Objectives: Racial discrimination is consistently linked to negative mental health outcomes. However, less is known about how unique patterns of coping in Black Americans experiencing high discrimination stress may moderate the association between discrimination and mental health. The present study uses person-centered methods to identify and describe latent profiles of coping in Black Americans, to understand how these coping profiles are linked to mental health, and to examine whether latent coping profiles moderate the links between discrimination and mental health.
Method: Participants were Black Americans ( = 289; = 44.87; 63% women) from the Midlife Development in the United States Milwaukee Refresher study. Latent profile analysis was used to uncover subgroups characterized by distinct patterns of coping strategies. Direct associations between latent profile membership and mental health were examined. Finally, latent profiles were tested as moderators of associations between discrimination and mental health.
Results: Four profiles of coping responses were identified: passive responders (29% of the sample), evasive responders (15%), diverse responders (17%), and engaged responders (39%). Engaged responders had the lowest prevalence of mental health problems. Further, membership in the engaged responders profile moderated associations between discrimination and mental health, such that the associations between racial discrimination and mental health outcomes were generally stronger in other profiles.
Conclusions: Person-centered methods uncovered meaningful subgroups characterized by unique coping patterns and pointed to engaged responders as being most resilient to the effects of discrimination. Future research should test these associations longitudinally and examine whether more adaptive coping profiles can be fostered through intervention. (PsycInfo Database Record (c) 2025 APA, all rights reserved).
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1037/cdp0000728 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
External delay and dispersion correction of automatically sampled arterial blood with dual flow rates.
Biomed Phys Eng Express
January 2025
Brain Health Imaging Centre, Centre for Addiction and Mental Health, B68-250 College St, Toronto, Ontario, M5T 1R8, CANADA.
Objective: Arterial sampling for PET imaging often involves continuously measuring the radiotracer activity concentration in blood using an automatic blood sampling system (ABSS). We proposed and validated an external delay and dispersion correction procedure needed when a change in flow rate occurs during data acquisition. We also measured the external dispersion constant of [11C]CURB, [18F]FDG, [18F]FEPPA, and [18F]SynVesT-1.
View Article and Find Full Text PDFMapping the regional and remote specialised mental health workforce: Commentary on the AIHW data for 2022-2023.
Australas Psychiatry
January 2025
Consortium of Australian-Academic Psychiatrists for Independent Policy and Research Analysis (CAPIPRA), Canberra, ACT, Australia.
Objective: The Australian Institute of Health and Welfare publishes statistical indicator reports on the specialised mental health workforce. These include data for 2022-2023 on psychiatrists, mental health nurses, mental health occupational therapists, psychologists and mental health social workers. We provide a brief commentary on these reports, reflecting upon the implications of such changes for psychiatric practice and patient care.
View Article and Find Full Text PDFParental Mental Health and Child Maltreatment in the COVID-19 Pandemic: Importance of Sampling in a Quantitative Statistical Study.
J Med Internet Res
January 2025
Clinical Psychology and Psychotherapy, Department of Education and Psychology, Freie Universität Berlin, Berlin, Germany.
Background: Results on parental burden during the COVID-19 pandemic are predominantly available from nonrepresentative samples. Although sample selection can significantly influence results, the effects of sampling strategies have been largely underexplored.
Objective: This study aimed to investigate how sampling strategy may impact study results.
Effectiveness of Digital Mental Health Interventions in the Workplace: Umbrella Review of Systematic Reviews.
JMIR Ment Health
January 2025
Inspire, Belfast, United Kingdom.
Background: There is potential for digital mental health interventions to provide affordable, efficient, and scalable support to individuals. Digital interventions, including cognitive behavioral therapy, stress management, and mindfulness programs, have shown promise when applied in workplace settings.
Objective: The aim of this study is to conduct an umbrella review of systematic reviews in order to critically evaluate, synthesize, and summarize evidence of various digital mental health interventions available within a workplace setting.
The Use of AI in Mental Health Services to Support Decision-Making: Scoping Review.
J Med Internet Res
January 2025
School of Business, Innovation and Sustainability, Halmstad University, Halmstad, Sweden.
Background: Recent advancements in artificial intelligence (AI) have changed the care processes in mental health, particularly in decision-making support for health care professionals and individuals with mental health problems. AI systems provide support in several domains of mental health, including early detection, diagnostics, treatment, and self-care. The use of AI systems in care flows faces several challenges in relation to decision-making support, stemming from technology, end-user, and organizational perspectives with the AI disruption of care processes.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!