Intention and automaticity toward physical and sedentary screen-based leisure activities in adolescents: A profile perspective

Marchant, Gonzalo; Chevance, Guillaume; Boiché, Julie

doi:10.1016/j.jshs.2016.08.006

Cited by 6 publications

(3 citation statements)

References 33 publications

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“…Scores were averaged across items to obtain an overall habit score, with higher scores indicating stronger habitual smartphone use behaviour. The scale has been reported as psychometrically sound in previous studies with good reliability, convergent and predictive validity [ 146 , 147 ] and demonstrated good internal consistency in the present study with a Cronbach’s alpha of 0.87 (T1) and 0.89 (T2).…”

Section: Methodssupporting

confidence: 65%

Mind over Matter: Testing the Efficacy of an Online Randomized Controlled Trial to Reduce Distraction from Smartphone Use

Throuvala

Griffiths

Rennoldson

et al. 2020

IJERPH

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Evidence suggests a growing call for the prevention of excessive smartphone and social media use and the ensuing distraction that arises affecting academic achievement and productivity. A ten-day online randomized controlled trial with the use of smartphone apps, engaging participants in mindfulness exercises, self-monitoring and mood tracking, was implemented amongst UK university students (n = 143). Participants were asked to complete online pre- and post-intervention assessments. Results indicated high effect sizes in reduction of smartphone distraction and improvement scores on a number of self-reported secondary psychological outcomes. The intervention was not effective in reducing habitual behaviours, nomophobia, or time spent on social media. Mediation analyses demonstrated that: (i) emotional self-awareness but not mindful attention mediated the relationship between intervention effects and smartphone distraction, and (ii) online vigilance mediated the relationship between smartphone distraction and problematic social media use. The present study provides preliminary evidence of the efficacy of an intervention for decreased smartphone distraction and highlights psychological processes involved in this emergent phenomenon in the smartphone literature. Online interventions may serve as complementary strategies to reduce distraction levels and promote insight into online engagement. More research is required to elucidate the mechanisms of digital distraction and assess its implications in problematic use.

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Section: Methodssupporting

confidence: 65%

Mind over Matter: Testing the Efficacy of an Online Randomized Controlled Trial to Reduce Distraction from Smartphone Use

Throuvala

Griffiths

Rennoldson

et al. 2020

IJERPH

View full text Add to dashboard Cite

show abstract

“…Up to now, a growing body of research has applied a personoriented approach to investigate motivation, though this is limited to modes of self-determined motivation [43][44][45][46][47]. Very few person-oriented studies have broadened the area of constructs (e.g., intention) [48] and examined the association with exercise and sport behavior [47].…”

Section: Introductionmentioning

confidence: 99%

The interaction of behavioral context and motivational-volitional factors for exercise and sport in adolescence: patterns matter

2020

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Background: In order to generate more effective interventions to promote exercise and sport in adolescence, a better understanding of the interaction of influencing factors across different levels is needed. In particular, motivation and volition for exercise and sport, as well as the context in which adolescents are doing exercise and sport, have been identified as important factors. Behavioral context refers to both the organizational setting, e.g., doing exercise and sport in a club, and the social setting, e.g., doing exercise and sport with friends. Extending previous research, the present study applies a person-oriented approach and aims to identify typical behavioral context patterns and motivational-volitional patterns. To validate the patterns, it was examined whether they differ concerning the exercise and sport activity level. Furthermore, the study investigated how behavioral context patterns and motivational-volitional patterns interact. Method: A cross-sectional design with 1155 adolescents (M age = 15.29; 53% female) was applied. A latent profile analysis was used twice to identify typical patterns: once with eight organizational and social setting factors to examine behavioral context patterns, and once with five motivational-volitional factors to examine motivationalvolitional patterns. To validate the patterns identified, the exercise and sport activity level were compared across the patterns using Wald-tests. Finally, transition probabilities and odds ratios were calculated in order to investigate the interaction of the behavioral context and motivational-volitional patterns. Results: Four behavioral context patterns − differing in activity level − were identified: Mostly inactive, non-cluborganized individualists, self-organized individualists and family sportspersons, and traditional competitive club athletes with friends. Furthermore, five motivational-volitional patterns emerged with differing activity levels: three level patterns with overall low, moderate or high motivation and volition, and two shape patterns called the intention-and plan-less and the plan-less motivated. Regarding interaction, the results indicate that one behavioral context pattern is not solely responsible for moderate to high motivation and volition in adolescents. Conclusion: Applying a person-oriented approach allows a more differentiated view of how behavioral context and motivational-volitional factors interact within homogenous subgroups. This, in turn, provides a basis to design tailored multilevel interventions which account for the interaction of influencing factors across different levels.

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“…High levels of sedentary behavior are associated with adverse health outcomes [5,6], but the cognitive determinants of these habits are not well understood [20]. Questionnaires were previously developed to assess where people fall on the spectrum of exercise motivation described above [21][22][23][24][25], which primarily rely on explicit self-reported ratings of individuals' reasons for exercising. While explicit reasoning is important, these measures don't explore underlying cognitive processes.…”

Section: Introductionmentioning

confidence: 99%

Validation of the Activity Preference Assessment: a tool for quantifying children’s implicit preferences for sedentary and physical activities

Fearnbach

Martin

Heymsfield

et al. 2020

Int J Behav Nutr Phys Act

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Background: High levels of sedentary behavior and low physical activity are associated with poor health, and the cognitive determinants of these behaviors in children and adolescents are not well understood. To address this gap, we developed a novel, non-verbal, computer-based assessment to quantify the degree to which youth prefer to be sedentary relative to physically active in their leisure time. Methods: The Activity Preference Assessment (APA) uses a forced-choice paradigm to understand implicit decisionmaking processes when presented with common sedentary and physical activities. The APA bias score ranges from − 100 to + 100, with positive scores indicating a relative preference for sedentary activities, and negative scores representing a preference for physical activities. In 60 children ages 8-17 years, we assessed the validity of this behavioral task against a free-choice play observation, accelerometry-measured activity, anthropometrics and body composition, and cardiorespiratory fitness. We explored neighborhood, family, and individual-level factors that may influence implicit activity preferences. Test-retest reliability was assessed over one week. Results: The majority of children (67%) preferred sedentary relative to physical activities. APA bias scores were positively associated with sedentary time during free-choice play. In girls, bias scores were negatively associated with average daily MVPA. APA bias scores were positively associated with body fat and negatively associated with cardiorespiratory fitness. These findings were independent of age, sex, and race/ethnicity. Neighborhood access to physical activity spaces, the number of people in the home, perceived physical self-competence (e.g., coordination, strength), and self-reported depressive symptoms were associated with activity preferences. The intra-class correlation for test-retest reliability was r = 0.59.

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Intention and automaticity toward physical and sedentary screen-based leisure activities in adolescents: A profile perspective

Cited by 6 publications

References 33 publications

Mind over Matter: Testing the Efficacy of an Online Randomized Controlled Trial to Reduce Distraction from Smartphone Use

Mind over Matter: Testing the Efficacy of an Online Randomized Controlled Trial to Reduce Distraction from Smartphone Use

The interaction of behavioral context and motivational-volitional factors for exercise and sport in adolescence: patterns matter

Validation of the Activity Preference Assessment: a tool for quantifying children’s implicit preferences for sedentary and physical activities

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