| Literature DB >> 26158265 |
Eric D Vidoni1, David K Johnson2, Jill K Morris1, Angela Van Sciver1, Colby S Greer1, Sandra A Billinger3, Joseph E Donnelly4, Jeffrey M Burns1.
Abstract
UNLABELLED: Epidemiological studies suggest a dose-response relationship exists between physical activity and cognitive outcomes. However, no direct data from randomized trials exists to support these indirect observations. The purpose of this study was to explore the possible relationship of aerobic exercise dose on cognition. Underactive or sedentary participants without cognitive impairment were randomized to one of four groups: no-change control, 75, 150, and 225 minutes per week of moderate-intensity semi-supervised aerobic exercise for 26-weeks in a community setting. Cognitive outcomes were latent residual scores derived from a battery of 16 cognitive tests: Verbal Memory, Visuospatial Processing, Simple Attention, Set Maintenance and Shifting, and Reasoning. Other outcome measures were cardiorespiratory fitness (peak oxygen consumption) and measures of function functional health. In intent-to-treat (ITT) analyses (n = 101), cardiorespiratory fitness increased and perceived disability decreased in a dose-dependent manner across the 4 groups. No other exercise-related effects were observed in ITT analyses. Analyses restricted to individuals who exercised per-protocol (n = 77) demonstrated that Simple Attention improved equivalently across all exercise groups compared to controls and a dose-response relationship was present for Visuospatial Processing. A clear dose-response relationship exists between exercise and cardiorespiratory fitness. Cognitive benefits were apparent at low doses with possible increased benefits in visuospatial function at higher doses but only in those who adhered to the exercise protocol. An individual’s cardiorespiratory fitness response was a better predictor of cognitive gains than exercise dose (i.e., duration) and thus maximizing an individual’s cardiorespiratory fitness may be an important therapeutic target for achieving cognitive benefits. TRIAL REGISTRATION: ClinicalTrials.gov NCT01129115.Entities:
Mesh:
Year: 2015 PMID: 26158265 PMCID: PMC4497726 DOI: 10.1371/journal.pone.0131647
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Fig 1Study enrollment flow.
Baseline measures of enrolled participants are provided in Table 1. Of the intent-to-treat (ITT) cohort (n = 101), 8 individuals withdrew due to time or travel concerns, 8 withdrew due to medical issues, 1 was dissatisfied with his group allocation, and 1 was lost to follow-up. Another 6 individuals were non-adherent to the exercise prescription. Those who did not adhere had slightly more education (17.8yrs [3.2] vs 16.1yrs [2.4]) otherwise there were no significant differences. The remaining 77 individuals were included in per-protocol (PP) analyses: control (n = 23), 75min/wk (n = 18), 150min/wk (n = 21), and 225min/wk (n = 15).
Demographic and descriptive baseline data.
| Control (n = 25) | 75min/wk (n = 25) | 150min/wk (n = 27) | 225min/wk (n = 24) | |
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| Age (yrs) | 72.5 (5.8) | 73.5 (5.9) | 72.5 (5.7) | 73.2 (5.3) |
| Education (yrs) | 16.6 (2.4) | 16.1 (2.8) | 16.7 (3.4) | 16.6 (2.2) |
| % Female (n) | 64.0 (16) | 63.0 (16) | 63.0 (17) | 66.7 (16) |
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| VO2 peak (ml/kg/min) | 21.7 (4.2) | 22.4 (4.1) | 21.8 (4.3) | 21.0 (4.5) |
| Total Minutes Exercised | NA | 1595 (481) | 3109 (808) | 3562 (1812) |
| % of Prescribed Minutes Exercised / Week | NA | 82.4 (24.7) | 85.5 (21.3) | 70.1 (32.5) |
| Physical Performance Test | 32.0 (2.2) | 31.8 (3.6) | 32.3 (2.2) | 31.9 (2.6) |
| Late-Life Disability Frequency Total | 52.4 (4.6) | 53.8 (5.8) | 55.7 (4.9) | 53.4 (3.6) |
| Late-Life Function Total | 69.2 (9.0) | 66.6 (9.7) | 68.7 (7.5) | 70.8 (8.2) |
| SF-36 Physical Component | 56.4 (6.7) | 54.2 (9.1) | 56.4 (5.5) | 57.7 (6.2) |
| SF-36 Mental Component | 43.6 (4.2) | 42.7 (5.1) | 41.9 (3.9) | 41.3 (5.0) |
All values are group mean (standard deviation). LLFDI and SF-36 n = 100 due to computer malfunction. Baseline scores on component cognitive tests can be found in S2 Table.
