Disability prevalence: comparing four types of disability measures in the community

Bulletin of Faculty of Physical Therapy

Table 4 Regression analysis of significant variables predicting disability prevalence among community dwellers in Gujarat, India (n = 357)

India census 2011 (Nagelkerke R² = 0.617; cut value = 0.500)
Predictors	B	S.E	Wald	Sig	95% CI
Predictors	B	S.E	Wald	Sig	Lower	Upper
Gender	2.118	0.881	5.776	0.016*	1.478	46.773
Economic status	1.476	0.451	10.693	0.001*	1.806	10.591
Constant	2.60			0.00	1.24	3.94
NSSO (Nagelkerke R² = 0.531; cut value = 0.500)
Gender	1.508	0.578	6.800	0.009*	1.455	14.045
Economic status	0.715	0.293	5.944	0.015*	1.151	3.635
Constant	2.35			0.00	1.36	3.34
UNCRPD (Nagelkerke R² = 0.574; cut value = 0.500)
Gender	1.170	0.352	11.017	0.001*	1.614	6.426
Constant	1.89			0.00	0.99	2.79
WG (Nagelkerke R² = 0.579; cut value = 0.500)
Gender	1.214	0.350	12.072	0.001*	1.698	6.682
Constant	2.19			0.001	0.88	3.50

NSSO, National Sample Survey Organization; UNCRPD, United Nations Convention on the Rights of the Persons with Disabilities; WG, Washington group. *Multivariate logistic regression analysis found that female gender and lower socio-economic status were independent influencing factors of the prevalence of disability, and the difference was statistically significant (P < 0.05)