Association between sarcopenia and nutritional status and physical activity among community-dwelling Chinese adults aged 60 years and older

An Artificial Intelligence Approach for Test-Free Identification of Sarcopenia

BACKGROUND

The diagnosis of sarcopenia relies extensively on human and equipment resources and requires individuals to personally visit medical institutions. The objective of this study was to develop a test-free, self-assessable approach to identify sarcopenia by utilizing artificial intelligence techniques and representative real-world data.

METHODS

This multicentre study enrolled 11 661 middle-aged and older adults from a national survey initialized in 2011. Follow-up data from the baseline cohort collected in 2013 (n = 9403) and 2015 (n = 10 356) were used for validation. Sarcopenia was retrospectively diagnosed using the Asian Working Group for Sarcopenia 2019 framework. Baseline age, sex, height, weight and 20 functional capacity (FC)-related binary indices (activities of daily living = 6, instrumental activities of daily living = 5 and other FC indices = 9) were considered as predictors. Multiple machine learning (ML) models were trained and cross-validated using 70% of the baseline data to predict sarcopenia. The remaining 30% of the baseline data, along with two follow-up datasets (n = 9403 and n = 10 356, respectively), were used to assess model performance.

RESULTS

The study included 5634 men and 6027 women (median age = 57.0 years). Sarcopenia was identified in 1288 (11.0%) individuals. Among the 20 FC indices, the running/jogging 1 km item showed the highest predictive value for sarcopenia (AUC [95%CI] = 0.633 [0.620-0.647]). From the various ML models assessed, a 24-variable gradient boosting classifier (GBC) model was selected. This GBC model demonstrated favourable performance in predicting sarcopenia in the holdout data (AUC [95%CI] = 0.831 [0.808-0.853], accuracy = 0.889, recall = 0.441, precision = 0.475, F1 score = 0.458, Kappa = 0.396 and Matthews correlation coefficient = 0.396). Further model validation on the temporal scale using two longitudinal datasets also demonstrated good performance (AUC [95%CI]: 0.833 [0.818-0.848] and 0.852 [0.840-0.865], respectively). The model's built-in feature importance ranking and the SHapley Additive exPlanations method revealed that lifting 5 kg and running/jogging 1 km were relatively important variables among the 20 FC items contributing to the model's predictive capacity, respectively. The calibration curve of the model indicated good agreement between predictions and actual observations (Hosmer and Lemeshow p = 0.501, 0.451 and 0.374 for the three test sets, respectively), and decision curve analysis supported its clinical usefulness. The model was implemented as an online web application and exported as a deployable binary file, allowing for flexible, individualized risk assessment.

CONCLUSIONS

We developed an artificial intelligence model that can assist in the identification of sarcopenia, particularly in settings lacking the necessary resources for a comprehensive diagnosis. These findings offer potential for improving decision-making and facilitating the development of novel management strategies of sarcopenia.

Low geriatric nutritional risk index is associated with osteosarcopenia in older patients with type 2 diabetes mellitus

BACKGROUND

The association between the geriatric nutritional risk index (GNRI) and osteosarcopenia in older adults with type 2 diabetes mellitus (T2DM) is not clear.

METHODS

A total of 573 individuals with T2DM were included in this cross-sectional study. Osteosarcopenia was defined as the presence of both osteoporosis and sarcopenia. Appendicular skeletal muscle mass and bone mineral density (BMD) was measured by dual energy X-ray absorptiometry to diagnose sarcopenia and osteoporosis. Multivariate analyses were used to assess the association between Geriatric Nutritional Risk Index (GNRI) and osteosarcopenia.

RESULTS

The patients were divided into four groups: robust (n = 367), osteoporosis alone (n = 154), sarcopenia alone (n = 29), and osteosarcopenia (n = 23). The GNRI was the lowest in osteosarcopenia group and was positively correlated with skeletal muscle index (SMI) (r = 0.122, p = 0.004), grip strength (r = 0.154, p < 0.001), gait speed (r = 0.123, p = 0.004), and BMD of lumbar spine 2-4, femoral neck, and total hip (r = 0.137, p = 0.002; r = 0.096, p = 0.028; r = 0.086, p = 0.049, respectively). In the logistic regression model low GNRI was significantly associated with an increased risk of osteosarcopenia (adjusted OR, 4.164; 95% CI, 1.283-13.514, p = 0.018). Age provided a discriminatory effect of osteosarcopenia with an area under the curve (AUC) of 0.764. When GNRI values were added to the model, the value of the ROC curve was further improved, with an AUC of 0.842.

CONCLUSION

Low GNRI was associated with an increased risk of osteosarcopenia in older adults with T2DM. Comprehensive clinical evaluation of nutritional status by a simple tool such as GNRI might be helpful for early identification of those at high risk for osteosarcopenia in older diabetic individuals.

The prevalence of sarcopenia and risk factors in the older adult in China: a systematic review and meta-analysis

Background

Understanding the epidemiological information of a certain disease is the first step in related prevention and control work. This article aims to understand the prevalence and associated risk factors of sarcopenia among the older adult (≥60 years old) in China and to provide an evidence-based basis for early identification, management, and prevention of sarcopenia patients.

Methods

We searched seven databases: CNKI, Wanfang, VIP, PubMed, Web of Science, Embase, and Cochrane Library databases from the establishment of the database until January 31, 2024. The Quality evaluation criteria of cross-sectional studies recommended by the Agency for Healthcare Research and Quality (AHRQ) were used for literature quality evaluation. Stata 18.0 software was used for statistical analysis.

Results

We finally included 45 studies, involving a total of 37,571 cases. After statistical analysis, we found that the prevalence of sarcopenia among the older adult in China was 20.7% [95% CI (18.3, 23.0%)]. The results of subgroup analysis suggest that: ① According to gender, the prevalence rate of sarcopenia in women (21.6%) is higher than that in men (19.2%); ② According to age, the prevalence rate of older adult people aged ≥80 (45.4%) was the highest, followed by 70-79 (27.2%) and 60-69 (15.7%). ③ According to region, the prevalence rate of the older adult in the south (21.7%) is higher than that in the north (19.0%); ④ According to the time of publication, the prevalence of sarcopenia among the older adult in China has increased (from 19.2% in 2014-2018 to 21.4% in 2019-2024); ⑤ According to the diagnostic criteria, the detection rate of AWGS (2019) is higher than that of AWGS (2014) (24.5% vs. 19.3%). Finally, aging, low BMI, low leg circumference, smoking, depression, osteoporosis, malnutrition and malnutrition risk are all risk factors for sarcopenia among the older adult in China.

Conclusion

The prevalence of sarcopenia in the older adult in China was higher (20.7%), which should be paid attention to by relevant health authorities. In addition, aging, low BMI, low calf circumference, smoking, depression, osteoporosis, malnutrition and malnutrition risk are risk factors for the development of sarcopenia in the older adult in China. For these high-risk populations, early identification, prevention, and intervention can be carried out to delay the occurrence and progression of sarcopenia.

Association between sarcopenia and hemoglobin level: a systematic review and meta-analysis

Background

Sarcopenia is a disease characterized by decreased skeletal muscle mass and function in elderly individuals. Decreased hemoglobin levels is a marker of anemia. According to reports, there may be an association between anemia and sarcopenia, but research is inconsistent. Therefore, this meta-analysis aims to explore the association between sarcopenia and low hemoglobin levels.

Methods

We searched PubMed, Embase, the Cochrane Library, Web of Science, Ovid, China National Knowledge Infrastructure (CNKI), and Wan Fang databases until September 2022. The present study included cross-sectional and case-control studies regarding low hemoglobin levels and sarcopenia. The studies were selected using inclusion and exclusion criteria. Studies were meta-analyzed by Review Manager 5.4 and Stata 16.0. We performed the heterogeneity test using the I 2 test. Subgroup analysis was carried out to explore the cause of heterogeneity. Egger test was used to evaluate publication bias.

Results

Out of 1,550 initial studies, 16 studies were meta-analyzed. Sarcopenia participants had significantly lower levels of hemoglobin than controls (MD = -0.53, 95% CI: -0.68 to -0.37, p < 0.001). Subgroup analysis, performed in China population reported lower hemoglobin levels in the sarcopenia population (MD = -0.49, 95% CI: -0.65 to -0.33, p < 0.001). And sarcopenia based on AWGS criteria reported lower hemoglobin levels (MD = -0.49, 95% CI: -0.65 to -0.33, p < 0.001). Among the population from hospitals and communities, patients with sarcopenia have lower hemoglobin levels.

