BACKGROUND: To test the hypothesis that leisure time physical activity (PA) is associated with cognitive status. METHODS: We assessed cognition using the Mini-Mental Status Examination (MMSE) at enrollment and using the modified Telephone Interview for Cognitive Status (TICS-m) administered annually since 2001 in the Northern Manhattan Study. Baseline measures of leisure time PA were collected via in-person questionnaires. Total PA was categorized into 3 groups based on the metabolic equivalent (MET) score, a composite of total reported intensity and time. We used linear regression models to examine the association of PA with MMSE, and generalized estimating equations for change in TICS-m over time. RESULTS: There were 3,298 stroke-free participants with MMSE data (mean MMSE 26.0 ± 3.8) and 2,279 with TICS-m scores available. Compared to no PA, those with the upper quartile of MET scores had greater baseline MMSE scores (adjusted β = 0.4, p = 0.01) but no association with change in TICS-m over time. There were interactions (p < 0.05) between PA and both insurance and education; compared to no PA, those in the upper quartile of MET scores had a greater MMSE score only among those with Medicaid/no insurance (adjusted β = 0.83, p = 0.0005) and those who did not complete high school (adjusted β = 0.68, p = 0.001). CONCLUSIONS: Increased levels of PA were associated with better baseline MMSE, particularly among those with socioeconomic disadvantages, but not with cognitive decline.
BACKGROUND: To test the hypothesis that leisure time physical activity (PA) is associated with cognitive status. METHODS: We assessed cognition using the Mini-Mental Status Examination (MMSE) at enrollment and using the modified Telephone Interview for Cognitive Status (TICS-m) administered annually since 2001 in the Northern Manhattan Study. Baseline measures of leisure time PA were collected via in-person questionnaires. Total PA was categorized into 3 groups based on the metabolic equivalent (MET) score, a composite of total reported intensity and time. We used linear regression models to examine the association of PA with MMSE, and generalized estimating equations for change in TICS-m over time. RESULTS: There were 3,298 stroke-free participants with MMSE data (mean MMSE 26.0 ± 3.8) and 2,279 with TICS-m scores available. Compared to no PA, those with the upper quartile of MET scores had greater baseline MMSE scores (adjusted β = 0.4, p = 0.01) but no association with change in TICS-m over time. There were interactions (p < 0.05) between PA and both insurance and education; compared to no PA, those in the upper quartile of MET scores had a greater MMSE score only among those with Medicaid/no insurance (adjusted β = 0.83, p = 0.0005) and those who did not complete high school (adjusted β = 0.68, p = 0.001). CONCLUSIONS: Increased levels of PA were associated with better baseline MMSE, particularly among those with socioeconomic disadvantages, but not with cognitive decline.
Authors: B E Ainsworth; W L Haskell; M C Whitt; M L Irwin; A M Swartz; S J Strath; W L O'Brien; D R Bassett; K H Schmitz; P O Emplaincourt; D R Jacobs; A S Leon Journal: Med Sci Sports Exerc Date: 2000-09 Impact factor: 5.411
Authors: Paul D Thompson; David Buchner; Ileana L Pina; Gary J Balady; Mark A Williams; Bess H Marcus; Kathy Berra; Steven N Blair; Fernando Costa; Barry Franklin; Gerald F Fletcher; Neil F Gordon; Russell R Pate; Beatriz L Rodriguez; Antronette K Yancey; Nanette K Wenger Journal: Circulation Date: 2003-06-24 Impact factor: 29.690
Authors: Joe Verghese; Richard B Lipton; Mindy J Katz; Charles B Hall; Carol A Derby; Gail Kuslansky; Anne F Ambrose; Martin Sliwinski; Herman Buschke Journal: N Engl J Med Date: 2003-06-19 Impact factor: 91.245
Authors: Martha L Daviglus; Carl C Bell; Wade Berrettini; Phyllis E Bowen; E Sander Connolly; Nancy Jean Cox; Jacqueline M Dunbar-Jacob; Evelyn C Granieri; Gail Hunt; Kathleen McGarry; Dinesh Patel; Arnold L Potosky; Elaine Sanders-Bush; Donald Silberberg; Maurizio Trevisan Journal: NIH Consens State Sci Statements Date: 2010-04-28
Authors: Robert D Abbott; Lon R White; G Webster Ross; Kamal H Masaki; J David Curb; Helen Petrovitch Journal: JAMA Date: 2004-09-22 Impact factor: 56.272
Authors: Linda Teri; Laura E Gibbons; Susan M McCurry; Rebecca G Logsdon; David M Buchner; William E Barlow; Walter A Kukull; Andrea Z LaCroix; Wayne McCormick; Eric B Larson Journal: JAMA Date: 2003-10-15 Impact factor: 56.272
Authors: Tatjana Rundek; Magdalena Tolea; Taylor Ariko; Eric A Fagerli; Christian J Camargo Journal: Neurotherapeutics Date: 2021-12-22 Impact factor: 6.088
Authors: Alberto R Ramos; Hannah Gardener; Tatjana Rundek; Mitchell S V Elkind; Bernadette Boden-Albala; Chuanhui Dong; Ying Kuen Cheung; Yaakov Stern; Ralph L Sacco; Clinton B Wright Journal: Neurology Date: 2016-09-02 Impact factor: 9.910