Weight-adjusted waist index reflects fat and muscle mass in the opposite direction in older adults

Abstract Background Age-related changes in body composition include decreased muscle mass and preserved or increased fat mass. There is no anthropometric index to assess both muscle and fat mass. Methods Using a cross-sectional sample of 602 participants aged ≥65 years from the Ansan Geriatric study, we evaluated the association of weight-adjusted waist index (WWI) with muscle and fat mass and compared these with body mass index (BMI) and waist circumference (WC). WWI was calculated as WC (cm) divided by the square root of body weight (kg). Body composition was measured using bioelectrical impedance analysis, dual-energy X-ray absorptiometry and abdominal computed tomography. Results WWI positively correlated with total abdominal fat area (TFA) (r = 0.421, P < 0.001), visceral fat area (VFA) (r = 0.264, P < 0.001), and percentage of total tissue fat (r = 0.465, P < 0.001), but negatively correlated with appendicular skeletal muscle mass (ASM) (r = −0.511, P < 0.001) and ASM/height2 (r = −0.324, P < 0.001). Mean ASM was highest in the first quartile of WWI (17.85 kg/m2) and showed a decreasing trend, with the lowest value in the fourth WWI quartile (13.21 kg/m2, P for trend <0.001). In contrast, mean TFA was lowest in the first quartile and highest in the fourth WWI quartile (P for trend <0.001). The probability of combined low muscle mass and high fat mass was >3× higher in the fourth WWI quartile than in the lowest quartile (odds ratio 3.22, 95% confidence interval 1.32–7.83). Conclusions WWI is an anthropometric index positively associated with fat mass and negatively associated with muscle mass in older adults.

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Hubungan komposisi tubuh dengan kesegaran jasmani pada atlet hockey

Jurnal Keolahragaan ◽

10.21831/jk.v7i2.28085 ◽

2019 ◽

Vol 7 (2) ◽

Author(s):

Nandita Nury Latifah ◽

Ani Margawati ◽

Ayu Rahadiyanti

Keyword(s):

Body Composition ◽

Physical Fitness ◽

Muscle Mass ◽

Body Fat ◽

Bioelectrical Impedance ◽

Impedance Analysis ◽

Percent Body Fat ◽

Cross Sectional ◽

Purposive Sampling ◽

Spearman Test

Komposisi tubuh yang tidak optimal dapat menurunkan kesegaran jasmani atlet sehingga dapat terjadi penurunan performa ketika bertanding. Tujuan dari penelitian ini adalah mengetahui hubungan persen lemak tubuh, persen massa otot, dan somatotype dengan kesegaran jasmani pada atlet hockey. Desain penelitian yaitu cross-sectional dengan jumlah subjek 35 atlet di Pelatihan Hockey Universitas Negeri Semarang dan Universitas Negeri Yogyakarta yang dipilih dengan purposive sampling. Data persen lemak tubuh dan persen massa otot diukur menggunakan bioelectrical impedence analysis (BIA). Data somatotype menggunakan metode antropometri Heath-Carter dan data kesegaran jasmani berupa nilai VO2max diambil menggunakan metode Balke. Analisis data menggunakan uji Pearson, Rank Spearman dan uji regresi linier. Sebagian besar atlet hockey (54,3%) memiliki nilai VO2max dengan kategori baik. Nilai persen lemak tubuh terendah 6,8% dan nilai tertinggi 35%. Nilai persen massa otot terendah 23,9% dan nilai tertinggi 40,9%. Nilai rata-rata dari nilai endomorph, mesomorph, dan ectomorph adalah (-0,04)±0,3; 4,2±0,9; dan 2,3±1,2. Ada hubungan yang signifikan antara persen lemak tubuh (p<0,001), persen massa otot (p<0,001), nilai endomorph (p<0,001), dan nilai ectomorph (p=0,016) dengan nilai VO2max. Variabel yang paling berkaitan dengan nilai VO2max adalah persen lemak (p<0,001). Correlation of body composition with physical fitness of hockey athletes AbstractSuboptimal body composition could reduce the physical fitness and performance of athletes. This study analyzed the relationship of percent body fat, percent muscle mass and somatotype on physical fitness in hockey athletes. This study was a cross-sectional study with 35 athletes in Pelatihan Hockey Universitas Negeri Semarang and Universitas Negeri Yogyakarta which selected by purposive sampling. Percent body fat and percent muscle mass were measured using bioelectrical impedance analysis (BIA). Somatotype measurement used the anthropometric Heath-Carter method and physical fitness (VO2max) measurement by the Balke method. Data were analyzed using the Pearson test, Rank-Spearman test, and Linear Regression test. Most hockey athletes (54.3%) had good VO2max value. The lowest percentage of body fat was 6.8%. The highest percentage of muscle mass was 40.9%. The average value of the endomorph, mesomorph, and ectomorph values were (-0.04) ± 0.3; 4.2 ± 0,9; and 2.3 ± 1.2. There were a significant relationship between percent body fat (p <0.001), percent muscle mass (p <0.001), endomorph value (p <0.001), and ectomorph value (p = 0.016) with VO2max value. Percent of body fat was the most related variable to VO2max (p<0.001).

