Impact of social connectedness on weight loss outcomes in an online program.

Obesity is linked to many negative health consequences. While online behavioral weight loss programs (BWL) are an effective treatment for obesity, weight losses are modest. Social connectedness has been found to improve weight loss outcomes and previous findings suggests that it may be especially important for people of color. The present study investigated the impact of social connectedness (structural connectedness, or network size; relationship quality, and functional connectedness, or social support) on weight loss outcomes in an online BWL program and whether Black race or Hispanic ethnicity moderates the relationship between social connectedness and weight loss. Participants (N = 387) enrolled in a 16-week online BWL program and completed measures of social connectedness before treatment and had their weight measured. Individuals with less structural connectedness (smaller social networks) had greater weight losses. Further, higher levels of functional connectedness (affectionate support, positive support, and relationship quality) mediated the relationship between smaller network size and better weight loss outcomes. Black race / Hispanic ethnicity did not moderate the relationship between social connectedness and weight loss. These findings suggest that the quality of one's relationships, not the size of one's social network, is important for weight loss. Future studies may examine whether online BWL programs that build relationship quality and affectionate and positive support in participants' existing social networks improve overall weight loss outcomes.

Abdominal Obesity Genetic Variants Predict Waist Circumference Regain After Weight Loss.

Although many individuals are able to achieve weight loss, maintaining this loss over time is challenging. We aimed to study whether genetic predisposition to general or abdominal obesity predicts weight regain after weight loss. We examined the associations between genetic risk scores for higher BMI and higher waist-to-hip ratio adjusted for BMI (WHRadjBMI) with changes in weight and waist circumference up to 3 years after a 1-year weight loss program in participants (n = 822 women, n = 593 men) from the Look AHEAD (Action for Health in Diabetes) study who had lost ≥3% of their initial weight. Genetic predisposition to higher BMI or WHRadjBMI was not associated with weight regain after weight loss. However, the WHRadjBMI genetic score did predict an increase in waist circumference independent of weight change. To conclude, a genetic predisposition to higher WHRadjBMI predicts an increase in abdominal obesity after weight loss, whereas genetic predisposition to higher BMI is not predictive of weight regain. These results suggest that genetic effects on abdominal obesity may be more pronounced than those on general obesity during weight regain. ARTICLE HIGHLIGHTS: Nearly all individuals who intentionally lose weight experience weight regain. Individuals with a higher genetic risk for abdominal adiposity experience increased regain in waist circumference after weight loss. Genetic predisposition to higher BMI does not predict weight regain after weight loss.

Psychological resilience in older adults with type 2 diabetes from the Look AHEAD Trial.

BACKGROUND: There is growing interest in identifying factors associated with healthy aging. This cross-sectional study evaluated associations of psychological resilience with factors associated with aging in older adults with type 2 diabetes mellitus (T2DM). METHODS: Participants were 3199 adults (72.2 ± 6.2 years of age, 61% female, 61% White, body mass index [BMI] = 34.2 ± 8.2 kg/m2 ) with T2DM enrolled in Look AHEAD (a multi-site randomized clinical trial comparing an intensive lifestyle intervention for weight loss to diabetes education and support). Participants were followed observationally after the 10-year intervention was discontinued. The following items were assessed approximately 14.4 years post-randomization in a cross-sectional analysis: Brief Resilience Scale; overnight hospitalizations in past year; physical functioning measured objectively (gait speed, grip strength) and via self-report (Pepper Assessment Tool for Disability; physical quality of life [QOL; SF-36]); a measure of phenotypic frailty based on having ≥3 of unintentional weight loss, low energy, slow gait, reduced grip strength, and physical inactivity. Depressive symptoms (PHQ-9) and mental QOL (SF-36) were also measured. Logistic/linear/multinomial regression was used to evaluate the association of variables with resilience adjusted for age, race/ethnicity, and gender. RESULTS: Greater psychological resilience was associated with lower BMI, fewer hospitalizations, better physical functioning (i.e., lower self-reported disability, better physical QOL, faster gait speed, greater grip strength, lower likelihood of frailty), fewer depressive symptoms, and greater mental QOL (all p < 0.05). Psychological resilience moderated the relationship of number of hospitalizations in the past year with self-reported disability and grip strength. CONCLUSIONS: Psychological resilience is associated with better physical function and QOL among older adults. Results should be interpreted cautiously given cross-sectional nature of analyses. Exploring the clinical benefits of resilience is consistent with efforts to shift the narrative on aging beyond "loss and decline" to highlight opportunities to facilitate healthy aging.

