The half-marathon participants, who are they and what motivates them for training and competition?

Tjelta, Leif Inge; Kvåle, Per Erik; Shalfawi, Shaher A. I.

doi:10.12697/akut.2017.23.04

Cited by 7 publications

(14 citation statements)

References 9 publications

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“…Our data also suggests that this set of runners presents higher score in autonomous forms of behavior regulation (intrinsic, integrated and identified). Previous research about running motives suggests physical and mental health as the main motives for engaging in running [ 34 – 37 ]. Additionally, these findings are similar with those found with female ultra-runners, proposing general health orientation, self-esteem and psychological coping as the strongest motivational factors [ 35 ], with half, full and ultra-marathoners, identifying health orientation, personal goal achievement and self-esteem [ 36 ].…”

Section: Discussionmentioning

confidence: 99%

Running prevalence in Portugal: Socio-demographic, behavioral and psychosocial characteristics

et al. 2021

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The purpose of this study was to cross-sectionally estimate the prevalence of recreational running in Portugal and describe characteristics of adult recreational runners. A random representative sample of 1068 Portuguese adults was selected. Socio-demographic information, physical activity habits and running behavior were assessed. Recreational runners’ training habits, motivations, barriers, vitality and flow were also assessed. The prevalence of recreational running in Portugal was 10.6%. It was higher in men (14.6% vs. 6.6%, p = .024) and in younger runners (13.6% vs. 7.7%, p = .026). Participants ran on average 3 times, 20 kilometers and 3 hours per week. General health orientation (88%), self-esteem (63%), and life meaning (57%) were the most predominant motives for running, while time was the most prevalent barrier (43%). This first Portuguese running prevalence representative study, indicates that almost 11% of adults ran regularly, and describes correlates of running, which can inform future running promotion interventions.

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Section: Discussionmentioning

confidence: 99%

Running prevalence in Portugal: Socio-demographic, behavioral and psychosocial characteristics

et al. 2021

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“…Nineteen cross-sectional studies described or compared motives between groups of runners. Among the highest-ranked motives reported were physical health (Krouse et al, 2011), psychological motives (Tjelta et al, 2017), health orientation (Malchrowicz-Mośko et al, 2020), and personal achievement (Doppelmayr and Molkenthin, 2004). Less frequent or lowerranked motives were competition (Leedy, 2000), social motives, such as affiliation or social comparison (Malchrowicz-Moko et al, 2018), and also having fun (Tjelta et al, 2017).…”

Section: Antecedents Of Recreational Runningmentioning

confidence: 99%

“…Studies comparing motives between different groups found that age (Ogles and Masters, 2000), gender (Tjelta et al, 2017), experience in running (Masters and Ogles, 1995), training profile (Ogles et al, 1995), and type of event (Doppelmayr and Molkenthin, 2004) were associated with different motives. Younger runners were more motivated by personal goal achievement and competition (Pereira et al, 2021).…”

Section: Antecedents Of Recreational Runningmentioning

confidence: 99%

“…One review has previously examined determinants for running, but with the purpose of developing a self-report questionnaire, and this was conducted using a systematic and comprehensive approach (Masters et al, 1993). Further, that work was published in 1993, and many primary studies (crosssectional, longitudinal, and experimental) have been conducted since then (e.g., Tjelta et al, 2017;Malchrowicz-Moko et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

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Systematic Review of Psychological and Behavioral Correlates of Recreational Running

