Table 1 GP and SP distribution model variables and specifications (Source: Authors’ work)

GP Model Variables

  Intercept

2.6046

0.0100

(2.5850, 2.6250)

< 0.001

  Age adjusted ACG risk score

-0.9575

0.0470

(-1.0490, -0.8660)

< 0.001

0.0002

  Age

0.1942

0.0070

(0.1800, 0.2080)

< 0.001

0.0003

  Female

-0.0057

0.0030

(-0.0120, 0.0001)

0.0540

0.0000

  Black

-0.1969

0.0100

(-0.2160, -0.1770)

< 0.001

0.0504

  White

0.7650

0.0100

(0.7450, 0.7850)

< 0.001

  Coloured

0.7928

0.0110

(0.7710, 0.8140)

< 0.001

  Indian/Asian

1.9249

0.0120

(1.9010, 1.9490)

< 0.001

  5 km Neighbour density

4.5802

0.0070

(4.5660, 4.5940)

< 0.001

0.1377

R² = 0.184, adjusted R² = 0.184

  SP Model Variables

  Intercept

0.9000

0.0160

(0.8690, 0.9310)

< 0.001

  Age adjusted ACG risk score

-1.8091

0.0730

(-1.9520, -1.6660)

< 0.001

0.0002

  Age

0.3487

0.0110

(0.3270, 0.3700)

< 0.001

0.0004

  Female

-0.0046

0.0050

(-0.0140, 0.0040)

0.3190

0.0000

  Black

-0.4303

0.0150

(-0.4610, -0.4000)

< 0.001

0.0676

  White

1.4967

0.0160

(1.4650, 1.5280)

< 0.001

  Coloured

1.9480

0.0170

(1.9140, 1.9820)

< 0.001

  Indian/Asian

2.5111

0.0190

(2.4740, 2.5490)

< 0.001

  5 km Neighbour density

10.8092

0.0110

(10.7870, 10.8310)

< 0.001

0.2668

R² = 0.315, adjusted R² = 0.315