Objectives: Aging in place (residential stability) is a desirable means of aging where adults remain in their homes, even when facing challenges that impair their capacity for self-care. Residential stability, especially following acute health challenges, depends on individual and community factors, possibly including proximity to medical facilities. Methods: We explored the association between the density of medical facilities around homes with risk of incident myocardial infarction (MI) and with aging in place following incident MI. Results: Densities of neighborhood pharmacies were not associated with aging in place or time to MI. High densities of neighborhood clinical care facilities were significantly associated with decreased residential stability. Discussion: The lack of significant associations between medical facility exposures and MI-related outcomes, coupled with prior findings, casts doubt on their salience and may indicate that other neighborhood features are more strongly associated with these outcomes.
AlbrektsenG.HeuchI.LøchenM.-L.ThelleD. S.WilsgaardT.NjølstadI.BønaaK. H. (2017). Risk of incident myocardial infarction by gender: Interactions with serum lipids, blood pressure and smoking. The Tromsø Study 1979-2012. Atherosclerosis, 261, 52-59. doi:10.1016/j.atherosclerosis.2017.04.009
2.
BuchmuellerT. C.JacobsonM.WoldC. (2006). How far to the hospital?Journal of Health Economics, 25, 740-761.
3.
Centers for Disease Control and Prevention, C. (Cartographer). (2005-2007). Interactive atlas of heart disease and stroke. http://nccd.cdc.gov/DHDSPAtlas
4.
ChenE.MillerG. E. (2013). Socioeconomic status and health: Mediating and moderating factors. Annual Review of Clinical Psychology, 9(1), 723-749. doi:10.1146/annurev-clinpsy-050212-185634
5.
DetectionN. C. E. P. E. P. o.AdultsT. o. H. B. C. i. (2002). Third report of the national cholesterol education program (NCEP) expert panel on detection, evaluation, and treatment of high blood cholesterol in adults (adult treatment panel III). Circulation, 106(25), 3143-3421.
6.
Diez RouxA. V.MairC. (2010). Neighborhoods and health. Annals of the New York Academy of Sciences, 1186(1), 125-145. doi:10.1111/j.1749-6632.2009.05333.x
7.
GohC. E.MooneyS. J.SiscovickD. S.LemaitreR. N.HurvitzP.SotoodehniaN.KaufmanT. K.ZulaikaG.LovasiG. S. (2018). Medical facilities in the neighborhood and incidence of sudden cardiac arrest. Resuscitation, 130, 118-123. doi:10.1016/j.resuscitation.2018.07.005
8.
HarrisM. I.EastmanR. C.CowieC. C.FlegalK. M.EberhardtM. S. (1997). Comparison of diabetes diagnostic categories in the US population according to 1997 American diabetes association and 1980-1985 world health organization diagnostic criteria. Diabetes Care, 20(12), 1859-1862.
9.
HirschJ. A.MooreK. A.QuinnJ.CahillJ.ZhaoY.BrownJ.BayerJ.RundleA.LovasiG. (2020). Business data categorization and refinement for application in longitudinal neighborhood health research: A methodology. Journal of Urban Health, 1-14.
10.
HowardV. J.CushmanM.PulleyL.GomezC. R.GoR. C.PrineasR. J.GrahamA.MoyC. S.HowardG. (2005). The reasons for geographic and racial differences in stroke study: Objectives and design. Neuroepidemiology, 25, 135-143.
11.
HowardV. J.KleindorferD. O.JuddS. E.McClureL. A.SaffordM. M.RhodesJ. D.CushmanM.MoyC. S.SolimanE. Z.KisselaB. M.HowardG. (2011). Disparities in stroke incidence contributing to disparities in stroke mortality. Annals of neurology, 69(4), 619-627.
12.
HurleyS.HertzA.NelsonD. O.LayefskyM.Von BehrenJ.BernsteinL.DeapenD.ReynoldsP. (2017). Tracing a path to the past: Exploring the use of commercial credit reporting data to construct residential histories for epidemiologic studies of environmental exposures. American Journal of Epidemiology, 185(3), 238-246. doi:10.1093/aje/kww108
13.
IecovichE. (2014). Aging in place: From theory to practice. Anthropological Notebooks, 20(1), 21-33.
14.
JacquezG. M.SlotnickM. J.MelikerJ. R.AvRuskinG.CopelandG.NriaguJ. (2010). Accuracy of commercially available residential histories for epidemiologic studies. American Journal of Epidemiology, 173(2), 236-243. doi:10.1093/aje/kwq350
15.
