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. 2016 Jul 27;17:29. doi: 10.1186/s12903-016-0256-2

Table 4.

Multivariable logistic regression of common risk factors associated with edentulism, adults aged 50+ years in China, Ghana, India and South Africa and pooled, SAGE Wave 1 (weighted)

China Ghana India South Africa Pooled data
Variable OR (95 % CI) p-value OR (95 % CI) p-value OR (95 % CI) p-value OR (95 % CI) p-value OR (95 % CI) p-value
Sex
 Male 1 1 1 1 1
 Female 1.09 (0.86–1.37) 0.477 1.56 (1.01–2.42) 0.044 1.01 (0.67–1.52) 0.959 1.07 (0.66–1.74) 0.789 0.96 (0.77–1.20) 0.716
Age group
 50–59 1 1 1 1 1
 60–69 2.80 (2.25–3.50) <0.001 1.16 (0.62–2.20) 0.635 1.51 (1.20–1.92) 0.001 1.45 (0.86–2.43) 0.162 2.03 (1.74–2.36) <0.001
 70–79 6.74 (5.22–8.70) <0.001 1.73 (0.83–3.59) 0.140 3.80 (2.84–5.09) <0.001 1.70 (0.98–2.96) 0.059 4.94 (4.10–5.96) <0.001
 80+ 14.89 (10.88–20.37) <0.001 5.25 (2.80–9.83) <0.001 3.59 (2.50–5.16) <0.001 2.89 (1.29–6.45) 0.010 7.67 (5.93–9.91) <0.001
Residence
 Urban 1 1 1 1 1
 Rural 1.36 (1.09–1.69) 0.007 0.53 (0.31–0.91) 0.022 0.70 (0.45–1.08) 0.110 0.52 (0.30–0.90) 0.021 1.01 (0.77–1.32) 0.964
Education
 No schooling 1 1 1 1 1
 Primary 0.82 (0.67–1.00) 0.048 1.05 (0.44–2.53) 0.915 0.94 (0.72–1.22) 0.637 2.32 (1.31–4.12) 0.004 0.88 (0.75–1.03) 0.105
 Secondary 0.57 (0.44–0.75) <0.001 0.98 (0.51–1.90) 0.960 0.76 (0.56–1.03) 0.081 2.82 (1.52–5.21) 0.001 0.58 (0.48–0.71) <0.001
 University 0.31 (0.18–0.53) <0.001 1.31 (0.38–4.54) 0.665 0.60 (0.33–1.12) 0.107 1.29 (0.36–4.58) 0.693 0.44 (0.28–0.68) <0.001
Wealth quintile
 1 (lowest) 1 1 1 1 1
 2 0.89 (0.71–1.12) 0.317 0.87 (0.41–1.84) 0.714 0.91 (0.65–1.28) 0.586 1.68 (0.68–4.10) 0.258 0.85 (0.70–1.03) 0.100
 3 1.03 (0.84–1.27) 0.752 1.17 (0.56–2.45) 0.675 0.93 (0.66–1.29) 0.651 1.47 (0.61–3.57) 0.389 0.94 (0.78–1.13) 0.497
 4 0.76 (0.60–0.94) 0.015 0.80 (0.37–1.70) 0.553 1.08 (0.74–1.57) 0.703 1.61 (0.71–3.67) 0.256 0.83 (0.67–1.03) 0.094
 5 (highest) 0.68 (0.52–0.90) 0.007 0.94 (0.41–2.16) 0.890 0.99 (0.69–1.44) 0.974 2.78 (1.16–6.70) 0.022 0.82 (0.65–1.02) 0.076
Smoking
 Non-smoker 1 1 1 1 1
 Daily smoker 1.18 (0.89–1.57) 0.237 1.11 (0.53–2.35) 0.778 0.95 (0.75–1.21) 0.674 2.24 (1.22–4.13) 0.010 0.97 (0.80–1.16) 0.714
 Nondaily smoke 0.64 (0.38–1.07) 0.086 0.38 (0.05–2.81) 0.340 1.24 (0.74–2.08) 0.413 0.22 (0.04–1.15) 0.073 0.91 (0.62–1.34) 0.636
 Former smoker 1.57 (1.10–2.25) 0.015 1.86 (0.79–4.40) 0.157 1.29 (0.83–1.99) 0.260 1.81 (0.86–3.79) 0.118 1.36 (1.05–1.77) 0.020
Alcohol use
 Drinker 1 1 1 1 1
 Non-drinker 1.17 (0.98–1.40) 0.088 1.09 (0.70–1.69) 0.701 1.65 (1.11–2.46) 0.014 1.24 (0.57–2.70) 0.595 1.32 (1.08–1.60) 0.006
Nutrition
 Inadequate 1 1 1 1 1
 Adequate 0.68 (0.53–0.87) 0.003 1.05 (0.65–1.69) 0.846 1.31 (0.83–2.08) 0.243 0.68 (0.42–1.10) 0.114 0.82 (0.63–1.05) 0.113
Chronic conditions
 Angina 1.12 (0.80–1.57) 0.498 2.86 (1.19–6.84) 0.019 0.89 (0.50–1.59) 0.705 1.23 (0.67–2.26) 0.495 1.07 (0.81–1.42) 0.629
 Diabetes 0.93 (0.69–1.27) 0.659 2.57 (1.19–5.59) 0.017 1.46 (0.92–2.31) 0.111 1.24 (0.69–2.24) 0.472 1.24 (0.93–1.65) 0.143
 Hypertension 1.22 (0.98–1.52) 0.074 0.57 (0.24–1.31) 0.184 0.79 (0.57–1.09) 0.145 2.75 (1.72–4.38) <0.001 1.10 (0.92–1.31) 0.305
Country
 China 1
 Ghana 0.21 (0.15–0.28) <0.001
 India 1.51 (1.14–1.99) 0.004
 South Africa 0.86 (0.62–1.18) 0.349