Skip to main content
Log in

A multidimensional view of out-of-home behaviors in cognitively unimpaired older adults: examining differential effects of socio-demographic, cognitive, and health-related predictors

  • Original Investigation
  • Published:
European Journal of Ageing Aims and scope Submit manuscript

Abstract

Previous studies on predictors of out-of-home behavior (OOHB) have often neglected the multidimensional nature of this construct. The present study distinguished between two levels of analyzing OOHB: out-of-home mobility seen as single behavioral units (e.g., number of places visited, action range, and walking) versus OOHBs seen as engagement in integrated, larger activity units (e.g., cognitively and physically demanding activities). We examined whether a differential relationship between these levels of OOHBs with established predictors of OOHBs, i.e., socio-demographic variables, cognitive abilities, physical functioning, and depression, exists. A sample of 100 cognitively healthy, community-dwelling adults with a mean age of 70.8 years underwent a multi-method OOHB assessment using GPS- (out-of-home mobility) and questionnaire-based (out-of-home activity engagement) measures. Predictors were assessed based on internationally implemented procedures. Regression analyses showed that walking-based mobility and engagement in physical activities could be predicted by physical functioning, whereas most effects of socio-demographic variables, such as age and gender, and of depression on OOHBs were negligible. At the bivariate level, episodic memory was related to action range, global mobility, and to cognitively demanding activity engagement, but not to walking, whereas executive function was related with physically demanding activity engagement only. However, some of these connections became weaker in the full predictor model. Findings support the notion that it is necessary to assess OOHB as a multiple-indicator construct.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

Notes

  1. The Trail Making Tests A and B as indicators of executive functions assess the time needed to complete the tasks; thus, lower values indicate better performance. Both tests originally had positive loadings on the executive functions factor. For a simpler interpretation of the factor scores, we transformed them by multiplying each factor score by “−1” so that higher values imply better executive functioning.

References

  • Aartsen MJ, Smits CHM, van Tilburg T, Knipscheer KCPM, Deeg DJH (2002) Activity in older adults: cause or consequence of cognitive functioning? A longitudinal study on everyday activities and cognitive performance in older adults. J Gerontol B Psychol Sci Soc Sci 57(2):P153–P162

    Article  Google Scholar 

  • Abreu S, Caldas C (2008) Gait speed, balance and age: a correlational study among elderly women with and without participation in a therapeutic exercise program. Rev Bras Fisioter 12:324–330

    Article  Google Scholar 

  • Allmer H (2005) Physical activity and cognitive functioning in aging. J Public Health 13(4):185–188

    Article  Google Scholar 

  • Atkinson HH, Rosano C, Simonsick EM, Williamson JD, Davis C, Ambrosius WT, Rapp SR, Cesari M, Newman Ab, Harris TB, Rubin SM, Yaffe K, Satterfield S, Kritchevsky SB, Health ABC study (2007) Cognitive function, gait speed decline, and comorbidities: the health, aging and body composition study. J Gerontol A Biol Sci Med Sci 62(8):844–850

    Article  Google Scholar 

  • Baker LA, Cahalin LP, Gerst K, Burr JA (2005) Productive activities and subjective well-being among older adults: the influence of number of activities and time commitment. Soc Indic Res 73(3):431–458

    Article  Google Scholar 

  • Baltes PB, Dittmann-Kohli F, Dixon RA (1984) New perspectives on the development of intelligence in adulthood: toward a dual-process conception and a model of selective optimization with compensation. In: Baltes PB, Brim OG (eds) Life-span development and behavior, vol 6. Academic Press, New York, pp 33–76

    Google Scholar 

  • Barnes LL, Wilson RS, Bienias JL, de Leon CFM, Kim H-JN, Buchman AS, Bennett DA (2007) Correlates of life space in a volunteer cohort of older adults. Exp Aging Res 33(1):77–93

    Article  Google Scholar 

  • Bendall MJ, Bassey EJ, Pearson MB (1989) Factors affecting walking speed of elderly people. Age Ageing 18(5):327–332. doi:10.1093/ageing/18.5.327

