Table 2 Results of the two-part model of future medical expenditures1

Variable Percentage point difference in the probability of havinganyexpenditure2[95% CI] N=1,570 Change in expected expenditures conditional onhaving > zero2[95% CI] N=1,452 Unconditionalchange in expected expenditures2[95% CI] N=1,570
Emotional support -0.04 \$2,602 \$2,256
[-0.09, 0.01] [-\$957, \$6,161] [-\$1,031, \$5,544]
Physical support 0.06 -\$2,126 -\$1,748
[0.005, 0.11] [-\$6,491, \$2,239] [-\$5,777, \$2,280]
Learns new things at work 0.02 -\$1,596 -\$1,386
[-0.02, 0.06] [-\$5,051, \$1,859] [-\$4,563, \$1,790]
Has fun at work -0.03 \$2,401 \$2,120
[-0.06, 0.002] [-\$216, \$5,017] [-\$308, \$4,549]
Has enough resources to do job well 0.02 \$1,231 \$1,203
[-0.03, 0.07] [-\$1,904, \$4,367] [-\$1,681, \$4,087]
Employer not downsizing -0.03 \$1,386 \$1,193
[-0.06, 0.01] [-\$1,666, \$4,439] [-\$1,660, \$4,047]
Satisfied with job 0.003 \$106 \$108
[-0.07, 0.07] [-\$4,451, \$4,663] [-\$4,108, \$4,323]
Gets to use strengths at work 0.03 -\$2,881 -\$2,537
[-0.02, 0.07] [-\$6,840, \$1,078] [-\$6,166,\$1,092]
Trusting and open environment created by supervisor 0.02 -\$1,388 -\$1,193
[-0.02, 0.07] [-\$4,359, \$1,583] [-\$3,939, \$1,552]
Typical Hours Worked (hours) -0.0004 -\$13 -\$13
[-0.002, 0.001] [-\$128, \$102] [-\$120, \$93]
Pain 0.06 \$2,977 \$3,027
[0.04, 0.09] [\$889, \$5,065] [\$1,077, \$4,978]
Charlson comorbidity index Score ≥1 0.08 \$13,080 \$12,987
[0.06, 0.10] [\$8,827, \$17,333] [\$8,856, \$17,117]
Asthma 0.01 -\$2,929 -\$2,692
[-0.04, 0.05] [-\$5,154,-\$704] [-\$4,756,-\$629]
High blood pressure 0.05 \$389 \$558
[0.02, 0.08] [-\$2,096, \$2,874] [-\$1,775, \$2,891]
High cholesterol 0.04 \$418 \$531
[0.01, 0.07] [-\$2,072, \$2,908] [-\$1,799,\$2,861]
Current smoker -0.04 -\$1,169 -\$1,210
[-0.08, 0.01] [-\$3,922, \$1,584] [-\$3,726, \$1,305]
Male -0.10 -\$3,982 -\$4,067
[-0.13,-0.07] [-\$6,002,-\$1,962] [-\$5,938,-\$2196]
Age (years) 0.0004 \$62 \$59
[-0.001, 0.002] [-\$47, \$170] [-\$42, \$159]
BMI 0.001 \$68 \$67
[-0.001, 0.004] [-\$103, \$238] [-\$90, \$225]
Emotional health index (10 point scale) 0.002 -\$566 -\$516
[-0.004, 0.01] [-\$1,072,-\$60] [-\$984,-\$48]
Health insurance type (PPO is reference)
HMO - gatekeeper -0.03 -\$242 -\$280
[-0.06, 0.02] [-\$2,876, \$2,393] [-\$2,709, \$2,150]
HMO-POS or open access 0.002 \$1,170 \$1,091
[-0.05, 0.05] [-\$2,159, \$4,498] [-\$1,994, \$4,177]
Indemnity/HAS -0.03 \$6,160 \$5,538
[-0.11, 0.06] [-\$3,237, \$15,558] [-\$3,078, \$14,155]
Monthly household income (Up to \$2,999 is reference)
\$3,000 to \$3,999 -0.01 \$1,031 \$912
[-0.06, 0.04] [-\$2,264, \$4,326] [-\$2137, \$3962]
\$4,000 to \$4,999 -0.02 \$152 \$65
[-0.07, 0.03] [-\$3076, \$3,381] [-\$2922, \$3052]
\$5,000 to \$7,499 -0.02 \$3,078 \$2791
[-0.06, 0.03] [-\$385, \$6,541] [-\$423, \$6,004]
\$7,500 to \$9,999 -0.004 -\$804 -\$758
[-0.05, 0.04] [-\$4,185, \$2,578] [-\$3,904, \$2,389]
\$10,000 and over -0.01 \$2,161 \$1964
[-0.06, 0.04] [-\$1,692, \$6,015] [-\$1605, \$5533]
Spouse/Partner -0.001 \$637 \$584
[-0.03, 0.03] [-\$1,955, \$3,229] [-\$1,815, \$2983]
Number of children under 18 0.01 -\$975 -\$878
[-0.01, 0.02] [-\$2,067, \$117] [-\$1887, \$131]
1. 1This regression also controlled for the number of hospital beds per 1,000 pop; Active Primary Care, Specialty and Psychiatry Specialty Physicians per 10,000 pop; and Census Region. The results are for a two-part model of future medical expenditures. The first part of the model uses a logit regression with the dependent variable equal to one if there were any expenditure. The second part of the model is a GLM (Gamma and log-link). Confidence Intervals were estimated using a first-order Taylor series expansion.
2. 2Numbers in italics are statistically significant at the 5% level and that numbers in boldface are statistically significant at the 1% level.