The association between living environment and out-of-hospital cardiac arrest risk in adults: the perspective of daily-life contexts.

Yitong Liao, Hui Chen, Shuli Zhou, Yuanwei Fu, Qiangrong Zhai, Qingbian Ma, Yan Xiong, Suhong Zhou
Author Information
  1. Yitong Liao: School of Geography and Planning, Sun Yat-Sen University, Guangzhou, China.
  2. Hui Chen: Beijing Emergency Medical Center, Beijing, China.
  3. Shuli Zhou: School of Architecture and Urban Planning, Guangzhou University, Guangzhou, China.
  4. Yuanwei Fu: Department of Emergency Medicine, Peking University Third Hospital, Beijing, China.
  5. Qiangrong Zhai: Department of Emergency Medicine, Peking University Third Hospital, Beijing, China.
  6. Qingbian Ma: Department of Emergency Medicine, Peking University Third Hospital, Beijing, China. maqingbian@medmail.com.cn.
  7. Yan Xiong: Department of Emergency Medicine, Nanfang Hospital, Southern Medical University, Guangzhou, China.
  8. Suhong Zhou: School of Geography and Planning, Sun Yat-Sen University, Guangzhou, China. eeszsh@mail.sysu.edu.cn.

Abstract

BACKGROUND: Studying the spatial pattern of out-of-hospital cardiac arrest (OHCA) and its environmental impactors is crucial for both providing timely medical assistance and implementing preventative measures. Existing researches have mainly focused on natural and sociodemographic environments, usually at a macro- or meso-scale, while giving less attention to understanding the association between environment and OHCA risk from the perspective of daily-life contexts.
METHODS: In this study, we utilized 1843 eligible OHCA cases from core districts of Beijing in 2020 and employed modified Besag-York-Mollié (BYM2) Bayesian models to investigate the association between living environment (consisting of food environment, physical activity environment, healthcare environment and leisure environment) and adult OHCA risk, as well as its age disparities, at a 1 × 1 km cell resolution.
RESULTS: The results show that: (1) Fewer living environment factors are associated with the OHCA risk in the young/middle-aged group compared to the elderly group. (2) Unhealthy food destination like barbecue restaurants in living area is associated with increased OHCA risk in both age groups. (3) Facility inducing sedentary activity like chess rooms and healthcare facilities are associated with increased OHCA risk, but only among the elderly groups. (4) The decreased OHCA risk in the young/middle-aged group is related to public gathering places for socialization and relaxation in living area like coffee shops, while for the elder groups, decreased OHCA risk is associated with more green spaces in the living area.
CONCLUSIONS: The findings suggest that living environment may impact adult OHCA risk through shaping daily habits or providing access to health resources, with the underlying mechanism varying across different age groups. Future planning should fully consider and leverage the impact of living environment in order to effectively reduce OHCA risk.

