Bryan Blissmer

University of Rhode Island, Кингстон, Rhode Island, United States

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Publications (51)147.62 Total impact

  • Health Promotion Practice 08/2015; · 0.55 Impact Factor
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    ABSTRACT: This research examined dynamic transtheoretical model (TTM) constructs for adopting sun protection practices. This secondary data analysis pooled four large population-based TTM-tailored intervention studies and examined use of constructs across three groups, organized by longitudinal progress: maintainers, relapsers, and stable non-changers. A total of 3463 adults, in the USA, who met criteria for unsafe sun exposure at baseline received a TTM-tailored computerized intervention at baseline, 6 months, and 12 months. The final analytic sample consisted of 1894 participants; the majority were female, White, married, and middle-aged. The three groups were assessed with reliable and valid scales assessing use of TTM constructs at baseline, 6 months, 12 months, and 24 months. Analyses included a MANOVA followed by a series of ANOVAs, with Tukey follow-up tests assessing differences in use of TTM constructs across the three groups at each timepoint. Findings demonstrated that relapsers and maintainers were similar in their use of most TTM processes of change at baseline, with the exception of Consciousness Raising, Stimulus Control, Reinforcement Management, and Self-Liberation. These findings suggest that although relapsers reverted to unsafe sun practices, their overall greater use of processes of change indicates that their change efforts remain better than that of stable non-changers.
    International Journal of Behavioral Medicine 07/2015; DOI:10.1007/s12529-015-9498-7 · 2.63 Impact Factor
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    ABSTRACT: Purpose . Previous studies found that treatment effects can change two behaviors, but not one. This study examined baseline transtheoretical model constructs as three alternative predictors (stage of change, effort, and severity) of singular action among participants with co-occurring health behavior risks. Design . The study examined participants at risk for three pairs of behaviors (sun and smoking; smoking and diet; and diet and sun). Analyses were conducted with participants who changed only one behavior in a pair (singular action). Setting . School and home-based behavior change programs recruited participants via schools, worksites, and physician practices. School, worksite, medical, and home-based prevention programs were the study setting. Subjects . The sample (N = 3213) was age 44.6 years (SD, 11.1 years), 94.6% white, and 63.7% female. Measures . Stages of change, effort, and severity variables were measured. Analysis . Pooled data were analyzed using logistic regressions from three randomized controlled trials. Results . Across all three behaviors, stage of change, effort, and severity effects were consistently related to behavior change at 24 months. Change efforts on one behavior were related to change on another behavior. Baseline sun severity (odds ratio, .97 [.94, 1.00]; p = .046) and smoking severity (odds ratio, .89 [.80, .98]; p = .019) were significant predictors of change on diet at final follow-up. Conclusion . Stage of change was the biggest predictor. Problem severity was the smallest predictor of change at 2-year follow-up. Four of six predictors were within behaviors, whereas two were between.
    American journal of health promotion: AJHP 07/2015; DOI:10.4278/ajhp.140521-QUAN-220 · 2.37 Impact Factor
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    ABSTRACT: The present longitudinal study investigates baseline assessments of static and dynamic variables, including demographic characteristics, smoking severity, and Transtheoretical Model of Behavior Change (TTM) effort variables (Decisional Balance (e.g. Pros and Cons), Situational Temptations, and Processes of Change) of relapse among individuals who were abstinent at 12-months. The study sample (N = 521) was derived from an integrated dataset of four population-based smoking cessation interventions. Several key findings included: Participants who were aged 25-44 and 45-64 (OR = .43, p = .01 and OR = .40, p = .01, respectively) compared to being aged 18-24 were less likely to relapse at follow-up. Participants in the control group were more than twice as likely to relapse (OR = 2.17, p = .00) at follow-up compared to participants in the treatment group. Participants who reported higher Habit Strength scores were more likely to relapse (OR = 1.05, p = .02). Participants who had higher scores of Reinforcement Management (OR = 1.05, p = .04) and Self-Reevaluation (OR = 1.08, p = .01) were more likely to relapse Findings add to one assumption that relapsers tend to relapse not solely due to smoking addiction severity, but due to immediate precursor factors such as emotional distress. One approach would be to provide additional expert guidance on how smokers can manage stress effectively when they enroll in treatment at any stage of change.
