Prevalence Of Low Muscle Mass Research Articles

Higher ultra processed foods intake is associated with low muscle mass in young to middle-aged adults: a cross-sectional NHANES study.

Ultra-processed foods (UPFs) have become a pressing global health concern, prompting investigations into their potential association with low muscle mass in adults. This cross-sectional study analyzed data from 10,255 adults aged 20-59 years who participated in the National Health and Nutritional Examination Survey (NHANES) during cycles spanning from 2011 to 2018. The primary outcome, low muscle mass, was assessed using the Foundation for the National Institutes of Health (FNIH) definition, employing restricted cubic splines and weighted multivariate regression for analysis. Sensitivity analysis incorporated three other prevalent definitions to explore optimal cut points for muscle quality in the context of sarcopenia. The weighted prevalence of low muscle mass was 7.65%. Comparing the percentage of UPFs calories intake between individuals with normal and low muscle mass, the values were found to be similar (55.70 vs. 54.62%). Significantly linear associations were observed between UPFs consumption and low muscle mass (P for non-linear = 0.7915, P for total = 0.0117). Upon full adjustment for potential confounding factors, participants with the highest UPFs intake exhibited a 60% increased risk of low muscle mass (OR = 1.60, 95% CI: 1.13 to 2.26, P for trend = 0.003) and a decrease in ALM/BMI (β = -0.0176, 95% CI: -0.0274 to -0.0077, P for trend = 0.003). Sensitivity analysis confirmed the consistency of these associations, except for the International Working Group on Sarcopenia (IWGS) definition, where the observed association between the highest quartiles of UPFs (%Kcal) and low muscle mass did not attain statistical significance (OR = 1.35, 95% CI: 0.97 to 1.87, P for trend = 0.082). Our study underscores a significant linear association between higher UPFs consumption and an elevated risk of low muscle mass in adults. These findings emphasize the potential adverse impact of UPFs on muscle health and emphasize the need to address UPFs consumption as a modifiable risk factor in the context of sarcopenia.

Association of composite dietary antioxidant index and muscle mass in individuals with metabolic associated fatty liver disease

BackgroundThere is mounting evidence indicating the association between oxidative stress and the detrimental effect it poses on muscle mass. However, the crucial interplay between the Composite Dietary Antioxidant Index (CDAI), a key metric of antioxidant-rich diets, and the occurrence of muscle loss has remained largely unexplored. Hence, in this study, we aim to investigate the potential relationship between CDAI and muscle loss MethodsThis cross-sectional investigation harnessed data sourced from the National Health and Nutrition Examination Survey (2017 and 2018) to meticulously scrutinize the correlation between the CDAI and the occurrence of muscle loss. To unravel this intricate relationship, we engaged in multivariate weighted logistic regression analysis and employed smooth curve fitting techniques. Additionally, subgroup analyses were meticulously performed. ResultsA total of 956 participants, with an average age of 42.15 years, were included in the final analysis, of which 52.19 % were males. Notably, the prevalence of low muscle mass among the study population was observed to be 15.48 %. The utilization of smooth curve fitting analysis underscored a nearly linear association between the CDAI and the presence of low muscle mass. Employing multivariate weighted logistic regression analysis, it was determined that the odds ratio (OR) between CDAI and low muscle mass was 0.88 (95 % [CI], 0.73–0.95). Through subgroup analyses, we further validated that CDAI independently mitigated the risk of muscle loss. ConclusionHigher CDAI levels were found to be associated with an reduced risk of low muscle mass in adults with metabolic associated fatty liver disease (MAFLD).

Association between pulse pressure and low muscle mass in Korean adults: A nationwide cross-sectional study

Sarcopenia is characterized by a loss of muscle mass and strength and is associated with a high risk of cardiovascular events and increased mortality. Pulse pressure (PP) serves as a marker for changes in heart structure and function, as well as arterial stiffness. A high PP also increases the risk of cardiovascular disease and all-cause mortality. However, the relationship between PP and sarcopenia is poorly understood. We used the data of participants of the Korea National Health and Nutrition Examination Survey (KNHANES) of 2008 to 2011. Participants were divided into a control group (PP < 40 mm Hg) and a high-PP group (PP ≥ 40 mm Hg). PP was calculated by subtracting the diastolic blood pressure (DBP) from the systolic blood pressure (SBP), and the low muscle index was assessed using appendicular skeletal muscle mass (ASM) normalized by body mass index (BMI). Multiple logistic regression analyses were performed to examine the association between PP and the prevalence of low muscle mass, adjusting for potential confounders. The high-PP group had a higher age, SBP, DBP, and prevalence of hypertension, diabetes and hyperlipidemia than the control group. The high-PP group had a higher prevalence of low muscle mass than the control group in all models. A high PP is significantly associated with a higher prevalence of low muscle mass. Therefore, PP monitoring may help identify individuals at risk of sarcopenia and guide interventions to improve health outcomes.

