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. 2017 Dec 29;15:252. doi: 10.1186/s12955-017-0831-5

Table 2.

Determinants of social exclusion (German Ageing Survey, 2014)

(1) (2) (3) (4)
Social exclusion score – Total sample Social exclusion score – Men Social exclusion score - Women Social exclusion score – Men; with interaction term (health comparisons x self-efficacy)
Potential confounders
Health comparison: much better (Ref.: The same) −0.0394+ −0.0711* −0.0153 −0.410*
(0.0220) (0.0307) (0.0312) (0.205)
Health comparison: somewhat better −0.00447 −0.000603 −0.0118 −0.154
(0.0162) (0.0229) (0.0228) (0.177)
Health comparison: somewhat worse 0.0479+ 0.0851* 0.0110 7.33e-06
(0.0285) (0.0393) (0.0412) (0.264)
Health comparison: much worse 0.138* 0.219** 0.0717 0.950**
(0.0545) (0.0833) (0.0716) (0.342)
Self-efficacy −0.474***
(0.0421)
Interaction term: Health comparison: much better x self-efficacy 0.124*
(0.0625)
Interaction term: Health comparison: somewhat better x self-efficacy 0.0565
(0.0560)
Interaction term: Health comparison: somewhat worse x self-efficacy 0.0224
(0.0864)
Interaction term: Health comparison: much worse x self-efficacy −0.264*
(0.113)
Constant 2.643*** 2.428*** 2.829*** 3.906***
(0.0729) (0.105) (0.103) (0.169)
Observations 6923 3472 3451 3467
R2 0.11 0.13 0.09 0.23

Comments: Potential confounders include age, employment status, family status, region, individual monthly net equivalent income, smoking status, body-mass-index, frequency of sports activities, alcohol consumption, self-rated health and number of chronic illnesses. Beta-Coefficients are reported; Cluster-robust standard errors in parentheses. *** p < 0.001, ** p < 0.01, * p < 0.05, + p < 0.10. Observations with missing values were dropped (listwise deletion). According to Schwarzer and Jerusalem [24, 25], self-efficacy was measured. Social exclusion was quantified using a scale constructed by Bude and Lantermann [23]