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24-Hour Movement Guidelines and Cardiorespiratory Fitness in Relation to Cardiovascular Disease Risk Factors in Adolescents from Saudi Arabia

2023· dissertation· en· W7010167706 sur OpenAlex

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Notice bibliographique

RevueOpen Research Exeter (University of Exeter) · 2023
Typedissertation
Langueen
DomaineMedicine
ThématiqueObesity, Physical Activity, Diet
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésCardiorespiratory fitnessContext (archaeology)DiseaseRecreationPhysical activityRisk factorPublic healthEpidemiology
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

Physical activity in the form of moderate-to-vigorous physical activity (MVPA), sedentary behaviour in the form of recreational screen time (ST), and sleep, are individually associated with cardiovascular disease (CVD) risk factors in adolescents. Commonly, researchers investigate these three movement behaviours in relation to CVD risk factors in isolation. However, after the launch of the Canadian 24-Hour Movement Guidelines for children and youth, there have been calls to integrate all three 24-hour behaviours (PA, ST, & sleep). Furthermore, a scientific statement from the American Heart Association highlights the importance of cardiorespiratory fitness (CRF) as a measurement for health screening in children and adolescents as CRF is a strong predictor of CVD risk. Previous studies have individually explored how the 24-hour movement guidelines or CRF are associated with CVD risk factors in adolescents; however, which of the two (24-hour movement guidelines or CRF) is more strongly associated with CVD risk factors in adolescents is unknown. Currently, most studies have been conducted in North America and Europe, with the Middle East neglected, including Saudi Arabia, which has a very different lifestyle, environment, climate, school system, and culture compared to North America and Europe. Therefore, to address this gap in the literature in the context of Saudi Arabia, the studies included in this thesis aimed to investigate the prevalence of 24-hour movement guidelines and CRF and their relationship with CVD risk factors in adolescents from Saudi Arabia aged 12–15 years old. Chapter 4 narratively reviewed movement guidelines and CRF in relation to CVD risk factors in children and adolescents from the Gulf Cooperation Council Countries, which indicated gaps in the literature investigating the 24-hour movement guidelines. In addition, Chapter 4 highlighted that there is poor evidence for an association between single movement guidelines and CRF with multiple CVD risk factors; most studies have only examined associations with weight status. Chapter 5 examined the reliability and validity of using the Global School-Based Student Health Survey (GSHS) to assess the 24-hour movement guidelines in (n = 120; 50% females) adolescents aged 12–15 years old, from Saudi Arabia and found acceptable reliability and validity. In Chapter 6, the GSHS was used to examine the prevalence of the 24-hour movement guidelines and their associations with overweight/obesity in a sample of (n = 4224; 52% females) participants aged 12–15 years old. The results indicated that only 2.7% achieved the recommended 24-hour movement guidelines and highlighted weak, non-significant associations with the risk of overweight/obesity. In Chapter 7 a subsample of (n = 120; 50% females) participants aged 12–15 years old from the study in Chapter 6 underwent a 24-hour movement guidelines assessment using GENEActiv accelerometers (for MVPA and sleep) and the GSHS (for ST). In addition, CRF was assessed using the Progressive Aerobic Cardiovascular Endurance Run test, and fasting blood samples, blood pressure, and anthropometrics were collected. None of the adolescents in this subsample met all three of the 24-hour movement guidelines, and there were no favourable significant associations with individual or clustered CVD risk factors. In addition, few males (16%) and almost half of the female (46.3%) participants had a healthy CRF. However, in males only, having a CRF was significantly and negatively associated with waist circumference (WC) and clustered CVD risk. Collectively, the results presented in this PhD thesis contribute to enhancing the literature in four ways. Firstly, it demonstrates that there is a lack of studies on the 24-hour movement guidelines and CRF in relation to CVD risk factors for adolescents from the Gulf Cooperation Council countries. Secondly, it is the first study to examine a questionnaire for its reliability and validity to measure the 24-hour movement guidelines, which found an acceptable reliability and validity. Thirdly, it shows that via a questionnaire few adolescents (2.7%) from Saudi Arabia are meeting the 24-hour movement guidelines, which is not significantly associated with being at risk of overweight/obesity. Lastly, it shows that when using device-based accelerometry, none of the adolescents from Saudi Arabia are meeting the 24-hour movement guidelines, which is not significantly associated with individual or clustered CVD risk factors profiles in both sexes. Moreover, healthy CRF was not significantly associated with individual or clustered CVD risk factors in females, while in males, healthy CRF was only significantly and inversely associated with WC and clustered CVD risk factors. Based on the above findings, it is suggested that 24-hour movement guidelines are not favourable strongly associated with individual or clustered CVD risk factors in adolescents of both sexes from Saudi Arabia. In addition, in females it appears that there are no significant associations between CRF and individual or clustered CVD risk factors. Initiatives should be developed to encourage male adolescents from Saudi Arabia aged 12–15 years old to achieve a healthy CRF to reduce the risk of WC and clustered CVD risk factors. However, future longitudinal studies with larger sample sizes would enable further insight into the associations between 24-hour movement guidelines and CRF in relation to CVD risk factors in adolescents from Saudi Arabia and should provide specific recommendations for both sexes.

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.

Prédiction distillée sur la base complète

Imitation des enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,002
score de la tête « metaresearch » (Gemma)0,001
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict)
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 enseignants0,045
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

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

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.

Tête enseignante Opus0,098
Tête enseignante GPT0,348
Écart entre enseignants0,250 · 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