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Li X, Zhu Y, Yan T, Fang J, Xu X, Xu X. Association between C-reactive protein, Life's Essential 8, and mortality in American adults: Insights from NHANES 2005-2010 data analysis. Exp Gerontol 2024; 196:112590. [PMID: 39307250 DOI: 10.1016/j.exger.2024.112590] [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: 07/16/2024] [Revised: 08/30/2024] [Accepted: 09/19/2024] [Indexed: 09/29/2024]
Abstract
OBJECTIVE To evaluate the independent, mediating, interactive, and associated effects of C-reactive protein (CRP) and Life's Essential 8 (LE8) on all-cause and cardiovascular mortality. METHODS Utilizing data from 10,043 participants in the NHANES 2005-2010, we employed Cox proportional hazards regression models and causal mediation analysis to investigate the joint and interactive effects of Life's Essential 8 (LE8) and C-reactive protein (CRP) on mortality risk. RESULTS During an average follow-up of 137.10 months, there were 1591 all-cause deaths and 485 cardiovascular deaths. Weighted linear regression showed that for patients with low cardiovascular health (CVH), the adjusted β was -0.22 (95 % CI: -0.27 to -0.17) for moderate cardiovascular health (CVH) and -0.36 (95 % CI: -0.43 to -0.30) for high cardiovascular health (CVH). Mediation analysis revealed that C-reactive protein (CRP) mediated 10.43 % of all-cause mortality and 9.20 % of cardiovascular mortality for moderate cardiovascular health (CVH) compared to low cardiovascular health (CVH), and 9.95 % and 8.32 % respectively for high cardiovascular health (CVH) compared to low cardiovascular health (CVH). No significant multiplicative or additive interactions between Life's Essential 8 (LE8) and C-reactive protein (CRP) were found in all-cause mortality or cardiovascular mortality. Individuals with high cardiovascular health (CVH) and the first quartile of C-reactive protein (CRP) had HRs of 0.30 (95 % CI 0.18-0.48) for all-cause mortality and 0.31 (95 % CI 0.13-0.74) for cardiovascular mortality compared to those with low cardiovascular health (CVH) and the fourth quartile of C-reactive protein (CRP). CONCLUSION These findings suggest that CRP could significantly influence the relationship between cardiovascular health (CVH) and mortality. Interventions that target both lifestyle factors and CRP levels may improve cardiovascular health and potentially lower mortality risks.
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Affiliation(s)
- Xin Li
- Department of Cardiovascular Diseases, The People's Hospital of Chizhou, Chizhou 247100, China
| | - Yongxin Zhu
- Department of Cardiovascular Diseases, The People's Hospital of Chizhou, Chizhou 247100, China
| | - Tingting Yan
- Department of Cardiovascular Diseases, The People's Hospital of Chizhou, Chizhou 247100, China
| | - Jie Fang
- Department of Cardiovascular Diseases, The People's Hospital of Chizhou, Chizhou 247100, China
| | - Xin Xu
- Department of Cardiovascular Diseases, The People's Hospital of Chizhou, Chizhou 247100, China
| | - Xiaodong Xu
- Department of Cardiovascular Diseases, The People's Hospital of Chizhou, Chizhou 247100, China.
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Luo D, Wang X, Li S, Guan Y, Xu C, Zhang B, Yang S, Hao X, Chen J. Improving life's essential 8 mitigates myocardial infarction risk attributed to abnormal birth weight in later life. Prev Med Rep 2024; 46:102853. [PMID: 39238782 PMCID: PMC11372598 DOI: 10.1016/j.pmedr.2024.102853] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2024] [Revised: 08/03/2024] [Accepted: 08/05/2024] [Indexed: 09/07/2024] Open
Abstract
Background To prospectively assess the individual and joint effects of birth weight and the life's essential 8 (LE8)-defined cardiovascular health (CVH) on myocardial infarction (MI) risk in later life. Methods In 144,803 baseline MI-free participants who were recruited in the UK Biobank cohort between 2006 and 2010, Cox proportional hazard models were used to estimate the associations of birth weight, LE8 score, and their interactions with incident MI. LE8 was defined on the basis of diet, physical activity, nicotine exposure, sleep health, body mass index, blood pressure, blood glucose, and blood lipids. Results Low birth weight was associated with higher risk of MI [hazard ratio (HR) 1.17, 95% confidence interval 1.02-1.35, P = 0.025], while no significant correlation between high birth weight and MI was observed after adjustment. Low CVH was associated with higher MI risk [HR 6.43 (3.71-11.15), P < 0.001). Participants with low birth weight and low CVH (vs. participants with normal birth weight and high CVH) had HR of 5.97 (2.94-12.14) for MI incidence. The relative excess risk due to interaction of low birth weight and low CVH on MI was -4.11 (-8.12, -0.11), indicating a negative interaction on an additive scale. A consistent decreasing trend of MI risk along with increased LE8 score was observed across all three birth weight groups. Conclusion Low birth weight was associated with increased MI risk, emphasizing the importance of the prenatal factor in risk prediction and prevention of MI. Improving LE8 can mitigate MI risk attributed to low birth weight.
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Affiliation(s)
- Da Luo
- Department of Cardiology, Renmin Hospital of Wuhan University, Wuhan, China
- Cardiovascular Research Institute of Wuhan University, Wuhan, China
- Hubei Key Laboratory of Cardiology, Wuhan, China
| | - Xiaoying Wang
- Department of Cardiology, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Si Li
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yunlong Guan
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Changwu Xu
- Department of Cardiology, Renmin Hospital of Wuhan University, Wuhan, China
- Cardiovascular Research Institute of Wuhan University, Wuhan, China
- Hubei Key Laboratory of Cardiology, Wuhan, China
| | - Bofang Zhang
- Department of Cardiology, Renmin Hospital of Wuhan University, Wuhan, China
- Cardiovascular Research Institute of Wuhan University, Wuhan, China
- Hubei Key Laboratory of Cardiology, Wuhan, China
| | - Shuo Yang
- Department of Cardiology, Renmin Hospital of Wuhan University, Wuhan, China
- Cardiovascular Research Institute of Wuhan University, Wuhan, China
- Hubei Key Laboratory of Cardiology, Wuhan, China
| | - Xingjie Hao
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Jing Chen
- Department of Cardiology, Renmin Hospital of Wuhan University, Wuhan, China
- Cardiovascular Research Institute of Wuhan University, Wuhan, China
- Hubei Key Laboratory of Cardiology, Wuhan, China
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Guo H, Wang S, Peng H, Wang W, Hou T, Li Y, Zhang H, Jiang J, Ma B, Qin Y, Wang M, Li L, Huang J, Wu T. Life's essential 8 and cardiovascular diseases progression among adults in the United Kingdom. Metabolism 2024:156031. [PMID: 39265807 DOI: 10.1016/j.metabol.2024.156031] [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: 03/07/2024] [Revised: 09/07/2024] [Accepted: 09/09/2024] [Indexed: 09/14/2024]
Abstract
BACKGROUND Recently, the American Heart Association introduced Life's Essential 8 (LE8) as a new cardiovascular health (CVH) metric, and studies have reported associations between LE8 and CVH outcomes. However, there is limited understanding of LE8's impact on the risk of transitions between different stages of CVH. The current study investigated whether adhering to LE8 during a healthy stage could mitigate the progression from hypertension (HT) to cardiovascular diseases (CVDs), and consequent death. METHODS The study included 107,682 participants in the UK Biobank who were initially free of HT and CVDs. CVH were evaluated using LE8 metrics (diet, physical activity, nicotine exposure, sleep duration, body mass index, non-high-density lipoprotein cholesterol, blood glucose, and blood pressure). Multistate models were used to analyse the impacts of LE8 on the progression of CVDs. RESULTS During a median follow-up of 12.2 years, 5727 participants developed HT, 7243 developed CVDs, and 1183 died afterwards. LE8 was negatively associated with the dynamic disease progression. A per-10 points increase of CVH scores was significantly associated with the reduced risk [Hazard ratios (95 % confidence intervals)] at 0.71 (0.69, 0.72), 0.83 (0.81, 0.85), 0.79 (0.77, 0.82), and 0.91 (0.86, 0.96) in the transition from healthy to HT, CVDs, death, and from CVDs to death, respectively. Mediation analyses indicated that HT significantly mediated LE8-reduced risks of CVDs and mortality. CONCLUSIONS This study offered evidence that LE8 may influence the stages of CVD progression. The findings underscore the significance of adhering to LE8 in health management and CVDs management.
