Setting targets leads to greater long-term weight losses and 'unrealistic' targets increase the effect in a large community-based commercial weight management group

Development and Feasibility of an eHealth Diabetes Prevention Program Adapted for Older Adults-Results from a Randomized Control Pilot Study

Lifestyle programs that reduce health risks and support weight loss (WL) in older adults face adherence and attendance challenges due to reduced energy requirements, impaired mobility, lack of transportation, and low social support. Tailored lifestyle and weight management programs are needed to better support healthy aging for older adults. Here, we developed and piloted an age-adapted, remotely delivered modification of the Diabetes Prevention Program (DPP). The modification includes age-appropriate goals, visuals, and examples; flexible dietary composition; remote classroom and fitness-monitoring technology; and standardized online classroom materials employing pedagogical and behavior change theory. The modifications were designed to safeguard fidelity and to boost adherence, engagement, and knowledge integration, with the convenience of a fully remote WL program for diverse older adults. Six-month pilot data are presented from older adults (55-85 years, body mass index (BMI) 27-39.9 kg/m2, N = 20) randomly allocated to an online DPP intervention with weight, diet, and activity monitored remotely, or into a waitlisted control. The intervention achieved 100% attendance and adherence to self-monitoring. The intervention group mean (±SD) body weight change was -9.5% (±4.1); 90% lost ≥ 5%. By contrast, the control group gained 2.4% (±1.8). Once thought incompatible with older adults, remote interventions are feasible for older adults and can support fidelity, adherence, engagement, and clinically significant WL. Standardized materials are provided for future implementation.

Helpful to Live Healthier? Intermittent Hypoxic/Ischemic Training Benefits Vascular Homeostasis and Lipid Metabolism with Activating SIRT1 Pathways in Overweight/Obese Individuals

INTRODUCTION

The present study aimed to investigate whether and how normobaric intermittent hypoxic training (IHT) or remote ischemic preconditioning (RIPC) plus normoxic training (RNT) has a synergistic protective effect on lipid metabolism and vascular function compared with normoxic training (NT) in overweight or obese adults.

METHODS

A total of 37 overweight or obese adults (36.03 ± 10.48 years) were randomly assigned to 3 groups: NT group (exercise intervention in normoxia), IHT group (exercise intervention in normobaric hypoxic chamber), and RNT group (exercise intervention in normoxia + RIPC twice daily). All participants carried out the same 1-h exercise intervention for a total of 4 weeks, 5 days per week. Physical fitness parameters were evaluated at pre- and postexercise intervention.

RESULTS

After training, all three groups had a significantly decreased body mass index (p < 0.05). The IHT group had reduced body fat percentage, visceral fat mass (p < 0.05), blood pressure (p < 0.01), left ankle-brachial index (ABI), maximal heart rate (HRmax) (p < 0.05), expression of peroxisome proliferator-activated receptor-γ (PPARγ) (p < 0.01) and increased expression of SIRT1 (p < 0.05), VEGF (p < 0.01). The RNT group had lowered waist-to-hip ratio, visceral fat mass, blood pressure (p < 0.05), and HRmax (p < 0.01).

CONCLUSION

IHT could effectively reduce visceral fat mass and improve vascular elasticity in overweight or obese individuals than pure NT with the activation of SIRT1-related pathways. And RNT also produced similar benefits on body composition and vascular function, which were weaker than those of IHT but stronger than NT. Given the convenience and economy of RNT, both intermittent hypoxic and ischemic training have the potential to be successful health promotion strategies for the overweight/obese population.

The Association Between Goal Setting and Weight Loss: Prospective Analysis of a Community Weight Loss Program

BACKGROUND

Goal setting aids health-related behavior changes; however, the influence of different types of goals on weight loss remains unclear.

OBJECTIVE

We aimed to investigate the association of 3 aspects of goal setting with weight and program dropout over a 24-week period.

