Latent profile analysis and influencing factors of depression in mild cognitive impairment patients
10.3760/cma.j.cn211501-20240613-01532
- VernacularTitle:轻度认知障碍患者抑郁症状的潜在剖面分析及影响因素
- Author:
Xi ZHANG
1
;
Chunxia WANG
1
;
Daojun HONG
1
;
Xiaobing LI
1
;
Xiaojiao GONG
1
;
Ziying ZOU
1
Author Information
1. 南昌大学第一附属医院神经内科，南昌 330000
- Publication Type:Journal Article
- Keywords:
Cognition disorders;
Depression;
Influencing factors;
Latent profile analysis
- From:
Chinese Journal of Practical Nursing
2025;41(16):1214-1221
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To explore the categories and influencing factors of depression in mild cognitive impairment (MCI) patients, so as to provide a reference for formulating precise interventions for depression in MCI patients.Methods:A cross-sectional investigation was conducted. Patients with MCI admitted to the Department of Neurology, The First Affiliated Hospital of Nanchang University from December 2022 to December 2023 were selected as the investigation objects by convenience sampling method. The general data questionnaire, Hamilton Depression Rating Scale-17, Montreal Cognitive Assessment Scale and Lubben Social Network Scale-6 were used to conduct a survey. Latent profile analysis and multiple Logistic regression analysis were used to explore the categories and influencing factors of depression.Results:A total of 537 patients with MCI were included, including 335 females and 202 males, aged (65.72 ± 9.53) years old. MCI patients scored (22.67 ± 4.68) points on the Montreal Cognitive Assessment Scale, (13.27 ± 5.73) points on the Lubben Social Network Scale-6, and 9.00 (5.00, 13.00) points on the Hamilton Depression Rating Scale-17. The depression in MCI patients could be divided into three categories: low risk depression (67.8%, 364/537), low depression-sleep disorder (20.1%, 108/537), and high depression-anxiety (12.1%, 65/537). The multiple Logistic regression analysis showed that gender, education, living style, social isolation and cognitive function were the influencing factors for different categories of depression ( OR values were 0.443-2.921, all P<0.05). Conclusions:There are individual differences in depression in patients with MCI, and precise intervention should be implemented according to the characteristics of different categories of depression.
