Associations between weight bias internalization, weight status, and health among a diverse cohort of freshman college students.

Mental health concerns are common among college students, especially students with higher body mass index (BMI). Weight bias internalization (WBI) is thought to contribute to these mental health disparities. However, little is known about how WBI differs among more diverse students, and to what extent WBI may explain associations between BMI and health in college populations. This study compared rates of WBI in Freshman college students (N = 1289) across gender, race/ethnicity, and sexual orientation, and assessed whether WBI mediated associations between BMI and mental health (depression, self-esteem, stress, loneliness) and behavioral health (disordered eating, physical activity, gym use). Black students and men demonstrated reduced WBI while bisexual women showed increased WBI. Further, WBI mediated the association of BMI with mental health and disordered eating, but not physical activity. These findings suggest that stigma may account for mental health disparities among higher-BMI students, and that minoritized groups are disproportionately impacted.

Contribution of social, behavioral, and contextual exposures to Black-White disparities in incident obesity: The CARDIA study.

OBJECTIVE: The aim of this study was to quantify the contributions of socioeconomic, psychosocial, behavioral, reproductive, and neighborhood exposures in young adulthood to Black-White differences in incident obesity. METHODS: In the Coronary Artery Risk Development in Young Adults (CARDIA) study, 4488 Black or White adults aged 18 to 30 years without obesity at baseline (1985-1986) were followed over 30 years. Sex-specific Cox proportional hazard models were used to estimate Black-White differences in incident obesity. Models were adjusted for baseline and time-updated indicators. RESULTS: During follow-up, 1777 participants developed obesity. Black women were 1.87 (95% CI: 1.63-2.13) times more likely and Black men were 1.53 (95% CI: 1.32-1.77) times more likely to develop obesity than their White counterparts after adjusting for age, field center, and baseline BMI. Baseline exposures explained 43% of this difference in women and 52% in men. Time-updated exposures explained more of the racial difference in women but less for men, compared with baseline exposures. CONCLUSIONS: Adjusting for these exposures accounted for a substantial but incomplete proportion of racial disparities in incident obesity. Remaining differences may be explained by incomplete capture of the most salient aspects of these exposures or potential variation in the impact of these exposures on obesity by race.

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.

A biobehavioural and social-structural model of inflammation and executive function in pediatric chronic health conditions.

ABSTRACTEvidence indicates that pediatric chronic health conditions (CHCs) often impair executive functioning (EF) and impaired EF undermines pediatric CHC management. This bidirectional relationship likely occurs due to biobehavioural and social-structural factors that serve to maintain this feedback loop. Specifically, biobehavioural research suggests that inflammation may sustain a feedback loop that links together increased CHC severity, challenges with EF, and lower engagement in health promoting behaviours. Experiencing social and environmental inequity also maintains pressure on this feedback loop as experiencing inequities is associated with greater inflammation, increased CHC severity, as well as challenges with EF and engagement in health promoting behaviours. Amidst this growing body of research, a model of biobehavioural and social-structural factors that centres inflammation and EF is warranted to better identify individual and structural targets to ameliorate the effects of CHCs on children, families, and society at large. This paper proposes this model, reviews relevant literature, and delineates actionable research and clinical implications.

Pretreatment and During-Treatment Weight Trajectories in Black and White Women.

