Adult literacy programs are characterized by high attrition rates. Rigorous exploration of student persistence in adult reading classes is lacking. This study was an attempt to understand the profiles of adults who completed reading classes compared to a group of adults who made it to the midpoint and a group of adults who did not make it to the midpoint. Students were offered 100 hours of instruction. Of the 395 students who attended the first day of class, only 198 completed the program. Results indicated that English language status, age, some reading related skills, class assignment, avoidance of reading, previous adult education experience, and Women, Infants, and Children (WIC) benefit receipt variables significantly predicted persistence. The significance of some of these predictors varied based on analyzing midpoint completion or full completion. To further explore the characteristics of the sample, the most representative participants were selected from the group that did not make it to midpoint and from the group that completed the program. Results indicated that the most representative members of these two groups differed in English language status, gender, age, some reading related skills, and information access.
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http://dx.doi.org/10.1007/s11145-012-9401-8 | DOI Listing |
J Adv Nurs
January 2025
Centre for Health Behaviours Research, JC School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, SAR, China.
Aims: Based on the socio-ecological model, the present study examined influencing factors of eHealth literacy among Chinese older adults at individual-level (e.g., socio-demographics, Internet use, and health status), interpersonal (e.
View Article and Find Full Text PDFBMJ Open
January 2025
Deep Digital Phenotyping Research Unit, Department of Precision Health, Luxembourg Institute of Health, Strassen, Luxembourg
Objectives: Diabetes distress can negatively affect the well-being of individuals with type 1 diabetes (T1D). Voice-based (VB) technology can be used to develop inexpensive and ecological tools for managing diabetes distress. This study explored the competencies to engage with digital health services, needs and preferences of individuals with T1D or caring for a child with this condition regarding VB technology to inform the tailoring of a co-designed tool for supporting diabetes distress management.
View Article and Find Full Text PDFJMIR Ment Health
December 2024
Department of Psychiatry, Northwell Health, Zucker Hillside Hospital, Glen Oaks, NY, United States.
Background: Digital health technologies are increasingly being integrated into mental health care. However, the adoption of these technologies can be influenced by patients' digital literacy and attitudes, which may vary based on sociodemographic factors. This variability necessitates a better understanding of patient digital literacy and attitudes to prevent a digital divide, which can worsen existing health care disparities.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
University of Michigan School of Public Health, Ann Arbor, MI, USA.
Background: The ε4 allele of the apolipoprotein E (APOE) gene is the strongest genetic determinant for Alzheimer's disease and cognitive function in nearly all human populations, yet inconsistent effects have been reported in South Asians. The population of India has admixed genetic ancestry with most people falling on a North/South cline and having varying proportions of Ancestral North Indian (ANI) and Ancestral South Indian (ASI) ancestries, and those in east of India fall off the cline due to ancestry from additional ancestral populations. This study examined the ε4 association with cognitive function across 18 states/union territories of India and investigated whether ancestral background modulates ε4 association with cognitive function in 2,590 participants from the Longitudinal Aging Study in India - Diagnostic Assessment of Dementia (LASI-DAD).
View Article and Find Full Text PDFAlzheimers Dement
December 2024
Wayne State University, Detroit, MI, USA; Wayne State University/MADRC, Detroit, MI, USA.
Background: Assessing financial capacity in older adults with memory loss is becoming an increasingly important area so as to minimize wealth loss and cases of financial exploitation. The National Academy of Sciences has recommended "real world" assessment of financial management and yet this continues to be lacking. The WALLET (Wealth Accumulation and Losses in Late-life Early Cognitive Transitions) study provides a new "real world" approach to assessing financial management.
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