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.

Associations between causal attributions for obesity and long-term weight loss.

Obesity is a complex disease caused by a wide array of behavioral, biological, and environmental factors. However, obesity is often attributed to oversimplified and stigmatizing causal factors such as laziness, lack of willpower, and failure to take personal responsibility for one's health. Understanding of the causal factors that contribute to obesity among people with obesity may affect their weight management efforts. The current study explored associations between causal attributions for obesity and long-term weight loss, as well as examined potential changes in attributions with weight reduction. The 16-item Causal Attributions for Obesity scale (rated 1-7) was administered to 178 patients seeking behavioral/pharmacological weight-loss treatment. Causal attributions and weight were assessed at baseline, after 14 weeks of a low-calorie diet, and again at weeks 24 and 52 of a subsequent randomized trial (i.e., 66 weeks total). Logistic and linear regression examined effects of baseline causal attribution ratings on weight loss. Higher baseline ratings of personal responsibility attributions predicted 38% reduced odds of achieving ≥10% weight loss at week 52 (p = 0.02). Causal attribution ratings did not change over time or correlate continuously with weight change. Thus, attributing obesity to a failure of personal responsibility may impair long-term weight management efforts for individuals seeking ≥10% weight loss. Targeted techniques are needed to reduce patients' stigmatizing beliefs about the causes of obesity.

Weight Bias Internalization and Long-Term Weight Loss in Patients With Obesity.

BACKGROUND: The relationship between weight bias internalization (WBI) and long-term weight loss is largely unknown. PURPOSE: To determine the effects of weight loss on WBI and assess whether WBI impairs long-term weight loss. METHODS: One hundred thirty-three adults with obesity completed the Weight Bias Internalization Scale (WBIS) at baseline, after a 14-week lifestyle intervention in which they lost ≥5 per cent of initial weight, and at weeks 24 and 52 of a subsequent randomized controlled trial (RCT) for weight-loss maintenance (66 weeks total). Linear mixed models were used to examine the effects of weight loss on WBIS scores and the effects of baseline WBIS scores on weight change over time. Logistic regression was used to determine the effects of baseline WBIS scores on achieving ≥5 and ≥10 per cent weight loss. RESULTS: Changes in weight did not predict changes in WBIS scores. Baseline WBIS scores predicted reduced odds of achieving ≥5 and ≥10 per cent weight loss at week 24 of the RCT (p values < .05). At week 52, the interaction between participant race and WBIS scores predicted weight loss (p = .046) such that nonblack (but not black) participants with higher baseline WBIS scores had lower odds of achieving ≥10 per cent weight loss (OR = 0.38, p = .01). Baseline WBIS scores did not significantly predict rate of weight change over time. CONCLUSIONS: Among participants in a weight loss maintenance trial, WBI did not change in relation to changes in weight. More research is needed to clarify the effects of WBI on long-term weight loss and maintenance across race/ethnicity. CLINICAL TRIALS REGISTRATION: ClinicalTrials.gov identifier NCT02388568.

Management of Obesity.

This review examines weight loss and accompanying improvements in obesity-related comorbidities produced by intensive lifestyle intervention, pharmacotherapy, and bariatric surgery. Obese individuals lose approximately 6 to 8 kg (approximately 6% to 8% of initial weight) with 6 months of participation in a high-intensity lifestyle intervention (≥ 14 treatment visits) consisting of diet, physical activity, and behavior therapy. Such losses reduce progression to type 2 diabetes in at-risk people and decrease blood pressure and triglyceride levels. All diets, regardless of macronutrient composition, can produce clinically meaningful weight loss (> 5%) if they induce a deficit ≥ 500 kcal/d. Physical activity of 150 to 180 min/wk yields modest short-term weight loss compared with diet but contributes to improvements in obesity-related conditions. Gradual weight regain is common after lifestyle intervention but can be prevented by continued participation in monthly weight loss maintenance sessions, as well as by high levels of physical activity (ie, 200 to 300 min/wk). Patients unable to reduce satisfactorily with lifestyle intervention may be candidates for pharmacotherapy, recommended as an adjunct. Five medications have been approved by the US Food and Drug Administration for chronic weight management, and each has its own risk/benefit profile. The addition of these medications to lifestyle intervention increases mean weight loss by 2.5 to 8.9 kg compared with placebo. Patients with severe obesity who are unable to reduce successfully with lifestyle intervention and pharmacotherapy are eligible for bariatric surgery, including Roux-en-Y gastric bypass, sleeve gastrectomy, or adjustable gastric banding. The first two procedures yield long-term (≥ 3 years) reductions of ≥ 20% of initial weight that are associated with decreases in morbidity and potentially mortality. Greater resources and dissemination efforts are needed to increase the availability of these three approaches for the millions of Americans who would benefit from them.

The Effect of Changes in Cardiorespiratory Fitness and Weight on Obstructive Sleep Apnea Severity in Overweight Adults with Type 2 Diabetes.

