Evidence map›Paper›PMID 37651434›Full record

ArticlePloS one2023

Contrasting speed and accuracy approaches to measure executive functions in three low-and middle-income countries.

Charlotte Wray, Alysse J Kowalski, Feziwe Mpondo, Laura Ochaeta, Delia Belleza, Ann DiGirolamo, Rachel Waford, Linda Richter, Nanette Lee, Gaia Scerif and 3 more

Abstract read
In one paragraph

Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Review
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

13 authors.

Charlotte WrayDepartment of Psychiatry, the University of Oxford, Oxford, United Kingdom.ORCID 0000-0002-6483-8318
Alysse J KowalskiNutrition and Health Sciences Program, Laney Graduate School, Emory University, Atlanta, GA, United States of America.
Feziwe MpondoDSI-NRF Centre of Excellence in Human Development at the University of the Witwatersrand, Johannesburg, South Africa.
Laura OchaetaInstitute of Nutrition of Central America and Panama, Guatemala City, Guatemala.
Delia BellezaDepartment of Psychology, School of Arts and Sciences, University of San Carlos, Cebu, Philippines.
Ann DiGirolamoGeorgia Health Policy Center, Georgia State University, Atlanta, GA, United States of America.
Rachel WafordHubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA, United States of America.
Linda RichterDSI-NRF Centre of Excellence in Human Development at the University of the Witwatersrand, Johannesburg, South Africa.
Nanette LeeUSC-Office of Population Studies Foundation, Inc., University of San Carlos, Cebu, the Philippines.
Gaia ScerifDepartment of Experimental Psychology, the University of Oxford, Oxford, United Kingdom.
Alan SteinDepartment of Psychiatry, the University of Oxford, Oxford, United Kingdom.
Aryeh D SteinHubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA, United States of America.ORCID 0000-0003-1138-6458
COHORTS

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Executive functions (EF) can be measured by tests assessing accuracy, reaction times and by computing scores which combine these two components. Interpretation issues can arise from the use of different scoring methods across studies. Given that EF measures and their scoring methods are predominantly developed and validated in high income countries, little is known about the generalisability of such methods cross- culturally. The current paper compares two different established scoring approaches for measures of inhibition and cognitive flexibility: difference scores (which utilise reaction time only) and computed scores (combining accuracy and reaction time). We utilised data collected in adulthood from three low- and middle-income birth cohorts (Guatemala, Philippines, South Africa). Non-normal distributions were observed for both scoring methods in all three samples; however, this was more pronounced for the difference score method. Differing distribution patterns were observed across the three cohorts, which was especially evident in the Guatemala cohort, highlighting potential issues with using these methods across diverse populations. The data suggest that the computed scores may be a reliable measure of EF. However, the different ways of scoring and interpreting EF instruments need to be considered carefully for each population before use.

Indexed as

Developing CountriesExecutive FunctionBirth CohortGuatemalaHumansIncome

Identifiers

PMID37651434
PMCPMC10470922

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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.