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Using street view imagery to examine the association between urban neighborhood disorder and the long-term recurrence risk of patients discharged with acute myocardial infarction in central Beijing, China.
Zhang, Yuyang; Deng, Qiuju; Guo, Moning; Li, Yan; Lu, Feng; Chen, Jingjia; Sun, Jiayi; Chang, Jie; Hu, Piaopiao; Liu, Ningrui; Liu, Jing; Long, Ying.
Afiliação
  • Zhang Y; School of Architecture, Tsinghua University, Beijing 100084, China.
  • Deng Q; Department of Epidemiology, Beijing An Zhen Hospital, Capital Medical University, Beijing Institute of Heart, Lung and Blood Vessel Diseases, the Key Laboratory of Remodeling-Related Cardiovascular Diseases, Ministry of Education, and the Beijing Municipal Key Laboratory of Clinical Epidemiology, Be
  • Guo M; Beijing Municipal Health Commission Information Center (Beijing Municipal Health Commission Policy Research Center), Beijing, China.
  • Li Y; School of Architecture, Tsinghua University, Beijing 100084, China.
  • Lu F; Beijing Municipal Health Commission Information Center (Beijing Municipal Health Commission Policy Research Center), Beijing, China.
  • Chen J; School of Architecture, Tsinghua University, Beijing 100084, China.
  • Sun J; Department of Epidemiology, Beijing An Zhen Hospital, Capital Medical University, Beijing Institute of Heart, Lung and Blood Vessel Diseases, the Key Laboratory of Remodeling-Related Cardiovascular Diseases, Ministry of Education, and the Beijing Municipal Key Laboratory of Clinical Epidemiology, Be
  • Chang J; Department of Epidemiology, Beijing An Zhen Hospital, Capital Medical University, Beijing Institute of Heart, Lung and Blood Vessel Diseases, the Key Laboratory of Remodeling-Related Cardiovascular Diseases, Ministry of Education, and the Beijing Municipal Key Laboratory of Clinical Epidemiology, Be
  • Hu P; Department of Epidemiology, Beijing An Zhen Hospital, Capital Medical University, Beijing Institute of Heart, Lung and Blood Vessel Diseases, the Key Laboratory of Remodeling-Related Cardiovascular Diseases, Ministry of Education, and the Beijing Municipal Key Laboratory of Clinical Epidemiology, Be
  • Liu N; School of Architecture, Tsinghua University, Beijing 100084, China.
  • Liu J; Department of Epidemiology, Beijing An Zhen Hospital, Capital Medical University, Beijing Institute of Heart, Lung and Blood Vessel Diseases, the Key Laboratory of Remodeling-Related Cardiovascular Diseases, Ministry of Education, and the Beijing Municipal Key Laboratory of Clinical Epidemiology, Be
  • Long Y; School of Architecture and Hang Lung Center for Real Estate, Key Laboratory of Eco Planning & Green Building, Ministry of Education, Tsinghua University, 100084, China.
Cities ; 138: 104366, 2023 May 17.
Article em En | MEDLINE | ID: mdl-37250183
ABSTRACT

Background:

To examine the association between urban neighborhood disorder and the recurrence risk of patients with acute myocardial infarction (AMI) in central Beijing, China.

Methods:

Recurrent AMI was identified by the Beijing Monitoring System for Cardiovascular Diseases through the end of 2019 for patients discharged with AMI between 2007 and 2017. Cox proportional hazards models were performed to estimate associations between neighborhood disorder and AMI recurrence.

Results:

Of 66,238 AMI patients, 11,872 had a recurrent event, and 3117 died from AMI during a median followup of 5.92 years. After covariate adjustment, AMI patients living in the high tertile of neighborhood disorder had a higher recurrence risk (hazard ratio [HR] 1.08, 95 % confidence interval [CI], 1.03-1.14) compared with those in the low tertile. A stronger association was noted for fatal recurrent AMI (HR 1.21, 95 % CI 1.10-1.34). The association was mainly observed in females (HR 1.04, 95 % CI 1.02 to 1.06).

Conclusions:

Serious neighborhood disorder may contribute to higher recurrence risk, particularly fatal recurrence, among AMI patients. Policies to eliminate neighborhood disorders may play an important role in the secondary prevention of cardiovascular disease.
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Texto completo: 1 Bases de dados: MEDLINE Tipo de estudo: Etiology_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Cities Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China

Texto completo: 1 Bases de dados: MEDLINE Tipo de estudo: Etiology_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Cities Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China