Association between dietary antioxidant and fatty acids and low muscle mass in obese and non-obese community-dwelling older adults: An NHANES analysis.

Sarcopenia increases disability, hospital stays, readmissions, and mortality in older adults. Antioxidative nutrients and fatty acids consumption may help maintain muscle mass by reducing oxidative stress. This study aims to assess the association between antioxidant and fatty acid intake and low muscle mass in community-dwelling older people. This retrospective analysis used data from the National Health and Nutrition Examination Survey from 1999 to 2004. Participants ≥ 60 years with information on muscle mass measured by Dual energy X-ray absorptiometry (DXA) were included. Appendicular skeletal muscle mass was assessed. Associations between antioxidants and fatty acids intake, and low muscle mass were evaluated using logistic regressions. 3648 (1748 men and 1900 women) were included. The prevalence of low muscle mass was 41% and 26% among men and women ≥ 75 years, and 45.2% and 28.4% among obese men and women. In obese males, a natural-log-unit increase of vitamin A (aOR = 0.806, 95% CI: 0.652-0.996), vitamin C (aOR = 0.878, 95% CI: 0.779-0.990), selenium intake (aOR = 0.716, 95% CI: 0.517-0.993), and higher saturated fatty acids (aOR = 0.956, 95% CI: 0.915-0.998) and monounsaturated fatty acids (aOR = 0.959, 95% CI: 0.925-0.994) intake were associated with decreased odds for low muscle mass. Among obese females, a natural-log-unit increase of vitamin E (P = .036), vitamin B12 (P = .014), total folate (P = .015), zinc (P = .005), and selenium intake (P = .018) were associated with increased odds of low muscle mass, whereas higher saturated fatty acids (P < .001), monounsaturated fatty acids (P = .001), and polyunsaturated fatty acids intake (P = .006) were associated with decreased odds for low muscle mass. Antioxidants (vitamin A, C, E, B6, B12, total folate, zinc, magnesium, selenium) intake does not consistently relate to low muscle mass across age and sex. Higher intake of saturated, monounsaturated, and polyunsaturated fatty acids are independently associated with reduced likelihood of low muscle mass in both obese older men and women.

Calf circumference as a screening tool for low skeletal muscle mass: Cut-off values in independent Thai older adults

BackgroundCalf circumference is recommended as a marker for low muscle mass and as a case finding in the diagnosis of sarcopenia. However, the cut-off value differed by ethic and region. Currently there is no study among Thai population. Therefore, we aimed to identify the optimal cutoff value of calf circumference as a screening tool for low skeletal muscle mass in independent Thai older adults. Subgroup analysis was performed for obesity and adults over 75 years.MethodsThis cross-sectional cohort studied in an outpatient geriatric check-up clinic. Participants, aged 60 and above, needed to be independent in basic activities of daily living to meet the inclusion criteria. Exclusion criteria comprised active malignancy, cardiac, pulmonary, or neurovascular diseases necessitating hospitalization in the preceding three months, chronic renal diseases requiring renal replacement therapy, and unstable psychiatric disorders. We measured the maximum calf circumference and appendicular skeletal muscle mass (ASMI) using bioelectrical impedance analysis (BIA). Low muscle mass is defined according to the Asian Working Group of Sarcopenia (AWGS) 2019 consensus.ResultsWe enrolled 6,404 elderly adults (mean age 67.3 ± 5.1 years), with a 47% prevalence of low muscle mass in women and 25% in men. Lower muscle mass significantly correlated with reduced BMI and waist circumference in both genders (p < 0.001). Optimal cut-off values for low muscle mass screening were < 33 cm (sensitivity 80.1%, specificity 60.5%) for women and < 34 cm (sensitivity 85.4%, specificity 70.2%) for men. Subgroup analysis for those with BMI ≥ 25 kg/m² suggested raising the cut-off for women to < 34 cm (sensitivity 80.6%, specificity 54.0%) and for men to < 35 cm (sensitivity 88.7%, specificity 55.2%) to enhance specificity without substantial sensitivity loss. In the older-old adult subgroup (≥ 75 years), optimal cut-off values were < 33 cm (sensitivity 84.6%, specificity 79.9%) for women and < 34 cm (sensitivity 75.6%, specificity 87.0%) for men.ConclusionsThere is a strong correlation between calf circumference and ASMI in independent Thai older adults. Calf circumference can serve as a screening tool for identifying low muscle mass. The recommended cut-off values for men and women are 34 cm and 33 cm, respectively in alignment with AWGS 2019 recommendation. Incorporating a 1-cm higher cut-off value for obese older adults improves the accuracy of muscle mass screening.Trial registrationThai clinical trial registry: TCTR20200511003.

