Associations between Muscle Strength with Different Measures of Obesity and Lipid Profiles in Men and Women: Results from RaNCD Cohort Study

Pasdar, Yahya; Darbandi, Mitra; Mirtaher, Elham; Rezaeian, Shahab; Najafi, Farid; Hamzeh, Behrooz

doi:10.7762/cnr.2019.8.2.148

Cited by 29 publications

(32 citation statements)

References 27 publications

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“…Our results demonstrate that women with low muscle mass had higher values in adiposity indices (BMI, BAI, WC, WHR, WHtR, CI and LAP) when compared to participants with adequate muscle mass. Our findings are in accordance with the current literature that has shown that obesity is not only related to adverse metabolic outcomes [ 33 – 35 ], but also negatively affects skeletal muscle [ 36 , 37 ].…”

Section: Discussionsupporting

confidence: 93%

Cutoff points of adiposity anthropometric indices for low muscle mass screening in middle-aged and older healthy women

Nascimento

Vieira

Gonçalves

et al. 2021

BMC Musculoskelet Disord

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Background The reduction of female sex hormones causes changes in the contractile properties of muscles as well as infiltration of fat in the muscle tissue. This results in a consequent decline in muscle strength. These changes are related to higher levels of functional impairment and physical disability. In this sense, several anthropometric indices have been used to quantify body and visceral fat. Thus, the objective of this paper is to propose cutoff points for adiposity anthropometric indices in order to identify low muscle mass, as well as to analyze the relationship between these indices and low muscle mass in middle-aged and older women. Methods Cross-sectional analytical study carried out in the Northeast of Brazil. The sample was formed by 593 women between 40—80 years old. Data collection included anthropometric assessment (BMI: Body Mass Index – WC: Waist Circumference – WHR: Waist-to-hip Ratio – WHtR: Waist-to-height Ratio – CI: Conicity Index – BAI: Body Adiposity Index – VAI: Visceral Adiposity Index – LAP: Lipid Accumulation Product), bioimpedance test and biochemical dosage. Moreover, sociodemographic data and practice of physical activity were collected. Descriptive statistics, Student's t-test, ROC curves, chi-squared and logistic regression were performed. Results The participants had a mean age of 53.11 (8.89) years, BMI of 28.49 (5.17) kg/m2 and WC of 95.35 (10.39). The prevalence of low muscle mass was 19.4%. Based on sensitivity and specificity of adiposity anthropometric indices, cutoff points were developed to identify the presence of low muscle mass (p < 0.05), except for VAI. After logistic regression, WC (OR = 6.2; CI 95%: 1.4—28.1), WHR (OR = 1.8; CI: 1.0—3.4), WHtR (OR = 5.0; CI 95%: 1.0—23.7) and BAI (OR = 14.5; CI 95%: 6.6—31.7) were associated with low muscle mass. Conclusions All anthropometric indices, except VAI, showed adequate accuracy in identifying low muscle mass in women, especially those that took into account WC. This suggests that they can become accessible and also be cost-effective strategies for assessing and managing health outcomes related to muscle mass analysis.

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Section: Discussionsupporting

confidence: 93%

Cutoff points of adiposity anthropometric indices for low muscle mass screening in middle-aged and older healthy women

Nascimento

Vieira

Gonçalves

et al. 2021

BMC Musculoskelet Disord

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“…The present study also found the inverse relationship of age with HGS in both men and women, regardless of adjustment for confounding factors. This study also showed that BMI and resistance exercise, two other important determinants of HGS [ 31 , 32 ], are independent factors positively correlated with HGS. Several studies investigating the effect of hydration on muscle strength were unable to completely rule out the effect of weight gain due to water intake.…”

Section: Discussionsupporting

confidence: 67%

Association of Water Intake with Hand Grip Strength in Community-Dwelling Older Adults

et al. 2021

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Although recent clinical studies have suggested that water intake enhances muscle mass, its impact on muscle strength remain unclear, especially in older adults. This cross-sectional, population-based study using a representative sample of Koreans investigated the relationship of water intake with hand grip strength (HGS) in 4443 older adults, including 2090 men aged ≥50 years and 2253 postmenopausal women. A digital grip strength dynamometer was used for HGS assessment. Low muscle strength was defined by the Korean-specific HGS cut-off value and adequate water intake was defined according to the Korean dietary reference intakes. In an unadjusted model, water intake was significantly higher in men and women without than with low muscle strength (both p < 0.001), but this difference disappeared after adjustment for confounding variables in both men (p = 0.050) and women (p = 0.245). Similarly, the correlation between water intake and HGS, the difference in HGS depending on adequate water intake status, and the risk of low muscle strength depending on water intake quartile were significant only in the unadjusted model. These data indicate that factors such as age, body size, and resistance exercise contribute to improvements in HGS in older adults, whereas water intake may not.

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“…Several previous studies have supported the association between HGS and BMI. Pasdar et al 25) reported significantly increased HGS with increasing BMI in both men and women, with a more significant relationship in men than in women. Keevil et al 26) also reported this sex difference, suggesting that it might originate from differences in adipokine levels between men and women.…”

Section: Discussionmentioning

confidence: 94%

Handgrip Strength in the Korean Population: Normative Data and Cutoff Values

Lee

2019

Ann Geriatr Med Res

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Background We aimed to report the age- and sex-specific normative data of Korean handgrip strength (HGS) and to establish the cutoffs values of low HGS in Korean populations. Methods We analyzed the HGS data of 23,716 Koreans (10,793 men and 12,923 women) from the Korea National Health and Nutrition Examination Survey from 2014 to 2017. The means with standard deviations (SDs) of HGS were calculated for each 5-year interval starting from 10 years of age. To determine the relationship between HGS and body mass index (BMI), correlation analysis was also performed. The sex-specific cutoff values for low HGS were presented by deriving the –2 SD values of healthy young adults. Results The mean HGS was 39.5±9.3 kg in men and 24.4±5.3 kg in women. The mean HGS increased from 10 to 39 years and peaked at 35–39 years in both men (46.0±7.2 kg) and women (27.2±4.6 kg). Men showed a higher correlation between HGS and BMI (r=0.378) than did women (r=0.134). The cutoff values for low HGS were 29.6 kg for men and 16.8 kg for women for –2 SD below the reference for healthy young adults. Conclusion In Koreans, the mean HGS peaked at 35–39 years in both men and women, and the aging curve of HGS was steeper in men than in women. The cutoff values for low HGS were 29.6 kg and 16.8 kg for men and women, respectively.

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Associations between Muscle Strength with Different Measures of Obesity and Lipid Profiles in Men and Women: Results from RaNCD Cohort Study

Cited by 29 publications

References 27 publications

Cutoff points of adiposity anthropometric indices for low muscle mass screening in middle-aged and older healthy women

Cutoff points of adiposity anthropometric indices for low muscle mass screening in middle-aged and older healthy women

Association of Water Intake with Hand Grip Strength in Community-Dwelling Older Adults

Handgrip Strength in the Korean Population: Normative Data and Cutoff Values

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