    Addictive Behaviors 03/2015; 42. DOI:10.1016/j.addbeh.2014.11.022 · 2.44 Impact Factor
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    ABSTRACT: Abstract Purpose . Develop and demonstrate preliminary validation of a brief questionnaire aimed at assessing social cognitive determinants of physical activity (PA) in a college population. Design . Quantitative and observational. Setting . A midsized northeastern university. Subjects . Convenience sample of 827 male and female college students age 18 to 24 years. Measures . International Physical Activity Questionnaire and a PA stage-of-change algorithm. Analysis . A sequential process of survey development, including item generation and data reduction analyses by factor analysis, was followed with the goal of creating a parsimonious questionnaire. Structural equation modeling was used for confirmatory factor analysis and construct validation was confirmed against self-reported PA and stage of change. Validation analyses were replicated in a second, independent sample of 1032 college students. Results . Fifteen items reflecting PA self-regulation, outcome expectations, and personal barriers explained 65% of the questionnaire data and explained 28.6% and 39.5% of the variance in total PA and moderate-to-vigorous-intensity PA, respectively. Scale scores were distinguishable across the stages of change. Findings were similar when the Cognitive Behavioral Physical Activity Questionnaire (CBPAQ) was tested in a similar and independent sample of college students (40%; R(2) moderate-to-vigorous-intensity PA = .40; p < .001). Conclusion . The CBPAQ successfully explains and predicts PA behavior in a college population, warranting its incorporation into future studies aiming at understanding and improving on PA behavior in college students.
    American journal of health promotion: AJHP 08/2014; DOI:10.4278/ajhp.131021-QUAN-539 · 2.37 Impact Factor
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    ABSTRACT: As the evidence supporting the role of body dissatisfaction (BD) in chronic disease risk factors and health behaviors increases, documenting the prevalence of BD is an essential first step in determining to what degree BD is a public health problem. Therefore, the primary purpose of this study is to critically evaluate research examining the population prevalence of BD among U.S. adults. Seven studies were located and provided estimates of prevalence of BD among U.S. adults that were extremely varied (11%-72% for women, and 8%-61% for men). While some of the variation may be due to increases in BD over time, the literature is also clouded by a lack of randomly selected samples, lack of consistency in measurement tools, lack of consistency in operational definitions of BD, and lack of standardized cut-off points for BD. Recommendations for improving BD prevalence research to enable public health research are provided.
    Eating Behaviors 08/2014; 15(3). DOI:10.1016/j.eatbeh.2014.04.010 · 1.58 Impact Factor
  • Stephanie O'Donnell · Geoffrey W Greene · Bryan Blissmer
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    ABSTRACT: Objective: To explore the relationship between goal setting and fruit and vegetable (FV) consumption and physical activity (PA) in an intervention for college students. Methods: Secondary data analysis of intervention group participants from a 10-week online intervention with complete weekly data (n = 724). Outcomes (cups of FV per day and minutes of PA per week) and goals for both behaviors were reported online each week. Weekly differences between goals and behaviors were calculated, as well as the proportion meeting individual goals and meeting recommendations for behaviors. Results: There were significant (. P < .05) effects of goal setting on both behaviors and of goal group (tertile of meeting weekly goals) on behavior, as well as meeting recommendations for both behaviors. There was an increase in FV consumption (. P < .001) but no change in PA over time. Conclusions and Implications: Goal setting as part of a Web-based intervention for college students was effective, but results differed for FV and PA. Goal setting for maintaining behavior may need to differ from goal setting for changing behavior.
