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Weight loss may benefit older adults with obesity. However, it is unknown whether individuals with different frailty phenotypes have different outcomes following weight loss. Community-dwelling adults aged ≥65 ( n  = 53) with a body mass index ≥30 kg/m 2 were recruited for a six-month, single-arm, technology-based weight loss study. A 45-item frailty index identified frailty status using subjective and objective measures from a baseline geriatric assessment. At baseline, n  = 22 participants were classified as pre-frail (41.5%) and n  = 31 were frail (58.5%), with no differences in demographic characteristics. While weight decreased significantly in both groups (pre-frail: 90.8 ± 2.7 kg to 85.5 ± 2.4 kg ( p  < 0.001); frail: 102.7 ± 3.4 kg to 98.5 ± 3.3 kg ( p  < 0.001), no differences were observed between groups for changes in weight ( p  = 0.30), appendicular lean mass/height 2 ( p  = 0.47), or fat-free mass ( p  = 0.06). Older adults with obesity can safely lose weight irrespective of frailty status using a technology-based approach. Further investigation is needed to determine whether the impact of specific lifestyle interventions differ by frailty status.

Background: Self-reported weight change may lead to adverse outcomes. We evaluated weight change with cutpoints of low lean mass (LLM) in older adults., Methods: Of 4984 subjects ≥60 years from NHANES 1999-2004, we applied LLM cutoffs of appendicular lean mass (ALM):body mass index (BMI) males<0.789, females<0.512. Self-reported weight was assessed at time of survey, and questions asked participants their weight one and 10 years earlier, and at age 25. Weight changes were categorized as greater/less/none than 5%. Logistic regression assessed weight change (gain, loss, no change) on LLM, after adjustment., Results: Of 4984 participants (56.5% female), mean age and BMI were 71.1 years and 28.2 kg/m 2 . Mean ALM was 19.7 kg. In those with LLM, 13.5% and 16.3% gained/lost weight in the past year, while 48.9% and 19.4% gained/lost weight in the past decade. Compared to weight at age 25, 85.2 and 6.1% of LLM participants gained and lost ≥5% of their weight, respectively. Weight gain over the past year was associated with a higher risk of LLM (OR 1.35 [0.99,1.87]) compared to weight loss ≥5% over the past year (0.89 [0.70,1.12]). Weight gain (≥5%) over 10-years was associated with a higher risk of LLM (OR 2.03 [1.66, 2.49]) while weight loss (≥5%) was associated with a lower risk (OR 0.98 [0.76,1.28]). Results were robust compared to weight at 25 years (gain OR 2.37 [1.76,3.20]; loss OR 0.95 [0.65,1.39])., Conclusion: Self-reported weight gain suggests an increased risk of LLM. Future studies need to verify the relationship with physical function., Competing Interests: Conflicts of interest There are no conflicts of interest pertaining to this manuscript., (Copyright © 2019 Elsevier Ltd and European Society for Clinical Nutrition and Metabolism. All rights reserved.)

Purpose: To ascertain whether rural status impacts self-reported health and whether the effect of rural status on self-reported health differs by obesity status., Methods: We identified 22,307 subjects aged ≥60 from the Medical Expenditure Panel Survey 2004-2013. Body mass index (BMI) was categorized as underweight, normal, overweight, or obese. Physical and mental component scores of the Short Form-12 assessed self-reported health status. Rural/urban status was defined using metropolitan statistical area. Weighted regression models ascertained the relative contribution of predictors (including rural and BMI) on each subscale., Findings: Mean age was 70.7 years. Rural settings had higher proportions classified as obese (30.7 vs 27.6%; P < .001), and rural residents had lower physical health status (41.7 ± 0.3) than urban (43.4 ± 0.1; P < .001). Obese or underweight persons had lower physical health status (39.5 ± 0.20 and 37.0 ± 0.82, respectively) than normal (44.7 ± 0.18) or overweight (44.6 ± 0.16) persons (P < .001). BMI category stratification was associated with differences in physical health between rural/urban by BMI. Individuals classified as underweight or obese had lower physical health compared to normal, while the differences were less pronounced for mental health. No differences in mental health existed between rural/urban status. A BMI * rural interaction was significant for physical but not mental health., Conclusions: Rural residents report lower self-reported physical health status compared to urban residents, particularly older adults who are obese or underweight. No interaction was observed between BMI and rural status., (© 2017 National Rural Health Association.)

Objective: To study the relationship between body mass index (BMI) and central obesity and mortality in elderly patients with coronary artery disease (CAD)., Patients and Methods: We identified 7057 patients 65 years or older from 5 cohort studies assessing mortality risk using either waist circumference (WC) or waist-hip ratio (WHR) in patients with CAD from January 1, 1980, to December 31, 2008. Normal weight, overweight, and obesity were defined using standard BMI cutoffs. High WHR was defined as 0.85 or more for women and 0.90 or more for men. High WC was defined as 88 cm or more for women and 102 cm or more for men. Separate models examined WC or WHR in combination with BMI (6 categories each) as the primary predictor (referent = normal BMI and normal WC or WHR). Cox proportional hazards models investigated the relationship between these obesity categories and mortality., Results: Patients' mean age was 73.0±6.0 years (3741 [53%] women). The median censor time was 7.1 years. A normal BMI with central obesity (high WHR or high WC) demonstrated highest mortality risk (hazard ratio [HR], 1.29; 95% CI, 1.14-1.46; HR, 1.29; 95% CI, 1.12-1.50, respectively). High WHR was also predictive of mortality in the overall (HR, 2.14; 95% CI, 1.93-2.38) as well as in the sex-specific cohort. In the overall cohort, high WC was not predictive of mortality (HR, 1.04; 95% CI, 0.97-1.12); however, it predicted higher risk in men (HR, 1.12; 95% CI, 1.01-1.24)., Conclusion: In older adults with CAD, normal-weight central obesity defined using either WHR or WC is associated with high mortality risk, highlighting a need to combine measures in adiposity-related risk assessment., (Copyright © 2016. Published by Elsevier Inc.)

As the number of older adults increases rapidly, the national epidemic of obesity is also affecting our aging population. This is particularly concerning given the numerous health risks and increased costs associated with this condition. Weight management is extremely important for older adults given the risks associated with abdominal adiposity, which is a typical fat redistribution during aging, and the prevalence of comorbid conditions in this age group. However, approaches to weight loss must be considered critically given the dangers of sarcopenia (a condition that occurs when muscle mass and quality are lost), the increased risk of hip fracture with weight loss, and the association between reduced mortality and increased BMI in older adults. This overview highlights the challenges and implications of measuring adiposity in older adults and the dangers and benefits of weight loss in this population and provides an overview of the new Medicare Obesity Benefit. In addition, we provide a summary of outcomes from successful weight loss interventions for older adults and discuss implications for advancing clinical practice.

