Understanding the behavioural determinants of active travel among older adults: A mixed methods study
Notice bibliographique
Résumé
Active travel is an accessible form of physical activity, associated with physical and mental health benefits, particularly for older adults. This study aimed to identify the behavioural determinants that significantly impact older adults’ engagement in active travel as well as how and why these behavioural determinants occur. This study employed an explanatory sequential mixed methods design informed by the Theoretical Domains Framework (TDF). The study focused on older adults in Scarborough, Canada. In the quantitative phase, a TDF-informed survey was distributed among Scarborough older adults and analyzed using descriptive statistics, Chi-squared tests, and generalized linear models. TDF determinants that significantly impacted older adult participants in active travel were identified. The qualitative phase followed up with select survey participants about their experiences with these TDF determinants. Semi-structured interviews were conducted, and data was analyzed using thematic codebook analysis. To integrate the quantitative and quantitative results, data were interpreted and integrated using a joint display matrix. The survey results suggest that the TDF domains of motivation (i.e., feeling inspired to active travel) and skill (i.e., having the aptitude to active travel) were highly predictive of active travel behaviour among older adults in Scarborough, Canada. Beyond the TDF, the likelihood of active travel increased if participants reported being encouraged and satisfied with their health, fitness, exercise, and well-being in general. The interview results suggest that fostering motivation and skill require a network of interventions that address multiple TDF domains such as promoting action planning, creating commitment, building social connectedness, increasing awareness of active travel options, and building emotional and physical safety. By integrating the quantitative and qualitative results, three overarching themes were presented about older adults’ needs to engage in active travel: building reassurance (i.e., putting safety first); building meaningfulness (i.e., creating joy, fulfillment, and purpose); and building relatedness (i.e., creating awareness and connection). This study suggests several important implications for future research and policy. The results of this study provide evidence to support investment in both built environment improvements (e.g., safer intersections, bike lanes, lower vehicle speed limits, public transit subsidies) as well as tailored activities to promote active travel (e.g., public awareness campaigns, skill development activities, organized walks). The mixed methods study design employed in this study in conjunction with a novel application of the TDF allowed for a more thorough understanding of behavioural determinants of active travel among older adults. • Reassurance, meaningfulness, and relatedness are overarching themes in older adults' active travel (AT). • Health satisfaction, motivation and skill may facilitate AT among older adults. • Building AT motivation and skill requires fostering action planning, commitment, social connectedness, awareness, safety. • Combining a mixed-methods study design with the TDF allowed for thorough understanding of behavioural determinants of AT.
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 | 0,005 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,001 |
| 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 ».