Association between Basal Metabolic Rate and Handgrip Strength in Older Koreans

Oh, Sung-Kwan; Son, Da‐Hye; Kwon, Yu‐Jin; Lee, Hye Sun; Lee, Jiwon

doi:10.3390/ijerph16224377

Cited by 15 publications

(15 citation statements)

References 35 publications

(52 reference statements)

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“…Moreover, changes in skeletal muscle mass and strength may reflect changes in energy metabolism with aging. In a recent Korean study, handgrip strength was found to be positively associated with the basic metabolic rate (BMR) in 2512 older adults [27]. Thus, a decrease in strength may reflect a loss of skeletal muscle mass.…”

Section: Discussionmentioning

confidence: 99%

Associations between Handgrip Strength with Adverse Cardiometabolic Health among Representative Korean Adults

Kim

2019

IJERPH

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Reduced muscle mass and strength are notable features of aging. Loss of muscle mass contributes to cardiometabolic health. Although many studies have focused on skeletal muscle mass, it remains unclear whether muscle strength is beneficial for cardiometabolic health. We aimed to investigate the association between handgrip strength and the risk of adverse cardiometabolic health in middle-aged and older adults in the Korean general population. The study participants included 7602 adults from the Korea National Health and Nutritional Examination Survey (KNHANES). The odds ratio for adverse cardiometabolic health significantly and linearly decreased according to the category of handgrip strength adjusted for potential confounding factors (p-Value < 0.05). In the stratified models by sex we also observed significant associations between handgrip strength and cardiometabolic health in men (p-Value < 0.001), but not in women. Our findings suggest that maintaining higher handgrip strength may contribute to improved cardiometabolic health.

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Section: Discussionmentioning

confidence: 99%

Associations between Handgrip Strength with Adverse Cardiometabolic Health among Representative Korean Adults

Kim

2019

IJERPH

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“…BMR is more closely associated with BMD in elderly persons than BMI, FM, and FFM [15,20,21]. BMR is also positively associated with muscle strength [27] while muscle strength and BMD also are correlated [28,29]. Also, our results showed that the AUC of BMR is higher than FFM, and FM, suggesting that BMR might be a good predictor for osteoporosis.…”

Section: Discussionmentioning

confidence: 48%

Predicting Osteoporosis with Body Compositions in Postmenopausal Women: A Noninvasive Method

Hsu

Fan

et al. 2020

Preprint

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Background: The prevalence of osteoporosis is rising steadily as the aging population increases. Bone mineral density (BMD) assessment is an established test for osteoporosis. However, the accessibility and radiation exposure limited its role in community screening. A more convenient approach for screening is suggested.Methods: A total of 363 postmenopausal women over 50 age were included in this study and assessed with the body composition [including fat-free mass (FFM), fat mass (FM), and basal metabolic rate (BMR)] and BMD. Normal distributions and correlation coefficients among variables were calculated using the Shapiro-Wilk test and Pearson’s correlation analysis, respectively. A receiver operating characteristic (ROC) curve was plotted and area under the ROC curves (AUC) was determined the optimal cut-off values of the body composition variables for osteoporosis prediction.Results: The correlation coefficient of FFM, FM, FM ratio and BMR with femur neck T-score were 0.373, 0.266, 0.165, and 0.369, respectively while with spine T-score were 0.350, 0.251, 0.166, and 0.352, respectively (p < 0.01 for all). FFM, FM, and BMR showed an optimal the cut-off value of 37.9 kg, 18.6 kg and 1187.5 kcal for detecting osteoporosis.Conclusions: The present study provided a model to predict osteoporosis in postmenopausal women and the optimal cut-off value of FFM, FM, and BMR could be calculated. Among these factors, BMR seemed a better predictor than others. The BMR could be a target for exercise intervention in postmenopausal women for maintaining or improving BMD.Trial registration: ClinicalTrials.gov, NCT02936336. Registered 13 October 2016 -Retrospectively registered

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“…However, BMR is more closely associated with BMD in elderly persons than BMI, FM, and FFM [ 18 , 22 , 23 ]. BMR is positively associated with muscle strength [ 30 ] while muscle strength and BMD also are correlated [ 31 , 32 ]. Our results also showed that the AUC of BMR is higher than FFM and FM, suggesting that BMR might be a good predictor for osteoporosis.…”

Section: Discussionmentioning

confidence: 99%

Predicting osteoporosis with body compositions in postmenopausal women: a non-invasive method

2021

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Background The prevalence of osteoporosis is rising steadily as the aging population increases. Bone mineral density (BMD) assessment is a golden standard to establish the diagnosis of osteoporosis. However, the accessibility and radiation exposure limited its role in community screening. A more convenient approach for screening is suggested. Methods A total of 363 postmenopausal women over the age of 50 were included in this study and assessed with the body composition [including fat-free mass (FFM), fat mass (FM), and basal metabolic rate (BMR)] and BMD. Normal distributions and correlation coefficients among variables were calculated using the Shapiro-Wilk test and Pearson’s correlation analysis, respectively. A receiver operating characteristic (ROC) curve was plotted, and the area under ROC curves (AUC) was determined to obtain the optimal cutoff values of the body composition variables for osteoporosis prediction. Results The correlation coefficient of FFM, FM, FM ratio, and BMR with femur neck T-score was 0.373, 0.266, 0.165, and 0.369, respectively, while with spine T-score was 0.350, 0.251, 0.166, and 0.352, respectively (p < 0.01 for all). FFM, FM, and BMR showed an optimal cutoff value of 37.9 kg, 18.6 kg, and 1187.5 kcal, respectively, for detecting osteoporosis. Conclusions The present study provided a model to predict osteoporosis in postmenopausal women, and the optimal cutoff value of FFM, FM, and BMR could be calculated in the Asian population. Among these factors, BMR seemed a better predictor than others. The BMR could be a target for exercise intervention in postmenopausal women for maintaining or improving BMD. Trial registration ClinicalTrials.gov, NCT02936336. Retrospectively registered on13 October 2016.

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Association between Basal Metabolic Rate and Handgrip Strength in Older Koreans

Cited by 15 publications

References 35 publications

Associations between Handgrip Strength with Adverse Cardiometabolic Health among Representative Korean Adults

Associations between Handgrip Strength with Adverse Cardiometabolic Health among Representative Korean Adults

Predicting Osteoporosis with Body Compositions in Postmenopausal Women: A Noninvasive Method

Predicting osteoporosis with body compositions in postmenopausal women: a non-invasive method

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