    Article  Google Scholar 

  • Bielak AAM, Hughes TF, Small BJ, Dixon RA (2007) It’s never too late to engage in lifestyle activities: significant concurrent but not change relationships between lifestyle activities and cognitive speed. J Gerontol B Psychol Sci Soc Sci 62B(6):P331–P339

    Article  Google Scholar 

  • Ble A, Volpato S, Zuliani G, Guralnik JM, Bandinelli S, Lauretani F, Bartali B, Maraldi C, Fellin R, Ferrucci L (2005) Executive function correlates with walking speed in older persons: the InCHIANTI study. J Am Geriatr Soc 53(3):410–415

    Article  Google Scholar 

  • Bohannon RW (1997) Comfortable and maximum walking speed of adults aged 20–79 years: reference values and determinants. Age Ageing 26(1):15–19. doi:10.1093/ageing/26.1.15

    Article  Google Scholar 

  • Bullinger M, Kirchberger I (1998) SF-36. Fragebogen zum Gesundheitszustand. Handanweisung (SF-36 Questionnaire concerning Health status. Manual). Hogrefe, Göttingen

    Google Scholar 

  • Cahn-Weiner DA, Malloy PF, Boyle PA, Marran M, Salloway S (2000) Prediction of functional status from neuropsychological tests in community-dwelling elderly individuals. Clin Neuropsychol 14(2):187–195

    Article  Google Scholar 

  • Colcombe S, Kramer AF (2003) Fitness effects on the cognitive function of older adults: a meta-analytic study. Psychol Sci 14(2):125–130

    Article  Google Scholar 

  • Cotman CW, Berchtold NC (2002) Exercise: a behavioral intervention to enhance brain health and plasticity. Trends Neurosci 25(6):295–301

    Article  Google Scholar 

  • Diehl M (1998) Everyday competence in later life: current status and future directions. Gerontologist 38(4):422–433

    Article  Google Scholar 

  • Diehl M, Willis SL, Schaie KW (1995) Everyday problem solving in older adults: observational assessment and cognitive correlates. Psychol Aging 10(3):478–491

    Article  Google Scholar 

  • Eggermont LHP, Milberg WP, Lipsitz LA, Scherder EJA, Leveille SG (2009) Physical activity and executive function in aging: the MOBILIZE Boston study. J Am Geriatr Soc 57(10):1750–1756

    Article  Google Scholar 

  • Eyler AA, Brownson RC, Bacak SJ, Housemann RA (2003) The epidemiology of walking for physical activity in the United States. Med Sci Sports Exerc 35(9):1529–1536

    Article  Google Scholar 

  • Folstein MF, Folstein SE, McHugh PR (1975) Mini-mental state: a practical method for grading the cognitive state of patients for the clinician. J Psychiatr Res 12(3):189–198

    Article  Google Scholar 

  • Härting C, Markowitsch H-J, Calabrese P, Deisinger K, Kessler J (2000) Wechsler Gedächtnistest—revidierte Fassung: WMS-R; deutsche Adaptation der revidierten Fassung der Wechsler Memory Scale. 1. Aufl. edn. Huber, Bern

    Google Scholar 

  • Hausdorff JM, Yogev G, Springer S, Simon ES, Giladi N (2005) Walking is more like catching than tapping: gait in the elderly as a complex cognitive task. Exp Brain Res 164:541–548

    Article  Google Scholar 

  • Hertzog C (2009) Use it or lose it: an old hypothesis, new evidence, and an ongoing case study. In: Bosworth HB, Hertzog C (eds) Aging and cognition: research methodologies and empirical advances. Decade of behavior (2000–2010). American Psychological Association, Washington, DC, p 161

    Chapter  Google Scholar 

  • Hertzog C, Kramer AF, Wilson RS, Lindenberger U (2008) Enrichment effects on adult cognitive development: can the functional capacity of older adults be preserved and enhanced? Psychol Sci Public Interest 9(1):1–65

    Google Scholar 

  • Holtzer R, Verghese J, Xue X, Lipton RB (2006) Cognitive processes related to gait velocity: results from the Einstein aging study. Neuropsychology 20(2):215–223

