Objectives: We examined associations between health literacy and predictors of smoking cessation among 402 low-socioeconomic status (SES), racially/ethnically diverse smokers.
Methods: Data were collected as part of a larger study evaluating smoking health risk messages. We conducted multiple linear regression analyses to examine relations between health literacy and predictors of smoking cessation (i.e., nicotine dependence, smoking outcome expectancies, smoking risk perceptions and knowledge, self-efficacy, intentions to quit or reduce smoking).
Results: Lower health literacy was associated with higher nicotine dependence, more positive and less negative smoking outcome expectancies, less knowledge about smoking health risks, and lower risk perceptions. Associations remained significant (P < .05) after controlling for demographics and SES-related factors.
Conclusions: These results provide the first evidence that low health literacy may serve as a critical and independent risk factor for poor cessation outcomes among low-socioeconomic status, racially/ethnically diverse smokers. Research is needed to investigate potential mechanisms underlying this relationship.
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http://dx.doi.org/10.2105/AJPH.2012.301062 | DOI Listing |
J Med Internet Res
January 2025
Department of Health Promotion and Health Education, College of Education, National Taiwan Normal University, Taipei, Taiwan.
Background: Chronic kidney disease (CKD) imposes a significant global health and economic burden, impacting millions globally. Despite its high prevalence, public awareness and understanding of CKD remain limited, leading to delayed diagnosis and suboptimal management. Traditional patient education methods, such as 1-on-1 verbal instruction or printed brochures, are often insufficient, especially considering the shortage of nursing staff.
View Article and Find Full Text PDFPLoS One
January 2025
Department of Pediatrics and Child Health, Makerere University, College of Health Sciences, Kampala, Uganda.
Background: Chat Generative Pre-trained Transformer (ChatGPT) is a 175-billion-parameter natural language processing model that uses deep learning algorithms trained on vast amounts of data to generate human-like texts such as essays. Consequently, it has introduced new challenges and threats to medical education. We assessed the use of ChatGPT and other AI tools among medical students in Uganda.
View Article and Find Full Text PDFPLOS Digit Health
January 2025
School of Nursing, McMaster University, Hamilton, Ontario, Canada.
The multicomponent Remission Evaluation of Medical Interventions in T2D (REMIT) program has shown reduction of hazard of diabetes relapse by 34-43%, but could benefit from improved ability to scale, spread, and sustain it. This study explored, at the conceptualization phase, patient and health coach perspectives on the acceptability, adoption, feasibility, and appropriateness of a digital REMIT adaptation (diabetes technology enabled coaching (DTEC)). Twelve semi-structured interviews were conducted with patients (n = 6) and health coaches (n = 6) to explore their experiences with the REMIT study, opportunities for virtualisation, and a cognitive walkthrough of solution concepts.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
Harvard T.H. Chan School of Public Health, Cambridge, MA, USA.
Background: Informant reports are commonly regarded as reliable and supplemental alongside respondent cognitive assessments, particularly in low-literacy settings with absent normative data. We evaluate the performance of the Informant Questionnaire on Cognitive Decline in the Elderly (IQCODE) in rural South Africa.
Method: This study utilizes data from the Cognition and Dementia in a Longitudinal Health and Aging Study in South Africa (HAALSI-HCAP).
Alzheimers Dement
December 2024
Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
Background: Both limited health literacy (HL) and elevated blood pressure variability (BPV) in later life have been associated with the risk of dementia and cognitive impairment. However, little is known about the relationship between HL, BPV, and domain-specific cognitive decline. We aimed to examine this relationship among primary care older adults.
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