Supplemental Material for Do Stress Eating or Compulsive Eating Influence Metabolic Health in a Mindfulness-Based Weight Loss Intervention?

2019 ◽  
Keyword(s):  
Weight Loss ◽  
Metabolic Health ◽  
Weight Loss Intervention ◽  
Compulsive Eating ◽  
Stress Eating

scholarly journals Do stress eating or compulsive eating influence metabolic health in a mindfulness-based weight loss intervention?

2020 ◽  
Vol 39 (2) ◽  
pp. 147-158
Author(s):  
Rachel M. Radin ◽  
Elissa S. Epel ◽  
Jennifer Daubenmier ◽  
Patricia Moran ◽  
Samantha Schleicher ◽  
...  
Keyword(s):  
Weight Loss ◽  
Metabolic Health ◽  
Weight Loss Intervention ◽  
Compulsive Eating ◽  
Stress Eating

scholarly journals Exercise plasma metabolomics and xenometabolomics in obese, sedentary, insulin-resistant women: impact of a fitness and weight loss intervention

2019 ◽  
Vol 317 (6) ◽  
pp. E999-E1014 ◽  
Author(s):  
Dmitry Grapov ◽  
Oliver Fiehn ◽  
Caitlin Campbell ◽  
Carol J. Chandler ◽  
Dustin J. Burnett ◽  
...  
Keyword(s):  
Weight Loss ◽  
Insulin Sensitivity ◽  
Muscle Metabolism ◽  
Metabolic Health ◽  
Weight Loss Intervention ◽  
Insulin Resistant ◽  
Diet And Physical Activity ◽  
Submaximal Aerobic Exercise ◽  
Plasma Metabolite ◽  
Sorbitol Pathway

Insulin resistance has wide-ranging effects on metabolism, but there are knowledge gaps regarding the tissue origins of systemic metabolite patterns and how patterns are altered by fitness and metabolic health. To address these questions, plasma metabolite patterns were determined every 5 min during exercise (30 min, ∼45% of V̇o2peak, ∼63 W) and recovery in overnight-fasted sedentary, obese, insulin-resistant women under controlled conditions of diet and physical activity. We hypothesized that improved fitness and insulin sensitivity following a ∼14-wk training and weight loss intervention would lead to fixed workload plasma metabolomics signatures reflective of metabolic health and muscle metabolism. Pattern analysis over the first 15 min of exercise, regardless of pre- versus postintervention status, highlighted anticipated increases in fatty acid tissue uptake and oxidation (e.g., reduced long-chain fatty acids), diminution of nonoxidative fates of glucose [e.g., lowered sorbitol-pathway metabolites and glycerol-3-galactoside (possible glycerolipid synthesis metabolite)], and enhanced tissue amino acid use (e.g., drops in amino acids; modest increase in urea). A novel observation was that exercise significantly increased several xenometabolites (“non-self” molecules, from microbes or foods), including benzoic acid-salicylic acid-salicylaldehyde, hexadecanol-octadecanol-dodecanol, and chlorogenic acid. In addition, many nonannotated metabolites changed with exercise. Although exercise itself strongly impacted the global metabolome, there were surprisingly few intervention-associated differences despite marked improvements in insulin sensitivity, fitness, and adiposity. These results and previously reported plasma acylcarnitine profiles support the principle that most metabolic changes during submaximal aerobic exercise are closely tethered to absolute ATP turnover rate (workload), regardless of fitness or metabolic health status.

