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Chen Y, Zhang H, Pan Y, Zhang Y, Yang Y, Liu L, Jia Q, Wang Y, Kong Y. Association between cardiovascular health and serum vitamin D and its interaction with prediabetes and diabetes. Am J Med Sci 2024:S0002-9629(24)01414-9. [PMID: 39186977 DOI: 10.1016/j.amjms.2024.08.021] [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: 02/07/2024] [Revised: 08/19/2024] [Accepted: 08/20/2024] [Indexed: 08/28/2024]
Abstract
BACKGROUND Prediabetes and diabetes are common and serious public health problems, and high blood glucose can lead to serious cardiovascular complications. The purpose of this article was to explore the link between CVH levels and the incidence of prediabetes and diabetes in people over 20 years old, and whether serum vitamin D status could alter this relationship. MATERIALS AND METHODS Data, from six consecutive cycles of the NHANES database from 2007 to 2018 were combined, eligible participants were aged ≥20 years. After excluding missing data, a total of 19,992 subjects were enrolled in the study. Significant risk factors for prediabetes and diabetes were analyzed using univariate and multivariate logistic regression. Exploring the interaction of VD and CVH on prediabetes and diabetes based on multifactorial regression analysis. RESULTS The prevalence of prediabetes among all participants was 36.15% and the prevalence of diabetes was 16.39%. CVH and vitamin D levels are influential factors in prediabetes and diabetes, and are negatively associated with the risk of developing prediabetes and diabetes. Compared with normoglycemia, poorer CVH and vitamin D deficiency only had a synergistic multiplicative interaction on the development of diabetes, and no significant interaction was observed for the development of prediabetes. Compared with prediabetes, poorer CVH and vitamin D deficiency still had a synergistic additive interaction on the development of diabetes. CONCLUSIONS Although the cross-sectional study only determine the association and do not prove causality, the current results can be used to prompt people to improve their lifestyle and risk factors to prevent prediabetes or diabetes through higher CVH and adequate Vitamin D.
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Affiliation(s)
- Ying Chen
- From the Department of Cardiology, First Affiliated Hospital of Harbin Medical University, Harbin, China.
| | - Haiyu Zhang
- From the Department of Cardiology, First Affiliated Hospital of Harbin Medical University, Harbin, China.
| | - Yanbing Pan
- From the Department of Cardiology, First Affiliated Hospital of Harbin Medical University, Harbin, China.
| | - Yanzi Zhang
- From the Department of Cardiology, First Affiliated Hospital of Harbin Medical University, Harbin, China.
| | - Yuxuan Yang
- From the Department of Cardiology, First Affiliated Hospital of Harbin Medical University, Harbin, China.
| | - Lu Liu
- From the Department of Cardiology, First Affiliated Hospital of Harbin Medical University, Harbin, China.
| | - Qiuting Jia
- From the Department of Cardiology, First Affiliated Hospital of Harbin Medical University, Harbin, China.
| | - Yongle Wang
- From the Department of Cardiology, First Affiliated Hospital of Harbin Medical University, Harbin, China.
| | - Yihui Kong
- From the Department of Cardiology, First Affiliated Hospital of Harbin Medical University, Harbin, China.
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Xiao Y, Tang Y, Wang J, Yin S, Bai Y, Cui J, Yang Y, Huang K, Wang J. Cardiovascular health assessed by the new life's essential 8 and the prevalence of urinary incontinence in adults. BMC Public Health 2024; 24:2136. [PMID: 39107742 PMCID: PMC11304804 DOI: 10.1186/s12889-024-19604-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2023] [Accepted: 07/26/2024] [Indexed: 08/10/2024] Open
Abstract
OBJECTIVE To explore the association between cardiovascular health (CVH) measured by Life's Essential 8 (LE8) and the prevalence of urinary incontinence (UI). METHOD A cross-section study was conducted using data from the National Health and Nutrition Examination Survey 2007-2012. 22,609 people aged ≥ 20 years with complete information on LE8 metrics and UI questionnaires were enrolled. Participants were divided into three groups (low: < 50, moderate: ≥ 50 and < 80, high: ≥ 80) based on the cut-off of LE8. Weighted proportions, multivariable logistic regression analysis and stratified logistic regression were performed to examine the association between LE8 and the prevalence of three types of UI separately (stress UI (SUI), urge UI (UUI), mixed UI (MUI)) by confounding factors adjusted. Spline smooth was conducted to find whether a linear relationship existed. In addition, sensitive analyses were also conducted to observe the stability. RESULT A total of 22,609 adults were involved in the study, and participants were divided into three groups (low 42.2 ± 6.3, moderate 66.1 ± 8.1, high 86.8 ± 5.1) according to the cut-off points of LE8. The multivariable logistic regression suggested that LE8 is inversely associated with the prevalence of SUI (OR = 0.98, 95%CI 0.98 to 0.99), UUI (OR = 0.98, 95%CI 0.98 to 0.99), and MUI (OR = 0.98, 95%CI 0.97 to 0.98) in the fully-adjusted model. Compared with the low group, people with high scores of LE8 had a lower prevalence of SUI (OR = 0.45, 95%CI 0.37 to 0.55), UUI (OR = 0.49, 95%CI 0.40 to 0.60), and MUI (OR = 0.41, 95%CI 0.30 to 0.55). The result of the sensitive analysis showed the robustness of the main analysis. CONCLUSION The prevalence of UI (SUI, UUI, or MUI) is inversely associated with the LE8 score, which suggests that maintaining a good CVH with a higher LE8 score is accompanied by lower prevalence rates of UUI, SUI, and MUI.
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Affiliation(s)
- Yunfei Xiao
- Department of Urology, Institute of Urology, West China Hospital, Sichuan University, Guoxue Alley, No. 37, Chengdu, Sichuan, P.R. China
| | - Yaxiong Tang
- Department of Urology, Institute of Urology, West China Hospital, Sichuan University, Guoxue Alley, No. 37, Chengdu, Sichuan, P.R. China
| | - Jiahao Wang
- Department of Urology, Institute of Urology, West China Hospital, Sichuan University, Guoxue Alley, No. 37, Chengdu, Sichuan, P.R. China
| | - Shan Yin
- Department of Urology, Affiliated Hospital of North Sichuan Medical College, Nanchong, China
| | - Yunjin Bai
- Department of Urology, Institute of Urology, West China Hospital, Sichuan University, Guoxue Alley, No. 37, Chengdu, Sichuan, P.R. China
| | - Jianwei Cui
- Department of Urology, Institute of Urology, West China Hospital, Sichuan University, Guoxue Alley, No. 37, Chengdu, Sichuan, P.R. China
| | - Yaqing Yang
- Department of Respiratory and Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, China
| | - Ke Huang
- Department of Urology, Institute of Urology, West China Hospital, Sichuan University, Guoxue Alley, No. 37, Chengdu, Sichuan, P.R. China
| | - Jia Wang
- Department of Urology, Institute of Urology, West China Hospital, Sichuan University, Guoxue Alley, No. 37, Chengdu, Sichuan, P.R. China.