INTRODUCTION: Black participants often lose less weight than White participants in response to behavioral weight-loss interventions. Many participants experience significant pretreatment weight fluctuations (between baseline measurement and treatment initiation), which have been associated with treatment outcomes. Pretreatment weight gain has been shown to be more prevalent among Black participants and may contribute to racial differences in treatment responses. The purpose of this study was to (1) examine the associations between pretreatment weight change and treatment outcomes and (2) examine racial differences in pretreatment weight change and weight loss among Black and White participants. METHODS: Participants were Black and White women (n=153, 60% Black) enrolled in a 4-month weight loss program. Weight changes occurring during the pretreatment period (41 ± 14 days) were categorized as weight stable (±1.15% of baseline weight), weight gain (≥+1.15%), or weight loss (≤-1.15%). Recruitment and data collection occurred from 2011 to 2015; statistical analyses were performed in 2021. RESULTS: During the pretreatment period, most participants (56%) remained weight stable. Pretreatment weight trajectories did not differ by race (p=0.481). At 4-months, those who lost weight before treatment experienced 2.63% greater weight loss than those who were weight stable (p<0.005), whereas those who gained weight before treatment experienced 1.91% less weight loss (p<0.01). CONCLUSIONS: Pretreatment weight changes can impact weight outcomes after initial treatment, although no differences between Black and White participants were observed. Future studies should consider the influence of pretreatment weight change on long-term outcomes (e.g., weight loss maintenance) along with potential racial differences in these associations. This study is registered (retrospectively registered) at ClinicalTrials.gov (NCT02487121) on June 26, 2015.

The association between neighborhood social and economic environment and prevalent diabetes in urban and rural communities: The Reasons for Geographic and Racial Differences in Stroke (REGARDS) study.

Objective: The association between neighborhood disadvantage and health is well-documented. However, whether these associations may differ across rural and urban areas is unclear. This study examines the association between a multi-item neighborhood social and economic environment (NSEE) measure and diabetes prevalence across urban and rural communities in the US. Methods: This study included 27,159 Black and White participants aged ≥45 years at baseline (2003-2007) from the REasons for Geographic and Racial Differences in Stroke (REGARDS) study. Each participant's residential address was geocoded. NSEE was calculated as the sum of z-scores for six US Census tract variables (% of adults with less than high school education; % of adults unemployed; % of households earning <$30,000 per year; % of households in poverty; % of households on public assistance; and % of households with no car) and within strata of community type (higher density urban, lower density urban, suburban/small town, and rural). NSEE was categorized as quartiles, with higher NSEE quartiles reflecting more disadvantage. Prevalent diabetes was defined as fasting blood glucose ≥126 mg/dL or random blood glucose ≥200 mg/dL or use of diabetes medication at baseline. Multivariable adjusted Poisson regression models were used to estimate prevalence ratios (PR) and 95% confidence intervals (CI) for the association between NSEE and prevalent diabetes across community types. Results: The mean age was 64.8 (SD=9.4) years, 55% were women, 40.7% were non-Hispanic Black adults. The overall prevalence of diabetes was 21% at baseline and was greatest for participants living in higher density urban areas (24.5%) and lowest for those in suburban/small town areas (18.5%). Compared with participants living in the most advantaged neighborhood (NSEE quartile 1, reference group), those living in the most disadvantaged neighborhoods (NSEE quartile 4) had higher diabetes prevalence in crude models. After adjustment for sociodemographic factors, the association remained statistically significant for moderate density community types (lower density urban quartile 4 PR=1.50, 95% CI=1.29, 1.75; suburban/small town quartile 4 PR=1.54, 95% CI=1.24, 1.92). These associations were also attenuated and of smaller magnitude for those living in higher density urban and rural communities. Conclusion: Participants living in the most disadvantaged neighborhoods had a higher diabetes prevalence in each urban/rural community type and these associations were only partly explained by individual-level sociodemographic factors. In addition to addressing individual-level factors, identifying neighborhood characteristics and how they operate across urban and rural settings may be helpful for informing interventions that target chronic health conditions.

Correlates of psychological distress among adults with obesity during the COVID-19 pandemic.