Predicting the risk of becoming lost to follow-up in a lifestyle weight-loss intervention

2013 ◽  
Author(s):  
Danielle M. Lespinasse ◽  
Kristen E. Medina ◽  
Stacey N. Maurer ◽  
Samantha A. Minski ◽  
Renee T. Degener ◽  
...  
Keyword(s):  
Weight Loss ◽  
Weight Loss Intervention ◽  
Lost To Follow Up

scholarly journals The Relationship between Body Mass Index and Mammographic Density during a Premenopausal Weight Loss Intervention Study

Cancers ◽  
2021 ◽  
Vol 13 (13) ◽  
pp. 3245
Author(s):  
Emma C. Atakpa ◽  
Adam R. Brentnall ◽  
Susan Astley ◽  
Jack Cuzick ◽  
D. Gareth Evans ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Weight Loss ◽  
Body Mass ◽  
Breast Density ◽  
Small Sample ◽  
Weight Loss Intervention ◽  
Short Term ◽  
Dense Area ◽  
Short Term Change ◽  
Term Change

We evaluated the association between short-term change in body mass index (BMI) and breast density during a 1 year weight-loss intervention (Manchester, UK). We included 65 premenopausal women (35–45 years, ≥7 kg adult weight gain, family history of breast cancer). BMI and breast density (semi-automated area-based, automated volume-based) were measured at baseline, 1 year, and 2 years after study entry (1 year post intervention). Cross-sectional (between-women) and short-term change (within-women) associations between BMI and breast density were measured using repeated-measures correlation coefficients and multivariable linear mixed models. BMI was positively correlated with dense volume between-women (r = 0.41, 95%CI: 0.17, 0.61), but less so within-women (r = 0.08, 95%CI: −0.16, 0.28). There was little association with dense area (between-women r = −0.12, 95%CI: −0.38, 0.16; within-women r = 0.01, 95%CI: −0.24, 0.25). BMI and breast fat were positively correlated (volume: between r = 0.77, 95%CI: 0.69, 0.84, within r = 0.58, 95%CI: 0.36, 0.75; area: between r = 0.74, 95%CI: 0.63, 0.82, within r = 0.45, 95%CI: 0.23, 0.63). Multivariable models reported similar associations. Exploratory analysis suggested associations between BMI gain from 20 years and density measures (standard deviation change per +5 kg/m2 BMI: dense area: +0.61 (95%CI: 0.12, 1.09); fat volume: −0.31 (95%CI: −0.62, 0.00)). Short-term BMI change is likely to be positively associated with breast fat, but we found little association with dense tissue, although power was limited by small sample size.

Investigating IGF-II and IGF2R serum markers as predictors of body weight loss following an 8-week acute weight loss intervention: PREVIEW sub-study

2021 ◽  
Vol 15 (1) ◽  
pp. 42-48
Author(s):  
Kate L. Lee ◽  
Marta P. Silvestre ◽  
Nour H. AlSaud ◽  
Mikael Fogelholm ◽  
Anne Raben ◽  
...  
Keyword(s):  
Weight Loss ◽  
Body Weight ◽  
Body Weight Loss ◽  
Serum Markers ◽  
Weight Loss Intervention

scholarly journals The Effects of Time-Restricted Eating versus Standard Dietary Advice on Weight, Metabolic Health and the Consumption of Processed Food: A Pragmatic Randomised Controlled Trial in Community-Based Adults

Nutrients ◽  
2021 ◽  
Vol 13 (3) ◽  
pp. 1042
Author(s):  
Nicholas Phillips ◽  
Julie Mareschal ◽  
Nathalie Schwab ◽  
Emily Manoogian ◽  
Sylvie Borloz ◽  
...  
Keyword(s):  
Weight Loss ◽  
Randomised Controlled Trial ◽  
Controlled Trial ◽  
Smartphone Application ◽  
Metabolic Health ◽  
Dietary Advice ◽  
Processed Food ◽  
Significant Difference ◽  
Randomised Controlled ◽  
Pragmatic Randomised Controlled Trial