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Yu Y, Sun Y, Yu Y, Wang Y, Chen C, Tan X, Lu Y, Wang N. Life's Essential 8 and risk of non-communicable chronic diseases: Outcome-wide analyses. Chin Med J (Engl) 2024; 137:1553-1562. [PMID: 37821910 PMCID: PMC11230768 DOI: 10.1097/cm9.0000000000002830] [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: 07/31/2023] [Indexed: 10/13/2023] Open
Abstract
BACKGROUND Life's Simple 7, the former construct of cardiovascular health (CVH) has been used to evaluate adverse non-communicable chronic diseases (NCDs). However, some flaws have been recognized in recent years and Life's Essential 8 has been established. In this study, we aimed to analyze the association between CVH defined by Life's Essential 8 and risk of 44 common NCDs and further estimate the population attributable fractions (PAFs) of low-moderate CVH scores in the 44 NCDs. METHODS In the UK Biobank, 170,726 participants free of 44 common NCDs at baseline were included. The Life's Essential 8 composite measure consists of four health behaviours (diet, physical activity, nicotine exposure, and sleep) and four health factors (body mass index, non-high density lipoprotein cholesterol, blood glucose, and blood pressure), and the maximum CVH score was 100 points. CVH score was categorized into low, moderate, and high groups. Participants were followed up for 44 NCDs diagnosis across 10 human system disorders according to the International Classification of Diseases 10th edition (ICD-10) code using linkage to national health records until 2022. Cox proportional hazard models were used in this study. The hazard ratios (HRs) and PAFs of 44 NCDs associated with CVH score were examined. RESULTS During the median follow-up of 10.85 years, 58,889 incident NCD cases were documented. Significant linear dose-response associations were found between higher CVH score and lower risk of 25 (56.8%) of 44 NCDs. Low-moderate CVH (<80 points) score accounted for the largest proportion of incident cases in diabetes (PAF: 80.3%), followed by gout (59.6%), sleep disorder (55.6%), chronic liver disease (45.9%), chronic kidney disease (40.9%), ischemic heart disease (40.8%), chronic obstructive pulmonary disease (40.0%), endometrium cancer (35.8%), lung cancer (34.0%), and heart failure (34.0%) as the top 10. Among the eight modifiable factors, overweight/obesity explained the largest number of cases of incident NCDs in endocrine, nutritional, and metabolic diseases (35.4%), digestive system disorders (21.4%), mental and behavioral disorders (12.6%), and cancer (10.3%); however, the PAF of ideal sleep duration ranked first in nervous system (27.5%) and neuropsychiatric disorders (9.9%). CONCLUSIONS Improving CVH score based on Life's Essential 8 may lower risk of 25 common NCDs. Among CVH metrics, avoiding overweight/obesity may be especially important to prevent new cases of metabolic diseases, NCDs in digestive system, mental and behavioral disorders, and cancer.
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Affiliation(s)
- Yuetian Yu
- Institute and Department of Endocrinology and Metabolism, Shanghai Ninth People's Hospital, Shanghai JiaoTong University School of Medicine, Shanghai 200011, China
| | - Ying Sun
- Institute and Department of Endocrinology and Metabolism, Shanghai Ninth People's Hospital, Shanghai JiaoTong University School of Medicine, Shanghai 200011, China
| | - Yuefeng Yu
- Institute and Department of Endocrinology and Metabolism, Shanghai Ninth People's Hospital, Shanghai JiaoTong University School of Medicine, Shanghai 200011, China
| | - Yuying Wang
- Institute and Department of Endocrinology and Metabolism, Shanghai Ninth People's Hospital, Shanghai JiaoTong University School of Medicine, Shanghai 200011, China
| | - Chi Chen
- Institute and Department of Endocrinology and Metabolism, Shanghai Ninth People's Hospital, Shanghai JiaoTong University School of Medicine, Shanghai 200011, China
| | - Xiao Tan
- School of Public Health, Zhejiang University, Hangzhou 310058, Zhejiang, China
- Department of Medical Sciences, Uppsala University, Uppsala 75185, Sweden
| | - Yingli Lu
- Institute and Department of Endocrinology and Metabolism, Shanghai Ninth People's Hospital, Shanghai JiaoTong University School of Medicine, Shanghai 200011, China
| | - Ningjian Wang
- Institute and Department of Endocrinology and Metabolism, Shanghai Ninth People's Hospital, Shanghai JiaoTong University School of Medicine, Shanghai 200011, China
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Spaur M, Galvez-Fernandez M, Chen Q, Lombard MA, Bostick BC, Factor-Litvak P, Fretts AM, Shea SJ, Navas-Acien A, Nigra AE. Association of Water Arsenic With Incident Diabetes in U.S. Adults: The Multi-Ethnic Study of Atherosclerosis and the Strong Heart Study. Diabetes Care 2024; 47:1143-1151. [PMID: 38656975 PMCID: PMC11208750 DOI: 10.2337/dc23-2231] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/21/2023] [Accepted: 04/02/2024] [Indexed: 04/26/2024]
Abstract
OBJECTIVE We examined the association of arsenic in federally regulated community water systems (CWS) and unregulated private wells with type 2 diabetes (T2D) incidence in the Strong Heart Family Study (SHFS), a prospective study of American Indian communities, and the Multi-Ethnic Study of Atherosclerosis (MESA), a prospective study of racially and ethnically diverse urban U.S. communities. RESEARCH DESIGN AND METHODS We evaluated 1,791 participants from SHFS and 5,777 participants from MESA who had water arsenic estimates available and were free of T2D at baseline (2001-2003 and 2000-2002, respectively). Participants were followed for incident T2D until 2010 (SHFS cohort) or 2019 (MESA cohort). We used Cox proportional hazards mixed-effects models to account for clustering by family and residential zip code, with adjustment for sex, baseline age, BMI, smoking status, and education. RESULTS T2D incidence was 24.4 cases per 1,000 person-years (mean follow-up, 5.6 years) in SHFS and 11.2 per 1,000 person-years (mean follow-up, 14.0 years) in MESA. In a meta-analysis across the SHFS and MESA cohorts, the hazard ratio (95% CI) per doubling in CWS arsenic was 1.10 (1.02, 1.18). The corresponding hazard ratio was 1.09 (0.95, 1.26) in the SHFS group and 1.10 (1.01, 1.20) in the MESA group. The corresponding hazard ratio (95% CI) for arsenic in private wells and incident T2D in SHFS was 1.05 (0.95, 1.16). We observed statistical interaction and larger magnitude hazard ratios for participants with BMI <25 kg/m2 and female participants. CONCLUSIONS Low to moderate water arsenic levels (<10 µg/L) were associated with T2D incidence in the SHFS and MESA cohorts.
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Affiliation(s)
- Maya Spaur
- Department of Environmental Health Sciences, Columbia University Mailman School of Public Health, New York, NY
| | - Marta Galvez-Fernandez
- Department of Environmental Health Sciences, Columbia University Mailman School of Public Health, New York, NY
| | - Qixuan Chen
- Department of Biostatistics, Columbia University Mailman School of Public Health, New York, NY
| | | | | | - Pam Factor-Litvak
- Department of Epidemiology, Columbia University Mailman School of Public Health, New York, NY
| | - Amanda M. Fretts
- Department of Epidemiology, University of Washington, Seattle, WA
| | - Steven J. Shea
- Department of Medicine, Vagelos College of Physicians and Surgeons, and Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY
| | - Ana Navas-Acien
- Department of Environmental Health Sciences, Columbia University Mailman School of Public Health, New York, NY
| | - Anne E. Nigra
- Department of Environmental Health Sciences, Columbia University Mailman School of Public Health, New York, NY
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Xu W, Feng Y, Abdullah G, Li L, Fang P, Tang S, Yang H, Kong D, Huang H, Wang Y, Xue Y. Association between the AHA life's essential 8 and prediabetes/diabetes: a cross-sectional NHANES study. Front Endocrinol (Lausanne) 2024; 15:1376463. [PMID: 39086898 PMCID: PMC11289523 DOI: 10.3389/fendo.2024.1376463] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/25/2024] [Accepted: 06/17/2024] [Indexed: 08/02/2024] Open
Abstract
Background and aims The American Heart Association (AHA) recently introduced the Life's Essential 8 (LE8) to improve cardiovascular health (CVH). However, the association between LE8 and the risk of prediabetes or diabetes is not yet fully understood. Consequently, this study aims to assess the association between CVH, as evaluated by LE8, and the risk of prediabetes and diabetes. Methods and Results This cross-sectional study encompassed 7,739 participants aged ≥20 years from the 2007-2018 National Health and Nutrition Examination Surveys (NHANES). The CVH of participants was evaluated using the LE8, combining four health behaviors and three health factors. Glucose metabolic status categories included normal glucose metabolism, prediabetes including isolated impaired fasting glucose, isolated impaired glucose tolerance, both IFG and IGT, and diabetes. The associations between CVH and prediabetes and diabetes were analyzed using logistic regression, linear regression, restricted cubic splines, and subgroup analyses. Among 7,739 participants, 1,949 had iIFG, 1,165 were diagnosed with iIGT, 799 were IFG+IGT, and 537 were diagnosed with diabetes. After multivariable adjustments, CVH scores were inversely associated with prediabetes and diabetes, with the most robust inverse association observed between IFG+IGT and CVH across all prediabetes subgroups. Of all CVH components not directly in the causal pathway, body mass index (BMI) had the most robust associations with prediabetes and diabetes. Subgroup analyses indicated that the negative correlation between CVH and prediabetes was stronger among those with university or higher education. Conclusion CVH, as defined by LE8, showed a significant negative association with prediabetes and diabetes.
