scholarly journals Prospective Evaluation of Internalized Weight Bias and Weight Change Among Successful Weight-Loss Maintainers

Obesity ◽  
2018 ◽  
Vol 26 (12) ◽  
pp. 1888-1892 ◽  
Author(s):  
KayLoni L. Olson ◽  
Jason Lillis ◽  
J. Graham Thomas ◽  
Rena R. Wing
Keyword(s):  
Weight Loss ◽  
Weight Change ◽  
Weight Bias ◽  
Prospective Evaluation ◽  
Successful Weight Loss ◽  
Internalized Weight Bias

A273 Internalized Weight Bias and Experienced Weight Stigma in a Medical Weight Loss Patient Sample

2019 ◽  
Vol 15 (10) ◽  
pp. S105-S106
Author(s):  
Allison Verhaak ◽  
Devika Umashanker ◽  
Jennifer Ferrand ◽  
Rebecca Puhl ◽  
Darren Tishler ◽  
...  
Keyword(s):  
Weight Loss ◽  
Weight Bias ◽  
Weight Stigma ◽  
Patient Sample ◽  
Medical Weight Loss ◽  
Internalized Weight Bias

scholarly journals DNA methylation signature in blood mirrors successful weight-loss during lifestyle interventions: the CENTRAL trial

2020 ◽  
Vol 12 (1) ◽  
Author(s):  
Maria Keller ◽  
Anat Yaskolka Meir ◽  
Stephan H. Bernhart ◽  
Yftach Gepner ◽  
Ilan Shelef ◽  
...  
Keyword(s):  
Physical Activity ◽  
Dna Methylation ◽  
Weight Loss ◽  
Body Weight ◽  
Lifestyle Intervention ◽  
Weight Change ◽  
Relative Weight ◽  
Body Weight Loss ◽  
Obesity Treatment ◽  
Successful Weight Loss

Abstract Background One of the major challenges in obesity treatment is to explain the high variability in the individual’s response to specific dietary and physical activity interventions. With this study, we tested the hypothesis that specific DNA methylation changes reflect individual responsiveness to lifestyle intervention and may serve as epigenetic predictors for a successful weight-loss. Methods We conducted an explorative genome-wide DNA methylation analysis in blood samples from 120 subjects (90% men, mean ± SD age = 49 ± 9 years, body mass-index (BMI) = 30.2 ± 3.3 kg/m2) from the 18-month CENTRAL randomized controlled trial who underwent either Mediterranean/low-carbohydrate or low-fat diet with or without physical activity. Results Analyses comparing male subjects with the most prominent body weight-loss (responders, mean weight change − 16%) vs. non-responders (+ 2.4%) (N = 10 each) revealed significant variation in DNA methylation of several genes including LRRC27, CRISP2, and SLFN12 (all adj. P < 1 × 10−5). Gene ontology analysis indicated that biological processes such as cell adhesion and molecular functions such as calcium ion binding could have an important role in determining the success of interventional therapies in obesity. Epigenome-wide association for relative weight-loss (%) identified 15 CpGs being negatively correlated with weight change after intervention (all combined P < 1 × 10− 4) including new and also known obesity candidates such as NUDT3 and NCOR2. A baseline DNA methylation score better predicted successful weight-loss [area under the curve (AUC) receiver operating characteristic (ROC) = 0.95–1.0] than predictors such as age and BMI (AUC ROC = 0.56). Conclusions Body weight-loss following 18-month lifestyle intervention is associated with specific methylation signatures. Moreover, methylation differences in the identified genes could serve as prognostic biomarkers to predict a successful weight-loss therapy and thus contribute to advances in patient-tailored obesity treatment.