Weight loss is key to controlling the increasing prevalence of metabolic syndrome (MS) and its components, i.e., central obesity, hypertension, prediabetes and dyslipidaemia. The goals of our study were two-fold. First, we characterised the relationships between eating duration, unprocessed and processed food consumption and metabolic health. During 4 weeks of observation, 213 adults used a smartphone application to record food and drink consumption, which was annotated for food processing levels following the NOVA classification. Low consumption of unprocessed food and low physical activity showed significant associations with multiple MS components. Second, in a pragmatic randomised controlled trial, we compared the metabolic benefits of 12 h time-restricted eating (TRE) to standard dietary advice (SDA) in 54 adults with an eating duration > 14 h and at least one MS component. After 6 months, those randomised to TRE lost 1.6% of initial body weight (SD 2.9, p = 0.01), compared to the absence of weight loss with SDA (−1.1%, SD 3.5, p = 0.19). There was no significant difference in weight loss between TRE and SDA (between-group difference −0.88%, 95% confidence interval −3.1 to 1.3, p = 0.43). Our results show the potential of smartphone records to predict metabolic health and highlight that further research is needed to improve individual responses to TRE such as a shorter eating window or its actual clock time.

Behavioural mediators of reduced energy intake in a physical activity, diet, and sleep behaviour weight loss intervention in adults

Appetite ◽  
2021 ◽  
pp. 105273
Author(s):  
Sasha Fenton ◽  
Tracy L. Burrows ◽  
Clare E. Collins ◽  
Elizabeth G. Holliday ◽  
Gregory S. Kolt ◽  
...  
Keyword(s):  
Physical Activity ◽  
Weight Loss ◽  
Energy Intake ◽  
Weight Loss Intervention ◽  
Sleep Behaviour

scholarly journals Efficacy of a Multi-Component m-Health Diet, Physical Activity, and Sleep Intervention on Dietary Intake in Adults with Overweight and Obesity: A Randomised Controlled Trial

Nutrients ◽  
2021 ◽  
Vol 13 (7) ◽  
pp. 2468
Author(s):  
Sasha Fenton ◽  
Tracy L. Burrows ◽  
Clare E. Collins ◽  
Anna T. Rayward ◽  
Beatrice Murawski ◽  
...  
Keyword(s):  
Physical Activity ◽  
Weight Loss ◽  
Randomised Controlled Trial ◽  
Dietary Intake ◽  
Controlled Trial ◽  
Intervention Group ◽  
Weight Loss Intervention ◽  
Traditional Group ◽  
Traditional Diet ◽  
Randomised Controlled

This three-arm randomised controlled trial evaluated whether (1) a multi-component weight loss intervention targeting diet, physical activity (PA), and sleep was effective at improving dietary intake over six months and 12 months, compared with a control, and (2) the enhanced diet, PA, and sleep intervention was more effective at improving dietary intake than the traditional diet and PA intervention. A total of 116 adults (70% female, 44.5 years, BMI 31.7 kg/m2) were randomised to either traditional diet and PA intervention; enhanced diet, PA, and sleep intervention; or wait-list control. To examine between-group differences, intervention groups were pooled and compared with the control. Then, the two intervention groups were compared. At six months, the pooled intervention group consumed 1011 fewer kilojoules/day (95% CI −1922, −101), less sodium (−313.2 mg/day; 95% CI −591.3, −35.0), and higher %EI from fruit (+2.1%EI; 95% CI 0.1, 4.1) than the controls. There were no differences in intake between the enhanced and traditional groups at six months. At 12 months, the pooled intervention and control groups reported no significant differences. However, compared to the traditional group, the enhanced reported higher %EI from nutrient-dense foods (+7.4%EI; 95% CI 1.3, 13.5) and protein (+2.4%EI; 95% CI 0.1, 4.6), and reduced %EI from fried/takeaway foods (−3.6%EI; 95% CI −6.5, −0.7), baked sweet products (−2.0%EI; 95% CI −3.6, −0.4), and packaged snacks (−1.1%EI; 95% CI −2.2, −0.3). This weight loss intervention reduced total energy and sodium intakes as well as increased fruit intake in adults at six months. The enhanced intervention group reported improved dietary intake relative to the traditional group at 12 months.

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