Abstract:Demonstrating health disparities related to race, age, and gender, older Black women (BW) are the most sedentary demographic group in the United States. Increasing PA in mid-life is important, as it improves health as BW age into their later years. Advancing our understanding of the exercise motives of BW triathletes presents a "reverse engineering" opportunity to identify motives that could influence sedentary mid-life BW to increase their activity. The purposes of this study were to: (a) utilize an innovativ… Show more
“…The scale has been adapted for the use with participants in many different sports (Ogles and Masters, 2003; LaChausse, 2006; Ruiz and Sancho, 2011). For instance, Heazlewood et al (2012) used the MOMS to investigate the motivations of athletes competing in various sports as part of the 2010 Pan Pacific Masters Games, and Brown et al (2018) used it for black female master triathletes.…”
The aim of this study was to compare the motivations of successful marathon finishers (
n
= 1,243) and inexperienced runners (control group,
n
= 296). A total of 1,537 runners with 380 women (24.7%) and 1,157 men (75.3%) completed the motivations of marathoners scales (MOMS) questionnaire and the relationships between general motivation categories and selected demographic (e.g., gender, age, and education) and training characteristics were analyzed. Successful marathon finishers did not differ significantly in motivations from the control group (
p
> 0.05). Trivial to small correlations with age, educational level, and training characteristics were observed. Female marathon finishers exceeded men on the motivational scales for weight concern, affiliation, psychological coping, life meaning, and self-esteem and they scored lower on competitive motivation (
p
< 0.05). There was also a significant relationship of some motivational aspects with level of education, experience and training frequency. These findings confirmed that age and gender differentiate motivations in both successful female and male marathon finishers and controls.
“…The scale has been adapted for the use with participants in many different sports (Ogles and Masters, 2003; LaChausse, 2006; Ruiz and Sancho, 2011). For instance, Heazlewood et al (2012) used the MOMS to investigate the motivations of athletes competing in various sports as part of the 2010 Pan Pacific Masters Games, and Brown et al (2018) used it for black female master triathletes.…”
The aim of this study was to compare the motivations of successful marathon finishers (
n
= 1,243) and inexperienced runners (control group,
n
= 296). A total of 1,537 runners with 380 women (24.7%) and 1,157 men (75.3%) completed the motivations of marathoners scales (MOMS) questionnaire and the relationships between general motivation categories and selected demographic (e.g., gender, age, and education) and training characteristics were analyzed. Successful marathon finishers did not differ significantly in motivations from the control group (
p
> 0.05). Trivial to small correlations with age, educational level, and training characteristics were observed. Female marathon finishers exceeded men on the motivational scales for weight concern, affiliation, psychological coping, life meaning, and self-esteem and they scored lower on competitive motivation (
p
< 0.05). There was also a significant relationship of some motivational aspects with level of education, experience and training frequency. These findings confirmed that age and gender differentiate motivations in both successful female and male marathon finishers and controls.
“…The descriptive demographic and triathlon participation information was assessed via the Motivation of Triathlon Participation Questionnaire. The MOMS-T characterized motivation for participation in triathlons and the Motivations of Marathoners Scale for Triathletes Interview Guide (MOTIG) inquired additional information related to the motivations in the MOMS-T [13].…”
Section: Methodsmentioning
confidence: 99%
“…The MOMS-T is a revised form of the valid and reliable Motivations of Marathoners Scale in which four of the 56 statements included the exercises ‘cycling and swimming’ to replace ‘running’ and the word ‘triathlete(s)’ replaced ‘runner(s)’ to assesses motivation to participate in triathlons [13,16]. A similar form for triathletes, previously validated, involves a 7-point Likert scale to assess the importance of participation, where the number 1 indicates that the statement is “not a reason” and the number 7 indicates the statement is a “very important” reason for participation [20].…”
Section: Methodsmentioning
confidence: 99%
“…The previously published Motivations of Triathletes Interview Guide (MOTIG) is an exploratory instrument developed specifically to complement the questions in the MOMS-T survey [13]. Its purpose was to encourage an in-depth dialogue that would reveal the thoughts, attitudes, and opinions about motivation to participate in triathlons through a newly developed method of ‘Survey Transformation’.…”
Section: Methodsmentioning
confidence: 99%
“…In the same year, the Centers for Disease Control and Prevention estimated that only 44.4% of U.S. Black adults met the 2008 U.S. physical activity guidelines which were to engage in at least 150 min of weekly moderate intensity aerobic activity and to complete muscle strengthening activities that work all major muscle groups at least twice weekly [12]. Black women are a most sedentary group in the United States exercise, thus contributing to the high number of those diagnosed with death-causing conditions such as coronary heart disease and cancer [13,14].…”
There is a paucity of information on motivation among U.S. minority triathletes. This study aimed to understand the extrinsic motivation and regulators of Black women triathletes using a modified version of the valid Motivations of Marathoners Scale and semi-structured interviews, for triathletes. The Self Determination Theory guided the dual method assessment of the extrinsic motivators and the regulators external, introjection, and integrated. Using MANOVA, data from (N = 121) triathletes were compared across participant categories of age, body mass index, and distance. Results showed a significant age difference with younger women displaying more motivation. Descriptive means indicated integration as the greatest regulator of motivation. The statements ‘to compete with myself’ and ‘to be more fit,’ had the highest means among the women. A sub-sample of 12 interviews were conducted revealing 16 extrinsic themes. Six were related to the regulator integration and two unexpectantly related to the regulator, identified. Integrated themes, including coping mechanisms, finishing course, improvement, accomplishment, and physical awareness were most represented. This research fills gaps of understanding extrinsic motivation and the regulators of a group not previously explored. Future research on motivation among triathletes may benefit knowing how motivations are regulated, as to promote personalized training and participation.
ObjectiveHealth disparities are widely prevalent; however, little has been done to examine and address their causes and effects in sports and exercise medicine (SEM). We aimed to summarise the focus areas and methodology used for existing North American health disparity research in SEM and to identify gaps in the evidence base.DesignScoping review.Data sourcesSystematic literature search of PubMed, Scopus, SPORTDiscus, CINAHL Plus with Full Text, Web of Science Core Collection and Cochrane Central Register of Controlled Trials.Eligibility criteriaFull-text, peer-reviewed manuscripts of primary research, conducted in North America; published in the year 2000 or after, in English; and focusing on organised sports were included.Results103 articles met inclusion criteria. Articles were classified into five focus areas: access to and participation in sports (n=45), access to SEM care (n=28), health-related outcomes in SEM (n=24), provider representation in SEM (n=5) and methodology (n=1). Race/ethnicity (n=39), socioeconomic status (n=28) and sex (n=27) were the most studied potential causes of health disparities, whereas sexual orientation (n=5), location (rural/urban/suburban, n=5), education level (n=5), body composition (n=5), gender identity (n=4) and language (n=2) were the least studied. Most articles (n=74) were cross-sectional, conducted on youth (n=55) and originated in the USA (n=90).ConclusionHealth disparity research relevant to SEM in North America is limited. The overall volume and breadth of research required to identify patterns in a heterogeneous sports landscape, which can then be used to inform positive change, need expansion. Intentional research focused on assessing the intersectionality, causes and consequences of health disparities in SEM is necessary.
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