Table 3. Location specific association between sarcopenia and its determinants by binary logistic regression model.

Variables	Coefficient(B)	S.E.	Wald	P value	OR (95% CI)
Urban (n = 360)
Age	0.066	0.030	4.819	0.028	1.068 (1.007–1.133)
Male gender (ref) female gender	0.655	0.496	1.747	0.186	1.925(0.729–5.086)
Inadequate protein intake (Ref) Adequate protein intake	0.792	0.508	2.431	0.119	2.209 (0.816–5.928)
Tobacco consumption (Ref) No tobacco consumption	0.041	0.666	0.004	0.951	1.042 (0.283–3.840)
Inadequate sunlight exposure (Ref) Adequate sunlight exposure	-0.774	0.843	0.844	0.358	0.461 (0.088–2.405)
Lower socioeconomic class (Ref) Higher socio-economic class	0.717	0.581	1.522	0.217	2.048 (0.656–6.395)
Physically inactive (Ref) Physically active	1.523	0.560	7.386	0.007	4.587 (1.529–13.760)
Constant	-6.820	1.878	13.185	0.000	0.001
Rural (n = 385)
Age	0.106	0.020	28.987	0.001	1.112 (1.070–1.156)
Male gender (ref) female gender	0.365	0.277	1.740	0.187	1.441 (0.837–2.479)
Inadequate protein intake (Ref) Adequate protein intake	0.793	0.477	2.762	0.097	2.211 (0.867–5.636)
Tobacco consumption (Ref) No tobacco consumption	0.358	0.272	1.723	0.189	1.430 (0.838–2.439)
Inadequate sunlight exposure (Ref) Adequate sunlight exposure	0.323	0.285	1.290	0.256	1.382 (0.791–2.414)
Lower socioeconomic class (Ref) Higher socio-economic class	0.766	0.292	6.894	0.009	2.150 (1.214–3.808)
Physically inactive (Ref) Physically active	-0.032	0.507	0.000	0.994	1.004 (0.371–2.714)
Constant	-5.510	1.092	25.464	0.000	0.004