Positive impact of obesity on the prognosis of liver cirrhosis.

BACKGROUND AND AIM: The study aims to determine the prognostic impact of obesity, sarcopenic obesity, and dynapenic obesity in patients with chronic liver disease. METHODS: This retrospective observational study enrolled patients with chronic hepatitis (n = 746) and liver cirrhosis (n = 434) without hepatocellular carcinoma at entry. The patients were evaluated for sarcopenia and obesity between April 2016 and April 2022. Obesity was defined as a body mass index of ≥ 25 kg/m2. Sarcopenic obesity was defined as low skeletal muscle mass (pre-sarcopenia) with obesity and dynapenic obesity was defined as low muscle strength (dynapenia) with obesity. The effects of obesity on survival were evaluated retrospectively. RESULTS: The mean observation period was 2.5 years. Obesity, sarcopenic obesity, and dynapenic obesity were found in 271 (45.5%), 17 (2.9%), and 21 (3.5%) men, and 261 (44.7%), 59 (10.1%), and 53 (9.1%) women, respectively. A multivariate Cox proportional hazards model revealed that Child-Pugh class, dynapenia (hazard ratio [HR] 3.89), elderly (≥ 65 years old) (HR 2.11), and obesity (HR 0.58) were independently associated with overall survival (OS). However, neither sarcopenic nor dynapenic obesity were associated with OS. In patients with cirrhosis, the OS of the obese group was significantly higher than that of the non-obese group. The effect of obesity on OS was significant in elderly patients, but not in younger patients. CONCLUSIONS: Sarcopenic and dynapenic obesity seem unrelated to the prognosis of patients with chronic liver disease. Obesity has a positive effect on the prognosis of elderly patients with cirrhosis.

Sleep duration affects the sequential change of body mass index and muscle strength: a contribution to dynapenic obesity.

BACKGROUND: With aging, body mass index (BMI) increases and muscle strength declines, resulting in dynapenic obesity. It remains unknown whether and how sleep duration contributes to the sequence of BMI and muscle strength change in the progression of dynapenic obesity. METHODS: Data were derived from the first two waves of China Health and Retirement Longitudinal Study. Sleep duration was self-reported. BMI was calculated and grip strength (GS) was measured to reflect muscle strength. The effect of baseline sleep duration on the sequential change of BMI and GS was assessed using two mediation models considering the nonlinear associations between them. The moderating effect of metabolic disorder was also tested. RESULTS: Totally 4986 participants aged ≥ 50 years (50.8% females) with complete information on variables were included. Baseline BMI fully mediated the nonlinear association between sleep duration and follow-up GS change, but baseline GS did not mediate between sleep duration and follow-up BMI change for older men and women. Short sleep duration positively affected BMI-induced GS change (ß = 0.038; 95%CI, 0.015-0.074), while this favorable effect became nonsignificant for moderate sleep duration (ß = 0.008; 95% CI, -0.003-0.024) and turned negative with prolonged sleep duration (ß = - 0.022; 95%CI, - 0.051 to - 0.003). This nonlinear mediation effect was more pronounced in older women who are relatively metabolically healthy at baseline. CONCLUSION: For older adults in China, the influence of sleep duration on BMI-induced GS change but not the GS-induced BMI change suggested the contribution of sleep duration to the sequential course in the progression of dynapenic obesity. Sleep duration deviated either above or below normal range may confer adverse impact on GS through BMI. Strategies addressing sleep and obesity jointly to improve muscle function and delay the progression of dynapenic obesity are required.

Associations of Dynapenic Obesity and Sarcopenic Obesity with the Risk of Complications in COVID-19.

Ageing is associated with changes in body composition, such as low muscle mass (sarcopenia), decreased grip strength or physical function (dynapenia), and accumulation of fat mass. When the accumulation of fat mass synergistically accompanies low muscle mass or reduced grip strength, it results in sarcopenic obesity and dynapenic obesity, respectively. These types of obesity contribute to the increased risk of cardiovascular disease and mortality in the elderly, which could increase the damage caused by COVID-19. In this review, we associated factors that could generate a higher risk of COVID-19 complications in dynapenic obesity and sarcopenic obesity. For example, skeletal muscle regulates the expression of inflammatory cytokines and supports metabolic stress in pulmonary disease; hence, the presence of dynapenic obesity or sarcopenic obesity could be related to a poor prognosis in COVID-19 patients.

