Sex and population-specific cutoff values of muscle quality index: Results from NHANES 2011-2014

Deciphering the environmental chemical basis of muscle quality decline by interpretable machine learning models

BACKGROUND

Sarcopenia is known as a decline in skeletal muscle quality and function that is associated with age. Sarcopenia is linked to diverse health problems, including endocrine-related diseases. Environmental chemicals (ECs), a broad class of chemicals released from industry, may influence muscle quality decline.

OBJECTIVE

In our work, we aim to simultaneously elucidate the associations between muscle quality decline and diverse EC exposures based on the data from the 2011-2012 and 2013-2014 survey cycles in the National Health and Nutrition Examination Survey (NHANES) project using machine learning models.

METHODS

Six machine learning models were trained based on the EC and non-EC exposures from NHANES to distinguish low from normal muscle quality index status. Different machine learning metrics were evaluated for these models. The SHAP (SHapley Additive exPlanations) approach was used to provide explainability for machine learning models.

RESULTS

Random Forest (RF) performed best on the independent testing dataset. Based on the testing dataset, ECs can independently predict the binary muscle quality status with good performance by RF (Area Under the Receiver Operating Characteristic Curve (AUROC) = 0.793, Area Under the Precision-Recall Curve (AUPRC) = 0.808). The SHAP ranked the importance of ECs for the RF model. As a result, several metals and chemicals in urine, including 3-phenoxybenzoic acid and cobalt, were more associated with the muscle quality decline.

CONCLUSIONS

Altogether, our analyses suggest that ECs can independently predict muscle quality decline with a good performance by RF, and the SHAP-identified ECs can be closely related to muscle quality decline and sarcopenia. Our analyses may provide valuable insights into environmental chemicals that may be the important basis of sarcopenia and endocrine-related diseases in U.S.

POPULATIONS

Strength-to-muscle radiodensity: A potential new index for muscle quality

BACKGROUND & AIMS

Although it is widely recognized that muscle quality significantly influences adverse outcomes in patients with cancer, the precise definition of muscle quality remains elusive. The muscle quality index (MQI), also known as muscle-specific strength, is a relatively recent functional concept of muscle quality. It is obtained through the ratio of muscle strength to muscle mass, but its predictive value in patients with cancer remains unknown. In this study, we explored the prognostic significance of MQI in patients with cancer. Furthermore, we introduce and assess the prognostic potential of a novel muscle quality metric: the strength-to-muscle-radiodensity index (SMRi).

METHODS

A secondary analysis was conducted on a prospective cohort study. CT scans were opportunistically used to assess body composition parameters, including skeletal muscle mass (SM in cm2) and muscle radiodensity (SMD in HU) at the third lumbar vertebra (L3). Handgrip strength (HGS) was measured. MQICT was calculated using the ratio of HGS to SM (cm2). SMRi was calculated as the ratio of HGS to SMD (HU). For analysis purposes, low MQICT and SMRi were defined using two approaches: statistical cutoffs associated with survival, and median-based distribution data.

RESULTS

A total of 250 patients were included (52.8% females, 52% adults, 20-90 years). Gastrointestinal tumors and stage III-IV were the most frequent diagnosis and stages. SMRi and MQICT were strongly positively correlated (ρ = 0.71 P < 0.001). Individual components of MQICT and SMRi were also positively correlated. Patients with both low MQICT and SMRi had shorter survival (log-rank P = 0.023 and P = 0.003, respectively). When applying median distribution cutoffs, SMRi emerged as the most accurate predictor of mortality (HR adjusted 3.18, 95% CI 1.50 to 6.75, C-index: 0.71), when compared to MQICT (HR adjusted 1.49, 95% CI 0.77 to 2.87, C-index: 0.68).

CONCLUSION

This study introduces the concept and potential prognostic significance of the SMRi. The physiological and clinical implications of this new index warrant further investigation across a spectrum of diseases, including cancer.

