Changes in lean mass and bone parameters in obese children participating in a family‐centered lifestyle intervention: results from a 1‐year RCT
Notice bibliographique
Résumé
During childhood, both fat and lean mass (LM) influence bone development. Lifestyle behaviors, notably diet and physical activity (PA), influence adiposity and bone development though it is unknown if an intervention that focuses on dietary and PA guidelines favorably changes LM and bone parameters. Furthermore, it is not known if increasing milk and milk products and specifically weight‐bearing PA in obese children have any additive benefits on bone. Therefore, the aim of this study is to assess the changes in LM and bone parameters assessed by dual‐energy X‐ray absorptiometry (DXA) in overweight and obese children participating in a 1‐year family‐centered lifestyle intervention. Children (6–8 y) classified as overweight or obese according to WHO body mass index‐for‐age z‐scores (BAZ) were recruited from Montréal (QC, Canada). Children were randomized to 1 of 3 groups: Standard (StnTx; 2 servings milk and alternatives/d, meet PA guidelines), Modified (ModTx; 4 servings milk and alternatives/d; emphasis on daily weight‐bearing plus meet PA guidelines) or Control (Ctrl; no intervention). Whole body (WB) DXA (Hologic Discovery APEX software version 13.3) scans were performed at baseline and 12‐months for analysis of LM, LM index (LMI), fat mass (FM) and WB bone parameters (bone mineral density (BMD), BMD z‐scores, bone mineral content (BMC)). Parents completed a 3‐day food diary to assess dietary intake; total screen hours/week was surveyed. Statistics included Pearson's correlations and repeated‐measures mixed model ANOVA with post‐hoc adjustments to test for differences and changes (Δ) among the groups for body composition and bone variables from baseline to 12‐months. Models accounted for parental education and family income. Seventy‐eight children were recruited; 73 completed the 12‐month visit. At baseline, the majority were Caucasian (81%) and classified as obese (92%, mean BAZ: 3.3±1.2) with mean WB BMD z‐scores of 2.7±1.2, WB LM of 25.8±4.1 kg and FM of 16.3±4.6 kg. Groups did not differ at baseline for body composition or bone variables. Baseline LM was strongly associated with FM (r=0.64; p<0.001). Milk and alternative intake (n=50) did not associate with LM or FM, however total screen time (n=72; mean: 6.8±3.2 h/week) was positively associated with LM (r=0.25, p=0.032). By 12‐months, all groups significantly increased LM (p<0.001) however the ΔLM was significantly less in ModTx compared to StnTx (p=0.003) and Ctrl (p<0.001). Ctrl had a greater ΔFM at 12‐months compared to ModTx (p=0.002). WB BMC increased in all groups (p<0.001), but was not significantly different among groups. Finally, WB BMD z‐scores were significantly lower at 12‐months compared to baseline in Ctrl (p=0.012), but not in the intervention groups. Overweight and obese children who participated in a 1‐year family‐centered lifestyle intervention that focused on dietary and PA guidelines resulted in reduced adiposity while also supporting bone health, specifically WB BMD z‐scores. Support or Funding Information Trial registration: ClinicalTrials.gov: NCT01290016; Supported by a contribution from the Dairy Research Cluster Initiative (Dairy Farmers of Canada, Agriculture and Agri‐Food Canada, the Canadian Dairy Network and the Canadian Dairy Commission). H.W. is supported by Canada Foundation for Innovation, and Canada Research Chairs Program. T.C. is supported by Canadian Institutes for Health Research Doctoral Research Award
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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 | 0,004 | 0,005 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,002 | 0,002 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,002 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 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 ».