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Affiliation(s)
- Huangda Guo
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - Siyue Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - Hexiang Peng
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - Weiwei Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China; National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing 100088, China
| | - Tianjiao Hou
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - Yixin Li
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - Hanyu Zhang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - Jin Jiang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - Bohao Ma
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
| | - Yilei Qin
- Department of Animal Science, University of California, Davis, California, USA
| | - Mengying Wang
- Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing, China; Department of Nutrition and Food Hygiene, School of Public Health, Peking University, Beijing, China
| | - Liming Li
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China; Center for Public Health and Epidemic Preparedness & Response, Peking University, Beijing 100191, China; Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing, China
| | - Jie Huang
- School of Public Health and Emergency Management, Southern University of Science and Technology, Shenzhen 518055, China.
| | - Tao Wu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China; Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing, China.
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Liu X, Huang Y, Lin C, Chen X, Huang Y, Wang X, Li Y, Wang Y. Life's Essential 8 and Mortality in US Adults With Obesity: A Cohort Study. Endocr Pract 2024:S1530-891X(24)00664-5. [PMID: 39241965 DOI: 10.1016/j.eprac.2024.08.015] [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: 07/27/2024] [Revised: 08/27/2024] [Accepted: 08/28/2024] [Indexed: 09/09/2024]
Abstract
OBJECTIVE This study evaluates the relationship between the Life's Essential 8 (LE8) scoring system and all-cause and cause-specific mortality among obese individuals using National Health and Nutrition Examination Survey data. METHODS Data from 9143 obese participants (BMI ≥30 kg/m2) collected between 2005 and 2018 were analyzed. Participants were categorized based on their LE8 scores: low cardiovascular health (Low CVH, n = 2264), moderate cardiovascular health (Moderate CVH, n = 6541), and high cardiovascular health (High CVH, n = 338). Associations between LE8 scores and mortality were assessed using Kaplan-Meier survival analysis and Cox proportional hazards models. RESULTS Over a median follow-up of 7.3 years, there were 867 all-cause deaths (9.5%), including 246 cardiovascular disease (CVD) deaths (2.7%) and 621 non-CVD deaths (6.8%). In multivariable Cox regression analysis, compared to the Low CVH group, the Moderate CVH group had an adjusted hazard ratio (HR) for all-cause mortality of 0.63 (95% CI: 0.55-0.72), and the High CVH group had an HR of 0.25 (95% CI: 0.10-0.60). For CVD mortality, the HRs were 0.61 (95% CI: 0.47-0.78) for Moderate CVH and 0.19 (95% CI: 0.03-1.38) for High CVH. For non-CVD mortality, the HRs were 0.64 (95% CI: 0.54-0.75) for Moderate CVH and 0.27 (95% CI: 0.10-0.72) for High CVH. Each 10-point increase in LE8 score was associated with a 20% reduction in all-cause mortality (P < .001), 21% reduction in CVD mortality (P < .001), and 20% reduction in non-CVD mortality (P < .001). CONCLUSION Higher LE8 scores are significantly associated with lower rates of all-cause, CVD, and non-CVD mortality among obese individuals. These findings support the LE8 scoring system as an effective predictor of health status and mortality risk.
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Affiliation(s)
- Xiaoqiang Liu
- Department of Gastroenterology, First Hospital of Quanzhou Affiliated to Fujian Medical University, Quanzhou, Fujian Province, China
| | - Yingxuan Huang
- Department of Gastroenterology, First Hospital of Quanzhou Affiliated to Fujian Medical University, Quanzhou, Fujian Province, China
| | - Chanchan Lin
- Department of Gastroenterology, First Hospital of Quanzhou Affiliated to Fujian Medical University, Quanzhou, Fujian Province, China
| | - Xinqi Chen
- Department of Gastroenterology, First Hospital of Quanzhou Affiliated to Fujian Medical University, Quanzhou, Fujian Province, China
| | - Yisen Huang
- Department of Gastroenterology, First Hospital of Quanzhou Affiliated to Fujian Medical University, Quanzhou, Fujian Province, China
| | - Xinda Wang
- Department of Radiology, First Hospital of Quanzhou Affiliated to Fujian Medical University, Quanzhou, Fujian Province, China
| | - Yingyi Li
- Department of Gastroenterology, First Hospital of Quanzhou Affiliated to Fujian Medical University, Quanzhou, Fujian Province, China.
| | - Yubin Wang
- Department of Gastroenterology, First Hospital of Quanzhou Affiliated to Fujian Medical University, Quanzhou, Fujian Province, China.
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Huang L, Li Y, Xu X, Chen W, Zhang Z, Sun L, Gao X. Longitudinal association between accelerometer-derived rest-activity rhythm and atherosclerotic cardiovascular disease. Sleep Med 2024; 121:8-14. [PMID: 38901303 DOI: 10.1016/j.sleep.2024.06.004] [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: 04/09/2024] [Revised: 06/04/2024] [Accepted: 06/06/2024] [Indexed: 06/22/2024]
Abstract
OBJECTIVE Rest-activity rhythm is an essential behavior for human health. However, the association between rest-activity rhythm and atherosclerotic cardiovascular disease (ASCVD) risk remains unclear. Therefore, this study aimed to elucidate the association. METHODS This study included 87,039 participants from the UK Biobank who had 7-day accelerometry data and were free of ASCVD at baseline. Relative amplitude was calculated as the difference between the most active continuous 10-h period (M10) and the least active continuous 5-h period (L5) in 24 h, and lower relative amplitude indicated the disruption of rest-activity rhythm. Cox proportional hazard model was used to examine the association of relative amplitude with ASCVD. Further, the linear association between relative amplitude and arterial stiffness measurements, including arterial stiffness index (ASI) and carotid intima-media thickness (cIMT), was examined. RESULTS During a mean follow-up period of 6.80 ± 1.10 years, 2798 ASCVD cases were identified. A dose-response relationship was observed between relative amplitude and ASCVD risk (P for trend<0.001). The adjusted hazard ratio, for the highest vs the lowest quintile of relative amplitude, was 1.54 (95 % confidence interval: 1.31, 1.79). Further, we found significant association of lower relative amplitude with ASI and cIMT. The onset timing of M10 at ≤06:00, 09:00, 10:00, or ≥11:00, as opposed to the reference time of 07:00, was associated with higher ASCVD risk. CONCLUSIONS Low rest-activity rhythm amplitude was associated with a higher risk of ASCVD. Rest-activity rhythm amplitude may provide a method to identify individuals at risk of ASCVD in public health and clinical practice.
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Affiliation(s)
- Lili Huang
- Department of Nutrition and Food Hygiene, School of Public Health, Institute of Nutrition, Fudan University, Shanghai, China
| | - Yaqi Li
- Department of Nutrition and Food Hygiene, School of Public Health, Institute of Nutrition, Fudan University, Shanghai, China
| | - Xinming Xu
- Department of Nutrition and Food Hygiene, School of Public Health, Institute of Nutrition, Fudan University, Shanghai, China
| | - Wei Chen
- Department of Cardiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Zhicheng Zhang
- Department of Nutrition and Food Hygiene, School of Public Health, Institute of Nutrition, Fudan University, Shanghai, China
| | - Liang Sun
- Department of Nutrition and Food Hygiene, School of Public Health, Institute of Nutrition, Fudan University, Shanghai, China.
| | - Xiang Gao
- Department of Nutrition and Food Hygiene, School of Public Health, Institute of Nutrition, Fudan University, Shanghai, China.
