Young-Old City-Dwellers Outperform Village Counterparts in Attention and Verbal Control Tasks
Status PubMed-not-MEDLINE Jazyk angličtina Země Švýcarsko Médium electronic-ecollection
Typ dokumentu časopisecké články
PubMed
31191412
PubMed Central
PMC6546844
DOI
10.3389/fpsyg.2019.01224
Knihovny.cz E-zdroje
- Klíčová slova
- aging, attention, cognition, environment, rural, test norms, urban,
- Publikační typ
- časopisecké články MeSH
Cognitive performance is dynamic and shaped by individual biological and environmental factors throughout life. In psychology, besides the effects of age, education, and other often studied factors, the complexity of the lived-in environment and urbanicity in that context are yet to be elucidated. In this observational cross-sectional study, we compare cognitive performance in standard neuropsychological tests in healthy older persons from three different types of settlements in the Czechia: the capital city of Prague, towns, and villages. The groups were equal in terms of the age-band (60-74 years), the distribution of gender, education, past and current leisure activities, and cognitive health status (MMSE score). The results showed that Prague citizens had consistently better performance in all verbal tests (for memory and verbal control, i.e., executive function) and attention than persons from other areas. The groups did not differ in timed visuo-graphomotor performance. The conclusion is that the complex environment of a city may promote, in the long-term, certain cognitive abilities, distinguishable even in a developed, culturally homogenous country. The implications are: (a) the description of samples used in normative studies should include information on the lived-in environment for the reference of researchers and clinicians; and (b) individual clinical assessment should reflect the role of the patient's environment where appropriate. The exact mechanisms and causes of the differences need further investigation.
Zobrazit více v PubMed
Aranciva F., Casals-Coll M., Sánchez-Benavides G., Quintana M., Manero R. M., Rognoni T., et al. (2012). Spanish normative studies in a young adult population (NEURONORMA young adults project): norms for the boston naming test and the token test. Neurología 27 394–399. 10.1016/j.nrleng.2011.12.010 PubMed DOI
Arbuthnott K., Frank J. (2000). Trail Making Test, Part B as a measure of executive control: validation using a set-switching paradigm. J. Clin. Exp. Neuropsychol. 22 518–528. 10.1076/1380-3395(200008)22:4;1-0;ft518 PubMed DOI
Arsenault-Lapierre G., Whitehead V., Belleville S., Massoud F., Bergman H., Chertkow H. (2011). Mild cognitive impairment subcategories depend on the source of norms. J. Clin. Exp. Neuropsychol. 33 596–603. 10.1080/13803395.2010.547459 PubMed DOI
Beaudreau S. A., O’Hara R. (2008). Late-life anxiety and cognitive impairment: a review. Am. J. Geriatr. Psychiatry 16 790–803. 10.1097/JGP.0b013e31817945c3 PubMed DOI
Beeri M. S., Schmeidler J., Sano M., Wang J., Lally R., Grossman H., et al. (2006). Age, gender, and education norms on the CERAD neuropsychological battery in the oldest old. Neurology 67 1006–1010. 10.1212/01.wnl.0000237548.15734.cd PubMed DOI PMC
Bernard J., Kostelecký T., Mikešová R., Šafr J., Šimon M., Trlifajová L., et al. (2018). Nic se tady Nedìje. Životní Podmínky na Periferním Venkovì [Nothing Happens Here. Life Conditions in Peripheral Countryside. Praha: Sociologické nakladatelství SLON.
