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Classification models for identification of at-risk groups for incident memory complaints

Published online by Cambridge University Press:  15 November 2013

Tessa N. van den Kommer*
Affiliation:
Department of Epidemiology & Biostatistics, EMGO Institute for Health and Care Research, VU University Medical Center, Amsterdam, the Netherlands
Hannie C. Comijs
Affiliation:
Department of Psychiatry, EMGO Institute for Health and Care Research, VU University Medical Center, Amsterdam, the Netherlands
Kelly J. Rijs
Affiliation:
Department of Epidemiology & Biostatistics, EMGO Institute for Health and Care Research, VU University Medical Center, Amsterdam, the Netherlands
Martijn W. Heymans
Affiliation:
Department of Epidemiology & Biostatistics, EMGO Institute for Health and Care Research, VU University Medical Center, Amsterdam, the Netherlands
Martin P. J. van Boxtel
Affiliation:
Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience (MHeNS), Maastricht University, Maastricht, the Netherlands
Dorly J. H. Deeg
Affiliation:
Department of Psychiatry, EMGO Institute for Health and Care Research, VU University Medical Center, Amsterdam, the Netherlands
*
Correspondence should be addressed to: Dr. T. N. van den Kommer, VU University Medical Center, Van der Boechorststraat 7, 1081 BT Amsterdam, the Netherlands. Phone: +31-20-4449337; Fax: +31-20-4446770. Email: tn.vandenkommer@vumc.nl.

Abstract

Background:

Memory complaints in older adults may be a precursor of measurable cognitive decline. Causes for these complaints may vary across age groups. The goal of this study was to develop classification models for the early identification of persons at risk for memory complaints using a broad range of characteristics.

Methods:

Two age groups were studied, 55–65 years old (N = 1,416.8) and 65–75 years old (N = 471) using data from the Longitudinal Aging Study Amsterdam. Participants reporting memory complaints at baseline were excluded. Data on predictors of memory complaints were collected at baseline and analyzed using logistic regression analyses. Multiple imputation was applied to handle the missing data; missing data due to mortality were not imputed.

Results:

In persons aged 55–65 years, 14.4% reported memory complaints after three years of follow-up. Persons using medication, who were former smokers and had insufficient/poor hearing, were at the highest risk of developing memory complaints, i.e. a predictive value of 33.3%. In persons 65–75 years old, the incidence of memory complaints was 22.5%. Persons with a low sense of mastery, who reported having pain, were at the highest risk of memory complaints resulting in a final predictive value of 56.9%. In the subsample of persons without a low sense of mastery who (almost) never visited organizations and had a low level of memory performance, 46.8% reported memory complaints at follow-up.

Conclusions:

The classification models led to the identification of specific target groups at risk for memory complaints. Suggestions for person-tailored interventions may be based on these risk profiles.

Type
Research Article
Copyright
Copyright © International Psychogeriatric Association 2013 

