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The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.

Computer-based cognitive training for older adults: Determinants of adherence

Turunen, Merita, Hokkanen, Laura, Bäckman, Lars, Stigsdotter-Neely, Anna, Hänninen, Tuomo, Paajanen, Teemu, Soininen, Hilkka, Kivipelto, Miia, Ngandu, Tiia·2019·PLOS ONE

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Show all 8 references

Research works printed but not linked: 27

  1. H Shah, 2016, Research priorities to reduce the global burden of dementia by 2025, Lancet Neurol, 15, 1285, 10.1016/S1474-4422(16)30235-6 · DOI · Paper page
  2. AM Kueider, 2012, Computerized cognitive training with older adults: A systematic review, PLoS ONE, 7, 1, 10.1371/journal.pone.0040588 · DOI · Paper page
  3. YK Shao, 2015, Computer-based cognitive programs for improvement of memory, processing speed and executive function during age-related cognitive decline: A meta-analysis, PLoS One, 10, e0130831, 10.1371/journal.pone.0130831 · DOI
  4. P Sandberg, 2016, Long-term effects of executive process training in young and old adults, Neuropsychol Rehabil, 26, 761, 10.1080/09602011.2015.1108205 · DOI
  5. S Belleville, 2008, Cognitive training for persons with mild cognitive impairment, Int Psychoger, 20, 57, 10.1017/S104161020700631X · DOI · Paper page
  6. NTM Hill, 2017, Computerized cognitive training in older adults with mild cognitive impairment or dementia: A systematic review and meta-analysis, Am J Psychiatry, 4, 329, 10.1176/appi.ajp.2016.16030360 · DOI · Paper page
  7. DK Bagwell, 2008, Assessing compliance: Active versus inactive trainees in a memory intervention, Clin Interv Aging, 3, 371, 10.2147/CIA.S1413 · DOI
  8. LC Lam, 2015, Would older adults with mild cognitive impairment adhere to and benefit from a structured lifestyle activity intervention to enhance cognition?: A cluster randomized controlled trial, PLoS ONE, 10, 1
  9. J Choi, 2013, Cognitive rehabilitation therapies for Alzheimer's disease: A review of methods to improve treatment engagement and self-efficacy, Neuropsychol Rev, 23, 48, 10.1007/s11065-013-9227-4 · DOI · Paper page
  10. L Clare, 2004, Cognitive training and cognitive rehabilitation for people with early-stage Alzheimer's disease: A review, Neuropsychol Rehabil, 14, 385, 10.1080/09602010443000074 · DOI · Paper page
  11. C Huang, 2011, Cognitive function and risk for depression in old age: A meta-analysis of published literature, Int Psychoger, 23, 516, 10.1017/S1041610210000049 · DOI
  12. J Harrison, 2007, A neuropsychological test battery for use in Alzheimer disease clinical trials, Arch Neurol, 64, 1323, 10.1001/archneur.64.9.1323 · DOI · Paper page
  13. E Vartiainen, 2010, Thirty-five-year trends in cardiovascular risk factors in Finland, Int J Epidemiol, 39, 504, 10.1093/ije/dyp330 · DOI · Paper page
  14. T Saaristo, 2007, National type 2 diabetes prevention programme in Finland: FIN-D2D, Int J Circumpolar Health, 66, 101, 10.3402/ijch.v66i2.18239 · DOI · Paper page
  15. M Kivipelto, 2006, Risk score for the prediction of dementia risk in 20 years among middle aged people: A longitudinal, population-based study, Lancet Neurol, 5, 735, 10.1016/S1474-4422(06)70537-3 · DOI · Paper page
  16. JC Morris, 1988, Consortium to establish a registry for Alzheimer's disease (CERAD) clinical and neuropsychological assessment of Alzheimer's disease, Psychopharmacol Bull, 24, 641
  17. T Hanninen, 2010, Early detection of cognitive changes in memory diseases: New cut-off scores for the Finnish version of CERAD neuropsychological battery, Duodecim, 126, 2013
  18. HM Gavelin, 2015, Effects of a process-based cognitive training intervention for patients with stress-related exhaustion, Stress, 18, 578, 10.3109/10253890.2015.1064892 · DOI
  19. P Sandberg, 2014, Executive process training in young and old adults, Aging Neuropsychol Cog, 21, 577, 10.1080/13825585.2013.839777 · DOI
  20. W Van der Elst, 2006, The concept shifting test: Adult normative data, Psychol Assess, 18, 424, 10.1037/1040-3590.18.4.424 · DOI · Paper page
  21. RM Reitan, 1958, Validity of the trail making test as an indicator of organic brain damage, Percept and Mot Skills, 8, 271, 10.2466/pms.1958.8.3.271 · DOI · Paper page
  22. W Van Der Elst, 2006, The letter digit substitution test: Normative data for 1,858 healthy participants aged 24–81 from the Maastricht aging study (MAAS): Influence of age, education, and sex, J Clin Exp Neuropsychol, 28, 998, 10.1080/13803390591004428 · DOI · Paper page
  23. FMDL Vega, 2005, Review: Assessment of two flexible and compatible SNP genotyping platforms: TaqMan® SNP genotyping assays and the SNPlex™ genotyping system, Mutat Res: Fundam Mol Mech Mutagen, 573, 111, 10.1016/j.mrfmmm.2005.01.008 · DOI · Paper page
  24. WW Zung, 1965, A self-rating depression scale, Arch Gen Psychiatry, 12, 63, 10.1001/archpsyc.1965.01720310065008 · DOI · Paper page
  25. JM Guralnik, 1995, Lower-extremity function in persons over the age of 70 years as a predictor of subsequent disability, N Engl J Med, 332, 556, 10.1056/NEJM199503023320902 · DOI · Paper page
  26. JD Edwards, 2017, Speed of processing training results in lower risk of dementia, Alzheimer's Dement: TRCI, 3, 603, 10.1016/j.trci.2017.09.002 · DOI · Paper page
  27. T Ngandu, 2014, Recruitment and baseline characteristics of participants in the Finnish geriatric intervention study to prevent cognitive impairment and disability (FINGER)—A randomized controlled lifestyle trial, IJERPH, 11, 9345, 10.3390/ijerph110909345 · DOI

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Metadata

Authors
Turunen, M., Hokkanen, L., Bäckman, L., Stigsdotter-Neely, A., Hänninen, T., Paajanen, T., Soininen, H., Kivipelto, M., & Ngandu, T.
Venue
PLOS ONE
Published
2019-07-10
Volume
14
Issue
7
Pages
e0219541
ISSN
1932-6203
Cited by
100
References
8
Language
en

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CoChat. (2026). Citation check: Computer-based cognitive training for older adults: Determinants of adherence. https://app.cochat.ai/papers/10.1371/journal.pone.0219541
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Turunen, M., Hokkanen, L., Bäckman, L., Stigsdotter-Neely, A., Hänninen, T., Paajanen, T., Soininen, H., Kivipelto, M., & Ngandu, T. (2019). Computer-based cognitive training for older adults: Determinants of adherence. PLOS ONE. https://doi.org/10.1371/journal.pone.0219541

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.