Challenges and opportunity in mobility among older adults - key determinant identification
Jazyk angličtina Země Velká Británie, Anglie Médium electronic
Typ dokumentu časopisecké články, práce podpořená grantem, přehledy
PubMed
37474928
PubMed Central
PMC10360303
DOI
10.1186/s12877-023-04106-7
PII: 10.1186/s12877-023-04106-7
Knihovny.cz E-zdroje
- Klíčová slova
- Determinants, Financial aspects, Mobility, Older adults, Technological solutions,
- MeSH
- chůze * MeSH
- cvičení MeSH
- databáze faktografické MeSH
- kvalita života * MeSH
- lidé MeSH
- senioři MeSH
- tělesná výkonnost MeSH
- Check Tag
- lidé MeSH
- senioři MeSH
- Publikační typ
- časopisecké články MeSH
- práce podpořená grantem MeSH
- přehledy MeSH
BACKGROUND: Attention is focused on the health and physical fitness of older adults due to their increasing age. Maintaining physical abilities, including safe walking and movement, significantly contributes to the perception of health in old age. One of the early signs of declining fitness in older adults is limited mobility. Approximately one third of 70-year-olds and most 80-year-olds report restrictions on mobility in their apartments and immediate surroundings. Restriction or loss of mobility is a complex multifactorial process, which makes older adults prone to falls, injuries, and hospitalizations and worsens their quality of life while increasing overall mortality. OBJECTIVE: The objective of the study is to identify the factors that have had a significant impact on mobility in recent years and currently, and to identify gaps in our understanding of these factors. The study aims to highlight areas where further research is needed and where new and effective solutions are required. METHODS: The PRISMA methodology was used to conduct a scoping review in the Scopus and Web of Science databases. Papers published from 2007 to 2021 were searched in November 2021. Of these, 52 papers were selected from the initial 788 outputs for the final analysis. RESULTS: The final selected papers were analyzed, and the key determinants were found to be environmental, physical, cognitive, and psychosocial, which confirms the findings of previous studies. One new determinant is technological. New and effective solutions lie in understanding the interactions between different determinants of mobility, addressing environmental factors, and exploring opportunities in the context of emerging technologies, such as the integration of smart home technologies, design of accessible and age-friendly public spaces, development of policies and regulations, and exploration of innovative financing models to support the integration of assistive technologies into the lives of seniors. CONCLUSION: For an effective and comprehensive solution to support senior mobility, the determinants cannot be solved separately. Physical, cognitive, psychosocial, and technological determinants can often be perceived as the cause/motivation for mobility. Further research on these determinants can help to arrive at solutions for environmental determinants, which, in turn, will help improve mobility. Future studies should investigate financial aspects, especially since many technological solutions are expensive and not commonly available, which limits their use.
Zobrazit více v PubMed
Burlando C, Cusano I. Growing old and keep mobile in Italy. Active ageing and the importance of urban mobility planning strategies. Tema J Land Use. 2018:43–52. Mobility and Environment.
National Institute on Aging. Maintaining mobility and preventing disability are key to living independently as we age. 2020; Available from: https://www.nia.nih.gov/news/maintaining-mobility-and-preventing-disability-are-key-living-independently-we-age#.
World Health Organization. WHO Global Report on Falls Prevention in Older Age. 2007; Available from: https://extranet.who.int/agefriendlyworld/wp-content/uploads/2014/06/WHo-Global-report-on-falls-prevention-in-older-age.pdf.
World Health Organization. Global age-friendly cities: a guide. Feuille de route pour des ‘villes-amies’ des ainés. 2007; Available from: https://apps.who.int/iris/handle/10665/43755 [cited 3 Feb 2023].
How to deal with competing access needs. Independence Australia. 2020; Available from: https://www.independenceaustralia.com.au/tips-and-advice/competing-access-needs-tips/.
European Comission. Employment, Social Affairs & Inclusion. Available from: https://ec.europa.eu/social/main.jsp?catId=1202.
