Preoperative Depression Status and 5 Year Metabolic and Bariatric Surgery Outcomes in the PCORnet Bariatric Study Cohort.

OBJECTIVE: To examine whether depression status before metabolic and bariatric surgery (MBS) influenced 5-year weight loss, diabetes, and safety/utilization outcomes in the PCORnet Bariatric Study. SUMMARY OF BACKGROUND DATA: Research on the impact of depression on MBS outcomes is inconsistent with few large, long-term studies. METHODS: Data were extracted from 23 health systems on 36,871 patients who underwent sleeve gastrectomy (SG; n=16,158) or gastric bypass (RYGB; n=20,713) from 2005-2015. Patients with and without a depression diagnosis in the year before MBS were evaluated for % total weight loss (%TWL), diabetes outcomes, and postsurgical safety/utilization (reoperations, revisions, endoscopy, hospitalizations, mortality) at 1, 3, and 5 years after MBS. RESULTS: 27.1% of SG and 33.0% of RYGB patients had preoperative depression, and they had more medical and psychiatric comorbidities than those without depression. At 5 years of follow-up, those with depression, versus those without depression, had slightly less %TWL after RYGB, but not after SG (between group difference = 0.42%TWL, P = 0.04). However, patients with depression had slightly larger HbA1c improvements after RYGB but not after SG (between group difference = - 0.19, P = 0.04). Baseline depression did not moderate diabetes remission or relapse, reoperations, revision, or mortality across operations; however, baseline depression did moderate the risk of endoscopy and repeat hospitalization across RYGB versus SG. CONCLUSIONS: Patients with depression undergoing RYGB and SG had similar weight loss, diabetes, and safety/utilization outcomes to those without depression. The effects of depression were clinically small compared to the choice of operation.

Psychotropic Medications in Metabolic and Bariatric Surgery: Research Updates and Clinical Considerations.

PURPOSE OF REVIEW: We review evidence for assessing and monitoring psychotropic medications in metabolic and bariatric surgery (MBS) patients. We describe weight gain side effects, potential perioperative risks, pharmacokinetic changes that occur after MBS, and conclude with clinical recommendations. RECENT FINDINGS: Research on psychiatric medication use and post-MBS weight outcomes is lacking and inconsistent; however, there is consistent evidence that, though variable, psychiatric medication use is associated with weight gain. Several meta-analyses and reviews provide guidance on lowering risk when appropriate. Perioperative lithium toxicity and SSRI discontinuation syndrome also warrant consideration, as do potential post-operative pharmacokinetic changes. In the absence of data for each psychiatric drug classification, close symptom monitoring and, where appropriate, serum concentration monitoring are recommended. MBS patients are a psychiatrically vulnerable population, and many are on psychiatric medications. Given potential weight/metabolic side effects, perioperative complications, and post-operative pharmacokinetic changes that occur with psychotropic medication use, providers should stay well informed on psychiatric medication management considerations.

Electronic Health Record-Based Recruitment and Retention and Mobile Health App Usage: Multisite Cohort Study.

BACKGROUND: To address the obesity epidemic, there is a need for novel paradigms, including those that address the timing of eating and sleep in relation to circadian rhythms. Electronic health records (EHRs) are an efficient way to identify potentially eligible participants for health research studies. Mobile health (mHealth) apps offer available and convenient data collection of health behaviors, such as timing of eating and sleep. OBJECTIVE: The aim of this descriptive analysis was to report on recruitment, retention, and app use from a 6-month cohort study using a mobile app called Daily24. METHODS: Using an EHR query, adult patients from three health care systems in the PaTH clinical research network were identified as potentially eligible, invited electronically to participate, and instructed to download and use the Daily24 mobile app, which focuses on eating and sleep timing. Online surveys were completed at baseline and 4 months. We described app use and identified predictors of app use, defined as 1 or more days of use, versus nonuse and usage categories (ie, immediate, consistent, and sustained) using multivariate regression analyses. RESULTS: Of 70,661 patients who were sent research invitations, 1021 (1.44%) completed electronic consent forms and online baseline surveys; 4 withdrew, leaving a total of 1017 participants in the analytic sample. A total of 53.79% (n=547) of the participants were app users and, of those, 75.3% (n=412), 50.1% (n=274), and 25.4% (n=139) were immediate, consistent, and sustained users, respectively. Median app use was 28 (IQR 7-75) days over 6 months. Younger age, White race, higher educational level, higher income, having no children younger than 18 years, and having used 1 to 5 health apps significantly predicted app use (vs nonuse) in adjusted models. Older age and lower BMI predicted early, consistent, and sustained use. About half (532/1017, 52.31%) of the participants completed the 4-month online surveys. A total of 33.5% (183/547), 29.3% (157/536), and 27.1% (143/527) of app users were still using the app for at least 2 days per month during months 4, 5, and 6 of the study, respectively. CONCLUSIONS: EHR recruitment offers an efficient (ie, high reach, low touch, and minimal participant burden) approach to recruiting participants from health care settings into mHealth research. Efforts to recruit and retain less engaged subgroups are needed to collect more generalizable data. Additionally, future app iterations should include more evidence-based features to increase participant use.