Internalized Weight Bias in Weight-Loss Surgery Patients: Psychosocial Correlates and Weight Loss Outcomes

2014 ◽  
Vol 24 (12) ◽  
pp. 2195-2199 ◽  
Author(s):  
Michelle R. Lent ◽  
Melissa A. Napolitano ◽  
G. Craig Wood ◽  
George Argyropoulos ◽  
Glenn S. Gerhard ◽  
...  
Keyword(s):  
Weight Loss ◽  
Weight Loss Surgery ◽  
Weight Bias ◽  
Psychosocial Correlates ◽  
Weight Loss Outcomes ◽  
Internalized Weight Bias

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

2018 ◽  
Vol 53 (8) ◽  
pp. 782-787 ◽  
Author(s):  
Rebecca L Pearl ◽  
Thomas A Wadden ◽  
Ariana M Chao ◽  
Olivia Walsh ◽  
Naji Alamuddin ◽  
...  
Keyword(s):  
Weight Loss ◽  
Weight Change ◽  
Controlled Trial ◽  
Weight Loss Maintenance ◽  
Weight Bias ◽  
Change Over Time ◽  
Weight Bias Internalization ◽  
The Relationship ◽  
Over Time

Abstract 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.

2007-P: Weight Change and Intentionality of Weight Loss Relate to Mortality Risk in the Postintervention (Years 8-16) Phase of Look AHEAD

Diabetes ◽  
2020 ◽  
Vol 69 (Supplement 1) ◽  
pp. 2007-P
Author(s):  
RENA R. WING ◽  
JEANNE CLARK ◽  
MARK ESPELAND ◽  
JAMES O. HILL ◽  
ROBERT W. JEFFERY ◽  
...  
Keyword(s):  
Weight Loss ◽  
Mortality Risk ◽  
Weight Change ◽  
Look Ahead

scholarly journals Depression-related weight change and incident diabetes in a community sample

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Eva Graham ◽  
Tristan Watson ◽  
Sonya S. Deschênes ◽  
Kristian B. Filion ◽  
Mélanie Henderson ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Weight Loss ◽  
Weight Gain ◽  
Weight Change ◽  
Short Form ◽  
Community Sample ◽  
Overweight And Obesity ◽  
Community Dwelling ◽  
Increased Risk

AbstractThis cohort study aimed to compare the incidence of type 2 diabetes in adults with depression-related weight gain, depression-related weight loss, depression with no weight change, and no depression. The study sample included 59,315 community-dwelling adults in Ontario, Canada. Depression-related weight change in the past 12 months was measured using the Composite International Diagnostic Interview—Short Form. Participants were followed for up to 20 years using administrative health data. Cox proportional hazards models compared the incidence of type 2 diabetes in adults with depression-related weight change and in adults with no depression. Adults with depression-related weight gain had an increased risk of type 2 diabetes compared to adults no depression (HR 1.70, 95% CI 1.32–2.20), adults with depression-related weight loss (HR 1.62, 95% CI 1.09–2.42), and adults with depression with no weight change (HR 1.39, 95% CI 1.03–1.86). Adults with depression with no weight change also had an increased risk of type 2 diabetes compared to those with no depression (HR 1.23, 95% CI 1.04–1.45). Associations were stronger among women and persisted after adjusting for attained overweight and obesity. Identifying symptoms of weight change in depression may aid in identifying adults at higher risk of type 2 diabetes and in developing tailored prevention strategies.

scholarly journals Patterns of Weight Change in Aging and Dying

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 491-491
Author(s):  
Stephen Thielke
Keyword(s):  
Older Adults ◽  
Weight Loss ◽  
Risk Factor ◽  
Weight Change ◽  
Population Level ◽  
Chronological Age ◽  
Average Weight ◽  
Remaining Life ◽  
Entire Cohort ◽  
History Of

