RESUMO
Objective To understand the epidemiological characteristics and psychological factors of senile arrhythmia in Xining area, and provide theoretical basis for the prevention and treatment of senile arrhythmia. Methods A total of 518 elderly patients treated in the department of Cardiology in Xining area from June 2018 to June 2020 were selected and divided into control group (without arrhythmia) and study group (with arrhythmia) according to whether the patients were complicated with arrhythmia. All subjects underwent 24h electrocardiographic monitoring to record heart rate, heart rate lead electrocardiogram and 24h dynamic electrocardiogram examination. Refer to the patient's medical records for general information, including age, gender, coronary heart disease, hypertension, etc.; Psychological factors such as depression, anxiety, sleep and quality of life were analyzed. The correlation between PSQI score, HAMA-14 score, HAMD-17 score and arrhythmia was analyzed by Pearson correlation analysis. Results Among 518 patients, 305 (58.89%) were complicated with arrhythmia, including 155 males and 150 females, with an average age of 76.15±3.79. Atrial arrhythmia accounted for 38.36% (117/305), sinus tachycardia accounted for 28.52% (87/305). Ventricular arrhythmias accounted for 11.48% (35/305); The incidence of arrhythmia in 70-79 year olds was significantly higher than that in 60-69 year olds (χ2=8.358 , P2=6.801, P2=1.534, P>0.05). The incidence of arrhythmia was significantly higher in patients with hypertension and coronary heart disease (χ2=16.401, χ2=9.772 , P<0.05). There were significant differences in PSQI score, HAMA-14 score, HAMD-17 score between the two groups (P<0.05). Pearson correlation analysis showed that PSQI score, HAMD-14 score and HAMD-17 score were positively correlated with the occurrence of arrhythmia in the elderly population in Xining area, with correlation coefficients r=0.417 , 0.607 , 0.653 (P<0.05). Conclusion The incidence of arrhythmia increases in the elderly population in Xining area, mainly in the rural elderly population, which is associated with depression and anxiety and sleep disorders and other psychological factors. Early detection and early intervention can improve the response to treatment and accessibility.