What influences the "when" of eating and sleeping?A qualitative interview study.

Timing of eating relative to sleep and endogenous circadian rhythm impacts weight and cardiometabolic health. We used qualitative methods to explore what influences the "when" of eating and sleeping. We conducted 37 one-on-one semi-structured interviews among participants with a body mass index (BMI) ≥ 25 kg/m2 recruited from three internal medicine clinics affiliated with an urban academic hospital. Participants (70.3% Female; 51.4% White; Age range: 21-83 years old) completed measures of social jetlag, physical activity, eating habits, and mobile application use and participated in interviews following a guide developed by the study team. Responses were recorded, transcribed and coded sequentially by two trained researchers using editing-style analysis to identify themes. We identified two main themes, each with subthemes: 1) influences on the "when" of eating and sleeping, with subthemes including social jetlag and being overscheduled, and 2) contextualizing beliefs and perceptions about the "when" of eating and sleeping, with subthemes including perceived recommendations for timing of eating and sleeping, and alignment of behaviors with perceived recommendations. Many participants noted being more flexible in their eating and sleeping times on work-free vs work days. The themes this study identified should be considered when designing interventions that influence the timing of eating and sleeping for weight management.

Perspectives of pregnant and postpartum women and obstetric providers to promote healthy lifestyle in pregnancy and after delivery: a qualitative in-depth interview study.

BACKGROUND: Pregnancy provides an opportunity to promote healthy lifestyle behaviors. This study's aim was to explore the perspectives of pregnant and postpartum women and obstetric providers around behavioral lifestyle changes in pregnancy and postpartum. METHODS: We conducted a qualitative study with pregnant and postpartum patients recruited from 2 prenatal care clinics at an urban, academic hospital in the United States. In-depth interviews with 23 pregnant or postpartum women and 11 obstetric providers were completed between October 2015-April 2016. Interviews were audio-recorded and transcribed verbatim. We coded transcripts for thematic content and applied the PRECEDE-PROCEED framework for results to directly inform program development. RESULTS: Six themes highlighted the predisposing, enabling and reinforcing factors that enable and sustain health behavior changes in pregnancy and postpartum: 1) "Motivation to have a healthy baby" during pregnancy and to "have my body back" after delivery, 2) Pre-pregnancy knowledge and experiences about pregnancy and the postpartum period, 3) Prioritizing wellness during pregnancy and postpartum, 4) The power of social support, 5) Accountability, 6) Integration with technology to reinforce behavior change. CONCLUSIONS: In this qualitative study, pregnant and postpartum women and obstetric providers described themes that are aimed at encouraging lifestyle changes to promote healthy weight gain in pregnancy and can directly inform the development of a behavioral weight management intervention for pregnant and postpartum women that is patient-centered and tailored to their needs.

Weight gain trajectories in hospital-based treatment of anorexia nervosa.

