Analysison the level of disease uncertainty and its related influencing factors in patients with primary aldosteronism
10.3969/j.issn.1671-332X.2024.01.043
- VernacularTitle:原发性醛固酮增多症患者疾病不确定感水平及其相关影响因素分析
- Author:
Tingying HU
1
;
Qian CHEN
Author Information
1. 南昌大学第二附属医院 江西南昌 330006
- Keywords:
Primary aldosteronism;
Disease uncertainty;
Anxiety;
Social support
- From:
Modern Hospital
2024;24(1):162-164
- CountryChina
- Language:Chinese
-
Abstract:
Objective To explore the influencing factors of disease uncertainty levels in patients with primary aldosteron-ism(PA),in order to guide the formulation of clinical intervention measures and reduce the level of disease uncertainty in PA patients.Methods 83 patients with PA admitted to the hospital from January 2021 to January 2022 were selected to evaluate the level of disease uncertainty of all patients[MUIS score],design a baseline data questionnaire,and make detailed statistics on the baseline data of all patients,compare the MUIS score of PA patients with different data characteristics,and focus on the analysis of the factors affecting the level of disease uncertainty of PA patients.Results After evaluation,the MUIS score of 83 PA patients was(89.73±8.60)points;The MUIS scores of PA patients with different social support,education level,anxiety and family monthly per capita income were statistically different(P＜0.05),while the MUIS scores of PA patients with different ages,gen-ders,work conditions,religious beliefs,diabetes and living alone were not statistically different(P＞0.05);The influencing fac-tors of disease uncertainty level in PA patients are low monthly per capita income,low social support,anxiety,and low education level(P＜0.05).Conclusion The disease uncertainty of PA patients is at a medium-high level.Low education level,low social support,anxiety and low family monthly per capita income are all factors affecting the disease uncertainty level of PA patients.Clin-ical intervention measures can be designated according to the above factors to reduce the disease uncertainty of patients.