Mean fitness and physical function change from baseline in both the intent-to-treat and per protocol cohorts.
| 26-Week Change | Hypothesis Testing | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Control (n = 25) | 75 min/wk (n = 25) | 150 min/wk (n = 27) | 225 min/wk (n = 24) | Group * Time Interaction | Best Fitting Model | ||||||
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| VO2 peak (% change) | -4.4 | (7.1) | 6.8 | (7.6) | 7.7 | (7.1) | 9.9 | (9.1) | F(3,89) = 14.2, |
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| VO2 peak (ml/kg/min) | -1.0 | (1.6) | 1.4 | (1.5) | 1.7 | (14) | 2.0 | (1.9) | F(3,89) = 16.2, |
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| Physical Performance Test | 0.2 | (1.7) | 0.1 | (2.0) | -0.9 | (1.9) | 0.5 | (2.3) | F(3,133) = 1.4, p = 0.13 | - | |
| Late-Life Disability Frequency Total | 0.0 | (2.0) | 0.7 | (4.2) | 1.3 | (3.9) | 2.3 | (1.1) | F(3,123) = 3.1, |
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| Late-Life Function Total | -0.9 | (9.2) | -0.3 | (4.6) | 0.0 | (5.1) | -0.4 | (7.9) | F(3,117) = 0.3, p = 0.43 | - | |
| SF-36 Physical Component | -0.3 | (6.5) | -0.3 | (4.6) | 0.5 | (6.1) | -0.8 | (7.1) | F(3,125) = 0.3, p = 0.41 | - | |
| SF-36 Mental Component | -1.5 | (4.5) | -0.2 | (15.9) | -0.2 | (4.0) | -0.4 | (5.9) | F(3,153) = 0.3, p = 0.42 | - | |
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| VO2 peak (% change) | -4.4 | (7.1) | 6.4 | (6.7) | 8.7 | (7.4) | 11.0 | (8.9) | F(3,76) = 15.8, |
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| VO2 peak (ml/kg/min) | -1.0 | (1.6) | 1.4 | (1.6) | 1.9 | (1.5) | 2.4 | (1.9) | F(3,76) = 17.9, |
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| Physical Performance Test | 0.1 | (1.7) | 0.1 | (2.0) | -0.5 | (2.0) | -0.1 | (1.5) | F(3,114) = 1.0, p = 0.21 | - | |
| Late-Life Disability Frequency Total | 0.0 | (2.0) | 1.4 | (3.2) | 1.0 | (4.2) | 1.9 | (5.3) | F(3,96) = 2.0, p = 0.06 | - | |
| Late-Life Function Total | -0.9 | (9.2) | 0.0 | (4.9) | 0.7 | (4.7) | 1.0 | (9.2) | F(3,98) = 0.9, p = 0.20 | - | |
| SF-36 Physical Component | -0.3 | (6.5) | -0.1 | (5.2) | 2.0 | (4.9) | 1.1 | (4.8) | F(3,92) = 1.3p = 0.15 | - | |
| SF-36 Mental Component | -1.5 | (4.5) | -0.1 | (6.2) | -0.8 | (4.2) | -1.2 | (5.1) | F(3,122) = 1.3, p = 0.14 | - | |
The Group * Time interaction tests for group differences in response to exercise. The Best Fitting Model was assessed using an orthogonal contrast to test the shape of the dose-response. Both the interaction and the contrast had to reach a level of significance to be adopted as the best fitting model. In the ITT cohort, eleven individuals did not return for follow-up physical function testing and an additional six refused follow-up cardiopulmonary exercise test. Nine individuals did not return for follow-up cognitive testing. All values mean (standard deviation) unless otherwise noted.
Fig 2Visuospatial processing but not attention increases with increasing aerobic exercise dose.
Percent change in VO2 peak (blue bars) increases in a dose-response fashion across the PP exercise groups. The best fitting model of Visuospatial Processing (red bars) follows a similar dose-response pattern. The best fitting model of Simple Attention (green bars) shows that any exercise results in improvement.
Fig 3Cardiorespiratory fitness change mediates exercise duration effects on visuospatial performance.
In the basic model without cardiorespiratory fitness change (%change in VO2 peak over 26 weeks) as a mediator, total number of minutes exercised (Exercise Duration) was associated with change in Visuospatial Processing. When change in cardiorespiratory fitness was added to the model as a potential mediator, it fully mediated the relationship of Exercise Duration and Visuospatial Processing improvement. Betas (Standard Error) are reported as the product of simultaneous regression with bootstrap replacement.