Table 4.

Results of generalized linear models (GLMs) on factor scores. SE = standard error. Statistically significant (Sig.) coefficients are denoted according to the p values: *** < 0.001; ** < 0.01; * < 0.05. Note that in log-linear GLMs the regressor coefficient estimates represent multiples of change in the response variable

	Coefficients	Estimate	SE	t value	p value	Sig
ML1 wellbeing discourse:
	(Intercept)	1.7223	0.0224	77.03	< 2 × 10−16	***
	Respondent age	0.0003	0.0004	0.82	0.411
	Freq. of nature visits	0.1047	0.0181	5.78	1.10 × 10−8	***
ML2 enjoyment discourse:
	(Intercept)	1.7715	0.0228	77.83	< 2 × 10−16	***
	Respondent age	0.0006	0.0004	1.39	0.164
	Freq. of nature visits	− 0.0141	0.0185	− 0.76	0.445
ML3 pro-environmentalist discourse:
	(Intercept)	1.8112	0.0225	80.53	< 2 × 10−16	***
	Respondent age	− 0.0011	0.0004	− 2.64	0.008	**
	Freq. of nature visits	0.0643	0.0184	3.50	0.001	***
ML4 natural habitats:
	(Intercept)	1.6997	0.0225	75.39	< 2 × 10−16	***
	Respondent age	0.0018	0.0004	4.45	9.89 × 10−6	***
	Freq. of nature visits	0.0103	0.0182	0.57	0.572
ML5 outdoor activity:
	(Intercept)	1.7745	0.0209	84.82	< 2 × 10−16	***
	Respondent age	− 0.0016	0.0004	− 4.10	4.52 × 10−5	***
	Freq. of nature visits	0.1803	0.0171	10.55	< 2 × 10−16	***
ML6 ecoanxiety:
	(Intercept)	1.8802	0.0224	84.08	< 2 × 10−16	***
	Respondent age	− 0.0017	0.0004	− 4.24	2.48 × 10−5	***
	Freq. of nature visits	− 0.0090	0.0184	− 0.49	0.625