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Older adult psychopathology: international comparisons of self-reports, collateral reports, and cross-informant agreement

Published online by Cambridge University Press:  04 September 2020

L.A. Rescorla ,
M.Y. Ivanova ,
T.M. Achenbach ,
Vera Almeida ,
Meltem Anafarta-Sendag ,
Ieva Bite ,
J. Carlos Caldas ,
John William Capps ,
Yi-Chuen Chen  and
Paola Colombo
...Show all authors
L.A. Rescorla*
Affiliation:
Bryn Mawr College, Bryn Mawr, PA, USA
M.Y. Ivanova
Affiliation:
Department of Psychiatry, Larner College of Medicine, University of Vermont, Burlington, VT, USA
T.M. Achenbach
Affiliation:
Department of Psychiatry, Larner College of Medicine, University of Vermont, Burlington, VT, USA
Vera Almeida
Affiliation:
CESPU, Instituto de Investigação e Formação Avançada em Ciências e Tecnologias da Saúde, Gandra, Portugal UCIBIO/REQUIMTE, MedTec-Laboratório de Tecnologia Farmacêutica, Departamento de Ciências do Medicamento, Faculdade de Farmácia, Universidade do Porto, Porto, Portugal
Meltem Anafarta-Sendag
Affiliation:
Department of Psychology, Ufuk University, Ankara, Turkey
Ieva Bite
Affiliation:
Department of Psychology, University of Latvia, Riga, Latvia
J. Carlos Caldas
Affiliation:
CESPU, Instituto de Investigação e Formação Avançada em Ciências e Tecnologias da Saúde, Gandra, Portugal CINTESIS – Center for Health Technology and Services Research, Faculty of Medicine, University of Porto, Porto, Portugal
John William Capps
Affiliation:
Department of Psychology, The University of Texas at El Paso, El Paso, TX, USA
Yi-Chuen Chen
Affiliation:
Department of Psychology, National Chung Cheng University, Chiayi, Taiwan
Paola Colombo
Affiliation:
Scientific Institute IRCCS E. Medea, Child Psychopathology Unit, Bosisio Parini, Italy
Margareth da Silva Oliveira
Affiliation:
Faculty of Psychology, Pontifical Catholic University of Rio Grande do Sul, Porto Alegre, Brazil
Anca Dobrean
Affiliation:
Department of Clinical Psychology and Psychotherapy, Babes-Bolyai University, Cluj-Napoca, Romania
Nese Erol
Affiliation:
Department of Child and Adolescent Mental Health, Ankara University, School of Medicine, Ankara, Turkey
Alessandra Frigerio
Affiliation:
Scientific Institute IRCCS E. Medea, Child Psychopathology Unit, Bosisio Parini, Italy
Yasuko Funabiki
Affiliation:
Graduate School of Human and Environmental Studies, Kyoto University, Kyoto, Japan
Reda Gedutienė
Affiliation:
Department of Psychology, Klaipėda University, Klaipėda, Lithuania
Halldór S. Guðmundsson
Affiliation:
Faculty of Social Work, University of Iceland, Reykjavík, Iceland
Min Quan Heo
Affiliation:
Neuroscience and Behavioral Disorders Programme, Duke-National University of Singapore Medical School, Singapore, Singapore
Young Ah Kim
Affiliation:
Huno Inc., Seoul, Republic of Korea
Tih-Shih Lee
Affiliation:
Neuroscience and Behavioral Disorders Programme, Duke-National University of Singapore Medical School, Singapore, Singapore
Manuela Leite
Affiliation:
CESPU, Instituto de Investigação e Formação Avançada em Ciências e Tecnologias da Saúde, Gandra, Portugal
Jianghong Liu
Affiliation:
Department of Family and Community Health, University of Pennsylvania School of Nursing, Philadelphia, PA, USA
Jasminka Markovic
Affiliation:
Private Practice, Novi Sad, Serbia
Monika Misiec
Affiliation:
Department of Psychology, Academia Pedagogiki Specjalnej, University of Warsaw, Warszawa, Poland
Marcus Müller
Affiliation:
Department of Psychiatry and Psychotherapy, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
Kyung Ja Oh
Affiliation:
Department of Psychology, Yonsei University, Seoul, Republic of Korea
Verónica Portillo-Reyes
Affiliation:
Departamento de Psicología, Universidad Autónoma de Cuidad Juárez, Cuidad Juárez, Mexico
Wolfgang Retz
Affiliation:
Department of Psychiatry and Psychotherapy, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany Institute for Forensic Psychology and Psychiatry, Saarland University, Homburg/Saar, Germany
Sandra B. Sebre
Affiliation:
Department of Psychology, University of Latvia, Riga, Latvia
Shupeng Shi
Affiliation:
Department of Family and Community Health, University of Pennsylvania School of Nursing, Philadelphia, PA, USA
Sigurveig H. Sigurðardóttir
Affiliation:
Faculty of Social Work, University of Iceland, Reykjavík, Iceland
Roma Šimulionienė
Affiliation:
Department of Psychology, Klaipėda University, Klaipėda, Lithuania
Elvisa Sokoli
Affiliation:
Department of Psychology, University of Tirana, Tirana, Albania
Dragana Milijasevic
Affiliation:
Faculty of Medicine, University of Novi Sad, Institute of Public Health of Vojvodina, Novi Sad, Serbia
Ewa Zasępa
Affiliation:
Department of Psychology, Academia Pedagogiki Specjalnej, University of Warsaw, Warszawa, Poland
*
Correspondence should be addressed to: Leslie A. Rescorla, Department of Psychology, Bryn Mawr College, 101 N. Merion Ave, Bryn Mawr, PA19010, USA. Phone: +1 610 526 7318. Email: [email protected].
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Abstract