OBJECTIVE: The present study evaluated changes in stress and loneliness among participants with obesity engaged in weight loss self-management in the United States (US) during COVID-19, and identified factors that may increase risk or protect against psychosocial distress during this time. DESIGN: Participants who were enrolled in a weight self-management program prior to the COVID-19 pandemic (N = 55, 91% female, 36% Caucasian, mean age = 49.8 years) completed an online survey about social, economic and health behaviour changes during COVID-19 and their relationship to changes in perceived stress and loneliness. MAIN OUTCOME MEASURES: Perceived Stress (PSS-4), Loneliness (PROMIS loneliness and social isolation questionnaire). RESULTS: Compared to pre-COVID assessments, stress and loneliness increased 40% two months into the COVID-19 pandemic-related shutdown. Higher body mass index (BMI) and social distancing were associated with increases in both loneliness and stress. Alcohol intake was associated with increased stress, and working from home was associated with increased loneliness. CONCLUSION: Individuals with obesity endorsed increased stress and loneliness during COVID-19, which may be exacerbated among those with a higher BMI and greater adherence to social distancing guidelines. Ongoing attention to psychosocial well-being among individuals with obesity will remain imperative both during the ongoing pandemic and beyond.

Factors Associated with Weight Loss Maintenance and Weight Regain Among African American and White Adults Initially Successful at Weight Loss.

BACKGROUND: Providing ongoing treatment through extended care programs can improve weight loss maintenance (WLM), but the effectiveness of these programs for African Americans (AA) are mixed and may be due to unique cultural factors. PURPOSE: To identify, prioritize, and organize factors associated with WLM as experienced by AA and White adults initially successful with weight loss. METHODS: Adults identified their greatest amount of lifetime weight loss, and those achieving ≥5% weight loss were classified as maintainers (continued >5% weight reduction for ≥1 year) or regainers (≤5% weight reduction) based on current weight. The nominal group technique was conducted to identify and rank WLM facilitators and barriers. Online card sorting tasks and hierarchical clustering were performed to illustrate conceptual relationships between facilitators (maintainers only) and barriers (regainers only). RESULTS: Participants (maintainers, n = 46; regainers, n = 58; 81.7% women, 48.1% AA) identified known factors associated with successful weight management (daily weighing, self-monitoring, regular physical activity, mindful eating). However, the perceived importance of these factors differed between groups (maintainer vs. regainers; AA vs. Whites). Unique factors affecting WLM were also identified (refresher groups recommended by White maintainers and regainers; self-accountability identified by AA maintainers). Salient facilitators and barriers were best represented in 2-3 clusters; each group had ≥1 unique cluster(s) revealing group-specific higher-order domains associated with successful WLM. CONCLUSIONS: As lifestyle interventions for WLM (particularly for AA) are developed, attention to the preferences, and lived experiences of these groups is recommended. Strategies targeting physical activity maintenance and autonomy-supportive approaches may improve WLM among AA.

Legacy of a 10-Year Multidomain Lifestyle Intervention on the Cognitive Trajectories of Individuals with Overweight/Obesity and Type 2 Diabetes Mellitus.

INTRODUCTION: Weight loss and increased physical activity interventions are commonly recommended for individuals with type 2 diabetes (T2D) and overweight or obesity. We examined the impact of randomization to an intensive lifestyle intervention (ILI) on trajectories of cognitive function over 10 years in a cohort of participants in a randomized clinical trial who had T2D and overweight/obesity at baseline. METHODS: Participants aged 45-76 years were enrolled in 2001-2004 and were randomized to the ILI or a diabetes support and education (DSE) condition. Cognitive function was assessed in 3,938 participants at up to 4 time points 8-18 years after randomization. General linear mixed effects models examined cognitive trajectories over time. Subgroup analyses focused on sex, individuals with baseline body mass index >30, those carrying the APOE ε4 allele, and those with a baseline history of cardiovascular disease (CVD). RESULTS: Overall, there were no differences in the rate of cognitive decline by intervention arm. Subgroup analyses showed that participants who had a baseline history of CVD and were randomized to the ILI arm of the study performed significantly worse on the Stroop Color Word Test than those in the DSE arm. DISCUSSION/CONCLUSIONS: The ILI did not result in preserved cognitive function or slower rates of cognitive decline in this cohort of individuals who had T2D and were overweight or obese at baseline.

