Associations Between Latent Classes of Perceived Neighborhood Destination Accessibility and Walking Behaviors in Older Adults of a Low-Density and a High-Density City

in Journal of Aging and Physical Activity
Restricted access

Purchase article

USD $24.95

Student 1 year subscription

USD $76.00

1 year subscription

USD $101.00

Student 2 year subscription

USD $144.00

2 year subscription

USD $189.00

To examine associations between perceived destination accessibility within different distances from home and self-reported overall amounts of walking for different purposes among older adults (aged ≥ 65 years) in Brisbane, Australia (N = 793) and Hong Kong, China (N = 484). Perceived neighborhood destination accessibility types were derived from latent class analysis using comparable measures of perceived distance to 12 destinations from epidemiological studies in the two cities. Associations of perceived destination accessibility with measures of within-neighborhood walking were also estimated in Hong Kong participants. Better perceived destination accessibility was positively associated with the likelihood of walking in Brisbane participants only. Perceived destination accessibility within a short distance from home (5-min walk) was negatively related to the amount of within-neighborhood walking for transport in Hong Kong residents who walked. Our findings suggest that providing moderate-to-high, but not extreme, levels of destination accessibility may be optimal for the promotion of walking in older community dwellers.

Boakye-Dankwa, Barnett, and Cerin are with the Mary MacKillop Institute for Health Research, Australian Catholic University, Melbourne, Victoria, Australia. Pachana is with the School of Psychology, The University of Queensland, St. Lucia, Queensland, Australia. Turrell is with the Centre for Population Health Research, Deakin University, Burwood, Victoria, Australia. Cerin is also with the School of Public Health, The University of Hong Kong, Hong Kong, Hong Kong SAR, China; and Baker IDI Heart and Diabetes Institute, Melbourne, Victoria, Australia.

Cerin (Ester.Cerin@acu.edu.au; ecerin@hk.hk) is corresponding author.
Journal of Aging and Physical Activity
Article Sections
References
  • 2018 Physical Activity Guidelines Advisory Committee. (2018). 2018 Physical Activity Guidelines Advisory Committee scientific report. Washington, DC: U.S. Department of Health and Human Services.

    • Search Google Scholar
    • Export Citation
  • AdamsM.A.DingD.SallisJ.F.BowlesH.R.AinsworthB.E.BergmanP.BaumanA. (2013). Patterns of neighborhood environment attributes related to physical activity across 11 countries: A latent class analysis. International Journal of Behavioral Nutrition and Physical Activity 1034. PubMed ID: 23497187 doi:10.1186/1479-5868-10-34

    • Crossref
    • Search Google Scholar
    • Export Citation
  • AmireaultS.BaierJ.M. & SpencerJ.R. (2019). Physical activity preferences among older adults: A systematic review. Journal of Aging and Physical Activity27(1) 128139. doi:10.1123/japa.2017-0234

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Australian Bureau of Statistics. (2011). Technical paper: Socio-Economic Indexes for Areas (SEIFA). Canberra, Australia: Australian Bureau of Statistics.

    • Search Google Scholar
    • Export Citation
  • Australian Bureau of Statistics. (2014). Population by age and sex regions of Australia. Retrieved from http://www.abs.gov.au/ausstats/abs@.nsf/Previousproducts/3235.0Main%20Features252014?opendocument&tabname=Summary&prodno=3235.0&issue=2014&num=&view=

    • Search Google Scholar
    • Export Citation
  • Australian Bureau of Statistics. (2015a). Greater Brisbane (BCCSA) (3GBRI): Queensland. Retrieved from http://stat.abs.gov.au/itt/r.jsp?RegionSummary&region=3GBRI&dataset=ABS_REGIONAL_ASGS&geoconcept=REGION&datasetASGS=ABS_REGIONAL_ASGS&datasetLGA=ABS_NRP9_LGA&regionLGA=REGION&regionASGS=REGION

