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| http://dx.doi.org/10.1136/bmjgh-2020-002913 | DOI Listing |
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What Influences Postpartum Depressive Symptoms? The role of Social Determinants of Health, Race-Based Discrimination and Stressful Life Experiences.
Matern Child Health J
January 2025
Department of Psychological Sciences, University of Missouri - St. Louis, St. Louis, MO, USA.
Objective: Development of postpartum depressive symptoms (PDS) is influenced by many social determinants of health, including income, discrimination, and other stressful life experiences. Early recognition of PDS is essential to reduce its long-term impact on mothers and their children, but postpartum checkups are highly underutilized. This study examined how stressful life experiences and race-based discrimination influence PDS development and whether or not a women has a postpartum checkup.
View Article and Find Full Text PDFEpigenome-wide association study of perceived discrimination in the Multi-Ethnic Study of Atherosclerosis (MESA).
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Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI, USA.
Perceived discrimination, recognized as a chronic psychosocial stressor, has adverse consequences on health. DNA methylation (DNAm) may be a potential mechanism by which stressors get embedded into the human body at the molecular level and subsequently affect health outcomes. However, relatively little is known about the effects of perceived discrimination on DNAm.
View Article and Find Full Text PDFDisparities in utilization of novel cancer therapies in advanced stage III and IV melanoma and variance in outcomes.
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Department of Surgery, Division of Surgical Oncology, Roger Williams Medical Center, Providence, RI, USA.
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Mitigating bias in AI mortality predictions for minority populations: a transfer learning approach.
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Department of Clinical Pharmacy and Translational Science, The University of Tennessee Health Science Center, Memphis, TN, USA.
Background: The COVID-19 pandemic has highlighted the crucial role of artificial intelligence (AI) in predicting mortality and guiding healthcare decisions. However, AI models may perpetuate or exacerbate existing health disparities due to demographic biases, particularly affecting racial and ethnic minorities. The objective of this study is to investigate the demographic biases in AI models predicting COVID-19 mortality and to assess the effectiveness of transfer learning in improving model fairness across diverse demographic groups.
View Article and Find Full Text PDFThe Effects of Motivational Interviewing on Promoting Human Papillomavirus Vaccination Initiation and Completion Among South Asian Mother/Daughter Dyads: A Pilot Randomised Controlled Trial.
Int J Behav Med
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The Nethersole School of Nursing, The Chinese University of Hong Kong, Hong Kong SAR, China.
Background: Vaccination against HPV is an effective strategy for the prevention of HPV infection and cervical cancer. Nevertheless, the HPV vaccine uptake rate is low among ethnic minorities in Hong Kong. This study sought to assess the feasibility and acceptability of motivational interviewing among South Asian mother-daughter dyads and to preliminarily examine its effects on knowledge of HPV infection and vaccination, health beliefs, intention to have the daughters vaccinated, and initiation and completion of HPV vaccine series.
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