Conclusion

Our meta-analysis found evidence that sarcopenia is associated with low hemoglobin levels. However, further large-scale prospective studies should be conducted in the future to further confirm our conclusions.

Systematic review registration

PROSPERO, CDR42024532252.

Relationships Between the Apolipoprotein Levels and Sarcopenia in Inpatients with Type 2 Diabetes Mellitus: A Cross-Sectional Study

Background

Apolipoprotein (Apo) may be associated with sarcopenia in elderly inpatients with type 2 diabetes mellitus (T2DM), but fewer studies are available. In this study, we explored the association of ApoA1, ApoB, and ApoB/ApoA1 with sarcopenia and compared the predictive role of Apo indicators for sarcopenia in an elderly T2DM.

Objective

To investigate the relationships between the Apo and sarcopenia in elderly inpatients with T2DM.

Methods

This study included 253 inpatients with T2DM (mean age of 70.11±5.44 years, 32.8% male). The inpatients were divided into the sarcopenic group (n = 100) and non-sarcopenic group (n = 153). The associations among the Apo and sarcopenia were assessed using multivariate analyses.

Results

Inpatients in the sarcopenia group showed lower ApoA1 levels than those in the non-sarcopenia group (1.25±0.21 vs 1.36±0.20 g/L, P < 0.05) and showed higher ApoB/ApoA1 and ApoB levels than those in the non-sarcopenia group (0.82±0.27 vs 0.69±0.19 g/L, P < 0.05;1.00±0.32 vs 0.93±0.24 g/L, P < 0.05, respectively). After adjusting for age and BMI, the logistic regression model indicated that ApoA1 was a protective factor for elderly inpatients with T2DM sarcopenia.(OR =0.079,95% CI: 0.021~0.306, P < 0.05);ApoB and AopB/AopA1 were risk factors for elderly inpatients with T2DM sarcopenia.(OR =3.578,95% CI:1.318~9.715, P < 0.05;OR =16.440,95% CI:4.437~60.427, P < 0.05, respectively). AopB/AopA1 provided an AUC value of 0.765 in elderly men.(95% CI: 0.665~0.866, P<0.05).

Conclusion

ApoA1, AopB, and AopB/AopA1 are associated with sarcopenia in elderly inpatients with T2DM, and AopB/AopA1 may be a potential predictor of sarcopenia in elderly men with T2DM.

Sarcopenia and poor nutritional status in older adults

BACKGROUND & AIMS

The association between sarcopenia and malnutrition has been poorly studied in the older population. The purpose of this study is to address the association between sarcopenia, according to different validated definitions, and nutritional status in a large population of community-dwelling older adults.

METHODS

Observational, cross-sectional study of the Geriatric Frailty Clinic (GFC) for Assessment of Frailty and Prevention of Disability, held by the "Gérontopôle" of the Toulouse University Hospital. Patients aged above 65 years who benefitted from a Dual X-ray Densitometry (DXA) during their assessment at the GFC from June 5th 2013 to January 28th 2020 were included. Sarcopenia was defined according to proposed validated definitions. The Mini Nutritional Assessment (MNA) was used to stratify nutritional status, and identify patients with a poor nutritional status (at risk of malnutrition or malnourished, MNA <24). Multiple logistic regression analyses were performed between MNA and each sarcopenia definition adjusted for confounders.

RESULTS

Among the 938 patients with DXA data, a total of 809 (86.2 %) subjects were included in the analysis (mean age 81.8 ± 6.9 years, 527 females (65.1 %)). Prevalence of sarcopenia ranged from 12.6 % to 44.9 %, according to various definitions. Overall 244 (30.2 %) of the patients had a poor nutritional status (MNA-score <24), Baumgartner and Newman definitions of sarcopenia were both associated with low MNA-scores (OR = 4.69, CI 3.15-6.98 and OR = 2.30, CI 1.55-3.14, respectively), EWGSOP2 "confirmed sarcopenia" definition was also associated with low MNA-scores (OR = 3.68, CI 2.30-5.89), as well as for the lean mass definition according EWGSOP2 cut-off (OR 5.22 CI 3.52-7.73). Both FNIH and EWGSOP2 "probable sarcopenia" definitions were not associated with the risk of malnutrition.

CONCLUSIONS

In this study, the prevalence of sarcopenia ranged from 12.6 to 44.9 % according to various definitions. A score of MNA under 24, was associated with almost all of the sarcopenia definitions. This study reinforces the concept that malnutrition and sarcopenia are strictly related. When facing malnutrition in daily clinical practice, body composition should be assessed and the proposed nutritional intervention should be tailored by these results in order to prevent the onset of late-life disability.

Sarcopenia and risk factors among Japanese community-dwelling older adults during the COVID-19 pandemic: A cross-sectional study

The COVID-19 pandemic exposed older adults to high risk of sarcopenia. This study aimed to investigate the prevalence of sarcopenia and its risk factors among Japanese community-dwelling older adults during the COVID-19 pandemic. We collected data through questionnaires and physical measurements among 242 older adults. Sarcopenia was assessed using the Asian Working Group for Sarcopenia 2019 criteria. The results revealed that 14.5% had sarcopenia, which was significantly associated with age, nutritional status, number of prescription medications, body mass index, and self-rated health. On multivariate analysis, the risk of malnutrition was independently significantly associated with sarcopenia. Approximately 70% of participants reported decreased social interaction and going outside, but with no significant association with sarcopenia. In addition, approximately 65% of the participants had an exercise habit and went outside at least once a week, thus maintaining a good level of activity. These findings suggest that prevention of sarcopenia during the pandemic required provision of opportunities for older adults to remain active and positive assessment of nutritional status and well-being.

Physical Activity, Sedentary Behavior, Fruit and Vegetable Consumption, and Sarcopenia in Older Chinese Adults: A Cross-Sectional Study

PURPOSE

The purpose of this study was to investigate the association between moderate to vigorous physical activity (MVPA), sedentary behavior, fruit and vegetable intake, and the risk of sarcopenia among older Chinese adults.

METHODS

This cross-sectional study enrolled 5418 older Chinese adults who participated in the Study on Global Aging and Adult Health (SAGE). Participants reported information about their physical activity, sedentary behavior, and dietary habits (fruit and vegetable intake). Sarcopenia was defined as the presence of low skeletal muscle mass and either a slow gait speed or weak handgrip strength. A multiple logistic regression model was employed to determine the relationship between MVPA, sedentary behavior, fruit and vegetable intake, and the risk of sarcopenia.

RESULTS

Only 32.63% of participants met all three recommendations (for MVPA, sedentary behavior, and fruit and vegetable intake). Compared with meeting none of the recommendations, meeting all three recommendations was associated with a lower risk of sarcopenia (OR = 0.63, 95% CI = 0.41-0.98). Moreover, meeting the recommendation for sufficient fruit and vegetable intake (OR = 0.69, 95% CI = 0.58-0.83), MVPA and fruit/vegetable intake (OR = 0.67, 95% CI = 0.52-0.86), and sedentary behavior and fruit/vegetable intake (OR = 0.69, 95% CI = 0.48-0.98) was associated with a lower risk of sarcopenia.

CONCLUSION

Our findings indicate that in this large representative sample of older Chinese adults, meeting lifestyle recommendations for MVPA, sedentary behavior, and fruit and vegetable intake protected against sarcopenia.

A Nomogram for Optimizing Sarcopenia Screening in Community-dwelling Older Adults: AB3C Model

OBJECTIVES

Sarcopenia is associated with significantly higher mortality risk, and earlier detection of sarcopenia has remarkable public health benefits. However, the model that predicts sarcopenia in the community has yet to be well identified. The study aimed to develop a nomogram for predicting the risk of sarcopenia and compare the performance with 3 sarcopenia screen models in community-dwelling older adults in China.

DESIGN

Cross-sectional study.

SETTING AND PARTICIPANTS

A total of 966 community-dwelling older adults.

