Objectives The aim of this study is to evaluate how community college students with hazardous drinking perceived the usefulness of alcohol protective behavioral strategy text messages (TM-PBS). Methods Community college students with past hazardous single occasion or weekly drinking (N = 48; 60% female) were randomized to receive 2 TM-PBS on 3 typical drinking days per week for 2 weeks selected by: (1) research investigators (ie, based on clinical and theoretical application); (2) participants (ie, messages highly rated at baseline by the participants); or (3) a random process. Prior to 2 typical drinking days per week, immediately after receiving TMs, we asked: "How useful do you think this strategy will be for you when you drink? Text a number from 1 (not useful) to 5 (very useful)." Results Response rates for the 12 messages ranged from 72.9% to 87.5%, with no differences in response rates across selection categories (ie, investigator, participant, random). Investigator-selected messages were rated as less useful than messages that were self-selected by participants or messages that were selected at random. Conclusions TM-PBS chosen a priori by students were perceived as more useful than TM-PBS chosen by investigators, supporting this form of tailoring in alcohol interventions to optimize usefulness.
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http://dx.doi.org/10.5993/AJHB.42.4.7 | DOI Listing |
Comput Biol Med
January 2025
School of Computer Science, Chungbuk National University, Cheongju 28644, Republic of Korea. Electronic address:
The fusion index is a critical metric for quantitatively assessing the transformation of in vitro muscle cells into myotubes in the biological and medical fields. Traditional methods for calculating this index manually involve the labor-intensive counting of numerous muscle cell nuclei in images, which necessitates determining whether each nucleus is located inside or outside the myotubes, leading to significant inter-observer variation. To address these challenges, this study proposes a three-stage process that integrates the strengths of pattern recognition and deep-learning to automatically calculate the fusion index.
View Article and Find Full Text PDFHIV Res Clin Pract
December 2025
Division of Infectious Diseases and Global Public Health, School of Medicine, University of California San Diego (UCSD), La Jolla, CA, USA.
Background: HIV remains a major challenge in KwaZulu-Natal, South Africa, particularly for young women who face disproportionate risks and barriers to prevention and treatment. Most HIV cure trials, however, occur in high-income countries.
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BMC Health Serv Res
January 2025
Amref Health Africa in Ethiopia, EPI Technical Assistant at West Gondar Zonal Health Department, SLL Project, COVID-19 Vaccine, Gondar, Ethiopia.
Background: Ethiopian healthcare relies heavily on Health Extension Workers (HEWs), who deliver essential services to communities nationwide. By analyzing existing research, the authors explore how prevalent job satisfaction is and what factors affect it. This comprehensive analysis aims to improve HEW satisfaction through targeted interventions, ultimately leading to a more effective healthcare workforce and better health outcomes in Ethiopia.
View Article and Find Full Text PDFDiabetol Metab Syndr
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Department of Endocrinology, Bharti Hospital, Karnal, Haryana, India.
Background: Of the numerous complications encountered by people with diabetes (PWD), the effect on mental health is concerning. Within mental health, diabetes distress (DD) occurs when a patient has unfavourable emotional stress while managing their condition, which can be managed by coping strategies but are less studied together in Indian settings. So, the present study aimed to determine the proportion of DD and associated factors and coping skills among the PWD.
View Article and Find Full Text PDFBMC Nurs
January 2025
Nursing Department, Hamad Medical Corporation, Doha, P.O. Box 3050, Qatar.
Background: Artificial Intelligence (AI) is increasingly applied in healthcare to boost productivity, reduce administrative workloads, and improve patient outcomes. In nursing, AI offers both opportunities and challenges. This study explores nurses' perspectives on implementing AI in nursing practice within the context of Jordan, focusing on the perceived benefits and concerns related to its integration.
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