Dynapenic Obesity Research Articles

Physical activity and sedentary behavior as screening tools for dynapenic abdominal obesity and dynapenic obesity in older adults: A cross-sectional investigation

ObjectiveTo investigate the discriminatory capacity of habitual physical activity (HPA) and sedentary behavior (SB) when screening for dynapenic abdominal obesity (DAO) and dynapenic obesity (DO) in older adults. MethodsA cross-sectional population epidemiological investigation was conducted with 207 older adults. Obesity was diagnosed by high waist circumference and body mass index. Dynapenia was identified through low handgrip-strength. ResultsIn men, the best HPA cutoff points to discriminate DAO and DO were, respectively, 80 minutes/week (sensitivity: 100%; specificity: 71.95%) and 145 minutes/week (sensitivity: 100%; specificity: 54.88%). The best SB value for DAO was 351.43 minutes/day (sensitivity: 100%; specificity: 65.85%) and 400 minutes/day (sensitivity: 100%; specificity: 79.27%) for DO. In women, 150 minutes/week was the best HPA value for both DAO (sensitivity: 75%; specificity: 57.84%) and DO (sensitivity: 90.91%; specificity: 56.76%). The best SB cutoff points for DAO and DO were 381.43 minutes/day (sensitivity: 60%; specificity: 82.35%) and 337.14 minutes/day (sensitivity: 72.73%; specificity: 65.80%), respectively. ConclusionBoth HPA and SB demonstrated discriminatory capacity for screening DAO and DO in the study population.

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

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. A total of 2490 community-dwelling Japanese aged 40-79years (42.5% males, mean age 57.7±10.6years) without a history of CVD were followed up for a median of 24years. Handgrip strength was classified as low, medium, or high by age- and sex-specific tertiles. Body mass index (BMI) levels were categorized as lean (<18.5kg/m2), normal (18.5-24.9kg/m2), or obese (≥25.0kg/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. 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 65years (HR 1.66, 95% CI 1.04-2.65). In mediation analyses for participants aged less than 65years, 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. 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 <65years. 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.

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

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. To analyze the association between DO phenotypes and physical performance in middle-aged women living in the community. 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). 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. 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.

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.

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

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. To evaluate the association between body composition phenotypes and insulin resistance (IR) and metabolic abnormalities in non-diabetic individuals with post-COVID-19 syndrome. 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). 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. 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.

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

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. 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. 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. 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.

The role of dynapenia and obesity on cognitive function in older adults

Background & AimsDynapenia and obesity have been independently associated with cognitive decline in older adults, but their co-occurring effects has not been well-studied.The study objective is to examine the relationship between dynapenic-obesity and cognitive impairment in older adults 75 years and older with normal or high cognitive function at baseline over 12 years of follow-up. We hypothesize that those with dynapenic obesity will have greater odds of cognitive function impairment than those with dynapenia only, obesity only, or no dynapenia no obesity (reference group). MethodsA total of 761 participants with a mean age of 81.5 and Mini-Mental State Examination (MMSE) >21 at baseline were divided into four groups: no dynapenia no obesity (n=316), obesity only (n=142), dynapenia only (n=217), and dynapenic obesity (n=86). Measures included socio-demographics, medical conditions, body mass index, depressive symptoms, handgrip strength, and limitations in activities of daily living. We performed a mixed models estimate for cognitive decline for these groups over a 12-year period. Handgrip strength (HGS) was measured with a handgrip dynamometer and cognitive function was assessed with MMSE. ResultsParticipants in the dynapenia-obesity group experienced a greater (β = - 1.29, Standard Error = 0.60, p-value = 0.0316) cognitive decline over time compared to those in the no dynapenia and no obesity group, after controlling for all covariates. ConclusionOlder adults with dynapenic-obesity were at high risk of cognitive decline over time. These findings highlight the need for interventions that target both conditions in this population to help maintain cognitive health. Community-based strength training programs and educational initiatives on nutrition and diet can help older adults reduce their risk of age-related cognitive decline.

Positive impact of obesity on the prognosis of liver cirrhosis.

The study aims to determine the prognostic impact of obesity, sarcopenic obesity, and dynapenic obesity in patients with chronic liver disease. 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 ≥25kg/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. The mean observation period was 2.5years. 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 (≥65years 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. 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.

Dynapenic abdominal obesity and the risk of depressive symptoms in middle-aged and older Chinese adults: Evidence from a national cohort study

