Sex and race/ethnicity specific reference predictive equations for abdominal adiposity indices using anthropometry in US adults.

BACKGROUND AND AIMS: Abdominal adiposity indices have stronger associations with cardiometabolic risk factors compared to anthropometric measures but are rarely used in large scale studies due to the cost and efficiency. The aim of this study is to establish sex and race/ethnicity specific reference equations using anthropometric measures. METHODS AND RESULTS: A secondary data analysis (n = 6589) of healthy adults was conducted using data from National Health and Nutrition Examination Survey 2011-2018. Variables included in the analyses were anthropometric measures (height; weight; waist circumference, WC) and abdominal adiposity indices (android percent fat; android to gynoid ratio, A/G ratio; visceral adipose tissue area, VATA; visceral to subcutaneous adipose area ratio, VSR). Multivariable prediction models were developed using quantile regression. Bland-Altman was used for external validation of prediction models. Reference equations to estimate android percent fat, A/G ratio, VATA and VSR from anthropometric measurements were developed using a randomly selected subsample of 4613. These reference equations for four abdominal adiposity indices were then cross-validated in the remaining subsample of 1976. The measured and predicted android percent fat, A/G ratio, VATA and VSR were not statistically different (p > 0.05) except for the A/G ratio in Asian males and VSR in White females. The results of Bland-Altman further revealed that ≥93% of predicted abdominal adiposity indices fell within the limits of agreement (±1.96 standard deviation). CONCLUSION: The sex and race/ethnicity specific reference equations for abdominal adiposity indices established using anthropometrics in the present study have strong predictive ability in US healthy adults.

Age-specific trends in health-related quality of life among US adults: findings from National Health and Nutrition Examination Survey, 2001-2016.

PURPOSE: Health-related quality of life (HRQoL) is an important indicator of population health, yet no age-specific trend analyses in HRQoL have been conducted with a nationally representative sample since 2004. Therefore, to address this gap, an age-specific trend analysis of HRQoL was conducted using National Health and Nutrition Examination Surveys (NHANES) data. METHODS: NHANES 2001-2016 data (8 cycles) were examined to evaluate trends in HRQoL by age group (young adults: 21-39, middle-aged: 40-64, older adults: 65+). HRQoL was assessed by self-reported health (SRH) and number of physically unhealthy, mentally unhealthy, and inactive days to due to physical or mental health in the past 30 days. Multiple linear or logistic regression analyses explored trends in HRQoL by age group, adjusting for demographics over time. RESULTS: Analysis revealed increasing fair/poor SRH over time for the entire sample (ß = 0.34, 95% CI 0.08, 0.60, p = 0.011). However, age-specific analysis identified a bi-annual increase in fair/poor SRH only among young adults (ß = 0.49, 95% CI 0.22, 0.76, p < 0.001) and a decrease among older adults (ß = - 0.60, 95% CI - 1.14, - 0.06, p = 0.03). Closer inspection revealed increasing fair/poor SRH increased among young women (ß = 0.52, 95% CI 0.11, 0.93, p = 0.013) and young men (ß = 0.46, 95% CI 0.04, 0.88, p = 0.03) but decreased among older women (ß = - 0.81, 95% CI - 1.59, - 0.03, p = 0.042) over time. Analyses also determined that there was a trend for a decreasing number of physically unhealthy days among young adults (p < 0.001), although no trends were observed for the other HRQoL items. CONCLUSIONS: Although there was a significant trend over time for increasing fair/poor SRH when considering the entire sample, this trend was not consistent between age groups or sexes. Given increasing fair/poor SRH among young adults, there is a need to understand and address factors relating to HRQoL among this age group.

National Scouting Combine Scores as Performance Predictors in the National Football League.

