scholarly journals Low body mass index negatively affects muscle mass and intramuscular fat of chronic stroke survivors

PLoS ONE ◽  
2019 ◽  
Vol 14 (1) ◽  
pp. e0211145 ◽  
Author(s):  
Naoki Akazawa ◽  
Kazuhiro Harada ◽  
Naomi Okawa ◽  
Kimiyuki Tamura ◽  
Hideki Moriyama
Keyword(s):  
Body Mass Index ◽  
Muscle Mass ◽  
Body Mass ◽  
Intramuscular Fat ◽  
Chronic Stroke ◽  
Stroke Survivors ◽  
Low Body Mass Index

Indicators of Sarcopenia: Sex Differences in Competitive Runners Prior to Peak Muscle Mass

2020 ◽  
Vol 41 (14) ◽  
pp. 1067-1076
Author(s):  
Todd C. Shoepe ◽  
William P. McCormack ◽  
Joseph W. LaBrie ◽  
Grant T. Mello ◽  
Hawley C. Almstedt
Keyword(s):  
Body Mass Index ◽  
Muscle Mass ◽  
Body Mass ◽  
Handgrip Strength ◽  
Muscle Quality ◽  
Upper Body ◽  
Whole Body ◽  
Low Body Mass Index ◽  
One Year ◽  
Diagnostic Indicator

AbstractStrength, muscle mass, and muscle quality have been observed to be compromised in low body-mass index individuals such as competitive runners, increasing their risk for sarcopenia. The purpose was to compare indices of sarcopenia in young runners to age, height, body-mass, and body-mass index-matched non-runners. Handgrip strength and arm composition from dual-energy x-ray absorptiometry (baseline-T1, T2=5.3±1.4, T3=11.5±0.7 months later) were assessed in 40 non-runners and 40 runners (19.3±0.7 vs. 19.2±1.1 years, 170.7±10.3 vs. 171.1±9.1 cm, 60.2±7.4 vs. 60.2±7.9 kg, 20.6±0.9 vs. 20.5±1.5 kg m-2). The unitless variable of muscle quality, was defined as the sum of right and left maximal handgrip (in kg) divided by the sum of bone-free lean mass of both arms (in kg). Female runners displayed the highest muscle quality (T1=15.3±1.7; T3=15.7±2.0) compared to male runners (T1=13.7±1.4, p < 0.001; T3=14.2±1.6, p < 0.001) and male non-runners (T1=12.4±1.8, p=0.001; T3=13.2±1.6, p < 0.001), while female non-runners (T1=14.6±2.5, p=0.154; T3=15.1 ±2.2, p=0.124) showed higher muscle quality than male non-runners. Higher muscle quality in low-body-mass index females persists over one-year during young-adulthood and while running contributes to whole-body muscle mass accrual, it does not appear to be significantly associated with improvements in the most commonly used upper-body diagnostic indicator of sarcopenia.

The biopsychosocial assessment of people with low body mass index

2016 ◽  
Vol 20 (2) ◽  
pp. 64-71
Author(s):  
Funda Yıldırım Baş ◽  
Bahriye Arslan ◽  
Yasemin Türker
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Low Body Mass Index ◽  
Biopsychosocial Assessment

Effects of a resistance training community programme in older adults

2021 ◽  
pp. 1-16
Author(s):  
Majid Mufaqam Syed-Abdul ◽  
Chrissa L. McClellan ◽  
Elizabeth J. Parks ◽  
Stephen D. Ball
Keyword(s):  
Older Adults ◽  
Body Mass Index ◽  
Resistance Training ◽  
Muscle Mass ◽  
Body Mass ◽  
Fat Mass ◽  
Training Programme ◽  
Haemoglobin A1c ◽  
Community Based ◽  
Resistance Training Programme

Abstract Ageing is associated with reduced muscle mass, strength, flexibility and balance, resulting in a poor quality of life (QOL). Past studies have occurred in highly controlled laboratory settings which provide strong support to determine whether similar gains can be made in community programmes. Twenty participants were enrolled in an eight-week community-based resistance training programme (mean age = 61.3 (standard error (SE) = 0.9) years); Body Mass Index = 32.0 (SE = 1.3) kg/m2). All participants completed surveys to assess outcomes associated with QOL. Given the relationship between muscle function and nerve health, nerve conduction studies (NCS) were also conducted in a separate group of participants (mean age = 64.9 (SE = 2.0) years; Body Mass Index = 32.6 (SE = 1.9) kg/m2). This community-based training programme significantly improved QOL measures in older adults (p < 0.001). Although weight loss was not the primary outcome of the study, participants reduced their body weights (p < 0.001), by primarily reducing fat mass (p = 0.007) while maintaining muscle mass. Significant improvements were observed in muscle strength (2.2%), flexibility and balance (3.2–464.2%, p ⩽ 0.05 for all). Improvements were also observed in plasma glucose (p = 0.05), haemoglobin A1C (p = 0.06) and aldolase enzyme levels (p < 0.001). Scores for surveys on memory and sleep improved (p < 0.05). Improved QOL was associated with increased lean mass (r = −0.714, p = 0.002), decreased fat mass (r = −0.702, p = 0.003) and improved flexibility and balance (r = −0.627, p = 0.008). An eight-week, community-based resistance training programme significantly improved QOL in older adults. Influence on the lipid profile and NCS still needs further investigation.

scholarly journals Effects of a novel mobile health intervention compared to a multi-component behaviour changing program on body mass index, physical capacities and stress parameters in adolescents with obesity: a randomized controlled trial

