@article {4441, title = {The role of urban design in childhood obesity: A case study in Lisbon, Portugal}, journal = {Am J Hum Biol}, volume = {31}, number = {3}, year = {2019}, note = {Pereira, Margarida
Nogueira, Helena
Padez, Cristina
eng
SFRH/BD/133140/2017/Foundation for the Science and Technologies/International
PTDC/DTP-SAP/1520/2014/Foundation for the Science and Technologies/International
Research Support, Non-U.S. Gov{\textquoteright}t
2019/03/15
Am J Hum Biol. 2019 May;31(3):e23220. doi: 10.1002/ajhb.23220. Epub 2019 Mar 14.}, month = {May}, pages = {e23220}, edition = {20190314}, abstract = {OBJECTIVE: We hypothesize that physical features of the urban environment might enhance or prevent childhood obesity. Thus, this study{\textquoteright}s main goal was to verify if there is an association between the neighborhood urban design and childhood obesity-independent of well-known childhood obesity determinants, such as, father{\textquoteright}s level of schooling (as a proxy for socioeconomic status), and parent{\textquoteright}s weight status. METHODS: This study classifies neighborhoods according to land use and building features using hierarchical clusters analysis and examines their association with childhood obesity through logistic regression models. RESULTS: Four clusters resulted from the analysis: Cluster 1 represents areas with older buildings and mixed land use, cluster 2 is an area with small rented buildings and urban areas, cluster 3 comprises newer buildings with parking and urban green space, and cluster 4 is a forest area. Living in cluster 3 protects from childhood obesity, even when adjusting for father{\textquoteright}s level of schooling or parent{\textquoteright}s weight status. CONCLUSIONS: There are distinct urban configurations in Lisbon{\textquoteright}s municipality and children who live in Cluster 3 (more recent and greener neighborhoods) seem to be protected from obesity. Therefore, public policy should focus on healthy urban planning at the neighborhood level, to promote positive impacts on peoples{\textquoteright} health.}, keywords = {Built Environment/*statistics \& numerical data, Child, Child, Preschool, Cities, Female, Humans, Male, Pediatric Obesity/*etiology, Portugal, Residence Characteristics/*statistics \& numerical data}, isbn = {1520-6300 (Electronic)
1042-0533 (Linking)}, author = {Pereira, M. and Nogueira, H. and Padez, C.} }