Uric acid as a predictor of weight gain and cardiometabolic health in the Study of Novel Approaches to Weight Gain Prevention (SNAP) study.

Young adulthood is often a period of substantial weight gain increasing risk for obesity and cardiometabolic disease. Uric acid (UA), a clinical marker of oxidative stress, is associated with cardiometabolic dysfunction in established CVD, type 2 diabetes, and CKD. Yet, few trials have examined UA as a predictor of cardiometabolic risk in young, healthy populations, particularly in the context of weight gain prevention intervention. The purpose of this ancillary study was to examine UA in the Study of Novel Approaches to Weight Gain Prevention (SNAP), a randomized, controlled trial of weight gain prevention strategies in young healthy adults. UA was examined as a predictor of weight and cardiometabolic outcomes over 6 years; the impact of weight gain prevention interventions on UA was also examined. We found that higher baseline UA was a significant predictor of less favorable BMI, triglycerides, HDL, glucose, insulin, and HOMA, independent of age, sex, baseline weight, baseline level of the outcome variable, and weight gain prevention intervention. Additionally, ≥1% weight loss was associated with lower UA. UA is a promising biomarker for future weight gain and cardiometabolic risk in young adults that may respond to weight gain prevention.Clinical trial registration: clinicaltrials.gov identifier NCT01183689.

Affective response to physical activity as a deep phenotype in a non-randomized pilot study.

Large-scale genomic studies are beginning to identify genetic predictors of physical activity (PA). For those genetically predisposed to engage in low PA, a behavioral intervention may target a malleable factor that mediates genetic predisposition to low PA (i.e., intermediate phenotype) to mitigate the genetic influences. In a non-randomized exercise promotion pilot study, we test the feasibility of examining affective response to PA (how one feels during PA) as an intermediate phenotype between genetic variation and PA adherence. We hypothesized that three single nucleotide polymorphisms (SNPs; rs8044769 and rs3751812 in FTO; rs6265 in BDNF), identified from a prior systematic review, would be predictive of affective response to PA, and that affective response to PA would mediate the SNP-PA link. Forty five healthy, low-active adults received a 12-week print-based PA promotion program. Baseline affective response to PA was assessed using the Feeling Scale, a single-item measure of affective valence. Moderate to vigorous PA (MVPA) was assessed using accelerometers pre- and post-intervention. We examined the three SNPs in a weighted genetic score. Age, sex, body mass index, race, and neighborhood walkability were potential covariates. Affective response to PA and MVPA at follow-up (minutes/day over 4-7 days) were regressed on variation in SNPs, controlling for covariates. One unit increase in genetic score was associated with a 0.14 higher mean Feeling Scale, though was not statistically significant (p = 0.13). Among individual SNPs, having an additional FTO rs8044769 C allele was associated with a mean Feeling Scale score of 0.53 units higher (p = 0.015), which was statistically significant after applying the corrected p-value of 0.016. The genetic score or individual SNPs were not predictive of MVPA 12 weeks later, thereby mediation analyses were not performed. The preliminary findings demonstrate the promise of the intermediate phenotype approach.

Impact of COVID-19 on life experiences reported by a diverse cohort of older adults with diabetes and obesity.

