
TopicSubstance Abuse Treatment and Outcomes
Canadian institutionsnot available
Fundersnot available
KeywordsQuarter (Canadian coin)Alcohol abuseRural areaSubstance abuseDemographyMedicineEnvironmental healthSuicide preventionEpidemiologyInjury preventionPsychologyPoison controlPsychiatryGeographySociology

Abstract

fetched live from OpenAlex

OBJECTIVE: Youngsters like to experiment with risky life stiles, without adequate knowledge about long-term health effects. Bosnia and Herzegovina is currently going through transition period and is a postwar society with various risk factors for drug abuse (economic, social and health factors). The main objective of the research was to show parents behavior related to drug abuse of their children, and to describe if there is parental support to such kind of behavior. METHODS: This study covers 368 adolescents: 170 males, 198 females, aged 12-17, with equal urban and rural distribution. The research tool used was Q2004 (K.B. Kelly 2000). EPI info was used for statistical analysis. Research is epidemiological and was done in urban and rural areas of Sarajevo Canton. RESULTS: Out of total number of individuals involved in the study 25.8% were found to be cigarette smokers, 39.4% consumed alcohol, and 2.2% consumed marijuana. Alcohol abuse is more present in urban rather than in rural types of communities. (56.6%; 43.4%; p = 0.0001). Of all age groups examined, alcohol abuse is most frequent in males (53.1%; 46.9%). and high school age group (69.0%; 31.0%). Passive parental support to alcohol consumers is surprisingly high (> 50%). CONCLUSION: It is determined that parents (particularly fathers) use tobacco and alcohol, and passively support similar behavior of their children. More than one quarter of parents (26.2%) are aware that their children drink alcohol. These results could be used to develop an appropriate prevention strategy. It is necessary to be aware of all relevant risk factors.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.067
Threshold uncertainty score0.398

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.012
GPT teacher head0.319
Teacher spread0.307 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations2
Published2009
Admission routes1
Has abstractyes

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