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Table 3 Multinominal logistic regression assessing the relationship between BMI, pre-frailty and frailty

From: The relationship between increased body mass index and frailty on falls in community dwelling older adults

 

Pre-frailty

Frailty

Model 1

Model 2

Model 1

Model 2

Odds ratio (95% confidence interval)

BMI ≥30.0 kg.m2

2.5(1.5, 4.2)*

2.1(1.2, 3.7)

8.3(3.3, 21.0)*

4.4(1.4, 13.6)

BMI 25.0-29.9 kg.m2

1.5(1.0, 2.3)

1.4(1.0, 2.2)

2.2(1.0, 5.1)

1.7(0.6, 4.7)

Age

1.1(1.1, 1.1)*

1.1(1.0, 1.1)*

1.2(1.2, 1.3)*

1.2(1.1, 1.2)*

Gender

0.7(0.4, 1.0)

0.5(0.3, 0.8)

0.5(0.3, 1.1)

0.2(0.1, 0.8)

Social class

 

1.3(1.1, 1.4)*

 

1.1(0.8, 1.4)

Polypharmacy

 

0.9(0.6, 1.4)

 

0.6(0.2, 1.7)

Atrial fibrillation

 

0.5(0.2, 1.5)

 

0.7(0.1, 4.2)

Hypertension

 

1.1(0.7, 1.7)

 

1.9(0.8, 4.6)

Arthritis

 

0.9(0.6, 1.3)

 

0.6(0.2, 1.6)

Parkinson’s disease

 

0.3(0.1, 0.9)

 

0.2(0.0, 1.2)

Congestive cardiac failure

 

0.6(0.4, 0.9)

 

0.1(0.1,0.4)*

Peripheral vascular disease

 

0.3(0.1, 0.9)

 

0.1(0.0, 0.6)

Diabetes

 

0.5(0.2, 1.1)

 

0.3(0.1, 1.2)

Cancer

 

0.6(0.2, 1.8)

 

0.1(0.0, 0.5)

Chronic obstructive pulmonary disease

 

0.8(0.4, 1.5)

 

0.3(0.1, 0.7)

  1. Model 1 includes only BMI, age and gender (referent category = female); models 2 additionally includes potential clinical and demographic confounders. * p ≤ 0.001; p ≤ 0.01; p ≤ 0.05.
  2. Pre-frailty was identified by the presence of 1–2 frailty indicators. Frailty was identified by the presence of 3–5 frailty indicators.