Abstract Little research has characterized the natural history of weight change in older adults. Different changes may occur during aging and dying. We analyzed 18 years of weight measures from a cohort of 736,361 Veterans, all of whom had died at age 70 or older. We produced summary measures that accounted for both chronological age and number of years before death. Several clear population-level trends appeared. (1) The average weight of the sample declined across all ages at a rate of about 0.18 BMI points per year. (2) Starting about seven years before death, the amount of loss began to accelerate, reaching a decline of 0.75 BMI points in the year before death. (3) Changes in weight relative to years of remaining life were independent of chronologic age. People who died at age 70 experienced, on average, the same type and duration of terminal decline as did those who died at age 95. (4) The dying process involved a cumulative loss of about 1.3 BMI points. (5) The distribution of weights during advancing age both declined and narrowed. (6) Disproportionate deaths occurred at the lower BMI ranges (below a BMI of 24), and especially below 18, regardless of age. (7) The finding in #5 is explained by the entire cohort losing weight, with death of the thinnest members. These findings argue for examining survival time in studies of weight change. They indicate that weight loss may be a natural part of dying, rather than a risk factor for it.

scholarly journals Association of weight change with cerebrospinal fluid biomarkers and amyloid positron emission tomography in preclinical Alzheimer’s disease

2021 ◽  
Vol 13 (1) ◽  
Author(s):  
Oriol Grau-Rivera ◽  
◽  
Irene Navalpotro-Gomez ◽  
Gonzalo Sánchez-Benavides ◽  
Marc Suárez-Calvet ◽  
...  
Keyword(s):  
Positron Emission Tomography ◽  
Weight Loss ◽  
Cerebrospinal Fluid ◽  
Weight Change ◽  
Emission Tomography ◽  
Link Type ◽  
Preclinical Ad ◽  
Positron Emission ◽  
T Tau

Abstract Background Recognizing clinical manifestations heralding the development of Alzheimer’s disease (AD)-related cognitive impairment could improve the identification of individuals at higher risk of AD who may benefit from potential prevention strategies targeting preclinical population. We aim to characterize the association of body weight change with cognitive changes and AD biomarkers in cognitively unimpaired middle-aged adults. Methods This prospective cohort study included data from cognitively unimpaired adults from the ALFA study (n = 2743), a research platform focused on preclinical AD. Cognitive and anthropometric data were collected at baseline between April 2013 and November 2014. Between October 2016 and February 2020, 450 participants were visited in the context of the nested ALFA+ study and underwent cerebrospinal fluid (CSF) extraction and acquisition of positron emission tomography images with [18F]flutemetamol (FTM-PET). From these, 408 (90.1%) were included in the present study. We used data from two visits (average interval 4.1 years) to compute rates of change in weight and cognitive performance. We tested associations between these variables and between weight change and categorical and continuous measures of CSF and neuroimaging AD biomarkers obtained at follow-up. We classified participants with CSF data according to the AT (amyloid, tau) system and assessed between-group differences in weight change. Results Weight loss predicted a higher likelihood of positive FTM-PET visual read (OR 1.27, 95% CI 1.00–1.61, p = 0.049), abnormal CSF p-tau levels (OR 1.50, 95% CI 1.19–1.89, p = 0.001), and an A+T+ profile (OR 1.64, 95% CI 1.25–2.20, p = 0.001) and was greater among participants with an A+T+ profile (p < 0.01) at follow-up. Weight change was positively associated with CSF Aβ42/40 ratio (β = 0.099, p = 0.032) and negatively associated with CSF p-tau (β = − 0.141, p = 0.005), t-tau (β = − 0.147 p = 0.004) and neurogranin levels (β = − 0.158, p = 0.002). In stratified analyses, weight loss was significantly associated with higher t-tau, p-tau, neurofilament light, and neurogranin, as well as faster cognitive decline in A+ participants only. Conclusions Weight loss predicts AD CSF and PET biomarker results and may occur downstream to amyloid-β accumulation in preclinical AD, paralleling cognitive decline. Accordingly, it should be considered as an indicator of increased risk of AD-related cognitive impairment. Trial registration NCT01835717, NCT02485730, NCT02685969.

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