Abstract

Mongolia ranks third in the world in stroke-related deaths. Loss of skeletal muscle mass and function, known as sarcopenia, is associated with a higher risk of various metabolic disorders such as stroke. Thus, screening of sarcopenia is important. Hand-grip strength (HGS) can be used to predict sarcopenia in the short term. In this cross-sectional study, we used data (n=1180, mean age of 39.2 ± 15.2 and 33.2% males) from the Mon-Timeline cohort study, a multidisciplinary, prospective, population-based cohort study in Mongolia. A digital grip strength dynamometer (TKK 5401 GRIP D; Takei, Japan) was used to measure HGS. We performed binary logistic regression analysis between HGS and stroke risk. Suspected sarcopenia was defined when HGS is less than the 25th percentile of HGS. In this study, 3.3% of all participants had a stroke. The incidence of stroke was significantly higher (5.2% and 1.9%) in people with suspected sarcopenia. According to body composition, the incidence of stroke was more frequent in sarcopenic obese people: 1.3%, 2.4%, 2.8% and 6.2% in normal (non-obese and non-sarcopenic), sarcopenic (non-obese), obese (non-sarcopenic) and sarcopenic obese groups, respectively. In regression analysis, the OR (95% CI) was 2.84 (1.44; 5.59) for sarcopenic compared with non-sarcopenic. The adjustments for age, gender, education, body mass index, waist circumference and hypertensive status attenuated the associations, but lower HGS remained significantly associated with a higher risk of stroke. In conclusion, lower HGS was significantly associated with a higher risk of stroke independent of adiposity and hypertensive status in Mongolian adults.

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