    • Search Google Scholar
    • Export Citation
  • Australian Bureau of Statistics. (2015b). Regional population growth: Queensland state summary Australia 2014–15. Retrieved from http://www.abs.gov.au/ausstats/abs@.nsf/Previousproducts/3218.0Main%20Features302014-15?opendocument&tabname=Summary& prodno=3218.0&issue=2014-15&num=&view=

    • Search Google Scholar
    • Export Citation
  • BarnettA.CerinE.CheungM.C. & ChanW.M. (2015). An in-depth pilot study on patterns, destinations, and purposes of walking in Hong Kong older adults. Journal of Aging and Physical Activity 23144152. PubMed ID: 24589509 doi:10.1123/JAPA.2013-0026

    • Crossref
    • Search Google Scholar
    • Export Citation
  • BarnettA.ZhangC.J.P.JohnstonJ.M. & CerinE. (2018). Relationships between the neighborhood environment and depression in older adults: A systematic review and meta-analysis. International Psychogeriatrics 3011531176. PubMed ID: 29223174 doi:10.1017/S104161021700271X

    • Crossref
    • Search Google Scholar
    • Export Citation
  • BarnettD.W.BarnettA.NathanA.Van CauwenbergJ. & CerinE. (2017). Built environmental correlates of older adults’ total physical activity and walking: A systematic review and meta-analysis. International Journal of Behavioral Nutrition and Physical Activity 14103. PubMed ID: 28784183 doi:10.1186/s12966-017-0558-z

    • Crossref
    • Search Google Scholar
    • Export Citation
  • BeardJ.R.BiggsS.BloomD.E.FriedL.P.HoganP.KalacheA. & OlshanskyS.J. (Eds.). (2011). Global population ageing: Peril or promise. Geneva, Switzerland: World Economic Forum.

    • Search Google Scholar
    • Export Citation
  • BergmanL.R. & MagnussonD. (1997). A person-oriented approach in research on developmental psychopathology. Development and Psychopathology 9(02) 291319. doi:10.1017/S095457949700206X

    • Crossref
    • Search Google Scholar
    • Export Citation
  • BestJ.R.RosanoC.AizensteinH.J.TianQ.BoudreauR.M.AyonayonH.N.Liu-AmbroseT. (2017). Long-term changes in time spent walking and subsequent cognitive and structural brain changes in older adults. Neurobiology of Aging 57153161. PubMed ID: 28648916 doi:10.1016/j.neurobiolaging.2017.05.023

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Boakye-DankwaE.NathanA.BarnettA.BusijaL.LeeR.S.Y.PachanaN.CerinE. (2019). Walking behaviour and patterns of perceived access to neighbourhood destinations in older adults from a low-density (Brisbane, Australia) and an ultra-dense city (Hong Kong, China). Cities 842333. doi:10.1016/j.cities.2018.07.002

    • Crossref
    • Search Google Scholar
    • Export Citation
  • BoisjolyG. & El-GeneidyA.M. (2017a). How to get there? A critical assessment of accessibility objectives and indicators in metropolitan transportation plans. Transport Policy 553850. doi:10.1016/j.tranpol.2016.12.011

    • Crossref
    • Search Google Scholar
    • Export Citation
  • BoisjolyG. & El-GeneidyA.M. (2017b). The insider: A planners’ perspective on accessibility. Journal of Transport Geography 643343. doi:10.1016/j.jtrangeo.2017.08.006

    • Crossref
    • Search Google Scholar
    • Export Citation
  • BowlingA. (2005). Mode of questionnaire administration can have serious effects on data quality. Journal of Public Health 27281291. PubMed ID: 15870099 doi:10.1093/pubmed/fdi031

    • Crossref
    • Search Google Scholar
    • Export Citation
  • BurkeM. & BrownA.L. (2007). Distances people walk for transport. Road & Transport Research 16(3) 16.

