Evidence map›Paper›PMID 32997074›Full record

ArticleRevista brasileira de psiquiatria (Sao Paulo, Brazil : 1999)

Longitudinal measurement invariance of neuropsychological tests in a diverse sample from the ELSA-Brasil study.

Laiss Bertola, Isabela M Benseñor, Alden L Gross, Paulo Caramelli, Sandhi Maria Barreto, Arlinda B Moreno, Rosane H Griep, Maria Carmen Viana, Paulo A Lotufo, Claudia K Suemoto

Abstract read
In one paragraph

Article in Revista brasileira de psiquiatria (Sao Paulo, Brazil : 1999). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 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

10 authors.

Laiss BertolaFaculdade de Medicina, Universidade de São Paulo (USP), São Paulo, SP, Brazil.ORCID http://orcid.org/0000-0001-5771-2576
Isabela M BenseñorCentro de Pesquisa Clínica e Epidemiológica, Hospital Universitário, USP, São Paulo, SP, Brazil.
Alden L GrossDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, USA.
Paulo CaramelliDepartamento de Clínica Médica, Faculdade de Medicina, Universidade Federal de Minas Gerais (UFMG), Belo Horizonte, MG, Brazil.
Sandhi Maria BarretoHospital das Clínicas, Faculdade de Medicina, UFMG, Belo Horizonte, MG, Brazil.
Arlinda B MorenoDepartamento de Epidemiologia e Métodos Quantitativos em Saúde (DEMQS), Escola Nacional de Saúde Pública Sergio Arouca (ENSP), Fundação Oswaldo Cruz (Fiocruz), Rio de Janeiro, RJ, Brazil.
Rosane H GriepLaboratório de Educação em Ambiente e Saúde, Instituto Oswaldo Cruz, Fundação Oswaldo Cruz (Fiocruz), Rio de Janeiro, RJ, Brazil.
Maria Carmen VianaDepartamento de Medicina Social, Universidade Federal do Espírito Santo (UFES), Vitória, ES, Brazil.
Paulo A LotufoDepartamento de Medicina Interna, Faculdade de Medicina, USP, São Paulo, SP, Brazil.
Claudia K SuemotoDivisão de Geriatria, Faculdade de Medicina, USP, São Paulo, SP, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveLongitudinal measurement invariance analyses are an important way to assess a test's ability to estimate the underlying construct over time, ensuring that cognitive scores across visits represent a similar underlying construct, and that changes in test performance are attributable to individual change in cognitive abilities. We aimed to evaluate longitudinal measurement invariance in a large, social and culturally diverse sample over time.

methodsA total of 5,949 participants from the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil) were included, whose cognition was reassessed after four years. Longitudinal measurement invariance analysis was performed by comparing a nested series of multiple-group confirmatory factor analysis models (for memory and executive function factors).

resultsConfigural, metric, scalar and strict invariance were tested and supported over time.

conclusionCognitive temporal changes in this sample are more likely to be due to normal and/or pathological aging. Testing longitudinal measurement invariance is essential for diverse samples at high risk of dementia, such as in low- and middle-income countries.

Indexed as

CognitionAdultBrazilFactor Analysis, StatisticalHumansLongitudinal StudiesNeuropsychological TestsPsychometrics

Identifiers

PMID32997074
PMCPMC8136397

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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.