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References

Aarts, S.et al. (2011). Multimorbidity and its relation to subjective memory complaints in a large general population of older adults. International Psychogeriatics, 23, 616624. doi:10.1017/S1041610210002024.Google Scholar
Amariglio, R. E., Townsend, M. K., Grodstein, F., Sperling, R. A. and Rentz, D. M. (2011). Specific subjective memory complaints in older persons may indicate poor cognitive function. Journal of the American Geriatrics Society, 59, 16121617. doi:10.1111/j.1532-5415.2011.03543.x.Google Scholar
Andrews, G., Cuijpers, P., Craske, M. G., McEvoy, P. and Titov, N. (2010). Computer therapy for the anxiety and depressive disorders is effective, acceptable and practical healthcare: a meta-analysis. PLoS One, 5, e13196. doi:10.1371/journal.pone.0013196.CrossRefGoogle Scholar
Bassuk, S. S., Glass, T. A. and Berkman, L. F. (1999). Social disengagement and incident cognitive decline in community-dwelling elderly persons. Annals of Internal Medicine, 131, 165173.Google Scholar
Beekman, A. T. F., Deeg, D. J. H., Van Limbeek, J., Braam, A. W., De Vries, M. Z. and Van Tilburg, W. (1997). Criterion validity of the Center for Epidemiologic Studies Depression scale (CES-D): results from a community-based sample of older subjects in the Netherlands. Psychological Medicine, 27, 231235.CrossRefGoogle Scholar
Benito-León, J., Mitchell, A. J., Vega, S. and Bermejo-Pareja, F. (2010). A population-based study of cognitive function in older people with subjective memory complaints. Journal of Alzheimers Disease, 22, 159170. doi:10.3233/JAD-2010-100972.Google Scholar
Bond, G. E., Burr, R. L., Wolf, F. M. and Feldt, K. (2010). The effects of a web-based intervention on psychosocial well-being among adults aged 60 and older with diabetes: a randomized trial. Diabetes Educator, 36, 446456. doi:10.1177/0145721710366758.Google Scholar
Bosscher, R. J. and Smit, J. H. (1998). Confirmatory factor analysis of the general self-efficacy scale. Behaviour Research and Therapy, 36, 339343. doi:10.1016/S0005-7967(98)00025-4.Google Scholar
Bremmer, M. A., Hoogendijk, W. J. G., Deeg, D. J. H., Schoevers, R. A., Schalk, B. W. M. and Beekman, A. T. F. (2006). Depression in older age is a risk factor for first ischemic cardiac events. American Journal of Geriatric Psychiatry, 14, 523530. doi:10.1097/01.JGP.0000216172.31735.d5.Google Scholar
Clarnette, R. M., Almeida, O. P., Forstl, H., Paton, A. and Martins, R. N. (2001). Clinical characteristics of individuals with subjective memory loss in Western Australia: results from a cross-sectional survey. International Journal of Geriatric Psychiatry, 16, 168174. doi:10.1002/1099-1166(200102).Google Scholar
Cockayne, N. L., Glozier, N., Naismith, S. L., Christensen, H., Neal, B. and Hickie, I. B. (2011). Internet-based treatment for older adults with depression and co-morbid cardiovascular disease: protocol for a randomised, double-blind, placebo controlled trial. BMC Psychiatry, 11. doi:10.1186/1471-244X-11-10.Google Scholar
Comijs, H. C., Deeg, D. J., Dik, M. G., Twisk, J. W. and Jonker, C. (2002). Memory complaints; the association with psycho-affective and health problems and the role of personality characteristics. A 6-year follow-up study. Journal of Affective Disorders, 72, 157165. doi:10.1016/S0165-0327(01)00453-0.Google Scholar
De Boer, M. R.et al. (2004). Different aspects of visual impairment as risk factors for falls and fractures in older men and women. Journal of Bone and Mineral Research, 19, 15391547. doi:10.1359/JBMR.040504.Google Scholar
Deeg, D. J. H. and Kriegsman, D. M. W. (2003). Concepts of self-rated health: specifying the gender difference in mortality risk. Gerontologist, 43, 376386. doi:10.1093/geront/43.3.369.Google Scholar
De Jong Gierveld, J. and Kamphuis, F. (1985). The development of a Rasch-type loneliness scale. Applied Psychological Measurement, 9, 289299. doi:10.1177/014662168500900307.Google Scholar
Derouesné, C.et al. (1989). Memory complaints in the elderly: a study of 367 community-dwelling individuals from 50 to 80 years old. Archives of Gerontology and Geriatrics Supplement, 1, 151163.Google Scholar
Derouesné, C., Lacomblez, L., Thibault, S. and LePoncin, M. (1999). Memory complaints in young and elderly subjects. International Journal of Geriatric Psychiatry, 14, 291301. doi:10.1002/(SICI)1099-1166(199904).Google Scholar
Fairchild, J. K. and Scogin, F. R. (2010). Training to Enhance Adult Memory (TEAM): an investigation of the effectiveness of a memory training program with older adults. Aging and Mental Health, 14, 364373. doi:10.1080/13607860903311733.Google Scholar
Faucounau, V., Wu, Y. H., Boulay, M., De Rotrou, J. and Rigaud, A. S. (2010). Cognitive intervention programmes on patients affected by mild cognitive impairment: a promising intervention tool for MCI? Journal of Nutrition, Health and Aging, 14, 3135. doi:10.1007/s12603-010-0006-0.Google Scholar
