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Examining commonly used perceived and objective measures of fruit and vegetable access in low-income populations and their association with consumption
Haynes-Maslow, L., McGuirt, J., Trippichio, G., Armstrong-Brown, J., Ammerman, A. S., & Leone, L. A. (2020). Examining commonly used perceived and objective measures of fruit and vegetable access in low-income populations and their association with consumption. Translational Behavioral Medicine, 10(6), 1342-1349. https://doi.org/10.1093/tbm/ibaa077
Perception-based and objective food access measures are often examined as factors influencing individuals' shopping decisions and dietary habits, but the relative influence of these two factors on behaviors needs further examination. This study sought to (a) determine if perception-based and objective measures of fruit and vegetable (F&V) access were related and (b) examine perception-based and objective access measures as predictors of F&V consumption. Participants were recruited as part of a larger intervention study from 12 sites across three urban North Carolina counties. Perception-based food access measured included self-reported perceptions of convenience, variety, and quality of F&V within a neighborhood. Food outlet density was used as the objective measure. This was derived by summing the total number of geocoded convenience stores, grocery stores, supermarkets, and supercenters located within 1 road network mile of participants' home address. Associations between perception-based and objective measures were examined using Pearson's correlations, and associations of F&V access and intake were examined using linear regression models. Pearson correlations between perception-based and objective measures revealed that F&V variety was associated with supermarkets. Regression results show that perception-based barriers to F&V access were not significantly associated with intake, but supercenter density within 1 mile was significantly associated with decreased F&V intake. Common measures of perception-based and objective measures of food access may not be the best predictor of F&V intake. Understanding the relationships of these factors for lower-income populations can offer guidance for future policies and programs.