We identified all total knee arthroplasty patients between 1996 and 2004 and classified them by preoperative body mass index (BMI) as normal (BMI, 18.5-24.9 kg/m(2)), overweight (BMI, 25.0-29.9 kg/m(2)), obese (30-34.9 kg/m(2)), or morbidly obese (≥ 35.0 kg/m(2)). Of 5521 patients, 769 had a normal BMI, 1938 were overweight, 1539 were obese, and 1275 were morbidly obese. Adjusted length of stay was no different between normal (4.85 days), overweight (4.84 days), obese (4.86 days), or morbidly obese patients (4.93 days) (P = .30). Overall costs were similar among normal ($15,386), overweight ($15,430), obese ($15,646), or morbidly obese patients ($15,752) (P = .24). Postsurgical costs were no different among normal ($9860), overweight ($9889), obese ($10,063), or morbidly obese patients ($10,136) (P = .44). Our results suggest that increased BMI does not lead to increased hospital resource use for total knee arthroplasty., (Copyright © 2010 Elsevier Inc. All rights reserved.)

Background: Obese patients are thought to be at higher risk of postoperative medical complications. We determined whether body mass index (BMI) is associated with postoperative in-hospital noncardiac complications following urgent hip fracture repair., Methods: We conducted a population-based study of Olmsted County, Minnesota, residents operated on for hip fracture in 1988 to 2002. BMI was categorized as underweight (<18.5 kg/m2), normal (18.5-24.9 kg/m2), overweight (25.0-29.9 kg/m2), and obese (> or = 30 kg/m2). Postoperative inpatient noncardiac medical complications were assessed. Complication rates were estimated for each BMI category and overall rates were assessed using logistic regression modeling., Results: There were 184 (15.6%) underweight, 640 (54.2%) normal, 251 (21.3%) overweight, and 105 (8.9%) obese hip fracture repairs (mean age, 84.2 +/- 7.5 years; 80% female). After adjustment, the risk of developing an inpatient noncardiac complication for each BMI category, compared to normal BMI, was: underweight (odds ratio [OR], 1.33; 95% confidence interval [CI], 0.95-1.88; P = 0.10), overweight (OR, 1.01; 95% CI, 0.74-1.38; P = 0.95), and obese (OR, 1.28; 95% CI, 0.82-1.98; P = 0.27). Multivariate analysis demonstrated that an ASA status of III-V vs. I-II (OR, 1.84; 95% CI, 1.25-2.71; P = 0.002), a history of chronic obstructive pulmonary disease (COPD) or asthma (OR, 1.58; 95% CI, 1.18-2.12; P = 0.002), male sex (OR, 1.49; 95% CI, 1.10-2.02; P = 0.01), and older age (OR, 1.05; 95% CI, 1.03-1.06; P < 0.001) contributed to an increased risk of developing a postoperative noncardiac inpatient complication. Underweight patients had higher in-hospital mortality rates than normal BMI patients (9.3 vs. 4.4%; P = 0.01)., Conclusions: BMI has no significant influence on postoperative noncardiac medical complications in hip-fracture patients. These results attenuate concerns that obese or frail, underweight hip-fracture patients may be at higher risk postoperatively for inpatient complications., (Copyright 2009 Society of Hospital Medicine)

Objective: To determine the impact of BMI on post-operative outcomes and resource utilization following elective total hip arthroplasty (THA)., Design: A retrospective cohort analysis on all primary elective THA patients between 1996 and 2004. Primary outcomes investigated using regression analyses included length of stay (LOS) and costs (US dollars)., Setting: Mayo Clinic Rochester, a tertiary care centre., Subjects: Patients were stratified by pre-operative BMI as normal (18.5-24.9 kg/m(2)), overweight (25.0-29.9 kg/m(2)), obese (30.0-34.9 kg/m(2)) and morbidly obese (> or =35.0 kg/m(2)). Of 5642 patients, 1362 (24.1 %) patients had a normal BMI, 2146 (38.0 %) were overweight, 1342 (23.8 %) were obese and 792 (14.0 %) were morbidly obese., Results: Adjusted LOS was similar among normal (4.99 d), overweight (5.00 d), obese (5.02 d) and morbidly obese (5.17 d) patients (P = 0.20). Adjusted overall episode costs were no different (P = 0.23) between the groups of normal ($17,211), overweight ($17,462), obese ($17,195) and morbidly obese ($17,655) patients. Overall operative and anaesthesia costs were higher in the morbidly obese group ($5688) than in normal ($5553), overweight ($5549) and obese ($5593) patients (P = 0.03). Operating room costs were higher in morbidly obese patients ($3418) than in normal ($3276), overweight ($3291) and obese ($3340) patients (P < 0.001). Post-operative costs were no different (P = 0.30). Blood bank costs differed (P = 0.002) and were lower in the morbidly obese group ($180) compared with the other patient groups (P < 0.05). Other differences in costs were not significant. Morbidly obese patients were more likely to be transferred to a nursing home (24.1 %) than normal (18.4 %), overweight (17.9 %) or obese (16.0 %) patients (P = 0.001 each). There were no differences in the composite endpoint of 30 d mortality, re-admissions, re-operations or intensive care unit utilization., Conclusions: BMI in patients undergoing primary elective THA did not impact LOS or overall institutional acute care costs, despite higher operative costs in morbidly obese patients. Obesity does not increase resource utilization for elective THA.

Objectives: To determine whether obesity affects cardiac complications after hip fracture repair., Design: A population-based historical study using data from the Rochester Epidemiology Project., Setting: Olmsted County, Minnesota., Participants: All urgent hip fracture repairs between 1988 and 2002., Measurements: Body mass index (BMI) was categorized as underweight (<18.5 kg/m(2)), normal-weight (18.5-24.9 kg/m(2)), overweight (25.0-29.9 kg/m(2)), and obese (>or=30 kg/m(2)). Postoperative cardiac complications were defined as myocardial infarction, angina pectoris, congestive heart failure, or new-onset arrhythmias within 1-year of surgery. Incidence rates were estimated for each outcome, and overall cardiac complications were assessed using Cox proportional hazards models adjusted for age, sex, year of surgery, use of beta-blockers, and the Revised Cardiac Risk Index., Results: Hip fracture repairs were performed in 184 (15.6%) underweight, 640 (54.2%) normal-weight, 251 (21.3%) overweight, and 105 (8.9%) obese subjects (mean age 84.2 +/- 7.5; 80% female). Baseline American Society of Anesthesiologists (ASA) status was similar in all groups (ASA I/II vs III-V, P=.14). Underweight patients had a significantly higher risk of developing myocardial infarction (odds ratio (OR) 1.44, 95% confidence interval (CI)=1.0-2.1; P=.05) and arrhythmias (OR=1.59, 95% CI=1.0-2.4; P=.04) than normal-weight patients. Multivariate analysis demonstrated that underweight patients had a higher risk of developing an adverse cardiac event of any type (OR=1.56, 95% CI=1.22-1.98; P<.001). Overweight and obese patients with hip fracture had no excess risk of any cardiac complication., Conclusion: The obesity paradox and low functional reserve in underweight patients may influence the development of postoperative cardiac events in elderly people with hip fracture.

