Prevalence characters of peripheral artery disease and associated factors among Beijing residents aged equal and above 35 years old

Qiannan Zhao; Chunxiu Wang; Shaochen Guan; Hongjun Liu; Xiaoguang WU; Chunxiao Liu; Huihui LI; Chengbei Hou; Xianghua Fang

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Prevalence characters of peripheral artery disease and associated factors among Beijing residents aged equal and above 35 years old

VernacularTitle: 北京地区35岁及以上人群外周动脉疾病患病率特点及影响因素分析
Author: Qiannan ZHAO ¹ ; Chunxiu WANG ¹ ; Shaochen GUAN ¹ ; Hongjun LIU ¹ ; Xiaoguang WU ¹ ; Chunxiao LIU ¹ ; Huihui LI ² ; Chengbei HOU ¹ ; Xianghua FANG ¹
Author Information

1. Department of Evidence-based Medicine, Xuanwu Hospital, Capital Medical University, Beijing 100053, China
2. Elderly Demonstration Department, Beijing Geriatric Hospital, Beijing 100095, China
Publication Type:Journal Article
Keywords: Peripheral vascular diseases; Prevalence; Ankle brachial index
From: Chinese Journal of Cardiology 2019;47(12):1000-1004
CountryChina
Language:Chinese
Abstract: 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.