Association between dietary knowledge and muscle mass in Chinese older adults: a cross-sectional and longitudinal study

ObjectivesThis study aims to explore the possible association between dietary knowledge and muscle mass in a Chinese population aged 60 years and above.DesignCross-sectional and longitudinal studies.SettingData from the 2006 and...

Suitable ultrasound screening method for older adults with disability to identify low muscle mass.

This study aimed to investigate the accuracy and consistency of different ultrasound protocols for the measurement of gastrocnemius muscle (GM) thickness and to identify a suitable ultrasound scheme that can be used to detect the low muscle mass in older with disability. In this cross-sectional study, each participant underwent three different ultrasound protocols for the measurement of the GM thickness, and each measurement was repeated three times. The three measurement schemes were as follows: method A, lying on the examination bed in a prone position with legs stretched and relaxed and feet hanging outside the examination bed; method B, lateral right side lying position with legs separated (left leg flexed and right leg in a relaxed state); and method C, right side lying position with legs together and lower limb muscles in a relaxed state. The low muscle mass was determined by averaging two or three measurements of the GM thickness determined using different sonographic protocols. The study included 489 participants. The difference in the prevalence of low muscle mass identified between two and three replicates of the same measurement protocol ranged from 0 to 1.3%. Considering the three repeated measurements of the method A as the reference, the area under the curve (AUC) in different measurement schemes were 0.977-1 and 0.973-1 in males and females, respectively. Furthermore, male and female Kappa values from low to high were 0.773, 0.801, 0.829, 0.839, and 0.967 and 0.786, 0.794, 0.804, 0.819, and 0.984, respectively. Different ultrasound measurement protocols showed high accuracy and consistency in identifying low muscle mass. Repeating the measurements two or three times was found to be feasible.

Long-term clinical outcomes in critically ill patients with sepsis and pre-existing low muscle mass: a retrospective cohort study

PurposeCritically ill patients with sepsis account for significant disease morbidity and healthcare costs. Low muscle mass has been proposed as an independent risk factor for poor short-term outcomes, although its effect on long-term outcomes remains unclear.MethodsRetrospective cohort analysis of patients treated at a quaternary care medical center over 6 years (09/2014 - 12/2020). Critically ill patients meeting Sepsis-3 criteria were included, with low muscle mass defined by le 5th percentile skeletal muscle index, measured at the L3 lumbar level (L3SMI) on Computed-Tomography (CT) scan (le 41.6 cm2/m2 for males and le 32.0 cm2/m2 for females). L3SMI was calculated by normalizing the CT-measured skeletal muscle area to the square of the patient’s height (in meters). Measurements were taken from abdominal/pelvic CT scan obtained within 7 days of sepsis onset. The prevalence of low muscle mass and its association with clinical outcomes, including in-hospital and one-year mortality, and post-hospitalization discharge disposition in survivors, was analyzed. Unfavorable post-hospitalization disposition was defined as discharge to a location other than the patient’s home.ResultsLow muscle mass was present in 34 (23%) of 150 patients, with mean skeletal muscle indices of 28.0 ± 2.9 cm2/m2 and 36.8 ± 3.3 cm2/m2 in females and males, respectively. While low muscle mass was not a significant risk factor for in-hospital mortality (hazard ratio 1.33; 95% CI 0.64 – 2.76; p = 0.437), it significantly increased one-year mortality after adjusting for age and illness severity using Cox multivariate regression (hazard ratio 1.9; 95% CI 1.1 – 3.2; p = 0.014). Unfavorable post-hospitalization discharge disposition was not associated with low muscle mass, after adjusting for age and illness severity in a single, multivariate model.ConclusionLow muscle mass independently predicts one-year mortality but is not associated with in-hospital mortality or unfavorable hospital discharge disposition in critically ill patients with sepsis.

Does Botulinum Toxin Injection Exacerbate Sarcopenia and Bone Mass in Individuals With Cerebral Palsy?

