Table 2.
Summary of eight main quality concerns, n = 71 studies
| N |
% |
|
|---|---|---|
| Exposure and outcome assessment | ||
| Height and weight self-reported | 34 | 47.9 |
| Food outlets not validated in person | 62 | 87.3 |
| Exposure not based on participants' address1 | 33 | 46.5 |
| Design | ||
| Limited to obese participants or those with chronic conditions2 | 4 | 5.6 |
| Does not account for neighborhood self-selection3 | 65 | 91.5 |
| Analysis | ||
| Controls for variables on the causal pathway4 | 6 | 8.5 |
| Does not account for multilevel data5 | 15 | 12.7 |
| Does not control for age, race, sex, SES | 24 | 33.8 |
| Summary | ||
| Number of studies with 0 or 1 flaws | 1 | 1.4 |
| Number of studies with 2 or 3 flaws | 40 | 56.3 |
| Number of studies with >3 flaws | 30 | 42.3 |
Studies that define exposure to food outlets based on neighborhoods or administrative units such as census tracts or zip codes
Participants are either obese or have diseases related to obesity, suggesting the potential for selection bias
Study does not account for neighborhood self-selection bias through either randomization, a longitudinal design combined with fixed effects regression, or causal inference methods
Includes controlling for or limiting analyses to those who use the food outlet in question (ie. supermarket shoppers) or controlling for diet.
Study does not use hierarchical modeling strategies, account for the clustering via adjusted standard errors, or demonstrate that clustering is limited in cases where neighborhood variables are used.