Background: Cross-sectional measures of body mass index (BMI) are associated with cardiovascular disease (CVD) incidence, but less is known about whether weight change affects the risk of CVD.
Methods: We estimated the effect of 2-y weight change interventions on 7-y risk of CVD (CVD death, myocardial infarction, stroke, hospitalization from coronary heart disease, and heart failure) by emulating hypothetical interventions using electronic health records. We identified 138,567 individuals with 45-69 years of age without chronic disease in England from 1998 to 2016. We performed pooled logistic regression, using inverse-probability weighting to adjust for baseline and time-varying confounders. We categorized each individual into a weight loss, maintenance, or gain group.
Results: Among those of normal weight, both weight loss [risk difference (RD) vs. weight maintenance = 1.5% (0.3% to 3.0%)] and gain [RD = 1.3% (0.5% to 2.2%)] were associated with increased risk for CVD compared with weight maintenance. Among overweight individuals, we observed moderately higher risk of CVD in both the weight loss [RD = 0.7% (-0.2% to 1.7%)] and the weight gain group [RD = 0.7% (-0.1% to 1.7%)], compared with maintenance. In the obese, those losing weight showed lower risk of coronary heart disease [RD = -1.4% (-2.4% to -0.6%)] but not of stroke. When we assumed that chronic disease occurred 1-3 years before the recorded date, estimates for weight loss and gain were attenuated among overweight individuals; estimates for loss were lower among obese individuals.
Conclusion: Among individuals with obesity, the weight-loss group had a lower risk of coronary heart disease but not of stroke. Weight gain was associated with increased risk of CVD across BMI groups. See video abstract at, http://links.lww.com/EDE/B838.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8318567 | PMC |
http://dx.doi.org/10.1097/EDE.0000000000001393 | DOI Listing |
Nutr Metab Cardiovasc Dis
December 2024
Department of Geriatrics Cardiology, The Second Affiliated Hospital, School of Medicine, Xi'an Jiaotong University, Xi'an, Shaanxi, 710004, China. Electronic address:
Background And Aim: The Naples Prognostic Score (NPS) predicts outcomes in various diseases, but its impact on cardiovascular disease (CVD) is understudied. This study investigates the association between NPS and CVD prevalence and mortality among US adults.
Methods And Results: This study utilized data from the Continuous National Health and Nutrition Examination Survey (NHANES) conducted between 1999 and 2016, with mortality follow-up data available through December 31, 2019.
Atherosclerosis
December 2024
The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Center for Genomic Data Analytics, Icahn School of Medicine at Mount Sinai, New York, NY, USA. Electronic address:
Background And Aims: An in silico quantitative score of coronary artery disease (ISCAD), built using machine learning and clinical data from electronic health records, has been shown to result in gradations of risk of subclinical atherosclerosis, coronary artery disease (CAD) sequelae, and mortality. Large-scale metabolite biomarker profiling provides increased portability and objectivity in machine learning for disease prediction and gradation. However, these models have not been fully leveraged.
View Article and Find Full Text PDFLipids Health Dis
January 2025
Department of Ophthalmology, The First Affiliated Hospital of Nanchang University, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, People's Republic of China.
Background: Age-related macular degeneration (AMD) decrease vision and presents considerable challenges for both public health and clinical management strategies. Obesity is usually implicated with increased AMD, and body mass index (BMI) does not reflect body fat distribution. An array of studies has indicated a robust relationship between body fat distribution and obesity.
View Article and Find Full Text PDFJ Hum Hypertens
January 2025
Department of Pediatrics and Child Health, University of Ilorin, Ilorin, Nigeria.
SLAS Technol
January 2025
Department of General Medicine, The First Afiliated Hospital of Jinan University, Guangzhou, Guangdong, 510000, China. Electronic address:
Chronic kidney disease (CKD) significantly increases the risk of CVD diseases, particularly among elderly patients. Understanding the interaction between several biomarkers and cardiovascular (CVD) risks is crucial for improving patient outcomes and tailoring personalized treatment strategies. There is much more to learn about the intricate relationship between biomarkers and CVD risks in elderly CKD patients.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!