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[Prevalence characters of peripheral artery disease and associated factors among Beijing residents aged equal and above 35 years old].
Zhao, Q N; Wang, C X; Guan, S C; Liu, H J; Wu, X G; Liu, C X; Li, H H; Hou, C B; Fang, X H.
Affiliation
  • Zhao QN; Department of Evidence-based Medicine, Xuanwu Hospital, Capital Medical University, Beijing 100053, China.
  • Wang CX; Department of Evidence-based Medicine, Xuanwu Hospital, Capital Medical University, Beijing 100053, China.
  • Guan SC; Department of Evidence-based Medicine, Xuanwu Hospital, Capital Medical University, Beijing 100053, China.
  • Liu HJ; Department of Evidence-based Medicine, Xuanwu Hospital, Capital Medical University, Beijing 100053, China.
  • Wu XG; Department of Evidence-based Medicine, Xuanwu Hospital, Capital Medical University, Beijing 100053, China.
  • Liu CX; Department of Evidence-based Medicine, Xuanwu Hospital, Capital Medical University, Beijing 100053, China.
  • Li HH; Elderly Demonstration Department, Beijing Geriatric Hospital, Beijing 100095, China.
  • Hou CB; Department of Evidence-based Medicine, Xuanwu Hospital, Capital Medical University, Beijing 100053, China.
  • Fang XH; Department of Evidence-based Medicine, Xuanwu Hospital, Capital Medical University, Beijing 100053, China.
Zhonghua Xin Xue Guan Bing Za Zhi ; 47(12): 1000-1004, 2019 Dec 24.
Article in Zh | MEDLINE | ID: mdl-31877597
Objective: To investigate the prevalence characters of peripheral artery disease (PAD) and associated factors among people aged 35 and above in Beijing. Methods: This was a cross-sectional study. A total of 5 208 community-based individuals aged equal and above 35 in Beijing were chosen with stratified multistage random sampling method. Structure questionnaire was used to collected the information of demographic factors, habits and chronic disease history. Ankle brachial blood pressure was detected and ankle brachial index (ABI) was calculated. ABI was used to diagnose PAD (ABI≤0.90). Based on the 2010 Beijing Municipal Population Census, the age-and gender-specific weight-adjusted sample was acquired to estimate the prevalence of PAD and corresponding 95% confidence intervals (CI). Multivariate logistic regression analysis was performed to estimate the associated factors of PAD. Results: The age-and sex-standardized prevalence of PAD was 3.84% (200/5 208, 95%CI 3.32%-4.36%). There was no significant difference between male and female (3.83%(102/2 664, 95%CI 3.10%-4.56%) vs. 3.85% (98/2 544, 95%CI 3.10%-4.60%), P=0.965). The prevalence of PAD in urban was higher than that in rural (4.34% (163/3 755, 95%CI 3.69%-4.99%) vs. 2.55% (37/1 453, 95%CI 1.74%-3.36%), P=0.001). Furthermore, the prevalence of PAD increased with age (P(trend)<0.01), and the difference between genders did not change with ageing (all P>0.05). In addition, age (OR=1.03, 95%CI 1.01-1.04), urban (OR=1.52, 95%CI 1.08-2.12), smoking (OR=1.83, 95%CI 1.29-2.59), hypertension (OR=1.61, 95%CI 1.17-2.22) and diabetes (OR=1.44, 95%CI 1.08-1.93) were related with increased risk of PAD in logistic regression analysis models. Conclusions: The prevalence of PAD increases with age in Beijing and there are significant difference between urban and rural on prevalence of PAD. Age, urban, smoking, hypertension and diabetes are related with increased risk of PAD.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Peripheral Arterial Disease Type of study: Etiology_studies / Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Limits: Adult / Female / Humans / Male Country/Region as subject: Asia Language: Zh Journal: Zhonghua Xin Xue Guan Bing Za Zhi Year: 2019 Type: Article Affiliation country: China

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Peripheral Arterial Disease Type of study: Etiology_studies / Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Limits: Adult / Female / Humans / Male Country/Region as subject: Asia Language: Zh Journal: Zhonghua Xin Xue Guan Bing Za Zhi Year: 2019 Type: Article Affiliation country: China