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
A. Stasinaki ◽  
D. Büchter ◽  
C.-H. I. Shih ◽  
K. Heldt ◽  
S. Güsewell ◽  
...  
Keyword(s):  
Health Care ◽  
Body Mass Index ◽  
Muscle Mass ◽  
Body Mass ◽  
Body Fat ◽  
Mobile Health ◽  
Health Intervention ◽  
Randomized Controlled ◽  
Physical Capacities ◽  
Stress Parameters

Abstract Background Less than 2% of overweight children and adolescents in Switzerland can participate in multi-component behaviour changing interventions (BCI), due to costs and lack of time. Stress often hinders positive health outcomes in youth with obesity. Digital health interventions, with fewer on-site visits, promise health care access in remote regions; however, evidence for their effectiveness is scarce. Methods This randomized controlled not blinded trial (1:1) was conducted in a childhood obesity center in Switzerland. Forty-one youth aged 10–18 years with body mass index (BMI) > P.90 with risk factors or co-morbidities or BMI > P.97 were recruited. During 5.5 months, the PathMate2 group (PM) received daily conversational agent counselling via mobile app, combined with standardized counselling (4 on-site visits). Controls (CON) participated in a BCI (7 on-site visits). We compared the outcomes of both groups after 5.5 (T1) and 12 (T2) months. Primary outcome was reduction in BMI-SDS (BMI standard deviation score: BMI adjusted for age and sex). Secondary outcomes were changes in body fat and muscle mass (bioelectrical impedance analysis), waist-to-height ratio, physical capacities (modified Dordel-Koch-Test), blood pressure and pulse. Additionally, we hypothesized that less stressed children would lose more weight. Thus, children performed biofeedback relaxation exercises while stress parameters (plasma cortisol, stress questionnaires) were evaluated. Results At intervention start median BMI-SDS of all patients (18 PM, 13 CON) was 2.61 (obesity > + 2SD). BMI-SDS decreased significantly in CON at T1, but not at T2, and did not decrease in PM during the study. Muscle mass, strength and agility improved significantly in both groups at T2; only PM reduced significantly their body fat at T1 and T2. Average daily PM app usage rate was 71.5%. Cortisol serum levels decreased significantly after biofeedback but with no association between stress parameters and BMI-SDS. No side effects were observed. Conclusions Equally to BCI, PathMate2 intervention resulted in significant and lasting improvements of physical capacities and body composition, but not in sustained BMI-SDS decrease. This youth-appealing mobile health intervention provides an interesting approach for youth with obesity who have limited access to health care. Biofeedback reduces acute stress and could be an innovative adjunct to usual care.

scholarly journals Factors Associated with Low Body Mass Index in Huntington's Disease: A Spanish Multicenter Study of the European Huntington's Disease Registry

2016 ◽  
Vol 3 (5) ◽  
pp. 452-459
Author(s):  
Esther Cubo ◽  
Jessica Rivadeneyra ◽  
Natividad Mariscal ◽  
Asunción Martinez ◽  
Diana Armesto ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Huntington's Disease ◽  
Huntington’S Disease ◽  
Body Mass ◽  
Multicenter Study ◽  
Disease Registry ◽  
Factors Associated ◽  
Low Body Mass Index

Impact of Low Body Mass Index on Features of Coronary Culprit Plaques and Outcomes in Patients With Acute Coronary Syndrome

2021 ◽  
Author(s):  
Nobuaki Kobayashi ◽  
Yusaku Shibata ◽  
Osamu Kurihara ◽  
Takahiro Todoroki ◽  
Masayuki Tsutsumi ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Acute Coronary Syndrome ◽  
Body Mass ◽  
Coronary Syndrome ◽  
Low Body Mass Index

scholarly journals Differential effects of body mass index on domain-specific cognitive outcomes after stroke

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Minwoo Lee ◽  
Mi Sun Oh ◽  
San Jung ◽  
Ju-Hun Lee ◽  
Chul-Ho Kim ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Ischemic Stroke ◽  
Cognitive Function ◽  
Frontal Lobe ◽  
Body Mass ◽  
Cognitive Outcomes ◽  
Stroke Survivors ◽  
Word Fluency ◽  
Domain Specific ◽  
Z Scores

AbstractAlthough the obesity paradox is an important modifiable factor in cardiovascular diseases, little research has been conducted to determine how it affects post-stroke cognitive function. We aimed to investigate the association between body mass index (BMI) and domain-specific cognitive outcomes, focusing on the subdivision of each frontal domain function in post-ischemic stroke survivors. A total of 335 ischemic stroke patients were included in the study after completion of the Korean-Mini Mental Status Examination (K-MMSE) and the vascular cognitive impairment harmonization standards neuropsychological protocol at 3 months after stroke. Frontal lobe functions were analyzed using semantic/phonemic fluency, processing speed, and mental set shifting. Our study participants were categorized into four groups according to BMI quartiles. The z-scores of K-MMSE at 3 months differed significantly between the groups after adjustment for initial stroke severity (p = 0.014). Global cognitive function in stroke survivors in the Q1 (the lowest quartile) BMI group was significantly lower than those in Q2 and Q4 (the highest quartile) BMI groups (K-MMSE z-scores, Q1: − 2.10 ± 3.40 vs. Q2: 0.71 ± 1.95 and Q4: − 1.21 ± 1.65). Controlled oral word association test findings indicated that phonemic and semantic word fluency was lower in Q4 BMI group participants than in Q2 BMI group participants (p = 0.016 and p = 0.023 respectively). BMI might differentially affect cognitive domains after ischemic stroke. Although being underweight may negatively affect global cognition post-stroke, obesity could induce frontal lobe dysfunctions, specifically phonemic and semantic word fluency.

Sign in / Sign up

Export Citation Format

Share Document