Cochrane review: Family‐based programmes for preventing smoking by children and adolescents
Notice bibliographique
Résumé
Abstract Background There is evidence that children's decisions to smoke are influenced by family and friends. Objectives To assess the effectiveness of interventions to help family members to strengthen non‐smoking attitudes and promote non‐smoking by children and other family members. Search strategy We searched 14 electronic bibliographic databases, including the Cochrane Tobacco Addiction Group specialized register, MEDLINE, EMBASE, PsycINFO and CINAHL. We also searched unpublished material, and the reference lists of key articles. We performed both free‐text Internet searches and targeted searches of appropriate web sites, and we hand‐searched key journals not available electronically. We also consulted authors and experts in the field. The most recent search was performed in November 2007. Selection criteria Randomized controlled trials (RCTs) of interventions with children (aged 5‐12) or adolescents (aged 13‐18) and family members to deter the use of tobacco. The primary outcome was the effect of the intervention on the smoking status of children who reported no use of tobacco at baseline. Included trials had to report outcomes measured at least six months from the start of the intervention. Data collection and analysis We reviewed all potentially relevant citations and retrieved the full text to determine whether the study was an RCT and matched our inclusion criteria. Two authors independently extracted study data and assessed them for methodological quality. The studies were too limited in number and quality to undertake a formal meta‐analysis, and we present a narrative synthesis. Main results We identified 22 RCTs of family interventions to prevent smoking. We identified six RCTs in Category 1 (minimal risk of bias on all counts); ten in Category 2 (a risk of bias in one or more areas); and six in Category 3 (risks of bias in design and execution such that reliable conclusions cannot be drawn from the study). Considering the sixteen Category 1 and 2 studies together: (1) four of the nine that tested a family intervention against a control group had significant positive effects, but one showed significant negative effects; (2) one of the five RCTs that tested a family intervention against a school intervention had significant positive effects; (3) none of the seven that compared the incremental effects of a family plus a school programme to a school programme alone had significant positive effects; (4) the one RCT that tested a family tobacco intervention against a family non‐tobacco safety intervention showed no effects; and (5) the trial that used general risk reduction interventions found the group which received the parent and teen interventions had less smoking than the one that received only the teen intervention, and in the trial of CD‐ROMs to reduce alcohol use, both groups which received the alcohol reduction intervention had less smoking than the control. In neither trial was there a tobacco intervention, but tobacco outcomes were measured. For the included trials the amount of implementer training and the fidelity of implementation are related to positive outcomes, but the number of sessions is not. Authors' conclusions Some well‐executed RCTs show family interventions may prevent adolescent smoking, but RCTs which were less well executed had mostly neutral or negative results. There is thus a need for well‐designed and executed RCTs in this area. Plain Language Summary Does preventing children from starting to smoke reduce the number of people damaging their health by smoking Children and adolescents' likelihood of starting to smoke may be influenced by the behaviour of their families, and it may be possible to help family members strengthen non‐smoking attitudes and promote non‐smoking in children and other family members. Some high quality studies show that family interventions may help to prevent adolescent smoking, but less well‐conducted trials had mostly neutral or negative findings. How well the programme staff are trained and how well they deliver the programme may be related to effectiveness, but the number of sessions in the programme does not seem to make a difference.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,006 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,002 | 0,001 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».