This study sought to identify profiles of individual, social, and perceived neighborhood environmental correlates of physical activity (PA) and to explore differences between the identified profiles in PA. Residents of assisted living facilities (N = 87, M age = 77.57 years) were recruited for the cross-sectional study. Participants reported their perceived support from important others for PA, basic psychological need satisfaction and motivation for PA, and perceived neighborhood environment around the assisted living facilities. Engagement in light PA and moderate-to-vigorous PA was measured by accelerometers over 1 week. We identified three profiles using latent profile analysis: ‘low self-determined and minimally supported', ‘moderately self-determined and supported', and ‘highly self-determined and supported'. Results showed participants in the highly self-determined and supported profile engaged in higher levels of light PA and moderate-to-vigorous PA than participants from other profiles. Findings showed perceptions of the neighborhood environment should be taken into account with motivation regarding PA.
AinsworthB.HaskellW.WhittM.IrwinM.SwartzA.StrathS.LeonA. (2000).
Compendium of physical activities: An update of activity codes and MET intensities. Medicine and Science in Sports and Exercise,
32(9), S498–S504.
2.
AkaikeH. (1987).
Factor analysis and AIC. Psychometrika,
52(3), 317–332. doi:10.1007/BF02294359
3.
ArangoC. M.PáezD. C.ReisR. S.BrownsonR. C.ParraD. C. (2013).
Association between the perceived environment and physical activity among adults in Latin America: A systematic review. International Journal of Behavioral Nutrition and Physical Activity,
10(1), 122. doi:10.1186/1479-5868-10-122
4.
AsparouhovT.MuthénB. (2014). Muthén, B. Auxiliary variables in mixture modeling: Using the BCH method in Mplus to estimate a distal outcome model and an arbitrary second model (Mplus Web Notes No. 21). Retrieved from https://www.statmodel.com/examples/webnotes/webnote21.pdf
5.
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,
14(1), 103. doi:10.1186/s12966-017-0558-z
6.
BergmanL. R.AnderssonH. (2010).
The person and the variable in developmental psychology. Zeitschrift Für Psychologie/Journal of Psychology,
218(3), 155–165. doi:10.1027/0044-3409/a000025
7.
BerlinK. S.WilliamsN. A.ParraG. R. (2014).
An introduction to latent variable mixture modeling (part 1): Overview and cross-sectional latent class and latent profile analyses. Journal of Pediatric Psychology,
39(2), 174–187. doi:10.1093/jpepsy/jst084
8.
BoothJ. N.LearyS. D.JoinsonC.NessA. R.TomporowskiP. D.BoyleJ. M.ReillyJ. J. (2014).
Associations between objectively measured physical activity and academic attainment in adolescents from a UK cohort. British Journal of Sports Medicine,
48(3), 265–270. doi:10.1136/bjsports-2013-092334
9.
BumanM. P.HeklerE. B.HaskellW. L.PruittL.ConwayT. L.CainK. L.KingA. C. (2010).
Objective light-intensity physical activity associations with rated health in older adults. American Journal of Epidemiology,
172(10), 1155–1165. doi:10.1093/aje/kwq249
10.
CarderP. C. (2002).
The social world of assisted living. Journal of Aging Studies,
16(1), 1–18. doi:10.1016/S0890-4065(01)00031-7
11.
CarnegieM. A.BaumanA.MarshallA. L.MohsinM.Westley-WiseV.BoothM. L. (2002).
Perceptions of the physical environment, stage of change for physical activity, and walking among Australian adults. Research Quarterly for Exercise and Sport,
73(2), 146–155. doi:10.1080/02701367.2002.10609003
12.
ChadK. E.ReederB. A.HarrisonE. L.AshworthN. L.SheppardS. M.SchultzS. L., ... & LawsonJ. A. (2005).
Profile of physical activity levels in community-dwelling older adults. Medicine and Science in Sports and Exercise,
37(10), 1774–1784. doi:10.1249/01.mss.0000181303.51937.9c
13.
