Latent profile analysis of activation characteristics of elderly stroke patients and the relationship with health behaviors
DENG Man
QIN Haiyan
ZHANG Shiqing
FENG Huan
YU Weihua
Abstract:Objective To explore the potential categories of activation and the correlation between patient activation and health behav-iors in elderly stroke patients.Methods A convenience sampling method was used to select a total of 327 elderly stroke patients from 4 terti-ary grade A hospitals in 2 cities in Anhui Province from December 2023 to March 2024 as subjects.A general information questionnaire,the Consumer Health Activation Index and the Health Behavior Scale for Stroke Patients were used as investigative tools.Mplus 8.3 was employed to conduct a categorical analysis of patient activation in elderly stroke patients and explore the relationship between the level of activation and health behaviors.Results The characteristics of activation in elderly stroke patients could be classified into three categories,including low activation-helpless coping group,medium activation group,and high activation perception-action group,accounting for 25.08%,29.05%and 45.87%respectively.There was a positive correlation between the activation of elderly stroke patients and health behaviors(P<0.01).The differences in total health behavior scores,as well as the scores in the dimensions of exercise,medication adherence,following instructions,re-sponsibility,and nutrition,among different latent categories of patient activation were statistically significant.Higher levels of patient activation were associated with better health behaviors(P<0.001).Conclusion There is group heterogeneity in the positivity of elderly stroke patients.The potential category of positivity has a significant impact on the health behavior of elderly stroke patients.Clinical medical staff need to de-velop precise and systematic intervention strategies based on the activation characteristics of different categories of patients,in order to pro-mote patients'transition from passive health to active health,improve their health behaviors,and promote active aging.
Keywords:elderlystrokepatient activationhealth behaviornursingpotential profile analysis
Publication Date:2025-10-10
Online Publishing Date:2025-12-01(First online date of this platform, not the publication date of the document)
Pages:6( 879-884 )
