Evidence map›Paper›PMID 35843947›Full record

ArticleBMC pulmonary medicine2022

Determinants of depressive symptom trajectories in self-reported chronic obstructive pulmonary disease patients.

Cui Wang, Hongbo Chen, Peiyuan Liu, Ziqiu Zou, Shaomei Shang

Abstract read
In one paragraph

Article in BMC pulmonary medicine, 2022. 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
–field-weighted citation impact
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

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

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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

5 authors.

Cui WangPeking University School of Nursing, 38 Xueyuan Road, Haidian District, Beijing, China.
Hongbo ChenPeking University School of Public Health, Beijing, China.
Peiyuan LiuPeking University School of Nursing, 38 Xueyuan Road, Haidian District, Beijing, China.
Ziqiu ZouPeking University School of Nursing, 38 Xueyuan Road, Haidian District, Beijing, China.
Shaomei ShangPeking University School of Nursing, 38 Xueyuan Road, Haidian District, Beijing, China. shangshaomei@126.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe depressive symptom trajectories of COPD individuals and its' predictors remain to be established. Therefore, this study aimed to explore the trajectories of depressive symptoms and predictors thereof in COPD patients.

methodsA total of 1286 individuals over 45 years of age with self-reported COPD were assessed. Depressive symptoms were evaluated using the Center for Epidemiological Studies Depression Scale short form, with depressive symptom trajectories being identified via latent class growth analysis. The predictors of depressive symptom trajectories were then identified through multinomial logistic regression.

resultsFinally, three depressive symptom trajectories were identified: "steadily high", "consistently moderate", and "consistently low". Old age, longer night-time sleep duration, and high BMI were found to be associated with individuals being classified under the "consistently moderate" trajectory. Moreover, participants exhibiting more than two chronic conditions were more likely to be classified under the "consistently moderate" trajectory. Higher education and lower hand grip strength were important predictors of individuals classified in the "steadily high" trajectory.

conclusionsTo conclude, three depressive symptom trajectories were identified in self-reported COPD individuals. To ensure timely intervention aimed at preventing the worsening of depressive symptom progression among COPD individuals, health-care workers should regular analyze depressive symptoms and provide appropriate interventions when possible.

Indexed as

DepressionPulmonary Disease, Chronic ObstructiveHand StrengthHumansLogistic ModelsLongitudinal StudiesSelf ReportCOPDDepressive symptomsLatent class growth modelingTrajectory pattern

Identifiers

PMID35843947
PMCPMC9288686

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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.