Identification of successful goal setting strategies for management of childhood obesity: results from a family- centered lifestyle intervention in children 6 to 12 years of age
Notice bibliographique
Résumé
Background: Childhood obesity has grown to epidemic proportions worldwide over the past few decades. Lifestyle interventions in childhood obesity using goal setting have shown promising results. SMART goals are Specific, Measurable, Attainable, Realistic and Timely. Objectives: This study determined if using SMART goals in a family-based lifestyle intervention was linked to reduction in adiposity and defined the nature of SMART goals that were linked to success using the constructs from the Theory of Planned Behavior (TPB) and the Ecological Model (EM). Methodology: Healthy overweight and obese children (n=100) from the McGill Youth Lifestyle Intervention with Food and Exercise Study (clinicaltrials.gov, NCT01290016) were randomized to either intervention group (INT) or control (CTL). INT received 5 SMART-based interventions with a dietitian over 6 mo. Height and weight were measured to compute body mass index-for-age z-scores (BAZ). SMART goals were classified using the TPB (attitude, subjective norm, perceived behavioral control) and the EM (individual, family). Groups were divided into “successful” (SUC) if BAZ maintained/decreased or “unsuccessful” (UNS) if BAZ increased over 6 mo. Differences among groups were tested using mixed model ANOVA and relationships between BAZ and SMART goals using Pearson’s correlations. Results: INT was 75% successful (-0.29 ± 0.22 BAZ) and 25% unsuccessful (0.29 ± 0.27 BAZ) (p<0.001). The SMART goals analysis revealed that the percentage of goals classified as subjective norm from TPB was higher in INT-SUC compared to INT-UNS (66.4 ± 15.1 % vs 57.5 ± 13.6 %, p=0.036). In INT overall, SMART goals classified as subjective norm were inversely correlated with BAZ change (r=-0.39, p=0.007). Additionally, when SMART goals were targeting the family as opposed to the individual (child), a pattern of success was observed through an inverse correlation with BAZ change (r=-0.28, p=0.055). Conclusion: We found that family-centered lifestyle interventions using SMART goals resulted in a greater proportion of successful participants compared to control. SMART goals that addressed the subjective norm concept from the TPB were correlated with favorable changes in BAZ after 6 mo. Subjective norm refers to the social pressure to perform a behavior, transmitted by those that influence an individual’s decisions. In other words, SMART goals targeting recommendations (norms) were more often associated with success. Involvement of the family also seems to have an important role to play in successful lifestyle interventions for childhood obesity.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,002 | 0,003 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 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 source (Gemma direct ou Codex distillé), 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 ».