Bezdicek O., Lukavsky J., Stepankova H., Nikolai T., Axelrod B. N., Michalec J., et al. (2015). The Prague Stroop Test: normative standards in older Czech adults and discriminative validity for mild cognitive impairment in Parkinson’s disease. J. Clin. Exp. Neuropsychol. 37 794–807. 10.1080/13803395.2015.1057106 PubMed DOI
Bezdicek O., Stepankova H., Axelrod B. N., Nikolai T., Sulc Z., Jech R., et al. (2017). Clinimetric validity of the trail making test czech version in Parkinson’s disease and normative data for older adults. Clin. Neuropsychol. 31 42–60. 10.1080/13854046.2017.1324045 PubMed DOI
Bondi M. W., Edmonds E. C., Jak A. J., Clark L. R., Delano-Wood L., McDonald C. R., et al. (2014). Neuropsychological criteria for mild cognitive impairment improves diagnostic precision, biomarker associations, and progression rates. J. Alzheimers Dis. 42 275–289. 10.3233/JAD-140276 PubMed DOI PMC
Borella E., Carretti B., Cantarella A., Riboldi F., Zavagnin M., De Beni R. (2014). Benefits of training visuospatial working memory in young–old and old–old. Dev. Psychol. 50 714–727. 10.1037/a0034293 PubMed DOI
Cassarino M., O’Sullivan V., Kenny R. A., Setti A. (2016). Environment and cognitive aging: a cross-sectional study of place of residence and cognitive performance in the Irish longitudinal study on aging. Neuropsychology 30 543–557. 10.1037/neu0000253 PubMed DOI
Cassarino M., Setti A. (2015). Environment as ‘Brain Training’: a review of geographical and physical environmental influences on cognitive ageing. Ageing Res. Rev. 23 167–182. 10.1016/j.arr.2015.06.003 PubMed DOI
Cassarino M., Setti A. (2016). Complexity as key to designing cognitive-friendly environments for older people. Front. Psychol. 7:1329. 10.3389/fpsyg.2016.01329 PubMed DOI PMC
Chauvin J. P., Glaeser E., Ma Y., Tobio K. (2016). What is Different About Urbanization in Rich and Poor Countries? Cities in Brazil, China, India and the United States. Cambridge, MA: National Bureau of Economic Research.
Costa A., Bagoj E., Monaco M., Zabberoni S., De Rosa S., Papantonio A. M., et al. (2014). Standardization and normative data obtained in the Italian population for a new verbal fluency instrument, the phonemic/semantic alternate fluency test. Neurol. Sci. 35 365–372. 10.1007/s10072-013-1520-8 PubMed DOI
Crum R. M., Anthony J. C., Bassett S. S., Folstein M. F. (1993). Population-based norms for the Mini-Mental State Examination by age and educational level. J. Am. Med. Assoc. 269 2386–2391. 10.1001/jama.1993.03500180078038 PubMed DOI
CZSO (2011). Seniořiv ČR 2010 [Seniors in the Czech Republic in 2010]. Available at: http://www.czso.cz/csu/2010edicniplan.nsf/publ/1417-10-nepravidelne_2010 (accessed April 26, 2019).
CZSO (2014). Národnostní Struktura Obyvatel [Nationality Structure of the Population]. Available at: https://www.czso.cz/documents/10180/20551765/170223-14.pdf (accessed April 26, 2019).
CZSO (2016). Senioři v Čase - za Období 2000 a 2015 [Seniors in the Passage of Time - in 2000 and 2015]. Praha: CZSO - Czech Statistical Office.
