It is often assumed that some individuals reliably increase energy intake (EI) post-exercise (‘compensators’) and some do not (‘non-compensators’), leading researchers to examine the characteristics that distinguish these two groups. However, it is unclear whether EI post-exercise is stable over time. The present study examined whether compensatory eating responses to a single exercise bout are consistent within individuals across three pairs of trials. Physically inactive, overweight/obese women ( n 28, BMI 30·3 ( sd 2·9) kg/m 2 ) participated in three pairs of testing sessions, with each pair consisting of an exercise (30 min of moderate-intensity walking) and resting testing day. EI was measured using a buffet meal 1 h post-exercise/rest. For each pair, the difference in EI (EI diff = EI ex − EI rest ) was calculated, where EI ex is the EI of the exercise session and EI rest is the EI of the resting session, and women were classified as a ‘compensator’ (EI ex >EI rest ) or ‘non-compensator’ (EI ex ≤ EI rest ). The average EI on exercise days (3328·0 ( sd 1686·2) kJ) was similar to those on resting days (3269·4 ( sd 1582·4) kJ) ( P = 0·67). Although EI was reliable within individuals across the three resting days (intraclass correlation coefficient (ICC) 0·75, 95 % CI 0·60, 0·87; P < 0·001) and three exercise days (ICC 0·83, 95 % CI 0·70, 0·91; P < 0·001), the ICC for EI diff across the three pairs of trials was low (ICC 0·20, 95 % CI − 0·02, 0·45; P = 0·04), suggesting that compensatory eating post-exercise is not a stable construct. Moreover, the classification of ‘compensators’/‘non-compensators’ was not reliable ( κ = − 0·048; P = 0·66). The results were unaltered when ‘relative’ EI was used, which considers the energy expenditure of the exercise/resting sessions. Acute compensatory EI following an exercise bout is not reliable in overweight women. Seeking to understand what distinguishes ‘compensators’ from ‘non-compensators’ based on a single eating episode post-exercise is not justified.
Even though behavioral weight loss interventions are conducted in groups, a social contingency (SC) paradigm that capitalizes on the social reinforcement potential of the weight loss group has never been tested. We tested a weight loss intervention in which participation in the weight loss group was contingent upon meeting periodic weight goals. We hypothesized that making access to the group dependent upon weight loss would improve weight outcomes. Participants (N = 62; 84% female; 94% white; age = 51.9 ± 9.0; BMI = 34.7 ± 4.5) were randomized to 6-months of standard behavioral weight loss (SBWL) or to a behavioral program that included a SC paradigm. Both groups engaged in social cohesion activities. Participants in SC who did not meet weight goals did not attend group meetings; instead, they received individual treatment with a new interventionist and returned to group once their weight goals were met. SC did not improve overall weight loss outcomes (SC: -10.0 ± 4.9 kg, SBWL: -10.8 ± 6.4 kg, P = 0.63). Similarly, overall weight loss was not significantly different in the subgroup of participants in the SC and SBWL conditions who did not meet periodic weight loss goals (-7.3 ± 4.1 kg vs. -7.1 ± 3.5 kg, P = 0.90). Surprisingly, "successful" SC participants (who met their weight goals) actually lost less weight than "successful" SBWL participants (-12.4 ± 3.2 kg vs. -14.5 ± 4.7 kg, P = 0.02). Whereas contingency-based treatments have been tested for other health behaviors (e.g., substance abuse), this is the first study to test a SC intervention for weight loss. This approach did not improve overall weight loss outcomes. Our attempt to offer appropriate clinical care by providing individual treatment to SC participants when needed may have mitigated the effects of the SC paradigm.