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Snoring is associated with body composition in （peri-post）menopausal women

10.21203/rs.2.12092/v1 ◽

2019 ◽

Author(s):

minfang tao ◽

yang zhou ◽

fei liu ◽

changbin li ◽

yanwei zheng ◽

...

Keyword(s):

Body Composition ◽

Fat Mass ◽

Chinese Women ◽

Bioelectrical Impedance ◽

Impedance Analysis ◽

Menopausal Transition ◽

Cross Sectional ◽

Obstructive Sleep ◽

Menopausal Women ◽

Post Menopausal

Abstract Background: Little attention has been paid to whether snoring frequency is associated with body composition in menopausal women, particularly in China. This study objected to investigate the association between self-reported snoring and body composition in (peri-post) menopausal Chinese women as well as glucose/lipid metabolic indicators. Methods: This cross-sectional study enrolled 715 participants aged 40-67 years from the Menopause Clinic in the Shanghai Sixth People’s Hospital. Participants were categorized into four subgroups stratified by self-reported snoring frequency: never, rarely (<1 night per week), occasionally (1-2 nights per week), regularly (≥3 nights per week), while body composition was measured using bioelectrical impedance analysis(BIA).Besides, blood sample were collected to test the glycolipid indicators. Results: In our sample of investigation, regular snoring (≥3 nights per week) was found to be an independent risk factor for higher fat mass (total, upper limbs, trunk), with the highest risk of 2.4 times for fat mass of trunk after adjusting for glucose/lipid metabolic confounders(p=0.003). Meanwhile, regular snoring was independently associated with higher fat mass (total and each segment) only in the menopausal transition (p=0.023). Conclusion: We suggested that self-reported regular snoring may be taken as a simple alternative to predict higher fat mass (≥17.11kg, upper quartile) in menopausal women. Similarly, body composition should be attached to the great importance to those who in menopausal transition in order to help to prevent obstructive sleep apnea(OSA).

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Using Assistive Health Technology to Assess Fall Risk Appraisal, Body Composition, and Physical Activity

Innovation in Aging ◽

10.1093/geroni/igab046.100 ◽

2021 ◽

Vol 5 (Supplement_1) ◽

pp. 28-28

Author(s):

Ladda Thiamwong ◽

Joon-Hyuk Park ◽

Renoa Choudhury ◽

Oscar Garcia ◽

Maxine Furtado ◽

...