Comparisons between dual-energy X-ray absorptiometry and bioimpedance devices for appendicular lean mass and muscle quality in Hispanic adults

The purpose of this study was to compare single- and multi-frequency bioimpedance (BIA) devices against dual-energy X-ray absorptiometry (DXA) for appendicular lean mass (ALM) and muscle quality index (MQI) metrics in Hispanic adults. One hundred thirty-one Hispanic adults (18-55 years) participated in this study. ALM was measured with single-frequency bioimpedance analysis (SFBIA), multi-frequency bioimpedance analysis (MFBIA) and DXA. ALMTOTAL (left arm + right arm + left leg + right leg) and ALMARMS (left arm + right arm) were computed for all three devices. Handgrip strength (HGS) was measured using a dynamometer. The average HGS was used for all MQI models (highest left hand + highest right hand)/2. MQIARMS was defined as the ratio between HGS and ALMARMS. MQITOTAL was established as the ratio between HGS and ALMTOTAL. SFBIA and MFBIA had strong correlations with DXA for all ALM and MQI metrics (Lin's concordance correlation coefficient values ranged from 0·86 (MQIMFBIA-ARMS) to 0·97 (Arms LMSFBIA); all P < 0·001). Equivalence testing varied between methods (e.g. SFBIA v. DXA) when examining the different metrics (i.e. ALMTOTAL, ALMARMS, MQITOTAL and MQIARMS). MQIARMS was the only metric that did not differ from the line of identity and had no proportional bias when comparing all the devices against each other. The current study findings demonstrate good overall agreement between SFBIA, MFBIA and DXA for ALMTOTAL and ALMARMS in a Hispanic population. However, SFBIA and MFBIA have better agreement with DXA when used to compute MQIARMS than MQITOTAL.

Association of added sugar intake and its forms and sources with handgrip strength decline among middle-aged and older adults: A prospective cohort study

PURPOSE

The consumption of added sugar has increased rapidly in recent years. Limited knowledge exists regarding the association between added sugar intake and muscle strength, although the latter is a predictor of physical disability in older adults. This study aimed to investigate the association between added sugar intake and longitudinal changes in handgrip strength among middle-aged and elderly Chinese adults.

METHODS

This prospective cohort study included 5298 adults aged 40 years and older (62.6% men) from the TCLSIH (Tianjin Chronic Low-grade Systemic Inflammation and Health) cohort study. Added sugar intake was obtained through a frequency questionnaire containing 100 items of food. Handgrip strength is measured annually using a handheld digital dynamometer. Multivariate linear regression models were used to examine the association between added sugars intake and the annual changes in handgrip strength and weight-adjusted handgrip strength.

RESULTS

In the fully adjusted model, the annual change in handgrip strength for one unit increase in total added sugar, solid added sugar, and liquid added sugar intake was -0.0353 kg, (95% confidence intervals (CI) -0.000148, -0.0000164; P = 0.01), -0.0348 kg (95% CI: -0.000227, -0.0000269; P = 0.01) and -0.0189 kg (95% CI -0.000187, 0.0000338; P = 0.17), respectively. Added sugar from bread and biscuits sources were remarkably associated with a decline in handgrip strength (β = -0.0498; 95%CI -0.00281, -0.000787) and (β = -0.0459; 95%CI 0.00158, 0.00733) (P < 0.01).

CONCLUSIONS

Our data suggest that the higher the intake of solid added sugars, but not liquid sugars, were associated with the declined handgrip strength in the Chinese middle-aged and elderly population. In addition, the consumption of added sugars from bread and biscuits sources was also associated with a decline in grip strength.

Muscle Quality in Relation to Prediabetes Phenotypes: A Population-Based Study With Mediation Analysis

CONTEXT

Prediabetes is associated with an increased risk of physical disability, yet no studies have assessed the extent to which muscle quality, a measure reflecting muscle functionality, was altered in prediabetes and its specific phenotype.

OBJECTIVE

We evaluated their associations in a general US population with mediation analysis.