To evaluate the efficacy, as well as potential moderators and mediators, of a revised acceptance-based behavioral treatment (ABT) for obesity, relative to standard behavioral treatment (SBT). Participants with overweight and obesity (n = 190) were randomized to 25 sessions of ABT or SBT over 1 year. Primary outcome (weight), mediator, and moderator measurements were taken at baseline, 6 months, and/or 12 months, and weight was also measured every session. Participants assigned to ABT attained a significantly greater 12-month weight loss (13.3% ± 0.83%) than did those assigned to SBT (9.8% ± 0.87%; P = 0.005). A condition by quadratic time effect on session-by-session weights (P = 0.01) indicated that SBT had a shallower trajectory of weight loss followed by an upward deflection. ABT participants were also more likely to maintain a 10% weight loss at 12 months (64.0% vs. 48.9%; P = 0.04). No evidence of moderation was found. Results supported the mediating role of autonomous motivation and psychological acceptance of food-related urges. Behavioral weight loss outcomes can be improved by integrating self-regulation skills that are reflected in acceptance-based treatment, i.e., tolerating discomfort and reduction in pleasure, enacting commitment to valued behavior, and being mindfully aware during moments of decision-making.
Research increasingly suggests that obesity is an exacerbating factor for migraine. However, it is less clear whether weight loss may help to alleviate migraine in obese individuals. We examined whether weight loss after bariatric surgery is associated with improvements in migraine headaches. In this prospective observational study, 24 patients who had migraine according to the ID-Migraine screener were assessed before and 6 months after bariatric surgery. At both time points, patients had their weight measured and reported on frequency of headache days, average headache pain severity, and headache-related disability over the past 90 days via the Migraine Disability Assessment questionnaire. Changes in headache measures and the relation of weight loss to these changes were assessed using paired-sample t tests and logistic regression, respectively. Patients were mostly female (88%), middle-aged (mean age 39.3), and severely obese (mean body mass index 46.6) at baseline. Mean (±SD) number of headache days was reduced from 11.1 ± 10.3 preoperatively to 6.7 ± 8.2 postoperatively (p < 0.05), after a mean percent excess weight loss (%EWL) of 49.4%. The odds of experiencing a ≥50% reduction in headache days was related to greater %EWL, independent of surgery type (p < 0.05). Reductions in severity were also observed (p < 0.05) and the number of patients reporting moderate to severe disability decreased from 12 (50.0%) before surgery to 3 (12.5%) after surgery (p < 0.01). Severely obese migraineurs experience marked alleviation of headaches after significant weight reduction via bariatric surgery. Future studies are needed to determine whether more modest, behaviorally produced weight losses can effect similar migraine improvements.
Objective A previous study reported that preoperative binge‐eating disorder (BED) did not attenuate weight loss at 12 months after bariatric surgery. This report extends the authors' prior study by examining weight loss at 24 months. Methods A modified intention‐to‐treat population was used to compare 24‐month changes in weight among 59 participants treated with bariatric surgery, determined preoperatively to be free of a current eating disorder, with changes in 33 surgically treated participants with BED. Changes were also compared with 49 individuals with obesity and BED who sought lifestyle modification for weight loss. Analyses included all available data points and were adjusted for covariates. Results At month 24, surgically treated patients with BED preoperatively lost 18.6% of initial weight, compared with 23.9% for those without BED ( P = 0.049). (Mean losses at month 12 had been 21.5% and 24.2%, respectively; P = 0.23.) Participants with BED who received lifestyle modification lost 5.6% at 24 months, significantly less than both groups of surgically treated patients ( P < 0.001). Conclusions These results suggest that preoperative BED attenuates long‐term weight loss after bariatric surgery. We recommend that patients with this condition, as well as other eating disturbances, receive adjunctive behavioral support, the timing of which remains to be determined.
The double-crush syndrome was initially described by Upton and McComas in 1973. They postulated that nonsymptomatic impairment of axoplasmic flow at more than one site along a nerve might summate to cause a symptomatic neuropathy. This was suggested by their clinical observation that the majority of their patients had a median or ulnar neuropathy associated with evidence of cervicothoracic root lesions. They also hypothesized that one of the constraints on axoplasmic flow could be a metabolic neuropathy, and this is supported by the high association of diabetes and carpal tunnel syndrome. Other researchers have since reported series of patients supporting the frequent association of a proximal and distal nerve compression syndrome, including carpal tunnel syndrome associated with cervical radiculopathy, brachial plexus compression, and diabetic neuropathy. Subsequently, MacKinnon and Dellon have expanded the description of this syndrome to include a) multiple anatomic regions along a peripheral nerve, b) multiple anatomic structures across a peripheral nerve within an anatomic region, c) superimposed on a neuropathy, and d) combinations of the above. We present an unusual case of symptomatic nerve compression caused by two nonanatomic structures within an anatomic region.
