The current status of mental health literacy among empty nesters and its latent profile analysis
Objective To investigate the current status of mental health literacy among empty nesters,analyze their latent profile categories,and clarify the characteristics of their different potential profile populations and their influ-encing factors.Methods A questionnaire survey was conducted on 363 empty nesters in Huzhou City,Zhejiang Prov-ince,China,from March to July 2022 using the multi-stage stratified random sampling method,with the basic informa-tion questionnaire and the mental health literacy scale(MHLS)as the measurement tools.Latent profile analysis was conducted to characterize the mental health literacy of empty nesters elderly in Huzhou City,and the influencing factors of their different latent profile populations were identified by univariate analysis and multivariate logistic regression analy-sis.Results The total MHLS score of empty nesters was 95.98±21.46,and their mental health literacy was catego-rized into three latent profile categories named"high cognitive-active exploration type"(23.14%),"medium cognitive-si-lent outreach type"(49.31%),and"low cognitive-passive indoctrination type"(27.55%).The results of multiple logis-tic regression analysis showed that place of residence,level of education,personal monthly income,self-rated health sta-tus,and history of exposure to mental illness/consultation with mental health services are influencing factors of mental health literacy among empty nesters(all P<0.05).Conclusions The mental health literacy level of empty nesters el-derly is insufficient,and their mental health literacy is heterogeneous.Primary health-care workers should focus on the"low cognition-passive indoctrination type"and take targeted interventions to improve the mental health literacy level of empty nesters elderly people,improve their mental health,and promote their eventual realization of healthy aging.
mental healthmental health literacyempty nesterslatent profile analysisself-rated health status
万方数据
维普
