Table 3.

Logistic multilevel, multivariate regression models with lifetime internalising disorder † as the outcome among 4072 urban China residents ‡

	Individual-level exposures only			Individual-level exposures and neighbourhood-level income			Individual-level exposures and neighbourhood-level marital status
	OR	95% CI lower limit	95% CI upper limit	OR	95% CI lower limit	95% CI upper limit	OR	95% CI lower limit	95% CI upper limit
Individual-level fixed effects
Age 35–49	0.75	0.55	1.01	0.75	0.56	1.02	0.77	0.57	1.05
Age 50–64	1.35	0.87	2.09	1.36	0.88	2.10	1.40	0.91	2.17
Age 65+	0.90	0.53	1.53	0.90	0.53	1.53	0.93	0.55	1.58
Female	1.19	0.92	1.53	1.19	0.92	1.53	1.18	0.92	1.53
Ratio of individual income to city income	1.05*	1.02	1.09	1.05*	1.02	1.09	1.05*	1.02	1.09
In top 50% of country-level education	1.28	0.97	1.69	1.26	0.95	1.69	1.27	0.96	1.68
Married	0.75	0.56	1.02	0.75	0.56	1.02	0.79	0.57	1.09
Migrant to megacity	1.11	0.77	1.60	1.11	0.77	1.61	1.09	0.75	1.57
Unemployed	1.49	0.77	2.89	1.50	0.78	2.91	1.57	0.80	3.06
Neighbourhood-level fixed effects
Ratio of neighbourhood income to city income				1.07	0.82	1.40
Percent married in neighbourhood							0.99	0.99	1.00
Random effects	Variance estimate	Zero G test Χ2	p Value	Variance estimate	Zero G test Χ2	p Value	Variance estimate	Zero G test Χ2	p Value
Intercept	0.07	2.35	0.063	0.07	2.28	0.065	0.06	1.60	0.103

* =p<0.05.

†Internalising disorders include anxiety (post-traumatic stress disorder, panic disorder, specific phobia, social phobia, agoraphobia, adult separation anxiety, generalised anxiety disorder) and mood (major depressive disorder, dysthymic disorder and bipolar/subthreshold bipolar) disorders.

‡Models include the above variables as well as fixed effects for city and for having a missing (‘do not know’ or refused) value on individual unemployment.