Cross-sectional associations between personality traits and device-based measures of step count and sedentary behaviour in older age: The Lothian Birth Cohort 1936

Iva Čukić, Catharine R. Gale, Sebastien F.M. Chastin, Philippa M. Dall*, Manon L. Dontje, Dawn A. Skelton, Ian J. Deary, Simon Cox, Elaine Coulter, Geoff Der, Claire Fitzsimons, Jason Gill, Malcolm Granat, Cindy Gray, Carolyn Greig, Elaine Hindle, Karen Laird, Gillian Mead, Nanette Mutrie, Victoria PalmerRatko Radaković, Naveed Sattar, Richard Shaw, John Starr, Sally Stewart, Sally Wyke

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

Background: While the associations between personality traits and self-reported physical activity are well replicated, few studies have examined the associations between personality and device-based measures of both physical activity and sedentary behaviour. Low levels of physical activity and high levels of sedentary behaviour are known risk factors for poorer health outcomes in older age. Methods: We used device-based measures of physical activity and sedentary behaviour recorded over 7 days in 271 79-year-old participants of the Lothian Birth Cohort 1936. Linear regression models were used to assess whether personality traits were cross-sectionally associated with step count, sedentary time, and the number of sit-to-stand transitions. Personality traits were entered one at a time, and all-together, controlling for age and sex in Model 1 and additionally for BMI and limiting long-term illness in Model 2. Results: None of the associations between personality traits and measures of physical activity and sedentary behaviours remained significant after controlling for multiple-comparisons using the False Discovery Rate test (all ps >.07). Conclusions: We found no evidence that personality traits are associated with device-based measures of physical activity or sedentary behaviour in older age. More studies are needed to replicate and examine the nature of these relationships.

Original languageEnglish
Article number302
JournalBMC Geriatrics
Volume19
Issue number1
DOIs
Publication statusPublished - 10 Nov 2019

Bibliographical note

Funding Information:
The Seniors USP (understanding sedentary patterns) project is funded by the UK Medical Research Council (MRC) as part of the Lifelong Health and Wellbeing Initiative (LLHW) [MR/K025023/1]. LBC1936 data collection are supported by the Disconnected Mind project (funded by Age UK and MRC [MR/M01311/1 and G1001245/96099] and undertaken within the University of Edinburgh Centre for Cognitive Ageing and Cognitive Epidemiology (funded by the BBSRC and MRC as part of the LLHW [MR/K026992/1]). The funding bodies had no role in study design, data collection, analysis, data interpretation or writing the manuscript.

Funding Information:
The named authors present the study on behalf of the Seniors USP Team, which comprises: Dawn A Skelton (PI), Sebastien Chastin, Simon Cox, Elaine Coulter, Iva Čukić, Philippa Dall, Ian Deary, Geoff Der, Manon Dontje, Claire Fitzsimons, Catharine Gale, Jason Gill, Malcolm Granat, Cindy Gray, Carolyn Greig, Elaine Hindle, Karen Laird, Gillian Mead, Nanette Mutrie, Victoria Palmer, Ratko Radaković, Naveed Sattar, Richard Shaw, John Starr, Sally Stewart, Sally Wyke. Apart from the named authors, no other Seniors USP Team member qualifies for authorship of this article. The Seniors USP (understanding sedentary patterns) project is funded by the UK Medical Research Council (MRC) as part of the Lifelong Health and Wellbeing Initiative (LLHW) [MR/K025023/1]. The Lothian Birth Cohort 1936 (LBC1936) thank the cohort members, investigators, research associates and team members. LBC1936 data collection are supported by the Disconnected Mind project (funded by Age UK and MRC [MR/M01311/1 and G1001245/ 96077]) and undertaken within the University of Edinburgh Centre for Cognitive Ageing and Cognitive Epidemiology (funded by the BBSRC and MRC as part of the LLHW [MR/K026992/1]).

Publisher Copyright:
© 2019 The Author(s).

Keywords

  • activPAL
  • Device-based measures
  • Older age
  • Personality traits
  • Physical activity
  • Sedentary behaviour

ASJC Scopus subject areas

  • Geriatrics and Gerontology

Fingerprint

Dive into the research topics of 'Cross-sectional associations between personality traits and device-based measures of step count and sedentary behaviour in older age: The Lothian Birth Cohort 1936'. Together they form a unique fingerprint.

Cite this