KaufmanT. K.SheehanD. M.RundleA.NeckermanK. M.BaderM. D. M.JackD.LovasiG. S. (2015). Measuring health-relevant businesses over 21 years: Refining the national establishment time-series (NETS), a dynamic longitudinal data set. BMC Research Notes, 8, 507-519.
16.
LauD. T.ScandrettK. G.JarzebowskiM.HolmanK.EmanuelL. (2007). Health-related safety: A framework to address barriers to aging in place. The Gerontologist, 47(6), 830-837. doi:10.1093/geront/47.6.830
17.
LawtonM. P. (1989). Behavior-relevant ecological factors. Social Structure and Aging: Psychological Processes, 57-78.
18.
LoganJ. R.XuZ.StultsB. J. (2014). Interpolating US decennial census tract data from as early as 1970 to 2010: A longitudinal tract database. The Professional Geographer, 66(3), 412-420.
19.
LovasiG. S.RichardsonJ. M.RodriguezC. J.KopW. J.AhmedA.BrownA. F.GreenleeH.SiscovickD. S. (2014). Residential relocation by older adults in response to incident cardiovascular health events: A case-crossover analysis. Journal of Environmental and Public Health, 2014, 1-7.
20.
MorrisonC.WoodwardM.LeslieW.Tunstall-PedoeH. (1997). Effect of socioeconomic group on incidence of, management of, and survival after myocardial infarction and coronary death: Analysis of community coronary event register. British Medical Journal, 314, 541.
21.
RaoS. V.SchulmanK. A.CurtisL. H.GershB. J.JollisJ. G. (2004). Socioeconomic status and outcome following acute myocardial infarction in elderly patients. Archives of Internal Medicine, 164, 1128-1133.
22.
RobertS. A. (1999). SOCIOECONOMIC POSITION AND HEALTH: The independent contribution of community socioeconomic context. Annual Review of Sociology, 25(1), 489-516. doi:10.1146/annurev.soc.25.1.489
23.
RosengrenA.SubramanianS. V.IslamS.ChowC. K.AvezumA.KazmiK.SliwaK.ZubaidM.RangarajanS.YusufS. (2009). Education and risk for acute myocardial infarction in 52 high, middle and low-income countries: INTERHEART case-control study. Heart, 95(24), 2014-2022. doi:10.1136/hrt.2009.182436
24.
SabiaJ. J. (2008). There’s no place like home. Research on Aging, 30(1), 3-35. doi:10.1177/0164027507307919
25.
SaffordM. M.BrownT. M.MuntnerP. M.DurantR. W.GlasserS.HalanychJ. H.ShikanyJ. M.PrineasR. J.SamdarshiT.BittnerV. A.LewisC. E.GamboaC.CushmanM.HowardV.HowardG., & REGARDS Investigators (2012). Association of race and sex with risk of incident acute coronary heart disease events. JAMA, 308(17), 1768-1774.
26.
SergeantJ. F.EkerdtD. J.ChapinR. K. (2010). Older adults' expectations to move: Do they predict actual community-based or nursing facility moves within 2 years?Journal of Aging and Health, 22(7), 1029-1053.
27.
StjärneM. K.FritzellJ.De LeonA. P.HallqvistJ. (2006). Neighborhood socioeconomic context, individual income and myocardial infarction. Epidemiology, 17(1), 14-23. www.jstor.org/stable/20486156
28.
TangF.LeeY. (2011). Social support networks and expectations for aging in place and moving. Research on Aging, 33(4), 444-464. doi:10.1177/0164027511400631
29.
The sixth report (1997). The sixth report of the joint national committee on prevention, detection, evaluation, and treatment of high blood pressure. Archives of internal medicine, 157(21), 2413-2446. doi:10.1001/archinte.157.21.2413
30.
VenskutonyteL.BrismarK.ÖhrvikJ.RydénL.KjellströmB. (2013). Self-rated health predicts outcome in patients with type 2 diabetes and myocardial infarction: A DIGAMI 2 quality of life sub-study. Diabetes and Vascular Disease Research, 10(4), 361-367. doi:10.1177/1479164113482694
31.
WangZ.ShepleyM. M.RodiekS. D. (2012). Aging in place at home through environmental support of physical activity: An interdisciplinary conceptual framework and analysis. Journal of Housing For the Elderly, 26(4), 338-354. doi:10.1080/02763893.2011.625289
32.
WilesJ. L.LeibingA.GubermanN.ReeveJ.AllenR. E. S. (2011). The meaning of “aging in place” to older people. The Gerontologist, 52(3), 357-366. doi:10.1093/geront/gnr098
33.
WinklebyM.SundquistK.CubbinC. (2007). Inequities in CHD incidence and case fatality by neighborhood deprivation. American Journal of Preventive Medicine, 32(2), 97-106.
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