Objectives: This study aimed to investigate the role of the five-factor model of personality (FFM) and the moderating role of gender and age in predicting medication adherence (MA) and self-care behaviors (SCB) among Iranian patients with type 2 diabetes mellitus (T2DM).
Methods: This study was conducted on 495 patients with T2DM (73.5% female; n = 364) from two major cities of Iran (Tehran and Qom) in 2019. Pearson's correlation coefficient, multiple regression analysis, and conditional process analysis were performed. P < .05 and P < .10 were considered significant for the relationships and moderation analysis, respectively.
Results: Neuroticism indicated a negative association with MA and SCB. Positive associations were found between MA and personality traits, including extraversion, agreeableness, and conscientiousness, whereas extraversion showed a weak correlation with SCB. According to the covariate-adjusted regression model, neuroticism had a negative effect on MA and SCB. Agreeableness had a positive effect on MA and a negative effect on SCB. However, extraversion exerted a negative effect on MA and a positive effect on SCB. Also, the negative effect of neuroticism on MA was highlighted in women, indicating marginally significant moderation effect. The positive effects of extraversion and conscientiousness on MA were moderated by age. The effect of conscientiousness on SCB was positive in young patients and negative in old patients. No interaction effect was observed between age and gender.
Conclusion: This study indicated that neuroticism, extraversion, and agreeableness significantly contributed to MA, but not to SCB. However, the effects were conditioned by age for extraversion and conscientiousness to some extent.
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http://dx.doi.org/10.1016/j.jpsychores.2020.110178 | DOI Listing |
J Med Internet Res
January 2025
Department of Industrial and Systems Engineering, The University of Florida, GAINESVILLE, FL, United States.
Background: The implementation of large language models (LLMs), such as BART (Bidirectional and Auto-Regressive Transformers) and GPT-4, has revolutionized the extraction of insights from unstructured text. These advancements have expanded into health care, allowing analysis of social media for public health insights. However, the detection of drug discontinuation events (DDEs) remains underexplored.
View Article and Find Full Text PDFJ Epidemiol Glob Health
January 2025
Department of Community Medicine, School of Medical Sciences, Universiti Sains Malaysia, Kelantan, Malaysia.
Background: Rabies is a preventable yet deadly public health threat. Despite the availability of effective vaccines for both humans and animals, the persistence of rabies-related fatalities underscores the need for enhanced public education strategies. This study aimed to develop and validate a Rabies Health Education Module delivered via a Massive Open Online Course, targeting adult dog owners in Kelantan, Malaysia.
View Article and Find Full Text PDFJ Clin Child Adolesc Psychol
January 2025
Research and Clinical Science, Partnership to End Addiction.
Objective: Changing Academic Support in the Home for Adolescents with ADHD (CASH-AA) and Medication Integration Protocol (MIP) are two family-based behavioral protocols designed to promote family solutions to academic problems and medication decision-making. Building on a randomized control trial examining these protocols, the current study examined how protocol dose, an indicator of treatment adherence, was associated with treatment outcomes.
Method: The sample consisted of 145 adolescent clients (M age = 14.
Clin Child Psychol Psychiatry
January 2025
Department of Clinical Pharmacy, Hacettepe University Faculty of Pharmacy, Türkiye.
Adolescents with mental illnesses often struggle with adhering to prescribed medication regimens. This study investigates how patient perceptions influence medication adherence among adolescents with psychiatric disorders. It also examines the role of patient characteristics and medication-related factors on adherence and attitudes.
View Article and Find Full Text PDFJ Am Psychiatr Nurses Assoc
January 2025
Whitney Peterson, DNP, MSN-Ed., RN.
Background: It's estimated that over 50% of patients prescribed antipsychotic medication are nonadherent to the prescribed treatment. Medication nonadherence impedes the patient's safety, leads to relapse, and the need for rehospitalization. Thus bolstering the importance of routine nursing follow-up interventions to improve adherence rates in patient with SMI.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!