The construct of disinhibition, as measured by the Eating Inventory, was recently found to have two factors: internal disinhibition (eating in response to cognitive and emotional cues) and external disinhibition (eating in response to environmental cues). This study examined whether early changes in disinhibition that occurred during a weight loss program predicted later weight loss maintenance. Participants were adults enrolled in a weight loss treatment study (n = 81, 16% men, BMI = 38.4 +/- 6.5 kg/m(2)). Two-thirds of participants were African Americans. Participants received a uniform, meal-replacement-based weight loss program in months 1-3 and one of four nutritionally focused programs for weight loss maintenance in months 4-12. Disinhibition and weight were assessed at clinic visits. Change in internal disinhibition from months 1-3 (i.e., the weight loss period) significantly predicted change in weight from month 4 to 12 (i.e., the weight maintenance period); this remained significant when treatment group, age, gender, ethnicity, baseline weight, baseline depression, baseline internal disinhibition, and initial weight loss were controlled for (P = 0.03). A comparable analysis examining change in external disinhibition found that it was not a significant predictor of weight maintenance (P = 0.43). Participants who experienced the biggest decreases in internal disinhibition during the initial phase of treatment had the most success maintaining their weight loss in the next phase of treatment. Long-term weight loss outcomes may be improved by spending sufficient treatment time teaching strategies for reducing eating in response to internal cues.
Virtual reality (VR) technology can provide a safe environment for observing, learning, and practicing use of behavioral weight management skills, which could be particularly useful in enhancing minimal contact online weight management programs. The Experience Success (ES) project developed a system for creating and deploying VR scenarios for online weight management skills training. Virtual environments populated with virtual actors allow users to experiment with implementing behavioral skills via a PC-based point and click interface. A culturally sensitive virtual coach guides the experience, including planning for real-world skill use. Thirty-seven overweight/obese women provided feedback on a test scenario focused on social eating situations. They reported that the scenario gave them greater skills, confidence, and commitment for controlling eating in social situations.
Background A fast rate of eating is associated with a higher risk for obesity but existing studies are limited by reliance on self-report and the consistency of eating rate has not been examined across all meals in a day. The goal of the current analysis was to examine associations between meal duration, rate of eating, and body mass index (BMI) and to assess the variance of meal duration and eating rate across different meals during the day. Methods Using an observational cross-sectional study design, non-smoking participants aged 18–45 years ( N = 29) consumed all meals (breakfast, lunch, and dinner) on a single day in a pseudo free-living environment. Participants were allowed to choose any food and beverages from a University food court and consume their desired amount with no time restrictions. Weighed food records and a log of meal start and end times, to calculate duration, were obtained by a trained research assistant. Spearman's correlations and multiple linear regressions examined associations between BMI and meal duration and rate of eating. Results Participants were 65% male and 48% white. A shorter meal duration was associated with a higher BMI at breakfast but not lunch or dinner, after adjusting for age and sex ( p = 0.03). Faster rate of eating was associated with higher BMI across all meals ( p = 0.04) and higher energy intake for all meals ( p < 0.001). Intra-individual rates of eating were not significantly different across breakfast, lunch, and dinner ( p = 0.96). Conclusion Shorter beakfast and a faster rate of eating across all meals were associated with higher BMI in a pseudo free-living environment. An individual's rate of eating is constant over all meals in a day. These data support weight reduction interventions focusing on the rate of eating at all meals throughout the day and provide evidence for specifically directing attention to breakfast eating behaviors.