Background: Globally, the oldest old population is expected to triple by 2050. Hospitalization and malnutrition can result in progressive functional decline in older adults. Minimizing the impact of hospitalization on functional status in older adults has the potential to maintain independence, reduce health and social care costs, and maximize years in a healthy state. This study aimed to systematically review the literature to identify nutritional interventions that target physical function, body composition, and cognition in the older population (≥ 75 years). Methods: A systematic review was conducted to evaluate the efficacy of nutritional interventions on physical function, body composition, and cognition in adults aged ≥ 75 years or mean age ≥80 years. Searches of PubMed (National Institutes of Health, National Library of Medicine), Scopus (Elsevier), EMBASE (Elsevier), Cumulative Index to Nursing and Allied Health Literature (CINAHL) with Full Text (EBSCOhost), and PsycInfo (EBSCOhost) were conducted. Screening, data extraction, and quality assessment were performed in duplicate and independently (CRD42022355984; https://www.crd.york.ac.uk/prospero/display%5frecord.php?RecordID=355984). Results: Of 8311 citations identified, 2939 duplicates were excluded. From 5372 citations, 189 articles underwent full‐text review leaving a total of 12 studies for inclusion. Interventions were food‐based, protein‐based, carbohydrate‐based, personalized, or used parenteral nutrition. Ten studies monitored anthropometric or body composition changes with three showing maintenance or improvements in lean mass, body mass index, triceps skinfold, and mid‐upper arm circumference compared with the control group. Six studies monitored physical function but only the largest study found a beneficial effect on activities of daily living. Two of three studies showed the beneficial effects of nutritional intervention on cognition. Conclusion: There are few, high‐quality, nutrition‐based interventions in older adults ≥75 years. Despite heterogeneity, our findings suggest that large, longer‐term (>2 weeks) nutritional interventions have the potential to maintain body composition, physical function, and cognition in adults aged 75 years and older during hospitalization. [ABSTRACT FROM AUTHOR]

Background There is a close relationship between weight status and cognitive impairment in older adults. This study examined the association between weight status and the trajectory of cognitive decline over time in a population-based cohort of older adults in China. Methods We used data from adults aged ≥55 years participating in the China health and nutrition survey (1997–2018). Underweight (body mass index [BMI] ≤ 18.5 kg/m2), normal weight (18.5–23 kg/m2), overweight (23–27.5 kg/m2), and obesity (BMI ≥ 27.5 kg/m2) were defined using the World Health Organization Asian cutpoints. Global cognition was estimated every 2–4 years through a face-to-face interview using a modified telephone interview for cognitive status (scores 0–27). The association between BMI and the rate of global cognitive decline, using a restricted cubic spline for age and age category, was examined with linear mixed-effects models accounting for correlation within communities and individuals. Results We included 5 992 adults (53% female participants, mean age of 62 at baseline). We found differences in the adjusted rate of global cognitive decline by weight status (p  = .01 in the cubic spline model). Models were adjusted for sex, marital status, current employment status, income, region, urbanization, education status, birth cohort, leisure activity, smoking status, and self-reported diagnosis of hypertension, diabetes, or Myocardial Infarction (MI)/stroke. In addition, significant declines by age in global cognitive function were found for all weight status categories except individuals with obesity. Conclusions In a cohort of adults in China, cognitive decline trajectory differed by weight status. A slower rate of change was observed in participants classified as having obesity. [ABSTRACT FROM AUTHOR]

Aim: The prevalence of obesity continues to rise, as does that of weakness. However, it is unclear how this impacts the risk of falling. We aimed to ascertain the risk of falls using new definitions of clinically defined weakness. Methods: We applied clinically defined weakness definitions to the National Health and Aging Trends Survey using the Sarcopenia Definitions Outcomes Consortium cutpoints. Three exposure variables were created: grip‐strength‐defined weakness and body mass index [GS/BMI]‐defined obesity; weakness and obesity, weakness and waist circumference‐derived obesity (GS/WC); and weakness defined by a ratio of GS÷BMI. Proportional hazards modeled incident falls as a function of weakness with/without obesity (hazard ratio [HR] [95% confidence intervals]). Results: Of 4906 respondents aged ≥ 65 years (54.5% female), the mean ± SD grip strength, BMI, and WC were 26.7 ± 10.6 kg, 27.4 ± 5.4 kg/m2, and 99.5 ± 16.3 cm, respectively. Using the neither weakness/obesity as the referent, weakness was associated with incident falls across all definitions (GS/BMI: HR 1.19 [1.07, 1.33]; GS/WC: HR 1.39 [1.19, 1.62]; GS ÷ BMI: HR 1.16 [1.05, 1.28]). Weakness with obesity was associated with falls using GS/WC (HR 1.28 [1.11, 1.48]). Obesity status was associated with falls in both the BMI and the WC definition (1.17 [1.02–1.35], 1.16 [1.05–1.28]). Conclusion: Our findings further evaluate the definitions of clinically defined weakness with and without obesity in older adults. As falls are an important patient outcome, establishing this relationship is critical for both clinicians and researchers. Future study should identify high‐risk individuals in order to direct specific interventions to them. Geriatr Gerontol Int 2023; 23: 213–220. [ABSTRACT FROM AUTHOR]

Introduction: Increased abdominal visceral adipose tissue (VAT) implies an adverse cardio-metabolic profile. We examined the association of abdominal VAT parameters and all-cause mortality risk. Methods: We systematically searched four databases. We performed citations/articles screening, data abstraction, and quality assessment in duplicate and independently (CRD42020205021). Results: We included 12 cohorts, the majority used computed tomography to assess abdominal VAT area. Six cohorts with a mean age ≤ 65 years, examining all-cause mortality risk per increment in VAT area (cm2) or volume (cm3), showed a 11-98% relative risk increase with higher VAT parameters. However, the association lost significance after adjusting for glycemic indices, body mass index, or other fat parameters. In 4 cohorts with a mean age >65 years, the findings on mortality were inconsistent. Conversely, in two cohorts (mean age 73-77 years), a higher VAT density, was inversely proportional to VAT area, and implied a higher mortality risk. Conclusion: A high abdominal VAT area seems to be associated with increased allcause mortality in individuals ≤ 65 years, possibly mediated by metabolic complications, and not through an independent effect. This relationship is weaker and may reverse in older individuals, most likely secondary to confounding bias and reverse causality. An individual participant data meta-analysis is needed to confirm our findings, and to define an abdominal VAT area cutoff implying increased mortality risk. [ABSTRACT FROM AUTHOR]

Introduction: Loss of skeletal muscle mass and function (sarcopenia) is common in individuals with obesity due to metabolic changes associated with a sedentary lifestyle, adipose tissue derangements, comorbidities (acute and chronic diseases) and during the ageing process. Co-existence of excess adiposity and low muscle mass/function is referred to as sarcopenic obesity (SO), a condition increasingly recognized for its clinical and functional features that negatively influence important patient-centred outcomes. Effective prevention and treatment strategies for SO are urgently needed, but efforts are hampered by the lack of a universally established SO definition and diagnostic criteria. Resulting inconsistencies in the literature also negatively affect the ability to define prevalence as well as clinical relevance of SO for negative health outcomes. Aims and Methods: The European Society for Clinical Nutrition and Metabolism (ESPEN) and the European Association for the Study of Obesity (EASO) launched an initiative to reach expert consensus on a definition and diagnostic criteria for SO. The jointly appointed international expert panel proposes that SO is defined as the co-existence of excess adiposity and low muscle mass/function. The diagnosis of SO should be considered in at-risk individuals who screen positive for a co-occurring elevated body mass index or waist circumference, and markers of low skeletal muscle mass and function (risk factors, clinical symptoms, or validated questionnaires). Diagnostic procedures should initially include assessment of skeletal muscle function, followed by assessment of body composition where presence of excess adiposity and low skeletal muscle mass or related body compartments confirm the diagnosis of SO. Individuals with SO should be further stratified into stage I in the absence of clinical complications or stage II if cases are associated with complications linked to altered body composition or skeletal muscle dysfunction. Conclusions: ESPEN and EASO, as well as the expert international panel, advocate that the proposed SO definition and diagnostic criteria be implemented into routine clinical practice. The panel also encourages prospective studies in addition to secondary analysis of existing data sets, to study the predictive value, treatment efficacy and clinical impact of this SO definition. [ABSTRACT FROM AUTHOR]

