Major life events trigger change processes in mental health. We examined how depressive symptoms change in conjunction with cancer diagnosis during adulthood and old age, and whether sociodemographic variables, cognitive and health resources, and cancer-specific mortality risks moderate event-related reaction and adaptation. Specifically, we applied multiphase growth models to prospective longitudinal data from 2,848 participants (age at diagnosis: M = 69, SD = 9.91; 46% women) in the Health and Retirement Study (HRS) who reported receiving a cancer diagnosis while enrolled in the study. On average, individuals experienced a significant increase in depressive symptoms within 2 years of cancer diagnosis, still-elevated levels 2 years postdiagnosis, and smaller increases in depressive symptoms postdiagnosis relative to the increases observed prediagnosis. Better memory and lower cancer-specific mortality risks were protective against increases in depressive symptoms within 2 years of diagnosis and were associated with reporting fewer depressive symptoms 2 years postdiagnosis. Findings suggest that diagnosis-related changes in depressive symptoms are typically characterized by a multiphase pattern, but tremendous between-person differences also emerged within each phase. Follow-up analyses comparing a matched group (N = 2,272) who did not experience cancer provided an additional layer of evidence supporting our inferences. Results indicate that, on average, people adapt and adjust to the challenges accompanying a cancer diagnosis, and illustrate the utility of using natural experiments such as major life events as a paradigm for studying developmental change processes.
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http://dx.doi.org/10.1037/a0029775 | DOI Listing |
Brain Behav
January 2025
School of Physical Education, Shanghai University of Sport, Shanghai, China.
Objective: To explore the mediating pathway of cognitive flexibility in the relationship between physical activity and depressive symptoms among university students.
Methods: A cross-sectional design was used to survey 2537 university students using the Physical Activity Rating Scale-3, Patients' Health Questionnaire, and Cognitive Flexibility Inventory. Data analysis was conducted using independent samples t-test, chi-square test, correlation analysis, one-way ANOVA, and mediation analysis.
Int J Ment Health Nurs
February 2025
Alice Lee Centre for Nursing Studies, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
Indonesian adolescents face an increased risk of developing mental health conditions such as depression and anxiety, largely due to insufficient mental health literacy and awareness. This lack of knowledge often leads to delayed recognition and treatment. To address this, the present descriptive qualitative study explores Indonesian adolescents' perceptions of mental health challenges and needs.
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January 2025
Department of Pediatrics №2, I.Ya. Horbachevsky Ternopil National Medical University, Ternopil, Ukraine.
Introduction: The mental health of medical students is a key factor for academic performance and the delivery of high-quality medical care in the future. Globally, medical students face numerous challenges that can affect their education. Living and studying facing the war has a crucial influence on medical students' education and daily life.
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January 2025
School of Public Health, Southern Medical University, Guangzhou, China.
Background: Frontline medical staff's psychological symptoms deserve persistent attention after 3 years of high-pressure and high-intensity work during the pandemic. In addition, the meaning of burnout and its relationship with depression and anxiety have long been debated. This study aimed to identify profiles of these symptoms among Chinese medical staff with frontline anti-epidemic experience, along with their distinguishing characteristics.
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January 2025
Utah Department of Health, Salt Lake City, UT, United States.
To examine the relationship between socioeconomic deprivation and complex needs, defined as mental and physical comorbidities, we conducted a cross-sectional retrospective cohort analysis of adult Utah Medicaid beneficiaries. Our analysis included Medicaid beneficiaries with geocoded addresses aged ≥18 years in Utah ( = 157,739). We geocoded beneficiary addresses and assigned them to census block groups.
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