Evidence map›Paper›PMID 36670342›Full record

ArticleInternational journal of behavioral medicine2023

Depressive Symptom Subgroups and Their Association with Prevalent and Incident Cardiovascular Risk Factors in the Coronary Artery Risk Development in Young Adults (CARDIA) Study.

Diana A Chirinos, Kiarri N Kershaw, Norrina B Allen, Allison J Carroll, Tené T Lewis, Pamela J Schreiner, Cora E Lewis, Catarina I Kiefe, Briana Mezuk, Mercedes R Carnethon

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In one paragraph

Article in International journal of behavioral medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.1field-weighted citation impact, top 22% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
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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

10 authors at 6 institutions in 1 country.

Diana A ChirinosDepartment of Preventive Medicine, Northwestern University Feinberg School of Medicine, 680 N Lakeshore Drive, Suite 1400, Chicago, IL, 60611, USA. diana.chirinos@northwestern.edu.
Kiarri N KershawDepartment of Preventive Medicine, Northwestern University Feinberg School of Medicine, 680 N Lakeshore Drive, Suite 1400, Chicago, IL, 60611, USA.
Norrina B AllenDepartment of Preventive Medicine, Northwestern University Feinberg School of Medicine, 680 N Lakeshore Drive, Suite 1400, Chicago, IL, 60611, USA.
Allison J CarrollDepartment of Cardiac Surgery, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
Tené T LewisDepartment of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, USA.
Pamela J SchreinerDivision of Epidemiology and Community Health, University of Minnesota, Minneapolis, MN, USA.
Cora E LewisDepartment of Epidemiology, The University of Alabama at Birmingham, Birmingham, AL, USA.
Catarina I KiefeDepartment of Population and Quantitative Health Sciences, University of Massachusetts Medical School, Worcester, MA, USA.
Briana MezukDepartment of Epidemiology, University of Michigan, Ann Arbor, MI, USA.
Mercedes R CarnethonDepartment of Preventive Medicine, Northwestern University Feinberg School of Medicine, 680 N Lakeshore Drive, Suite 1400, Chicago, IL, 60611, USA.
Northwestern University · USEmory University · USUniversity of Alabama at Birmingham · USUniversity of Massachusetts Chan Medical School · USUniversity of Michigan–Ann Arbor · USUniversity of Minnesota · US

Funding

Developing an intervention targeting sleep disturbances among minority bereaved individualsK01HL149987 · NHLBI · NORTHWESTERN UNIVERSITY AT CHICAGO · PI CHIRINOS, DIANA ANDREA · 2020 to 2024
$809k
NHLBI NIH HHS 1K01HL149987-01A1NHLBI NIH HHS HHSN268201800003I
6 · The paper itself

Abstract

backgroundWe sought to identify depressive symptom subgroups in a community sample of young adults, investigate their stability over time, and determine their association with prevalent and incident cardiovascular disease (CVD) risk factors.

methodParticipants were 3377 adults from the Coronary Artery Risk Development in Young Adults study. Using latent class and latent transition analysis, we derived subgroups based on items of the 20-item version of the Center for Epidemiologic Studies Depression Scale in 1990, and examined patterns of change over a 10-year period (1990-2000). Cox regression models were used to examine associations between subgroup membership and prevalent (2000) and incident (2000 to 2016) obesity, hypertension, and diabetes.

resultsThree baseline subgroups were identified and labeled: "No Symptoms" (63.5%), "Lack of Positive Affect" (PA, 25.6%), and "Depressed Mood" (10.9%). At 10-year follow-up, individuals in "No Symptoms" subgroup had the highest probability (0.84) of being classified within the same subgroup. Participants classified as "Lack of PA" were likely (0.46) to remain in the same subgroup or be classified as "No Symptoms." Participants in the "Depressed Mood" were most likely to transition to the "Lack of PA" subgroup (0.38). Overall, 30.5% of participants transitioned between subgroups, with 11.4% classified as "Worsening" and 19.1% as "Improving." Relative to the "No Symptoms Stable," other subgroups ("Depressed Stable," "Worsening," and "Improving") were associated with prevalent obesity and hypertension.

conclusionWe identified distinct depressive symptom subgroups that are variably stable over time, and their change patterns were differentially associated with CVD risk factor prevalence.

Indexed as

Cardiovascular DiseasesHypertensionCoronary VesselsDepressionHeart Disease Risk FactorsHumansObesityRisk FactorsYoung AdultCardiovascular diseaseCardiovascular risk factorsDepressionDiabetesHypertensionObesity

Identifiers

PMID36670342
OpenAlexW4317604415

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.