Characterizing functional alterations in instrumental activities of daily living using latent class analysis: a population-based study (NEDICES)

References

• Akaike, H. (1987). Factor analysis and AIC. Psychometrika, 52(3), 317–332.
   Web of Science ®Google Scholar
• Amaducci, L., Baldereschi, M., Amato, M. P., Lippi, A., Nencini, P., Maggi, S., & Litvak, J. (1991). The World Health Organization cross-national research program on age-associated dementias. Aging Clinical and Experimental Research, 3(1), 89–96.
   Google Scholar
• Asparouhov, T., & Muthén, B. (2012). Using Mplus TECH11 and TECH14 to test the number of latent classes. Mplus Web Notes: No 14, May 22. Retrieved from http://www.statmodel.com/examples/webnotes/webnote14.pdf. Accessed April 8, 2017.
   Google Scholar
• de Oliveira Assis, L., de Paula, J. J., Assis, M. G., de Moraes, E. N., & Malloy-Diniz, L. F. (2014). Psychometric properties of the Brazilian version of Pfeffer’s Functional Activities Questionnaire. Frontiers in Aging Neuroscience, 6, 255. doi:10.3389/fnagi.2014.00255.
   PubMed Web of Science ®Google Scholar
• Baldereschi, M., Amato, M. P., Nencini, P., Pracucci, G., Lippi, A., Amaducci, L., … Katzman, R. (1994). Cross-national interrater agreement on the clinical diagnostic criteria for dementia. WHO-PRA Age-Associated Dementia Working Group, WHO-Program for Research on Aging, Health of Elderly Program. Neurology, 44(2), 239–242. doi:10.1212/WNL.44.2.239.
   PubMed Web of Science ®Google Scholar
• Bergman, L. R., & Magnusson, D. (1997). A person-oriented approach in research on developmental psychopathology. Development and Psychopathology, 9(02), 291–319. doi:10.1017/S095457949700206X.
   PubMed Web of Science ®Google Scholar
• Bergman, L. R., von Eye, A., & Magnusson, D. (2006). Person-oriented research strategies in developmental psychopathology. In D. Cicchetti & D. J. Cohen (Eds.), Developmental psychopathology (pp. 850–888). Hoboken: John Wiley & Sons. doi:10.1002/9780470939383.ch21
   Google Scholar
• Bermejo, F., Gabriel, R., Vega, S., Morales, J. M., Rocca, W. A., & Anderson, D. W. for the Neurological Disorders in Central Spain (NEDICES) Study Group (2001). Problems and issues with door-to-door, two-phase surveys: An illustration from central Spain. Neuroepidemiology, 20(4), 225–231. doi:10.1159/000054794.
   PubMed Web of Science ®Google Scholar
• Carragher, N., Adamson, G., Bunting, B., & McCann, S. (2009). Subtypes of depression in a nationally representative sample. Journal of Affective Disorders, 113(1–2), 88–99. doi:10.1016/j.jad.2008.05.015.
   PubMed Web of Science ®Google Scholar
• Castilla-Rilo, J., López-Arrieta, J. M., Bermejo-Pareja, F., Ruiz, M., Sánchez-Sánchez, F., & Trincado, R. (2007). Instrumental activities of daily living in the screening of dementia in population studies—response to comments by Sikkes et al. International Journal of Geriatric Psychiatry, 22(9), 932–933. doi:10.1002/gps.1849.
   Web of Science ®Google Scholar
• Celeux, G., & Soromenho, G. (1996). An entropy criterion for assessing the number of clusters in a mixture model. Journal of Classification, 13(2), 195–212. doi:10.1007/BF01246098.
   Web of Science ®Google Scholar
• Centers for Disease Control and Prevention (2009). Prevalence and most common causes of disability among adults–United States, 2005. The Morbidity and Mortality Weekly Report Series, 58, 421–426.