    Article  Google Scholar 

  • Holtzer R, Friedman R, Lipton RB, Katz M, Xue X, Verghese J (2007) The relationship between specific cognitive functions and falls in aging. Neuropsychology 21(5):540–548

    Article  Google Scholar 

  • Horgas AL, Wilms H-U, Baltes MM (1998) Daily life in very old age: everyday activities as expression of successful living. The Gerontologist 38(5):556–568

    Article  Google Scholar 

  • Hultsch DF, Hertzog C, Small BJ, Dixon RA (1999) Use it or lose it: engaged lifestyle as a buffer of cognitive decline in aging? Psychol Aging 14(2):245–263

    Article  Google Scholar 

  • Karp A, Paillard-Borg S, Wang HX, Silverstein M, Winblad B, Fratiglioni L (2006) Mental, physical and social components in leisure activities equally contribute to decrease dementia risk. Dement Geriatr Cogn Disord 21(2):65–73

    Article  Google Scholar 

  • Lachman ME, Agrigoroaei S, Murphy C, Tun PA (2010) Frequent cognitive activity compensates for education differences in episodic memory. Am J Geriatr Psychiatr 18(1):4–10. doi:10.1097/JGP.0b013e3181ab8b62

    Article  Google Scholar 

  • Leveille SG, Penninx BWJH, Melzer D, Izmirlian G, Guralnik JM (2000) Sex differences in the prevalence of mobility disability in old age: the dynamics of incidence, recovery, and mortality. J Gerontol B Psychol Sci Soc Sci 55(1):S41–S50

    Article  Google Scholar 

  • Li KZH, Lindenberger U, Freund AM, Baltes PB (2001a) Walking while memorizing: age-related differences in compensatory behavior. Psychol Sci 12(3):230–237

    Article  Google Scholar 

  • Li S-C, Aggen SH, Nesselroade JR, Baltes PB (2001b) Short-term fluctuations in elderly people’s sensorimotor functioning predict text and spatial memory performance: the MacArthur successful aging studies. Gerontology 47(2):100–116

    Article  Google Scholar 

  • Lindenberger U, Baltes PB (1994) Sensory functioning and intelligence in old age: a strong connection. Psychol Aging 9(3):339–355

    Article  Google Scholar 

  • Lindenberger U, Baltes PB (1997) Intellectual functioning in old and very old age: cross-sectional results from the Berlin aging study. Psychol Aging 12(3):410–432

    Article  Google Scholar 

  • Lövdén M, Ghisletta P, Lindenberger U (2005) Social participation attenuates decline in perceptual speed in old and very old age. Psychol Aging 20(3):423–434

    Article  Google Scholar 

  • Metz DH (2000) Mobility of older people and their quality of life. Transp Policy 7(2):149–152

    Article  Google Scholar 

  • Mollenkopf H (ed) (2005) Enhancing mobility in later life Personal coping environmental resources and technical support. The out-of home mobility of older adults in urban and rural regions of five European countries, vol 17., Assistive technology research series; 17IOS Press, Amsterdam

    Google Scholar 

  • Montero-Odasso M, Schapira M, Soriano ER, Varela M, Kaplan R, Camera LA, Mayorga LM (2005) Gait velocity as a single predictor of adverse events in healthy seniors aged 75 years and older. J Gerontol A Biol Sci Med Sci 10:1304–1309

    Article  Google Scholar 

  • Morris JC, Heyman A, Mohs RC, Hughes JP (1989) The consortium to establish a registry for Alzheimer’s disease (CERAD): I. Clinical and neuropsychological assessment of Alzheimer’s disease. Neurology 39(9):1159–1165

    Article  Google Scholar 

  • Murakami E, Wagner DP (1999) Can using global positioning system (GPS) improve trip reporting? Transp Res Part C 7(2–3):149–165

    Article  Google Scholar 

  • Murata C, Kondo T, Tamakoshi K, Yatsuya H, Toyoshima H (2006) Factors associated with life space among community-living rural elders in Japan. Public Health Nurs 23(4):324–331

    Article  Google Scholar 

  • O’Connor ML, Hudak EM, Edwards JD (2011) Cognitive speed of processing training can promote community mobility among older adults: a brief review. J Aging Res. doi:10.4061/2011/430802

