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Translation and validation of Chinese version of the Problems in Everyday Living (PEDL) test in patients with mild cognitive impairment

Published online by Cambridge University Press:  14 November 2013

Lawla L. F. Law*
Affiliation:
Occupational Therapy Discipline, School of Public Health, Tropical Medicine and Rehabilitation Sciences, James Cook University, Queensland, Australia
Fiona Barnett
Affiliation:
Institute of Sport & Exercise Science, School of Public Health, Tropical Medicine and Rehabilitation Sciences, James Cook University, Queensland, Australia
Marion A. Gray
Affiliation:
Cluster for Health Improvement, School of Health and Sport Sciences, University of the Sunshine Coast, Maroochydore DC, Queensland, Australia
Matthew K. Yau
Affiliation:
Occupational Therapy Discipline, School of Public Health, Tropical Medicine and Rehabilitation Sciences, James Cook University, Queensland, Australia
Andrew M. H. Siu
Affiliation:
Department of Rehabilitation Sciences, The Hong Kong Polytechnic University, Hunghom, Kowloon, Hong Kong, China
*
Correspondence should be Addressed to: Lawla L. F. Law, Occupational Therapy Discipline, School of Public Health, Tropical Medicine and Rehabilitation Sciences, Rehabilitation and Exercise Sciences Building, James Cook University, James Cook Drive, Douglas, Townsville, QLD 4811, Australia. Phone: +61 7 47816678. Email: [email protected].

Abstract

Background:

Cognitive impairment places older adults at increased risk of functional decline, injuries, and hospitalization. Assessments to determine whether older persons are still capable of meeting the cognitive challenges of everyday living are crucial to ensure their safe and independent living in the community. The present study aims to translate and validate the Chinese version of the Problems in Everyday Living (PEDL) test for use in Chinese population with mild cognitive impairment (MCI).

Methods:

The cultural relevancy and content validity of the Chinese version of PEDL (C-PEDL) was evaluated by a seven-member expert panel. Forty patients with MCI and 40 cognitively healthy participants were recruited to examine the psychometric properties of C-PEDL.

Results:

Significant differences in the C-PEDL scores were found between the patients with MCI and the cognitively healthy controls in both educated (F = 9.96, p = 0.003) and illiterate (F = 10.43, p = 0.004) populations. The C-PEDL had excellent test-retest and inter-rater reliabilities, with intraclass correlation coefficient at 0.95 and 0.99 respectively. The internal consistency of C-PEDL was acceptable with Chronbach's α at 0.69. The C-PEDL had moderate correlation with the Mini-Mental State Examination (r = 0.45, p = 0.004) and the Category Verbal Fluency Test (r = 0.40, p = 0.012), and a moderate negative Spearman's correlation with the Global Deteriorating Scale (r = –0.42, p = 0.007).

Conclusions:

The C-PEDL is a valid and reliable test for assessing the everyday problem-solving ability in Chinese older population with MCI.

Type
Research Article
Copyright
Copyright © International Psychogeriatric Association 2013 