METHODS

A total of 966 community-dwelling older adults were enrolled in the study, with 678 participants grouped into the Training Set and 288 participants grouped into the Validation Set according to a 7:3 randomization. Predictors were identified in the Training Set by univariate and multivariate logistic regression and then combined into a nomogram to predict the risk of sarcopenia. The performance of this nomogram was assessed by calibration, discrimination, and clinical utility.

RESULTS

Age, body mass index, calf circumference, congestive heart failure, and chronic obstructive pulmonary disease were demonstrated to be predictors for sarcopenia. The nomogram (named as AB3C model) that was constructed based on these predictors showed excellent calibration and discrimination in the Training Set with an area under the receiver operating characteristic curve (AUC) of 0.930. The nomogram also showed perfect calibration and discrimination in the Validation Set with an AUC of 0.897. The clinical utility of the nomogram was supported by decision curve analysis. Comparing the performance with 3 sarcopenia screen models (SARC-F, Ishii, and Calf circumference), the AB3C model outperformed the other models regarding sensitivity and AUC.

CONCLUSIONS AND IMPLICATIONS

AB3C model, an easy-to-apply and cost-effective nomogram, was developed to predict the risk of sarcopenia, which may contribute to optimizing sarcopenia screening in community settings.

Hemoglobin level is negatively associated with sarcopenia and its components in Chinese aged 60 and above

Introduction

Sarcopenia and low hemoglobin level are common in older adults. Few studies have evaluated the association between hemoglobin level and sarcopenia and with inconsistent findings. The multifaceted effects of sarcopenia on the human body and the high prevalence of anemia in the Chinese population make it necessary to explore the association between the two.

Methods

Using the China Health and Retirement Longitudinal Study (CHARLS), we explored the association between hemoglobin with sarcopenia and its components in the Chinese population aged 60 and above. Multivariate logistic and Cox proportional hazards models were constructed to examine the association of hemoglobin level with sarcopenia and sarcopenia components in individuals aged 60 years or above. The subgroup analysis covered residence, body mass index level, drinking status, and smoking status were conducted. The possible difference of associations between sexes was also explored.

Results

With a total of 3,055 people, the hemoglobin concentration in people without sarcopenia, possible sarcopenia, and sarcopenia are 14.34 ± 2.22, 14.64 ± 2.27, and 13.58 ± 2.02 g/dl, respectively. Cross-sectional analysis showed strong evidence that hemoglobin was negatively associated with sarcopenia [Odds Ratio (OR) = 0.95, 95% Confidence Interval (CI): 0.90-0.99] and low height-adjusted appendicular skeletal muscle mass (OR = 0.91, 95% CI: 0.86-0.97). On average, a per 1 g/dl higher hemoglobin level was associated with 5% lower odds of sarcopenia (OR = 0.95, 95% CI: 0.90-0.98). The cohort study of 1,022 people demonstrated a statistically significant negative association of hemoglobin level with low physical performance [Hazard Ratio (HR) = 0.92, 95% CI: 0.85-0.99], merely with sarcopenia (HR = 0.92, 95% CI: 0.84-1.00) and skeletal muscle mass (HR = 0.95, 95% CI: 0.80-1.00). Sex-specific analysis suggested hemoglobin's association with sarcopenia, muscle mass, and physical performance in all sexes, with weaker magnitudes in females. Hemoglobin in urban residents and people with high body mass index (BMI) has a larger magnitude of the negative association with sarcopenia.

Discussion

Hemoglobin level associates with sarcopenia, muscle mass, and physical performance in the Chinese population aged 60 and above, with sex-specific, residence-specific, and BMI-specific effects.

Sarcopenia Prevalence and Associated Factors in Male Patients with Axial Spondyloarthritis

Background Sarcopenia is characterised by loss of muscle strength and mass, leading to falls and adverse health outcomes. Our aim was to determine the prevalence of sarcopenia in patients with axial spondyloarthritis (ax-SpA) and to identify factors associated with sarcopenia in these patients.

Methods This cross-sectional study included 120 male patients with ax-SpA and 100 healthy individuals matched for both sex and age. Sarcopenia was assessed by muscle strength, muscle mass and physical performance using the criteria determined by the Asian Working Group for Sarcopenia (AWGS). The ankylosing spondylitis disease activity score (ASDAS), laboratory indicators and bone mineral density were determined. Falls/fractures sustained over the prior year were evaluated. The association between sarcopenia and clinical characteristics was evaluated using logistic regression analyses.

Results According to the diagnostic criteria of AWGS 2019, the prevalence of sarcopenia, severe sarcopenia and possible sarcopenia was 20.8%, 9.2 and 16.7% higher than in the healthy control population (p<0.01). Factors associated with the prevalence of secondary sarcopenia in ax-SpA were ASDAS, serum levels of prealbumin and 25-(OH)D as well as the incidence of falls/fractures.

Conclusions Patients with ax-SpA have a high incidence of sarcopenia. The development of sarcopenia was associated with high ASDAS, reduced levels of prealbumin and 25-(OH)D as well as the incidence of falls/fractures.

Association between body fat and sarcopenia in older adults with type 2 diabetes mellitus: A cross-sectional study

OBJECTIVES

To investigate the association between body fat (BF%) and sarcopenia in older adults with type 2 diabetes mellitus (T2DM) and potential link with increased levels of inflammatory indicators and insulin resistance.

METHODS

A total of 543 older adults with T2DM were included in this cross-sectional study. Appendicular skeletal muscle (ASM), handgrip strength and gait speed were measured to diagnose sarcopenia according to the updated Asian Working Group for Sarcopenia (AWGS) 2019 criteria. Body composition data were tested using dual-energy X-ray absorptiometry (DEXA). Levels of serum high-sensitive C-reactive protein (hs-CRP), interleukin-6, fasting blood insulin (FINS), hemoglobin A1c (HbA1c), 25-hydroxyvitamin D₃ [25(OH) D₃] were also determined.

RESULTS

The prevalence of sarcopenia in all participants was 8.84%, of which 11.90% were male and 5.84% females. The Pearson's correlation analysis revealed that BF% was negatively correlated with gait speed in men and women (R =-0.195, P=0.001; R = -0.136, P =0.025, respectively). After adjusting for all potential confounders, sarcopenia was positive associated with BF% (male, OR: 1.38, 95% CI: 1.15-1.65, P< 0.001; female, OR: 1.30, 95% CI: 1.07-1.56, P=0.007), and negatively associated with body mass index (BMI) (male, OR: 0.57, 95% CI: 0.44-0.73, P<0.001; female, OR: 0.48, 95% CI: 0.33-0.70, P<0.001). No significant differences were found in hs-CRP, interleukin-6, and insulin resistance between older T2DM adults with and without sarcopenia.

CONCLUSION

Higher BF% was linked to an increased risk of sarcopenia in older adults with T2DM, suggesting the importance of assessing BF% rather than BMI alone to manage sarcopenia.

Sarcopenia is associated with the Geriatric Nutritional Risk Index in elderly patients with poorly controlled type 2 diabetes mellitus

AIMS/INTRODUCTION

Diabetes and sarcopenia have a two-way relationship with each other with advanced age. Additionally, malnutrition is correlated with a higher risk of sarcopenia in elderly patients. This study evaluated the association between sarcopenia and geriatric nutritional risk index (GNRI) in elderly patients with type 2 diabetes mellitus.

MATERIALS AND METHODS

Patients with type 2 diabetes mellitus aged ≥60 years were recruited from June 2018 to August 2020. This study analyzed 234 patients, who completed a physical performance test required for the diagnosis of sarcopenia. To investigate the effect of GNRI on sarcopenia, logistic regression analyses was used.

RESULTS

Patients with sarcopenia were significantly older with a lower body mass index (BMI) and GNRI compared with normal patients. The GNRI showed a positive correlation with the skeletal muscle index (SMI) and handgrip strength (SMI: R = 0.486, P < 0.001 for male; R = 0.589, P < 0.001 for female, handgrip strength: R = 0.470, P < 0.001 for male, R = 0.364, P < 0.001 for female). In the multivariate logistic regression model, a higher GNRI was associated with a lower risk of sarcopenia in older men and women with diabetes (adjusted odds ratio [OR], 0.892; 95% confidence interval [CI], 0.839-0.948 for male; adjusted OR, 0.928; 95% CI, 0.876-0.982 for female). One year of diabetes treatment improved the GNRI in the sarcopenia group with type 2 diabetes mellitus.