Vincent, LM, Blissmer, BJ, and Hatfield, DL. National Scouting Combine scores as performance predictors in the National Football League. J Strength Cond Res 33(1): 104-111, 2019-The National Football League (NFL) hosts an annual scouting combine to evaluate the approximately 300 elite college football players who are most likely to be selected in the upcoming NFL draft. Given the public interest, player obligations, coaching staff commitments, and business aspects of the combine, several questions have arose in recent years concerning the applicability of combine scores to eventual draft NFL performance. The primary purpose of this study is to investigate the relationship between specified National Scouting Combine (NSC) scores and measures of performance by player position. A secondary aim was to determine whether correlated variables could predict player performance at the quarterback (QB), running back (RB), wide receiver (WR), defensive end (DE), defensive tackle (DT), and linebacker (LB) positions. Subjects in this study were combine participants between the years 2005-2010 who subsequently played in the NFL. The positional groups investigated were QBs (N = 44), RBs (N = 82), WRs (N = 116), LBs (N = 139), DEs (N = 59), and DTs (N = 72). Combine raw scores for 40-yd dash time, countermovement vertical jump (CMVJ) height, standing long jump (SLJ) distance, and pro-agility time were recorded. Measures of horizontal and vertical power were calculated for the 40-yd dash and CMVJ. Combine scores and on-field positional statistics for the first 4 years for QBs and 3 years of all other players' careers were analyzed to investigate relationships. Significant correlations were shown between at least one combine measure and on-field success at every position. Hierarchal regression showed combine measures could predict between 4% and 62% of the variance for individual on-field variables. Quarterback rushing yards were significantly correlated with 40T, CMVJ, vertical jump power (VJP), vertical jump relative power (VJRP), and horizontal power (HP), and those factors accounted for 62.2% of the total variance. Horizontal power and VJP were predictive of QB rushing attempts (r = 0.370). At RB, 40T and SLJ combined were predictive of total rushing yards (r = 0.200), rushing attempts (r = 0.195), and yards per game (r = 0.197). Power variables were predictive of total tackles for DEs' 40HP (r = 0.096) and VJP (r = 0.018), accounting for a total of 21% of the variance. The current study suggests that combine tests are modest predictors of future performance. Should the NFL change the current NSC testing battery, the addition of horizontal and vertical power measurements, as well as position-specific skill tests are recommended.

Transtheoretical Model Constructs' Longitudinal Prediction of Sun Protection Over 24 Months.

PURPOSE: 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. METHODS: 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. RESULTS: 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. CONCLUSIONS: 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.

Fat Reduction Efforts: A 24-Month Longitudinal Comparison of a Large Sample of Maintainers, Relapsers, and Non-Changers.

This research examined dynamic transtheoretical model (TTM) constructs for dietary fat reduction. This secondary data analysis pooled three large population-based TTM-tailored school, worksite, medical, and home-based intervention studies and examined use of constructs across three groups organized by longitudinal progress (dynatypes): Maintainers, Relapsers, and Stable Non-Changers. The criteria for successful change, at the time, were that less than 30% of calories came from fat. A total of 2,718 adults met criteria for an unhealthy diet at baseline. The majority of participants were female, White, married, and middle-aged. Demographics, Stage of Change, Processes of Change, Decisional Balance, and Temptations were measured. Dynatype groups were assessed with reliable and valid scales assessing constructs at baseline and 6, 12, and 24 months. Analyses included a multivariate analysis of variance followed by a series of analyses of variance, with Tukey follow-up tests assessing differences in use of TTM constructs across the three groups at each time point. Relapsers and Maintainers were similar in their use of all TTM Processes of Change at baseline, with the exception of Self-Liberation (η(2) = 0.15, p < .001) and Reinforcement Management (η(2) = 0.01, p < .001). Although Relapsers reverted to an unhealthy diet, their overall greater use of Processes of Change suggests that their behaviors and strategy use remain better than that of the Stable Non-Changer group. Results suggest that specific cognitive and behavioral constructs may contribute differentially to intervention outcomes.

Transtheoretical Principles and Processes for Adopting Physical Activity: A Longitudinal 24-Month Comparison of Maintainers, Relapsers, and Nonchangers.

