42 research outputs found

    The athletic coachability scale: construct conceptualization and psychometric analyses

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    Recent research indicates that coaches consider coachability\u27\u27 to be an important predictor of athletic success (Giacobbi, Whitney, Roper, & Butryn, 1999; Kuchenbecker, 1999). The results of these studies also show that coaches regularly use the term coachability\u27\u27 to describe the personalities of particular athletes. In the sport psychology literature, coachability was first discussed by Ogilivie and Tutko (1969) who asserted that ... coachability is one of the most essential qualities for truly great athletic effort. Those men who are labeled great pros, with rare exceptions, remain highly coachable men (p. 26). Since that time, little research attention has been given to the systematic examination of the coachability\u27\u27 construct in sport. Researchers appear to have little idea of what behaviors are associated with coachability or whether this construct can predict sport performance. Therefore, the purposes of this study were to develop a measure of coachability\u27\u27 and to assess its psychometric properties. Consistent with the recommendations of Strean (1998), scale items were developed from qualitative interviews with coaches (Giacobbi et. al., 1999) and athletes (Giacobbi, Haley, & Whitney, 1998). In study one, a 44-item scale was developed (The Athletic Coachability Scale) which was administered to 170 college athletes representing a variety of sports. The results of principal components factor analysis with a varimax rotation produced a five-component solution accounting for 43% of the response variance. These factors were labeled intensity of effort (11 items), trust/respect for the coach (7 items), openness to learning (4 items), coping with criticism (3 items), and \u27\u27working with teammates (2 items). All sub scale alpha reliability coefficients exceeded the . 70 criterion advocated by Nunnally (1978). In study two, the revised 30-item Athletic Coachability Scale (ACS) and the Task and Ego Orientation Scale for Sport {TEOSQ; Duda and Nicholls, 1992) was administered to 120 athletes. Principal components factor analysis with a varimax rotation produced a six-component solution accounting for 59% of the response variance. These components were labeled intensity of effort (5 items), reactions to coaching feedback ( 4 items), openness to learning (3 items), \u27\u27trust/respect for the coach (4 items), coping with criticism (4 items), and working with teammates ( 4 items). Correlational analyses between the emergent ACS subscale scores and the subscales scores of the TEOSQ (task and ego orientation) revealed significant positive relationships between a task orientation and the intensity of effort (rho=.377), reactions to coaching feedback (rho=.453), trust/respect for the coach (rho=.277), working with teammates (rho=.378), and total ACS score (rho=.458). It was concluded that the initial evidence from the two studies support-a six-component conceptualization of the coachability construct. However, future research should include efforts to address issues of social-desirability, the creation of a coach rating form, and performance assessments

    A Pragmatic Research Philosophy for Applied Sport Psychology

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    A pragmatic research philosophy is introduced that embraces mixed-method approaches to applied research questions. With its origins in the work of Peirce (1984), James (1907), Dewey (1931), and contemporary support from Rorty (1982, 1990,1991), pragmatism emphasizes the practical problems experienced by people, the research questions posited, and the consequences of inquiry. As a way to highlight applications of pragmatism in sport psychology, pragmatism is compared to constructivism and positivism in terms of philosophical underpinnings and methodological applications. The pragmatic researcher is sensitive to the social, historical, and political context from which inquiry begins and considers morality, ethics, and issues of social justice to be important throughout the research process. Pragmatists often use pluralistic methods during multiphase research projects. Exemplar design types are discussed that logically cohere to a pragmatic research philosophy

    Recruiting Women to a Mobile Health Smoking Cessation Trial: Low- and No-Cost Strategies

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    Background: Successful recruitment of participants to mobile health (mHealth) studies presents unique challenges over in-person studies. It is important to identify recruitment strategies that maximize the limited recruitment resources available to researchers. Objective: The objective of this study was to describe a case study of a unique recruitment process used in a recent mHealth software app designed to increase smoking cessation among weight-concerned women smokers. The See Me Smoke-Free app was deployed to the Google Play Store (Alphabet, Inc., Google, LLC), where potential participants could download the app and enroll in the study. Users were invited in-app to participate in the study, with no in-person contact. The recruitment activities relied primarily on earned (free) and social media. Methods: To determine the relationship between recruitment activities and participant enrollment, the researchers explored trends in earned and social media activity in relation to app installations, examined social media messaging in relation to reach or impressions, and described app users’ self-reported referral source. The researchers collected and descriptively analyzed data regarding recruitment activities, social media audience, and app use during the 18-week recruitment period (March 30, 2015-July 31, 2015). Data were collected and aggregated from internal staff activity tracking documents and from Web-based data analytics software such as SumAll, Facebook Insights (Facebook, Inc.), and Google Analytics (Alphabet, Inc., Google, LLC). Results: Media coverage was documented across 75 publications and radio or television broadcasts, 35 of which were local, 39 national, and 1 international. The research team made 30 Facebook posts and 49 tweets, yielding 1821 reaches and 6336 impressions, respectively. From March 30, 2015 to July 31, 2015, 289 unique users downloaded the app, and 151 participants enrolled in the study. Conclusions: Research identifying effective online recruitment methods for mHealth studies remains minimal, and findings are inconsistent. We demonstrated how earned media can be leveraged to recruit women to an mHealth smoking cessation trial at low cost. Using earned media and leveraging social media allowed us to enroll 3 times the number of participants that we anticipated enrolling. The cost of earned media resides in the staff time required to manage it, particularly the regular interaction with social media. We recommend communication and cooperation with university public affairs and social media offices, as well as affiliate programs in journalism and communications, so that earned media can be used as a recruitment strategy for mHealth behavior change interventions. However, press releases are not always picked up by the media and should not be considered as a stand-alone method of recruitment. Careful consideration of an intervention’s broad appeal and how that translates into potential media interest is needed when including earned media as part of a comprehensive recruitment plan for mHealth research