   PubMedGoogle Scholar
• Chen, Y., Denny, K. G., Harvey, D., Farias, S. T., Mungas, D., DeCarli, C., & Beckett, L. (2017). Progression from normal cognition to mild cognitive impairment in a diverse clinic-based and community-based elderly cohort. Alzheimer's & Dementia, 13(4), 399–405. doi:10.1016/j.jalz.2016.07.151.
   PubMed Web of Science ®Google Scholar
• Contador, I., del Ser, T., Llamas, S., Villarejo, A., Benito-León, J., & Bermejo-Pareja, F. (2017). Impact of literacy and years of education on the diagnosis of dementia: A population-based study. Journal of Clinical and Experimental Neuropsychology, 39(2), 112–119. doi:10.1080/13803395.2016.1204992.
   PubMed Web of Science ®Google Scholar
• Contador, I., Bermejo-Pareja, F., del Ser, T., & Benito-León, J. (2015). Effects of education and word reading on cognitive scores in a community-based sample of Spanish elders with diverse socioeconomic status. Journal of Clinical and Experimental Neuropsychology, 37(1), 92–101. doi:10.1080/13803395.2014.989819.
   PubMed Web of Science ®Google Scholar
• Contador, I., Bermejo-Pareja, F., Fernández-Calvo, B., Boycheva, E., Tapias, E., Llamas, S., & Benito-León, J. (2016). The 37-item version of the Mini-Mental State Examination: Normative data in a population-based cohort of older Spanish adults (NEDICES). Archives of Clinical Neuropsychology, 31(3), 263–272. doi:10.1093/arclin/acw003.
   PubMed Web of Science ®Google Scholar
• Cruz-Orduña, I., Bellón, J. M., Torrero, P., Aparicio, E., Sanz, A., Mula, N., … Olazarán, J. (2012). Detecting MCI and dementia in primary care: Effectiveness of the MMS, the FAQ and the IQCODE [corrected]. Family Practice, 29(4), 401–406. doi:10.1093/fampra/cmr114.
   PubMedGoogle Scholar
• Devanand, D. P., Liu, X., & Brown, P. J. (2017). Impact of functional deficits in instrumental activities of daily living in mild cognitive impairment: A clinical algorithm to predict progression to dementia. Alzheimer Disease & Associated Disorders, 31(1), 55–61. doi:10.1097/WAD.0000000000000160.
   PubMed Web of Science ®Google Scholar
• Dutra, M. C., Ribeiro, R. D., Pinheiro, S. B., de Melo, G. F., de Azevedo Carvalho , G. (2015). Accuracy and reliability of the Pfeffer Questionnaire for the Brazilian elderly population. Dementia & Neuropsychologia, 9(2), 176–183. doi:10.1590/1980-57642015DN92000012.
   PubMedGoogle Scholar
• Farias, S. T., Lau, K., Harvey, D., Denny, K. G., Barba, C., & Mefford, A. N. (2017). Early functional limitations in cognitively normal older adults predict diagnostic conversion to mild cognitive impairment. Journal of the American Geriatrics Society, 65(6), 1152–1158. doi:10.1111/jgs.14835.
   PubMed Web of Science ®Google Scholar
• Fauth, E. B., Schwartz, S., Tschanz, J. T., Østbye, T., Corcoran, C., & Norton, M. C. (2013). Baseline disability in activities of daily living predicts dementia risk even after controlling for baseline global cognitive ability and depressive symptoms: ADL disability predicts dementia risk. International Journal of Geriatric Psychiatry, 28(6), 597–606. doi:10.1002/gps.3865.
   PubMed Web of Science ®Google Scholar
• Ferketich, S. (1991). Focus on psychometrics. Aspects of item analysis. Research in Nursing & Health, 14(2), 165–168. doi:10.1002/nur.477014021Z.
   PubMed Web of Science ®Google Scholar
• Geiser, C. (2013). Data analysis with Mplus. New York: Guilford Press.
   Google Scholar
• Groeneweg-Koolhoven, I., Huitema, L. J., de Waal, M. W. M., Stek, M. L., Gussekloo, J., Van der Mast, R. C., & Rhebergen, D. (2016). Latent class analysis of the Apathy Scale does not identify subtypes of apathy in general population-based older persons. International Journal of Geriatric Psychiatry, 31(9), 1021–1028. doi:10.1002/gps.4413.
