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

Imagem de Miniatura
Arquivos
art_BERTOLA_Longitudinal_measurement_invariance_of_neuropsychological_tests_in_a_2021.PDF (239.9 KB)
Citações na Scopus
9
Tipo de produção
article
Data de publicação
2021
DOI
SciELO
Scopus
Web of Science
PubMed
Título da Revista
ISSN da Revista
Título do Volume
Editora
ASSOC BRASILEIRA PSIQUIATRIA
Autores
GROSS, Alden L.
CARAMELLI, Paulo
BARRETO, Sandhi Maria
MORENO, Arlinda B.
GRIEP, Rosane H.
VIANA, Maria Carmen
Citação
BRAZILIAN JOURNAL OF PSYCHIATRY, v.43, n.3, p.254-261, 2021
Projetos de Pesquisa
Unidades Organizacionais
Fascículo
Resumo
Objective: Longitudinal 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. Methods: A 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). Results: Configural, metric, scalar and strict invariance were tested and supported over time. Conclusion: Cognitive 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.
Palavras-chave
Parallel tests, longitudinal change, cognition, low and middle income countries, memory, executive function
URI
https://observatorio.fm.usp.br/handle/OPI/41299
Referências
  1. Albano AD, 2016, J STAT SOFTW, V74, P1, DOI 10.18637/jss.v074.i08
  2. Alzheimer's Disease International, 2015, WORLD ALZHEIMER REPO
  3. Aquino EML, 2012, AM J EPIDEMIOL, V175, P315, DOI 10.1093/aje/kwr294
  4. ATKINSON RC, 1971, SCI AM, V225, P82, DOI 10.1038/scientificamerican0871-82
  5. Barnes LL, 2016, J INT NEUROPSYCH SOC, V22, P66, DOI 10.1017/S1355617715001113
  6. Bertola L, 2020, NEUROPSYCHOLOGY, V34, P227, DOI 10.1037/neu0000597
  7. Bertolucci PHF, 2001, ARQ NEURO-PSIQUIAT, V59, P532, DOI 10.1590/S0004-282X2001000400009
  8. Blankson AN, 2015, J GERONTOL B-PSYCHOL, V70, P386, DOI 10.1093/geronb/gbt106
  9. Brown T.A., 2006, CONFIRMATORY FACTOR
  10. Chen FF, 2007, STRUCT EQU MODELING, V14, P464, DOI 10.1080/10705510701301834
  11. Passos VMD, 2014, SAO PAULO MED J, V132, P170, DOI 10.1590/1516-3180.2014.1323646
  12. Fichman Helenice Charchat, 2009, Dement. neuropsychol., V3, P49, DOI 10.1590/S1980-57642009DN30100010
  13. Gonzalez J, 2017, APPL TEST EQUATING M
  14. Gross AL, 2012, J CLIN EXP NEUROPSYC, V34, P758, DOI 10.1080/13803395.2012.681628
  15. Hamdan Amer C., 2009, Psychol. Neurosci., V2, P199, DOI 10.3922/j.psns.2009.2.012
  16. Hartshorne JK, 2015, PSYCHOL SCI, V26, P433, DOI 10.1177/0956797614567339
  17. Hayden KM, 2011, ALZ DIS ASSOC DIS, V25, P128, DOI 10.1097/WAD.0b013e3181ffa76d
  18. Hofer SM, 2006, HDB PSYCHOL AGING, V6th, P15
  19. Kolen MJ, 2014, TEST EQUATING SCALIN, V3th
  20. Livingston G, 2017, LANCET, V390, P2673, DOI 10.1016/S0140-6736(17)31363-6
  21. Machado Thais Helena, 2009, Dement. neuropsychol., V3, P55, DOI 10.1590/S1980-57642009DN30100011
  22. Moreira PS, 2018, PLOS ONE, V13, DOI 10.1371/journal.pone.0204012
  23. MORRIS JC, 1989, NEUROLOGY, V39, P1159, DOI 10.1212/wnl.43.12.2457
  24. Mukadam N, 2019, LANCET GLOB HEALTH, V7, pE596, DOI 10.1016/S2214-109X(19)30074-9
  25. Muthen LK, 1998, MPLUS USERS GUIDE, V7th
  26. Pettigrew C, 2014, PSYCHOL AGING, V29, P187, DOI 10.1037/a0036085
  27. Salthouse T. A., 2010, MAJOR ISSUES COGNITI
  28. Salthouse TA, 2014, J EXP PSYCHOL GEN, V143, P1026, DOI 10.1037/a0034847
  29. Salthouse TA, 2012, J INT NEUROPSYCH SOC, V18, P749, DOI 10.1017/S1355617712000380
  30. Salthouse TA, 2009, NEUROBIOL AGING, V30, P507, DOI 10.1016/j.neurobiolaging.2008.09.023
  31. Schmidt MI, 2015, INT J EPIDEMIOL, V44, P68, DOI 10.1093/ije/dyu027
  32. StataCorp, 2013, STATA STAT SOFTW REL
  33. Suemoto CK, 2017, PLOS MED, V14, DOI 10.1371/journal.pmed.1002267
  34. Suemoto CK, 2017, J GERONTOL A-BIOL, V72, P410, DOI 10.1093/gerona/glw166
  35. Weuve J, 2015, ALZHEIMERS DEMENT, V11, P1098, DOI 10.1016/j.jalz.2015.06.1885
  36. Widaman KF, 2010, CHILD DEV PERSPECT, V4, P10, DOI 10.1111/j.1750-8606.2009.00110.x
  37. Yaffe K, 2009, NEUROLOGY, V72, P2029, DOI 10.1212/WNL.0b013e3181a92c36
  38. Zahodne LB, 2015, J NEUROL, V262, P2484, DOI 10.1007/s00415-015-7871-8

Coleções
Artigos e Materiais de Revistas Científicas - FM/MCM
Artigos e Materiais de Revistas Científicas - LIM/20
Artigos e Materiais de Revistas Científicas - LIM/66