Skip to main content
Erschienen in: Quality of Life Research 9/2018

10.05.2018

Cross-national health comparisons using the Rasch model: findings from the 2012 US Health and Retirement Study and the 2012 Mexican Health and Aging Study

verfasst von: Ickpyo Hong, Timothy A. Reistetter, Carlos Díaz-Venegas, Alejandra Michaels-Obregon, Rebeca Wong

Erschienen in: Quality of Life Research | Ausgabe 9/2018

Einloggen, um Zugang zu erhalten

Abstract

Purpose

Cross-national comparisons of patterns of population aging have emerged as comparable national micro-data have become available. This study creates a metric using Rasch analysis and determines the health of American and Mexican older adult populations.

Methods

Secondary data analysis using representative samples aged 50 and older from 2012 U.S. Health and Retirement Study (n = 20,554); 2012 Mexican Health and Aging Study (n = 14,448). We developed a function measurement scale using Rasch analysis of 22 daily tasks and physical function questions. We tested psychometrics of the scale including factor analysis, fit statistics, internal consistency, and item difficulty. We investigated differences in function using multiple linear regression controlling for demographics. Lastly, we conducted subgroup analyses for chronic conditions.

Results

The created common metric demonstrated a unidimensional structure with good item fit, an acceptable precision (person reliability = 0.78), and an item difficulty hierarchy. The American adults appeared less functional than adults in Mexico (β = − 0.26, p < 0.0001) and across two chronic conditions (arthritis, β = − 0.36; lung problems, β = − 0.62; all p < 0.05). However, American adults with stroke were more functional than Mexican adults (β = 0.46, p = 0.047).