BackgroundBotulinum toxin (BoNT) causes sarcopenia and low bone mass in animal studies. Whether such effect exists in children and adolescents with spastic cerebral palsy (CP) is not clear yet. To investigate the influences of BoNT on grip strength (GS), skeletal muscle mass, and bone mineral density (BMD) in children and adolescents with spastic CP, we conducted this uncontrolled longitudinal study. MethodsThe body composition of individuals with spastic CP were measured by dual-energy X-ray absorptiometry at preinjection and at 12 and 24 weeks after BoNT intervention. Sarcopenia was defined as meeting both decreased GS and low muscle mass. Twenty-five participants were enrolled (mean age 8.5 years). ResultsBefore BoNT intervention, four adolescents had sarcopenia and low bone mass. When the body composition was analyzed as four limbs, trunk, and head, the skeletal muscle mass of the injected limbs, appendicular skeletal muscle mass, and total body less head BMD increased significantly over 24-week follow-up period (P = 0.0117, 0.0032, 0.0229), whereas the GS remained unchanged. When the body composition was analyzed as segments derived from bilateral arms, forearms, hands, thighs, and lower legs, the skeletal muscle mass (P = 0.0113) but not BMD of the injected segments increased significantly over the 24 weeks. The prevalence of low muscle mass, decreased GS, sarcopenia, and low bone mass did not change over 24 weeks. ConclusionsThe present study showed that BoNT does not exacerbate sarcopenia and low bone mass in individuals with spastic CP.

Association between systemic immune-inflammation index and low muscle mass in US adults: a cross-sectional study

BackgroundChronic inflammatory responses have been reported to be associated with low muscle mass and systemic immune-inflammation index(SII) is a novel indicator of inflammation. The purpose of our study was to clarify the relationship between SII and low muscle mass.MethodsThis study was a cross-sectional study based on National Health and Nutrition Examination Survey (2011–2018). SII was calculated as the platelet count × neutrophil count/lymphocyte count. Appendicular skeletal muscle index was used to define low muscle mass. The individuals were divided into four groups by the quartile of SII (Q1-Q4). Multivariate weighted logistic regression analysis, smooth curve fitting and subgroup analysis were used to investigate the relationship between SII and sarcopenia. Subgroup analysis were based on demographic and clinical variables.ResultsThere were 10,367 individuals enrolled in our final analysis. The overall mean age was 39.39 years and 49.17% were males. The overall prevalence of low muscle mass in the study population was 8.77%. The smooth curve fitting analysis indicated a near-linear relationship between SII and low muscle mass. In multivariate weighted logistic regression analysis, the odds ratio (OR) of Q4 is 1.28 (95% CI, 1.16–1.40) for low muscle mass when compared to lowest quartile of the SII. In subgroup analysis, SII still increased the risk of low muscle mass independently.ConclusionThe increased SII levels were associated with an increased risk of low muscle mass in a large population. Our study increased the understanding between inflammation and low muscle mass. Anti-inflammation therapy may be important for low muscle mass.

Retirement risk factors, exercise management and muscle mass in US senior horses.

Information on the management and health of US senior horses (≥15 years of age) is currently limited. Provide information on (1) primary use of US senior horses, (2) reasons and risk factors for horse retirement, (3) exercise management, (4) prevalence of low muscle mass and (5) risk factors for, and owner-perceived consequences of, low muscle mass. Online survey. Survey responses from 2717 owners of U.S.-resident senior horses (≥15 years of age) were analysed descriptively and inferentially, using ordered and binomial logistic regression, ANOVA and the Kruskal-Wallis test. The most frequently reported primary uses were pleasure riding/driving (38.5%) and full retirement (39.8%). Most horses (61.5%) were retired between 15 and 24 years of age, with health problems being the main reason. Age, female sex, Thoroughbred breed and various medical conditions were identified as risk factors for retirement. In working horses (i.e., those not retired or semi-retired), exercise intensity was negatively associated with age. The owner-reported prevalence of low muscle mass in all horses was 17.2% (95%CI = 15.7-18.7). In those affected by low muscle mass, the ability to work and welfare-related aspects were commonly perceived to be impaired. Increasing age, sex (gelding), pituitary pars intermedia dysfunction, osteoarthritis, laminitis and primary use (retired and semi-retired vs. use for competition) were identified as risk factors for owner-reported low muscle mass. Potential response, recall and sampling bias. Causal relationships cannot be established. Although structured exercise into old age may provide health benefits (as seen in elderly people), a large proportion of horses were fully retired in the current study. Senior horses were mainly retired for health problems and characterising these problems may aid in extending their work/active life. Low muscle mass was perceived to affect horses' welfare and ability to work, and identification of prevention and treatment strategies is therefore warranted.

Low muscle mass, malnutrition, sarcopenia, and associations with survival in adults with cancer in the UK Biobank cohort.