    Journal of Nutrition Education and Behavior 05/2014; 46(6). DOI:10.1016/j.jneb.2014.03.005 · 1.47 Impact Factor
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    ABSTRACT: Longitudinal predictors of dietary behavior change are important and in need of study. This secondary data analysis combined primary data across three randomized trials to examine transtheoretical model (TTM) and specific dietary predictors of successful dietary change at 12 and 24months separately in treatment and control groups (N=4178). The treatment group received three TTM-tailored print interventions over 12months between 1995 and 2000. Chi-square and MANOVA analyses were used to examine baseline predictors of dietary outcome at 12 and 24months. Last, a multivariable logistic regression was conducted with all baseline variables included. Across all analyses in both treatment and control groups, the most robust predictors of successful change were for TTM-tailored treatment group, preparation stage of change, and increased use of dietary behavior variables such as moderating fat intake, substitution of lower fat foods, and increasing intake of healthful foods. These results provide strong evidence for treatment, stage and behavioral dietary severity effects predicting dietary behavior change over time, and for targeting these variables with the strongest relationships to outcome in interventions, such as TTM-tailored dietary interventions.
    Eating behaviors 08/2013; 14(3):255-62. DOI:10.1016/j.eatbeh.2013.01.014
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    ABSTRACT: This study examined the effectiveness of two transtheoretical model-tailored, computer-delivered interventions designed to impact multiple substance use or energy balance behaviors in a middle school population recruited in schools. Twenty middle schools in Rhode Island including sixth grade students (N=4,158) were stratified and randomly assigned by school to either a substance use prevention (decreasing smoking and alcohol) or an energy balance (increasing physical activity, fruit and vegetable consumption, and limiting TV time) intervention group in 2007. Each intervention involved five in-class contacts over a 3-year period with assessments at 12, 24, and 36 months. Main outcomes were analyzed using random effects modeling. In the full energy balance group and in subsamples at risk and not at risk at baseline, strong effects were found for physical activity, healthy diet, and reducing TV time, for both categorical and continuous outcomes. Despite no direct treatment, the energy balance group also showed significantly lower smoking and alcohol use over time than the substance use prevention group. The energy balance intervention demonstrated strong effects across all behaviors over 3 years among middle school students. The substance use prevention intervention was less effective than the energy balance intervention in preventing both smoking and alcohol use over 3 years in middle school students. The lack of a true control group and unrepresented secular trends suggest the need for further study.
    03/2013; 3(1):82-93. DOI:10.1007/s13142-013-0197-0
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    ABSTRACT: The dominant paradigm of changing multiple health behaviors (MHBs) is based on treating, assessing, and studying each behavior separately. This study focused on individuals with co-occurring baseline health-risk behavior pairs and described whether they changed over time on both or only one of the behaviors within each pair. Data from five randomized trials of computer-tailored interventions (CTIs) that simultaneously treated MHBs were analyzed. The differences between treatment and control proportions that achieved paired action and singular action at 24 months follow-up, and the proportional contribution of paired action to overall change on each behavior, were assessed across 12 behavior pairs (including energy balance, addictive, and appearance-related behaviors). CTIs consistently produced more paired action across behavior pairs. Paired action contributed substantially more to the treatment-related outcomes than singular action. Studying concurrent changes on MHBs as demonstrated allows the effect of simultaneously treating MHBs to be assessed.
