Evidence map›Paper›PMID 34627855›Full record

ArticleJournal of affective disorders2022

Curiosity helps: Growth in need for cognition bidirectionally predicts future reduction in anxiety and depression symptoms across 10 years.

Nur Hani Zainal, Michelle G Newman

Erratum issuedAbstract read
In one paragraph

Article in Journal of affective disorders, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Nur Hani ZainalHarvard Medical School - Massachusetts General Hospital, The Pennsylvania State University, National University of Singapore. Electronic address: nvz5057@psu.edu.
Michelle G NewmanThe Pennsylvania State University.

Funding

Harnessing Mobile Technology to Reduce Mental Health Disorders in College PopulationsR01MH115128 · NIMH · WASHINGTON UNIVERSITY · PI EISENBERG, DANIEL, NEWMAN, MICHELLE G · 2018 to 2022
$4.1M
NIMH NIH HHS R01 MH115128
6 · The paper itself

Abstract

introductionDecreased motivational tendency to seek out, engage in, and enjoy investing in complex cognitive processes in a sustained manner (need for cognition; NFC) may be a predictor and consequence of heightened anxiety and depression symptoms (ADS). However, the majority of investigations on this topic have been cross-sectional, which hinders causal inferences.

methodsThe current study thus determined the within-person relations between NFC and ADS by using random intercept cross-lagged panel model (RI-CLPM) and bivariate dual latent change score (BLCS) approaches to separate between- and within-person effects. RI-CLPM and BLCS also present with advantages of adjusting for regression to the mean, baseline scores, autoregressive and lagged effects, and minimizing measurement error. Community-dwelling adults (n = 6750) completed the Mental Health Inventory-5 and trait-level NFC scales approximately every one year across 10 years.

resultsRI-CLPM showed that within persons, lower level of NFC predicted higher future level of ADS, and vice versa (d = -0.852 to -0.498). Likewise, BLCS demonstrated that within persons, smaller change in NFC forecasted larger subsequent increase in ADS, and conversely (d = -0.631 to -0.519). Findings remained after adjusting for socio-demographic covariates.

conclusionConsistent with theories, findings suggested that the within-person level-to-future level and change-to-future change relations among NFC and ADS were bi-directional and negative, with moderate-to-large effect sizes. Targeting NFC may treat or prevent the emergence of depression and anxiety disorders. Such efforts may include augmenting or personalizing evidence-based cognitive-behavioral therapeutic strategies for individuals with or at-risk for heightened ADS.

Indexed as

DepressionExploratory BehaviorAdultAnxietyAnxiety DisordersCognitionCross-Sectional StudiesHumansAnxietyDepressionLatent changeNeed for cognitionRandom-intercept cross-lagged panel model

Identifiers

PMID34627855
PMCPMC8759714

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Registered trials

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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.