SUN-PP084: Handgrip Strength but not the Timed 'Up and Go' Test Is Related to Differences in Body Mass Index in Older Adults in Need of Care

2015 ◽  
Vol 34 ◽  
pp. S55
Author(s):  
E. Kiesswetter ◽  
R. Diekmann ◽  
C.C. Sieber ◽  
D. Volkert
Keyword(s):  
Older Adults ◽  
Body Mass Index ◽  
Body Mass ◽  
Handgrip Strength ◽  
Timed Up And Go ◽  
Need Of Care

scholarly journals Anthropometric indicators as a screening tool for sarcopenia in older adults from Florianópolis, Santa Catarina: EpiFloripa Ageing study

2017 ◽  
Vol 30 (3) ◽  
pp. 287-296 ◽  
Author(s):  
Susana Cararo CONFORTIN ◽  
Vandrize MENEGHINI ◽  
Lariane Mortean ONO ◽  
Ione Jayce Ceola SCHNEIDER ◽  
Aline Rodrigues BARBOSA ◽  
...  
Keyword(s):  
Older Adults ◽  
Body Mass Index ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Waist Circumference ◽  
Body Mass ◽  
Handgrip Strength ◽  
Height Ratio ◽  
Anthropometric Indicators ◽  
Waist To Height Ratio

ABSTRACT Objective This cross-sectional population-based study aimed to determine the cutoff points of anthropometric indicators to screen for sarcopenia and the association between sarcopenia and these indicators. Methods The sample consisted of 601 older adults. Sarcopenia was detected by appendicular skeletal muscle index. The receiver operating characteristic curve identified the cutoff points for body mass index, waist-to-height ratio, waist circumference, and handgrip strength to screen for sarcopenia. Based on the cut-off points, principal component analysis determined which indicators had a better fit as discriminants to compose an indicator. Finally, logistic regression analysis was performed with this indicator as the main independent variable. Results The results showed that all anthropometric indicators and handgrip strength were capable of discriminating sarcopenia; however, body mass index, waist circumference, and waist-to-height ratio were the best discriminants in principal components analysis, composing the new indicator. Adjusted logistic regression analysis showed that sarcopenia was associated with the indicator in both sexes. Conclusion The concomitant presence of low body mass index, low waist circumference, and low waist-to-height ratio may help to discriminate sarcopenia.

Abstract P410: Association of Sarcopenia, Low Muscle Mass and Low Muscle Strength With Coronary Artery Calcium Scores

Circulation ◽  
2020 ◽  
Vol 141 (Suppl_1) ◽  
Author(s):  
Claudia Szlejf ◽  
Claudia K Suemoto ◽  
Marcio S Bittencourt ◽  
Itamar S Santos ◽  
Paulo A LOTUFO ◽  
...  
Keyword(s):  
Older Adults ◽  
Body Mass Index ◽  
Coronary Artery ◽  
Muscle Strength ◽  
Muscle Mass ◽  
Body Mass ◽  
Coronary Artery Calcium ◽  
Handgrip Strength ◽  
Sociodemographic Characteristics ◽  
Clinical Conditions

Introduction: Low muscle mass and low muscle strength, the defining components of sarcopenia, are associated with increased risks of cardiovascular disease and mortality. However, little is known about the association of sarcopenia with markers of subclinical atherosclerosis, such as coronary artery calcium (CAC). We assessed the hypothesis that sarcopenia and its defining components are associated with higher CAC scores in middle-aged and older adults. Methods: In this cross-sectional analysis we included 2700 participants from the São Paulo site of the Brazilian Longitudinal Study of Adult Health second wave, aged ≥ 50 years, who were submitted to CAC assessment, with no previous history of coronary artery disease and stroke, and with complete data on exposure, outcome and covariates. CAC was measured by noncontrast computed tomography scans and the Agatston method was adopted to calculate CAC scores. Muscle mass was assessed by bioelectrical impedance analysis and muscle strength by handgrip strength. Sarcopenia was defined according to the Foundation for the National Institutes of Health criteria. The association of sarcopenia and its defining components with CAC score > 0 or > 100 was investigated with logistic regression. We also investigated the association of continuous appendicular lean mass standardized by body mass index and handgrip strength with CAC score > 0 and > 100. Possible confounders included sociodemographic characteristics, clinical conditions, lifestyle and laboratory parameters. Results: Sarcopenia was found in 1% (23 out of 2700) of participants, 23% (609 out of 2700) with low muscle mass and 2% (40 out of 2700) with low muscle strength. CAC > 0 and CAC > 100 were found in 35% (952 out of 2700) and 13% (357 out of 2700) of participants, respectively. After adjustment for sociodemographic characteristics, clinical conditions, lifestyle and laboratory parameters, low muscle mass was associated with CAC > 100 (OR = 1.37, 95%CI 1.03-1.80), but not with CAC > 0 (OR = 1.17, 95% CI = 0.94-1.46). Sarcopenia and low muscle strength were not associated with CAC scores. Additionally, continuous appendicular leans mass standardized by body mass index was associated with lower odds of CAC > 100 (OR = 0.15, 95% CI = 0.05-0.50), although it was not associated with CAC > 0. Finally, continuous handgrip strength was not associated with CAC scores. Conclusion: In conclusion, low muscle mass is associated with higher odds of CAC score > 100 in middle-aged and older adults.