    Google Scholar 

  • Oswald F, Wahl H-W, Kaspar R (2005) Psychological aspects of outdoor mobility in later life. In: Mollenkopf H, Marcellini F, Ruoppila I, Szémann Z, Tacken M (eds) The out-of-home mobility of older adults in urban and rural regions of five European countries. IOS Press, Amsterdam

    Google Scholar 

  • Oswald F, Wahl H-W, Voss E, Schilling O, Freytag T, Auslander G, Shoval N, Heinik J, Landau R (2010) The use of tracking technologies for the analysis of outdoor mobility in the face of dementia: first steps into a project and some illustrative findings from Germany. J Hous Elder 24(1):55–73

    Google Scholar 

  • Patla A, Shumway-Cook A (1999) Dimensions of mobility: defining the complexity and difficulty associated with community mobility. J Aging Phys Act 7(1):7–19

    Google Scholar 

  • Peel C, Baker PS, Roth DL, Brown CJ, Bodner EV, Allman RM (2005) Assessing mobility in older adults: the UAB study of aging life-space assessment. Phys Ther 85(10):1008–1019

    Google Scholar 

  • Prohaska TR, Eisenstein AR, Satariano WA, Hunter R, Bayles CM, Kurtovich E, Kealey M, Ivey SL, Ivey SL (2009) Walking and the preservation of cognitive function in older populations. Gerontologist 49(S1):S86–S93. doi:10.1093/geront/gnp079

    Article  Google Scholar 

  • Reitan RM (1958) Validity of the Trail Making Test as an indicator of organic brain damage. Percept Mot Skills 8:271–276

    Article  Google Scholar 

  • Schäfer S, Huxhold O, Lindenberger U (2006) Healthy mind in healthy body? A review of sensorimotor–cognitive interdependencies in old age. Eur Rev Aging Phys Act 3(2):45–54. doi:10.1007/s11556-006-0007-5

    Article  Google Scholar 

  • Sheikh JI, Yesavage JA (1986) Geriatric Depression Scale (GDS): recent evidence and development of a shorter version. Clinical Gerontologist. J Aging Ment Health 5(1):165–173

    Google Scholar 

  • Shinkai S, Watanabe S, Kumagai S, Fujiwara Y, Amano H, Yoshida H, Ishizaki T, Yukawa H, Suzuki T, Shibata H (2000) Walking speed as a good predictor for the onset of functional dependence in a Japanese rural community population. Age Ageing 29(5):441–446. doi:10.1093/ageing/29.5.441

    Article  Google Scholar 

  • Shoval N, Isaacson M (2006) Application of tracking technologies to the study of pedestrian spatial behavior. Prof Geogr 58(2):172–183

    Article  Google Scholar 

  • Shoval N, Auslander G, Freytag T, Landau R, Oswald F, Seidl U, Wahl H-W, Werner S, Heinik J (2008) The use of advanced tracking technologies for the analysis of mobility in Alzheimer’s disease and related cognitive diseases. BMC Geriatr 8(1):7

    Article  Google Scholar 

  • Shoval N, Auslander G, Cohen-Shalom K, Isaacson M, Landau R, Heinik J (2010) What can we learn about the mobility of the elderly in the GPS era? J Transp Geogr 18(5):603–612

    Article  Google Scholar 

  • Shoval N, Wahl H-W, Auslander G, Isaacson M, Oswald F, Edry T, Landau R, Heinik J (2011) Use of the global positioning system to measure the out-of-home mobility of older adults with differing cognitive functioning. Ageing Soc 31(05):849–869. doi:10.1017/S0144686X10001455

    Article  Google Scholar 

  • Shumway-Cook A, Guralnik JM, Phillips CL, Coppin AK, Ciol MA, Bandinelli S, Ferrucci L (2007) Age-associated declines in complex walking task performance: the walking InCHIANTI Toolkit. J Am Geriatr Soc 55(1):58–65

    Article  Google Scholar 

  • Sibley BA, Beilock SL (2007) Exercise and working memory: an individual differences investigation. J Sport Exerc Psychol 29(6):783–791

