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老年人非传染性疾病相关直接医疗费用与身体活动之间的关联

The Association Between Direct Health Costs Related to Non-communicable Diseases and Physical Activity in Elderly People.

作者信息

Zhang Junlong, Li Bo

机构信息

Department of Physical Education and Research, South China Agricultural University, No. 483 Wushan Road, Tianhe District, Guangzhou, 510642, China.

Department of Cultural Foundation, Beijing Health Vocational College, No.128 Jiukeshu East Road, Tongzhou District, Beijing, 101101, China.

出版信息

J Prev (2022). 2025 Feb;46(1):121-132. doi: 10.1007/s10935-024-00808-9. Epub 2024 Sep 17.

Abstract

The aim of this study was to evaluate the association between direct health costs related to non-communicable diseases (NCDs) and the level of physical activity in Chinese elderly people. In this longitudinal study, 410 people over 64 years old were selected from health centers. The direct health costs caused by NCDs were recorded on a weekly basis for a period of six months. Also, physical activity was measured using FitBit Flex2™ and as the number of daily steps as well as calories burned during this six month. The multiple linear regression analysis was used to identify the predictors of direct health costs caused by NCDs as the dependent variable. Age, gender, marital status, education level, currently working, Fitbit steps and calories, and BMI were entered into the model as predictor variables to perform a stepwise regression analysis. Four variables of age, BMI, Fitbit steps and Fitbit calories were able to enter the regression model. The model explained 24.8% of the variability of direct health costs due to NCDs. The strongest predictor of health costs was Fitbit calories (B = - 2.113, t =  - 4.807, p < 0.001), followed by BMI (B = 1.267, t = 3.482, p < 0.001), Fitbit steps (B =  - 1.157, t =  - 3.118, p < 0.001), and age (B = 1.115, t = 2.599, p < 0.001). It can be said that having regular physical activity can reduce health costs due to NCDs in Chinese older people.

摘要

本研究旨在评估中国老年人非传染性疾病(NCDs)相关直接医疗费用与身体活动水平之间的关联。在这项纵向研究中,从健康中心选取了410名64岁以上的老人。在六个月的时间里,每周记录由非传染性疾病导致的直接医疗费用。此外,使用FitBit Flex2™测量身体活动情况,并记录这六个月期间的每日步数以及燃烧的卡路里数。以非传染性疾病导致的直接医疗费用为因变量,采用多元线性回归分析来确定其预测因素。将年龄、性别、婚姻状况、教育水平、是否在职、Fitbit步数和卡路里数以及体重指数(BMI)作为预测变量纳入模型,进行逐步回归分析。年龄、BMI、Fitbit步数和Fitbit卡路里数这四个变量能够进入回归模型。该模型解释了非传染性疾病导致的直接医疗费用变异性的24.8%。健康费用的最强预测因素是Fitbit卡路里数(B = -2.113,t = -4.807,p < 0.001),其次是BMI(B = 1.267,t = 3.482,p < 0.001)、Fitbit步数(B = -1.157,t = -3.118,p < 0.001)和年龄(B = 1.115,t = 2.599,p < 0.001)。可以说,进行规律的体育活动能够降低中国老年人因非传染性疾病产生的医疗费用。

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