Keywords

References

  1. Resuscitation. 2008 Mar;76(3):388-96 [PMID: 17976889]
  2. J Gen Fam Med. 2017 Oct 16;19(1):4-8 [PMID: 29340259]
  3. Br J Sports Med. 2011 Nov;45(14):1144-8 [PMID: 20418525]
  4. Int J Environ Res Public Health. 2019 Nov 13;16(22): [PMID: 31766251]
  5. J Epidemiol Community Health. 2020 Sep;74(9):726-731 [PMID: 32385129]
  6. Intern Med J. 2021 Feb;51(2):243-248 [PMID: 31908114]
  7. CMAJ. 2011 Oct 18;183(15):1705-12 [PMID: 21911550]
  8. Am J Cardiol. 2019 Apr 1;123(7):1060-1068 [PMID: 30654927]
  9. Health Place. 2012 Jul;18(4):814-23 [PMID: 22503325]
  10. Health Place. 2019 Nov;60:102225 [PMID: 31622919]
  11. Int J Environ Res Public Health. 2022 Jan 12;19(2): [PMID: 35055645]
  12. Ann Epidemiol. 2016 Jun;26(6):418-423.e1 [PMID: 27174737]
  13. Am J Epidemiol. 2007 Sep 1;166(5):534-43 [PMID: 17584756]
  14. Int J Behav Nutr Phys Act. 2017 Nov 16;14(1):158 [PMID: 29145884]
  15. Circulation. 2010 Nov 2;122(18 Suppl 3):S676-84 [PMID: 20956220]
  16. Circulation. 2011 Aug 9;124(6):672-81 [PMID: 21788587]
  17. Nutrients. 2024 Mar 08;16(6): [PMID: 38542688]
  18. Health Serv Res. 2008 Dec;43(6):2183-200 [PMID: 18671752]
  19. Int J Environ Health Res. 2015;25(3):288-98 [PMID: 25056815]
  20. PLoS One. 2015 Oct 08;10(10):e0139776 [PMID: 26447844]
  21. Am J Public Health. 2007 Mar;97(3):486-92 [PMID: 17267713]
  22. Eur Heart J. 2019 Jan 14;40(3):309-318 [PMID: 30380021]
  23. Int J Behav Nutr Phys Act. 2007 Aug 07;4:32 [PMID: 17683624]
  24. Environ Res. 2018 Oct;166:628-637 [PMID: 29982151]
  25. Environ Int. 2019 Oct;131:105016 [PMID: 31352260]
  26. Resuscitation. 2021 Apr 3;163:16-25 [PMID: 33823223]
  27. AIMS Public Health. 2015 Mar 24;2(1):115-131 [PMID: 29546099]
  28. Acad Emerg Med. 2012 Feb;19(2):139-46 [PMID: 22320364]
  29. Resuscitation. 2018 Sep;130:118-123 [PMID: 30057353]
  30. Circ Res. 2015 Jun 5;116(12):1887-906 [PMID: 26044246]
  31. Health Place. 2012 Jan;18(1):5-7 [PMID: 22243901]
  32. JAMA Intern Med. 2019 Apr 1;179(4):506-514 [PMID: 30776056]
  33. Spat Spatiotemporal Epidemiol. 2019 Nov;31:100301 [PMID: 31677766]
  34. Ann Behav Med. 2018 Feb 17;52(3):239-251 [PMID: 29538664]
  35. Environ Int. 2019 Aug;129:525-537 [PMID: 31158598]
  36. BMC Geriatr. 2017 Jul 19;17(1):151 [PMID: 28724355]
  37. Cancer Epidemiol Biomarkers Prev. 2017 Apr;26(4):495-504 [PMID: 28154108]
  38. Ann Emerg Med. 2011 Oct;58(4):343-51 [PMID: 21239083]
  39. Environ Health Prev Med. 2017 Jul 13;22(1):60 [PMID: 29165155]
  40. J Aging Health. 2021 Mar;33(3-4):227-236 [PMID: 33251918]
  41. Environ Res. 2018 Apr;162:231-239 [PMID: 29358115]
  42. Int J Cardiol. 2018 Nov 15;271:352-358 [PMID: 30223374]
  43. BMC Public Health. 2016 Jul 26;16:634 [PMID: 27456491]
  44. BMC Public Health. 2016 Sep 15;16:984 [PMID: 27633380]
  45. Front Oncol. 2022 Oct 19;12:833265 [PMID: 36338766]
  46. Front Med (Lausanne). 2022 Aug 18;9:856379 [PMID: 36059843]
  47. Lancet Planet Health. 2020 Jan;4(1):e15-e23 [PMID: 31999950]
  48. Tohoku J Exp Med. 2020;251(3):217-224 [PMID: 32684533]
  49. Int J Hyg Environ Health. 2016 Jul;219(4-5):389-97 [PMID: 27053353]
  50. Int J Hyg Environ Health. 2017 Nov;220(8):1207-1221 [PMID: 28843736]
  51. Environ Res. 2017 Oct;158:301-317 [PMID: 28672128]
  52. Circ Res. 2019 Mar;124(5):799-815 [PMID: 30817262]
  53. BMC Public Health. 2018 Jul 28;18(1):930 [PMID: 30055594]
  54. Environ Res. 2018 Oct;166:223-233 [PMID: 29890427]
  55. Am J Public Health. 2003 Sep;93(9):1390-4 [PMID: 12948949]
  56. Health Place. 2018 Sep;53:128-134 [PMID: 30121010]
  57. Environ Res. 2018 Nov;167:175-183 [PMID: 30029039]
  58. Int J Environ Res Public Health. 2020 Oct 20;17(20): [PMID: 33092232]
  59. Int J Environ Res Public Health. 2017 Apr 14;14(4): [PMID: 28420118]
  60. Resuscitation. 2014 Nov;85(11):1411-7 [PMID: 25151546]

Word Cloud

Created with Highcharts 10.0.0OHCAenvironmentrisklivingassociatedgroupscardiacarrestassociationagegrouplikeareaout-of-hospitalprovidingperspectivedaily-lifecontextsBayesianfoodactivityhealthcareadultdisparitiesyoung/middle-agedelderlyincreaseddecreasedimpactBACKGROUND:StudyingspatialpatternenvironmentalimpactorscrucialtimelymedicalassistanceimplementingpreventativemeasuresExistingresearchesmainlyfocusednaturalsociodemographicenvironmentsusuallymacro-meso-scalegivinglessattentionunderstandingMETHODS:studyutilized1843eligiblecasescoredistrictsBeijing2020employedmodifiedBesag-York-MolliéBYM2modelsinvestigateconsistingphysicalleisurewell1 × 1kmcellresolutionRESULTS:resultsshowthat:1Fewerfactorscompared2Unhealthydestinationbarbecuerestaurants3Facilityinducingsedentarychessroomsfacilitiesamong4relatedpublicgatheringplacessocializationrelaxationcoffeeshopseldergreenspacesCONCLUSIONS:findingssuggestmayshapingdailyhabitsaccesshealthresourcesunderlyingmechanismvaryingacrossdifferentFutureplanningfullyconsiderleverageordereffectivelyreduceadults:AgemodelGeographicalanalysisLivingOut-of-hospital

Similar Articles

Cited By

No available data.