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References

Ardila, A., Ostrosky-Solis, F. and Bernal, B. (2006). Cognitive testing toward the future: the example of semantic verbal fluency (ANIMALS). International Journal of Psychology, 41, 324332. doi:10.1080/00207590500345542.CrossRefGoogle Scholar
Baltes, P. B. (1993). The aging mind: potential and limits. Gerontologist, 33, 580594.CrossRefGoogle ScholarPubMed
Baltes, P. B. (1997). On the incomplete architecture of human ontogeny: selection, optimization, and compensation as foundation of developmental theory. American Psychologist, 52, 366380.CrossRefGoogle ScholarPubMed
Beatty, W. W.et al. (1998). Correlates of coping style in patients with multiple sclerosis. Multiple Sclerosis, 4, 440443.CrossRefGoogle ScholarPubMed
Berg, C. A., Strough, J., Calderone, K. S., Sansone, C. and Weir, C. (1998). The role of problem definitions in understanding age and context effects on strategies for solving everyday problems. Psychology and Aging, 13, 2944.CrossRefGoogle ScholarPubMed
Berg, C. A. (2008). Everyday problem solving in context. In Hofer, S. M. and Alwin, D. F. (eds.), Handbook of Cognitive Aging: Interdisciplinary Perspectives (pp. 207223). Los Angeles, CA: Sage.CrossRefGoogle Scholar
Blanchard-Fields, F. and Mienaltowski, A. (2006). Decision making and everyday problem solving. In Schaie, K. W. and Birren, J. (eds.), Encyclopedia of Gerontology, 2nd edn. (pp. 350358). New York, NY: Academic Press.Google Scholar
Blaum, C. S., Ofstedal, M. B. and Liang, J. (2002). Low cognitive performance, comorbid disease, and task-specific disability: findings from a nationally representative survey. Journal of Gerontology: Medical Sciences, 57, M523–M531.Google ScholarPubMed
Brandt, J.et al. (2009). Selectivity of executive function deficits in mild cognitive impairment. Neuropsychology, 23, 607618.CrossRefGoogle ScholarPubMed
Bryan, J. and Luszcz, M. (2000). Measurement of executive function: considerations for detecting adult age differences. Journal of Clinical and Experimental Neuropsychology, 22, 4055.CrossRefGoogle ScholarPubMed
Burton, C. L., Strauss, E., Hultsch, D. F. and Hunter, M. A. (2009). The relationship between everyday problem solving and inconsistency in reaction time in older adults. Aging, Neuropsychology and Cognition, 16, 607632.CrossRefGoogle ScholarPubMed
Cavaco, S.et al. (2013). Semantic fluency and phonemic fluency: regression-based norms for the Portuguese population. Archives of Clinical Neuropsychology, 28, 262271. doi:10.1093/arclin/act001.CrossRefGoogle ScholarPubMed
Chiu, H. F.et al. (1998). Prevalence of dementia in Chinese elderly in Hong Kong. Neurology, 50, 10021009.CrossRefGoogle ScholarPubMed
Chiu, H. F. K., Lee, H. C., Chung, W. S. and Kwong, P. K. (1994). Reliability and validity of the Cantonese version of Mini-Mental State Examination – a preliminary study. Journal of Hong Kong College of Psychiatry, 4, 2528.Google Scholar
Chu, E. M., Chiu, K. Y., Wong, R. W., Tang, W. M. and Lau, C. S. (2004). Translation and validation of Arthritis Impact Measurement Scales 2 into Chinese: CAIMS2. Arthritis & Rheumatism (Arthritis Care & Research), 51, 2027. doi:10.1002/art.20089.CrossRefGoogle ScholarPubMed
Clark, L. J., Chen, Y. L., McCleary, C. and Mack, W. J. (2009). Longitudinal verbal fluency in normal aging, preclinical, and prevalent Alzheimer's disease. American Journal of Alzheimer's Disease and Other Dementias, 24, 461468. doi:10.1177/1533317509345154. Epub 2009 Sep 16.CrossRefGoogle ScholarPubMed
Cooper, D. B., Lacritz, L. H., Weiner, M. F., Rosenberg, R. N. and Cullum, C. M. (2004). Category fluency in mild cognitive impairment: reduced effect of practice in test–retest conditions. Alzheimer Disease and Associated Disorders, 18, 120122.CrossRefGoogle ScholarPubMed
