Cut-off points for weight and body mass index adjusted bioimpedance analysis measurements of muscle mass

Bahat, Gülistan; Tufan, Aslı; Kılıç, Cihan; Öztürk, Savaş; Akpınar, Timur Selçuk; Köse, Murat; Erten, Nilgün; Karan, Mehmet Akif; Cruz-Jentoft, Alfonso J.

doi:10.1007/s40520-018-1042-6

Cited by 25 publications

(29 citation statements)

References 24 publications

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“…<22 kg in women and <32 kg in men) were used in this calculation . The corresponding local cut‐off points for SMMI (BMI) were <0.677 kg/BMI in women and <1.017 kg/BMI in men …”

Section: Methodsmentioning

confidence: 99%

“…17 Accordingly, participants were classified as having a low MM (height 2 ) and low MM (weight) if SMMI (height 2 ): women <7.4 kg/m 2 and men <9.2 kg/m 2 ,16 or if SMMI (weight): women <33.6% and men <37.4%. 17 Cut-off points for SMMI (BMI) were defined as having a SMMI (BMI) lower than the value that discriminates the muscle weakness as suggested by the Foundation for the National Institutes of Health group. 10 Local reference muscle weakness cut-off points (i.e.…”

Section: Assessment Of MM With Different Adjustment Methodsmentioning

confidence: 99%

“…Low MM was defined using cut‐off points based on a national representative population, using a mean 2 SD of a previously reported healthy young adult group for SMMI (height 2 ) [low MM(height 2 )] and for SMMI (weight) [low MM(weight)] . Accordingly, participants were classified as having a low MM (height 2 ) and low MM (weight) if SMMI (height 2 ): women <7.4 kg/m 2 and men <9.2 kg/m 2 ,16 or if SMMI (weight): women <33.6% and men <37.4% . Cut‐off points for SMMI (BMI) were defined as having a SMMI (BMI) lower than the value that discriminates the muscle weakness as suggested by the Foundation for the National Institutes of Health group .…”

Section: Methodsmentioning

confidence: 99%

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Association of different bioimpedanciometry estimations of muscle mass with functional measures

Bahat

Kılıç

İlhan

et al. 2019

Geriatrics Gerontology Int

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Aim To investigate the muscle mass adjustment technique that best correlates with functional measures. Methods A cross‐sectional study was designed. Community‐dwelling older adults aged ≥60 years were assessed for body composition and functional measures between November 2012 and July 2017 in the geriatric outpatient clinic of a university hospital. Body composition was assessed with bioimpedance analysis. Skeletal muscle mass (SMM) was adjusted by height2, weight or body mass index (BMI). Functional and disability measures included handgrip strength assessed by a Jamar hydraulic hand dynamometer, gait speed by 4‐m usual gait speed, frailty by the Fatigue, Resistance, Ambulation, Illnesses and Loss of Weight scale score, activities of daily living (ADL) and instrumental ADL scores. Nutrition was evaluated by the Mini Nutritional Assessment – Short Form. Results A total of 1437 older adults (458 men, 979 women) with a mean age of 74.6 ± 7.0 years were included. The prevalences of low muscle mass were 2.4%, 47.8% and 20.3% when SMM was adjusted by height2, weight and BMI, respectively. Multivariate analyses adjusted for age, number of diseases, drugs and the Mini Nutritional Assessment – Short Form score revealed that when the SMM was adjusted by BMI, low muscle mass showed better associations with grip strength, gait speed, ADL, instrumental ADL and frailty than the height2 or the weight‐adjusted SMM. Conclusions SMM adjustment by BMI to designate low muscle mass was better associated with functional and disability measures than adjustment by height2 and weight. The present results put forward the SMM index (by BMI) as the best adjustment method for SMM. These findings might be relevant for defining both sarcopenia and malnutrition. Geriatr Gerontol Int 2019; 19: 593–597.

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“…<22 kg in women and <32 kg in men) were used in this calculation . The corresponding local cut‐off points for SMMI (BMI) were <0.677 kg/BMI in women and <1.017 kg/BMI in men …”

Section: Methodsmentioning

confidence: 99%

Section: Assessment Of MM With Different Adjustment Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

See 1 more Smart Citation

Association of different bioimpedanciometry estimations of muscle mass with functional measures

Bahat

Kılıç

İlhan

et al. 2019

Geriatrics Gerontology Int

Self Cite

View full text Add to dashboard Cite

show abstract

“…Although increased body mass relative overall body size (i.e., height 2 ), this may occur due to an increase in skeletal muscle mass [ 26 , 27 ], more often in police officers it suggests accumulation of excess fat mass [ 28 , 29 ]. In contrast, body mass that is too low relative to the size of the individual may suggest insufficient muscle mass [ 30 ]. Therefore, these two indicators together provide some measure of the general health status and could be considered health-related components of physical fitness [ 1 , 31 ].…”

Section: Methodsmentioning

confidence: 99%

Perceived and Measured Physical Fitness of Police Students

Kukić¹,

Lockie

Vesković

et al. 2020

IJERPH

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The physical fitness of police officers needs to support good health and physical performance. Physical fitness comprises a considerable amount of training for police students who are to become police officers. However, to what degree police students are able to perceive their fitness level and differentiate between health-related and performance-related physical fitness is unknown. Therefore, the first aim of this study was to investigate the possibility of differentiation between health-related and performance-related physical fitness using physical self-concept and measured indicators of physical fitness. The second aim of this study was to investigate the association between components of physical self-concept and measured indicators of physical fitness of police students. The sample of 177 police students of both sexes (98 males and 79 females) completed a 40-item physical self-description questionnaire and their physical abilities were assessed for handgrip strength, standing long jump, 30 s sit-ups, and 12-min running. Principal component analysis established health-related and performance-related physical fitness from both perceived and measured physical fitness measures. Correlation analysis revealed a significant relationship between the perceived and measured physical fitness. Results suggest small to moderate ability to recognize the level of certain physical abilities, indicating the association between psychological mechanisms and biological functioning.

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“…These figures are for skeletal muscle mass adjusted (indexed by) height 2 (m 2 ). Low skeletal muscle mass index cutoffs have also been published for total skeletal muscle mass adjusted by body mass index or weight in Turkish population (10,11). Last point is that, one can use these recommended total or appendicular skeletal muscle mass thresholds when the skeletal muscle mass is assessed either by DXA or BIA.…”

Section: ) Ewgsop2 Recommended Some Specific Cut-offs But Also Recommentioning

confidence: 99%

Putting Sarcopenia at the Forefront of Clinical Practice

Bahat¹,

Cruz-Jentoft²

2019

ejgg

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Cut-off points for weight and body mass index adjusted bioimpedance analysis measurements of muscle mass

Cited by 25 publications

References 24 publications

Association of different bioimpedanciometry estimations of muscle mass with functional measures

Association of different bioimpedanciometry estimations of muscle mass with functional measures

Perceived and Measured Physical Fitness of Police Students

Putting Sarcopenia at the Forefront of Clinical Practice

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