Keyword(s):

Physical Activity ◽

Older Adults ◽

Body Composition ◽

Fall Risk ◽

Fear Of Falling ◽

Bioelectrical Impedance ◽

Impedance Analysis ◽

Health Technology ◽

Cross Sectional ◽

Risk Appraisal

Abstract One-third of older adults have a discrepancy between perceived and physiological fall risks or maladaptive fall risk appraisal (FRA). Older adults who report high fear of falling and overestimate their physiological fall risk are less likely to participate in physical activity (PA). Limited data suggest the interrelation between fall risk appraisal, body composition, and objective measured PA. This cross-sectional study examines the feasibility of recruitment and acceptability of Assistive Health Technology (AHT), including the BTrackS Balance System (BBS), Bioelectrical Impedance Analysis (InBody s10), and ActiGraph GT9X Link wireless activity monitor. This study demonstrates the benefits of using AHT to study the associations among FRA, body composition, and PA in older adults. We hypothesize that rational FRA is associated with higher levels of PA and skeletal muscle mass and lower levels of percent of body fat and body mass index. Topics presentation included research protocol and preliminary results.

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HIGHER APPENDICULAR AND TRUNK FAT MASS USING BIOELECTRICAL IMPEDANCE ANALYSIS ARE RELATED TO HIGHER RESTING BLOOD PRESSURE IN OLDER ADULTS

Journal of Aging Research and Lifestyle ◽

10.14283/jarcp.2015.66 ◽

2015 ◽

pp. 1-5

Author(s):

D. Takagi ◽

M. Kageyama ◽

S. Kojima ◽

Y. Nishida

Keyword(s):

Blood Pressure ◽

Older Adults ◽

Mean Arterial Pressure ◽

Muscle Mass ◽

Fat Mass ◽

Bioelectrical Impedance Analysis ◽

Bioelectrical Impedance ◽

Impedance Analysis ◽

Resting Blood Pressure ◽

Left And Right

Background: Little is known about how fat mass and muscle mass in different parts of the body (e.g., appendages, trunk) using bioelectrical impedance analysis influences resting blood pressure in older adults. Objective: The purpose of the study was to clarify the association between resting blood pressure and muscle mass and fat mass in older adults using bioelectrical impedance analysis. Design: A cross-sectional study. Settings: A sample living independently in the community. Participants: The subjects were older adults between the ages of 65 and 85 years (n = 100). Measurements: Systolic, diastolic and mean arterial pressure was measured using an automatic hemodynamometer, and bioelectrical impedance analysis was used to estimate muscle mass and fat mass. Results: A positive correlation was observed between total fat mass, left and right arm fat mass, trunk fat mass, and left and right leg fat mass and resting systolic, diastolic and mean arterial pressure (p < 0.05), but this was not observed with any muscle mass (p > 0.05). In a multiple regression analysis adjusted for sex, systolic, diastolic and mean arterial pressure were independently predicted by total fat mass, left and right arm fat mass, trunk fat mass, and left and right leg fat mass (p < 0.05). Conclusions: These findings suggest that total, appendicular, and trunk fat mass, measured using bioelectrical impedance analysis, could aid in detecting the factors that increase blood pressure in clinical settings and even in daily life, thereby helping in controlling blood pressure.

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LOSS OF POSTERIOR OCCLUDING TEETH AND ITS ASSOCIATION WITH PROTEIN-MICRONUTRIENTS INTAKE AND MUSCLE MASS AMONG THAI ELDERS: A PILOT STUDY

Journal of Frailty & Aging ◽

10.14283/jfa.2019.2 ◽

2019 ◽

pp. 1-4

Author(s):

B. Treesattayakul ◽

T. Winuprasith ◽

B. Theeranuluk ◽

D. Trachootham

Keyword(s):

