Table 5.
Odds of RLS, PLMS, and electro-clinical RLS by demographics and obesity categories, among those without diabetes (n = 1638): The Multi-Ethnic Study of Atherosclerosis 2011–2013
Electro-clinical RLS | RLS, no PLMs | PLMs, no RLS | No RLS /PLMs | Electro-clinical RLS | RLS, no PLMs | PLMs, no RLS | No RLS /PLMs | ||
---|---|---|---|---|---|---|---|---|---|
104 | 256 | 348 | 927 | 99 | 239 | 334 | 896 | ||
n | Model 1 | Model 2 | |||||||
Race | |||||||||
White | 656 | 1 (ref) | 1 (ref) | 1 (ref) | 1 (ref) | 1 (ref) | 1 (ref) | 1 (ref) | 1 (ref) |
Black | 421 | 0.53 (0.30–0.94) | 1.14 (0.80–1.61) | 0.41 (0.29–0.59) | 0.62 (0.33–1.15) | 1.21 (0.83–1.76) | 0.40 (0.28–0.59) | ||
Hispanic | 355 | 1.34 (0.82–2.20) | 1.16 (0.80–1.68) | 0.83 (0.59–1.16) | 1.66 (0.90–3.04) | 1.06 (0.68–1.66) | 0.77 (0.52–1.16) | ||
Chinese- American | 206 | 0.49 (0.20–1.19) | 0.32 (0.16–0.62) | 0.94 (0.62–1.45) | 0.76 (0.29–1.99) | 0.36 (0.17–0.73) | 1.01 (0.62–1.64) | ||
Age | |||||||||
≤67 | 892 | 1 (ref) | 1 (ref) | 1 (ref) | 1 (ref) | 1 (ref) | 1 (ref) | 1 (ref) | 1 (ref) |
>67 | 746 | 1.57 (1.04–2.36) | 1.03 (0.77–1.36) | 2.18 (1.69–2.82) | 1.57 (1.00–2.45) | 1.06 (0.78–1.44) | 2.10 (1.60–2.77) | ||
Sex | |||||||||
Men | 892 | 1 (ref) | 1 (ref) | 1 (ref) | 1 (ref) | 1 (ref) | 1 (ref) | 1 (ref) | 1 (ref) |
Women | 746 | 1.18 (0.78–1.78) | 1.72 (1.28–2.30) | 0.66 (0.51–0.85) | 1.33 (0.85–2.08) | 1.70 (1.24–2.32) | 0.67 (0.51–0.88) | ||
BMI category | |||||||||
<25 | 501 | 1 (ref) | 1 (ref) | 1 (ref) | 1 (ref) | 1 (ref) | 1 (ref) | 1 (ref) | 1 (ref) |
25 to <30 | 642 | 1.36 (0.82–2.26) | 1.23 (0.87–1.75) | 0.95 (0.70–1.28) | 1.24 (0.73–2.10) | 1.13 (0.78–1.63) | 0.95 (0.69–1.30) | ||
≥30 | 492 | 1.24 (0.71–2.18) | 1.19 (0.82–1.73) | 1.10 (0.78–1.53) | 1.09 (0.61–1.97) | 1.06 (0.72–1.58) | 1.10 (0.78–1.57) |
Model 1: Race, age, sex, BMI, and site; Model 2: model 1 + physical activity, education, income, smoking status, alcohol consumption, dichotomized CES-D score, and medications. When not the exposure of interest, models were adjusted for the remaining covariates.