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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