Background: Declining mortality rates and an aging population have contributed to increasing rates of multimorbidity (MM) in the United States. MM is strongly associated with a decline in physical function. Obesity is an important risk factor for the development of MM, and its prevalence continues to rise. Our study aimed to evaluate the associations between obesity, MM, and rates of functional limitations in older adults. Methods: We analyzed body mass index (BMI) and self‐reported comorbidity data from 7261 individuals aged ≥60 years from the National Health and Nutrition Examination Surveys 2005–2014. Weight status was defined based on standard BMI categories. MM was defined as 2 or more comorbidities, while functional limitations were self‐reported. Adjusted logistic regression quantified the association between standard BMI categories and MM. We also examined the difference in the prevalence of limitations between those with and without MM. Results: The overall proportion of individuals with concomitant MM and obesity was 27.0%. Compared to a normal BMI, older adults with obesity had higher odds of MM (Prevalence odds ratio 1.79, 95% CI 1.49, 2.12). Overall, 67.5% of patients with MM also reported a functional limitation, with rates of functional limitation increasing with increasing BMI. When evaluating functional limitations in those with MM by BMI class, 90% of patients classified as severely obese (BMI ≥40 kg/m2) with MM also had a concomitant functional limitation. Conclusions: Compared to normal weight status, obesity is associated with an increased burden of MM and functional limitation among older adults. Our results underscore the importance of identifying and addressing obesity, MM, and functional limitation patterns and the need for evidence‐based interventions that address all three conditions in this population. [ABSTRACT FROM AUTHOR]

It is unclear which energy expenditure prediction equation should guide weight loss interventions in older adults with obesity. We ascertained the validity of four equations commonly used in practice in a series of weight loss studies of adults aged ≥65 with a body mass index ≥30kg/m2 using indirect calorimetry data. Diagnostic accuracy was defined as <10% discrepancy between predicted and measured resting metabolic rate (RMR). Mean was 73.4 years. RMR using the ReeVue was 1,643 kCal. With 59.0% accuracy, the WHO equation demonstrated the highest accuracy while the Harris-Benedict yielded 53.5% accuracy. The Owens equation demonstrated the least variability (21.5% overprediction, 27.8% underprediction) with 50.7% accuracy. A SECA bioimpedance analyzer noted the second lowest accuracy of 49.6%. Only 43.1% of measurements were within 10% of the gold-standard indirect calorimetry value using the Mifflin equation. All equations demonstrated <60% accuracy suggesting a great need for estimating energy needs. [ABSTRACT FROM AUTHOR]

Physical activity (PA) improves function in older obese adults. However, body mass index is an unreliable adiposity indicator better reflected by waist circumference (WC). The impact of PA on physical impairment and mobility with high WC is unclear. We performed a secondary data analysis of 4,976 adults ≥ 60 years of age using the National Health and Nutrition Examination Survey (NHANES) 2005-2010. Physical limitations (PL), activities of daily living (ADL) impairments, and PA (low = < 1 day/week or high = > 1 day/week) were self-reported. WC was dichotomized (females: 88 cm; males: 102 cm). Mean age was 70.1 years and 55.1% were female. Prevalence of PL and ADL impairment in the high WC group were 57.7% and 18.8%, respectively, and high PA was present in 53.9%. Among those with high WC, high PA vs. low PA participants were at lower risk of PL (OR 0.58 [0.48-0.70]) and ADL impairment (OR 0.46 [0.32-0.65]). Those with high WC had higher odds of PL irrespective of PA (high PA: OR 1.57 [1.30-1.88]; low PA: OR 1.52 [1.29-1.79]) and ADL impairment (high PA: OR 1.27 [1.02-1.57] and low PA: OR 1.24 [0.99-1.54]). High PA in viscerally obese individuals is associated with impairments. [ABSTRACT FROM AUTHOR]

Objective: To determine where the current literature stands in regard to diet/exercise interventions on cognition in overweight or obese individuals. Data Source: A rapid review was conducted of English-language studies published in Medline from January 1965 to January 2020. Study Inclusion and Exclusion Criteria: Included studies were intervention studies lasting ≥12 weeks, with participants aged ≥65 years, with a body mass index ≥25 kg/m2 Data Extraction: Data extracted included study population, duration, intervention design, outcomes, and results. Data Synthesis: Outcomes were qualitatively measured due to paucity of RTC. Results: 1845 citations were identified, 31 full-text articles were reviewed, and 5 studies were included. Studies had usual care control groups and combined exercise/diet intervention groups with 31-3,526 participants randomized to each arm. Mean age of participants was 69.2-83.4 years. Studies reporting on cognitive changes showed marginally significant positive changes in cognition, and those that reported BMI indicated potential improvements in cognition. Conclusions: The number of interventions assessing the combined effects of both diet and exercise is low. Future studies should evaluate the impact of combined effects to ascertain whether cognitive decline may be reversed in older adults with a BMI ≥25 kg/m2. [ABSTRACT FROM AUTHOR]

Background: Older persons with obesity aged 65+ residing in rural areas have reduced access to weight management programs due to geographic isolation. The ability to integrate technology into health promotion interventions shows a potential to reach this underserved population.Methods: A 12-week pilot in 28 older rural adults with obesity (body mass index [BMI] ≥ 30 kg/m2) was conducted at a community aging center. The intervention consisted of individualized, weekly dietitian visits focusing on behavior therapy and caloric restriction with twice weekly physical therapist-led group strengthening training classes in a community-based aging center. All participants were provided a Fitbit Flex 2. An aerobic activity prescription outside the strength training classes was provided.Results: Mean age was 72.9 ± 5.3 years (82% female). Baseline BMI was 37.1 kg/m2, and waist circumference was 120.0 ± 33.0 cm. Mean weight loss (pre/post) was 4.6 ± 3.2 kg (4.9 ± 3.4%; p < .001). Of the 40 eligible participants, 33 (75%) enrolled, and the completion rate was high (84.8%). Objective measures of physical function improved at follow-up: 6-minute walk test improved: 35.7 ± 41.2 m (p < .001); gait speed improved: 0.10 ± 0.24 m/s (p = .04); and five-times sit-to-stand improved by 2.1 seconds (p < .001). Subjective measures of late-life function improved (5.2 ± 7.1 points, p = .003), as did Patient-Reported Outcome Measurement Information Systems mental and physical health scores (5.0 ± 5.7 and 4.4 ± 5.0, both p < .001). Participants wore their Fitbit 93.9% of all intervention days, and were overall satisfied with the trial (4.5/5.0, 1-5 low-high) and with Fitbit (4.0/5.0).Conclusions: A multicomponent obesity intervention incorporating a wearable device is feasible and acceptable to older adults with obesity, and potentially holds promise in enhancing health. [ABSTRACT FROM AUTHOR]

