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Table 5 Determinants of life time number of partners for men.

From: Body mass index, sexual behaviour, and sexually transmitted infections : an analysis using the NHANES 1999–2000 data

 

REGRESSION MODEL

 

(1) Y = N

(2) Y = √N

(3) Y = ln(N+1)

Covariable

β

se(β)

β

se(β)

β

se(β)

Age (years)

.906

.292

n.s.

 

-.184

.089

Square root of age

n.s.

 

.845

.161

2.482

1.028

African American

26.72

6.611

1.197

.316

.482

.125

Mexican American

n.s.

 

-.799

.253

-.459

.100

Regular Partner

n.s.

 

-.504

.253

-.271

.102

Overweight

n.s.

 

n.s.

 

n.s.

 

Obese

-13.22

5.61

-.748

.253

-.292

.100

Height

n.s.

 

n.s.

 

n.s.

 

Income >20,000$

n.s.

 

-.759

.283

-.329

.113

N of weekly drinks

n.s.

 

n.s.

 

n.s.

 

Smoking (ever)

n.s.

 

n.s.

 

.189

.089

Education

n.s.

 

n.s.

 

n.s.

 

Constant

-12.65

10.44

-.446

.936

-5.478

2.913

  1. n.s. = not selected by stepwise regression
  2. Stepwise regression (p entry .05, p removal .10) of number of number of life time partners, and the root number of life time partners on selected covariables. The β coefficients represent the increase in the outcome variable (e.g. number of partners) for every unit increase (e.g. one year, for age) of the covariable to which it belongs.