Low muscle mass (MM) is a common component of cancer-related malnutrition and sarcopenia, conditions that are all independently associated with an increased risk of mortality. This study aimed to (1) compare the prevalence of low MM, malnutrition, and sarcopenia and their association with survival in adults with cancer from the UK Biobank and (2) explore the influence of different allometric scaling (height [m2 ] or body mass index [BMI]) on low MM estimates. Participants in the UK Biobank with a cancer diagnosis within 2years of the baseline assessment were identified. Low MM was estimated by appendicular lean soft tissue (ALST) from bioelectrical impedance analysis derived fat-free mass. Malnutrition was determined using the Global Leadership in Malnutrition criteria. Sarcopenia was defined using the European Working Group on Sarcopenia in Older People criteria (version 2). All-cause mortality was determined from linked national mortality records. Cox-proportional hazards models were fitted to estimate the effect of low MM, malnutrition, and sarcopenia on all-cause mortality. In total, 4122 adults with cancer (59.8±7.1years; 49.2% male) were included. Prevalence of low MM (8.0% vs. 1.7%), malnutrition (11.2% vs. 6.2%), and sarcopenia (1.4% vs. 0.2%) was higher when MM was adjusted using ALST/BMI compared with ALST/height2 , respectively. Low MM using ALST/BMI identified more cases in participants with obesity (low MM 56.3% vs. 0%; malnutrition 50% vs. 18.5%; sarcopenia 50% vs. 0%). During a median 11.2 (interquartile range: 10.2, 12.0) years of follow up, 901 (21.7%) of the 4122 participants died, and of these, 744 (82.6%) deaths were cancer-specific All conditions were associated with a higher hazard of mortality using either method of MM adjustment: low MM (ALST/height2 : HR 1.9 [95% CI 1.3, 2.8], P=0.001; ALST/BMI: HR 1.3 [95% CI 1.1, 1.7], P=0.005; malnutrition (ALST/height2 : HR 2.5 [95% CI 1.1, 1.7], P=0.005; ALST/BMI: HR 1.3 [95% CI 1.1, 1.7], P=0.005; sarcopenia (ALST/height2 : HR 2.9 [95% CI 1.3, 6.5], P=0.013; ALST/BMI: HR 1.6 [95% CI 1.0, 2.4], P=0.037). In adults with cancer, malnutrition was more common than low MM or sarcopenia, although all conditions were associated with a higher mortality risk, regardless of the method of adjusting for MM. In contrast, adjustment of low MM for BMI identified more cases of low MM, malnutrition, and sarcopenia overall and in participants with obesity compared with height adjustment, suggesting it is the preferred adjustment.

Assessment of muscle mass and bone density in elderly patients with type 2 diabetes mellitus depending on the level of glycated hemoglobin

Aim to assess the prevalence of low muscle mass and low bone density in elderly patients with type 2 diabetes (T2DM), depending on the level of glycated hemoglobin (HbA1c).&#x0D; Material and methods.The study included 187 patients (mean age 65.16 4.31 years), who were tested for fasting blood glucose, HbA1c, osteocalcin (OC), procollagen type 1 N-terminal propeptide (P1NP), C-terminal type I collagen telopeptides (B-CTX), 25-hydroxyvitamin D, body composition and bone mineral density.&#x0D; Results.The prevalence of low muscle mass, osteopenia, and osteoporosis in elderly patients with T2DM was 35.8%, 38.5%, and 30.5%, respectively. The prevalence of low muscle mass was significantly higher in women with HbA1c 9.0% (p =0.035). Osteopenia and osteoporosis prevailed in men with HbA1c 9.0% (p=0.007 and p=0.048, respectively). The appendicular skeletal muscle index (ASMI), bone mineral content (BMC) and bone mineral density (BMD) of the lumbar spine, BMC and BMD of the thigh were significantly reduced in the osteoporosis and osteopenia groups (p0.05); while B-CTX, P1NP were significantly increased. In men, both ASMI (p=0.007) and P1NP levels (p=0.001) were important risk factors for osteopenia/osteoporosis, and in women such risk factor was ASMI (p=0.019).&#x0D; Conclusion.In T2DM patients, the high HbA1c levels were associated with higher rates of low muscle mass in women and osteoporosis in men, and ASMI was a risk factor for osteoporosis in both sexes.

Muscular involvement in long-term type 1 diabetes: Does it represent an underestimated complication?

