Syed Shahzad Hasan1, Alexandra M Clavarino2, Abdullah A Mamun3, Therese Kairuz4. 1. The University of Queensland, 20 Cornwall Street, Woolloongabba 4102, Queensland, Australia. Electronic address: shahzad.syed@uqconnect.edu.au. 2. The University of Queensland, 20 Cornwall Street, Woolloongabba 4102, Queensland, Australia. Electronic address: a.clavarino@sph.uq.edu.au. 3. The University of Queensland, Herston Road, Herston 4006, Queensland, Australia. Electronic address: mamun@sph.uq.edu.au. 4. The University of Queensland, 20 Cornwall Street, Woolloongabba 4102, Queensland, Australia. Electronic address: t.kairuz@pharmacy.uq.edu.au.
Abstract
AIMS: We estimated the incidence and risk of diabetes associated with depressive symptoms using data from longitudinal studies. MATERIALS AND METHODS: Databases were systematically searched for relevant studies. Incidence of diabetes is presented as cumulative incident proportion (CIP). Pooled effect sizes were calculated using random-effects model. The data were reconstructed to compute relative risk (RR). RESULTS: The 16 studies selected for review generated 16 datasets of which 8 studies reporting binary estimates (RR) and 8 studies reporting time-to-event estimates (hazard ratio (HR)). Both RR and HR were significant at 1.67 (95% CI: 1.30-2.15) and 1.45 (95% CI: 1.12-1.87) for incident diabetes associated with depressive symptoms. CONCLUSION: Our observations revealed greater cumulative incidence of diabetes in depressed than in non depressed groups. Depression should be included among risk factors that required regular screening for diabetes.
AIMS: We estimated the incidence and risk of diabetes associated with depressive symptoms using data from longitudinal studies. MATERIALS AND METHODS: Databases were systematically searched for relevant studies. Incidence of diabetes is presented as cumulative incident proportion (CIP). Pooled effect sizes were calculated using random-effects model. The data were reconstructed to compute relative risk (RR). RESULTS: The 16 studies selected for review generated 16 datasets of which 8 studies reporting binary estimates (RR) and 8 studies reporting time-to-event estimates (hazard ratio (HR)). Both RR and HR were significant at 1.67 (95% CI: 1.30-2.15) and 1.45 (95% CI: 1.12-1.87) for incident diabetes associated with depressive symptoms. CONCLUSION: Our observations revealed greater cumulative incidence of diabetes in depressed than in non depressed groups. Depression should be included among risk factors that required regular screening for diabetes.
Authors: Raphael S Peter; Andrea Jaensch; Ute Mons; Ben Schöttker; Roman Schmucker; Wolfgang Koenig; Hermann Brenner; Dietrich Rothenbacher Journal: Cardiovasc Diabetol Date: 2021-05-13 Impact factor: 9.951