The Impact of In Utero Tobacco Exposure on Cardiovascular Disease Risk and All-cause Mortality in Adulthood: a UK Biobank Study
Zheng, Y.; Xiong, X.; Bao, J.; Liu, J.; Wang, J.; Chen, Z.; Zou, F.; Guo, Y.; Wang, Q.; Qiu, Y.; Zhu, Z.
Show abstract
AimThe negative impacts of in utero tobacco exposure (IUTE) on cardiovascular disease (CVD) have been insufficiently described. This study aims to assess the association between IUTE and the risks of CVD incidence and all-cause mortality, discuss the inter-group difference based on genetic susceptibility and smoking behaviors after birth, and explore the potential mediating factors. MethodsUtilizing a total of 375,024 participants from the UK Biobank, the outcomes include myocardial infarction, stroke, chronic ischemic heart disease, nonrheumatic aortic valve disorders, cardiomyopathy, heart failure, atherosclerosis, aortic aneurysm and dissection, and all-cause mortality. ResultsDuring a median follow-up period of 14.6 years, 50,434 cases of CVD were recorded. IUTE was significantly associated with increased CVD incidence (HR 1.10, 95% CI 1.08-1.12) and all-cause mortality (HR 1.11, 95% CI 1.09-1.14). Interaction effects between IUTE, smoking behaviors after birth, and genetic risk scores for CVD were observed significant (P for interaction < 0.005). The results of the cross-sectional study revealed a significant positive association between IUTE and smoking behaviors after birth (OR 1.08, 95% CI 1.06-1.09). Mediation analysis indicated that smoking behaviors (Proportion = 12.40%, P < 0.001) and HDL-c levels (Proportion = 14.20%, P < 0.001) partially mediated the IUTE-CVD relationship. ConclusionsThis study demonstrated that individuals with IUTE have a higher risk of developing CVD, and smoking behaviors after birth have multifaceted influence on this correlation. These findings underscore the importance of mothers avoiding smoking during pregnancy to mitigate adverse effects on their offspring.
Matching journals
The top 4 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Social Networks and Cardiovascular Disease Events in the Jackson Heart Study 95%
- Walking pace optimizes conventional cardiovascular disease risk prediction models among vulnerable subpopulations: a prospective cohort study 95%
- Lifetime exposure to violence and early cardiometabolic risk factors in a healthy Swedish cohort 95%
Similar papers in this journal
- Development and validation of a cardiovascular diseases risk prediction model for Chinese males (CVDMCM) 94%
- Carotid atherosclerosis in people of European, South Asian and African Caribbean ethnicity in the Southall and Brent Revisited study (SABRE) 94%
- Nomogram-Based Prognostic Model to predict the High blood pressure in Children and Adolescents —— Finding from 342,736 individual in China 94%
Similar papers in this journal
- Shared and distinct pathways from anxiety disorder and depression to cardiovascular disease: a UK Biobank prospective cohort study 95%
- Familial risk of myocardial infarction with non-obstructive and obstructive coronary arteries-A nation-wide cohort study 95%
- Metabolomics data improve 10-year cardiovascular risk prediction with the SCORE2 algorithm for the general population without cardiovascular disease or diabetes 94%
Similar papers in this journal
- Mendelian Randomization Study of Whole Blood Viscosity and Cardiovascular Diseases 95%
- Actionable absolute risk prediction of atherosclerotic cardiovascular disease: a behavior-management approach based on data from 464,547 UK Biobank participants 95%
- Genetic Variant rs1205 is Associated with COVID-19 Outcomes: The Strong Heart Study and Strong Heart Family Study 94%
Similar papers in this journal
- Markers of systemic iron status show sex-specific differences in peripheral artery disease: a cross-sectional analysis of HEIST-DiC and NHANES participants 94%
- Apolipoprotein E genotype, lifestyle and coronary artery disease: gene-environment interaction analyses in the UK Biobank population 94%
- Insulin resistance potentiates the effect of remnant cholesterol on cardiovascular mortality in individuals without diabetes 94%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.