Table 2.

Binary logistic regression predicting whether an older adult is living with a chronic non-communicable disease or not.

					95.0% C.I. for EXP(B)
Independent Variables	B	S.E.	P value	Exp(B)	Lower	Upper
Age
50–59			0.080
60–69	−1.361	1.431	0.342	0.256	0.016	4.236
70–79	−0.818	1.458	0.575	0.441	0.025	7.683
80+	1.272	1.760	0.470	3.569	0.113	112.359
Sex
Female	−0.625	0.423	0.139	0.535	0.234	1.226
Education
No formal education			0.294
Primary education	−1.288	0.930	0.166	0.276	0.045	1.705
Secondary education	−1.048	0.798	0.189	0.351	0.073	1.675
Higher education	−0.264	0.764	0.730	0.768	0.172	3.435
Marital Status
Never married			0.980
Married/Cohabiting	−0.079	1.784	0.965	0.924	0.028	30.506
Separated/Divorced/Widowed	0.083	0.450	0.854	1.087	0.449	2.627
Type place of residence
Rural	0.885	0.445	0.047*	2.423	1.013	5.795
Wealth quintile
Poor			0.244
Middle	0.859	0.522	0.100	2.360	0.848	6.567
Rich	0.151	0.520	0.771	1.164	0.420	3.226
Occupation
Professional			0.305
Clerical/Technician	0.489	0.577	0.397	1.630	0.526	5.053
Services/Sales	−0.465	0.691	0.501	0.628	0.162	2.432
Agriculture/Technician	0.127	0.478	0.790	1.136	0.445	2.896
Other	−1.166	0.696	0.094	0.312	0.080	1.218
Ethnicity
Akan			0.611
Ga/Dangme	0.725	0.689	0.293	2.065	0.535	7.965
Ewe	0.448	0.734	0.542	1.566	0.371	6.604
Other	0.830	0.706	0.240	2.292	0.575	9.143
Religion
Muslim			0.062
Catholic	2.125	1.001	0.034*	8.370	1.178	59.492
Protestant	0.227	0.648	0.726	1.255	0.352	4.471
Other	−0.420	0.489	0.391	0.657	0.252	1.714
Constant	1.158	1.942	0.551	3.184

Source: (SAGE, 2005)

^*P<.05 r² =26.5