    See Me Smoke-Free: Protocol for a Research Study to Develop and Test the Feasibility of an mHealth App for Women to Address Smoking, Diet, and Physical Activity

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    Background: This paper presents the protocol for an ongoing research study to develop and test the feasibility of a multi-behavioral mHealth app. Approximately 27 million women smoke in the US, and more than 180,000 women die of illnesses linked to smoking annually. Women report greater difficulties quitting smoking. Concerns about weight gain, negative body image, and low self-efficacy may be key factors affecting smoking cessation among women. Recent studies suggest that a multi-behavioral approach, including diet and physical activity, may be more effective at helping women quit. Guided imagery has been successfully used to address body image concerns and self-efficacy in our 3 target behaviors—exercise, diet and smoking cessation. However, it has not been used simultaneously for smoking, diet, and exercise behavior in a single intervention. While imagery is an effective therapeutic tool for behavior change, the mode of delivery has generally been in person, which limits reach. mHealth apps delivered via smart phones offer a unique channel through which to distribute imagery-based interventions. Objective: The objective of our study is to evaluate the feasibility of an mHealth app for women designed to simultaneously address smoking, diet, and physical activity behaviors. The objectives are supported by three specific aims: (1) develop guided imagery content, user interface, and resources to reduce weight concern, and increase body image and self-efficacy for behavior change among women smokers, (2) program a prototype of the app that contains all the necessary elements of text, graphics, multimedia and interactive features, and (3) evaluate the feasibility, acceptability, and preliminary efficacy of the app with women smokers. Methods: We created the program content and designed the prototype application for use on the Android platform in collaboration with 9 participants in multiple focus groups and in-depth interviews. We programmed and tested the application’s usability with 6 participants in preparation for an open, pre- and posttest trial. Currently, we are testing the feasibility and acceptability of the application, evaluating the relationship of program use to tobacco cessation, dietary behaviors, and physical activity, and assessing consumer satisfaction with approximately 70 women smokers with Android-based smart phones. Results: The study was started January 1, 2014. The app was launched and feasibility testing began in April 1, 2015. Participants were enrolled from April 1-June 30, 2015. During that time, the app was downloaded over 350 times using no paid advertising. Participants were required to use the app “most days” for 30 days or they would be dropped from the study. We enrolled 151 participants. Of those, 78 were dropped or withdrew from the study, leaving 73 participants. We have completed the 30-day assessment, with a 92% response rate. The 90-day assessment is ongoing. During the final phase of the study, we will be conducting data analyses and disseminating study findings via presentations and publications. Feasibility will be demonstrated by successful participant retention and a high level of app use. We will examine individual metrics (eg, duration of use, number of screens viewed, change in usage patterns over time) and engagement with interactive activities (eg, activity tracking). Conclusions: We will aggregate these data into composite exposure scores that combine number of visits and overall duration to calculate correlations between outcome and measures of program exposure and engagement. Finally, we will compare app use between participants and non-participants using Google Analytics

    Childhood obesity and adult cardiovascular disease risk factors: a systematic review with meta-analysis

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    Background Overweight and obesity is a major public health concern that includes associations with the development of cardiovascular disease (CVD) risk factors during childhood and adolescence as well as premature mortality in adults. Despite the high prevalence of childhood and adolescent obesity as well as adult CVD, individual studies as well as previous systematic reviews examining the relationship between childhood obesity and adult CVD have yielded conflicting results. The purpose of this study was to use the aggregate data meta-analytic approach to address this gap. Methods Studies were included if they met the following criteria: (1) longitudinal and cohort studies (including case-cohort), (2) childhood exposure and adult outcomes collected on the same individual over time, (3) childhood obesity, as defined by the original study authors, (4) English-language articles, (5) studies published up to June, 2015, (6) one or more of the following CVD risk factors [systolic blood pressure (SBP), diastolic blood pressure (DBP), total cholesterol (TC), high-density lipoprotein cholesterol (HDL), low-density lipoprotein cholesterol (LDL), non-high-density lipoprotein cholesterol (non-HDL), and triglycerides (TG)], (7) outcome(s) not self-reported, and (8) exposure measurements (child’s adiposity) assessed by health professionals, trained investigators, or self-reported. Studies were retrieved by searching three electronic databases as well as citation tracking. Fisher’s r to z score was calculated for each study for each outcome. Pooled effect sizes were calculated using random-effects models while risk of bias was assessed using the STROBE instrument. In order to try and identify sources of heterogeneity, random-effects meta-regression was also performed. Results Of the 4840 citations reviewed, a total of 23 studies were included in the systematic review and 21 in the meta-analysis. The findings suggested that childhood obesity is significantly and positively associated with adult SBP (Zr = 0.11; 95% CI: 0.07, 0.14), DBP (Zr = 0.11; 95% CI: 0.07, 0.14), and TG (Zr =0.08; 95% CI: 0.03, 0.13), and significantly and inversely associated with adult HDL (Zr = −0.06; 95% CI: -0.10, −0.02). For those studies that adjusted for adult body mass index (BMI), associations were reversed, suggesting that adult BMI may be a potential mediator. Nine studies had more than 33% of items that placed them at an increased risk for bias. Conclusions The results of this study suggest that childhood obesity may be a risk factor for selected adult CVD risk factors. However, a need exists for additional, higher-quality studies that include, but are not limited to, both unadjusted and adjusted measures such as BMI before any definitive conclusions can be reached. Systematic review and meta-analysis PROSPERO 2015: CRD42015019763

    Physical Activity Epidemiology

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    Physical Activity Promotion

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    SPTP: Grant Writing

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    Exercise Psychology

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    Physical Activity Promotion

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