Cortina, J. M. (1993). What is coefficient alpha? An examination of theory and applications. Journal of Applied Psychology, 78, 98104.CrossRefGoogle Scholar
Der, G. and Deary, I. J. (2006). Age and sex differences in reaction time in adulthood: results from the United Kingdom Health and Lifestyle Survey. Psychology and Aging, 21, 6273. doi:10.1037/0882-7974.21.1.62.CrossRefGoogle ScholarPubMed
Diehl, M., Willis, S. L. and Schaie, K. W. (1995). Everyday problem-solving in older adults: observational assessment and cognitive correlates. Psychology and Aging, 10, 478491.CrossRefGoogle ScholarPubMed
Dodge, H. H., Kadowaki, T., Hayakawa, T., Yamakawa, M., Sekikawa, A. and Ueshima, H. (2005). Cognitive impairment as a strong predictor of incident disability in specific ADL-IADL tasks among community-dwelling elders: the Azuchi Study. Gerontologist, 45, 222230.CrossRefGoogle Scholar
Elgamal, S. A., Roy, E. A. and Sharratt, M. T. (2011). Age and verbal fluency: the mediating effect of speed of processing. Canadian Geriatrics Journal, 14, 6672. doi:10.5770/cgj.v14i3.17.CrossRefGoogle ScholarPubMed
Espinosa, A.et al. (2009). Ecological assessment of executive functions in mild cognitive impairment and mild Alzheimer's disease. Journal of the International Neuropsychological Society, 15, 751757. doi:10.1017/S135561770999035X.CrossRefGoogle ScholarPubMed
Gauthier, S.et al. (2006). Mild cognitive impairment. Lancet, 367, 12621270. doi:10.1016/S0140-6736(06)68542-5.CrossRefGoogle ScholarPubMed
Gyurak, A., Goodkind, M. S., Madan, A., Kramer, J. H., Miller, B. L. and Levenson, R. W. (2009). Do tests of executive functioning predict ability to downregulate emotions spontaneously and when instructed to suppress? Cognitive Affective and Behavioral Neuroscience, 9, 144152. doi:10.3758/CABN.9.2.144.CrossRefGoogle ScholarPubMed
Hedden, T. and Gabrieli, J. D. (2004). Insights into the ageing mind: a view from cognitive neuroscience. Nature Reviews. Neurosciences, 5, 8796.CrossRefGoogle ScholarPubMed
Henry, J. D. and Crawford, J. R. (2004). A meta-analytic review of verbal fluency performance following focal cortical lesions. Neuropsychology, 18, 284295.CrossRefGoogle ScholarPubMed
Jin, G.et al. (2011). Amnestic mild cognitive impairment: functional MR imaging study of response in posterior cingulate cortex and adjacent precuneus during problem-solving tasks. Radiology, 261, 525533.CrossRefGoogle ScholarPubMed
Kimbler, K. J. (2013). Everyday problem-solving and instrumental activities of daily living: support for domain specificity. Behavioral Sciences, 3, 170191. doi:10.3390/bs3010170.CrossRefGoogle ScholarPubMed
Lam, L. C.et al. (2008). Prevalence of very mild and mild dementia in community-dwelling older Chinese people in Hong Kong. International Psychogeriatrics, 20, 135148.CrossRefGoogle ScholarPubMed
Law, L. L., Barnett, F., Yau, M. K. and Gray, M. A. (2012). Measures of everyday competence in older adults with cognitive impairment: a systematic review. Age and Ageing, 41, 916. doi:10.1093/ageing/afr104.CrossRefGoogle ScholarPubMed
Laws, K. R., Duncan, A. and Gale, T. M. (2010). “Normal” semantic-phonemic fluency discrepancy in Alzheimer's disease? A meta-analytic study. Cortex, 46, 595601.CrossRefGoogle ScholarPubMed
Leckey, G. S. and Beatty, W. W. (2002). Predicting functional performance by patients with Alzheimer's disease using the problems in everyday living (PEDL) test: a preliminary study. Journal of the International Neuropsychological Society, 8, 4857.CrossRefGoogle ScholarPubMed
Lee, H. B., Chiu, H. F., Kwok, W. Y., Leung, C. M., Kwong, P. K. and Chung, D. W. S. (1993). Chinese elderly and the GDS short form a preliminary study. Journal of Aging and Mental Health, 14, 3742.Google Scholar