METHODS

This was a cross-sectional study based on the National Health and Nutrition Examination Survey 2011-2014. Participants with prediabetes were stratified as having an isolated defect (impaired fasting glucose [IFG], impaired glucose tolerance [IGT], or impaired hemoglobin A1c [IA1c]), 2 defects (IFG + IGT, IFG + IA1c, or IGT + IA1c), or all defects (IFG + IGT + IA1c). Muscle quality was calculated as dominant grip strength divided by dominant arm muscle mass measured by dual-energy X-ray absorptiometry.

RESULTS

We included 2351 participants (938 with prediabetes and 1413 with normoglycemia). Despite higher grip strength and larger arm muscle mass, arm muscle quality was lower in prediabetes and all prediabetes phenotypes (except for IGT) than normoglycemia (all P < .04), and was unrelated to prediabetes awareness. Arm muscle quality was decreased and the odds of low arm muscle quality was increased in prediabetes with increasing numbers of glucometabolic defects (both P < .001), with insulin resistance being the predominant mediator. HbA1c-defined prediabetes (IA1c) had lower arm muscle quality and higher odds of low arm muscle quality than blood glucose-defined prediabetes (IFG, IGT, or IFG + IGT).

CONCLUSION

Muscle quality was impaired in prediabetes and its specific phenotype. Relative to blood glucose, elevated HbA1c might be a better predictor of reduced muscle quality.

Association between manganese exposure in heavy metals mixtures and the prevalence of sarcopenia in US adults from NHANES 2011-2018

Environmental pollution is identified as an essential risk factor for sarcopenia. However, the effect of manganese (Mn) exposure on the prevalence of sarcopenia is not assessed. Our study investigated the correlation between blood Mn concentration and sarcopenia risk in the National Health and Nutrition Examination Survey (NHANES) from 2011 to 2018. Three statistical methods were used to assess these correlations. Mediation analysis was performed to explore the role of inflammation in Mn exposure-induced sarcopenia. Of the 4957 individuals enrolled in this study, 398 (8 %) were diagnosed with sarcopenia. We found a positive association between the log10 Mn concentration and the prevalence of sarcopenia in the logistic regression model. Moreover, heavy metals mixtures were positively correlated with the prevalence of sarcopenia, with Mn identified as the main contributor to this association in the weighted quantile sum (WQS) and Bayesian kernel machine regression (BKMR) models. Furthermore, inflammation mediated the relationship between Mn exposure and the prevalence of sarcopenia, explaining 7.29 % of the effect (odds ratio: 0.03, 0.19, P = 0.002). Thus, our study results revealed that excessive Mn exposure is a contributing factor for sarcopenia. More prospective studies are required to examine the association between Mn exposure and the prevalence of sarcopenia.

The Utility of Urinary Titin to Diagnose and Predict the Prognosis of Acute Myocardial Infarction

Early detection and management are crucial for better prognosis in acute myocardial infarction (AMI). Serum titin, a component of the sarcomere in cardiac and skeletal muscle, was associated with AMI. Thus, we hypothesized that urinary N-fragment titin may be a biomarker for its diagnosis and prognosis. Between January 2021 and November 2021, we prospectively enrolled 83 patients with suspected AMI. Their urinary N-fragment titin, serum high-sensitivity troponin I (hsTnI), creatine kinase (CK), and creatine kinase-MB (CK-MB) were measured on admission. Then, urinary titin was assessed as diagnostic and prognostic biomarker in AMI. Among 83 enrolled patients, 51 patients were diagnosed as AMI. In AMI patients who were admitted as early as 3 h or longer after symptom onset, their urinary titin levels were significantly higher than non-AMI patients who are also admitted 3 h or longer after symptom onset (12.76 [IQR 5.87-16.68] pmol/mgCr (creatinine) and 5.13 [IQR 3.93-11.25] pmol/mgCr, p = 0.045, respectively). Moreover, the urinary titin levels in patients who died during hospitalization were incredibly higher than in those who were discharged (15.90 [IQR 13.46-22.61] pmol/mgCr and 4.90 [IQR 3.55-11.95] pmol/mgCr, p = 0.023). Urinary N-fragment titin can be used as non-invasive early diagnostic biomarker in AMI. Furthermore, it associates with hospital discharge disposition, providing prognostic utility.