Older Adults ◽

Muscle Mass ◽

Large Scale ◽

Outcome Measurement ◽

Bioelectrical Impedance ◽

Impedance Analysis ◽

Cross Sectional Study ◽

Protein Food ◽

Cross Sectional ◽

Posterior Teeth

Contact between upper and lower posterior teeth is crucial for chewing. However, the influence of posterior occluding teeth loss on protein intake and muscle mass was unclear. This cross-sectional study compared consumption frequency of protein food, amount of protein and relevant micronutrient intakes and muscle mass indices among older adults with different Eichner indices (EI) of posterior occluding teeth loss. Ninety Thai healthy adults were divided into three groups (N=30 each) according EI with statistically comparable characters. Food frequency questionnaire, 4-days diet record, and bioelectrical impedance analysis were used for outcome measurement. Our findings suggested that loss of posterior occluding teeth on both sides was associated with less frequent consumption of meat, nut, egg, fish and dairy products, inadequate intakes of protein (< 0.8 g/kg body weight), iron and vitamin B12, and reduced muscle mass indices in older adults. Future large-scale cohort studies are warranted to confirm these findings.

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Pandemic effect on body composition. Single center analysis of 2.771 cases.

10.1101/2021.03.29.21254558 ◽

2021 ◽

Author(s):

Fabricio Braga ◽

Roberto Zagury ◽

Cristiane Perroni ◽

Victor Hugo Domecg

Keyword(s):

Body Composition ◽

Body Fat ◽

Fat Mass ◽

Dietary Habits ◽

Statistical Significance ◽

Bioelectrical Impedance ◽

Impedance Analysis ◽

P Value ◽

Visceral Fat Area ◽

Significance Level

Background: The COVID-19 pandemic has led to a dramatic increase in the levels of sedentary lifestyle and unhealthy dietary habits. A worsening in populational obesity levels and body composition (BC) is strongly awaited but so far not documented. Objective: To compare BC profile measured by bioelectrical impedance analysis (BIA) between pre-pandemic (P1-03/15th/2017 to 03/16th/2020) and pandemic (P2-3/17th/2020 to 3/10th/2021) period of time. Materials and Methods: BIA were grouped according to the time it was performed. Two comparisons were done: an independent sample comparison (ISC) and a paired sample comparison (PSC) considering patients with at least one BIA in P1 and P2. Age, height, gender, weight, body mass index (BMI), body fat mass (BFM), free fat mass (FFM), skeletal muscle mass (SMM), percentage of body fat (PBF), visceral fat area (VFA) were compared. Statistical significance level was defined for a p value<0.05. Results and Discussion: A total of 3.358 BIA were performed, and 2.771 and 112 were selected for IS and PS, respectively. In ISC, despite an unchanged weight, BFM, FFM, PBF and VFA increased and SSM decreased on P2(p<0.015 for all). A multivariated linear regression model using PBF as dependent variable showed P2 as an independent predictor (β=0.38 95%CI 0.19 to 0.56). In the PSC, PBF also increased from P1 to P2 (p=0.015). To our knowledge this is the first documentation of worsening BC after pandemic. Health authorities should be alert for this phenomenon and their clinical consequences in the days to come.

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Effects of the COVID-19 pandemic on body composition among patients with rheumatoid arthritis

Modern Rheumatology ◽

10.1093/mr/roab018 ◽

2021 ◽

Author(s):

Takeshi Mochizuki ◽

Koichiro Yano ◽

Katsunori Ikari ◽

Ken Okazaki

Keyword(s):

Rheumatoid Arthritis ◽

Body Composition ◽

Muscle Mass ◽

Fat Mass ◽

Bioelectrical Impedance Analysis ◽

Bioelectrical Impedance ◽

Impedance Analysis ◽

Fat Free Mass ◽

Fat Mass Index

ABSTRACT Objectives To evaluate effects of the COVID-19 pandemic on body composition among patients with rheumatoid arthritis (RA). Methods A total 102 patients with RA were enrolled. We examined muscle mass, fat-free mass index (FFMI) and fat mass index (FMI) values using bioelectrical impedance analysis between November 2019 and January 2020 (for the first measurement) and September 2020 and January 2021 (for the second measurement). Results The muscle mass was significantly decreased from a median of 34.6 kg at the first measurement to a median of 33.9 kg at the second measurement (p = 0.002). The FFMI was significantly decreased from a median of 15.3 at the first measurement to a median of 14.8 at the second measurement (p = 0.011). Conclusions The present study reveals that muscle mass and FFMI decreased among patients with RA during the COVID-19 pandemic.