ObjectivesStructural, metabolic, and functional signs of skeletal muscle damage have been identified in individuals affected by type 1 diabetes (T1D), but, to our knowledge, no guidelines for the diagnosis and treatment of muscle impairment exist and studies on T1D and muscle health remain limited. The aim of this study was to evaluate the prevalence of sarcopenia in a long-term T1D population and to assess the effects of some clinical parameters on muscle mass and function. MethodsThirty-nine patients affected by T1D were enrolled. Body mass index (BMI), body composition (appendicular lean mass index [ALMI] and fat mass [FM]), and muscle strength were measured. Additionally, the relationship between Mediterranean diet adherence and sarcopenia was assessed. ResultsIn the present sample (mean age 49.32 ± 13.49 y, 41.1% women, mean duration of diabetes 30.13 ± 12.28 y), the prevalence of sarcopenia was 7.7% (12.5 % in women and 4.35% in men). The prevalence of low ALMI was 23.1% (25% in women and 21.74% in men). Significant inverse correlations were found between ALMI and duration of diabetes and ALMI and FM; and significant positive correlations between ALMI and BMI, physical activity level, and muscle strength. At the same time, significant inverse correlations were observed between muscle strength and duration of diabetes and muscle strength and FM. ConclusionsWe observed a high prevalence of low muscle mass, similar to those found in the older age groups of the general population (25 years in advance) and our findings suggest a possible pathogenetic role of T1D duration on muscle trophism and function.

The correlation of triglyceride/high-density lipoprotein cholesterol ratio with muscle mass in type 2 diabetes patients

ObjectiveTriglyceride/high-density lipoprotein cholesterol (TG/HDL-C) ratio is correlated with metabolic diseases. The prevalence of sarcopenia is significantly higher in type 2 diabetes mellitus (T2DM) patients compared with healthy controls. The purpose of our study is to evaluate the correlation of TG/HDL-C ratio with muscle mass in T2DM patients.MethodOur study consists of 1048 T2DM inpatients recruited from the department of endocrinology. Skeletal muscle index (SMI) was detected with a dual energy X-ray absorptiometry method. Low muscle mass was diagnosed using the criteria of SMI less than 7.0 kg/m2 (in male subjects) or 5.4 kg/m2 (in female subjects).ResultThe prevalence of low muscle mass was 20.9% and 14.5% in male and female groups respectively. SMI was correlated with TG/HDL ratio after adjustment for age, duration of diabetes, diastolic blood pressure (DBP), and HbA1c in male subgroup. In female subgroup, SMI was associated with TG/HDL ratio after adjustment for age and DBP.ConclusionHigher TG/HDL-C ratio is correlated with muscle mass in T2DM patients.

Effects of exercise habits in adolescence and older age on sarcopenia risk in older adults: the Bunkyo Health Study.

Sarcopenia, defined as an age-associated loss of skeletal muscle mass and function, is a major risk factor for requiring long-term care. Because physical activity in adolescence and older age enhances peak muscle function in youth and prevents muscle function decline in older age, older adults with exercise habits during both periods may be at a lower risk for sarcopenia. We investigated the relationship between exercise habits in adolescence and older age and sarcopenia and its components in community-dwelling older Japanese adults. This study included 1607 community-dwelling individuals (aged 65-84, medians 73years, 679 men and 928 women) with complete health examinations, including measurements of skeletal muscle index, handgrip strength and gait speed, who were enrolled in the Bunkyo Health Study. We divided the participants into four groups according to exercise habits in adolescence and older age: no exercise in either period (none-none; NN), exercise only in adolescence (active-none; AN), exercise only in older age (none-active; NA) and exercise in both periods (active-active; AA). Multivariate-adjusted logistic regression models were used to estimate the odds ratios (ORs) and associated 95% confidence intervals (CIs) in each group for the prevalence of sarcopenia, defined as low muscle mass and low muscle performance, as compared with the NN group. Low muscle performance was defined as low muscle strength and/or low gait speed. The total prevalence of sarcopenia was 6.6% (45/679) in men and 1.7% (16/928) in women, the total prevalence of low muscle mass was 14.3% (97/679) in men and 5.2% (48/928) in women, and the total prevalence of low muscle performance was 25.6% (174/679) in men and 19.6% (182/928) in women. In men, the ORs (95% CIs) for sarcopenia, low muscle mass and low muscle performance were significantly lower in the AA group (sarcopenia: 0.29 [0.09-0.95], P=0.041; low muscle mass: 0.21 [0.09-0.52], P=0.001; and low muscle performance: 0.52 [0.28-0.97], P=0.038). In women, the OR (95% CI) for low muscle performance was significantly lower in the AA group than in the other groups (0.48 [0.27-0.84], P=0.010), whereas none of the ORs for sarcopenia and low muscle mass were significant. Older men with exercise habits in both adolescence and older age were at a lower risk of sarcopenia, low muscle mass and low muscle performance, whereas older women with exercise habits at both time periods were at a lower risk of low muscle performance.

