Alexander R Zheutlin , Alexander Chaitoff , Daniel Addo , Adam P Bress
{"title":"Self-perceived bodyweight status among adults who are overweight or have obesity, with and without high cardiovascular risk","authors":"Alexander R Zheutlin , Alexander Chaitoff , Daniel Addo , Adam P Bress","doi":"10.1016/j.ajpc.2026.101422","DOIUrl":"10.1016/j.ajpc.2026.101422","url":null,"abstract":"<div><h3>Background</h3><div>Accurate self-perception of body weight status is important for patient engagement and effective management of overweight and obesity. We estimated the prevalence of misperceived weight status and lack of clinician counseling among US adults who meet criteria for being overweight or obese.</div></div><div><h3>Methods</h3><div>Pooled cross-sectional analysis of the National Health and Nutrition Examination Survey (NHANES) from 2013 through March 2020. Adults aged ≥20 years with measured body mass index (BMI) and self-reported weight status were included. Our primary exposure was BMI categorized as: 1) overweight (25–29.9 kg/m²), 2) class I obesity (30–34.9 kg/m²), 3) class II obesity (35–39.9 kg/m²), or 4) class III obesity (≥40 kg/m²). Sensitivity analysis redefined overweight as 27.0–29.9 kg/m² as well as restricting to those with an elevated BMI and waist circumference (102 cm for men and 88 cm for women). Our primary outcome was the proportion of respondents who did not perceive themselves to be overweight. Secondary outcomes included the proportion reporting a clinician-recommendation to lose weight. We used multivariable survey–weighted Poisson regression (adjusted prevalence ratios [aPRs]) to describe trends over time. We stratified analyses by presence of cardiovascular disease (CVD) and diabetes, separately.</div></div><div><h3>Results</h3><div>Among 16,124 NHANES participants with BMI ≥25.0 kg/m² (representing approximately 182 million US adults), 20.5% were classified as overweight (25.0–29.9 kg/m²), 14.4% as class I obese (30.0–34.9 kg/m²), 4.8% as class II obese (35.0–39.9 kg/m²), and 3.2% as class III obese (≥40.0 kg/m²). The prevalence of adults who did not perceive themselves as overweight was highest among those classified as overweight (48.0%) and declined with increasing BMI category: 17.5% among those with class I obesity, 6.2% with class II obesity, and 3.1% with class III obesity. In contrast, clinician recommendation to lose weight increased with BMI: 17.2% of those with overweight, 42.6% with class I obesity, 57.4% with class II obesity, and 71.3% with class III obesity reported receiving such advice within the past 12 months.</div></div><div><h3>Conclusions</h3><div>Nearly one-third of all US adults who are overweight or obese do not perceive themselves to be overweight and a significant portion have not been recommended to lose weight by a clinician. Gaps between patient perceptions about their weight and their weight status reflect a critical opportunity for intervention in preventive care.</div></div>","PeriodicalId":72173,"journal":{"name":"American journal of preventive cardiology","volume":"26 ","pages":"Article 101422"},"PeriodicalIF":5.9,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145980732","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Addressing patient concerns about the ‘newness’ and long-term safety of GLP-1 receptor agonists: A clinician’s guide to counseling","authors":"Priyansh P. Shah , Romit Bhattacharya","doi":"10.1016/j.ajpc.2026.101418","DOIUrl":"10.1016/j.ajpc.2026.101418","url":null,"abstract":"<div><div>Glucagon-like peptide-1 receptor agonists (GLP-1RAs) have transformed the management of type 2 diabetes, obesity and cardiovascular health, yet some patients remain hesitant to start these therapies due to perceptions that they are “new” or unproven. This commentary equips clinicians with practical counseling strategies to reframe the “newness” narrative and address long-term safety concerns. We provide a brief history of GLP-1 from its discovery in the 1980s to nearly two decades of clinical use, underscoring that GLP-1RAs are the product of extensive research rather than experimental novelties. We compare native GLP-1 to newer agents like semaglutide and tirzepatide, highlighting structural modifications that prolong action without fundamentally altering the hormone’s mechanism. Known safety data are summarized emphasizing the predominance of mild, transient gastrointestinal side effects and the lack of evidence for feared risks like cancer along with how to discuss these points. A practical counseling checklist and sample patient-centric language are included to facilitate shared decision-making. In sum, clinicians can confidently reassure patients that GLP-1RAs are well-studied, mechanism-based therapies with millions of patient-years of experience supporting their safety and efficacy.