Relationship between anthropometric indicators and cognitive function in older women.
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| Title: | Relationship between anthropometric indicators and cognitive function in older women. |
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| Authors: | Zhao, Xiaoguang (AUTHOR), Tang, Huan (AUTHOR), Duan, Xiaosha (AUTHOR), Shen, Shaoshuai (AUTHOR), Wang, Jin (AUTHOR) |
| Source: | Health Care for Women International. 2025, Vol. 46 Issue 12, p1409-1423. 15p. |
| Subjects: | Cognition disorder risk factors, Risk assessment, Cross-sectional method, Body mass index, Statistical hypothesis testing, Data analysis, Research funding, Multiple regression analysis, Psychology of women, Analysis of covariance, Descriptive statistics, Waist circumference, Hip joint, Neuropsychological tests, Statistics, Anthropometry, Comparative studies, Data analysis software, Old age |
| Geographic Terms: | China |
| Abstract: | The authors aimed to explore the association between anthropometric indicators and cognitive function and determine which aspects of anthropometric indicators are most closely related to cognitive function. A sum of 3269 older women were included in this study. Body mass index (BMI), waist circumference, hip circumference, calf circumference, and waist-to-hip ratio were obtained to reflect anthropometric indicators. Cognitive function was assessed using Mini-Mental State Examination (MMSE). Researchers revealed statistically significant differences in total MMSE scores among the low, medium, and high groups of BMI, waist circumference, hip circumference, and calf circumference. Researchers also observed that calf circumference, hip circumference, and waist circumference are significantly associated with the total MMSE score. Our findings highlighted that older women with greater BMI, waist circumference, hip circumference, and calf circumference have a better level of cognitive function. Calf circumference is the most closely anthropometric indicator related to cognitive function in Chinese older women. [ABSTRACT FROM AUTHOR] |
| Copyright of Health Care for Women International is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Psychology and Behavioral Sciences Collection |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: pbh DbLabel: Psychology and Behavioral Sciences Collection An: 190668196 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Relationship between anthropometric indicators and cognitive function in older women. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Zhao%2C+Xiaoguang%22">Zhao, Xiaoguang</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Tang%2C+Huan%22">Tang, Huan</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Duan%2C+Xiaosha%22">Duan, Xiaosha</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Shen%2C+Shaoshuai%22">Shen, Shaoshuai</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Wang%2C+Jin%22">Wang, Jin</searchLink> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Health+Care+for+Women+International%22">Health Care for Women International</searchLink>. 2025, Vol. 46 Issue 12, p1409-1423. 15p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Cognition+disorder+risk+factors%22">Cognition disorder risk factors</searchLink><br /><searchLink fieldCode="DE" term="%22Risk+assessment%22">Risk assessment</searchLink><br /><searchLink fieldCode="DE" term="%22Cross-sectional+method%22">Cross-sectional method</searchLink><br /><searchLink fieldCode="DE" term="%22Body+mass+index%22">Body mass index</searchLink><br /><searchLink fieldCode="DE" term="%22Statistical+hypothesis+testing%22">Statistical hypothesis testing</searchLink><br /><searchLink fieldCode="DE" term="%22Data+analysis%22">Data analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Research+funding%22">Research funding</searchLink><br /><searchLink fieldCode="DE" term="%22Multiple+regression+analysis%22">Multiple regression analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Psychology+of+women%22">Psychology of women</searchLink><br /><searchLink fieldCode="DE" term="%22Analysis+of+covariance%22">Analysis of covariance</searchLink><br /><searchLink fieldCode="DE" term="%22Descriptive+statistics%22">Descriptive statistics</searchLink><br /><searchLink fieldCode="DE" term="%22Waist+circumference%22">Waist circumference</searchLink><br /><searchLink fieldCode="DE" term="%22Hip+joint%22">Hip joint</searchLink><br /><searchLink fieldCode="DE" term="%22Neuropsychological+tests%22">Neuropsychological tests</searchLink><br /><searchLink fieldCode="DE" term="%22Statistics%22">Statistics</searchLink><br /><searchLink fieldCode="DE" term="%22Anthropometry%22">Anthropometry</searchLink><br /><searchLink fieldCode="DE" term="%22Comparative+studies%22">Comparative studies</searchLink><br /><searchLink fieldCode="DE" term="%22Data+analysis+software%22">Data analysis software</searchLink><br /><searchLink fieldCode="DE" term="%22Old+age%22">Old age</searchLink> – Name: SubjectGeographic Label: Geographic Terms Group: Su Data: <searchLink fieldCode="DE" term="%22China%22">China</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: The authors aimed to explore the association between anthropometric indicators and cognitive function and determine which aspects of anthropometric indicators are most closely related to cognitive function. A sum of 3269 older women were included in this study. Body mass index (BMI), waist circumference, hip circumference, calf circumference, and waist-to-hip ratio were obtained to reflect anthropometric indicators. Cognitive function was assessed using Mini-Mental State Examination (MMSE). Researchers revealed statistically significant differences in total MMSE scores among the low, medium, and high groups of BMI, waist circumference, hip circumference, and calf circumference. Researchers also observed that calf circumference, hip circumference, and waist circumference are significantly associated with the total MMSE score. Our findings highlighted that older women with greater BMI, waist circumference, hip circumference, and calf circumference have a better level of cognitive function. Calf circumference is the most closely anthropometric indicator related to cognitive function in Chinese older women. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Health Care for Women International is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=pbh&AN=190668196 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1080/07399332.2024.2413448 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 15 StartPage: 1409 Subjects: – SubjectFull: Cognition disorder risk factors Type: general – SubjectFull: Risk assessment Type: general – SubjectFull: Cross-sectional method Type: general – SubjectFull: Body mass index Type: general – SubjectFull: Statistical hypothesis testing Type: general – SubjectFull: Data analysis Type: general – SubjectFull: Research funding Type: general – SubjectFull: Multiple regression analysis Type: general – SubjectFull: Psychology of women Type: general – SubjectFull: Analysis of covariance Type: general – SubjectFull: Descriptive statistics Type: general – SubjectFull: Waist circumference Type: general – SubjectFull: Hip joint Type: general – SubjectFull: Neuropsychological tests Type: general – SubjectFull: Statistics Type: general – SubjectFull: Anthropometry Type: general – SubjectFull: Comparative studies Type: general – SubjectFull: Data analysis software Type: general – SubjectFull: Old age Type: general – SubjectFull: China Type: general Titles: – TitleFull: Relationship between anthropometric indicators and cognitive function in older women. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Zhao, Xiaoguang – PersonEntity: Name: NameFull: Tang, Huan – PersonEntity: Name: NameFull: Duan, Xiaosha – PersonEntity: Name: NameFull: Shen, Shaoshuai – PersonEntity: Name: NameFull: Wang, Jin IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 12 Text: 2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 07399332 Numbering: – Type: volume Value: 46 – Type: issue Value: 12 Titles: – TitleFull: Health Care for Women International Type: main |
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