Effects of a novel bites, steps and eating rate-focused weight loss randomised controlled trial intervention on body weight and eating behaviours.

BACKGROUND: Eating rate (ER), comprising the amount of food consumed per unit of time, is associated with obesity and energy intake (EI). METHODS: The present study tested whether adding a self-monitoring wearable device to a multifaceted 8-week weight loss intervention increased weight loss. In addition, the device's effect on secondary change outcomes in EI, ER and estimated energy expenditure was explored. Tertiary outcomes included examining eating behaviours measured by the Weight-Related Eating Questionnaire (WREQ). Seventy-two adults who were overweight or obese [mean (SD) age, 37.7 (15.3) years; body mass index, 31.3 (3.2) kg m-2 ] were randomised into two groups: intervention workbook plus device (WD) or intervention workbook only (WO). Three 24-h dietary recalls were obtained before weeks 0 and 8. Participants were weighed, consumed a test meal and completed 7-day Physical Activity Recall and WREQ at weeks 0 and 8. RESULTS: There was no significant difference between WD and WO groups with respect to weight change [-0.46 (1.11) vs. 0.26 (0.82) kg, respectively], ER, EI, energy expenditure or WREQ scores, although there were significant changes over time, and within-group changes on all of these variables. At week 8, participants were dichotomised into weight loss or weight stable/gainers groups. A significant time by group change was seen in susceptibility to external cues scores, with significant time effects for susceptibility and restraint. CONCLUSIONS: An intervention focused on reducing ER, energy density and increasing steps was effective for weight loss, although the wearable device provided no additional benefit. Participants with higher susceptibility to external eating may be more responsive to this intervention.

Pretest variables that improve the predictive value of exercise testing in women.

AIM: Graded exercise testing (GXT) is used in coronary artery disease (CAD) prevention and rehabilitation programs. In women, this test has a decreased accuracy and predictive value but there are few studies that examine the predictors of a verified positive test. The aim of this study was to determine those pretest variables that might enhance the predictive value of the GXT in women clients. METHODS: Medical records of 1761 patients referred for GXT's over a 5 yr period of time were screened. Demographic, medical, and exercise test variables were analyzed. The GXT's of 403 women were available for inclusion and they were stratified into 3 groups: positive responders that were subsequently shown to have CAD (N.=28 verified positive [VP]), positive responders that were not shown to have CAD (N.=84 non-verified positive [NVP]) and negative GXT responders (N.=291). Both univariate and a multivariate step-wise regression statistics were performed on this data. RESULTS: Pretest variables that differentiated between VP and NVP groups are: (an older age=65.8 vs. 60.2 yrs. P<0.05; a greater BMI=30.8 vs. 28.8 kg/m2; diabetes status or an elevated fasting glucose =107.4 vs. 95.2 mg/dL P<0.05; and the use of some cardiovascular medications. Our subsequent linear regression analysis emphasized that HDL cholesterol and beta blocker usage were the most predictive of a positive exercise test in this cohort. CONCLUSION: The American Heart Association recommends GXT's in women with an intermediate pretest probability of CAD. But there are only two clinical variables available prior to testing to make this probability decision: age and quality of chest pain. This study outlined that other pre-exercise test variables such as: BMI, blood chemistry (glucose and lipoprotein levels) and the use of cardiovascular medications are useful in clinical decision making. These pre-exercise test variables improved the predictive value of the GXT's in our sample.

Predictors of relapse among smokers: transtheoretical effort variables, demographics, and smoking severity.

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 (i.e. Pros and Cons), Situational Temptations, and Processes of Change) of relapse among individuals who were abstinent at 12months. 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.

Maintenance of weight loss after lifestyle interventions for overweight and obesity, a systematic review.

Lifestyle interventions can reduce body weight, but weight regain is common and may particularly occur with higher initial weight loss. If so, one may argue whether the 10% weight loss in clinical guidelines is preferable above a lower weight loss. This systematic review explores the relation between weight loss during an intervention and weight maintenance after at least 1 year of unsupervised follow-up. Twenty-two interventions (during at least 1 month) in healthy overweight Caucasians were selected and the mean percentages of weight loss and maintenance were calculated in a standardized way. In addition, within four intervention groups (n > 80) maintenance was calculated stratified by initial weight loss (0-5%, 5-10%, >10%). Overall, mean percentage maintenance was 54%. Weight loss during the intervention was not significantly associated with percentage maintenance (r = -0.26; P = 0.13). Percentage maintenance also not differed significantly between interventions with a weight loss of 5-10% vs. >10%. Consequently, net weight loss after follow-up differed between these categories (3.7 vs. 7.0%, respectively; P < 0.01). The analyses within the four interventions confirmed these findings. In conclusion, percentage maintenance does not clearly depend on initial weight loss. From this perspective, 10% or more weight loss can indeed be encouraged and favoured above lower weight loss goals.

Physical activity and physique anxiety in older adults: fitness, and efficacy influences.

