Physical activity, Sleep, and Nutrition Do Not Predict Cognitive Performance in Young and Middle-Aged Adults

Research output: Contribution to journalArticleAcademicpeer-review

2 Downloads (Pure)

Abstract

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, χ2/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, χ2/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.
Original languageEnglish
Article number642
Number of pages13
JournalFrontiers in Psychology
Volume7
DOIs
Publication statusPublished - 3 May 2016

Fingerprint

Biological Factors
Life Style
Sleep
Exercise
Breakfast
Caffeine
Research
Habits
Observational Studies
Fishes
Population
chemotactic factor inactivator

Keywords

  • biological lifestyle factors
  • sedentary behavior
  • The ALOUD study
  • path analysis
  • structural equation modeling
  • trail making test
  • N-back task
  • substitution test

Cite this

@article{70fe4a9d95a248af8e1b6bd4a1717bc7,
title = "Physical activity, Sleep, and Nutrition Do Not Predict Cognitive Performance in Young and Middle-Aged Adults",
abstract = "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, χ2/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, χ2/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.",
keywords = "biological lifestyle factors, sedentary behavior, The ALOUD study, path analysis, structural equation modeling, trail making test, N-back task, substitution test",
author = "J{\'e}r{\^o}me Gijselaers and Elena Barber{\`a} and {De Groot}, Renate and Kirschner, {Paul A.}",
year = "2016",
month = "5",
day = "3",
doi = "10.3389/fpsyg.2016.00642",
language = "English",
volume = "7",
journal = "Frontiers in Psychology",
issn = "1664-1078",
publisher = "Frontiers Media S.A.",

}

Physical activity, Sleep, and Nutrition Do Not Predict Cognitive Performance in Young and Middle-Aged Adults. / Gijselaers, Jérôme; Barberà, Elena; De Groot, Renate; Kirschner, Paul A.

In: Frontiers in Psychology, Vol. 7, 642, 03.05.2016.

Research output: Contribution to journalArticleAcademicpeer-review

TY - JOUR

T1 - Physical activity, Sleep, and Nutrition Do Not Predict Cognitive Performance in Young and Middle-Aged Adults

AU - Gijselaers, Jérôme

AU - Barberà, Elena

AU - De Groot, Renate

AU - Kirschner, Paul A.

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, χ2/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, χ2/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, χ2/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, χ2/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

VL - 7

JO - Frontiers in Psychology

JF - Frontiers in Psychology

SN - 1664-1078

M1 - 642

ER -