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Peng Y, Wang P, Du H, Liu F, Wang X, Si C, Gong J, Zhou H, Chen K, Song F. Cardiovascular health, polygenic risk score, and cancer risk: a prospective cohort study. Am J Clin Nutr 2024:S0002-9165(24)00658-0. [PMID: 39134210 DOI: 10.1016/j.ajcnut.2024.07.033] [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: 12/04/2023] [Revised: 05/18/2024] [Accepted: 07/30/2024] [Indexed: 09/02/2024] Open
Abstract
BACKGROUND Cancer and cardiovascular disease share common lifestyle risk factors. However, it remains unclear whether cardiovascular health (CVH) evaluated by Life's Essential 8 can predict cancer risk, and attenuate the influence of genetic susceptibility on cancer. OBJECTIVES We aimed to evaluate independent and joint associations of CVH and polygenic risk score (PRS) with risks of overall and site-specific cancers. METHODS We undertook a population-based cohort study based on the UK Biobank. The CVH score was constructed by physical activity, body mass index, nicotine exposure, sleep, diet, blood pressure, lipid profile, and blood glucose. PRSs were assessed individually for 18 cancer types by their independent single-nucleotide polymorphisms previously identified in genome-wide association studies. Multivariable Cox proportional-hazards models were applied to explore the independent and joint associations of CVH and PRS with cancer incidence risk. The results were displayed as hazard ratio (HR) and 95% confidence interval (CI). RESULTS Compared with low CVH, high CVH was associated with decreased risks of overall cancer and the majority of common cancers, including digestive system [HRs (95% CI): 0.33 (0.23, 0.45)-0.66 (0.58, 0.75)], lung (HR: 0.25; 95% CI: 0.21, 0.31), renal (HR: 0.42; 95% CI: 0.32, 0.56), bladder (HR: 0.55; 95% CI: 0.44, 0.69), breast (HR: 0.83; 95% CI: 0.74, 0.92), and endometrial cancers (HR: 0.39; 95% CI: 0.30, 0.51). For overall cancer in males, there was an interaction between CVH and PRS. Notably, individuals with high CVH across all levels of PRS had lower risks of overall cancer for females and 8 site-specific cancers than those with low CVH and high PRS [HRs (95% CIs): 0.18 (0.12, 0.25)-0.79 (0.71, 0.87)]. CONCLUSIONS High CVH was related to decreased risks of overall cancer and multiple cancers regardless of genetic predispositions. Our findings underscored the value of improving CVH for cancer prevention in the general population.
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Affiliation(s)
- Yu Peng
- Department of Epidemiology and Biostatistics, Key Laboratory of Molecular Cancer Epidemiology, Key Laboratory of Prevention and Control of Major Diseases in the Population, Ministry of Education, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University, Tianjin, China
| | - Peng Wang
- Department of Epidemiology and Biostatistics, Key Laboratory of Molecular Cancer Epidemiology, Key Laboratory of Prevention and Control of Major Diseases in the Population, Ministry of Education, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University, Tianjin, China
| | - Han Du
- Department of Epidemiology and Biostatistics, Key Laboratory of Molecular Cancer Epidemiology, Key Laboratory of Prevention and Control of Major Diseases in the Population, Ministry of Education, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University, Tianjin, China
| | - Fubin Liu
- Department of Epidemiology and Biostatistics, Key Laboratory of Molecular Cancer Epidemiology, Key Laboratory of Prevention and Control of Major Diseases in the Population, Ministry of Education, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University, Tianjin, China
| | - Xixuan Wang
- Department of Epidemiology and Biostatistics, Key Laboratory of Molecular Cancer Epidemiology, Key Laboratory of Prevention and Control of Major Diseases in the Population, Ministry of Education, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University, Tianjin, China
| | - Changyu Si
- Department of Epidemiology and Biostatistics, Key Laboratory of Molecular Cancer Epidemiology, Key Laboratory of Prevention and Control of Major Diseases in the Population, Ministry of Education, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University, Tianjin, China
| | - Jianxiao Gong
- Department of Epidemiology and Biostatistics, Key Laboratory of Molecular Cancer Epidemiology, Key Laboratory of Prevention and Control of Major Diseases in the Population, Ministry of Education, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University, Tianjin, China
| | - Huijun Zhou
- Department of Epidemiology and Biostatistics, Key Laboratory of Molecular Cancer Epidemiology, Key Laboratory of Prevention and Control of Major Diseases in the Population, Ministry of Education, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University, Tianjin, China
| | - Kexin Chen
- Department of Epidemiology and Biostatistics, Key Laboratory of Molecular Cancer Epidemiology, Key Laboratory of Prevention and Control of Major Diseases in the Population, Ministry of Education, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University, Tianjin, China.
| | - Fangfang Song
- Department of Epidemiology and Biostatistics, Key Laboratory of Molecular Cancer Epidemiology, Key Laboratory of Prevention and Control of Major Diseases in the Population, Ministry of Education, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University, Tianjin, China.
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Li C, Meng X, Zhang J, Wang H, Lu H, Cao M, Sun S, Wang Y. Associations of metabolic changes and polygenic risk scores with cardiovascular outcomes and all-cause mortality across BMI categories: a prospective cohort study. Cardiovasc Diabetol 2024; 23:231. [PMID: 38965592 PMCID: PMC11225301 DOI: 10.1186/s12933-024-02332-w] [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: 04/11/2024] [Accepted: 06/22/2024] [Indexed: 07/06/2024] Open
Abstract
BACKGROUND Associations between metabolic status and metabolic changes with the risk of cardiovascular outcomes have been reported. However, the role of genetic susceptibility underlying these associations remains unexplored. We aimed to examine how metabolic status, metabolic transitions, and genetic susceptibility collectively impact cardiovascular outcomes and all-cause mortality across diverse body mass index (BMI) categories. METHODS In our analysis of the UK Biobank, we included a total of 481,576 participants (mean age: 56.55; male: 45.9%) at baseline. Metabolically healthy (MH) status was defined by the presence of < 3 abnormal components (waist circumstance, blood pressure, blood glucose, triglycerides, and high-density lipoprotein cholesterol). Normal weight, overweight, and obesity were defined as 18.5 ≤ BMI < 25 kg/m2, 25 ≤ BMI < 30 kg/m2, and BMI ≥ 30 kg/m2, respectively. Genetic predisposition was estimated using the polygenic risk score (PRS). Cox regressions were performed to evaluate the associations of metabolic status, metabolic transitions, and PRS with cardiovascular outcomes and all-cause mortality across BMI categories. RESULTS During a median follow-up of 14.38 years, 31,883 (7.3%) all-cause deaths, 8133 (1.8%) cardiovascular disease (CVD) deaths, and 67,260 (14.8%) CVD cases were documented. Among those with a high PRS, individuals classified as metabolically healthy overweight had the lowest risk of all-cause mortality (hazard ratios [HR] 0.70; 95% confidence interval [CI] 0.65, 0.76) and CVD mortality (HR 0.57; 95% CI 0.50, 0.64) compared to those who were metabolically unhealthy obesity, with the beneficial associations appearing to be greater in the moderate and low PRS groups. Individuals who were metabolically healthy normal weight had the lowest risk of CVD morbidity (HR 0.54; 95% CI 0.51, 0.57). Furthermore, the inverse associations of metabolic status and PRS with cardiovascular outcomes and all-cause mortality across BMI categories were more pronounced among individuals younger than 65 years (Pinteraction < 0.05). Additionally, the combined protective effects of metabolic transitions and PRS on these outcomes among BMI categories were observed. CONCLUSIONS MH status and a low PRS are associated with a lower risk of adverse cardiovascular outcomes and all-cause mortality across all BMI categories. This protective effect is particularly pronounced in individuals younger than 65 years. Further research is required to confirm these findings in diverse populations and to investigate the underlying mechanisms involved.
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Affiliation(s)
- Cancan Li
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, No.10 Xitoutiao, Youanmen Street, Fengtai District, Beijing, 100069, China
- Beijing Municipal Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, No.10 Xitoutiao, Youanmen Street, Fengtai District, 100069, Beijing, China
| | - Xiaoni Meng
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, No.10 Xitoutiao, Youanmen Street, Fengtai District, Beijing, 100069, China
- Beijing Municipal Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, No.10 Xitoutiao, Youanmen Street, Fengtai District, 100069, Beijing, China
| | - Jie Zhang
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, No.10 Xitoutiao, Youanmen Street, Fengtai District, Beijing, 100069, China
- Beijing Municipal Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, No.10 Xitoutiao, Youanmen Street, Fengtai District, 100069, Beijing, China
| | - Haotian Wang
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, No.10 Xitoutiao, Youanmen Street, Fengtai District, Beijing, 100069, China
- Beijing Municipal Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, No.10 Xitoutiao, Youanmen Street, Fengtai District, 100069, Beijing, China
| | - Huimin Lu
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, No.10 Xitoutiao, Youanmen Street, Fengtai District, Beijing, 100069, China
- Beijing Municipal Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, No.10 Xitoutiao, Youanmen Street, Fengtai District, 100069, Beijing, China
| | - Meiling Cao
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, No.10 Xitoutiao, Youanmen Street, Fengtai District, Beijing, 100069, China
- Beijing Municipal Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, No.10 Xitoutiao, Youanmen Street, Fengtai District, 100069, Beijing, China
| | - Shengzhi Sun
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, No.10 Xitoutiao, Youanmen Street, Fengtai District, Beijing, 100069, China.
