Question
You are interested in identifying the relationship between access to a grocery store and the risk ofdiabetesinadultsresidinginthreetowns.Youdecidedtocollectdataontheaveragedistance of households to the nearest grocery store and
You are interested in identifying the relationship between access to a grocery store and the risk ofdiabetesinadultsresidinginthreetowns.Youdecidedtocollectdataontheaveragedistance of households to the nearest grocery store and the prevalence of diabetes for each of the towns. In Town A, residents live, on average, 1.2 miles from the nearest grocery store, and the prevalence of diabetes is 33%. In Town B, residents live, on average, 2.0 miles from the nearest grocery store, and the prevalence of diabetes is 17%. In Town C, residents live on average 0.8 miles from the nearest grocery store, and the prevalence of diabetes is 50%. Please answer the questions below to the best of yourability.
You decided to collect individual-level data from a random sample of adults from each town
Person | Distance from store | Diabetes |
A1 | 2.0 | Yes |
A2 | 0.6 | No |
A3 | 1.8 | Yes |
A4 | 1.0 | No |
A5 | 0.8 | No |
A6 | 1.4 | No |
Person | Distance from store | Diabetes |
B1 | 0.3 | No |
B2 | 0.2 | No |
B3 | 0.5 | No |
B4 | 3.0 | No |
B5 | 6.0 | Yes |
B6 | 2.0 | No |
Person | Distance from store | Diabetes |
C1 | 0.1 | No |
C2 | 0.5 | Yes |
C3 | 0.1 | No |
C4 | 0.1 | No |
C5 | 1.8 | Yes |
C6 | 2.2 | Yes |
Based on individual-level data, what conclusions can you draw about the relationship between the distance to the nearest grocery store and diabetes? Assumenosamplingvariabilityoranysourcesofbias and what issue does the case above highlight about drawing conclusions about associations using aggregate versus individual-level data?
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