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中国老年患者营养状况、社会人口学特征、健康相关变量与健康相关生活质量之间的关联:一项多中心前瞻性研究

Associations Between Nutritional Status, Sociodemographic Characteristics, and Health-Related Variables and Health-Related Quality of Life Among Chinese Elderly Patients: A Multicenter Prospective Study.

作者信息

Liu Hongpeng, Jiao Jing, Zhu Chen, Zhu Minglei, Wen Xianxiu, Jin Jingfen, Wang Hui, Lv Dongmei, Zhao Shengxiu, Wu Xinjuan, Xu Tao

机构信息

Department of Nursing, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.

Department of Geriatrics, Peking Union Medical College, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China.

出版信息

Front Nutr. 2020 Oct 16;7:583161. doi: 10.3389/fnut.2020.583161. eCollection 2020.

DOI:10.3389/fnut.2020.583161
PMID:33178722
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7596354/
Abstract

Studies that explore the nutritional status, sociodemographic factors, mental health variables, and physical health variables that affect the health-related quality of life (HRQoL) of elderly patients are scarce in China. This study aimed to examine the association between health-related quality of life (HRQoL) and nutritional status, sociodemographic characteristics, and health-related variables among Chinese elderly patients. Participants were recruited from six tertiary-level hospitals in six provinces or municipalities/cities throughout China from October 2018 to February 2019: a total of 9,996 participants aged 65 years and older were enrolled. The nutritional status and HRQoL were measured using the Mini Nutritional Assessment-Short Form (MNA-SF) and the EuroQoL Five-Dimension Visual Analog Scale, respectively. BMI was taken using standard measurement protocols. Sociodemographic characteristics included age, sex, education, marital status, ethnicity, smoking, alcohol drinking, and current residence. Mental and physical health variables such as frailty and depression were assessed using validated tested instruments. Multiple linear regression analysis was used to analyze whether the nutritional status, sociodemographic characteristics, and health-related variables were associated with HRQoL. According to the MNA-SF scores at the 30- and 90-day follow-up, 9.7% and 9.1% of participants were malnourished, respectively. Higher MNA-SF scores were related to higher HRQoL scores in older patients (regression coefficient; 95% confidence interval) both at the 30-day (0.660; 0.499-0.821) and 90-day (0.622; 0.434-0.809) follow-up. However, there were no significant associations between the body mass index values and HRQoL. Sociodemographic characteristics (such as age, smoking, and current residence), physical health variables (frailty, urinary function, defecation function, sleeping condition, and falling accidents in the past 12 months), and mental health variables (depression) were the main factors influencing HRQoL in this group. There are several factors associated with HRQoL among the population derived from this investigation of a representative sample of the Chinese hospitalized elderly population in tertiary hospitals. These findings could have major importance for the planning of "active aging" policies and programs. Chinese Clinical Trial Registry, ChiCTR1800017682, registered August 9, 2018.

摘要

在中国,探讨影响老年患者健康相关生活质量(HRQoL)的营养状况、社会人口学因素、心理健康变量和身体健康变量的研究很少。本研究旨在调查中国老年患者的健康相关生活质量(HRQoL)与营养状况、社会人口学特征及健康相关变量之间的关联。研究对象于2018年10月至2019年2月从中国六个省或直辖市/城市的六家三级医院招募:共纳入9996名65岁及以上的参与者。营养状况和HRQoL分别采用微型营养评定法简表(MNA-SF)和欧洲五维视觉模拟量表进行测量。BMI采用标准测量方案。社会人口学特征包括年龄、性别、教育程度、婚姻状况、种族、吸烟、饮酒和目前居住地。使用经过验证的测试工具评估诸如衰弱和抑郁等心理健康和身体健康变量。采用多元线性回归分析营养状况、社会人口学特征和健康相关变量是否与HRQoL相关。根据30天和90天随访时的MNA-SF评分,分别有9.7%和9.1%的参与者存在营养不良。在30天(回归系数;95%置信区间)(0.660;0.499 - 0.821)和90天(0.622;0.434 - 0.809)随访时,老年患者中较高的MNA-SF评分与较高的HRQoL评分相关。然而,体重指数值与HRQoL之间无显著关联。社会人口学特征(如年龄、吸烟和目前居住地)、身体健康变量(衰弱、排尿功能、排便功能、睡眠状况和过去12个月内的跌倒事故)以及心理健康变量(抑郁)是该组中影响HRQoL的主要因素。在对中国三级医院住院老年人群的代表性样本进行的本次调查中,该人群中有几个因素与HRQoL相关。这些发现可能对“积极老龄化”政策和项目的规划具有重要意义。中国临床试验注册中心,ChiCTR1800017682,于2018年8月9日注册。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6b15/7596354/1b781ab647a6/fnut-07-583161-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6b15/7596354/1b781ab647a6/fnut-07-583161-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6b15/7596354/1b781ab647a6/fnut-07-583161-g0001.jpg

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