Evidence map›Paper›PMID 32451197›Full record

ArticleAnnals of epidemiology2020

Depressive symptoms do not discriminate: racial and economic influences between time-varying depressive symptoms and mortality among REGARDS participants.

Deanna P Jannat-Khah, Yulia Khodneva, Kelsey Bryant, Siqin Ye, Joshua Richman, Ravi Shah, Monika Safford, Nathalie Moise

Open access · greenAbstract read
In one paragraph

Article in Annals of epidemiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.5field-weighted citation impact, top 28% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 6 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 4 institutions in 1 country.

Deanna P Jannat-KhahDepartment 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.
Yulia KhodnevaDivision of Preventative Medicine, Department of Medicine, University of Alabama Birmingham, Birmingham, AL.
Kelsey BryantColumbia University Medical Center, New York, NY.
Siqin YeColumbia University Medical Center, Center for Behavioral Cardiovascular Health, New York, NY.
Joshua RichmanDivision of Preventative Medicine, Department of Medicine, University of Alabama Birmingham, Birmingham, AL.
Ravi ShahColumbia University Medical Center, Psychiatry Faculty Practice Organization, New York, NY.
Monika SaffordDepartment of Medicine, Weill Cornell Medicine, New York, NY; Division of General Internal Medicine, Weill Cornell Medicine, New York, NY.
Nathalie MoiseColumbia University Medical Center, New York, NY; Columbia University Medical Center, Center for Behavioral Cardiovascular Health, New York, NY. Electronic address: nm2562@cumc.columbia.edu.
Columbia University Irving Medical Center · USUniversity of Alabama at Birmingham · USCornell University · USHospital for Special Surgery · US

Funding

VCID and Stroke in a Bi-racial National CohortU01NS041588 · NINDS · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI CUSHMAN, MARY, HOWARD, GEORGE · 2002 to 2022
$96.0M
REGARDS - MI StudyR01HL080477 · NHLBI · WEILL MEDICAL COLL OF CORNELL UNIV · PI LEVITAN, EMILY B, SAFFORD, MONIKA M · 2006 to 2020
$11.6M
TRANSFORM DEPCARE: A Theoretical approach to improving patient engagement and shared decision making for minorities in collaborative depression careR01HS025198 · AHRQ · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI MOISE, NATHALIE · 2017 to 2021
$1.8M
Patient health information preference and statin therapyK23HL121144 · NHLBI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI YE, SIQIN · 2014 to 2018
$784k
Building Capacity for Cardiometabolic Outcomes ResearchK24HL111154 · NHLBI · WEILL MEDICAL COLL OF CORNELL UNIV · PI SAFFORD, MONIKA M · 2012 to 2015
$556k
AHRQ HHS R01 HS025198NHLBI NIH HHS K23 HL121144NHLBI NIH HHS K24 HL111154NHLBI NIH HHS R01 HL080477NINDS NIH HHS U01 NS041588
6 · The paper itself

Abstract

purposeDepressive 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.

methodsThe 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.

resultsPoint 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]).

conclusionsWe 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.

Indexed as

AgedAged, 80 and overBlack or African AmericanBlack PeopleCardiovascular DiseasesDepressionFemaleHumansIncomeIndependent LivingMaleMiddle AgedNeoplasmsPopulation SurveillanceRisk FactorsSocial ClassCVD mortalityDepressive symptomsIncomeMortalityRaceREGARDSTime-varying

Identifiers

PMID32451197
PMCPMC7440028
OpenAlexW3022447322

What OpenQuestion holds

Textmetadata
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Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.