Predicted lean body mass in relation to cognitive function in the older adults
BackgroundPrevious findings about lean body mass (LBM) and cognitive function remain unclear. We aimed to examine this association by using data from the National Health and Nutrition Examination Survey (NHANES).MethodsUsing data from the NHANES 2011-2014, we conducted logistic regression models to...
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| Format: | Article |
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Frontiers Media S.A.
2023-07-01
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| Series: | Frontiers in Endocrinology |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fendo.2023.1172233/full |
| _version_ | 1797785730789933056 |
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| author | Hong-Jian Gong Xingyao Tang Yin-He Chai Yu-Shun Qiao Hui Xu Ikramulhaq Patel Jin-Yan Zhang Jian-Bo Zhou |
| author_facet | Hong-Jian Gong Xingyao Tang Yin-He Chai Yu-Shun Qiao Hui Xu Ikramulhaq Patel Jin-Yan Zhang Jian-Bo Zhou |
| author_sort | Hong-Jian Gong |
| collection | DOAJ |
| description | BackgroundPrevious findings about lean body mass (LBM) and cognitive function remain unclear. We aimed to examine this association by using data from the National Health and Nutrition Examination Survey (NHANES).MethodsUsing data from the NHANES 2011-2014, we conducted logistic regression models to investigate the relation between the predicted LBM and domain-specific cognitive function assessed by Digit Symbol Substitution Test (DSST), Consortium to Establish a Registry for Alzheimer’s Disease Word Learning test (CERAD-WL) and Delayed Recall test (CERAD-DR), and Animal Fluency (AF) for information processing speed, memory, and executive function, respectively. Cognitive impairment was defined as the lowest quartile of each cognitive test in the total population. Sex-stratified analysis was further made.ResultsA total of 2955 participants aged 60 and above (mean [SD] age, 69.17[0.20] years; 1511 female [51.13%]) were included in the study. After being adjusted for social economic factors, anthropometric parameters, and diseases, we found a positive association between predicted LBM and information processing speed (Odds ratio of DSST impairment= 0.95, 95%CI= 0.91 to 0.99) regardless of body mass index and sex. Compared with patients in the first quartile of predicted LBM, those in the fourth quartile had an odds ratio of 0.355 (95% confidence interval 0.153-0.822) for DSST impairment. No significant relation in other cognitive tests and predicted LBM was found whether stratified by sex or not.ConclusionOur findings point to the association between predicted lean body mass and cognitive dysfunction in information processing speed, which could be used for early detection and prevention of deterioration of cognitive function among older adults. |
| first_indexed | 2024-03-13T00:58:08Z |
| format | Article |
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| institution | Directory Open Access Journal |
| issn | 1664-2392 |
| language | English |
| last_indexed | 2024-03-13T00:58:08Z |
| publishDate | 2023-07-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Endocrinology |
| spelling | doaj.art-6f292128155d44298d500727b659b0b42023-07-06T14:36:40ZengFrontiers Media S.A.Frontiers in Endocrinology1664-23922023-07-011410.3389/fendo.2023.11722331172233Predicted lean body mass in relation to cognitive function in the older adultsHong-Jian Gong0Xingyao Tang1Yin-He Chai2Yu-Shun Qiao3Hui Xu4Ikramulhaq Patel5Jin-Yan Zhang6Jian-Bo Zhou7Department of Endocrinology, Beijing Tongren Hospital, Capital Medical University, Beijing, ChinaBeijing Tongren Hospital, Capital Medical University, Beijing, ChinaDepartment of Endocrinology, Beijing Tongren Hospital, Capital Medical University, Beijing, ChinaDepartment of Endocrinology, Beijing Tongren Hospital, Capital Medical University, Beijing, ChinaDepartment of Endocrinology, Beijing Tongren Hospital, Capital Medical University, Beijing, ChinaDepartment of Endocrinology, Beijing Tongren Hospital, Capital Medical University, Beijing, ChinaDepartment of Endocrinology, Beijing Tongren Hospital, Capital Medical University, Beijing, ChinaDepartment of Endocrinology, Beijing Tongren Hospital, Capital Medical University, Beijing, ChinaBackgroundPrevious findings about lean body mass (LBM) and cognitive function remain unclear. We aimed to examine this association by using data from the National Health and Nutrition Examination Survey (NHANES).MethodsUsing data from the NHANES 2011-2014, we conducted logistic regression models to investigate the relation between the predicted LBM and domain-specific cognitive function assessed by Digit Symbol Substitution Test (DSST), Consortium to Establish a Registry for Alzheimer’s Disease Word Learning test (CERAD-WL) and Delayed Recall test (CERAD-DR), and Animal Fluency (AF) for information processing speed, memory, and executive function, respectively. Cognitive impairment was defined as the lowest quartile of each cognitive test in the total population. Sex-stratified analysis was further made.ResultsA total of 2955 participants aged 60 and above (mean [SD] age, 69.17[0.20] years; 1511 female [51.13%]) were included in the study. After being adjusted for social economic factors, anthropometric parameters, and diseases, we found a positive association between predicted LBM and information processing speed (Odds ratio of DSST impairment= 0.95, 95%CI= 0.91 to 0.99) regardless of body mass index and sex. Compared with patients in the first quartile of predicted LBM, those in the fourth quartile had an odds ratio of 0.355 (95% confidence interval 0.153-0.822) for DSST impairment. No significant relation in other cognitive tests and predicted LBM was found whether stratified by sex or not.ConclusionOur findings point to the association between predicted lean body mass and cognitive dysfunction in information processing speed, which could be used for early detection and prevention of deterioration of cognitive function among older adults.https://www.frontiersin.org/articles/10.3389/fendo.2023.1172233/fullpredicted lean masscognitive functionolder adultscross-sectional studyinformation processing speed |
| spellingShingle | Hong-Jian Gong Xingyao Tang Yin-He Chai Yu-Shun Qiao Hui Xu Ikramulhaq Patel Jin-Yan Zhang Jian-Bo Zhou Predicted lean body mass in relation to cognitive function in the older adults Frontiers in Endocrinology predicted lean mass cognitive function older adults cross-sectional study information processing speed |
| title | Predicted lean body mass in relation to cognitive function in the older adults |
| title_full | Predicted lean body mass in relation to cognitive function in the older adults |
| title_fullStr | Predicted lean body mass in relation to cognitive function in the older adults |
| title_full_unstemmed | Predicted lean body mass in relation to cognitive function in the older adults |
| title_short | Predicted lean body mass in relation to cognitive function in the older adults |
| title_sort | predicted lean body mass in relation to cognitive function in the older adults |
| topic | predicted lean mass cognitive function older adults cross-sectional study information processing speed |
| url | https://www.frontiersin.org/articles/10.3389/fendo.2023.1172233/full |
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