Dose-Response Association Between Physical Activity (Daily MIMS, Peak 30-Minute MIMS) and Cognitive Function Among Older Adults: NHANES 2011-2014
被引:19
作者:
Zheng, Peixuan
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Univ Alabama, Dept Kinesiol, 620 Judy Bonner Dr, Tuscaloosa, AL 35487 USAUniv Alabama, Dept Kinesiol, 620 Judy Bonner Dr, Tuscaloosa, AL 35487 USA
Zheng, Peixuan
[1
]
Pleuss, James D.
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NATO Allied Land Command, Izmir, Turkey
Stevens Inst Technol, Dept Comp Sci, Hoboken, NJ 07030 USAUniv Alabama, Dept Kinesiol, 620 Judy Bonner Dr, Tuscaloosa, AL 35487 USA
Pleuss, James D.
[2
,3
]
Turner, Dusty S.
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Ctr Army Anal, Ft Belvoir, VA USA
Baylor Univ, Dept Stat Sci, Waco, TX 76798 USAUniv Alabama, Dept Kinesiol, 620 Judy Bonner Dr, Tuscaloosa, AL 35487 USA
Turner, Dusty S.
[4
,5
]
Ducharme, Scott W.
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Calif State Univ Long Beach, Dept Kinesiol, Long Beach, CA 90840 USAUniv Alabama, Dept Kinesiol, 620 Judy Bonner Dr, Tuscaloosa, AL 35487 USA
Ducharme, Scott W.
[6
]
Aguiar, Elroy J.
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Univ Alabama, Dept Kinesiol, 620 Judy Bonner Dr, Tuscaloosa, AL 35487 USAUniv Alabama, Dept Kinesiol, 620 Judy Bonner Dr, Tuscaloosa, AL 35487 USA
Aguiar, Elroy J.
[1
]
机构:
[1] Univ Alabama, Dept Kinesiol, 620 Judy Bonner Dr, Tuscaloosa, AL 35487 USA
Background The purpose of this study was to determine the dose-response association between habitual physical activity (PA) and cognitive function using a nationally representative data set of U.S. older adults aged >= 60 years. Methods We used data from the 2011-2014 National Health and Nutrition Examination Survey (n = 2 441, mean [SE] age: 69.1 [0.2] years, 54.7% females). Cognitive function was assessed using the digit symbol substitution test (DSST) and animal fluency test (AFT). Habitual PA was collected using a triaxial accelerometer worn on participants' nondominant wrist. PA was expressed as 2 metrics using monitor-independent movement summary (MIMS) units: the average of Daily MIMS (MIMS/day) and peak 30-minute MIMS (Peak-30(MIMS); the average of the highest 30 MIMS min/d). Sample weight-adjusted multivariable linear regression was performed to determine the relationship between each cognitive score and MIMS metric while adjusting for covariates. Results After controlling for covariates, for each 1 000-unit increase in Daily MIMS, DSST score increased (beta-coefficient [95% CIs]) by 0.67 (0.40, 0.93), whereas AFT score increased by 0.13 (0.04, 0.22); for each 1-unit increase in Peak-30(MIMS), DSST score increased by 0.56 (0.42, 0.70), whereas AFT score increased by 0.10 (0.05, 0.15), all p < .001. When including both MIMS metrics in a single model, the association between Peak-30(MIMS) and cognitive scores remained significant (p < .01), whereas Daily MIMS did not. Conclusions Our findings suggest that higher PA (both daily accumulated and peak effort) is associated with better cognitive function in the U.S. older adult population.