Dammhahn M., Dingemanse N. J., Niemelä P. T., Réale D. (2018). Pace-of-life syndromes: a framework for the adaptive integration of behaviour, physiology and life history. Behav. Ecol. Sociobiol. 72:62 10.1007/s00265-018-2473-y DOI
Dufouil C., Clayton D., Brayne C., Chi L. Y., Dening T. R., Paykel E. S., et al. (2000). Population norms for the MMSE in the very old: estimates based on longitudinal data. Mini-mental state examination. Neurology 55 1609–1613. 10.1212/wnl.55.11.1609 PubMed DOI
Evans R. J. (2009). A comparison of rural and urban older adults in Iowa on specific markers of successful aging. J. Gerontol. Soc. Work 52 423–438. 10.1080/01634370802609197 PubMed DOI
Feng L., Ng X.-T., Yap P., Li J., Lee T.-S., Håkansson K., et al. (2014). Marital status and cognitive impairment among community-dwelling Chinese older adults: the role of gender and social engagement. Dement. Geriatr. Cogn. Disord. 4 375–384. 10.1159/000358584 PubMed DOI PMC
Festini S. B., McDonough I. M., Park D. C. (2016). The busier the better: greater busyness is associated with better cognition. Front. Aging Neurosci. 8:98. 10.3389/fnagi.2016.00098 PubMed DOI PMC
Fisher G. G., Stachowski A., Infurna F. J., Faul J. D., Grosch J., Tetrick L. E. (2014). Mental work demands, retirement, and longitudinal trajectories of cognitive functioning. J. Occup. Health Psychol. 19 231–242. 10.1037/a0035724 PubMed DOI PMC
Folstein M. F., Folstein S. E., McHugh P. R. (1975). Mini-mental state”. A practical method for grading the cognitive state of patients for the clinician. J. Psychiatr. Res. 12 189–198. PubMed
Frydrychova Z., Horakova K., Vidovicova L., Stepankova H. (2017). “Perception of life pace in the city and countryside among older people,” in The European Proceedings of Social & Behavioural Sciences EpSBS, eds Bekirogullari Z., Minas M. Y., Thambusamy R. X. (Porto: Porto Academy; ), 117–128. 10.15405/epsbs.2017.11.12 DOI
Frydrychová Z., Kopeček M., Bezdíček O., Štěpánková Georgi H. (2018). České normy pro revidovaný Reyův auditorně-verbální test učení (RAVLT) pro populaci starších osob [Czech normative study of the revised Rey auditory verbal learning test (RAVLT) in older adults]. Cesk Psychol. 62 330–349.
Frydrychova Z., Lukavsky J., Georgi H. (2018). “Relationship between education, leisure activities and cognitive performance in persons in old-age pension,” in Ageing 2018: Proceedings of the 4th Gerontological Interdisciplinary Conference, eds Georgi H., Šlamberová R. (Prague, CR: Charles Univesity; ), 44–55.
Frydrychová Z., Štěpánková H. (2017). “Paralelní verze testu logické paměti - Povídky [parallel version of Logical memory test - Story],” in Cesk Slov Neurol, ed. Purkyně J. E. (Brno: Česká lékařská společnost; ).
Ganguli M., Ratcliff G., Huff J., Belle S., Kancel M. J., Fischer L., et al. (1991). Effects of age, gender, and education on cognitive tests in a rural elderly community sample: norms from the Monongahela valley independent elders survey. Neuroepidemiology 10 42–52. 10.1159/000110246 PubMed DOI
Georgi H., Frydrychova Z., Vlckova K. (2018). “Personal impediments and cognition in older age,” in Ageing 2018: Proceedings of the 4th Gerontological Interdisciplinary Conference, eds Georgi H., Šlamberová R. (Prague, CR: Charles University; ), 56–71.
Government of the Czech Republic (2018). “Informace o romské národnostní menšinì [information on roma ethnic minority],” in Proceedings of the Zpráva o Stavu Romské Menšiny v České Republice za rok 2017, Úřad vlády České republiky, Praha, 4–7.
Håkansson K., Rovio S., Helkala E.-L., Vilska A.-R., Winblad B., Soininen H., et al. (2009). Association between mid-life marital status and cognitive function in later life: population based cohort study. BMJ 339:b2462. 10.1136/bmj.b2462 PubMed DOI PMC
Hashimoto R., Meguro K., Lee E., Kasai M., Ishii H., Yamaguchi S. (2006). Effect of age and education on the trail making test and determination of normative data for Japanese elderly people: the Tajiri project. Psychiatr. Clin. Neurosci. 60 422–428. 10.1111/j.1440-1819.2006.01526.x PubMed DOI
Hertzog C., Kramer A. F., Wilson R. S., Lindenberger U. (2008). Enrichment effects on adult cognitive development: can the functional capacity of older adults be preserved and enhanced? Psychol. Sci. Publ. Int. 9 1–65. 10.1111/j.1539-6053.2009.01034.x PubMed DOI
Horáková K., Vidovićová L., Štěpánková H. (2016). Velkoměsto a výkony v neuropsychologických testech u starších osob [city and performance in neuropsychological tests in older persons]. Cesk Psychol. 60 637–646.
