CITY'S PLANNING ERAS: DESIGNING NEIGHBOURHOODS TO PROMOTE PHYSICAL ACTIVITY IN CHILDREN IN SASKATOON
Notice bibliographique
Résumé
Objectives Smart Cities, Healthy Kids (SCHK) is a population-level intervention study examining neighbourhood planning and design on children's physical activity. The general hypothesis of this study, which takes a ‘whole-of-a-city’ approach to examining urban design, and over the length of time since the city's founding, is that city's planning eras have a varied and measurable effect on children's physical activity. Methods 1610 Saskatoon children between ages 10 and 14, from 59 residential neighbourhoods were surveyed during elementary school hours from April to June 2010 using the Modifiable Activity Questionnaire for Adolescents (MAQ-A) and a purpose-built survey. Data collected from 1610 children constituted Level 1 (or individual-level) variables. Four eras of neighbourhood designs were assessed in this study: (1) core neighbourhoods that follow a grid-pattern, developed before 1930, (2) fractured grid-pattern neighbourhoods, developed between the 1930s and mid-1960s, (3) curvilinear-pattern suburban development areas, developed between the mid-1960s through to 1998, and (4) mixed curvilinear-pattern neighbourhoods built from 1998 to date. Using two instruments for neighbourhood observation (Neighbourhood Active Living Potential and Irvine-Minnesota Inventory) we measured eight domains of neighbourhood-built environment characteristics: Activity Friendliness, Density of Destinations, Diversity of Destinations, Pedestrian Accessibility, Universal Accessibility, Safety from Crime, Safety from Traffic and Attractiveness. These eight domains and neighbourhood level social variables constituted Level 2 (or contextual-level) variables. Descriptive analysis and multilevel models were used to assess the significant individual and contextual factors associated with children's physical activity. Results The results showed that 38% of children were considered physically active enough to receive health benefits (>8 kilocalories per kilogram of body weight per day). Children are more physically active in their free play than in their registered activities. At individual level, female children are less physically active than male children; children who reported high scores of perceived walkability of neighbourhoods are more physically active than children with lower score; children of mothers with university degree are more physically active than those of mothers with high school or less education; children from high socio-economic status (SES) families were more active than children from low SES families. At the neighbourhood level, children living in neighbourhoods built in Era 3 (1966–1998) are more physically active than those living in older neighbourhoods (Era 1, 1906–1930). Children from neighbourhoods where the housing affordability was higher had higher level of physical activity than those from neighbourhoods with low housing affordability. Conclusions Slightly more children in this study reported a level of physical activity that is considered beneficial for health compared with reports from similar studies in Saskatoon in recent years. A mixture of individual and neighbourhood factors were significantly associated with physical activity intensity. Importantly, neighbourhood-built environment, as represented by the neighbourhood design eras, were independently associated with physical activity intensity. Contrary to expectations, children who lived in neighbourhoods that were less dense with curvilinear road network patterns were more intensely physically active compared with more dense, grid-pattern neighbourhoods. Traffic and social safety are likely strong mitigating factors that promotes children's physical activity. Further research is necessary to parse out in detail the complex relationships involved in built environment and physical activity in children.
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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 | 0,001 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,001 | 0,002 |
| Intégrité de la recherche | 0,000 | 0,000 |
| 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 ».