Objectives:

To conduct international comparisons of self-reports, collateral reports, and cross-informant agreement regarding older adult psychopathology.

Participants:

We compared self-ratings of problems (e.g. I cry a lot) and personal strengths (e.g. I like to help others) for 10,686 adults aged 60–102 years from 19 societies and collateral ratings for 7,065 of these adults from 12 societies.

Measurements:

Data were obtained via the Older Adult Self-Report (OASR) and the Older Adult Behavior Checklist (OABCL; Achenbach et al., 2004).

Results:

Cronbach’s alphas were .76 (OASR) and .80 (OABCL) averaged across societies. Across societies, 27 of the 30 problem items with the highest mean ratings and 28 of the 30 items with the lowest mean ratings were the same on the OASR and the OABCL. Q correlations between the means of the 0–1–2 ratings for the 113 problem items averaged across all pairs of societies yielded means of .77 (OASR) and .78 (OABCL). For the OASR and OABCL, respectively, analyses of variance (ANOVAs) yielded effect sizes (ESs) for society of 15% and 18% for Total Problems and 42% and 31% for Personal Strengths, respectively. For 5,584 cross-informant dyads in 12 societies, cross-informant correlations averaged across societies were .68 for Total Problems and .58 for Personal Strengths. Mixed-model ANOVAs yielded large effects for society on both Total Problems (ES = 17%) and Personal Strengths (ES = 36%).

Conclusions:

The OASR and OABCL are efficient, low-cost, easily administered mental health assessments that can be used internationally to screen for many problems and strengths.

Keywords

OASR/OABCLmental health assessmentmulticulturalinternational
Type
Original Research Article
Information
International Psychogeriatrics , Volume 34 , Special Issue 5: Issue Theme: Advances in Assessment of Psychopathology , May 2022 , pp. 467 - 478
Copyright
© International Psychogeriatric Association 2020

