Table 1 Regression analysis.

From: Can reduction in infection and mortality rates from coronavirus be explained by an obesity survival paradox? An analysis at the US statewide level

Variables

(1) OR (Y1 = infected)

(2) OR (Y1 = infected)

Constant

0.0271***

0.0473

 

(0.00228)

(0.591)

X = Obese adults (2020)

6.58 × 10−4**

1.46 × 10−5

 

(0.0467)

(0.773)

X2 = [Obese adults (2020)]2

614.12

 

(0.921)

Observations

54

54

Calculated Wald Chi-square (d.f. = 1 or 2)

3.955**

4.071

Critical Chi-square (d.f. = 1 or 2) at the 10% level

2.7055

4.6052

Critical Chi-square (d.f. = 1 or 2) at the 5% level

3.8415

5.9915

Critical Chi-square (d.f. = 1 or 2) at the 1% level

6.6349

9.2103

Descriptive statistics

Minimum prevalence of infection from coronavirus

0.0004

0.0004 (Montana)

Maximum prevalence of infection from coronavirus

0.0164

0.0164 (New York)

Minimum prevalence of obesity

0.226

0.226 (Colorado)

Maximum prevalence of obesity

0.381

0.381 (West Virginia)

  1. Robust p values are given in parentheses.
  2. *p < 0.1; **p < 0.05; ***p < 0.01.