IBM Corp (2015). IBM SPSS Statistics for Windows. Armonk, NY: IBM Corp.
Imai K. S., Malaeb B. (2016). Asia’s Rural-Urban Disparity in the Context of Growing Inequality, Discussion Paper Series DP2016-29. Available at: https://ideas.repec.org/p/kob/dpaper/dp2016-29.html (accessed April 26, 2019).
JASP Team (2018). JASP. Available at: https://jasp-stats.org/ (accessed April 26, 2019).
Jones S. A. H., Butler B. C., Kintzel F., Johnson A., Klein R. M., Eskes G. A. (2016). Measuring the performance of attention networks with the Dalhousie computerized attention battery (DALCAB): methodology and reliability in healthy adults. Front. Psychol. 7:823. 10.3389/fpsyg.2016.00823 PubMed DOI PMC
Joy S., Kaplan E., Fein D. (2004). Speed and memory in the WAIS-III digit symbol-coding subtest across the adult lifespan. Arch. Clin. Neuropsychol. 19 759–767. 10.1016/j.acn.2003.09.009 PubMed DOI
Kan K.-J., Wicherts J. M., Dolan C. V., van der Maas H. L. (2013). On the nature and nurture of intelligence and specific cognitive abilities: the more heritable, the more culture dependent. Psychol. Sci. 24 2420–2428. 10.1177/0956797613493292 PubMed DOI
Kane M. J., Engle R. W. (2003). Working-memory capacity and the control of attention: the contributions of goal neglect, response competition, and task set to stroop interference. J. Exp. Psychol. Gen. 132 47–70. 10.1037/0096-3445.132.1.47 PubMed DOI
Khosravi Fard E., Keelor J., Akbarzadeh Bagheban A., Keith R. (2016). Comparison of the Rey auditory verbal learning test (RAVLT) and digit test among typically achieving and gifted students. Iran J. Child Neurol. 10 26–37. PubMed PMC
Kopecek M., Stepankova H., Lukavsky J., Ripova D., Nikolai T., Bezdicek O. (2017). Montreal cognitive assessment (MoCA): normative data for old and very old Czech adults. Appl. Neuropsychol. Adult 24 23–29. 10.1080/23279095.2015.1065261 PubMed DOI
Kramer A. F., Bherer L., Colcombe S. J., Dong W., Greenough W. T. (2004). Environmental influences on cognitive and brain plasticity during aging. J. Gerontol. A Biol. Sci. Med. Sci. 59 M940–M957. 10.1093/gerona/59.9.M940 PubMed DOI
Krueger K. R., Wilson R. S., Kamenetsky J. M., Barnes L. L., Bienias J. L., Bennett D. A. (2009). Social engagement and cognitive function in old age. Exp. Aging Res. 35 45–60. 10.1080/03610730802545028 PubMed DOI PMC
Lawton M. P., Brody E. M. (1969). Assessment of older people: self-maintaining and instrumental activities of daily living. Gerontologist 9 179–186. 10.1093/geront/9.3_Part_1.179 PubMed DOI
Lawton M. P., Nahemow L. (1973). “Ecology and the aging process,” in The Psychology of Adult Development and Aging, eds Eisdorfer C., Lawton M. P. (Washington, DC: American Psychological Association; ), 619–674. 10.1037/10044-020 DOI
Lezak M. D., Howieson D. B., Bigler E. D., Tranel D. (eds) (2012). Neuropsychological Assessment, 5th Edn. New York, NY: Oxford University Press.