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Affiliation(s)
- Wei Xu
- Department of Endocrinology and Metabolism, Tongji Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Yuntao Feng
- Department of Cardiology, Tongji Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Guzalnur Abdullah
- Department of Endocrinology and Metabolism, Tongji Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Ling Li
- Department of Endocrinology and Metabolism, Tongji Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Ping Fang
- Department of Endocrinology and Metabolism, Tongji Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Sijing Tang
- Department of Endocrinology and Metabolism, Tongji Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Huanhuan Yang
- Department of Endocrinology and Metabolism, Tongji Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Dehong Kong
- Department of Endocrinology and Metabolism, Tongji Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Hemin Huang
- Department of Endocrinology and Metabolism, Tongji Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Yang Wang
- Department of Endocrinology and Metabolism, Tongji Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Ying Xue
- Department of Endocrinology and Metabolism, Tongji Hospital, School of Medicine, Tongji University, Shanghai, China
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Wang Q, Schmidt AF, Lennon LT, Papacosta O, Whincup PH, Wannamethee G. Association of Life's Simple 7 lifestyle metric with cardiometabolic disease-free life expectancy in older British men. COMMUNICATIONS MEDICINE 2024; 4:104. [PMID: 38834824 DOI: 10.1038/s43856-024-00534-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2023] [Accepted: 05/29/2024] [Indexed: 06/06/2024] Open
Abstract
BACKGROUND Cardiometabolic diseases (CMD), including myocardial infarction, stroke, and type 2 diabetes, are leading causes of disability and mortality globally, particularly for people at an older age. The impact of adhering to the Life's Simple 7 (LS7) on the number of years an individual will live without CMD in older adults remains less studied. METHODS This study included a cohort of 2662 British men aged 60-79 years free of CMD at baseline from the British Regional Heart Study (BRHS). Each LS7 factor (BMI, blood pressure, blood glucose, total cholesterol, smoking, physical activity, and diet) was categorized as poor, intermediate, or ideal, and a composite LS7 adherence was determined by summing the number of LS7 ideal levels achieved. Flexible parametric Royston-Parmar proportional-hazards model was applied to estimate CMD-free life expectancy. RESULTS Here we show that compared to men with the lowest LS7 adherence [with 18.42 years (95% CI: 16.93, 19.90) of CMD-free life at age 60], men having an ideal LS7 adherence are estimated to gain an additional 4.37 years (95% CI: 2.95, 5.79) of CMD-free life. The CMD-free life gain benefits are consistent across social class groups of manual and non-manual workers. Among LS7 factors, achieving an ideal physical activity provides the largest CMD-free survival benefit: 4.84 years (95% CI: 3.37, 6.32) of additional CMD-free life compared with the physically inactive group. CONCLUSIONS Our study quantifies and highlights the benefits of adhering to the LS7 ideal levels for living a longer life without CMD in older adults.
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Affiliation(s)
- Qiaoye Wang
- Department of Primary Care and Population Health, Institute of Epidemiology and Health Care, University College London, London, UK.
| | - Amand Floriaan Schmidt
- Department of Population Science and Experimental Medicine, Institute of Cardiovascular Science, University College London, London, UK
- Department of Cardiology, Amsterdam Cardiovascular Sciences, Amsterdam University Medical Centre, University of Amsterdam, Amsterdam, The Netherlands
| | - Lucy T Lennon
- Department of Primary Care and Population Health, Institute of Epidemiology and Health Care, University College London, London, UK
| | - Olia Papacosta
- Department of Primary Care and Population Health, Institute of Epidemiology and Health Care, University College London, London, UK
| | - Peter H Whincup
- Population Health Research Institute, St George's University of London, London, UK
| | - Goya Wannamethee
- Department of Primary Care and Population Health, Institute of Epidemiology and Health Care, University College London, London, UK
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Te Hoonte F, Spronk M, Sun Q, Wu K, Fan S, Wang Z, Bots ML, Van der Schouw YT, Uijl A, Vernooij RWM. Ideal cardiovascular health and cardiovascular-related events: a systematic review and meta-analysis. Eur J Prev Cardiol 2024; 31:966-985. [PMID: 38149986 DOI: 10.1093/eurjpc/zwad405] [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: 09/26/2023] [Revised: 12/07/2023] [Accepted: 12/21/2023] [Indexed: 12/28/2023]
Abstract
AIMS The aim of this study was to systematically review and quantitatively summarize the evidence on the association between Life Simple's 7 (LS7) and multiple cardiovascular diseases (CVDs) and cardiometabolic diseases (CMDs). METHODS AND RESULTS EMBASE and PubMed were searched from January 2010 to March 2022 for observational studies that investigated the association between ideal cardiovascular health (CVH) with CVD or CMD outcomes in an adult population. Two reviewers independently selected studies according to the eligibility criteria, extracted data, and evaluated risk of bias. Data were analysed with a random-effects meta-analysis. This meta-analysis included 59 studies (1 881 382 participants). Participants with ideal CVH had a considerably lower risk of a variety of CVDs and CMDs as compared with those with poor CVH, varying from 40% lower risk for atrial fibrillation (AF) {hazard ratio [HR] = 0.60 [95% confidence interval (CI) 0.44-0.83]} to 82% lower risk for myocardial infarction [HR = 0.18 (95% CI 0.12-0.28)]. Intermediate CVH was associated with 27-57% lower risk in CVDs and CMDs compared with poor CVH, with the highest hazard for AF [HR = 0.73 (95% CI 0.59-0.91)] and the lowest hazard for peripheral arterial disease [HR = 0.43 (95% CI 0.30-0.60)]. CONCLUSION Ideal and moderate CVH were associated with a lower incidence of CVDs and CMDs than poor CVH. Life Simple's 7 holds significant potential for promoting overall CVH and thereby contributing to the prevention of CVDs.
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Affiliation(s)
- Femke Te Hoonte
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Universiteitsweg 100, 3584 CG, Utrecht, The Netherlands
| | - Merve Spronk
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Universiteitsweg 100, 3584 CG, Utrecht, The Netherlands
| | - Qi Sun
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Universiteitsweg 100, 3584 CG, Utrecht, The Netherlands
| | - Kangrui Wu
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Universiteitsweg 100, 3584 CG, Utrecht, The Netherlands
| | - Shiqi Fan
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Universiteitsweg 100, 3584 CG, Utrecht, The Netherlands
- Department of Nephrology and Hypertension, University Medical Center Utrecht, Heidelberglaan 100, 3584 CX, Utrecht, The Netherlands
| | - Ziyi Wang
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Universiteitsweg 100, 3584 CG, Utrecht, The Netherlands
| | - Michiel L Bots
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Universiteitsweg 100, 3584 CG, Utrecht, The Netherlands
| | - Yvonne T Van der Schouw
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Universiteitsweg 100, 3584 CG, Utrecht, The Netherlands
| | - Alicia Uijl
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Universiteitsweg 100, 3584 CG, Utrecht, The Netherlands
- Department of Cardiology, Amsterdam University Medical Center, University of Amsterdam, Amsterdam, The Netherlands
- Division of Cardiology, Department of Medicine, Karolinska Institute, Stockholm, Sweden
| | - Robin W M Vernooij
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Universiteitsweg 100, 3584 CG, Utrecht, The Netherlands
- Department of Nephrology and Hypertension, University Medical Center Utrecht, Heidelberglaan 100, 3584 CX, Utrecht, The Netherlands
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8
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Heath T, Shrishail N, Wong KH, Johnston KC, Sharma R, Ney JP, Sheth KN, de Havenon AH. Trends in American Indian/Alaskan native self-reported stroke prevalence and associated modifiable risk factors in the United States from 2011-2021. J Stroke Cerebrovasc Dis 2024; 33:107650. [PMID: 38460776 PMCID: PMC11253029 DOI: 10.1016/j.jstrokecerebrovasdis.2024.107650] [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: 11/07/2023] [Revised: 01/22/2024] [Accepted: 02/22/2024] [Indexed: 03/11/2024] Open
Abstract
BACKGROUND Stroke prevalence varies by race/ethnicity, as do the risk factors that elevate the risk of stroke. Prior analyses have suggested that American Indian/Alaskan Natives (AI/AN) have higher rates of stroke and vascular risk factors. METHODS We included biyearly data from the 2011-2021 Behavioral Risk Factor Surveillance System (BRFSS) surveys of adults (age ≥18) in the United States. We describe survey-weighted prevalence of stroke per self-report by race and ethnicity. In patients with self-reported stroke (SRS), we also describe the prevalence of modifiable vascular risk factors. RESULTS The weighted number of U.S. participants represented in BRFSS surveys increased from 237,486,646 in 2011 to 245,350,089 in 2021. SRS prevalence increased from 2.9% in 2011 to 3.3% in 2021 (p<0.001). Amongst all race/ethnicity groups, the prevalence of stroke was highest in AI/AN at 5.4% and 5.6% in 2011 and 2021, compared to 3.0% and 3.4% for White adults (p<0.001). AI/AN with SRS were also the most likely to have four or more vascular risk factors in both 2011 and 2021 at 23.9% and 26.4% compared to 18.2% and 19.6% in White adults (p<0.001). CONCLUSION From 2011-2021 in the United States, AI/AN consistently had the highest prevalence of self-reported stroke and highest overall burden of modifiable vascular risk factors. This persistent health disparity leaves AI/AN more susceptible to both incident and recurrent stroke.
