SEARCHCOHORTepidemiology, public health

cohort·epidemiology, public health, neurology, geriatrics, observational study·PMC10034093

Association between rest-activity rhythm and cognitive function in the elderly: The U.S. National Health and Nutrition Examination Survey, 2011-2014

Frontiers in Endocrinology · 5 authors, 3 centres

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TL;DR

Cognitive function was assessed using three validated tests: CERAD W-L (memory), AFT (executive function), and DSST (processing speed and global cognition).

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Cognitive function was assessed using three validated tests: CERAD W-L (memory), AFT (executive function), and DSST (processing speed and global cognition). Linear regression models were used to examine associations between RAR parameters and cognitive scores after adjusting for potential confounders. Lower IS and M10 were associated with lower CERAD W-L scores; weaker RA and higher L5 were associated with lower AFT scores; and lower IS, RA, and higher L5 were associated with lower DSST scores. Sensitivity analyses confirmed the robustness of these associations. Limitations include the cross-sectional design, which precludes causal inference, potential residual confounding from unmeasured biomarkers, and inability to exclude shift workers. These findings suggest that disrupted rest-activity rhythms are associated with cognitive decline across multiple domains in older Americans.

STUDY TYPE

cohort

SPECIALTY

epidemiology

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ORIGINAL PAPER

PMC10034093

Association between rest-activity rhythm and cognitive function in the elderly: The U.S. National Health and Nutrition Examination Survey, 2011-2014

Frontiers in Endocrinology

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ABSTRACT

Abstract Background Circadian rhythm plays an essential role in various physiological and pathological processes related to cognitive function. The rest-activity rhythm (RAR) is one of the most prominent outputs of the circadian system. However, little is known about the relationships between RAR and different domains of cognitive function in older adults. The purpose of this study was to examine the relationships between RAR and various fields of cognitive function in older Americans. Methods This study included a total of 2090 older adults ≥ 60 years old from the National Health and Nutrition Examination Survey (NHANES) in 2011-2014. RAR parameters were derived from accelerometer recordings. Cognitive function was assessed using the word learning subtest developed by the Consortium to Establish a Registry for Alzheimer’s disease (CERAD W-L), the Animal Fluency Test (AFT) and the Digital Symbol Substitution Test (DSST). Linear regression was used to determine the relationships between RAR parameters (IS, IV, RA, L5, M10) and cognitive function scores (CERAD W-L, AFT, DSST). Results After adjusting for potential confounders, lower IS and M10 were associated with lower CERAD W-L scores ( P =0.033 and P =0.002, respectively). Weaker RA and higher L5 were associated with lower AFT scores ( P <0.001 and P =0.001, respectively). And lower IS, RA, and higher L5 were associated with lower DSST scores ( P =0.019, P <0.001 and P <0.001, respectively). In addition, the results of sensitivity analysis were similar to those of our main analyses. The main correlation results between the RAR indicators and cognitive function were robust. Conclusions This study suggested that the weakened and/or disrupted RAR was associated with cognitive decline in different domains in Americans over the age of 60. Keywords: rest-activity rhythm, circadian rhythm, cognitive function, older adult, NHANES

CITATION EXPORT

Xinyi Sun, Weiwei Yu, Mingsi Wang et al.. Association between rest-activity rhythm and cognitive function in the elderly: The U.S. National Health and Nutrition Examination Survey, 2011-2014. Frontiers in Endocrinology. (2023). https://doi.org/10.3389/fendo.2023.1135085

AUTHORS

5 · 3 CENTRES

Xinyi Sun, Weiwei Yu, Mingsi Wang, Jun Hu, Yunong Li

1 Department of Neurology, Peking University Shenzhen Hospital, Shenzhen, China
2 National Key Discipline, Department of Nutrition and Food Hygiene, School of Public Health, Harbin Medical University, Harbin, China
3 Department of Health Economics, College of Health Management of Harbin Medical University, Harbin, China