</div></div>","PeriodicalId":72173,"journal":{"name":"American journal of preventive cardiology","volume":"26 ","pages":"Article 101418"},"PeriodicalIF":5.9,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145980831","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Dongjin Nam , Yong-Hwan Jang , So Jung Ryu , Sahil Thakur , Simon Nusinovici , Junseok Park , Moonsu Kim , Sunjin Hwang
{"title":"Artificial intelligence based retinal imaging for cardiovascular risk and statin guidance in retinal vein occlusion","authors":"Dongjin Nam , Yong-Hwan Jang , So Jung Ryu , Sahil Thakur , Simon Nusinovici , Junseok Park , Moonsu Kim , Sunjin Hwang","doi":"10.1016/j.ajpc.2026.101427","DOIUrl":"10.1016/j.ajpc.2026.101427","url":null,"abstract":"","PeriodicalId":72173,"journal":{"name":"American journal of preventive cardiology","volume":"26 ","pages":"Article 101427"},"PeriodicalIF":5.9,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146038963","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Prasantha L Vemu , Tali Elfassy , Nikki Nikzad , Daniel Seung Kim , Nilay S. Shah , James S Floyd , Eugene Yang
{"title":"Cardiovascular disease risk factors by age strata among Asian American groups","authors":"Prasantha L Vemu , Tali Elfassy , Nikki Nikzad , Daniel Seung Kim , Nilay S. Shah , James S Floyd , Eugene Yang","doi":"10.1016/j.ajpc.2026.101484","DOIUrl":"10.1016/j.ajpc.2026.101484","url":null,"abstract":"","PeriodicalId":72173,"journal":{"name":"American journal of preventive cardiology","volume":"26 ","pages":"Article 101484"},"PeriodicalIF":5.9,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147702763","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Preventive cardiology at an inflection point","authors":"Michael D. Shapiro","doi":"10.1016/j.ajpc.2026.101550","DOIUrl":"10.1016/j.ajpc.2026.101550","url":null,"abstract":"","PeriodicalId":72173,"journal":{"name":"American journal of preventive cardiology","volume":"26 ","pages":"Article 101550"},"PeriodicalIF":5.9,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147706774","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Fellows voice: The sound of prevention: A new frontier in preventive cardiology education","authors":"Keerthana Pakanati","doi":"10.1016/j.ajpc.2026.101564","DOIUrl":"10.1016/j.ajpc.2026.101564","url":null,"abstract":"","PeriodicalId":72173,"journal":{"name":"American journal of preventive cardiology","volume":"26 ","pages":"Article 101564"},"PeriodicalIF":5.9,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147706776","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Sofia Mongardi , Martino F. Pengo , Carolina Lombardi , Patrizia Steca , Marco Masseroli
{"title":"Understanding the impact of sleep on cardiovascular risk estimation: comparison of LS7 and LE8 performances in a European population","authors":"Sofia Mongardi , Martino F. Pengo , Carolina Lombardi , Patrizia Steca , Marco Masseroli","doi":"10.1016/j.ajpc.2026.101424","DOIUrl":"10.1016/j.ajpc.2026.101424","url":null,"abstract":"<div><h3>Background</h3><div>Tools like Life’s Simple 7 (LS7) can help estimate the risk of cardiovascular events in healthy subjects. Recently, the Life’s Essential 8 (LE8) was developed, including sleep as an additional variable for a more precise cardiovascular risk estimation. However, it is unclear whether such an increase in complexity is associated with an improvement in the score’s performance. We aimed to test the LS7 and LE8 in a European cohort in order to understand whether adding subjective sleep information could allow a better cardiovascular risk stratification.