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Affiliation(s)
- Tyria Heath
- The Native American Summer Research Internship and Department of Neurology, University of Utah, USA
| | - Neha Shrishail
- The Department of Neurology, Center for Brain & Mind Health, Yale University, USA.
| | - Ka-Ho Wong
- Department of Neurology, University of Utah, USA
| | - Karen C Johnston
- The Department of Neurology, University of Virginia, Department of Neurology, Brown University, USA
| | - Richa Sharma
- The Department of Neurology, Center for Brain & Mind Health, Yale University, USA
| | - John P Ney
- Department of Neurology, Boston University, USA
| | - Kevin N Sheth
- The Department of Neurology, Center for Brain & Mind Health, Yale University, USA
| | - Adam H de Havenon
- The Department of Neurology, Center for Brain & Mind Health, Yale University, USA
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9
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Paing PY, Littman AJ, Reese JA, Sitlani CM, Umans JG, Cole SA, Zhang Y, Ali T, Fretts AM. Association of Achievement of the American Heart Association's Life's Essential 8 Goals With Incident Cardiovascular Diseases in the SHFS. J Am Heart Assoc 2024; 13:e032918. [PMID: 38456410 PMCID: PMC11010036 DOI: 10.1161/jaha.123.032918] [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: 09/29/2023] [Accepted: 02/02/2024] [Indexed: 03/09/2024]
Abstract
BACKGROUND Cardiovascular disease (CVD) is a leading cause of morbidity and mortality in American Indian people. In 2022, the American Heart Association developed the Life's Essential 8 goals to promote cardiovascular health (CVH) for Americans, composed of diet, physical activity, nicotine exposure, sleep, body mass index, blood lipids, blood pressure, and blood glucose. We examined whether achievement of Life's Essential 8 goals was associated with incident CVD among SHFS (Strong Heart Family Study) participants. METHODS AND RESULTS A total of 2139 SHFS participants without CVD at baseline were included in analyses. We created a composite CVH score based on achievement of Life's Essential 8 goals, excluding sleep. Scores of 0 to 49 represented low CVH, 50 to 69 represented moderate CVH, and 70 to 100 represented high CVH. Incident CVD was defined as incident myocardial infarction, coronary heart disease, congestive heart failure, or stroke. Cox proportional hazard models were used to examine the relationship of CVH and incident CVD. The incidence rate of CVD at the 20-year follow-up was 7.43 per 1000 person-years. Compared with participants with low CVH, participants with moderate and high CVH had a lower risk of incident CVD; the hazard ratios and 95% CIs for incident CVD for moderate and high CVH were 0.52 (95% CI, 0.40-0.68) and 0.25 (95% CI, 0.14-0.44), respectively, after adjustment for age, sex, education, and study site. CONCLUSIONS Better CVH was associated with lower CVD risk which highlights the need for comprehensive public health interventions targeting CVH promotion to reduce CVD risk in American Indian communities.
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Affiliation(s)
| | | | | | | | | | | | - Ying Zhang
- University of Oklahoma Health Sciences CenterOklahoma CityOK
| | - Tauqeer Ali
- University of Oklahoma Health Sciences CenterOklahoma CityOK
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Howard G, Cushman M, Blair J, Wilson NR, Yuan Y, Safford MM, Levitan EB, Judd SE, Howard VJ. Comparative Discrimination of Life's Simple 7 and Life's Essential 8 to Stratify Cardiovascular Risk: Is the Added Complexity Worth It? Circulation 2024; 149:905-913. [PMID: 37830200 PMCID: PMC10948319 DOI: 10.1161/circulationaha.123.065472] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/09/2023] [Accepted: 09/19/2023] [Indexed: 10/14/2023]
Abstract
BACKGROUND Life's Simple 7 (LS7) is an easily calculated and interpreted metric of cardiovascular health based on 7 domains: smoking, diet, physical activity, body mass index, blood pressure, cholesterol, and fasting glucose. The Life's Essential 8 (LE8) metric was subsequently introduced, adding sleep metrics and revisions of the previous 7 domains. Although calculating LE8 requires additional information, we hypothesized that it would be a more reliable index of cardiovascular health. METHODS Both the LS7 and LE8 metrics yield scores with higher values indicating lower risk. These were calculated among 11 609 Black and White participants free of baseline cardiovascular disease (CVD) in the Reasons for Geographic and Racial Differences in Stroke study, enrolled in 2003 to 2007, and followed for a median of 13 years. Differences in 10-year risk of incident CVD (coronary heart disease or stroke) were calculated as a function LS7, and LE8 scores were calculated using Kaplan-Meier and proportional hazards analyses. Differences in incident CVD discrimination were quantified by difference in the c-statistic. RESULTS For both LS7 and LE8, the 10-year risk was approximately 5% for participants around the 99th percentile of scores, and a 4× higher 20% risk for participants around the first percentile. Comparing LS7 to LE8, 10-year risk was nearly identical for individuals at the same relative position in score distribution. For example, the "cluster" of 2013 participants with an LS7 score of 7 was at the 35.8th percentile in distribution of LS7 scores, and had an estimated 10-year CVD risk of 8.4% (95% CI, 7.2%-9.8%). In a similar location in the LE8 distribution, the 1457 participants with an LE8 score of 60±2.5 at the 39.4th percentile of LE8 scores had a 10-year risk of CVD of 8.5% (95% CI, 7.1%-10.1%), similar to the cluster defined by LS7. The age-race-sex adjusted c-statistic of the LS7 model was 0.691 (95% CI, 0.667-0.705), and 0.695 for LE8 (95% CI, 0.681-0.709) (P for difference, 0.12). CONCLUSIONS Both LS7 and LE8 were associated with incident CVD, with discrimination of the 2 indices practically indistinguishable. As a simpler metric, LS7 may be favored for use by the general population and clinicians.
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Affiliation(s)
- George Howard
- Department of Biostatistics, University of Alabama at Birmingham (UAB) School of Public Health, Birmingham, AL
| | - Mary Cushman
- Department of Medicine, University of Vermont Larner College of Medicine, Burlington, VT
| | - Jessica Blair
- Department of Biostatistics, University of Alabama at Birmingham (UAB) School of Public Health, Birmingham, AL
| | - Nicole R. Wilson
- Department of Biostatistics, University of Alabama at Birmingham (UAB) School of Public Health, Birmingham, AL
| | - Ya Yuan
- Department of Biostatistics, University of Alabama at Birmingham (UAB) School of Public Health, Birmingham, AL
| | - Monika M. Safford
- Department of Internal Medicine, Weill Cornell Medical Center, New York, NY
| | - Emily B. Levitan
- Department of Epidemiology, UAB School of Public Health, Birmingham, AL
| | - Suzanne E. Judd
- Department of Biostatistics, University of Alabama at Birmingham (UAB) School of Public Health, Birmingham, AL
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Alizadeh F, Tohidi M, Hasheminia M, Hosseini-Esfahani F, Azizi F, Hadaegh F. Association of ideal cardiovascular health metrics with incident low estimated glomerular filtration rate: More than a decade follow-up in the Tehran Lipid and Glucose Study (TLGS). PLoS One 2024; 19:e0282773. [PMID: 38300917 PMCID: PMC10833558 DOI: 10.1371/journal.pone.0282773] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2022] [Accepted: 02/18/2023] [Indexed: 02/03/2024] Open
Abstract
AIMS To evaluate the association between ideal cardiovascular health metrics (ICVHM) and incident low estimated glomerular filtration rate (eGFR) among the Iranian population. METHODS The study population included 6927 Iranian adults aged 20-65 years (2942 male) without prevalent low eGFR [i.e., eGFR < 60 ml/min/1.73 m2] and free of cardiovascular disease. The ICVHM was defined according to the 2010 American Heart Association. The multivariable Cox proportional hazards regression analysis was used to calculate the hazard ratios (HRs) of ICVHM both as continuous and categorical variables. RESULTS Over the median of 12.1 years of follow-up, we found 1259 incident cases of low eGFR among the study population. In this population, ideal and intermediate categories of body mass index (BMI) and blood pressure (BP) and only the ideal category of fasting plasma glucose (FPG) significantly decreased the risk of developing low eGFR; the corresponding HRs and (95% confidence intervals) were (0.87, 0.77-0.99), (0.84, 0.76-0.99), (0.79, 0.68-0.93), (0.70, 0.60-0.83) and (0.76, 0.64-0.91). Also, one additional ICVHM was associated with a reduced risk of low eGFR for the global (0.92, 0.88-0.97) and biological cardiovascular health (0.88, 0.82-0.93) in these participants. A sensitivity analysis using the interval-censoring approach demonstrated that our method is robust, and results remained essentially unchanged. In a subgroup population with dietary data (n = 2285), we did not find the beneficial impact of having intermediate/ideal categories of nutrition status compared to its poor one on incident low eGFR. CONCLUSION We found a strong inverse association between having higher global ICVHM with incident low eGFR among the non-elderly Iranian population; the issue is mainly attributable to normal BP, BMI, and FPG levels.