    03/2013; 3(1):62-71. DOI:10.1007/s13142-013-0193-4
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    ABSTRACT: Abstract Purpose . To identify impact of an online nutrition and physical activity program for college students. Design . Randomized, controlled trial using online questionnaires and on-site physical and fitness assessments with measurement intervals of 0 (baseline), 3 (postintervention), and 15 months (follow-up). Setting . Online intervention delivered to college students; a centralized Web site was used for recruitment, data collection, data management, and intervention delivery. Subjects . College students (18-24 years old, n = 1689), from eight universities (Michigan State University, South Dakota State University, Syracuse University, The Pennsylvania State University, Tuskegee University, University of Rhode Island, University of Maine, and University of Wisconsin). Intervention . A 10-lesson curriculum focusing on healthful eating and physical activity, stressing nondieting principles such as size acceptance and eating competence (software developer: Rainstorm, Inc, Orono, Maine). Measures . Measurements included anthropometrics, cardiorespiratory fitness, fruit/vegetable (FV) intake, eating competence, physical activity, and psychosocial stress. Analysis . Repeated measures analysis of variance for outcome variables. Results . Most subjects were white, undergraduate females (63%), with 25% either overweight or obese. Treatment group completion rate for the curriculum was 84%. Over 15 months, the treatment group had significantly higher FV intake (+.5 cups/d) and physical activity participation (+270 metabolic equivalent minutes per week) than controls. For both groups, anthropometric values and stress increased, and fitness levels decreased. Gender differences were present for most variables. First-year males and females gained more weight than participants in other school years. Conclusion . A 10-week online nutrition and physical activity intervention to encourage competence in making healthful food and eating decisions had a positive, lasting effect on FV intake and maintained baseline levels of physical activity in a population that otherwise experiences significant declines in these healthful behaviors.
    American journal of health promotion: AJHP 11/2012; 27(2):e47-58. DOI:10.4278/ajhp.110606-QUAN-239 · 2.37 Impact Factor
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    ABSTRACT: African-Americans have high rates of physical inactivity-related morbidity and mortality, thus effective interventions to increase exercise are necessary. Tailored interventions show promise, but measures need validation in this population. This study validated transtheoretical model measures for exercise in an African-American sample. Cross-sectional measure development. Telephone survey of individuals in North Carolina. 521 African-American adults. Stages of change, decisional balance (pros and cons), self-efficacy and processes of change (POC) for regular exercise. Confirmatory factor analyses tested measurement models. Multivariate analyses examined relationships between each construct and stages of change. For decisional balance, the two-factor uncorrelated model was the most parsimonious good-fitting model (χ(235) = 158.76; comparative fit index [CFI], .92; average absolute standardized residual [AASR], .04), and alphas were good (pros α = .85 and cons α = .74). The one-factor model for self-efficacy (α = .80) revealed an excellent fit (χ(29) = 45.51; CFI, .96; AASR, .03). For the POC subscales with good alphas (α = .62-.91), a 10-factor fully correlated model fit best (χ(2)[360] = 786.75; CFI, .91; AASR, .04). Multivariate analyses by stage of change replicated expected patterns for the pros, self-efficacy, and POC measures with medium-sized effects (η(2)  =  .05-.13). Results by stage of change did not replicate for the cons scale. The structures of these measures replicated with good internal and external validity, except for the cons scale, which requires additional development. Results support the use of these measures in tailored interventions to increase exercise among African-Americans.
    American journal of health promotion: AJHP 05/2012; 26(5):317-26. DOI:10.4278/ajhp.091214-QUAN-393 · 2.37 Impact Factor
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    ABSTRACT: This study compared, in treatment and control groups, the phenomena of coaction, which is the probability that taking effective action on one behavior is related to taking effective action on a second behavior. Pooled data from three randomized trials of Transtheoretical Model (TTM) tailored interventions (n=9461), completed in the U.S. in 1999, were analyzed to assess coaction in three behavior pairs (diet and sun protection, diet and smoking, and sun protection and smoking). Odds ratios (ORs) compared the likelihood of taking action on a second behavior compared to taking action on only one behavior. Across behavior pairs, at 12 and 24 months, the ORs for the treatment group were greater on an absolute basis than for the control group, with two being significant. The combined ORs at 12 and 24 months, respectively, were 1.63 and 1.85 for treatment and 1.20 and 1.10 for control. The results of this study with addictive, energy balance and appearance-related behaviors were consistent with results found in three studies applying TTM tailoring to energy balance behaviors. Across studies, there was more coaction within the treatment group. Future research should identify predictors of coaction in more multiple behavior change interventions.
