scholarly journals Hand Grip Strength, Cognitive Function and the Role of Cognitive Reserve: Results from a Sample of Community Dwelling Elderly in China

2019 ◽  
Author(s):  
Rong Wei ◽  
Kai-yong Liu ◽  
Fang-biao Tao ◽  
Pei-ru Xu ◽  
Bei-jing Cheng ◽  
...  
Keyword(s):  
Cognitive Function ◽  
Grip Strength ◽  
Cognitive Reserve ◽  
Leisure Activities ◽  
The Elderly ◽  
Hand Grip Strength ◽  
Community Dwelling ◽  
Baseline Survey ◽  
Hand Grip ◽  
Elderly Cohort

AbstractObjectivesTo examine the association between hand grip strength (HGS) and cognitive function, and the potentially moderating effects of cognitive reserve on this relationship using a sample of community dwelling elderly in China.MethodsThe subjects included 1291 community-dwelling elderly aged 60 or over and without dementia who participated in the baseline survey of an elderly cohort in Anhui province, China. Cognitive function was assessed using Mini-Mental State Examination (MMSE) and HGS was measured using an electronic grip strength dynamometer. The education (EDU) in early life, cognitive level of the job (CLJ) in middle age, cognitive leisure activities (CLA) in late life, and other covariates were collected through a face-to-face interview and physical examination.ResultsThe differences in MMSE scores across tertiles of HGS were significant (MMSE scores across tertiles of HGS: 20.26±7.02 vs 22.83±5.99 vs 24.76±6.36, F=62.05, P<0.001). After adjustment for covariates, the lower tertiles of HGS was related to lower MMSE scores when compared to the upper tertiles of HGS (β=β [95%CI]: −2.02[−2.87~−1.17], P<0.001). However, no significant association existed between the intermediate tertiles of HGS and lower MMSE scores (β=β [95%CI]: −0.28[−1.05~0.50], P=0.483). Moderation analyses revealed that the correlation between the lower tertiles of HGS and decreased MMSE scores was less pronounced in middle EDU (β=β [95%CI]: −1.62[−3.22~−0.02], P=0.047), and in middle CLJ (β=β [95%CI]: −2.17[−3.31~−1.24], P<0.0001) than in low EDU (β=β [95%CI]: −2.46[−3.80~−1.12], P<0.0001), and in low CLJ (β=β [95%CI]: −3.72[−6.92~−0.53], P=0.023). Furthermore, this relationship was not significant among the elderly with high EDU or the high CLJ.ConclusionsThe lower HGS is associated with poor cognitive function in older age, and cognitive reserve may attenuate or eliminate the relationship of lower HGS with cognitive function.

Physical function tests predict incident falls: A prospective study of 2969 men in the Swedish Osteoporotic Fractures in Men study

2018 ◽  
Vol 48 (4) ◽  
pp. 436-441 ◽  
Author(s):  
Marcus E. Cöster ◽  
Magnus Karlsson ◽  
Claes Ohlsson ◽  
Dan Mellström ◽  
Mattias Lorentzon ◽  
...  
Keyword(s):  
Grip Strength ◽  
Osteoporotic Fractures ◽  
The Elderly ◽  
Population Based ◽  
Hand Grip Strength ◽  
Test Time ◽  
Physical Test ◽  
Walking Test ◽  
Hand Grip ◽  
Physical Tests

Aims: Falls are common in the elderly population, and fall-related injuries are a major health issue. We investigated the ability of simple physical tests to predict incident falls. Methods: The Swedish Osteoporotic Fractures in Men (MrOS) study includes 3014 population-based men aged 69–81 years at the start of the study. These men performed five different physical tests at baseline: right-hand grip strength, left-hand grip strength, timed stand test, 6 m walking test (time and steps) and narrow walking test. During the first study year, we asked participants to fill out questionnaires regarding falls 4, 8 and 12 months after baseline. A total of 2969 men completed at least one questionnaire and were included in this study. We used generalised estimating equations and logarithmic regression models to estimate odds ratios for fallers and recurrent fallers (more than one fall during the one-year examination period) in each quartile of men for each physical test. Results: The proportions of fallers and recurrent fallers were higher in the lowest quartile of the physical tests than in the other three quartiles combined for all physical tests. A reduction of one standard deviation in respective physical test resulted in a 13–21% higher risk of becoming a faller and a 13–31% higher risk of becoming a recurrent faller. Conclusions: Low results on simple physical tests is a risk factor for incident falls in elderly Swedish men and may facilitate identification of high-risk individuals suitable for fall-intervention programs.