Employing a randomized controlled trial, this study documents the effects of six months of physical activity and six month follow-up on reduction in social physique anxiety (SPA) in older adults. In addition, the role played by changes in behavioral, physiological, and psychological predictors of changes in SPA were examined. Participants (n = 174, mean age = 65 yrs) were randomly assigned to one of two activity groups and engaged in a six-month structured exercise program. Measures of physique anxiety were taken at baseline, six and twelve months. Latent growth curve analyses revealed significant reductions in SPA over the course of the 12-month period. Structural analyses controlling for treatment condition indicated that improvements in self-efficacy and fitness were significant predictors of changes in SPA but that changes in body fat and exercise frequency did not contribute to variation in SPA. Overall this model accounted for 19% of the variation in SPA changes. The extent to which changes in SPA may contribute to continued physical activity participation in older adults and how exercise programs might effectively influence predictors of SPA are discussed.

Social relations, physical activity, and well-being in older adults.

BACKGROUND: A randomized controlled trial was conducted to examine: (a) the effect of two physical activity modes on changes in subjective well-being (SWB) over the course of a 12-month period in older, formerly sedentary adults (N = 174, M age = 65.5 years) and (b) the role played by physical activity participation and social support in changes in SWB over time. METHOD: Participants were randomized into either an aerobic activity group or a stretching and toning group. Structural equation modeling was employed to conduct multiple sample latent growth curve analyses of individual growth in measures of SWB (happiness, satisfaction with life, and loneliness) over time. RESULTS: A curvilinear growth pattern was revealed with well-being significantly improving over the course of the intervention followed by significant declines at the 6-month follow-up. Subsequent structural analyses were conducted showing that frequency of exercise participation was a significant predictor of improvement in satisfaction with life, whereas social relations were related to increases in satisfaction with life and reductions in loneliness. Improvements in social relations and exercise frequency also helped to buffer the declines in satisfaction with life at follow-up. CONCLUSIONS: It appears that social relations integral to the exercise environment are significant determinants of subjective well-being in older adults. Findings are discussed in terms of how physical activity environments might be structured to maximize improvements in more global well-being constructs such as satisfaction with life.

Physical activity, self-esteem, and self-efficacy relationships in older adults: a randomized controlled trial.

A randomized controlled trial examined the growth and form of multidimensional self-esteem over a 12-month period (6-month exercise intervention and 6-month follow-up) in 174 older adults engaged in either a walking or stretching/toning program. The extent to which changes in physical fitness parameters and physical self-efficacy were related to changes in perceptions of attractive body, strength, physical conditioning, and physical self-worth was also determined. Latent growth curve analyses showed a curvilinear pattern of growth in esteem with significant increases at all levels of self-esteem upon completion of the intervention followed by significant declines at 6 months postintervention in both groups. Frequency of activity and changes in physical fitness, body fat, and self-efficacy were related to improvements in esteem perceptions relative to attractive body, strength, and physical condition. Model fitting procedures suggested that the best fit of the data was to a model in which the influence of changes in efficacy and physical parameters on physical self-worth were mediated by perceptions of attractive body and physical condition.

Self-efficacy determinants and consequences of physical activity.

This review examines self-efficacy as a determinant of exercise adherence and as an outcome of physical activity. Additionally, studies that have either manipulated self-efficacy or employed efficacy-based interventions to enhance exercise participation are discussed. Finally, recommendations for future applications of social cognitive theory to the physical activity domain are made.

Mode of physical activity and self-efficacy in older adults: a latent growth curve analysis.

A randomized controlled trial examined the effect of two physical activity modes on changes in self-efficacy over the course of a 12-month period in older, formerly sedentary adults (N = 174, M age = 65.5 years). Participants were randomized into either an aerobic activity group or a stretching and toning group. Structural equation modeling was employed to conduct multiple sample latent growth curve analyses of individual growth in exercise and physical self-efficacy over time. Results revealed a curvilinear growth pattern for both types of efficacy with increases occurring over the first 6 months followed by declines at the 6-month follow-up. There was a significant treatment by mean level growth interaction for exercise efficacy with both groups increasing over time, but the aerobic group evidenced a twofold increase in growth over the stretching group. Structural analyses indicated that frequency of exercise participation was a significant predictor of overall growth in efficacy, and improvements in fitness were only related to exercise efficacy growth in the stretching group. Findings are discussed in terms of social cognitive theory and further application of latent growth curve modeling to studies of physical activity effects in older adults.

Exercise intensity and self-efficacy effects on anxiety reduction in healthy, older adults.

The purpose of the present study was to examine the effects of varying exercise intensities and changes in self-efficacy on anxiety reduction in a sample of healthy, older adults. Eighty older adults from a randomized controlled exercise trial participated in this study and completed measures of self-efficacy and the State Anxiety Inventory (SAI) prior to and following light-, moderate-, and high-intensity exercise. Latent growth curve modeling analyses revealed that although anxiety was reduced following the light-intensity condition, no significant changes in anxiety occurred following the moderate-intensity condition, and anxiety increased following the high-intensity condition. In addition, changes in self-efficacy were related to anxiety responses only in the moderate-intensity condition. An analysis of SAI items indicated that although the light-intensity condition resulted in decreased arousal and anxiousness, the high-intensity condition resulted in increased arousal and decreased anxiousness. These results are discussed in terms of social cognitive theory and the appropriateness of the SAI for use in exercise settings.