Table 3 Linear regression analysis predicting psychological health—total effects model

Constant

3.05*** (.38)

2.16*** (.30)

3.29*** (.33)

1.91*** (.49)

1.41* (.57)

1.42** (.48)

Age

 − .13** (.04)

 − .16*** (.03)

 − .15*** (.03)

.08 (.05)

.02 (.06)

.15** (.05)

Gender (0 = male)

.12 (.12)

.13 (.09)

.14 (.10)

.20 (.15)

 − .23 (.17)

 − .03 (.14)

Ethnicity (0 = non-White)

.18 (.14)

 − .06 (.11)

.07 (.12)

 − .16 (.18)

 − .32 (.21)

 − .06 (.18)

Urbanicity

 − .002 (.04)

 − .004 (.03)

 − .02 (.03)

 − .003 (.05)

 − .01 (.05)

 − .02 (.04)

Income

 − .09* (.04)

 − .08** (.03)

 − .07* (.03)

.12* (.05)

.07 (.06)

.06 (.05)

Diet type (0 = non-strict vegetarian

.05 (.13)

 − .16 (.10)

 − .10 (.11)

 − .03 (.16)

 − .14 (.19)

 − .21 (.16)

Physical health

 − .23*** (.07)

 − .08 (.05)

 − .17** (.06)

.46*** (.08)

.48*** (.10)

.46*** (.08)

Health FCM

.07 (.05)

.03 (.04)

.04 (.04)

 − .03 (.06)

.01 (.07)

.03 (.06)

Moral FCM

 − .04 (.05)

.01 (.04)

 − .03 (.04)

.05 (.07)

.06 (.08)

.07 (.06)