Slow gait speed is associated with dynapenic obesity in Mexican ambulatory older adults.

An increased risk of slow gait speed (GS) has been reported among older adults with decreased muscle strength, coupled with a concomitant increase in body fat known as dynapenic obesity (DO); however, these two conditions together have rarely been studied. The objective of this study was to determine the association between GS and DO in older Mexican ambulatory adults. A cross-sectional study was conducted; body fat percentage, and muscle strength and GS using EWGSOP criteria, were measured in 126 older ambulatory Mexican adults, with a mean age of 71 years old. The association was evaluated using controlled logistic regression models. Among ambulatory older adults with slow GS, the risk of DO was 3.4 times higher than among those without, controlling for age and sex (p<0.01). In conclusion, slow GS in ambulatory older adults can be a useful indicator for the early identification of DO.

Dynapenic Abdominal Obesity and Metabolic Health in Non-Geriatric Patients with Obesity.

Background: Dynapenic abdominal obesity (DAO) is the combination of low muscle strength and high central adiposity, which can lead to functional and cardiometabolic impairments. Objective: The aim of this study was to examine the relationship between DAO and metabolic parameters in non-geriatric patients with obesity. Methods: All patients seen in the obesity outpatient clinic during a random month, along with 30 healthy individuals, were included in the study. Body mass index (BMI), waist circumference (WC), hip circumference (HC), serum fasting blood glucose, triglyceride, high-density lipoprotein, low-density lipoprotein (LDL), insulin, and glycated hemoglobin (HbA1c) levels were measured. Muscle function tests were conducted. Hypertension and diabetes mellitus diagnoses were recorded. DAO was determined using handgrip strength and WC. Metabolic syndrome was defined based on International Diabetes Federation (IDF) criteria. Data were analyzed using SPSS. Results: A total of 106 individuals participated in the study, including 76 individuals with obesity as the case group and 30 healthy individuals as the control group. In the case group, BMI, WC, HC, and chair stand test results were higher compared to the control group. There was no significant difference between the case and control groups in terms of gait speed or handgrip test results. In the case group, 30 people (39.5%) had dynapenic obesity (DO), and in the control group, 8 people (26.7%) had DO. There was no significant difference in DO rates between the case and control groups. In the case group, the HbA1c level was higher in DO (+) group than DO (-) group. In the control group, DO (+) group had higher LDL and HbA1c level than DO (-) group. No significant difference was observed in other search parameters between the DO (+) and DO (-) groups in both the case and control groups. Conclusion: DAO is common among people with obesity and contributes to a poor prognosis, increased morbidity, and mortality. Therefore, including its treatment in the management of obesity is crucial for individuals of all age ranges.

Age, sex, and APOE gene-specific associations between dynapenic obesity and dementia in a large cohort.

OBJECTIVE: To investigate the associations between dynapenic obesity and the risk of dementia, and the modifying effects of age, sex, and the APOE gene, using a large population-based cohort. METHODS: 279,884 participants aged 55 and above from the UK Biobank were included. The participants were classified into four categories based on body mass index and hand grip strength: healthy, obesity, dynapenia, and dynapenic obesity. The incident dementia was identified based on linked hospital records and death register data. Cox proportional hazards regression models were used to estimate the associations, followed by age-, sex-, and apolipoprotein E (APOE) gene-stratified analyses. RESULTS: During the median follow-up of 12.4 years, 5,170 (1.8%) participants developed dementia. Compared with the healthy group, participants with dynapenic obesity had 67% higher dementia risk (hazard ratio [HR]: 1.67, 95% confidence interval [CI]: 1.44-1.94). Compared with the healthy group, higher risks of dementia in participants with dynapenic obesity were respectively observed in male (HR: 2.03, 95% CI: 1.65-2.50), younger (<65 years, HR: 1.97, 95% CI: 1.55-2.50), and non-ε4-carrier (HR: 1.97, 95% CI: 1.60-2.44) (all P for interaction <0.05). In participants under 65 years and non-ε4-carrier, those with dynapenic obesity had the highest risk of dementia (HR: 2.63, 95% CI: 1.91-3.62), compared with the healthy group (P for second order interaction = 0.026). CONCLUSIONS: Dynapenic obesity is associated with increased risks of dementia, especially in participants under 65 years and non-ε4-carrier, suggesting the importance of managing dynapenic obesity in the prevention of cognition-related disorders.

