Deanna P Jannat-Khah1, Yulia Khodneva2, Kelsey Bryant3, Siqin Ye4, Joshua Richman2, Ravi Shah5, Monika Safford6, Nathalie Moise7. 1. Department of Medicine, Weill Cornell Medicine, New York, NY; Division of Rheumatology, Hospital for Special Surgery, New York, NY; Division of General Internal Medicine, Weill Cornell Medicine, New York, NY. 2. Division of Preventative Medicine, Department of Medicine, University of Alabama Birmingham, Birmingham, AL. 3. Columbia University Medical Center, New York, NY. 4. Columbia University Medical Center, Center for Behavioral Cardiovascular Health, New York, NY. 5. Columbia University Medical Center, Psychiatry Faculty Practice Organization, New York, NY. 6. Department of Medicine, Weill Cornell Medicine, New York, NY; Division of General Internal Medicine, Weill Cornell Medicine, New York, NY. 7. Columbia University Medical Center, New York, NY; Columbia University Medical Center, Center for Behavioral Cardiovascular Health, New York, NY. Electronic address: nm2562@cumc.columbia.edu.
Abstract
PURPOSE: Depressive symptoms relapse and remit over time, perhaps differentially by race and income. Few studies have examined whether time-varying depressive symptoms (TVDS) differentially predict mortality. We sought to determine whether race (white/black) and income (</≥$35,000) moderate the association between TVDS and mortality in a large cohort. METHODS: The REGARDS study is a prospective cohort study among community-dwelling U.S. adults aged 45 years or older. Cox proportional hazard models were constructed to separately analyze the association between mortality (all cause, cardiovascular death, noncardiovascular death, and cancer death) and TVDS in race and income stratified models. RESULTS: Point estimates were similar and statistically significant for white (aHR = 1.24 [95% CI: 1.10, 1.41]), black (aHR = 1.26 [95% CI: 1.11, 1.42]), and low-income participants (aHR = 1.28 [95% CI: 1.16, 1.43]) for the association between TVDS and mortality. High-income participants had a lower hazard (aHR = 1.19 [95% CI: 1.02, 1.38]). Baseline depressive symptoms predicted mortality in blacks only (aHR = 1.17, 95% CI: [1.00, 1.35]). CONCLUSIONS: We found that TVDS significantly increased the immediate hazard of mortality similarly across race and income strata. TVDS may provide more robust evaluations of depression impact compared with the baseline measures, making apparent racial disparities cited in the extant literature a reflection of the imperfection of using baseline measures.
PURPOSE:Depressive symptoms relapse and remit over time, perhaps differentially by race and income. Few studies have examined whether time-varying depressive symptoms (TVDS) differentially predict mortality. We sought to determine whether race (white/black) and income (</≥$35,000) moderate the association between TVDS and mortality in a large cohort. METHODS: The REGARDS study is a prospective cohort study among community-dwelling U.S. adults aged 45 years or older. Cox proportional hazard models were constructed to separately analyze the association between mortality (all cause, cardiovascular death, noncardiovascular death, and cancer death) and TVDS in race and income stratified models. RESULTS: Point estimates were similar and statistically significant for white (aHR = 1.24 [95% CI: 1.10, 1.41]), black (aHR = 1.26 [95% CI: 1.11, 1.42]), and low-income participants (aHR = 1.28 [95% CI: 1.16, 1.43]) for the association between TVDS and mortality. High-income participants had a lower hazard (aHR = 1.19 [95% CI: 1.02, 1.38]). Baseline depressive symptoms predicted mortality in blacks only (aHR = 1.17, 95% CI: [1.00, 1.35]). CONCLUSIONS: We found that TVDS significantly increased the immediate hazard of mortality similarly across race and income strata. TVDS may provide more robust evaluations of depression impact compared with the baseline measures, making apparent racial disparities cited in the extant literature a reflection of the imperfection of using baseline measures.
Authors: Tam K Dao; Danny Chu; Justin Springer; Raja R Gopaldas; Deleene S Menefee; Thomas Anderson; Emily Hiatt; Quang Nguyen Journal: J Thorac Cardiovasc Surg Date: 2010-01-13 Impact factor: 5.209
Authors: Roxanne Schaakxs; Hannie C Comijs; Roos C van der Mast; Robert A Schoevers; Aartjan T F Beekman; Brenda W J H Penninx Journal: Am J Geriatr Psychiatry Date: 2017-04-07 Impact factor: 4.105
Authors: Henneke Versteeg; Madelein T Hoogwegt; Tina B Hansen; Susanne S Pedersen; Ann-Dorthe Zwisler; Lau C Thygesen Journal: J Psychosom Res Date: 2013-10-17 Impact factor: 3.006
Authors: Charlotte Brown; Joyce T Bromberger; Laura L Schott; Sybil Crawford; Karen A Matthews Journal: Arch Womens Ment Health Date: 2014-07-05 Impact factor: 3.633