    Google Scholar 

  • Spreen O, Strauss E (1991) A compendium of neuropsychological tests. Administration, norms, and commentary. 3. Oxford University Press, New York

    Google Scholar 

  • Stalvey BT, Owsley C, Sloane ME, Ball K (1999) The life space questionnaire: a measure of the extent of mobility of older adults. J Appl Gerontol 18(4):460–478

    Article  Google Scholar 

  • Terrier P, Schutz Y (2005) How useful is satellite positioning system (GPS) to track gait parameters? A review. J NeuroEng Rehabil 2(1):28

    Article  Google Scholar 

  • Thalmann B, Monsch AU, Schneitter M, Bernasconi F, Aebi C, Camachova-Davet Z, Staehelin HB (2000) The cerad neuropsychological assessment battery (Cerad-NAB)–A minimal data set as a common tool for German-speaking Europe. Neurobiol Aging 21(Supplement 1):30

    Article  Google Scholar 

  • Tiedemann A, Sherrington C, Lord SR (2005) Physiological and psychological predictors of walking speed in older community-dwelling people. Gerontology 51(6):390–395. doi:10.1159/000088703

    Article  Google Scholar 

  • Tombaugh TN (2004) Trail Making Test A and B: normative data stratified by age and education. Arch Clin Neuropsychol 19(2):203–214

    Article  Google Scholar 

  • Wahl H-W, Schmitt M, Danner D, Coppin A (2010) Is the emergence of functional ability decline in early old age related to change in speed of cognitive processing and also to change in personality? J Aging Health 22(6):691–712. doi:10.1177/0898264310372410

    Article  Google Scholar 

  • Ware JE, Sherbourne CD (1992) The MOS 36-item short-form health survey (SF-36): I. Conceptual framework and item selection. Med Care 30(6):473–483. doi:10.1097/00005650-199206000-00002

    Article  Google Scholar 

  • Webber SC, Porter MM, Menec VH (2010) Mobility in older adults: a comprehensive framework. Gerontologist 50(4):443–450. doi:10.1093/geront/gnq013

    Article  Google Scholar 

  • Weuve J, Kang JH, Manson JE, Breteler MMB, Ware JH, Grodstein F (2004) Physical activity including walking, and cognitive function in older women. JAMA. J Am Med Assoc 292(12):1454–1461

    Article  Google Scholar 

  • Wilson RS, Barnes LL, Bennett DA (2003) Assessment of lifetime participation in cognitively stimulating activities. J Clin Exp Neuropsychol 25(5):634–642

    Article  Google Scholar 

  • Wood KM, Edwards JD, Clay OJ, Wadley VG, Roenker DL, Ball KK (2005) Sensory and cognitive factors influencing functional ability in older adults. Gerontology 51(2):131–141

    Article  Google Scholar 

  • Yaffe K, Barnes D, Nevitt M, Lui L-Y, Covinsky K (2001) A prospective study of physical activity and cognitive decline in elderly women: women who walk. Arch Intern Med 161(14):1703–1708. doi:10.1001/archinte.161.14.1703

    Article  Google Scholar 

Download references

Acknowledgments

The SenTra Study was supported by the German Research Foundation from 2008 and 2011 through a grant to Hans-Werner Wahl (WA809/11-1). We would like to thank our Israeli and German research partners from geography, psychiatry, and social work for their excellent cooperation and support. Heike Hercher provided the expert rating for distinguishing cognitively and physically demanding activities in her Master’s thesis in Psychology. In addition, we would like to thank Katharina Hager, Heike Hercher, Hannah Schmidt-Friderichs, and Johanna Martinez-Slebi, Elke Voss and Florian Wernicke for outstanding support in collecting and processing the data of the project. We are also very thankful to the older adults who graciously participated in the study.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Markus Wettstein.

Additional information

Responsible editor: D. J. H. Deeg.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Wettstein, M., Wahl, HW. & Diehl, M.K. A multidimensional view of out-of-home behaviors in cognitively unimpaired older adults: examining differential effects of socio-demographic, cognitive, and health-related predictors. Eur J Ageing 11, 141–153 (2014). https://doi.org/10.1007/s10433-013-0292-6

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10433-013-0292-6

Keywords

Navigation