scholarly journals Effectiveness of Weight Loss Interventions for Obese Older Adults

2013 ◽  
Vol 27 (3) ◽  
pp. 191-199 ◽  
Author(s):  
Holly C. Felix ◽  
Delia S. West

Objective. The consequences of obesity among older adults are significant, yet few obesity interventions target this group. Unfamiliarity with weight loss intervention effectiveness and concerns that weight loss negatively affects older adults may be inhibiting targeting this group. This paper reviews the evidence on intentional weight loss and effective weight loss interventions for obese older adults to help dispel concerns and guide health promotion practice. Data Source. PubMed articles. Study Inclusion and Exclusion Criteria. Randomized controlled trials examining behavioral and pharmaceutical weight loss strategies with 1-year follow-up targeting obese (body mass index ≥30) older adults (mean age ≥60 years), and studies with quasi-experimental designs examining surgical weight loss strategies targeting older adults were examined. Data Extraction. Abstracts were reviewed for study objective relevancy, with relevant articles extracted and reviewed. Data Synthesis. Data were inserted into an analysis matrix. Results. Evidence indicates behavioral strategies are effective in producing significant (all p < .05) weight loss without significant risk to obese older adults, but effectiveness evidence for surgical and pharmaceutical strategies for obese older adults is lacking, primarily because this group has not been targeted in trials or analyses did not isolate this group. Conclusion. These findings support the promotion of intentional weight loss among obese older adults and provide guidance to health promotion practitioners on effective weight loss interventions to use with this group.

2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. 128-128
Author(s):  
John Batsis

Abstract Weight loss interventions are fraught with difficulties for older adults in rural areas due to transportation difficulties, reduced availability of staff, and lack of programs. Telemedicine can overcome these barriers. A qualitative analysis of data from 44 exit-interviews from a rural-based, older adult weight loss study, informed by thematic analysis, was conducted. Participant’s age was 73 years (73% female) and BMI was 36.5kg/m2. Distance to the site was 24 miles (31 min). Key themes included: a) telemedicine can help improve one’s health, is more practical than in-person visits, is less costly, and time efficient; b) the majority (60%) were initially apprehensive about using telemedicine, a fear that resolved quickly; c) setting up telemedicine was easy and acceptable, despite a quick learning curve; d) having a team member for troubleshooting was important. Using telemedicine in older adults with obesity residing in rural areas should be considered in health promotion interventions.


2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 950-950
Author(s):  
Jamie Rincker ◽  
Jessica Wallis ◽  
Angela Fruik ◽  
Alyssa King ◽  
Kenlyn Young ◽  
...  

Abstract Recommendations for older adults to socially isolate during the COVID-19 pandemic will have lasting impacts on body weight and physical activity. Due to the pandemic, two in-person RCT weight-loss interventions in obese older adults with prediabetes, Veterans Achieving Weight Loss and Optimizing Resilience-Using Protein (VALOR-UP, n=12) and the Egg-Supplemented Pre-Diabetes Intervention Trial (EGGSPDITE, n=7), were converted to remote formats and weekly nutrition (EGGSPDITE and VALOR-UP) and exercise (VALOR-UP only) classes were delivered using synchronous videoconference technology (Webex); classes were accessed via tablet/desktop/laptop or smart phone. Steps taken to transition participants to remote formats included technology training, implementation of staff tech-support, and delivery of nutrition education, tablets, scales, and exercise bands. The time to successfully transition participants was 1 week for early adopters (n=10) and up to 4 weeks for those with significant technology barriers (n=9); their difficulties included internet access, camera and microphone access and use, and electronic submission of weight and food records. Even with these challenges, in the first 3 months of remote delivery, participant dropout rate was low (10.5%, n=2), attendance was high (87.6% nutrition class (n=19); 76.4% exercise class (VALOR-UP, n=12)), and weight loss was successful (&gt;2.5% loss (n=13); &gt;5% loss (n=8)), showing that lifestyle interventions can be successfully adapted for remote delivery. Remote interventions also have potential for use in non-pandemic times to reach underserved populations who often have high drop-out rates due to caretaker roles, transportation limitations, and work schedules. These barriers were significantly reduced using a virtual intervention platform.


2018 ◽  
Vol 74 (8) ◽  
pp. 1303-1309 ◽  
Author(s):  
Lauren N Shaver ◽  
Daniel P Beavers ◽  
Jessica Kiel ◽  
Stephen B Kritchevsky ◽  
Kristen M Beavers

Abstract Background Observational research has identified several mortality biomarkers; however, their responsiveness to change is unknown. We tested whether the Healthy Aging Index (HAI) and other mortality biomarkers were responsive to intentional weight loss (WL), which is associated with lower mortality risk in recent meta-analyses. Methods Older adults (70.3 ± 3.7 years) with obesity were randomized into a 6-month WL (n = 47) or weight stability (WS: ±5% baseline weight; n = 48) program. Baseline and 6-month HAI score (0–10) was calculated from component sum (each 0–2: systolic blood pressure, forced vital capacity [FVC], creatinine, fasting blood glucose [FBG], Montreal Cognitive Assessment), and gait speed, grip strength, Digit Symbol Substitution Test, FEV1, Interleukin-6, C-Reactive Protein, and Cystatin-C were assessed at baseline and 6 months. Results Mean baseline HAI was 3.2 ± 1.6. By 6 months, WL participants lost 8.87 (95% CI: −10.40, −7.34) kg, whereas WS participants remained weight stable. WL group reduced HAI score (WL: −0.75 [95% CI: −1.11, −0.39] vs WS: −0.22 [95% CI: −0.60, 0.15]; p = .04), and components changing the most were FBG (WL: −3.89 [95% CI: −7.78, 0.00] mg/dL vs WS: 1.45 [95% CI: −2.61, 5.50] mg/dL; p = .047) and FVC (WL: 0.11 [95% CI: −0.01, 0.23] L vs WS: −0.05 [95% CI: −0.17, 0.08] L; p = .06). Among other biomarkers, only Cystatin-C significantly changed (WL: −2.53 [95% CI: −4.38, −0.68] ng/mL vs WS: 0.07 [95% CI: −1.85, 1.98] ng/mL; p = .04). Combining treatment groups, 1 kg WL was associated with a 0.07 (95% CI: 0.03, 0.12) HAI reduction (p &lt; .01). Conclusion Intentional WL via caloric restriction reduced HAI score by 0.53 points, largely attributable to metabolic and pulmonary improvements.


