Personality correlates of exercise behavior, motives, barriers and preferences: An application of the five-factor model

Courneya, Kerry S.; Hellsten, Laurie

doi:10.1016/s0191-8869(97)00231-6

Cited by 239 publications

(246 citation statements)

References 14 publications

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“…In the health domain, impulsive individuals tend to engage in the behaviors that increase the chances of developing metabolic syndrome. For example, they tend to weigh more (Terracciano et al 2009), smoke (Terracciano and Costa 2004), exercise less (Courneya and Hellsten 1998), and engage in binge eating or drinking (Benjamin and Wulfert 2005). These behaviors, in turn, may partially mediate the association between impulsivity and poor health (Sutin et al 2010a).…”

Section: Discussionmentioning

confidence: 99%

Personality and metabolic syndrome

Sutin

Costa

Uda

et al. 2010

AGE

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The prevalence of metabolic syndrome has paralleled the sharp increase in obesity. Given its tremendous physical, emotional, and financial burden, it is of critical importance to identify who is most at risk and the potential points of intervention. Psychological traits, in addition to physiological and social risk factors, may contribute to metabolic syndrome. The objective of the present research is to test whether personality traits are associated with metabolic syndrome in a large community sample. Participants (N= 5,662) from Sardinia, Italy, completed a comprehensive personality questionnaire, the NEO-PI-R, and were assessed on all components of metabolic syndrome (waist circumference, triglycerides, highdensity lipoprotein cholesterol, blood pressure, and fasting glucose). Logistic regressions were used to predict metabolic syndrome from personality traits, controlling for age, sex, education, and current smoking status. Among adults over age 45 (n= 2,419), Neuroticism and low Agreeableness were associated with metabolic syndrome, whereas high Conscientiousness was protective. Individuals who scored in the top 10% on Conscientiousness were approximately 40% less likely to have metabolic syndrome (OR=0.61, 95% CI=0.41-0.92), whereas those who scored in the lowest 10% on Agreeableness were 50% more likely to have it (OR=1.53, 95% CI= 1.09-2.16). At the facet level, traits related to impulsivity and hostility were the most strongly associated with metabolic syndrome. The present research indicates that those with fewer psychological resources are more vulnerable to metabolic syndrome and suggests a psychological component to other established risk factors.

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Section: Discussionmentioning

confidence: 99%

Personality and metabolic syndrome

Sutin

Costa

Uda

et al. 2010

AGE

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“…In the present study, Conscientiousness was found to be positively related to both exercise addiction and study addiction. There are no previous studies that have linked or associated exercise addiction with Conscientiousness, although previous studies have found a positive association between Conscientiousness and exercise behavior (Courneya & Hellsten, 1998). Empirical research into study addiction is extremely scarce, but previous studies on a related behavior (i.e., workaholism), have showed it to be positively associated with Conscientiousness (Andreassen et al, 2010;Aziz & Tronzo, 2011;Burke et al, 2006).…”

Section: Conscientiousnessmentioning

confidence: 99%

The relationships between behavioral addictions and the five-factor model of personality

Andreassen¹,

Griffiths²,

Gjertsen³

et al. 2013

Journal of Behavioral Addictions

469

330

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Aims: Although relationships between addiction and personality have previously been explored, no study has ever simultaneously investigated the interrelationships between several behavioral addictions, and related these to the main dimensions of the five-factor model of personality. Methods: In this study, 218 university students completed questionnaires assessing seven different behavioral addictions (i.e., Facebook addiction, video game addiction, Internet addiction, exercise addiction, mobile phone addiction, compulsive buying, and study addiction) as well as an instrument assessing the main dimensions of the five-factor model of personality. Results: Of the 21 bivariate intercorrelations between the seven behavioral addictions, all were positive (and nine significantly). The results also showed that (i) Neuroticism was positively associated with Internet addiction, exercise addiction, compulsive buying, and study addiction, (ii) Extroversion was positively associated with Facebook addiction, exercise addiction, mobile phone addiction, and compulsive buying, (iii) Openness to experience was negatively associated with Facebook addiction and mobile phone addiction, (iv) Agreeableness was negatively associated with Internet addiction, exercise addiction, mobile phone addiction, and compulsive buying, and (v) Conscientiousness was negatively associated with Facebook addiction, video game addiction, Internet addiction, and compulsive buying and positively associated with exercise addiction and study addiction. Conclusions: The positive associations between the seven behavioral addictions suggest one or several underlying pathological factors. Hierarchical multiple regressions showed that personality traits explained between 6% and 17% of the variance in the seven behavioral addictions, suggesting that personality to a varying degree explains scores on measures of addictive behaviors.

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“…Because personality remains constant over time, this would allow for a longer-term personalization. Courneya et al [10] showed that exercise behavior, motives, barriers, and preferences were correlated to the personality traits of the Big Five. For instance, it was found that Openness was positively correlated to health and stress relief, Extraversion was positively correlated to exercising with other people, Extraversion and Openness were negatively correlated to supervised exercise, and Agreeableness was negatively correlated to competitiveness.…”

Section: Introductionmentioning

confidence: 99%

A word of advice: how to tailor motivational text messages based on behavior change theory to personality and gender

Vries

Truong

Zaga

et al. 2017

Pers Ubiquit Comput

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Developing systems that motivate people to change their behaviors, such as an exercise application for the smartphone, is challenging. One solution is to implement motivational strategies from existing behavior change theory and tailor these strategies to preferences based on personal characteristics, like personality and gender. We operationalized strategies by collecting representative motivational text messages and aligning the messages to ten theory-based behavior change strategies. We conducted an online survey with 350 participants, where the participants rated 50 of our text messages (each aligned to one of the ten strategies) on how motivating they found them. Results show that differences in personality and gender relate to significant differences in the evaluations of nine out of ten strategies. Eight out of ten strategies were perceived as either more or less motivating in relation to scores on the personality traits Openness, Extraversion, and Agreeableness. Four strategies were perceived as more motivating by men than by women. These findings show that personality and gender influence how motivational strategies are perceived. We conclude that our theory-based behavior change strategies can be more motivating by tailoring them to personality and gender of users of behavior change systems.

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Personality correlates of exercise behavior, motives, barriers and preferences: An application of the five-factor model

Cited by 239 publications

References 14 publications

Personality and metabolic syndrome

Personality and metabolic syndrome

The relationships between behavioral addictions and the five-factor model of personality

A word of advice: how to tailor motivational text messages based on behavior change theory to personality and gender

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