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. 2018 Apr;26 Suppl 2(Suppl 2):S35-S44.
doi: 10.1002/oby.22159.

Accumulating Data to Optimally Predict Obesity Treatment (ADOPT) Core Measures: Environmental Domain

Brian E Saelens  1   2 , S Sonia Arteaga  3 , David Berrigan  4 , Rachel M Ballard  5 , Amy A Gorin  6 , Tiffany M Powell-Wiley  7 , Charlotte Pratt  3 , Jill Reedy  4 , Shannon N Zenk  8
Affiliations

Accumulating Data to Optimally Predict Obesity Treatment (ADOPT) Core Measures: Environmental Domain

Brian E Saelens et al. Obesity (Silver Spring). 2018 Apr.

Abstract

Background: There is growing interest in how environment is related to adults' weight and activity and eating behaviors. However, little is known about whether environmental factors are related to the individual variability seen in adults' intentional weight loss or maintenance outcomes.

Objectives: The environmental domain subgroup of the Accumulating Data to Optimally Predict obesity Treatment (ADOPT) Core Measures Project sought to identify a parsimonious set of objective and perceived neighborhood and social environment constructs and corresponding measures to include in the assessment of response to adult weight-loss treatment.

Significance: Starting with the home address, the environmental domain subgroup recommended for inclusion in future weight-loss or maintenance studies constructs and measures related to walkability, perceived land use mix, food outlet accessibility (perceived and objective), perceived food availability, socioeconomics, and crime-related safety (perceived and objective) to characterize the home neighborhood environment. The subgroup also recommended constructs and measures related to social norms (perceived and objective) and perceived support to characterize an individual's social environment. The 12 neighborhood and social environment constructs and corresponding measures provide a succinct and comprehensive set to allow for more systematic examination of the impact of environment on adults' weight loss and maintenance.

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Conflict of interest statement

DISCLOSURE: All of the authors declared no conflicts of interest that are directly relevant to this work. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health (NIH) or the U.S. Government.

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