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References

Achenbach, T. M., Newhouse, P. A. and Rescorla, L. A. (2004). Manual for the ASEBA Older Adult Forms & Profiles. Burlington, VT: University of Vermont, Research Center for Children, Youth, and Families.Google Scholar
Achenbach, T. M. and Recorla, L. A. (2015). Multicultural Supplement to the Manual for the ASEBA. Adult Forms & Profiles. Burlington, VT: University of Vermont, Research Center for Children, Youth, and Families.Google Scholar
American Psychiatric Association. (2013). Diagnostic and Statistical Manual of Mental Disorders (5th ed.). Washington, DC: Author.Google Scholar
Andreas, S. et al. (2017). Prevalence of mental disorders in elderly people: the European MentDis_ICF65+ study. British Journal of Psychiatry, 210(2), 125–131.CrossRefGoogle ScholarPubMed
Brigidi, B. D., Achenbach, T. M., Dumenci, L. and Newhouse, P. A. (2010). Broad spectrum assessment of psychopathology and adaptive functioning with the Older Adult Behavior Checklist: a validation and diagnostic discrimination study. International Journal of Geriatric Psychiatry, 25(11), 1177–1185.CrossRefGoogle ScholarPubMed
Butcher, J. N. and Han, K. (1996). Methods of establishing cross-cultural equivalence. In: Butcher, J. N. (Ed.), International Adaptations of the MMPI-2: Research and Clinical Applications (pp. 44–63). Minneapolis, MN: University of Minnesota Press.Google Scholar
Cohen, J. (1988). Statistical Power Analysis for the Behavioral Sciences (2nd ed.). New York: Academic Press.Google Scholar
Dolberg, P., Sigurðardóttir, S. H. and Trummer, U. (2018). Ageism and older immigrants. In: L. Ayalon and C. Tesch-Römer (Eds.), Contemporary Perspectives on Ageism (pp 177–191). Cham: Springer.CrossRefGoogle Scholar
Geisinger, K. F. (1994). Cross-cultural normative assessment: translation and adaptation issues influencing the normative interpretation of assessment instruments. Psychological Assessment, 6, 304.CrossRefGoogle Scholar
He, W., Goodkind, D. and Kowal, P. (2016). An Aging World: 2015: International Population Reports (P95/16-1). Suitland, MD: US Census Bureau. Google Scholar
Ivanova, M. Y. et al. (2010). Preschool psychopathology reported by parents in 23 societies: testing the seven-syndrome model of the child behavior checklist for ages 1.5–5. Journal of the American Academy of Child and Adolescent Psychiatry, 49(12), 1215–1224.Google ScholarPubMed
Ivanova, M. Y. et al. (2020a). The generalizability of Older Adult Self-Report (OASR) syndromes of psychopathology across 20 societies. International Journal of Geriatric Psychiatry, 35(5), 525–536. doi: 10.1002/gps.5268.CrossRefGoogle ScholarPubMed
Ivanova, M. Y., et al. (2020b). The generalizability of empirically-derived syndromes of collateral-reported elder psychopathology across 11 societies (under review).CrossRefGoogle Scholar
Karel, M. J., Gatz, M. and Smyer, M. A. (2012). Aging and mental health in the decade ahead: what psychologists need to know. American Psychologist, 67(3), 184.CrossRefGoogle ScholarPubMed
Kirk, R. R. (1995) Experimental Design Procedures for the Behavioral Sciences. Pacific Grove, CA: Brookside, Cole.Google Scholar
Kitayama, S., Berg, M. K. and Chopik, W. J. (2020) Culture and well-being in later adulthood: theory and evidence. American Psychologist, 75, 576–576.CrossRefGoogle Scholar
Mindt, M. R. et al. (2019). Handbook on the neuropsychology of aging and dementia. In: Ravdin, L. and Katzen, H. (Eds.), Clinical Handbooks in Neuropsychology (pp. 25–48). Cham: Springer.Google Scholar
Nunnally, J. C. and Bernstein, H. (1994). Psychometric Theory (3rd ed.). New York: McGraw Hill.Google Scholar
Pike, K. L. (Ed.) (1967). Language in Relation to a Unified Theory of the Structure of Human Behavior (2nd ed.). The Hague: Mouton De Gruyter.CrossRefGoogle Scholar
Poortinga, Y. H. (1989). Equivalence of cross-cultural data: an overview of basic issues. International Journal of Psychology, 24, 737–756.CrossRefGoogle ScholarPubMed
Rescorla, L. A. et al. (2016a). Problems and adaptive functioning reported by adults in 17 societies. International Perspectives in Psychology: Research, Practice, Consultation, 5(2), 91.CrossRefGoogle Scholar
Rescorla, L. A. et al. (2016b). Collateral reports and cross-informant agreement about adult psychopathology in 14 societies. Journal of Psychopathology and Behavioral Assessment, 38(3), 381–397.CrossRefGoogle Scholar
Stephenson, W. (1936). The inverted factor technique. British Journal of Psychology, 26(4), 344.Google Scholar
Tomlinson, M. et al. (2009). Setting priorities for global mental health research. Bulletin of World Health Organization, 87, 438–446. doi: 10.2471/BLT.08.054353.CrossRefGoogle ScholarPubMed
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