Evidence map›Paper›PMID 30782350›Full record

ArticleJournal of psychosomatic research2019

Symptoms of anxiety and depression and use of anxiolytic-hypnotics and antidepressants in current and former smokers with and without COPD - A cross sectional analysis of the COPDGene cohort.

Anand S Iyer, Kristen E Holm, Surya P Bhatt, Victor Kim, Gregory L Kinney, Frederick S Wamboldt, Michael R Jacobs, Elizabeth A Regan, Hilary F Armstrong, Katherine E Lowe and 9 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of psychosomatic research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 2 pooled it
3.3field-weighted citation impact, top 7% 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

19 citing papers in PubMed, 2 syntheses or guidelines pooled it, 34 citations in OpenAlex.

  1. Pooled it
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  11. Comparative Impact of Depressive Symptoms and FEVAnnals of the American Thoracic Society · 2022
    Article
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  18. Observational
  19. Association of Systemic Inflammation with Depressive Symptoms in Individuals with COPD.International journal of chronic obstructive pulmonary disease
    Article
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

19 authors at 12 institutions in 1 country.

Anand S IyerDivision of Pulmonary, Allergy, and Critical Care Medicine, Department of Medicine, University of Alabama at Birmingham, Birmingham, AL, USA; Lung Health Center, University of Alabama at Birmingham, Birmingham, AL, USA; Health Services, Outcomes, and Effectiveness Research Training Program, University of Alabama at Birmingham, Birmingham, AL, USA. Electronic address: aiyer@uabmc.edu.
Kristen E HolmDepartment of Medicine, National Jewish Health, Denver, CO, USA; Department of Community and Behavioral Health, Colorado School of Public Health, Aurora, CO, USA.
Surya P BhattDivision of Pulmonary, Allergy, and Critical Care Medicine, Department of Medicine, University of Alabama at Birmingham, Birmingham, AL, USA; Lung Health Center, University of Alabama at Birmingham, Birmingham, AL, USA.
Victor KimDepartment of Thoracic Medicine and Surgery, Temple University School of Medicine Philadelphia, PA, USA.
Gregory L KinneyDepartment of Epidemiology, Colorado School of Public Health, University of Colorado, Aurora, CO, USA.
Frederick S WamboldtDepartment of Medicine, National Jewish Health, Denver, CO, USA; Department of Psychiatry, University of Colorado School of Medicine at the Anschutz Medical Campus, Aurora, CO, USA.
Michael R JacobsDepartment of Thoracic Medicine and Surgery, Temple University School of Medicine Philadelphia, PA, USA.
Elizabeth A ReganDepartment of Medicine, National Jewish Health, Denver, CO, USA; Department of Epidemiology, Colorado School of Public Health, University of Colorado, Aurora, CO, USA.
Hilary F ArmstrongDepartment of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, USA.
Katherine E LoweDepartment of Epidemiology, Colorado School of Public Health, University of Colorado, Aurora, CO, USA.
Carlos H MartinezDivision of Pulmonary and Critical Care Medicine, University of Michigan, Ann Arbor, MI, USA.
Mark T DransfieldDivision of Pulmonary, Allergy, and Critical Care Medicine, Department of Medicine, University of Alabama at Birmingham, Birmingham, AL, USA; Lung Health Center, University of Alabama at Birmingham, Birmingham, AL, USA; Veterans Affairs Medical Center, Birmingham, AL, USA.
Marilyn G ForemanDivision of Pulmonary and Critical Care Medicine, Morehouse School of Medicine, Atlanta, GA, USA.
Gen ShinozakiDepartment of Psychiatry, Carver College of Medicine, University of Iowa, Iowa City, IA, USA; Iowa Neuroscience Institute, Carver College of Medicine, University of Iowa, Iowa City, IA, USA.
Nicola A HananiaDivision of Pulmonary/Critical Care Medicine, Baylor College of Medicine, Houston, TX, USA.
Robert A WiseDivision of Pulmonary and Critical Care Medicine, Johns Hopkins School of Medicine, Baltimore, MD, USA.
Barry J MakeDepartment of Medicine, National Jewish Health, Denver, CO, USA.
Karin F HothDepartment of Psychiatry, Carver College of Medicine, University of Iowa, Iowa City, IA, USA; Iowa Neuroscience Institute, Carver College of Medicine, University of Iowa, Iowa City, IA, USA; Department of Pulmonary, Critical Care, and Sleep Medicine, Carver College of Medicine, University of Iowa, Iowa City, IA, USA. Electronic address: karin-hoth@uiowa.edu.
COPDGene Investigators
University of Alabama at Birmingham · USColorado School of Public Health · USTemple University · USUniversity of Colorado Anschutz Medical Campus · USUniversity of Iowa · USBaylor College of Medicine · USColumbia University · USJohns Hopkins University · USMorehouse School of Medicine · USNational Jewish Health · USUniversity of Colorado Denver · USUniversity of Michigan–Ann Arbor · US

