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1.
Int J Obes (Lond) ; 34(8): 1275-83, 2010 Aug.
Artigo em Inglês | MEDLINE | ID: mdl-20157324

RESUMO

OBJECTIVE: To undertake a 6-year longitudinal investigation of the relationship between the built environment (perceived and objectively measured) and change in body mass index (BMI). Specifically, this research examined whether change in BMI was predicted by objectively measured neighborhood walkability and socioeconomic status (SES), and perceived neighborhood characteristics (for example, crime, traffic and interesting things to look at) in addition to other factors such as age, gender, education, physical activity, fruit and vegetable consumption and smoking. DESIGN: Longitudinal study. SUBJECTS: 500 adults who provided complete data in 2002 and 2008 and who did not move over the course of the study (47.8% female; age in 2002: 18-90 years). MEASUREMENTS: Telephone surveys in 2002 and 2008 measuring perceptions of their neighborhood environment and demographic factors. Objective measures of neighborhood characteristics were calculated using census data and geographical information systems in 2006. RESULTS: Age, neighborhood SES and perceived traffic were significantly related to increased BMI over the 6 years. Younger participants and those in lower SES neighborhoods were more likely to have increased BMI. Agreement with the statement that traffic made it difficult to walk also predicted increased BMI. CONCLUSION: This study adds to the literature to show that BMI increased in low SES neighborhoods. Although more research is needed to fully understand how neighborhood SES contributes to obesity, it is without question that individuals in socially disadvantaged neighborhoods face more barriers to health than their wealthier counterparts. This study also calls into question the relationship between walkability and changes in BMI and emphasizes the necessity of longitudinal data rather than relying on cross-sectional research.


Assuntos
Arquitetura , Obesidade/epidemiologia , Caminhada/fisiologia , Adolescente , Adulto , Idoso , Idoso de 80 Anos ou mais , Índice de Massa Corporal , Canadá/epidemiologia , Estudos Transversais , Feminino , Comportamentos Relacionados com a Saúde , Humanos , Estudos Longitudinais , Masculino , Pessoa de Meia-Idade , Obesidade/psicologia , Fatores Socioeconômicos , Inquéritos e Questionários , Adulto Jovem
2.
Health Place ; 14(1): 2-14, 2008 Mar.
Artigo em Inglês | MEDLINE | ID: mdl-17498999

RESUMO

The purposes of this study were to examine perceptions of places to play and be physically active among children from two different urban neighborhoods, and evaluate these perceptions for age-related developmental differences. One hundred and sixty-eight children from grades K-6 (aged 6-12 years old) completed mental maps depicting places where they could play and be physically active. The children were recruited from schools in two neighborhoods-one a high-walkability (H-W) grid-style neighborhood, the other a low-walkability (L-W) lollipop-style (i.e., cul-de-sacs) neighborhood. Analysis revealed that children in the H-W neighborhood depicted more active transportation and less non-active transportation than children in the L-W neighborhood. Children in the lowest grades (K-2) in the L-W neighborhood depicted more play in the home/yard environment than the oldest children, more good weather image events than children in Grades 3-6, and less play outside the home/yard environment than children in Grades 3 and 4. In the H-W neighborhood, the youngest children (K-2) depicted significantly less play in the home/yard environment and less play outside the home/yard environment than older children (Grades 3-6). Thus, both the type of urban neighborhood and children's age moderated perceptions of places to play and be physically active.


Assuntos
Planejamento Ambiental , Atividade Motora , Percepção , Jogos e Brinquedos/psicologia , Fatores Etários , Alberta , Análise de Variância , Arte , Criança , Sistemas de Informação Geográfica , Humanos , Mapas como Assunto , Características de Residência , Fatores Socioeconômicos , Saúde da População Urbana
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