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

Lopes, Lorena Cristina Curado; Vaz-Gonçalves, Larissa; Schincaglia, Raquel Machado; Gonzalez, Maria Cristina; Prado, Carla M.; Oliveira, Erick P. de; Mota, João Felipe

doi:10.1016/j.clnu.2022.04.026

Cited by 33 publications

(40 citation statements)

References 34 publications

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“…Muscle quality of the arms (MQIArm, kg/kg) was defined as the ratio between the dominant handgrip strength and dominant arm ASM. 25 ) We defined low MQIArm as -1 SD in our study population, which was 11.04 in male and 10.03 in female. 26 )…”

Section: Methodsmentioning

confidence: 99%

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

Lee

Kim

et al. 2022

Ann Geriatr Med Res

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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.

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Section: Methodsmentioning

confidence: 99%

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

Lee

Kim

et al. 2022

Ann Geriatr Med Res

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“…Therefore, we concluded that significant changes in the lean mass and function related to age occurred between young and middle-aged people (since most studies limited the age of participants to 65 years [ 34 ]), suggesting that the association between muscle and aging is not a unique feature of the elderly. Fat infiltration into the muscles increases with age, which may explain why the quality declines after middle age [ 35 , 36 ].…”

Section: Discussionmentioning

confidence: 99%

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

Liu

et al. 2023

J Transl Med

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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.

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“…Hand dynamometer was applied to measure the HGS and dual-energy X-ray absorptiometry (DXA) was applied to assess the ASM. HGS was tested by a Takei dynamometer (TKK 5401; Takei Scientific Instruments, Tokyo, Japan) and examination details has been described elsewhere [12]. To calculate the ASM, the sum of lean soft tissue from four limbs was tested by body composition, which was assessed by DXA.…”

Section: Measurement Methodsmentioning

confidence: 99%

“…To calculate the ASM, the sum of lean soft tissue from four limbs was tested by body composition, which was assessed by DXA. Details regarding DXA can be found in NHANES data documentation files and related indexes have been described in one previous publication [12].…”

Section: Measurement Methodsmentioning

confidence: 99%

“…To fill this research gap, Lopes, L. et al introduced the muscle quality index (MQI) to assess muscle quality [12]. MQI is a predictor of functional capacity, which has been previously regarded as a better indicator of muscle function compared to muscle mass or grip strength [9], which can quantify the changes in locomotion systems and predict physical functioning as well as longevity.…”

Section: Introductionmentioning

confidence: 99%

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

et al. 2023

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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.

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

Cited by 33 publications

References 34 publications

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

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

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

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

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