scholarly journals Obesity, intentional weight loss and physical disability in older adults

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


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.


2012 ◽  
Vol 68 (1) ◽  
pp. 80-86 ◽  
Author(s):  
K. M. Beavers ◽  
M. E. Miller ◽  
W. J. Rejeski ◽  
B. J. Nicklas ◽  
S. B. Kritchevsky

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