Folstein, M. F., Folstein, S. E. and McHugh, P. R. (1975). Mini-Mental State. A practical method for grading cognitive state of patients for the clinician. Journal of Psychiatric Research, 12, 189198. doi:10.1016/0022-3956(75)90026-6.Google Scholar
Fratiglioni, L.et al. (2000). Incidence of dementia and major subtypes in Europe: a collaborative study of population-based cohorts. Neurologic Diseases in the Elderly Research Group. Neurology, 54, S10–S15. doi:00006114-200006135-00003.Google Scholar
Garretsen, H. and Knibbe, R. (1983). Alcohol Prevalence Study Rotterdam/Limburg, National Final Report Ministry of Welfare, Health and Culture. Leidschendam, Netherlands (in Dutch).Google Scholar
Geerlings, M. I., Jonker, C., Bouter, L. M., Ader, H. J. and Schmand, B. (1999). Association between memory complaints and incident Alzheimer's disease in elderly people with normal baseline cognition. American Journal of Psychiatry, 156, 531537.Google Scholar
Geerlings, S. W., Twisk, J. W. R., Beekman, A. T. F., Deeg, D. J. H. and Van Tilburg, W. (2002). Longitudinal relationship between pain and depression in older adults: sex, age and physical disability. Social Psychiatry and Psychiatric Epidemiology, 37, 2330.Google Scholar
Gustafson, D. H.et al. (1999). Impact of a patient-centered, computer-based health information/support system. American Journal of Preventive Medicine, 16, 19. PII: S0749-3797(98)00108-1.Google Scholar
Harwood, D. G., Barker, W. W., Ownby, R. L., Mullan, M. and Duara, R. (2004). No association between subjective memory complaints and apolipoprotein E genotype in cognitively intact elderly. International Journal of Geriatric Psychiatry, 19, 11311139. doi:10.1002/gps.1193.Google Scholar
Huisman, M.et al. (2011). Cohort profile: the Longitudinal Aging Study, Amsterdam. International Journal of Epidemiology, 40, 868876. doi:10.1093/ije/dyq219.CrossRefGoogle ScholarPubMed
Hunt, S. M., McEwen, J. and McKenna, S. P. (1985). Measuring health status: a new tool for clinicians and epidemiologists. Journal of the Royal College of General Practitioners, 35, 185188. PMCID: PMC1960139.Google Scholar
Jonker, C., Geerlings, M. I. and Schmand, B. (2000). Are memory complaints predictive for dementia? A review of clinical and population-based studies. International Journal of Geriatric Psychiatry, 15, 983991. doi:10.1002/1099-1166(200011).Google Scholar
Jyrkkä, J., Enlund, H., Lavikainen, P., Sulkava, R. and Hartikainen, S. (2011). Association of polypharmacy with nutritional status, functional ability and cognitive capacity over a three-year period in an elderly population. Pharmacoepidemiology and Drug Safety, 20, 514522. doi:10.1002/pds.2116.CrossRefGoogle Scholar
Kalmijn, S., Van Boxtel, M. P., Verschuren, M. W., Jolles, J. and Launer, L. J. (2002). Cigarette smoking and alcohol consumption in relation to cognitive performance in middle age. American Journal of Epidemiology, 156, 936944. doi:10.1093/aje/kwf135.Google Scholar
Kramer, S. E., Kapteyn, T. S., Kuik, D. J. and Deeg, D. J. H. (2002). The association of hearing impairment and chronic diseases with psychosocial health status in older age. Journal of Aging and Health, 14, 122137. doi:10.1177/089826430201400107.Google Scholar
Kriegsman, D. M. W., Deeg, D. J. H., Van Eijk, J. T. M., Penninx, B. W. J. H. and Boeke, A. J. P. (1997). Do disease-specific characteristics add to the explanation of mobility limitations in patients with different chronic diseases? A study in the Netherlands. Journal of Epidemiology and Community Health, 51, 676685. PMCID: PMC1060566.CrossRefGoogle Scholar
Lai, S. W., Lin, C. H., Liao, K. F., Su, L. T., Sung, F. C. and Lin, C. C. (2012). Association between polypharmacy and dementia in older people: a population-based case-control study in Taiwan. Geriatrics and Gerontology International, 12, 491498. doi:10.1111/j.1447-0594.2011.00800.x.Google Scholar
Luteijn, F., Starren, J. and Van Dijk, H. (1975). Manual of the DPQ. Lisse, Netherlands: Swets & Zeitlinger (in Dutch).Google Scholar
McDougall, G. J. (1994). Predictors of metamemory in older adults. Nursing Research, 43, 212219. doi:00006199-199407000-00005.Google Scholar
Metternich, B., Kosch, D., Kriston, L., Härter, M. and Hull, M. (2010). The effects of non-pharmacological interventions on subjective memory complaints: a systematic review and meta-analysis. Psychotherapy and Psychosomatics, 79, 619. doi:10.1159/000254901.Google Scholar
Mol, M. E. M., Van Boxtel, M. P. J., Willems, D., Verhey, F. R. J. and Jolles, J. (2009). Subjective forgetfulness is associated with lower quality of life in middle-aged and young-old individuals: a 9-year follow-up in older participants from the Maastricht Aging Study. Aging and Mental Health, 13, 699705. doi:10.1080/13607860902845541.CrossRefGoogle ScholarPubMed