This study examined longitudinal differences in use of transtheoretical model (TTM) behavior change constructs in maintainers (who reached and maintained exercise guidelines), relapsers (who reached guidelines, then regressed), and nonchangers (who did not reach guidelines). Data from two population-based TTM-tailored randomized trial intervention groups targeting exercise behavior (N = 1050) were pooled, and analyses assessed differences in TTM constructs between the three groups at baseline, 12 months, and 24 months. Findings indicated that relapsers tended to use TTM variables similarly to maintainers with the exception of self-efficacy, consciousness raising, and most behavioral processes of change, at 24 months. Nonchangers, however, used all TTM variables less than maintainers at nearly every time point. Findings suggest that relapsers remain more active than nonchangers in terms of use of change processes. Poor response to interventions (nonchangers) may be predicted by low baseline engagement in change processes. Although relapsers reverted to physical inactivity, their overall greater use of TTM constructs suggests that their efforts to change remain better than those of the stable nonchanger group. Future research can focus on treatment engagement strategies to help the stable nonchangers initiate change and to help relapsers to maintain treatment gains.

Transtheoretical Model for Exercise: Measure Redevelopment and Assessing the Role of Barriers in a Diverse Population.

PURPOSE: To redevelop and improve Transtheoretical Model (TTM) exercise measures for Black and Hispanic/Latinx adults. The redeveloped scales will address barriers to exercise potentially relevant to populations of color in the United States (US). DESIGN: Cross-sectional, split-half measure development. SETTING: Online survey in the US. SUBJECTS: 450 Black and/or Hispanic/Latinx adults. MEASURES: Demographics, exercise engagement (IPAQ-SF), stage of change (SOC), decisional balance (DCBL), self-efficacy (SE), and barriers to exercise. ANALYSIS: Split-half exploratory (EFA) and confirmatory factor analyses (CFA) were executed to establish measurement structure and fit, followed by multivariate analyses to assess constructs by SOC. RESULTS: EFA/CFA for DCBL revealed three factors (α = .85, .70, .75) which represented Pros of exercise, Cons of exercise related to time and safety, and Cons of exercise related to physical or emotional discomfort. Model fit was adequate (CFI = .89). For SE, two factors (α = .85, .77) resulted with good model fit (CFI = .91). These factors reflected self-efficacy to exercise when confronted with generally challenging situations, and self-efficacy to exercise when specifically experiencing affective difficulties, such as depression or anxiety. Lastly, a novel Barriers measure resulted in three factors (α = .82, .77, .76), representing barriers encountered due to family responsibilities, work obligations, and health challenges, with good model fit (CFI = .95). Shifts in the core TTM constructs by SOC largely mapped onto the theoretical trends expected under the TTM. CONCLUSION: This study produced systematically developed TTM exercise measures for Black and Hispanic/Latinx adults in the US that address and incorporate important barriers to exercise. This research represents an important step forward in broadening the inclusion of diverse populations to TTM measure development processes and may lead to a better understanding of relevant factors impeding exercise engagement in the US.

Treated individuals who progress to action or maintenance for one behavior are more likely to make similar progress on another behavior: coaction results of a pooled data analysis of three trials.

OBJECTIVE: 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. METHODS: 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. RESULTS: 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. CONCLUSIONS: 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.

The Demographic Specific Abdominal Fat Composition and Distribution Trends in US Adults from 2011 to 2018.

Despite the rising awareness of abdominal adiposity associated health problems and demographic health disparities, research is lacking about abdominal fat trends using a national representative sample of US adults. Our purpose was to examine national demographic specific abdominal fat composition and distribution trends from 2011 to 2018. This trend analysis was using National Health and Nutrition Examination Survey data (n = 13,163). Visceral adipose percent (VAT%), visceral adipose tissue area (VAA) and visceral to subcutaneous adipose area ratio (VSR) were utilized in data analyses. Multiple polynomial linear regression was utilized with adjustment for confounding variables. Our findings revealed that VAT%, VAA and VSR trends were concave among all demographic groups. The VAT%, VAA and/or VSR changes were observed in most demographic groups (p < 0.05) except younger, White and Black respondents. The pattern was consistent with biennial increases up to 2014 or 2016 followed by decreases in 2017-2018. There were demographic disparities, with middle-aged respondents and Hispanics having the most evident VAT%, VSR and/or VAA changes biennially when compared to their counterparts (p < 0.05). In conclusion, abdominal fat composition and distribution increased before 2014 or 2016 but decreased afterwards with variations by age and/or race/ethnicity. Further research is needed to explore the possible causes of abdominal fat changes overtime.