Weight gain is a primary treatment goal for anorexia nervosa (AN); however little is known about heterogeneity in weight gain pattern during treatment. Preliminary evidence suggests weight gain trajectory is associated with treatment outcome. This study grouped patients using mixture modeling into weight gain trajectories, and compared predictors and treatment outcomes between trajectory groups. Women diagnosed with AN or subthreshold AN (N = 211) completed self-report measures at admission and six-months after discharge from an integrated inpatient (IP)-partial hospitalization (PH) behavioral specialty eating disorders program. Gowned weights were measured daily. Three distinct trajectories emerged: negative quadratic (Optimal), negative quadratic with fast weight gain (Fast), and positive linear with slower weight gain (Slow). The majority of patients were assigned to the Optimal group. Trajectory groups differed on admission, discharge, and follow-up variables. The Fast group emerged as most distinct. Women in this group were more than twice as likely to binge and or vomit regularly compared with the other two groups and were most likely to achieve weight restoration by discharge and to have more positive weight outcomes at short-term follow-up. There were no group differences in eating disorder behavioral frequencies at follow-up when adjusting for behavioral severity at admission. Weight gain trajectory may serve as a personalized in-treatment marker of outcome and could inform research on moderators and mediators of treatment response. Randomized controlled treatment studies, utilizing weight gain trajectories to determine group membership, may help identify subgroups of patients with differential responses to treatment interventions.

Intensive treatment for adults with anorexia nervosa: The cost of weight restoration.

OBJECTIVE: Weight restoration in anorexia nervosa (AN) is associated with lower relapse risk; however rate of weight gain and percent of patients achieving weight restoration (BMI ≥ 19 at discharge) vary among treatment programs. We compared both cost/pound of weight gained and cost of weight restoration in a hospital-based inpatient (IP)-partial hospitalization (PH) eating disorders program to estimates of these costs for residential treatment. METHOD: All adult first admissions to the IP-PH program with AN (N = 314) from 2003 to 2015 were included. Cost of care was based on hospital charges, rates of weight gain, and weight restoration data. Results were compared with residential treatment costs extracted from a national insurance claims database and published weight gain data. RESULTS: Average charge/day in the IP-PH program was $2295 for IP and $1567 for PH, yielding an average cost/pound gained of $4089 and $7050, respectively, with 70% of patients achieving weight restoration. Based on published mean weight gain data and conservative cost/day estimates, residential treatment is associated with higher cost/pound, and both higher cost and lower likelihood of weight restoration for most patients. DISCUSSION: The key metrics used in this study are recommended for comparing the cost-effectiveness of intensive treatment programs for patients with AN.

Neuroticism and clinical course of weight restoration in a meal-based, rapid-weight gain, inpatient-partial hospitalization program for eating disorders.

We evaluated the impact of personality on weight restoration in 211 underweight (BMI ≤ 19 kg/m2) females admitted to an inpatient-partial hospitalization program for eating disorders. Symptomatology and personality were assessed by questionnaires, and clinical and demographic variables were assessed by chart review. Neuroticism, a personality trait associated with reactivity to stress, was correlated with higher symptomatology, chronicity, length of stay, and income source. Contrary to our hypothesis, neuroticism was positively associated with weight restoration. Length of stay mediated this relationship such that longer length of stay in patients with high neuroticism explained their higher likelihood of weight restoration prior to program discharge. Higher neuroticism is therefore associated with better weight restoration outcomes but may also indicate greater difficulty transitioning out of intensive treatment.

Perceived coercion in inpatients with Anorexia nervosa: Associations with illness severity and hospital course.

OBJECTIVE: The use of coercion in the treatment for anorexia nervosa (AN) is controversial and the limited studies to date have focused on involuntary treatment. However, coercive pressure for treatment that does not include legal measures is common in voluntarily admitted patients with AN. Empirical data examining the effect of non-legal forms of coerced care on hospital outcomes are needed. METHOD: Participants (N = 202) with AN, Avoidant/Restrictive Food Intake Disorder (ARFID), or subthreshold AN admitted to a hospital-based behavioral specialty program completed questionnaires assessing illness severity and perceived coercion around the admissions process. Hospital course variables included inpatient length of stay, successful transition to a step-down partial hospitalization program, and achievement of target weight prior to program discharge. RESULTS: Higher perceived coercion at admission was associated with increased drive for thinness and body dissatisfaction, but not with admission BMI. Perceived coercion was not related to inpatient length of stay, rate of weight gain, or achievement of target weight although it was predictive of premature drop-out prior to transition to an integrated partial hospitalization program. DISCUSSION: These results, from an adequately powered sample, demonstrate that perceived coercion at admission to a hospital-based behavioral treatment program was not associated with rate of inpatient weight gain or achieving weight restoration, suggesting that coercive pressure to enter treatment does not necessarily undermine formation of a therapeutic alliance or clinical progress. Future studies should examine perceived coercion and long-term outcomes, patient views on coercive pressures, and the effect of different forms of leveraged treatment.