The Brain-Derived Neurotrophic Factor Functional Polymorphism and Hand Grip Strength Impact the Association between Brain-Derived Neurotrophic Factor Levels and Cognition in Older Adults in the United States

2022 ◽  
pp. 109980042110651
Author(s):  
Tingting Liu ◽  
Hongjin Li ◽  
Yvette P. Conley ◽  
Brian A. Primack ◽  
Jing Wang ◽  
...  
Keyword(s):  
Older Adults ◽  
Cognitive Function ◽  
Cognitive Decline ◽  
Grip Strength ◽  
Mental Status ◽  
Neurotrophic Factor ◽  
Brain Derived Neurotrophic Factor ◽  
Hand Grip Strength ◽  
Hand Grip ◽  
Serum Bdnf

Introduction Aging is associated with subtle cognitive decline in attention, memory, executive function, processing speed, and reasoning. Although lower brain-derived neurotrophic factor (BDNF) has been linked to cognitive decline among older adults, it is not known if the association differs among individuals with various BDNF Val66Met (rs6265) genotypes. In addition, it is not clear whether these associations vary by hand grip strength or physical activity (PA). Methods A total of 2904 older adults were included in this study using data from the Health and Retirement Study. Associations between serum BDNF and measures of cognitive function were evaluated using multivariable linear regression models stratified by Met allele status. PA and hand grip strength were added to the model to evaluate whether including these variables altered associations between serum BDNF and cognition. Results Mean age was 71.4 years old, and mean body mass index was 28.3 kg/m2. Serum BDNF levels were positively associated with higher total cognitive score (beta = 0.34, p = .07), mental status (beta = 0.16, p = .07), and word recall (beta = 0.22, p =.04) among Met carriers, while serum BDNF levels were negatively associated with mental status (beta = −0.09, p = .07) among non-Met carriers. Furthermore, associations changed when hand grip strength was added to the model but not when PA was added to the model. Conclusions The BDNF Val66Met variant may moderate the association between serum BDNF levels and cognitive function in older adults. Furthermore, such associations differ according to hand grip strength but not PA.

scholarly journals The Prediction of ADL and IADL Disability Using Six Physical Indicators of Frailty: A Longitudinal Study in the Netherlands

2014 ◽  
Vol 2014 ◽  
pp. 1-10 ◽  
Author(s):  
Robbert J. J. Gobbens ◽  
Marcel A. L. M. van Assen
Keyword(s):  
Physical Activity ◽  
Grip Strength ◽  
Gait Speed ◽  
Response Rate ◽  
Hand Grip Strength ◽  
Community Dwelling ◽  
Physical Frailty ◽  
Activity Restriction ◽  
Hand Grip ◽  
Iadl Disability

Frailty is a predictor of disability. A proper understanding of the contribution of individual indicators of frailty in the prediction of disability is a requisite for preventive interventions. The aim of this study was to determine the predictive power of the individual physical frailty indicators: gait speed, physical activity, hand grip strength, Body Mass Index (BMI), fatigue, and balance, for ADL and IADL disability. The sample consisted of 505 community-dwelling persons (≥75 years, response rate 35.1%). Respondents first participated between November 2007 and June 2008, and a subset of all respondents participated again one year later (N=264, 52.3% response rate). ADL and IADL disability were assessed by the Groningen Activity Restriction Scale. BMI was assessed by self-report, and the other physical frailty indicators were assessed with the TUG test (gait speed), the LAPAQ (physical activity), a hand grip strength test, the SFQ (fatigue), and the Four-test balance scale. All six physical frailty indicators were associated with ADL and IADL disability. After controlling for previous disability, sociodemographic characteristics, self-perceived lifestyle, and chronic diseases, only gait speed was predictive of both ADL and IADL disability, whereas there was a small effect of fatigue on IADL disability. Hence, these physical frailty indicators should be included in frailty assessment when predicting future disability.

scholarly journals Hand grip strength and cognitive function among elderly cancer survivors

PLoS ONE ◽  
2018 ◽  
Vol 13 (6) ◽  
pp. e0197909 ◽  
Author(s):  
Lin Yang ◽  
Ai Koyanagi ◽  
Lee Smith ◽  
Liang Hu ◽  
Graham A. Colditz ◽  
...  
Keyword(s):  
Cognitive Function ◽  
Cancer Survivors ◽  
Grip Strength ◽  
Hand Grip Strength ◽  
Hand Grip

scholarly journals Influence of low, medium and high BMI on hand grip strength among community dwelling elderly population

2021 ◽  
Vol 3 (2) ◽  
pp. 78-82
Author(s):  
Bhakti Gorhe ◽  
Dr. Shyam Ganvir(PT)
Keyword(s):  
Body Mass Index ◽  
Grip Strength ◽  
Body Mass ◽  
Elderly Population ◽  
Pearson Correlation ◽  
Hand Grip Strength ◽  
Community Dwelling ◽  
Hand Grip ◽  
One Way Anova ◽  
High Bmi