Muscle quality index and cardiovascular disease among US population-findings from NHANES 2011-2014

BACKGROUND AND OBJECTIVE

Cardiovascular disease (CVD) is the leading cause of morbidity and mortality in the United States. However, current evidence on the association between muscle quality and CVD is limited. This study investigates the potential association between the muscle quality index (MQI) and the prevalence of CVD and CVD-related mortality.

METHODS

Participants were selected from the National Health and Nutrition Examination Survey (NHANES) 2011-2014. Data on mortality and causes of death were obtained from the National Death Index (NDI) records through December 31, 2019. Statistical analysis used in this study, including weighted multivariable linear and logistic regression, cox regression and Kaplan-Meier (K-M) analysis, to estimate the association between MQI and all-cause mortality as well as CVD mortality. In addition, subgroup analysis was used to estimate the association between MQI and CVD subtypes, such as heart attack, coronary heart disease, angina, congestive heart failure, and stroke.

RESULTS

A total of 5,053 participants were included in the final analysis. Weighted multivariable linear regression models revealed that a lower MQI.total level was independently associated with an increased risk of CVD development in model 3, with t value =-3.48, 95%CI: (-0.24, -0.06), P = 0.002. During 5,053 person-years of 6.92 years of follow-up, there were 29 deaths from CVD. Still, the association between MQI.total and CVD mortality, as well as all-cause mortality did not reach statistical significance in the fully adjusted model (HR = 0.58, 95% CI: 0.21-1.62, P = 0.30; HR = 0.91, 95% CI:0.65,1.28, P = 0.59, respectively). Subgroup analysis confirmed that MQI.total was negatively associated with congestive heart failure (OR = 0.35, 95% CI = 0.18,0.68, P = 0.01).

CONCLUSION

This study highlights the potential of MQI as a measure of muscle quality, its negative correlation with congestive heart failure (CHF). However, MQI was not very useful for predicting the health outcomes such as CVD and mortality. Therefore, more attention should be paid to the early recognition of muscle weakness progression in CHF. Further studies are needed to explore more effective indicator to evaluate the association between muscle quality and health outcomes.

Association between muscle quality index and periodontal disease among American adults aged ≥ 30 years: a cross-sectional study and mediation analysis

OBJECTIVE

The muscle quality index (MQI) is a measurement of muscle quality that is directly related to overall health. There has been little study on the relationship between the muscle quality index and periodontitis in American people beyond 30 years. Therefore, this study aimed to explore the link between periodontitis and Muscle quality index (MQI) in older Americans.

METHODS

Three thousand two hundred fifty-eight individuals (aged 30 to 59) who participated in the National Health and Nutrition Examination Survey (NHANES) 2011-2014 were considered eligible for the cross-sectional investigation. A hand dynamometer was used to determine the handgrip strength (HGS). Dual-energy X-ray absorptiometry was employed to calculate ASM (DXA). MQIArm was calculated by dividing the dominant hand's HGS by the dominant arm's ASM (in kg/kg). MQIApp was calculated by dividing the dominant hand's HGS by the ASM (in kg/kg). MQItotal was calculated by dividing the sum of the dominant and non-dominant hands by the ASM (in kg/kg). To investigate the link between muscle quality index and periodontal disease, the weighted multivariable logistic regression models were used. Using generalized additive models, it was determined if a nonlinear connection existed. Then, we developed a two-piece linear regression model and calculated the inflection point using a recursive approach. A mediation study was performed to determine how much of the impact of MQItotal on periodontitis was mediated by potential variables.

RESULTS

Three thousand two hundred fifty-eight participants from the United States were enrolled. The OR (95% CI) for the relationship between MQItotal and periodontitis in the regression model with fully adjusted variables was 0.69 (0.53-0.91), for the connection between MQIArm and periodontitis was 0.90 (0.84-0.97), and for the association between MQIApp and periodontitis was 0.49 (0.30-0.80). MQItotal and periodontitis were shown to have a J-shaped relationship with a change point of 3.64. Before the change point, the OR (95% CI) was 0.69 (0.58, 0.82). In the analysis of drinking and married status, the interaction was statistically significant. Analysis of mediation showed that alcohol use was responsible for 0.4% (0.10 to 1.2) of the effect of MQItotal on periodontitis.