CONCLUSIONS

A low GNRI was associated with an increased risk of sarcopenia in elderly patients with type 2 diabetes mellitus. Treatment with glucose-lowering drugs improved the GNRI in the sarcopenia group.

Prevalence of and factors associated with sarcopenia among elderly individuals with hypertension

Purpose

Sarcopenia is a major health problem in community-dwelling elderly individuals. Hypertension is postulated to aggravate sarcopenia. The present study was performed to estimate the prevalence of and factors associated with sarcopenia among elderly individuals with hypertension.

Methods

This study involved 165 Chinese individuals with hypertension aged ≥60 years who were evaluated for sarcopenia using the Asian Working Group for Sarcopenia criteria. Data on their sociodemographic information, physical illnesses, and clinical and functional status were collected.

Results

The overall prevalence of sarcopenia among elderly individuals with hypertension was 20.2%. The factors significantly associated with sarcopenia were an age of ≥70 years (adjusted odds ratio (OR), 3.01; 95% confidence interval (CI), 1.17–5.39), diabetes (OR, 4.45; 95% CI, 1.32–11.16), osteoporosis (OR, 2.52; 95% CI, 1.13–5.37), drinking (OR, 3.28; 95% CI, 1.26–7.85), and a body mass index of 24.0 to 27.9 kg/m² (OR, 0.74; 95% CI, 0.59–0.91).

Conclusions

This study revealed a very high prevalence of sarcopenia among elderly individuals with hypertension (20.2%). Sarcopenia may be associated with advanced age, drinking, diabetes, the body mass index, and osteoporosis. The longitudinal relationship between clinic visits and sarcopenia should be further evaluated.

Screening for Sarcopenia among Elderly Arab Females: Influence of Body Composition, Lifestyle, Irisin, and Vitamin D

Sarcopenia is the loss of skeletal muscle mass, and is most common in older people. The present multi-center cross-sectional study aimed to determine the prevalence of sarcopenia and possible risk factors among Arab elderly females. A total of 131 ambulatory Saudi elderly females aged 60–85 years (mean age 65.9 ± 5.5 years) were recruited to participate. A general questionnaire with questions related to sociodemographic factors, medical history, diet, physical activity, and lifestyle was administered. Anthropometrics and muscle assessments were done. Fasting blood glucose and lipids were measured routinely. Circulating 25(OH)D and irisin levels were measured using commercially available assays. Sarcopenia was assessed using the criteria of the Asian Working Group for Sarcopenia (AWGS). Over-all prevalence of sarcopenia was 19.8% (26 out of 131 participants). Novel measures such as abdominal volume index (AVI), dietary fiber, and irisin were found to be significantly lower in the sarcopenia group than those without sarcopenia, independent of age. No associations were found with physical activity or dietary and lifestyle habits. In conclusion, sarcopenia is relatively common among Arab elderly females. Longitudinal studies are needed to determine whether lifestyle modifications can decrease the incidence of sarcopenia in this population. Irisin maybe a promising biomarker for sarcopenia but needs to be confirmed using larger sample sizes.

Association between Sarcopenia and Insulin-Like Growth Factor-1, Myostatin, and Insulin Resistance in Elderly Patients Undergoing Hemodialysis

Sarcopenia is common in hemodialysis patients, especially in the elderly patients undergoing hemodialysis. Various factors may contribute to the occurrence of sarcopenia, such as anabolic and catabolic imbalance. This study aims to investigate the correlation of insulin-like growth factor-1 (IGF-1) levels as an anabolic factor, myostatin levels, and insulin resistance as catabolic factors with sarcopenia in the pathogenesis of sarcopenia in elderly patients undergoing hemodialysis. A total of 40 subjects aged 60 years or more who undergoing hemodialysis in Dr. Soetomo Hospital Surabaya were included in this cross-sectional study. Sarcopenia was diagnosed according to Asian Working Group Sarcopenia 2019 criteria. IGF-1, myostatin, and insulin resistance levels were measured once before hemodialysis. Subjects with sarcopenia diagnosis were 33 (82.5%), that is, 19 (47.5%) men and 14 (35%) women. There were 28 (70%) of the subjects diagnosed with severe sarcopenia. Furthermore, there were significant differences in the characteristics and geriatric parameters between the sarcopenia and nonsarcopenia groups. There were differences between the two groups in hemoglobin levels, IGF-1 levels, myostatin levels, homeostasis model assessment-insulin resistance (HOMA-IR) levels, muscle mass, handgrip strength, body mass index status, mini nutritional assessment status, and physical activity scale for elderly status (all p < 0.05). Correlation analyses showed that IGF-1 levels negatively correlated with sarcopenia status in elderly patients undergoing hemodialysis (p < 0.05). On the contrary, myostatin and HOMA-IR levels were positively correlated with sarcopenia status in elderly patients undergoing hemodialysis (all p < 0.05). Based on this recent study, IGF-1, myostatin, and insulin resistance were significantly correlated with sarcopenia in elderly patients undergoing hemodialysis.

Cutoff Points for Grip Strength in Screening for Sarcopenia in Community-Dwelling Older-Adults: A Systematic Review

BACKGROUND

Currently, different cutoff points for handgrip strength (HGS) have been used to estimate the prevalence of sarcopenia. In addition, the variability of equipment and protocols for this assessment can significantly influence the early detection of this important public health problem. Thus, this review aims to identify the different cutoff points for HGS adopted for older men and women in screening for sarcopenia.

OBJECTIVES

this review aims to identify the different cutoff points for HGS adopted for older men and women in screening for sarcopenia.

METHODS

In accordance with the PRISMA 2020 recommendations, which included published studies from the last 10 years, from 6 databases, in 3 different languages.

RESULTS

19.730 references were identified, of which 62 were included for the review. All references analyzed used algorithms and definitions of sarcopenia already known in the literature. Of the studies found, 16 chose to develop cutoff values for HGS based on their own population. The variation in cutoff points was evident when compared between gender and regions of the world.

CONCLUSION

It has become evident that there is a variability of normative values for HGS in sarcopenia screening. In addition, this systematic review shows the difference in the cutoff points used between the consensuses and those developed for each population.

High Serum AST/ALT Ratio and Low Serum INS*PA Product Are Risk Factors and Can Diagnose Sarcopenia in Middle-Aged and Older Adults

BACKGROUND

Sarcopenia is an age-related clinical condition and associated with an increased risk of adverse outcomes. However, to date, there is no global standard for the diagnosis of sarcopenia, and fewer serum biomarkers have been suggested for the diagnosis of sarcopenia. It is, thus, important that sarcopenia-related serological diagnostic markers be explored. The present study was based on the Asian Working Group on Sarcopenia 2019 (AWGS 2019) criteria to assess whether aspartate aminotransferase/alanine aminotransferase (AST/ALT) ratio and fasting insulin*prealbumin (INS*PA) product are diagnostic markers associated with sarcopenia in various ethnic groups in western China.

METHODS

This cross-sectional study included 4,099 adults (1,471 men and 2,628 women) from the West China Health and Aging Trend (WCHAT) study. The value of serum biomarkers was based on laboratory data. The accompanying metabolic disorders and the associated parameters were evaluated. Logistic regression analysis was used to explore the association between markers and sarcopenia. Receiver operating characteristic curve (ROC) analysis was used to evaluate the diagnostic efficacy of the test in differentiating sarcopenia.

RESULTS

Binary regression analysis showed that high serum AST/ALT (OR = 2.247) and adrenal cortisol (PTC, OR = 1.511), low serum INS*PA (OR = 2.970), free triiodothyronine (FT3, OR = 1.313), 25-OH-VitD (VitD, in male participants, OR = 1.817), and diastolic blood pressure (DBP, in female subjects, OR = 1.250) were independent risk factors for sarcopenia (P < 0.05). AST/ALT and INS*PA were not affected by metabolic factors and had better diagnostic efficacy for sarcopenia. The AUC of the INS*PA was the highest (0.705, 0.706, and 0.701, respectively, P < 0.05), followed by that of the AST/ALT (0.680, 0.675, and 0.695, respectively, P < 0.05). The AUC of the AST/ALT/(INS*PA)*10,000 used to diagnose sarcopenia was 0.727.