    Preventive Medicine 03/2012; 54(5):331-4. DOI:10.1016/j.ypmed.2012.02.017 · 2.93 Impact Factor
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    ABSTRACT: The purpose of this Position Stand is to provide guidance to professionals who counsel and prescribe individualized exercise to apparently healthy adults of all ages. These recommendations also may apply to adults with certain chronic diseases or disabilities, when appropriately evaluated and advised by a health professional. This document supersedes the 1998 American College of Sports Medicine (ACSM) Position Stand, "The Recommended Quantity and Quality of Exercise for Developing and Maintaining Cardiorespiratory and Muscular Fitness, and Flexibility in Healthy Adults." The scientific evidence demonstrating the beneficial effects of exercise is indisputable, and the benefits of exercise far outweigh the risks in most adults. A program of regular exercise that includes cardiorespiratory, resistance, flexibility, and neuromotor exercise training beyond activities of daily living to improve and maintain physical fitness and health is essential for most adults. The ACSM recommends that most adults engage in moderate-intensity cardiorespiratory exercise training for ≥30 min·d on ≥5 d·wk for a total of ≥150 min·wk, vigorous-intensity cardiorespiratory exercise training for ≥20 min·d on ≥3 d·wk (≥75 min·wk), or a combination of moderate- and vigorous-intensity exercise to achieve a total energy expenditure of ≥500-1000 MET·min·wk. On 2-3 d·wk, adults should also perform resistance exercises for each of the major muscle groups, and neuromotor exercise involving balance, agility, and coordination. Crucial to maintaining joint range of movement, completing a series of flexibility exercises for each the major muscle-tendon groups (a total of 60 s per exercise) on ≥2 d·wk is recommended. The exercise program should be modified according to an individual's habitual physical activity, physical function, health status, exercise responses, and stated goals. Adults who are unable or unwilling to meet the exercise targets outlined here still can benefit from engaging in amounts of exercise less than recommended. In addition to exercising regularly, there are health benefits in concurrently reducing total time engaged in sedentary pursuits and also by interspersing frequent, short bouts of standing and physical activity between periods of sedentary activity, even in physically active adults. Behaviorally based exercise interventions, the use of behavior change strategies, supervision by an experienced fitness instructor, and exercise that is pleasant and enjoyable can improve adoption and adherence to prescribed exercise programs. Educating adults about and screening for signs and symptoms of CHD and gradual progression of exercise intensity and volume may reduce the risks of exercise. Consultations with a medical professional and diagnostic exercise testing for CHD are useful when clinically indicated but are not recommended for universal screening to enhance the safety of exercise.
    Medicine and science in sports and exercise 07/2011; 43(7):1334-59. DOI:10.1249/MSS.0b013e318213fefb · 4.46 Impact Factor
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    ABSTRACT: To determine whether mindfulness is associated with physical and behavioral measures in first semester college students. Participants: Male and female first year college students (n = 75) from the University of Rhode Island. Height, weight, waist circumference (WC), and blood pressure were assessed and online questionnaires were completed. Independent t tests and Pearson correlations were utilized for analysis. The less mindful group had a higher WC than the more mindful group. Correlations were seen between mindfulness and weight-related behaviors. Mindfulness can impact health status of first year college students, particularly with behavioral measures that have been found to effect weight status. However, additional research is needed focusing on mindfulness as a potential weight gain prevention technique for first year college students in order to decrease chronic disease prevalence.