Li G., Larson E. B., Shofer J. B., Crane P. K., Gibbons L. E., McCormick W., et al. (2017). Cognitive trajectory changes over 20 years before dementia diagnosis: a large cohort study. J. Am. Geriatr. Soc. 65 2627–2633. 10.1111/jgs.15077 PubMed DOI PMC
Litvan I., Goldman J. G., Tröster A. I., Schmand B. A., Weintraub D., Petersen R. C., et al. (2012). Diagnostic criteria for mild cognitive impairment in Parkinson’s disease: movement disorder society task force guidelines. Mov. Disord. 27 349–356. 10.1002/mds.24893 PubMed DOI PMC
Lojo-Seoane C., Facal D., Guardia-Olmos J., Juncos-Rabadan O. (2014). Structural model for estimating the influence of cognitive reserve on cognitive performance in adults with subjective memory complaints. Arch. Clin. Neuropsychol. 29 245–255. 10.1093/arclin/acu007 PubMed DOI
Lorenzo-López L., Millán-Calenti J. C., López-López R., Diego-Diez C., Laffon B., Pásaro E., et al. (2017). Effects of degree of urbanization and lifetime longest-held occupation on cognitive impairment prevalence in an older Spanish population. Front. Psychol. 8:162. 10.3389/fpsyg.2017.00162 PubMed DOI PMC
Machado T. H., Fichman H. C., Santos E. L., Carvalho V. A., Fialho P. P., Keonig A. M., et al. (2009). Normative data for healthy elderly on the phonemic verbal fluency task – FAS. Dem 3 55–60. 10.1590/S1980-57642009DN30100011 PubMed DOI PMC
Marin M.-F., Lord C., Andrews J., Juster R.-P., Sindi S., Arsenault-Lapierre G., et al. (2011). Chronic stress, cognitive functioning and mental health. Neurobiol. Learn. Mem. 96 583–595. 10.1016/j.nlm.2011.02.016 PubMed DOI
Mathôt S., Schreij D., Theeuwes J. (2012). OpenSesame: an open-source, graphical experiment builder for the social sciences. Behav. Res. Methods 44 314–324. 10.3758/s13428-011-0168-7 PubMed DOI PMC
McHugh Power J. E., Steptoe A., Kee F., Lawlor B. A. (2019). Loneliness and social engagement in older adults: a bivariate dual change score analysis. Psychol. Aging 34 152–162. 10.1037/pag0000287 PubMed DOI
Merlino G., Piani A., Gigli G. L., Cancelli I., Rinaldi A., Baroselli A., et al. (2010). Daytime sleepiness is associated with dementia and cognitive decline in older Italian adults: a population-based study. Sleep Med. 11 372–377. 10.1016/j.sleep.2009.07.018 PubMed DOI
Miskovic M. (2013). Roma Education in Europe: Practices, Policies and Politics. Hoboken: Taylor and Francis.
Miu J., Negin J., Salinas-Rodriguez A., Manrique-Espinoza B., Sosa-Ortiz A. L., Cumming R., et al. (2016). Factors associated with cognitive function in older adults in Mexico. Glob. Health Act. 9:30747. 10.3402/gha.v9.30747 PubMed DOI PMC
Moriarty O., McGuire B. E., Finn D. P. (2011). The effect of pain on cognitive function: a review of clinical and preclinical research. Prog. Neurobiol. 93 385–404. 10.1016/j.pneurobio.2011.01.002 PubMed DOI
Mueller K. D., Koscik R. L., LaRue A., Clark L. R., Hermann B., Johnson S. C., et al. (2015). Verbal fluency and early memory decline: results from the wisconsin registry for Alzheimer’s prevention. Arch. Clin. Neuropsychol. 30 448–457. 10.1093/arclin/acv030 PubMed DOI PMC
Mungas D., Reed B. R., Farias S. T., DeCarli C. (2009). Age and education effects on relationships of cognitive test scores with brain structure in demographically diverse older persons. Psychol. Aging 24 116–128. 10.1037/a0013421 PubMed DOI PMC
Munoz E., Sliwinski M. J., Scott S. B., Hofer S. (2015). Global perceived stress predicts cognitive change among older adults. Psychol. Aging 30 487–499. 10.1037/pag0000036 PubMed DOI PMC