CONCLUSION

Among middle-aged and older adults of multiple ethnicities in western China, we found that higher AST/ALT and lower INS*PA levels are associated with an increased prevalence of sarcopenia. Since these serum biomarkers are inexpensive and can be obtained easily from biochemical routine, regular follow-up of AST/ALT and INS*PA may be an effective strategy in sarcopenia screening and management.

Association between Geriatric Nutrition Risk Index and The Presence of Sarcopenia in People with Type 2 Diabetes Mellitus: A Cross-Sectional Study

The aim of this cross-sectional study was to examine the association between the geriatric nutritional risk index (GNRI) and the prevalence of sarcopenia in people with type 2 diabetes (T2DM). Having both low handgrip strength (<28 kg for men and <18 kg for women) and low skeletal muscle mass index (<7.0 kg/m2 for men and <5.7 kg/m2 for women) was diagnosed as sarcopenia. GNRI was estimated by the formula as below: GNRI = (1.489 × serum albumin level [g/L]) + (41.7 × [current body weight (kg)/ideal body weight (kg)]). Participants were dichotomized on the basis of their GNRI scores (GNRI < 98, low; or GNRI ≥ 98, high). Among 526 people (301 men and 225 women) with T2DM, the proportions of participants with sarcopenia and low GNRI were 12.7% (n = 67/526) and 5.1% (n = 27/526), respectively. The proportion of sarcopenia in participants with low-GNRI was higher than that with high GNRI (44.4% [n = 12/27] vs. 11.0% [n = 55/499], p < 0.001). The GNRI showed positive correlations with handgrip strength (r = 0.232, p < 0.001) and skeletal muscle mass index (r = 0.514, p < 0.001). Moreover, low GNRI was related to the prevalence of sarcopenia (adjusted odds ratio, 4.88 [95% confidence interval: 1.88-12.7], p = 0.001). The GNRI, as a continuous variable, was also related to the prevalence of sarcopenia (adjusted odds ratio, 0.89 [95% confidence interval: 0.86-0.93], p < 0.001). The present study revealed that low GNRI was related to the prevalence of sarcopenia.

Psychometric Properties of the Chinese Version of the Sarcopenia and Quality of Life, a Quality of Life Questionnaire Specific for Sarcopenia

A quality of life questionnaire specific to sarcopenia (SarQoL®) was successfully developed. There is a huge demand for translation and validation in Chinese. The aim of this study was to translate the SarQoL® into Chinese and investigate its psychometric properties. The translation and cross-cultural adaptation process recommended by the developers of the initial questionnaire was followed. A total of 159 participants were investigated. The translation process consists of five steps: (1) two bilinguals independently translate initial English to Chinese; (2) synthesize the two translations into one; (3) backward translations; (4) expert committee review and (5) test of the pre-final version. The validation consists of three parts: (1) validity (discriminative power, construct validity); (2) reliability (internal consistency, test-retest reliability) and (3) floor and ceiling effects. There was no difficulty in translation process. Regarding the validity, good discriminant validity {quality of life for sarcopenic subjects [35.56 (29.73-42.70)] vs. non-sarcopenic ones [73.22 (60.09-82.90)], p < 0.001} and consistent construct validity [high correlations (spearman's r) of SarQoL® with generic Short Form-36 version 2 questionnaire (0.250 to 0.824) and EuroQoL-5-Dimension questionnaire (- 0.114 to - 0.823)] were found in SarQoL®. Regarding reliability, high internal consistency (Cronbach's alpha coefficient was 0.867) and excellent test-retest reliability (intraclass coefficient correlation was 0.997, 95% CI 0.994-0.998) were found. No ceiling/floor effect was reflected. A valid SarQoL® questionnaire is now available for Chinese population. It can provide a better understanding of the sarcopenia disease burden and serve as a therapeutic outcome indicator in research.

Low prealbumin levels are associated with sarcopenia in older men with type 2 diabetes mellitus: A cross-sectional study

OBJECTIVES

The aim of this study was to evaluate the association between the serum levels of prealbumin and sarcopenia in older adults with type 2 diabetes mellitus.

METHODS

This cross-sectional study included 582 older adults with type 2 diabetes mellitus. Sarcopenia was defined based on the recently updated Asian Working Group for Sarcopenia 2019 criteria. Appendicular skeletal muscle was measured by dual energy x-ray absorptiometry. Serum levels of prealbumin, hemoglobin, hemoglobin A1c, and 25-hydroxyvitamin D₃ were also tested. Multivariate analyses were used to assess the association between prealbumin levels and sarcopenia, adjusted for potential confounders.

RESULTS

The overall prevalence of sarcopenia was 9%, of which 12% for men and 6% for women. Male participants with sarcopenia had lower prealbumin levels than those without sarcopenia (213 ± 72 versus 260 ± 56 mg/L, P < 0.001). The proportion of men with low prealbumin level (<170 mg/L) was significantly higher in individuals with sarcopenia than in those without (31% versus 6%, respectively). In a logistic regression model, after adjusting for all potential covariates, low prealbumin (odds ratio, 4.15; 95% confidence interval, 1.13-15.25; P = 0.03) was significantly associated with sarcopenia in men, but the relationship between prealbumin and sarcopenia was not found in women.

CONCLUSION

Low prealbumin levels were associated with an increased risk for sarcopenia in older men with T2DM.

Singapore multidisciplinary consensus recommendations on muscle health in older adults: assessment and multimodal targeted intervention across the continuum of care

BACKGROUND

The rapidly aging societies worldwide and in Singapore present a unique challenge, requiring an integrated multidisciplinary approach to address high-value targets such as muscle health. We propose pragmatic evidence-based multidisciplinary consensus recommendations for the assessment and multi-modal management of muscle health in older adults (≥65 years) across the continuum of care.

METHODS

The recommendations are derived from an in-depth review of published literature by a multidisciplinary working group with clinical experience in the care of the older population in both acute and community settings.

RESULTS

The panel recommends screening for muscle impairment using the SARC-F questionnaire, followed by assessment for low muscle strength (handgrip strength or 5-times chair stand test ≥10 s as a surrogate for lower limb strength) to diagnose possible/probable sarcopenia. For uncomplicated cases, lifestyle modifications in exercise and diet can be initiated in the community setting without further assessment. Where indicated, individuals diagnosed with possible/probable sarcopenia should undergo further assessment. Diagnosis of sarcopenia should be based on low muscle strength and low muscle mass (bioimpedance analysis, dual-energy X-ray absorptiometry or calf circumference as a surrogate). The severity of sarcopenia should be determined by assessment of physical performance (gait speed or 5-times chair stand test ≥12 s as a surrogate for gait speed). To treat sarcopenia, we recommend a combination of progressive resistance-based exercise training and optimization of nutritional intake (energy, protein and functional ingredients). High quality protein in sufficient quantity, to overcome anabolic resistance in older adults, and distributed throughout the day to enable maximum muscle protein synthesis, is essential. The addition of resistance-based exercise training is synergistic in improving the sensitivity of muscle protein synthesis response to the provision of amino acids and reducing anabolic resistance. An expected dose-response relationship between the intensity of resistance-based training, lean mass and muscle strength is described.

CONCLUSIONS

Reviewed and endorsed by the Society of Rehabilitation Medicine Singapore and the Singapore Nutrition and Dietetics Association, these multidisciplinary consensus recommendations can provide guidance in the formulation of comprehensive and pragmatic management plans to improve muscle health in older adults in Singapore and Asia.

