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Sex and Gender Differences in Psychosocial Risk Profiles Among Patients with Coronary Heart Disease - the THORESCI-Gender Study.
van den Houdt, Sophie C M; Mommersteeg, Paula M C; Widdershoven, Jos; Kupper, Nina.
Afiliación
  • van den Houdt SCM; Center of Research On Psychological Disorders and Somatic Diseases (CoRPS), Department of Medical & Clinical Psychology, Tilburg University, PO Box 90153, 5000 LE, Tilburg, the Netherlands.
  • Mommersteeg PMC; Center of Research On Psychological Disorders and Somatic Diseases (CoRPS), Department of Medical & Clinical Psychology, Tilburg University, PO Box 90153, 5000 LE, Tilburg, the Netherlands.
  • Widdershoven J; Center of Research On Psychological Disorders and Somatic Diseases (CoRPS), Department of Medical & Clinical Psychology, Tilburg University, PO Box 90153, 5000 LE, Tilburg, the Netherlands.
  • Kupper N; Department of Cardiology, Elisabeth-TweeSteden Hospital, Doctor Deelenlaan 5, 5042 AD, Tilburg, the Netherlands.
Int J Behav Med ; 31(1): 130-144, 2024 Feb.
Article en En | MEDLINE | ID: mdl-37170007
BACKGROUND: Psychosocial factors tend to cluster and exhibit differences associated with sex assigned at birth. Gender disparities, though, remain uncharted so far. The current study aimed to first explore the clustering of eight established psychosocial risk factors among patients with coronary heart disease (CHD), followed by examining how sex and gender differences characterize these psychosocial risk profiles, while adjusting for the effect of age. METHOD: In total, 532 patients with CHD (Mage = 68.2 ± 8.9; 84% male) completed the comprehensive psychosocial screener and questionnaires to gauge gender identity, traits, and sociocultural norm scores. A three-step latent profile analysis (LPA) was performed to identify latent profiles and their correlates. RESULTS: LPA revealed six psychosocial risk profiles: (1) somewhat distressed overall (32%); (2) low distress (27%); (3) anger, hostility, and Type D (15%); (4) emotional distress and trauma (11%); (5) anxiety (9%); and (6) high overall distress (7%). Masculine traits and older age increased the odds to belong to the low distress profile (#2), while feminine traits and a feminine gender norm score increased the chance to belong to profiles with moderate to high distress. The effects of gender identity and feminine traits were sex dependent. CONCLUSION: The current study's findings explain heterogeneity among patients with CHD by considering the joint occurrence of psychosocial risk factors, and the role of sex, age, and gender within those profiles. Being more sensitive to the roles that sex, gender, and an integrated set of risk factors play may ultimately improve treatment and adherence.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Enfermedad Coronaria / Identidad de Género Tipo de estudio: Etiology_studies / Prognostic_studies / Risk_factors_studies Aspecto: Determinantes_sociais_saude Límite: Aged / Female / Humans / Male / Middle aged / Newborn Idioma: En Revista: Int J Behav Med Asunto de la revista: CIENCIAS DO COMPORTAMENTO Año: 2024 Tipo del documento: Article País de afiliación: Países Bajos Pais de publicación: Reino Unido
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Enfermedad Coronaria / Identidad de Género Tipo de estudio: Etiology_studies / Prognostic_studies / Risk_factors_studies Aspecto: Determinantes_sociais_saude Límite: Aged / Female / Humans / Male / Middle aged / Newborn Idioma: En Revista: Int J Behav Med Asunto de la revista: CIENCIAS DO COMPORTAMENTO Año: 2024 Tipo del documento: Article País de afiliación: Países Bajos Pais de publicación: Reino Unido