Practical Geriatrics ›› 2024, Vol. 38 ›› Issue (11): 1142-1147.doi: 10.3969/j.issn.1003-9198.2024.11.013

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A cross-sectional study of the influencing factors associated with immobility in elderly patients

ZHANG Wanshu, LIU Pan, SONG Yu, LI Xiaojun, LI Xiaxia, LI Yun, MA Lina   

  1. Department of Geriatrics, Xuanwu Hospital, Capital Medical University, National Clinical Research Center for Geriatric Disorders, Beijing 100053, China
  • Received:2024-01-05 Online:2024-11-20 Published:2024-11-21
  • Contact: MA Lina, Email:malina0883@126.com

Abstract: Objective To explore the influencing factors of immobility in the elderly patients. Methods The demographic information, medical history and serological indicators of 244 hospitalized patients aged ≥60 years old in Department of Geriatrics, Xuanwu Hospital, Capital Medical University from May 2022 to March 2023 were collected. The elderly patients were divided into immobility group and normal group according to the score of Short Physical Performance Battery (SPPB) scale, and the score of SPPB ≤ 9 was diagnosed as immobility. Cognitive function, depressive state, nutritional function and frailty were assessed in two groups. Univariate analysis and multiple Logistic regression analysis were performed to explore the influencing factors of immobility in the elderly patients. Results The prevalence rate of immobility in the elderly patients was 24.6%(60/244). The results of univariate analysis showed that age, application of more than three prescribed medications, comorbid with hypertension, Montreal Cognitive Assessment Scale (MoCA) score, frailty, the levels of albumin, prealbumin, alanine aminotransferase and D-dimer showed statistically significant differences between the two groups (P<0.05). Multiple Logistic regression analysis showed that age (OR=1.065, 95%CI: 1.011-1.122, P=0.017), application of more than three prescribed medications (OR=3.110, 95%CI: 1.431-6.760, P=0.004) and frailty grade (OR=1.709, 95%CI: 1.243-2.350, P=0.001) were independent influencing factors of immobility in the elderly patients. Conclusions Age, application of more than three prescribed medications and frailty grade can influence the incidence of immobility, which informs future intervention programs for immobility.

Key words: aged, immobility, influencing factor

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