Baseline stage, severity, and effort effects differentiate stable smokers from maintainers and relapsers.

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.

The relationship between obesity, physical activity, and physical function in older adults.

OBJECTIVE: This study investigated the relationship between overweight and obesity, age, and gender with physical activity and physical function in community-dwelling older men and women. METHOD: Multivariate analysis of covariance was used to analyze differences between normal weight, overweight, and obese adults (n = 821) above the age of 60 years. RESULTS: Obesity but not overweight was associated with lower levels of physical activity and physical function. Within BMI groups, individuals who were physically active were less likely to have abnormal physical function scores compared to those who were sedentary. Compared to men, obese women had lower physical function scores, placing them at higher risk for future disability. Aging was associated with lower levels of physical activity and physical function. DISCUSSION: The study illustrates the importance of avoiding obesity and participating in regular physical activity to prevent or slow down the loss of functioning in older age.

Trajectories of Maintenance and Resilience in Healthful Eating and Exercise Behaviors in Older Adults.

OBJECTIVE: Our objective was to describe behavioral change trajectories for healthful eating and exercise in a group of community-dwelling older adults. A secondary aim was to determine predictors of maintenance and resilience. METHOD: Subjects were participants in the Study of Exercise and Nutrition in Older Rhode Islanders (SENIOR) I study who had achieved postaction stage of change for at least one behavior by its end. They were recruited for SENIOR II, a 48-month study with annual assessments on demographic, anthropometric, cognitive, psychosocial, and behavioral variables. RESULTS: Maintainers generally had higher levels of healthy behaviors and better cognitive function. Resilient older adults were similar to maintainers but were older and had greater functional limitations. DISCUSSION: Findings suggest that both physical health and psychological capital provide important resources upon which to draw as older adults grow even older. The trajectory model can provide useful information for developing resilience interventions for older adults.

Using the immediate blood pressure benefits of exercise to improve exercise adherence among adults with hypertension: a randomized clinical trial.

BACKGROUND: A single exercise session evokes immediate blood pressure (BP) reductions that persist for at least 24 h, termed postexercise hypotension (PEH). Self-monitoring of PEH may foster positive outcome expectations of exercise, and thus, enhance exercise adherence among adults with hypertension. PURPOSE: To compare the efficacy of self-monitoring of exercise (EXERCISE) versus exercise and PEH (EXERCISE + PEH) to improve exercise adherence and BP control among adults with hypertension. METHODS: Adults with high BP were randomized to EXERCISE (n = 12) or EXERCISE + PEH (n = 12). Participants underwent supervised, moderate intensity aerobic exercise training for 40-50 min/session, 3 days/week for 12 weeks and encouraged to exercise unsupervised at home at least 30 min/day, 1-2 days/week. EXERCISE + PEH also self-monitored BP before and after exercise. Adherence was calculated as [(no. of exercise sessions performed/no. of possible exercise sessions) × 100%]. BP was measured pre and posttraining. RESULTS: Healthy, middle-aged (52.3 ±â€Š10.8 years) men (n = 11) and women (n = 13) with hypertension (136.2 ±â€Š10.7/85.2 ±â€Š8.9 mmHg) completed exercise training with 87.9 ±â€Š12.1% adherence. EXERCISE + PEH demonstrated greater adherence to supervised training (94.3 ±â€Š6.6%) than EXERCISE (81.6 ±â€Š13.2%; P = 0.007). EXERCISE + PEH performed 32.6 ±â€Š22.5 min/week more unsupervised home exercise than EXERCISE (P = 0.004), resulting in greater exercise adherence (107.3 ±â€Š18.7%) than EXERCISE (82.7 ±â€Š12.2%; P = 0.002). Post versus pretraining BP was reduced -7.4 ±â€Š11.3/-4.9 ±â€Š9.9 mmHg (P < 0.025) with no statistical difference between EXERCISE (-5.2 ±â€Š13.3/-3.6 ±â€Š6.1 mmHg) and EXERCISE + PEH (-9.9 ±â€Š11.3/-6.1 ±â€Š6.9 mmHg; P > 0.344). CONCLUSION: The current study is the first to demonstrate that PEH self-monitoring is an efficacious tool to improve exercise adherence among a small sample of adults with hypertension. Future research among a larger, more diverse sample is needed to confirm these novel findings and determine whether EXERCISE + PEH translates to better BP control relative to EXERCISE self-monitoring alone.