- Beijing Municipal Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, No.10 Xitoutiao, Youanmen Street, Fengtai District, 100069, Beijing, China.
| | - Youxin Wang
- Beijing Municipal Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, No.10 Xitoutiao, Youanmen Street, Fengtai District, 100069, Beijing, China.
- School of Public Health, North China University of Science and Technology, 21 Bohaidadao, Caofeidian, Tangshan, 063210, China.
- Centre for Precision Medicine, Edith Cowan University, Perth, 6027, Australia.
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8
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Ning N, Fan X, Zhang Y, Wang Y, Liu Y, Li Y, Zhao H, Jin L, Ma Y. Joint association of cardiovascular health and frailty with all-cause and cause-specific mortality: a prospective study. Age Ageing 2024; 53:afae156. [PMID: 39041735 DOI: 10.1093/ageing/afae156] [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: 01/28/2024] [Indexed: 07/24/2024] Open
Abstract
BACKGROUND Poor cardiovascular health (CVH) and physical frailty were reported to increase mortality risk, but their joint effects have not been fully elucidated. OBJECTIVES We aimed to explore the separate and joint effects of CVH and frailty on mortality based on two perspectives of Life's Essential 8 (LE8) and Framingham Risk Score (FRS). METHODS 21 062 participants in the National Health and Nutrition Examination Survey (NHANES) from 2007 to 2018 were involved in this study. CVH was evaluated by the LE8 and FRS, and categorized into low, moderate and high CVH groups. Cox proportional hazard models were applied to estimate the separate and joint associations of CVH and frailty index (FI) with all-cause, cardiovascular disease (CVD) and cancer mortality. RESULTS Over a median follow-up period of 87 months (95% CI: 86.0-88.0), 2036 deaths occurred. The separate linear dose-response relationships between CVH, frailty and mortality were observed (nonlinear P > .05). The combination of low CVH/frailty was negatively associated with all-cause mortality [hazard ratio (HR) and 95%CI: low LE8*FI, 5.30 (3.74, 7.52); high FRS*FI, 4.34 (3.20, 5.88)], CVD mortality [low LE8*FI, 6.57 (3.54, 12.22); high FRS*FI, 7.29 (3.92, 13.55)] and cancer mortality [low LE8*FI, 1.99 (1.14, 3.25); high FRS*FI, 2.32 (1.30, 4.15)], with high CVH/fit group as reference. Further stratified analyses showed that the combined burden of mortality from frailty and low CVH was greater among the young and females. CONCLUSIONS Low CVH and frailty were independently and jointly correlated with greater risk of all-cause, CVD and cancer deaths, especially among the young and females.
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Affiliation(s)
- Ning Ning
- Key Laboratory of Environmental Stress and Chronic Disease Control & Prevention, Ministry of Education, China Medical University; Department of Biostatistics and Epidemiology, School of Public Health, China Medical University, Shenyang 110122 Liaoning, China
| | - Xiaoting Fan
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, Jilin, China
| | - Yuan Zhang
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, Jilin, China
| | - Yingxin Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, Jilin, China
| | - Yang Liu
- Key Laboratory of Environmental Stress and Chronic Disease Control & Prevention, Ministry of Education, China Medical University; Department of Biostatistics and Epidemiology, School of Public Health, China Medical University, Shenyang 110122 Liaoning, China
| | - Yumeng Li
- Key Laboratory of Environmental Stress and Chronic Disease Control & Prevention, Ministry of Education, China Medical University; Department of Biostatistics and Epidemiology, School of Public Health, China Medical University, Shenyang 110122 Liaoning, China
| | - Hua Zhao
- Key Laboratory of Environmental Stress and Chronic Disease Control & Prevention, Ministry of Education, China Medical University; Department of Biostatistics and Epidemiology, School of Public Health, China Medical University, Shenyang 110122 Liaoning, China
| | - Lina Jin
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, Jilin, China
| | - Yanan Ma
- Key Laboratory of Environmental Stress and Chronic Disease Control & Prevention, Ministry of Education, China Medical University; Department of Biostatistics and Epidemiology, School of Public Health, China Medical University, Shenyang 110122 Liaoning, China
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Yang H, Chang Q, Ji C, Zheng G, Ma Z, Chen L, Xia Y, Zhao Y. Life's essential 8, genetic susceptibility, and risk of inflammatory bowel diseases: a population-based cohort study. Int J Behav Nutr Phys Act 2024; 21:66. [PMID: 38956566 PMCID: PMC11221134 DOI: 10.1186/s12966-024-01617-3] [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: 02/29/2024] [Accepted: 06/16/2024] [Indexed: 07/04/2024] Open
Abstract
BACKGROUND Evidence has shown that the individual metrics in Life's Essential 8 (LE8), an updated cardiovascular health (CVH) concept proposed by the American Heart Association, play a role in the development of inflammatory bowel disease (IBD). However, epidemiological evidence on the overall LE8 on IBD risk remains limited. We aimed to assess the longitudinal associations of LE8-defined CVH and the risks of IBD and its subtypes, ulcerative colitis (UC) and Crohn's disease (CD). We also tested whether genetic susceptibility could modify these associations. METHODS A total of 260,836 participants from the UK Biobank were included. LE8 scores were determined by 8 metrics (physical activity, diet, nicotine exposure, sleep, body mass index, blood pressure, blood glucose, and blood lipids), and were divided into three levels: low CVH (0-49), moderate CVH (50-79), and high CVH (80-100). Cox proportional hazards models were used to calculate the hazard ratios (HRs) and confidence intervals (CIs) of the risk of IBD in relation to CVH status. RESULTS Over a median follow-up 12.3 years, we documented 1,500 IBD cases (including 1,070 UC and 502 CD). Compared to participants with low CVH, the HRs (95% CIs) of those with high CVH for IBD, UC, and CD were 0.67 (0.52, 0.83), 0.70 (0.52, 0.93), and 0.55 (0.38, 0.80), respectively. These associations were not modified by genetic susceptibility (all P for interactions > 0.05). The lowest HR (UC: 0.30, 95% CI: 0.20-0.45; CD: 0.33, 95% CI: 0.20-0.57) was observed in participants with both high CVH and low genetic risk. CONCLUSIONS Better CVH, defined by LE8, was associated with significantly lower risks of IBD, UC, and CD, irrespective of genetic predisposition. Our results underscore the importance of adherence to LE8 guidelines for maintaining CVH as a potential strategy in the prevention of IBD.
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Affiliation(s)
- Honghao Yang
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, No. 36, San Hao Street, Shenyang, Liaoning, 110004, China
- Liaoning Key Laboratory of Precision Medical Research on Major Chronic Disease, Shenyang, Liaoning Province, China
- Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China
| | - Qing Chang
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, No. 36, San Hao Street, Shenyang, Liaoning, 110004, China
- Liaoning Key Laboratory of Precision Medical Research on Major Chronic Disease, Shenyang, Liaoning Province, China
- Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China
| | - Chao Ji
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, No. 36, San Hao Street, Shenyang, Liaoning, 110004, China
- Liaoning Key Laboratory of Precision Medical Research on Major Chronic Disease, Shenyang, Liaoning Province, China
- Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China
| | - Gang Zheng
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, No. 36, San Hao Street, Shenyang, Liaoning, 110004, China
- Liaoning Key Laboratory of Precision Medical Research on Major Chronic Disease, Shenyang, Liaoning Province, China
- Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China
| | - Zheng Ma
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, No. 36, San Hao Street, Shenyang, Liaoning, 110004, China
- Liaoning Key Laboratory of Precision Medical Research on Major Chronic Disease, Shenyang, Liaoning Province, China
- Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China
| | - Liangkai Chen
- 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
| | - Yang Xia
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, No. 36, San Hao Street, Shenyang, Liaoning, 110004, China.
