Browsing by Author "Rahman, Maisha"

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    A study on the prevalence and associated risk factors for anxiety among geriatric population in Bangladesh
    (BRAC University, 2025-05) Rahman, Maisha; Islam, Md. Rabiul
    Anxiety is considered the most prevalent psychological disorder among various mental health conditions across all age groups, including the geriatric population. The objective of this study is to evaluate the prevalence and identify the associated risk factors influencing anxiety in older adults aged 60 and above living in urban and rural settings using standardized evaluation tools. The study used the GAD-7 scale on 396 elderly individuals, which is a seven-item instrument designed to assess the severity of anxiety. The prevalence of anxiety was 88% among the elderly individuals who exhibited mild (48.5%), moderate (34.3%), severe (5.3%) symptoms of anxiety. Additionally, the study focuses on evaluating anxiety levels in relation to demographic variables including age, BMI range, sex, living area, marital status, living status, educational level, profession, economic condition, smoking habit and the presence of chronic diseases. The outcome will create a systematic understanding of the disease burden and associated risks of anxiety disorders, which will serve as the basis for focused public policy on mental health at the national, regional, and international levels.
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    Factors Influencing the Continued Usage Intention of AI-Powered Tools Among University Students
    (Daffodil International University, 2025-10-11) Rahman, Maisha
    This study investigates the factors influencing the continued usage intention of AI-powered tools among university students in Bangladesh, utilizing an extended Theory of Planned Behavior (TPB) framework. The research integrates constructs such as trust inAI, perceived usefulness, interpersonal influence, social media influence, self-efficacy, and technological infrastructure to provide a comprehensive understanding of students’ adoption behaviors. A quantitative, cross-sectional survey was conducted with 250university students, employing stratified random sampling to ensure diverse representation. Data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM) to test the hypothesized relationships.