Cross-Sectional Associations Between the Five Factor Personality Traits and Leisure-Time Sitting-Time: The Effect of General Self-Efficacy

被引:17
|
作者
Ebstrup, Jeanette Frost [1 ]
Aadahl, Mette [1 ]
Eplov, Lene Falgaard [2 ]
Pisinger, Charlotta [1 ]
Jorgensen, Torben [1 ]
机构
[1] Capital Reg Denmark, Res Ctr Prevent & Hlth, Glostrup, Denmark
[2] Bispebjerg Hosp, Mental Hlth Ctr Copenhagen, Res Unit Rehabil Recovery & Shared Care, Copenhagen, Denmark
来源
JOURNAL OF PHYSICAL ACTIVITY & HEALTH | 2013年 / 10卷 / 04期
关键词
sedentary behavior; NEO-FFI; mediation; general population; TELEVISION VIEWING TIME; PHYSICAL-ACTIVITY; CARDIOVASCULAR-DISEASE; LIFE-STYLE; HEALTH; MORTALITY; MEDIATOR; RISK; BIOMARKERS; BEHAVIORS;
D O I
10.1123/jpah.10.4.572
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
Background: Leisure-time sitting-time (LTST) is seen as a possible independent risk-factor for physical and mental health, but research on psychological determinants is sparse. Associations between sitting-time and the personality dimensions of neuroticism, extroversion, openness, agreeableness, and conscientiousness, and the role of general self-efficacy (GSE) were investigated. Methods: A population-based, cross-sectional study was conducted at the Research Centre for Prevention and Health, Denmark, in 2006-08. Men and women (N = 3471) aged 18 to 69, were randomly sampled in the suburbs of Copenhagen. The NEO Five-Factor Inventory, the General Self-Efficacy-Scale, and the Physical Activity Scale 2 were used. Results: Negative associations were found between LTST and extroversion, conscientiousness, and openness, while neuroticism showed a positive association (R-2 = .13). The associations with agreeableness became significantly positive, when GSE was included. All 5 associations were mediated by GSE, with mediation proportions between 23%-60%; but with modest effect sizes. Conclusions: These cross-sectional results indicate that personality traits and GSE could be considered as associates of LTST; but future longitudinal data are necessary to make causal statements and rule out alternative models fitting data.
引用
收藏
页码:572 / 580
页数:9
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