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He P, Li H, Liu M, Ye Z, Zhou C, Zhang Y, Yang S, Zhang Y, Qin X. Life's Essential 8 scores, socioeconomic deprivation, genetic susceptibility, and new-onset chronic kidney diseases. Chin Med J (Engl) 2025:00029330-990000000-01518. [PMID: 40223562 DOI: 10.1097/cm9.0000000000003491] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2024] [Indexed: 04/15/2025] Open
Abstract
BACKGROUND The American Heart Association recently released a new cardiovascular health (CVH) metric, Life's Essential 8 (LE8), for health promotion. However, the association between LE8 scores and the risk of chronic kidney disease (CKD) remains uncertain. We aimed to explore the association of LE8 scores with new-onset CKD and examine whether socioeconomic deprivation and genetic risk modify this association. METHODS A total of 286,908 participants from UK Biobank and without prior CKD were included between 2006 and 2010. CVH was categorized using LE8 scores: low (LE8 scores <50), moderate (LE8 scores ≥50 but <80), and high (LE8 scores ≥80). The study outcome was new-onset CKD, ascertained by data linkage with primary care, hospital inpatient, and death data. Cox proportional hazard regression models were used to investigate the association between CVH categories and new-onset CKD. RESULTS During a median follow-up of 12.5 years, 8857 (3.1%) participants developed new-onset CKD. Compared to the low CVH group, the moderate (adjusted hazards ratio [HR], 0.50; 95% confidence interval [CI]: 0.47-0.53) and high CVH (adjusted HR, 0.31; 95% CI: 0.27-0.34) groups had a significantly lower risk of developing new-onset CKD. The population-attributable risk associated with high vs. intermediate or low CVH scores was 40.3%. Participants who were least deprived (vs. most deprived; adjusted HR, 0.75; 95% CI: 0.71-0.79) and with low genetic risk of CKD (vs. high genetic risk; adjusted HR, 0.89; 95% CI: 0.85-0.94) had a significantly lower risk of developing new-onset CKD. However, socioeconomic deprivation and genetic risks of CKD did not significantly modify the relationship between LE8 scores and new-onset CKD (both P-interaction >0.05). CONCLUSION Achieving a higher LE8 score was associated with a lower risk of developing new-onset CKD, regardless of socioeconomic deprivation and genetic risks of CKD.
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Affiliation(s)
- Panpan He
- Division of Nephrology, Nanfang Hospital, Southern Medical University, National Clinical Research Center for Kidney Disease, State Key Laboratory of Organ Failure Research, Guangdong Provincial Institute of Nephrology, Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou, Guangdong 510515, China
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St-Onge MP, Aggarwal B, Fernandez-Mendoza J, Johnson D, Kline CE, Knutson KL, Redeker N, Grandner MA. Multidimensional Sleep Health: Definitions and Implications for Cardiometabolic Health: A Scientific Statement From the American Heart Association. Circ Cardiovasc Qual Outcomes 2025:e000139. [PMID: 40223596 DOI: 10.1161/hcq.0000000000000139] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 04/15/2025]
Abstract
Poor sleep health is associated with cardiometabolic disease and related risk factors, including heart disease, stroke, elevated blood pressure and lipid levels, inflammation, glucose intolerance, obesity, physical inactivity, poor diet, unhealthy substance use, poor mental health, and increased all-cause and cardiovascular mortality, and is associated with social determinants of cardiovascular health and health disparities. Therefore, sleep duration has been recognized by the American Heart Association as one of Life's Essential 8. Although chronic sleep duration is the sole metric used in Life's Essential 8, sleep health represents a multidimensional construct. This scientific statement outlines the concept of multidimensional sleep health (sleep duration, continuity, timing, regularity, sleep-related daytime functioning, architecture, and absence of sleep disorders) as it applies to cardiometabolic health. Considerations of how these dimensions are related to cardiometabolic health and patterned by sociodemographic status are explained, and knowledge gaps are highlighted. Additional data are needed to understand better how these various dimensions of sleep should be assessed and how interventions targeting sleep health in clinical and community settings can be leveraged to improve health.
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Grosicki GJ, Fielding F, Kim J, Chapman CJ, Olaru M, von Hippel W, Holmes KE. Wearing WHOOP More Frequently Is Associated with Better Biometrics and Healthier Sleep and Activity Patterns. SENSORS (BASEL, SWITZERLAND) 2025; 25:2437. [PMID: 40285124 PMCID: PMC12030945 DOI: 10.3390/s25082437] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/26/2025] [Revised: 04/08/2025] [Accepted: 04/10/2025] [Indexed: 04/29/2025]
Abstract
Wearable devices are increasingly used for health monitoring, yet the impact of consistent wear on physiological and behavioral outcomes is unclear. Leveraging nearly a million days and nights of longitudinal data from 11,914 subscribers, we examined the associations between the frequency of wearing a wrist-worn wearable device (WHOOP Inc., Boston, MA, USA) and 12-week changes in biometric, sleep, and activity profiles, modeling both between- and within-person effects. Higher average wear frequency and week-to-week increases in wear were associated with a lower resting heart rate (RHR), higher heart rate variability (HRV), longer and more consistent sleep, and greater weekly and daily physical activity duration (Ps < 0.01). A within-person multiple mediation analysis indicated that increased sleep duration partially mediated the association between wear frequency and a standardized (z-scored) RHR (indirect effect = -0.0387 [95% CI: -0.0464, -0.0326]), whereas physical activity minutes did not (indirect effect = 0.0003 [95% CI: -0.0036, 0.0040]). A Granger causality analysis revealed a modest but notable association between prior wear frequency and future RHR in participants averaging ≤5 days of weekly wear (p < 0.05 in 10.92% of tests). While further research is needed, our findings provide real-world evidence that sustained wearable engagement may support healthier habits and improved physiological outcomes over time.
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Affiliation(s)
- Gregory J. Grosicki
- Performance Science, WHOOP Inc., Boston, MA 02215, USA; (G.J.G.); (F.F.); (J.K.); (C.J.C.); (W.v.H.)
| | - Finnbarr Fielding
- Performance Science, WHOOP Inc., Boston, MA 02215, USA; (G.J.G.); (F.F.); (J.K.); (C.J.C.); (W.v.H.)
| | - Jeongeun Kim
- Performance Science, WHOOP Inc., Boston, MA 02215, USA; (G.J.G.); (F.F.); (J.K.); (C.J.C.); (W.v.H.)
| | - Christopher J. Chapman
- Performance Science, WHOOP Inc., Boston, MA 02215, USA; (G.J.G.); (F.F.); (J.K.); (C.J.C.); (W.v.H.)
| | - Maria Olaru
- Research Algorithms and Development, WHOOP Inc., Boston, MA 02215, USA;
| | - William von Hippel
- Performance Science, WHOOP Inc., Boston, MA 02215, USA; (G.J.G.); (F.F.); (J.K.); (C.J.C.); (W.v.H.)
- Research with Impact, Brisbane, QLD 4000, Australia
| | - Kristen E. Holmes
- Performance Science, WHOOP Inc., Boston, MA 02215, USA; (G.J.G.); (F.F.); (J.K.); (C.J.C.); (W.v.H.)
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Whitaker KM, Barone Gibbs B, Hivert MF, Makarem N, Moxley E, Vaught J, Evenson KR. Sedentary Behavior and Light-Intensity Physical Activity During Pregnancy and Cardiovascular Health: A Science Advisory From the American Heart Association. Circulation 2025. [PMID: 40207357 DOI: 10.1161/cir.0000000000001316] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 04/11/2025]
Abstract
The Physical Activity Guidelines for Americans supports sitting less and moving more. Growing evidence suggests that a waking behavior profile with less sedentary behavior and more light-intensity physical activity is associated with more favorable cardiovascular health. Remarkably, little is known about how these behaviors relate to cardiovascular health during pregnancy. The purpose of this American Heart Association science advisory is to describe the existing evidence on device-measured sedentary behavior and light-intensity physical activity in relation to cardiovascular health during pregnancy and to make specific calls to action for future research to improve health outcomes and to promote health equity. Outcomes included adverse pregnancy outcomes associated with increased risk of cardiovascular disease and the American Heart Association's Life's Essential 8 health factor components (blood pressure, lipids, glucose, and gestational weight gain). Findings from observational studies are mixed, with preliminary evidence demonstrating an association between high sedentary behavior and increased risk of hypertensive disorders of pregnancy, shorter gestational age at delivery, low or high birth weight, and elevated maternal blood pressure, lipids, glucose, and gestational weight gain. Findings for light-intensity physical activity are limited by fewer studies and are less compelling. Experimental evidence evaluating the impact of decreasing sedentary behavior or increasing light-intensity physical activity on pregnancy cardiovascular health is weak. Future observational studies with rigorous longitudinal designs and larger, diverse samples are needed to characterize associations and to inform the design of adequately powered randomized controlled trials testing the impact of decreasing sedentary behavior and increasing light-intensity physical activity on cardiovascular health during pregnancy.
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Wu Z, Xu P, Zhai Y, Mahe J, Guo K, Olawole W, Zhu J, Han J, Bai G, Zhang L. The Association of Elevated Depression Levels and Life's Essential 8 on Cardiovascular Health With Predicted Machine Learning Models and Interpretations: Evidence From NHANES 2007-2018. Depress Anxiety 2025; 2025:8865176. [PMID: 40255861 PMCID: PMC12006683 DOI: 10.1155/da/8865176] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/06/2024] [Accepted: 03/10/2025] [Indexed: 04/22/2025] Open
Abstract
Background and Objective: The association between depression severity and cardiovascular health (CVH) represented by Life's Essential 8 (LE8) was analyzed, with a novel focus on ranked levels and different ages. Machine learning (ML) algorithms were also selected aimed at providing predictions to suggest practical recommendations for public awareness and clinical treatment. Methods: We included 21,279 eligible participants from the National Health and Nutrition Examination Survey (NHANES) 2007-2018. Weighted ordinal logistic regression (LR) was utilized with further sensitivity and dose-response analysis, and ML algorithms were analyzed with SHapley Additive exPlanations (SHAP) applied to make interpretable results and visualization. Results: Our studies demonstrated an inverse relationship between LE8 and elevated depressive levels, with robustness confirmed through subgroup and interaction analysis. Age-specific findings revealed middle-aged and older adults (aged 40-60 and over 60) which showed higher depresion severity, highlighting the need for greater awareness and targeted interventions. Eight ML algorithms were selected to provide predictive results, and further SHAP would become ideal supplement to increase model interpretability. Conclusions: Our studies demonstrated a negative association between LE8 and elevated depressive levels and provided a suite of ML predictive models, which would generate recommendations toward clinical implications and subjective interventions.
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Affiliation(s)
- Zhixing Wu
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
- Mailman School of Public Health (Biostatistics Track), Columbia University, New York, USA
| | - Pengyuan Xu
- School of Engineering, Monash University, Melbourne, Australia
| | - Yali Zhai
- Mailman School of Public Health (Biostatistics Track), Columbia University, New York, USA
| | - Jinli Mahe
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Kai Guo
- School of Public Health and Baotou Medical College, Inner Mongolia University of Science and Technology, Inner Mongolia, China
| | | | - Jiahao Zhu
- Department of Outpatient Chemotherapy, Harbin Medical University Affiliated Hospital, Harbin, China
| | - Jin Han
- Division of Arts and Sciences and Center for Global Health Equity, New York University Shanghai, Shanghai, China
- Black Dog Institute, University of New South Wales, Sydney, Australia
| | - Guannan Bai
- Children's Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Lin Zhang
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
- Suzhou Industrial Park Monash Research Institute of Science and Technology, Monash University, Suzhou, China
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Hsu R, Eiselt AK, Kompala T. Expanding lifestyle intervention beyond "Diet and Exercise" in the GLP-1RA era. Int J Obes (Lond) 2025:10.1038/s41366-025-01767-9. [PMID: 40211058 DOI: 10.1038/s41366-025-01767-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/23/2024] [Revised: 03/11/2025] [Accepted: 03/24/2025] [Indexed: 04/12/2025]
Affiliation(s)
- Robert Hsu
- Teladoc Health, 2 Manhattanville Rd, Purchase, NY, 10577, USA.
| | | | - Tejaswi Kompala
- Teladoc Health, 2 Manhattanville Rd, Purchase, NY, 10577, USA
- University of Utah Health, 615 Arapeen Dr, Salt Lake City, UT, 84108, USA
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Gerhardt T, Huynh P, McAlpine CS. Neuroimmune circuits in the plaque and bone marrow regulate atherosclerosis. Cardiovasc Res 2025; 120:2395-2407. [PMID: 39086175 PMCID: PMC11976727 DOI: 10.1093/cvr/cvae167] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/14/2024] [Revised: 05/02/2024] [Accepted: 06/01/2024] [Indexed: 08/02/2024] Open
Abstract
Atherosclerosis remains the leading cause of death globally. Although its focal pathology is atheroma that develops in arterial walls, atherosclerosis is a systemic disease involving contributions by many organs and tissues. It is now established that the immune system causally contributes to all phases of atherosclerosis. Recent and emerging evidence positions the nervous system as a key modulator of inflammatory processes that underlie atherosclerosis. This neuroimmune cross-talk, we are learning, is bidirectional, and immune-regulated afferent signalling is becoming increasingly recognized in atherosclerosis. Here, we summarize data and concepts that link the immune and nervous systems in atherosclerosis by focusing on two important sites, the arterial vessel and the bone marrow.
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Affiliation(s)
- Teresa Gerhardt
- Cardiovascular Research Institute and the Department of Medicine, Cardiology, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York, NY 10029, USA
- Friedman Brain Institute and the Nash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York, NY 10029, USA
- Marc and Jennifer Lipschultz Precision Immunology Institute, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York, NY 10029, USA
- Friede Springer Center for Cardiovascular Prevention at Charité, Berlin, Germany
| | - Pacific Huynh
- Cardiovascular Research Institute and the Department of Medicine, Cardiology, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York, NY 10029, USA
- Friedman Brain Institute and the Nash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York, NY 10029, USA
- Marc and Jennifer Lipschultz Precision Immunology Institute, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York, NY 10029, USA
| | - Cameron S McAlpine
- Cardiovascular Research Institute and the Department of Medicine, Cardiology, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York, NY 10029, USA
- Friedman Brain Institute and the Nash Family Department of Neuroscience, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York, NY 10029, USA
- Marc and Jennifer Lipschultz Precision Immunology Institute, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York, NY 10029, USA
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Yang C, Cheng W, Plum PS, Lordick F, Köppe J, Gockel I, Thieme R. Life's essential 8 and specific cancer risk and mortality in men and women: a population-based cohort analysis of 332,417 United Kingdom participants. BMC Cancer 2025; 25:632. [PMID: 40200269 PMCID: PMC11980174 DOI: 10.1186/s12885-025-14048-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2024] [Accepted: 03/31/2025] [Indexed: 04/10/2025] Open
Abstract
BACKGROUND This study aimed to explore the association between Life's Essential 8 (LE8) and the risk of cancer occurrence and cancer-associated mortality across 24 cancer types. The cardiovascular health (CVH) score is constructed based on the overall LE8 score, providing a more direct measure of CVH and its potential relationship with cancer risk. METHODS This cohort enrolled participants from a prospective cohort of the United Kingdom Biobank, including individuals aged 37-73 years, with 332,417 cancer-free participants. CVH scores were assessed using the LE8 metrics. The primary outcome of this study was the risk of cancer events, and the secondary outcome was cancer mortality. Competitive models were used to examine the associations between each 10-point increment in the CVH score and the outcomes, with stratified analyses conducted for both men and women to assess sex differences. RESULTS The mean CVH score was 64.4(55.6,72.5) in men and 70.0 (61.2,78.1) in women (P < 0.001). During a mean follow-up time of 12.0 years, 12.32% (95% confidence interval [CI]: 12.21-12.43%) of participants developed cancer, and 2.13% (95% CI: 2.08-2.18%) died from cancer. A 10-point rise in CVH score was negatively associated with overall cancer occurrence in men (hazard ratio [HR]: 0.97, 95% CI: 0.96-0.98) and women (HR: 0.96, 95% CI: 0.95-0.97), along with reduced cancer mortality risk in both sexes. Moreover, sex differences were observed in the impact of a 10-point CVH increase on esophageal, gastric, colorectal, and liver cancers. CONCLUSIONS Lower CVH scores were associated with an increased overall cancer risk and higher cancer-related mortality, highlighting the need for cancer screening in patients with low CVH scores.
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Affiliation(s)
- Chuang Yang
- Department of Visceral, Transplant, Thoracic and Vascular Surgery, University Hospital Leipzig, Leipzig, Germany
| | - Wenke Cheng
- Medical Faculty, University of Leipzig, Leipzig, Germany
| | - Patrick S Plum
- Department of Visceral, Transplant, Thoracic and Vascular Surgery, University Hospital Leipzig, Leipzig, Germany
| | - Florian Lordick
- Department of Oncology, Gastroenterology, Hepatology and Pulmonology, University Hospital Leipzig, Leipzig, Germany
| | - Jeanette Köppe
- Institute of Biostatistics and Clinical Research, University of Muenster, Muenster, Germany
| | - Ines Gockel
- Department of Visceral, Transplant, Thoracic and Vascular Surgery, University Hospital Leipzig, Leipzig, Germany
| | - René Thieme
- Department of Visceral, Transplant, Thoracic and Vascular Surgery, University Hospital Leipzig, Leipzig, Germany.
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Wang J, Wu S, Li L, Wu J, Meng S, Qin X, Chen X, Wu S, Shi J, Bao Y, Wang F. The role of the control of "life's essential 8" for prevention on heart failure and all-cause mortality in patients with hypertension: the Kailuan cohort study. BMC Public Health 2025; 25:1322. [PMID: 40200231 PMCID: PMC11980293 DOI: 10.1186/s12889-025-22422-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2024] [Accepted: 03/20/2025] [Indexed: 04/10/2025] Open
Abstract
BACKGROUND Hypertension can lead to an increased risk of heart failure and death. The life's essential 8 (LE8) is an eight-factor measure of cardiovascular health recently released by the American Heart Association for use in measuring cardiovascular health. However, evidence on the beneficial effects and necessity of LE8 control is still lacking, especially for hypertension. METHODS The study population was drawn from the Kailuan cohort, hypertensive population at baseline with the non-hypertensive population matched 1:1 according to age and sex were involved in this analysis. The cut off value for each factor in LE8 was 50 (≥ 50 as controlled, < 50 as uncontrolled). The primary outcomes involved heart failure and all-cause mortality. Cox proportional risk regression models were used to analyze the relationship between the degree of LE8 control and the risk of heart failure and all-cause mortality among hypertensive participants. Hazard ratio (HR) and 95% confidence interval (95% CI) were calculated. RESULTS A baseline population of 69,032 Kailuan cohort with a mean age of 53.08 years (SD 10.59) was included in the study. During a mean follow-up period of 13.17 years (SD 2.57), 1308 (3.8%) heart failures and 5391 (15.6%) deaths occurred among hypertensive patients. In the hypertensive population, there was a negative dose response between the degree of LE8 control and the risk of heart failure or death (P for trend < 0.001). Compared with the group with the control less than or equal to 2 risk factors of LE8, the group with 6 or more risk factors of control had a 55% lower risk of heart failure (HR 0.45, 95% CI 0.26-0.77; P < 0.05) and a 31% lower risk of death (HR 0.69, 95% CI 0.50-0.93; P < 0.05). Compared with the non-hypertensive population, the risk of heart failure and death decreased with increasing of the number of risk factor controlled in LE8, down to a minimum of 1.27-fold (HR 1.27, 95%CI 1.13-1.42; P < 0.05) and 1.25-fold (HR 1.25, 95%CI 1.19-1.32; P < 0.05), respectively. In addition, the association between hypertension and heart failure or mortality was higher in participants aged < 60 years compared with older individuals (P for interaction < 0.05). CONCLUSIONS Enhanced control of LE8 is significantly associated with a reduced risk of heart failure and mortality in hypertensive patients, as well as a decreased likelihood of hypertension-related heart failure or mortality.