OBJECTIVE: This study aimed to measure the impact of the COVID-19 pandemic on self-reported life experiences in older adults with diabetes and obesity. METHODS: Participants were surveyed in 2020 regarding negative and positive impacts of the pandemic across domains of personal, social, and physical experiences. A cumulative negative risk index (a count of all reported negative impacts of 46 items) and a positive risk index (5 items) were characterized in relation to age, sex, race/ethnicity, BMI, and multimorbidity. RESULTS: Response rate was high (2950/3193, 92%), average age was 76 years, 63% were women, and 39% were from underrepresented populations. Women reported more negative impacts than men (6.8 vs. 5.6; p < 0.001 [of 46 items]) as did persons with a greater multimorbidity index (p < 0.001). Participants reporting African American/Black race reported fewer negative impacts than White participants. Women also reported more positive impacts than men (1.9 vs. 1.6; p < 0.001 [of 5 items]). CONCLUSIONS: Older adults with diabetes and obesity reported more positive impacts of the pandemic than negative impacts, relative to the number of positive (or negative) items presented. Some subgroups experienced greater negative impacts (e.g., for women, a greater multimorbidity index). Efforts to reestablish personal, social, and physical health after the pandemic could target certain groups.

Genetic Predictors of Change in Waist Circumference and Waist-to-Hip Ratio With Lifestyle Intervention: The Trans-NIH Consortium for Genetics of Weight Loss Response to Lifestyle Intervention.

Genome-wide association studies have identified single nucleotide polymorphisms (SNPs) associated with waist circumference (WC) and waist-to-hip ratio (WHR) adjusted for BMI (WCadjBMI and WHRadjBMI), but it remains unclear whether these SNPs relate to change in WCadjBMI or WHRadjBMI with lifestyle intervention for weight loss. We hypothesized that polygenic scores (PS) comprised of 59 SNPs previously associated with central adiposity would predict less of a reduction in WCadjBMI or WHRadjBMI at 8-10 weeks in two lifestyle intervention trials, NUGENOB and DiOGenes, and at 1 year in five lifestyle intervention trials, Look AHEAD, Diabetes Prevention Program, Diabetes Prevention Study, DIETFITS, and PREDIMED-Plus. One-SD higher PS related to a smaller 1-year change in WCadjBMI in the lifestyle intervention arms at year 1 and thus predicted poorer response (ß = 0.007; SE = 0.003; P = 0.03) among White participants overall and in White men (ß = 0.01; SE = 0.004; P = 0.01). At average weight loss, this amounted to 0.20-0.28 cm per SD. No significant findings emerged in White women or African American men for the 8-10-week outcomes or for WHRadjBMI. Findings were heterogeneous in African American women. These results indicate that polygenic risk estimated from these 59 SNPs relates to change in WCadjBMI with lifestyle intervention, but the effects are small and not of sufficient magnitude to be clinically significant.

Changes in the Prevalence of Symptoms of Depression, Loneliness, and Insomnia in U.S. Older Adults With Type 2 Diabetes During the COVID-19 Pandemic: The Look AHEAD Study.

OBJECTIVE: To evaluate changes in the prevalence of depressive symptoms, loneliness, and insomnia among older adults with type 2 diabetes from 2016 to 2020 and to assess risk factors for these conditions including demographics, multimorbidity, BMI, treatment group, and pre-coronavirus 2019 (COVID-19) measure scores. RESEARCH DESIGN AND METHODS: This was a prospective, observational study of participants from the Look AHEAD (Action for Health in Diabetes) cohort study. Data were from two assessments before COVID-19 (visit 1: April 2016-June 2018 and visit 2: February 2018-February 2020) and one assessment during COVID-19 (visit 3: July-December 2020). Surveys were administered to assess depressive symptoms, loneliness, and insomnia. RESULTS: The study included 2829 adults (63.2% female, 60.6% White, mean [SD] age 75.6 [6.0] years). The prevalence of mild or greater depressive symptoms did not change significantly between the two pre-pandemic visits (P = 0.88) but increased significantly from pre- to during COVID-19 (19.3% at V2 to 30.4% at V3; P < 0.001). Higher odds of mild or greater depressive symptoms at V3 were associated with being female (adjusted odds ratio [OR] 1.4 [95% CI 1.1-1.7]), identifying as non-Hispanic White (OR 1.4 [95% CI 1.1-1.7]), having obesity (OR 1.3 [95% CI 1.0-1.5]), and reporting mild or greater depressive symptoms at V1 (OR 4.0 [95% CI 2.9-5.4]), V2 (OR 4.4 [95% CI 3.2-5.9]), or both visits (OR 13.4 [95% CI 9.7-18.4]). The prevalence of loneliness increased from 12.3% at V1 to 22.1% at V3 (P < 0.001), while the prevalence of insomnia remained stable across visits at 31.5-33.3%. CONCLUSIONS: The prevalence of mild or greater depressive symptoms in older adults with diabetes was more than 1.6 times higher during COVID-19 than before the pandemic.

