美国 60 岁及以上成年人中肥胖指标与认知功能的关系：国家健康调查（NHANES）结果

IF 2.6 3区心理学 Q2 BEHAVIORAL SCIENCES

Brain and Behavior Pub Date : 2024-09-11 DOI:10.1002/brb3.70006

Leian Chen, Ying Hou, Yu Sun, Dantao Peng

{"title":"美国 60 岁及以上成年人中肥胖指标与认知功能的关系：国家健康调查（NHANES）结果","authors":"Leian Chen, Ying Hou, Yu Sun, Dantao Peng","doi":"10.1002/brb3.70006","DOIUrl":null,"url":null,"abstract":"<div>\n \n \n <section>\n \n <h3> Background</h3>\n \n <p>Midlife obesity is a significant risk factor for Alzheimer's disease, but the effects of obesity on cognitive function, either detrimental or beneficial, are controversial among older individuals. This study aims to assess this associations of body mass index (BMI) or waist circumference (WC) with cognitive function among United States older individuals.</p>\n </section>\n \n <section>\n \n <h3> Methods</h3>\n \n <p>A cross-sectional research study was conducted utilizing data from the 2011 to 2014 National Health and Nutrition Examination Survey (NHANES). Initially, the study compared differences in cognitive function among the normal weight, overweight, and obese groups. Subsequently, we examined the relationships between BMI or WC and cognitive function using multivariate linear regression. Finally, structural equation models were constructed to assess the relationships among body shape, lifestyle, and cognitive function pathways.</p>\n </section>\n \n <section>\n \n <h3> Results</h3>\n \n <p>The study included 2254 individuals. Obese subjects had lower scores in the Consortium to Establish a Registry for Alzheimer's Disease (CERAD) word list learning tasks (CERAD-WL) (<i>χ</i><sup>2</sup> = 7.804, <i>p</i> = .020) and digit symbol substitution test (<i>χ</i><sup>2</sup> = 8.869, <i>p</i> = .012). The regression analysis showed that WC was negatively connected with the CERAD-WL score after adjusting for confounding factors (<i>β</i> = −.029, <i>p</i> = .045). Moreover, WC had a mediating effect on the path from lifestyle to cognition (CERAD-WL). However, there was no difference in the CERAD delayed recall score and the animal fluency test between the obese and the other groups.</p>\n </section>\n \n <section>\n \n <h3> Conclusions</h3>\n \n <p>Obese older adults exhibited impaired cognitive abilities in terms of learning and working memory performance. The impact of lifestyle on cognition was mediated by obesity-related anthropometric indices. Sleep, physical activity, and diet influenced the degree of obesity, which subsequently determined cognitive function. Prioritizing weight management in elderly people is crucial for safeguarding cognitive function.</p>\n </section>\n </div>","PeriodicalId":9081,"journal":{"name":"Brain and Behavior","volume":null,"pages":null},"PeriodicalIF":2.6000,"publicationDate":"2024-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/brb3.70006","citationCount":"0","resultStr":"{\"title\":\"Association of obesity indicators with cognitive function among US adults aged 60 years and older: Results from NHANES\",\"authors\":\"Leian Chen, Ying Hou, Yu Sun, Dantao Peng\",\"doi\":\"10.1002/brb3.70006\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div>\\n \\n \\n <section>\\n \\n <h3> Background</h3>\\n \\n <p>Midlife obesity is a significant risk factor for Alzheimer's disease, but the effects of obesity on cognitive function, either detrimental or beneficial, are controversial among older individuals. This study aims to assess this associations of body mass index (BMI) or waist circumference (WC) with cognitive function among United States older individuals.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Methods</h3>\\n \\n <p>A cross-sectional research study was conducted utilizing data from the 2011 to 2014 National Health and Nutrition Examination Survey (NHANES). Initially, the study compared differences in cognitive function among the normal weight, overweight, and obese groups. Subsequently, we examined the relationships between BMI or WC and cognitive function using multivariate linear regression. Finally, structural equation models were constructed to assess the relationships among body shape, lifestyle, and cognitive function pathways.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Results</h3>\\n \\n <p>The study included 2254 individuals. Obese subjects had lower scores in the Consortium to Establish a Registry for Alzheimer's Disease (CERAD) word list learning tasks (CERAD-WL) (<i>χ</i><sup>2</sup> = 7.804, <i>p</i> = .020) and digit symbol substitution test (<i>χ</i><sup>2</sup> = 8.869, <i>p</i> = .012). The regression analysis showed that WC was negatively connected with the CERAD-WL score after adjusting for confounding factors (<i>β</i> = −.029, <i>p</i> = .045). Moreover, WC had a mediating effect on the path from lifestyle to cognition (CERAD-WL). However, there was no difference in the CERAD delayed recall score and the animal fluency test between the obese and the other groups.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Conclusions</h3>\\n \\n <p>Obese older adults exhibited impaired cognitive abilities in terms of learning and working memory performance. The impact of lifestyle on cognition was mediated by obesity-related anthropometric indices. Sleep, physical activity, and diet influenced the degree of obesity, which subsequently determined cognitive function. Prioritizing weight management in elderly people is crucial for safeguarding cognitive function.</p>\\n </section>\\n </div>\",\"PeriodicalId\":9081,\"journal\":{\"name\":\"Brain and Behavior\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":2.6000,\"publicationDate\":\"2024-09-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://onlinelibrary.wiley.com/doi/epdf/10.1002/brb3.70006\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Brain and Behavior\",\"FirstCategoryId\":\"102\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1002/brb3.70006\",\"RegionNum\":3,\"RegionCategory\":\"心理学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"BEHAVIORAL SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Brain and Behavior","FirstCategoryId":"102","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/brb3.70006","RegionNum":3,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"BEHAVIORAL SCIENCES","Score":null,"Total":0}