CONCLUSION

In American adults aged over 30, the Muscle Quality Index (MQI) exhibited an independent negative correlation with moderate to severe periodontitis, demonstrating a J-shaped relationship. Furthermore, alcohol consumption may act as a mediator in the association between MQI and periodontitis.

Muscle quality is negatively related to hypertension prevalence in adults: Results from NHANES 2011-2014

Resistance training could counter hypertension and improve muscle quality (MQ), but current evidence about the correlation between MQ and hypertension is limited. The authors aimed to explore this correlation using the data of participants aged 20-59 from NHANES 2011-2014 via a cross-sectional study. The MQ was quantified as handgrip strength (kg)/lean soft tissue mass (kg) of the dominant arm. Weighted multivariate logistic regression models were mainly utilized to investigate the MQ-hypertension association; linear trend tests and subgroup analysis were also conducted. Moreover, the authors employed weighted multivariate linear regression models to uncover the association between blood pressure (BP) and MQ. Four thousand four hundred and sixty-nine individuals were enrolled, and 1167 were hypertensive. Hypertensive participants had a lower MQ than normotensive participants. In the totally adjusted model, each unit elevation in MQ was related to a 7% reduction in hypertension prevalence (p =.002). There was a decreasing trend in hypertension prevalence and in systolic BP as the MQ increased from the bottom to the top quartile across all three models (p for trend ≤.01), with a 28% difference (OR: 0.72, 95% CI: 0.54, 0.95) in hypertension prevalence and a 1.88 mm Hg (95% CI: -3.56, -0.20) difference in SBP between the top and bottom quartiles in the fully adjusted model. Subgroup analysis further confirmed the MQ-hypertension inverse association. In conclusions, the MQ was negatively associated with hypertension prevalence and systolic BP, which suggests the MQ may be a protective factor for hypertension and need to be improved.

Frailty but not low muscle quality nor sarcopenia is independently associated with mortality among previously hospitalized older adults: A prospective study

AIM

There are few studies comparing the effects of geriatric syndromes and abnormalities in nutritional status and body composition on outcomes among older individuals who have been previously hospitalized. Our study aimed to evaluate the frequency and diagnosis of geriatric syndromes, low muscle quality, and nutritional status in hospitalized older individuals, and to examine their impact on both short- and long-term outcomes.

METHODS

This was a prospective study involving older adults (≥60 years). We assessed nutritional status, muscle quality, sarcopenia, and frailty. The outcomes were functional dependence, length of hospital stay, transfer to the Intensive Care Unit, number of readmissions, and mortality. Multivariate analysis was conducted to identify independent risk factors.

RESULTS

Even after adjustment for age and sex, increased risk of death was associated with possible undernourishment, sarcopenia, low muscle quality, and frailty (P < 0.05), but not the length of hospital stay (P > 0.05). Our multivariate analysis showed that frailty was independently associated with mortality and functional dependence. Low muscle quality was independently associated with functional dependence.

CONCLUSIONS

Geriatric syndromes, abnormalities in body composition, and the overall nutritional status of older patients are important risk factors for adverse outcomes, including functional dependence and mortality. These findings emphasize the need for interventions to improve muscle quality, prevent and treat malnutrition and sarcopenia, and address frailty in hospitalized patients. Geriatr Gerontol Int 2023; 23: 736-743.

Associations between the muscle quality index and adult lung functions from NHANES 2011-2012

Background

The muscle quality index (MQI), as an important component of sarcopenia, is defined as the ratio of muscle strength to muscle mass. Lung function, is a clinical indicator to assess ventilation and air exchange function. This study investigated the relationship between lung function indices and MQI in the NHANES database from 2011 to 2012.

