Television viewing and cognitive decline in older age: findings from the English Longitudinal Study of Ageing
- PMID: 30820029
- PMCID: PMC6395805
- DOI: 10.1038/s41598-019-39354-4
Television viewing and cognitive decline in older age: findings from the English Longitudinal Study of Ageing
Abstract
There has been significant interest in the effects of television on cognition in children, but much less research has been carried out into the effects in older adults. This study aimed to explore whether television viewing behaviours in adults aged 50 or over are associated with a decline in cognition. Using data from the English Longitudinal Study of Aging involving 3,662 adults aged 50+, we used multivariate linear regression models to explore longitudinal associations between baseline television watching (2008/2009) and cognition 6 years later (2014/2015) while controlling for demographic factors, socio-economic status, depression, physical health, health behaviours and a range of other sedentary behaviours. Watching television for more than 3.5 hours per day is associated with a dose-response decline in verbal memory over the following six years, independent of confounding variables. These results are found in particular amongst those with better cognition at baseline and are robust to a range of sensitivity analyses exploring reverse causality, differential non-response and stability of television viewing. Watching television is not longitudinally associated with changes in semantic fluency. Overall our results provide preliminary data to suggest that television viewing for more than 3.5 hours per day is related to cognitive decline.
Conflict of interest statement
The authors declare no competing interests.
Similar articles
-
Associations between dehydroepiandrosterone sulphate (DHEAS) and cognitive function in 5,061 older men and women in the English Longitudinal Study of Ageing.Psychoneuroendocrinology. 2020 Jul;117:104702. doi: 10.1016/j.psyneuen.2020.104702. Epub 2020 Apr 30. Psychoneuroendocrinology. 2020. PMID: 32388228
-
Associations Between Sedentary Behaviors and Cognitive Function: Cross-Sectional and Prospective Findings From the UK Biobank.Am J Epidemiol. 2018 Mar 1;187(3):441-454. doi: 10.1093/aje/kwx273. Am J Epidemiol. 2018. PMID: 28992036
-
Exploring the bidirectional associations between loneliness and cognitive functioning over 10 years: the English longitudinal study of ageing.Int J Epidemiol. 2019 Dec 1;48(6):1937-1948. doi: 10.1093/ije/dyz085. Int J Epidemiol. 2019. PMID: 31056641 Free PMC article.
-
Symptom clusters of subjective cognitive decline amongst cognitively normal older persons and their utilities in predicting objective cognitive performance: structural equation modelling.Eur J Neurol. 2019 Sep;26(9):1153-1160. doi: 10.1111/ene.13958. Epub 2019 Apr 30. Eur J Neurol. 2019. PMID: 30924985
-
Cognitive and neuroscientific perspectives of healthy ageing.Neurosci Biobehav Rev. 2024 Jun;161:105649. doi: 10.1016/j.neubiorev.2024.105649. Epub 2024 Apr 4. Neurosci Biobehav Rev. 2024. PMID: 38579902 Review.
Cited by
-
Associations of Cognitively Active Versus Passive Sedentary Behaviors and Cognition in Older Adults.J Phys Act Health. 2024 Jul 31;21(9):928-938. doi: 10.1123/jpah.2024-0003. Print 2024 Sep 1. J Phys Act Health. 2024. PMID: 39084614
-
High cognitive reserve attenuates the risk of dementia associated with cardiometabolic diseases.Alzheimers Res Ther. 2024 Jul 19;16(1):161. doi: 10.1186/s13195-024-01528-2. Alzheimers Res Ther. 2024. PMID: 39030628 Free PMC article.
-
An atlas of trait associations with resting-state and task-evoked human brain functional organizations in the UK Biobank.Imaging Neurosci (Camb). 2023;1:1-23. doi: 10.1162/imag_a_00015. Epub 2023 Sep 7. Imaging Neurosci (Camb). 2023. PMID: 38770197 Free PMC article.
-
Association of Cognitive Reserve Indicator with Cognitive Decline and Structural Brain Differences in Middle and Older Age: Findings from the UK Biobank.J Prev Alzheimers Dis. 2024;11(3):739-748. doi: 10.14283/jpad.2024.54. J Prev Alzheimers Dis. 2024. PMID: 38706290 Free PMC article.
-
Uncovering Predictors of Low Hippocampal Volume: Evidence from a Large-Scale Machine-Learning-Based Study in the UK Biobank.Neuroepidemiology. 2024;58(5):369-382. doi: 10.1159/000538565. Epub 2024 Apr 1. Neuroepidemiology. 2024. PMID: 38560977 Free PMC article.
References
Publication types
MeSH terms
Grants and funding
LinkOut - more resources
Full Text Sources
Other Literature Sources
Medical