BackgroundPopulation-based evidence on the relationship between dynapenic abdominal obesity and depressive symptoms is rare. We aimed to prospectively investigate the relationship between dynapenic abdominal obesity and depressive symptoms among middle-aged and older Chinese adults. MethodsA total of 9322 participants free of depressive symptoms in the China Health and Retirement Longitudinal Study were included. The participants were divided into four groups: non-dynapenic/non-abdominal obesity (ND/NAO), non-dynapenic/abdominal obesity (ND/AO), dynapenic/non-abdominal obesity (D/NAO) and dynapenic/abdominal obesity (D/AO) according to the sex-specific grip strength (<28 kg for men and <18 kg for women) and waist circumference (≥85 cm for men and ≥80 cm for women) that in line with the Chinese criteria. Depressive symptoms was defined as a score of ≥12 for the 10-item Center for Epidemiological Studies Depression Scale. Logistic regression model was used to explore the association between dynapenic abdominal obesity and depressive symptoms. ResultsAfter an approximately 3-year of follow-up, 1810 participants (19.4 %) developed depressive symptoms. The multivariable-adjusted odds ratio for the D/AO versus ND/NAO was 1.61 (95 % CI: 1.31–1.98) for depressive symptoms. In addition, this relationship was more profound in participants aged<60 years (OR = 2.27, 95 % CI: 1.60–3.22) than participants aged ≥60 (OR = 1.36, 95 % CI: 1.05–1.77; P-interaction = 0.04). However, dynapenic obesity (defined by body mass index) was not linked to depressive symptoms. LimitationsCausal link and residual confounding were not addressed because of the observational study design. ConclusionsDynapenic abdominal obesity was associated with an increased risk of depressive symptoms, especially among those aged<60 years.

Influence of dynapenic obesity on inflammation and muscle quality in oldest-old patients

Introduction: Aging is associated with a decrease in strength (dynapenia) and an increase in body fat. Both obesity and dynapenia negatively influence health in the oldest old. When these two variables coexist, called dynapenic obesity (DO), these further harms the older adult's health. Objective: To verify the influence of dynapenic obesity on inflammation, physical performance, and muscle quality in the oldest old with and without DO. Methods: Forty-six oldest old participants were included in this study, and sociodemographic, muscle strength, body composition, physical performance, and cytokine data were collected. The sample was divided into DO and control groups to compare the variables. Results: The DO group had higher levels of inflammation, lower levels of absolute handgrip strength, and field muscle quality index than the control group, but with no difference in physical performance or laboratory muscle quality index. Conclusion: Therefore, this study points to dynapenic obesity as an important variable that should be evaluated and considered in the oldest old to prevent possible adverse outcomes in this population.

Association between bone health and dynapenic obesity in postmenopausal women.

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. 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. 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). 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.

Diabetes, dynapenia, and dynapenic obesity in Saudi postmenopausal women

Diabetes, dynapenia, and dynapenic obesity in Saudi postmenopausal women

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.

Dynapenia and Sarcopenia in Post-COVID-19 Syndrome Hospitalized Patients Are Associated with Severe Reduction in Pulmonary Function.

After hospital discharge, post-COVID-19 syndrome has been observed to be associated with impaired diffusing capacity, respiratory muscle strength, and lung imaging abnormalities, in addition to loss of muscle mass/strength, sarcopenia, and obesity impact exercise tolerance, pulmonary functions, and overall prognosis. However, the relationship between lung function and the coexistence of obesity with low muscle strength and sarcopenia in post-COVID-19 patients remains poorly investigated. Therefore, our aim was to evaluate the association between lung function and the coexistence of obesity with dynapenia and sarcopenia in post-COVID-19 syndrome patients. This cross-sectional study included subjects who were hospitalized due to moderate to severe COVID-19, as confirmed by PCR testing. Subjects who could not be contacted, declined to participate, or died before the follow-up visit were excluded. A total of 711 subjects were evaluated; the mean age was 53.64 ± 13.57 years, 12.4% had normal weight, 12.6% were dynapenic without obesity, 8.3% had sarcopenia, 41.6% had obesity, 21.2% had dynapenic obesity, and 3.8% had sarcopenic obesity. In terms of pulmonary function, the dynapenic subjects showed decreases of -3.45% in FEV1, -12.61 cmH2O in MIP, and -12.85 cmH2O in MEP. On the other hand, the sarcopenic subjects showed decreases of -6.14 cmH2O in MIP and -11.64 cmH2O in MEP. The dynapenic obesity group displayed a reduction of -12.13% in PEF. In post-COVID-19 syndrome, dynapenia and sarcopenia-both with and without obesity-have been associated with lower lung function.

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

BackgroundWith 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.MethodsData 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.ResultsTotally 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 (β = 0.038; 95%CI, 0.015–0.074), while this favorable effect became nonsignificant for moderate sleep duration (β = 0.008; 95% CI, -0.003–0.024) and turned negative with prolonged sleep duration (β = − 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.ConclusionFor 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.

Lower body muscle strength, dynapenic obesity and risk of type 2 diabetes –longitudinal results on the chair-stand test from the Survey of Health, Ageing and Retirement in Europe (SHARE)

