TY - JOUR
T1 - Physical Activity, Sleep, and Nutrition Do Not Predict Cognitive Performance in Young and Middle -Aged Adults
AU - Gijselaers, Hieronymus J. M.
AU - Barbera, Elena
AU - Kirschner, Paul A.
AU - de Groot, Renate H. M.
PY - 2016/5/3
Y1 - 2016/5/3
N2 - Biological lifestyle factors (BLFs) such as physical activity, sleep, and nutrition play a role in cognitive functioning. Research concerning the relation between BLFs and cognitive performance is scarce however, especially in young and middle-aged adults. Research has not yet focused on a multidisciplinary approach with respect to this relation in the abovementioned population, where lifestyle habits are more stable. The aim of this study was to examine the contribution of these BLFs to cognitive performance. Path analysis was conducted in an observational study in which 1131 adults were analyzed using a cross-validation approach. Participants provided information on physical activity, sedentary behavior, chronotype, sleep duration, sleep quality, and the consumption of breakfast, fish, and caffeine via a survey. Their cognitive performance was measured using objective digital cognitive tests. Exploration yielded a predictive cohesive model that fitted the data properly, chi(2)/df = 0.8, CFI = 1.00, RMSEA <0.001, SRMR = 0.016. Validation of the developed model indicated that the model fitted the data satisfactorily, chi(2)/df = 2.75, CFI = 0.95, RMSEA <0.056, SRMR = 0.035. None of the variables within the BLFs were predictive for any of the cognitive performance measures, except for sedentary behavior. Although sedentary behavior was positively predictive for processing speed its contribution was small and unclear. The results indicate that the variables within the BLFs do not predict cognitive performance in young and middle-aged adults.
AB - Biological lifestyle factors (BLFs) such as physical activity, sleep, and nutrition play a role in cognitive functioning. Research concerning the relation between BLFs and cognitive performance is scarce however, especially in young and middle-aged adults. Research has not yet focused on a multidisciplinary approach with respect to this relation in the abovementioned population, where lifestyle habits are more stable. The aim of this study was to examine the contribution of these BLFs to cognitive performance. Path analysis was conducted in an observational study in which 1131 adults were analyzed using a cross-validation approach. Participants provided information on physical activity, sedentary behavior, chronotype, sleep duration, sleep quality, and the consumption of breakfast, fish, and caffeine via a survey. Their cognitive performance was measured using objective digital cognitive tests. Exploration yielded a predictive cohesive model that fitted the data properly, chi(2)/df = 0.8, CFI = 1.00, RMSEA <0.001, SRMR = 0.016. Validation of the developed model indicated that the model fitted the data satisfactorily, chi(2)/df = 2.75, CFI = 0.95, RMSEA <0.056, SRMR = 0.035. None of the variables within the BLFs were predictive for any of the cognitive performance measures, except for sedentary behavior. Although sedentary behavior was positively predictive for processing speed its contribution was small and unclear. The results indicate that the variables within the BLFs do not predict cognitive performance in young and middle-aged adults.
KW - biological lifestyle factors
KW - sedentary behavior
KW - the ALOUD study
KW - path analysis
KW - structural equation modeling
KW - trail making test
KW - N-back task
KW - substitution test
U2 - 10.3389/fpsyg.2016.00642
DO - 10.3389/fpsyg.2016.00642
M3 - Article
C2 - 27199867
SN - 1664-1078
VL - 7
JO - Frontiers in Psychology
JF - Frontiers in Psychology
M1 - 642
ER -