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Objective And Methods: Health literacy is a key determinant of physical and mental health outcomes, particularly in low- and middle-income settings like South Africa, where multimorbidity is increasingly common. Limited health literacy may hinder effective management of multiple chronic conditions and worsen mental health. Using repeated cross-sectional nationally representative data, this study examined the relationship between health literacy and multimorbidity, with a specific focus on mental health among South African adults (18 years and older).
Results: Most respondents had minimal depression risk, with 21.7% showing probable depression, lower than the 25.7 and 26.2% in Panels 1 (2021) and 2 (2022) respectively. In efforts to further corroborate the odds of having mental or physical health risk with higher levels of ACE exposure, our results confirmed the increased likelihood of depression, anxiety and multimorbidity with increased odds of early adversity, irrespective of differing socio-demographics. The results further revealed that socioeconomic status directly influenced depression, which was partially mediated via health literacy. Additionally, the association between socioeconomic status and multimorbidity was fully mediated by ACE exposure and depression.
Conclusion: One in five South Africans experience depressive symptoms, with notable regional differences. Childhood adversity contributes to increased mental health risk and higher multimorbidity. Health literacy was found to influence the link between socioeconomic status and depression, suggesting that lower literacy increases vulnerability. These findings therefore emphasize the need for targeted interventions to address childhood adversity, improve health literacy, and enhance mental health resources across South Africa.
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http://dx.doi.org/10.3389/fpubh.2025.1622005 | DOI Listing |
Zhong Nan Da Xue Xue Bao Yi Xue Ban
May 2025
Department of Outpatient, Third Xiangya Hospital, Central South University, Changsha 410013.
Objectives: Urinary calculi are characterized by a high recurrence rate, and patients' adherence to self-management after discharge directly affects health outcomes. Traditional offline follow-up models often face problems such as poor compliance and uneven allocation of medical resources, making it difficult to meet individualized health management needs. Remote follow-up provides a novel solution to optimize long-term management, improve health literacy, and enhance clinical outcomes.
View Article and Find Full Text PDFCroat Med J
August 2025
Vladimir Trkulja, Department of Basic and Clinical Pharmacology, Zagreb University School Medicine, Šalata 11, 10000 Zagreb, Croatia,
Aim: To inventory the content of home pharmacies and evaluate drug keeping and self-medication practices in the households of medical and pharmacy students at Zagreb University in 2022, and to relate the findings to two previous surveys.
Methods: A cross-sectional survey enrolled 178 students who inventoried drug supplies in their family households, and interviewed household members on drug keeping and self-medication practices. Previous surveys included 287 (in 2001) and 225 (in 1977) students/households.
On October 17, 2022, the U.S. Food and Drug Administration (FDA) formally established a new category of hearing aids (HAs), now available over the counter (OTC).
View Article and Find Full Text PDFRen Fail
December 2025
Department of Nephrology, The Affiliated Hospital of Qingdao University, Qingdao, China.
Large language models (LLMs) represent a transformative advance in artificial intelligence, with growing potential to impact chronic kidney disease (CKD) management. CKD is a complex, highly prevalent condition requiring multifaceted care and substantial patient engagement. Recent developments in LLMs-including conversational AI, multimodal integration, and autonomous agents-offer novel opportunities to enhance patient education, streamline clinical documentation, and support decision-making across nephrology practice.
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