Methods

This study included 1,558 adults from the National Health and Nutrition Examination Survey from 2011 to 2012. Muscle mass and muscle strength were assessed using DXA and handgrip strength, and all participants underwent pulmonary function measurements. Multiple linear regression and multivariable logistic regression were used to assess the correlation between the MQI and lung function indices.

Results

In the adjusted model, MQI was significantly correlated with FVC% and PEF%. And, after quartiles of MQI in Q3, where FEV₁%, FVC%, and PEF% were all associated with MQI, in Q4, a lower relative risk of a restrictive spirometry pattern was linked to increased MQI. Compared to the lower age group, the relationship between the MQI and lung function indices was more significant in the higher age group.

Conclusion

There was an association between the MQI and lung function indices. Furthermore, in the middle-aged and older adult populations, lung function indicators and restrictive ventilation impairment were significantly associated with MQI. This implies that improving lung function through muscle training may be beneficial to this group.

Handgrip Strength and Muscle Quality: Results from the National Health and Nutrition Examination Survey Database

BACKGROUND

Handgrip strength (HGS) and the appendicular lean mass index (ALMI) are important determinants of sarcopenia. Muscle quality (MQ) is a measure of muscle strength relative to muscle mass. We examined trends in handgrip strength, the appendicular lean mass index, and analyzed their relationship with age, anthropometry, and body composition in a sample of participants in the United States (US).

METHODS

This cross-sectional study analyzed data from 14,741 US males (49.7%) and females (50.3%) 6-80 years old who responded to the National Health and Nutrition Examination Survey (NHANES) from 2011 to 2014. Dual X-ray absorptiometry was used to measure appendicular skeletal muscle mass. HGS was evaluated using the Takei Digital Grip Strength Dynamometer. Smoothed normative curves for HGS and the ALMI were constructed using a generalized additive model. Multiple regression analyses were used to examine associations of HGS and the ALMI with age, nutrition-related factors, physical activity, and body composition.

RESULTS

Mean HGS and the ALMI declined with advancing age. While mean HGS increased with the ALMI, it decreased with the fat mass index. HGS increased in males with an increase in body mass index, energy intake, the ALMI, and vitamins; however, HGS in females increased with albumin, but it had a negative association with the fat mass index and age, but not with increasing adiposity.

CONCLUSIONS

HGS and the ALMI change with age: HGS increases with age, then stabilizes and declines; the ALMI increases with age, then stabilizes. In addition, we provide evidence for the effect of anthropometry, nutrition, physical activity, and body composition on HGS and the ALMI in US population.

Muscle quality index is associated with trouble sleeping: a cross-sectional population based study

BACKGROUND

Trouble sleeping is one of the major health issues nowadays. Current evidence on the correlation between muscle quality and trouble sleeping is limited.

METHODS

A cross-sectional study design was applied and participants aged from 18 to 60 years in the National Health and Nutrition Examination Survey (NHANES) 2011-2014 was used for analysis. Muscle quality index (MQI) was quantitatively calculated as handgrip strength (HGS, kg) sum/ arm and appendicular skeletal muscle mass (ASM, kg) by using the sum of the non-dominant hand and dominant hand. Sleeping data was obtained by interviews and self-reported by individuals. The main analyses utilized weighted multivariable logistic regression models according to the complex multi-stage sampling design of NHANES. Restricted cubic spline model was applied to explore the non-linear relationship between MQI and trouble sleeping. Moreover, subgroup analyses concerning sociodemographic and lifestyle factors were conducted in this study.

RESULTS

5143 participants were finally included in. In the fully adjusted model, an increased level of MQI was significantly associated with a lower odds ratio of trouble sleeping, with OR = 0.765, 95% CI: (0.652,0.896), p = 0.011. Restricted cubic spline showed a non-linear association between MQI and trouble sleeping. However, it seemed that the prevalence of trouble sleeping decreased with increasing MQI until it reached 2.362, after which the odds ratio of trouble sleeping reached a plateau. Subgroup analyses further confirmed that the negative association between the MQI and trouble sleeping was consistent and robust across groups.