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Affiliation(s)
- Fatemeh Alizadeh
- Prevention of Metabolic Disorders Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Maryam Tohidi
- Prevention of Metabolic Disorders Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Mitra Hasheminia
- Prevention of Metabolic Disorders Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Firoozeh Hosseini-Esfahani
- Nutrition and Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Fereidoun Azizi
- Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Farzad Hadaegh
- Prevention of Metabolic Disorders Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
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12
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Ning N, Zhang Y, Liu Q, Zhou W, He Y, Liu Y, Jin L, Ma Y. American Heart Association's new 'Life's Essential 8' score in association with cardiovascular disease: a national cross-sectional analysis. Public Health 2023; 225:336-342. [PMID: 37976656 DOI: 10.1016/j.puhe.2023.10.027] [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: 06/11/2023] [Revised: 09/19/2023] [Accepted: 10/12/2023] [Indexed: 11/19/2023]
Abstract
OBJECTIVE The American Heart Association (AHA) has recently updated and enhanced the quantification of cardiovascular health by using the Life's Essential 8 (LE8) score. We intended to examine the correlation between cardiovascular health status, as measured by the new LE8 score, and cardiovascular disease (CVD) in US adults. STUDY DESIGN National cross-sectional study. METHODS A total of 24,730 individuals without pregnancy and with complete data from 2007 to 2018 enrolled in the study. The overall LE8 score was divided into low, moderate, and high groups. Multivariate logistic regressions were used to assess the odds ratios (ORs) and 95% confidence intervals (CIs) for the associations between the LE8 score and the presence of CVD. RESULTS Overall, the high LE8 group had a younger age (20-59 years, 82.95%) and more females (60.09%) compared to the low LE8 group. Moderate and high LE8 correlated negatively with the presence of CVD (moderate, OR: 0.46, 95% CI: 0.39-0.54; high, OR: 0.26, 95% CI: 0.21-0.33). One standard deviation increment in the LE8 score correlated significantly with lower odds of CVD (OR: 0.64; 95% CI: 0.60-0.69). Further stratification analysis also detected a significant relationship between the new LE8 score and CVD, and the result was enhanced among the young and women (P-interaction<0.001). CONCLUSIONS Higher LE8 score correlated with lower odds of CVD, especially among the young and women.
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Affiliation(s)
- N Ning
- Department of Biostatistics and Epidemiology, School of Public Health, China Medical University, No. 77 Puhe Road, Shenyang North New Area, Shenyang, 110122, Liaoning Province, PR China.
| | - Y Zhang
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, No.1163 Xinmin Street, Changchun, Jilin, 130021, China.
| | - Q Liu
- Department of Biostatistics and Epidemiology, School of Public Health, China Medical University, No. 77 Puhe Road, Shenyang North New Area, Shenyang, 110122, Liaoning Province, PR China.
| | - W Zhou
- Department of Biostatistics and Epidemiology, School of Public Health, China Medical University, No. 77 Puhe Road, Shenyang North New Area, Shenyang, 110122, Liaoning Province, PR China.
| | - Y He
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, No.1163 Xinmin Street, Changchun, Jilin, 130021, China.
| | - Y Liu
- Department of Biostatistics and Epidemiology, School of Public Health, China Medical University, No. 77 Puhe Road, Shenyang North New Area, Shenyang, 110122, Liaoning Province, PR China.
| | - L Jin
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, No.1163 Xinmin Street, Changchun, Jilin, 130021, China.
| | - Y Ma
- Department of Biostatistics and Epidemiology, School of Public Health, China Medical University, No. 77 Puhe Road, Shenyang North New Area, Shenyang, 110122, Liaoning Province, PR China.
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Zhang Y, Ning N, Fan X, Huang R, Ye Y, He Y, Ma Y, Jin L. Age-dependent interaction between Life's Essential 8 and chronic kidney disease: A national cross-sectional analysis. Prev Med 2023; 177:107763. [PMID: 37939906 DOI: 10.1016/j.ypmed.2023.107763] [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: 07/23/2023] [Revised: 11/02/2023] [Accepted: 11/04/2023] [Indexed: 11/10/2023]
Abstract
OBJECTIVE Chronic kidney disease (CKD), an age-related condition, is closely associated with cardiovascular disease. We aimed to examine the age-dependent interaction between Life's Essential 8 (LE8), the updated measurement of cardiovascular health (CVH), and CKD in the United States. METHODS The cross-sectional study involved 25,529 participants from National Health and Nutrition Examination Survey in 2007-2018. Multivariate logistic regressions were used to estimate the age-dependent interaction between LE8 and CKD, and restricted cubic spline regressions were used to analyze the dose-response relationships between LE8 and CKD among adults and all age subgroups. RESULTS Overall, 2934 (9.3%), 17,278 (66.2%), and 5317 (24.5%) participants had low, moderate, and high CVH, separately. After adjusting for the potential covariates, LE8 was negatively associated with CKD [odds ratio (OR) for per 1 standard deviation (SD) increase and 95%CI, 0.71 (0.67, 0.75)], with a nonlinear dose-response relationship (P for nonlinearity = 0.001). The inversed association was stronger among participants aged 65 and older (0.65 (0.59, 0.71)) compared to youngers [20-39 years, 0.63 (0.59, 0.58), 40-64 years, 0.63 (0.59, 0.58)] (P for interaction = 0.002). CONCLUSIONS CVH, as measured by the LE8 score, was negatively associated with the presence of CKD in non-linear fashions, more pronounced in participants aged 65 and older compared to younger age groups.
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Affiliation(s)
- Yuan Zhang
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Jilin, Changchun, China.
| | - Ning Ning
- Department of Biostatistics and Epidemiology, School of Public Health, China Medical University, Liaoning, Shenyang, China.
| | - Xiaoting Fan
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Jilin, Changchun, China.
| | - Rong Huang
- Department of Biostatistics and Epidemiology, School of Public Health, China Medical University, Liaoning, Shenyang, China.
| | - Yan Ye
- Department of Biostatistics and Epidemiology, School of Public Health, China Medical University, Liaoning, Shenyang, China.
| | - Yue He
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Jilin, Changchun, China.
| | - Yanan Ma
- Department of Biostatistics and Epidemiology, School of Public Health, China Medical University, Liaoning, Shenyang, China.
| | - Lina Jin
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Jilin, Changchun, China.