   PubMed Web of Science ®Google Scholar
• Hagenaars, J. A., & McCutcheon, A. L. (2002). Applied latent class analysis. Cambridge: Cambridge University Press.
   Google Scholar
• Juva, K., MäKelä, M., Erkinjuntti, T., Sulkava, R., Yukoski, R., Valvanne, J., & Tilvis, R. (1997). Functional assessment scales in detecting dementia. Age and Ageing, 26(5), 393–400. doi:10.1093/ageing/26.5.393.
   PubMed Web of Science ®Google Scholar
• Kim, K. R., Lee, K. S., Cheong, H. K., Eom, J. S., Oh, B. H., & Hong, C. H. (2009). Characteristic profiles of instrumental activities of daily living in different subtypes of mild cognitive impairment. Dementia and Geriatric Cognitive Disorders, 27(3), 278–285. doi:10.1159/000204765.
   PubMed Web of Science ®Google Scholar
• Lanza, S. T., Collins, L. M., Lemmon, D. R., & Schafer, J. L. (2007). PROC LCA: A SAS procedure for latent class analysis. Structural Equation Modeling: A Multidisciplinary Journal, 14(4), 671–694. doi:10.1080/10705510701575602.
   PubMed Web of Science ®Google Scholar
• Lau, K. M., Parikh, M., Harvey, D. J., Huang, C. J., & Farias, S. T. (2015). Early cognitively based functional limitations predict loss of independence in instrumental activities of daily living in older adults. Journal of the International Neuropsychological Society, 21(09), 688–698. doi:10.1017/S1355617715000818.
   PubMedGoogle Scholar
• McAlister, C., Schmitter-Edgecombe, M., & Lamb, R. (2016). Examination of variables that may affect the relationship between cognition and functional status in individuals with mild cognitive impairment: A meta-analysis. Archives of Clinical Neuropsychology, 31(2), 123–147. doi:10.1093/arclin/acv089.
   PubMed Web of Science ®Google Scholar
• McLachlan, G., & Peel, D. (2000). Finite mixture models. New York: Wiley.
   Google Scholar
• Mejía, S., Gutiérrez, L. M., Villa, A. R., & Ostrosky-Solis, F. (2004). Cognition, functional status, education, and the diagnosis of dementia and mild cognitive impairment in Spanish-speaking elderly. Applied Neuropsychology, 11(4), 194–201. doi:10.1207/s15324826an1104_4.
   Google Scholar
• Muthén, L. K., & Muthén, B. O. (1998–2012). Mplus 7.0 user's guide (with software). Los Angeles, CA: Muthén & Muthén.
   Google Scholar
• Nunnally, J. C., & Bernstein, I. H. (1994). Psychometric theory (3rd ed.). New York: McGraw-Hill.
   Google Scholar
• Nylund, K. L., Asparouhov, T., & Muthén, B. O. (2007). Deciding on the number of classes in latent class analysis and growth mixture modeling: A Monte Carlo simulation study. Structural Equation Modeling, 14(4), 535–569. doi:10.1080/10705510701575396.
   Web of Science ®Google Scholar
• Olazarán, J., Mouronte, P., & Bermejo, F. (2005). Clinical validity of two scales of instrumental activities in Alzheimer’s disease. Neurología, 20(8), 395–401.
   PubMed Web of Science ®Google Scholar
• Palacios-Ceña, D., Jiménez-García, R., Hernández-Barrera, V., Alonso-Blanco, C., Carrasco-Garrido, P., & Fernández-de-Las-Peñas, C. (2012). Has the prevalence of disability increased over the past decade (2000–2007) in elderly people? A Spanish population-based survey. Journal of the American Medical Directors Association, 13(2), 136–142. doi:10.1016/j.jamda.2010.05.007.
