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Geographic Variation In Cardiometabolic Risk Distribution: A Cross-Sectional Study Of 256,525 Adult Residents In The Illawarra-Shoalhaven Region Of The Nsw, Australia, Renin Toms, Darren J. Mayne, Xiaoqi Feng, Andrew D. Bonney
Geographic Variation In Cardiometabolic Risk Distribution: A Cross-Sectional Study Of 256,525 Adult Residents In The Illawarra-Shoalhaven Region Of The Nsw, Australia, Renin Toms, Darren J. Mayne, Xiaoqi Feng, Andrew D. Bonney
Illawarra Health and Medical Research Institute
Introduction Metabolic risk factors for cardiovascular disease (CVD) warrant significant public health concern globally. This study aims to utilise the regional database of a major laboratory network to describe the geographic distribution pattern of eight different cardiometabolic risk factors (CMRFs), which in turn can potentially generate hypotheses for future research into locality specific preventive approaches. Method A cross-sectional design utilising de-identified laboratory data on eight CMRFs including fasting blood sugar level (FBSL); glycated haemoglobin (HbA1c); total cholesterol (TC); high density lipoprotein (HDL); albumin creatinine ratio (ACR); estimated glomerular filtration rate (eGFR); body mass index (BMI); and diabetes mellitus (DM) status …
Cross-Sectional Study Of Area-Level Disadvantage And Glycaemic-Related Risk In Community Health Service Users In The Southern.Iml Research (Simlr) Cohort, Roger Cross, Andrew D. Bonney, Darren J. Mayne, Kathryn M. Weston
Cross-Sectional Study Of Area-Level Disadvantage And Glycaemic-Related Risk In Community Health Service Users In The Southern.Iml Research (Simlr) Cohort, Roger Cross, Andrew D. Bonney, Darren J. Mayne, Kathryn M. Weston
Faculty of Science, Medicine and Health - Papers: part A
Objectives. The aim of the present study was to determine the association between area-level socioeconomic disadvantage and glycaemic-related risk in health service users in the Illawarra-Shoalhaven region of New South Wales, Australia. Methods. HbA1c values recorded between 2010 and 2012 for non-pregnant individuals aged 18 years were extracted from the Southern.IML Research (SIMLR) database. Individuals were assigned quintiles of the Socioeconomic Indices for Australia (SEIFA) Index of Relative Socioeconomic Disadvantage (IRSD) according to their Statistical Area 1 of residence. Glycaemic risk categories were defined as HbA1c 5.0-5.99% (lowest risk), 6.0-7.49% (intermediate risk) and 7.5% (highest risk). Logistic regression models were …