Swipe om te navigeren naar een ander artikel
The online version of this article (https://doi.org/10.1007/s11136-018-1878-4) contains supplementary material, which is available to authorized users.
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.
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.
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).
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.
Log in om toegang te krijgen
Met onderstaand(e) abonnement(en) heeft u direct toegang:
Minicuci, N., Naidoo, N., Chatterji, S., & Kowal, P. (2016). Data resource profile: Cross-national and cross-study sociodemographic and health-related harmonized domains from SAGE plus ELSA, HRS and SHARE (SAGE+, Wave 1). International Journal of Epidemiology, 45(5), 1403-1403j. https://doi.org/10.1093/ije/dyw181. CrossRefPubMedPubMedCentral
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.
Buz, J., & Cortés-Rodríguez, M. (2016). Measurement of the severity of disability in community-dwelling adults and older adults: Interval-level measures for accurate comparisons in large survey data sets. British Medical Journal Open, 6(9), e011842. https://doi.org/10.1136/bmjopen-2016-011842. CrossRef
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.
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
Diaz-Venegas, C., Reistetter, T. A., Wang, C. Y., & Wong, R. (2016). The progression of disability among older adults in Mexico. Disability and Rehabilitation, 38(20), 2016–2027. https://doi.org/10.3109/09638288.2015.1111435. CrossRefPubMedPubMedCentral
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
Chien, S., Campbell, N., Hayden, O., et al. (2013). RAND HRS data documentation. Version M. Retrieved January 1, 2018, from http://hrsonline.isr.umich.edu/.
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
SAS for windows. (2017). [Computer program]. Version 9.4. Cary, NC: SAS Institute Inc.
Reeve, B. B., Hays, R. D., Bjorner, J. B., et al. (2007). Psychometric evaluation and calibration of health-related quality of life item banks: Plans for the Patient-Reported Outcomes Measurement Information System (PROMIS). Medical Care, 45(5 Suppl 1), 22–31. https://doi.org/10.1097/01.mlr.0000250483.85507.04. 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
Muthén, L. K., & Muthén, B. O. (2017). Mplus User's Guide (7th edn). Los Angeles, CA: Muthén & Muthén.
Linacre, J. M. (2002). What do infit and outfit, mean-square and standardized mean? Rasch Measurement Transactions, 16(2), 878.
Wright, B. D., Linacre, J. M., Gustafson, J., & Martin-Lof, P. (1994). Reasonable mean-square fit values. Rasch Measurement Transactions, 8(3), 370.
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
Linacre, J. M. (2017). A user’s guide to WINSTEPS® 3.91.2. [Computer program].
Wright, B. D., & Masters, G. N. (1982). Rating scale analysis, 1 ed. Chicago: Mesa Press, Pluribus Pr.
Fisher, W. P. Jr. (1992). Reliability, separation, strata statistics. Rasch Measurement Transactions, 6(3), 238.
Wright, B. D. (1993). Logits? Rasch Measurement Transactions, 7(2), 288.
Payne, C. F. (2018). Aging in the Americas: Disability-free life expectancy among adults aged 65 and older in the United States, Costa Rica, Mexico, and Puerto Rico. The Journals of Gerontology Series B, Psychological Sciences and Social Sciences, 73(2), 337–348. https://doi.org/10.1093/geronb/gbv076. PubMedCrossRef
- 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
Timothy A. Reistetter
- Springer International Publishing