Latent profile analysis of hypoglycemia fear in elderly patients with type 2 diabetes in community
10.3760/cma.j.cn115682-20230605-02252
- VernacularTitle:社区老年2型糖尿病患者低血糖恐惧的潜在剖面分析
- Author:
Sijing WANG
1
;
Qiyuan SUN
;
Han YANG
;
Shiyu XIAO
;
Chongyao YANG
;
Yanxi LI
;
Miaoqin WANG
Author Information
1. 川北医学院附属医院护理部，南充 637000
- Keywords:
Diabetes mellitus, type 2;
Community;
Aged;
Hypoglycemic fear;
Latent profile analysis
- From:
Chinese Journal of Modern Nursing
2023;29(36):4908-4915
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To explore the current situation of hypoglycemia fear of elderly patients with type 2 diabetes mellitus (T2DM) in the community, identify different types of hypoglycemia fear among elderly T2DM patients in the community by latent profile analysis, and analyze its influencing factors, so as to provide reference for formulating intervention measures.Methods:From February to April 2023, convenience sampling was used to select 300 elderly T2DM patients from three community health service centers in Shunqing District, Nanchong City, Sichuan Province as the research subject. The self-designed General Information Questionnaire, the Chinese Version Hypoglycemia Fear Survey-Ⅱ (CHFS-Ⅱ), and the Summary Diabetes Self Care Activities (SDSCA) were used to investigate the patients, and the latent profile of hypoglycemia fear was analyzed. Binary Logistic regression was used to analyze the influencing factors of different latent categories of hypoglycemic fear in elderly T2DM patients in the community.Results:A total of 300 questionnaires were distributed, and 290 valid questionnaires were collected, with an effective response rate of 96.7% (290/300). Among 290 elderly T2DM patients in the community, the hypoglycemia fear could be divided into two latent categories, including the "moderate worry-normal coping" group ( n=134) and the "high fear-cautious behavior" group ( n=156). The binary Logistic regression showed that marital status, whether there were complications of diabetes, treatment plan and self-management were the factors influencing the latent categories of elderly T2DM patients in the community, and the difference was statistically significant ( P<0.05) . Conclusions:There are classification characteristics of hypoglycemic fear levels in elderly T2DM patients in the community. Community medical and nursing staff should early identify patients in the "high fear-cautious behavior" group, regularly carry out targeted hypoglycemic health education and psychological intervention, reduce their hypoglycemic fear, and improve their quality of life.