ChoiL.WardS. C.SchnelleJ. F.BuchowskiM. S. (2012).
Assessment of wear/nonwear time classification algorithms for triaxial accelerometer. Medicine and Science in Sports and Exercise,
44(10), 2009–2016. doi:10.1249/mss.0b013e318258cb36
14.
CohenJ. (1988). Statistical power analysis for the behavioral sciences.
Hillsdale, NJ:
Erlbaum.
15.
DeciE.RyanR. (2000).
The “what” and “why” of goal pursuits: Human needs and the self-determination of behavior. Psychological Inquiry,
11(4), 227–268.
16.
DuncanM. J.BirchS.WoodfieldL.Al-NakeebY. (2012). Perceptions of the built environment in relation to physical activity and weight status in British adolescents from central England. ISRN Obesity, 2012, Article ID 903846. doi:10.5402/2012/903846
17.
EdmundsJ. K.NtoumanisN.DudaJ. L. (2007). Perceived autonomy support and psychological need satisfaction in exercise. In Hagger M. S. & Chatzisarantis N. (Eds.), Self-determination in exercise and sport (pp. 35–51). Champaign, IL: Human Kinetics.
18.
EndersC. K.BandalosD. L. (2001).
The relative performance of full information maximum likelihood estimation for missing data in structural equation models. Structural Equation Modeling,
8(3), 430–457.
19.
FriedmannE.GalikE.ThomasS. A.HallP. S.ChungS. Y.McCuneS. (2015).
Evaluation of a pet-assisted living intervention for improving functional status in assisted living residents with mild to moderate cognitive impairment: A pilot study. American Journal of Alzheimer’s Disease and Other Dementias,
30(3), 276–289. doi:10.1177/1533317514545477
HagströmerM.TroianoR. P.SjöströmM.BerriganD. (2010).
Levels and patterns of objectively assessed physical activity – A comparison between Sweden and the United States. American Journal of Epidemiology,
171(10), 1055–1064. doi:10.1093/aje/kwq069
22.
HallK. S.McAuleyE. (2010).
Individual, social environmental and physical environmental barriers to achieving 10 000 steps per day among older women. Health Education Research,
25(3), 478–488. doi:10.1093/her/cyq019
23.
HancoxJ. E.QuestedE.Th⊘gersen-NtoumaniC.NtoumanisN. (2015).
An intervention to train group exercise class instructors to adopt a motivationally adaptive communication style: A quasi-experimental study protocol. Health Psychology and Behavioral Medicine,
3(1), 190–203. doi:10.1080/21642850.2015.1074075
24.
HaselwandterE.CorcoranM. (2015).
The built environment, physical activity and aging in the United States: A state of the science review. Journal of Aging and Physical Activity,
23, 323–329. doi:10.1123/japa.2013-0151
25.
HausdorffJ. M.RiosD. A.EdelbergH. K. (2001).
Gait variability and fall risk in community-living older adults: A 1-year prospective study. Archives of Physical Medicine and Rehabilitation,
82(8), 1050–1056. doi:10.1053/apmr.2001.24893
26.
HealyG. N.DunstanD. W.SalmonJ.CerinE.ShawJ. E.ZimmetP. Z.OwenN. (2007).
Objectively measured light-intensity physical activity is independently associated with 2-h plasma glucose. Diabetes Care,
30(6), 1384–1389. doi:10.2337/dc07-0114
27.
LoboA.SantosP.CarvalhoJ.MotaJ. (2008).
Relationship between intensity of physical activity and health-related quality of life in Portuguese institutionalized elderly. Geriatrics & Gerontology International,
8(4), 284–290. doi:10.1111/j.1447-0594.2008.00478.x
28.
MarklandD.TobinV. (2004).
A modification to the behavioural regulation in exercise questionnaire to include an assessment of amotivation. Journal of Sport and Exercise Psychology,
26(2 SRC-GoogleScholar FG-0), 191–196.
29.
