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Table 3 Factors associated with any multiple sensory impairment

From: Prevalence, associated risk factors; and patient and economic impact of multiple sensory impairment in a multi-ethnic elderly population in Singapore: the PIONEER study

Risk Factors

Odds Ratio (95% Confidence Interval)

Unadjusted Model

Full Model

Final Modela

P-valueb

Age

1.30 (1.24, 1.37)

1.33 (1.24, 1.43)

1.33 (1.25, 1.42)

< 0.001

Sex (Male)

2.05 (1.33, 3.16)

2.41 (1.15, 5.05)

2.84 (1.43, 5.65)

0.003

Race

 Chinese

Reference

Reference

-

 

 Malay

1.34 (1.24, 1.45)

1.37 (0.58, 3.21)

-

 

 Indian

1.77 (0.81, 3.89)

1.16 (0.50, 2.69)

-

 

Low SES

9.71 (3.86, 24.41)

8.21 (2.31, 29.22)

6.15 (2.06, 18.35)

0.001

Living alone

2.81 (1.10, 7.15)

1.07 (0.29, 3.90)

-

 

BMI

 BMI < 18.5

0.74 (0.30, 1.85)

0.50 (0.10, 2.45)

-

 

 18.5 ≤ BMI < 23

Reference

Reference

-

 

 BMI ≥ 23

0.89 (0.57, 1.40)

0.94 (0.43, 2.07)

-

 

Multimorbidity

2.74 (1.71, 4.39)

0.91 (0.44, 1.86)

-

 

Polypharmacy

3.07 (1.60, 5.89)

1.50 (0.57, 3.92)

-

 

Current smoker

1.48 (0.65, 3.36)

5.85 (1.66, 20.67)

4.91 (1.60, 15.01)

0.005

Alcohol frequency

 None

Reference

Reference

Reference

 

 ≤ 4 days per week

0.54 (0.26, 1.10)

0.26 (0.08, 0.85)

0.35 (0.12, 1.02)

0.054

 > 4 days per week

1.14 (0.25, 5.18)

3.25 (0.55, 19.37)

2.77 (0.50, 15.46)

0.246

  1. Abbreviations: SES socioeconomic status, BMI body mass index
  2. aFinal model was obtained using backwards stepwise procedure where variable which contributed to the greatest decrease in AIC was removed one at a time until further removal does not result in a decrease in AIC
  3. bP-values were calculated from Wald test