引用次数: 0

摘要

背景中年肥胖是阿尔茨海默病的一个重要风险因素，但肥胖对认知功能的影响，无论是有害还是有益，在老年人中都存在争议。本研究旨在评估美国老年人的体重指数（BMI）或腰围（WC）与认知功能之间的关系。方法利用 2011 年至 2014 年美国国家健康与营养调查（NHANES）的数据开展了一项横断面研究。研究首先比较了正常体重组、超重组和肥胖组在认知功能方面的差异。随后，我们使用多变量线性回归法研究了体重指数或腹围与认知功能之间的关系。最后，我们构建了结构方程模型，以评估体形、生活方式和认知功能途径之间的关系。结果该研究共纳入 2254 人。肥胖受试者在建立阿尔茨海默病登记联盟（CERAD）单词表学习任务（CERAD-WL）（χ2 = 7.804，p = .020）和数字符号替换测试（χ2 = 8.869，p = .012）中的得分较低。回归分析表明，在调整了混杂因素后，WC 与 CERAD-WL 分数呈负相关（β = -.029，p = .045）。此外，腹围对从生活方式到认知（CERAD-WL）的路径具有中介效应。然而，在 CERAD 延迟回忆得分和动物流畅性测试中，肥胖组与其他组之间没有差异。结论肥胖的老年人在学习和工作记忆方面表现出认知能力受损。生活方式对认知能力的影响受肥胖相关人体测量指数的调节。睡眠、体力活动和饮食会影响肥胖程度，进而决定认知功能。优先控制老年人的体重对于保护认知功能至关重要。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

Association of obesity indicators with cognitive function among US adults aged 60 years and older: Results from NHANES

查看原文本刊更多论文

Association of obesity indicators with cognitive function among US adults aged 60 years and older: Results from NHANES

Background

Midlife obesity is a significant risk factor for Alzheimer's disease, but the effects of obesity on cognitive function, either detrimental or beneficial, are controversial among older individuals. This study aims to assess this associations of body mass index (BMI) or waist circumference (WC) with cognitive function among United States older individuals.