Nakamura K., Kitamura K., Watanabe Y., Shinoda H., Sato H., Someya T. (2016). Rural–urban differences in the prevalence of cognitive impairment in independent community-dwelling elderly residents of ojiya city, niigata prefecture, Japan. Environ. Health Prev. 21 422–429. 10.1007/s12199-016-0542-2 PubMed DOI PMC
Narazaki K., Nofuji Y., Honda T., Matsuo E., Yonemoto K., Kumagai S. (2013). Normative data for the montreal cognitive assessment in a japanese community-dwelling older population. Neuroepidemiology 40 23–29. 10.1159/000339753 PubMed DOI
Navarro E., Calero M. (2018). Cognitive plasticity in young-old adults and old-old adults and its relationship with successful aging. Geriatrics 3:76. 10.3390/geriatrics3040076 PubMed DOI PMC
Nikolai T., Stepankova H., Kopecek M., Sulc Z., Vyhnalek M., Bezdicek O. (2018). The uniform data set czech version—normative data in older adults from an international perspective. J. Alzheimers Dis. 61 1233–1240. 10.3233/JAD-170595 PubMed DOI PMC
Nyberg L., Pudas S. (2019). Successful memory aging. Annu. Rev. Psychol. 70 219–243. 10.1146/annurev-psych-010418-103052 PubMed DOI
Panenková E., Štěpánková H., Lukavský J., Kopeček M. (2014). “Porovnání výkonu v kognitivním screeningu podle regionù [Comparison of performance in cognitive screening by region],” in Proceedings of the Stárnutí 2014: Sborník Příspěvků z Gerontologické Mezioborové Konference, eds Štìpánková H., Šlamberová R. Lékaøská Fakulta Univerzity Karlovy, Praha, 290–295.
Pechrová M., Šimpach O. (2013). Rural Areas in the Czech Republic: How do They Differ From Urban Areas?. Prague, CR: Czech University of Life Sciences, 322–334.
Piguet O., Millar J. L., Bennett H. P., Lye T. C., Creasey H., Broe G. A. (2001). Boston naming test: normative data for older Australians. Brain Impair 2 131–139. 10.1375/brim.2.2.131 DOI
Quintana D., Williams D. R. (2018). Bayesian alternatives for common null-hypothesis significance tests in psychiatry: a non-technical guide using JASP. BMC Psychiatry 18:178. 10.1186/s12888-018-1761-4 PubMed DOI PMC
Reale D., Garant D., Humphries M. M., Bergeron P., Careau V., Montiglio P.-O. (2010). Personality and the emergence of the pace-of-life syndrome concept at the population level. Philos. T R. Soc. B 365 4051–4063. 10.1098/rstb.2010.0208 PubMed DOI PMC
Ren L., Bai L., Wu Y., Ni J., Shi M., Lu H., et al. (2018). Prevalence of and risk factors for cognitive impairment among elderly without cardio- and cerebrovascular diseases: a population-based study in rural China. Front. Aging Neurosci. 10:62. 10.3389/fnagi.2018.00062 PubMed DOI PMC
Ricklefs R. E., Wikelski M. (2002). The physiology/life-history nexus. Trends Ecol. Evol. 17 462–468. 10.1016/S0169-5347(02)02578-8 DOI
Rinaldi R., Vignatelli L., D’Alessandro R., Bassein L., Sforza E., Plazzi G., et al. (2001). Validation of symptoms related to excessive daytime sleepiness. Neuroepidemiology 20 248–256. 10.1159/000054798 PubMed DOI
Rivera Mindt M., Byrd D., Saez P., Manly J. (2010). Increasing culturally competent neuropsychological services for ethnic minority populations: a call to action. Clin. Neuropsychol. 24 429–453. 10.1080/13854040903058960 PubMed DOI PMC
Saenz J. L., Downer B., Garcia M. A., Wong R. (2017). Cognition and context: rural–urban differences in cognitive aging among older mexican adults. J. Aging Health 30 965–986. 10.1177/0898264317703560 PubMed DOI PMC
