Du Yanqiu, Zheng Bingbing, Wang Xiuru, Song Tianlei, Liang Di, Petersen Jindong Ding, Huang Jiayan
Key Laboratory of Health Technology Assessment of National Health Commission, School of Public Health, Fudan University, Shanghai, China.
School of Public Health, Hainan Medical University, Haikou, China.
Front Public Health. 2025 Mar 12;13:1538665. doi: 10.3389/fpubh.2025.1538665. eCollection 2025.
The purpose of this study is to present the findings of a cross-sectional survey on health state utility (HSU) values, a crucial metric for economic evaluations, and to analyze the primary factors influencing the HSU values of individuals with normal cognition (NC) or mild cognitive impairment (MCI).
A community-based survey was conducted in Haikou City, China, employing cluster random sampling to select participants. The presence of NC and MCI was determined through the administration of the Chinese version of the Mini-Mental State Examination (MMSE). The assessment of HSU was conducted using the Chinese version of the Short Form Six Dimensions version 2 (SF-6Dv2), in conjunction with a questionnaire that collected data on socio-demographic characteristics, health-related behaviors, and health conditions. The HSU values were calculated using the SF-6Dv2 value set, which was developed for the Chinese population. A multiple linear regression model was constructed to identify the factors influencing HSU values.
The survey indicated that 536 older individuals were identified with NC (mean age 70.7, SD 7.1, 51.4% females), 245 were identified with MCI (mean age 73.0, SD 7.8, 67.4% females). The mean HSU values in NC group and MCI group were 0.792 (SD: 0.174) and 0.720 (SD: 0.199), respectively. The optimal multiple regression model for the MCI group demonstrated a linear relationship between age, depression symptomatology, and MMSE score with HSU, with coefficients of -0.009 ( < 0.001) for age and -0.132 ( < 0.001) for depression symptomatology. And for NC group, the optimal multiple linear regression model included five variables: age, sex, monthly personal income, depression symptomatology, and number of comorbidities.
This study presented findings on HSU and its influencing factors in both the NC and MCI groups. The older adult individuals with MCI demonstrated lower HSU compared to their cognitively normal counterparts. The results of the factor analysis indicated that intervention programs designed to enhance the health-related quality of life for older adult individuals with MCI should include strategies to address depression.
本研究旨在呈现一项关于健康状态效用（HSU）值的横断面调查结果，HSU值是经济评估的关键指标，并分析影响认知正常（NC）或轻度认知障碍（MCI）个体HSU值的主要因素。
在中国海口市进行了一项基于社区的调查，采用整群随机抽样来选择参与者。通过中文版简易精神状态检查表（MMSE）确定NC和MCI的存在情况。使用中文版简明健康状况调查简表第2版（SF - 6Dv2）进行HSU评估，并结合一份收集社会人口学特征、健康相关行为和健康状况数据的问卷。HSU值使用为中国人群开发的SF - 6Dv2值集进行计算。构建多元线性回归模型以识别影响HSU值的因素。
调查显示，识别出536名患有NC的老年人（平均年龄70.7岁，标准差7.1，女性占51.4%），245名患有MCI的老年人（平均年龄73.0岁，标准差7.8，女性占67.4%）。NC组和MCI组的平均HSU值分别为0.792（标准差：0.174）和0.720（标准差：0.199）。MCI组的最优多元回归模型显示年龄、抑郁症状和MMSE评分与HSU之间存在线性关系，年龄系数为 - 0.009（<0.001），抑郁症状系数为 - 0.132（<0.001）。对于NC组，最优多元线性回归模型包括五个变量：年龄、性别、个人月收入、抑郁症状和合并症数量。
本研究呈现了NC组和MCI组中HSU及其影响因素的研究结果。与认知正常的同龄人相比患有MCI的老年人HSU较低。因素分析结果表明，旨在提高患有MCI的老年人健康相关生活质量的干预项目应包括应对抑郁的策略。