Methods

A cross-sectional research study was conducted utilizing data from the 2011 to 2014 National Health and Nutrition Examination Survey (NHANES). Initially, the study compared differences in cognitive function among the normal weight, overweight, and obese groups. Subsequently, we examined the relationships between BMI or WC and cognitive function using multivariate linear regression. Finally, structural equation models were constructed to assess the relationships among body shape, lifestyle, and cognitive function pathways.

Results

The study included 2254 individuals. Obese subjects had lower scores in the Consortium to Establish a Registry for Alzheimer's Disease (CERAD) word list learning tasks (CERAD-WL) (χ² = 7.804, p = .020) and digit symbol substitution test (χ² = 8.869, p = .012). The regression analysis showed that WC was negatively connected with the CERAD-WL score after adjusting for confounding factors (β = −.029, p = .045). Moreover, WC had a mediating effect on the path from lifestyle to cognition (CERAD-WL). However, there was no difference in the CERAD delayed recall score and the animal fluency test between the obese and the other groups.

Conclusions

Obese older adults exhibited impaired cognitive abilities in terms of learning and working memory performance. The impact of lifestyle on cognition was mediated by obesity-related anthropometric indices. Sleep, physical activity, and diet influenced the degree of obesity, which subsequently determined cognitive function. Prioritizing weight management in elderly people is crucial for safeguarding cognitive function.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

Brain and Behavior BEHAVIORAL SCIENCES-NEUROSCIENCES

CiteScore

5.30

自引率

0.00%

发文量

352

审稿时长

14 weeks

期刊介绍： Brain and Behavior is supported by other journals published by Wiley, including a number of society-owned journals. The journals listed below support Brain and Behavior and participate in the Manuscript Transfer Program by referring articles of suitable quality and offering authors the option to have their paper, with any peer review reports, automatically transferred to Brain and Behavior. * [Acta Psychiatrica Scandinavica](https://publons.com/journal/1366/acta-psychiatrica-scandinavica) * [Addiction Biology](https://publons.com/journal/1523/addiction-biology) * [Aggressive Behavior](https://publons.com/journal/3611/aggressive-behavior) * [Brain Pathology](https://publons.com/journal/1787/brain-pathology) * [Child: Care, Health and Development](https://publons.com/journal/6111/child-care-health-and-development) * [Criminal Behaviour and Mental Health](https://publons.com/journal/3839/criminal-behaviour-and-mental-health) * [Depression and Anxiety](https://publons.com/journal/1528/depression-and-anxiety) * Developmental Neurobiology * [Developmental Science](https://publons.com/journal/1069/developmental-science) * [European Journal of Neuroscience](https://publons.com/journal/1441/european-journal-of-neuroscience) * [Genes, Brain and Behavior](https://publons.com/journal/1635/genes-brain-and-behavior) * [GLIA](https://publons.com/journal/1287/glia) * [Hippocampus](https://publons.com/journal/1056/hippocampus) * [Human Brain Mapping](https://publons.com/journal/500/human-brain-mapping) * [Journal for the Theory of Social Behaviour](https://publons.com/journal/7330/journal-for-the-theory-of-social-behaviour) * [Journal of Comparative Neurology](https://publons.com/journal/1306/journal-of-comparative-neurology) * [Journal of Neuroimaging](https://publons.com/journal/6379/journal-of-neuroimaging) * [Journal of Neuroscience Research](https://publons.com/journal/2778/journal-of-neuroscience-research) * [Journal of Organizational Behavior](https://publons.com/journal/1123/journal-of-organizational-behavior) * [Journal of the Peripheral Nervous System](https://publons.com/journal/3929/journal-of-the-peripheral-nervous-system) * [Muscle & Nerve](https://publons.com/journal/4448/muscle-and-nerve) * [Neural Pathology and Applied Neurobiology](https://publons.com/journal/2401/neuropathology-and-applied-neurobiology)