- Liaoning Key Laboratory of Precision Medical Research on Major Chronic Disease, Shenyang, Liaoning Province, China.
- Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China.
| | - Yuhong Zhao
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, No. 36, San Hao Street, Shenyang, Liaoning, 110004, China.
- Liaoning Key Laboratory of Precision Medical Research on Major Chronic Disease, Shenyang, Liaoning Province, China.
- Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China.
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He L, Zhang M, Zhao Y, Li W, Zhang Y. Association between new Life's Essential 8 and the risk of all-cause and cardiovascular mortality in patients with hypertension: a cohort study. BMC Public Health 2024; 24:1730. [PMID: 38943146 PMCID: PMC11212374 DOI: 10.1186/s12889-024-19189-z] [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: 01/18/2024] [Accepted: 06/18/2024] [Indexed: 07/01/2024] Open
Abstract
BACKGROUND The American Heart Association recently introduced a new model for cardiovascular health (CVH) known as Life's Essential 8 (LE8). The impact of LE8 on hypertensive individuals is currently unclear. In our study, we investigated the correlation between comprehensive and individual CVH indicators as defined by LE8, and the mortality rates in hypertension patients. METHODS We analyzed a total of 8,448 hypertensive individuals aged ≥ 20 years who participated in the National Health and Nutrition Examination Survey from 2007 to 2016. These participants were nonpregnant and noninstitutionalized. We identified their mortality by linking their data to the National Death Index until December 31, 2019. The overall cardiovascular health (CVH) was assessed using the LE8 score, which ranged from 0 to 100. Additionally, we evaluated the scores for each component of diet, physical activity, tobacco/nicotine exposure, sleep duration, body mass index, non-high-density lipoprotein cholesterol, blood glucose, and blood pressure. The CVH were categorized into low (0-49), moderate (50-79), and high (80-100) CVH. RESULTS Over an average follow-up period of 7.41 years, 1,482 (17.54%) of the participants died, among which 472 deaths were attributed to CVD. When compared to adults with lower total CVH scores, those with elevated total CVH scores displayed a 37% reduced risk of mortality from all causes (adjusted hazard ratio [aHR] = 0.63, 95% confidence interval [CI] = 0.45-0.88). In relation to CVD-specific mortality, the corresponding aHRs for moderate and high total CVH scores were 0.76 (0.60-0.97) and 0.54 (0.31-0.94), respectively. Furthermore, after adjusting for potential confounders, it was observed that higher scores on the LE8 index were associated with a reduced risk of both all-cause mortality (aHR for every 10-score increase, 0.91; 95% CI = 0.86-0.96) and CVD-specific mortality (aHR for every 10-score increase, 0.82; 95% CI = 0.75-0.90). Notably, a linear dose-response relationship was observed in this association. Similar patterns were identified in the relationship between health behavior and both all-cause and CVD-specific mortality. CONCLUSIONS Achieving a higher CVH score, as per the new LE8 guidelines, has been found to be associated with a reduced risk of mortality from all causes and specifically from CVD in patients with hypertension. Therefore, public health and healthcare initiatives that focus on promoting higher CVH scores could potentially yield significant benefits in terms of reducing mortality rates among individuals with hypertension.
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Affiliation(s)
- Lu He
- Department of Structural Heart Disease, The First Affiliated Hospital of Xi'an Jiaotong University, No.277, Yanta West Road, Xi'an, Shaanxi, 710061, PR China
| | - Miao Zhang
- Department of Structural Heart Disease, The First Affiliated Hospital of Xi'an Jiaotong University, No.277, Yanta West Road, Xi'an, Shaanxi, 710061, PR China
| | - Yang Zhao
- Department of Cardiovascular Medicine, Weinan Central Hospital, Weinan, 714000, China
| | - Wei Li
- Department of Cardiovascular Medicine, 521 Hospital of Norinco Group, Xi'an, 710061, China
| | - Yushun Zhang
- Department of Structural Heart Disease, The First Affiliated Hospital of Xi'an Jiaotong University, No.277, Yanta West Road, Xi'an, Shaanxi, 710061, PR China.
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11
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Yan B, Jin Y, Mao S, Yin Y. Association of Life's essential 8 score with the risk of all-cause mortality and cardio-cerebrovascular mortality in patients with stroke. BMC Cardiovasc Disord 2024; 24:320. [PMID: 38918724 PMCID: PMC11197366 DOI: 10.1186/s12872-024-03947-3] [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: 04/02/2024] [Accepted: 05/16/2024] [Indexed: 06/27/2024] Open
Abstract
BACKGROUND A higher Life's Essential 8 (LE8)-based cardiovascular health (CVH) has been reported to be associated with a lower risk of both all-cause mortality and cardio-cerebrovascular diseases (CCVDs) related mortality in adults in the United States. At the same time, multiple studies have shown a significant negative association of CVH with the risk of stroke and CCVDs. Since no research has investigated the applicability of the LE8 in stroke patients, this study aimed to explore the association of LE8 with all-cause mortality and cardio-cerebrovascular mortality in stroke patients. METHODS Data of patients were extracted from the National Health and Nutrition Examination Surveys (NHANES) database in 2007-2018 in this retrospective cohort study. Weighted univariate and multivariate COX regression analyses were utilized to investigate the associations of LE8 with all-cause mortality and cardio-cerebrovascular mortality. We further explored these relationships in subgroups of age, gender, body mass index (BMI), cancer, congestive heart failure (CHF), and coronary heart disease (CHD). The evaluation indexes were hazard ratios (HRs) and 95% confidence intervals (CIs). RESULTS Among the eligible patients, 278 died from all-cause and 89 (8.38%) of them died due to CCVDs. After adjusting for covariates, patients with LE8 score ≥ 58.75 seemed to have both lower risk of all-cause mortality (HR = 0.46, 95%CI: 0.31-0.69) and cardio-cerebrovascular mortality (HR = 0.51, 95%CI: 0.26-0.98), comparing to those with LE8 score < 48.123. Higher LE8 scores were associated with lower risk of all-cause mortality in patients aged < 65 years old, without cancer, and whatever the gender, BMI, CHF or CHD conditions (all P < 0.05). The relationships between high LE8 scores and low cardio-cerebrovascular mortality risk were only found in age < 65 years old and non-cancer subgroups (all P < 0.05). CONCLUSION A higher LE8 score was associated with lower risk of both all-cause mortality and cardio-cerebrovascular mortality in patients with stroke, which may provide some reference for risk management and prognosis improvement in stoke. However, more evidences are needed to verify this beneficial role of high LE8 score in stroke prognosis.
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Affiliation(s)
- Bin Yan
- Department of Geriatric Neurology, Jinling Hospital, Medical School of Nanjing University, Nanjing, 210002, Jiangsu Province, People's Republic of China
| | - Yan Jin
- Department of Pharmacy, Jinling Hospital, Medical School of Nanjing University, Nanjing, 210002, Jiangsu Province, People's Republic of China
| | - Song Mao
- Department of Pediatrics, Jinling Hospital, Medical School of Nanjing University, Nanjing, 210002, Jiangsu Province, People's Republic of China
| | - Yugang Yin
- Department of Geriatric Cardiology, Jinling Hospital, Medical School of Nanjing University, No.305 Zhongshan East Road, Xuanwu District, Nanjing, 210002, Jiangsu Province, People's Republic of China.
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Yu Z, Yan X, Bai X, Ruan G, Han W, Shu H, Yang H. Association Between Cardiovascular Health and Cirrhosis and Mortality: Insights From a Comprehensive Cross-sectional Study. J Clin Gastroenterol 2024:00004836-990000000-00306. [PMID: 38896423 DOI: 10.1097/mcg.0000000000002033] [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: 02/23/2024] [Accepted: 05/16/2024] [Indexed: 06/21/2024]
Abstract
GOAL We aim to explore the relationship between the newly introduced CVH indicator "Life's Essential 8 (LE8)" and cirrhosis. BACKGROUND The global burden of cirrhosis is increasing, with a rising number of deaths, leading to significant societal and economic challenges. Cardiovascular health (CVH) has been found to have potential associations with liver diseases. MATERIALS AND METHODS All participants aged 20 and older from National Health and Nutrition Examination Survey 2005 to 2018 were included. CVH was accessed by LE8, consisting of 4 health behaviors (diet, physical activity, nicotine exposure, and sleep health) and 4 health factors (body mass index, lipid levels, blood sugar, and blood pressure). Cirrhosis was determined based on abnormal liver function test results, with an aspartate aminotransferase to platelet ratio index >2. Participants' mortality status was obtained by matching with the National Death Index and all-cause mortality served as the follow-up endpoint. RESULTS This extensive cross-sectional study reveals that LE8 was not associated with cirrhosis. A higher health behaviors score was associated with lower cirrhosis. Moreover, there is an inverse U-shaped relationship between the LE8 score and all-cause mortality in participants with cirrhosis, signifying a decrease in all-cause mortality when LE8 surpasses 60. A greater health behaviors score is linked to a decreased proportion of all-cause mortality in cirrhosis patients. CONCLUSION Maintaining better health behaviors may be beneficial for cirrhosis, especially through a balanced diet, regular exercise, smoking cessation, and quality sleep.