Decreased Escitalopram Concentrations Post-Roux-en-Y Gastric Bypass Surgery.

BACKGROUND: There is a high coincidence between obesity and psychiatric disorders including depression. Depressive disorders are commonly treated with antidepressants, including the selective serotonin reuptake inhibitor Lexapro (escitalopram). Although candidates for elective Roux-en-Y gastric bypass (RYGB) surgery may be treated with escitalopram, drug dosing strategies are typically not adjusted postoperatively. Therefore, studies are needed to better characterize escitalopram drug concentrations in a postsurgical setting. METHODS: Turbulent flow-liquid chromatographic-tandem mass spectrometric methods were used to quantify escitalopram concentrations in serum in study participants approved for RYGB. Blood was collected from study subjects 2 weeks before surgery, and 2 and 6 weeks postoperatively, to assess the impact of RYGB on systemic drug concentrations. RESULTS: Twelve samples from 4 study participants were collected and analyzed for serum escitalopram concentrations. Two weeks post-RYGB, although there were minimal changes in each participant's body mass index (<5%), drug concentrations were 33% (4%-71%) decreased as compared with presurgical serum concentrations. There were further decreases in drug concentrations 6 weeks postsurgery. All clinical laboratory values were within normal reference intervals. CONCLUSIONS: RYGB significantly alters the gastrointestinal tract and impacts escitalopram drug concentrations, even shortly after surgery.

Refeeding and weight restoration outcomes in anorexia nervosa: Challenging current guidelines.

OBJECTIVE: Cohort study from February 2003 through May 2011 to determine weight restoration and refeeding complication outcomes for patients with anorexia nervosa (AN) treated in an integrated inpatient-partial hospital eating disorder program designed to produce rapid weight gain and weight restoration in the majority. METHOD: Consecutive admissions (females and males, adolescents and adults; N = 361 patients, 461 admissions) at least 1.8 kg below target weight with AN or subthreshold variants were included. Main outcome measures were rates of hypophosphatemia, transfer to medicine, or death; rates of weight gain and percent achieving weight restoration. RESULTS: Hypophosphatemia was present in 7.9% of cases at admission and in 18.5% at some point during treatment. Hypophosphatemia was mild to moderate. Lower admission body mass index (BMI), but not rate of weight gain, predicted hypophosphatemia [OR = 0.65; p < .00001 (95% CI 0.57-0.76)]. Five patients (1.1%) were transferred to medicine or surgery, none because of refeeding. There were no deaths. Mean inpatient weight gain was 1.98 kg/week; mean partial hospital weight gain was 1.36 kg/week. By program discharge, 71.8% of adults reached a BMI of 19, 58.5% a BMI of 20. For adolescents, 80.4% came within 2 kg of their target weight; 76.1% came within 1 kg. DISCUSSION: Refeeding patients with AN using a hospital-based, behavioral protocol may be accomplished safely and more rapidly than generally recognized, weight restoring most patients by discharge. Helpful elements may include the program's integrated, step-down structure; multidisciplinary team approach emphasizing group therapy to effect behavior change; and close medical monitoring for those with BMI < 15.

Application of Latent Class Analysis to Identify Behavioral Patterns of Response to Behavioral Lifestyle Interventions in Overweight and Obese Adults.

