Skip to main content

Table 6 Determinants of life time number of partners 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 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.