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14
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Wang J, Xing F, Sheng N, Xiang Z. Association between Life's simple 7 and rheumatoid arthritis in adult Americans: data from the National Health and nutrition examination survey. Front Public Health 2023; 11:1251002. [PMID: 38094235 PMCID: PMC10716198 DOI: 10.3389/fpubh.2023.1251002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2023] [Accepted: 11/06/2023] [Indexed: 12/18/2023] Open
Abstract
Objective The study aimed to investigate the relationship between Life's Simple 7 (LS7) and the risk of rheumatoid arthritis (RA) in adult Americans. Methods A total of 17,532 participants were included in this study. The association between LS7 and the risk of RA was assessed using a weighted logistic regression model, with odds ratios (ORs) and 95% confidence intervals (CIs) calculated. Moreover, the nonlinear relationship was further characterized through smooth curve fitting (SCF) and weighted generalized additive model (GAM) analysis. Results After adjusting for all covariates, the weighted logistic regression model demonstrated that the LS7 was negatively correlated with the risk of RA. Compared to quintile 1 of LS7, the OR between the risk of RA and quartile 4 of LS7 (LS7.Q4) was 0.261 (95% CI, 0.203, 0.337) in males under 50 years old, while in females of the same age group, the OR was 0.183 (95% CI, 0.142, 0.234). For females aged between 50 and 70 years old, the OR between the risk of RA and LS7.Q4 was 0.313 (95% CI, 0.264, 0.371). In females aged 70 years or older, the OR between the risk of RA and LS7.Q4 was 0.632 (95% CI, 0.486, 0.822). Conclusion This finding suggested the healthy lifestyle behaviors represented by LS7 have a negative association with RA. However, further prospective studies are needed to verify the causal relationship in the results.
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Affiliation(s)
| | | | | | - Zhou Xiang
- Department of Orthopaedics, Orthopaedic Research Institute, West China Hospital, Sichuan University, Chengdu, Sichuan, China
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15
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Ma E, Fukasawa M, Ohira T, Yasumura S, Suzuki T, Furuyama A, Kataoka M, Matsuzaki K, Sato M, Hosoya M. Lifestyle behaviour patterns in the prevention of type 2 diabetes mellitus: the Fukushima Health Database 2015-2020. Public Health 2023; 224:98-105. [PMID: 37742586 DOI: 10.1016/j.puhe.2023.08.026] [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: 06/06/2023] [Revised: 07/23/2023] [Accepted: 08/22/2023] [Indexed: 09/26/2023]
Abstract
OBJECTIVES Lifestyle behaviours associated with the incidence of type 2 diabetes mellitus (T2DM) need further clarification using health insurance data. STUDY DESIGN This is a cohort study. METHODS In 2015, 193,246 participants aged 40-74 years attended the specific health checkups and were observed up to 2020 in Fukushima, Japan. Using the principal component analysis, we identified two patterns from ten lifestyle behaviour questions, namely, the "diet-smoking" pattern (including smoking, alcohol drinking, skipping breakfast, eating fast, late dinner, and snacking) and the "physical activity-sleep" pattern (including physical exercise, walking equivalent activity, walking fast, and sufficient sleep). Then, individual pattern scores were calculated; the higher the scores, the healthier the behaviours. RESULTS The accumulative incidence rate of T2DM was 630.5 in men and 391.9 in women per 100,000 person-years in an average of 4 years of follow-up. Adjusted for the demographic and cardiometabolic factors at the baseline, the hazard ratio (95% confidence interval) of the highest versus lowest quartile scores of the "diet-smoking" pattern for T2DM risk was 0.82 (0.72, 0.92; P for trend = 0.002) in men and 0.87 (0.76, 1·00; P for trend = 0.034) in women; that of the "physical activity-sleep" pattern was 0.92 (0.82, 1·04; P for trend = 0.0996) in men and 0.92 (0.80, 1·06; P for trend = 0.372) in women. The "physical activity-sleep" pattern showed a significant inverse association in non-overweight men. CONCLUSIONS Lifestyle behaviour associated with a healthy diet and lack of smoking may significantly lower the risk of T2DM in middle-aged Japanese adults.
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Affiliation(s)
- E Ma
- Health Promotion Center, Fukushima Medical University, Fukushima 960-1295, Japan; Department of Epidemiology, Fukushima Medical University School of Medicine, Fukushima 960-1295, Japan.
| | - M Fukasawa
- Health Promotion Center, Fukushima Medical University, Fukushima 960-1295, Japan
| | - T Ohira
- Health Promotion Center, Fukushima Medical University, Fukushima 960-1295, Japan; Department of Epidemiology, Fukushima Medical University School of Medicine, Fukushima 960-1295, Japan; Radiation Medical Science Center for Fukushima Health Management Survey, Fukushima Medical University, Fukushima 960-1295, Japan
| | - S Yasumura
- Health Promotion Center, Fukushima Medical University, Fukushima 960-1295, Japan; Radiation Medical Science Center for Fukushima Health Management Survey, Fukushima Medical University, Fukushima 960-1295, Japan; Department of Public Health, Fukushima Medical University School of Medicine, Fukushima 960-1295, Japan
| | - T Suzuki
- Health Promotion Center, Fukushima Medical University, Fukushima 960-1295, Japan; Department of Computer Science and Engineering, The University of Aizu, Fukushima 965-8580, Japan
| | - A Furuyama
- Health Promotion Center, Fukushima Medical University, Fukushima 960-1295, Japan
| | - M Kataoka
- Health Promotion Center, Fukushima Medical University, Fukushima 960-1295, Japan; Department of Epidemiology, Fukushima Medical University School of Medicine, Fukushima 960-1295, Japan
| | - K Matsuzaki
- Health Promotion Center, Fukushima Medical University, Fukushima 960-1295, Japan
| | - M Sato
- Health Promotion Center, Fukushima Medical University, Fukushima 960-1295, Japan
| | - M Hosoya
- Health Promotion Center, Fukushima Medical University, Fukushima 960-1295, Japan; Radiation Medical Science Center for Fukushima Health Management Survey, Fukushima Medical University, Fukushima 960-1295, Japan; Department of Pediatrics, Fukushima Medical University School of Medicine, Fukushima 960-1295, Japan
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Badrooj N, Jayedi A, Shab-Bidar S. Ideal cardiovascular health metrics and risk of type 2 diabetes: A systematic review and dose-response meta-analysis of prospective cohort studies. Nutr Metab Cardiovasc Dis 2023; 33:2067-2075. [PMID: 37563068 DOI: 10.1016/j.numecd.2023.07.004] [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: 02/07/2023] [Revised: 05/03/2023] [Accepted: 07/04/2023] [Indexed: 08/12/2023]
Abstract
BACKGROUND AND AIMS Studies suggest a potential link between ideal cardiovascular health (CVH) and the risk of type 2 diabetes (T2D). However, systematic reviews are lacking to pool these data and present a balanced review about this association. METHODS AND RESULTS We performed a systematic search of PubMed/Medline, Web of Sciences, and Scopus from inception until November 2022 to search for prospective observational studies assessing the link between ideal CVH metrics, as introduced by the American Heart Association, and the risk of T2D in adults. Nine cohort studies with 78,912 participants and 6242 cases of T2D were included. The pooled relative risk of T2D for the highest versus the lowest category of ideal CVH metrics was 0.36 (95% confidence interval [CI]: 0.25, 0.47; risk difference: 5 fewer per 100 patients, 95% CI: 6 fewer, 4 fewer; Grading of Recommendations Assessment, Development and Evaluation certainty = high). Each unit increase in the components of the ideal CVH metrics was associated with a 20% lower risk of T2D. Dose-response meta-analysis indicated a monotonic inverse association between ideal CVH metrics and the risk of T2D. Results from analysis of individual components showed that having a normal weight, adopting a healthy diet, and having normal blood pressure levels were associated with a reduced risk of T2D. CONCLUSIONS Having an ideal CVH profile and a unit increase in any CVH metric are inversely associated with the risk of T2D. SYSTEMATIC REVIEW REGISTRATION PROSPERO CRD42022376934.
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Affiliation(s)
- Negin Badrooj
- Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences, Tehran, Iran
| | - Ahmad Jayedi
- Social Determinants of Health Research Center, Semnan University of Medical Sciences, Semnan, Iran
| | - Sakineh Shab-Bidar
- Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences, Tehran, Iran.
