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. 2017 Aug 14;39(1):607–612. doi: 10.1080/0886022X.2017.1361834

Table 4.

Factors affecting current unemployment status.

  Univariate model
Multivariate model
  Odds ratio (95% CI) p Value Odds ratio (95% CI) p Value
Female gender (female versus male) 1.65 (0.651–4.197) .29    
Older age (≥50 versus <50) 1.104 (1.014–1.116) .012 3.134 (1.079–9.1) .036
Teaching hospital (yes versus no) 0.702 (0.273–1.924) .375    
Center location (urban versus rural) 0.828 (0.479–2.106) .522    
Primary disease (DM versus others) 2.198 (0.709–6.809) .17 0.373 (0.094–1.476) .16
Educational level(below high middle school versus others) 27.879 (2.678–290.25) .005 1.971 (1.057–5.916) .026
Higher annual family income (≥100,000 RMB versus others) 0.316 (0.193–0.516) <.001 7.749 (2.487–24.143) <.001
Medical insurance(with versus without) 0.641 (0.177–2.314) .497    
Middle-large molecule elimination modalitya (with versus without) 1.545 (0.629–3.295) .343    
Middle-large molecule elimination modality (≥1 per week versus others) 0.722 (0.312–1.671) .447    
Weekend dialysis(without versus with) 1.084 (1.006–1.164) .01 1.924 (0.653–5.668) .235
SF36-Physical Functioning (<75 versus ≥75) 0.981 (0.959–1.003) .088 0.456 (0.144–1.451) .811
SF36-Role Physical (<25 versus ≥25) 0.988 (0.978–0.998) .02 1.091 (0.35–3.4) .184
EPO usage (yes versus no) 0.574 (0.069–4.743) .606    
Hemoglobin 1.472 (0.469–4.617) .508    
Albumin 1 (0.979–1.022) .968    
a

Including high flux HD, hemoperfusion, and hemodiafiltration.