Socioeconomic status moderate the relationship between mental health literacy, social participation, and active aging among Chinese older adults: evidence from a moderated network analysis

被引:2
作者
Huang, Yalian [1 ,2 ]
Zhou, Aibao [1 ]
Tang, Ping [2 ]
Ma, Xufeng [1 ]
机构
[1] Northwest Normal Univ, Sch Psychol, Lanzhou 730070, Peoples R China
[2] Chengdu Med Coll, Sch Psychol, Chengdu 610500, Peoples R China
基金
中国国家社会科学基金;
关键词
Mental health literacy; Active aging; Social participation; Socioeconomic status; Moderated network analysis; SELF-RATED HEALTH; ATTITUDES; ILLNESS; ASSOCIATION; STIGMA; MODEL; AGE; INTENTIONS; DEPRESSION; DISORDERS;
D O I
10.1186/s12889-024-21201-5
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
ObjectiveThe aging population represents a formidable global challenge, with China experiencing an accelerated demographic shift. While previous research has established a directional link between mental health literacy, social participation, and active aging, the moderating effect of socioeconomic status (SES) on these associations remains underexplored. This study sought to address this gap by employing moderated network analysis, in contrast to the total score approaches commonly used in prior literature.MethodsA cross-sectional design was implemented, involving 1,032 Chinese individuals aged 60 and above, who completed the Mental Health Literacy Questionnaire, Active Aging Scale, Social Participation Questionnaire, and Socioeconomic Status Index Scale. The moderated network method was applied to explore the bidirectional relationships between mental health literacy, social participation, and active aging, while examining the moderating role of SES.ResultsThe analysis identified the strongest bidirectional relationships between attitudes toward mental illness and the development of spiritual wisdom. Seven interaction terms emerged involving mental health literacy, social participation, and active aging, moderated by SES. Notably, the most significant interaction terms were found between attitudes toward mental illness and engagement in active learning.ConclusionsThese results contribute novel insights into the bidirectional relationships among mental health literacy, social participation, and active aging, as well as the role of SES in moderating these relationships. The findings highlight the need for targeted policy interventions to address socioeconomic inequalities in later life, thereby fostering active aging.
引用
收藏
页数:19
相关论文
共 88 条
[1]   PREDICTION OF GOAL-DIRECTED BEHAVIOR - ATTITUDES, INTENTIONS, AND PERCEIVED BEHAVIORAL-CONTROL [J].
AJZEN, I ;
MADDEN, TJ .
JOURNAL OF EXPERIMENTAL SOCIAL PSYCHOLOGY, 1986, 22 (05) :453-474
[2]  
Andersen R M, 1997, Adv Dent Res, V11, P203
[3]  
[Anonymous], 2011, ISCED 2011 Operational Manual: Guidelines for Classifying National Education Programmes and Related Qualifications, DOI DOI 10.1787/9789264228368-EN
[4]   SELF-REGULATION FOR MANAGERIAL EFFECTIVENESS - THE ROLE OF ACTIVE FEEDBACK SEEKING [J].
ASHFORD, SJ ;
TSUI, AS .
ACADEMY OF MANAGEMENT JOURNAL, 1991, 34 (02) :251-280
[5]   Defining and Assessing Wisdom: A Review of the Literature [J].
Bangen, Katherine J. ;
Meeks, Thomas W. ;
Jeste, Dilip V. .
AMERICAN JOURNAL OF GERIATRIC PSYCHIATRY, 2013, 21 (12) :1254-1266
[6]   Mental Health and Environmental Factors in Adults: A Population-Based Network Analysis [J].
Bjorndal, Ludvig Daae ;
Ebrahimi, Omid V. ;
Lan, Xiaoyu ;
Nes, Ragnhild Bang ;
Roysamb, Espen .
AMERICAN PSYCHOLOGIST, 2024, 79 (03) :368-383
[7]   Network Analysis: An Integrative Approach to the Structure of Psychopathology [J].
Borsboom, Denny ;
Cramer, Angelique O. J. .
ANNUAL REVIEW OF CLINICAL PSYCHOLOGY, VOL 9, 2013, 9 :91-121
[8]  
China Research Center on Aging, 2021, Briefing on the Data of the Sample Survey on the Living Conditions of the Elderly in Urban and Rural China
[9]   Attitudes toward aging, active coping, and depressive symptoms among middle-aged and older Korean adults: How do they differ by age group? [J].
Choi, Eun Young ;
Um, Sarang ;
Shin, Hyeri ;
Kim, Young Sun .
JOURNAL OF AFFECTIVE DISORDERS, 2022, 296 :380-387
[10]  
Conner M., 2015, Predicting and changing health behaviour: Research and practice with social cognition models, V3rd