  • BurtonN.W.HaynesM.WilsonL.A.Giles-CortiB.OldenburgB.F.BrownW.J.TurrellG. (2009). HABITAT: A longitudinal multilevel study of physical activity change in mid-aged adults. BMC Public Health 976. doi:10.1186/1471-2458-9-76

    • Crossref
    • Search Google Scholar
    • Export Citation
  • BuysL.SnowS.van MegenR & MillerE. (2012). Transportation behaviours of older adults: an investigation into car dependency in urban Australia. Australasian Journal on Ageing 31181186. PubMed ID: 22950590 doi:10.1111/j.1741-6612.2011.00567.x

    • Crossref
    • Search Google Scholar
    • Export Citation
  • CerinE.BarnettA.SitC.H.CheungM.C.LeeL.C.HoS.Y. & ChanW.M. (2011). Measuring walking within and outside the neighborhood in Chinese elders: Reliability and validity. BMC Public Health 11851. PubMed ID: 22070768 doi:10.1186/1471-2458-11-851

    • Crossref
    • Search Google Scholar
    • Export Citation
  • CerinE.LeeK.Y.BarnettA.SitC.H.CheungM.C.ChanW.M. & JohnstonJ.M. (2013). Walking for transportation in Hong Kong Chinese urban elders: A cross-sectional study on what destinations matter and when. International Journal of Behavioral Nutrition and Physical Activity 1078. PubMed ID: 23782627 doi:10.1186/1479-5868-10-78

    • Crossref
    • Search Google Scholar
    • Export Citation
  • CerinE.MelleckerR.MacfarlaneD.J.BarnettA.CheungM.C.SitC.H.P. & ChanW.M. (2013). Socioeconomic status, neighborhood characteristics, and walking within the neighborhood among older Hong Kong Chinese. Journal of Aging and Health 25(8) 14251444. PubMed ID: 24246302 doi:10.1177/0898264313510034

    • Crossref
    • Search Google Scholar
    • Export Citation
  • CerinE.NathanA.Van CauwenbergJ.BarnettD.W. & BarnettA. (2017). The neighbourhood physical environment and active travel in older adults: A systematic review and meta-analysis. International Journal of Behavioral Nutrition and Physical Activity 1415. PubMed ID: 28166790 doi:10.1186/s12966-017-0471-5

    • Crossref
    • Search Google Scholar
    • Export Citation
  • CerinE.SaelensB.E.SallisJ.F. & FrankL.D. (2006). Neighborhood Environment Walkability Scale: validity and development of a short form. Medicine & Science in Sports & Exercise 3816821691. PubMed ID: 16960531 doi:10.1249/01.mss.0000227639.83607.4d

    • Crossref
    • Search Google Scholar
    • Export Citation
  • CerinE.SitC.H.BarnettA.JohnstonJ.M.CheungM.C. & ChanW.M. (2014). Ageing in an ultra-dense metropolis: Perceived neighbourhood characteristics and utilitarian walking in Hong Kong elders. Public Health Nutrition 17225232. PubMed ID: 22906505 doi:10.1017/S1368980012003862

    • Crossref
    • Search Google Scholar
    • Export Citation
  • CerinE.SitC.H.CheungM.C.HoS.Y.LeeL.C. & ChanW.M. (2010). Reliable and valid NEWS for Chinese seniors: Measuring perceived neighborhood attributes related to walking. International Journal of Behavioral Nutrition and Physical Activity 784. PubMed ID: 21108800 doi:10.1186/1479-5868-7-84

    • Crossref
    • Search Google Scholar
    • Export Citation
  • ChudykA.M.WintersM.MoniruzzamanM.AsheM.C.GouldJ.S. & MckayH. (2015). Destinations matter: The association between where older adults live and their travel behavior. Journal of Transport & Health 25057. PubMed ID: 27104147 doi:10.1016/j.jth.2014.09.008

