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Table 4 Determinants of number of partners in the past 12 months for women.

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)

-.012

.004

-.097

.034

-.067

.026

Square root of age

n.s.

 

1.029

.392

.694

.305

African American

.180

.091

n.s.

 

.066

.033

Mexican American

n.s.

 

n.s.

 

n.s.

 

Regular Partner

-.172

.074

n.s.

 

n.s.

 

Overweight

-.221

.072

-.094

.034

-.082

.027

Obese

n.s.

 

n.s.

 

n.s.

 

Height

n.s.

 

n.s.

 

n.s.

 

Income >20,000$

n.s.

 

n.s.

 

n.s.

 

N of weekly drinks

n.s.

 

n.s.

 

n.s.

 

Current smoking

.334

.082

.117

.039

.101

.030

Education

n.s.

 

n.s.

 

n.s.

n.s.

Constant

1.694

.153

-1.654

1.117

-1.037

.870

  1. n.s. = not selected by stepwise regression
  2. Stepwise regression (p entry .05, p removal .10) of number of partners in the last 12 months, and the root number of partners in the last 12 months on selected covariables. The β coefficients represent the increase in the outcome (dependent) variable (e.g. number of partners N) for every unit increase (e.g. one year, for age) of the covariable to which it belongs.
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BMC Public Health

ISSN: 1471-2458

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