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Affiliation(s)
- Jing Wang
- Institute of Advanced Clinical Medicine, Peking University, Beijing, China
| | - Shuilin Wu
- School of Public Health, Peking University, Beijing, 100191, China
- National Institute on Drug Dependence and Beijing Key Laboratory of Drug Dependence, Peking University, Beijing, 100191, China
| | - Liuxin Li
- Health Care Center, Kailuan Medical Group, Tangshan, China
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China
| | - Jing Wu
- Chinese Center for Health Education, Beijing, 100191, China
| | - Shiqiu Meng
- School of Public Health, Peking University, Beijing, 100191, China
| | - Xueying Qin
- National Institute on Drug Dependence and Beijing Key Laboratory of Drug Dependence, Peking University, Beijing, 100191, China
| | - Xin Chen
- School of Public Health, Peking University, Beijing, 100191, China
- National Institute on Drug Dependence and Beijing Key Laboratory of Drug Dependence, Peking University, Beijing, 100191, China
| | - Shoulin Wu
- Health Care Center, Kailuan Medical Group, Tangshan, China
| | - Jie Shi
- National Institute on Drug Dependence and Beijing Key Laboratory of Drug Dependence, Peking University, Beijing, 100191, China.
| | - Yanping Bao
- National Institute on Drug Dependence and Beijing Key Laboratory of Drug Dependence, Peking University, Beijing, 100191, China.
| | - Feng Wang
- Chinese Center for Health Education, Beijing, 100191, China.
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Kou M, Li X, Ma H, Wang X, Heianza Y, Manson JE, Qi L. Life satisfaction as compared with traditional risk factors in relation to incident cardiovascular diseases. Eur J Epidemiol 2025:10.1007/s10654-025-01225-w. [PMID: 40195207 DOI: 10.1007/s10654-025-01225-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2023] [Accepted: 03/18/2025] [Indexed: 04/09/2025]
Abstract
BACKGROUND Emerging evidence suggests a role of psychological well-being in the development of cardiovascular disease (CVD), but supportive data remain limited. This study assessed the prospective associations between life satisfaction and incident CVD, as well as the relative importance of life satisfaction compared to traditional risk factors. METHODS The study included 153,810 participants free of CVD at baseline, with measurements of life satisfaction on general happiness, personal health, family relationships, friendships, and financial situation, followed up until December 31, 2022. Cox proportional hazards models were used to estimate associations between life satisfaction and incident CVD. The relative importance of life satisfaction in predicting CVD was measured by explained R2 values. RESULTS During a median follow-up of 12.9 years, 14,370 incident CVD events occurred, including 10,070 CHD and 2,895 strokes. Individuals with low life satisfaction had an 80% higher risk of CVD compared to those with high life satisfaction (hazard ratio [95% confidence interval], 1.84 [1.63-2.07] for CVD, 1.83 [1.59-2.10] for CHD, and 1.74 [1.31-2.31] for stroke). Life satisfaction was ranked as the fourth-strongest CVD risk factor, following hypertension, race, and income. Low satisfaction with all individual aspects was significantly associated with higher risks of CVD and CHD (P < 0.05), while satisfaction with personal health showing the strongest association. CONCLUSIONS This study indicates that life satisfaction is robustly associated with incident CVD and may be considered one of the strongest predictors of CVD risk, alongside traditional risk factors. Our findings support the inclusion of life satisfaction in cardiovascular health metrics.
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Affiliation(s)
- Minghao Kou
- Department of Epidemiology, Celia Scott Weatherhead School of Public Health and Tropical Medicine, Tulane University, 1440 Canal Street, Suite 1724, New Orleans, LA, 70112, USA
| | - Xiang Li
- Department of Epidemiology, Celia Scott Weatherhead School of Public Health and Tropical Medicine, Tulane University, 1440 Canal Street, Suite 1724, New Orleans, LA, 70112, USA
- Division of Endocrinology, Diabetes and Metabolism, Department of Medicine, College of Medicine, University of Illinois Chicago, Chicago, IL, USA
| | - Hao Ma
- Department of Epidemiology, Celia Scott Weatherhead School of Public Health and Tropical Medicine, Tulane University, 1440 Canal Street, Suite 1724, New Orleans, LA, 70112, USA
| | - Xuan Wang
- Department of Epidemiology, Celia Scott Weatherhead School of Public Health and Tropical Medicine, Tulane University, 1440 Canal Street, Suite 1724, New Orleans, LA, 70112, USA
| | - Yoriko Heianza
- Department of Epidemiology, Celia Scott Weatherhead School of Public Health and Tropical Medicine, Tulane University, 1440 Canal Street, Suite 1724, New Orleans, LA, 70112, USA
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - JoAnn E Manson
- Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Lu Qi
- Department of Epidemiology, Celia Scott Weatherhead School of Public Health and Tropical Medicine, Tulane University, 1440 Canal Street, Suite 1724, New Orleans, LA, 70112, USA.
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
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Li Y, Chen Y, Liu Y, Jiang Y, Zhao H, Wang W, Liao Y, Zhang H, Guo L, Fan B, Kwan ATH, McIntyre RS, Lu C, Han X. Longitudinal association between stigma and suicidal ideation among patients with major depressive disorder. J Affect Disord 2025; 381:427-435. [PMID: 40194627 DOI: 10.1016/j.jad.2025.04.036] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/04/2024] [Accepted: 04/04/2025] [Indexed: 04/09/2025]
Abstract
BACKGROUND To explore the longitudinal associations between stigma and suicidal ideation among patients with major depressive disorder (MDD). METHODS Data were from patients with MDD in the Depression Cohort in China. At baseline and weeks 4, 8, 12, 24, 48, and 72, the presence (yes and no) and severity (scores) of suicidal ideation were evaluated using the Beck Scale for Suicide Ideation, and stigma was assessed using the Depression Stigma Scale. Generalized linear mixed models were used to explore the association between stigma and suicidal ideation. RESULTS Among 1123 patients with a mean age of 27.9 (SD, 7.3) years, 71.1 % were female. Restricted cubic splines showed positive linear dose-response associations of personal stigma and perceived stigma with the likelihood and severity of suicidal ideation. The adjusted ORs (95 % CIs) for each 10 score increment in personal stigma and perceived stigma were 1.49 (1.18, 1.89) and 1.46 (1.20, 1.77) for the likelihood of suicidal ideation, respectively. The adjusted β coefficients (95 % CIs) for each 10 score increment in personal stigma and perceived stigma were 0.222 (0.121, 0.322) and 0.202 (0.123, 0.281) for suicidal ideation scores, respectively. LIMITATIONS Information on sigma, suicidal ideation, and potential covariates was self-reported, so reporting bias was inevitable. CONCLUSIONS In this longitudinal study in patients with MDD, more severe personal stigma and perceived stigma were associated with a higher likelihood of suicidal ideation and more severe suicidal ideation. These findings suggest that reducing personal stigma and perceived stigma may help prevent suicidal behavior among patients with MDD.
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Affiliation(s)
- Yanzhi Li
- Department of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China; Guangdong Provincial Key Laboratory of Food, Nutrition and Health, Sun Yat-sen University, Guangzhou, China
| | - Yan Chen
- Department of Psychiatry, Shenzhen Nanshan Center for Chronic Disease Control, Shenzhen, China
| | - Yifeng Liu
- Department of Psychiatry, Shenzhen Nanshan Center for Chronic Disease Control, Shenzhen, China
| | - Yingchen Jiang
- Department of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China; Guangdong Provincial Key Laboratory of Food, Nutrition and Health, Sun Yat-sen University, Guangzhou, China
| | - Hao Zhao
- Department of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China; Guangdong Provincial Key Laboratory of Food, Nutrition and Health, Sun Yat-sen University, Guangzhou, China
| | - Wanxin Wang
- Department of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China; Guangdong Provincial Key Laboratory of Food, Nutrition and Health, Sun Yat-sen University, Guangzhou, China
| | - Yuhua Liao
- Department of Psychiatry, Shenzhen Nanshan Center for Chronic Disease Control, Shenzhen, China
| | - Huimin Zhang
- Department of Psychiatry, Shenzhen Nanshan Center for Chronic Disease Control, Shenzhen, China
| | - Lan Guo
- Department of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China; Guangdong Provincial Key Laboratory of Food, Nutrition and Health, Sun Yat-sen University, Guangzhou, China
| | - Beifang Fan
- Department of Psychiatry, Shenzhen Nanshan Center for Chronic Disease Control, Shenzhen, China
| | - Angela T H Kwan
- Brain and Cognition Discovery Foundation, Toronto, Ontario, Canada; Faculty of Medicine, University of Ottawa, Ottawa, Ontario, Canada
| | - Roger S McIntyre
- Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada
| | - Ciyong Lu
- Department of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China; Guangdong Provincial Key Laboratory of Food, Nutrition and Health, Sun Yat-sen University, Guangzhou, China.
| | - Xue Han
- Department of Psychiatry, Shenzhen Nanshan Center for Chronic Disease Control, Shenzhen, China.
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Zhang Y, Guo J, Hu X, Xie H. Transition of nighttime sleep duration and sleep quality with incident cardiovascular disease among middle-aged and older adults: results from a national cohort study. Arch Public Health 2025; 83:91. [PMID: 40186318 PMCID: PMC11969775 DOI: 10.1186/s13690-025-01577-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2024] [Accepted: 03/24/2025] [Indexed: 04/07/2025] Open
Abstract
BACKGROUND Sleep health has recently been incorporated into the Life's Essential 8 of the American Heart Association. Little is known about the associations between changes in nighttime sleep behavior and healthy outcomes, especially for the elderly. This study explores associations between transition of nighttime sleep duration and sleep quality and cardiovascular diseases (CVD) among middle-aged and older adults in China. METHODS Data were derived from the China Health and Retirement Longitudinal Study from 2011 to 2018, and a total of 7,905 participants age ≥ 45 years were included. Participants were classified according to nighttime sleep duration (6-8, < 6 or > 8 h) and sleep quality assessed by the number of restless sleep days in the past week (< 3, 3-7 days). Four groups of the changing patterns in nighttime sleep duration and sleep quality between 2011 and 2015 were identified. CVD including heart disease and stroke was defined based on medical diagnosis. Robust Poisson regression and the restricted cubic spline were employed to evaluate the association between the transition of nighttime sleep behavior and the risk of CVD. RESULTS Compared to participants with consistently optimal nighttime sleep duration, those with consistently non-optimal (incidence rate ratio [IRR]: 1.36, 95% confidence interval [CI]: 1.15-1.61, P < 0.001), optimal to non-optimal (IRR: 1.20, 95% CI: 1.02-1.43, P = 0.032), or non-optimal to optimal (IRR: 1.23, 95% CI: 1.02-1.48, P = 0.026) transition in nighttime sleep duration had higher risks of CVD. Additionally, those with a good to poor (IRR: 1.42, 95% CI: 1.20-1.68, P < 0.001) or a consistently poor (IRR: 1.55, 95% CI: 1.32-1.83, P < 0.001) changing pattern in nighttime sleep quality were associated with an increased risk of CVD compared to those with a consistently good changing pattern. There was a U-shaped association between changes in nighttime sleep duration and the incidence of CVD in sleep-deprived people. Changes in sleep quality and the risk of CVD exhibited a linear association. CONCLUSIONS Persistent non-optimal nighttime sleep duration and poor sleep quality are associated with an increased risk of CVD in middle-aged and older adults. These findings highlight the importance of considering transitions in sleep behavior in CVD risk assessment for middle-aged and older adults, and emphasize the significance of long-term exposure to poor sleep behavior on their cardiovascular health.
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Affiliation(s)
- Yuan Zhang
- Shenzhen Health Education and Promotion Center, Shenzhen, Guangdong, China
| | - Junhong Guo
- Shenzhen Eye Hospital, Shenzhen Eye Center, Southern Medical University, 18 Zetian Road, Futian District, Shenzhen, Guangdong, China
| | - Xiangming Hu
- Department of Cardiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Hongbin Xie
- Shenzhen Eye Hospital, Shenzhen Eye Center, Southern Medical University, 18 Zetian Road, Futian District, Shenzhen, Guangdong, China.
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Wang L, Lin S, Wei Q, Li T, Mo Q, Bai R, Feng J, Zhan A, Yang X, Rong X, Guo J. Preventive Administration of Quercetin Promotes Survival and Reduces Adverse Ventricular Remodeling after myocardial infarction through facilitating M2-like macrophage polarization. Int Immunopharmacol 2025; 151:114296. [PMID: 39983422 DOI: 10.1016/j.intimp.2025.114296] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2024] [Revised: 02/06/2025] [Accepted: 02/11/2025] [Indexed: 02/23/2025]
Abstract
Myocardial infarction (MI) remains a leading cause of global health burden, and adverse cardiac remodeling after MI seriously affects patient recovery. Macrophages play an important role in the cardiac remodeling post-MI. Quercitrin (Que), a bioflavonoid commonly found in fruits, vegetables, and various Chinese medicines, possesses a therapeutic effect in MI, but whether it has a role in the prevention of MI is unclear. This study investigated the potential preventive value and mechanism of Que against MI. In this study, we treated adult male C57BL/6 mice with Que for 2 weeks and then constructed the MI model. We found that pre-treatment with Que improved cardiac fractional shortening and ejection fraction, and elevated the survival of mice after MI. In addition, pre-administration of Que attenuated cardiac hypertrophy and diminished the infarct size of the heart post-MI. Picrosirius red staining of heart sections and detection of fibrosis markers' levels by real-time polymerase chain reaction and western blot analyses revealed that Que repressed cardiac fibrosis after MI. Que pre-administration inhibited the levels of inflammatory factors and the infiltration of inflammatory cells, and increased the proportion of M2-like macrophages in the infarcted area of the heart. Furthermore, we found that Que pre-treatment polarized macrophage from M1-like to M2-like, which promoted the proliferation, migration, and activation of cardiac fibroblasts in vitro. Collectively, these data demonstrated that pre-administration Que promoted survival and reduced adverse ventricular remodeling after MI partially through modifying macrophage polarization. This provides an experimental basis for the future application of Que in cardiovascular diseases including MI.
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Affiliation(s)
- Lexun Wang
- Guangdong Metabolic Diseases Research Center of Integrated Chinese and Western Medicine; Key Laboratory of Glucolipid Metabolic Disorder, Ministry of Education of China; Guangdong Key Laboratory of Metabolic Disease Prevention and Treatment of Traditional Chinese Medicine; Institute of Chinese Medicine, Guangdong Pharmaceutical University, Guangzhou, Guangdong Province, China
| | - Shaolin Lin
- Guangdong Metabolic Diseases Research Center of Integrated Chinese and Western Medicine; Key Laboratory of Glucolipid Metabolic Disorder, Ministry of Education of China; Guangdong Key Laboratory of Metabolic Disease Prevention and Treatment of Traditional Chinese Medicine; Institute of Chinese Medicine, Guangdong Pharmaceutical University, Guangzhou, Guangdong Province, China
| | - Quxing Wei
- Guangdong Metabolic Diseases Research Center of Integrated Chinese and Western Medicine; Key Laboratory of Glucolipid Metabolic Disorder, Ministry of Education of China; Guangdong Key Laboratory of Metabolic Disease Prevention and Treatment of Traditional Chinese Medicine; Institute of Chinese Medicine, Guangdong Pharmaceutical University, Guangzhou, Guangdong Province, China
| | - Tongjun Li
- Guangdong Metabolic Diseases Research Center of Integrated Chinese and Western Medicine; Key Laboratory of Glucolipid Metabolic Disorder, Ministry of Education of China; Guangdong Key Laboratory of Metabolic Disease Prevention and Treatment of Traditional Chinese Medicine; Institute of Chinese Medicine, Guangdong Pharmaceutical University, Guangzhou, Guangdong Province, China
| | - Quqian Mo
- Guangdong Metabolic Diseases Research Center of Integrated Chinese and Western Medicine; Key Laboratory of Glucolipid Metabolic Disorder, Ministry of Education of China; Guangdong Key Laboratory of Metabolic Disease Prevention and Treatment of Traditional Chinese Medicine; Institute of Chinese Medicine, Guangdong Pharmaceutical University, Guangzhou, Guangdong Province, China
| | - Ruining Bai
- Guangdong Metabolic Diseases Research Center of Integrated Chinese and Western Medicine; Key Laboratory of Glucolipid Metabolic Disorder, Ministry of Education of China; Guangdong Key Laboratory of Metabolic Disease Prevention and Treatment of Traditional Chinese Medicine; Institute of Chinese Medicine, Guangdong Pharmaceutical University, Guangzhou, Guangdong Province, China
| | - Jiaojiao Feng
- Guangdong Metabolic Diseases Research Center of Integrated Chinese and Western Medicine; Key Laboratory of Glucolipid Metabolic Disorder, Ministry of Education of China; Guangdong Key Laboratory of Metabolic Disease Prevention and Treatment of Traditional Chinese Medicine; Institute of Chinese Medicine, Guangdong Pharmaceutical University, Guangzhou, Guangdong Province, China
| | - Angyu Zhan
- Guangdong Metabolic Diseases Research Center of Integrated Chinese and Western Medicine; Key Laboratory of Glucolipid Metabolic Disorder, Ministry of Education of China; Guangdong Key Laboratory of Metabolic Disease Prevention and Treatment of Traditional Chinese Medicine; Institute of Chinese Medicine, Guangdong Pharmaceutical University, Guangzhou, Guangdong Province, China
| | - Xiao Yang
- Department of Clinical Laboratory, Guangzhou First People's Hospital, School of Medicine, South China University of Technology, Guangzhou, Guangdong Province, China
| | - Xianglu Rong
- Guangdong Metabolic Diseases Research Center of Integrated Chinese and Western Medicine; Key Laboratory of Glucolipid Metabolic Disorder, Ministry of Education of China; Guangdong Key Laboratory of Metabolic Disease Prevention and Treatment of Traditional Chinese Medicine; Institute of Chinese Medicine, Guangdong Pharmaceutical University, Guangzhou, Guangdong Province, China
| | - Jiao Guo
- Guangdong Metabolic Diseases Research Center of Integrated Chinese and Western Medicine; Key Laboratory of Glucolipid Metabolic Disorder, Ministry of Education of China; Guangdong Key Laboratory of Metabolic Disease Prevention and Treatment of Traditional Chinese Medicine; Institute of Chinese Medicine, Guangdong Pharmaceutical University, Guangzhou, Guangdong Province, China.
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Gou R, Chang X, Dou D, Meng X, Hou L, Zhu L, Tuo W, Li G. Association of cardiovascular health with COPD (NHANES 2007-2020): mediating potential of lean body mass. Front Endocrinol (Lausanne) 2025; 16:1539550. [PMID: 40255497 PMCID: PMC12006009 DOI: 10.3389/fendo.2025.1539550] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/04/2024] [Accepted: 03/13/2025] [Indexed: 04/22/2025] Open
Abstract
Background Chronic Obstructive Pulmonary Disease (COPD) is a major global health concern, with lifestyle factors playing a crucial role in its prevention. This study aims to explore the relationship between Life's Crucial 9 (lc9) scores and COPD odds, and to assess the mediating potential of lean body mass (LBM) in this association. Methods This study used cross-sectional study to assess the association between lc9 score and COPD using data from the National Health and Nutrition Examination Survey (NHANES) from 2007 to 2020. Weighted multivariate regression analyses were performed to examine lc9 score on the odds of COPD after adjusting for confounders. The models were adjusted for age, gender, race/ethnicity, Marital status, education level, Family income-to-poverty ratio, LBM and Alcohol consumption status. The discrimination ability of lc9 on COPD odds was evaluated using (ROC) curve. Mediation analysis was used to investigate the mediating potential of LBM between lc9 and COPD odds. Subgroup analyses and interaction assessments were also performed. Results In Model 2, the results showed that for every 10-point change in the lc9 score, the odds of developing COPD decreased. The OR (95% CI) in the Moderate and High groups were OR = 0.37; 95% CI: 0.23, 0.59 and OR = 0.16; 95% CI: 0.09, 0.27 (P for trend < 0.001), respectively. In addition, the results for quartile subgroups were Q3, OR = 0.58; 95% CI: 0.42, 0.81), Q4, OR = 0.24; 95% CI: 0.16, 0.36) and P for trend < 0.001. This relationship was consistent across the total population, subgroup analyses, and sensitivity analyses. There was a nonlinear relationship between lc9 score and odds of COPD (P for Nonlinear = 0.022). The lc9 reduced the odds of COPD by increasing LBM. The lc9 is an suggestive predictor of COPD odds association. Conclusions Higher LC9 scores, particularly when accompanied by increased LBM levels, showed significant associations with reduced COPD risk in cross-sectional analyses.
