ABSTRACT
Objective:By analyzing factors associated with lower urinary tract symptoms in middle-aged and elderly women aged 55-65 years old, a nomogram model for lower urinary tract symptoms was constructed to assist the clinical development of targeted interventions to reduce the incidence of lower urinary tract symptoms in this population.Methods:In the cross-sectional study, 798 middle-aged and elderly women aged 55-65 years receiving physical examination in the Health Management Center of Third Xiangya Hospital from November 2013 to December 2020 were selected as research participants.Univariate regression analysis was used to compare differences in the basic data related to lower urinary tract symptoms in the population.Multivariate Logistic regression analysis was used to identify related influencing factors, and a nomogram model for lower urinary tract symptoms in the population was established.Results:Among 798 middle-aged and elderly women surveyed, the prevalence of lower urinary tract symptoms was 81.08 %(647 cases), and the rate of urinary tract infections was 21.48 %(139 cases). Variables with statistical significance in univariate regression analysis were included in multivariate Logistic regression analysis.The results showed that body mass index, vaginal delivery, strength of pelvic floor type Ⅱ fiber muscle, pelvic and abdominal coordination and mental health were independent influencing factors for lower urinary tract symptoms in middle-aged and elderly women aged 55-65 years( OR=1.099, 2.681, 0.895, 0.658, 1.057, P=0.010, 0.030, 0.040, 0.010, 0.038). The monogram model based on the five risk prediction indexes produced a consistency index(C-index)of 0.651 and a diagnostic sensitivity and specificity of 66.9% and 58.9%, respectively.The correction curve showed that the predicted results of the model were essentially the same as the actual probability of condition. Conclusions:In this study, the independent influencing factors for lower urinary tract symptoms in middle-aged and elderly women aged 55-65 years were screened by univariate regression and multivariate Logistic regression analysis and a nomogram model for risk prediction of the population was constructed, was proved to have a good ability for accurately and effectively predicting the risk of lower urinary tract symptoms in middle-aged and elderly women aged 55-65 years, and will assist clinicians to screen for high-risk patients, formulate targeted interventions, and reduce the incidence of lower urinary tract symptoms in middle-aged and elderly women aged 55-65 years.
ABSTRACT
Objective To investigate the status of health knowledge of patients after percutaneous coronary intervention (PCI) and its influencing factors, so as to provide a scientific basis for formulating targeted health education programs. Methods Using a self-designed questionnaire on health cognition after PCI, 433 patients with a history of PCI surgery at a Grade III, Class A hospital between January 2019 and December 2019 were selected as the research subjects to investigate their health cognition and the influencing factors by binary logistic regression analysis. Results The pass rate of health cognition of patients after PCI was 39%, and the total correct rate was 57.5%. The correct rate of drug knowledge and risk factors was the lowest (33.6% and 48.5%, respectively). Binary logistic regression showed that gender, age and cardiac function classification were risk factors for health cognition of patients after PCI, while education level, occupation category and recurrence of discomfort after PCI were protective factors. Conclusion The level of health cognition of patients after PCI is low. Gender, age, education level, occupation category, cardiac function classification and recurrence of discomfort after PCI are independent influencing factors. When implementing health education, medical staff should comprehensively consider the formulation of individualized health education to help.