grip strength;
cognitive impairment;
Consortium to Establish a Registry for Alzheimer's Disease (CERAD);
animal fluency (AF);
digit symbol substitution test (DSST);
smooth curve fit;
machine learning;
DEMENTIA;
DISEASE;
D O I:
10.3389/fnmol.2022.973700
中图分类号:
Q189 [神经科学];
学科分类号:
071006 ;
摘要:
Background and aimsExponential population aging has led to an increased prevalence of cognitive impairment worldwide. Hand grip strength, which may be associated with physical activity, could be a useful predictor of cognitive impairment. However, few studies have reported the association, if any, between hand grip strength and cognitive function. MethodsWe used data obtained from the National Health and Nutrition Examination Survey between 2011-2012 and 2013-2014 to investigate the association between hand grip strength and cognitive impairment. Cognitive impairment was assessed using the Consortium to Establish a Registry for Alzheimer's Disease (CERAD), animal fluency (AF), and digit symbol substitution test (DSST) scores. Cutoff values of CERAD < 5, AF < 14, and DSST < 34 were used to define cognitive impairment. In this cross-sectional study, we used odds ratios to determine the potential usefulness of hand grip strength for the prediction of cognitive impairment. ResultsThis study included 2,623 participants aged >= 60 years. The DSST results showed that hand grip strength was associated with a low risk of cognitive impairment and that subgroup analysis showed that male sex, 60-69 years of age, and the Non-Hispanic (NH)-White, NH Black, and Asian were associated with a significantly low risk of cognitive impairment. The CERAD test results showed that 70-79 years of age and the NH White were significantly associated with a low risk of cognitive impairment. By following full adjustment, we did not observe statistically significant differences between hand grip strength and cognitive impairment based on the CERAD test. The AF test results showed that >80 years of age, female sex, and the NH White were associated with a significantly low risk of cognitive impairment. The most important finding is that a linear association lies between grip strength and cognitive impairment, as well as a sex-based linear association. Machine learning of the XGBoost model suggests that grip strength is one of the top two most important negative predictor variables. ConclusionWe observed an inverse relationship between hand grip strength and cognitive impairment, which might suggest a shared underlying mechanism that needs to be further investigated using a large-scale prospective clinical trial to validate our findings.
机构:
Univ Fed Sao Carlos, Programa Posgrad Enfermagem, Sao Carlos, SP, Brazil
Univ East Anglia, Fac Med & Hlth Sci, Norwich, Norfolk, EnglandUniv Fed Sao Carlos, Programa Posgrad Enfermagem, Sao Carlos, SP, Brazil
Brigola, Allan Gustavo
Ottaviani, Ana Carolina
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机构:
Univ Fed Sao Carlos, Programa Posgrad Enfermagem, Sao Carlos, SP, BrazilUniv Fed Sao Carlos, Programa Posgrad Enfermagem, Sao Carlos, SP, Brazil
Ottaviani, Ana Carolina
Trevisan Carvalho, Danilo Henrique
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h-index: 0
机构:
Univ Fed Sao Carlos, Programa Posgrad Fisioterapia, Sao Carlos, SP, BrazilUniv Fed Sao Carlos, Programa Posgrad Enfermagem, Sao Carlos, SP, Brazil
Trevisan Carvalho, Danilo Henrique
Oliveira, Nathalia Alves
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机构:
Univ Fed Sao Carlos, Programa Posgrad Enfermagem, Sao Carlos, SP, BrazilUniv Fed Sao Carlos, Programa Posgrad Enfermagem, Sao Carlos, SP, Brazil
Oliveira, Nathalia Alves
Souza, Erica Nestor
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Univ Fed Sao Carlos, Programa Posgrad Enfermagem, Sao Carlos, SP, BrazilUniv Fed Sao Carlos, Programa Posgrad Enfermagem, Sao Carlos, SP, Brazil
机构:
Fudan University,Shanghai Institute for Biomedical and Pharmaceutical Technologies, School of Public HealthFudan University,Shanghai Institute for Biomedical and Pharmaceutical Technologies, School of Public Health
Nazhakaiti Abudukelimu
Peng Zhang
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机构:
Shanghai-MOST Key Laboratory of Health and Disease Genomics,School of ManagementFudan University,Shanghai Institute for Biomedical and Pharmaceutical Technologies, School of Public Health
Peng Zhang
Jing Du
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h-index: 0
机构:
NHC Key Lab of Reproduction Regulation,School of Clinical MedicineFudan University,Shanghai Institute for Biomedical and Pharmaceutical Technologies, School of Public Health
Jing Du
Min Li
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h-index: 0
机构:
Shanghai Institute for Biomedical and Pharmaceutical Technologies,undefinedFudan University,Shanghai Institute for Biomedical and Pharmaceutical Technologies, School of Public Health
Min Li
Yupei Shen
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h-index: 0
机构:
Shanghai-MOST Key Laboratory of Health and Disease Genomics,School of ManagementFudan University,Shanghai Institute for Biomedical and Pharmaceutical Technologies, School of Public Health
Yupei Shen
Yanyan Mao
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h-index: 0
机构:
Shanghai-MOST Key Laboratory of Health and Disease Genomics,School of ManagementFudan University,Shanghai Institute for Biomedical and Pharmaceutical Technologies, School of Public Health
Yanyan Mao
Difei Wang
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h-index: 0
机构:
Shanghai-MOST Key Laboratory of Health and Disease Genomics,School of ManagementFudan University,Shanghai Institute for Biomedical and Pharmaceutical Technologies, School of Public Health
Difei Wang
Qianxi Zhu
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h-index: 0
机构:
Shanghai-MOST Key Laboratory of Health and Disease Genomics,School of ManagementFudan University,Shanghai Institute for Biomedical and Pharmaceutical Technologies, School of Public Health