Johnson J, Rodriguez MA, Al SS. Life-space mobility in the elderly: current perspectives. CIA. 2020;15:1665–1674. doi: 10.2147/CIA.S196944. PubMed DOI PMC
Porter AL, Roessner JD, Jin XY, Newman NC. Measuring national ‘emerging technology’ capabilities. Sci and Pub Pol. 2002;29(3):189–200. doi: 10.3152/147154302781781001. DOI
Cozzens S, Gatchair S, Kang J, Kim KS, Lee HJ, Ordóñez G, et al. Emerging technologies: quantitative identification and measurement. Technol Anal Strateg Manag. 2010;22(3):361–376. doi: 10.1080/09537321003647396. DOI
Smalheiser NR. Predicting emerging technologies with the aid of text-based data mining: the micro approach. Technovation. 2001;21(10):689–693. doi: 10.1016/S0166-4972(01)00048-7. DOI
Moher D, Liberati A, Tetzlaff J, Altman DG, The PRISMA Group Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. PLoS Med. 2009;6(7):97. doi: 10.1371/journal.pmed.1000097. PubMed DOI PMC
Leung XY, Sun J, Bai B. Bibliometrics of social media research: a co-citation and co-word analysis. Int J Hosp Manag. 2017;66:35–45. doi: 10.1016/j.ijhm.2017.06.012. DOI
Rodríguez-Bolívar MP, Alcaide-Muñoz L, Cobo MJ. Analyzing the scientific evolution and impact of e-Participation research in JCR journals using science mapping. Int J Inf Manage. 2018;40:111–119. doi: 10.1016/j.ijinfomgt.2017.12.011. DOI
Bowling A, Banister D, Sutton S, Evans O, Windsor J. A multidimensional model of the quality of life in older age. Aging Ment Health. 2002;6(4):355–371. doi: 10.1080/1360786021000006983. PubMed DOI
European Council, Council of the European Union. Accessibility to products and services for disabled and elderly people. Available from: https://www.consilium.europa.eu/en/policies/accessibility-goods-services/.
Webber SC, Porter MM, Menec VH. Mobility in older adults: a comprehensive framework. Gerontologist. 2010;50(4):443–450. doi: 10.1093/geront/gnq013. PubMed DOI
Cao X (Jason), Mokhtarian PL, Handy SL. Neighborhood design and the accessibility of the elderly: an empirical analysis in Northern California. Int J Sustain Transp. 2010;4(6):347–71. doi: 10.1080/15568310903145212. DOI
Lyubomirsky S. The how of happiness: a practical approach to getting the life you want. Paperback edition. 2010. p. 373.
Kafková MP, Vidovićová L, Wija P. Older Adults and civic engagement in rural areas of the Czech Republic. Eur Countryside. 2018;10(2):247–262. doi: 10.2478/euco-2018-0015. DOI
Tiran J, Lakner M, Drobne S. Modelling walking accessibility: a case study of Ljubljana. Slovenia Moravian Geograph Rep. 2019;27(4):194–206. doi: 10.2478/mgr-2019-0015. DOI
Hemingway A, Jack E. Reducing social isolation and promoting well being in older people. Qual Ageing Older Adults. 2013;14(1):25–35. doi: 10.1108/14717791311311085. DOI
Umberson D, Karas Montez J. Social relationships and health: a flashpoint for health policy. J Health Soc Behav. 2010;51(1):S54–66. doi: 10.1177/0022146510383501. PubMed DOI PMC
Schrempft S, Jackowska M, Hamer M, Steptoe A. Associations between social isolation, loneliness, and objective physical activity in older men and women. BMC Public Health. 2019;19(1):74. doi: 10.1186/s12889-019-6424-y. PubMed DOI PMC
Hwang TJ, Rabheru K, Peisah C, Reichman W, Ikeda M. Loneliness and social isolation during the COVID-19 pandemic. Int Psychogeriatr. 2020;32(10):1217–1220. doi: 10.1017/S1041610220000988. PubMed DOI PMC
Geurs KT. Accessibility, land use and transport: accessibility evaluation of land-use and transport developments and policy strategies. 2006. Available from: http://igitur-archive.library.uu.nl/dissertations/2006-0613-200112/full.pdf [cited 16 Jan 2022].