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Association of snoring and body compostion in （peri-post）menopausal women

10.21203/rs.2.12092/v2 ◽

2020 ◽

Author(s):

Minfang Tao ◽

Yang Zhou ◽

Fei Liu ◽

Changbin Li ◽

Yanwei Zheng ◽

...

Keyword(s):

Body Composition ◽

Fat Mass ◽

Chinese Women ◽

Bioelectrical Impedance ◽

Impedance Analysis ◽

Menopausal Transition ◽

Cross Sectional ◽

Obstructive Sleep ◽

Menopausal Women ◽

Post Menopausal

Abstract Background: Little attention has been paid to whether snoring frequency is associated with body composition in menopausal women, particularly in China. This study objected to investigate the association between self-reported snoring and body composition in (peri-post) menopausal Chinese women as well as metabolic indicators.Methods: This cross-sectional study enrolled 715 participants aged 40-67 years from the Menopause Clinic in the Shanghai Sixth People’s Hospital. Participants were categorized into four subgroups stratified by self-reported snoring frequency: never, rarely (<1 night per week), occasionally (1-2 nights per week), regularly (≥3 nights per week), while body composition was measured using bioelectrical impedance analysis (BIA).Besides, blood sample were collected to test the glycolipid indicators. Results: In our sample of investigation, regular snoring (≥3 nights per week) was found to be an independent risk factor for higher fat mass (total, upper limbs, trunk), with the highest risk of 2.4 times for fat mass of trunk after adjusting for metabolic confounders(p=0.003). Meanwhile, regular snoring was independently associated with higher fat mass (total and each segment) only in menopausal transition (p=0.023).Conclusions: We suggested that self-reported regular snoring may be taken as a simple alternative to predict higher fat mass (≥17.11kg, upper quartile) in menopausal women. Similarly, body composition should be attached to the great importance to those who in menopausal transition in order to help to prevent obstructive sleep apnea (OSA).

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Gender-specific analysis for the association between trunk muscle mass and spinal pathologies

Scientific Reports ◽

10.1038/s41598-021-87334-4 ◽

2021 ◽

Vol 11 (1) ◽

Author(s):

Yusuke Hori ◽

Masatoshi Hoshino ◽

Kazuhide Inage ◽

Masayuki Miyagi ◽

Shinji Takahashi ◽

...

Keyword(s):

Muscle Mass ◽

Bioelectrical Impedance ◽

Vertical Axis ◽

Impedance Analysis ◽

Poor Quality ◽

Trunk Muscle ◽

Sagittal Vertical Axis ◽

Cross Sectional ◽

Lower Trunk ◽

Significant Difference

AbstractWe investigated the relationship between trunk muscle mass and spinal pathologies by gender. This multicenter cross-sectional study included patients aged ≥ 30 years who visited a spinal outpatient clinic. Trunk and appendicular muscle mass were measured using bioelectrical impedance analysis. The Oswestry Disability Index (ODI), visual analog scale (VAS) score for low back pain, sagittal vertical axis (SVA), and EuroQol 5 Dimension (EQ5D) score were investigated to evaluate spinal pathology. The association between trunk muscle mass and these parameters was analyzed by gender using a non-linear regression model adjusted for patients’ demographics. We investigated the association between age and trunk muscle mass. We included 781 men and 957 women. Trunk muscle mass differed significantly between men and women, although it decreased with age after age 70 in both genders. Lower trunk muscle mass was significantly associated with ODI, SVA, and EQ5D score deterioration in both genders; its association with VAS was significant only in men. Most parameters deteriorated when trunk muscle mass was < 26 kg in men and < 19 kg in women. Lower trunk muscle mass was associated with lumbar disability, spinal imbalance, and poor quality of life in both genders, with significant difference in muscle mass.

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