CONCLUSION

Overall, this study revealed that MQI can be used as a reliable predictor in odds ratio of trouble sleeping. Maintaining a certain level of muscle mass would be beneficial to sleep health. However, this was a cross-sectional study, and causal inference between MQI and trouble sleeping was worthy of further exploration.

Muscle distribution in relation to all-cause and cause-specific mortality in young and middle-aged adults

BACKGROUND

The relationship between muscle and prognosis, especially that between muscle distribution across different body parts, and the related prognosis is not well established.

OBJECTIVE

To investigate the relationship between muscle distribution and all-cause and cause-specific mortality and their potential modifiers.

DESIGN

Longitudinal cohort study. C-index, IDI, and NRI were used to determine the best indicator of prognosis. COX regression analysis was performed to explore the relationship between variables and outcomes. Interaction and subgroup analyses were applied to identify the potential modifiers.

PARTICIPANTS

A total of 5052 participants (weighted: 124,841,420) extracted from the NHANES 2003-2006 of median age 45 years and constituting 50.3% men were assessed. For validation, we included 3040 patients from the INSCOC cohort in China.

MAIN MEASURES

Muscle mass and distribution. KEY RESULTS: COX regression analysis revealed that upper limbs (HR = 0.41, 95% CI 0.33-0.51), lower limbs (HR = 0.54, 95% CI 0.47-0.64), trunk (HR = 0.71, 95% CI, 0.59-0.85), gynoid (HR = 0.47, 95% CI 0.38-0.58), and total lean mass (HR = 0.55, 95% CI 0.45-0.66) were all associated with the better survival of participants (P _trend < 0.001). The changes in the lean mass ratio of the upper and lower limbs and the lean mass ratio of the android and gynoid attenuated the protective effect of lean mass. Age and sex acted as potential modifiers, and the relationship between lean mass and the prognosis was more significant in men and middle-aged participants when compared to that in other age groups. Sensitive analyses depicted that despite lean mass having a long-term impact on prognosis (15 years), it has a more substantial effect on near-term survival (5 years).

CONCLUSION

Muscle mass and its distribution affect the prognosis with a more significant impact on the near-term than that on the long-term prognosis. Age and sex acted as vital modifiers.

Sexual Difference in Effect of Long Sleep Duration on Incident Sarcopenia after Two Years in Community-Dwelling Older Adults

Background: Sarcopenia, a progressive and generalized skeletal muscle disorder involving an accelerated loss of muscle mass and muscle function, is a common condition in older individuals. This study aimed to determine whether sleep latency and duration were independently associated with incident sarcopenia and to explore sex differences in these associations. Methods: This 2-year longitudinal analysis of cohort study data included community-dwelling participants of the 2016–2017 Korea Frailty and Aging Cohort Study aged 70–84 years at baseline survey who completed the 2-year follow-up survey. Logistic regression was used to calculate the odds ratios (ORs) for sarcopenia and sarcopenia components. Sarcopenia was defined using the 2019 Asian Working Group for Sarcopenia guidelines. Results: Among 1,353 non-sarcopenic participants in the baseline survey, 1,160 (85.8%) and 193 (14.2%) were classified as non-sarcopenic and sarcopenic, respectively, after 2 years. Long sleep duration (>8 hours per night) was associated with incident sarcopenia in male—OR=2.41 (95% confidence interval [CI], 1.13–5.17) after adjusting for confounding factors. Long sleep duration was specifically associated with the development of low skeletal muscle mass and low muscle strength in male—adjusted OR=2.16 (95% CI, 1.02–4.61) and adjusted OR=2.70 (95% CI, 1.13–6.43), respectively. In female, compared to normal sleep duration, the adjusted ORs for long and short sleep duration for sarcopenia were 2.093 (95% CI, 0.753–5.812; p=0.157) and 0.852 (95% CI, 0.520–1.393; p=0.522), respectively, which were not significant.Conclusion: In male, long sleep duration was associated with incident sarcopenia, specifically the development of low muscle mass and low muscle strength, but not with low physical performance.