Sloan CD, Nordsborg RB, Jacquez GM, Raaschou-Nielsen O, Meliker JR. Space-time analysis of testicular cancer clusters using residential histories: a case-control study in Denmark. PLoS One. 2015;10:285. doi: 10.1371/journal.pone.0120285. PubMed DOI PMC
Benenson I, Martens K, Rofé Y, Kwartler A. Public transport versus private car GIS-based estimation of accessibility applied to the Tel Aviv metropolitan area. Ann Reg Sci. 2011;47(3):499–515. doi: 10.1007/s00168-010-0392-6. DOI
Shrestha BP, Millonig A, Hounsell NB, McDonald M. Review of public transport needs of older people in european context. Popul Ageing. 2017;10(4):343–361. doi: 10.1007/s12062-016-9168-9. PubMed DOI PMC
Elsy P. Elderly care in the society 5.0 and kaigo rishoku in Japanese hyper-ageing society. Indones J Commun Stud. 2020;4(2):435. doi: 10.25139/jsk.v4i2.2448. DOI
Fraade-Blanar L, Larco N, Best R, Swift T, Blumenthal MS, AARP Public Policy Institute. Older Adults, New Mobility, and Automated Vehicles. Washington, DC: AARP Public Policy Institute; 2021. Available from: https://www.aarp.org/ppi/info-2021/older-adults-new-mobility-and-automated-vehicles.html. [cited 13 Jan 2022].
Arksey H, O’Malley L. Scoping studies: towards a methodological framework. Int J Soc Res Methodol. 2005;8:19–32. doi: 10.1080/1364557032000119616. DOI
Fagerholm N, Eilola S, Arki V. Outdoor recreation and nature’s contribution to well-being in a pandemic situation - Case Turku, Finland. Urban For Urban Green. 2021;64:127257. doi: 10.1016/j.ufug.2021.127257. PubMed DOI PMC
Isaacson M, Tripathi A, Samanta T, D’Ambrosio L, Coughlin J. Giving voice to the environment as the silent partner in aging: examining the moderating roles of gender and family structure in older adult wellbeing. Int J Environ Res Public Health. 2020;17:4373. doi: 10.3390/ijerph17124373. PubMed DOI PMC
Tsai LT, Portegijs E, Rantakokko M, Viljanen A, Saajanaho M, Eronen J, et al. The association between objectively measured physical activity and life-space mobility among older people. Scand J Med Sci Sports. 2015;25:e368–73. doi: 10.1111/sms.12337. PubMed DOI
Saajanaho M, Rantakokko M, Portegijs E, Tormakangas T, Eronen J, Tsai LT, et al. Personal goals and changes in life-space mobility among older people. Prevent Med. 2015;81:163–7. doi: 10.1016/j.ypmed.2015.08.015. PubMed DOI
Shoval N, Wahl HW, Auslander G, Isaacson M, Oswald F, Edry T, et al. Use of the global positioning system to measure the out-of-home mobility of older adults with differing cognitive functioning. Ageing Soc. 2011;31:849–69. doi: 10.1017/S0144686X10001455. DOI
Garfield E. Citation indexes for science: a new dimension in documentation through association of ideas. Science. 1955;122(3159):108–111. doi: 10.1126/science.122.3159.108. PubMed DOI
Daim TU, Rueda G, Martin H, Gerdsri P. Forecasting emerging technologies: use of bibliometrics and patent analysis. Technol Forecast Soc Chang. 2006;73(8):981–1012. doi: 10.1016/j.techfore.2006.04.004. DOI
van Eck NJ, Waltman L. Software survey: VOSviewer, a computer program for bibliometric mapping. Scientometrics. 2010;84(2):523–538. doi: 10.1007/s11192-009-0146-3. PubMed DOI PMC
Wu D, Gao X, Xie Z, Xu Z. Understanding the unmet needs among community-dwelling disabled older people from a linkage perspective. Int J Environ Res Public Health. 2021;18:389. doi: 10.3390/ijerph18020389. PubMed DOI PMC
Portegijs E, Rantakokko M, Viljanen A, Sipila S, Rantanen T. Identification of older people at risk of ADL disability using the life-space assessment: a longitudinal cohort study. J Am Med Dir Assoc. 2016;17:410–4. doi: 10.1016/j.jamda.2015.12.010. PubMed DOI
Health Nutrition And Population Statistics. The World Bank; 2022. Available from: https://datacatalog.worldbank.org/search/dataset/0037652/Health-Nutrition-and-Population-Statistics?showIndicators=true [cited 4 Jul 2022].
