TABLE 4.
Dentists (n = 164) | ||||||
---|---|---|---|---|---|---|
Urinary Hg | 5-HTTLPRVariant | Magnitude of additive effect (difference) |
||||
Test and affect | Beta | p | Beta | p | Fold change | |
Profile on Mood States (n = 6) | ||||||
Anger | ns | 0.24 | .000 | |||
Depression | ns | 0.22 | .001 | |||
Tension | ns | 0.16 | .02 | |||
Confusion | 0.13 | .02 | 0.19 | .01 | 0.92 | 0.22 |
Vigor | ns | 0.12 | .04 | |||
Total | ns | 0.21 | .001 | |||
Beck Depression Index (n = 4) | ||||||
BDI Sum | 0.29 | .02 | ns | |||
BDI Factor 1 Listless | ns | 0.26 | .001 | |||
BDI Factor 2 Worthlessness | ns | 0.24 | .007 | |||
BDI Factor 3 Depression | ns | 0.23 | .005 | |||
BDI Factor 4 Agitation | ns | 0.23 | .006 | |||
The Symptom Checklist-90 (n = 4) | ||||||
SCL90 Sum | 0.18 | .03 | ns | |||
SCL90 Factor 2 Listless | 0.16 | .05 | 0.19 | .04 | 0.66 | 1.27 |
SCL90 Factor 3 Fearful | ns | 0.17 | .04 | |||
Dental assistants (n = 101) | ||||||
Profile on Mood States (n = 6) | ||||||
Anger | 0.19 | .03 | 0.19 | .05 | 1.39 | 0.36 |
Depression | 0.23 | .02 | ||||
Tension | 0.19 | .04 | 0.18 | .05 | 2.67 | 0.25 |
Confusion | ns | 0.28 | .02 | |||
Fatigue | 0.20 | .05 | 0.32 | .005 | 3.82 | 0.39 |
Vigor | −0.21 | .03 | −0.25 | .01 | −1.98 | 0.14 |
Total | ns | 0.23 | .02 | |||
Beck Depression Index (n=4) | ||||||
BDI Sum | 0.35 | .01 | ||||
BDI Factor 1 Listless | 0.34 | .003 | 0.55 | .000 | 0.168 | 0.11 |
BDI Factor 2 Worthlessness | 0.15 | .03 | 0.18 | .04 | 0.168 | 0.13 |
The Symptom Checklist-90 | ||||||
SCL90 Sum | ns | 0.25 | .04 | |||
SCL90 Factor 1 Distrustful | ns | 0.28 | .01 | |||
SCL90 Factor 3 Fearful | 0.33 | .02 | 0.45 | .009 | 1.27 | 1.49 |
SCL90 Factor 4 Guilty | 0.31 | .03 | (−0.25) | .04 | (−0.77) | (2.37) |
Regression models are restricted to Race = white. For dentists, models control for age, number of alcoholic drinks per week, and premorbid intelligence (vocabulary). Regression models for dental assistants also include the level of education; analyses in the unexpected direction are noted by parentheses.