STUDY OBJECTIVES: To examine the effect of changes in cardiorespiratory fitness on obstructive sleep apnea (OSA) severity prior to and following adjustment for changes in weight over the course of a 4-y weight loss intervention. METHODS: As secondary analyses of a randomized controlled trial, 263 overweight/obese adults with type 2 diabetes and OSA participated in an intensive lifestyle intervention or education control condition. Measures of OSA severity, cardiorespiratory fitness, and body weight were obtained at baseline, year 1, and year 4. Change in the apnea-hypopnea index (AHI) served as the primary outcome. The percentage change in fitness (submaximal metabolic equivalents [METs]) and change in weight (kg) were the primary independent variables. Primary analyses collapsed intervention conditions with statistical adjustment for treatment group and baseline METs, weight, and AHI among other relevant covariates. RESULTS: At baseline, greater METs were associated with lower AHI (B [SE] = -1.48 [0.71], P = 0.038), but this relationship no longer existed (B [SE] = -0.24 [0.73], P = 0.75) after adjustment for weight (B [SE] = 0.31 [0.07], P < 0.0001). Fitness significantly increased at year 1 (+16.53 ± 28.71% relative to baseline), but returned to near-baseline levels by year 4 (+1.81 ± 24.48%). In mixed-model analyses of AHI change over time without consideration of weight change, increased fitness at year 1 (B [SE] = -0.15 [0.04], P < 0.0001), but not at year 4 (B [SE] = 0.04 [0.05], P = 0.48), was associated with AHI reduction. However, with weight change in the model, greater weight loss was associated with AHI reduction at years 1 and 4 (B [SE] = 0.81 [0.16] and 0.60 [0.16], both P < 0.0001), rendering the association between fitness and AHI change at year 1 nonsignificant (B [SE] = -0.04 [0.04], P = 0.31). CONCLUSIONS: Among overweight/obese adults with type 2 diabetes, fitness change did not influence OSA severity change when weight change was taken into account. CLINICAL TRIAL REGISTRATION: ClinicalTrials.gov identification number NCT00194259.

GLP-1 plays a limited role in improved glycemia shortly after Roux-en-Y gastric bypass: a comparison with intensive lifestyle modification.

Rapid glycemic improvements following Roux-en-Y gastric bypass (RYGB) are frequently attributed to the enhanced GLP-1 response, but causality remains unclear. To determine the role of GLP-1 in improved glucose tolerance after surgery, we compared glucose and hormonal responses to a liquid meal test in 20 obese participants with type 2 diabetes mellitus who underwent RYGB or nonsurgical intensive lifestyle modification (ILM) (n = 10 per group) before and after equivalent short-term weight reduction. The GLP-1 receptor antagonist exendin(9-39)-amide (Ex-9) was administered, in random order and in double-blinded fashion, with saline during two separate visits after equivalent weight loss. Despite the markedly exaggerated GLP-1 response after RYGB, changes in postprandial glucose and insulin responses did not significantly differ between groups, and glucagon secretion was paradoxically augmented after RYGB. Hepatic insulin sensitivity also increased significantly after RYGB. With Ex-9, glucose tolerance deteriorated similarly from the saline condition in both groups, but postprandial insulin release was markedly attenuated after RYGB compared with ILM. GLP-1 exerts important insulinotropic effects after RYGB and ILM, but the enhanced incretin response plays a limited role in improved glycemia shortly after surgery. Instead, enhanced hepatic metabolism, independent of GLP-1 receptor activation, may be more important for early postsurgical glycemic improvements.

Threshold for improvement in insulin sensitivity with adolescent weight loss.

OBJECTIVES: To assess the association of weight loss and insulin sensitivity, glucose tolerance, and metabolic syndrome (MS) in obese adolescents following weight loss treatment, and to determine the threshold amount of weight loss required to observe improvements in these measures. STUDY DESIGN: A randomized, controlled behavioral weight loss trial was conducted with 113 obese adolescents. Changes in fasting insulin, homeostasis model assessment of insulin resistance, whole body insulin sensitivity index (WBISI), body mass index (BMI), and MS criteria were assessed at baseline and at month 4. RESULTS: There was significant improvement in all measures of insulin sensitivity at month 4. Mean fasting insulin dropped from 22.3 to 16.6 µU/mL (P < .0001). Homeostasis model assessment of insulin resistance decreased significantly from 4.9 to 3.7 (P = .001) and WBISI increased significantly from 2.87 to 3.98 (P < .0001). An 8% reduction in BMI led to a significant improvement in WBISI (P = .03) and was the optimal threshold. Fewer individuals met criteria for MS after weight loss (P = .0038), although there were no significant changes in the individual features of the syndrome. CONCLUSIONS: In this trial, weight loss at month 4 was associated with improved insulin sensitivity in obese adolescents. An approximate decrease in BMI of 8% was the threshold level at which insulin sensitivity improved. As more weight loss programs are designed for obese adolescents, it will be important to have reasonable weight loss goals that will yield improvements in metabolic and cardiovascular disease risk factors.