Leung, S. O., Chan, C. C. and Shah, S. (2007). Development of a Chinese version of the modified Barthel index – validity and reliability. Clinical Rehabilitation, 21, 912922.CrossRefGoogle ScholarPubMed
Li, J. (2008). Association of education with the longevity of the Chinese elderly. In Yi, Z. et al. (eds.), Healthy Longevity in China. Demographic Methods and Population Analysis, Vol. 20 (pp. 149156). New York, NY: Springer.CrossRefGoogle Scholar
Lynn, M. R. (1986). Determination and quantification of content validity. Nursing Research, 35, 383385.CrossRefGoogle ScholarPubMed
Marsiske, M. and Willis, S. L. (1995). Dimensionality of everyday problem solving in older adults. Psychology and Aging, 10, 269283.CrossRefGoogle ScholarPubMed
Marson, D. C., Cody, H. A., Ingram, K. K. and Harrell, L. E. (1995). Neuropsychological predictors of competency in Alzheimer's disease using a rational reasons legal standard. Archives of Neurology, 52, 955959.CrossRefGoogle ScholarPubMed
Marson, D. C., Chatterjee, A., Ingram, K. K. and Harrell, L. E. (1996). Toward a neurologic model of competency: cognitive predictors of capacity to consent in Alzheimer's disease using three different legal standards. Neurology, 46, 666672.CrossRefGoogle Scholar
McDowd, J.et al. (2011). Understanding verbal fluency in healthy aging, Alzheimer's disease, and Parkinson's disease. Neuropsychology, 25, 210225.CrossRefGoogle ScholarPubMed
Mienaltowski, A. (2011). Everyday problem solving across the adult life span: solution diversity and efficacy. Annals of the New York Academy of Sciences, 1235, 7585. doi:10.1111/j.1749-6632.2011.06207.x.CrossRefGoogle ScholarPubMed
Morris, R. G., Miotto, E. C., Feigenbaum, J. D., Bullock, P. and Polkey, C. E. (1997). The effect of goal subgoal conflict on planning ability after frontal- and temporal-lobe lesions in humans. Neuropsychologia, 35, 11471157.CrossRefGoogle ScholarPubMed
Ng, S. and Chan, W. M. (2009). Dementia in Hong Kong. Public Health & Epidemiology Bulletin, 18, 5060 (Department of Health Hong Kong, China).Google Scholar
Nutter-Upham, K. E.et al. (2008). Verbal fluency performance in amnestic MCI and older adults with cognitive complaints. Archives of Clinical Neuropsychology, 23, 229–41. doi:10.1016/j.acn.2008.01.005.CrossRefGoogle ScholarPubMed
Park, D. C. and Reuter-Lorenz, P. (2009). The adaptive brain: aging and neurocognitive scaffolding. Annual Review of Psychology, 60, 173196. doi:10.1146/annurev.psych.59.103006.093656.CrossRefGoogle ScholarPubMed
Parker, R. (2000). Health literacy: a challenge for American patients and their health care providers. Health Promotion International, 15, 277283. doi:10.1093/heapro/15.4.277.CrossRefGoogle Scholar
Raz, N. and Rodrigue, K. M. (2006). Differential aging of the brain: patterns, cognitive correlates and modifiers. Neuroscience and Biobehavioral Reviews, 30, 730748.CrossRefGoogle ScholarPubMed
Reisberg, B., Ferris, S. H., de Leon, M. J. and Crook, T. (1982). The global deterioration scale for assessment of primary degenerative dementia. American Journal of Psychiatry, 139, 11361139.Google ScholarPubMed
Resnick, S. M., Pham, D. L., Kraut, M. A., Zonderman, A. B. and Davatzikos, C. (2003). Longitudinal magnetic resonance imaging studies of older adults: a shrinking brain. Journal of Neuroscience, 23, 32953301.CrossRefGoogle ScholarPubMed
Roca, M.et al. (2010). Executive function and fluid intelligence after frontal lobe lesions. Brain, 133, 234247. doi:10.1093/brain/awp269.CrossRefGoogle ScholarPubMed
Roca, M.et al. (2012).The relationship between executive functions and fluid intelligence in Parkinson's disease. Psychological Medicine, 42, 24452452. doi:10.1017/S0033291712000451.CrossRefGoogle ScholarPubMed