ABSTRACT: - Aim of the study is to find out the influence of low, medium and high body mass index on hand grip strength among community dwelling elderly population. Methodology: - This was an observational cross-sectional study performed on 30 community dwelling elderly population with age groups 60 and above 60. Out of total 30 participants 8 were having low BMI, 9 were having medium BMI and 13 were having high BMI. BMI was calculated by taking weight (in kg) by using weighing machine and height in (meters). Hand grip strength was measured by using hand held (JAMER) dynamometer. Result: - Data has summarized by using descriptive statistic of mean and standard deviation. Then Pearson correlation test was used to measure relation between hand grip strength and BMI.ANOVA technique was used for multiple group comparison by using graph pad software. By using Pearson corelation we got the result that there is positive corelation between High BMI with HGS and negative corelation between HGS with low and medium BMI. By using one-way ANOVA test we got (p value>0.05) which is non-significant. One way ANOVA shows comparison of hand grip strength of low, medium and high BMI and it is like H>M>L for both dominant and non-dominant. CONCLUSION: - Our study concludes from the above result that there is corelation between Hand grip strength and body mass index.

Associations of Body Composition and Physical Activity with Balance and Walking Ability in the Elderly

2005 ◽  
Vol 2 (3) ◽  
pp. 298-306 ◽  
Author(s):  
Maija Hassinen ◽  
Pirjo Komulainen ◽  
Timo A. Lakka ◽  
Sari B. Väisänen ◽  
Rainer Rauramaa
Keyword(s):  
Physical Activity ◽  
Body Composition ◽  
Waist Circumference ◽  
Grip Strength ◽  
Field Tests ◽  
The Elderly ◽  
Hand Grip Strength ◽  
Walking Ability ◽  
Muscular Fitness ◽  
Hand Grip

Background:The epidemic of sedentary lifestyle and obesity increases the risk of disability with aging. We studied the relationships of body composition, physical activity, and muscular fitness with balance and walking ability.Methods:Men and women, age 70 to 74 y (n = 146), were randomly selected from the Finnish population register. Body composition [body weight, body-mass index (BMI), waist circumference], physical activity (questionnaire), muscular fitness (hand-grip strength), balance (commonly used field tests), and walking ability (20 m walking test) were assessed.Results:BMI (r = –0.287, P < 0.001), waist circumference (r = –0.260, P = 0.002), physical activity (r = 0.206, P = 0.013), and hand-grip strength (r = 0.244, P = 0.003) correlated with balance. BMI (r = 0.330, P < 0.001), waist circumference (r = 0.237, P = 0.004), physical activity (r = –0.252, P = 0.002), and hand-grip strength (r = –0.307, P < 0.001) also correlated with walking time.Conclusions:Overweight and central obesity as well as low muscular fitness associate with impaired balance and walking ability in the elderly.

scholarly journals Reliability and Validity of the Ground Reaction Force Asymmetric Index at Seat-Off as a Measure of Lower Limb Functional Muscle Strength: A Preliminary Study

2021 ◽  
Vol 11 (14) ◽  
pp. 6527
Author(s):  
Ae-Ryoung Kim ◽  
Dougho Park ◽  
Yang-Soo Lee
Keyword(s):  
Muscle Strength ◽  
Grip Strength ◽  
Ground Reaction Force ◽  
Walking Speed ◽  
Reaction Force ◽  
Hand Grip Strength ◽  
Community Dwelling ◽  
Intrarater Reliability ◽  
Hand Grip ◽  
The Right

This study examined the reliability of the newly developed ground reaction force asymmetry index (GRF AI) at seat-off using a low-cost force plate and the validity of this new test by comparing it with other muscle strength-measuring methods and walking speed. This study was a cross-sectional design in general hospital setting. A convenience sample of 47 community-dwelling adults aged ≥40 years was performed. GRF AI is the measurement value obtained by shifting the weight to the right and left while performing sit-to-stand (STS). GRF AI assessed using GRF data at seat-off during an STS test with maximal weight shift to the right and left side and repeated 4 weeks later. Hip and knee extensor strength were measured using hand-held dynamometry; hand grip strength and walking speed were measured using a standardized method. Intrasessional intrarater reliability of the right and left side at Sessions 1 and 2 were high (intraclass correlation coefficients [ICC] = 0.947 and 0.974; 0.931 and 0.970, respectively). In addition, the intersessional intrarater reliability of a single test trial (ICC = 0.911 and 0.930) and the mean of three test trials (ICC = 0.965 and 0.979) was also high. There was a low correlation between right-side GRF AI and right hand grip strength (r = 0.268) and between left-side GRF AI and left hand grip strength (r = 0.316). No significant correlations were found between the GRF AI and other parameters. Although the reliability of the GRF AI was high, the validity was poor. To be clinically useful, this test should be further refined by modifying the test protocol.

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