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Affiliation(s)
- Ruoyu Gou
- School of Public Health, Ningxia Medical University, Yinchuan, China
| | - Xiaoyu Chang
- School of Public Health, Ningxia Medical University, Yinchuan, China
| | - Danni Dou
- School of Basic Medical Sciences, Ningxia Medical University, Yinchuan, China
| | - Xin Meng
- School of Public Health, Ningxia Medical University, Yinchuan, China
| | - Ling Hou
- School of Basic Medical Sciences, Ningxia Medical University, Yinchuan, China
| | - Lingqin Zhu
- School of Public Health, Ningxia Medical University, Yinchuan, China
| | - Wei Tuo
- People’s Hospital of Ningxia Hui Autonomous Region, Yinchuan, Ningxia, China
| | - Guanghua Li
- School of Public Health, Ningxia Medical University, Yinchuan, China
- School of Basic Medical Sciences, Ningxia Medical University, Yinchuan, China
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Senff J, Tack RWP, Mallick A, Gutierrez-Martinez L, Duskin J, Kimball TN, Tan BYQ, Chemali ZN, Newhouse A, Kourkoulis C, Rivier C, Falcone GJ, Sheth KN, Lazar RM, Ibrahim S, Pikula A, Tanzi RE, Fricchione GL, Brouwers HB, Rinkel GJE, Yechoor N, Rosand J, Anderson CD, Singh SD. Modifiable risk factors for stroke, dementia and late-life depression: a systematic review and DALY-weighted risk factors for a composite outcome. J Neurol Neurosurg Psychiatry 2025:jnnp-2024-334925. [PMID: 40180437 DOI: 10.1136/jnnp-2024-334925] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/20/2024] [Accepted: 01/15/2025] [Indexed: 04/05/2025]
Abstract
BACKGROUND At least 60% of stroke, 40% of dementia and 35% of late-life depression (LLD) are attributable to modifiable risk factors, with great overlap due to shared pathophysiology. This study aims to systematically identify overlapping risk factors for these diseases and calculate their relative impact on a composite outcome. METHODS A systematic literature review was performed in PubMed, Embase and PsycInfo, between January 2000 and September 2023. We included meta-analyses reporting effect sizes of modifiable risk factors on the incidence of stroke, dementia and/or LLD. The most relevant meta-analyses were selected, and disability-adjusted life year (DALY) weighted beta (β)-coefficients were calculated for a composite outcome. The β-coefficients were normalised to assess relative impact. RESULTS Our search yielded 182 meta-analyses meeting the inclusion criteria, of which 59 were selected to calculate DALY-weighted risk factors for a composite outcome. Identified risk factors included alcohol (normalised β-coefficient highest category: -34), blood pressure (130), body mass index (70), fasting plasma glucose (94), total cholesterol (22), leisure time cognitive activity (-91), depressive symptoms (57), diet (51), hearing loss (60), kidney function (101), pain (42), physical activity (-56), purpose in life (-50), sleep (76), smoking (91), social engagement (53) and stress (55). CONCLUSIONS This study identified overlapping modifiable risk factors and calculated the relative impact of these factors on the risk of a composite outcome of stroke, dementia and LLD. These findings could guide preventative strategies and serve as an empirical foundation for future development of tools that can empower people to reduce their risk of these diseases. PROSPERO REGISTRATION NUMBER CRD42023476939.
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Affiliation(s)
- Jasper Senff
- McCance Center for Brain Health, Massachusetts General Hospital, Boston, Massachusetts, USA
- Department of Neurology, Massachusetts General Hospital, Boston, Massachusetts, USA
- Center for Genomic Medicine, Massachusetts General Hospital Department of Neurology, Boston, Massachusetts, USA
- Broad Institue of MIT and Harvard, Cambridge, MA, USA
- Department of Neurology, University Medical Centre Utrecht, Utrecht, The Netherlands
| | - Reinier Willem Pieter Tack
- McCance Center for Brain Health, Massachusetts General Hospital, Boston, Massachusetts, USA
- Department of Neurology, Massachusetts General Hospital, Boston, Massachusetts, USA
- Center for Genomic Medicine, Massachusetts General Hospital Department of Neurology, Boston, Massachusetts, USA
- Broad Institue of MIT and Harvard, Cambridge, MA, USA
- Department of Neurology, University Medical Centre Utrecht, Utrecht, The Netherlands
| | - Akashleena Mallick
- McCance Center for Brain Health, Massachusetts General Hospital, Boston, Massachusetts, USA
- Department of Neurology, Massachusetts General Hospital, Boston, Massachusetts, USA
- Center for Genomic Medicine, Massachusetts General Hospital Department of Neurology, Boston, Massachusetts, USA
- Broad Institue of MIT and Harvard, Cambridge, MA, USA
| | - Leidys Gutierrez-Martinez
- McCance Center for Brain Health, Massachusetts General Hospital, Boston, Massachusetts, USA
- Department of Neurology, Massachusetts General Hospital, Boston, Massachusetts, USA
- Center for Genomic Medicine, Massachusetts General Hospital Department of Neurology, Boston, Massachusetts, USA
- Broad Institue of MIT and Harvard, Cambridge, MA, USA
| | - Jonathan Duskin
- McCance Center for Brain Health, Massachusetts General Hospital, Boston, Massachusetts, USA
- Department of Neurology, Massachusetts General Hospital, Boston, Massachusetts, USA
- Center for Genomic Medicine, Massachusetts General Hospital Department of Neurology, Boston, Massachusetts, USA
- Broad Institue of MIT and Harvard, Cambridge, MA, USA
| | - Tamara N Kimball
- McCance Center for Brain Health, Massachusetts General Hospital, Boston, Massachusetts, USA
- Department of Neurology, Massachusetts General Hospital, Boston, Massachusetts, USA
- Center for Genomic Medicine, Massachusetts General Hospital Department of Neurology, Boston, Massachusetts, USA
- Broad Institue of MIT and Harvard, Cambridge, MA, USA
- Department of Neurology, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Benjamin Y Q Tan
- McCance Center for Brain Health, Massachusetts General Hospital, Boston, Massachusetts, USA
- Department of Neurology, Massachusetts General Hospital, Boston, Massachusetts, USA
- Center for Genomic Medicine, Massachusetts General Hospital Department of Neurology, Boston, Massachusetts, USA
- Broad Institue of MIT and Harvard, Cambridge, MA, USA
- Department of Neurology, National University Health System, Singapore
| | - Zeina N Chemali
- McCance Center for Brain Health, Massachusetts General Hospital, Boston, Massachusetts, USA
- Department of Neurology, Massachusetts General Hospital, Boston, Massachusetts, USA
- Department of Psychiatry, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Amy Newhouse
- McCance Center for Brain Health, Massachusetts General Hospital, Boston, Massachusetts, USA
- Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Christina Kourkoulis
- McCance Center for Brain Health, Massachusetts General Hospital, Boston, Massachusetts, USA
- Department of Neurology, Massachusetts General Hospital, Boston, Massachusetts, USA
- Center for Genomic Medicine, Massachusetts General Hospital Department of Neurology, Boston, Massachusetts, USA
- Broad Institue of MIT and Harvard, Cambridge, MA, USA
| | - Cyprien Rivier
- Department of Neurology, Yale School of Medicine, New Haven, Connecticut, USA
- Yale Center for Brain and Mind Health, Yale School of Medicine, New Haven, Connecticut, USA
| | - Guido J Falcone
- Department of Neurology, Yale School of Medicine, New Haven, Connecticut, USA
- Yale Center for Brain and Mind Health, Yale School of Medicine, New Haven, Connecticut, USA
| | - Kevin N Sheth
- Department of Neurology, Yale School of Medicine, New Haven, Connecticut, USA
- Yale Center for Brain and Mind Health, Yale School of Medicine, New Haven, Connecticut, USA
| | - Ronald M Lazar
- McKnight Brain Institute, Department of Neurology, School of Medicine, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Sarah Ibrahim
- Department of Neurology, Program for Health System and Technology Evaluation, Toronto Western Hospital, Toronto, Ontario, Canada
- Centre for Advancing Collaborative Healthcare & Education (CACHE), University of Toronto, Toronto, Ontario, Canada
- Division of Neurology, University Health Network, Toronto Western Hospital, Toronto, Ontario, Canada
- Jay and Sari Sonshine Centre for Stroke Prevention and Cerebrovascular Brain Health, Krembil Brain Institute, University Health Network, Toronto, Ontario, Canada
- Institute of Health Policy, Management and Evaluation (IHPME), Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
| | - Aleksandra Pikula
- Centre for Advancing Collaborative Healthcare & Education (CACHE), University of Toronto, Toronto, Ontario, Canada
- Division of Neurology, University Health Network, Toronto Western Hospital, Toronto, Ontario, Canada
- Jay and Sari Sonshine Centre for Stroke Prevention and Cerebrovascular Brain Health, Krembil Brain Institute, University Health Network, Toronto, Ontario, Canada
- Institute of Health Policy, Management and Evaluation (IHPME), Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
| | - Rudolph E Tanzi
- McCance Center for Brain Health, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Gregory L Fricchione
- Department of Psychiatry, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Hens Bart Brouwers
- Department of Neurology, University Medical Centre Utrecht, Utrecht, The Netherlands
| | - Gabriel J E Rinkel
- Department of Neurology, University Medical Centre Utrecht, Utrecht, The Netherlands
| | - Nirupama Yechoor
- McCance Center for Brain Health, Massachusetts General Hospital, Boston, Massachusetts, USA
- Department of Neurology, Massachusetts General Hospital, Boston, Massachusetts, USA
- Center for Genomic Medicine, Massachusetts General Hospital Department of Neurology, Boston, Massachusetts, USA
- Broad Institue of MIT and Harvard, Cambridge, MA, USA
| | - Jonathan Rosand
- McCance Center for Brain Health, Massachusetts General Hospital, Boston, Massachusetts, USA
- Department of Neurology, Massachusetts General Hospital, Boston, Massachusetts, USA
- Center for Genomic Medicine, Massachusetts General Hospital Department of Neurology, Boston, Massachusetts, USA
- Broad Institue of MIT and Harvard, Cambridge, MA, USA
| | - Christopher D Anderson
- McCance Center for Brain Health, Massachusetts General Hospital, Boston, Massachusetts, USA
- Department of Neurology, Massachusetts General Hospital, Boston, Massachusetts, USA
- Center for Genomic Medicine, Massachusetts General Hospital Department of Neurology, Boston, Massachusetts, USA
- Broad Institue of MIT and Harvard, Cambridge, MA, USA
- Department of Neurology, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Sanjula D Singh
- McCance Center for Brain Health, Massachusetts General Hospital, Boston, Massachusetts, USA
- Department of Neurology, Massachusetts General Hospital, Boston, Massachusetts, USA
- Center for Genomic Medicine, Massachusetts General Hospital Department of Neurology, Boston, Massachusetts, USA
- Broad Institue of MIT and Harvard, Cambridge, MA, USA
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Victor G, Shishani K, Vellone E, Froelicher ES. The Global Burden of Cardiovascular Disease in Adults: A Mapping Review. J Cardiovasc Nurs 2025:00005082-990000000-00284. [PMID: 40179360 DOI: 10.1097/jcn.0000000000001200] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 04/05/2025]
Abstract
BACKGROUND Cardiovascular diseases (CVDs) persist as formidable contributors to global mortality and pose substantial challenges to public health. Most mortality estimates have been attributed to heart attack and stroke. Despite increased public awareness, the burden of CVDs continues to increase. OBJECTIVE This review describes the burden of CVDs and risk factors in adults, according to the World Health Organization's (WHO) defined regions. METHODS A mapping review methodology was used. PubMed, Scopus, Wiley, the WHO Global Health Observatory data repository, American Heart Association, National Forum for Heart Disease and Stroke Prevention, Centers for Disease Control and Prevention, European Commission, Eurostat, European Society of Cardiology, World Heart Federation, and Google Scholar were searched using free text search terms: cardiovascular diseases/CVDs, burden, incidence, prevalence, prevention, and risk factor. RESULTS Ischemic heart disease predominated in the Americas, Europe, and Eastern Mediterranean, whereas stroke was more common in Africa, Southeast Asia, and the Western Pacific. Premature deaths occur in populations with low socioeconomic status. Several well-known risk factors are preventable, including hypertension, dyslipidemia, diabetes, air pollution, obesity, smoking, lack of physical activity, and unhealthy dietary intake. Emerging risk factors include excessive or lack of sleep, depression, social isolation, air/noise pollution, and exposure to extreme sunshine, arsenic, lead, cadmium, and copper. CONCLUSIONS The burden of CVDs and its risk factors vary greatly according to demographics and geographical region. Addressing CVDs requires multifaceted strategies, including region-specific interventions, addressing socioeconomic inequalities, adopting life-course risk management, strengthening the healthcare workforce, and improving health literacy.
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Wang L, Xu Y, Chen L, Zhang H. Estimated glucose disposal rate mediates the association between Life's Crucial 9 and congestive heart failure: a population-based study. Front Endocrinol (Lausanne) 2025; 16:1540794. [PMID: 40248150 PMCID: PMC12004698 DOI: 10.3389/fendo.2025.1540794] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/06/2024] [Accepted: 03/04/2025] [Indexed: 04/19/2025] Open
Abstract
Background Life's Crucial 9 (LC9) is the latest indicator of cardiovascular health (CVH), and the estimated glucose disposal rate (eGDR) is a non-invasive indicator of insulin resistance (IR). However, the relationships between LC9 and eGDR and congestive heart failure (CHF) remain unknown. Methods In this cross-sectional study, participants aged ≥20 years in the NHANES database from 2005 to 2018 were analyzed. Weighted linear regression, logistic regression, subgroup analysis, and restricted cubic spline (RCS) analysis were employed to analyze the associations among LC9, eGDR, and CHF. Mediation analysis was used to explore the mediating role of eGDR in the association between LC9 and CHF. Results A total of 22,699 adult participants were included, among whom 661 suffered from CHF. The mean age of the participants was 47.52 (0.26) years old, with 11186 (48.68%) males and 11513 (51.32%) females. The average value of LC9 was 71.16 (0.22), and that of eGDR was 7.91 (0.04). After adjusting for confounding factors, linear regression showed that LC9 was independently and positively associated with eGDR (β: 1.11, 95%CI: 1.07 - 1.14, P < 0.0001). Logistic regression indicated that both LC9 (OR: 0.76, 95%CI: 0.65 - 0.88, P < 0.001) and eGDR (OR: 0.81, 95%CI: 0.76 - 0.86, P < 0.0001) were independently and negatively associated with the prevalence of CHF. Mediation analysis revealed that the association between LC9 and CHF was mainly mediated by eGDR, with a proportion of 66%. Conclusion This study suggests that higher LC9 scores and eGDR values imply a lower prevalence of CHF. Meanwhile, eGDR is the main intermediate factor in the association between LC9 and CHF, indicating that good CVH may reduce the prevalence of CHF by improving IR.
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Affiliation(s)
- Liping Wang
- Department of Cardiovascular, The First Affiliated Hospital, and College of Clinical Medicine of Henan University of Science and Technology, Luoyang, China
| | - Yaying Xu
- Department of Endocrinology, The First Affiliated Hospital, and College of Clinical Medicine of Henan University of Science and Technology, Luoyang, China
| | - Lele Chen
- Henan Provincial People's Hospital, Zhumadian, China
| | - Huifeng Zhang
- Department of Cardiovascular, The First Affiliated Hospital, and College of Clinical Medicine of Henan University of Science and Technology, Luoyang, China
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Choo-Kang C, Crowley SJ, Reutrakul S, Rae DE, Lambert EV, Sinyanya N, Bovet P, Viswanathan B, Bedu-Addo K, Plange-Rhule J, Oti-Boateng P, Dei OA, Apusiga K, Forrester TE, Williams M, Deglon M, Gilbert JA, Layden BT, Joyce C, Luke A, Dugas LR. An ecological analysis of sleep health across five African-origin populations spanning the epidemiologic transition. Sleep Health 2025:S2352-7218(25)00034-8. [PMID: 40180802 DOI: 10.1016/j.sleh.2025.02.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2024] [Revised: 12/17/2024] [Accepted: 02/03/2025] [Indexed: 04/05/2025]
Abstract
BACKGROUND Sleep health is emerging as a public health priority due to its strong associations with several key domains of health. However, most of the existing literature are from studies located in high income settings and may not be representative of low-middle income settings. Leveraging the Modeling the Epidemiologic Transition Study, a study of cardiometabolic disease risk in five diverse African-origin populations, we explored differences in objectively measured sleep behavior across cohorts from Ghana, South Africa, Jamaica, Seychelles, and the United States. METHODS Data from 809 participants (35-55 years old, 63% women) from the 5 Modeling the Epidemiologic Transition Study research sites were included. Objectively-measured sleep, using actigraphy, was scored according to the criteria of Patel and colleagues. For those with at least 5 nights of valid data, ecological mean sleep onset time, wake-up time, sleep duration, wake after sleep onset, and sleep efficiency were examined. FINDINGS Adjusted models indicate that sleep onset was earlier in all sites when compared to US (p<.005). Sleep efficiency varied by locations, being lower in participants from Ghana, South Africa, and Jamaica when compared to United States (Ghana β: -3.7, South Africa: -5.8, Jamaica: -1.3, p<.05 for all) and higher in Seychelles when compared to United States (Seychelles β: 1.6; p=.02). Women presented with shorter sleep duration but with higher sleep efficiency. INTERPRETATION Sleep duration, timing (wake time, midsleep time and sleep onset), and efficiency differ by country and sex, likely driven by socio-economic settings. Understanding sleep patterns in different contexts is needed to make informed and culturally appropriate health recommendations.