The Prevalence of Sarcopenia in Chinese Older Adults: Meta-Analysis and Meta-Regression

Sarcopenia, with risk factors such as poor nutrition and physical inactivity, is becoming prevalent among the older population. The aims of this study were (i) to systematically review the existing data on sarcopenia prevalence in the older Chinese population, (ii) to generate pooled estimates of the sex-specific prevalence among different populations, and (iii) to identify the factors associated with the heterogeneity in the estimates across studies. A search was conducted in seven databases for studies that reported the prevalence of sarcopenia in Chinese older adults, aged 60 years and over, published through April 2020. We then performed a meta-analysis to estimate the pooled prevalence, and investigated the factors associated with the variation in the prevalence across the studies using meta-regression. A total of 58 studies were included in this review. Compared with community-dwelling Chinese older adults (men: 12.9%, 95% CI: 10.7-15.1%; women: 11.2%, 95% CI: 8.9-13.4%), the pooled prevalence of sarcopenia in older adults from hospitals (men: 29.7%, 95% CI:18.4-41.1%; women: 23.0%, 95% CI:17.1-28.8%) and nursing homes (men: 26.3%, 95% CI: 19.1 to 33.4%; women: 33.7%, 95% CI: 27.2 to 40.1%) was higher. The multivariable meta-regression quantified the difference of the prevalence estimates in different populations, muscle mass assessments, and areas. This study yielded pooled estimates of sarcopenia prevalence in Chinese older adults not only from communities, but also from clinical settings and nursing homes. This study added knowledge to the current epidemiology literature about sarcopenia in older Chinese populations, and could provide background information for future preventive strategies, such as nutrition and physical activity interventions, tailored to the growing older population.

Effects of multi-domain lifestyle interventions on sarcopenia measures and blood biomarkers: secondary analysis of a randomized controlled trial of community-dwelling pre-frail and frail older adults

Few studies have comprehensively described changes in blood biomarkers of the physiological responses underlying sarcopenia reduction associated with lifestyle interventions. In this study, we performed secondary analyses of data in a randomized controlled trial of multi-domain lifestyle interventions (6-month duration physical exercise, nutritional enrichment, cognitive training, combination and standard care control) among 246 community-dwelling pre-frail and frail elderly, aged ≥65 years, with and without sarcopenia. Appendicular lean mass (ALM), lower limb strength, gait speed, and blood levels of markers of muscle metabolism, inflammation, anti-oxidation, anabolic hormone regulation, insulin signaling, tissue oxygenation were measured at baseline, 3-month and 6-month post-intervention. Multi-domain interventions were associated with significant (p < 0.001) reduction of sarcopenia at 3-month and 6-month post-intervention, improved gait speed, enhanced lower limb strength, and were equally evident among sarcopenic participants who were slower at baseline than non-sarcopenic participants. Active intervention was associated with significantly reduced inflammation levels. Sarcopenia status and reduction were associated with blood biomarkers related to muscle metabolism, steroid hormone regulation, insulin-leptin signaling, and tissue oxygenation. Physical, nutritional and cognitive intervention was associated with measures of sarcopenia reduction, together with changes in circulating biomarkers of anabolic and catabolic metabolism underlying sarcopenia.

Sterol metabolism and protein metabolism are differentially correlated with sarcopenia in Asian Chinese men and women

OBJECTIVES

Our aim was to investigate the prevalence and predictive variables of sarcopenia.

METHODS

We recruited participants from the Peking Union Medical College Hospital Multicenter Prospective Longitudinal Sarcopenia Study (PPLSS). Muscle mass was quantified using bioimpedance, and muscle function was quantified using grip strength and gait speed. Logistic regression revealed the relationships between sarcopenia and nutritional, lifestyle, disease, psychosocial and physical variables.

RESULTS

The prevalence of sarcopenia and sarcopenic obesity was 9.2%-16.2% and 0.26%-9.1%, respectively. Old age, single status, undernourishment, higher income, smoking, low physical activity, poor appetite and low protein diets were significantly associated with sarcopenia. Multiple logistic regression analysis showed that age was a risk factor for all stages of sarcopenia, and participants above 80 years were greater than fivefold more susceptible to sarcopenia, while lower physical activity was an independent risk factor. The optimal cut-off value for age was 71 years, which departs from the commonly accepted cut-off of 60 years. Female participants were greater than twofold less susceptible to sarcopenia than male participants. The sterol derivative 25-hydroxyvitamin D was associated with fourfold lower odds of sarcopenia in male participants. Several protein intake variables were also correlated with sarcopenia. Based on these parameters, we defined a highly predictive index for sarcopenia.

CONCLUSIONS

Our findings support a predictive index of sarcopenia, which agglomerates the complex influences that sterol metabolism and nutrition exert on male vs female participants.

Estimation of sarcopenia prevalence in individuals at different ages from Zheijang province in China

In this study, we analyzed sarcopenia prevalence and the cut-off points for skeletal muscle mass index (SMI), gait speed, and handgrip strength in young (18-39 years), middle-aged (40-59 years), and elderly (>60 years) individuals (n=1685) from Zhejiang Province in China. The prevalence of sarcopenia among individuals above 65 years was 2.21%, 4.87%, 5.31%, 14.16%, and 16.37% according to five diagnostic criteria (AWGS2019, AWGS2014, EWGSOP1, EWGSOP2, and local standard). The mean SMI (Kg/m²) was 7.961±0.7966, 7.801±0.7276, and 7.544±0.7493, respectively, in young, middle-aged, and elderly males. The mean SMI in young, middle-aged, and elderly females was 6.1570±0.5658, 6.604±0.5658, and 6.248±0.7483, respectively. SMI correlated negatively with age (r=-0.2344, P<0.001), but was not associated with age in females (r=0.0573, P=0.1463). The cut-off point of SMI for sarcopenia was ≤6.3678 kg/m² in males and ≤5.0254 kg/m² in females. These findings shows that the prevalence of sarcopenia increased gradually with age and varied significantly based on the diagnostic criteria used for this analysis. The mean SMI of young women was lower than in middle-aged women, making them an unsuitable reference population for determining cut-off values for sarcopenia diagnosis.

Association between self-reported appetite and clinical outcomes of peritoneal dialysis patients: Findings from a low middle-income country

AIM

Patient-reported outcome measures (PROM) has gained international recognition as important predictors of clinical outcomes in peritoneal dialysis (PD). We sought to understand the associations between patient-reported appetite and clinical outcomes.

METHODS

In the Thailand Peritoneal Dialysis Outcomes and Practice Patterns Study (PDOPPS), 690 of 848 randomly selected PD patients from 22 facilities reported their appetite by using the short form (three items) of the Appetite and Diet Assessment Tool (ADAT), between 2016 and 2018. In this questionnaire, the patients rated their appetite as well as a change in appetite over time. Cox proportional hazards model regression was used to estimating associations between self-reported appetite and clinical outcomes, including mortality, haemodialysis (HD) transfer and peritonitis.

RESULTS

Half of the PD patients reported a good appetite, whereas 34% and 16% reported fair and poor appetites, respectively. Poor appetite was more prevalent among female, diabetic, congestive heart failure, older age and patients who had worse nutritional indicators, including lower time-averaged serum albumin and serum creatinine concentrations, as well as a higher proportions of hypokalaemia and severe hypoalbuminemia (serum albumin <3 g/dl). After adjusting for age, sex, comorbidities, and PD vintage, poor appetite was associated with increased risks of peritonitis (adjusted hazard ratio [HR] 1.73, 95% confidence interval [CI] 1.14-2.62), HD transfer (adjusted HR 2.25, 95% CI 1.24-4.10) and all-cause mortality (adjusted HR 1.60, 95% CI 1.08-2.39) compared to patients with good appetite.

CONCLUSION

Patient-reported poor appetite was independently associated with higher risks of peritonitis, HD transfer and all-cause mortality. This warrants further investigation to identify effective interventions.

Diagnostic Performance of Clinical Laboratory Indicators With Sarcopenia: Results From the West China Health and Aging Trend Study

BACKGROUND

Sarcopenia is an age-related and skeletal muscle disorder involving the loss of muscle mass or strength, and physiological function. Although the diagnostic indicators used in the different guidelines are for muscle mass, strength and physical performance, there are currently no uniform diagnostic criteria. Therefore, we aimed to explore the relationship between a series of biomarkers with sarcopenia in southwest China.

METHODS

We included 4302 patients from West China Health and Aging Trend (WCHAT) study. Sarcopenia was defined according to the Asian Working Group for Sarcopenia: 2019 Consensus Update on Sarcopenia Diagnosis and Treatment. Thyroxine、albumin、total protein、prealbumin、albumin to globulin ratio (A/G)、25(OH)VD、fasting insulin、adrenal cortisol、triglyceride、high-density lipoprotein、hemoglobin and aspartate aminotransferase to alanine aminotransferase ratio (AST/ALT) were measured. The receiver operating characteristic curves (ROC) were established to describe the predictive value for sarcopenia and we also used multivariate logistic regression analysis to identify risk factors of the disease.

