Evidence map›Paper›PMID 33638932›Full record

ArticleBrain and behavior2021

Correlates of psychological resilience and risk: Prospective associations of self-reported and relative resilience with Connor-Davidson resilience scale, heart rate variability, and mental health indices.

Sun Jae Jung, Ye Jin Jeon, Karmel W Choi, Ji Su Yang, Jeong-Ho Chae, Karestan C Koenen, Hyeon Chang Kim

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Article in Brain and behavior, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

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

13 citing papers in PubMed.

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  7. Deconstructing depression by machine learning: the POKAL-PSY study.European archives of psychiatry and clinical neuroscience · 2024
    Article
  8. A latent profile analysis of resilience and their relation to differences in sleep quality in patients with lung cancer.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2024
    Article
  9. Pre-pandemic resilience to trauma and mental health outcomes during COVID-19.Social psychiatry and psychiatric epidemiology · 2023
    Article
  10. 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

7 authors.

Sun Jae JungDepartment of Preventive Medicine, Yonsei University College of Medicine, Seoul, South Korea.ORCID 0000-0002-5194-7339
Ye Jin JeonDepartment of Public Health, Yonsei University Graduate School, Seoul, South Korea.
Karmel W ChoiDepartment of Psychiatry, Massachusetts General Hospital, Boston, MA, USA.ORCID 0000-0002-3914-2431
Ji Su YangDepartment of Public Health, Yonsei University Graduate School, Seoul, South Korea.
Jeong-Ho ChaeDepartment of Psychiatry, St. Mary's Hospital, Seoul, South Korea.
Karestan C KoenenDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Hyeon Chang KimDepartment of Preventive Medicine, Yonsei University College of Medicine, Seoul, South Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThere are several ways to determine psychological resilience. However, the correlation between each measurement is not clear. We explored associations of baseline relative "resilience" and risk with later self-reported trait resilience and other biological/mental health indices.

methodsWe utilized baseline and follow-up survey data from 500 participants aged 30-64 in the community cohort. Baseline "relative" resilience was defined by: (a) negative life events (NLEs) in the six months before baseline and (b) depressive symptoms at baseline, yielding four groups of individuals: i) "Unexposed and well," "Vulnerable (depression)," "Reactive (depression)," and "Resilient." "Trait" resilience at follow-up was self-reported using the Connor-Davidson Resilience Scale (CD-RISC). Associations between relative resilience at baseline, CD-RISC, and heart rate variability (HRV) indices at follow-up were assessed with generalized linear regression models after adjustments. Associations between baseline resilience and subsequent loneliness/depression indices were also evaluated.

resultsOverall trait resilience and its subfactors at follow-up showed strong negative associations with "Reactive" at baseline (adj-β for total CD-RISC score: -11.204 (men), -9.472 (women)). However, resilience at baseline was not associated with later HRV, which was compared with the significant positive association observed between CD-RISC and HRV at the same follow-up time point. The "Reactive" exhibited significantly increased depressive symptoms at follow-up. The overall distribution pattern of CD-RISC subfactors differed by baseline resilience status by sex.

conclusionsThe "relative" resilience based on the absence of depression despite prior adversity seems to be highly related with trait resilience at follow-up but not with HRV. The sub-factor pattern of CD-RISC was different by sex.

Indexed as

Resilience, PsychologicalFemaleHeart RateHumansMaleMental HealthProspective StudiesPsychometricsSelf ReportSurveys and QuestionnairesCD-RISCdepressionheart rate variabilitylonelinesslongitudinal studyresilience

Identifiers

PMID33638932
PMCPMC8119814

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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.