BACKGROUND: Examining responders and non-responders to behavioral lifestyle interventions among overweight/obese adults with additional comorbidities may aid in refining and tailoring obesity treatment. PURPOSE: The purpose of this study is to demonstrate the use of latent class analysis to identify patterns of response to behavioral lifestyle interventions based on adherence to diet and exercise recommendations. METHOD: Repeated measures latent class analysis was applied to two clinical trial datasets, combination of two active interventions in the PREMIER Trial (n = 501) and phase 1 of the Weight Loss Maintenance Trial (WLM; n = 1685), to identify patterns of response to behavioral lifestyle interventions. Treatment response was based on adherence to daily recommendations for fruit/vegetable, fat, saturated fat, sodium, and exercise at baseline and 6 months. RESULTS: In PREMIER, three distinct latent classes emerged: responders (45.9%), non-responders (23.6%), and early adherers (30.5%). Responders and Early Adherers had greater weight loss at 6 and 18 months and were more likely to meet behavioral recommendations at 18 months than Non-responders. For WLM, there were four latent classes: partial responders (16%), non-responders (40%), early adherers (2%), and fruit/veggie only responders (41%). Non-responders in WLM had significantly less weight loss at 6 months compared to that of the other three latent classes. CONCLUSION: Latent class analysis is a useful method to apply to clinical trial data to identify distinct patterns of response to behavioral interventions. Overweight/ obese participants who respond to behavioral lifestyle treatment (i.e., meet behavioral recommendations) have significantly greater weight loss than that of participants who do not make behavioral changes.

Comparative effectiveness of weight-loss interventions in clinical practice.

BACKGROUND: Obesity and its cardiovascular complications are extremely common medical problems, but evidence on how to accomplish weight loss in clinical practice is sparse. METHODS: We conducted a randomized, controlled trial to examine the effects of two behavioral weight-loss interventions in 415 obese patients with at least one cardiovascular risk factor. Participants were recruited from six primary care practices; 63.6% were women, 41.0% were black, and the mean age was 54.0 years. One intervention provided patients with weight-loss support remotely--through the telephone, a study-specific Web site, and e-mail. The other intervention provided in-person support during group and individual sessions, along with the three remote means of support. There was also a control group in which weight loss was self-directed. Outcomes were compared between each intervention group and the control group and between the two intervention groups. For both interventions, primary care providers reinforced participation at routinely scheduled visits. The trial duration was 24 months. RESULTS: At baseline, the mean body-mass index (the weight in kilograms divided by the square of the height in meters) for all participants was 36.6, and the mean weight was 103.8 kg. At 24 months, the mean change in weight from baseline was -0.8 kg in the control group, -4.6 kg in the group receiving remote support only (P<0.001 for the comparison with the control group), and -5.1 kg in the group receiving in-person support (P<0.001 for the comparison with the control group). The percentage of participants who lost 5% or more of their initial weight was 18.8% in the control group, 38.2% in the group receiving remote support only, and 41.4% in the group receiving in-person support. The change in weight from baseline did not differ significantly between the two intervention groups. CONCLUSIONS: In two behavioral interventions, one delivered with in-person support and the other delivered remotely, without face-to-face contact between participants and weight-loss coaches, obese patients achieved and sustained clinically significant weight loss over a period of 24 months. (Funded by the National Heart, Lung, and Blood Institute and others; ClinicalTrials.gov number, NCT00783315.).

Sleep, obesity, and weight loss in adults: is there a rationale for providing sleep interventions in the treatment of obesity?

Rates of obesity and sleep disturbances are substantial in adults. A number of cross-sectional, longitudinal, and experimental studies have found that insufficient sleep and possibly longer sleep are associated with obesity and related eating patterns. Methodological discrepancies and limitations in the literature create ambiguity about the nature and potential mechanisms underlying these relationships. Insomnia and circadian patterns in eating and sleeping have also been examined in relation to weight. Although these studies are not as extensive as those examining sleep duration, the extant literature suggests possible associations between obesity and both insomnia (particularly when combined with short sleep duration) and circadian eating behaviours. However, research has only just begun to examine the benefits of combining sleep interventions with obesity treatment. The goal of the current review is to summarize research examining behavioural sleep patterns and disorders in relation to obesity, to discuss methodological considerations, and to provide an overview of studies examining whether addressing sleep disturbances can augment weight loss treatment effects. We conclude that future studies are needed that take into account sleep duration, sleep disorder co-morbidity, and chronobiology to explore the impact of sleep interventions on weight loss.

