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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