    Journal of American College Health 06/2011; 59(6):539-45. DOI:10.1080/07448481.2011.555932 · 1.45 Impact Factor
  • Medicine &amp Science in Sports &amp Exercise 05/2011; 43(Suppl 1):438. DOI:10.1249/01.MSS.0000401208.24005.1c · 4.46 Impact Factor
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    ABSTRACT: This cross-sectional study (N = 4,144) compared three longitudinal dynatypes (Maintainers, Relapsers, and Stable Smokers) of smokers on baseline demographics, stage, addiction severity, and transtheoretical model effort effect variables. There were significant small-to-medium-sized differences between the Stable Smokers and the other two groups on stage, severity, and effort effect variables in both treatment and control groups. There were few significant, very small differences on baseline effort variables between Maintainers and Relapsers in the control, but not the treatment group. The ability to identify Stable Smokers at baseline could permit enhanced tailored treatments that could improve population cessation rates.
    Substance Use &amp Misuse 03/2011; 46(13):1664-74. DOI:10.3109/10826084.2011.565853 · 1.23 Impact Factor
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    ABSTRACT: Weight gain and an increase in overweight and obesity in college students raise serious health concerns. Weight management interventions for college-age men and women might be more effective if they were tailored to subgroups of students with similar behavioral and psychosocial characteristics associated with body weight status. The purpose of this study was to use cluster analysis to identify homogenous subgroups of college-aged men and women enrolled in a weight gain prevention study (Project WebHealth) using baseline data collected in 2008. Project WebHealth was a 15-month nutrition and physical activity intervention designed to decrease the rate of unwanted weight gain in 1,689 college students at eight geographically diverse universities in the United States. Outcome measures included anthropometrics, fruit and vegetable intake, physical activity, cardiorespiratory fitness, and psychosocial variables associated with weight status in college students. Cluster analysis was performed separately by sex using a two-step clustering procedure using weight-related eating and exercise behaviors and psychosocial variables. Cluster groupings were validated against students' measured weight status and waist circumference as indicators of health risk. The study design was cross-sectional. Results showed that three similar clusters were identified for each sex. Validity of the cluster solution was supported by significant group differences in body mass index and waist circumference with the High Risk cluster at elevated health risk compared to the others. For men, variability in eating competence and cognitive restraint scores contributed most to the difference between clusters, whereas for women, emotional eating and uncontrolled eating scores did. These findings could be used to improve effectiveness of messages and interventions by tailoring them to subgroups of college students with similar behavioral and psychosocial characteristics associated with elevated health risk.
    Journal of the American Dietetic Association 03/2011; 111(3):394-400. DOI:10.1016/j.jada.2010.11.011 · 3.92 Impact Factor
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    ABSTRACT: Although physical activity (PA) is a key element in the prevention and management of type 2 diabetes, many with this chronic disease do not become or remain regularly active. High-quality studies establishing the importance of exercise and fitness in diabetes were lacking until recently, but it is now well established that participation in regular PA improves blood glucose control and can prevent or delay type 2 diabetes, along with positively affecting lipids, blood pressure, cardiovascular events, mortality, and quality of life. Structured interventions combining PA and modest weight loss have been shown to lower type 2 diabetes risk by up to 58% in high-risk populations. Most benefits of PA on diabetes management are realized through acute and chronic improvements in insulin action, accomplished with both aerobic and resistance training. The benefits of physical training are discussed, along with recommendations for varying activities, PA-associated blood glucose management, diabetes prevention, gestational diabetes mellitus, and safe and effective practices for PA with diabetes-related complications.
    Diabetes care 12/2010; 33(12):e147-67. DOI:10.2337/dc10-9990 · 8.57 Impact Factor
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    Diabetes care 12/2010; 33(12):2692-6. DOI:10.2337/dc10-1548 · 8.57 Impact Factor

Publication Stats

3k Citations
147.62 Total Impact Points

Institutions

  • 2002–2015
    • University of Rhode Island
      • • Department of Kinesiology
      • • Cancer Prevention Research Center
      Кингстон, Rhode Island, United States
  • 1999–2004
    • University of Illinois, Urbana-Champaign
      • Department of Kinesiology and Community Health
      Urbana, Illinois, United States