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Affiliation(s)
- Candice Choo-Kang
- Public Health Sciences, Parkinson School of Health Sciences and Public Health, Loyola University Chicago, Maywood, Illinois, USA.
| | - Stephanie J Crowley
- Department of Psychiatry & Behavioral Sciences, Biological Rhythms Research Laboratory, Rush University Medical Center, Chicago, Illinois, USA
| | - Sirimon Reutrakul
- Division of Endocrinology, Diabetes and Metabolism, Department of Medicine, University of Illinois Chicago, Chicago, Illinois, USA
| | - Dale E Rae
- Health through Physical Activity, Lifestyle and Sport Research Centre & Division of Physiological Sciences, Department of Human Biology, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa
| | - Estelle V Lambert
- Health through Physical Activity, Lifestyle and Sport Research Centre & Division of Physiological Sciences, Department of Human Biology, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa
| | - Nandipha Sinyanya
- Health through Physical Activity, Lifestyle and Sport Research Centre & Division of Physiological Sciences, Department of Human Biology, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa
| | - Pascal Bovet
- University Center for Primary Care and Public Health (Unisanté), Lausanne, Switzerland; Ministry of Health, Victoria, Seychelles
| | | | - Kweku Bedu-Addo
- Department of Physiology, School of Medical Sciences, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana
| | - Jacob Plange-Rhule
- Department of Physiology, School of Medical Sciences, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana
| | - Prince Oti-Boateng
- Department of Physiology, School of Medical Sciences, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana
| | - Oscar Akunor Dei
- Department of Physiology, School of Medical Sciences, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana
| | | | - Terrence E Forrester
- Solutions for Developing Countries, University of the West Indies, Kingston, Jamaica
| | - Marie Williams
- Solutions for Developing Countries, University of the West Indies, Kingston, Jamaica
| | - Michaela Deglon
- African Climate & Development Initiative, University of Cape Town, Cape Town, South Africa
| | - Jack A Gilbert
- University of California San Diego, San Diego, California, USA
| | - Brian T Layden
- Division of Endocrinology, Diabetes and Metabolism, Department of Medicine, University of Illinois Chicago, Chicago, Illinois, USA; Jesse Brown Veterans Affairs Medical Center, Chicago, Illinois, USA
| | - Cara Joyce
- Public Health Sciences, Parkinson School of Health Sciences and Public Health, Loyola University Chicago, Maywood, Illinois, USA
| | - Amy Luke
- Public Health Sciences, Parkinson School of Health Sciences and Public Health, Loyola University Chicago, Maywood, Illinois, USA
| | - Lara R Dugas
- Public Health Sciences, Parkinson School of Health Sciences and Public Health, Loyola University Chicago, Maywood, Illinois, USA; Division of Epidemiology & Biostatistics, School of Public Health, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa
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Maxson R, Neumiller JJ, Aistrope D, Weltman MR, Chow S. Cardiovascular-kidney-metabolic syndrome medications: A time to rebrand? Am J Health Syst Pharm 2025:zxaf042. [PMID: 40172529 DOI: 10.1093/ajhp/zxaf042] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/04/2025] Open
Affiliation(s)
- Rebecca Maxson
- Department of Pharmacy Practice, Harrison College of Pharmacy, Auburn University, Auburn, AL, USA
| | - Joshua J Neumiller
- Department of Pharmacotherapy, College of Pharmacy and Pharmaceutical Sciences, Washington State University, Spokane, WA, USA
| | - Dan Aistrope
- Cardiometabolic Center Alliance, Kansas City, MO, USA
| | - Melanie R Weltman
- Department of Pharmacy & Therapeutics, University of Pittsburgh School of Pharmacy, Pittsburgh, PA, USA
| | - Sheryl Chow
- Department of Pharmacy Practice and Administration, Western University of Health Sciences, Pomona, CA
- Department of Medicine, Division of Cardiology, University of California, Irvine, CA, USA
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Sebastian SA, Shah Y, Paul H, Arsene C. Life's Essential 8 and the risk of cardiovascular disease: a systematic review and meta-analysis. Eur J Prev Cardiol 2025; 32:358-373. [PMID: 39171613 DOI: 10.1093/eurjpc/zwae280] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/09/2024] [Revised: 08/10/2024] [Accepted: 08/19/2024] [Indexed: 08/23/2024]
Abstract
AIMS The benefits of achieving optimal cardiovascular health (CVH) through Life's Simple 7 (LS7) are well-documented across diverse populations. In this study, we assess the updated metrics, Life's Essential 8 (LE8), and its association with long-term cardiovascular disease (CVD) outcomes and mortality. METHODS AND RESULTS We conducted a comprehensive systematic review, searching PubMed, Google Scholar, Cochrane Library, and ScienceDirect from January 2022 until June 2024, focusing on studies that specifically assessed the impact of LE8 on CVH. The statistical analysis used RevMan 5.4 and applied a random effects model to synthesize hazard ratios (HRs) for primary and secondary outcomes. This study is registered in PROSPERO (CRD42024558493). Our final analysis comprised 34 observational studies, encompassing 1 786 664 participants aged 18-80 years, with an average follow-up of approximately 11.6 years. Pooled analysis revealed a statistically significant decrease in the risk of CVD among individuals with higher LE8 scores compared with those with lower scores, with an HR of 0.47 (95% CI: 0.39-0.56, P < 0.00001). Higher LE8 scores were also associated with significant reductions in both all-cause mortality (HR: 0.54, 95% CI: 0.43-0.69, P < 0.00001) and CVD-related mortality (HR: 0.37, 95% CI: 0.26-0.52, P < 0.00001. Moreover, individuals with high LE8 scores have a 56% lower risk of coronary heart disease and a 48% lower risk of stroke. CONCLUSION LE8 has a strong inverse association with CVD risk and mortality, with higher LE8 scores corresponding to significantly lower risk levels.
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Affiliation(s)
- Sneha Annie Sebastian
- Department of Internal Medicine, Azeezia Medical College, Kollam, Kerala 691537, India
| | - Yash Shah
- Department of Internal Medicine, Trinity Health Oakland/ Wayne State University, Pontiac, MI, USA
| | - Haris Paul
- Department of Internal Medicine, Allegheny Health Network, Pittsburgh, PA, USA
| | - Camelia Arsene
- Department of Internal Medicine, Trinity Health Oakland/ Wayne State University, Pontiac, MI, USA
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71
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Bloomfield GS. Eight essential ounces of cardiovascular disease prevention. Eur J Prev Cardiol 2025; 32:374-375. [PMID: 39531647 DOI: 10.1093/eurjpc/zwae370] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/04/2024] [Accepted: 11/08/2024] [Indexed: 11/16/2024]
Affiliation(s)
- Gerald S Bloomfield
- Duke Global Health Institute, Duke Clinical Research Institute and Department of Medicine, Duke University, 300 W. Morgan Street, Durham, NC 27701, USA
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Hammond MM, Mensah CN, Turkson-Ocran RA, Khan SS, Shah NS. Nativity and Cardiovascular Health Among Disaggregated Racial and Ethnic Groups in the United States. Circ Cardiovasc Qual Outcomes 2025:e011537. [PMID: 40172576 DOI: 10.1161/circoutcomes.124.011537] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 04/04/2025]
Affiliation(s)
- Michael M Hammond
- Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL (M.M.H., C.N.M., S.S.K., N.S.S.)
| | - Cheryl N Mensah
- Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL (M.M.H., C.N.M., S.S.K., N.S.S.)
| | - Ruth-Alma Turkson-Ocran
- Department of Medicine, Division of General Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA (R.-A.T.-O.)
| | - Sadiya S Khan
- Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL (M.M.H., C.N.M., S.S.K., N.S.S.)
| | - Nilay S Shah
- Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL (M.M.H., C.N.M., S.S.K., N.S.S.)
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Jia Q, Yang Y, Liu L, Zhang H, Chen Y, Wang Y, Kong Y. Relationship between life's essential 8, vitamin D, and cardiometabolic outcomes. Diabetes Res Clin Pract 2025; 222:112057. [PMID: 39993642 DOI: 10.1016/j.diabres.2025.112057] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/30/2024] [Revised: 02/16/2025] [Accepted: 02/18/2025] [Indexed: 02/26/2025]
Abstract
AIMS To assess the association between cardiovascular health (CVH) and cardiometabolic outcomes and the impact of vitamin D on the relationship. Additionally, we seek to analyze the predictive ability of CVH metrics for cardiometabolic outcomes. METHODS This cross-sectional study included 21,913 adult participants of the National Health and Nutrition Examination Survey (2007-2018). Logistic regression models and restricted cubic spline curves were employed to evaluate the association between CVH and cardiometabolic outcomes and analyze the influence of vitamin D on the relationship. Receiver operating characteristic curves were used to assess the predictive ability of CVH metrics for cardiometabolic outcomes. RESULTS The study included 21,913 participants, among whom 6193 (28.3%) were classified as having low CVH, 14,080 (64.3%) as having moderate CVH, and 1640 (7.5%) as having high CVH. CVH scores were significantly negatively correlated with cardiometabolic outcomes. Among the CVH metrics, blood glucose and blood pressure had higher predictive values for cardiovascular disease, chronic kidney disease, hypertension, and diabetes. Additionally, there was a significant interaction between CVH and vitamin D. CONCLUSION These findings underscore that higher CVH scores, assessed by Life's Essential 8, are associated with lower risks of cardiometabolic outcomes. Improving CVH contributes to reducing the burden of disease and promoting human health.
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Affiliation(s)
- Qiuting Jia
- Department of Cardiology, First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang 150001, China.
| | - Yuxuan Yang
- Department of Cardiology, First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang 150001, China.
| | - Lu Liu
- Department of Cardiology, First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang 150001, China.
| | - Haiyu Zhang
- Department of Cardiology, First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang 150001, China.
| | - Ying Chen
- Department of Cardiology, First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang 150001, China.
| | - Yongle Wang
- Department of Cardiology, First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang 150001, China.
| | - Yihui Kong
- Department of Cardiology, First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang 150001, China.
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Boehm JK, Adams M, Boylan JM. Sources of well-being and cardiovascular health: A mixed methods investigation from the MIDUS study. Soc Sci Med 2025; 371:117903. [PMID: 40056534 DOI: 10.1016/j.socscimed.2025.117903] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2024] [Revised: 01/16/2025] [Accepted: 02/28/2025] [Indexed: 03/10/2025]
Abstract
OBJECTIVE Using mixed methods, we investigated whether different sources of well-being were associated with better cardiovascular health. METHODS Data came from adults (55% women; 19% Black, 75% White) with biomarker data from the Midlife in the United States (MIDUS) Study. At the second wave and in a refresher cohort, participants answered the question "What do you do to make your life go well?" Judges evaluated each response for the presence of 12 sources of well-being (e.g., positive relationships, faith, health maintenance). Participants were also assessed on 8 components of cardiovascular health at two waves, an average of 12 years apart. Concurrent (N = 2036) and longitudinal (N = 650) linear regressions examined the association between each well-being source in unadjusted models and models adjusted for sociodemographic factors and word count. RESULTS Adults who wrote about positive relationships, positive attitudes, enjoyment, coping, health maintenance, and planning tended to have better cardiovascular health in unadjusted models concurrently and longitudinally. In fully adjusted models, health maintenance (p < .001) and planning and organization (p = .004) were associated with better cardiovascular health concurrently. Additionally, health maintenance (p = .03) and work (p = .04) were associated with better cardiovascular health longitudinally. CONCLUSIONS Individuals who endorsed maintaining their health as central to well-being showed healthier cardiovascular outcomes 12 years later. Combining qualitative assessments of sources of well-being with clinically assessed measures of cardiovascular health highlights unique contributors of well-being that are relevant for health and may not be evident with conventional self-report measures.
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Affiliation(s)
- Julia K Boehm
- Department of Psychology, Chapman University, One University Drive, Orange, CA, 92866, USA
| | - Monica Adams
- Department of Health and Behavioral Sciences, University of Colorado Denver, Campus Box 188, PO Box 173364, Denver, Co, 80217-3364, USA; Department of Psychological, Health, and Learning Sciences, University of Houston, Stephen Power Farish Hall, 3657 Cullen Blvd., Room 491, Houston, TX, 77204-5023, USA
| | - Jennifer Morozink Boylan
- Department of Health and Behavioral Sciences, University of Colorado Denver, Campus Box 188, PO Box 173364, Denver, Co, 80217-3364, USA
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Wang W, Ren R, Liu Y, Ye X, Zhang R, Xi L, Wang L, Zhang Y, Zhang Y, Wang D. Life's Essential 8, Genetic Susceptibility, and the Risk of Age-Related Macular Degeneration: A Prospective Cohort Study. Invest Ophthalmol Vis Sci 2025; 66:54. [PMID: 40257787 PMCID: PMC12020978 DOI: 10.1167/iovs.66.4.54] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2024] [Accepted: 03/24/2025] [Indexed: 04/22/2025] Open
Abstract
Purpose We determined the association between Life's Essential 8 (LE8) scores and AMD incidence and ascertained whether genetic susceptibility modifies it. Methods This prospective cohort study included 268,634 UK Biobank study participants with high, moderate, or low cardiovascular health based on LE8 scores. High and low cardiovascular health corresponded to the lowest and highest cardiovascular disease risks, respectively. The hazard ratios (HRs) and 95% confidence intervals (CIs) for AMD were estimated using Cox proportional hazards models. The dose-response relationships were evaluated using restricted cubic spline analysis. Stratified analyses using the AMD-polygenic risk score categories were used to assess potential modification. A composite variable combined LE8 and AMD-polygenic risk to examine their joint effects. Results Over an average of 13.76 years, 5253 participants developed AMD. Compared with the lowest cardiovascular health, moderate and high cardiovascular health had adjusted HRs of 0.86 (95% CI, 0.76, 0.97) and 0.79 (0.69, 0.91), respectively. Each standard deviation increase in the LE8 score corresponded to an HR of 0.93 (0.91, 0.96). The LE8 behavior (HR = 0.94 [0.91, 0.96]) and biological (HR = 0.97 [0.95, 1.00]) subscale scores were inversely associated with AMD, whereas the blood lipids component was positively associated (HR = 1.07 [1.04, 1.10]). The AMD-polygenic risk and LE8 scores showed no significant interaction. The HR for having low AMD-polygenic risk and high cardiovascular health relative to having high AMD-polygenic risk and low cardiovascular health was 0.47 (0.37, 0.58). Conclusions Maintaining good cardiovascular health can reduce AMD incidence regardless of genetic background.
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Affiliation(s)
- Wenxu Wang
- Department of Gerontology and Geriatrics, Shengjing Hospital of China Medical University, Shenyang, Liaoning, China
- Department of Health Statistics, School of Public Health, China Medical University, Shenyang, Liaoning, China
| | - Rui Ren
- Department of Health Statistics, School of Public Health, China Medical University, Shenyang, Liaoning, China
| | - Yue Liu
- Department of Gerontology and Geriatrics, Shengjing Hospital of China Medical University, Shenyang, Liaoning, China
| | - Xingyue Ye
- Department of Health Statistics, School of Public Health, China Medical University, Shenyang, Liaoning, China
| | - Ru Zhang
- Department of Health Statistics, School of Public Health, China Medical University, Shenyang, Liaoning, China
| | - Linze Xi
- Department of Health Statistics, School of Public Health, China Medical University, Shenyang, Liaoning, China
| | - Liying Wang
- Department of Health Statistics, School of Public Health, China Medical University, Shenyang, Liaoning, China
| | - Yao Zhang
- Department of Health Statistics, School of Public Health, China Medical University, Shenyang, Liaoning, China
| | - Yi Zhang
- Department of Gerontology and Geriatrics, Shengjing Hospital of China Medical University, Shenyang, Liaoning, China
| | - Difei Wang
- Department of Gerontology and Geriatrics, Shengjing Hospital of China Medical University, Shenyang, Liaoning, China
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Kong X, Li C, Pan Y. Association Between Heavy Metals Mixtures and Life's Essential 8 Score in General US Adults. Cardiovasc Toxicol 2025; 25:592-603. [PMID: 39920440 DOI: 10.1007/s12012-025-09969-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/08/2024] [Accepted: 01/27/2025] [Indexed: 02/09/2025]
Abstract
Heavy metals were toxic environmental pollutants capable of entering the human body, posing significant risks to human health. Life's Essential 8 (LE8) score is a new comprehensive index constructed for quantifying cardiovascular health (CVH). However, the association between heavy metals mixtures and LE8 appears ambiguous. To investigated the association between heavy metals and cardiovascular health in US population. Urinary heavy metals concentrations (barium, cadmium, cobalt, manganese, molybdenum, lead, antimony, strontium, thallium, tin, tungsten, uranium, cesium) were Ln-transformed and LE8 was consisted of eight metrics. Single and multivariate linear regression, weighted quantile sum (WQS) and Bayesian kernel machine regression models (BKMR) were utilized to assess the association between single and mixed exposure of thirteen heavy metals concentrations and LE8. In 4339 participants from National Health and Nutrition Examination Survey 2007-2018, single urinary heavy metals barium, cadmium, cobalt, lead, antimony, strontium, tin, tungsten, uranium and cesium showed a significant negative association with LE8. WQS models showed heavy metals mixture was negatively associated with LE8 (β = - 2.720, 95% CI - 3.660, - 1.790). BKMR analysis also demonstrated a downward trend of heavy metals mixture and LE8. Both WQS analyzed weights and the conditional posterior inclusion probabilities (condPIP) of BKMR showed that cadmium (37.78%, condPIP = 1.000), barium (24.56%, condPIP = 0.537) and uranium (14.71%, condPIP = 0.646) contributed most for these negative associations. Single and mixed heavy metals, especially cadmium, barium and uranium were negatively associated with LE8 score, a new comprehensive CVH index, predicting an increasing risk of cardiovascular diseases.
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Affiliation(s)
- Xugang Kong
- Department of Cardiology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, People's Republic of China
- Zhejiang Key Laboratory of Cardiovascular Intervention and Precision Medicine, Hangzhou, 310000, Zhejiang, People's Republic of China
- Engineering Research Center for Cardiovascular Innovative Devices of Zhejiang Province, Hangzhou, People's Republic of China
| | - Chuang Li
- Department of Cardiology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, People's Republic of China
- Zhejiang Key Laboratory of Cardiovascular Intervention and Precision Medicine, Hangzhou, 310000, Zhejiang, People's Republic of China
- Engineering Research Center for Cardiovascular Innovative Devices of Zhejiang Province, Hangzhou, People's Republic of China
| | - Yiwen Pan
- Department of Cardiology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, People's Republic of China.
- Zhejiang Key Laboratory of Cardiovascular Intervention and Precision Medicine, Hangzhou, 310000, Zhejiang, People's Republic of China.
- Engineering Research Center for Cardiovascular Innovative Devices of Zhejiang Province, Hangzhou, People's Republic of China.
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Zhang X, Zhao H, Li Z, Liu X, Zhang Y, Yang N, Zhang T, Yang X, Lu M. Accelerated biological aging, healthy behaviors, and genetic susceptibility with incidence of stroke and its subtypes: A prospective cohort study. Aging Cell 2025; 24:e14427. [PMID: 39632479 PMCID: PMC11984664 DOI: 10.1111/acel.14427] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2024] [Revised: 09/24/2024] [Accepted: 11/11/2024] [Indexed: 12/07/2024] Open
Abstract
Stroke risk increases with chronological age, but the relationship with biological age (BA) acceleration is poorly understood. We aimed to examine the association between BA acceleration and incident stroke and its subtypes, explore the modifying effects on genetic susceptibility, and assess how BA acceleration mediates the effect of behavior score. We studied 253,932 UK Biobank participants and computed two BA measures (Klemera-Doubal Method [KDM], Phenotypic Age [PhenoAge]), with BA acceleration calculated by regressing BA on chronological age. The polygenic risk score (PRS) was derived from 87 genetic loci. The behaviors score was based on diet, physical activity, tobacco/nicotine, sleep, and BMI. During a median follow-up of 13.6 years, 5460 strokes, 4337 ischemic stroke (IS), 951 intracerebral hemorrhage (ICH), and 553 subarachnoid hemorrhage (SAH) cases were documented. Adjusting for confounding factors, each standard deviation increase in BA acceleration was associated with higher stroke risk: for KDM-BA acceleration, stroke (HR = 1.28, 95% CI = 1.25-1.32), IS (1.32, 1.28-1.36), ICH (1.15, 1.08-1.23), and SAH (1.16, 1.07-1.27); for PhenoAge acceleration, stroke (1.22, 1.19-1.25), IS (1.26, 1.22-1.29), ICH (1.08, 1.02-1.16), and SAH (1.08, 1.00-1.18). Compared to participants with the lowest PRS and BA acceleration, those with the highest PRS and BA acceleration had the highest stroke risk (KDM-BA acceleration: 2.19, 1.85-2.59; PhenoAge acceleration: 2.03, 1.69-2.42). Additionally, there was an additive interaction between KDM-BA acceleration and PRS. The mediation proportion of BA acceleration in associations of behaviors score with incident stroke and its subtypes ranged from 15.84% to 33.08%. BA acceleration may raise stroke risk, especially in those with high genetic risk. Maintaining healthy behaviors may help mitigate this risk.
