Original Articles
LI Ying, TANG Mei, TANG Li-kun, LYU Ying, LUO WEI, QUAN Li
Objective To investigate the life style and dietary habit among high risk population for stroke in a hospital in Guilin region, and to analyze their risk factors. Methods We selected 683 physical examinees who met the criteria for high risk stroke population and received physical examination in Guilin People’s Hospital from January 2015 to October 2017 to serve as the high risk group, and 600 healthy physical examinees as the control group. In addition, 600 stroke patients treated in the same hospital during the same period served as the stroke group. General information, life style and dietary habit of the three groups were collected and investigated. Laboratory indicators of the three groups were compared. Multivariate logistic regression analysis was performed to identify the risk factors of high-risk stroke population in Guilin region. Results The proportions of males and patients aged ≥ 50 years in the high risk group and the stroke group were significantly higher than those in the control group, and body mass index (BMI) was higher in the stroke group than in the control group, showing statistically significant differences (all P<0.05). The proportions of patients with smoking, drinking and insufficient physical exercise in the high risk group and the stroke group were significantly higher than those of the control group, with statistically significant differences (all P<0.05). The proportions of patients with greasy taste, insufficient intake of vegetables, meat intake ≥3 times a week and sweet taste in the high risk group and the stroke group were significantly higher than those of the control group, and the differences were statistically significant (all P<0.05). The levels of uric acid, fasting blood glucose, triglyceride (TG), total cholesterol (TC) and low-density lipoprotein cholesterol (LDL-C) in the high-risk group and the stroke group were significantly higher than those of the control group, while the levels of high-density lipoprotein cholesterol (HDL-C) were significantly lower, and the differences were statistically significant (all P<0.05). Multivariate logistic regression analysis showed that the risk factors for stroke in Guilin region included males (OR=1.031), advanced age (OR=1.894), drinking (OR=2.495), lack of physical exercise (OR=1.687), greasy taste (OR=1.822), insufficient intake of vegetables (OR=1.673), excessive intake of meat (OR=1.429), high uric acid (OR=2.916), high fasting blood glucose (OR=2.127) and high blood lipids (OR=1.709) (all P<0.05). Conclusions A variety of factors are closely related to high risk of stroke in Guilin region, including males, age, drinking, lack of physical exercise, greasy taste, insufficient intake of vegetables, excessive intake of meat, high uric acid, high fasting blood glucose and high blood lipids. Therefore, effective intervention measures in clinical practice should be formulated according to the above-mentioned factors so as to achieve the purpose of prevention and control of stroke.