Conclusions

The Rasch model indicates that Mexican adults were more functional than Americans at the population level and across two chronic conditions (arthritis and lung problems). Future studies would need to elucidate other factors affecting the function differences between the two countries.
Anhänge
Nur mit Berechtigung zugänglich
Literatur
4.
Zurück zum Zitat Shih, R. A., Jinkook, L., & Lopamudra, D. (2012). Harmonization of cross-national studies of aging to the Health and Retirement Study: Cognition. Santa Monica, CA: RAND Corporation. Shih, R. A., Jinkook, L., & Lopamudra, D. (2012). Harmonization of cross-national studies of aging to the Health and Retirement Study: Cognition. Santa Monica, CA: RAND Corporation.
7.
Zurück zum Zitat MHAS Mexican Health and Aging Study. (2012). Data files and documentation (public use): Mexican Health and Aging Study. Retrieved January 1, 2018, from https://www.MHASweb.org. MHAS Mexican Health and Aging Study. (2012). Data files and documentation (public use): Mexican Health and Aging Study. Retrieved January 1, 2018, from https://​www.​MHASweb.​org.
9.
Zurück zum Zitat Gerst-Emerson, K., Wong, R., Michaels-Obregon, A., & Palloni, A. (2015). Cross-national differences in disability among elders: Transitions in disability in Mexico and the United States. The Journals of Gerontology Series B: Psychological Sciences and Social Sciences, 70(5), 759–768. https://doi.org/10.1093/geronb/gbu185.CrossRef Gerst-Emerson, K., Wong, R., Michaels-Obregon, A., & Palloni, A. (2015). Cross-national differences in disability among elders: Transitions in disability in Mexico and the United States. The Journals of Gerontology Series B: Psychological Sciences and Social Sciences, 70(5), 759–768. https://​doi.​org/​10.​1093/​geronb/​gbu185.CrossRef
11.
Zurück zum Zitat Chan, K. S., Kasper, J. D., Brandt, J., & Pezzin, L. E. (2012). Measurement equivalence in ADL and IADL difficulty across international surveys of aging: Findings from the HRS, SHARE, and ELSA. The Journals of Gerontology Series B, Psychological Sciences and Social Sciences, 67(1), 121–132. https://doi.org/10.1093/geronb/gbr133.CrossRefPubMed Chan, K. S., Kasper, J. D., Brandt, J., & Pezzin, L. E. (2012). Measurement equivalence in ADL and IADL difficulty across international surveys of aging: Findings from the HRS, SHARE, and ELSA. The Journals of Gerontology Series B, Psychological Sciences and Social Sciences, 67(1), 121–132. https://​doi.​org/​10.​1093/​geronb/​gbr133.CrossRefPubMed
15.
Zurück zum Zitat Radloff, L. S. (1997). The CES-D scale a self-report depression scale for research in the general population. Applied Psychological Measurement, 1(3), 385–401.CrossRef Radloff, L. S. (1997). The CES-D scale a self-report depression scale for research in the general population. Applied Psychological Measurement, 1(3), 385–401.CrossRef
16.
Zurück zum Zitat SAS for windows. (2017). [Computer program]. Version 9.4. Cary, NC: SAS Institute Inc. SAS for windows. (2017). [Computer program]. Version 9.4. Cary, NC: SAS Institute Inc.
18.
Zurück zum Zitat Strout, W. F. (1990). A new item response theory modeling approach with applications to unidimensionality assessment and ability estimation. Psychometrika, 55(2), 293–325.CrossRef Strout, W. F. (1990). A new item response theory modeling approach with applications to unidimensionality assessment and ability estimation. Psychometrika, 55(2), 293–325.CrossRef
19.
Zurück zum Zitat Muthén, L. K., & Muthén, B. O. (2017). Mplus User's Guide (7th edn). Los Angeles, CA: Muthén & Muthén. Muthén, L. K., & Muthén, B. O. (2017). Mplus User's Guide (7th edn). Los Angeles, CA: Muthén & Muthén.
20.
Zurück zum Zitat Linacre, J. M. (2002). What do infit and outfit, mean-square and standardized mean? Rasch Measurement Transactions, 16(2), 878. Linacre, J. M. (2002). What do infit and outfit, mean-square and standardized mean? Rasch Measurement Transactions, 16(2), 878.
21.
Zurück zum Zitat Wright, B. D., Linacre, J. M., Gustafson, J., & Martin-Lof, P. (1994). Reasonable mean-square fit values. Rasch Measurement Transactions, 8(3), 370. Wright, B. D., Linacre, J. M., Gustafson, J., & Martin-Lof, P. (1994). Reasonable mean-square fit values. Rasch Measurement Transactions, 8(3), 370.
23.
Zurück zum Zitat Zwick, R., Thayer, D. T., & Lewis, C. (1999). An empirical Bayes approach to Mantel-Haenszel DIF analysis. Journal of Educational Measurement, 36(1), 1–28.CrossRef Zwick, R., Thayer, D. T., & Lewis, C. (1999). An empirical Bayes approach to Mantel-Haenszel DIF analysis. Journal of Educational Measurement, 36(1), 1–28.CrossRef
24.
Zurück zum Zitat Linacre, J. M. (2017). A user’s guide to WINSTEPS® 3.91.2. [Computer program]. Linacre, J. M. (2017). A user’s guide to WINSTEPS® 3.91.2. [Computer program].
25.
Zurück zum Zitat Wright, B. D., & Masters, G. N. (1982). Rating scale analysis, 1 ed. Chicago: Mesa Press, Pluribus Pr. Wright, B. D., & Masters, G. N. (1982). Rating scale analysis, 1 ed. Chicago: Mesa Press, Pluribus Pr.
26.
Zurück zum Zitat Fisher, W. P. Jr. (1992). Reliability, separation, strata statistics. Rasch Measurement Transactions, 6(3), 238. Fisher, W. P. Jr. (1992). Reliability, separation, strata statistics. Rasch Measurement Transactions, 6(3), 238.
27.
Zurück zum Zitat Wright, B. D. (1993). Logits? Rasch Measurement Transactions, 7(2), 288. Wright, B. D. (1993). Logits? Rasch Measurement Transactions, 7(2), 288.
28.
Zurück zum Zitat Durazo-Arvizu, R. A., Barquera, S., Lazo-Elizondo, M., Franco, M., & Cooper, R. S. (2008). Cardiovascular disease surveillance in Mexicans and Mexican Americans: A tale of two countries. Revista Panamericana de Salud Pública, 23(2), 119–124.CrossRefPubMed Durazo-Arvizu, R. A., Barquera, S., Lazo-Elizondo, M., Franco, M., & Cooper, R. S. (2008). Cardiovascular disease surveillance in Mexicans and Mexican Americans: A tale of two countries. Revista Panamericana de Salud Pública, 23(2), 119–124.CrossRefPubMed
29.
Metadaten
Titel
Cross-national health comparisons using the Rasch model: findings from the 2012 US Health and Retirement Study and the 2012 Mexican Health and Aging Study
verfasst von
Ickpyo Hong
Timothy A. Reistetter
Carlos Díaz-Venegas
Alejandra Michaels-Obregon
Rebeca Wong
Publikationsdatum
10.05.2018
Verlag
Springer International Publishing
Erschienen in
Quality of Life Research / Ausgabe 9/2018
Print ISSN: 0962-9343
Elektronische ISSN: 1573-2649
DOI
https://doi.org/10.1007/s11136-018-1878-4

Weitere Artikel der Ausgabe 9/2018

Quality of Life Research 9/2018 Zur Ausgabe