机构:
Capital Med Univ, Beijing TianTan Hosp, Dept Gen Practice, Beijing, Peoples R ChinaCapital Med Univ, Beijing TianTan Hosp, Dept Gen Practice, Beijing, Peoples R China
Lv, Taihong
Yu, Hanming
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China Med Univ, Affiliated Hosp 4, Dept Pulm & Crit Care Med, Shenyang, Peoples R ChinaCapital Med Univ, Beijing TianTan Hosp, Dept Gen Practice, Beijing, Peoples R China
Yu, Hanming
Ji, Zishuo
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Capital Med Univ, Beijing TianTan Hosp, Dept Neurol, Beijing, Peoples R ChinaCapital Med Univ, Beijing TianTan Hosp, Dept Gen Practice, Beijing, Peoples R China
Ji, Zishuo
Ma, Li
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Capital Med Univ, Beijing TianTan Hosp, Dept Gen Practice, Beijing, Peoples R ChinaCapital Med Univ, Beijing TianTan Hosp, Dept Gen Practice, Beijing, Peoples R China
机构:
George Washington Univ, Sch Publ Hlth, Milken Inst, Dept Epidemiol, Washington, DC 20052 USAGeorge Washington Univ, Sch Publ Hlth, Milken Inst, Dept Epidemiol, Washington, DC 20052 USA
Wei, Jingkai
Hou, Ruixue
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Icahn Sch Med Mt Sinai, Dept Populat Hlth Sci & Policy, New York, NY 10029 USAGeorge Washington Univ, Sch Publ Hlth, Milken Inst, Dept Epidemiol, Washington, DC 20052 USA
Hou, Ruixue
Xie, Liyang
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Univ Pittsburgh, Med Res Ctr, Pittsburgh, PA USAGeorge Washington Univ, Sch Publ Hlth, Milken Inst, Dept Epidemiol, Washington, DC 20052 USA
Xie, Liyang
Chandrasekar, Eeshwar K.
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Emory Univ, Sch Med, Atlanta, GA USAGeorge Washington Univ, Sch Publ Hlth, Milken Inst, Dept Epidemiol, Washington, DC 20052 USA
Chandrasekar, Eeshwar K.
Lu, Haidong
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Univ North Carolina Chapel Hill, Gillings Sch Global Publ Hlth, Dept Epidemiol, Chapel Hill, NC USAGeorge Washington Univ, Sch Publ Hlth, Milken Inst, Dept Epidemiol, Washington, DC 20052 USA
Lu, Haidong
Wang, Tiansheng
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Univ North Carolina Chapel Hill, Gillings Sch Global Publ Hlth, Dept Epidemiol, Chapel Hill, NC USAGeorge Washington Univ, Sch Publ Hlth, Milken Inst, Dept Epidemiol, Washington, DC 20052 USA
Wang, Tiansheng
Li, Changwei
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Tulane Univ, Sch Publ Hlth & Trop Med, Dept Epidemiol, New Orleans, LA USAGeorge Washington Univ, Sch Publ Hlth, Milken Inst, Dept Epidemiol, Washington, DC 20052 USA
Li, Changwei
Xu, Hanzhang
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Duke Univ, Sch Med, Dept Family Med & Community Hlth, Durham, NC USA
Duke Univ, Sch Nursing, Durham, NC USAGeorge Washington Univ, Sch Publ Hlth, Milken Inst, Dept Epidemiol, Washington, DC 20052 USA
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Pharmavite LLC, Sci & Technol, 8531 Fallbrook Ave, West Hills, CA 91304 USAPharmavite LLC, Sci & Technol, 8531 Fallbrook Ave, West Hills, CA 91304 USA
Devarshi, Prasad P.
Gustafson, Kelsey
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Pharmavite LLC, Sci & Technol, 8531 Fallbrook Ave, West Hills, CA 91304 USAPharmavite LLC, Sci & Technol, 8531 Fallbrook Ave, West Hills, CA 91304 USA
Gustafson, Kelsey
Grant, Ryan W.
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Pharmavite LLC, Sci & Technol, 8531 Fallbrook Ave, West Hills, CA 91304 USAPharmavite LLC, Sci & Technol, 8531 Fallbrook Ave, West Hills, CA 91304 USA
Grant, Ryan W.
Mitmesser, Susan Hazels
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Pharmavite LLC, Sci & Technol, 8531 Fallbrook Ave, West Hills, CA 91304 USAPharmavite LLC, Sci & Technol, 8531 Fallbrook Ave, West Hills, CA 91304 USA