This study was a 12-week feasibility weight-loss intervention consisting of caloric restriction and aerobic/resistance exercise in older adults with obesity (body mass index ≥ 30 kg/m2) in a geographically isolated area. Primary outcomes assessed weight and physical function. Mean age was 71.0 ± 5.1 years (67% female). Individuals completed 100% of all assessments, attended 88% of the physical therapy classes and 89% of the nutrition sessions. Level of satisfaction (5-point Likert) was high (5.0, 1 – low; 5 – high). Weight decreased from 93.7 ± 9.7 to 89.4 ± 4.0 kg (p < 0.001). Mean BMI and waist circumference decreased, respectively, from 35.4 ± 3.4 to 33.6 ± 3.7 (p < 0.001), and 116.3 ± 7.5 to 108.7 ± 9.2 cm (p = 0.002). Grip strength, gait speed, and 5-times sit-to-stand time all improved from 29.2 ± 7.5 to 35.2 ± 6.7 kg (p = 0.006), 1.16 ± 0.21 to 1.35 ± 0.23 m/s (p = 0.004), and 12.5 ± 4.0 to 9.6 ± 1.7s (p = 0.02). The intervention was feasible and acceptable, and holds promise in promoting weight loss with a concomitant improvement in physical function in older adults. [ABSTRACT FROM AUTHOR]

Summary: Background: The public health crisis of obesity leads to increasing morbidity that are even more profound in certain populations such as rural adults. Live, two‐way video‐conferencing is a modality that can potentially surmount geographic barriers and staffing shortages. Methods: Patients from the Dartmouth‐Hitchcock Weight and Wellness Center were recruited into a pragmatic, single‐arm, nonrandomized study of a remotely delivered 16‐week evidence‐based healthy lifestyle programme. Patients were provided hardware and appropriate software allowing for remote participation in all sessions, outside of the clinic setting. Our primary outcomes were feasibility and acceptability of the telemedicine intervention, as well as potential effectiveness on anthropometric and functional measures. Results: Of 62 participants approached, we enrolled 37, of which 27 completed at least 75% of the 16‐week programme sessions (27% attrition). Mean age was 46.9 ± 11.6 years (88.9% female), with a mean body mass index of 41.3 ± 7.1 kg/m2 and mean waist circumference of 120.7 ± 16.8 cm. Mean patient participant satisfaction regarding the telemedicine approach was favourable (4.48 ± 0.58 on 1‐5 Likert scale—low to high) and 67.6/75 on standardized questionnaire. Mean weight loss at 16 weeks was 2.22 ± 3.18 kg representing a 2.1% change (P <.001), with a loss in waist circumference of 3.4% (P =.001). Fat mass and visceral fat were significantly lower at 16 weeks (2.9% and 12.5%; both P <.05), with marginal improvement in appendicular skeletal muscle mass (1.7%). In the 30‐second sit‐to‐stand test, a mean improvement of 2.46 stands (P =.005) was observed. Conclusion: A telemedicine‐delivered, intensive weight loss intervention is feasible, acceptable, and potentially effective in rural adults seeking weight loss. [ABSTRACT FROM AUTHOR]

Food insecurity refers to restricted or uncertain access to and ineffective utilization of nutritious and safe foods. Although food insecurity is linked to poorer physical health consequences among older adults, national estimates are not well known on food insecurity and depression. Using the 2005–2014 National Health and Nutrition Examination Survey, this study examines the associations between varying food insecurity levels and clinically relevant depressive symptoms (defined by PHQ-9 ≥ 10) among adults ≥60 years old (n = 7969). Rates of clinically relevant depressive symptoms in marginal, low, and very low food security were 12.3, 16.3, and 25.2%, respectively. Marginal, low, and very low food security were significantly associated with clinically relevant depressive symptoms: odds ratio (OR) = 1.12 (95% confidence intervals [CI] 1.07–1.18), OR = 1.07 (95% CI 1.03–1.12), and OR = 1.24 (95% CI 1.16–1.32), respectively. Given the intersection of food insecurity and depression, geriatric health professionals should work to improve health and nutrition programs for older adults at risk for or experiencing both public health concerns. [ABSTRACT FROM AUTHOR]

Abstract Patient-centeredness is an important factor in patient health and engagement but its association in patients with obesity is not thoroughly understood. Of 28,854 participants aged ≥60 from the Medical Expenditure Panel Survey 2004–2013, we evaluated four patient-centered domains: patient/provider relationship, shared-decision making, access to care, overall medical care provider rating, and prescription care. Weighted logistic (OR [95% CI]) and linear (β ± s.e.; p-value) regression models demonstrated that participants as having obesity reported a marginally higher delay in getting the necessary care than healthy BMI (OR 1.25 [1.01, 1.53]). Older adults with obesity report reduced perceived access to care. [ABSTRACT FROM AUTHOR]

Objectives: To determine the relationship between frailty and overall and cardiovascular mortality. Design: Longitudinal mortality analysis. Setting: National Health and Nutrition Examination Survey (NHANES) 1999–2004. Participants: Community‐dwelling older adults aged 60 and older (N = 4,984; mean age 71.1 ± 0.19, 56% female). Measurements: We used data from 1999–2004 cross‐sectional NHANES and mortality data from the National Death Index, updated through December 2011. An adapted version of Fried's frailty criteria was used (low body mass index, slow walking speed, weakness, exhaustion, low physical activity). Frailty was defined as persons meeting 3 or more criteria, prefrailty as meeting 1 or 2 criteria, and robust (reference) as not meeting any criteria. The primary outcome was to evaluate the association between frailty and overall and cardiovascular mortality. Cox proportional hazard models were used to evaluate the association between risk of death and frailty category adjusted for age, sex, race, smoking, education, coronary artery disease, heart failure, nonskin cancer, diabetes, and arthritis. Results: Half (50.4%) of participants were classified as robust, 40.3% as prefrail, and 9.2% as frail. Fully adjusted models demonstrated that prefrail (hazard ratio (HR) = 1.64, 95% confidence interval (CI) = 1.45–1.85) and frail (HR = 2.79, 95% CI = 2.35–3.30) participants had a greater risk of death and of cardiovascular death (prefrail: HR = 1.84, 95% CI = 1.45–2.34; frail: HR = 3.39, 95% CI = 2.45–4.70). Conclusion: Frailty and prefrailty are associated with increased risk of death. Demonstrating the association between prefrail status and mortality is the first step to identifying potential targets of intervention in future studies. [ABSTRACT FROM AUTHOR]

