Predictors of long term weight loss maintenance in patients at high risk of type 2 diabetes participating in a lifestyle intervention program in primary health care: The DE-PLAN study

Integration of Endogenous Opioid System Research in the Interprofessional Diagnosis and Treatment of Obesity and Eating Disorders

This third and final chapter in our trilogy introduces the clinical distinctions and phenotypical similarities between obesity and eating disorders. Research elaborating on the shared neurobiological substrates for obesity and eating disorders is discussed. We present an interprofessional model of treatment for both disordered eating and for obesity. Additionally, this chapter establishes the translational importance of research connecting endogenous opioid activity with both obesity and eating disorders, with an emphasis on clinical interventions. We conclude with a discussion of future directions for research.

Association Between Risk for Prediabetes and Type 2 Diabetes Mellitus Prevention Among Faculty Members and Administrative Staff of a Saudi University

BACKGROUND

Diabetes mellitus prevalence continues to rise globally, causing disability and decreased productivity among patients, a significant strain on healthcare systems, and a burden on national economies. In 2021, diabetes will affect approximately 537 million adults. The rising prevalence of prediabetes worldwide also poses a significant public health threat, as it is estimated that by 2030, more than 470 million individuals will be prediabetic.

OBJECTIVE

This study aimed to determine the association between the risk of prediabetes and the level of Type 2 Diabetes Mellitus (T2DM) prevention among faculty members and administrative staff of a Saudi university.

METHODS

An analytic cross-sectional study design was utilized. The prediabetes risk of respondents was assessed using a risk test developed by the CDC, while the participants' diabetes prevention practices were determined using a researcher-developed questionnaire. Data were collected from 360 selected faculty members and administrative staff of three randomly selected health colleges and three non-health colleges at King Faisal University, Hofuf, Al-Ahsa, Saudi Arabia, between September 25 and October 13, 2022. The collected data were subjected to estimation of proportion and logistic regression analyses using Epi InfoTM version 7.

RESULTS

Nearly 40% of respondents (39.72%, 95% CI: 34.80, 44.86) were found to be at high risk for prediabetes. The majority of university faculty and administrative staff consistently practiced T2DM preventive measures related to the limitation of processed food consumption, smoking cessation, and regular checking of weight and the nutritional value of food. However, there was poor T2DM prevention practice in terms of exercise, consumption of sweetened beverages, and stress reduction. Those who had a high prediabetes risk were 1.17 times more likely to engage in T2DM prevention practices. However, they were found to be 19% less likely to perform T2DM prevention practices when sociodemographic variables were held constant.

CONCLUSION

Prediabetes risk was prevalent among Saudi university faculty and administrative staff. T2DM prevention was not consistently practiced by those who had a high risk for prediabetes. High prediabetes risk was negatively associated with the level of T2DM prevention.

What is Obesity?: Definition as a Disease, with Implications for Care

Advances in the understanding of weight regulation provide the framework for the recognition of obesity as a chronic disease. Lifestyle approaches are foundational in the prevention of obesity and should be continued while weight management interventions, including antiobesity medications and metabolic-bariatric procedures, are offered to eligible patients. Clinical challenges remain, however, including overcoming obesity stigma and bias within the medical community toward medical and surgical approaches, ensuring insurance coverage for obesity management (including medications and surgery), and promoting policies that reverse the upward worldwide trend in obesity and adiposity complications in populations.

Physical Activity, Sleep, and Sedentary Behavior among Successful Long-Term Weight Loss Maintainers: Findings from a U.S. National Study