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 Five-Year Change in Body Mass Index Predicts Conversion to Mild Cognitive Impairment or Dementia Only in APOE ɛ4 Allele Carriers

2021 ◽  
pp. 1-11
Author(s):  
Kylie R. Kadey ◽  
John L. Woodard ◽  
Allison C. Moll ◽  
Kristy A. Nielson ◽  
J. Carson Smith ◽  
...  
Keyword(s):  
Older Adults ◽  
Body Mass Index ◽  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Body Mass ◽  
Carrier Status ◽  
Healthy Older Adults ◽  
E4 Allele ◽  
Lifestyle Risk

Background: Body mass index (BMI) has been identified as an important modifiable lifestyle risk factor for dementia, but less is known about how BMI might interact with Apolipoprotein E ɛ4 (APOE ɛ4) carrier status to predict conversion to mild cognitive impairment (MCI) and dementia. Objective: The aim of this study was to investigate the interaction between APOE ɛ4 status and baseline (bBMI) and five-year BMI change (ΔBMI) on conversion to MCI or dementia in initially cognitively healthy older adults. Methods: The associations between bBMI, ΔBMI, APOE ɛ4 status, and conversion to MCI or dementia were investigated among 1,289 cognitively healthy elders from the National Alzheimer’s Coordinating Center (NACC) database. Results: After five years, significantly more carriers (30.6%) converted to MCI or dementia than noncarriers (17.6%), p <  0.001, OR = 2.06. Neither bBMI (OR = 0.99, 95%CI = 0.96–1.02) nor the bBMI by APOE interaction (OR = 1.02, 95%CI = 0.96–1.08) predicted conversion. Although ΔBMI also did not significantly predict conversion (OR = 0.90, 95%CI = 0.78–1.04), the interaction between ΔBMI and carrier status was significant (OR = 0.72, 95%CI = 0.53–0.98). For carriers only, each one-unit decline in BMI over five years was associated with a 27%increase in the odds of conversion (OR = 0.73, 95%CI = 0.57–0.94). Conclusion: A decline in BMI over five years, but not bBMI, was strongly associated with conversion to MCI or dementia only for APOE ɛ4 carriers. Interventions and behaviors aimed at maintaining body mass may be important for long term cognitive health in older adults at genetic risk for AD.

scholarly journals Challenging the “jolly fat” hypothesis among older adults: High body mass index predicts increases in depressive symptoms over a 5-year period

2016 ◽  
Vol 23 (1) ◽  
pp. 48-58 ◽  
Author(s):  
Peter Joseph Dearborn ◽  
Michael A Robbins ◽  
Merrill F Elias
Keyword(s):  
Older Adults ◽  
Body Mass Index ◽  
Depressive Symptoms ◽  
Body Mass ◽  
Functional Limitations ◽  
High Body Mass Index ◽  
Obesity Prevalence ◽  
Community Based ◽  
Objectively Measured

Several investigators have observed lowered risk of depression among obese older adults, coining the “jolly fat” hypothesis. We examined this hypothesis using baseline and a 5-year follow-up body mass index, depressive symptoms, and covariates from 638 community-based older adults. High objectively measured body mass index and functional limitations predicted increased future depressive symptoms. However, symptoms did not predict future body mass index. Self-reported body mass index showed similar associations despite underestimating obesity prevalence. Results did not differ on the basis of gender. Results for this study, the first longitudinal reciprocal risk analysis between objectively measured body mass index and depressive symptoms among older adults, do not support the “jolly fat” hypothesis.

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