Increased Cardiometabolic Risk in Dynapenic Obesity: Results from the Study of Workers' Health (ESAT).

Background: The coexistence of obesity and low muscle strength-denoted dynapenic obesity (DO)-has been associated with an unhealthy metabolic profile and increased risk for metabolic syndrome. However, there is a lack on studies investigating if DO exhibits higher cardiometabolic risk than non-dynapenic obesity. Objectives: To assess if individuals with DO exhibit elevated cardiometabolic risk compared to non-dynapenic obesity. Methods: a cross-sectional study that analyzed the data of workers from a quaternary care hospital collected between November 2018 and March 2020. Participants were stratified into the following anthropometrical and peripheral muscle strength profiles: non-obese/non-dynapenic (NOND), non-obese/dynapenic (NOD), obese/non-dynapenic (OND), and obese dynapenic (OD). Cardiovascular risk was evaluated by Atherogenic Index (AI), Plasma Atherogenic Index (PAI), Hypertriglyceridemic Waist (HW), A Body Shape Index (ABSI), Atherogenic Dyslipidemia (AD), Castelli Indices I and II, and Framingham Score (FS). Results: the OD group had significantly lower HDL compared to all others (p = 0.009), and despite exhibited lower prevalence of HW compared to OND (p < 0.01), a higher cardiometabolic risk compared to OND profile was observed assessing AI (p = 0.05), Castelli I (p < 0.05) and Castelli II (p < 0.05) scores. Conclusions: in the studied population, individuals with DO exhibit elevated cardiometabolic risk compared to other anthropometrical and peripheral muscle strength profiles.

Association between dynapenic obesity and risk of cardiovascular disease: The Hisayama study.

BACKGROUND: Dynapenic obesity is a condition characterized by high adiposity levels combined with muscle dysfunction. Although high adiposity and muscle loss/dysfunction are thought to synergistically increase the risk of cardiovascular disease (CVD), few studies have addressed the association between dynapenic and sarcopenic obesity and CVD. We aimed to investigate the association of dynapenic obesity with incident CVD events using the data from a population-based prospective longitudinal study in Japan. METHODS: A total of 2490 community-dwelling Japanese aged 40-79 years (42.5% males, mean age 57.7 ± 10.6 years) without a history of CVD were followed up for a median of 24 years. Handgrip strength was classified as low, medium, or high by age- and sex-specific tertiles. Body mass index (BMI) levels were categorized as lean (<18.5 kg/m2), normal (18.5-24.9 kg/m2), or obese (≥25.0 kg/m2). Dynapenic obesity was defined as having both low handgrip strength and obesity. The outcomes were defined as the first-ever development of CVD (defined as stroke or coronary heart disease). The hazard ratios (HRs) and their 95% confidence intervals (CIs) for the development of CVD were estimated using a Cox proportional hazards model, in which participants with high handgrip strength and normal BMI were used as a reference group. Mediation analyses used serum high-sensitivity C-reactive protein (hs-CRP) and homeostatic model assessment for insulin resistance (HOMA-IR) as mediators. RESULTS: During the follow-up period, 482 participants developed CVD events (324 cases of stroke and 209 of coronary heart disease). The multivariable-adjusted risk of CVD increased significantly among participants with dynapenic obesity compared with the reference group (HR 1.49, 95% CI 1.03-2.17). An analysis by age groups showed a further increase in the risk of CVD among participants with dynapenic obesity aged less than 65 years (HR 1.66, 95% CI 1.04-2.65). In mediation analyses for participants aged less than 65 years, serum hs-CRP was shown to be a significant mediator explaining 13.8% of the association between dynapenic obesity and the development of CVD, while HOMA-IR explained 12.2% of this relationship. CONCLUSIONS: Dynapenic obesity was a significant risk factor for the development of CVD in a general Japanese population. This association was more pronounced among those aged <65 years. Inflammation, and possibly glucose metabolism, might partly mediate this association. Our findings suggest that preventing muscle dysfunction as well as appropriate weight control, especially in middle-age, are important for preventing the development of CVD.

