{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,19]],"date-time":"2026-10-19T10:50:05Z","timestamp":1792407005849,"version":"4.4.0"},"reference-count":28,"publisher":"Wiley","issue":"10","license":[{"start":{"date-parts":[[2026,9,23]],"date-time":"2026-09-23T00:00:00Z","timestamp":1790121600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"},{"start":{"date-parts":[[2026,9,23]],"date-time":"2026-09-23T00:00:00Z","timestamp":1790121600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Health Science Reports"],"published-print":{"date-parts":[[2026,10]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Background and Aims<\/jats:title>\n                    <jats:p>Diabetes mellitus contributes significantly to the global disease burden, affecting approximately 537 million adults worldwide, with over 75% residing in low and middle\u2010income countries (LMICs). In Zambia, evidence on metabolic predictors of vascular complications among patients with Type 2 Diabetes Mellitus (T2DM) is limited. This study aimed to estimate the incidence of vascular complications and identify metabolic and clinical factors associated with their occurrence among newly diagnosed T2DM patients.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>\n                      A retrospective cohort study was conducted among 315 adults aged \u2265\u200918 years, randomly selected from the University Teaching Hospital Diabetes Clinic registry in Zambia. Participants diagnosed between January 2013 and December 2016 were followed up until December 2023. Cox proportional hazards regression models estimated hazard ratios (HRs) at 95% confidence intervals, with best\u2010fitting model identified using Akaike Information Criterion. Statistical significance was set at\n                      <jats:italic>p<\/jats:italic>\n                      \u2009&lt;\u20090.05.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      Of 315 participants, 52.1% were female, with a mean age of 49.6\u2009\u00b1\u200913.5 years. Increasing age (HR\u2009=\u20091.047, 95% CI: 1.02\u20131.07,\n                      <jats:italic>p<\/jats:italic>\n                      \u2009=\u20090.001), hypertension (HR\u2009=\u20092.196, 95% CI: 1.58\u20133.03,\n                      <jats:italic>p<\/jats:italic>\n                      \u2009&lt;\u20090.001), elevated cholesterol (HR\u2009=\u20091.533, 95% CI: 1.00\u20132.33,\n                      <jats:italic>p<\/jats:italic>\n                      \u2009=\u20090.048), and poor glycaemic control (HR\u2009=\u200910.047, 95% CI: 2.04\u201349.31,\n                      <jats:italic>p<\/jats:italic>\n                      \u2009=\u20090.004) were predictors. Overweight and obesity increased risk (HR\u2009=\u20092.035, 95% CI: 1.24\u20133.33,\n                      <jats:italic>p<\/jats:italic>\n                      \u2009=\u20090.005; HR\u2009=\u20091.812, 95% CI: 1.13\u20132.90,\n                      <jats:italic>p<\/jats:italic>\n                      \u2009=\u20090.005). Age\u2010glycated hemoglobin interaction (HR\u2009=\u20091.006, 95% CI: 0.934\u20130.989,\n                      <jats:italic>p<\/jats:italic>\n                      \u2009=\u20090.007) indicated amplified poor glycaemic control effect with advancing age.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>Advancing age, hypertension, dyslipidaemia, obesity, and poor glycaemic control were key predictors. Age\u2010HbA1c interaction underscores need for age\u2010sensitive management. Integrating metabolic risk prediction could enhance early detection, risk stratification, and prevention, reducing diabetes burden in Zambia and LMICs.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1002\/hsr2.73294","type":"journal-article","created":{"date-parts":[[2026,9,23]],"date-time":"2026-09-23T09:27:36Z","timestamp":1790155656000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Metabolic Risk Predictors Associated With the Onset of Vascular Complications Among Patients With Type 2 Diabetes in Zambia: A Retrospective Statistical Modeling Study"],"prefix":"10.1002","volume":"9","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1446-1065","authenticated-orcid":false,"given":"Gunet","family":"Mwalungali","sequence":"first","affiliation":[{"name":"School of Medicine Cavendish University Lusaka Zambia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Welani","family":"Chilengwe","sequence":"additional","affiliation":[{"name":"School of Medicine Cavendish University Lusaka Zambia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"John","family":"Mwaba","sequence":"additional","affiliation":[{"name":"Institute of Basic and Biomedical Sciences Levy Mwanawasa Medical University Lusaka Zambia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Eustarckio","family":"Kazonga","sequence":"additional","affiliation":[{"name":"School of Post Graduate Studies University of Lusaka Lusaka Zambia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Richard","family":"Mutemwa","sequence":"additional","affiliation":[{"name":"School of Post Graduate Studies University of Lusaka Lusaka Zambia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0730-3795","authenticated-orcid":false,"given":"Martin","family":"Kampamba","sequence":"additional","affiliation":[{"name":"Department of Pharmacy, School of Health Sciences University of Zambia Lusaka Zambia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Larry","family":"Mweetwa","sequence":"additional","affiliation":[{"name":"Ministry of Technology and Science Government of the Republic of Zambia Lusaka Zambia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Audrey","family":"Hamachila","sequence":"additional","affiliation":[{"name":"Department of Pharmacy, School of Health Sciences University of Zambia Lusaka Zambia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Christine","family":"Mutati","sequence":"additional","affiliation":[{"name":"School of Medicine Cavendish University Lusaka 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