Sarcopenia, or loss of skeletal muscle mass and quality, has been studied as part of aging and adverse health outcomes in elderly patients but has only recently been evaluated as a separate condition in cancer patients and important indicator of adverse outcomes. Currently, its definition and method of assessment are still being debated. Sarcopenia within an increasingly obese population has led to a subgroup with sarcopenic obesity, at even higher risk of adverse outcomes. Yet, sarcopenia often goes undiagnosed in these patients, hidden beneath higher body mass index. Identifying sarcopenic and sarcopenic obese subpopulations would allow for more effective treatment plans and potential avoidance of suboptimal outcomes, as well as the chance to intervene and combat these modifiable risk factors. This review will examine available literature on the definition and methods of evaluating sarcopenia and sarcopenic obesity, summarize the effectiveness of sarcopenia and sarcopenic obesity as predictors of outcomes after gastrointestinal cancer surgery, including colorectal cancer resection, liver resection, and pancreatic resection, and outline strategies to minimize the impact of sarcopenia. It is clear that untreated sarcopenia and sarcopenic obesity can be associated with suboptimal post-operative outcomes, especially infections and disease-free or overall survival. [ABSTRACT FROM AUTHOR]

Aim Obesity is a major cardiovascular ( CV) risk factor. Bariatric surgery ( BSx) is an approved therapeutic alternative for class II-III obesity, but little evidence focuses on older adults. We assessed the effect of BSx on cardiometabolic variables and long-term CV risk in older adults. Methods We carried out a population-based, observational study from 1990-2009, of 40 consecutive elderly (age ≥60 years) residents of Olmsted County, MN, USA, with class II- III obesity treated with BSx at a University-based, academic health center. Data were obtained from the Rochester Epidemiology Project. Metabolic syndrome ( MetS) was defined using American Heart Association/National Heart, Lung, Blood Institute (AHA/NHLBI) criteria (increased triglycerides, low high-density lipoprotein, increased blood pressure, increased glucose and body mass index as a modified measure of obesity instead of waist circumference). Change in CV risk factors, MetS prevalence, and impact on predicted CV risk using the Framingham risk score was ascertained at 1 year postoperatively and assessed statistically. Results Mean age and body mass index were 64.4 ± 3.7 and 45.0 ± 6.3 kg/m2, respectively, and 28 out of 40 (70%) were women. One participant died during the 11-month study period after BSx from respiratory complications related to BSx, and one participant died at 2 years. Percentage of excess weight loss decreased by 57.5% at 1 year. Prevalence 1 year after BSx decreased for diabetes (57.5% to 22.5%; P < 0.03), hypertension 87.5% to 73.7% ( P = 0.003), dyslipidemia (80% to 42.5%; P < 0.001) and sleep apnea (62.5% to 23.7%; P < 0.001). MetS prevalence decreased from 80% to 45% ( P < 0.002). Baseline risk was 14.1%, which changed at follow up at 8.2%. Conclusions In older adults, BSx induces considerable weight loss, improves CV risk factors, decreases MetS prevalence and is an effective treatment in this population. Geriatr Gerontol Int 2016; 16: 618-624. [ABSTRACT FROM AUTHOR]

BACKGROUND AND PURPOSE: Obesity and physical inactivity are independently associated with physical and functional limitations in older adults. The current study examines the impact of physical activity on odds of physical and functional limitations in older adults with central and general obesity. METHODS: Data from 6279 community-dwelling adults aged 60 years or more from the Health and Retirement Study 2006 and 2008 waves were used to calculate prevalence and odds of physical and functional limitation among obese older adults with high waist circumference (waist circumference ≥88 cm in females and ≥102 cm in males) who were physically active versus inactive (engaging in moderate/vigorous activity less than once per week). Logistic regression models were adjusted for age, sex, race/ethnicity, education, smoking status, body mass index, and number of comorbidities. RESULTS: Physical activity was associated with lower odds of physical and functional limitations among older adults with high waist circumference (odds ratio [OR], 0.59; confidence interval [CI], 0.52-0.68, for physical limitations; OR, 0.52; CI, 0.44-0.62, for activities of daily living; and OR, 0.44; CI, 0.39-0.50, for instrumental activities of daily living). CONCLUSIONS: Physical activity is associated with significantly lower odds of physical and functional limitations in obese older adults regardless of how obesity is classified. Additional research is needed to determine whether physical activity moderates long-term physical and functional limitations. [ABSTRACT FROM AUTHOR]

Background: Obesity is associated with functional impairment, institutionalization, and increased mortality risk in elders. Dynapenia is defined as reduced muscle strength and is a known independent predictor of adverse events and disability. The synergy between dynapenia and obesity leads to worse outcomes than either independently. We identified the impact of dynapenic obesity in a cohort at risk for and with knee osteoarthritis on function.Methods: We identified adults aged ≥ 60 years from the Osteoarthritis Initiative. Obesity was defined as a body mass index ≥ 30 kg/m(2). Dynapenia was classified using the lowest sex-specific tertile of knee extensor strength. Participants were grouped according to obesity and knee strength: dynapenic obesity; dynapenia without obesity; obesity without dynapenia; and no dynapenia nor obesity. Four-year data was available. Self-reported activities of daily living (ADL) were assessed at follow-up. Outcomes of gait speed, 400 m walk distance, Late-life Disability and Function Index (LLFDI), and Short-Form (SF)-12 were analyzed using mixed effects and logistic regression models.Results: Of 2025 subjects (56.3 % female), mean age was 68.2 years and 182 (24.1 %) had dynapenic obesity. Dynapenic obesity was associated with reduced gait speed, LLFDI-limitations, and SF-12 physical score in both sexes and in the 400 m walk in men only (all p < 0.001). A time*group interaction was significant for dynapenic obese men in the 400 m walk distance only. Odds of ADL limitations in dynapenic obesity was OR 2.23 [1.42:3.50], in dynapenia 0.98 [0.66:1.46], and in obesity 1.98 [1.39:2.80] in males. In females, odds were 2.45 [1.63:3.68], 1.60 [1.15:2.22], and 1.47 [1.06:2.04] respectively.Conclusion: Dynapenic obesity may be a risk factor for functional decline suggesting the need to target subjects with low knee strength and obesity. [ABSTRACT FROM AUTHOR]

Objectives To identify the risks of the combination of normal body mass index ( BMI) and central obesity (normal weight and central obesity ( NWCO)) on physical activity and function. Design Longitudinal Osteoarthritis Initiative Study. Setting Community based. Participants Adults aged 60 and older at risk of osteoarthritis (N = 2,210; mean age 68, range 67.1-69.0) were grouped according to BMI (normal 18.5-24.9 kg/m2, overweight 25.0-29.9 kg/m2, obese ≥30.0 kg/m2). High waist circumference ( WC) was defined as greater than 88 cm for women and greater than 102 cm for men. Subjects were subcategorized according to WC (five categories). Subjects with normal BMI and a large WC were considered to have NWCO (n = 280, 12.7%). Measurements Six-year changes in the Physical Component Summary of the Medical Outcomes Study 12-item Short Form Survey ( PCS), Physical Activity Scale for the Elderly ( PASE), and Late-Life Function and Disability Index ( LL- FDI) were examined. The association between BMI and WC over 6 years was assessed (reference normal BMI, normal WC). Stratified analyses were performed according to age (60-69; ≥70). Results Physical component scores, PASE, and LL- FDI declined with time. Mean PASE scores at 6 years differed between the NWCO group and the group with normal BMI and WC (117.7 vs 141.5), but rate of change from baseline to 6 years was not significantly different ( P = .35). In adjusted models, those with NWCO had greater decline in PCS over time, particularly those aged 70 and older than those with normal BMI and WC (time interaction β = −0.37, 95% confidence interval = −0.68 to −0.06). Conclusion Normal weight and central obesity in older adults at risk of osteoarthritis may be a risk factor for declining function and physical activity, particularly in those aged 70 and older, suggesting the value of targeting those with NWCO who would otherwise be labeled as low risk. [ABSTRACT FROM AUTHOR]