The distinct impacts of sarcopenic and dynapenic obesity on mortality in middle-aged and older adults based on different adiposity metrics: Results from I-Lan Longitudinal Aging Study.

BACKGROUND & AIMS: Sarcopenic obesity (SO) and dynapenic obesity (DO) represent two manifestations of excessive fat accumulation concurrent with compromised muscle mass and function, thereby necessitating an examination of their implications for health. This study aims to investigate the relationship between SO/DO and mortality, taking into account various adiposity measures and existing sarcopenia criteria, with further stratified analyses based on age and gender. METHODS: The study sample comprised 1779 older adults residing in the community from the I-Lan Longitudinal Aging Study (ILAS). Body composition was assessed via dual-energy X-ray absorptiometry. The diagnosis of sarcopenia was adhered to the 2019 consensus of the Asian Working Group for Sarcopenia, while adiposity was measured by waist circumference (WC), body mass index (BMI), and fat percentage. SO/DO was defined as the coexistence of sarcopenia/dynapenia and obesity. Multivariate Cox proportional hazard regression models were adopted to examine the association between SO or DO, defined by WC, BMI, fat percentage, and mortality. RESULTS: This 11-year follow-up study of 1779 participants aged 63.9 ± 9.2 years involved 15,068 person-years and 229 deaths. WC-defined SO (HR 1.9, 95% CI 1.1-3.3, p = 0.021) and WC-defined DO (HR 1.4, 95% CI 1.1-1.9, p = 0.022) significantly increased mortality risk, whereas definitions employing alternative adiposity metrics exhibited no statistical significance. WC-defined SO was associated with increased risk of mortality among middle-aged adults, while WC-defined DO was associated with increased risk of mortality among older adults. In sex-specific analysis, WC-defined DO was also associated with increased risk of mortality in men (HR 1.6, 95% CI 1.1-2.4, p = 0.019), while defined by other measurements showed no associations in both sexes. CONCLUSIONS: The study identified a significant link between SO/DO, defined by WC, and an 11-year mortality risk, advocating for WC-defined adiposity as an obesity measure and personalized interventions considering SO and DO's distinct impacts on mortality in middle-aged and older adults.

Association between bone health and dynapenic obesity in postmenopausal women.

AIM: The combination of dynapenia (age-related muscle weakness) and obesity is referred to as dynapenic obesity. We examined the associations between dynapenic obesity and cortical bone thickness and trabecular bone density. METHODS: The participants were 797 community-dwelling postmenopausal women (with an average age of 62.5 years) who were stratified into normopenia without obesity, dynapenia without obesity (dynapenia), normopenia with obesity (obesity) and dynapenia with obesity (dynapenia obesity) groups based on their grip strength and body fat percentage. Cortical bone thickness and trabecular bone density were measured using ultrasonic bone densitometry. The participants were further divided into those with low cortical bone thickness and low trabecular bone density. Logistic regression analysis was used to identify associated factors. RESULTS: Individuals with dynapenia (odds ratio [OR] 1.77, 95% confidence interval [CI] 1.16-2.68), obesity (OR 2.46, 95% CI 1.62-3.75) and dynapenic obesity (OR 4.07, 95% CI 2.44-6.79) all significantly increased the odds of low cortical bone thickness. Conversely, the odds of low trabecular bone density were significantly lower in the obesity group (OR 0.65, 95% CI 0.43-0.99) and dynapenic obesity group (OR 0.60, 95% CI 0.37-0.97). CONCLUSIONS: Dynapenic obesity was found to be associated with cortical bone thinning that might compromise bone health. Postmenopausal women with dynapenic obesity might need to be closely monitored for preserving bone health. Geriatr Gerontol Int 2024; 24: 378-384.

Association between dynapenic obesity phenotypes and physical performance in middle-age and older women living in community.

