{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,17]],"date-time":"2026-09-17T18:08:23Z","timestamp":1789668503964,"version":"4.0.1"},"reference-count":34,"publisher":"Public Library of Science (PLoS)","issue":"9","license":[{"start":{"date-parts":[[2026,9,17]],"date-time":"2026-09-17T00:00:00Z","timestamp":1789603200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["www.plosone.org"],"crossmark-restriction":false},"short-container-title":["PLoS One"],"abstract":"<jats:sec id=\"sec001\">\n                    <jats:title>Introduction<\/jats:title>\n                    <jats:p>Medication non-adherence remains a considerable public health concern among diabetic patients in Bangladesh. It can lead to waste of medication, disease progression, a lower quality of life, and increased use of medical resources. The aim of this study is to comprehensively assess the factors associated with medication adherence among diabetic patients in Bangladesh.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec id=\"sec002\">\n                    <jats:title>Materials and methods<\/jats:title>\n                    <jats:p>A sample of 426 diagnosed diabetic patients was conveniently recruited from government hospitals (secondary and tertiary level), outpatient clinics, and physicians\u2019 private practices between August and September 2023. A pretested semi-structured questionnaire was employed for interviewer-administered data collection. The questionnaire included socio-demographic history, personal characteristics, disease-related information, and a medication adherence rating scale (MARS-5). A multivariable logistic regression model was used to explore the factors associated with medication adherence.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec id=\"sec003\">\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>The mean age of the participants was 55.49\u00b110.19 years, and half of them were female (50.00%) and lived with a partner (50.70%). The prevalence of poor medication adherence was 42.25% (95% CI: 37.63\u201347.01%). Participants who lived with a partner (AOR: 1.66, CI: 1.03\u20132.68), had higher educational status (AOR: 2.65, CI: 1.08\u20136.54), understanding of all current medication (AOR: 1.69, CI: 1.04\u20132.77), satisfaction with healthcare (AOR: 2.53, CI: 1.32\u20134.88) were associated with good medication adherence. Conversely, a higher number of medications (AOR: 0.87, CI: 0.76\u20131.00), self-medication (AOR: 0.35, CI: 0.18\u20130.70), and poor mental health (AOR: 0.53, CI: 0.30\u20130.92) were associated with a lower likelihood of good adherence.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec id=\"sec004\">\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>Medication non-adherence among diabetic patients is considered to be highly prevalent in Bangladesh. Several factors, including educational status, understanding of medications, satisfaction with healthcare, self-medication, mental health, and number of medications, were associated with medication adherence.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1371\/journal.pone.0343647","type":"journal-article","created":{"date-parts":[[2026,9,17]],"date-time":"2026-09-17T17:30:27Z","timestamp":1789666227000},"page":"e0343647","update-policy":"https:\/\/doi.org\/10.1371\/journal.pone.corrections_policy","source":"Crossref","is-referenced-by-count":0,"title":["Factors associated with medication adherence among adult diabetic patients of Bangladesh"],"prefix":"10.1371","volume":"21","author":[{"given":"Simanta","family":"Roy","sequence":"first","affiliation":[{"name":"Robert Stempel College of Public Health & Social Work","place":["Miami, Florida, United States of America"],"department":["Department of Epidemiology"]},{"name":"North South University","place":["Dhaka-1229, 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