Study On Anxiety And Depression And Related Factors Of Coronary Heart Disease In Perimenopausal Women In Zhengzhou City

BackgroundWith the change of people’s life rhythm and behavior pattern and the increase of various competitive pressures,the incidence and mortality of coronary heart disease increased significantly.Perimenopausal female because lack the protection of estrogen,easy to appear fat metabolism is abnormal,arteriosclerosis,bring about the incidence of a disease of coronary heart disease to rise gradually.Perimenopausal female patients with coronary heart disease are in a special physiological period,and because of the high mortality rate of coronary heart disease,difficult to cure and other problems,patients need to accept long-term treatment and care,therefore,more psychological problems such as anxiety and depression.Perimenopausal period is the high incidence of anxiety and depression in women.Anxiety and depression seriously affect womens health,reduce their quality of life,and even produce suicidal behavior,which brings great impact on patients’families and society.The causes of anxiety and depression in perimenopausal women with coronary heart disease are numerous and complex.It is helpful for clinical medical workers to screen and guide anxiety and depression in perimenopausal women with coronary heart disease.ObjectiveTo understand the occurrence of anxiety and depression in perimenopausal female coronary heart disease patients in zhengzhou,and analyze the related influencing factors,so as to formulate reasonable and effective intervention measures,with a view to relieving anxiety and depression in perimenopausal female coronary heart disease patients and improving their quality of life.MethodsA total of 302 perimenopause female inpatients diagnosed with coronary heart disease in the department of cardiovascular medicine of a four grade iii first-class hospitals in zhengzhou city from October 2017 to January 2019 were selected and met the inclusion criteria for face-to-face questionnaire survey.The investigation tools of this study are:general information questionnaire,self-rating anxiety scale,self-rating depression scale.social support rating scale and modified Kupperman symptom score scale.SPSS 21.0 software was used for statistical analysis.Counting data were statistically described by frequency and percentage,SAS,SDS and their related factors were analyzed by optimal scale regression.The correlation between social support rating scale(SSS),modified Kupperman symptom scale(Kupperman)and self-rated anxiety and depression was studied by Spearman correlation analysis.All P values were tested by bilateral test with test level a=0.05.Results1 Results of SAS and SDS scale analysis showed that 73.5%of the patients had anxiety symptoms,including 148 patients with mild anxiety symptoms(49%),60 patients with moderate anxiety symptoms(19.9%),and 14 patients with severe anxiety symptoms(4.6%).74.5%of the patients had depressive symptoms,including 80 patients with mild depressive symptoms(26.5%),91 patients with moderate depressive symptoms(30.1%),and 54 patients with severe depressive symptoms(17.9%).The incidence of perimenopausal symptoms was 88.1%.2.The optimal scale regression analysis of SAS score and its influencing factors showed no significant influence on SAS score(P>0.05),including residence style(P=0.072),number of children(P=0.967),menopausal status(P=0.947),previous menstrual status(P=0.783),personality(P=0.566)and relationship with children(P=0.128).Marital status(P<0.001),education level(p=0.001),occupation(P<0.001),family monthly income(P<0.001),mode of medical expense payment(P=0.021),spousal relationship(P<0.001)and other factors have an influence on SAS score(P<0.05).3.The optimal scale regression analysis of SDS score and its influencing factors showed no significant influence on SDS score(P>0.05),including residence style(P=0.835),number of children(P=0.574),menopause(P=0.543),previous menstrual status(P=0.055)and relationship with children(P=0.115).Marital status(P<0.001),education(P<0.001),occupation(P<0.001),family monthly income(P=0.009),medical expense payment method(P=0.038),personality(P=0.612),marital relationship(P<0.001)and other factors have an impact on SDS score(P<0.05).4,The optimal scale regression analysis of SAS scores and disease-related information showed that smoking history(P=0.214),history of alcoholism(P=0.210)and total number of previous hospitalizations(P=0.130)had no significant influence on SAS scores.Coronary heart disease(p=0.012),presence or absence of interventional treatment(P=0.014),association with other diseases(P=0.007)sleep status(P<0.001).the differences were statistically significant.5.The optimal scale regression analysis of SDS score and disease-related information showed that the history of coronary heart disease(P=0.533),the presence or absence of interventional therapy(P=0.701),smoking history(P=0.329)and alcoholism history(P=0.255)had no significant influence on SDS score.Other diseases(P<0.001),total number of previous hospitalizations(P<0.001),and sleep status(P<0.001)showed statistically significant differences.6.Spearman correlation analysis showed that all symptoms in perimenapause were correlated with SAS scores(P<0.005).Except for bone joint pain,muscle pain and skin ant walking,there was no statistical significance(P>0.05)in the correlation between SDS score and other perimenopausal symptoms(P<0.05).7.The correlation analysis between SAS and SDS scores and social support showed that SAS and SDS scores were negatively correlated with total social support scores,objective support scores and subjective support scores(P<0.001),but had no correlation with social support utilization,and the difference was not statistically significant(P>0.05).Conclusion1.Mental health problems are common in the perimenopausal female coronary heart disease patients in zhengzhou,among which the incidence rate of anxiety symptoms is 73.5%,depression symptoms is 74.5%,and perimenopausal symptoms are 88.1%,2.The main influencing factors of anxiety and depression are the patients marital status,marital relationship,educational level,monthly family income,medical expense payment method,history of coronary heart disease,co-occurrence of other diseases,sleep status,etc.;Social support and perimenopausal symptoms are closely related to anxiety and depression.