Background: Dynapenic obesity (DO) is the coexistence of excess adipose tissue/body weight and low muscle strength. This condition is associated with an increased risk of suffering from various chronic diseases and physical deterioration in older people. Aim: To analyze the association between DO phenotypes and physical performance in middle-aged women living in the community. Methods: This cross-sectional study was conducted on middle-aged and older women (≥50 years) residing in Guayaquil, Ecuador. Dynapenia was diagnosticated by a handgrip strength (HGS) < 16 kg; obesity was determined based on body mass index (BMI) ≥ 30 kg/m2. Participants were categorized into four groups based on their dynapenia and obesity status: non-dynapenic/non-obesity (ND/NO), obesity/non-dynapenic (O/ND), dynapenic/non-obesity (D/NO) and dynapenic/obesity (D/O). Physical performance was assessed by the Short Physical Performance Battery (SPPB). Results: A total of 171 women were assessed. The median (IQR) age of the sample was 72.0 (17.0) years. Obesity and dynapenia were 35% (n = 60) and 57.8% (n = 99) of the participants, respectively. The prevalence of ND/NO was 25.1% (n = 43), O/ND 17% (n = 29), D/NO 39.8% (n = 68) and DO 18.1% (n = 31). The mean SPPB total score was 6.5 ± 3.2. Participants of D/NO and DO groups presented significantly lower mean SPPB scores (p < 0.001) compared to those of NO/ND and O/ND groups. Conclusion: Women with DO and D/NO exhibited significantly lower SPPB scores, indicating poorer physical performance. These findings emphasize the importance of incorporating a comprehensive assessment of muscle strength and obesity in middle-aged and older women.

The Association between Body Composition Phenotype and Insulin Resistance in Post-COVID-19 Syndrome Patients without Diabetes: A Cross-Sectional, Single-Center Study.

BACKGROUND: The most frequent body composition alterations in post-COVID-19 syndrome include low muscle mass, dynapenia, sarcopenia, and obesity. These conditions share interconnected pathophysiological mechanisms that exacerbate each other. The relationship between body composition phenotypes and metabolic abnormalities in post-COVID-19 syndrome remains unclear. OBJECTIVE: To evaluate the association between body composition phenotypes and insulin resistance (IR) and metabolic abnormalities in non-diabetic individuals with post-COVID-19 syndrome. METHODS: A cross-sectional, single-center study involving 483 subjects with post-COVID-19 syndrome following moderate to severe acute COVID-19 requiring hospitalization. Individuals with diabetes, those who declined to participate, or those who could not be contacted were excluded. Body composition phenotypes were classified as normal weight, dynapenia, sarcopenia, dynapenic obesity, and sarcopenic obesity (SO). RESULTS: The average age was 52.69 ± 14.75 years; of note, 67.08% were male. The prevalence of body composition phenotypes was as follows: 13.25% were of normal weight, 9.52% had dynapenia, 9.94% had sarcopenia, 43.69% had obesity, 18.84% had dynapenic obesity, and 4.76% had SO. Additionally, 58.18% had IR. Obesity (OR: 2.98, CI95%; 1.64-5.41) and dynapenic obesity (OR: 4.98, CI95%; 1.46-6.88) were associated with IR. CONCLUSION: The most common body composition phenotypes were obesity, dynapenic obesity, and dynapenia. Furthermore, obesity and dynapenic obesity were associated with IR in post-COVID-19 syndrome.

Prevalence of dynapenic obesity and sarcopenic obesity and their associations with cardiovascular disease risk factors in peritoneal dialysis patients.

BACKGROUND: Dynapenic obesity and sarcopenic obesity increase cardiovascular disease (CVD) and mortality in nonuremic patients. The present study was designed to determine the prevalence of dynapenic obesity and sarcopenic obesity and their associations with CVD risk factors in peritoneal dialysis (PD) patients. METHODS: All eligible PD patients in Tehran peritoneal dialysis centers were included in this cross-sectional study. Skeletal muscle mass and fat mass were assessed using bioelectrical impedance analysis. Muscle strength and physical performance were determined using hand grip strength and a 4-meter walk gait speed test, respectively. In addition, a 5-mL blood sample was obtained from each patient. RESULTS: The prevalence of dynapenic obesity and sarcopenic obesity were 11.4% and 3.8% in PD patients, respectively. Serum high-sensitive C-reactive protein (hs-CRP), soluble intercellular adhesion molecule type 1, triglyceride, total cholesterol, and low-density lipoprotein cholesterol were significantly higher in PD patients with dynapenic obesity than in dynapenic nonobese and nondynapenic nonobese patients. Similarly, serum concentrations of CVD risk factors in PD patients with sarcopenic obesity were higher than in nonsarcopenic nonobese patients, but these differences were statistically significant only for serum hs-CRP and triglyceride. In addition, muscle strength and skeletal muscle mass percentage were negatively associated with markers of inflammation and dyslipidemia, whereas body fat percentage was positively associated with these CVD risk factors. CONCLUSION: This study indicates that although the prevalence of dynapenic obesity and sarcopenic obesity are relatively low in PD patients, these disorders may be associated with CVD risk factors.

