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      Personality traits and physical functioning: a cross-sectional multimethod facet-level analysis

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          Abstract

          Background

          This study aimed to investigate whether personality traits and their facets are associated with a multi-methods assessment of physical activity and walking performance and whether they explain the discrepancy between self-reported and accelerometer-assessed physical activity.

          Methods

          The participants were community-dwelling, 70–85-year-old men and women from Finland ( n = 239) who were part of a clinical trial. Personality traits and their facets were measured using the 240-item NEO Personality Inventory-3. Physical activity was assessed using questions about frequency, intensity and duration of exercise (self-reported metabolic equivalent minutes (MET)) and by tri-axial accelerometers (light and moderate-to-vigorous physical activity and total MET-minutes). Walking performance was measured by 6-min walking distance and 10-m walking speed. Linear regression analyses were controlled for age, sex, education, body mass index, disease burden, and intervention group.

          Results

          The activity facet of extraversion was positively associated with self-reported MET-minutes, accelerometer-assessed light physical activity and walking performance. The positive emotions facet of extraversion was positively associated with self-reported MET-minutes and walking performance. Openness and its facets and the excitement seeking facet of extraversion were positively associated with walking performance. Conscientiousness and most of its facets were associated with both physical activity and walking performance, but these associations were not statistically significant after accounting for all control variables. The impulsiveness facet of neuroticism was negatively associated with accelerometer-assessed light physical activity and walking performance, but the associations with walking performance attenuated after accounting for all control variables. Accelerometer-assessed moderate-to-vigorous physical activity was not associated with personality traits or facets. Discrepancy analyses suggest that openness and the excitement-seeking facet of extraversion were associated with higher self-reported than accelerometer-assessed physical activity.

          Conclusions

          Consistently across methods, older adults who scored higher on facets of extraversion and conscientiousness tended to be more active and outperformed peers on walking performance. Older adults who scored higher in the facets of openness and the excitement-seeking facet of extraversion had better walking performance but also overestimated their self-reported physical activity compared to the accelerometers.

          Supplementary Information

          The online version contains supplementary material available at 10.1186/s11556-020-00251-9.

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          Most cited references52

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          Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing

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            ATS statement: guidelines for the six-minute walk test.

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              2011 Compendium of Physical Activities: a second update of codes and MET values.

              The Compendium of Physical Activities was developed to enhance the comparability of results across studies using self-report physical activity (PA) and is used to quantify the energy cost of a wide variety of PA. We provide the second update of the Compendium, called the 2011 Compendium. The 2011 Compendium retains the previous coding scheme to identify the major category headings and specific PA by their rate of energy expenditure in MET. Modifications in the 2011 Compendium include cataloging measured MET values and their source references, when available; addition of new codes and specific activities; an update of the Compendium tracking guide that links information in the 1993, 2000, and 2011 compendia versions; and the creation of a Web site to facilitate easy access and downloading of Compendium documents. Measured MET values were obtained from a systematic search of databases using defined key words. The 2011 Compendium contains 821 codes for specific activities. Two hundred seventeen new codes were added, 68% (561/821) of which have measured MET values. Approximately half (317/604) of the codes from the 2000 Compendium were modified to improve the definitions and/or to consolidate specific activities and to update estimated MET values where measured values did not exist. Updated MET values accounted for 73% of all code changes. The Compendium is used globally to quantify the energy cost of PA in adults for surveillance activities, research studies, and, in clinical settings, to write PA recommendations and to assess energy expenditure in individuals. The 2011 Compendium is an update of a system for quantifying the energy cost of adult human PA and is a living document that is moving in the direction of being 100% evidence based.
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                Author and article information

                Contributors
                tiia.m.kekalainen@jyu.fi
                Journal
                Eur Rev Aging Phys Act
                Eur Rev Aging Phys Act
                European Review of Aging and Physical Activity
                BioMed Central (London )
                1813-7253
                1861-6909
                24 November 2020
                24 November 2020
                2020
                : 17
                : 20
                Affiliations
                [1 ]GRID grid.9681.6, ISNI 0000 0001 1013 7965, Gerontology Research Center and Faculty of Sport and Health Sciences, , University of Jyväskylä, ; Jyväskylä, Finland
                [2 ]GRID grid.255986.5, ISNI 0000 0004 0472 0419, Department of Geriatrics, College of Medicine, , Florida State University, ; Tallahassee, FL USA
                Author information
                http://orcid.org/0000-0003-0160-727X
                Article
                251
                10.1186/s11556-020-00251-9
                7685629
                33292163
                380defd3-25cd-461e-a57a-dee91eaf7a52
                © The Author(s) 2020

                Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

                History
                : 24 February 2020
                : 4 November 2020
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100003126, Opetus- ja Kulttuuriministeriö;
                Award ID: OKM/49/626/2017
                Award ID: OKM/72/626/2018
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/501100002341, Academy of Finland;
                Award ID: 296843
                Award ID: 323541
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/100000049, National Institute on Aging;
                Award ID: R21AG057917
                Award ID: R01AG053297
                Award Recipient :
                Funded by: Opetus- ja Kulttuuriministeriö (FI)
                Award ID: OKM/92/626/2019
                Award Recipient :
                Categories
                Research Article
                Custom metadata
                © The Author(s) 2020

                Medicine
                physical activity,accelerometer,walking speed,mobility
                Medicine
                physical activity, accelerometer, walking speed, mobility

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