Evidence map›Paper›PMID 40086909›Full record

ArticleInternational psychogeriatrics2025

Dynamic influence of mood on subjective cognitive complaints in mild cognitive impairment: A time series network analysis approach.

Varsha D Badal, Laura M Campbell, Colin A Depp, Emma M Parrish, Robert A Ackerman, Raeanne C Moore, Philip D Harvey, Amy E Pinkham

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PubMed Full text at PMC Publisher
In one paragraph

Article in International psychogeriatrics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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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

8 authors.

Varsha D BadalDepartment of Psychiatry, University of California San Diego, San Diego, CA, USA; Sam and Rose Stein Institute for Research on Aging, University of California San Diego, San Diego, CA, USA.
Laura M CampbellDepartment of Psychiatry, University of California San Diego, San Diego, CA, USA.
Colin A DeppDepartment of Psychiatry, University of California San Diego, San Diego, CA, USA; Sam and Rose Stein Institute for Research on Aging, University of California San Diego, San Diego, CA, USA; VA San Diego Healthcare System, La Jolla, California. Electronic address: cdepp@ucsd.edu.
Emma M ParrishSan Diego State University/University of California San Diego Joint Doctoral Program in Clinical Psychology, San Diego, CA, USA.
Robert A AckermanSchool of Behavioral and Brain Sciences, The University of Texas at Dallas, Richardson, TX, USA.
Raeanne C MooreDepartment of Psychiatry, University of California San Diego, San Diego, CA, USA.
Philip D HarveyDepartment of Psychiatry and Behavioral Sciences, University of Miami Miller School of Medicine, Miami, FL, USA; Research Service, Miami VA Healthcare System, USA.
Amy E PinkhamSchool of Behavioral and Brain Sciences, The University of Texas at Dallas, Richardson, TX, USA; Department of Psychiatry, University of Texas Southwestern Medical School, Dallas, TX, USA.

Funding

FELLOWSHIP IN GERIATRIC MENTAL HEALTHT32MH019934 · NIMH · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Elizabeth W Twamley · 1994 to 2026
$9.5M
Fellowship on Biological Psychiatry and NeuroscienceT32MH018399 · NIMH · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Pei-an (Betty) Shih · 1986 to 2026
$7.3M
Introspective Accuracy, Bias, and Everyday Functioning in Severe Mental IllnessR01MH112620 · NIMH · UNIVERSITY OF TEXAS DALLAS · PI PINKHAM, AMY · 2018 to 2021
$3.2M
Social Cognition and Suicide in Psychotic DisordersR01MH116902 · NIMH · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI DEPP, COLIN A. · 2019 to 2022
$3.2M
NIMH NIH HHS R01 MH112620NIMH NIH HHS R01 MH116902NIMH NIH HHS T32 MH018399NIMH NIH HHS T32 MH019934
6 · The paper itself

Abstract

objectivesSubjective cognitive complaints (SCC) are common and clinically relevant in mild cognitive impairment (MCI) but are intertwined with mood states. Using Ecological Momentary Assessment (EMA) of SCC and network analyses we sought to uncover the links between mood and SCC and how these links may vary by the presence or absence of MCI.

designWe used EMA to collect intensive longitudinal data. In addition to analyzing the data at an aggregate level to estimate between-person associations of affect and SCC variables, we used time series analyses to estimate contemporaneous and time-lagged relations between the variables.

settingEMA survey and mobile cognitive testing in subjects' natural environments.

participantsThe sample included 100 participants, 48 with Normal Cognition (NC), and 52 with MCI. MEASUREMENTS: Participants completed 30-day EMA protocols in which surveys sampling SCC and moods were delivered 3 times per day.

resultsThe association between SCC (as measured by EMA) and standard in-lab measures of SCC was significant in MCI, but not in NC. Despite no average level differences in severity of SCC, there was a strong association between negative affect (as measured by EMA) with SCC in NCs compared to MCI.

conclusionsEMA maybe a useful and valid approach to measuring SCCs in MCI. Network analyses indicated that negative affect was linked with later SCCs. This finding was strong in persons with NC than in persons with MCI. The basis of the attenuated association between negative affect and SCCs in MCI deserves further study.

Indexed as

AffectCognitionCognitive DysfunctionAgedAged, 80 and overEcological Momentary AssessmentFemaleHumansLongitudinal StudiesMaleMiddle AgedNeuropsychological TestsCasual discoveryEcological momentary assessmentMild cognitive impairmentMoodNetwork analysesSubjective cognitive complaintsTime series analysis

Identifiers

PMID40086909
PMCPMC11909412

What OpenQuestion holds

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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.