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Affiliation(s)
- Xuening Zhang
- Clinical Epidemiology UnitQilu Hospital of Shandong UniversityJinanShandongChina
- Department of Epidemiology, School of Public Health, Qilu Hospital, Cheeloo College of MedicineShandong UniversityJinanShandongChina
- Clinical Research Center of Shandong University, Qilu Hospital, Cheeloo College of MedicineShandong UniversityJinanShandongChina
| | - Hao Zhao
- Department of Medical Statistics and Epidemiology, School of Public HealthSun Yat‐Sen UniversityGuangzhouGuangdongChina
| | - Zilin Li
- Clinical Epidemiology UnitQilu Hospital of Shandong UniversityJinanShandongChina
- Department of Epidemiology, School of Public Health, Qilu Hospital, Cheeloo College of MedicineShandong UniversityJinanShandongChina
- Clinical Research Center of Shandong University, Qilu Hospital, Cheeloo College of MedicineShandong UniversityJinanShandongChina
| | - Xinjie Liu
- Clinical Epidemiology UnitQilu Hospital of Shandong UniversityJinanShandongChina
- Department of Epidemiology, School of Public Health, Qilu Hospital, Cheeloo College of MedicineShandong UniversityJinanShandongChina
- Clinical Research Center of Shandong University, Qilu Hospital, Cheeloo College of MedicineShandong UniversityJinanShandongChina
| | - Yurong Zhang
- Clinical Epidemiology UnitQilu Hospital of Shandong UniversityJinanShandongChina
- Department of Epidemiology, School of Public Health, Qilu Hospital, Cheeloo College of MedicineShandong UniversityJinanShandongChina
- Clinical Research Center of Shandong University, Qilu Hospital, Cheeloo College of MedicineShandong UniversityJinanShandongChina
| | - Ning Yang
- Department of Neurosurgery, Qilu Hospital, Cheeloo College of Medicine, Institute of Brain and Brain‐Inspired ScienceShandong UniversityJinanChina
| | - Tongchao Zhang
- Clinical Epidemiology UnitQilu Hospital of Shandong UniversityJinanShandongChina
- Department of Epidemiology, School of Public Health, Qilu Hospital, Cheeloo College of MedicineShandong UniversityJinanShandongChina
- Clinical Research Center of Shandong University, Qilu Hospital, Cheeloo College of MedicineShandong UniversityJinanShandongChina
| | - Xiaorong Yang
- Clinical Epidemiology UnitQilu Hospital of Shandong UniversityJinanShandongChina
- Department of Epidemiology, School of Public Health, Qilu Hospital, Cheeloo College of MedicineShandong UniversityJinanShandongChina
- Clinical Research Center of Shandong University, Qilu Hospital, Cheeloo College of MedicineShandong UniversityJinanShandongChina
| | - Ming Lu
- Clinical Epidemiology UnitQilu Hospital of Shandong UniversityJinanShandongChina
- Department of Epidemiology, School of Public Health, Qilu Hospital, Cheeloo College of MedicineShandong UniversityJinanShandongChina
- Clinical Research Center of Shandong University, Qilu Hospital, Cheeloo College of MedicineShandong UniversityJinanShandongChina
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Zhao H, Zhang X, Li Y, Wang W, Lai W, Zhang W, Kang K, Zhong X, Guo L. Associations of combined accelerated biological aging and genetic susceptibility with incidence of heart failure in a population-based cohort study. Aging Cell 2025; 24:e14430. [PMID: 39663608 PMCID: PMC11984684 DOI: 10.1111/acel.14430] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2024] [Revised: 11/11/2024] [Accepted: 11/14/2024] [Indexed: 12/13/2024] Open
Abstract
The global aging population raises concerns about heart failure (HF), yet its association with accelerated biological age (BA) remains inadequately understood. We aimed to examine the longitudinal association between BA acceleration and incident HF risk, assess its modifying effect on genetic susceptibility, and how much BA acceleration mediates the impact of modifiable health behaviors on incident HF. We analyzed 274,608 UK Biobank participants without HF at baseline. Two BA accelerations (Biological Age Acceleration [BioAgeAccel] and Phenotypic Age Acceleration [PhenoAgeAccel]) were calculated by regressing clinical biomarker-based BA on chronological age, with higher values indicating accelerated aging. Health behavior scores were computed based on diet, physical activity, tobacco/nicotine, sleep, and BMI. Genetic risk scores (GRS) were calculated by 12 HF-associated loci. During a median follow-up of 13.5 years, 8915 HF cases were documented. Each standard deviation increase in BioAgeAccel and PhenoAgeAccel was associated with an increased incident HF risk, yielding HRs of 1.45 (95% CI, 1.42-1.48) and 1.42 (95% CI, 1.40-1.45), respectively. Participants with high GRS and highest quartile of BioAgeAccel had an HR of 2.69 (95% CI, 2.42-2.99), and for PhenoAgeAccel, an HR of 2.83 (95% CI, 2.52-3.18), compared to those with low GRS, and lowest quartile. Additive interactions were observed between GRS and BA accelerations. Health behaviors reduced HF risk, with 21.1% (95% CI, 19.5%-22.8%) mediated by decreased BioAgeAccel and 20.9% (95% CI, 19.5%-22.6%) by decreased PhenoAgeAccel. Accelerated BA is associated with an increased incident HF risk, with an additive effect when combined with genetic susceptibility. Maintaining health behaviors may help mitigate BA aging and reduce HF risk.
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Affiliation(s)
- Hao Zhao
- Department of Medical Statistics and Epidemiology, School of Public HealthSun Yat‐Sen UniversityGuangzhouChina
- Guangdong Provincial Key Laboratory of Food, Nutrition and HealthSun Yat‐Sen UniversityGuangzhouChina
| | - Xuening Zhang
- Department of Epidemiology and Health Statistics, School of Public Health, Cheeloo College of MedicineShandong UniversityJinanChina
| | - Yanzhi Li
- Department of Medical Statistics and Epidemiology, School of Public HealthSun Yat‐Sen UniversityGuangzhouChina
- Guangdong Provincial Key Laboratory of Food, Nutrition and HealthSun Yat‐Sen UniversityGuangzhouChina
| | - Wanxin Wang
- Department of Medical Statistics and Epidemiology, School of Public HealthSun Yat‐Sen UniversityGuangzhouChina
- Guangdong Provincial Key Laboratory of Food, Nutrition and HealthSun Yat‐Sen UniversityGuangzhouChina
| | - Wenjian Lai
- Department of Medical Statistics and Epidemiology, School of Public HealthSun Yat‐Sen UniversityGuangzhouChina
- Guangdong Provincial Key Laboratory of Food, Nutrition and HealthSun Yat‐Sen UniversityGuangzhouChina
| | - Wenjing Zhang
- Department of Medical Statistics and Epidemiology, School of Public HealthSun Yat‐Sen UniversityGuangzhouChina
- Guangdong Provincial Key Laboratory of Food, Nutrition and HealthSun Yat‐Sen UniversityGuangzhouChina
| | - Kai Kang
- Cardiovascular Department, the First Affiliated HospitalFujian Medical UniversityFuzhouChina
| | - Xiali Zhong
- Guangdong Provincial Key Laboratory of Food, Nutrition and Health, Department of Toxicology, School of Public HealthSun Yat‐Sen UniversityGuangzhouChina
| | - Lan Guo
- Department of Medical Statistics and Epidemiology, School of Public HealthSun Yat‐Sen UniversityGuangzhouChina
- Guangdong Provincial Key Laboratory of Food, Nutrition and HealthSun Yat‐Sen UniversityGuangzhouChina
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Chakrabarti AK, Drexler Y, Swift S, Lash JP, Kaplan RC, Perreira KM, Mendoza JM, Daviglus M, Pirzada A, Sotres-Alvarez D, Johns T, Elfassy T. Life's Essential 8, Cardiovascular Health, and CKD Progression among Hispanic/Latino Adults: The Hispanic Community Health Study/Study of Latinos Study. Clin J Am Soc Nephrol 2025; 20:502-511. [PMID: 40019804 PMCID: PMC12007832 DOI: 10.2215/cjn.0000000656] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2024] [Accepted: 02/14/2025] [Indexed: 04/11/2025]
Abstract
Key Points In US Hispanic/Latino adults with CKD, better cardiovascular health is associated with slower eGFR declines and improvements in albumin-to-creatinine ratio over 6 years. These findings support the implementation of a heart healthy lifestyle to delay CKD progression among US Hispanic/Latino adults. Background The primary cause of death in CKD is cardiovascular disease. Life's essential 8 (LE8) is an established measure of cardiovascular health (CVH). Our objective was to examine the relationship between CVH (LE8 score) and CKD progression among Hispanic/Latino adults, an understudied but growing population. Methods The Hispanic Community Health Study/Study of Latinos is a longitudinal cohort of Hispanic/Latino adults aged 18–74 years from four cities in the United States, examined at visit 1 (V1, 2008–2011) and visit 2 (2014–2017). At V1, participants underwent a comprehensive assessment of health behaviors (diet, physical activity, nicotine exposure, and sleep health) and clinical measurements (body mass index, blood lipids, blood glucose, and BP) used to estimate an LE8 score (range: 0–100). We included 1284 participants with CKD at V1, defined as eGFR <60 ml/min per 1.73 m2 and/or urine albumin-to-creatinine ratio (ACR) ≥30 mg/g. Change in eGFR and log(ACR) was defined as the difference in each measure between V1 and visit 2. To estimate the association between LE8 score with change in eGFR and log(ACR), we used linear regression models adjusted for follow-up time and demographic, socioeconomic, and clinical factors. All analyses accounted for Hispanic Community Health Study/Study of Latinos complex survey design. Results Among 1284 Hispanic/Latino participants with CKD at V1, the mean age was 48.6 years (SEM: 0.8), 57.2% were women, and the mean LE8 score was 61.1 (SEM: 0.7). Over an average of 6 years of follow-up, eGFR declined by 5.8 ml/min per 1.73 m2 and log(ACR) declined by 0.60. From multivariable adjusted models, for each 10-unit higher LE8 score, eGFR was lower by 0.97 ml/min per 1.73 m2 less (95% confidence interval, −1.93 to −0.02) and log(ACR) was lower by an additional 0.15 (95% confidence interval, 0.05 to 0.25). Conclusions Among diverse US Hispanic/Latino adults with CKD, higher LE8 score (better CVH) was associated with a slower decline in eGFR and lower albuminuria over 6 years.
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Affiliation(s)
- Amit K. Chakrabarti
- Department of Medicine, University of Miami Miller School of Medicine, Miami, Florida
| | - Yelena Drexler
- Katz Family Division of Nephrology and Hypertension, Department of Medicine, University of Miami Miller School of Medicine, Miami, Florida
| | - Samuel Swift
- College of Population Health, University of New Mexico, Albuquerque, New Mexico
| | - James P. Lash
- Department of Medicine, University of Illinois College of Medicine, Chicago, Illinois
| | - Robert C. Kaplan
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, New York
| | - Krista M. Perreira
- Department of Social Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Jair Munoz Mendoza
- Katz Family Division of Nephrology and Hypertension, Department of Medicine, University of Miami Miller School of Medicine, Miami, Florida
| | - Martha Daviglus
- Institute for Minority Health Research, University of Illinois at Chicago, Chicago, Illinois
| | - Amber Pirzada
- Institute for Minority Health Research, University of Illinois at Chicago, Chicago, Illinois
| | - Daniela Sotres-Alvarez
- Collaborative Studies Coordinating Center, Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Tanya Johns
- Department of Medicine, Albert Einstein College of Medicine, Bronx, New York
| | - Tali Elfassy
- Katz Family Division of Nephrology and Hypertension, Department of Medicine, University of Miami Miller School of Medicine, Miami, Florida
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80
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Loh WJ, Watts GF. Cardiometabolic risk factors in women: what's sauce for the goose is not sauce for the gander. Curr Opin Endocrinol Diabetes Obes 2025; 32:59-65. [PMID: 39221620 DOI: 10.1097/med.0000000000000882] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 09/04/2024]
Abstract
PURPOSE OF REVIEW The aim of this review was to discuss cardiometabolic risk factors that affect women. RECENT FINDINGS Recent calls to action to address cardiometabolic risk factors specific to women relate to increasing evidence of sex-specific differences in patient-related, drug-related, and socio-demographic factors leading to sub-optimal care of women. SUMMARY Certain aspects of common modifiable cardiovascular risk factors (e.g. smoking, hypertension, dyslipidaemia and diabetes) affect female individuals more adversely. Additionally, there are risk factors or enhancers that particularly affect cardiometabolic health in women [e.g. premature menopause, polycystic ovarian syndrome (PCOS), familial partial lipodystrophy, socio-cultural factors]. Understanding these risk factors may provide insight on how to improve cardiometabolic outcomes in women.
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Affiliation(s)
- Wann Jia Loh
- Department of Endocrinology, Changi General Hospital
- Duke-NUS Medical School, Singapore
- Medical School, University of Western Australia
| | - Gerald F Watts
- Medical School, University of Western Australia
- Department of Cardiology and Internal Medicine, Royal Perth Hospital, Perth, Australia
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81
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Tu D, Sun J, Wang P, Xu Q, Ma C. Overall Sleep Quality Is Associated With Advanced Stages in Patients With Cardiovascular-Kidney-Metabolic Syndrome. J Am Heart Assoc 2025; 14:e038674. [PMID: 40130386 DOI: 10.1161/jaha.124.038674] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/03/2024] [Accepted: 01/17/2025] [Indexed: 03/26/2025]
Abstract
BACKGROUND In 2023, the American Heart Association defined the concept of cardiovascular-kidney-metabolic (CKM) syndrome as a health disorder ascribed to connections among obesity, diabetes, chronic kidney disease, and cardiovascular disease. We aim to examine the association between overall sleep quality and advanced CKM syndrome. METHODS This cross-sectional study used data on US adults from the National Health and Nutrition Examination Survey 2015 to 2020. Overall sleep quality was evaluated by summarizing 5 sleep behaviors: sleep duration, trouble sleeping, daytime sleepiness, snoring, and nocturia. CKM syndrome was classified into 5 stages: stage 0, no risk factors; stage 1, excess adiposity; stage 2, metabolic risk factors and kidney disease; stage 3, subclinical cardiovascular disease; and stage 4, clinical cardiovascular disease. CKM syndrome stages 3 and 4 are considered advanced. The association between overall sleep quality and advanced CKM syndrome was assessed using a multivariable weighted logistic regression model. RESULTS Of the 12 245 adults included in our study, 10 607 participants met the criteria for CKM syndrome (stage ≥1), and 8930 were categorized into nonadvanced CKM syndrome, while 1677 were categorized into advanced CKM syndrome. Compared with patients with CKM syndrome in the low-sleep-quality group, the adjusted odds ratios for advanced CKM syndrome were 0.68 (95% CI, 0.54-0.87) for those in the moderate sleep quality group and 0.55 (95% CI, 0.40-0.75) for those in the high-sleep-quality group, respectively. CONCLUSIONS Patients with CKM syndrome with higher overall sleep quality had a lower likelihood of being in advanced stages.
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Affiliation(s)
- Dingyuan Tu
- Department of Cardiology The 961st Hospital of the Joint Logistics Support Force of The Chinese People's Liberation Army Qiqihar China
| | - Jie Sun
- Hospital-Acquired Infection Control Department Yantai Ludong Hospital Yantai Shandong China
| | - Pengru Wang
- Department of Orthopedic Oncology Changzheng Hospital, Naval Medical University Shanghai China
| | - Qiang Xu
- Department of Cardiology Navy 905 Hospital, Naval Medical University Shanghai China
| | - Chaoqun Ma
- Department of Cardiology, State Key Laboratory of Frigid Zone Cardiovascular Diseases (SKLFZCD) Cardiovascular Research Institute, General Hospital of Northern Theater Command Shenyang Liaoning China
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Feng Y, Wang S, Zhao L, Guo X, Shen Z, Zhang Y, Tarimo CS, Wang C, Fu H, Jiang S, Duan Y, Miao Y, Wu J. Lifestyle behaviours and physical, psychological, and cognitive multimorbidity among older hypertensive population in remote areas of China. Public Health 2025; 241:24-32. [PMID: 39938279 DOI: 10.1016/j.puhe.2025.02.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2024] [Revised: 02/02/2025] [Accepted: 02/04/2025] [Indexed: 02/14/2025]
Abstract
OBJECTIVES With the intensification of aging, the proportion of people affected by multimorbidity is steadily increasing worldwide. In remote areas of China, where economic development is lagging and healthcare resources are limited, the older hypertensive population may experience a higher burden of multimorbidity. However, comprehensive evidence is still lacking on how specific combinations of lifestyle behaviours (LBs) impact particular multimorbidity health outcomes in older hypertensive individuals. STUDY DESIGN A cross-sectional study was conducted among the older hypertensive population (aged ≥65 years) from 1 July to August 31, 2023 in Jia County, a remote area of China. METHODS A total of 40 diseases were categorized into physical, psychological and cognitive disorders. Multivariable-adjusted logistic regression models were used to estimate ORs and 95 % CIs for the associations between LBs and multimorbidity. RESULTS Among 17,728 participants, the prevalence of physical, psychological, cognitive, physical-psychological multimorbidity (PPsM), physical-cognitive multimorbidity (PCM), psychological-cognitive multimorbidity (PsCM), and physical-psychological-cognitive multimorbidity (PPsCM) were 63.55 %, 30.12 %, 64.55 %, 22.31 %, 42.03 %, 22.57 %, and 16.74 %, respectively. Compared to participants without any healthy LBs, those with five healthy LBs were associated with a lower risk of physical, psychological, cognitive, PPsM, PCM, PsCM, and PPsCM. Overall, the risk of adverse outcomes decreased with the number of healthy LBs (Ptrend<0.001). However, combinations of healthy LBs of the same quantity but from different categories exhibited varying impacts on the outcomes. CONCLUSIONS Multimorbidity involving physical, psychological, and cognitive disorders poses a significant challenge for managing hypertention. Strengthening the capacity of primary healthcare workers to promote healthy lifestyle practices and identifying the optimal LB combinations should be prioritized in the management of hypertensive individuals in remote areas of China.
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Affiliation(s)
- Yifei Feng
- Department of Health Management, College of Public Health, Zhengzhou University, Zhengzhou, Henan, China
| | - Saiyi Wang
- Department of Health Management, College of Public Health, Zhengzhou University, Zhengzhou, Henan, China
| | - Lipei Zhao
- Department of Health Management, College of Public Health, Zhengzhou University, Zhengzhou, Henan, China
| | - Xinghong Guo
- Department of Health Management, College of Public Health, Zhengzhou University, Zhengzhou, Henan, China
| | - Zhanlei Shen
- Department of Health Management, College of Public Health, Zhengzhou University, Zhengzhou, Henan, China
| | - Yijing Zhang
- Department of Health Management, College of Public Health, Zhengzhou University, Zhengzhou, Henan, China
| | - Clifford Silver Tarimo
- Department of Health Management, College of Public Health, Zhengzhou University, Zhengzhou, Henan, China; Department of Science and Laboratory Technology, Dar es salaam Institute of Technology, P.O. Box 2958, Dar es Salaam, Tanzania
| | - Chengzeng Wang
- The First Affiliated Hospital of Zhengzhou University, Jianshe Road, Zhengzhou, Henan, China
| | - Hang Fu
- The First Affiliated Hospital of Zhengzhou University, Jianshe Road, Zhengzhou, Henan, China
| | - Shuai Jiang
- The First Affiliated Hospital of Zhengzhou University, Jianshe Road, Zhengzhou, Henan, China
| | - Yanran Duan
- The First Affiliated Hospital of Zhengzhou University, Jianshe Road, Zhengzhou, Henan, China
| | - Yudong Miao
- Department of Health Management, College of Public Health, Zhengzhou University, Zhengzhou, Henan, China.
| | - Jian Wu
- Department of Health Management, College of Public Health, Zhengzhou University, Zhengzhou, Henan, China.
