Sequentially, we began our multivariable adjustment including only cardiac or only noncardiac comorbidities in separate models.
This association was no longer statistically significant after multivariable adjustment including mean 24-h24-h.
These differences were not statistically significant after further multivariable adjustment including 24-h mean SBP.
These associations were attenuated and no longer statistically significant after multivariable adjustment including mean 24-h24-h.
Multivariable adjustment including mutual adjustment for volume (LTPA) and intensity (walking speed and jogging) attenuated associations slightly (figure 2).
After multivariable adjustment including eGFR, there was no longer any gender difference in early outcome and the long-term outcome was better in women.
Multivariable adjustment included all demographic, health and treatment factors described above.
Multivariable adjustment includes age, sex, ethnicity, race, Medicaid coverage, region of residence, primary cause of dialysis, CVD comorbidity, functional impairment, serum albumin, serum creatinine, hemoglobin, primary dialysis setting, predialysis nephrology care, initial type of dialysis access and incident ESRD year.
Multivariable adjustment included age, sex, ethnicity, race, Medicaid use, region of residence, cause of renal failure, CVD comorbidity, functional impairment, serum albumin, serum creatinine, hemoglobin, primary dialysis setting, predialysis nephrology care, initial type of hemodialysis vascular access and incident ESRD year.
For each model multivariable adjustment includes age, sex, ethnicity, race, Medicaid coverage, region of residence, primary cause of dialysis, CVD comorbidity, functional impairment, serum albumin, serum creatinine, hemoglobin, primary dialysis setting, predialysis nephrology care, initial type of dialysis access and incident ESRD year.
The multivariable adjustment included age (years), total energy intake (kcal/day), total fibre and alcohol intake (g/day), smoking status (non-smoker; former smoker; and 1-20, 21-40, and ≥41 cigarettes consumed daily), occupation (desk worker, service business, manual labour, unemployed), regular physical activity (yes or no), and survey area (Ikawa or Yao).