The COVID-19 pandemic and weight management: Effective behaviors and pandemic-specific risk factors.

BACKGROUND: Obesity and comorbid conditions are associated with worse outcomes related to COVID-19. Moreover, social distancing adherence during the COVID-19 pandemic may predict weight gain due to decreased physical activity, increased emotional eating, and social isolation. While early studies suggest that many individuals struggled with weight management during the pandemic, less is known about healthy eating and weight control behaviors among those enrolled in weight loss programs. METHODS: The present study evaluated weight management efforts among weight loss program participants during the COVID-19 pandemic. Participants' (N = 55, 90.9% female, 36% white, Mage = 49.8) demographics and body mass index were collected two months prior to the COVID-19 statewide shutdown. During the lockdown, an online survey assessed health behaviors, coping, COVID-19 experiences (e.g., social distancing, loneliness), and weight gain. Logistic regressions examined demographics, health behaviors, and COVID-19 factors as predictors of weight gain. RESULTS: Most participants (58%) reported gaining weight during COVID-19. Weight gain was predicted by challenges with the following health behaviors: physical activity, monitoring food intake, choosing healthy foods, and emotional eating. Loneliness and working remotely significantly related to emotional eating, physical activity, and choosing healthy foods. CONCLUSIONS: Loneliness and working remotely increased the difficulty of weight management behaviors during COVID-19 among weight loss program participants. However, staying active, planning and tracking food consumption, choosing healthy foods, and reducing emotional eating protected against weight gain. Thus, these factors may be key areas for weight management efforts during the pandemic.

The daily Self-Weighing for Obesity Management in Primary Care Study: Rationale, design and methodology.

Background Daily self-weighing (DSW) may be an effective harm-reduction intervention to disrupt continued weight gain. Self-Weighing for Obesity Management in Primary Care (SWOP) is a 24-month randomized controlled trial in 400 adults with obesity (BMI: kg/m2 ≥ 30) receiving primary care through a clinical network affiliated with an academic medical center. Objective To test DSW as a potentially scalable way to deter age-related weight gain among primary care patients with obesity. Methods Randomized-controlled trial with two conditions: DSW (instruction to weigh daily and provision of a web-enabled digital scale with graphical weight feedback) or Standard Care (receive a monetary gift card equivalent to value of the scale). Both groups receive standardized weight management educational material. SWOP will test the causal effect of assignment to DSW (Aim 1) and adherence to DSW (Aim 2) on weight (primary outcome) and adoption of weight management practices (secondary outcomes), as well as evaluate the cost-effectiveness of DSW compared to standard care (Aim 3). Findings may inform clinical guidelines for weight management by providing evidence that DSW attenuates continued age-related weight gain among adults with obesity. This trial is registered with ClinicalTrials.gov (NCT04044794).

Executive function in individuals with clinically significant weight loss via behavioral intervention.

BACKGROUND: Executive function (EF) is associated with obesity development and self-management. Individuals who demonstrate or self-report poorer EF performance tend to have poorer short-term outcomes in obesity treatment. There may be distinct behavioral self-management strategies and EF domains related to initial weight loss as compared to weight loss maintenance. OBJECTIVE: To characterize EF in individuals who achieved clinically significant weight loss via behavioral intervention and examine potential differences in EF between those who maintained versus regained lost weight. METHODS: Participants who previously achieved ≥5% weight loss via lifestyle intervention were included (N = 44). "Maintainers" (n = 16) maintained this minimum level of weight loss for ≥1 year. "Regainers" (n = 28) regained some or all initially lost weight. Performance-based EF, intelligence quotient, health literacy, depression, anxiety, binge eating, demographics, and medical/weight history were assessed using a cross-sectional design. Descriptive statistics and age-, gender-, education-adjusted reference ranges were used to characterize EF. Analyses of covariance were conducted to examine EF differences between maintainers and regainers. RESULTS: The sample consisted primarily of females with obesity over age 50. Approximately half self-identified as African-American. Decision-making performance was better in maintainers than regainers (p = 0.003, partη2 = 0.19). There were no differences between maintainers and regainers in inhibitory control, verbal fluency, planning/organization, cognitive flexibility, or working memory (ps > 0.05, partη2s = 0.003-0.07). At least 75% of the sample demonstrated average-above average EF test performance, indicated by scaled scores ≥13 or t-scores > 60. CONCLUSIONS: Most individuals with obesity who achieved clinically significant weight loss via behavioral intervention had average to above average EF. Individuals who maintained (vs. regained) their lost weight performed better on tests of decision-making.

