Association between hand-grip strength and risk of stroke among Mongolian adults: Results from a population-based study

Altankhuyag, Indra; Byambaa, Agiimaa; Tuvshinjargal, Anujin; Bayarmunkh, Anar; Jadamba, Tsolmon; Dagvajantsan, Byambasuren; Byambasukh, Oyuntugs

doi:10.31117/neuroscirn.v4i3suppl.97

Cited by 5 publications

(7 citation statements)

References 25 publications

(44 reference statements)

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“…As a result, the current study has identified creatinine differences by HGS with an age effect. The participants were divided into two groups, those with high HGS (>25 percentile) and low HGS (<25 per percentile); this threshold criterion was found in a previous study in the same population [ 21 ]. There were certain associations for the urinary creatine concentration in relation to HGS groups and age groups in this study.…”

Section: Discussionmentioning

confidence: 99%

“…Participants were instructed to continually tighten the handle with full force for at least 3 s and not to move the dynamometer or hold their breath while taking the measurement. The measures were the same for men and women and age groups, but we used different thresholds that had been established before in the same population [ 21 ]. The maximal measurement for one of the two hands was taken and called the dominant HGS [ 20 ].…”

Section: Methodsmentioning

confidence: 99%

“…The HGS category was based on previous study results that categorized dominant HGS into higher and less than the 25th percentile of HGS based on its histogram in men and women, respectively. Less than the 25th percentile of HGS (31.8 for men and 20.5 for women) was categorized as the lower HGS group [ 21 ]. Additionally, a linear regression analysis was performed, and the unstandardized beta coefficient was reported with a 95% confidence interval (CI).…”

Section: Methodsmentioning

confidence: 99%

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Handgrip Strength Is Positively Associated with 24-hour Urine Creatine Concentration

Ulambayar

Bor

Sukhbaatar³

et al. 2023

IJERPH

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Background: Muscle mass evaluation methods are often expensive and therefore limited in their daily use in clinical practice. In this study, we investigated the relationship between hand grip strength (HGS) and other parameters of body measurements with urine creatinine, especially to investigate whether HGS measurement is an indicator of muscle metabolism. Methods: In total, 310 relatively healthy people (mean age 47.8 + 9.6; 161 people or 51.9% of the total population were men) who were undergoing preventive examinations were included in this study and given a container to collect 24-h urine, and the amount of creatinine in the urine was determined by a kinetic test without deproteinization according to the Jaffe method. A digital dynamometer (Takei Hand Grip Dynamometer, Japan) was used in the measurement of HGS. Results: There was a significant difference in 24-h urine creatinine (24 hCER) between the sexes, with a mean of 1382.9 mg/24 h in men and 960.3 mg/24 h in women. According to the correlation analysis, the amount of urine creatinine was related to age (r = −0.307, p < 0.001 in men, r = −0.309, p < 0.001 in women), and HGS (r = 0.207, p = 0.011 in men, r = 0.273, p = 0.002 in women) was significant for either sex. However, other parameters of body measurements, such as girth, forearm circumference, and muscle mass measured by bioelectrical impedance, were not related to urine 24 hCER. A correlation between HGS and 24 hCER was observed in age groups. Conclusions: We found that HGS is a potential marker in muscle metabolism assessment that is proven through 24 hCER. In addition, therefore, we suggest using the HGS measure in clinical practice to evaluate muscle function and well-being.

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Section: Discussionmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

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Handgrip Strength Is Positively Associated with 24-hour Urine Creatine Concentration

Ulambayar

Bor

Sukhbaatar³

et al. 2023

IJERPH

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“…The instrument can measure hand-grip values from 5 to 100 kg; the minimum unit of measurement is 0.1 kg. The tool is a good health outcomes predictor [ 40 , 41 ].…”

Section: Methodsmentioning

confidence: 99%

Feasibility and acceptability of a cohort study baseline data collection of device-measured physical behaviors and cardiometabolic health in Saudi Arabia: expanding the Prospective Physical Activity, Sitting and Sleep consortium (ProPASS) in the Middle East