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Affiliation(s)
| | | | | | | | - Wei Han
- Epidemiology and Biostatistics, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
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Meng Y, Tan Z, Sawut A, Li L, Chen C. Association between Life's Essential 8 and cataract among US adults. Sci Rep 2024; 14:13101. [PMID: 38849465 PMCID: PMC11161494 DOI: 10.1038/s41598-024-63973-1] [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: 10/23/2023] [Accepted: 06/04/2024] [Indexed: 06/09/2024] Open
Abstract
Currently, a comprehensive assessment of the relationship between ideal cardiovascular health (CVH) indicators and cataract risk is lacking. Life's Essential 8 (LE8) is the latest concept proposed by the American Heart Association to comprehensively reflect CVH status. LE8 includes four health behaviors (diet, physical activity, smoking, and sleep) and four health factors (blood lipid, blood sugar, blood pressure, and body mass index). This study tried to evaluate the association between LE8 and cataract using data from National Health and Nutrition Examination Survey (NHANES) 2005-2008, a continuous research program which aims to monitor and evaluate the health and nutrition status of the US population. A cross-sectional study of 2720 non-cataract participants and 602 cataract participants. All participants were assigned to the poor, intermediate, and ideal CVH status groups based on LE8 score. Weighted multiple logistic regression was used to investigate the correlation between the LE8 score and cataract, as well as the correlation between each of the eight subitems and cataract, with potential confounding variables being adjusted. Then, restricted cubic spline analysis was used to further explore whether there was a nonlinear relationship between LE8 score and cataract. The proportion of cataract participants was 14.1%, 18.2%, and 20.6% in the ideal, intermediate, and poor CVH groups, respectively (P < 0.05). LE8 score was inversely associated with cataract risk, with each 10-point increase in LE8 score associated with a 14% reduction in cataract risk [odds ratio (OR) = 0.86, 95% confidence interval (CI): 0.79-0.93, P < 0.01]. Among all the LE8 subitems, physical activity, sleep, and blood glucose were significantly associated with cataract risk (all P < 0.05). Better CVH, defined by a higher LE8 score, is associated with a lower cataract risk. Efforts to improve LE8 score (especially when it comes to physical activity, sleep, and blood glucose) may serve as a novel strategy to help reduce the risk of cataract.
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Affiliation(s)
- Yang Meng
- Department of Ophthalmology, Renmin Hospital of Wuhan University, 238 Jiefang Road, Wuhan, China
| | - Zongbiao Tan
- Department of Gastroenterology, Renmin Hospital of Wuhan University, 238 Jiefang Road, Wuhan, China
| | - Abdulla Sawut
- Department of Ophthalmology, Renmin Hospital of Wuhan University, 238 Jiefang Road, Wuhan, China
| | - Lu Li
- Department of Ophthalmology, Renmin Hospital of Wuhan University, 238 Jiefang Road, Wuhan, China.
| | - Changzheng Chen
- Department of Ophthalmology, Renmin Hospital of Wuhan University, 238 Jiefang Road, Wuhan, China.
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Jiang J, Ning N, Liu Y, Cai Z, Zhao M, Peng X, Li L, Chen S, Wang J, Wang F, Qin X, Ma Y, Wu S. Association of Life's Essential 8 with all-cause mortality and risk of cancer: a prospective cohort study. BMC Public Health 2024; 24:1406. [PMID: 38802806 PMCID: PMC11129373 DOI: 10.1186/s12889-024-18879-y] [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: 12/28/2023] [Accepted: 05/17/2024] [Indexed: 05/29/2024] Open
Abstract
BACKGROUND No study has concentrated on the association of LE8 with cancer risk and death. We aim to examine the association of LE8 with death and cancer. METHODS A total of 94733 adults aged 51.42 ± 12.46 years and 77551 participants aged 54.09±12.06 years were enrolled in longitudinal and trajectory analysis respectively. Baseline LE8 was divided into three groups based on the American Heart Association criteria and three trajectory patterns by latent mixture models. We reviewed medical records and clinical examinations to confirm incident cancer during the period from 2006 to 2020. Death information was collected from provincial vital statistics offices. Cox models were used. RESULTS 12807 all-cause deaths and 5060 cancers were documented during a 14-year follow-up. Relative to participants with high LE8 at baseline, participants with lower levels of LE8 have a significantly increased risk of mortality and incident cancer. All these risks have an increasing trend with LE8 level decreasing. Meanwhile, the trajectory analysis recorded 7483 all-cause deaths and 3037 incident cancers after approximately 10 years. The associations of LE8 with death and cancer were identical to the longitudinal study. In the subtype cancer analysis, LE8 has a strong effect on colorectal cancer risk. Moreover, the cut point is 56.67 in the association between LE8 and death, while the cut point altered to 64.79 in the association between LE8 and incident cancers. These associations were enhanced among younger adults. CONCLUSIONS There was a significant association of LE8 with death and cancer risk, especially for the young population.
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Affiliation(s)
- Jinguo Jiang
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, No. 36, San Hao Street, Heping District, Shenyang, Liaoning Province, 110004, China
| | - Ning Ning
- Department of Epidemiology and Biostatistics, School of Public Health, China Medical University, No.77 Puhe Road, Shenyang North New Area, Shenyang, 110122, Liaoning Province, China
| | - Yang Liu
- Department of Epidemiology and Biostatistics, School of Public Health, China Medical University, No.77 Puhe Road, Shenyang North New Area, Shenyang, 110122, Liaoning Province, China
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, 38# Xueyuan Road, Haidian District, Beijing, 100191, China
- Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing, 100191, China
| | - Zhiwei Cai
- Department of Cardiology, Second Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong, China
| | - Maoxiang Zhao
- Interventional Center of Valvular Heart Disease, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
| | - Xinyi Peng
- Hypertension Center, Fuwai Hospital, State Key Laboratory of Cardiovascular Disease of China, National Center for Cardiovascular Diseases of China, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100037, China
| | - Liuxin Li
- Graduate School, North China University of Science and Technology, Tangshan, China
| | - Shuohua Chen
- Department of Cardiology, Kailuan General Hospital, No.57 Xinhua East Road, Tangshan, 063000, Hebei Province, China
| | - Jing Wang
- Peking University Medical Informatics Center, Peking University, Beijing, China
| | - Feng Wang
- Chinese Center for Health Education, Beijing, China
| | - Xueying Qin
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, 38# Xueyuan Road, Haidian District, Beijing, 100191, China.
- Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing, 100191, China.
| | - Yanan Ma
- Department of Epidemiology and Biostatistics, School of Public Health, China Medical University, No.77 Puhe Road, Shenyang North New Area, Shenyang, 110122, Liaoning Province, China.
| | - Shouling Wu
- Department of Cardiology, Kailuan General Hospital, No.57 Xinhua East Road, Tangshan, 063000, Hebei Province, China.