Sex Differences in Factors Contributing to the Racial Disparity in Diabetes Risk.

INTRODUCTION: Diabetes incidence differs by race in the U.S., with a persistent reported Black-White disparity. However, the factors that contribute to this excess risk in middle-aged and older adults are unclear. METHODS: This prospective cohort study included 7,171 Black and White adults aged ≥45 years without diabetes at baseline (2003‒2007) who completed a follow-up examination (2013‒2016). Modified Poisson regression was used to obtain sex-stratified RRs for diabetes. Mediation analyses using a change in ß coefficient assessed individual and neighborhood factors that contribute to the racial disparity in diabetes incidence. Statistical analyses were conducted in 2018-2019. RESULTS: The cumulative incidence of diabetes was higher for Black men (16.2%) and women (17.7%) than for White men (11.0%) and women (8.1%). Adjusting for age and prediabetes, diabetes risk was higher for Black women than for White women (RR=1.75, 95% CI=1.47, 2.07) and for Black men than for White men (RR=1.33, 95% CI=1.09, 1.64). The individual factors that attenuated the racial disparity the most were Southern dietary pattern (change in ß=42.8%) and neighborhood socioeconomic environment (change in ß=26.3%) among men and BMI (change in ß=34.4%) and waist circumference (change in ß=32.4%) among women. When including all factors collectively, the racial disparity in diabetes incidence was similar for men (RR=1.38, 95% CI=1.04, 1.83) and was attenuated for women (RR=1.41, 95% CI=1.11, 1.81). CONCLUSIONS: The racial disparity in diabetes incidence remained after accounting for individual and neighborhood factors. Further investigation of additional factors underlying this racial disparity is needed to inform multilevel strategies for diabetes prevention.

Similar weight loss and maintenance in African American and White women in the Improving Weight Loss (ImWeL) trial.

Objective: African Americans (AA) are often underrepresented and tend to lose less weight than White participants during the intensive phase of behavioral obesity treatment. Some evidence suggests that AA women experience better maintenance of lost weight than White women, however, additional research on the efficacy of extended care programs (i.e. continued contacts to support the maintenance of lost weight) is necessary to better understand these differences.Methods: The influence of race on initial weight loss, the likelihood of achieving ≥5% weight reduction (i.e. extended care eligibility), the maintenance of lost weight and extended care program efficacy was examined in 269 AA and White women (62.1% AA) participating in a 16-month group-based weight management program. Participants achieving ≥5% weight reduction during the intensive phase (16 weekly sessions) were randomized to a clustered campaign extended care program (12 sessions delivered in three, 4-week clusters) or self-directed control.Results: In adjusted models, race was not associated with initial weight loss (p = 0.22) or the likelihood of achieving extended care eligibility (odds ratio 0.64, 95% CI [0.29, 1.38]). AA and White women lost -7.13 ± 0.39 kg and -7.62 ± 0.43 kg, respectively, during initial treatment. There were no significant differences in weight regain between AA and White women (p = 0.64) after adjusting for covariates. Clustered campaign program participants (AA: -6.74 ± 0.99 kg, White: -6.89 ± 1.10 kg) regained less weight than control (AA: -5.15 ± 0.99 kg, White: -4.37 ± 1.04 kg), equating to a 2.12 kg (p = 0.03) between-group difference after covariate adjustments.Conclusions: Weight changes and extended care eligibility were comparable among all participants. The clustered campaign program was efficacious for AA and White women. The high representation and retention of AA participants may have contributed to these findings.