Salthouse T. A. (2006). Mental exercise and mental aging evaluating the validity of the “‘Use It or Lose It”’ hypothesis. Perspect. Psychol. Sci. 1 68–87. 10.1111/j.1745-6916.2006.00005.x PubMed DOI
Salthouse T. A. (2019). Trajectories of normal cognitive aging. Psychol. Aging 34 17–24. 10.1037/pag0000288 PubMed DOI PMC
Sandi C. (2013). Stress and cognition: stress and cognition. Wires Cogn. Sci. 4 245–261. 10.1002/wcs.1222 PubMed DOI
Scarmeas N., Stern Y. (2003). Cognitive reserve and lifestyle. J. Clin. Exp. Neuropsychol. 25 625–633. 10.1076/jcen.25.5.625.14576 PubMed DOI PMC
Schaie K. W. (1980). [Intelligence change in adulthood]. Z. Gerontol. 15 373–384. PubMed
Schaie K. W., Willis S. L. (2010). The Seattle longitudinal study of adult cognitive development. ISSBD Bull. 57 24–29. PubMed PMC
Schooler C. (1984). Psychological effects of complex environments during the life span: a review and theory. Intelligence 8 259–281. 10.1016/0160-2896(84)90011-4 DOI
Scott J., Huskisson E. C. (1976). Graphic representation of pain. Pain 2 175–184. 10.1016/0304-3959(76)90113-5 PubMed DOI
Senior G., Piovesana A., Beaumont P. (2018). Discrepancy analysis and Australian norms for the trail making test. Clin. Neuropsychol. 32 510–523. 10.1080/13854046.2017.1357756 PubMed DOI
Shao Z., Janse E., Visser K., Meyer A. S. (2014). What do verbal fluency tasks measure? Predictors of verbal fluency performance in older adults. Front. Psychol. 5:772. 10.3389/fpsyg.2014.00772 PubMed DOI PMC
Sheikh J. I., Yesavage J. A. (1986). Geriatric depression scale (GDS): recent evidence and development of a shorter version. Clin. Gerontol. 5 165–173. 10.1300/J018v05n01_09 PubMed DOI
Štěpánková H., Nikolai T., Lukavský J., Bezdíček O., Vrajová M., Kopeček M. (2015). Mini-mental state examination – česká normativní studie [mini-mental state examination – Czech normative study]. Cesk Slov. Neurol. N. 7 57–63.
Stern Y. (2009). Cognitive reserve. Neuropsychologia 47 2015–2028. 10.1016/j.neuropsychologia.2009.03.004 PubMed DOI PMC
Stine-Morrow E. A. L., Payne B. R., Roberts B. W., Kramer A. F., Morrow D. G., Payne L., et al. (2014). Training versus engagement as paths to cognitive enrichment with aging. Psychol. Aging 29 891–906. 10.1037/a0038244 PubMed DOI PMC
Strauss E. (2006). A Compendium of Neuropsychological Tests: Administration, Norms, and Commentary, 3rd Edn. New York, NY: Oxford University Press.
Suzuki L., Aronson J. (2005). The cultural malleability of intelligence and its impact on the racial/ethnic hierarchy. Psychol. Public Pol. 11 320–327. 10.1037/1076-8971.11.2.320 DOI
Swindell W. R., Cummings S. R., Sanders J. L., Caserotti P., Rosano C., Satterfield S., et al. (2012). Data mining identifies digit symbol substitution test score and serum cystatin C as dominant predictors of mortality in older men and women. Rejuv Res. 15 405–413. 10.1089/rej.2011.1297 PubMed DOI PMC
Tallberg I. M. (2005). The Boston naming test in Swedish: normative data. Brain Lang. 94 19–31. 10.1016/j.bandl.2004.11.004 PubMed DOI
Troyer A. K., Leach L., Strauss E. (2006). Aging and response inhibition: normative data for the Victoria Stroop test. Aging Neuropsychol. Cogn. 13 20–35. 10.1080/138255890968187 PubMed DOI
Tucker-Drob E. M., Briley D. A., Harden K. P. (2013). Genetic and environmental influences on cognition across development and context. Curr. Dir. Psychol. Sci. 22 349–355. 10.1177/0963721413485087 PubMed DOI PMC
Tulsky D. S., Saklofske D., Chelune G., Heaton R., Bornstein R., Prifitera A., et al. (2003). Clinical Interpretation of the WAIS-III and WMS-III. Amsterdam: Academic Press.
