Acta Medica Okayama 80巻 1号
2026-02 発行
Sugahara, Kentaro
Department of Hygiene, Faculty of Medicine, Kagawa University
Kondo, Takashi
Innoshima General Hospital
Miyatake, Nobuyuki
Department of Hygiene, Faculty of Medicine, Kagawa University
Nishi, Hiroyuki
Innoshima General Hospital
Ujike, Kazuhiro
Innoshima General Hospital
Koumoto, Kiichi
Innoshima General Hospital
Namio, Keiichi
Department of Hygiene, Faculty of Medicine, Kagawa University
Hishii, Shuhei
Department of Hygiene, Faculty of Medicine, Kagawa University
Katayama, Akihiko
Faculty of Social Studies, Shikokugakuin University
Suzuki, Hiromi
Department of Hygiene, Faculty of Medicine, Kagawa University
Yamamoto, Yorimasa
Innoshima General Hospital
Appropriate treatments for chronic hemodialysis patients are a public health challenge in Japan. Sedentary behavior appears to be closely associated with these patients’ survival. We thus sought to develop a nomogram that predicts survival based on the duration of chronic hemodialysis patients’ sedentary behavior. One hundred twenty-four patients under chronic hemodialysis (73 men, 51 women, age 71.7±11.1 years) were enrolled in this cohort study. The patients wore a triaxial accelerometer that measured both their sedentary behavior, i.e., total sedentary behavior (minutes) and their maximum sedentary bouts (min) on non-hemodialysis days. We obtained the Kaplan-Meier curve and used the log-rank test and a Cox proportional hazards model to evaluate the relationship between the patients’ sedentary behavior and their survival. We also used a Cox proportional hazards model to develop a nomogram for the patients’ 5-year survival rate. Forty-six patients died during the follow-up period. When we stratified the patients by the medians of total sedentary behavior and maximum sedentary bouts, we observed significant between-group differences. After adjustment for confounding factors in a Cox proportional hazards model, total sedentary behavior and maximum sedentary bouts were identified as critical survival factors, and we generated a nomogram using an index of sedentary behavior. Our analysis results demonstrated that sedentary behavior on non-dialysis days was closely associated with the survival of the chronic hemodialysis patients, suggesting that a decrease in sedentary behavior would prolong their survival. The nomogram developed herein based on sedentary behavior may be useful for predicting the outcomes of chronic hemodialysis patients.
nomogram
chronic hemodialysis
sedentary behavior
Cox proportional hazards model
Kaplan- Meier curve