Difference of the association between low muscle mass and physical inactivity by sex resulting from the choice of the diagnostic criterion for low muscle mass in elderly Koreans.

We investigated the difference in the relationship between physical activity and low muscle mass resulting from the choice of diagnostic criterion for low muscle mass. Our study was cross-sectional, using data from the 2008-2011 National Health and Nutrition Examination Survey. Muscle mass was measured by dual-energy X-ray absorptiometry. Low muscle mass was defined as height-adjusted and weight-adjusted low muscle mass. Odds ratios (ORs) and 95% confidence intervals (CIs) of low muscle mass in relation to physical inactivity were analyzed using multivariate logistic regression analysis. Our study included 3977 older people (1698 men and 2279 women). The prevalence of height-adjusted and weight-adjusted low muscle mass was 4.1% and 11.8%, respectively, in the physically inactive group, and 3.9% and 7.9%, respectively, in the physically active group. The prevalence of weight-adjusted low muscle mass increased by 48% in the physically inactive group in the fully adjusted model (OR, 1.48; 95% CI, 1.13-1.95) and increased by 61% in men and 50% in women (men: OR, 1.61; 95% CI, 1.12-2.31 and women: OR, 1.50; 95% CI, 1.20-2.20) compared with the physically active group. The risk of height-adjusted low muscle mass in men tended to be higher in the physically inactive group than in the physically active group. However, this trend was not observed among women. Physical inactivity was associated with an increased prevalence of low muscle mass in weight-adjusted measures among elderly adults in Korea. Height-adjusted low muscle mass in women is less useful as an indicator of the relationship between low muscle mass and physical inactivity. Geriatr Gerontol Int 2023; 23: 71-77.

The prevalence of low muscle mass associated with obesity in the USA

BackgroundSarcopenia is defined as age-related low muscle mass and function, and can also describe the loss of muscle mass in certain medical conditions, such as sarcopenic obesity. Sarcopenic obesity describes loss of muscle and function in obese individuals; however, as sarcopenia is an age-related condition and obesity can occur in any age group, a more accurate term is obesity with low lean muscle mass (OLLMM). Given limited data on OLLMM (particularly in those aged < 65 years), the purpose of this study was to estimate the prevalence of OLLMM in adults aged ≥ 20 years in the USA.MethodsData from the National Health and Nutrition Examination Survey (NHANES) 2017–2018 and 1999–2006 were used. OLLMM was defined as an appendicular lean mass, adjusted for body mass index (BMI), cut-off point < 0.789 for males and < 0.512 for females, measured by dual-energy X-ray absorptiometry (DXA). DXA was only measured in individuals 20–59 years old in NHANES 2017–2018; we therefore utilized logistic regression models to predict OLLMM from NHANES 1999–2006 for those aged ≥ 60 years. The prevalence of OLLMM was estimated overall, and by sex, age, race/ethnicity, and clinical subgroup (high BMI, prediabetes, type 2 diabetes mellitus [T2DM], non-alcoholic fatty liver disease [NAFLD] with fibrosis, or post-bariatric surgery). Prevalence estimates were extrapolated to the USA population using NHANES sampling weights.ResultsWe estimated that, during 2017–2018, 28.7 million or 15.9% of the USA population had OLLMM. The prevalence of OLLMM was greater in older individuals (8.1%, aged 20–59 years vs 28.3%, aged ≥ 60 years), highest (66.6%) in Mexican-American females aged ≥ 60 years, and lowest (2.6%) in non-Hispanic Black males aged 20–59 years. There was a higher prevalence of OLLMM in adults with prediabetes (19.7%), T2DM (34.5%), NAFLD with fibrosis (25.4%), or post-bariatric surgery (21.8%), compared with those without each condition.ConclusionsOverall, the burden of OLLMM in the USA is substantial, affecting almost 30 million adults. The prevalence of OLLMM increased with age, and among those with prediabetes, T2DM, NAFLD with fibrosis, or post-bariatric surgery. A unified definition of OLLMM will aid diagnosis and treatment strategies.

