305345
Development and evaluation of a food environment survey to assess the risk of adolescent overweight in three urban environments of Kunming, China
METHODS: We developed two survey instruments (for stores and restaurants), each designed to be completed within 10 minutes. Two pairs of researchers surveyed a pre-selected 1-km stretch of street in each of three socio-demographically different neighborhoods to assess inter-rater reliability. Construct validity was assessed by comparing the food environments of the neighborhoods to cross-sectional height and weight data obtained on 575 adolescents in the corresponding regions of the city.
RESULTS: 273 food establishments (163 restaurants and 110 retail stores) were surveyed. Sit-down, take-out, and fast food restaurants accounted for 40%, 21% and 19% of all restaurants surveyed. Tobacco and alcohol shops, convenience stores and supermarkets accounted for 25%, 12% and 11%, respectively, of all stores surveyed. We found a high percentage of agreement between teams (>75%) for all categorical variables with moderate kappa scores (0.4-0.6), and no statistically significant differences between teams for any of the continuous variables. More developed inner city neighborhoods had a higher number of fast food resturants and convenience stores than surrounding neighborhoods. Adolescents who lived in the more developed inner neighborhoods also had a higher percentage of overweight, indicating well-founded construct validity.
DISCUSSION: These instruments may be useful in future systematic longitudinal assessments of the changing food environment and its health impact in China.
Learning Areas:
Biostatistics, economicsChronic disease management and prevention
Environmental health sciences
Epidemiology
Public health or related public policy
Public health or related research
Learning Objectives:
Design culturally-specific food environment surveys
Evaluate and validate food environment surveys
Assess neighborhood food environments using food environment surveys
Keyword(s): Obesity, Built Environment
Qualified on the content I am responsible for because: I jointly oversee the survey development, data collection, and lead data analysis and writing.
Any relevant financial relationships? No
I agree to comply with the American Public Health Association Conflict of Interest and Commercial Support Guidelines, and to disclose to the participants any off-label or experimental uses of a commercial product or service discussed in my presentation.