METHODS

This study was a prospective longitudinal analysis of participants in a 12-week digital behavioral weight loss program. Weight and engagement data for eligible participants (N=36,794) were extracted from the database. Eligible participants were adults in the United Kingdom who had enrolled in the program, had a BMI ≥25 kg/m², and a weight reading recorded at baseline. Three aspects of goal setting were self-reported at enrollment: weight loss motivation (appearance, health, fitness, or self-efficacy), overall goal preference (low, medium, or high), and percentage weight loss goal (<5%, 5%-10%, or >10%). Weight was measured at 4, 12, and 24 weeks. Mixed models for repeated measures were used to explore the association between goals and weight across the 24-week period. To measure sustained weight change, the primary outcome was weight at 24 weeks. We explored dropout rates over the 24-week period by goal and whether engagement mediated the association between goals and weight loss.

RESULTS

Of the 36,794 participants (mean 46.7, SD 11.1 years; 33,902/36,794, 92.14% female) included in the cohort, 13.09% (n=4818) reported weight at 24 weeks. Most participants set goals of 5%-10% weight loss (23,629/36,794, 64.22%), but setting goals for >10% was associated with greater weight loss (mean difference 5.21 kg, 95% CI 5.01-5.41; P<.001). There was no difference between goals of 5%-10% and <5% (mean difference 0.59 kg, 95% CI 0.00-1.18; P=.05). Appearance was the most prevalent motivational factor (14,736/36,794, 40.05%), but health and fitness were associated with greater weight losses (mean difference health vs appearance 1.40 kg, 95% CI 1.15-1.65; P<.001 and mean difference fitness vs appearance 0.38 kg, 95% CI 0.05-0.70; P=.03). Goal preference had no association with weight. Engagement was an independent predictor of weight loss but not a mediator of the effect of goal setting. At 24 weeks, those who set goals of >10% were less likely to drop out compared with 5%-10% goals (odds ratio [OR] 0.40, 95% CI 0.38-0.42; P<.001); those who liked to set overall high goals were more likely to drop out compared with medium goals (OR 1.20, 95% CI 1.11-1.29; P<.001); and those motivated by fitness or health were less likely to drop out compared with appearance (OR 0.92, 95% CI 0.85-0.995; P=.04 and OR 0.84, 95% CI 0.78-0.89; P<.001, respectively).

CONCLUSIONS

Setting higher weight loss goals and being motivated by health or fitness were associated with greater weight loss and lower likelihood of dropout. Randomized trials for setting these types of goals are required to confirm causality.

Thirty Obesity Myths, Misunderstandings, and/or Oversimplifications: An Obesity Medicine Association (OMA) Clinical Practice Statement (CPS) 2022

Background

This Obesity Medicine Association (OMA) Clinical Practice Statement (CPS) is intended to provide clinicians an overview of 30 common obesity myths, misunderstandings, and/or oversimplifications.

Methods

The scientific support for this CPS is based upon published citations, clinical perspectives of OMA authors, and peer review by the Obesity Medicine Association leadership.

Results

This CPS discusses 30 common obesity myths, misunderstandings, and/or oversimplifications, utilizing referenced scientific publications such as the integrative use of other published OMA CPSs to help explain the applicable physiology/pathophysiology.

Conclusions

This Obesity Medicine Association (OMA) Clinical Practice Statement (CPS) on 30 common obesity myths, misunderstandings, and/or oversimplifications is one of a series of OMA CPSs designed to assist clinicians in the care of patients with the disease of obesity. Knowledge of the underlying science may assist the obesity medicine clinician improve the care of patients with obesity.

Perspectives into the experience of successful, substantial long-term weight-loss maintenance: a systematic review

Purpose: In light of the increasing prevalence of overweight and obesity, understanding the experiences, strategies and challenges encountered when trying to achieve substantial, sustainable weight loss is an important area to investigate. We systematically evaluated qualitative studies focusing on the accounts of individuals who have achieved sustained weight loss to create a comprehensive picture of the experience of sustainable weight loss.

Methods: Included studies were peer-reviewed studies that qualitatively assessed the views and experiences of adults who previously had or currently have overweight or obesity who successfully lost weight and who subsequently maintained or regained weight. The evidence was systematically synthesized, which enabled the formulation of clear themes and recommendations.

Results: The 15 chosen studies included the accounts of 294 individuals. We found that continuous monitoring and goal setting, driven by sustained motivation and encouraging experiences, while resisting ever present challenges and enduring discouraging experience encapsulates the experience of sustained, substantial weight loss.