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Civil Engineering and Development Department Hong Kong Special Administrative Region. (2016). Hong Kong: The facts—New towns new development areas and urban developments. Retrieved from https://www.gov.hk/en/about/abouthk/factsheets/docs/towns%26urban_developments.pdf

    • Search Google Scholar
    • Export Citation
  • ClarkeP. & NieuwenhuijsenE.R. (2009). Environments for healthy ageing: A critical review. Maturitas 641419. PubMed ID: 19695800 doi:10.1016/j.maturitas.2009.07.011

    • Crossref
    • Search Google Scholar
    • Export Citation
  • CollinsL.M. & LanzaS.T. (2010). Latent class and latent transition analysis: With applications in the social behavioral and health sciences. Hoboken, NJ: Wiley.

    • Search Google Scholar
    • Export Citation
  • FloegelT.A.GiacobbiP.R.DzierzewskiJ.M.Aiken-MorganA.T.RobertsB.McCraeC.S.BumanM.P. (2015). Intervention markers of physical activity maintenance in older adults. American Journal of Health Behavior 39487499. PubMed ID: 26018097 doi:10.5993/AJHB.39.4.5

    • Crossref
    • Search Google Scholar
    • Export Citation
  • HaynesA.LindenM.D.RobeyE.NaylorL.H.AinslieP.N.CoxK.L.GreenD.J. (2018). Beneficial impacts of regular exercise on platelet function in sedentary older adults: Evidence from a randomized 6-mo walking trial. Journal of Applied Physiology 125401408. PubMed ID: 29648514 doi:10.1152/japplphysiol.00079.2018

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Higueras-FresnilloS.Guallar-CastillónP.Cabanas-SanchezV.BanegasJ.R.Rodríguez-ArtalejoF. & Martinez-GomezD. (2017). Changes in physical activity and cardiovascular mortality in older adults. Journal of Geriatric Cardiology 14280281. PubMed ID: 28663767 doi:10.11909/j.issn.1671-5411.2017.04.009

    • Search Google Scholar
    • Export Citation
  • HilbeJ.M. (2011). Negative binomial regression. New York, NY: Cambridge University Press.

  • KalacheA. & KickbuschI. (1997). A global strategy for healthy ageing. World Health 50(4) 45.

  • KerrJ.SallisJ.F.OwenN.De BourdeaudhuijI.CerinE.SugiyamaT.MitášJ. (2013). Advancing science and policy through a coordinated international study of physical activity and built environments: IPEN adult methods. Journal of Physical Activity and Health 10(4) 581601. PubMed ID: 22975776 doi:10.1123/jpah.10.4.581

    • Crossref
    • Search Google Scholar
    • Export Citation
  • KingT.L.BentleyR.J.ThorntonL.E. & KavanaghA.M. (2015). Does the presence and mix of destinations influence walking and physical activity? International Journal of Behavioral Nutrition and Physical Activity 12115. PubMed ID: 26376628 doi:10.1186/s12966-015-0279-0

    • Crossref
    • Search Google Scholar
    • Export Citation
  • KoohsariM.J.BadlandH.SugiyamaT.MavoaS.ChristianH. & Giles-CortiB. (2015). Mismatch between perceived and objectively measured land use mix and street connectivity: Associations with neighborhood walking. Journal of Urban Health 92242252. PubMed ID: 25539783 doi:10.1007/s11524-014-9928-x

    • Crossref
    • Search Google Scholar
    • Export Citation
  • LewisZ.H.MarkidesK.S.OttenbacherK.J. & Al SnihS. (2018). The impact of 10-year physical activity changes on 7-year mortality in older Mexican Americans. Journal of Physical Activity and Health 153039. PubMed ID: 28682651 doi:10.1123/jpah.2016-0454

    • Crossref
    • Search Google Scholar
    • Export Citation
  • MacfarlaneD.ChanA. & CerinE. (2011). Examining the validity and reliability of the Chinese version of the International Physical Activity Questionnaire, long form (IPAQ-LC). Public Health Nutrition 14443450. PubMed ID: 20939939 doi:10.1017/S1368980010002806

