Evidence map›Paper›PMID 40144983›Full record

ArticleFrontiers in public health2025

Influencing factors of health utility values in older adult people with normal cognition or mild cognitive impairment: a cross-sectional survey.

Yanqiu Du, Bingbing Zheng, Xiuru Wang, Tianlei Song, Di Liang, Jindong Ding Petersen, Jiayan Huang

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Article in Frontiers in public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Yanqiu DuKey Laboratory of Health Technology Assessment of National Health Commission, School of Public Health, Fudan University, Shanghai, China.
Bingbing ZhengSchool of Public Health, Hainan Medical University, Haikou, China.
Xiuru WangSchool of Public Health, Hainan Medical University, Haikou, China.
Tianlei SongSchool of Public Health, Hainan Medical University, Haikou, China.
Di LiangKey Laboratory of Health Technology Assessment of National Health Commission, School of Public Health, Fudan University, Shanghai, China.
Jindong Ding PetersenSchool of Public Health, Hainan Medical University, Haikou, China.
Jiayan HuangKey Laboratory of Health Technology Assessment of National Health Commission, School of Public Health, Fudan University, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: 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). Methods: 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. Results: 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 ( Conclusion: 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.

Indexed as

CognitionCognitive DysfunctionHealth StatusAgedAged, 80 and overChinaCross-Sectional StudiesFemaleHumansMaleMiddle AgedQuality of LifeSocioeconomic FactorsSurveys and Questionnairesdepressionhealth utilitymild cognitive impairmentmini-mental state examinationSF-6Dv2

Identifiers

PMID40144983
PMCPMC11936783

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.