Does the impact of intensive lifestyle intervention on cognitive function vary depending baseline level of frailty? An ancillary study to the Action for Health in Diabetes (Look AHEAD) Trial.

AIMS: To assess whether there is an opportune window when intensive lifestyle intervention (ILI) benefits cognitive function. METHODS: Standardized cognitive assessments were collected following ≥8 years of either ILI or a control condition of diabetes support and education (DSE) in 3708 individuals, ages 45-76 years at enrollment, with type 2 diabetes and overweight or obesity. Frailty index (FI) scores were used to group individuals at baseline into tertiles according to their age-related health status. Linear models were used to describe intervention adherence and cognitive function, with interaction terms to examine the consistency of relationships among tertiles. RESULTS: Worse baseline FI scores were associated with poorer subsequent performance in tests of attention, processing speed, and executive function. No differences in any measure of cognitive function were observed between intervention groups within any FI tertile (all p > 0.10). Among individuals with worse baseline FI scores, weight gain was associated with poorer global cognitive function among participants assigned to DSE. There was no association between weight changes and cognitive function among participants assigned to ILI. CONCLUSIONS: Among adults with type 2 diabetes and overweight/obesity, we found no evidence that there is a window of opportunity based on FI when ILI benefits cognitive function.

Does the Impact of Intensive Lifestyle Intervention on Cardiovascular Disease Risk Vary According to Frailty as Measured via Deficit Accumulation?

BACKGROUND: Individuals are often counseled to use behavioral weight loss strategies to reduce risk for cardiovascular disease (CVD). We examined whether any benefits for CVD risk from weight loss intervention extend uniformly to individuals across a range of underlying health states. METHODS: The time until first occurrence of a composite of fatal and nonfatal myocardial infarction and stroke, hospitalized angina, or CVD death was analyzed from 8 to 11 years of follow-up of 4,859 adults who were overweight or obese, aged 45-76 years with Type 2 diabetes. Individuals had been randomly assigned to either an intensive lifestyle intervention (ILI) or diabetes support and education (DSE). Participants were grouped by intervention assignment and a frailty index (FI) based on deficit accumulation, ordered from fewer (first tertile) to more (third tertile) deficits. RESULTS: Baseline FI scores were unrelated to intervention-induced weight losses and increased physical activity. The relative effectiveness of ILI on CVD incidence was inversely related to baseline FI in a graded fashion (p = .01), with relative benefit (hazard ratio = 0.73 [95% CI 0.55,0.98]) for individuals in the first FI tertile to no benefit (hazard ratio = 1.15 [0.94,1.42]) among those in the third FI tertile. This graded relationship was not seen for individuals ordered by age tertile (p = .52), and was stronger among participants aged 45-59 years (three-way interaction p = .04). CONCLUSIONS: In overweight/obese adults with diabetes, multidomain lifestyle interventions may be most effective in reducing CVD if administered before individuals have accrued many age-related health deficits. However, these exploratory analyses require confirmation by other studies. CLINICAL TRIAL REGISTRATION: NCT00017953.

Loneliness Relates to Functional Mobility in Older Adults with Type 2 Diabetes: The Look AHEAD Study.

