Study on the latent profile characteristics and influencing factors of capability-opportunity-motivation-behavior in stroke patients
10.3760/cma.j.cn115682-20240304-01100
- VernacularTitle:脑卒中患者能力-机会-动机-行为潜剖面特征及影响因素研究
- Author:
Lina GUO
1
;
Yuying XIE
;
Mengyu ZHANG
;
Xinxin ZHOU
;
Peng ZHAO
;
Miao WEI
;
Han CHENG
;
Qingyang LI
;
Caixia YANG
;
Keke MA
;
Yanjin LIU
;
Yuanli GUO
Author Information
1. 郑州大学第一附属医院神经内科，国家高级卒中中心，郑州 450052
- Keywords:
Stroke;
Capability-opportunity-motivation-behavior;
Health behavior;
Latent profile analysis;
Influencing factor
- From:
Chinese Journal of Modern Nursing
2024;30(25):3374-3381
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To explore the latent profile types of capability-opportunity-motivation-behavior in stroke patients and analyze the influencing factors of different latent profiles.Methods:From January to October 2023, totally 596 stroke patients from the Neurology Department of five ClassⅢ Grade A hospitals in Henan Province were selected by stratified random sampling. The patients were surveyed using a general information questionnaire, the Stroke Prevention Knowledge Questionnaire (SPKQ), the Social Support Rating Scale (SSRS), the WHO's Quality of Life Questionnaire- Brief Version (WHOQOL-BREF), the Short Form Health Belief Model Scale (SF-HBMS), and the Health Promoting Lifestyle ProfileⅡ (HPLPⅡ). Latent profile analysis was used to classify the capability-opportunity-motivation-behavior characteristics of stroke patients, and multiple logistic regression was conducted to explore the influencing factors of different latent profiles.Results:Three latent profiles of capability-opportunity-motivation-behavior in stroke patients were identified, including low capability-opportunity-motivation-behavior with high health beliefs (32.4%, 193/596), moderate capability-opportunity-motivation-behavior with insufficient health beliefs (47.5%, 283/596), and high capability-opportunity-motivation-behavior with lack of social support (20.1%, 120/596). Multiple logistic regression analysis showed that educational level, smoking history, family history, body mass index, and Charlson Comorbidity Index score were influencing factors of different latent profiles ( P<0.05) . Conclusions:Stroke patients exhibit distinct classifications of capability-opportunity-motivation-behavior. Targeted interventions should be conducted based on the characteristics of each category to improve health behavior management outcomes in patients.