   PubMed Web of Science ®Google Scholar
• Pfeffer, R. I., Kurosaki, T. T., Harrah, C. H., Chance, J. M., & Filos, S. (1982). Measurement of functional activities in older adults in the community. Journal of Gerontology, 37(3), 323–329.
   PubMedGoogle Scholar
• Perneczky, R., Pohl, C., Sorg, C., Hartmann, J., Tosic, N., Grimmer, T., … Kurz, A. (2006). Impairment of activities of daily living requiring memory or complex reasoning as part of the MCI syndrome. International Journal of Geriatric Psychiatry, 21(2), 158–162. doi:10.1002/gps.1444.
   PubMed Web of Science ®Google Scholar
• Quiroga, P., Albala, C., & Klaasen, G. (2004). Validation of a screening test for age associated cognitive impairment, in Chile. Revista Médica De Chile, 132(4), 467–478.
   PubMed Web of Science ®Google Scholar
• Reppermund, S., Brodaty, H., Crawford, J., Kochan, N., Draper, B., Slavin, M., … Sachdev, P. (2013). Impairment in instrumental activities of daily living with high cognitive demand is an early marker of mild cognitive impairment: The Sydney memory and ageing study. Psychological Medicine, 43(11), 2437–2445. doi:10.1017/S003329171200308X.
   PubMed Web of Science ®Google Scholar
• Reuben, D. B., Seeman, T. E., Keeler, E., Hayes, R. P., Bowman, L., Sewall, A., … Guralnik, J. M. (2004). Refining the categorization of physical functional status: The added value of combining self-reported and performance-based measures. The Journals of Gerontology. Series A, Biological Sciences and Medical Sciences, 59(10), M1056–M1061. doi:10.1093/gerona/59.10.M1056.
   PubMed Web of Science ®Google Scholar
• Reuben, D. B., & Solomon, D. H. (1989). Assessment in geriatrics. Of caveats and names. Journal of the American Geriatrics Society, 37(6), 570–572. doi:10.1111/j.1532-5415.1989.tb05691.x.
   PubMed Web of Science ®Google Scholar
• Roppolo, M., Mulasso, A., Gobbens, R. J., Mosso, C. O., & Rabaglietti, E. (2015). A comparison between uni- and multidimensional frailty measures: Prevalence, functional status, and relationships with disability. Clinical Interventions in Aging, 10, 1669–1678. doi:10.2147/CIA.S92328.
   PubMed Web of Science ®Google Scholar
• Schwarz, G. (1978). Estimating the dimension of a model. The Annals of Statistics, 6(2), 461–464.
   Web of Science ®Google Scholar
• Sclove, S. L. (1987). Application of model-selection criteria to some problems in multivariate analysis. Psychometrika, 52(3), 333–343. doi:10.1007/BF02294360.
   Web of Science ®Google Scholar
• St. John, P. D. S., Tyas, S. L., Menec, V., & Tate, R. (2014). Multimorbidity, disability, and mortality in community-dwelling older adults. Canadian Family Physician, 60(5), e272–e280.
   PubMed Web of Science ®Google Scholar
• Teng, E., Becker, B. W., Woo, E., Knopman, D. S., Cummings, J. L., & Lu, P. H. (2010). Utility of the Functional Activities Questionnaire for distinguishing mild cognitive impairment from very mild Alzheimer’s disease. Alzheimer Disease and Associated Disorders, 24(4), 348–353. doi:10.1097/WAD.0b013e3181e2fc84.
   PubMed Web of Science ®Google Scholar
• Villanueva-Iza, C., Bermejo-Pareja, F., Berbel-Garcia, A., Trincado Soriano, R., & Rivera Navarro, J. (2003). Validation of a clinical protocol for the detection of dementia in the population. Revista De Neurología, 36(12), 1121–1126.
   PubMed Web of Science ®Google Scholar
• Willis, S. (1996). Everyday cognitive competence in elderly persons: Conceptual issues and empirical findings. The Gerontologist, 36(5), 595–601. doi:10.1093/geront/36.5.595.
   PubMed Web of Science ®Google Scholar