Dynapenic obesity as an associated factor to lipid and glucose metabolism disorders and metabolic syndrome in older adults - Findings from SABE Study.

BACKGROUND & AIMS: There is little evidence showing that dynapenic obesity is associated with lipid and glucose metabolism disorders, high blood pressure, chronic disease and metabolic syndrome. Our aim was to analyze whether dynapenic abdominal obesity can be associated with lipid and glucose metabolism disorders, high blood pressure, metabolic syndrome and cardiovascular diseases in older adults living in São Paulo. METHODS: This cross-sectional study included 833 older adults who took part of the third wave of the Health, Well-being and Aging Study in 2010. Based on waist circumference (>88 cm women and >102 cm men) and handgrip strength (<16 kg women and <26 kg men), four groups were identified: non-dynapenic/non-abdominal obese (ND/NAO), abdominal obese alone (AOA), dynapenic alone (DA) and dynapenic/abdominal obese (D/AO). Dependent variables were blood pressure, lipid profile, fasting glucose and glycated-haemoglobin, metabolic syndrome and cardiovascular diseases. Logistic regression was used to analyze the associations between dynapenia and abdominal obesity status and lipid and glucose metabolic profiles, blood pressure, cardiovascular diseases and metabolic syndrome. RESULTS: The fully adjusted models showed that D/AO individuals had higher prevalence of low HDL plasma concentrations (OR = 2.51, 95%CI: 1.40-4.48), hypertriglyceridemia (OR = 2.53, 95%CI: 1.43-4.47), hyperglycemia (OR = 2.05, 95%CI: 1.14-3.69), high glycated-haemoglobin concentrations (OR = 1.84, 95%CI: 1.03-3.30) and metabolic syndrome (OR = 12.39, 95%CI: 7.38-20.79) than ND/NAO. Dynapenic and D/AO individuals had higher prevalence of heart disease (OR = 2.05, 95%CI: 1.17-3.59 and OR = 1.92, 95%CI: 1.06-3.48, respectively) than ND/NAO. CONCLUSION: D/AO was associated with high prevalence of lipid and glucose metabolism disorders and metabolic syndrome while dynapenia and D/AO were associated with high prevalence of heart disease.

Influence of Protein Intake, Race, and Age on Responses to a Weight-Reduction Intervention in Obese Women.

BACKGROUND: Women have higher rates of obesity than men and develop more pronounced functional deficits as a result. Yet, little is known about how obesity reduction affects their functional status, including whether their responses differ when protein intake is enhanced. OBJECTIVE: The aim of this study was to confirm the feasibility of delivery of a higher-protein (balanced at each meal) calorie-restricted diet in obese women and determine its efficacy for influencing function and retention of lean mass. METHOD: Obese community-dwelling women [n = 80; body mass index (in kg/m2), in means ± SDs: 37.8 ± 5.9; aged 45-78 y; 58.8% white] were enrolled in a weight-loss (-500 kcal/d) study and randomly assigned to either a Control-Weight-Loss (C-WL; 0.8 g protein/kg body weight) group or a High-Protein-Weight-Loss (HP-WL; 1.2 g protein/kg body weight; 30 g protein 3 times/d) group in a 1:2 allocation. Primary outcomes were function by 6-min walk test (6MWT) and lean mass by using the BodPod (Life Measurement, Inc.) at 0, 4, and 6 mo. RESULTS: Both groups reduced calorie intakes and body weights (P < 0.001), and the feasibility of the HP-WL intervention was confirmed. The 6MWT results improved (P < 0.01) at 4 mo in the HP-WL group and at 6 mo in both groups (P < 0.001). Both groups improved function by several other measures while slightly decreasing (P < 0.01) lean mass (-1.0 kg, C-WL; -0.6 kg, HP-WL). Weight loss was greater in white than in black women at both 4 mo (6.0 ± 3.6 compared with 3.7 ± 3.4 kg; P < 0.02) and 6 mo (7.2 ± 4.8 compared with 4.0 ± 4.7 kg; P < 0.04) and tended to be positively related to age (P < 0.06). CONCLUSIONS: A clinically important functional benefit of obesity reduction was confirmed in both study groups, with no significant group effect. Our findings of racial differences in response to the intervention and a potential influence of participant age lend support for further studies sufficiently powered to explore the interaction of race and age with functional responses to obesity reduction in women. This trial was registered at clinicaltrials.gov as NCT02033655.