Conclusions: This review aims to provide a comprehensive understanding of the experiences, strategies and challenges encountered when trying to achieve substantial, sustained weight loss. Additional research taking into account findings from this review and others of its kind will enhance the formulation of treatment protocols.

Practical Approaches to Treating Obesity: Patient and Healthcare Professional Perspectives

Obesity is a chronic and treatable disease carrying risk for numerous health complications, including cardiovascular disease, respiratory disease, type 2 diabetes mellitus and certain cancers. While there is a great need to address the topic in clinical practice, healthcare professionals (HCPs) often struggle to initiate conversations about weight. In this paper, guidance on how to raise and address the subject of weight with individuals is provided from an HCP and patient perspective using the 5As framework. This model facilitates advising individuals on the benefits of weight loss and supports them to develop achievable and sustainable weight management plans. With obesity rates still rising across the globe, it is imperative that more HCPs become skilled in raising and addressing the issue.

A goal set too high: factors associated with planning excess gestational weight gain in a prospective cohort study

OBJECTIVE

This study aimed to understand physical, knowledge, psychological, and lifestyle factors associated with planned excess gestational weight gain (GWG), a strong and potentially modifiable predictor of actual excess GWG, which contributes to maternal and child obesity along with other adverse maternal and fetal outcomes.

METHODS

This is a secondary analysis of data from a prospective cohort study where women completed a questionnaire in early pregnancy. Women were asked to report their planned GWG, which was then categorized as above, within, or below the Institute of Medicine (IOM) guidelines. Univariable and multivariable analyses were performed to identify variables associated with planned excess GWG.

RESULTS

Of 970 women included in the analysis, 300 reported a planned GWG above the IOM guidelines. Predictors of excess planned GWG included reporting healthcare provider recommendations to gain weight above the guidelines (adjusted odds ratio [aOR], 62.17; 95% confidence interval [CI], 13.75-281.03), overestimating first trimester weight gain recommendations (aOR, 1.83; 95% CI, 1.21-2.77), believing in risks to the baby with inadequate GWG (aOR 2.16; 95% CI,1.29-3.60), inaccurate self-perceived prepregnancy body size (aOR, 1.88; 95% CI, 1.22-2.89), low or high emotional suppression (aOR, 1.78; 95% CI, 1.06-2.99; and aOR, 2.57; 95% CI, 1.21-5.45, respectively), physical inactivity (aOR, 1.10; 95% CI, 1.03-1.17), and overweight or obesity (aOR, 5.76; 95% CI, 3.70-8.98; and aOR, 11.46; 95% CI, 6.54-20.06, respectively). Protective factors against planned excess GWG included increased maternal age (aOR, 0.95; 95% CI, 0.92-0.99), and believing in risks to themselves with inadequate GWG (aOR 0.64; 95% CI, 0.42-0.97) or believing in risks to the baby with excess GWG (aOR, 0.49; 95% CI, 0.27-0.88).

CONCLUSIONS

Women with overweight or obesity are at greater risk of prospectively planning excess GWG, and may especially benefit from healthcare provider counseling on appropriate GWG. Other modifiable factors for planned excess GWG included knowledge about risks of inappropriate weight gain and physical inactivity.

Which behaviour change techniques within interventions to prevent weight gain and/or initiate weight loss improve adiposity outcomes in young adults? A systematic review and meta-analysis of randomized controlled trials

Young adulthood is associated with the highest rate of weight gain compared with any other adult age group. This review evaluates the effectiveness of interventions with adiposity outcomes among young adults and identifies which behaviour change techniques (BCTs) are most effective. BCT utilization was assessed using Michie's 93-item BCT Taxonomy v1. Six electronic databases were searched for randomized controlled trials assessing change in adiposity in young adults (17-35 years) until December 2019; identifying 21,582 articles. Fifty-one studies were included. Meta-analyses for weight (n=19 studies), body mass index (BMI) (n=20 studies), and waist circumference (n=10 studies) demonstrated no significant between-group differences at ≤3 or >3 months. There were no differences between interventions focusing on weight loss or weight-gain prevention. Narrative synthesis showed significant between-group differences in weight change, favouring the intervention in 14/43 (33%) studies. In studies assessing BMI and waist circumference, this was 31% (11/36) and 25% (4/16). Two BCTs had a percentage effectiveness ratio >50% in weight loss interventions; social support (unspecified) and self-monitoring behaviour, and one in weight-gain prevention interventions; and goal-setting (outcome). Findings demonstrate initial potential for these types of BCTs and can help build cumulative evidence towards delivering effective, cost-efficient, and replicable interventions.