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Huo Z, Huang Z, Feng J, Li J, Chen S, Wang G, Peng Y, Huang L, Wu S, Gao X, Li Y, Geng T. Life's Essential 8 and heart failure among patients with chronic kidney disease: the Kailuan Cohort Study. Eur J Prev Cardiol 2024; 31:824-831. [PMID: 38113400 DOI: 10.1093/eurjpc/zwad398] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/25/2023] [Revised: 12/11/2023] [Accepted: 12/12/2023] [Indexed: 12/21/2023]
Abstract
AIMS Patients with chronic kidney disease (CKD) are at an increased risk of developing heart failure. The American Heart Association recently released a new metric, Life's Essential 8 (LE8), for health promotion. However, evidence regarding associations between LE8 and heart failure risk among patients with CKD is scarce. METHODS AND RESULTS A total of 16 190 patients with CKD (mean age 55.9 years), free of cardiovascular disease at recruitment from the Kailuan Study, were included. Cardiovascular health was assessed using the LE8 score. Incident heart failure events were ascertained via linkage of electronic health record data. Cox proportional hazards regression models were used to compute hazard ratios (HRs) and 95% confidence intervals (CIs). There were 814 (5.0%) patients in the high LE8 criteria, with 13 180 (81.4%) in the moderate, and 2196 (13.6%) in the low LE8 category, respectively. During a median follow-up of 13.7 years, 724 incident heart failure cases were documented. Compared with the low LE8 category, the HRs (95% CIs) for heart failure were 0.58 (0.48, 0.71) for the moderate LE8 category and 0.32 (0.19, 0.54) for the high LE8 category (P for trend <0.001). In addition, the association was stronger in patients aged ≤65 years compared with their older counterparts (P for interaction = 0.01). CONCLUSION Our data showed a strong graded inverse association between the LE8-defined cardiovascular health and the risk of heart failure among patients with CKD. Our findings support the importance of adopting the LE8 among patients with CKD to prevent heart failure.
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Affiliation(s)
- Zhenyu Huo
- Department of Epidemiology and Biostatistics, School of Public Health, North China University of Science and Technology, Tangshan, China
- Department of Cardiology, Kailuan General Hospital, Tangshan, China
| | - Zhe Huang
- Department of Cardiology, Kailuan General Hospital, Tangshan, China
| | - Jun Feng
- Department of General Surgery, Zunhua Minzu Hospital, Tangshan, China
| | - Junjuan Li
- Department of Cardiology, Kailuan General Hospital, Tangshan, China
| | - Shuohua Chen
- Department of Cardiology, Kailuan General Hospital, Tangshan, China
| | - Guodong Wang
- Department of Cardiology, Kailuan General Hospital, Tangshan, China
| | - Yinshun Peng
- Department of Nutrition and Food Hygiene, School of Public Health, Institute of Nutrition, Fudan University, 130 Dong'an Road, Shanghai 200032, China
| | - Lili Huang
- Department of Nutrition and Food Hygiene, School of Public Health, Institute of Nutrition, Fudan University, 130 Dong'an Road, Shanghai 200032, China
| | - Shouling Wu
- Department of Cardiology, Kailuan General Hospital, Tangshan, China
| | - Xiang Gao
- Department of Nutrition and Food Hygiene, School of Public Health, Institute of Nutrition, Fudan University, 130 Dong'an Road, Shanghai 200032, China
| | - Yaqi Li
- Department of Nutrition and Food Hygiene, School of Public Health, Institute of Nutrition, Fudan University, 130 Dong'an Road, Shanghai 200032, China
| | - Tingting Geng
- Department of Nutrition and Food Hygiene, School of Public Health, Institute of Nutrition, Fudan University, 130 Dong'an Road, Shanghai 200032, China
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Zhang L, Sun Z, Jia X, Zhao C, Yu J, Lyu X, Lau JTF, Li N, Qian D, Wang Z, Chen X, Liu Z. Confronting health disparities: Lessons from the USA. Aging Med (Milton) 2024; 7:158-161. [PMID: 38725693 PMCID: PMC11077332 DOI: 10.1002/agm2.12303] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2024] [Revised: 02/24/2024] [Accepted: 03/28/2024] [Indexed: 05/12/2024] Open
Affiliation(s)
- Liming Zhang
- Second Affiliated Hospital, and School of Public Health, The Key Laboratory of Intelligent Preventive Medicine of Zhejiang ProvinceZhejiang University School of MedicineHangzhouZhejiangChina
| | - Zhenyu Sun
- Department of Health Policy and ManagementYale School of Public HealthNew HavenConnecticutUSA
- School of Health Policy and ManagementNanjing Medical UniversityNanjingJiangsuChina
| | - Xueqing Jia
- Second Affiliated Hospital, and School of Public Health, The Key Laboratory of Intelligent Preventive Medicine of Zhejiang ProvinceZhejiang University School of MedicineHangzhouZhejiangChina
| | - Ciyun Zhao
- Second Affiliated Hospital, and School of Public Health, The Key Laboratory of Intelligent Preventive Medicine of Zhejiang ProvinceZhejiang University School of MedicineHangzhouZhejiangChina
| | - Jiening Yu
- Second Affiliated Hospital, and School of Public Health, The Key Laboratory of Intelligent Preventive Medicine of Zhejiang ProvinceZhejiang University School of MedicineHangzhouZhejiangChina
| | - Xinwei Lyu
- Institute of Epidemiology and Health Care, University College LondonLondonUK
| | - Joseph Tak Fai Lau
- Centre for Health Behaviours Research, School of Public Health and Primary CareThe Chinese University of Hong KongHong KongChina
| | - Na Li
- Department of Chronic Disease Prevention and ControlZhejiang Provincial Center for Disease Control and PreventionHangzhouZhejiangChina
| | - Dongfu Qian
- School of Health Policy and ManagementNanjing Medical UniversityNanjingJiangsuChina
| | - Zhihui Wang
- National Center for Chronic and Non‐Communicable Disease Control and Prevention, Chinese Center for Disease Control and PreventionBeijingChina
| | - Xi Chen
- Department of Health Policy and ManagementYale School of Public HealthNew HavenConnecticutUSA
- Department of EconomicsYale UniversityNew HavenConnecticutUSA
| | - Zuyun Liu
- Second Affiliated Hospital, and School of Public Health, The Key Laboratory of Intelligent Preventive Medicine of Zhejiang ProvinceZhejiang University School of MedicineHangzhouZhejiangChina
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Wu D, Qu C, Huang P, Geng X, Zhang J, Shen Y, Rao Z, Zhao J. Better Life's Essential 8 contributes to slowing the biological aging process: a cross-sectional study based on NHANES 2007-2010 data. Front Public Health 2024; 12:1295477. [PMID: 38544722 PMCID: PMC10965682 DOI: 10.3389/fpubh.2024.1295477] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2023] [Accepted: 02/07/2024] [Indexed: 05/03/2024] Open
Abstract
Objective To investigate the relationship between Life's Essential 8 (LE8) and Phenotypic Age Acceleration (PhenoAgeAccel) in United States adults and to explore the impact of LE8 on phenotypic biological aging, thereby providing references for public health policies and health education. Methods Utilizing data from the National Health and Nutrition Examination Survey (NHANES) conducted between 2007 and 2010, this cross-sectional study analyzed 7,339 adults aged 20 and above. Comprehensive assessments of LE8, PhenoAgeAccel, and research covariates were achieved through the integration of Demographics Data, Dietary Data, Laboratory Data, and Questionnaire Data derived from NHANES. Weighted generalized linear regression models and restricted cubic spline plots were employed to analyze the linear and non-linear associations between LE8 and PhenoAgeAccel, along with gender subgroup analysis and interaction effect testing. Results (1) Dividing the 2007-2010 NHANES cohort into quartiles based on LE8 unveiled significant disparities in age, gender, race, body mass index, education level, marital status, poverty-income ratio, smoking and drinking statuses, diabetes, hypertension, hyperlipidemia, phenotypic age, PhenoAgeAccel, and various biological markers (p < 0.05). Mean cell volume demonstrated no intergroup differences (p > 0.05). (2) The generalized linear regression weighted models revealed a more pronounced negative correlation between higher quartiles of LE8 (Q2, Q3, and Q4) and PhenoAgeAccel compared to the lowest LE8 quartile in both crude and fully adjusted models (p < 0.05). This trend was statistically significant (p < 0.001) in the full adjustment model. Gender subgroup analysis within the fully adjusted models exhibited a significant negative relationship between LE8 and PhenoAgeAccel in both male and female participants, with trend tests demonstrating significant results (p < 0.001 for males and p = 0.001 for females). (3) Restricted cubic spline (RCS) plots elucidated no significant non-linear trends between LE8 and PhenoAgeAccel overall and in gender subgroups (p for non-linear > 0.05). (4) Interaction effect tests denoted no interaction effects between the studied stratified variables such as age, gender, race, education level, and marital status on the relationship between LE8 and PhenoAgeAccel (p for interaction > 0.05). However, body mass index and diabetes manifested interaction effects (p for interaction < 0.05), suggesting that the influence of LE8 on PhenoAgeAccel might vary depending on an individual's BMI and diabetes status. Conclusion This study, based on NHANES data from 2007-2010, has revealed a significant negative correlation between LE8 and PhenoAgeAccel, emphasizing the importance of maintaining a healthy lifestyle in slowing down the biological aging process. Despite the limitations posed by the study's design and geographical constraints, these findings provide a scientific basis for the development of public health policies focused on healthy lifestyle practices. Future research should further investigate the causal mechanisms underlying the relationship between LE8 and PhenoAgeAccel and consider cross-cultural comparisons to enhance our understanding of healthy aging.
