TY - JOUR
T1 - The five-factor model of personality and physical inactivity
T2 - A meta-analysis of 16 samples
AU - Sutin, Angelina R.
AU - Stephan, Yannick
AU - Luchetti, Martina
AU - Artese, Ashley
AU - Oshio, Atsushi
AU - Terracciano, Antonio
N1 - Funding Information:
Data and documentation are available for public download here: Economic and Social Research Council and the University of Essex is gratefully acknowledged. The work reported in this paper is part of the scientific program of the Institute for Social and Economic Research (incorporating the ESRC Research Centre on Micro-social Change and the UK Longitudinal Studies Centre (ULSC). NCDS: We thank The Centre for Longitudinal Studies, Institute of Education for the use of these data and to the UK Data Archive and Economic and Social Data Service for making them available. ELSA: Funding for the English Longitudinal Study of Ageing is provided by the National Institute on Aging [Grants http://www.nhats.org . The US National Study was supported by a planning grant from the Council on Research and Creativity at the Florida State University . BHPS: The support of both the 2RO1AG7644-01A1 and 2RO1AG017644 ] and a consortium of UK government departments coordinated by the Office for National Statistics. LISS: The LISS panel data were collected by CentERdata (Tilburg University, The Netherlands) through its MESS project funded by the Netherlands Organization for Scientific Research . HILDA: This paper uses unit record data from the Household, Income and Labour Dynamics in Australia (HILDA) Survey. The HILDA Project was initiated and is funded by the Australian Government Department of Families, Housing, Community Services and Indigenous Affairs (FaHCSIA) and is managed by the Melbourne Institute of Applied Economic and Social Research (Melbourne Institute). The findings and views reported in this paper, however, are those of the author and should not be attributed to either FaHCSIA or the Melbourne Institute. MIDJA: The MIDJA study (Midlife in Japan) was supported by a grant from the National Institute on Aging ( 5R37AG027343 ).
Funding Information:
This research was supported by a Grant from the National Institute on Aging (Grant number Eunice Kennedy Shriver National Institute of Child Heath and Human Development ( 1R15HD083947 ) to Angelina R. Sutin. Add Health: This research uses data from Add Health funded by grant P01-HD31921, with funding from 23 other federal agencies and foundations. Information about the Add Health data is available at http://www.cpc.unc.edu/addhealth . There was no direct support from P01-HD31921 for this analysis. HRS: The Health and Retirement Study is sponsored by the National Institute on Aging ( NIA-U01AG009740 ) and conducted by the University of Michigan. HRS data is publically available at http://hrsonline.isr.umich.edu/ . MIDUS: MIDUS is sponsored by the MacArthur Foundation Research Network on Successful Midlife Development (MIDUS I), the National Institute on Aging ( P01-AG020166 ; MIDUS II), and grants from the General Clinical Research Centers Program ( M01-RR023942 , M01-RR00865 ) and the National Center for Advancing Translational Sciences ( UL1TR000427 ). MIDUS data is publically available at http://midus.wisc.edu/index.php . NLSY: The National Longitudinal Surveys (NLS) are a suite of studies administered by the Bureau of Labor Statistics. Data and documentation for the NLSY-CY are available for public download here: http://www.bls.gov/nls/ . WLSG and WLSS: This research uses data from the Wisconsin Longitudinal Study (WLS) of the University of Wisconsin-Madison. Since 1991, the WLS has been supported principally by the National Institute on Aging ( AG-9775 , AG-21079 , AG-033285 , and AG-041868 ), with additional support from the Vilas Estate Trust , the National Science Foundation , the Spencer Foundation , and the Graduate School of the University of Wisconsin-Madison . Since 1992, data have been collected by the University of Wisconsin Survey Center. A public use file of data from the Wisconsin Longitudinal Study is available from the Wisconsin Longitudinal Study, University of Wisconsin-Madison, 1180 Observatory Drive, Madison, Wisconsin 53706 and at http://www.ssc.wisc.edu/wlsresearch/data/ . The opinions expressed herein are those of the authors. NHATS: The National Health and Aging Trends Study (NHATS) is sponsored by the NIA U01AG032947 ) through a cooperative agreement with the Johns Hopkins Bloomberg School of Public Health.
Publisher Copyright:
© 2016 Elsevier Inc.
PY - 2016/8/1
Y1 - 2016/8/1
N2 - A sedentary lifestyle is harmful for health; personality traits may contribute to physical (in)activity. With participant-level data from 16 samples (N > 125,000), we examined the personality correlates of physical inactivity, frequency of physical activity, and sedentary behavior (in a subset of samples). Lower Neuroticism and higher Conscientiousness were associated with more physical activity and less inactivity and sedentary behavior. Extraversion and Openness were also associated with more physical activity and less inactivity, but these traits were mostly unrelated to specific sedentary behaviors (e.g., TV watching). The results generally did not vary by age or sex. The findings support the notion that the interest, motivational, emotional, and interpersonal processes assessed by five-factor model traits partly shape the individual's engagement in physical activity.
AB - A sedentary lifestyle is harmful for health; personality traits may contribute to physical (in)activity. With participant-level data from 16 samples (N > 125,000), we examined the personality correlates of physical inactivity, frequency of physical activity, and sedentary behavior (in a subset of samples). Lower Neuroticism and higher Conscientiousness were associated with more physical activity and less inactivity and sedentary behavior. Extraversion and Openness were also associated with more physical activity and less inactivity, but these traits were mostly unrelated to specific sedentary behaviors (e.g., TV watching). The results generally did not vary by age or sex. The findings support the notion that the interest, motivational, emotional, and interpersonal processes assessed by five-factor model traits partly shape the individual's engagement in physical activity.
KW - Conscientiousness
KW - Five factor model
KW - Personality
KW - Physical activity
KW - Sedentary behavior
UR - http://www.scopus.com/inward/record.url?scp=84966344067&partnerID=8YFLogxK
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U2 - 10.1016/j.jrp.2016.05.001
DO - 10.1016/j.jrp.2016.05.001
M3 - Article
AN - SCOPUS:84966344067
SN - 0092-6566
VL - 63
SP - 22
EP - 28
JO - Journal of Research in Personality
JF - Journal of Research in Personality
ER -