Association Between Occupational Exposure to Pesticides and Cardiovascular Disease Incidence: The Kuakini Honolulu Heart Program

医学 入射(几何) 职业暴露 环境卫生 疾病 杀虫剂 联想(心理学) 内科学 老年学 物理 光学 哲学 认识论 农学 生物
作者
Zara Berg,Beatriz L. Rodríguez,James W. Davis,Alan R. Katz,Robert V. Cooney,Kamal Masaki
出处
期刊:Journal of the American Heart Association [Wiley]
卷期号:8 (19) 被引量:51
标识
DOI:10.1161/jaha.119.012569
摘要

Background Previously, Kuakini Honolulu Heart Program researchers reported that occupational exposure to pesticides was significantly associated with total mortality. The current study examines occupational exposure to pesticides in relation to incident cardiovascular disease, defined as coronary heart disease or cerebrovascular accident. Methods and Results With the Occupational Safety Health Administration exposure scale used as an estimate of exposure, statistical analyses were performed on a cohort of 7557 Japanese-American men from the Kuakini Honolulu Heart Program. Hazard ratios for cardiovascular disease incidence were calculated for various levels of pesticide exposure using Cox proportional hazards models. In the first 10 years of follow-up, a positive association was observed between age-adjusted cardiovascular disease incidence and high levels of pesticide exposure (hazard ratio=1.46, 95% CI=1.10-1.95, P=0.009). This relationship remained significant after adjustment for other cardiovascular disease risk factors (hazard ratio=1.42, 95% CI=1.05-1.92, P=0.021). No significant association for coronary heart disease or cerebrovascular accident incidence with pesticide exposure was observed when examined separately, possibly due to a smaller number of events. Conclusions These findings suggest that occupational exposure to pesticides may play a role in the development of cardiovascular diseases. The results are novel, as the association between occupational exposure to pesticides and cardiovascular disease incidence has not been examined previously in this unique cohort.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
powfu发布了新的文献求助10
刚刚
刚刚
刚刚
yifly2025发布了新的文献求助10
1秒前
1秒前
1秒前
倦懒完成签到 ,获得积分10
1秒前
1秒前
Swipda发布了新的文献求助10
1秒前
1秒前
情怀应助大白采纳,获得10
1秒前
2秒前
2秒前
帅气的乘云完成签到,获得积分10
2秒前
wwy发布了新的文献求助10
2秒前
2秒前
2秒前
F1y发布了新的文献求助10
3秒前
Miya_han发布了新的文献求助10
4秒前
愤怒的小鸟完成签到,获得积分10
4秒前
5秒前
聪明静柏完成签到 ,获得积分10
5秒前
小周完成签到,获得积分10
5秒前
SciGPT应助gyq2006采纳,获得10
6秒前
李健的小迷弟应助zz采纳,获得10
6秒前
TF发布了新的文献求助10
6秒前
沐沐发布了新的文献求助10
6秒前
7秒前
7秒前
huang应助ILUO采纳,获得10
8秒前
椰与兮完成签到,获得积分10
8秒前
djbj2022发布了新的文献求助10
8秒前
小蘑菇应助菌菌采纳,获得10
9秒前
阳光岱周发布了新的文献求助10
10秒前
10秒前
田様应助金效地采纳,获得10
10秒前
linger发布了新的文献求助10
11秒前
潇洒黑夜完成签到,获得积分10
11秒前
12秒前
QQ发布了新的文献求助10
13秒前
高分求助中
Principles of Economics, 11th Edition 10000
University Physics with Modern Physics, 16th edition 10000
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Molecular Mechanisms of Photosynthesis, 4th Edition 1000
Organic Reactions, Volume 116 1000
Matrix Methods in Data Mining and Pattern Recognition 510
Social Skills Improvement System-Rating Scales--Chinese Version 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7254912
求助须知:如何正确求助?哪些是违规求助? 8876858
关于积分的说明 18743997
捐赠科研通 6935337
什么是DOI,文献DOI怎么找? 3200265
关于科研通互助平台的介绍 2374871
邀请新用户注册赠送积分活动 2175214