Knowledge and Risk Perceptions of Chronic Kidney Disease Risk Factors among Women of Childbearing Age in Lagos State, Nigeria: From a Health Demography Approach
Table 5
Binary and multinomial logistic regression analyses of predictors likely to influence knowledge and perceived/perception of CKD risk factors among respondents.
Section A. Binary logistic regression analysis of demographic factors associated with respondents’ increased knowledge
Demographic factors
β
SE
Odds ratio (OR)
Younger aged adults (15–29 years)
No (RC)
1
Yes
0.249
0.182
1.42 (0.68–1.65)
0.02
High education
No (RC)
1
Yes
0.418
0.242
3.39 (1.01–3.65)
0.00
High income
No (RC)
1
Yes
0.261
0.148
2.44 (1.29–2.80)
0.00
Section B. Multinomial logistic regression analysis of perceived risk associated with knowledge of CKD independent risk factors
Independent risk factors of CKD
β
SE
Odds ratio (OR)
Misuse of analgesics (NASAIDs)
No (RC)
1
Yes
0.207
0.479
1.96 (1.32–2.31)
0.00
Herbal drink
No (RC)
1
Yes
0.523
0.164
2.01 (1.22–2.32)
0.00
Herbal supplements
No (RC)
1
Yes
0.426
0.218
1.23 (0.82–1.95)
0.04
Section C. Multinomial logistic regression analysis of perceived risk associated with knowledge of CKD dependent risk factors
Dependent risk factors
β
SE
Odds ratio (OR)
Diabetes
No (RC)
1
Yes
0.213
0.564
0.10 (0.23–1.15)
0.20
Hypertension
No (RC)
1
Yes
0.847
0.293
1.95 (1.32–3.20)
0.03
Family history of KD ailments
No (RC)
1
Yes
0.416
0.137
1.15 (0.32–1.46)
0.02
High cholesterol
No (RC)
1
Yes
0.020
0.145
0.54 (0.57–1.23)
0.30
Cigarette smoking
No (RC)
1
Yes
0.132
0.236
0.61 (0.30–1.76)
0.12
Source: fieldwork, 2019; , significant. Data are expressed as odds ratio.
