Skip to main content

Table 3 Ordinal Logistic Regression Model Relating 1-Year Frailty Phenotype (0–5) to Baseline RMR in Subgroups Stratified by Baseline Frailty Status (Non-Frail or Pre-Frail)

From: Higher baseline resting metabolic rate is associated with 1-year frailty decline among older adults residing in an urban area

 

Non-Frail at Baseline

n = 46

Pre-Frail at Baseline

N = 62

Independent Variables

Odds Ratio, (p value)

Odds Ratio, (p value)

Resting Metabolic Rate (per 1 kcal/day)

1.002 (0.53)

1.009 (< 0.001)

Frailty score (baseline)

-- (0 points)

7.83 (< 0.001) (2 vs. 1 point)

Fat-Free Mass (per 1 kg mass)

0.93 (0.34)

0.81 (0.006)

Fat Mass (per 1 kg mass)

1.06 (0.19)

1.008 (0.81)

Race

  

Black

Other

0.60 (0.53)

Ref

0.34 (0.26)

Ref

Age

1.08 (0.17)

1.04 (0.41)

Gender

  

Female

Male

0.27 (0.44)

Ref

0.18 (0.17)

Ref

Education1

  

≥High School

<High School

--

--

0.05 (0.09)

ref

Monthly Income1

  

<$2000

$2000–3999

$4000+/month

Missing

ref

1.07 (0.93)

1.32 (0.74)

6.76 (0.15)

ref

1.21 (0.75)

0.27 (0.12)

0.05 (0.18)

  1. 1Among the n = 46 older adults who were non-frail at baseline, only n = 1 had an education < High school, therefore the education variable was not included in the non-frail model. Due to small cell sizes, the $4000–5999/month and $6000+/month income categories were collapsed for both models. These adjustments were made to optimize model fitting and did not substantially change any independent variable effect sizes or level of statistical significance