OBJECTIVE: Little is known about the impact of loneliness on physical health among elderly individuals with diabetes. Here, we examined the relationship of loneliness with disability, objective physical function, and other health outcomes in older individuals with type 2 diabetes and overweight or obesity. METHOD: Data are drawn from the Look AHEAD study, a diverse cohort of individuals (ages 61-92) with overweight or obesity and type 2 diabetes measured 5-6 years after a 10-year weight loss randomized, controlled trial. RESULTS: Loneliness scores were significantly associated with greater disability symptoms and slower 4-meter gait speed (ps < 0.01). Loneliness did not differ across treatment arms. Discussion. Overall, these results extend prior findings relating loneliness to disability and decreased mobility to older individuals with type 2 diabetes and overweight or obesity.

Behavioral and Cardiovascular Effects of a Behavioral Weight Loss Program for People Living with HIV.

We recently reported that a 12-week internet weight loss program produced greater weight losses than education control in overweight/obese people living with HIV (PLWH) (4.4 kg vs 1.0 kg; p < 0.05). This manuscript presents the changes in diet, physical activity, behavioral strategies, and cardio-metabolic parameters. Participants (N = 40; 21 males, 19 females) were randomly assigned to an internet behavioral weight loss (WT LOSS) program or internet education control (CONTROL) and assessed before and after the 12-week program. Compared to CONTROL, the WT LOSS arm reported greater use of behavioral strategies, decreases in intake (- 681 kcal/day; p = 0.002), modest, non-significant, increases in daily steps (+ 1079 steps/day) and improvements on the Healthy Eating Index. There were no significant effects on cardio-metabolic parameters. The study suggests that a behavioral weight loss program increases the use of behavioral strategies and modestly improves dietary intake and physical activity in PLWH. Further studies with larger sample sizes and longer follow-up are needed.Clinical Trials Registration: NCT02421406.

Change in Cardiometabolic Risk Factors Associated With Magnitude of Weight Regain 3 Years After a 1-Year Intensive Lifestyle Intervention in Type 2 Diabetes Mellitus: The Look AHEAD Trial.

Background Weight regain after weight loss is common. The impact on cardiometabolic risk factors is not well established. Methods and Results Publicly available data were analyzed from participants of the Look AHEAD (Action for Health in Diabetes) trial with ≥3% initial weight loss (n=1561) during a 1-year intensive lifestyle intervention and with year 4 follow-up data. Participants who regained (regainers) or maintained (maintainers) weight loss were defined with 5 dichotomized cut points (0%, 25%, 50%, 75%, and 100%) of percentage weight loss regained (weight change from years 1-4 as percentage of first year weight loss). Change in cardiometabolic risk factors after initial weight loss was compared in maintainers and regainers, after controlling for demographics, medications, and baseline and year 1 change in body mass index. The effect was assessed separately in participants with <10% and ≥10% initial weight loss, and women and men. Maintainers exhibited significant improvements to the cardiometabolic risk factors assessed compared with regainers. No weight regain cut point maximized risk difference between maintainers and regainers across risk factors or sex/initial weight loss subgroups. For many risk factors, allowing more regain as part of maintenance (increasing cut point) diminished the cardiometabolic benefit among maintainers. Conclusions Maintaining weight loss was better than regain for all risk factors. No single cut point maximized the risk difference between maintainers and regainers. Maintainers who kept off ≥75% of weight lost had the greatest benefit. These findings emphasize the importance of intervention programs focusing not only on weight loss but weight loss maintenance, given the adverse consequences of the latter. Clinical Trial Registration URL: http://www.clinicaltrials.gov. Unique identifier: NCT00017953.

Effects of Cognitive Strategies on Neural Food Cue Reactivity in Adults with Overweight/Obesity.

