Distribution of risk factors differs from coronary heart disease and stroke in China: a national population survey. Issue 11 (24th November 2022)

• Record Type: Journal Article
• Authors: Li, Yapeng; Yin, Ling; Shen, Ying; Wang, Anran; Zhou, Lue; Gao, Yuan; Li, Yusheng; Lu, Jie; Shi, Songhe; Tian, Chuansheng; Xu, Yuming; Wang, Longde
• Is Part Of: BMJ open. Volume 12:Issue 11(2022)
• Publication Date: 2022-11-24
• Subjects: Coronary heart disease -- Stroke -- Cardiac Epidemiology -- EPIDEMIOLOGY -- PUBLIC HEALTH; Medicine -- Research -- Periodicals; 610.72
• DOI: 10.1136/bmjopen-2022-065970
• Languages: English
• ISSNs: 2044-6055

Abstract

Abstract : Objectives: This study aimed to explore the distribution differences of common risk factors between coronary heart disease (CHD) and stroke in China. Setting: The China National Stroke Screening Survey is a cluster sampling survey based on a nationwide general community population, adopting multistage stratified sampling method and covering all 31 provinces in China mainland. Participants: A total number of 725 707 people aged 40 years and above were included in the study. Primary and secondary outcome measures: The basic demographic information, lifestyle behaviour, physical examination, traditional risk factors, family history of cardiovascular disease (CVD) and CVD events were collected. Risk factors of CHD and stroke were explored and analysed in the whole investigated population to identify the common risk factors. Multivariate logistic regression analysis was used to analyse the distribution difference of risk factors between CHD and stroke. Results: There were 13 variables associated with CHD and stroke, in which 11 variables revealed differences in the distribution between CHD and stroke. Family history of stroke (OR: 2.30; 95% CI 2.15 to 2.45), men (OR: 1.92; 95% CI 1.80 to 2.05), rural areas (OR: 1.70; 95% CI 1.60 to 1.80), transient ischaemic attack (OR: 1.41; 95% CI 1.30 to 1.54) and hypertension (OR: 1.28; 95% CI 1.19 to 1.38) indicated significantly stronger association with stroke, while family history of CHD (OR: 0.25; 95% CI 0.23 to 0.27), atrial fibrillation (OR: 0.60; 95% CI 0.51 to 0.71), diabetes (OR: 0.76; 95% CI 0.71 to 0.81), dyslipidaemia (OR: 0.76; 95% CI 0.72 to 0.81), smoking (OR: 0.79; 95% CI 0.73 to 0.85) and overweight/obesity (OR: 0.90; 95% CI 0.86 to 0.93) had closer relationship with CHD. Conclusions: The distribution of risk factors for CHD and stroke were substantial differences. More specific prevention and control measures should be formulated according to the distribution differences of risk factors related to CVD.