Bornmann L, Haunschild R, Hug SE. Visualizing the context of citations referencing papers published by Eugene Garfield: a new type of keyword co-occurrence analysis. Scientometrics. 2018;114(2):427–437. doi: 10.1007/s11192-017-2591-8. PubMed DOI PMC
van Eck NJ, Waltman L. Visualizing bibliometric networks. measuring scholarly impact. 2014:285–320.
Sartori AC, Wadley VG, Clay OJ, Parisi JM, Rebok GW, Crowe M. The relationship between cognitive function and life space: the potential role of personal control beliefs. Psychol Aging. 2012;27:364–74. doi: 10.1037/a0025212. PubMed DOI PMC
Bayat S, Naglie G, Rapoport MJ, Stasiulis E, Widener MJ, Mihailidis A. A GPS-based framework for understanding outdoor mobility patterns of older adults with dementia: an exploratory study. Gerontology. 2022;68(1):106–20. 10.1159/000515391. Epub 2021 Apr 23. PubMed
Giannouli E, Bock O, Zijlstra W. Cognitive functioning is more closely related to real-life mobility than to laboratory-based mobility parameters. Eur J Ageing. 2018;15:57–65 . doi: 10.1007/s10433-017-0434-3. PubMed DOI PMC
DiSalvio NL, Rosano C, Aizenstein HJ, Redfern MS, Furman JM, Jennings JR, et al. Gray matter regions associated with functional mobility in community-dwelling older adults. J Am Geriatr Soc. 2020;68:1023–8. doi: 10.1111/jgs.16309. PubMed DOI PMC
Byles JE, Leigh L, Vo K, Forder P, Curryer C. Life space and mental health: a study of older community-dwelling persons in Australia. Aging Mental Health. 2015;19:98–106. doi: 10.1080/13607863.2014.917607. PubMed DOI
Roberts H, Helbich M. Multiple environmental exposures along daily mobility paths and depressive symptoms: a smartphone-based tracking study. Environ Int. 2021;156:106635. doi: 10.1016/j.envint.2021.106635. PubMed DOI
Schwenk M, Mohler J, Wendel C, D’Huyvetter K, Fain M, Taylor-Piliae R, et al. Wearable sensor-based in-home assessment of gait, balance, and physical activity for discrimination of frailty status: baseline results of the arizona frailty cohort study. Gerontology. 2015;61:258–67. doi: 10.1159/000369095. PubMed DOI PMC
Ullrich P, Werner C, Eckert T, Bongartz M, Kiss R, Feisst M, et al. Cut-off for the life-space assessment in persons with cognitive impairment. Aging Clin Exp Res. 2019;31:1331–5. doi: 10.1007/s40520-018-1062-2. PubMed DOI
Ngui AN, Apparicio P, Fleury MJ, Gregoire JP, Moisan J, Lesage A, et al. Disentangling the influence of neighborhood and individual characteristics on early residential mobility among newly diagnosed patients with schizophrenia: a multilevel analysis. Soc Psychiatry Psychiatr Epidemiol. 2014;49:1569–78. doi: 10.1007/s00127-014-0883-3. PubMed DOI
Paez A, Mercado RG, Farber S, Morency C, Roorda M. Accessibility to health care facilities in Montreal Island: an application of relative accessibility indicators from the perspective of senior and non-senior residents. Int J Health Geogr. 2010;9:1–5. doi: 10.1186/1476-072X-9-52. PubMed DOI PMC
Chung J, Ozkaynak M, Demiris G. Examining daily activity routines of older adults using workflow. J Biomed Inform. 2017;71:82–90. doi: 10.1016/j.jbi.2017.05.010. PubMed DOI
Shah RC, Maitra K, Barnes LL, James BD, Leurgans S, Bennett DA. Relation of driving status to incident life space constriction in community-dwelling older persons: a prospective cohort study. J Gerontol A Biol Sci Med Sci. 2012;67:984–9. doi: 10.1093/gerona/gls133. PubMed DOI PMC