    • Crossref
    • Search Google Scholar
    • Export Citation
  • McCormackG.R.Giles-CortiB. & BulsaraM. (2008). The relationship between destination proximity, destination mix and physical activity behaviors. Preventive Medicine 463340. PubMed ID: 17481721 doi:10.1016/j.ypmed.2007.01.013

    • Crossref
    • Search Google Scholar
    • Export Citation
  • McDonaldK.HearstM.FarbakhshK.PatnodeC.ForsythA.SirardJ. & LytleL. (2012). Adolescent physical activity and the built environment: A latent class analysis approach. Health & Place 18191198. PubMed ID: 21975286 doi:10.1016/j.healthplace.2011.09.004

    • Crossref
    • Search Google Scholar
    • Export Citation
  • NathanA.PereiraG.FosterS.HooperP.SaarloosD. & Giles-CortiB. (2012). Access to commercial destinations within the neighbourhood and walking among Australian older adults. International Journal of Behavioral Nutrition and Physical Activity 9133. PubMed ID: 23164357 doi:10.1186/1479-5868-9-133

    • Crossref
    • Search Google Scholar
    • Export Citation
  • PatelA.V.HildebrandJ.S.LeachC.R.CampbellP.T.DoyleC.ShuvalK.GapsturS.M. (2018). Walking in relation to mortality in a large prospective cohort of older U.S. adults. American Journal of Preventive Medicine 541019. PubMed ID: 29056372 doi:10.1016/j.amepre.2017.08.019

    • Crossref
    • Search Google Scholar
    • Export Citation
  • RacheleJ.N.LearnihanV.BadlandH.M.MavoaS.TurrellG. & Giles-CortiB. (2017). Neighbourhood socioeconomic and transport disadvantage: The potential to reduce social inequities in health through transport. Journal of Transport & Health 7256263. doi:10.1016/j.jth.2017.09.002

    • Crossref
    • Search Google Scholar
    • Export Citation
  • SaelensB.E.SallisJ.F.BlackJ.B. & ChenD. (2003). Neighborhood-based differences in physical activity: An environment scale evaluation. American Journal of Public Health 93(9) 15521558. PubMed ID: 12948979 doi:10.2105/AJPH.93.9.1552

    • Crossref
    • Search Google Scholar
    • Export Citation
  • SallisJ.F.CerinE.ConwayT.L.AdamsM.A.FrankL.D.PrattM.CainK.L. (2016). Physical activity in relation to urban environments in 14 cities worldwide: A cross-sectional study. The Lancet 387(10034) 22072217. doi:10.1016/S0140-6736(15)01284-2

    • Crossref
    • Search Google Scholar
    • Export Citation
  • SallisJ.F.CerveroR.B.AscherW.HendersonK.A.KraftM.K. & KerrJ. (2006). An ecological approach to creating active living communities. Annual Review of Public Health 27297322. PubMed ID: 16533119 doi:10.1146/annurev.publhealth.27.021405.102100

    • Crossref
    • Search Google Scholar
    • Export Citation
  • SatarianoW.A.GuralnikJ.M.JacksonR.J.MarottoliR.A.PhelanE.A. & ProhaskaT.R. (2012). Mobility and aging: New directions for public health action. American Journal of Public Health 10215081515. PubMed ID: 22698013 doi:10.2105/AJPH.2011.300631

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Soares-MirandaL.SiscovickD.S.PsatyB.M.LongstrethW.T. & MozaffarianD. (2016). Physical activity and risk of coronary heart disease and stroke in older adults: The Cardiovascular Health Study. Circulation 133147155. PubMed ID: 26538582 doi:10.1161/CIRCULATIONAHA.115.018323

    • Crossref
    • Search Google Scholar
    • Export Citation
  • SugiyamaT.InoueS.CerinE.ShimomitsuT. & OwenN. (2015). Walkable area within which destinations matter: Differences between Australian and Japanese cities. Asia-Pacific Journal of Public Health 27(2) NP2757NP2763. PubMed ID: 23188878 doi:10.1177/1010539512466911

