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Enregistrement W2971979365

Gender Differences in Chronic Disease Risk Behaviours and their Association with Body Mass Index: Cross-sectional and Longitudinal Multilevel Analyses Among a Large Sample of Youth.

2019· dissertation· en· W2971979365 sur OpenAlexfundaboutno aff
Nour Hammami

Notice bibliographique

RevueUWSpace (University of Waterloo) · 2019
Typedissertation
Langueen
DomaineMedicine
ThématiqueObesity, Physical Activity, Diet
Établissements canadiensnon disponible
Organismes subventionnairesUniversity of Waterloo
Mots-clésBody mass indexAssociation (psychology)Cross-sectional studyPsychologyMultilevel modelIndex (typography)Sample (material)Clinical psychologyMedicineDemographyGerontologyStatisticsInternal medicineMathematicsSociologyComputer sciencePathology
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

Obesity has become a worldwide concern due to the escalating number of individuals who have overweight or obesity. The prevalence of overweight/obesity among youth aged 12-17 years old was 37% in 2012-2013, as reported in the Canadian Health Measures Survey, affecting approximately one in four youth in Canada. The Senate of Canada released a report in 2016 which advocated for obesity to be prioritized on a federal and provincial level by calling for a National Campaign to Combat Obesity among all provinces and urging Health Canada to work with the provinces to address the 21 recommendations provided in the report. \nMany factors contribute to the high overweight/obese rates, of which personal factors play a dominant role in preventing obesity and some are modifiable. Chronic disease risk behaviours (CDRB) are associated with obesity among youth include: physical activity (PA), binge drinking behaviour, cigarette smoking, dietary habits and sedentary behaviour. Some subgroups of youth are at a disadvantage relative to their peers because they engage in poorer CDRB and have higher rates of overweight/obesity compared with their peers. For example, youth who are victims of bullying (VoB) are reported to engage in more substance use and are found to be at higher odds of overweight/obesity than their non-VoB (NVoB) peers. CDRB and overweight/obesity track from adolescence into adulthood, making adolescence an optimal phase for interventions. \nThe purpose of this dissertation was to conduct a gender-specific examination in the effect that latent classes of chronic disease risk behaviours have on Body Mass Index among youth (i) at the same time point (using repeated, cross-sectional analyses), as well (ii) as over time (using transitional, longitudinal analyses). Since youth who are VoB engage in more substance use than their peers and have higher rates of overweight/obesity, this dissertation also sought (iii) to investigate whether there were differences in the longitudinal association between consecutive bullying status and BMI among youth. Three research studies were conducted to address these three research objectives among a large sample of youth in Ontario, Canada. \nThis dissertation used data from the ‘Cohort Study on Obesity, Marijuana Use, Physical Activity, Alcohol Use, Smoking and Sedentary Behaviour’ (COMPASS) Study. COMPASS’s student questionnaire collects information on youth’s health behaviours and health outcomes. This dissertation included youth participating in the COMPASS Study during 2013-2014 (Wave 1), 2014-2015 (Wave 2) and 2015-2016 (Wave 3) from Ontario, Canada. Multilevel latent class analysis (MLCA) was used to identify chronic disease risk behaviour latent classes. To assess for gender differences, the MLCA was stratified by gender (i.e., reported for females and males separately). Gender-specific, mixed-effects regression models were used to assess the nature of the association of Body Mass Index (BMI) on the latent classes. Each of these regression models were reported two times: with BMI (as a continuous variable) and as weight status (i.e., BMI as a binary variable). \nThe first manuscript (i.e., Chapter 5) found that males were more physically active; however, they had more engagement in substance use (binge drinking, marijuana use and cigarette smoking) and had a higher prevalence of overweight/obesity relative to their female counterparts. The MLCA found that both genders have similar overall latent classes: active experimenters (ACE), inactive clean youth (INC) and inactive substance users (INSU). The repeated cross-sectional regression analyses found that youth in latent classes with substance use are associated with higher BMI and higher odds of an overweight/obese weight status among females and males. INC males were associated with lower odds of overweight/obesity relative to active males who experimented with substance use (ACE). As for females, the class with the highest proportion of youth using substances (INSU) were associated with higher odds of overweight/obesity relative to their active experimenting peers (ACE). \nThe second manuscript (i.e., Chapter 6) used the latent classes that were identified in Chapter 5, in a transitional, gender-specific, mixed-effects regression model. The gender-stratified models showed that male inactive clean youth (i.e., INC) were associated with a 0.29 kg/m2 higher (continuous) BMI (95% C.I.=0.057, 0.53) and higher odds of overweight/obesity by 72% (OR=1.72, 95% C.I.=1.2, 2.4) for weight status at follow-up, relative to active experimenters. No significant associations were detected among females. \n\tThe third manuscript (i.e., Chapter 7) assessed whether there were gender differences among VoB and NVoB in their association with BMI in a longitudinal analysis. VoB were found to engage in more physical activity and substance use than their NVoB peers. The longitudinal, transitional, gender-specific, mixed-effects models were consistent in showing that there are gender differences in the effect of bullying on BMI. Among female youth, repeated bullying was associated with a 51% increase in the odds of having overweight/obesity at follow-up (95% C.I.=1.03, 2.23). Among male youth, being a VoB at the previous wave only, was associated with a 60% increase in the odds of overweight/obesity (95% C.I.=1.11, 2.29). \nThis dissertation emphasizes the importance of gender stratification in chronic disease risk behaviour, BMI and bullying research among youth. Females and males have different factors associated with BMI as well as with changes in BMI over time. Furthermore, gender-stratification is essential since using results from the models that adjusted for gender would misinform prevention programs since they downplay the effect of the associations being studied. This research will be valued among school programs, policy-makers and other researchers engaged in youth health, as it provides evidence that school-programs and population-level initiatives are warranted that focus on substance use and bullying prevention and that encourage PA engagement among youth.

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 machine sur la base complète

Imitation des enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,004
score de la tête « metaresearch » (Gemma)0,004
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,060
Score d'incertitude au seuil0,120

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0040,004
Méta-épidémiologie (sens strict)0,0000,001
Méta-épidémiologie (sens large)0,0010,003
Bibliométrie0,0010,002
Études des sciences et des technologies0,0010,000
Communication savante0,0010,001
Science ouverte0,0010,001
Intégrité de la recherche0,0010,002
Charge utile insuffisante (le modèle a refusé de juger)0,0020,001

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.

Tête enseignante Opus0,029
Tête enseignante GPT0,270
Écart entre enseignants0,242 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations1
Publié2019
Routes d'admission2
Résumé présentoui

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