Mercado R, Paez A. Determinants of distance traveled with a focus on the elderly: a multilevel analysis in the Hamilton CMA, Canada. J Transport Geogr. 2009;17:65–76. doi: 10.1016/j.jtrangeo.2008.04.012. DOI
Portegijs E, Rantakokko M, Mikkola TM, Viljanen A, Rantanen T. Association between physical performance and sense of autonomy in outdoor activities and life-space mobility in community-dwelling older people. J Am Geriatr Soc. 2014;62:615–21. doi: 10.1111/jgs.12763. PubMed DOI
Barnes LL, Wilson RS, Bienias JL, de Leon CFM, Kim HJN, Buchman AS, et al. Correlates of life space in a volunteer cohort of older adults. Exp Aging Res. 2007;33:77–93. doi: 10.1080/03610730601006420. PubMed DOI
Choi M, O’Connor ML, Mingo CA, Mezuk B. Gender and racial disparities in life-space constriction among older adults. Gerontologist. 2016;56:1153–60. doi: 10.1093/geront/gnv061. PubMed DOI PMC
Rantakokko M, Portegijs E, Viljanen A, Iwarsson S, Kauppinen M, Rantanen T. Changes in life-space mobility and quality of life among community-dwelling older people: a 2-year follow-up study. Qual Life Res. 2016;25:1189–97. doi: 10.1007/s11136-015-1137-x. PubMed DOI
Hinrichs T, Keskinen KE, Pavelka B, Eronen J, Schmidt-Trucksass A, Rantanen T, et al. Perception of parks and trails as mobility facilitators and transportation walking in older adults: a study using digital geographical maps. Aging Clin Exp Res. 2019;31:673–83. doi: 10.1007/s40520-018-01115-0. PubMed DOI
Chung J, Boyle J, Wheeler DC. Relationship between life-space mobility and health characteristics in older adults using global positioning system watches. J Appl Gerontol. 2022;41(4):1186–95. 10.1177/07334648211054834. Epub 2021 Oct 31. PubMed PMC
Noh SH, Joh CH. Analysis of elderly travel patterns in Seoul metropolitan area, South Korea, through sequence alignment and motif search. Transp Res Rec. 2012;2323:25–34. doi: 10.3141/2323-04. DOI
Bruechert T, Hasselder P, Quentin P, Bolte G. Walking for transport among older adults: a cross-sectional study on the role of the built environment in less densely populated areas in Northern Germany. Int J Environ Res Public Health. 2020;17:9479. doi: 10.3390/ijerph17249479. PubMed DOI PMC
Perchoux C, Kestens Y, Thomas F, Hulst AV, Thierry B, Chaix B. Assessing patterns of spatial behavior in health studies: their socio-demographic determinants and associations with transportation modes (the RECORD Cohort Study) Soc Sci Med. 2014;119:64–73. doi: 10.1016/j.socscimed.2014.07.026. PubMed DOI
Hasanzadeh K, Kytta M, Lilius J, Ramezani S, Rinne T. Centricity and multi-locality of activity spaces: the varying ways young and old adults use neighborhoods and extra-neighborhood spaces in Helsinki Metropolitan area. Cities. 2021;110:103062. doi: 10.1016/j.cities.2020.103062. DOI
Lord S, Joerin F, Theriault M. Daily mobility of aging and elderly suburbanites: trips, aspirations and meanings of mobility. Can Geographer-Geographe Canadien. 2009;53:357–75. doi: 10.1111/j.1541-0064.2009.00269.x. DOI
Li KK, Yang DF. Identification of Key Building Environment Factors Affecting Walking Efficiency of the Elderly [影响老年人步行效能的关键性建成环境要素识别] Jiaotong Yunshu Xitong Gongcheng Yu Xinxi/J Transp SysT Eng Inform Technol. 2021;21(2):245–250.
