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Table 3 Average adjusted predictions (AAPs) for different Metropolitan Status Codes (MSCODEs) and Average marginal effects (AMEs) of MSCODE 1, 2, 3 vs. 5

From: Impact of rurality on diabetes screening in the US

Parameters Had a test for high blood sugar or diabetes in the past 3 years
  Estimate (%) 95% Conf. Interval p-value
   Lower Upper  
Metropolitan Status Code Average Adjusted Predictions (AAPs)
In the center city of an MSA (MSCODE 1) – urban 70.47 70.04 70.91 < 0.0001
Outside the center city of an MSA but inside the county containing the center city (MSCODE 2) – suburban 69.31 68.73 69.89 < 0.0001
Inside a suburban county of the MSA (MSCODE 3) – suburban 69.05 68.45 69.66 < 0.0001
Not in an MSA (MSCODE 5) – rural 70.27 69.81 70.73 < 0.0001
Metropolitan Status Code Average Marginal Effects (AMEs) (ref: Not in an MSA (MSCODE 5) – rural)
In the center city of an MSA (MSCODE 1) – urban 0.20 −0.44 0.84 0.534
Outside the center city of an MSA but inside the county containing the center city (MSCODE 2) – suburban −0.96 −1.71 −0.22 0.011
Inside a suburban county of the MSA (MSCODE 3) – suburban −1.22 −1.98 −0.46 0.002
  1. AAPs are a type of marginal probability that attempt to control for the other sociodemographic, clinical, and health seeking behavioral factors by considering a hypothetical respondent population with no variation in these factors calculated [39, 40]
  2. AMEs are the differences in AAPs