Within-Trial Cost-Effectiveness of a Structured Lifestyle Intervention in Adults With Overweight/Obesity and Type 2 Diabetes: Results From the Action for Health in Diabetes (Look AHEAD) Study.

OBJECTIVE: To assess the cost-effectiveness (CE) of an intensive lifestyle intervention (ILI) compared with standard diabetes support and education (DSE) in adults with overweight/obesity and type 2 diabetes, as implemented in the Action for Health in Diabetes study. RESEARCH DESIGN AND METHODS: Data were from 4,827 participants during their first 9 years of study participation from 2001 to 2012. Information on Health Utilities Index Mark 2 (HUI-2) and HUI-3, Short-Form 6D (SF-6D), and Feeling Thermometer (FT), cost of delivering the interventions, and health expenditures was collected during the study. CE was measured by incremental CE ratios (ICERs) in costs per quality-adjusted life year (QALY). Future costs and QALYs were discounted at 3% annually. Costs were in 2012 U.S. dollars. RESULTS: Over the 9 years studied, the mean cumulative intervention costs and mean cumulative health care expenditures were $11,275 and $64,453 per person for ILI and $887 and $68,174 for DSE. Thus, ILI cost $6,666 more per person than DSE. Additional QALYs gained by ILI were not statistically significant measured by the HUIs and were 0.07 and 0.15, respectively, measured by SF-6D and FT. The ICERs ranged from no health benefit with a higher cost based on HUIs to $96,458/QALY and $43,169/QALY, respectively, based on SF-6D and FT. CONCLUSIONS: Whether ILI was cost-effective over the 9-year period is unclear because different health utility measures led to different conclusions.

Revisiting the Compensatory Theory as an explanatory model for relapse in obesity management.

Weight regain remains the main challenge in obesity management, and its etiology remains elusive. The aim of the present review was to revise the available evidence regarding the "Compensatory Theory," which is an explanatory model of relapse in obesity treatment, and to propose alternative mechanisms that can contribute to weight regain. It has been proposed, and generally accepted as true, that when a person loses weight the body fights back, with physiological adaptations on both sides of the energy balance equation that try to bring body weight back to its original state: this is the Compensatory Theory. This theory proposes that the increased orexigenic drive to eat and the reduced energy expenditure that follow weight loss are the main drivers of relapse. However, evidence showing a link between these physiological adaptations to weight loss and weight regain is lacking. Here, we propose that the physiological adaptations to weight loss, both at the level of the homeostatic appetite control system and energy expenditure, are in fact a normalization to a lower body weight and not drivers of weight regain. In light of this we explore other potential mechanisms, both physiological and behavioral, that can contribute to the high incidence of relapse in obesity management. More research is needed to clearly ascertain whether the changes in energy expenditure and homeostatic appetite markers seen in reduced-obese individuals are a compensatory mechanism that drives relapse or a normalization towards a lower body weight, and to explore alternative hypotheses that explain relapse in obesity management.

Long-term Change in Physiological Markers and Cognitive Performance in Type 2 Diabetes: The Look AHEAD Study.