Early Intervention in Psychosis: Effectiveness and Implementation of a Combined Exercise and Health Behavior Intervention Within Routine Care

AIM

Young people with psychosis have higher rates of obesity, premature cardiovascular disease, and death compared to non-psychotic peers in the general population due to changes in metabolic regulation linked to antipsychotic medication and adverse health risk behaviors. The aim of this paper is to outline the development, implementation, and evaluation of a combined 12-week exercise and health behavior intervention delivered as part of an Early Intervention in Psychosis (EIP) routine service, within the UK.

METHODS

Participants (n = 27) completed a 12-week combined intervention program, engaging in weekly, 90-min sessions comprising a healthy behavior education session (45 min), followed by a facilitated exercise session (45 min). Anthropometric data from participants (n = 26) were collected at baseline, 12 weeks, and 12 months post-intervention. Health behaviors and clinical measurements were assessed at baseline and 12 months.

RESULTS

Mean baseline data suggests participants were at an increased health risk on entry to the program, with elevated values in mean body mass index (BMI; 70% overweight/obese), waist circumference, resting heart rate, and triglycerides. Fifty percent reported smoking daily, 64% ate < 5 fruits/vegetables per day, and 52% of participants were prescribed highly obesogenic antipsychotic medications (i.e., Olanzapine). At 12 weeks and 12 months, no changes were observed in mean BMI, waist circumference or any other clinical variable (p > 0.05). At 12 months, participants reported a positive impact on health behaviors including improved diet, increased physical activity levels, and cessation of substance use (n = 2), alcohol use (n = 2), and smoking (n = 4). Focus groups captured participant experiences, engagement with and satisfaction with the program, including challenges/barriers to program adherence.

CONCLUSIONS

The 12-week exercise and health behaviors program supported participants to attenuate their physical health risk which was sustained at 12-month follow-up. Self-reported positive health behavior changes are likely to have contributed to the prevention of excessive weight gain in this high-risk period. The evaluation was designed to have validity for a "real world EIP setting" and reflect the complexity of delivery to this participant group. Evaluation findings influenced subsequent commissioning of the physical health intervention as an ongoing element of routine EIP care within the participant site.

Effect of JumpstartMD, a Commercial Low-Calorie Low-Carbohydrate Physician-Supervised Weight Loss Program, on 22,407 Adults

BACKGROUND

Commercial weight loss programs provide valuable consumer options for those desiring support. Several commercial programs are reported to produce ≥3-fold greater weight loss than self-directed dieting. The effectiveness of JumpstartMD, a commercial pay-as-you-go program that emphasizes a low-to-very-low-carbohydrate real-food diet and optional pharmacologic treatment without prepackaged meals or meal replacement, has not previously been described.

METHODS

Completer and last observation carried forward (LOCF) of clinic-measured weight loss (kg) in 18,769 female and 3638 male JumpstartMD participants.

