Browsing by Author "Chowdhury, Arpita"

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    Assessment of the Sleep Quality Among Type 2 Diabetes Mellitus Patients
    (Daffodil International University, 2024-07-24) Chowdhury, Arpita
    This cross-sectional study aimed to assess the sleep quality among Type 2 Diabetes Mellitus (T2DM) patients attending BIRDEM General Hospital in Dhaka, Bangladesh, during the period from 19th August 2023 to 20th September 2023. A sample size of 150 participants was determined and were selected from the diagnosed T2DM patient population. Data collection tools included a structured questionnaire for demographic and clinical information, along with the Pittsburgh Sleep Quality Index (PSQI) questionnaire. Sleep quality was categorized as good (score ≤ 6) or poor (score > 6). Sleep quality among the 150 patients with Type 2 Diabetes Mellitus (T2DM) reveals that a significant majority, 68.7%, were categorized as poor, while 31.3% were good. Sleep disturbance characteristics demonstrated a range of sleep-related issues, including subjective sleep quality, sleep latency, duration, disturbances, and the use of sleeping medication. Factors associated with poor sleep quality were analyzed, revealing a statistically significant association with BMI (p=0.035), while other factors such as gender, age, residence, occupation, duration of T2DM, glycemic control, and treatment modalities did not show any significant associations. The significant association between BMI categories and sleep quality underscores the importance of addressing weight management as part of comprehensive diabetes care
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    Modeling the Role of C2C Information Quality on Purchase Decision in Facebook
    (The International Federation for Information Processing, 2018-10-12) Haque, Rafita; Mahmud, Imran; Sharif, Md. Hasan; Kabir, S. Rayhan; Chowdhury, Arpita; Akter, Farzana; Akhi, Amatul Bushra
    A market which provides an innovative way to allow customers to interact with each other called Customer-to-customer (C2C) market. In C2C communications, online communities play an important role in decision making to buy a product. This investigation develops a research model for online communities of Facebook commerce (F-Commerce) in Bangladesh region, which is based on Information Adoption Model (IAM). This study exhibits a model to influences of C2C communication on Bangladeshi consumers’ purchase decision in the online communities of F-Commerce. The proposed model used the Partial Least Squares (PLS) technique to test 120 effective survey data. This survey data has been taken from the Bangladesh Facebook users and strongly involved in product buy-sell at F-Commerce. The analyzed results show that Argument Quality (AQ), Source Credibility (SC) and Tie Strength (TS) positively influence Purchase Decision (PD) through Product Usefulness Evaluation (PUE). In addition, Tie Strength exhibits difference effect on Product Usefulness Evaluation between the contexts of consumers communicating with virtual consumers relationships. Theoretical and executive implications are discussed for constructing our proposed model.