</div></div><div><h3>Methods</h3><div>UK Biobank data were used for computing the cardiovascular scores. Sleep duration was evaluated through questionnaires. The cardiovascular outcomes were fatal and non-fatal CVD events. Multivariable-adjusted logistic and Cox proportional hazards models were used to evaluate associations of the different metrics with CVD prevalence and incidence. The c-statistic was used to quantify differences in incident CVD discrimination.</div></div><div><h3>Results</h3><div>A cohort of 106,724 participants (mean age: 55.9 years, 55% males) included 6,130 prevalent and 11,575 incident CVD events (mean follow-up: 12.9 ± 2.7 years). CVH metrics were categorised into tertiles. LS7- and LE8-based metrics effectively characterised prevalent and incident CVD events. LS7 models had similar C-statistics with (0.705, 95% CI: 0.701–0.709) and without (0.706, 95% CI: 0.702–0.710) sleep data. LE8 without sleep (0.708, 95% CI: 0.704–0.712) outperformed LS7 without sleep by 0.002 (95% CI: 0.001–0.003, p < 0.05). However, standard LE8 with sleep (0.706, 95% CI: 0.702–0.710) showed no significant difference from LS7.</div></div><div><h3>Conclusions</h3><div>In a European cohort, LS7 and LE8 are useful tools for risk stratification. However, despite the LE8 offering marginally better risk stratification than LS7, the inclusion of subjective sleep did not provide a tangible advantage.</div></div>","PeriodicalId":72173,"journal":{"name":"American journal of preventive cardiology","volume":"26 ","pages":"Article 101424"},"PeriodicalIF":5.9,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146038974","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Abhishek Gami , Siyu Zou , Zeina A. Dardari , Ramzi Dudum , Yejin Mok , Matthew J. Budoff , Pamela L. Lutsey , Candace M. Howard , David Couper , Kunihiro Matsushita , Michael J. Blaha
{"title":"Predictors of diffuse coronary artery calcium phenotype in adults aged ≥ 75: The Atherosclerosis Risk in Communities (ARIC) study","authors":"Abhishek Gami , Siyu Zou , Zeina A. Dardari , Ramzi Dudum , Yejin Mok , Matthew J. Budoff , Pamela L. Lutsey , Candace M. Howard , David Couper , Kunihiro Matsushita , Michael J. Blaha","doi":"10.1016/j.ajpc.2026.101412","DOIUrl":"10.1016/j.ajpc.2026.101412","url":null,"abstract":"<div><h3>Introduction</h3><div>Coronary artery calcium (CAC) scoring is a commonly used tool for cardiovascular disease (CVD) risk assessment and is reported using the Agatston score. However, there has been increasing interest in measures of CAC beyond the Agatston score, including measures capturing the overall distribution of vessel calcification. We assessed the association between 30-year traditional risk factor exposure and the presence of a more diffuse pattern of CAC in older adults aged 75 and older.</div></div><div><h3>Methods</h3><div>We studied participants in the Atherosclerosis Risk in Communities (ARIC) study who underwent CAC scoring and were free of prior CVD. Time-weighted average exposure to traditional cardiovascular risk factors (over 30 years) was calculated. The CAC diffusivity index was calculated for each participant as 1 - (CAC in most affected vessel/total CAC) to capture distribution of calcification, and associations between traditional risk factors and more diffuse CAC patterns were studied.</div></div><div><h3>Results</h3><div>In 2201 participants (mean age 80, 61.8% women), time-averaged exposure to systolic blood pressure (SBP), low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C), ever smoking, male sex, and limited education were independently associated with more diffuse CAC (<em>p</em> < 0.05).</div></div><div><h3>Conclusion</h3><div>Longitudinal exposure to traditional CVD risk factors including higher SBP, higher LDL-C, lower HDL-C, and smoking was associated with a more diffuse pattern of CAC in a population of adults aged 75 and older.</div></div>","PeriodicalId":72173,"journal":{"name":"American journal of preventive cardiology","volume":"26 ","pages":"Article 101412"},"PeriodicalIF":5.9,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145928855","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}