Sagar, M. A., Hernann, B. P., La Rue, A. and Woodard, J. L. (2006). Screening for dementia in community-based memory clinic. Wisconsin Medical Journal, 105, 2530.Google Scholar
Salmon, D. P., Jin, H., Zhang, M., Grant, I. and Yu, E. (1995). Neuropsychological assessment of Chinese elderly in the Shanghai dementia survey. Clinical Neuropsychologist, 9, 159168. doi:10.1080/13854049508401598.CrossRefGoogle Scholar
Sánchez-Benavides, G.et al. (2010). Problem-solving abilities and frontal lobe cortical thickness in healthy aging and mild cognitive impairment. Journal of the International Neuropsychological Society, 16, 836845. doi:10.1017/S135561771000069X.CrossRefGoogle ScholarPubMed
Sattin, R. W. (1992). Falls among older persons: a public health perspective. Annual Review of Public Health, 13, 489508.CrossRefGoogle Scholar
Schmitt, N. (1996). Uses and abuses of coefficient alpha. Psychological Assessment, 8, 350353.CrossRefGoogle Scholar
Tavakol, M. and Dennick, R. (2011). Making sense of Cronbach's alpha. International Journal of Medical Education, 2, 5355. doi:10.5116/ijme.4dfb.8dfd.CrossRefGoogle ScholarPubMed
Tierney, M. C.et al. (2001). Identification of those at greatest risk of harm among cognitively impaired people who live alone. Aging, Neuropsychology and Cognition, 8, 182191. doi:10.1076/anec.8.3.182.829.CrossRefGoogle Scholar
Thornton, W. J. and Dumke, H. A. (2005). Age differences in everyday problem-solving and decision-making effectiveness: a meta-analytic review. Psychology and Aging, 20, 8599.CrossRefGoogle ScholarPubMed
Troyer, A. K., Moscovitch, M. and Winocur, G. (1997). Clustering and switching as two components of verbal fluency: evidence from younger and older healthy adults. Neuropsychology, 11, 38146.CrossRefGoogle ScholarPubMed
Weiler, P. G., Lubben, J. E. and Chi, I. (1991). Cognitive impairment and hospital use. American Journal of Public Health, 81, 11531157.CrossRefGoogle ScholarPubMed
Westerhof, G. J., Dittman-Kohli, F. and Thissen, T. (2001). Beyond life satisfaction: lay conceptions of well-being among middle-aged and elderly adults. Social Indicators Research, 56, 179204.CrossRefGoogle Scholar
Willis, S. L. (1996). Everyday problem solving. In Birren, J. E. and Schaie, K. W. (eds.), Handbook of the Psychology of Aging, 4th edn. (pp. 287307). San Diego, CA: Academic Press.Google Scholar
Willis, S. L., Jay, G. M., Diehl, M. and Marsiske, M. (1992). Longitudinal change and the prediction of everyday task competence in the elderly. Research on Aging, 14, 6891.CrossRefGoogle ScholarPubMed
Woodard, J. L., Dorsett, E. S. W., Cooper, J. G., Hermann, B. P. and Sagar, M. A. (2005). Development of a brief cognitive screen for mild cognitive impairment and neurocognitive disorder. Aging, Neuropsychology and Cognition, 12, 299315. doi:10.1080/138255890968268.CrossRefGoogle ScholarPubMed
Yu, F. O., Lui, V. W., Lam, L. C., Chiu, H. F., Karlawish, J. H. and Appelbaum, P. S. (2009). Assessment of capacity to make financial decision in Chinese psychogeriatric patients: a pilot study. Hong Kong Journal of Psychiatry, 19, 8286.Google Scholar
Yu, R.et al. (2012). Trends in prevalence and mortality of dementia in elderly Hong Kong population: projections, disease burden, and implications for long-term care. International Journal of Alzheimer's Disease, 2012, 16 (article ID 406852). doi:10.1155/2012/406852.CrossRefGoogle ScholarPubMed
Zook, N. A., Davalos, D. B., Delosh, E. L. and Davis, H. P. (2004). Working memory, inhibition, and fluid intelligence as predictors of performance on tower of Hanoi and London tasks. Brain and Cognition, 56, 286292.CrossRefGoogle Scholar