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Table 4 Independent effect of financial hardship measures on incident diabetic kidney disease

From: The relationship between financial hardship and incident diabetic kidney disease in older US adults – a longitudinal study

 

aDifficulty paying bills

p-value

aCost-related medication non-adherence

p-value

aFood insecurity

p-value

 

n = 952

 

n = 358

 

n = 122

 

Person-years follow-up

3613

 

1299

 

395

 

DKD count

146

 

64

 

20

 

DKD rate (per 1000)

40.4

 

49.3

 

50.7

 

Hazard Ratio (95% CI)

 Univariate model

1.45 (1.17–1.80)

< 0.01

1.69 (1.29–2.22)

< 0.01

1.73 (1.10–2.72)

0.02

 Multivariate model 1a

1.32 (1.05–1.65)

0.02

1.48 (1.10–1.98)

< 0.01

1.27 (0.79–2.04)

0.33

 Multivariate model 1b

1.36 (1.07–1.72)

0.01

1.52 (1.13–2.03)

< 0.01

1.36 (0.84–2.20)

0.22

 Multivariate model 2

1.22 (0.96–1.56)

0.11

1.45 (1.08–1.95)

0.01

1.21 (0.74–1.97)

0.44

 Multivariate model 3

1.16 (0.90–1.48)

0.25

1.40 (1.05–1.88)

0.02

1.03 (0.63–1.68)

0.92

 Multivariate model 4

1.15 (0.90–1.47)

0.26

1.43 (1.07–1.93)

0.02

1.01 (0.62–1.66)

0.96

  1. aModel reference groups: Absence of financial hardship measures (difficulty paying bills, cost-related medication non-adherence and food security)
  2. Multivariate Model 1a: model included all three financial hardship measures - difficulty paying bills, cost-related medication non-adherence and food insecurity;
  3. Multivariate Model 1b: all three financial hardship measures adjusted by demographics (age, gender, race/ethnicity, marital status);
  4. Multivariate Model 2: all three financial hardship measures adjusted by demographics and socioeconomic status (education, household income and assets);
  5. Multivariate Model 3: all three financial hardship measures adjusted by demographics, socioeconomic status, and comorbidity count
  6. Multivariate Model 4: all three financial hardship measures adjusted by demographics, socioeconomic status, comorbidity count, and duration of diabetes