B Jiang1, A J Ma, H Li, K Fang, J Dong, J Xie, K Qi, C Xie, Y Zhou, Y Zhao, Z Dong. 1. Institute for Chronic Disease Prevention and Control, Beijing Preventive Medicine Research Center, Beijing Center for Disease Control and Prevention, Beijing 100020, China.
Abstract
Objective: To understand the prevalence of hypercholesterolemia and related risk factors in residents aged 18-65 years in Beijing and provide scientific evidence for the prevention and control of hypercholesterolemia. Methods: The data were collected from Beijing Non-communicable and Chronic Disease Survey and stratified cluster sampling method was used to select study subjects, and questionnaire investigation, physical measurement and laboratory examination were conducted to collect information. Results: The prevalence of hypercholesterolemia and borderline hypercholesterolemia was 6.26% and 21.34% respectively in 17 662 residents surveyed, the average total cholesterol level was (4.69±0.95) mmol/L. The prevalence of hypercholesterolemia was 6.33% in men and 6.20% in women, the difference was not significant (Z=1.64, P=0.10). The prevalence was higher inurban area than in suburb (6.73% vs. 5.59%; Z=-7.27, P<0.01). The prevalence of hypercholesterolemia increased with age (trend χ(2)=308.85, P<0.01). The trend was observed in men (trend χ(2)=81.65, P<0.01), in women (trend χ(2)=318.04, P<0.01), in urban area (trend χ(2)=201.77, P<0.01) and in suburb (trend χ(2)=114.65, P<0.01). Multiple logistic regression showed age, being female (OR=1.23, 95%CI: 1.04-1.45), overweight (OR=1.56, 95%CI: 1.34-1.81), obesity (OR=1.82, 95%CI: 1.54-2.16), smoking (OR=1.24, 95%CI: 1.03-1.50), alcohol use (OR=1.40, 95%CI: 1.12-1.75), beef and mutton intake >1 time per week (OR=1.19, 95%CI: 1.02-1.39) were risk factors. Conclusion: The prevalence of hypercholesterolemia in Beijing was lower than national level, and age, gender, location, BMI, smoking, alcohol use, beef and mutton intake were main influencing factors.
Objective: To understand the prevalence of hypercholesterolemia and related risk factors in residents aged 18-65 years in Beijing and provide scientific evidence for the prevention and control of hypercholesterolemia. Methods: The data were collected from Beijing Non-communicable and Chronic Disease Survey and stratified cluster sampling method was used to select study subjects, and questionnaire investigation, physical measurement and laboratory examination were conducted to collect information. Results: The prevalence of hypercholesterolemia and borderline hypercholesterolemia was 6.26% and 21.34% respectively in 17 662 residents surveyed, the average total cholesterol level was (4.69±0.95) mmol/L. The prevalence of hypercholesterolemia was 6.33% in men and 6.20% in women, the difference was not significant (Z=1.64, P=0.10). The prevalence was higher inurban area than in suburb (6.73% vs. 5.59%; Z=-7.27, P<0.01). The prevalence of hypercholesterolemia increased with age (trend χ(2)=308.85, P<0.01). The trend was observed in men (trend χ(2)=81.65, P<0.01), in women (trend χ(2)=318.04, P<0.01), in urban area (trend χ(2)=201.77, P<0.01) and in suburb (trend χ(2)=114.65, P<0.01). Multiple logistic regression showed age, being female (OR=1.23, 95%CI: 1.04-1.45), overweight (OR=1.56, 95%CI: 1.34-1.81), obesity (OR=1.82, 95%CI: 1.54-2.16), smoking (OR=1.24, 95%CI: 1.03-1.50), alcohol use (OR=1.40, 95%CI: 1.12-1.75), beef and mutton intake >1 time per week (OR=1.19, 95%CI: 1.02-1.39) were risk factors. Conclusion: The prevalence of hypercholesterolemia in Beijing was lower than national level, and age, gender, location, BMI, smoking, alcohol use, beef and mutton intake were main influencing factors.