Dynapenic obesity and lower extremity function in elderly adults.

OBJECTIVES: Little is known about the relationship between dynapenic obesity and physical function in older Asian populations. This study aimed to examine the relationship of dynapenic obesity and lower extremity function in Chinese elderly adults. METHODS: Data were from a cross-sectional study (n = 616). Based on the World Health Organization Asian Criteria of Obesity and handgrip strength tertiles, 4 independent groups were classified as follows: nondynapenia/nonobesity, dynapenia-alone, obesity-alone, and dynapenic obesity. Lower extremity function was evaluated with a 20-meter gait speed test, balance test, and self-reported mobility disability. RESULTS: Compared with the dynapenic obesity group, the adjusted odds ratios (ORs) and 95% confidential intervals (CIs) for slow gait speed in men were 0.55 (0.27-0.86) in the nondynapenia/nonobesity group, 0.78 (0.31-0.96) in the dynapenia-alone group, and 0.86 (0.16-0.95) in the obesity-alone group. The corresponding ORs (95% CIs) in women were 0.46 (0.27-0.71), 0.80 (0.17-0.93), and 0.73 (0.15-0.91), respectively. Compared with the dynapenic obesity group, the adjusted ORs (95% CIs) for mobility disability in men were 0.41 (0.26-0.62) in the nondynapenia/nonobesity group, 0.61 (0.16-0.85) in the dynapenia-alone group, and 0.72 (0.28-0.88) in the obesity-alone group. The corresponding ORs (95% CIs) in women were 0.37 (0.17-0.81), 0.51 (0.27-0.96), and 0.53 (0.26-0.83), respectively. No significant difference was observed among the 4 groups with respect to the balance test score in both sexes (P < .01). CONCLUSIONS: Dynapenic obesity was associated with a greater risk of slow gait speed and mobility disability compared with dynapenia-alone or obesity-alone.

Disability associated with obesity, dynapenia and dynapenic-obesity in Chinese older adults.

OBJECTIVES: Whether the combination of obesity and low muscle strength (dynapenic-obesity) would cause greater impairment of the activities of daily living (ADL)/instrumental activities of daily living (IADL) than obesity alone and low muscle strength alone (dynapenia) remains unclear. The aim of this study was to reveal the possible independent and additive effects of dynapenia and obesity on ADL/IADL disability in an older Chinese population. METHODS: A cross-sectional study, including 616 community-dwelling older adults, was conducted in China from 2010 to 2012. Based on the World Health Organization Asian Criteria of Obesity and handgrip strength tertiles, 4 independent groups were identified as follows: nondynapenia/nonobesity, dynapenia alone, obesity alone, and dynapenic-obesity. The Katz Index of Independence in ADL was used to assess ADL disability, whereas 6 IADL items of the Older Americans Resources and Services (OARS) multidimensional functional assessment questionnaire were used to assess IADL disability. RESULTS: The prevalence of ADL and IADL disability was 21.1% and 28.9% in the dynapenic-obesity group, 15.5% and 22.6% in the dynapenia alone group, 13.1% and 19.6% in the obesity alone group, and 11.9% and 12.9% in the nondynapenia/nonobesity group, respectively. After adjusting for the covariates, in comparison with the dynapenic-obesity group, the adjusted odds ratios (95% confidence interval) for ADL disability were 0.36 (0.13-0.73) in the nondynapenia/nonobesity group, 0.51 (0.20-0.78) in the dynapenia-alone group, and 0.40 (0.11-0.61) in the obesity-alone group. The corresponding data for IADL disability were 0.55 (0.20-0.93), 0.82 (0.39-0.98), and 0.61 (0.30-0.91), respectively. CONCLUSION: Dynapenia, obesity, and dynapenic-obesity were associated with an increased risk of ADL/IADL disability. Dynapenic-obesity was associated with a greater risk of ADL/IADL disability in comparison with dynapenia or obesity alone.