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Mokiao RH, Fretts AM, Deen JF, Umans JG. Diet Quality and Kidney Outcomes in Adolescent and Adult American Indians: the Strong Heart Family Study. J Racial Ethn Health Disparities 2023:10.1007/s40615-023-01735-x. [PMID: 37526878 DOI: 10.1007/s40615-023-01735-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2023] [Revised: 07/17/2023] [Accepted: 07/21/2023] [Indexed: 08/02/2023]
Abstract
BACKGROUND The burden of kidney disease is exceedingly high among American Indians (AIs). We sought to examine the relationship of diet quality, a modifiable risk factor, and kidney outcomes in AI adolescents and adults, hypothesizing that healthier diets are associated with lower odds of incident albuminuria and eGFR decline. METHODS This is an analysis from the Strong Heart Family Study, a longitudinal study of cardiovascular disease and its risk factors among AIs from Arizona, North and South Dakota, and Oklahoma (n = 1720, mean age 39 + / - 16 years, 16% adolescents at baseline). Participants completed two exams (baseline: 2001-2003; follow-up: 2007-2009). The primary exposure was diet quality, expressed as the Alternative Healthy Eating Index 2010 (AHEI), on a 110-point scale (assessed using a 119-item Block food frequency questionnaire). The primary outcomes were as follows: 1) incident albuminuria (albumin to creatinine ratio 30 mg/g or greater); and 2) eGFR decline of 30% or greater. Generalized estimating equations were used to examine the association of AHEI (in quartiles) with outcomes. RESULTS Ten percent of participants (6% of adolescents) had incident albuminuria and 2% of participants (2% of adolescents) had eGFR decline. For those with normal fasting glucose levels, the odds ratio (OR) for incident albuminuria comparing extreme quartiles of diet quality (least healthy [reference] versus healthiest quartiles) was 0.48 (95% CI 0.28, 0.81) after adjustment for demographics and comorbidities. CONCLUSIONS For American Indians with normal fasting glucose, higher diet quality decreases the odds of developing albuminuria. These findings inform future efforts to prevent CKD in American Indian adolescents and young adults.
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Affiliation(s)
- Reya H Mokiao
- Seattle Children's Hospital, 4800 Sandpoint Way NE, Seattle, WA, 98105, USA.
- University of Washington, Seattle, WA, USA.
| | | | - Jason F Deen
- Seattle Children's Hospital, 4800 Sandpoint Way NE, Seattle, WA, 98105, USA
- University of Washington, Seattle, WA, USA
| | - Jason G Umans
- MedStar Health Research Institute, Hyattsville, MD, USA
- Georgetown University, Washington, DC, USA
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Zheng Y, Huang T, Guasch-Ferre M, Hart J, Laden F, Chavarro J, Rimm E, Coull B, Hu H. Estimation of life's essential 8 score with incomplete data of individual metrics. Front Cardiovasc Med 2023; 10:1216693. [PMID: 37564908 PMCID: PMC10410141 DOI: 10.3389/fcvm.2023.1216693] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2023] [Accepted: 07/14/2023] [Indexed: 08/12/2023] Open
Abstract
Background The American Heart Association's Life's Essential 8 (LE8) is an updated construct of cardiovascular health (CVH), including blood pressure, lipids, glucose, body mass index, nicotine exposure, diet, physical activity, and sleep health. It is challenging to simultaneously measure all eight metrics at multiple time points in most research and clinical settings, hindering the use of LE8 to assess individuals' overall CVH trajectories over time. Materials and methods We obtained data from 5,588 participants in the Nurses' Health Studies (NHS, NHSII) and Health Professionaĺs Follow-up Study (HPFS), and 27,194 participants in the 2005-2016 National Health and Nutrition Examination Survey (NHANES) with all eight metrics available. Individuals' overall cardiovascular health (CVH) was determined by LE8 score (0-100). CVH-related factors that are routinely collected in many settings (i.e., demographics, BMI, smoking, hypertension, hypercholesterolemia, and diabetes) were included as predictors in the base models of LE8 score, and subsequent models further included less frequently measured factors (i.e., physical activity, diet, blood pressure, and sleep health). Gradient boosting decision trees were trained with hyper-parameters tuned by cross-validations. Results The base models trained using NHS, NHSII, and HPFS had validated root mean squared errors (RMSEs) of 8.06 (internal) and 16.72 (external). Models with additional predictors further improved performance. Consistent results were observed in models trained using NHANES. The predicted CVH scores can generate consistent effect estimates in associational studies as the observed CVH scores. Conclusions CVH-related factors routinely measured in many settings can be used to accurately estimate individuals' overall CVH when LE8 metrics are incomplete.
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Affiliation(s)
- Yi Zheng
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, United States
| | - Tianyi Huang
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, United States
- Division of Sleep Medicine, Harvard Medical School, Boston, MA, United States
| | - Marta Guasch-Ferre
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, United States
- Section of Epidemiology, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
- Center for Basic Metabolic Research, Novo Nordisk Foundation, Copenhagen, Denmark
| | - Jaime Hart
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, United States
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, United States
| | - Francine Laden
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, United States
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, United States
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, United States
| | - Jorge Chavarro
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, United States
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, United States
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, United States
| | - Eric Rimm
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, United States
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, United States
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, United States
| | - Brent Coull
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, United States
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, United States
| | - Hui Hu
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, United States
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van Sloten TT, Climie RED, Deraz O, Périer MC, Valentin E, Fayosse A, Sabia S, Weiderpass E, Jouven X, Goldberg M, Zins M, Touvier M, Deschasaux-Tanguy M, Fezeu L, Hercberg S, Singh-Manoux A, Empana JP. Is the number of ideal cardiovascular health metrics in midlife associated with lower risk of cancer? Evidence from 3 European prospective cohorts. CMAJ Open 2023; 11:E774-E781. [PMID: 37607746 PMCID: PMC10449017 DOI: 10.9778/cmajo.20220175] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 08/24/2023] Open
Abstract
BACKGROUND Primordial prevention may be a relevant strategy for the prevention of cancer. Given the commonality of risk factors and mechanisms between cancer and cardiovascular disease, we examined the associations between the number of ideal cardiovascular health metrics in midlife and incident cancer. METHODS In 3 European cohorts (NutriNet-Santé and GAZEL, France; Whitehall II, United Kingdom), the number of ideal cardiovascular health metrics was determined at baseline (range 0-7). Follow-up for cancer events was until October 2020 (NutriNet-Santé), March 2017 (Whitehall II) and December 2015 (GAZEL). Cox regression was conducted in each cohort, and results were thereafter pooled using a random-effects model. RESULTS Data were available on 39 718 participants. A total of 16 237 were from NutriNet-Santé (mean age 51.3 yr; 28% men), 9418 were from Whitehall II (mean age 44.8 yr; 68% men) and 14 063 were from GAZEL (mean age 45.2 yr; 75% men). The median follow-up was 8.1 years in NutriNet-Santé, 29.6 years in Whitehall II and 24.8 years in GAZEL, and yielded a total of 4889 cancer events. A greater number of ideal cardiovascular health metrics was associated with a lower overall cancer risk in each cohort, with an aggregate hazard ratio (HR) per 1 increment in number of ideal metrics of 0.91 (95% confidence interval [CI] 0.88-0.93). This association remained after removal of the smoking metric (aggregate HR per unit increment in number of ideal metrics: 0.94, 95% CI 0.90-0.97), and site-specific analysis demonstrated a significant association with lung cancer. INTERPRETATION A greater number of ideal cardiovascular health metrics in midlife was associated with lower cancer risk, notably lung cancer. Primordial prevention of cardiovascular risk factors in midlife may be a complementary strategy to prevent the onset of cancer.