Türkes N., Can H., Kurt M., Elmastas Dikec B. (2015). [A study to determine the norms for the trail making test for the age range of 20-49 in Turkey]. Turk. Psikiyatri Derg. 26 189–196. 10.5080/u7739 PubMed DOI
van den Kommer T. N., Comijs H. C., Aartsen M. J., Huisman M., Deeg D. J. H., Beekman A. T. F. (2013). Depression and cognition: how do they interrelate in old age? Am. J. Geriatr. Psychiatry 21 398–410. 10.1016/j.jagp.2012.12.015 PubMed DOI
van der Meer M. J. (2008). The sociospatial diversity in the leisure activities of older people in the Netherlands. J. Aging Stud. 22 1–12. 10.1016/j.jaging.2007.02.001 PubMed DOI
Verghese J., Lipton R. B., Katz M. J., Hall C. B., Derby C. A., Kuslansky G., et al. (2003). Leisure activities and the risk of dementia in the elderly. N. Engl. J. Med. 348 2508–2516. 10.1056/NEJMoa022252 PubMed DOI
Vidovicova L. (2018). Vybrané rozdíly v kvalitě života českých seniorù ve městě a na venkově [selected differences of quality of life of seniors in Czech urban and rural environment]. Forum Sociální Politiky 12 2–8.
Wagenmakers E.-J., Love J., Marsman M., Jamil T., Ly A., Verhagen J., et al. (2018). Bayesian inference for psychology. Part II: example applications with JASP. Psychon. Bull. Rev. 25 58–76. 10.3758/s13423-017-1323-7 PubMed DOI PMC
Walters K., Breeze E., Wilkinson P., Price G. M., Bulpitt C. J., Fletcher A. (2004). Local area deprivation and urban-rural differences in anxiety and depression among people older than 75 years in Britain. Am. J. Public Health 94 1768–1774. 10.2105/ajph.94.10.1768 PubMed DOI PMC
Weber D. (2016). Social engagement to prevent cognitive ageing? Age Ageing 45 441–442. 10.1093/ageing/afw083 PubMed DOI
Wechsler D. (1997a). WAIS-III Wechsler Adult Intelligence Scale, 3rd Edn. San Antonio, TX: Psychological Corporation.
Wechsler D. (1997b). WMS–IIIa - Wechsler Memory Scale, 3rd Edn. Praha: Hogrefe - Testcentrum.
Weden M. M., Shih R. A., Kabeto M. U., Langa K. M. (2018). Secular trends in dementia and cognitive impairment of U.S. rural and urban older adults. Am. J. Prev. Med. 54 164–172. 10.1016/j.amepre.2017.10.021 PubMed DOI PMC
Weintraub S., Salmon D., Mercaldo N., Ferris S., Graff-Radford N. R., Chui H., et al. (2009). The Alzheimer’s Disease centers’ uniform data set (UDS). Alzheimer Dis. Assoc. Disord. 23 91–101. 10.1097/WAD.0b013e318191c7dd PubMed DOI PMC
Weisenbach S. L., Boore L. A., Kales H. C. (2012). Depression and cognitive impairment in older adults. Curr. Psychiatr. Rep. 14 280–288. 10.1007/s11920-012-0278-7 PubMed DOI
Wennberg A., Wu M., Rosenberg P., Spira A. (2017). Sleep disturbance, cognitive decline, and dementia: a review. Semin. Neurol. 37 395–406. 10.1055/s-0037-1604351 PubMed DOI PMC
Zhang Z., Gu D., Hayward M. D. (2008). Early life influences on cognitive impairment among oldest old Chinese. J. Gerontol. B Psychol. Sci. Soc. Sci. 63 S25–S33. 10.1093/geronb/63.1.S25 PubMed DOI
Zhao G., Ye J., Li Z., Xue S. (2017). How and why do chinese urban students outperform their rural counterparts? China Econ. Rev. 45 103–123. 10.1016/j.chieco.2017.06.006 DOI
Zhou Z., Wang P., Fang Y. (2018). Social engagement and its change are associated with dementia risk among Chinese older adults: a longitudinal study. Sci. Rep. 8:1551. 10.1038/s41598-017-17879-w PubMed DOI PMC