Despite adults’ desire to reduce body mass (weight) for numerous health benefits, few are able to successfully lose at least 5% of their starting weight. There is evidence on the independent associations of physical activity, sedentary behaviors, and sleep with weight loss; however, this study provided insight on the combined effects of these behaviors on long-term body weight loss success. Hence, the purpose of this cross-sectional study was to evaluate the joint relations of sleep, physical activity, and sedentary behaviors with successful long-term weight loss. Data are from the 2005–2006 wave of the National Health and Examination Survey (NHANES). Physical activity and sedentary behavior were measured with an accelerometer, whereas sleep time was self-reported. Physical activity and sleep were dichotomized into meeting guidelines (active/not active, ideal sleep/short sleep), and sedentary time was categorized into prolonged sedentary time (4th quartile) compared to low sedentary time (1st–3rd quartiles). The dichotomized behaviors were combined to form 12 unique behavioral combinations. Two-step multivariable regression models were used to determine the associations between the behavioral combinations with (1) long-term weight loss success (≥5% body mass reduction for ≥12-months) and (2) the amount of body mass reduction among those who were successful. After adjustment for relevant factors, there were no significant associations between any of the independent body weight loss behaviors (physical activity, sedentary time, and sleep) and successful long-term weight loss. However, after combining the behaviors, those who were active (≥150 min MVPA weekly), regardless of their sedentary time, were significantly (p < 0.05) more likely to have long-term weight loss success compared to the inactive and sedentary referent group. These results should be confirmed in longitudinal analyses, including investigation of characteristics of waking (type, domain, and context) and sleep (quality metrics) behaviors for their association with long-term weight loss success.

Lifestyle Habits Associated with Weight Regain After Intentional Loss in Primary Care Patients Participating in a Randomized Trial

BACKGROUND

Though long-term weight loss maintenance is the treatment goal for obesity, weight regain is typical and few studies have evaluated lifestyle habits associated with weight regain.

OBJECTIVE

To identify dietary and physical activity habits associated with 6- and 24-month weight regain among participants in a weight loss maintenance clinical trial.

DESIGN

Secondary analysis of randomized clinical trial data.

PARTICIPANTS

Adult primary care patients with recent, intentional weight loss of at least 5%.

MAIN MEASURES

Lifestyle habits included consumption of low-fat foods, fish, desserts, sugary beverages, fruits, and vegetables and eating at restaurants from the Connor Diet Habit Survey; moderate-vigorous physical activity by self-report; steps recorded by a pedometer; and sedentary behavior by self-report. The outcome variable was weight change at 6 and 24 months. Linear regression models estimated adjusted associations between changes in weight and changes in dietary and physical activity habits.

KEY RESULTS

Overall, participants (mean (SD): 53.4 (12.2) years old; 26% male; 88% white) maintained weight loss at 6 months (n = 178, mean (SD): - 0.02 (5.70)% change) but began to regain weight by 24 months (n = 157, mean (SD): 4.22 (9.15)% increase). When considered all together, more eating at restaurants, reduced fish consumption, and less physical activity were most consistently associated with weight regain in fully adjusted models at both 6 and 24 months of follow-up. In addition, more sedentary behavior was associated with weight regain at 6 months while reduced consumption of low-fat foods, and more desserts and sugary beverages were associated with weight regain at 24 months.

CONCLUSIONS

Consuming less fish, fewer steps per day, and more frequent restaurant eating were most consistently associated with weight regain in primary care patients. Primary care providers may consider addressing specific lifestyle behaviors when counseling patients after successful weight loss.

TRIAL REGISTRATION

ClinicalTrials.gov Identifier: NCT01946191.

Developing and testing a discrete event simulation model to evaluate budget impacts of diabetes prevention programs

Type 2 diabetes (T2D) is one of the most rapidly increasing non-communicable diseases worldwide. Lifestyle interventions are effective in preventing T2D but also resource intensive. This study evaluated with discrete event simulation (DES) the relative budget impacts of three hypothetical diabetes prevention programs (DPP), including group-based contact intervention, digital program with human coaching and fully automated program. The data for simulation were derived from research literature and national health and population statistics. The model was constructed using the iGrafx Process for Six Sigma software and simulations were carried out for 10 years. All simulated interventions produced cost savings compared to the situation without any intervention. However, this was a modeling study and future studies are needed to verify the results in real-life. Decision makers could benefit the predictive models regarding the long-term effects of diabetes prevention interventions, but more data is needed in particular on the usage, acceptability, effectiveness and costs of digital intervention tools.