Summary Background Obesity recognition in primary care is important to address the epidemic. We aimed to evaluate primary care clinician-reported documentation, management practices, beliefs and attitudes toward obesity compared to body mass index (BMI) calculation, obesity prevalence and actual documentation of obesity as an active problem in electronic health record in a rural academic center. Methods Our target population for previously validated clinician survey was 56 primary care providers working at 3 sites. We used calendar year 2012 data for assessment of baseline system performance for metrics of documentation of BMI in primary care visits, and proportion of visits in patients with obesity with obesity as a problem. Standard statistical methods assessed the data. Results Survey response rate was 91%. Average age of respondents was 48.9 years and 62.7% were females. 72.5% clinicians reported having normal BMI. The majority of clinicians reported regularly documenting obesity as an active problem, and utilized motivational interviewing and basic good nutrition and healthy exercise. Clinicians identified lack of discipline and exercise time, access to unhealthy food and psychosocial issues as major barriers. Most denied disliking weight loss discussion or patients taking up too much time. In 21,945 clinic visits and 11,208 annual preventive care visits in calendar year 2012, BMI was calculated in 93% visits but obesity documentation as an active problem only 27% of patients meeting BMI criteria for obesity. Conclusions Despite high clinician-reported documentation of obesity as an active problem, actual obesity documentation rates remained low in a rural academic medical center. [ABSTRACT FROM AUTHOR]

Abstract: Background: Obesity defined by body mass index (BMI) is associated with higher levels of functional impairment. However, BMI strata misrepresent true adiposity, particularly in those with a normal BMI but elevated body fat (BF%) (normal weight obesity [NWO]) whom are at higher metabolic and mortality risk. Whether this subset of patients is associated with worsening functional outcomes is unclear. Methods: Subjects aged ≥60years with a BMI ≥18.5kg/m2 from NHANES III (1988–1994) were included. We created sex-specific tertiles of BF%. Data on physical limitations (PL), instrumental (IADL) and basic activities of daily living (BADL) were obtained. The analysis focused on the association between NWO and these outcomes. Comparative rates among each tertile using logistic regression (referent=lowest tertile) were assessed, incrementally adding co-variates. Results: Of the 4484 subjects aged ≥60years, 1528 had a normal BMI, and the range of the mean age of tertiles was 69.9–71.2years. Lean mass was lowest in the elevated BF% group than in the middle or low tertiles (42.6 vs 44.9 vs 45.8; p <0.001). Those with NWO had higher PL risk than the referent in females only in our adjusted model (males OR 1.18 [0.63–2.21]; females OR 1.90 [1.04–3.48]) but not after incorporating lean mass (males OR 1.11[0.56–2.20]; females (1.73 [0.92–3.25]). Neither sex with high BF% had higher IADL risk than the corresponding tertiles (males OR 0.67 [0.35–1.33]; females OR 1.20 [0.74–1.93]). NWO was protective in males only (OR 0.28 [0.10–0.83]) but not in females (OR 0.64 [0.40–1.03]). Conclusions: NWO is associated with increased physical impairment in older adults in females only, highlighting the importance of recognizing the association of obesity with disability in elders. [Copyright &y& Elsevier]

Current bodymass index (BMI) strata likely misrepresent the accuracy of true adiposity in older adults. Subjects with normal BMI with elevated body fat may metabolically have higher cardiovascular and overall mortality than previously suspected. We identified 4,489 subjects aged ≥60 years (BMI = 18.5 to 25 kg/m²) with anthropometric and bioelectrical impedance measurements from the National Health and Nutrition Examination Surveys III (1988 to 1994) and mortality data linked to the National Death Index. Normal weight obesity (NWO) was classified in 2 ways: creation of tertiles with highest percentage of body fat and body fat percent cutoffs (men >25% and women >35%). We compared overall and cardiovascular mortality rates, models adjusted for age, gender, smoking, race, diabetes, and BMI. The final sample included 1,528 subjects, mean age was 70 years, median (interquartile range) follow-up was 12.9 years (range 7.5 to 15.3) with 902 deaths (46.5% cardiovascular). Prevalence of NWO was 27.9%and 21.4%inmen and 20.4%and 31.3%inwomen using tertiles and cutoffs, respectively. Subjects with NWO had higher rates of abnormal cardiovascular risk factors. Lean mass decreased, whereas leptin increased with increasing tertile. There were no gender-specific differences in overall mortality. Short-term mortality (<140 person-months) was higher in women, whereas long-term mortality (>140 person-months) was higher in men. We highlight the importance of considering body fat in gender-specific risk stratification in older adults with normal weight. In conclusion, NWO in older adults is associated with cardiometabolic dysregulation and is a risk for cardiovascular mortality independent of BMI and central fat distribution. [ABSTRACT FROM AUTHOR]

The prevalence of obesity with sarcopenia is increasing in adults aged ≥65 years. This geriatric syndrome places individuals at risk for synergistic complications that leads to long-term functional decline. We ascertained the relationship between sarcopenic obesity and incident long-term impaired global cognitive function in a representative US population. A longitudinal, secondary data set analysis using the National Health and Aging Trends Survey. Community-based older adults in the United States. Participants without baseline impaired cognitive function aged ≥65 years with grip strength and body mass index measures. Sarcopenia was defined using the Foundation for the National Institutes of Health Sarcopenia Project grip strength cut points (men <35.5 kg; women <20 kg), and obesity was defined using standard body mass index (BMI) categories. Impaired global cognition was identified as impairment in the Alzheimer's Disease-8 score or immediate/delayed recall, orientation, clock-draw test, date/person recall. Proportional hazard models ascertained the risk of impaired cognitive function over 8 years (referent = neither obesity or sarcopenia). Of the 5822 participants (55.7% women), median age category was 75 to 80, and mean grip strength and BMI were 26.4 kg and 27.5 kg/m2, respectively. Baseline prevalence of sarcopenic obesity was 12.9%, with an observed subset of 21.2% participants having impaired cognitive function at follow-up. Compared with those without sarcopenia or obesity, the risk of impaired cognitive function was no different in obesity alone [hazard ratio (HR) 0.98; 95% confidence interval (CI) 0.82–1.16]), but was significantly higher in sarcopenia (HR 1.60; 95% CI 1.42–1.80) and sarcopenic obesity (HR 1.20; 95% CI 1.03–1.40). There was no significant interaction term between sarcopenia and obesity. Both sarcopenia and sarcopenic obesity are associated with an increased long-term risk of impaired cognitive function in older adults. [ABSTRACT FROM AUTHOR]

