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Table 2 Logistic regression models analyzing the relationship between functional independence and sample characteristics

From: Multimorbidity associated with functional independence among community-dwelling older people: a cross-sectional study in Southern China

   Crude OR (95% CI) Adjusteda OR (95% CI)
Age group, years 70 ~ 79 1.46 (1.22–1.75)** 1.40 (1.15–1.69)**
80~ 4.36 (3.17–5.99)** 3.62 (2.59–5.09)**
Gender Female 1.31 (1.12–1.54)** 1.12 (0.94–1.33)
Marital status Single 1.60 (1.32–1.94)** 1.05 (0.85–1.30)
Education level Middle school 0.56 (0.46–0.69)** 0.65 (0.53–0.80)*
High school or above 0.49 (0.41–0.59)** 0.54 (0.45–0.66)**
Employment status Unemployed 1.72 (1.21–2.44)** 1.34 (0.93–1.93)
Individual economic Good 0.77 (0.66–0.90)** 0.75 (0.64–0.89)**
Body mass index,kg/m2 <18.5 1.16 (0.79–1.71) 0.94 (0.63–1.42)
24 ~ 27.9 0.91 (0.77–1.08) 0.92 (0.77–1.10)
≥28 1.07 (0.82–1.40) 0.95 (0.71–1.25)
No. of chronic diseases 1 1.32 (1.08–1.63)** 1.22 (0.98–1.51)
≥2 2.21 (1.82–2.69)** 2.06 (1.68–2.53)**
  1. aMultivariate logistic regression models adjusted by age, gender, marital status, education level, employment status, individual economic conditions, body mass index and self-reported chronic diseases. No. Number, OR Odds ratio, CI Confidence interval. * P < 0.05, ** P < 0.01