Associations between cardiovascular diseases and cancer mortality: insights from a retrospective cohort analysis of NHANES data

医学 癌症 全国健康与营养检查调查 内科学 回顾性队列研究 比例危险模型 队列研究 流行病学 糖尿病 疾病 人口 环境卫生 内分泌学
作者
Chenliang Ge,Zhiyuan Jiang,Binghua Long,Qingjian Lu,Yan He
出处
期刊:BMC Public Health [Springer Nature]
卷期号:24 (1) 被引量:3
标识
DOI:10.1186/s12889-024-18498-7
摘要

Abstract Background This study explored the association of cardiovascular disease (CVD) with cancer mortality risk in individuals with or without a history of cancer, to better understand the interplay between CVD and cancer outcomes. Methods Utilizing data from the National Health and Nutrition Examination Survey (NHANES) spanning 1999 to 2018, a retrospective cohort analysis was conducted. This analysis accounted for the survey’s complex design to ensure national representativeness. The association of CVD with cancer mortality was assessed through multivariable Cox proportional hazards models. Results The present study included 59,653 participants, of whom 54,095 did not have cancer and 5558 had a history of cancer. In individuals without cancer, heart failure (HF) was associated with an increased risk of mortality from cancer (HR, 1.36; 95% CI, 1.09–1.69; P = 0.005). In participants with cancer, HF correlated with a higher risk of mortality from cancer (HR, 1.76; 95% CI, 1.32–2.34; P < 0.001). Diabetes (DM), hypertension (HBP) and coronary heart disease (CHD) were not significantly associated with an increased risk of mortality from cancer. Significant differences were observed in the interaction between cancer and CHD (HR, 0.68; 95% CI, 0.53–0.87; P = 0.002). For cancer and HBP, a similar trend was noted (HR, 0.75; 95% CI, 0.62–0.91; P = 0.003). No significant differences were found in interactions between HF, DM and cancer. Conclusions HF was associated with an increased risk of mortality from cancer, regardless of cancer history, while HBP, CHD and DM showed no significant association. These findings underscore the importance of understanding the mechanisms behind the increased risk of cancer mortality following HF.

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

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
传奇3应助大风采纳,获得10
刚刚
黄则已发布了新的文献求助10
刚刚
无极微光应助科研通管家采纳,获得20
1秒前
赘婿应助科研通管家采纳,获得10
1秒前
William完成签到,获得积分10
1秒前
Jasper应助科研通管家采纳,获得30
1秒前
科研通AI2S应助科研通管家采纳,获得10
1秒前
科研通AI2S应助科研通管家采纳,获得30
1秒前
1秒前
shhoing应助科研通管家采纳,获得10
1秒前
大龙哥886应助科研通管家采纳,获得10
1秒前
领导范儿应助科研通管家采纳,获得10
1秒前
爆米花应助科研通管家采纳,获得10
1秒前
lantywan应助科研通管家采纳,获得10
1秒前
充电宝应助科研通管家采纳,获得10
1秒前
顾矜应助科研通管家采纳,获得10
1秒前
Akim应助科研通管家采纳,获得10
1秒前
lantywan应助科研通管家采纳,获得10
1秒前
2秒前
老福贵儿应助科研通管家采纳,获得10
2秒前
2秒前
2秒前
2秒前
2秒前
2秒前
yatou327完成签到,获得积分10
2秒前
2秒前
2秒前
上官若男应助科研通管家采纳,获得10
2秒前
xiaoming发布了新的文献求助10
2秒前
搜集达人应助呆萌的觅松采纳,获得10
2秒前
量子星尘发布了新的文献求助10
3秒前
4秒前
5秒前
土三水应助balabala采纳,获得10
5秒前
Akim应助小白采纳,获得10
6秒前
xx发布了新的文献求助10
6秒前
6秒前
6秒前
7秒前
高分求助中
(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
List of 1,091 Public Pension Profiles by Region 1581
以液相層析串聯質譜法分析糖漿產品中活性雙羰基化合物 / 吳瑋元[撰] = Analysis of reactive dicarbonyl species in syrup products by LC-MS/MS / Wei-Yuan Wu 1000
Current Trends in Drug Discovery, Development and Delivery (CTD4-2022) 800
Biology of the Reptilia. Volume 21. Morphology I. The Skull and Appendicular Locomotor Apparatus of Lepidosauria 600
The Scope of Slavic Aspect 600
Foregrounding Marking Shift in Sundanese Written Narrative Segments 600
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 物理化学 基因 遗传学 催化作用 冶金 量子力学 光电子学
热门帖子
关注 科研通微信公众号,转发送积分 5537346
求助须知:如何正确求助?哪些是违规求助? 4624899
关于积分的说明 14593747
捐赠科研通 4565427
什么是DOI,文献DOI怎么找? 2502354
邀请新用户注册赠送积分活动 1480976
关于科研通互助平台的介绍 1452191