MarshH.LüdtkeO.TrautweinU.MorinA. J. (2009).
Classical latent profile analysis of academic self-concept dimensions: Synergy of person- and variable-centered approaches to theoretical models of self-concept. Structural Equation Modeling,
16(2), 191–225. doi:10.1080/10705510902751010
30.
MeromD.BaumanA.PhongsavanP.CerinE.KassisM.BrownW.RisselC. (2009).
Can a motivational intervention overcome an unsupportive environment for walking-findings from the step-by-step study. Annals of Behavioral Medicine : A Publication of the Society of Behavioral Medicine,
38(2), 137–146. doi:10.1007/s12160-009-9138-z
31.
MihalkoS. (2006).
Promoting physical activity in independent living communities. Medicine & Science in Sports & Exercise,
38(1), 112–115. doi:00005768-200601000-00018
MoranF.MacMillanF.Smith-MerryJ.KilbreathS.MeromD. (2015).
Perceived barriers, facilitators and patterns of physical activity of olderold adults living in assisted retirement accommodation : A qualitative and quantitative pilot research. Journal of Gerontology & Geriatric Research,
4(6), 255. doi:10.4172/2167-7182.1000255
34.
MorinA. J. S.BoudriasJ.-S.MarshH. W.McInerneyD. M.Dagenais-DesmaraisV.MadoreI.LitalienD. (2016).
Complementary variable- and person-centered approaches to the dimensionality of psychometric constructs: Application to psychological wellbeing at work. Journal of Business and Psychology,
32(4), 395–419. doi:10.1007/s10869-016-9448-7
NgJ. Y. Y.NtoumanisN.Thøgersen-NtoumaniC. (2014).
Autonomy support and control in weight management: What important others do and say matters. British Journal of Health Psychology,
19(3), 540–552. doi:10.1111/bjhp.12054
37.
NgJ. Y. Y.NtoumanisN.Thøgersen-NtoumaniC.DeciE. L.RyanR. M.DudaJ. L.WilliamsG. C. (2012).
Self-determination theory applied to health contexts: A meta-analysis. Perspectives on Psychological Science : A Journal of the Association for Psychological Science,
7(4), 325–340. doi:10.1177/1745691612447309
38.
NylundK. L. K.AsparouhovT.MuthénB. B. O. (2007).
Deciding on the number of classes in latent class analysis and growth mixture modeling: A Monte Carlo simulation study. Structural Equation Modeling: A Multidisciplinary Journal,
14(4), 535–569. doi:10.1080/10705510701575396
39.
Park-LeeE.CaffreyC.SenguptaM.MossA. J.RosenoffE.Harris-KojetinL. D. (2011).
Residential care facilities: A key sector in the spectrum of long-term care providers in the United States. NCHS Data Brief, (78), 1–8.
40.
PastorD.BarronK.MillerB.DavisS. (2007).
A latent profile analysis of college students’ achievement goal orientation. Contemporary Educational,
31(1), 8–47. doi:10.1016/j.cedpsych.2006.10.003
41.
PeddleC. J.PlotnikoffR. C.WildT. C.AuH.-J.CourneyaK. S. (2008).
Medical, demographic, and psychosocial correlates of exercise in colorectal cancer survivors: An application of self-determination theory. Supportive Care in Cancer: Official Journal of the Multinational Association of Supportive Care in Cancer,
16(1), 9–17.
42.
PeelD.MacLahlanG. (2000). Finite mixture models.
New York, NY:
Wiley.
43.
RasinahoM.HirvensaloM.LeinonenR.LintunenT.RantanenT. (2007).
Motives for and barriers to physical activity among older adults with mobility limitations. Journal of Aging and Physical Activity,
15(1), 90–102. doi: 10.1123/japa.15.1.90
44.
RouseP. C.NtoumanisN.DudaJ. L.JollyK.WilliamsG. C. (2011).
In the beginning: Role of autonomy support on the motivation, mental health and intentions of participants entering an exercise referral scheme. Psychology & Health,
26(6), 729–749. doi:10.1080/08870446.2010.492454
45.