Alaqil,

del Pozo Cruz,

Alothman

et al. 2024

BMC Public Health

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Background Physical behaviors such physical activity, sedentary behavior, and sleep are associated with mortality, but there is a lack of epidemiological data and knowledge using device-measured physical behaviors. Purpose To assess the feasibility of baseline data collection using the Prospective Physical Activity, Sitting, and Sleep consortium (ProPASS) protocols in the specific context of Saudi Arabia. ProPASS is a recently developed global platform for collaborative research that aims to harmonize retrospective and prospective data on device-measured behaviors and health. Using ProPASS methods for collecting data to perform such studies in Saudi Arabia will provide standardized data from underrepresented countries. Method This study explored the feasibility of baseline data collection in Saudi Arabia between November and December 2022 with a target recruitment of 50 participants aged ≥ 30 years. Established ProPASS methods were used to measure anthropometrics, measure blood pressure, collect blood samples, carry out physical function test, and measure health status and context of physical behaviors using questionnaires. The ActivPal™ device was used to assess physical behaviors and the participants were asked to attend two sessions at (LHRC). The feasibility of the current study was assessed by evaluating recruitment capability, acceptability, suitability of study procedures, and resources and abilities to manage and implement the study. Exit interviews were conducted with all participants. Result A total of 75 participants expressed an interest in the study, out of whom 54 initially agreed to participate. Ultimately, 48 participants were recruited in the study (recruitment rate: 64%). The study completion rate was 87.5% of the recruited participants; 95% participants were satisfied with their participation in the study and 90% reported no negative feelings related to participating in the study. One participant reported experiencing moderate skin irritation related to placement of the accelerometer. Additionally, 96% of participants expressed their willingness to participate in the study again. Conclusion Based on successful methodology, data collection results, and participants’ acceptability, the ProPASS protocols are feasible to administer in Saudi Arabia. These findings are promising for establishing a prospective cohort in Saudi Arabia.

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“…To measure HGS, a digital grip strength dynamometer (factory standardized and certified) was used that was made in Japan (Takei Hand Grip Dynamometer 5401-C) [ 16 ]. The instrument is capable of measuring from 5 to 100 kg and the measurements are recorded with 0.1 kg accuracy.…”

Section: Methodsmentioning

confidence: 99%

Anthropometric and Body Circumference Determinants for Hand Grip Strength: A Population-Based Mon-Timeline Study

Byambaa,

Altankhuyag,

Damdinbazar

et al. 2023

Journal of Aging Research

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Background. Hand grip strength (HGS) is a tool for diagnosing sarcopenia. In this study, we examined some anthropometric and body circumference measurements as determinants for HGS. Methods. This cross-sectional study was conducted with participants (Mongolians, n = 1080, aged 18–70, mean age of 41.2 ± 13.9 years, 33.7% of men) from the “Mon-Timeline” cohort study. To measure HGS, a digital grip strength dynamometer was used. Results. Mean HGS in men was 40.1 ± 10.4 kg and in women was 24.5 ± 5.6 kg. Correlation analysis showed that the strongest correlation with HGS was height (r = 0.712, p < 0.001 ). Moreover, HGS was inversely correlated with age (r = −0.239, p < 0.001 ) and thigh circumference (r = −0.070, p < 0.01 ), while it was positively correlated with body weight (r = 0.309, p < 0.001 ), neck circumference (r = 0.427, p < 0.001 ), upper arm circumference (r = 0.108, p < 0.0001 ), lower arm circumference (r = 0.413, p < 0.0001 ), and calf circumference (r = 0.117, p < 0.0001 ). In the multivariate linear regression analysis (unstandardized B coefficient, 95% CI), age (−0.159, −0.188; −0.129), sex (−9.262, −10.459; −8.064), height (0.417, 0.357; 0.478), lower arm circumference (1.003, 0.736; 1.270), and calf circumference (−0.162, −0.309; −0.015) were significantly associated with HGS. Conclusions. When detecting sarcopenia using HGS, it is important to take into account variables such as body height and body circumference.

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Association between hand-grip strength and risk of stroke among Mongolian adults: Results from a population-based study

Cited by 5 publications

References 25 publications

Handgrip Strength Is Positively Associated with 24-hour Urine Creatine Concentration

Handgrip Strength Is Positively Associated with 24-hour Urine Creatine Concentration

Feasibility and acceptability of a cohort study baseline data collection of device-measured physical behaviors and cardiometabolic health in Saudi Arabia: expanding the Prospective Physical Activity, Sitting and Sleep consortium (ProPASS) in the Middle East

Anthropometric and Body Circumference Determinants for Hand Grip Strength: A Population-Based Mon-Timeline Study

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