Successful weight loss maintenance: A systematic review of weight control registries

Weight loss maintenance is a major challenge for obesity treatment. Weight control registries can be useful in identifying psychological and behavioural factors that could contribute to better long-term success. The objective of this study is to describe the existing weight control registries and their participants and identify correlates of weight loss maintenance. A comprehensive search of peer-reviewed articles published until November 2018 was conducted in PubMed, Web of Science, and Scopus. Studies that reported results from weight control registries were considered. Fifty-two articles, corresponding to five registries (the United States, Portugal, Germany, Finland, and Greece), were included. Registries differed in inclusion criteria and procedures. Of 51 identified weight loss and maintenance strategies, grouped in 14 domains of the Oxford Food and Activity Behaviors taxonomy, the following were the most frequently reported: having healthy foods available at home, regular breakfast intake, increasing vegetable consumption, decreasing sugary and fatty foods, limiting certain foods, and reducing fat in meals. Increased physical activity was the most consistent positive correlate of weight loss maintenance. To our knowledge, this is the first systematic review of information about successful weight loss maintenance obtained from weight control registries. Key common influential characteristics of success were identified, which can inform future prospective studies and weight management initiatives.

Behavioral Predictors of Weight Regain in Postmenopausal Women: Exploratory Results From the Breast Cancer and Exercise Trial in Alberta

OBJECTIVE

This secondary analysis assessed associations between changes in energy balance and sleep behaviors and the risk of weight regain following exercise-induced weight loss.

METHODS

Of 400 participants initially randomized in the Breast Cancer and Exercise Trial in Alberta (BETA), 227 lost weight following the moderate- to vigorous-intensity exercise intervention (-4.2 ± 3.6 kg) and were included in this analysis. Self-reported energy intake (EI), sleep duration, quality and timing, and objective measurements of physical activity (PA) and sedentary time were collected at the end of the intervention and the end of follow-up. Linear regression models assessed associations between changes in these behaviors and risk of weight regain during follow-up.

RESULTS

Participants regained 43% of the weight lost during follow-up. Reductions in moderate to vigorous PA (β = -1.00; 95% CI = -1.74 to -0.25 h/d; P = 0.01) and steps per day (β = -0.0003; 95% CI = -0.0005 to -0.0001 steps/d; P = 0.004); increases in sedentary time (β = 0.54; 95% CI = 0.67 to 1.02 h/d; P = 0.03), EI (β = 0.001; 95% CI = 0.0003 to 0.002 kcal; P = 0.01), and fat intake (β = 0.004; 95% CI = 0.001 to 0.006 kcal; P = 0.002); and delayed sleep timing midpoint (β = 0.02; 95% CI = 0.004 to 0.03 min; P = 0.01) were associated with weight regain during follow-up.

CONCLUSIONS

These exploratory results suggest that reductions in moderate to vigorous PA; increases in EI, fat intake, and sedentary time; and delayed sleep timing midpoint were significantly associated with risk of weight regain.

Associations between the rate, amount, and composition of weight loss as predictors of spontaneous weight regain in adults achieving clinically significant weight loss: A systematic review and meta-regression

Weight regain following weight loss is common although little is known regarding the associations between amount, rate, and composition of weight loss and weight regain. Forty-three studies (52 groups; n = 2379) with longitudinal body composition measurements were identified in which weight loss (≥5%) and subsequent weight regain (≥2%) occurred. Data were synthesized for changes in weight and body composition. Meta-regression models were used to investigate associations between amount, rate, and composition of weight loss and weight regain. Individuals lost 10.9% of their body weight over 13 weeks composed of 19.6% fat-free mass, followed by a regain of 5.4% body weight over 44 weeks composed of 21.6% fat-free mass. Associations between the amount (P < 0.001) and rate (P = 0.049) of weight loss and their interaction (P = 0.042) with weight regain were observed. Fat-free mass (P = 0.017) and fat mass (P < 0.001) loss both predicted weight regain although the effect of fat-free mass was attenuated following adjustment. The amount (P < 0.001), but not the rate of weight loss (P = 0.150), was associated with fat-free mass loss. The amount and rate of weight loss were significant and interacting factors associated with weight regain. Loss of fat-free mass and fat mass explained greater variance in weight regain than weight loss alone.