RESULTS

In terms of protein state, patients with sarcopenia had lower value in total protein, albumin, prealbumin, A/G than the control (P<0.001). Patients had lower value in triglyceride but higher value in high-density lipoprotein compared with the healthy in the indicators of lipid metabolism (P<0.001). In the aspect of hormone state, patients had lower free triiodothyronine, fasting insulin but higher free tetraiodothyronine and adrenal cortisol than the healthy (P<0.001). The fasting insulin level (AUC=0.686) and the AST/ALT ratio (AUC=0.682) were the best predictors of sarcopenia among biomarkers. The diagnostic performance of fasting insulin combined with the AST/ALT ratio (AUC=0.720) is equal to multiple indicators (AUC=0.742).

CONCLUSION

The fasting insulin combined with the AST/ALT ratio exhibits good diagnostic performance for sarcopenia.

Correlation between Sarcopenia and Arteriosclerosis in Elderly Community Dwellers: A Multicenter Study

BACKGROUND

Evidence suggests that arteriosclerosis and sarcopenia (decreased muscle mass) share some of their many causes. However, after controlling for confounding factors, it is unclear whether the presence of arteriosclerosis correlates with sarcopenia.

OBJECTIVES

The aim of this paper is to explore whether sarcopenia is associated with arteriosclerosis.

DESIGN

A multicenter cross-sectional community-based study.

MATERIALS AND METHODS

A total of 2511 elderly subjects from six Chinese community health service centers in Anhui province were surveyed through an e-health promotion system to collect basic data and measurements of brachial-ankle pulse wave (baPWV), body composition, and handgrip strength (HGS). Pearson's correlation and binary logistic regression analyses were performed to identify associations between sarcopenia and high baPWV.

RESULTS

The prevalence rates of sarcopenia were 12.9% in men and 15.3% in women according to the 2019 standard of Asian Working Group for Sarcopenia. Among subjects with high baPWV, the proportion of sarcopenia was higher compared to those with normal baPWV (men: 17.7% vs. 3.7%; women: 20.4% vs. 4.9%, both p<0.001). Binary logistic regression analysis revealed that sarcopenia was associated with high baPWV (p<0.0001, odds ratio=1.619) after adjusting for confounding factors. HGS slightly and negatively correlated with baPWV (-0.19 in men and -0.18 in women).

CONCLUSIONS

The intertwined pathophysiological mechanisms shared by arteriosclerosis and sarcopenia are potential targets for future interventions to reduce morbimortality in subjects with both disorders. Upcoming prospective studies and clinical trials are expected to advance these findings.

Factors related with sarcopenia and sarcopenic obesity among low- and middle-income settings: the 10/66 DRG study

Sarcopenia and sarcopenic obesity research in low- and middle- income countries (LMICs) is limited. We investigated sarcopenia and sarcopenic obesity prevalence and sociodemographic, bio-clinical and lifestyle factors in LMICs settings. For the purposes of this study, the 10/66 Dementia Research Group follow-up wave information from individuals aged 65 and over in Cuba, Dominican Republic, Peru, Mexico, Puerto Rico, China, was employed and analysed (n = 8.694). Based on indirect population formulas, we calculated body fat percentage (%BF) and skeletal muscle mass index (SMI). Sarcopenia prevalence ranged from 12.4% (Dominican Republic) to 24.6% (rural Peru); sarcopenic obesity prevalence ranged from 3.0% (rural China) to 10.2% (rural Peru). Odds ratios (OR) with 95% confidence intervals (CI) for sarcopenia were higher for men 2.82 (2.22-3.57) and those with higher %BF 1.08 (1.07-1.09), whereas higher number of assets was associated with a decreased likelihood 0.93 (0.87-1.00). OR of sarcopenic obesity were higher for men 2.17 (1.70-2.76), those reporting moderate alcohol drinking 1.76 (1.21-2.57), and those with increased number of limiting impairments 1.54 (1.11-2.14). We observed heterogeneity in the prevalence of sarcopenia and sarcopenic obesity in the 10/66 settings. We also found a variety of factors to be associated with those. Our results reveal the need for more research among the older population of LMICs.

Myostatin as a Biomarker of Muscle Wasting and other Pathologies-State of the Art and Knowledge Gaps

Sarcopenia is a geriatric syndrome with a significant impact on older patients’ quality of life, morbidity and mortality. Despite the new available criteria, its early diagnosis remains difficult, highlighting the necessity of looking for a valid muscle wasting biomarker. Myostatin, a muscle mass negative regulator, is one of the potential candidates. The aim of this work is to point out various factors affecting the potential of myostatin as a biomarker of muscle wasting. Based on the literature review, we can say that recent studies produced conflicting results and revealed a number of potential confounding factors influencing their use in sarcopenia diagnosing. These factors include physiological variables (such as age, sex and physical activity) as well as a variety of disorders (including heart failure, metabolic syndrome, kidney failure and inflammatory diseases) and differences in laboratory measurement methodology. Our conclusion is that although myostatin alone might not prove to be a feasible biomarker, it could become an important part of a recently proposed panel of muscle wasting biomarkers. However, a thorough understanding of the interrelationship of these markers, as well as establishing a valid measurement methodology for myostatin and revising current research data in the light of new criteria of sarcopenia, is needed.

Sex- and age-specific effects of energy intake and physical activity on sarcopenia

Sarcopenia is a common health issue that is not limited to only elderly patients. However, many studies have reported factors to prevent sarcopenia only in susceptible groups. This study evaluates the relationship of the total energy intake to basal metabolic rate ratio (EI/BMR) and physical activity (PA) with sarcopenia. A second aim was to analyze the interaction between EI/BMR and PA by sex and age. We analyzed 16,313 subjects aged ≥ 19 years who had dual‒energy X-ray absorptiometry data. Sarcopenia was defined as appendicular lean mass/weight (%) that was 1 standard deviation below the sex-specific mean value for a young reference group. Multivariate logistic regression analysis was used to examine the interaction between EI/BMR and PA. In this study, as EI/BMR increased, the risk of sarcopenia decreased, particularly in the older groups. Both high PA and high EI/BMR were independently related to the reduced risk of sarcopenia and showed additive effects on reducing the risk in young male and older groups. However, high PA was associated with an increased risk of sarcopenia in the young female group with low energy intake. Our findings suggest that an adequate balance between energy intake and PA is related to a low risk of sarcopenia, especially in young females.

Asian Working Group for Sarcopenia: 2019 Consensus Update on Sarcopenia Diagnosis and Treatment

Clinical and research interest in sarcopenia has burgeoned internationally, Asia included. The Asian Working Group for Sarcopenia (AWGS) 2014 consensus defined sarcopenia as "age-related loss of muscle mass, plus low muscle strength, and/or low physical performance" and specified cutoffs for each diagnostic component; research in Asia consequently flourished, prompting this update. AWGS 2019 retains the previous definition of sarcopenia but revises the diagnostic algorithm, protocols, and some criteria: low muscle strength is defined as handgrip strength <28 kg for men and <18 kg for women; criteria for low physical performance are 6-m walk <1.0 m/s, Short Physical Performance Battery score ≤9, or 5-time chair stand test ≥12 seconds. AWGS 2019 retains the original cutoffs for height-adjusted muscle mass: dual-energy X-ray absorptiometry, <7.0 kg/m2 in men and <5.4 kg/m2 in women; and bioimpedance, <7.0 kg/m2 in men and <5.7 kg/m2 in women. In addition, the AWGS 2019 update proposes separate algorithms for community vs hospital settings, which both begin by screening either calf circumference (<34 cm in men, <33 cm in women), SARC-F (≥4), or SARC-CalF (≥11), to facilitate earlier identification of people at risk for sarcopenia. Although skeletal muscle strength and mass are both still considered fundamental to a definitive clinical diagnosis, AWGS 2019 also introduces "possible sarcopenia," defined by either low muscle strength or low physical performance only, specifically for use in primary health care or community-based health promotion, to enable earlier lifestyle interventions. Although defining sarcopenia by body mass index-adjusted muscle mass instead of height-adjusted muscle mass may predict adverse outcomes better, more evidence is needed before changing current recommendations. Lifestyle interventions, especially exercise and nutritional supplementation, prevail as mainstays of treatment. Further research is needed to investigate potential long-term benefits of lifestyle interventions, nutritional supplements, or pharmacotherapy for sarcopenia in Asians.

