Table 3 Results of regression analysis...

Table 3

Results of regression analysis of associations between bonding social capital and mental well-being scales

Dependent variable	Emotional well-being			Psychological well-being			Social well-being
Predictor	B	95% CI		B(SE)	95% CI		B(SE)	95% CI
Predictor		LL	UL		LL	UL		LL	UL
Turkish migrants sample (n = 119)
Gender	−0.08	−0.34	0.18	−0.23*	−0.44	−0.02	−0.10	−0.31	−0.11
Age	0.01	−0.01	0.04	−0.002	−0.02	0.02	0.01	−0.01	0.03
Health	0.39***	0.20	0.59	0.21**	0.05	0.37	0.25**	0.09	0.41
Partner	0.19	−0.06	0.44	0.23*	0.02	0.43	0.10	−0.11	0.30
Education	–	–	–	–	–	–	–	–	–
PBSC	0.60***	0.42	0.78	0.61***	0.47	0.76	0.66***	0.52	0.81
	Adj. R² = 0.45			Adj. R² = 0.53			Adj. R² = 0.53
	F(5, 113) = 20.40, p < 0.001			F(5, 113) = 27.76, p < 0.001			F(5, 113) = 27.90, p < 0.001

Dependent variable	Emotional well-being			Psychological well-being			Social well-being
Predictor	B	95% CI		B(SE)	95% CI		B(SE)	95% CI
Predictor		LL	UL		LL	UL		LL	UL
Turkish migrants sample (n = 119)
Gender	−0.08	−0.34	0.18	−0.23*	−0.44	−0.02	−0.10	−0.31	−0.11
Age	0.01	−0.01	0.04	−0.002	−0.02	0.02	0.01	−0.01	0.03
Health	0.39***	0.20	0.59	0.21**	0.05	0.37	0.25**	0.09	0.41
Partner	0.19	−0.06	0.44	0.23*	0.02	0.43	0.10	−0.11	0.30
Education	–	–	–	–	–	–	–	–	–
PBSC	0.60***	0.42	0.78	0.61***	0.47	0.76	0.66***	0.52	0.81
	Adj. R² = 0.45			Adj. R² = 0.53			Adj. R² = 0.53
	F(5, 113) = 20.40, p < 0.001			F(5, 113) = 27.76, p < 0.001			F(5, 113) = 27.90, p < 0.001

Dutch non-migrants sample (n = 123)
Dependent variable	Emotional well-being			Psychological well-being			Social well-being
Predictor	B	95% CI		B	95% CI		B	95% CI
Predictor		LL	UL		LL	UL		LL	UL
Gender	−0.09	-0.29	0.23	−0.02	−0.45	0.32	−0.10	−0.47	0.28
Age	−0.003	−0.03	0.02	0.04**	−0.07	−0.01	−0.02	−0.05	0.01
Health	0.18*	0.03	0.31	0.05	−0.16	0.25	0.003	−0.18	0.19
Partner	0.12	−0.20	0.40	−0.23	−0.11	0.76	−0.26	−0.63	0.10
Education	−0.08	−0.33	0.18	−0.33	−0.70	0.03	−0.01	−0.35	0.33
PBSC	0.20**	0.09	0.34	0.35***	0.14	0.51	0.44***	0.27	0.61
	Adj. R² = 0.16			Adj. R² = 0.16			Adj. R² = 0.19
	F(6, 116) = 4.76, p < 0.001			F(6, 116) = 4.99, p < 0.001			F(6, 116) = 5.82, p < 0.001

Dutch non-migrants sample (n = 123)
Dependent variable	Emotional well-being			Psychological well-being			Social well-being
Predictor	B	95% CI		B	95% CI		B	95% CI
Predictor		LL	UL		LL	UL		LL	UL
Gender	−0.09	-0.29	0.23	−0.02	−0.45	0.32	−0.10	−0.47	0.28
Age	−0.003	−0.03	0.02	0.04**	−0.07	−0.01	−0.02	−0.05	0.01
Health	0.18*	0.03	0.31	0.05	−0.16	0.25	0.003	−0.18	0.19
Partner	0.12	−0.20	0.40	−0.23	−0.11	0.76	−0.26	−0.63	0.10
Education	−0.08	−0.33	0.18	−0.33	−0.70	0.03	−0.01	−0.35	0.33
PBSC	0.20**	0.09	0.34	0.35***	0.14	0.51	0.44***	0.27	0.61
	Adj. R² = 0.16			Adj. R² = 0.16			Adj. R² = 0.19
	F(6, 116) = 4.76, p < 0.001			F(6, 116) = 4.99, p < 0.001			F(6, 116) = 5.82, p < 0.001

Dependent variable	Turkish migrants sample			Dutch non-migrants sample
	(n = 119)			(n = 122)
	Overall mental well-being			Overall mental well-being
Predictor	B	95% CI		B	95% CI
Predictor		LL	UL		LL	UL
Gender	−0.16	−0.36	0.03	−0.10	−0.44	0.25
Age	−0.01	−0.01	0.03	−0.03*	−0.01	−0.001
Health	0.30***	0.15	0.44	0.06	−0.11	0.23
Partner	0.19	−0.001	0.38	−0.16	−0.49	0.17
Education	–	–	–	−0.15	−0.46	0.16
PBSC	0.69***	0.56	0.83	0.39***	0.23	0.54
	Adj. R² = 0.62			Adj. R² = 0.22
	F(5, 113) = 40.22, p < 0.001			F(6, 115) = 6.63, p < 0.001

Dependent variable	Turkish migrants sample			Dutch non-migrants sample
	(n = 119)			(n = 122)
	Overall mental well-being			Overall mental well-being
Predictor	B	95% CI		B	95% CI
Predictor		LL	UL		LL	UL
Gender	−0.16	−0.36	0.03	−0.10	−0.44	0.25
Age	−0.01	−0.01	0.03	−0.03*	−0.01	−0.001
Health	0.30***	0.15	0.44	0.06	−0.11	0.23
Partner	0.19	−0.001	0.38	−0.16	−0.49	0.17
Education	–	–	–	−0.15	−0.46	0.16
PBSC	0.69***	0.56	0.83	0.39***	0.23	0.54
	Adj. R² = 0.62			Adj. R² = 0.22
	F(5, 113) = 40.22, p < 0.001			F(6, 115) = 6.63, p < 0.001

Note(s):

Model: Enter, *p = < 0.05, **p = < 0.01, ***p = < 0.001. Gender (0 = male, 1 = female); partner (0 = no, 1 = yes); education (0 = low, 1 = high). CI = confidence interval; LL = lower limit; UL = upper limit

Source(s): Authors’ own work

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