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Aris IM, Rifas-Shiman SL, de Ferranti SD, Hivert MF, Perng W. Prenatal and Perinatal Factors of Life's Essential 8 Cardiovascular Health Trajectories. JAMA Netw Open 2025; 8:e257774. [PMID: 40299384 DOI: 10.1001/jamanetworkopen.2025.7774] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 04/30/2025] Open
Abstract
Importance The American Heart Association put forth the Life's Essential 8 construct to assess cardiovascular health (CVH) based on 8 biological and behavioral factors. Few studies have identified prenatal and perinatal factors of CVH trajectories across childhood and adolescence, life stages where disease precursors and health behaviors are established. Objective To examine associations of prenatal and perinatal factors with child CVH trajectory. Design, setting, and participants Data from the Project Viva prebirth cohort from April 1999 to August 2021 were used. Participant inclusion required 3 or more CVH metrics in early childhood (median [range] age, 3.2 [2.8-6.2] years) or 4 or more in midchildhood (median [range] age, 7.7 [6.6-10.9] years), early adolescence (median [range] age, 13.0 [11.9-16.6] years), or late adolescence (median [range] age, 17.5 [15.4-20.1] years). Data were analyzed from April 1 to September 30, 2024. Exposures Prenatal and perinatal factors. Main outcomes and measures CVH score (0-100 points), calculated as the unweighted average of all available CVH metrics at each life stage. Results Among 1333 children included, 680 (51.0%) were male, 78 (5.9%) Hispanic, 181 (13.6%) non-Hispanic Black, and 959 (71.9%) non-Hispanic White. The estimated mean (SD) age of inflection when CVH started to decline was 10.2 (0.7) years for male children and 10.0 (0.6) years for female children. Prepregnancy overweight or obesity (vs healthy or underweight), smoking during pregnancy (vs never), and formula-feeding (vs breastfeeding) in the first 6 months were each associated with lower CVH from childhood to adolescence, but gestational diabetes (vs normal glucose tolerance) was not associated with CVH. Prepregnancy obesity was associated with later inflection (β = 0.1; 95% CI, 0.0 to 0.2 years) and slower CVH decline after inflection (β = 0.2; 95% CI, 0.1 to 0.4 points per year). Gestational hypertension or preeclampsia (vs normal blood pressure) was associated with faster CVH gain before inflection (β = 0.3; 95% CI, 0.1 to 0.5 points per year), earlier inflection (β = -0.1; 95% CI, -0.2 to 0.0 years), and faster CVH decline after inflection (β = -0.3; 95% CI, -0.5 to -0.1 points per year), while smoking during pregnancy was associated with later inflection (β = 0.2; 95% CI, 0.1 to 0.3 years). Conclusions and Relevance In this cohort study, prepregnancy overweight or obesity, smoking during pregnancy, and formula-feeding in the first 6 months of life were each associated with adverse CVH trajectories early in life. Future work should examine whether interventions that address these factors would be effective in optimizing CVH in children.
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Affiliation(s)
- Izzuddin M Aris
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts
| | - Sheryl L Rifas-Shiman
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts
| | | | - Marie-France Hivert
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts
- Diabetes Unit, Massachusetts General Hospital, Boston
| | - Wei Perng
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center and the Department of Epidemiology, University of Colorado Anschutz Medical Campus, Aurora
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84
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Au Yeung SL, Goto A. Cardiovascular Effect of Snoring in Asians: What Do Biobank and Genomic Studies Say? Respirology 2025; 30:278-279. [PMID: 40024626 DOI: 10.1111/resp.70014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2025] [Accepted: 02/17/2025] [Indexed: 03/04/2025]
Abstract
See related article
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Affiliation(s)
- Shiu Lun Au Yeung
- School of Public Health, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Atsushi Goto
- Department of Public Health, School of Medicine, Yokohama City University, Kanagawa, Japan
- Department of Health Data Science, Graduate School of Data Science, Yokohama City University, Kanagawa, Japan
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85
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Zeng X, Chen R, Shi D, Zhang X, Su T, Wang Y, Hu Y, He M, Yu H, Shang X. Association of metabolomic aging acceleration and body mass index phenotypes with mortality and obesity-related morbidities. Aging Cell 2025; 24:e14435. [PMID: 39663904 PMCID: PMC11984667 DOI: 10.1111/acel.14435] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2024] [Revised: 11/13/2024] [Accepted: 11/17/2024] [Indexed: 12/13/2024] Open
Abstract
This study aims to investigate the association between metabolomic aging acceleration and body mass index (BMI) phenotypes with mortality and obesity-related morbidities (ORMs). 85,458 participants were included from the UK Biobank. Metabolomic age was determined using 168 metabolites. The Chronological Age-Adjusted Gap was used to define metabolomically younger (MY) or older (MO) status. BMI categories were defined as normal weight, overweight, and obese. Participants were categorized into MY normal weight (MY-NW, reference), MY overweight (MY-OW), MY obesity (MY-OB), MO normal weight (MO-NW), MO overweight (MO-OW), and MO obesity (MO-OB). Mortality and 43 ORMs were identified through death registries and hospitalization records. Compared with MY-NW phenotype, MO-OB phenotype yielded increased risk of mortality and 32 ORMs, followed by MO-OW with mortality and 27 ORMs, MY-OB with mortality and 26 ORMs, MY-OW with 21 ORMs, and MO-NW with mortality and 14 ORMs. Consistently, MO-OB phenotype showed the highest risk of developing obesity-related multimorbidities, followed by MY-OB phenotype, MO-OW phenotype, MY-OW phenotype, and MO-NW phenotype. Additive interactions were found between metabolomic aging acceleration and obesity on CVD-specific mortality and 10 ORMs. Additionally, individuals with metabolomic aging acceleration had higher mortality and cardiovascular risk, even within the same BMI category. These findings suggest that metabolomic aging acceleration could help stratify mortality and ORMs risk across different BMI categories. Weight management should also be extended to individuals with overweight or obesity even in the absence of accelerated metabolomic aging, as they face increased healthy risk compared with MY-NW individuals. Additionally, delaying metabolic aging acceleration is needed for all metabolomically older groups, including those with normal weight.
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Affiliation(s)
- Xiaomin Zeng
- Guangdong Eye Institute, Department of Ophthalmology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences)Southern Medical UniversityGuangzhouChina
| | - Ruiye Chen
- The Ophthalmic Epidemiology DepartmentCentre for Eye Research AustraliaMelbourneVictoriaAustralia
- Department of SurgeryUniversity of MelbourneMelbourneVictoriaAustralia
| | - Danli Shi
- School of OptometryThe Hong Kong Polytechnic UniversityKowloonHong Kong
- Research Centre for SHARP Vision (RCSV)The Hong Kong Polytechnic UniversityKowloonHong Kong
| | - Xiayin Zhang
- Guangdong Eye Institute, Department of Ophthalmology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences)Southern Medical UniversityGuangzhouChina
| | - Ting Su
- Guangdong Eye Institute, Department of Ophthalmology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences)Southern Medical UniversityGuangzhouChina
| | - Yaxin Wang
- Guangdong Eye Institute, Department of Ophthalmology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences)Southern Medical UniversityGuangzhouChina
| | - Yijun Hu
- Guangdong Eye Institute, Department of Ophthalmology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences)Southern Medical UniversityGuangzhouChina
| | - Mingguang He
- Guangdong Eye Institute, Department of Ophthalmology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences)Southern Medical UniversityGuangzhouChina
- The Ophthalmic Epidemiology DepartmentCentre for Eye Research AustraliaMelbourneVictoriaAustralia
- Department of SurgeryUniversity of MelbourneMelbourneVictoriaAustralia
- School of OptometryThe Hong Kong Polytechnic UniversityKowloonHong Kong
- Research Centre for SHARP Vision (RCSV)The Hong Kong Polytechnic UniversityKowloonHong Kong
- Centre for Eye and Vision Research (CEVR)Hong KongHong Kong
| | - Honghua Yu
- Guangdong Eye Institute, Department of Ophthalmology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences)Southern Medical UniversityGuangzhouChina
- Guangdong Provincial Key Laboratory of Artificial Intelligence in Medical Image Analysis and ApplicationGuangzhouChina
| | - Xianwen Shang
- Guangdong Eye Institute, Department of Ophthalmology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences)Southern Medical UniversityGuangzhouChina
- The Ophthalmic Epidemiology DepartmentCentre for Eye Research AustraliaMelbourneVictoriaAustralia
- Department of SurgeryUniversity of MelbourneMelbourneVictoriaAustralia
- School of OptometryThe Hong Kong Polytechnic UniversityKowloonHong Kong
- Research Centre for SHARP Vision (RCSV)The Hong Kong Polytechnic UniversityKowloonHong Kong
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Peng Y, Zhang Y, Kam KW, Wong G, Ho M, Sezto S, Au S, Zhang X, Ng MPH, Ip P, Young A, Pang CP, Tham CC, Chen LJ, Yam JC. Associations of Cardiovascular Health and New-Onset Age-Related Macular Diseases From UK Biobank. Invest Ophthalmol Vis Sci 2025; 66:63. [PMID: 40261662 PMCID: PMC12020950 DOI: 10.1167/iovs.66.4.63] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2025] [Accepted: 03/24/2025] [Indexed: 04/24/2025] Open
Abstract
Purpose This study aimed to investigate the correlation between cardiovascular health (CVH), evaluated through the Life's Essential 8 (LE8) score, and the risk of new-onset age-related macular degeneration (AMD). Methods This longitudinal analysis included 271,274 participants who were free of both cardiovascular diseases and AMD at baseline. The LE8 score was classified into three categories: low (<50 points), moderate (50 to <80 points), and high (≥80 points), with higher scores indicating better CVH. Cox proportional hazards models were used to explore the relationships between the CVH and AMD incidence. Furthermore, the population attributable risk (PAR%) was calculated for CVH and each individual metric. Results During an average follow-up duration of 10.9 years, a total of 7468 (2.8%) cases of AMD were documented. Individuals with moderate and high CVH levels had a 14% (hazard ratio [HR] = 0.86; 95% confidence interval [CI], 0.78-0.94) and 23% (HR = 0.77; 95% CI, 0.69-0.86) reduced risk of developing AMD, respectively. A linear dose-response relationship was identified between the cumulative LE8 score and the incidence of AMD. Attaining optimal CVH in all individuals could potentially avert 9.4% (95% CI, 3.7%-15.1%) of AMD cases. Among the CVH metrics, ideal blood glucose and blood pressure levels were related to a reduction of 3.3% and 8.7% in AMD cases, respectively. Conclusions Enhanced CVH is significantly associated with a reduced risk of developing AMD. Promoting CVH through the LE8 guideline might potentially contribute to the prevention of AMD.
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Affiliation(s)
- Yu Peng
- Department of Ophthalmology and Visual Sciences, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Yuzhou Zhang
- Department of Ophthalmology and Visual Sciences, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Ka Wai Kam
- Department of Ophthalmology and Visual Sciences, The Chinese University of Hong Kong, Hong Kong SAR, China
- Department of Ophthalmology and Visual Sciences, Prince of Wales Hospital, Hong Kong Eye Hospital, Hong Kong SAR, China
| | - Gavin Wong
- Department of Ophthalmology and Visual Sciences, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Mary Ho
- Department of Ophthalmology and Visual Sciences, The Chinese University of Hong Kong, Hong Kong SAR, China
- Department of Ophthalmology and Visual Sciences, Prince of Wales Hospital, Hong Kong Eye Hospital, Hong Kong SAR, China
| | - Simon Sezto
- Department of Ophthalmology and Visual Sciences, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Sunny Au
- Department of Ophthalmology, Tung Wah Eastern Hospital, Hong Kong SAR, China
| | - Xiujuan Zhang
- Department of Ophthalmology and Visual Sciences, The Chinese University of Hong Kong, Hong Kong SAR, China
- Department of Ophthalmology, The University of Hong Kong, Hong Kong SAR, China
| | - Mandy P. H. Ng
- Department of Ophthalmology and Visual Sciences, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Patrick Ip
- Department of Paediatrics and Adolescent Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Alvin Young
- Department of Ophthalmology and Visual Sciences, The Chinese University of Hong Kong, Hong Kong SAR, China
- Department of Ophthalmology and Visual Sciences, Prince of Wales Hospital, Hong Kong Eye Hospital, Hong Kong SAR, China
| | - Chi Pui Pang
- Department of Ophthalmology and Visual Sciences, The Chinese University of Hong Kong, Hong Kong SAR, China
- Hong Kong Hub of Paediatric Excellence, The Chinese University of Hong Kong, Hong Kong SAR, China
- Shantou University/The Chinese University of Hong Kong Joint Shantou International Eye Centre, China
| | - Clement C. Tham
- Department of Ophthalmology and Visual Sciences, The Chinese University of Hong Kong, Hong Kong SAR, China
- Department of Ophthalmology and Visual Sciences, Prince of Wales Hospital, Hong Kong Eye Hospital, Hong Kong SAR, China
- Hong Kong Hub of Paediatric Excellence, The Chinese University of Hong Kong, Hong Kong SAR, China
- Shantou University/The Chinese University of Hong Kong Joint Shantou International Eye Centre, China
- Hong Kong Eye Hospital, Hong Kong SAR, China
- Department of Ophthalmology, Hong Kong Children's Hospital, Hong Kong SAR, China
| | - Li Jia Chen
- Department of Ophthalmology and Visual Sciences, The Chinese University of Hong Kong, Hong Kong SAR, China
- Department of Ophthalmology and Visual Sciences, Prince of Wales Hospital, Hong Kong Eye Hospital, Hong Kong SAR, China
- Hong Kong Hub of Paediatric Excellence, The Chinese University of Hong Kong, Hong Kong SAR, China
- Shantou University/The Chinese University of Hong Kong Joint Shantou International Eye Centre, China
- Hong Kong Eye Hospital, Hong Kong SAR, China
| | - Jason C. Yam
- Department of Ophthalmology and Visual Sciences, The Chinese University of Hong Kong, Hong Kong SAR, China
- Department of Ophthalmology and Visual Sciences, Prince of Wales Hospital, Hong Kong Eye Hospital, Hong Kong SAR, China
- Hong Kong Hub of Paediatric Excellence, The Chinese University of Hong Kong, Hong Kong SAR, China
- Shantou University/The Chinese University of Hong Kong Joint Shantou International Eye Centre, China
- Hong Kong Eye Hospital, Hong Kong SAR, China
- Department of Ophthalmology, Hong Kong Children's Hospital, Hong Kong SAR, China
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87
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Saner H, Möri K, Schütz N, Buluschek P, Nef T. Sleep characteristics and self-reported sleep quality in the oldest-old: Results from a prospective longitudinal cohort study. J Sleep Res 2025; 34:e14348. [PMID: 39300712 PMCID: PMC11911049 DOI: 10.1111/jsr.14348] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2024] [Revised: 07/31/2024] [Accepted: 09/02/2024] [Indexed: 09/22/2024]
Abstract
Little is known about the correlation between subjective perception and objective measures of sleep quality in particular in the oldest-old. The aim of this study was to perform longitudinal home sleep monitoring in this age group, and to correlate results with self-reported sleep quality. This is a prospective longitudinal home sleep-monitoring study in 12 oldest-old persons (age 83-100 years, mean 93 years, 10 females) without serious sleep disorders over 1 month using a contactless piezoelectric bed sensor (EMFIT QS). Participants provided daily information about perceived sleep. Duration in bed: 264-639 min (M = 476 min, SD = 94 min); sleep duration: 239-561 min (M = 418 min, SD = 91 min); sleep efficiency: 83.9%-90.7% (M = 87.4%, SD = 5.0%); rapid eye movement sleep: 21.1%-29.0% (M = 24.9%, SD = 5.5%); deep sleep: 13.3%-19.6% (M = 16.8%, SD = 4.5%). All but one participant showed a weak (r = 0.2-0.39) or very weak (r = 0-0.19) positive or negative correlation between self-rated sleep quality and the sleep score. In conclusion, longitudinal sleep monitoring in the home of elderly people by a contactless piezoelectric sensor system is feasible and well accepted. Subjective perception of sleep quality does not correlate well with objective measures in our study. Our findings may help to develop new approaches to sleep problems in the oldest-old including home monitoring. Further studies are needed to explore the full potential of this approach.
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Affiliation(s)
- Hugo Saner
- ARTORG Center for Biomedical Engineering Research, University of BernBernSwitzerland
- Institute for Social and Preventive Medicine, University of BernBernSwitzerland
| | - Kevin Möri
- ARTORG Center for Biomedical Engineering Research, University of BernBernSwitzerland
| | | | | | - Tobias Nef
- ARTORG Center for Biomedical Engineering Research, University of BernBernSwitzerland
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88
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Garcia-Garcia G, Norris KC. The Cardiovascular-Kidney Connection in the Hispanic/Latino Community. Clin J Am Soc Nephrol 2025; 20:469-470. [PMID: 40072501 PMCID: PMC12007820 DOI: 10.2215/cjn.0000000691] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/14/2025]
Affiliation(s)
- Guillermo Garcia-Garcia
- Centro Universitario de Ciencias de la Salud, Departamento de Clínicas Médicas, Universidad de Guadalajara, Guadalajara, Mexico
| | - Keith C. Norris
- Division of General Internal Medicine and Health Services Research, University of California, Los Angeles, Los Angeles, California
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89
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Liu M, Marinacci LX, Joynt Maddox KE, Wadhera RK. Cardiovascular Health Among Rural and Urban US Adults-Healthcare, Lifestyle, and Social Factors. JAMA Cardiol 2025:2832034. [PMID: 40163358 PMCID: PMC11959481 DOI: 10.1001/jamacardio.2025.0538] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/15/2024] [Accepted: 02/12/2025] [Indexed: 04/02/2025]
Abstract
Importance Improving cardiovascular health in rural areas is a national priority in the US. However, little is known about the current state of rural cardiovascular health and the underlying drivers of any rural-urban disparities. Objective To compare rates of cardiometabolic risk factors and cardiovascular diseases between rural and urban US adults and to evaluate the extent to which health care access, lifestyle factors, and social risk factors contribute to any rural-urban differences. Design, Setting, and Participants This nationally representative cross-sectional study analyzed data from US adults aged 20 years or older residing in rural vs urban areas using the 2022 National Health Interview Survey. Data were analyzed between August 2024 and February 2025. Exposure County-level rurality. Main Outcomes and Measures The primary outcomes were age-standardized rates of cardiometabolic risk factors (hypertension, hyperlipidemia, obesity, and diabetes) and cardiovascular diseases (coronary heart disease [CHD] and stroke). Results The study population consisted of 27 172 adults, including 4256 adults (14.0%) residing in rural areas, 14 741 (54.8%) in small or medium metropolitan areas, and 8175 (31.2%) in urban areas. Mean (SD) participant age was 49.1 (17.8) years, and 4399 participants (50.8%) were female. Compared with their urban counterparts, rural adults were more likely to smoke, be insufficiently physically active, and have more social risk factors. Age-standardized rates of cardiometabolic risk factors were significantly higher in rural areas, including hypertension (37.1% vs 30.9%; rate ratio [RR], 1.20; 95% CI, 1.13-1.27), hyperlipidemia (29.3% vs 26.7%; RR, 1.10; 95% CI, 1.03-1.18), obesity (41.1% vs 30.0%; RR, 1.37; 95% CI, 1.27-1.47), and diabetes (11.2% vs 9.8%; RR, 1.15; 95% CI, 1.02-1.29). The same pattern was observed for CHD (6.7% vs 4.3%; RR, 1.58; 95% CI, 1.35-1.85), but no differences were observed for stroke. The magnitude of rural-urban disparities was largest among young adults (aged 20-39 years) for hypertension (RR, 1.44; 95% CI, 1.12-1.86), obesity (RR, 1.54; 95% CI, 1.34-1.77), and diabetes (RR, 2.59; 95% CI, 1.54-4.38). Rural-urban disparities in cardiovascular health were not meaningfully attenuated after adjustment for measures of health care access (insurance coverage, usual source of care, and recent health care utilization) and lifestyle factors (smoking and physical activity). However, accounting for social risk factors (poverty, education level, food insecurity, and home ownership) completely attenuated rural-urban disparities in hypertension (adjusted RR [aRR], 0.99; 95% CI, 0.93-1.06), diabetes (aRR, 1.02; 95% CI, 0.90-1.15), and CHD (aRR, 1.08; 95% CI, 0.91-1.29), but only partially attenuated disparities in obesity (aRR, 1.29; 95% CI, 1.20-1.39). Conclusions and Relevance This national cross-sectional study found substantial rural-urban disparities in cardiometabolic risk factors and cardiovascular diseases, which were largest among younger adults and almost entirely explained by social risk factors. These findings suggest that efforts to improve socioeconomic conditions in rural communities may be critical to address the rural-urban gap in cardiovascular health.
