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. 2014 Mar 24;14:58. doi: 10.1186/1472-6920-14-58

Table 7.

Results of backward stepwise linear regression analyses of each factor, modeled^ as an outcome of MS group

Factors (n = 780) Constant MS year/time Cohort 1 (MS1/3) Covariates R 2 (F sig)
How important are the following factors in considering your career in medicine?
Idealism in medicine
.453
-.113 (<.001)
.020 (NS)
Hispanic (.540, p = .005); White (-.330, p < .001)
.079 (<.001)
Employment and job security
-.207
.146 (<.001)
.116 (NS)
# Children (-.313, p < .001); White (-.254, p < .001)
.059 (<.001)
Status and income
.371
.001 (NS)
-.216 (.014)
Female (-.281, p = .022); Hispanic (-.477, p = .021); White (-.165, p = .031); Married (-.237, p = .037)
.051 (<.001)
Career satisfaction
.157
-.081 (.002)
-.247 (.005)
Rural (-.281, p = .022); White (.269, p = .001)
.034 (<.001)
How important are the following factors in considering your choice for a specialty?
Prestige and income
.203
.035 (NS)
.069 (NS)
Married (-.447, p < .001); White (-.189, p = .015); Female (-.148, p = .046)
.034 (<.001)
Lifestyle and family
-.021
-.005 (NS)
-.143 (NS)
Female (.231, p = .002)
.018 (.004)
Idealism and educational experience
.259
-.025 (NS)
.127 (NS)
White (-.438, p < .001); Hispanic (.546, p = .006)
.067 (<.001)
Debt over interest in content
.025
.077 (.004)
.089 (NS)
White (-.368, p < .001)
.042 (<.001)
Attitudes toward primary care
Value of primary care skills
-.269
.014 (NS)
.233 (.008)
Married (.443, p < .001); Female (.190, p = .009); Number of Children (-.358, p = .018)
.036 (<.001)
Negative/antagonistic view of primary care
.072
.142 (<.001)
-.132 (NS)
White (-.437, p < .001); Rural (-.231, p = .05)
.125 (<.001)
Considering primary care career
.129
.003 (NS)
.177 (.042)
White (-.397, p < .001); Rural (.348, p = .005)
.047 (<.001)
Negative/sympathetic view of primary care .167 .097 (<.001) -.110 (NS) Number of Children (.302, p = .031) .049 (<.001)

^MS Group coded as: (MS1/T1 = 0, MS1/T2 = 1, MS2/T1 = 2, MS2/T2 = 3, MS3 = 4, MS4 = 5), Controlling for cohort (MS1/3 = 1, vs. MS2/4 = 0), race (White = 1), ethnicity (Hispanic = 1), rural secondary school graduation (1) origin, gender (female = 1), marital status (married = 1). Predictors displayed are those left in the final model produced by stepwise entry of covariates.