Psychosocial predictors of weight regain in the weight loss maintenance trial.

This study's purpose was to identify psychosocial predictors of weight loss maintenance in a multi-site clinical trial, following a group-based weight loss program. Participants (N = 1025) were predominately women (63%) and 38% were Black (mean age = 55.6 years; SD = 8.7). At 12 months, higher SF-36 mental health composite scores were associated with less weight regain (p < .01). For Black participants, an interaction existed between race and friends' encouragement for exercise, where higher exercise encouragement was related to more weight regain (p < .05). At 30 months, friends' encouragement for healthy eating was associated with more weight regain (p < .05), whereas higher SF-36 mental health composite scores were related to less weight regain (p < .0001). Perceived stress and select health-related quality of life indices were associated with weight regain; this relationship varied across gender, race, and treatment conditions. Temporal changes in these variables should be investigated for their impact on weight maintenance.

Longitudinal accuracy of web-based self-reported weights: results from the Hopkins POWER Trial.

BACKGROUND: Websites and phone apps are increasingly used to track weights during weight loss interventions, yet the longitudinal accuracy of these self-reported weights is uncertain. OBJECTIVE: Our goal was to compare the longitudinal accuracy of self-reported weights entered online during the course of a randomized weight loss trial to measurements taken in the clinic. We aimed to determine if accuracy of self-reported weight is associated with weight loss and to determine the extent of misclassification in achieving 5% weight loss when using self-reported compared to clinic weights. METHODS: This study examined the accuracy of self-reported weights recorded online among intervention participants in the Hopkins Practice-Based Opportunities for Weight Reduction (POWER) trial, a randomized trial examining the effectiveness of two lifestyle-based weight loss interventions compared to a control group among obese adult patients with at least one cardiovascular risk factor. One treatment group was offered telephonic coaching and the other group was offered in-person individual coaching and group sessions. All intervention participants (n=277) received a digital scale and were asked to track their weight weekly on a study website. Research staff used a standard protocol to measure weight in the clinic. Differences (self-reported weight - clinic weight) indicate if self-report under (-) or over (+) estimated clinic weight using the self-reported weight that was closest in time to the clinic weight and was within a window ranging from the day of the clinic visit to 7 days before the 6-month (n=225) and 24-month (n=191) clinic visits. The absolute value of the differences (absolute difference) describes the overall accuracy. RESULTS: Underestimation of self-reported weights increased significantly from 6 months (mean -0.5 kg, SD 1.0 kg) to 24 months (mean -1.1 kg, SD 2.0 kg; P=.002). The average absolute difference also increased from 6 months (mean 0.7 kg, SD 0.8 kg) to 24 months (mean 1.3, SD 1.8 kg; P<.001). Participants who achieved the study weight loss goal at 24 months (based on clinic weights) had lower absolute differences (P=.01) compared to those who did not meet this goal. At 24 months, there was 9% misclassification of weight loss goal success when using self-reported weight compared to clinic weight as an outcome. At 24 months, those with self-reported weights (n=191) had three times the weight loss compared to those (n=73) without self-reported weights (P<.001). CONCLUSIONS: Underestimation of weight increased over time and was associated with less weight loss. In addition to intervention adherence, weight loss programs should emphasize accuracy in self-reporting. TRIAL REGISTRATION: ClinicalTrials.gov: NCT00783315; http://clinicaltrials.gov/show/NCT00783315 (Archived by WebCite at http://www.webcitation.org/6R4gDAK5K).

Differences in weight-loss outcomes among race-gender subgroups by behavioural intervention delivery mode: An analysis of the POWER trial.