OBJECTIVE: Functional magnetic resonance imaging (fMRI) studies of obesity have revealed key roles for reward-related and inhibitory control-related activity in response to food cues. This study examines how cognitive strategies impact neural food cue reactivity. METHODS: In a within-participants, block-design, fMRI paradigm, 30 participants (24 women; mean BMI = 31.8) used four mind-sets while viewing food: "distract" (cognitive behavioral therapy based), "allow" (acceptance and commitment therapy based), "later" (focusing on long-term negative consequences), and "now" (control; focusing on immediate rewards). Participants rated cravings by noting urges to eat on four-point Likert scales after each block. RESULTS: Self-reported cravings significantly differed among all conditions (pairwise comparisons P < 0.05). Cravings were lowest when participants considered long-term consequences (LATER mind-set: 1.7 [SD 0.7]), were significantly higher when participants used the DISTRACT (1.9 [SD 0.7]) and ALLOW (2.3 [SD 0.9]) mind-sets, and were highest when participants used the NOW mind-set (3.2 [SD 0.7]). These behavioral differences were accompanied by differences in neural food cue reactivity. The LATER mind-set (long-term consequences) led to greater inhibitory-control activity in the dorsolateral prefrontal cortex. The cognitive behavioral therapy-based DISTRACT mind-set was associated with greater activity in executive function and reward-processing areas, whereas the ALLOW mind-set (acceptance and commitment therapy) elicited widespread activity in frontal, reward-processing, and default-mode regions. CONCLUSIONS: Because focusing on negative long-term consequences led to the greatest decrease in cravings and increased inhibitory control, this may be a promising treatment strategy for obesity.

Precision behavioral medicine: Implications of genetic and genomic discoveries for behavioral weight loss treatment.

This article reviews the concept of precision behavioral medicine and the progress toward applying genetics and genomics as tools to optimize weight management intervention. We discuss genetic, epigenetic, and genomic markers, as well as interactions between genetics and the environment as they relate to obesity and behavioral weight loss to date. Recommendations for the conditions under which genetics and genomics could be incorporated to support clinical decision-making in behavioral weight loss are outlined and illustrative scenarios of how this approach could improve clinical outcomes are provided. It is concluded that there is not yet sufficient evidence to leverage genetics or genomics to aid the treatment of obesity but the foundations are being laid. (PsycINFO Database Record (c) 2018 APA, all rights reserved).

Comparison among criteria to define successful weight-loss maintainers and regainers in the Action for Health in Diabetes (Look AHEAD) and Diabetes Prevention Program trials.

Background: Given the low rates of successful weight maintenance after lifestyle-induced weight loss, it is critical to develop approaches that distinguish successful weight-loss maintainers from regainers.Objective: The aim of this study was to compare published categorization criteria that differentiate maintainers and regainers via quantitative agreement.Design: The study used publicly available data from Look AHEAD (Action for Health in Diabetes; n = 1791) and Diabetes Prevention Program (DPP; n = 613) participants with ≥3% initial weight loss after lifestyle interventions and 4-y follow-up data. Eight previously published criteria defining maintainers and regainers were compared with respect to number of participants and concordance via agreement statistics. Criteria were assessed separately among those with 3-9% and ≥10% initial weight loss.Results: Regainers had higher body weight at year 4 than did maintainers (mean difference range: 6.6-11.9 kg in Look AHEAD; 11.5-14.6 kg in DPP; P < 0.0001). Assessing concordance among criteria, agreement was dependent on initial weight loss. Among those with 3-9% initial weight loss in both cohorts, 9 of 28 comparisons were concordant (agreement ≥80%). Among those with ≥10% initial weight loss, 7 of 28 comparisons in Look AHEAD and 13 of 28 in the DPP were in high agreement. The definition of successful weight-loss maintenance "regaining ≤25% of initial weight loss during maintenance" showed high agreement with the most commonly used definition of "staying ≥10% below initial weight" among those with ≥10% initial weight loss (agreement: 85.0% in Look AHEAD; 87.4% in DPP). The same definition of ≤25% regain showed high agreement with the definition of staying ≥5% below initial weight among those with 3-9% initial weight loss (agreement: 91.6% in Look AHEAD; 90.5% in DPP).Conclusions: Although all of the criteria discriminated on the basis of weight loss, many showed low agreement, which limited cross-study comparisons. Among criteria with high agreement, the definition of successful weight maintenance "regaining ≤25% of initial weight loss during maintenance" is a preferred definition of success, given the realistic challenges of maintaining 100% weight loss and flexible application in populations with high initial weight-loss variations. This trial was registered at clinicaltrials.gov as NCT00017953 (Look AHEAD) and NCT00004992 (DPP).