Sarcopenic obesity portends poor outcomes, yet it is under-recognized in practice. We collected baseline clinical data including data on body composition (total and segmental muscle mass and total body fat), grip strength, and 5-times sit-to-stand. We defined sarcopenia using cut-points for appendicular lean mass (ALM) and obesity using body-fat cut-points. A total of 599 clinic patients (78.5% female; mean age was 51.3 ± 14.2 years) had bioelectrical impedance analysis (BIA) data (83.8%). Mean body mass index (BMI) and waist circumference were 43.1 ± 8.9 kg/m2 and 132.3 ± 70.7 cm, respectively. All patients had elevated body fat. There were 284 (47.4%) individuals fulfilling criteria for ALM-defined sarcopenia. Sarcopenic obese persons had a lower BMI (38.2 ± 6.4 vs 47.6 ± 8.6; P < 0.001), fat-free mass (113.0 kg ± 16.1 vs 152.1 kg ± 29.4; P < 0.001), fat mass (48.4% ± 5.9 vs 49.5% ± 6.2; P = 0.03), and visceral adipose tissue (216.8 ± 106.3 vs 242.7 ± 133.6 cm3; P = 0.009) than those without sarcopenic obesity. Grip strength was lower in those with sarcopenic obesity (25.1 ± 8.0 vs 30.5 ± 11.3 kg; P < 0.001) and sit-to-stand times were longer (12.4 ± 4.4 vs 10.8 second ± 4.6; P = 0.03). Sarcopenic obesity was highly prevalent in a rural, tertiary care weight and wellness center. [ABSTRACT FROM AUTHOR]

Background: The Metabolically Obese Normal Weight (MONW) phenotype has been described as a unique subgroup of individuals with metabolic dysregulation similar to obese individuals, but not considered obese per se. In theory, these individuals have an adiposity-independent substrate predisposing them to metabolic dysregulation. We tested whether central obesity explains the metabolic abnormalities in persons with MONW in a prospective population-based cohort in the Czech Republic. Methods: We used data from Kardiovize Brno 2030 study, a prospective community-based cohort in Central Europe. We defined obesity using World Health Organization categories for body mass index (BMI) and central obesity by waist circumference (WC≥ 94 cm in men and ≥ 80 cm in women). Metabolically obese (MO) was defined using AHA criteria by having three or more of the following: Hypertriglyceridemia (≥ 1.7 mmol/l); HDL cholesterol level <1.0 mmol/l in men or <1.3 mmol/l in women; elevated blood pressure (systolic ≥ 130 mmHg and/or diastolic ≥ 85 mmHg) or antihypertensive drug treatment or history of hypertension; elevated fasting plasma glucose ≥ 5.6 mmol/l; or drug treatment and central obesity. Results: Of the 2,056 participants (46% men; mean age= 47.2 years, SD=11.2) included in the current analysis, 975 (47.4%) had normal weight and 696 (33.8%) were overweight. Prevalence of MO in the overall sample was 20.6% (n=424), 3.7% (n=36) among those with normal BMI and 9.9% (n=204) among overweight individuals. From the 36 subjects with MONW, 33 (91.6%) had central obesity by WC, while 201/204 (98.5%) with metabolically obese overweight, had central obesity by WC. Remarkably, in a subgroup of people with no metabolic obesity factors nobody had central obesity, see Figure. Conclusions: Metabolic dysregulation in people labeled as MONW can be explained by excessive visceral adiposity and not by an inherent predisposition, independent of adiposity.These findings underscore the importance of identifying central obesity in clinical practice even if BMI is below the obese criteria. [ABSTRACT FROM AUTHOR]

Background Aging-related muscle weakness is associated with increased risk of functional limitations and disability. This study examined the association between varying degrees of hand grip strength on functional ability in community-dwelling older adults. Methods Cross-sectional analysis of 4289 men and 5860 women ≥60 from 2006 and 2008 waves of the population-based Health and Retirement Study (HRS) were stratified by sex-specific grip strength tertiles (low, mid, high). Prevalence and adjusted odds of physical limitations (PL), and ADL/IADL limitation were calculated by sex, race/ethnicity and age group (60–69, 70–79, 80+). Models were weighted, adjusted for age, sex, race/ethnicity, education, smoking status, BMI, comorbidities and participation in physical activity. Results Prevalence of PL, ADL and IADL limitations were significantly lower among adults in the highest grip category as compared to those in the lowest grip category. Adjusted odds for PL OR 0.41[0.33,0.52]; ADL OR.51 [0.39,0.67], and IADL OR 0.47 [0.38–0.59] limitations were significantly lower among adults in the highest grip compared to the lowest grip category. However, notable differences were observed in the strength of these associations by gender, race and age group. Conclusion Demographic characteristics are important factors to consider for risk stratification and the development of effective grip strength training interventions for older adults. [ABSTRACT FROM AUTHOR]

The study purpose was to determine how self-reported lifestyle physical activity levels, exercise self-efficacy and outcome expectancies, and health status differ by body mass index for persons with chronic pain. From U.S. clinics and community networks, 209 adults reporting chronic musculoskeletal pain were recruited for the cross-sectional survey. Data were analyzed using analysis of variance. Participants with self-described obesity reported the lowest physical activity, reduced exercise self-efficacy and positive outcome expectancies, and poorer health status. Promoting graded activity while addressing motivational factors from health behavior theory for people with chronic pain and obesity should be encouraged in rehabilitation programs. [ABSTRACT FROM AUTHOR]

• What is already known on this topic: Both obesity and multiple chronic conditions are public health concerns with rates rising in older adult populations leading to increased risk of adverse events. Few studies have evaluated the implications of both on physical function in persons with obesity. • What this study adds: This epidemiological study highlights the importance of co-existing obesity and multiple chronic conditions in older adults. Rates of concurrent obesity and multiple chronic conditions are high, as are the rates of functional limitations and risk of frailty, compared to those without obesity. • How this study might affect research, practice or policy: The relationship of obesity and multiple chronic conditions, with frailty and physical limitations signifies the importance of developing interventions in this subgroup. The population of older adults living with multiple chronic conditions (MCC) continues to grow. MCC is independently associated with functional limitation and obesity. The aim of our study was to evaluate the association between obesity and MCC, and secondarily, the combined presence of obesity and functional limitations with MCC. We analyzed cross-sectional survey data from the National Health and Aging Trends Survey (NHATS) 2011 baseline data, a nationally representative Medicare beneficiary cohort of adults in the United States. We evaluated the coexistent prevalence of obesity and MCC overall, and by standard body mass index (BMI) categories. We then evaluated the prevalence of functional limitations (mobility, self-care, and household activities) and Fried-defined frailty status in persons with a BMI ≥ 30 kg/m2. Logistic regression was used to measure the association between MCC and BMI, and functional limitations and MCC among those with obesity. In the 6,600 participants, the prevalence of concurrent obesity and MCC was 30.4%. Of those with obesity, the prevalence of MCC was 84.0%, and were more likely to have MCC (adjusted OR: 2.17, 95% CI 1.86, 2.54) compared to a normal BMI. Obesity and functional limitations or frailty were more likely have MCC than individuals with obesity alone. We found that individuals with obesity is strongly associated with MCC and that functional limitations and frailty status have a greater association with having MCC than individuals with obesity without MCC. Future longitudinal analyses are needed to ascertain this relationship. [ABSTRACT FROM AUTHOR]