CONTEXT: The effects of physiological improvements on cognitive function among persons with type 2 diabetes mellitus (T2DM) are not fully understood. OBJECTIVE: To determine whether improvements in physiological markers (body weight, blood sugar control, and physical activity) during intensive lifestyle intervention (ILI) are associated with enhancements in cognitive function in older adults with T2DM. DESIGN: Multisite randomized controlled trial. SETTING: Academic research centers. PATIENTS OR OTHER PARTICIPANTS: Participants were aged 45-76 years, with T2DM. INTERVENTION: The Action for Health in Diabetes (Look AHEAD) study, a randomized, controlled clinical trial of ILI. MAIN OUTCOME MEASURE: Two to 3 cognitive assessments were collected from 1089 participants, the first and last occurring a mean (standard deviation) of 8.6 (1.0) and 11.5 (0.7) years after enrollment. RESULTS: Greater improvement in blood sugar control was associated with better cognitive scores (fasting glucose and Rey Auditory Verbal Learning Test [AVLT]: P = 0.0148; fasting glucose and Digit Symbol Coding (DSC): P = 0.0360; HbA1C and DSC: P = 0.0477); but weight loss had mixed associations with cognitive scores (greater body mass index [BMI] reduction and worse AVLT overall: P = 0.0053; and greater BMI reduction and better DSC scores among those overweight but not obese at baseline: P = 0.010). Associations were strongest among those who were overweight (not obese) at baseline, and among those with a history of cardiovascular disease (CVD) at baseline. CONCLUSIONS: Improvements in glycemic control, but not necessarily weight status, during ILI may be associated with better subsequent cognitive performance. These associations may differ by adiposity and CVD history.

Weight Change 2 Years After Termination of the Intensive Lifestyle Intervention in the Look AHEAD Study.

OBJECTIVE: This study evaluated weight changes after cessation of the 10-year intensive lifestyle intervention (ILI) in the Look AHEAD (Action for Health in Diabetes) study. It was hypothesized that ILI participants would be more likely to gain weight during the 2-year observational period following termination of weight-loss-maintenance counseling than would participants in the diabetes support and education (DSE) control group. METHODS: Look AHEAD was a randomized controlled trial that compared the effects of ILI and DSE on cardiovascular morbidity and mortality in participants with overweight/obesity and type 2 diabetes. Look AHEAD was converted to an observational study in September 2012. RESULTS: Two years after the end of the intervention (EOI), ILI and DSE participants lost a mean (SE) of 1.2 (0.2) kg and 1.8 (0.2) kg, respectively (P = 0.003). In addition, 31% of ILI and 23.9% of DSE participants gained ≥ 2% (P < 0.001) of EOI weight, whereas 36.3% and 45.9% of the respective groups lost ≥ 2% of EOI weight (P = 0.001). Two years after the EOI, ILI participants reported greater use of weight-control behaviors than DSE participants. CONCLUSIONS: Both groups lost weight during the 2-year follow-up period, but more ILI than DSE participants gained ≥ 2% of EOI weight. Further understanding is needed of factors that affected long-term weight change in both groups.

Symptom prevalence differences of depression as measured by BDI and PHQ scales in the Look AHEAD study.

OBJECTIVE: To compare depressive symptomatology as assessed by two frequently used measures, the Beck Depression Inventory (BDI-1A) and Patient Health Questionnaire (PHQ-9). METHODS: Investigators conducted a cross-sectional secondary analysis of data collected as part of the follow-up observational phase of the Look AHEAD study. Rates of agreement between the BDI-1A and PHQ-9 were calculated, and multivariable logistic regression was used to examine the relationship between differing depression category classifications and demographic factors (ie, age, sex, race/ethnicity) or comorbidities (ie, diabetes control, cardiovascular disease). RESULTS: A high level of agreement (κ = 0.47, 95% CI (0.43 to 0.50)) was found in the level of depressive symptomatology between the BDI-1A and PHQ-9. Differing classifications (minimal, mild, moderate, and severe) occurred in 16.8% of the sample. Higher scores on the somatic subscale of the BDI-1A were significantly associated with disagreement as were having a history of cardiovascular disease, lower health-related quality of life, and minority racial/ethnic classification. CONCLUSIONS: Either the BDI-1A or PHQ-9 can be used to assess depressive symptomatology in adults with overweight/obesity and type 2 diabetes. However, further assessment should be considered in those with related somatic symptoms, decreased quality of life, and in racial/ethnic minority populations.