RESULTS

Completers lost (mean ± SE) 8.7 ± 0.04 kg, 9.5 ± 0.04% with 44.5 ± 0.5% achieving ≥10% weight loss at 3 months (mo, N = 14,999 completers); 11.8 ± 0.1 kg, 12.6 ± 0.1% with 66.4 ± 0.6% achieving ≥10% weight loss at 6 mo (N = 11,805); and 11.5 ± 0.2 kg, 12.0 ± 0.2% with 57.6 ± 0.9% achieving ≥10% weight loss at 12 mo (N = 8514). LOCF estimates were -6.5 ± 0.03 kg, -7.2 ± 0.03% with 27.1 ± 0.3% achieving ≥10% weight loss at 3 mo; -7.7 ± 0.04 kg, -8.5 ± 0.04% with 36.3 ± 0.3% achieving ≥10% weight loss at 6 mo; and -7.7 ± 0.1 kg, -8.4 ± 0.1% with 34.6 ± 0.3% achieving ≥10% weight loss after 12 mo. Frequent health coach meetings was a major determinant of weight loss, with women and men attending ≥75% of their weekly appointments losing 8.8 ± 0.04 and 11.9 ± 0.1 kg, respectively, after 3 mo, 13.1 ± 0.1 and 16.5 ± 0.3 kg after 6 mo, and 16.5 ± 0.3 and 19.4 ± 0.8 kg after 12 mo. Phentermine and phendimetrazine had a minor effect in women only at 1 (6.1% greater weight loss than untreated), 2 (4.1%), and 3 mo (1.2%), but treated patients showed longer enrollment than nontreated during the first 3 (females: +0.4 ± 0.01; males: +0.3 ± 0.04 mo), 6 (females: +1.1 ± 0.04; males: +1.0 ± 0.1 mo), and 12 mo (females: +2.7 ± 0.1; males: +2.4 ± 0.2 mo). JumpstartMD produced generally greater weight loss than published reports for other real-food and prepackaged-meal commercial programs and somewhat greater or comparable losses to meal replacement diets.

CONCLUSION

A one-on-one medically supervised program that emphasized real low-carbohydrate foods produced effective weight loss, particularly in those attending ≥75% of their weekly appointments.

A holistic approach to healthy ageing: how can people live longer, healthier lives?

BACKGROUND

Although lifespan is increasing, there is no evidence to suggest that older people are experiencing better health in their later years than previous generations. Nutrition, at all stages of life, plays an important role in determining health and wellbeing.

METHODS

A roundtable meeting of UK experts on nutrition and ageing considered key aspects of the diet-ageing relationship and developed a consensus position on the main priorities for research and public health actions that are required to help people live healthier lives as they age.

RESULTS

The group consensus highlighted the requirement for a life course approach, recognising the multifactorial nature of the impact of ageing. Environmental and lifestyle influences at any life stage are modified by genetic factors and early development. The response to the environment at each stage of life can determine the impact of lifestyle later on. There are no key factors that act in isolation to determine patterns of ageing and it is a combination of environmental and social factors that drives healthy or unhealthy ageing. Too little is known about how contemporary dietary patterns and sedentary lifestyles will impact upon healthy ageing in future generations and this is a priority for future research.

CONCLUSIONS

There is good evidence to support change to lifestyle (i.e. diet, nutrition and physical) activity in relation to maintaining or improving body composition, cognitive health and emotional intelligence, immune function and vascular health. Lifestyle change at any stage of life may extend healthy lifespan, although the impact of early changes appears to be greatest.

Setting targets leads to greater long-term weight losses and 'unrealistic' targets increase the effect in a large community-based commercial weight management group

Background

Setting personal targets is an important behavioural component in weight management programmes. Normal practice is to encourage ‘realistic’ weight loss, although the underlying evidence base for this is limited and controversial. The present study investigates the effect of number and size of weight‐loss targets on long‐term weight loss in a large community sample of adults.

Methods

Weight change, attendance and target weight data for all new UK members, joining from January to March 2012, were extracted from a commercial slimming organisation's electronic database.

Results

Of the 35 380 members who had weight data available at 12 months after joining, 69.1% (n = 24 447) had a starting body mass index (BMI) ≥30 kg m^–2. Their mean (SD) weight loss was 12.9% (7.8%) and, for both sexes, weight loss at 12 months was greater for those who set targets (P < 0.001). Those that set ≥4 targets achieved the greatest loss (P < 0.001). The odds ratio for weight loss ≥10% at 12 months was 10.3 (95% confidence interval = 9.7–11.1, P < 0.001) where targets had been set compared to none. At the highest quintile of target size, the size of the first target explained 47.2% (P < 0.001) of the variance in weight loss achieved at 12 months. The mean (SD) BMI reduction in those with a target >25% was 7.6 (4.0) kg m^–2. A higher percentage of obese members did not set targets (P < 0.001) compared to those with a BMI <30 kg m^–2.

Conclusions

Much of the variance in weight loss achieved in this population was explained by the number of targets set and the size of the first target. Although obese people were less likely to set targets, doing so increased the likelihood of achieving clinically significant weight loss and, for some ‘unrealistic’ targets, improved the results.