The Effects of Experimental Manipulation of Sleep Duration on Neural Response to Food Cues.

Despite growing literature on neural food cue responsivity in obesity, little is known about how the brain processes food cues following partial sleep deprivation and whether short sleep leads to changes similar to those observed in obesity. We used functional magnetic resonance imaging (fMRI) to test the hypothesis that short sleep leads to increased reward-related and decreased inhibitory control-related processing of food cues.In a within-subject design, 30 participants (22 female, mean age = 36.7 standard deviation = 10.8 years, body mass index range 20.4-40.7) completed four nights of 6 hours/night time-in-bed (TIB; short sleep) and four nights of 9 hours/night TIB (long sleep) in random counterbalanced order in their home environments. Following each sleep condition, participants completed an fMRI scan while viewing food and nonfood images.A priori region of interest analyses revealed increased activity to food in short versus long sleep in regions of reward processing (eg, nucleus accumbens/putamen) and sensory/motor signaling (ie, right paracentral lobule, an effect that was most pronounced in obese individuals). Contrary to the hypothesis, whole brain analyses indicated greater food cue responsivity during short sleep in an inhibitory control region (right inferior frontal gyrus) and ventral medial prefrontal cortex, which has been implicated in reward coding and decision-making (false discovery rate corrected q = 0.05).These findings suggest that sleep restriction leads to both greater reward and control processing in response to food cues. Future research is needed to understand the dynamic functional connectivity between these regions during short sleep and whether the interplay between these neural processes determines if one succumbs to food temptation.

A Randomized Controlled Trial of a Behavioral Weight Loss Program for Human Immunodeficiency Virus-Infected Patients.

Obesity compounds the negative health effects of human immunodeficiency virus (HIV) infection. We conducted the first randomized trial of behavioral weight loss for HIV-infected patients (n = 40). Participants randomized to an Internet behavioral weight loss program had greater 12-week weight loss (mean, 4.4 ± 5.4 kg vs 1.0 ± 3.3 kg; P = .02) and improvements in quality of life than controls. Clinical Trials Registration NCT02421406.

Identifying the mechanisms through which behavioral weight-loss treatment improves food decision-making in obesity.

OBJECTIVES: Behavioral weight loss (BWL) programs are the recommended treatment for obesity, yet it is unknown whether these programs change one's ability to use self-control in food choices and what specific mechanisms support such change. Using experimental economics methods, we investigated whether changes in dietary behavior in individuals with obesity following BWL are driven by one or more of the following potential mechanisms: changes in the perception of the 1) health or 2) taste of food items, and/or 3) shifting decision weights for health versus taste attributes. Therefore, we compared these mechanisms between obese participants and lifetime normal weight controls (NW) both before and after BWL. METHODS: Females with obesity (N = 37, mean BMI = 33.2) completed a food choice task involving health ratings, taste ratings, and decision-making pre- and post-standard BWL intervention. NW controls (N = 30, BMI = 22.4) completed the same task. RESULTS: Individuals with obesity exhibited increased self-control (selecting healthier, less tasty food choices) post-treatment. However, their rates of self-control remained significantly lower than NW. We found no differences in initial health perceptions across groups, and no changes with treatment. In contrast, taste ratings and the relative value of taste versus health decreased following treatment. Although, post-treatment participants continued to perceive unhealthy foods as tastier and used less self-control than NW controls, they showed significant improvements in these domains following a BWL intervention. CONCLUSIONS: To help individuals improve dietary decisions, additional research is needed to determine how to make greater changes in taste preferences and/or the assignment of value to taste versus health attributes in food choices.