Evidence map›Paper›PMID 37770013›Full record

ArticleJournal of the American Medical Directors Association2023

Mechanisms of Change in Cognitive Function Domains Among Older Adults in Cognitive Deterioration and Improvement Groups: Evidence From Phenotypic Network Structure.

Zheng Zhu, Jessica L Zwerling, Xiang Qi, Yaolin Pei, Yaguang Zheng, Bei Wu

Open access · greenAbstract read
In one paragraph

Article in Journal of the American Medical Directors Association, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 43% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. Trial
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

6 authors at 3 institutions in 2 countries.

Zheng ZhuRory Meyers College of Nursing, New York University, New York, NY, USA; School of Nursing, Fudan University, Shanghai, China.
Jessica L ZwerlingDepartment of Psychiatry and Behavioral Sciences, Albert Einstein College of Medicine, Montefiore Health System, Bronx, NY, USA; Department of Neurology, Albert Einstein College of Medicine, Montefiore Health System, Bronx, NY, USA.
Xiang QiRory Meyers College of Nursing, New York University, New York, NY, USA.
Yaolin PeiRory Meyers College of Nursing, New York University, New York, NY, USA.
Yaguang ZhengRory Meyers College of Nursing, New York University, New York, NY, USA.
Bei WuRory Meyers College of Nursing, New York University, New York, NY, USA; NYU Aging Incubator, New York University, New York, NY, USA. Electronic address: bei.wu@nyu.edu.
New York University · USAlbert Einstein College of Medicine · USFudan University · CN

Funding

Rutgers-NYU Center for Asian Health Promotion and EquityP50MD017356 · NIMHD · RUTGERS BIOMEDICAL/HEALTH SCIENCES-RBHS · PI WU, BEI · 2021 to 2025
$11.6M
Research Education and Training CoreP30AG059304 · NIA · RUTGERS BIOMEDICAL/HEALTH SCIENCES-RBHS · PI CRYSTAL, STEPHEN, HU, WILLIAM TZU-LUNG · 2018 to 2022
$3.1M
NIA NIH HHS P30 AG059304NIMHD NIH HHS P50 MD017356
6 · The paper itself

Abstract

objectiveTo investigate how cognitive function domains change in phenotypic networks in cognitive deterioration and improvement groups.

designSecondary data analysis. SETTING AND

participantsRespondents in the Aging, Demographics, and Memory Study (ADAMS) who were 70 years or older at the time of the data collection in 2000 or 2002.

methodsThis study used data from the ADAMS in Wave A and Wave B. We assessed 12 cognitive function domains. Latent profile transition analysis (LPTA) and the cross-lagged panel network model were used to the dynamic interactions of the 12 cognitive function domains over time in both the deterioration and improvement groups.

resultsA total of 252 participants were included in the final analysis. LPTA identified 5 subgroups and categorized all samples into 3 main categories: improvement group (n = 61), deterioration group (n = 54), and no change group (n = 137). "D9: psychomotor processing" showed the largest value of out-strength in the deterioration group (r = 0.941) and improvement group (r = 0.969). The strongest direct positive effect in the deterioration group was "C9: psychomotor processing" -> "C8: attention" [β = 0.39 (0.00, 1.13)]. In the improvement group, the strongest direct positive effect was "C9 = psychomotor processing" -> "C7 = visual memory" [β = 0.69 (0.07, 1.30)]. CONCLUSION AND IMPLICATIONS: Psychomotor processing affected other cognitive domains, and it played a crucial role in changes of cognitive function. The paths of psychomotor processing to attention and visual memory were found to be major factors in cognitive deterioration and improvement. Targeting psychomotor processing may lead to the development of more effective and precise interventions.

Indexed as

Cognition DisordersCognitive DysfunctionAgedAgingAttentionCognitionHumansMemoryagingCognitive functionnetwork analysisolder adults

Identifiers

PMID37770013
PMCPMC12126059
OpenAlexW4387007666

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.