RussellK. L.BrayS. R. (2009).
Self-determined motivation predicts independent, home-based exercise following cardiac rehabilitation. Rehabilitation Psychology,
54(2), 150–156. doi:10.1037/a0015595
46.
RyanR.DeciE. (2000).
Self-determination theory and the facilitation of intrinsic motivation, social development, and well-being. American Psychologist,
55(1), 68.
47.
SallisJ.OwenN.FisherE. (2008). Ecological models of health behavior. In GlanzK.RimerB.ViswanathK. (Eds.), Health behavior and health education: Theory, research, and practice (pp. 465–485).
San Francisco, CA:
John Wiley & Sons, Inc.
48.
SchutzerK. A.GravesB. S. S. (2004).
Barriers and motivations to exercise in older adults. Preventive Medicine,
39(5), 1056–1061. doi:10.1016/j.ypmed.2004.04.003
49.
SpittaelsH.FosterC.OppertJ.-M.RutterH.OjaP.SjöströmM.De BourdeaudhuijI. (2009).
Assessment of environmental correlates of physical activity: Development of a European questionnaire. The International Journal of Behavioral Nutrition and Physical Activity,
6(1), 39.
50.
SpittaelsH.VerloigneM.GidlowC.GloanecJ.TitzeS.FosterC.De BourdeaudhuijI. (2010).
Measuring physical activity-related environmental factors: Reliability and predictive validity of the European environmental questionnaire ALPHA. The International Journal of Behavioral Nutrition and Physical Activity,
7(1), 48. doi:10.1186/1479-5868-7-48
51.
TeixeiraP.CarraçaE.MarklandD.SilvaM. N.RyanR. M. (2012).
Exercise, physical activity, and self-determination theory: A systematic review. International Journal of Behavioral Nutrition and Physical Activity,
9(1), 78. doi:10.1186/1479-5868-9-78
52.
Thøgersen-NtoumaniC.CummingJ.NtoumanisN.NikitarasN. (2012).
Exercise imagery and its correlates in older adults. Psychology of Sport and Exercise,
13(1), 19–25. doi:10.1016/j.psychsport.2011.08.002
53.
TroianoR. P.BerriganD.DoddK. W.MâsseL. C.TilertT.McDowellM. (2008).
Physical activity in the United States measured by accelerometer. Medicine and Science in Sports and Exercise,
40(1), 181–188. doi:10.1249/mss.0b013e31815a51b3
54.
Washburn, R. A., Smith, K. W., Jette, A. M., & Janney, C. A. (1993). The physical activity scale for the elderly (PASE): Development and evaluation. Journal of Clinical Epidemiology, 46(2), 153–162. doi: 10.1016/0895-4356(93)90053-4
55.
WatsonL.GarrettJ.SloaneP.Gruber-BaldiniA.ZimmermanS. (2003).
Depression in assisted living: Results from a four-state study. American Journal of Geriatric Psychiatry,
11(5), 534–542. doi:10.1176/appi.ajgp.11.5.534
56.
WilliamsG. C.LynchM. F.McGregorH. A.RyanR. M.SharpD.DeciE. L. (2006).
Validation of the “important other” climate questionnaire: Assessing autonomy support for health-related change. Families, Systems, & Health,
24(2), 179–194.
57.
WilsonP. M.RogersW. T.RodgersW. M.WildT. C. (2006).
The psychological need satisfaction in exercise scale. Journal of Sport & Exercise Psychology,
28(3), 231–251.
YangC.-C. (2006).
Evaluating latent class analysis models in qualitative phenotype identification. Computational Statistics & Data Analysis,
50(4), 1090–1104. doi:10.1016/j.csda.2004.11.004
60.
ZhangT.SolmonM. (2013).
Integrating self-determination theory with the social ecological model to understand students’ physical activity behaviors. International Review of Sport and Exercise Psychology,
6(1), 54–76.