Snih SA, Peek KM, Sawyer P, Markides KS, Allman RM, Ottenbacher KJ. Life-space mobility in mexican americans aged 75 and older. J Am Geriatr Soc. 2012;60(3):532–537. doi: 10.1111/j.1532-5415.2011.03822.x. PubMed DOI PMC
He SY, Cheung YHY, Tao S. Travel mobility and social participation among older people in a transit metropolis: a socio-spatial-temporal perspective. Transp Res Part A Policy Pract. 2018;118:608–26. doi: 10.1016/j.tra.2018.09.006. DOI
Fillekes MP, Giannouli E, Kim EK, Zijlstra W, Weibel R. Towards a comprehensive set of GPS-based indicators reflecting the multidimensional nature of daily mobility for applications in health and aging research. Int J Health Geogr. 2019;18:17. doi: 10.1186/s12942-019-0181-0. PubMed DOI PMC
Su R, Xiao J, McBride EC, Goulias KG. Understanding senior’s daily mobility patterns in California using human mobility motifs. J Transport Geogr. 2021;94:103117. doi: 10.1016/j.jtrangeo.2021.103117. DOI
Frantal B, Klapka P, Novakova E. When home becomes a cage: Daily activities, space-time constraints, isolation and the loneliness of older adults in urban environments. Moravian Geogr Rep. 2020;27:322–37. doi: 10.2478/mgr-2020-0024. DOI
Heatwole Shank KS. Fidelity and utility of GPS loggers as a tool for understanding community participation of older adults. Scand J Occup Ther. 2022;29(4):282–92. 10.1080/11038128.2021.1921841. Epub 2021 May 25. PubMed
Tao Z, Cheng Y. Modelling the spatial accessibility of the elderly to healthcare services in Beijing, China. Environ Planning B-Urban Anal City Sci. 2019;46:1132–47. doi: 10.1177/2399808318755145. DOI
Kramer C, Pfaffenbach C. Should I stay or should I go? Housing preferences upon retirement in Germany. J Housing Built Environ. 2016;31:239–56. doi: 10.1007/s10901-015-9454-5. DOI
Laatikainen TE, Haybatollahi M, Kytta M. Environmental, individual and personal goal influences on older adults’ walking in the Helsinki metropolitan area. Int J Environ Res Public Health. 2019;16:58. doi: 10.3390/ijerph16010058. PubMed DOI PMC
Loo BPY, Lam WWY, Mahendran R, Katagiri K. How is the neighborhood environment related to the health of seniors living in Hong Kong, Singapore, and Tokyo? Some insights for promoting aging in place. Ann Am Assoc Geographers. 2017;107:812–28.
Arentze T, Timmermans H, Jorritsma P, Kalter MJO, Schoemakers A. More gray hair - but for whom? Scenario-based simulations of elderly activity travel patterns in 2020. Transportation. 2008;35:613–27. doi: 10.1007/s11116-008-9170-z. DOI
Rosso AL, Tabb LP, Grubesic TH, Taylor JA, Michael YL. Neighborhood social capital and achieved mobility of older adults. J Aging Health. 2014;26:1301–19. doi: 10.1177/0898264314523447. PubMed DOI PMC
Phillips J, Walford N, Hockey A, Foreman N, Lewis M. Older people and outdoor environments: pedestrian anxieties and barriers in the use of familiar and unfamiliar spaces. Geoforum. 2013;47:113–24. doi: 10.1016/j.geoforum.2013.04.002. DOI
Sanchez M, Ambros A, Salmon M, Bhogadi S, Wilson RT, Kinra S, et al. Predictors of daily mobility of adults in Peri-Urban South India. Int J Environ Res Public Health. 2017;14:783. doi: 10.3390/ijerph14070783. PubMed DOI PMC
Grove H. Ageing as well as you can in place: applying a geographical lens to the capability approach. Soc Sci Med. 2021;288:113525. doi: 10.1016/j.socscimed.2020.113525. PubMed DOI
Negron-Poblete P, et Lord S. Outil MAPPA (Marchabilité pour les personnes âgées). Dans Cahiers de géographie du Québec, Marchabilité des environnements urbains autour des résidences pour personnes âgées de la région de Montréal : application de l’audit MAPPA. 2014;58(164):242–3. Repéré à https://www.erudit.org/fr/revues/cgq/2014-v58-n164-cgq01924/1031168ar.pdf.
