{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"institution":[{"name":"Research Square"}],"indexed":{"date-parts":[[2025,5,14]],"date-time":"2025-05-14T06:46:22Z","timestamp":1747205182794,"version":"3.40.5"},"posted":{"date-parts":[[2021,4,26]]},"group-title":"In Review","reference-count":0,"publisher":"Springer Science and Business Media LLC","license":[{"start":{"date-parts":[[2021,4,26]],"date-time":"2021-04-26T00:00:00Z","timestamp":1619395200000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"accepted":{"date-parts":[[2021,4,9]]},"abstract":"<title>Abstract<\/title>\n        <p>Background\n\nDiabetes distress (DD) has broad-ranging effects on type 2 diabetes (T2DM) management and outcomes. DD research is scarce among ethnic minority groups, particularly Arabic-speaking immigrant communities. To improve outcomes for these vulnerable groups, healthcare providers, including pharmacists, need to understand modifiable predictors of DD.\nObjective\n\nTo assess and compare DD and its association with medication-taking behaviours, glycaemic control, self-management, and psychosocial factors among first-generation Arabic-speaking immigrants and English-speaking patients of Anglo-Celtic background with diabetes, and determine DD predictors. <italic>Setting<\/italic>: Various healthcare settings in Australia. <italic>Method<\/italic>: A multicentre cross-sectional study was conducted. Adults with T2DM completed a survey comprised of validated tools. Glycated haemoglobin, blood pressure, and lipid profile were gathered from medical records. Multiple linear regression models were computed to assess the DD predictors. <italic>Main outcome measure<\/italic>: Diabetes distress level.\nResults\n\nData was analysed for 696 participants: 56.3% Arabic-speaking immigrants and 43.7% English-speaking patients. Compared with English-speaking patients, Arabic-speaking immigrants had higher DD, lower medication adherence, worse self-management and glycaemic control, and poorer health and clinical profile. The regression analysis demonstrated that higher DD in Arabic-speaking immigrants was associated with cost-related medication underuse and lower adherence to exercise, younger age, lower education level, unemployment, lower self-efficacy, and inadequate glycaemic control. Whereas among English-speaking patients, higher DD was associated with both cost- and non-cost-related underuse of medication and lower dietary adherence.\nConclusion\n\nResults provided new insights to guide healthcare providers on reducing the apparent excess burden of DD among Arabic-speaking immigrants and potentially improve medication adherence, glycaemic control, and self-management.<\/p>","DOI":"10.21203\/rs.3.rs-405016\/v1","type":"posted-content","created":{"date-parts":[[2021,4,26]],"date-time":"2021-04-26T15:58:45Z","timestamp":1619452725000},"source":"Crossref","is-referenced-by-count":1,"title":["Diabetes Distress, Medication Taking, Glycaemic Control and Self-Management: Comparing a Minority Migrant Group With Mainstream Society"],"prefix":"10.21203","author":[{"given":"Hamzah","family":"Alzubaidi","sequence":"first","affiliation":[{"name":"University of Sharjah"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6662-0347","authenticated-orcid":false,"given":"Catarina","family":"Samorinha","sequence":"additional","affiliation":[{"name":"University of Sharjah"}]},{"given":"Hana","family":"Sulieman","sequence":"additional","affiliation":[{"name":"American University of Sharjah"}]},{"given":"Kevin Mc","family":"Namara","sequence":"additional","affiliation":[{"name":"Deakin University"}]},{"given":"Colette","family":"Browning","sequence":"additional","affiliation":[{"name":"Federation University Australia"}]}],"member":"297","container-title":[],"original-title":[],"link":[{"URL":"https:\/\/www.researchsquare.com\/article\/rs-405016\/v1","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.researchsquare.com\/article\/rs-405016\/v1.html","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,4,26]],"date-time":"2021-04-26T15:58:45Z","timestamp":1619452725000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.researchsquare.com\/article\/rs-405016\/v1"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,4,26]]},"references-count":0,"URL":"https:\/\/doi.org\/10.21203\/rs.3.rs-405016\/v1","relation":{},"subject":[],"published":{"date-parts":[[2021,4,26]]},"subtype":"preprint"}}