Nutritional status and body fat mass: Determinants of sarcopenia in community-dwelling older adults

BACKGROUND

Sarcopenia is defined as the old age syndrome characterized by profound decline in muscle mass and function. This study aimed to investigate the prevalence of sarcopenia and its risk factors in older adults.

METHODS

Totally, 501 older people aged 65 years and older were recruited. Sarcopenia was defined according to the criteria of the Asian Working Group for Sarcopenia (AWGS). For obtaining Skeletal Muscle mass Index (SMI), body composition was evaluated using Bioelectrical Impedance Analysis (BIA). Muscle strength and physical performance were measured by Handgrip Strength (HGS) and Gait Speed (GS), respectively. Nutritional status, physical activity level, and biochemical indicators were assessed, as well.

RESULTS

The prevalence of sarcopenia was 20.8%. Multiple logistic regression models of the predictors of decline in the components of sarcopenia showed that older age, low Body Mass Index (BMI), and serum albumin level were associated with a higher risk of low SMI. Low serum albumin level and older age were also predictive of low HGS. Besides, old age, high body fat mass, and low BMI were the risk factors of low GS. Conversely, increased Calf Circumference (CC) was protective against low SMI and GS. Finally, older age, male gender, low BMI, decreased mini-nutritional assessment score, low serum albumin level, and high body fat were associated with a higher risk of sarcopenia, whereas higher CC reduced its risk.

CONCLUSION

The prevalence of sarcopenia is high among elderly individuals. This study underlined that sarcopenia might develop in older adults with impaired nutritional status and high body fat mass. Further studies could evaluate the effects of appropriate nutritional interventions on sarcopenia management and prevention.

Sedentary behaviour, physical activity, and sarcopenia among older adults in the TSHA: isotemporal substitution model

BACKGROUND

The associations between free-living physical activity (PA) and sedentary behaviour (SB) and sarcopenia in older people and its determinants are controversial. Self-reporting, the use of one-size-fits-all cut-points for intensity categorization when using accelerometers and the absence of a clear sarcopenia definition hampered explorations. The aim of this study is to describe the associations between objectively measured PA patterns and sarcopenia and its determinants.

METHODS

Subjects aged >65 with valid accelerometry and sarcopenia-related measures from Toledo Study of Healthy Aging (TSHA) were included. Muscle mass (MM) was estimated by dual-energy X-ray absorptiometry. Handgrip strength (HS) was measured by dynamometry. Physical performance assessment relied on gait speed (GS). Sarcopenia presence was ascertained using Foundation for the National Institutes of Health (FNIH) criteria. PA and SB were estimated by ActiTrainer worn for 1 week and classified into time spent in SB and different PA intensity bands [light PA (LPA) and moderate-to-vigorous PA (MVPA)] using age-specific cut-points. Different multivariate linear and logistic regression models [(i) single-parameter, (ii) partition, and (iii) isotemporal substitution models] were used for estimating associations between PA, SB, and sarcopenia determinants and sarcopenia rates, respectively. All models adjusted for age, sex, co-morbidities (Charlson index), and functional ability (Katz and Lawton indexes).

RESULTS

Five hundred twelve subjects from the TSHA had available data (78.08 ± 5.71 years of age; 54.3% women). FNIH sarcopenia assessment was performed in 497 subjects (23.3% were sarcopenic). In the linear regression, the single-parameter model showed an association between MVPA and all sarcopenia determinants. In the partition model, MVPA was associated with greater MM and GS. The isotemporal substitution showed that reallocating 1 h/day of MVPA displacing SB was associated with greater values in MM [β = 0.014; 95% confidence interval (CI) = 0.004, 0.024; P < 0.01], GS (β = 0.082; 95% CI = 0.054, 0.110; P < 0.001), and HS (β = 0.888; 95% CI = 0.145, 1.631; P < 0.05). In the logistic regression, the single-parameter model yielded a significant association between 1 h/day increase in MVPA and sarcopenia reduction [odds ratio (OR) = 0.522; 95% CI = 0.367, 0.726; P < 0.001], as did the partition model (OR = 0.555; 95% CI = 0.376, 0.799; P < 0.01). The reallocation of 1 h/day SB only yielded a significant lower sarcopenia risk by almost 50% when it was substituted with MVPA, whereas the substitution of 15 min/day yielded a significant lower sarcopenia risk by 15% (P < 0.001) but did not show any association when it was substituted with LPA.

CONCLUSIONS

An increase in MVPA replacing SB and LPA was associated with a reduction in sarcopenia prevalence and better performance across its determinants (MM, GS, and HS). LPA did not show any significant effect.

The Association between Sarcopenia and Prealbumin Levels among Elderly Chinese Inpatients

OBJECTIVES

The goal of the present study was to assess the relationship between sarcopenia and prealbumin levels among hospitalized patients ages 60 and older.

DESIGN

Cross-sectional study.

SETTING

The geriatric wards in Guizhou Provincial People's Hospital, Guiyang. Guizhou, China.

MEASUREMENTS

Sarcopenia was defined according to the Asian Working Group for Sarcopenia (AWGS) criteria, which consist of three components: low muscle mass, assessed based on an index of appendicular skeletal mass/height2 <7.0kg/m2 for men and <5.4kg/m2 for women; low muscle strength, defined as handgrip strength <26kg for men and <18kg for women; and low physical performance, defined as gait speed <0.8m/s. Using these criteria, sarcopenia was defined as presence of low muscle mass in addition to low muscle strength and/or low physical performance. Prealbumin levels and other variables were considered as being independent variables in an effort to evaluate any potential associations between these factors and sarcopenia status using non-adjusted and multivariate-adjusted regression models.

RESULTS

The overall prevalence of sarcopenia was 60.17%, affecting 65 (70.65%) men and 6 (23.08%) women in the present study. Age, body mass index (BMI), and prealbumin levels were each independently associated with sarcopenia (p<0.05). In a multivariate model, after adjusting for all potential covariates, prealbumin levels remained significantly associated with sarcopenia incidence, with an inflection point of 265.9mg/L. The effect sizes and the confidence intervals on the left and right sides of this inflection point were 0.94 (0.90 to 0.99) and 1.07 (0.93 to 1.23), respectively.

CONCLUSION

Among older Chinese inpatients in the present study, prealbumin levels were negatively correlated with sarcopenia incidence, when prealbumin levels were below 265.9mg/L.

Influence of Hemoglobin Level on Muscle and Physical Functions, Activities of Daily Living, and Quality of Life in Patients With Hematological Malignancies

PURPOSE

Patients with hematological malignancies often present with reduced muscle and physical functions, which are caused by the disease or related treatment. Moreover, patients with hematological malignancies rapidly develop low hemoglobin levels, and this may affect muscle and physical functions. This study aimed to identify the influence of hemoglobin levels on muscle and physical functions in patients with hematological malignancies.

METHODS

Using a cross-sectional study design, this study included 60 patients with hematological malignancies (mean age = 68.0 ± 10.2 years, women 56.7%) who were hospitalized for chemotherapy- and radiotherapy-related side effects and underwent examination for skeletal muscle mass (SMM), muscle strength, physical function, activities of daily living (ADLs), psychological status, and quality-of-life (QOL), including physical symptoms. Participants were divided into 3 groups according to tertiles of hemoglobin levels: low (n = 19), middle (n = 20), and high (n = 21). Evaluation items were compared among the 3 groups.

RESULTS

There was no significant difference among the 3 groups in terms of SMM. The low hemoglobin group showed significantly higher values of fatigue and dyspnea and lower values of muscle strength, ADLs, and QOL than the high hemoglobin group.

CONCLUSIONS

Hemoglobin levels did not affect SMM; however, muscle weakness, decrease in physical function, physical symptoms such as fatigue and dyspnea, and decline in ADLs and QOL were observed in patients with low hemoglobin levels.