Shoval N, Auslander G, Cohen-Shalom K, Isaacson M, Landau R, Heinik J. What can we learn about the mobility of the elderly in the GPS era? J Transp Geogr. 2010;18(5):603–612. doi: 10.1016/j.jtrangeo.2010.03.012. DOI
Tokey AI. Spatial association of mobility and COVID-19 infection rate in the USA: a county-level study using mobile phone location data. J Transport Health. 2021;22:101135. doi: 10.1016/j.jth.2021.101135. PubMed DOI PMC
Portegijs E, Keskinen KE, Tuomola EM, Hinrichs T, Saajanaho M, Rantanen T. Older adults’ activity destinations before and during COVID-19 restrictions: from a variety of activities to mostly physical exercise close to home. Health Place. 2021;68:102533. doi: 10.1016/j.healthplace.2021.102533. PubMed DOI PMC
Rantanen T, Eronen J, Kauppinen M, Kokko K, Sanaslahti S, Kajan N, et al. Life-space mobility and active aging as factors underlying quality of life among older people before and during COVID-19 lockdown in Finland—a longitudinal study. J Gerontol A Biol Sci Med Sci. 2021;76(3):e60–7. doi: 10.1093/gerona/glaa274. PubMed DOI PMC
Taylor JK, Buchan IE, van der Veer SN. Assessing life-space mobility for a more holistic view on wellbeing in geriatric research and clinical practice. Aging Clin Exp Res. 2019;31(4):439–445. doi: 10.1007/s40520-018-0999-5. PubMed DOI PMC
Peel C, et al. Assessing mobility in older adults: the UAB Study of Aging Life-Space Assessment. Physical Therapy. 2005;85(10):1008–19. PubMed
Sayin Kasar K, Karaman E. Life in lockdown: Social isolation, loneliness and quality of life in the elderly during the COVID-19 pandemic: a scoping review. Geriatr Nurs. 2021;42(5):1222–1229. doi: 10.1016/j.gerinurse.2021.03.010. PubMed DOI PMC
Saunders TJ, McIsaac T, Douillette K, Gaulton N, Hunter S, Rhodes RE, et al. Sedentary behaviour and health in adults: an overview of systematic reviews. Appl Physiol Nutr Metab. 2020;45(10 (Suppl. 2)):S197–217. doi: 10.1139/apnm-2020-0272. PubMed DOI
Risser R, Haindl G, Ståhl A. Barriers to senior citizens’ outdoor mobility in Europe. Eur J Ageing. 2010;7(2):69–80. doi: 10.1007/s10433-010-0146-4. PubMed DOI PMC
Henning-Smith C, Moscovice I, Kozhimannil K. Differences in social isolation and its relationship to health by rurality. J Rural Health. 2019;35(4):540–549. doi: 10.1111/jrh.12344. PubMed DOI
Haustein S, Siren A. Older people’s mobility: segments, factors. Trends Transport Rev. 2015;35(4):466–487. doi: 10.1080/01441647.2015.1017867. DOI
Adlakha D, Krishna M, Woolrych R, Ellis G. Neighbourhood supports for active ageing in Urban India. Psychol Dev Soc. 2020;32(2):254–277.
Elsawahli H, Ahmad F, Shah AA. New urbanism design principles and young elderly active lifestyle: an analysis of TTDI neighbourhood in Kuala Lumpur, Malaysia. Urban Design Int. 2014;19(4):249–258. doi: 10.1057/udi.2013.22. DOI
Nelson A, Powell-Cope G, Gavin-Dreschnack D, Quigley P, Bulat T, Baptiste AS, et al. Technology to promote safe mobility in the elderly. Nurs Clin North Am. 2004;39(3):649–671. doi: 10.1016/j.cnur.2004.05.001. PubMed DOI
Kato K, Yoshimi T, Tsuchimoto S, Mizuguchi N, Aimoto K, Itoh N, et al. Identification of care tasks for the use of wearable transfer support robots – an observational study at nursing facilities using robots on a daily basis. BMC Health Serv Res. 2021;21(1):652. doi: 10.1186/s12913-021-06639-2. PubMed DOI PMC
Reyer M, Fina S, Siedentop S, Schlicht W. Walkability is only part of the story: walking for transportation in Stuttgart, Germany. IJERPH. 2014;11(6):5849–5865. doi: 10.3390/ijerph110605849. PubMed DOI PMC