    • Crossref
    • Search Google Scholar
    • Export Citation
  • The Government of Hong Kong. (2015). Population profile of Hong Kong. Retrieved from http://www.legco.gov.hk/research-publications/english/1415in07-population-profile-of-hong-kong-20150416-e.pdf

    • Search Google Scholar
    • Export Citation
  • The Government of Hong Kong. (2016). Hong Kong 2016—The facts. Retrieved from https://www.gov.hk/en/about/abouthk/facts.htm

  • The Government of Hong Kong. (2017). Number of private cars per 100000 population. Retrieved from https://www.socialindicators.org.hk/en/indicators/environmental_quality/19.8

    • Search Google Scholar
    • Export Citation
  • TomataY.ZhangS.SugawaraY. & TsujiI. (2019). Impact of time spent walking on incident dementia in elderly Japanese. International Journal of Geriatric Psychiatry 34(1) 204209. doi:10.1002/gps5011

    • Crossref
    • Search Google Scholar
    • Export Citation
  • TownsendN.WickramasingheK.WilliamsJ.BhatnagarP. & RaynerM. (2015). Physical activity statistics 2015. London, UK: British Heart Foundation.

    • Search Google Scholar
    • Export Citation
  • Transport Department Hong Kong Special Administrative Region. (2014). Travel characteristics survey 2011: Final report. Retrieved from https://www.td.gov.hk/en/publications_and_press_releases/publications/free_publications/travel_characteristics_survey_2011_final_report/index.html

    • Search Google Scholar
    • Export Citation
  • Transportation Research Board. (2005). Does the built environment influence physical activity? Examining the evidence TRB Special Report 282. Washington, DC : Transportation Research Board (TRB).

    • Search Google Scholar
    • Export Citation
  • U.S. Department of Health and Human Services. (2015). Step it up! The surgeon general’s call to action to promote walking and walkable communities. Washington, DC: Author.

    • Search Google Scholar
    • Export Citation
  • Van CauwenbergJ.ClarysP.De BourdeaudhuijI.Van HolleV.VertéD.De WitteN.DeforcheB. (2013). Older adults’ transportation walking: A cross-sectional study on the cumulative influence of physical environmental factors. International Journal of Health Geographics 1237. PubMed ID: 23945285 doi:10.1186/1476-072X-12-37

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Van CauwenbergJ.NathanA.BarnettA.BarnettD.W. & CerinE. (2018). Relationships between neighbourhood physical environmental attributes and older adults’ leisure-time physical activity: A systematic review and meta-analysis. Sports Medicine 4816351660. PubMed ID: 29721838 doi:10.1007/s40279-018-0917-1

    • Crossref
    • Search Google Scholar
    • Export Citation
  • VuongQ.H. (1989). Likelihood ratio tests for model selection and non-nested hypotheses. Econometrica 57307333. doi:10.2307/1912557

  • WatsonK.B.CarlsonS.A.Humbert-RicoT.CarrollD.D. & FultonJ.E. (2015). Walking for transportation: what do US adults think is a reasonable distance and time? Journal of Physical Activity and Health 12(s1) 5361. doi:10.1123/jpah.2014-0062

    • Crossref
    • Search Google Scholar
    • Export Citation
  • World Health Organization. (2010). Global recommendations on physical activity for health. Retrieved from http://apps.who.int/iris/bitstream/handle/10665/44399/9789241599979_eng.pdf;jsessionid=DF5765DB2317B94DBAB80397B5F3D8CD?sequence=1

    • Search Google Scholar
    • Export Citation
Article Metrics
All Time Past Year Past 30 Days
Abstract Views 35 35 10
Full Text Views 16 16 6
PDF Downloads 9 9 2
Altmetric Badge
PubMed
Google Scholar