Funding

Genetic Epidemiology of COPDU01HL089897 · NHLBI · NATIONAL JEWISH HEALTH · PI CRAPO, JAMES D · 2007 to 2021
$56.9M
Genetic Epidemiology of COPDU01HL089856 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI SILVERMAN, EDWIN K · 2007 to 2021
$20.7M
UAB K12 in Patient Centered Outcomes ResearchK12HS023009 · AHRQ · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI SAAG, KENNETH G · 2014 to 2018
$4.0M
Parametric Response Mapping in COPDR01HL122438 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI HAN, MEILAN K, MARTINEZ, FERNANDO J · 2014 to 2017
$4.0M
Diastolic Dysfunction and Pauci-inflammatory Acute Exacerbations of Chronic Obstructive Pulmonary DiseaseK23HL133438 · NHLBI · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI BHATT, SURYA P. · 2016 to 2020
$921k
Cardiopulmonary Mechanisms Affecting Cognition in COPDK23HL095658 · NHLBI · UNIVERSITY OF IOWA · PI HOTH, KARIN F · 2010 to 2014
$747k
UAB Mentoring Program in COPD Patient Oriented ResearchK24HL140108 · NHLBI · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI DRANSFIELD, MARK T · 2018 to 2022
$439k
Personalizing COPD therapies by exploring heterogeneity of treatment effectsK23HL128936 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI MARTINEZ, CARLOS H · 2016 to 2017
$249k
AHRQ HHS K12 HS023009AHRQ HHS T32 HS013852NHLBI NIH HHS K23 HL095658NHLBI NIH HHS K23 HL128936NHLBI NIH HHS K23 HL133438NHLBI NIH HHS K24 HL140108NHLBI NIH HHS R01 HL122438NHLBI NIH HHS U01 HL089856NHLBI NIH HHS U01 HL089897
6 · The paper itself

Abstract

objectivesTo compare the frequency of anxiety/depressive symptoms and use of anxiolytic-hypnotics/antidepressants in smokers with and without COPD and to identify characteristics associated with having unmedicated symptoms.

methodsCross-sectional analysis of ambulatory, current/former smokers ≥10 pack years enrolled in the COPDGene study. We measured anxiety/depressive symptoms using the Hospital Anxiety and Depression Scale (subscales ≥8), recorded anxiolytic-hypnotic/antidepressant use, and defined unmedicated symptoms as elevated anxiety/depressive symptoms and not on medications. Regression analysis identified characteristics associated with having unmedicated symptoms. KEY

resultsOf 5331 current/former smokers (45% with and 55% without COPD), 1332 (25.0%) had anxiety/depressive symptoms. Anxiety symptoms were similar in frequency in smokers with and without COPD (19.7% overall), while depressive symptoms were most frequent in severe-very severe COPD at 20.7% (13.1% overall). In the entire cohort, 1135 (21.2%) were on medications. Anxiolytic-hypnotic use was highest in severe-very severe COPD (range 7.6%-12.0%), while antidepressant use showed no significant variation in smokers with and without COPD (range 14.7%-17.1%). Overall, 881 (66% of those with symptoms) had unmedicated symptoms, which was associated with African American race (adjusted OR 2.95, 95% CI 2.25-3.87), male gender (adjusted OR 1.93, 95% CI 1.57-2.36), no health insurance (adjusted OR 2.38, 95% CI 1.30-4.35), severe-very severe COPD (adjusted OR 1.48, 95% CI 1.04-2.11), and higher respiratory symptoms/exacerbation history (adjusted OR 2.21, 95% CI 1.62-3.02).

conclusionsSignificant unmet mental health care needs exist in current and former smokers with and without COPD. One in five have unmedicated symptoms, identified by key demographic and clinical characteristics. PRIMARY FUNDING SOURCE: National Institutes of Health and The COPD Foundation.

Indexed as

AgedAnti-Anxiety AgentsAntidepressive AgentsAnxietyCohort StudiesCross-Sectional StudiesDepressionFemaleHumansHypnotics and SedativesMalePulmonary Disease, Chronic ObstructiveRisk FactorsSmokersAnti-Anxiety AgentsAntidepressive AgentsHypnotics and SedativesAccess to careAntianxiety agentsAntidepressive agentsAnxietyChronic obstructive pulmonary diseaseClinical epidemiologyDepressionMental healthPopulation healthPulmonary diseasesSmoking

Identifiers

PMID30782350
PMCPMC6383809
OpenAlexW2911068828

What OpenQuestion holds

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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.