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Affiliation(s)
- Michael Liu
- Section of Health Policy and Equity, Richard A. and Susan F. Smith Center for Outcomes Research, Beth Israel Deaconess Medical Center, Boston, Massachusetts
- Harvard Medical School, Boston, Massachusetts
| | - Lucas X. Marinacci
- Section of Health Policy and Equity, Richard A. and Susan F. Smith Center for Outcomes Research, Beth Israel Deaconess Medical Center, Boston, Massachusetts
| | - Karen E. Joynt Maddox
- Cardiovascular Division, John T. Milliken Department of Internal Medicine, Washington University School of Medicine in St Louis, St Louis, Missouri
- Center for Health Economics and Policy, Institute for Public Health, Washington University in St Louis, St Louis, Missouri
| | - Rishi K. Wadhera
- Section of Health Policy and Equity, Richard A. and Susan F. Smith Center for Outcomes Research, Beth Israel Deaconess Medical Center, Boston, Massachusetts
- Harvard Medical School, Boston, Massachusetts
- Department of Health Policy and Management, Harvard T. H. Chan School of Public Health, Boston, Massachusetts
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90
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Tock WL, Tang Y, Gauvin L. Investigating modifiable risk factors associated with ideal cardiovascular health among cancer survivors: a scoping review. CARDIO-ONCOLOGY (LONDON, ENGLAND) 2025; 11:34. [PMID: 40165329 PMCID: PMC11956365 DOI: 10.1186/s40959-025-00329-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/21/2025] [Accepted: 03/14/2025] [Indexed: 04/02/2025]
Abstract
BACKGROUND Cancer survivors are at higher risk of developing cardiovascular diseases and face worse morbidity and mortality outcomes than the general population. The American Heart Association (AHA) introduced the Life's Essential 8 framework, encompassing eight modifiable risk factors and lifestyle behaviors for maintaining ideal cardiovascular health (CVH). Although this framework is well-established for predicting CVH in the general population, studies on its association with cardiovascular outcomes among cancer survivors remain scattered across the literature. OBJECTIVE This review maps existing literature surrounding modifiable risk factors, lifestyle behaviors, CVH, and cardiovascular outcomes among cancer survivors to take stock of what is known, identify methodological strengths and weaknesses, and propose promising research directions. METHODS A scoping review was conducted to identify studies examining different dimensions of ideal CVH in adult cancer survivors. Measurement methods of ideal CVH metrics, and determinants associated with CVH were examined. RESULTS Twenty-two articles met eligibility criteria. Of which, 82% (n = 18) were published in or after 2020. Fourteen studies (about 64%) followed the AHA's framework to conceptualize ideal CVH. Higher scores on ideal CVH are linked to better cardiovascular outcomes among cancer survivors with associations noted for social inequalities and neighborhood environmental factors, underscoring the complexity of CVH determinants in this population. CONCLUSIONS Research on ideal CVH among cancer survivors appears to have accelerated in recent years, yet many gaps remain to orient clinical and public health practice. Promising research directions include expanding investigations into pre-diagnosis CVH, addressing disparities in CVH across diverse populations, and conducting longitudinal studies to clarify causal pathways between lifestyle behaviors, cancer treatments, and cardiovascular outcomes.
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Affiliation(s)
- Wing Lam Tock
- Centre de Recherche du Centre Hospitalier de l'Université de Montréal (CRCHUM), Montréal, Québec, Canada
- École de Santé Publique, Département de Médecine Sociale et Préventive, Université de Montréal, Montréal, Québec, Canada
| | - Yujia Tang
- Ingram School of Nursing, Faculty of Medicine and Health Sciences, McGill University, Québec, Montréal, Canada
| | - Lise Gauvin
- Centre de Recherche du Centre Hospitalier de l'Université de Montréal (CRCHUM), Montréal, Québec, Canada.
- École de Santé Publique, Département de Médecine Sociale et Préventive, Université de Montréal, Montréal, Québec, Canada.
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91
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Rasero J, Verstynen TD, DuPont CM, Kraynak TE, Barinas-Mitchell E, Scudder MR, Kamarck TW, Sentis AI, Leckie RL, Gianaros PJ. Stressor-Evoked Brain Activity, Cardiovascular Reactivity, and Subclinical Atherosclerosis in Midlife Adults. J Am Heart Assoc 2025:e034908. [PMID: 40165059 DOI: 10.1161/jaha.124.034908] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/13/2024] [Accepted: 09/06/2024] [Indexed: 04/02/2025]
Abstract
BACKGROUND Cardiovascular responses to psychological stressors have been separately associated with preclinical atherosclerosis and hemodynamic brain activity patterns across different studies and cohorts; however, what has not been established is whether cardiovascular stress responses reliably link indicators of stressor-evoked brain activity and preclinical atherosclerosis that have been measured in the same individuals. Accordingly, the present study used cross-validation and predictive modeling to test for the first time whether stressor-evoked systolic blood pressure responses statistically mediated the association between concurrently measured brain activity and a vascular marker of preclinical atherosclerosis in the carotid arteries. METHODS AND RESULTS Six hundred twenty-four midlife adults (aged 28-56 years, 54.97% women) from 2 different cohorts underwent 2 information-conflict functional magnetic resonance imaging tasks, with concurrent systolic blood pressure measures collected. Carotid artery intima-media thickness was measured by ultrasonography. A mediation framework that included harmonization, cross-validation, and penalized principal component regression was then used. Brain areas where functional magnetic resonance imaging activity exhibited reliable direct and indirect effects were identified through bootstrapping. Sensitivity analysis further tested the robustness of findings after accounting for prevailing levels of cardiovascular disease risk and brain imaging data quality. Task-averaged patterns of functional magnetic resonance imaging activity across distributed brain areas exhibited a generalizable association with carotid artery intima-media thickness, which was reliably mediated by an area under the curve measure of aggregate systolic blood pressure reactivity. Importantly, this effect held in sensitivity analyses. Implicated brain areas in this mediation included the ventromedial prefrontal cortex, anterior cingulate cortex, insula, and amygdala. CONCLUSIONS These novel findings support a link between stressor-evoked brain activity and preclinical atherosclerosis, which is accounted for by individual differences in corresponding levels of stressor-evoked cardiovascular reactivity.
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Affiliation(s)
- Javier Rasero
- Department of Psychology and Neuroscience Institute Carnegie Mellon University Pittsburgh PA USA
- School of Data Science University of Virginia Charlottesville VA USA
| | - Timohy D Verstynen
- Department of Psychology and Neuroscience Institute Carnegie Mellon University Pittsburgh PA USA
| | | | | | | | - Mark R Scudder
- Department of Psychology University of Pittsburgh PA USA
| | | | - Amy I Sentis
- School of Medicine University of Pittsburgh PA USA
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92
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Shah NP, Singh A, Higano T, Tilki D, Fleshner N, Nguyen P, Plummer C, Rivas JG, Zhang K, Rendon R, Morgans A, Cirne F, Leong D, Lenihan D, Lopes RD. Addressing cardiovascular risks with a goal to prevent cardiovascular complications in patients undergoing antihormonal therapy for prostate cancer. CARDIO-ONCOLOGY (LONDON, ENGLAND) 2025; 11:31. [PMID: 40155990 PMCID: PMC11954300 DOI: 10.1186/s40959-025-00318-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/31/2024] [Accepted: 02/07/2025] [Indexed: 04/01/2025]
Abstract
Over 1 million cases of prostate cancer are reported every year, and it is the second most common cancer in men. Androgen deprivation therapy (ADT) is a hallmark treatment for prostate cancer but is associated with the development or exacerbation of cardiovascular disease. The most common cause of non-cancer death in patients with prostate cancer is cardiovascular disease. Thus, a better understanding of the prevalence of cardiovascular toxicity across all therapies, management of potential cardiovascular complications, and prevention of cardiovascular events is essential as treatments continue to evolve. In this article, the first in a 2-part series, we provide a review of the current landscape of ADT therapy and its association with cardiovascular disease, summarize recent clinical trial data evaluating cardiovascular outcomes, and provide insights on the management of cardiovascular risk factors and adverse events for clinicians managing this high-risk population of men undergoing potentially cardiotoxic treatment for prostate cancer.
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Affiliation(s)
- Nishant P Shah
- Duke Clinical Research Institute, P.O. Box 17969, Durham, NC, 27715, USA
| | - Avinash Singh
- Division of Cardiology, East Carolina University, Greenville, NC, USA
| | - Tia Higano
- Department of Urologic Sciences at the University of British Columbia, Vancouver, BC, Canada
| | - Derya Tilki
- Martini-Klinik Prostate Cancer Center and Department of Urology, University Hospital Hamburg-Eppendorf, Hamburg, Germany
| | - Neil Fleshner
- Division of Urology, University of Toronto, Toronto, ON, Canada
| | | | - Chris Plummer
- Freeman Hospital, The Newcastle Upon Tyne Hospitals NHS Foundation Trust, Newcastle Upon Tyne, UK
| | | | - Kathleen Zhang
- Department of Internal Medicine, UT Southwestern Medical Center, Dallas, TX, USA
| | - Ricardo Rendon
- Department of Urology, Dalhousie University, Halifax, NS, Canada
| | | | - Filipe Cirne
- Division of Cardiology, East Carolina University, Greenville, NC, USA
| | - Darryl Leong
- Department of Medicine and Population Health Research Institute, McMaster University, Hamilton, Canada
| | - Daniel Lenihan
- International Cardio-Oncology Society, Tampa, FL, USA
- St. Francis Healthcare, Cape Cardiology, Cape Girardeau, MO, USA
| | - Renato D Lopes
- Duke Clinical Research Institute, P.O. Box 17969, Durham, NC, 27715, USA.
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93
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Yu F, Sun Y, Ye S, Li Z, Yang D, Zheng R, Guo S, Zhang X, Zhao C, Zhang M, Zhao G, Ai S. Polysomnographic characteristics of patients with heart failure combined with sleep apnea: A systematic review and meta-analysis. Sleep Med 2025; 131:106486. [PMID: 40199034 DOI: 10.1016/j.sleep.2025.106486] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/31/2024] [Revised: 03/24/2025] [Accepted: 03/28/2025] [Indexed: 04/10/2025]
Abstract
AIMS Objective sleep parameters in patients with HF and their comorbidity with sleep-disordered breathing (SDB) are not fully understood. We aimed to investigate the polysomnography-measured sleep characteristics in HF patients using a systematic review and meta-analysis. METHODS PubMed, Embase, and Web of Science databases were searched for studies on PSG in HF patients. Meta-analyses were conducted to compare PSG parameters between HF patients and Non-HF, HF patients with and without SDB, HF patients with different types of SDB, and HF patients before and after SDB treatments. RESULTS HF patients showed decreased sleep efficiency (MD = -7.5 %, 95 %CI: [-10.8 %, -4.1 %], P < 0.001) and reduced slow wave sleep (MD = -3.2 %, 95 %CI: [-5.7 %, -0.7 %], P = 0.013) compared with those without HF. With comorbid SDB, HF patients experienced further decreases in sleep efficiency and total sleep time, and disruptions in sleep architecture, including decreased rapid-eye-movement sleep (MD = -3.4 %, 95 %CI: [-6.2 %, -0.5 %], P = 0.020) and SWS (MD = -3.1 %, 95 %CI: [-4.1 %, -2.1 %], P < 0.001). CONCLUSIONS HF patients showed poorer sleep continuity and less restorative sleep. Additionally, SDB was associated with poor objective sleep architecture in HF patients, indicated by a decrease in the percentage of deep sleep and an increase in sleep fragmentation. SDB treatments, such as adaptive servo-ventilation (ASV) and continuous positive airway pressure (CPAP), were associated with improved sleep quality and quantity in HF patients with SDB.
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Affiliation(s)
- Feng Yu
- Department of Cardiology, Life Science Research Center, Heart Center, The First Affiliated Hospital of Xinxiang Medical University, Weihui, Henan, China
| | - Yujing Sun
- Department of Cardiology, Life Science Research Center, Heart Center, The First Affiliated Hospital of Xinxiang Medical University, Weihui, Henan, China
| | - Shuo Ye
- Department of Cardiology, Life Science Research Center, Heart Center, The First Affiliated Hospital of Xinxiang Medical University, Weihui, Henan, China
| | - Zhexi Li
- Department of Cardiology, Life Science Research Center, Heart Center, The First Affiliated Hospital of Xinxiang Medical University, Weihui, Henan, China
| | - Dongxue Yang
- Department of Education, The Affiliated Brain Hospital, Guangzhou Medical University, Guangzhou, China
| | - Rui Zheng
- Center for Sleep and Circadian Medicine, The Affiliated Brain Hospital, Guangzhou Medical University, Guangzhou, Guangdong, China
| | - Sheng Guo
- Center for Sleep and Circadian Medicine, The Affiliated Brain Hospital, Guangzhou Medical University, Guangzhou, Guangdong, China
| | - Xuejiao Zhang
- Department of Cardiology, Life Science Research Center, Heart Center, The First Affiliated Hospital of Xinxiang Medical University, Weihui, Henan, China
| | - Chenhao Zhao
- Department of Cardiology, Life Science Research Center, Heart Center, The First Affiliated Hospital of Xinxiang Medical University, Weihui, Henan, China
| | - Min Zhang
- School of Cardiovascular and Metabolic Medicine and Sciences, King's College London British Heart Foundation Centre of Research Excellence, London, UK
| | - Guoan Zhao
- Department of Cardiology, Life Science Research Center, Heart Center, The First Affiliated Hospital of Xinxiang Medical University, Weihui, Henan, China
| | - Sizhi Ai
- Department of Cardiology, Life Science Research Center, Heart Center, The First Affiliated Hospital of Xinxiang Medical University, Weihui, Henan, China; Center for Sleep and Circadian Medicine, The Affiliated Brain Hospital, Guangzhou Medical University, Guangzhou, Guangdong, China; Key Laboratory of Neurogenetics and Channelopathies of Guangdong Province and the Ministry of Education of China, Guangzhou Medical University, Guangzhou, 510260, Guangdong, China; Institute of Psycho-neuroscience, The Affiliated Brain Hospital, Guangzhou Medical University, Guangzhou, 510370, Guangdong, China.
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94
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Empana JP, Perier MC, Warming PE, Marijon E, van Valkengoed I, Ågesen FN, Prescott E, Jabbari R, Climie RE, Elders P, Blom MT, Schwartz PJ, Tan HL, Tfelt-Hansen J, Jouven X. Baseline and 10-year change in the number of ideal cardiovascular health metrics and sudden cardiac death in the community. Europace 2025; 27:euaf046. [PMID: 40085819 PMCID: PMC11953004 DOI: 10.1093/europace/euaf046] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2024] [Revised: 12/17/2024] [Accepted: 02/16/2025] [Indexed: 03/16/2025] Open
Abstract
AIMS Adherence to an ideal cardiovascular health (CVH) might contribute to lower the burden of sudden cardiac death (SCD) in the community. We aimed to examine the association between the number of ideal CVH metrics at baseline and of its change over 10 years with the risk of SCD. METHODS AND RESULTS The Copenhagen City Heart Study is a community-based prospective cohort study. The number of ideal CVH metrics (range 0-6; non-smoking and ideal level of body mass index, physical activity, untreated glucose, untreated systolic blood pressure, and untreated total cholesterol levels) at baseline in 1991-94 and its 10-year change thereof between 1981-83 and 1991-94 were evaluated. Definite SCD was defined as a death occurring within 1 h (eye-witnessed case) or within 24 h (non-eye-witnessed) of symptoms onset, with the presence of confirmed ventricular tachycardia and the exclusion of non-cardiac cause at autopsy. Fine and Gray sub-distribution HRs (sHRs) were calculated to account for competing risk. The study population includes 8837 participants (57% women; mean age 57 years, ±15 years) in 1991-94. After a median follow-up of 22.6 years from 1 January 1993 up to 31 December 2016, 56 definite SCD occurred. The risk of definite SCD decreased gradually with the number of ideal metrics in 1991-94 [sHR = 0.58; 95% confidence interval (CI): 0.44-0.75 per additional ideal metric] and with the change (i.e. improvement) in the number of ideal metrics between 1981-83 and 1991-94 (sHR = 0.68; 0.50-0.93 per change in the number of ideal metrics). Effect size was lower for coronary death, all-cause mortality, and coronary heart disease events. CONCLUSION Adherence to a higher number of ideal cardiovascular health was related to a substantial lower risk of definite SCD.