Prior in-person behavioural intervention studies have documented differential weight loss between men and women and by race, with Black women receiving the least benefit. Remotely delivered interventions are now commonplace, but few studies have compared outcomes by race-gender groups and delivery modality. We conducted a secondary analysis of POWER, a randomized trial (NCT00783315) designed to determine the effectiveness of 2 active, lifestyle-based, weight loss interventions (remote vs. in-person) compared to a control group. Participants with obesity and at least one cardiovascular disease risk factor (N = 415) were recruited in the Baltimore, MD area. Data from 233 white and 170 Black individuals were used for this analysis. Following an intention-to-treat approach, we compared the mean percent weight loss at 24 months by race-gender subgroups using repeated-measures, mixed-effects models. Everyone lost weight in the active interventions however, weight loss differed by race and gender. white and Black men had similar results for both interventions (white: in-person (-7.6%) remote (-7.4%); Black: in-person (-4.7%) remote (-4.4%)). In contrast, white women lost more weight with the in-person intervention (in-person (-7.2%) compared to the remote (-4.4%)), whereas Black women lost less weight in the in-person group compared to the remote intervention at 24 months (-2.0% vs. -3.0%, respectively; p for interaction <.001). We found differences between the effectiveness of the 2 weight loss interventions-in-person or remote-in white and Black women at 24 months. Future studies should consider intervention modality when designing weight loss interventions for women.

Weight loss history as a predictor of weight loss: results from Phase I of the weight loss maintenance trial.

Past studies have suggested that weight loss history is associated with subsequent weight loss. However, questions remain whether method and amount of weight lost in previous attempts impacts current weight loss efforts. This study utilized data from the Weight Loss Maintenance Trial to examine the association between weight loss history and weight loss outcomes in a diverse sample of high-risk individuals. Multivariate regression analysis was conducted to determine which specific aspects of weight loss history predict change in weight during a 6-month weight loss intervention. Greater weight loss was predicted by fewer previous weight loss attempts with assistance (p = 0.03), absence of previous dietary/herbal weight loss supplement use (p = 0.01), and greater maximum weight loss in previous attempts (p < 0.001). Future interventions may benefit from assessment of weight loss history and tailoring of interventions based on past weight loss behaviors and outcomes.

A screening tool to assess and manage behavioral risk in the postoperative bariatric surgery patient: The WATCH.

Bariatric surgery is increasingly recognized as a highly effective treatment for individuals who are severely obese. Amount of weight loss and resolution of comorbidities surpass those of nonsurgical approaches; however, suboptimal weight loss and weight regain are not uncommon. These outcomes, though not fully understood, are likely at least partially explained by failure to make long-term behavioral and/or cognitive changes. We are unaware of any established clinical tools to guide providers in assessing postoperative behaviors and identifying those who may require specialized treatment. The goal of this paper is to introduce a brief screening tool, The WATCH, to help clinicians assess and identify patients who may be at risk for poor or untoward outcomes post bariatric surgery. We first review the literature on postoperative outcomes, including weight loss, resolution of comorbidities, suboptimal outcomes, and development of problematic eating behaviors. We then provide an easily-recalled, five-item tool that assesses outcomes, and discuss patient responses that may necessitate further intervention or referral.

Adverse childhood experiences and sleep links in a predominantly Black sample of overweight adults.

Adverse childhood experiences (ACEs) have been associated with worse sleep, but existing literature is limited by use of predominantly White samples, lack of objective sleep measurement, and use of non-standardized questionnaires. We investigated associations between retrospectively reported ACEs and sleep in adulthood in a sample of 43 adults 20-53 years of age, free from chronic conditions, with a Body mass index (BMI) ≥ 25 (Mean age = 33.14 [SD = 10.05], 74% female, 54% Black). Sleep efficiency (SE), total sleep time (TST), wake after sleep onset (WASO), and sleep onset latency (SOL), were measured by actigraphy and daily diary. Global sleep quality and insomnia severity were measured by questionnaires. Sleepiness, fatigue, and sleep quality were also measured by daily diary. Adjusting for demographic characteristics and BMI, ACEs were significantly associated with poorer global sleep quality and diary measures of greater daytime sleepiness, fatigue, and poorer sleep quality. There were no significant associations between ACEs and SE, TST, WASO, or SOL measured by diary or actigraphy. Findings suggest that ACEs are associated with worse sleep perception and daytime functioning in adulthood. Larger prospective studies are needed to replicate these findings, examine racial/ethnic differences, and determine temporal associations between ACEs, sleep, and health (e.g., BMI).