et al. 2021

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Introduction: The aim of this review was to systematically synthesize the published literature describing the psychological and behavioral correlates of recreational running in adults, defined as running for leisure, with or without a competitive component.Methods: Quantitative research published in peer-reviewed journals until January 2021 were included. Studies were identified through MEDLINE, PsycINFO, SPORTDiscus, and Web of Science and were included in this review if they (1) were aimed at recreational running, (2) included general adult samples (18 years or older, without a diagnosed medical condition or metabolic disorder), and (3) assessed psychological or behavioral correlates of recreational running.Results: Fifty-six articles reporting 58 studies met the eligibility criteria and were included. There were 27 cross-sectional studies, 12 longitudinal studies, and 19 trials (8 non-controlled trials, 5 controlled trials, and 6 randomized controlled trials) (n = 37,501, 18–77 years old, 43% women). Twenty-eight studies assessed antecedents of running behavior, and 25 studies used running behavior as treatment or predictor of a given effect or outcome. Four studies examined both predictors and outcomes of running. Thirty-one studies showed poor quality, while 20 had fair and 7 good quality. Motives were the most frequently studied antecedent of running behavior (k = 19), and results suggest that the highest-ranked or more prevalent motives were physical health, psychological motives, and personal achievement. Additionally, perceived control, attitude toward running, intention and subjective norms, self-efficacy, and social support may have also played a role in the adoption of recreational running. Moreover, improvements in mood (k = 10) and well-being (k = 10) were the most frequently reported positive outcomes of running. Reductions in depression, anxiety, and stress were also reported in included studies.Discussion: To our knowledge, this is the first systematic review on this topic. The identification of behavioral and psychological correlates of recreational running across populations can contribute to inform and guide a public policy agenda, focused on helping people sustain regular physical activity, through a modality they have chosen and appear to enjoy.Systematic Review Registration:https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=68954, identifier: CRD42017068954.

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“…Every runner has their own motives to run and these differ depending on gender, age, experience and running distance (Bell & Stephenson, 2014;Fosberg, 2015;Hanson, Madaras, Dicke, & Buckworth, 2015;Krouse et al, 2011;Kuru, 2016;Masters, Ogles, & Jolton, 1993;Ogles & Masters, 2003;Ogles, Masters, & Richardson, 1995;Rohm, Milner, & McDonald, 2006;Shipway & Holloway, 2013;Stragier, Vanden Abeele, & De Marez, 2018;Tjelta, Kvåle, & Shalfawi, 2018). The feedback content that each individual prefers differs depending on the motive(s) to run (Breedveld, Scheerder, & Borgers, 2015;Deelen, Ettema, & Kamphuis, 2018;Janssen et al, 2017;Stragier et al, 2018;Vos, Janssen, Goudsmit, Lauwerijssen, & Brombacher, 2016).…”

Section: Motives To Run and Differences In Preferred Feedback Contentmentioning

confidence: 99%

Real-time feedback by wearables in running: Current approaches, challenges and suggestions for improvements

Hooren

Goudsmit

Restrepo

et al. 2019

Journal of Sports Sciences

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Injuries and lack of motivation are common reasons for discontinuation of running. Real-time feedback from wearables can reduce discontinuation by reducing injury risk and improving performance and motivation. There are however several limitations and challenges with current real-time feedback approaches. We discuss these limitations and challenges and provide a framework to optimise realtime feedback for reducing injury risk and improving performance and motivation. We first discuss the reasons why individuals run and propose that feedback targeted to these reasons can improve motivation and compliance. Secondly, we review the association of running technique and running workload with injuries and performance and we elaborate how real-time feedback on running technique and workload can be applied to reduce injury risk and improve performance and motivation. We also review different feedback modalities and motor learning feedback strategies and their application to real-time feedback. Briefly, the most effective feedback modality and frequency differ between variables and individuals, but a combination of modalities and mixture of real-time and delayed feedback is most effective. Moreover, feedback promoting perceived competence, autonomy and an external focus can improve motivation, learning and performance. Although the focus is on wearables, the challenges and practical applications are also relevant for laboratory-based gait retraining.

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The half-marathon participants, who are they and what motivates them for training and competition?

Cited by 7 publications

References 9 publications

Running prevalence in Portugal: Socio-demographic, behavioral and psychosocial characteristics

Running prevalence in Portugal: Socio-demographic, behavioral and psychosocial characteristics

Systematic Review of Psychological and Behavioral Correlates of Recreational Running

Real-time feedback by wearables in running: Current approaches, challenges and suggestions for improvements

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