BackgroundThe chair-stand test is a measure of lower body muscle strength. In a longitudinal study with older adults, we investigated whether results of the five-repetition chair-stand test (CST-5) are associated with incident type 2 diabetes, and whether diabetes risk in obese persons is modified by dynapenia (age-related loss of muscle strength) in the lower limbs.MethodsWe used data of the Survey of Health, Ageing and Retirement in Europe (SHARE), a panel study with eight waves carried out between 2004 and 2020 in 28 European countries and Israel mainly in persons aged 50 years or older. Forty-six thousand one hundred nineteen persons (mean age 63.5 years, 44.1% men) with CST-5 data and follow-up data for diabetes were included from wave 2 and waves 4 to 7. The mean follow-up time was 5.3 years (standard deviation 2.9 years). Relative risks with 95% confidence intervals (CI) were estimated from log-linear models with a Poisson working likelihood and robust standard errors.ResultsIn the crude model, increased risks of diabetes were found for persons who considered the CST-5 as not safe, or whose times for the test were in the highest or second highest quartiles (relative risks 2.18 (95% CI: 1.95–2.43), 1.71 (1.54–1.91), 1.44 (95% CI: 1.29–1.61), reference: lowest quartile). These associations were attenuated in the fully adjusted regression model (relative risks 1.32 (95% CI: 1.17–1.48), 1.23 (1.10–1.37), 1.19 (1.06–1.33)). Furthermore, in fully adjusted models, the risk of diabetes in obese persons did not depend on whether they had low muscle strength or not. In obese persons with times for 5 sits and stands > 15 seconds, the adjusted risk of diabetes was 2.56 (95% CI: 2.22–2.95) times higher than in non-obese persons with times ≤15 seconds. The corresponding relative risk in obese persons with times ≤15 seconds was 2.45 (2.25–2.67).ConclusionsPoor results in the CST-5 were associated with an increased risk of diabetes. Among obese persons, the risk of diabetes was not modified by results of the CST-5.

Dynapenic-abdominal obesity as an independent risk factor for chronic kidney disease in postmenopausal women: a population-based cohort study.

Low muscle strength and obesity lead to a higher risk of chronic kidney disease (CKD). Perimenopause is associated with a natural decline in muscle strength and an increase in visceral adiposity. Dynapenic obesity, which is the coexistence of low muscle strength and obesity, is expected to synergistically increase the prevalence of CKD in postmenopausal women. The aim of this study was to determine combined associations of dynapenia and obesity with CKD in postmenopausal women. This study used data from the Korean National Health and Nutrition Examination Survey, 2016 to 2019. The study included 4,525 postmenopausal women aged 42 to 80 years that were classified into four groups based on waist circumference (≥85 cm) and hand grip strength (<18 kg): normal, dynapenic, obese, or dynapenic-obese. According to the Kidney Disease: Improving Global Outcomes, we defined CKD as an estimated glomerular filtration rate <60 mL/min per 1.73 m2. Complex sample logistic regression models were conducted to determine the relationships among coexistence of dynapenia, abdominal obesity, and the risk of CKD. Dynapenic-abdominal obese group displayed lower estimated glomerular filtration rate levels than other groups (P < 0.05 for all data). The prevalence rates of CKD were 15.5%, 7.8%, 6.2%, and 2.4% in the dynapenic-abdominal obese, dynapenic, abdominal obese, and normal groups, respectively (P < 0.001). Complex sample logistic regression analyses, after adjusting for age, height, health behaviors, and comorbidities, showed that the odds ratio for CKD with respect to dynapenic-abdominal obesity was 1.82 (95% confidence interval, 1.19-2.79) and to abdominal obesity was 1.54 (95% confidence interval, 1.07-2.22) than in the normal group. This study demonstrated that dynapenic-abdominal obesity, as determined by low handgrip strength and high waist circumference values, was associated with increased risk of CKD in postmenopausal women.

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 is associated with mild cognitive impairment in patients with cardiometabolic disease: a cross-sectional study

BackgroundDementia is an important health issue for older people and requires early intervention in the mild cognitive impairment (MCI) stage to manage risk factors. Both dynapenia (DP) and abdominal obesity (AO) are associated with inflammation and oxidative stress, which may be involved in the pathogenesis of cognitive impairment. Therefore, in this cross-sectional study, we aimed to evaluate the association between MCI and dynapenic abdominal obesity (DAO), a combination of DP and AO.MethodsA total of 417 older outpatients with cardiometabolic diseases without severe cognitive impairment were studied to compare cognitive function in four groups: control, DP, AO, and DAO groups. DAO was defined as the combination of DP (handgrip strength of < 28 kg and < 18 kg in men and women, respectively) and AO (waist circumference of ≥ 85 cm and ≥ 90 cm in men and women, respectively). MCI was defined as a score of ≤ 25 in the Japanese version of the Montreal Cognitive Assessment. Multiple regression analyses were performed to examine if MCI was independently associated with DAO, low handgrip strength, or high waist circumference.ResultsThe DAO group obtained the lowest cognitive test scores and had the highest prevalence of MCI. Furthermore, after adjusting for covariates, the logistic regression analysis showed that patients in the DAO group were at an increased risk of MCI (odds ratio [OR] = 3.98, 95% confidence interval [CI]: 1.15–13.77). Further logistic regression analyses revealed that both low handgrip strength (OR = 2.19, 95% CI: 1.11–4.29) and high waist circumference (OR = 2.03, 95% CI: 1.03–3.99) were associated with MCI.ConclusionsDAO, which can be easily diagnosed by a combination of handgrip strength and waist circumference, was associated with MCI in patents with cardiometabolic metabolic disease. This study suggests that screening for MCI in DAO patients could be important for early intervention of dementia prevention.