The prevalence of sarcopenia and cachexia in older patients with localized colorectal cancer

IntroductionThe incidence of colorectal cancer (CRC) increases with age. In combination with an ageing population, the number of older patients undergoing surgical treatment for CRC is therefore expected to increase. Sarcopenia and cachexia are potentially modifiable risk factors of a negative surgical outcome. Sarcopenia can be categorized into primary (age-related) and secondary where diseases, such as malignancy, are influential factors. We aimed to investigate the prevalence of preoperative sarcopenia and cachexia in older (≥65 years) vulnerable patients with localized CRC. Materials and MethodsPatients included in the randomized study “Geriatric assessment and intervention in older vulnerable patients undergoing resection for colorectal cancer,” were screened for sarcopenia and cachexia prior to surgery. All patients in the present cohort were considered vulnerable with Geriatric 8 ≤ 14 points. Sarcopenia was defined according to European Guidelines (EWGSOP2), based on low muscle strength—low handgrip-strength and/or slow 5xChair-Stand-Test—and low appendicular lean mass assessed by dual-energy X-ray absorptiometry. Cachexia was defined as self-reported unintended weight loss >5% within three months or 2–5% with body mass index <20 kg/m2. ResultsSixty-four patients (mean age 79.6 years ±6.4 years, 36 women) were assessed. Of these, 28% (n = 18, 11 women) had low muscle strength and 13% (n = 8, 4 women) fulfilled the criteria for sarcopenia, however, 33% (n = 21, 13 women) had low muscle mass. There was no correlation between low muscle strength and low muscle mass (r = 0.16, P = 0.22). The prevalence of cachexia was 36% (n = 23, 16 women). Low muscle mass was associated with cachexia (φ = 0.38, P = 0.005), but there was no association between sarcopenia and cachexia (φ = 0.01, P = 1.0). DiscussionDespite the included patients who fulfilled the criteria for vulnerability according to G8, relatively few (28%) had low muscle strength. Moreover, there was poor overlap between the prevalence of sarcopenia according to the EWGSOP2 guidelines (13%) and prevalence of low muscle mass (33%) in older patients with CRC. Of note also, there was no association between sarcopenia and cachexia, but an association between cachexia and low muscle mass, which highlights the importance of assessing muscle mass in patients with cancer.Trial registration: The GEPOC trial has been prospectively registered at http://clinicaltrials.gov (NCT03719573).

Loss of muscle mass in women with premature ovarian insufficiency as compared with healthy controls.

Menopausal transition has been known to be associated with the loss of muscle mass. However, muscle health in women with premature menopause, that is, premature ovarian insufficiency (POI), remains unclear. We aimed to investigate and compare muscle mass parameters and the prevalence of low muscle mass between patients with spontaneous POI and healthy controls. In this cross-sectional study, 59 women with spontaneous POI and 57 premenopausal controls with normal ovarian function were enrolled at the Women's Hospital, Zhejiang University School of Medicine (Hangzhou, China) from June 17, 2020, to August 20, 2021. Muscle mass parameters were measured by dual-energy x-ray absorptiometry, and low muscle mass was diagnosed using the Asian Working Group for Sarcopenia criteria. In addition, participants provided their sociodemographic data, menstrual and reproductive history, lifestyle factors, and medical history. Multivariate linear regression analysis was conducted. Muscle mass parameters, including appendicular skeletal muscle mass (ASM), ASM/height2, ASM/weight, ASM/body mass index, total skeletal muscle mass (TSM), and TSM/weight, were significantly lower in women with POI as compared with healthy controls (ASM: 14.62 ± 2.08 vs 15.97 ± 1.78, P < 0.001; ASM/height2: 5.71 ± 0.64 vs 6.15 ± 0.62, P < 0.001; ASM/weight: 0.27 [0.25, 0.28] vs 0.28 [0.27, 0.29], P = 0.002; ASM/BMI: 0.68 ± 0.07 vs 0.73 ± 0.06, P = 0.001; TSM: 33.85 ± 4.08 vs 36.43 ± 3.56, P < 0.001; TSM/weight: 0.63 [0.59, 0.65] vs 0.64 [0.61, 0.67], P = 0.02). The prevalence of low muscle mass in POI patients was significantly higher than that in controls (32.20% vs 8.77%, χ2 = 9.70, P = 0.002). Furthermore, multivariate linear regression analyses demonstrated that POI status was an independent risk factor for ASM (β = -1.13; 95% CI, -1.62 to -0.65), ASM/height2 (-0.35, -0.47 to -0.22), ASM/weight (-0.01, -0.02 to -0.009), ASM/BMI (-0.05, -0.07 to -0.02), TSM (-2.16, -3.14 to -1.17), and TSM/weight (-0.03, -0.04 to -0.02). Women with POI exhibit significant loss of muscle mass as compared with healthy controls. Early diagnosis and long-term health management in POI patients are important.