Paradise, M. B., Glozier, N. S., Naismith, S. L., Davenport, T. A. and Hickie, I. B. (2011). Subjective memory complaints, vascular risk factors and psychological distress in the middle-aged: a cross-sectional study. BMC Psychiatry, 11, 108113. doi:10.1186/1471-244X-11-108.Google Scholar
Pearlin, L. I. and Schooler, C. (1978). Structure of coping. Journal of Health and Social Behavior, 19, 221.Google Scholar
Pemberton, M. R.et al. (2011). Evaluation of two web-based alcohol interventions in the US military. Journal of Studies on Alcohol and Drugs, 72, 480489.Google Scholar
Piccinin, A. M. and Rabbitt, P. M. (1999). Contribution of cognitive abilities to performance and improvement on a substitution coding task. Psychology and Aging, 14, 539551. doi:10.1037/0882-7974.14.4.539.Google Scholar
Ponds, R. W. H. M., Commissaris, K. J. A. M. and Jolles, J. (1997). Prevalence and covariates of subjective forgetfulness in a normal population in the Netherlands. International Journal of Aging and Human Development, 45, 207221. doi:10.2190/MVQ1-WB58-875H-Y4X0.Google Scholar
Potter, G. G., Helms, M. J. and Plassman, B. L. (2008). Associations of job demands and intelligence with cognitive performance among men in late life. Neurology, 70, 18031808. doi:10.1212/01.wnl.0000295506.58497.7e.CrossRefGoogle ScholarPubMed
Radloff, L. S. (1977). The CES-D scale: a self-report depression scale for research in the general population. Applied Psychological Measurement, 1, 385401. doi:10.1177/014662167700100306.Google Scholar
Razay, G., Vreugdenhil, A. and Wilcock, G. (2006). Obesity, abdominal obesity and Alzheimer disease. Dementia and Geriatric Cognitive Disorders, 22, 173176. doi:10.1159/000094586.Google Scholar
Rey, A. (1964). L'examen Clinique en Psychologie. Paris, France: Presses Universitaire de France.Google Scholar
Rosenberg, M. (1965). Society and the Adolescent Self-Image. Princeton, NJ: Princeton University Press.Google Scholar
Savage, R. D. (1984). Alphabet Coding Task-15. Unpublished manuscript. Perth, Australia: Murdoch University.Google Scholar
Schofield, P. W., Marder, M., Dooneief, G., Jacobs, D. M., Sano, M. and Stern, Y. (1997). Association of subjective memory complaints with subsequent cognitive decline in community-dwelling elderly individuals with baseline cognitive impairment. American Journal of Psychiatry, 154, 609615.Google Scholar
Shahab, L. and McEwen, A. (2009). Online support for smoking cessation: a systematic review of the literature. Addiction, 104, 17921804. doi:10.1111/j.1360-0443.2009.02710.x.Google Scholar
Sherer, M., Maddux, J. E., Mercandante, B., Prentice-Dunn, S., Jacobs, B. and Rogers, R. W. (1982). The self-efficacy scale: construction and validation. Psychological Reports, 51, 663671.Google Scholar
Smits, C. H. M., Deeg, D. J. H. and Bosscher, R. J. (1995). Well-being and control in older persons: the prediction of well-being from control measures. International Journal of Aging and Human Development, 40, 237251. doi:10.2190/JH5F-2XWH-Y101-7EWF.Google Scholar
Smits, C. H. M., Deeg, D. J. H. and Jonker, C. (1997). Cognitive and emotional predictors of disablement in older adults. Journal of Aging and Health, 9, 204221. doi:10.1177/089826439700900204.Google Scholar
Stel, V. S., Smit, J. H., Pluijm, S. M. F., Visser, M., Deeg, D. J. H. and Lips, P. (2004). Comparison of the LASA Physical Activity Questionnaire with a 7-day diary and pedometer. Journal of Clinical Epidemiology, 57, 252258. doi:10.1016/j.jclinepi.2003.07.008.CrossRefGoogle ScholarPubMed
Steunenberg, B., Beekman, A. T., Deeg, D. J. and Kerkhof, A. J. (2003). Neuroticism in the elderly. The utility of the shortened DPQ-scales. Tijdschrift voor Gerontologie en Geriatrie, 34, 118124 (in Dutch).Google Scholar
Van Sonsbeek, J. L. A. (1988). Methodological and substantial aspects of the OECD indicator of chronic functional limitations. Maandbericht Gezondheid (CBS), 88, 417.Google Scholar
Vestergren, P. and Nilsson, L. G. (2011). Perceived causes of everyday memory problems in a population-based sample aged 39–99. Applied Cognitive Psychology, 25, 641646. doi:10.1002/acp.1734.Google Scholar
Warmerdam, L., Smit, F., van Straten, A., Riper, H. and Cuijpers, P. (2010). Cost-utility and cost-effectiveness of internet-based treatment for adults with depressive symptoms: randomized trial. Journal of Medical Internet Research, 12, e53. doi:10.2196/jmir.1436.Google Scholar
Westoby, C. J., Mallen, C. D. and Thomas, E. (2009). Cognitive complaints in a general population of older adults: prevalence, association with pain and the influence of concurrent affective disorders. European Journal of Pain, 13, 970976. doi:10.1016/j.ejpain.2008.11.011.Google Scholar