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Affiliation(s)
- Dongzhe Wu
- Exercise Biological Center, China Institute of Sport Science, Beijing, China
| | - Chaoyi Qu
- Physical Education College, Hebei Normal University, Shijiazhuang, China
| | - Peng Huang
- Exercise Biological Center, China Institute of Sport Science, Beijing, China
| | - Xue Geng
- Exercise Biological Center, China Institute of Sport Science, Beijing, China
| | | | - Yulin Shen
- Exercise Biological Center, China Institute of Sport Science, Beijing, China
| | - Zhijian Rao
- Exercise Biological Center, China Institute of Sport Science, Beijing, China
- College of Physical Education, Shanghai Normal University, Shanghai, China
| | - Jiexiu Zhao
- Exercise Biological Center, China Institute of Sport Science, Beijing, China
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Qu H, Zhang S. Association of cardiovascular health and periodontitis: a population-based study. BMC Public Health 2024; 24:438. [PMID: 38347510 PMCID: PMC10860246 DOI: 10.1186/s12889-024-18001-2] [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: 11/07/2023] [Accepted: 02/05/2024] [Indexed: 02/15/2024] Open
Abstract
BACKGROUND There is a strong association between cardiovascular disease (CVD) and periodontitis. This study utilized the Life Essentials 8 (LE8) score, a composite measure of cardiovascular health (CVH), to elucidate the relationship between CVH and periodontitis. METHODS Data from 8,649 nationally representative participants in the National Health and Nutrition Examination Survey (NHANES) were analyzed. The independent variable in our study was the CVH score (a higher CVH score indicates better cardiovascular health), and the dependent variable was the presence or absence of periodontitis. The association between CVH and periodontitis was investigated using weighted multivariable logistic regression models and restricted cubic spline (RCS). We controlled for potential confounders such as age, sex, race, education, and socioeconomic status to minimize bias. RESULTS There was a negative association between the total CVH score and the odds of periodontitis. After adjusting for all covariates, a 10-point increase in total CVH score was associated with a 10% lower in the odds of periodontitis [0.90 (0.87, 0.93)]. Participants with a higher CVH had 40% lower odds of periodontitis compared with those with a lower CVH. Socioeconomic status (education and income) modified this association (P for interaction < 0.05). CONCLUSION Our study suggests that better cardiovascular health, as indicated by higher CVH scores, is associated with a reduced likelihood of periodontitis among US adults. The relationship between CVH and periodontitis appears to be influenced by socioeconomic status, emphasizing the need for targeted interventions in populations with lower socioeconomic status.
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Affiliation(s)
- Haitao Qu
- Department of Oral and Maxillofacial Surgery, Jinan Stomatological Hospital, Jinan, 250001, China
| | - Shengnan Zhang
- Department of Oral and Maxillofacial Surgery, Jinan Stomatological Hospital, Jinan, 250001, China.
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Attanasio A, Piepoli MF. Editorial comments: focus on population science. Eur J Prev Cardiol 2023; 30:1725-1727. [PMID: 37948638 DOI: 10.1093/eurjpc/zwad326] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/12/2023]
Affiliation(s)
- Andrea Attanasio
- Clinical Cardiology, IRCCS Policlinico San Donato, Via Morandi 30, 20097 San Donato Milanese, Milan, Italy
| | - Massimo F Piepoli
- Clinical Cardiology, IRCCS Policlinico San Donato, Via Morandi 30, 20097 San Donato Milanese, Milan, Italy
- Department of Biomedical Science for Heath, University of Milan, Via Festa del Perdono 7, 20122 Milan, Italy
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Attanasio A, Piepoli MF. Editorial comments: focus on cardiovascular risk burden. Eur J Prev Cardiol 2023; 30:1549-1551. [PMID: 37880865 DOI: 10.1093/eurjpc/zwad310] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/27/2023]
Affiliation(s)
- Andrea Attanasio
- Clinical Cardiology, IRCCS Policlinico San Donato, Via Morandi 30, San Donato Milanese, Milan 20097, Italy
| | - Massimo F Piepoli
- Clinical Cardiology, IRCCS Policlinico San Donato, Via Morandi 30, San Donato Milanese, Milan 20097, Italy
- Department of Preventive Cardiology, Wroclaw Medical University, Wroclaw, Poland
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Artola Arita V, Hernández Vargas JA, Franco OH. Is our destiny written in our genes? A sentence or an opportunity to prevent cardiovascular diseases? Eur J Prev Cardiol 2023; 30:1674-1675. [PMID: 37418636 DOI: 10.1093/eurjpc/zwad220] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/28/2023] [Accepted: 06/30/2023] [Indexed: 07/09/2023]
Affiliation(s)
- Vicente Artola Arita
- Department of Global Public Health and Bioethics, Julius Center, University Medical Center (UMC) Utrecht, Utrecht, The Netherlands
| | | | - Oscar H Franco
- Department of Global Public Health and Bioethics, Julius Center, University Medical Center (UMC) Utrecht, Utrecht, The Netherlands
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Chen F, Zhang Y, Chen S. The inverted U-shaped relationship between weight loss percentage and cardiovascular health scores. Eat Weight Disord 2023; 28:87. [PMID: 37874416 PMCID: PMC10598164 DOI: 10.1007/s40519-023-01619-3] [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: 08/22/2023] [Accepted: 10/18/2023] [Indexed: 10/25/2023] Open
Abstract
PURPOSE Obesity is a significant risk factor for cardiovascular disease; however, the impact of weight loss on cardiovascular health (CVH) in individuals with specific obesity patterns remains incompletely understood. The objective of our study was to investigate the relationship weight loss percentage and CVH scores across individuals with various obesity patterns. METHODS Our study utilized data from the National Health and Nutrition Examination Survey conducted between 2007 and 2018, involving a total of 12,835 participants aged 16 years or older, to conduct a cross-sectional analysis. Multiple linear regression and multinomial logistic regression methods were used to assess the correlation between the weight loss percentage and the CVH scores. Additionally, restricted cubic spline analysis was employed to examine the nonlinear relationship between the two variables. RESULTS Compared to individuals with a weight loss percentage < 0%, participants with weight loss percentages of 0-5% and 5.1-10% showed improved CVH scores, with β values of 2.85 (95% CI 2.32-3.38) and 2.55 (95% CI 1.69-3.4), respectively. Regarding different obesity patterns, compared to participants with a weight loss percentage < 0%, participants with a weight loss percentage of 0-5% showed an increase in CVH scores in the normal weight and overweight/general obesity (OGO) groups, with β values of 1.45 (95% CI 0.7-2.19) and 1.22 (95% CI 0.46-1.97), respectively. Restricted cubic spline analysis revealed a significant inverted U-shaped relationship between the weight loss percentage and the CVH scores (with optimal CVH scores at 3%). CONCLUSIONS There was an inverted U-shaped relationship between weight loss percentage and CVH scores, with moderate weight loss (0-10%, optimal value of 3%) being associated with improved CVH scores, especially among individuals with OGO. LEVEL V Opinions of respected authorities, based on descriptive studies, narrative reviews, clinical experience, or reports of expert committees.
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Affiliation(s)
- Feng Chen
- Department of Child Healthcare, Wenzhou People's Hospital, Wenzhou, 325000, China
| | - Yu Zhang
- Department of Child Healthcare, Wenzhou People's Hospital, Wenzhou, 325000, China.
| | - Shaohe Chen
- Department of Child Healthcare, Wenzhou People's Hospital, Wenzhou, 325000, China.
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