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Objective@#To investigate the compliance of functional exercises and identify its influencing factors among young and middle-aged stroke patients, so as to provide insights into rehabilitation management among young and middle-aged stroke patients.@*Methods@#Stroke patients at ages of 18 to 59 years were recruited from those receiving rehabilitation treatment in Tongde Hospital Affiliated to Zhejiang Chinese Medical University from January 2021 to June 2022. Participants' demographics and clinical data were collected through questionnaire surveys. The compliance of functional exercises was assessed using Stroke Functional Exercise Adherence Questionnaire, and patients' social support, exercise self-efficacy and depression were assessed using the Social Support Rating Scale, Exercise Self-efficacy Scale and Self-rating Depression Scale. The factors affecting functional exercise compliance were identified among young and middle-aged stroke patients with a multivariable linear regression model.@*Results@#A total of 230 questionnaires were allocated and 213 valid questionnaires were recovered, with an effective recovery rate of 92.61%. The respondents included 129 men (60.56%) and 84 women (39.44%) and had a mean age of (53.49±7.95) years. The total score of functional exercise compliance was (41.37±9.11) points among the participants. Multivariable linear regression analysis identified education level (β'=0.376), monthly household income per capita (β'=0.309), history of stroke onset (β'=-0.238), rehabilitation instruction (β'=0.284), depression (β'=-0.261), exercise self-efficacy (β'=0.152), and social support level (β': 0.277 to 0.415) as factors affecting the functional exercise compliance among young and middle-aged stroke patients.@*Conclusion@#Education level, income, history of stroke onset, depression, exercise self-efficacy and social support may affect the compliance of exercise compliance among young and middle-aged stroke patients.
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Objective@#To investigate the self-care activities and their influencing factors among young and middle-aged patients with type 2 diabetes mellitus ( T2DM ), so as to provide the basis for the care management of T2DM.@*Methods@#T2DM patients at ages of 18 to 59 years that were admitted to Department of Endocrinology, Hangzhou First People's Hospital Affiliated to Medical School of Zhejiang University were selected using the convenient sampling method from January to August 2021, and the demographic data were collected using questionnaires, including gender, age and educational levels. The self-care level was measured using the Summary of Diabetes Self-Care Activities ( SDSCA ) was used to assess self-management behaviors, and the social support level was evaluated using the Social Support Rating Scale ( SSRS ), while the coping modes were assessed using the Medical Coping Modes Questionnaire ( MCMQ ). Factors affecting the self-care activities were identified among young and middle-aged patients with T2DM using multivariable linear regression analysis.@*Results@#The 342 respondents included 185 men ( 54.07% ) and 157 women (45.93% ), and had a mean age of ( 43.76±3.82 ) years. The total score of self-care activities was ( 94.22±18.74 ), and the overall scoring rate was 72.48%, including 63 cases with high scores ( 18.42% ), 208 cases with moderate scores ( 60.82% ) and 71 cases with low scores ( 20.76% ). Multivariable linear regression analysis identified gender ( women, β'=0.213 ), educational level ( high school/technical secondary school, β'=0.187; diploma and above, β'=0.411 ), household monthly income per capita (5 000 Yuan and higher, β'=0.390), course of disease ( >5 years, β'=0.340 ), history of receiving health education targeting diabetes ( β'=0.411 ), coping mode ( avoidance, β'=0.195; confronce, β'=0.367 ) and social support level ( general, β'=0.206; high, β'=0.383 ) as factors affecting self-care activities among young and middle-aged patients with T2DM.@*Conclusions@#The overall self-care activities at a moderate level among young and middle-aged patients with T2DM, which are associated with gender, educational level, economic income, course of disease, health education targeting diabetes, coping mode and social support level.
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Objective: To study the risk factors for prevalence of acute myocardial infarction (AMI) in young and middle-aged population. Methods: A prospective cohort study was conducted in 110100 subjects at the age of (18-98) years who received physical examination in Kailuan Group from 2012-06 to 2014-10. Based on the limitations of male≤53 years and female≤63 years, a total of 62367 subjects were enrolled in our study. The subjects were followed-up for 2 years by the end point event of AMI to analyze the risk factors ofAMI occurrence. Results: According to AMI occurrence at the follow-up period, the subjects were divided into 2 groups: AMI group, n=56 and Control group, n=62152. Compared with Control group, AMI group had increased BMI, SBP, DBP and elevated blood levels of LDL-C, TG; AMI group also showed the higher ratios of subjects with the history of diabetes and taking anti-hypertension medication. Cox proportional hazard regression analysis indicated that age (RR=1.37), male (RR=60.54), LDL-C (RR=1.12), and TG (RR=5.93) were the risk factors forAMI occurrence in young and middle-aged population, allP<0.05. Conclusion: Age, male gender, blood levels of LDL-C, and TG were the risk factors for AMI occurrence in young and middle-aged population.
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Objective To explore the correlation between hypokalemia and sudden death in young and middle-aged people. Methods One hundred and twenty-nine young and middle-aged patients with sudden death during treatment were selected as observation group. Then 100 cases of healthy volunteers were randomly selected as control group. The incidence of cardiovascular disease, incidence of hypokalemia and intake of potassium were compared between 2 groups. Results The incidences of hypertension, arrhythmia, myocardial infarction, heart failure and hypokalemia in observation group were significantly higher than those in control group: 17.05% (22/129) vs. 5.00%(5/100), 13.18% (17/129) vs. 2.00% (2/100), 26.36% (34/129) vs. 9.00% (9/100), 9.30% (12/129) vs. 1.00% (1/100) and 55.04% (71/129) vs. 12.00% (12/100), and there were statistical differences (P<0.01). The ratios of higher, common, lower intake of potassium in observation group were 1.55%(2/129), 27.91% (36/129) and 70.54%(91/129), in control group were 15.00% (15/100), 58.00% (58/100) and 27.00% (27/100), and there was statistical difference (P<0.01). Logistic regression analysis result showed that hypertension, arrhythmia, myocardial infarction, heart failure, hypokalemia and lower intake of potassium were the risk factor for sudden death (P<0.01). The incidences of hypertension, arrhythmia, myocardial infarction and heart failure in hypokalemia patients were significantly higher than those in normokalemia patients: 28.92% (24/83) vs. 2.05% (3/146), 19.28% (16/83) vs. 2.05% (3/146), 44.58%(37/83) vs. 4.11% (6/146) and 13.25% (11/83) vs. 1.37% (2/146), and there were statistical differences (P<0.01). The incidence of hypokalemia in people with lower intake of potassium was significantly higher than that in people with higher and common intake of potassium: 56.78% (67/118) vs. 2/17 and 14.89%(14/94), and there was statistical difference (P<0.01). Conclusions There is a significant correlation between hypokalemia and sudden death in young and middle-aged people. Preventive measures of sudden death should be made according to serum potassium level in clinic. People should pay attention to the uptake of potassium in daily life.