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评估临床和人口统计学因素对健康认知的影响:用于美国国家健康和营养检查调查(NHANES)的SF-12健康调查简表的翻译版

Evaluating clinical and demographic influences on health perception: A translation of the SF-12 for use with NHANES.

作者信息

Covert Elise C, Baker Anna M, Gilani Owais

机构信息

Department of Mathematics, Bucknell University, 1 Dent Drive, Lewisburg, PA, 17837, USA.

Department of Psychology, Bucknell University, 1 Dent Drive, Lewisburg, PA, 17837, USA.

出版信息

SSM Popul Health. 2022 Mar 25;18:101081. doi: 10.1016/j.ssmph.2022.101081. eCollection 2022 Jun.

Abstract

Improving public health depends on an intricate understanding of the factors that influence how individuals perceive and self-report their personal health. Self-perceived health is an independent predictor of future health-related outcomes, but capturing self-perception of health is complex due to the intricate relationship between clinical and perceived health. A commonly used measure of self-perceived health is the Short Form 12 (SF-12), developed in the 1990s. In this study, we aim to evaluate clinical and demographic influences on self-perceived health among American adults using the National Health and Nutrition Examination Survey (NHANES). While NHANES captures information on a number of domains of health, including clinical assessments, it does not include SF-12 items necessary to measure self-perceived health. Therefore, to assess self-perceived health for our study, we constructed and validated a novel SF-12-equivalent measure for use with NHANES using analogous items from the 2015-2016 NHANES interview questionnaires. The developed measure reflects established knowledge of population health patterns and closely parallels the behavior of the original SF-12. An analysis of the clinical and demographic influences on this novel measure of health perception revealed that both clinical and demographic factors, such as depression status and race, influence how healthy individuals perceive themselves to be. Importantly, our analysis indicated that among American adults, while controlling for clinical and demographic covariates, an increase in low-density lipoprotein (i.e., "bad") cholesterol level was associated with an improvement in self-perceived health. This study contributes significantly in two domains: it provides a novel measure of self-perceived health compatible for use with the widely used NHANES data (as well as details on how the process was developed), and it identifies a critical area in need of improved clinical education regarding the apparent confusion around cholesterol health.

摘要

改善公众健康取决于对影响个体如何感知和自我报告其个人健康的因素的深入理解。自我感知健康是未来与健康相关结果的独立预测指标,但由于临床健康与感知健康之间的复杂关系,获取健康的自我感知较为复杂。一种常用的自我感知健康测量方法是20世纪90年代开发的简短健康调查问卷12项版(SF - 12)。在本研究中,我们旨在利用美国国家健康与营养检查调查(NHANES)评估美国成年人临床和人口统计学因素对自我感知健康的影响。虽然NHANES收集了包括临床评估在内的多个健康领域的信息,但它不包括测量自我感知健康所需的SF - 12项目。因此,为了在我们的研究中评估自我感知健康,我们使用2015 - 2016年NHANES访谈问卷中的类似项目构建并验证了一种与NHANES配套使用的新型等效SF - 12测量方法。所开发的测量方法反映了已有的人群健康模式知识,并且与原始SF - 12的表现密切相似。对这种新型健康感知测量方法的临床和人口统计学影响分析表明,临床和人口统计学因素,如抑郁状态和种族,都会影响个体对自身健康状况的感知。重要的是,我们的分析表明,在美国成年人中,在控制临床和人口统计学协变量的情况下,低密度脂蛋白(即“坏”)胆固醇水平的升高与自我感知健康的改善相关。本研究在两个领域做出了重大贡献:它提供了一种与广泛使用的NHANES数据兼容的新型自我感知健康测量方法(以及该方法的开发过程细节),并且它确定了一个急需改进临床教育的关键领域,即关于胆固醇健康方面明显存在的困惑。

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