Integrated Primary Care Readiness and Behaviors Scale: Development and validation in behavioral health professionals.

INTRODUCTION: Although integrated primary care (IPC) is growing, several barriers remain. Better understanding of behavioral health professionals' (BHPs') readiness for and engagement in IPC behaviors could improve IPC research and training. This study developed measures of IPC behaviors and stage of change. METHOD: The sample included 319 licensed, practicing BHPs with a range of interests and experience with IPC. Sequential measurement development procedures, with split-half cross-validation were conducted. RESULTS: Exploratory principal components analyses (N = 152) and confirmatory factor analyses (N = 167) yielded a 12-item scale with 2 factors: consultation/practice management (CPM) and intervention/knowledge (IK). A higher-order Integrated Primary Care Behavior Scale (IPCBS) model showed good fit to the data, and excellent internal consistencies. The multivariate analysis of variance (MANOVA) on the IPCBS demonstrated significant large-sized differences across stage and behavior groups. DISCUSSION: The IPCBS demonstrated good psychometric properties and external validation, advancing research, education, and training for IPC practice. (PsycINFO Database Record

Health-related quality of life following a clinical weight loss intervention among overweight and obese adults: intervention and 24 month follow-up effects.

BACKGROUND: Despite a growing literature on the efficacy of behavioral weight loss interventions, we still know relatively little about the long terms effects they have on HRQL. Therefore, we conducted a study to investigate the immediate post-intervention (6 months) and long-term (12 and 24 months) effects of clinically based weight management programs on HRQL. METHODS: We conducted a randomized clinical trial in which all participants completed a 6 month clinical weight loss program and were randomized into two 6-month extended care groups. Participants then returned at 12 and 24 months for follow-up assessments. A total of 144 individuals (78% women, M age = 50.2 (9.2) yrs, M BMI = 32.5 (3.8) kg/m2) completed the 6 month intervention and 104 returned at 24 months. Primary outcomes of weight and HRQL using the SF-36 were analyzed using multivariate repeated measures analyses. RESULTS: There was complete data on 91 participants through the 24 months of the study. At baseline the participants scored lower than U.S. age-specific population norms for bodily pain, vitality, and mental health. At the completion of the 6 month clinical intervention there were increases in the physical and mental composite measures as well as physical functioning, general health, vitality, and mental health subscales of the SF-36. Despite some weight regain, the improvements in the mental composite scale as well as the physical functioning, vitality, and mental health subscales were maintained at 24 months. There were no significant main effects or interactions by extended care treatment group or weight loss group (whether or not they maintained 5% loss at 24 months). CONCLUSION: A clinical weight management program focused on behavior change was successful in improving several factors of HRQL at the completion of the program and many of those improvements were maintained at 24 months. Maintaining a significant weight loss (> 5%) was not necessary to have and maintain improvements in HRQL.

Baseline Predictors of Singular Action Among Participants With Multiple Health Behavior Risks.

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.

Development and Validation of the Cognitive Behavioral Physical Activity Questionnaire.

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.

The effect of goal setting on fruit and vegetable consumption and physical activity level in a Web-based intervention.

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.

Prevalence of body dissatisfaction among United States adults: review and recommendations for future research.

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.

Baseline transtheoretical and dietary behavioral predictors of dietary fat moderation over 12 and 24 months.

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 24 months separately in treatment and control groups (N = 4178). The treatment group received three TTM-tailored print interventions over 12 months between 1995 and 2000. Chi-square and MANOVA analyses were used to examine baseline predictors of dietary outcome at 12 and 24 months. 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.