与非传染性疾病相关的直接健康成本与老年人体育锻炼之间的关系。

Junlong Zhang, Bo Li
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引用次数: 0

摘要

本研究旨在评估中国老年人与非传染性疾病(NCDs)相关的直接健康成本与体育锻炼水平之间的关系。在这项纵向研究中,410 名 64 岁以上的老年人被选自医疗中心。在为期 6 个月的时间里,每周记录一次非传染性疾病造成的直接健康成本。此外,研究人员还使用 FitBit Flex2™ 测量了这六个月内的体力活动,包括每天的步数和消耗的卡路里。多元线性回归分析用于确定非传染性疾病直接健康成本的预测因素(因变量)。将年龄、性别、婚姻状况、教育程度、目前工作情况、Fitbit 步数和卡路里以及体重指数作为预测变量输入模型,进行逐步回归分析。年龄、体重指数、Fitbit步数和Fitbit卡路里这四个变量得以进入回归模型。该模型解释了 24.8% 非传染性疾病直接医疗成本的变化。健康成本的最强预测因子是 Fitbit 卡路里(B = - 2.113,t = - 4.807,p
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Association Between Direct Health Costs Related to Non-communicable Diseases and Physical Activity in Elderly People.

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.

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