2020 ◽  
Vol 4 (Supplement_2) ◽  
pp. 1612-1612
Author(s):  
Anna Bragg ◽  
Kristi Crowe-White ◽  
Amy Ellis ◽  
Julie Locher ◽  
Jamy Ard ◽  
...  

Abstract Objectives Obesity imposes risk to cardiometabolic health; however, intentional weight loss in obese older adults remains controversial. Using data from the CROSSROADS Study (clinicaltrials.gov #NCT00955903), this ancillary study investigated effects of exercise with and without intentional weight loss on changes in cardiometabolic risk assessed by four risk-scoring tools. Methods Participants (n = 134, 39% male, 23% African American, 70.2 ± 4.7 y) were randomized to exercise (n = 48), exercise + nutrient-dense weight maintenance diet (n = 44), or exercise + nutrient-dense caloric restriction of 500 kcals/day (n = 42). The following risk scores were calculated using baseline and 12-month data: Framingham risk assessment, Cardiometabolic Disease Staging (CMDS), metabolic syndrome classification by the International Diabetes Federation (IDF), and metabolic syndrome classification by the National Cholesterol Education Program's Adult Treatment Panel (ATP III). Generalized Estimating Equations were employed to determine differences between groups with ethnicity, sex, and age as covariates. Results Group-time interaction was not significant in application of IDF or ATPIII. Group-time interaction was significant for Framingham and CMDS (P = 0.005 and 0.041, respectively). Upon post-hoc analysis, significant within-group improvements in Framingham scores were observed for exercise + weight maintenance (P &lt; 0.001, r = −1.682) and exercise + weight loss (P = 0.020, r = −0.881). In analysis of between-group differences in Framingham scores, a significant decrease was observed in the exercise + weight maintenance group (P = 0.001, r = −1.723) compared to the exercise group. For CMDS, the exercise + weight loss group had significant within-group improvements (P = 0.023, r = - 0.102). For between-group differences in CMDS, the exercise + weight loss group showed significant risk score reduction (P = 0.012, r = −0.142) compared to the exercise group. Conclusions Risk assessment by Framingham and CMDS showed greater sensitivity to change in cardiometabolic risk factors. Results suggest obese older adults can lower cardiometabolic risk by engaging in exercise + weight maintenance or exercise + weight loss by moderate caloric restriction. Funding Sources R01AG033094 NIA, K07AG043588 NIA, P30DK056336 NIDDK.


2010 ◽  
Vol 11 (9) ◽  
pp. 671-685 ◽  
Author(s):  
W. J. Rejeski ◽  
A. P. Marsh ◽  
E. Chmelo ◽  
J. J. Rejeski

Obesity ◽  
2017 ◽  
Vol 25 (11) ◽  
pp. 1823-1829 ◽  
Author(s):  
Kristen M. Beavers ◽  
Walter T. Ambrosius ◽  
W. Jack Rejeski ◽  
Jonathan H. Burdette ◽  
Michael P. Walkup ◽  
...  

Obesity ◽  
2019 ◽  
Vol 27 (11) ◽  
pp. 1839-1845 ◽  
Author(s):  
Daniel E. Kammire ◽  
Michael P. Walkup ◽  
Walter T. Ambrosius ◽  
Leon Lenchik ◽  
Sue A. Shapses ◽  
...  

Nutrients ◽  
2020 ◽  
Vol 12 (10) ◽  
pp. 3188
Author(s):  
Ellen E. Quillen ◽  
Daniel P. Beavers ◽  
Anderson O’Brien Cox ◽  
Cristina M. Furdui ◽  
Jingyun Lee ◽  
...  

Inter-individual response to dietary interventions remains a major challenge to successful weight loss among older adults. This study applied metabolomics technology to identify small molecule signatures associated with a loss of fat mass and overall weight in a cohort of older adults on a nutritionally complete, high-protein diet. A total of 102 unique metabolites were measured using liquid chromatography-mass spectrometry (LC-MS) for 38 adults aged 65–80 years randomized to dietary intervention and 36 controls. Metabolite values were analyzed in both baseline plasma samples and samples collected following the six-month dietary intervention to consider both metabolites that could predict the response to diet and those that changed in response to diet or weight loss.Eight metabolites changed over the intervention at a nominally significant level: D-pantothenic acid, L-methionine, nicotinate, aniline, melatonin, deoxycarnitine, 6-deoxy-L-galactose, and 10-hydroxydecanoate. Within the intervention group, there was broad variation in the achieved weight-loss and dual-energy x-ray absorptiometry (DXA)-defined changes in total fat and visceral adipose tissue (VAT) mass. Change in the VAT mass was significantly associated with the baseline abundance of α-aminoadipate (p = 0.0007) and an additional mass spectrometry peak that may represent D-fructose, myo-inositol, mannose, α-D-glucose, allose, D-galactose, D-tagatose, or L-sorbose (p = 0.0001). This hypothesis-generating study reflects the potential of metabolomic biomarkers for the development of personalized dietary interventions.


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