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Affiliation(s)
- Jean-Philippe Empana
- Universite Paris Cité, Paris Cardiovascular Research Centre, Integrative Epidemiology of Cardiovascular Diseases, Paris, 56 rue Leblanc, 75015 Paris, France
- Paris Sudden Death Expertise Centre (SDEC), 56 rue Leblanc, 75015 Paris, France
| | - Marie-Cecile Perier
- Universite Paris Cité, Paris Cardiovascular Research Centre, Integrative Epidemiology of Cardiovascular Diseases, Paris, 56 rue Leblanc, 75015 Paris, France
- Paris Sudden Death Expertise Centre (SDEC), 56 rue Leblanc, 75015 Paris, France
| | - Peder Emile Warming
- Department of Cardiology, Copenhagen University Hospital—Rigshospitalet, Copenhagen, Denmark
| | - Eloi Marijon
- Universite Paris Cité, Paris Cardiovascular Research Centre, Integrative Epidemiology of Cardiovascular Diseases, Paris, 56 rue Leblanc, 75015 Paris, France
- Paris Sudden Death Expertise Centre (SDEC), 56 rue Leblanc, 75015 Paris, France
| | - Irene van Valkengoed
- Department of Public and Occupational Health, Amsterdam UMC Location University of Amsterdam, Meibergdreef 9, Amsterdam, The Netherlands
| | - Frederik N Ågesen
- Department of Cardiology, Copenhagen University Hospital—Rigshospitalet, Copenhagen, Denmark
| | - Eva Prescott
- Department of Cardiology, Copenhagen University Hospital—Bispebjerg and Frederiksberg, Copenhagen, Denmark
- The Copenhagen City Heart Study, Copenhagen University Hospital—Bispebjerg and Frederiksberg, Copenhagen, Denmark
| | - Rezza Jabbari
- Department of Cardiology, Copenhagen University Hospital—Rigshospitalet, Copenhagen, Denmark
| | - Rachel E Climie
- Universite Paris Cité, Paris Cardiovascular Research Centre, Integrative Epidemiology of Cardiovascular Diseases, Paris, 56 rue Leblanc, 75015 Paris, France
- Menzies Institute for Medical Research, University of Tasmanian, Hobart, Australia
- Baker Heart and Diabetes Institute, Melbourne, Australia
| | - Petra Elders
- Department of General Practice, Amsterdam UMC Location Vrije Universiteit Amsterdam, Boelelaan 1117, Amsterdam, The Netherlands
- Amsterdam University Medical Center location Academic Medical Center, Amsterdam Public Health Research Institute, Amsterdam, The Netherlands
| | - Marieke T Blom
- Department of General Practice, Amsterdam UMC Location Vrije Universiteit Amsterdam, Boelelaan 1117, Amsterdam, The Netherlands
- Amsterdam University Medical Center location Academic Medical Center, Amsterdam Public Health Research Institute, Amsterdam, The Netherlands
| | - Peter J Schwartz
- Center for Cardiac Arrhythmias of Genetic Origin and Laboratory of Cardiovascular Genetics, Istituto Auxologico Italiano IRCCS, Via Pier Lombardo 22, Milan 20135, Italy
| | - Hanno L Tan
- Department of Clinical and Experimental Cardiology, Amsterdam University Medical Center, University of Amsterdam, Amsterdam, the Netherlands
- Paris Cardiovascular Research Center, Integrative Epidemiology of cardiovascular diseases, Netherlands Heart Institute, Utrecht, The Netherlands
| | - J Tfelt-Hansen
- Department of Cardiology, Copenhagen University Hospital—Rigshospitalet, Copenhagen, Denmark
- Section of Forensic Genetics, Department of Forensic Medicine, Faculty of Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Xavier Jouven
- Universite Paris Cité, Paris Cardiovascular Research Centre, Integrative Epidemiology of Cardiovascular Diseases, Paris, 56 rue Leblanc, 75015 Paris, France
- Paris Sudden Death Expertise Centre (SDEC), 56 rue Leblanc, 75015 Paris, France
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95
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Krishnan A, Mukherjee D. Association of cardiovascular health metrics and metabolic associated fatty liver disease: Methodological limitations, and future directions. World J Hepatol 2025; 17:105635. [PMID: 40177198 PMCID: PMC11959666 DOI: 10.4254/wjh.v17.i3.105635] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/02/2025] [Revised: 02/21/2025] [Accepted: 02/27/2025] [Indexed: 03/26/2025] Open
Abstract
Metabolic-associated fatty liver disease (MAFLD), formerly known as nonalcoholic fatty liver disease, is an increasing global health challenge with substantial implications for metabolic and cardiovascular health (CVH). A recent study by Fu et al investigated the relationship between CVH metrics, specifically Life's Simple 7 and Life's Essential 8, and the prevalence of MAFLD. While this study offered important insights into the relationship between CVH and MAFLD, several methodological limitations, unaddressed confounding factors, and potential biases that could impact the interpretation of their findings should be considered. The study's cross-sectional nature restricted the ability to draw causal conclusions, and it did not fully account for potential confounding factors such as dietary habits, genetic predispositions, and medication use. Furthermore, relying on transient elastography to diagnose MAFLD introduces certain diagnostic limitations. Longitudinal study designs, advanced statistical modeling techniques, and diverse population groups should be utilized to strengthen future research. Exploring the mechanistic pathways that link CVH metrics to MAFLD through multi-omics approaches and interventional studies will be essential in formulating targeted prevention and treatment strategies. Structural equation modeling and machine learning techniques could provide a more refined analysis of these interrelated factors. Additionally, future research should employ longitudinal study designs and explore genetic and epigenetic influences to enhance our understanding of CVH and MAFLD interactions.
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Affiliation(s)
- Arunkumar Krishnan
- Department of Supportive Oncology, Atrium Health Levine Cancer, Charlotte, NC 28204, United States.
| | - Diptasree Mukherjee
- Department of Medicine, Apex Institute of Medical Science, Kolkata 700075, West Bengal, India
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96
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Kitai T, Kohsaka S, Kato T, Kato E, Sato K, Teramoto K, Yaku H, Akiyama E, Ando M, Izumi C, Ide T, Iwasaki YK, Ohno Y, Okumura T, Ozasa N, Kaji S, Kashimura T, Kitaoka H, Kinugasa Y, Kinugawa S, Toda K, Nagai T, Nakamura M, Hikoso S, Minamisawa M, Wakasa S, Anchi Y, Oishi S, Okada A, Obokata M, Kagiyama N, Kato NP, Kohno T, Sato T, Shiraishi Y, Tamaki Y, Tamura Y, Nagao K, Nagatomo Y, Nakamura N, Nochioka K, Nomura A, Nomura S, Horiuchi Y, Mizuno A, Murai R, Inomata T, Kuwahara K, Sakata Y, Tsutsui H, Kinugawa K. JCS/JHFS 2025 Guideline on Diagnosis and Treatment of Heart Failure. J Card Fail 2025:S1071-9164(25)00100-9. [PMID: 40155256 DOI: 10.1016/j.cardfail.2025.02.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/01/2025]
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97
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Satti DI, Chan JSK, Metlock FE, Mszar R, Mehta A, Chan RNC, Chang R, Spitz J, Saad A, Gaffey AE, Javed Z, Dastmalchi LN, Mehta A, Powell-Wiley T, Sharma G. Psychological Distress and Cardiovascular Health in Pregnancy: Findings From the U.S. National Health Interview Survey. JACC. ADVANCES 2025; 4:101683. [PMID: 40286355 DOI: 10.1016/j.jacadv.2025.101683] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/12/2024] [Revised: 02/20/2025] [Accepted: 02/21/2025] [Indexed: 04/29/2025]
Abstract
BACKGROUND The relationship between psychological health and cardiovascular health (CVH) during pregnancy is not well characterized. OBJECTIVES The purpose of this study was to perform a cross-sectional analysis in order to assess the relationships between psychological distress and CVH among pregnant individuals in the United States. METHODS U.S. National Health Interview Survey (2013-2018) data were used for the analyses. The sample included all pregnant participants aged ≥18 years, but excluded those with missing data for the exposure, outcome, or covariates. Psychological health was measured with the 6-item Kessler scale, and severe psychological distress was defined as 6-item Kessler scale ≥13. CVH was quantified using the American Heart Association's Life's Essential 8; as detailed dietary data were unavailable, a 7-item score was used (higher scores indicated worse CVH). Multivariable Poisson regression tested associations between severe psychological distress and CVH, adjusting for potential confounders including age, race/ethnicity, sexual orientation, education level, family income, any known cardiovascular conditions, and insurance. RESULTS Among 1,110 pregnant individuals (representing >1.5 million pregnant individuals each year of the survey), 3.5% reported severe psychological distress (95% CI: 2.2%-5.5%), 21.7% reported moderate psychological distress (95% CI: 18.8%-24.9%), and 74.9% reported either mild or no psychological distress (95% CI: 71.4%-78.0%). Individuals reporting moderate psychological distress (adjusted rate ratio: 1.25 [95% CI: 1.13-1.38], P < 0.001) or severe psychological distress (adjusted rate ratio: 1.42 [95% CI: 1.20-1.68], P < 0.001) had lower CVH scores compared to those with mild or no psychological distress. A stepwise relation was observed between the severity of psychological distress and CVH. CONCLUSIONS We observed a strong association between psychological distress and suboptimal CVH during pregnancy, highlighting the need to manage psychological health along with CVH in pregnant individuals.
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Affiliation(s)
- Danish Iltaf Satti
- Division of Cardiology, Johns Hopkins School of Medicine, Baltimore, Maryland, USA
| | | | | | - Reed Mszar
- Department of Chronic Disease Epidemiology, Yale School of Public Health, New Haven, Connecticut, USA
| | - Adhya Mehta
- Department of Internal Medicine, Jacobi Medical Center, Albert Einstein College of Medicine, Bronx, New York, USA
| | | | - Ryan Chang
- Baylor College of Medicine, Houston, Texas, USA
| | - Jared Spitz
- Inova Schar Heart and Vascular, Inova Fairfax Medical Campus, Falls Church, Virginia, USA
| | - Antonio Saad
- Department of Obstetrics and Gynecology, Division of Maternal Fetal Medicine, Inova Fairfax Hospital, Falls Church, Virginia, USA
| | - Allison E Gaffey
- Department of Internal Medicine (Cardiovascular Medicine), Yale School of Medicine, New Haven, Connecticut, USA; VA Connecticut Healthcare System, West Haven, Connecticut, USA
| | - Zulqarnain Javed
- Division of Cardiovascular Prevention and Wellness, Department of Cardiology, Houston Methodist DeBakey Heart & Vascular Center, Houston, Texas, USA
| | - Lily Nedda Dastmalchi
- Inova Schar Heart and Vascular, Inova Fairfax Medical Campus, Falls Church, Virginia, USA
| | - Anurag Mehta
- VCU Health Pauley Heart Center and Division of Cardiology, Department of Internal Medicine, Virginia Commonwealth University School of Medicine, Richmond, Virginia, USA
| | - Tiffany Powell-Wiley
- Social Determinants of Obesity and Cardiovascular Risk Laboratory, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland, USA; Intramural Research Program, National Institute on Minority Health and Health Disparities, National Institutes of Health, Bethesda, Maryland, USA
| | - Garima Sharma
- Inova Schar Heart and Vascular, Inova Fairfax Medical Campus, Falls Church, Virginia, USA.
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98
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Li R, Tian S, Liu J, Li R, Zhu K, Lu Q, Qiu Z, Yu H, Li L, H Franco O, Pan A, Liao Y, Liu G. Modifiable risk factors and plasma proteomics in relation to complications of type 2 diabetes. Nat Commun 2025; 16:2896. [PMID: 40140682 PMCID: PMC11947193 DOI: 10.1038/s41467-025-57830-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2024] [Accepted: 03/05/2025] [Indexed: 03/28/2025] Open
Abstract
A comprehensive assessment of combined modifiable risk factors with common complications of type 2 diabetes (T2D) is lacking, and the potential role of proteomics remains unclear. Here, we examine the associations of cardiovascular health (CVH) score and degree of risk factor control with common diabetic complications using data from the UK Biobank (n = 14,102). Furthermore, we explore the mediation effects of plasma proteomics in a subset with proteomic data (n = 1287). Over median follow-ups of 12.4-13.4 years, higher CVH score and higher degree of risk factor control are associated with lower risks of 30 and 22 of 45 adverse outcomes among individuals with T2D, respectively. Mediation analyses reveal that mortality and multiple vascular diseases share common mediators, such as uromodulin and pro-adrenomedullin. These findings highlight the importance of risk factors modification in reducing disease burden among people with T2D and facilitate the understanding of mediation effects of plasma proteins underlying these associations.
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Affiliation(s)
- Ruyi Li
- Division of Endocrinology, Department of Internal Medicine, Tongji Hospital, and School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Ministry of Education Key Laboratory of Environment and Health, and State Key Laboratory of Environment Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Shufan Tian
- Division of Endocrinology, Department of Internal Medicine, Tongji Hospital, and School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Ministry of Education Key Laboratory of Environment and Health, and State Key Laboratory of Environment Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Jun Liu
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Rui Li
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Ministry of Education Key Laboratory of Environment and Health, and State Key Laboratory of Environment Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Kai Zhu
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Ministry of Education Key Laboratory of Environment and Health, and State Key Laboratory of Environment Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Qi Lu
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Ministry of Education Key Laboratory of Environment and Health, and State Key Laboratory of Environment Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Zixin Qiu
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Ministry of Education Key Laboratory of Environment and Health, and State Key Laboratory of Environment Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Hancheng Yu
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Ministry of Education Key Laboratory of Environment and Health, and State Key Laboratory of Environment Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Lin Li
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Ministry of Education Key Laboratory of Environment and Health, and State Key Laboratory of Environment Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Oscar H Franco
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands
| | - An Pan
- Ministry of Education Key Laboratory of Environment and Health, and State Key Laboratory of Environment Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
| | - Yunfei Liao
- Department of Endocrinology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
| | - Gang Liu
- Division of Endocrinology, Department of Internal Medicine, Tongji Hospital, and School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
- Ministry of Education Key Laboratory of Environment and Health, and State Key Laboratory of Environment Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
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99
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Scott J, Agarwala A, Baker-Smith CM, Feinstein MJ, Jakubowski K, Kaar J, Parekh N, Patel KV, Stephens J. Cardiovascular Health in the Transition From Adolescence to Emerging Adulthood: A Scientific Statement From the American Heart Association. J Am Heart Assoc 2025:e039239. [PMID: 40135400 DOI: 10.1161/jaha.124.039239] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/27/2025]
Abstract
Cardiovascular disease remains a leading cause of death in the United States, with an alarming rise in the proportion of young adults experiencing cardiovascular events. Many adolescents enter adulthood with significant cardiovascular disease risk factors. This scientific statement addresses the critical need for cardiovascular health promotion during emerging adulthood, a transitional stage between the ages of 18 and 25 or 29 years of age. We discuss the significance of social determinants of health and the interplay between individual-level risk factors and developmental changes, including shifts in substance use, social connections, and emotional well-being. We conclude by outlining strategies for optimizing cardiovascular health promotion and disease prevention, underscoring the importance of primordial prevention, early intervention, and tailored approaches to address the unique needs of emerging adults. Addressing these multifaceted factors is crucial for mitigating the burden of cardiovascular disease risk factors among emerging adults and promoting long-term cardiovascular well-being.
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100
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Kutal S, Tulkki LJ, Sarkanen T, Redfors P, Jood K, Nordanstig A, Yeşilot N, Sezgin M, Ylikotila P, Zedde M, Junttola U, Fromm A, Ryliskiene K, Licenik R, Ferdinand P, Jatužis D, Kõrv L, Kõrv J, Pezzini A, Sinisalo J, Lehto M, Gerdts E, Autere J, Fonseca AC, Waje-Andreassen U, Von Sarnowski B, Sairanen T, Tatlisumak T, Huhtakangas J, Jäkälä P, Putaala J, Martinez-Majander N. Association Between Self-Perceived Stress and Cryptogenic Ischemic Stroke in Young Adults: A Case-Control Study. Neurology 2025; 104:e213369. [PMID: 40043226 PMCID: PMC11894670 DOI: 10.1212/wnl.0000000000213369] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2024] [Accepted: 01/03/2025] [Indexed: 03/14/2025] Open
Abstract
BACKGROUND AND OBJECTIVES Psychosocial stress is a potentially modifiable risk factor of early-onset ischemic stroke, with limited evidence suggesting a stronger association between stress and cryptogenic ischemic stroke (CIS) compared with strokes of known etiology. We aimed to explore the association between self-perceived stress and CIS, with subgroup analyses stratified by sex and age. METHODS Young patients aged 18-49 years with a first-ever CIS and sex-matched and age-matched stroke-free controls from 19 European centers were included. Self-perceived stress was assessed using a modified version of the Perceived Stress Scale (PSS). Scores were categorized into low (0-13), moderate (14-26), and high (27-40) perceived stress. Conditional logistic regression-adjusted for age, level of education, traditional risk factors (hypertension, cardiovascular diseases, diabetes mellitus, heavy alcohol consumption, current smoking, obesity, diet, depression, and physical inactivity), and migraine with aura (MA)-was used to assess independent association between self-perceived stress and CIS. RESULTS Altogether, 426 patients (median age 41 years; 47.7% women) and 426 controls were included. Patients were more often at least moderately stressed compared with controls (46.2% vs 33.3%, p < 0.001). In the entire study population, higher self-perceived stress as a discrete measure was independently associated with CIS: adjusted odds ratio (OR) 1.04 per point increase; 95% CI 1.01-1.07. Categorical PSS score analysis showed an independent association between moderate stress and CIS (OR 1.47; 95% CI 1.00-2.14), but not with high stress (2.62; 0.81-8.45). In sex-specific analysis, higher stress as a discrete measure was associated with CIS in women (1.06; 1.02-1.11), but not in men (1.02; 0.97-1.07). Moderate stress was associated with CIS in women (1.78; 1.07-2.96), but not in men (1.06; 0.58-1.96). When stratified by age, higher stress as a discrete measure was significantly associated with CIS only in patients aged 18-39 years (1.06; 1.00-1.11). DISCUSSION Self-perceived stress was strongly correlated with an increased risk of early-onset CIS, even after robust adjustment for cardiovascular risk factors and MA. These findings highlight the need for further investigation into the mechanisms by which stress may contribute to the risk of CIS. Possibility of recall bias should be considered when interpreting the results. TRIAL REGISTRATION INFORMATION Clinical trial registration number: NCT01934725.
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Affiliation(s)
- Shakar Kutal
- Neurology, Helsinki University Hospital, and University of Helsinki, Finland
| | - Lauri Juhani Tulkki
- Neurology, Helsinki University Hospital, and University of Helsinki, Finland
| | - Tomi Sarkanen
- Department of Neurology, Tampere University Hospital, Wellbeing Services County of Pirkanmaa, Finland and Faculty of Medicine and Health Technology, Tampere University
| | - Petra Redfors
- The Sahlgrenska Academy at University of Gothenburg and Department of Neurology, Institute of Neuroscience and Physiology, Sahlgrenska University Hospital, Sweden
| | - Katarina Jood
- The Sahlgrenska Academy at University of Gothenburg and Department of Neurology, Institute of Neuroscience and Physiology, Sahlgrenska University Hospital, Sweden
| | - Annika Nordanstig
- The Sahlgrenska Academy at University of Gothenburg and Department of Neurology, Institute of Neuroscience and Physiology, Sahlgrenska University Hospital, Sweden
| | - Nilüfer Yeşilot
- Istanbul Faculty of Medicine, Department of Neurology, Istanbul University, Turkey
| | - Mine Sezgin
- Istanbul Faculty of Medicine, Department of Neurology, Istanbul University, Turkey
| | - Pauli Ylikotila
- Department of Neurology, Neurocenter, Turku University Hospital, University of Turku, Finland
| | - Marialuisa Zedde
- Neurology Unit, Azienda Unità Sanitaria Locale-IRCCS di Reggio Emilia, Italy
| | - Ulla Junttola
- Department of Neurology, Faculty of Medicine, Neurocenter, Oulu University Hospital, Finland and Research Unit of Clinical Medicine, University of Oulu
| | - Annette Fromm
- Department of Neurology, Haukeland University Hospital, Bergen, Norway
| | | | - Radim Licenik
- North West Anglia NHS Foundation Trust Acute Stroke Centre, United Kingdom
| | - Phillip Ferdinand
- Neurosciences, University Hospitals of North Midlands NHS Trust, Stoke-on-Trent, United Kingdom
| | - Dalius Jatužis
- Centre of Neurology, Faculty of Medicine, Vilnius University, Lithuania
| | - Liisa Kõrv
- Department of Neurology and Neurosurgery, University of Tartu, Estonia
| | - Janika Kõrv
- Department of Neurology and Neurosurgery, University of Tartu, Estonia
| | - Alessandro Pezzini
- Department of Medicine and Surgery, Department of Emergency, Parma University Hospital, University of Parma and Stroke Care Program, Italy
| | - Juha Sinisalo
- Department of Cardiology, Helsinki University Hospital and University of Helsinki, Finland
| | - Mika Lehto
- Department of Internal Medicine, Jorvi Hospital, HUS Helsinki University Hospital, and University of Helsinki, Finland
| | - Eva Gerdts
- Department of Heart Disease, Haukeland University Hospital, Bergen, Norway
- Department of Clinical Science, University of Bergen, Norway
| | - Jaana Autere
- Neurocenter Neurology, Kuopio University Hospital, Finland and University of Eastern Finland
| | - Ana Catarina Fonseca
- Department of Neurosciences and Mental Health (Neurology), Hospital de Santa Maria-CHLN, Faculdade de Medicina, Universidade de Lisboa, Portugal; and
| | | | | | - Tiina Sairanen
- Neurology, Helsinki University Hospital, and University of Helsinki, Finland
| | - Turgut Tatlisumak
- The Sahlgrenska Academy at University of Gothenburg and Department of Neurology, Institute of Neuroscience and Physiology, Sahlgrenska University Hospital, Sweden
| | - Juha Huhtakangas
- Department of Neurology, Faculty of Medicine, Neurocenter, Oulu University Hospital, Finland and Research Unit of Clinical Medicine, University of Oulu
| | - Pekka Jäkälä
- Neurocenter Neurology, Kuopio University Hospital, Finland and University of Eastern Finland
| | - Jukka Putaala
- Neurology, Helsinki University Hospital, and University of Helsinki, Finland
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