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Affiliation(s)
- Thomas T van Sloten
- Paris Cardiovascular Research Center, Integrative Epidemiology of Cardiovascular Disease (Team 4), Institut national de la santé et de la recherche médicale, (INSERM) Unité Mixte de Recherche (UMR) S970 (van Sloten, Deraz, Périer, Valentin, Jouven, Empana), Université Paris Cité, Paris, France; Cardiovascular Research Institute Maastricht and Department of Internal Medicine (van Sloten), Maastricht University Medical Center, Maastricht, the Netherlands; Menzies Institute for Medical Research (Climie), University of Tasmania, Hobart, Australia; Baker Heart and Diabetes Institute (Climie), Melbourne, Australia; Centre for Research in Epidemiology and Statistics, INSERM, UMR 1153 (Fayosse, Sabia, Singh-Manoux), Université Paris Cité, Paris, France; Department of Epidemiology and Public Health (Sabia, Singh-Manoux), University College London, London, UK; International Agency for Research in Cancer (Weiderpass), Lyon, France; Population-based Cohorts Unit (Goldberg, Zins), INSERM, Unité Mixte de Service (UMS) 011, Université Paris Cité, Paris Saclay University, Université de Versailles Saint-Quentin-en-Yvelines, Paris, France; Sorbonne Paris Nord University (Touvier, Deschasaux-Tanguy, Fezeu, Hercberg), INSERM, UMR 1153, Institut national de la recherche agronomique (INRAE) U1125, National Conservatory of Arts and Crafts, Nutritional Epidemiology Research Team, Epidemiology and Statistics Research Center - University of Paris, Bobigny, France
| | - Rachel E D Climie
- Paris Cardiovascular Research Center, Integrative Epidemiology of Cardiovascular Disease (Team 4), Institut national de la santé et de la recherche médicale, (INSERM) Unité Mixte de Recherche (UMR) S970 (van Sloten, Deraz, Périer, Valentin, Jouven, Empana), Université Paris Cité, Paris, France; Cardiovascular Research Institute Maastricht and Department of Internal Medicine (van Sloten), Maastricht University Medical Center, Maastricht, the Netherlands; Menzies Institute for Medical Research (Climie), University of Tasmania, Hobart, Australia; Baker Heart and Diabetes Institute (Climie), Melbourne, Australia; Centre for Research in Epidemiology and Statistics, INSERM, UMR 1153 (Fayosse, Sabia, Singh-Manoux), Université Paris Cité, Paris, France; Department of Epidemiology and Public Health (Sabia, Singh-Manoux), University College London, London, UK; International Agency for Research in Cancer (Weiderpass), Lyon, France; Population-based Cohorts Unit (Goldberg, Zins), INSERM, Unité Mixte de Service (UMS) 011, Université Paris Cité, Paris Saclay University, Université de Versailles Saint-Quentin-en-Yvelines, Paris, France; Sorbonne Paris Nord University (Touvier, Deschasaux-Tanguy, Fezeu, Hercberg), INSERM, UMR 1153, Institut national de la recherche agronomique (INRAE) U1125, National Conservatory of Arts and Crafts, Nutritional Epidemiology Research Team, Epidemiology and Statistics Research Center - University of Paris, Bobigny, France
| | - Omar Deraz
- Paris Cardiovascular Research Center, Integrative Epidemiology of Cardiovascular Disease (Team 4), Institut national de la santé et de la recherche médicale, (INSERM) Unité Mixte de Recherche (UMR) S970 (van Sloten, Deraz, Périer, Valentin, Jouven, Empana), Université Paris Cité, Paris, France; Cardiovascular Research Institute Maastricht and Department of Internal Medicine (van Sloten), Maastricht University Medical Center, Maastricht, the Netherlands; Menzies Institute for Medical Research (Climie), University of Tasmania, Hobart, Australia; Baker Heart and Diabetes Institute (Climie), Melbourne, Australia; Centre for Research in Epidemiology and Statistics, INSERM, UMR 1153 (Fayosse, Sabia, Singh-Manoux), Université Paris Cité, Paris, France; Department of Epidemiology and Public Health (Sabia, Singh-Manoux), University College London, London, UK; International Agency for Research in Cancer (Weiderpass), Lyon, France; Population-based Cohorts Unit (Goldberg, Zins), INSERM, Unité Mixte de Service (UMS) 011, Université Paris Cité, Paris Saclay University, Université de Versailles Saint-Quentin-en-Yvelines, Paris, France; Sorbonne Paris Nord University (Touvier, Deschasaux-Tanguy, Fezeu, Hercberg), INSERM, UMR 1153, Institut national de la recherche agronomique (INRAE) U1125, National Conservatory of Arts and Crafts, Nutritional Epidemiology Research Team, Epidemiology and Statistics Research Center - University of Paris, Bobigny, France
| | - Marie-Cécile Périer
- Paris Cardiovascular Research Center, Integrative Epidemiology of Cardiovascular Disease (Team 4), Institut national de la santé et de la recherche médicale, (INSERM) Unité Mixte de Recherche (UMR) S970 (van Sloten, Deraz, Périer, Valentin, Jouven, Empana), Université Paris Cité, Paris, France; Cardiovascular Research Institute Maastricht and Department of Internal Medicine (van Sloten), Maastricht University Medical Center, Maastricht, the Netherlands; Menzies Institute for Medical Research (Climie), University of Tasmania, Hobart, Australia; Baker Heart and Diabetes Institute (Climie), Melbourne, Australia; Centre for Research in Epidemiology and Statistics, INSERM, UMR 1153 (Fayosse, Sabia, Singh-Manoux), Université Paris Cité, Paris, France; Department of Epidemiology and Public Health (Sabia, Singh-Manoux), University College London, London, UK; International Agency for Research in Cancer (Weiderpass), Lyon, France; Population-based Cohorts Unit (Goldberg, Zins), INSERM, Unité Mixte de Service (UMS) 011, Université Paris Cité, Paris Saclay University, Université de Versailles Saint-Quentin-en-Yvelines, Paris, France; Sorbonne Paris Nord University (Touvier, Deschasaux-Tanguy, Fezeu, Hercberg), INSERM, UMR 1153, Institut national de la recherche agronomique (INRAE) U1125, National Conservatory of Arts and Crafts, Nutritional Epidemiology Research Team, Epidemiology and Statistics Research Center - University of Paris, Bobigny, France
| | - Eugenie Valentin
- Paris Cardiovascular Research Center, Integrative Epidemiology of Cardiovascular Disease (Team 4), Institut national de la santé et de la recherche médicale, (INSERM) Unité Mixte de Recherche (UMR) S970 (van Sloten, Deraz, Périer, Valentin, Jouven, Empana), Université Paris Cité, Paris, France; Cardiovascular Research Institute Maastricht and Department of Internal Medicine (van Sloten), Maastricht University Medical Center, Maastricht, the Netherlands; Menzies Institute for Medical Research (Climie), University of Tasmania, Hobart, Australia; Baker Heart and Diabetes Institute (Climie), Melbourne, Australia; Centre for Research in Epidemiology and Statistics, INSERM, UMR 1153 (Fayosse, Sabia, Singh-Manoux), Université Paris Cité, Paris, France; Department of Epidemiology and Public Health (Sabia, Singh-Manoux), University College London, London, UK; International Agency for Research in Cancer (Weiderpass), Lyon, France; Population-based Cohorts Unit (Goldberg, Zins), INSERM, Unité Mixte de Service (UMS) 011, Université Paris Cité, Paris Saclay University, Université de Versailles Saint-Quentin-en-Yvelines, Paris, France; Sorbonne Paris Nord University (Touvier, Deschasaux-Tanguy, Fezeu, Hercberg), INSERM, UMR 1153, Institut national de la recherche agronomique (INRAE) U1125, National Conservatory of Arts and Crafts, Nutritional Epidemiology Research Team, Epidemiology and Statistics Research Center - University of Paris, Bobigny, France
| | - Aurore Fayosse
- Paris Cardiovascular Research Center, Integrative Epidemiology of Cardiovascular Disease (Team 4), Institut national de la santé et de la recherche médicale, (INSERM) Unité Mixte de Recherche (UMR) S970 (van Sloten, Deraz, Périer, Valentin, Jouven, Empana), Université Paris Cité, Paris, France; Cardiovascular Research Institute Maastricht and Department of Internal Medicine (van Sloten), Maastricht University Medical Center, Maastricht, the Netherlands; Menzies Institute for Medical Research (Climie), University of Tasmania, Hobart, Australia; Baker Heart and Diabetes Institute (Climie), Melbourne, Australia; Centre for Research in Epidemiology and Statistics, INSERM, UMR 1153 (Fayosse, Sabia, Singh-Manoux), Université Paris Cité, Paris, France; Department of Epidemiology and Public Health (Sabia, Singh-Manoux), University College London, London, UK; International Agency for Research in Cancer (Weiderpass), Lyon, France; Population-based Cohorts Unit (Goldberg, Zins), INSERM, Unité Mixte de Service (UMS) 011, Université Paris Cité, Paris Saclay University, Université de Versailles Saint-Quentin-en-Yvelines, Paris, France; Sorbonne Paris Nord University (Touvier, Deschasaux-Tanguy, Fezeu, Hercberg), INSERM, UMR 1153, Institut national de la recherche agronomique (INRAE) U1125, National Conservatory of Arts and Crafts, Nutritional Epidemiology Research Team, Epidemiology and Statistics Research Center - University of Paris, Bobigny, France
| | - Séverine Sabia
- Paris Cardiovascular Research Center, Integrative Epidemiology of Cardiovascular Disease (Team 4), Institut national de la santé et de la recherche médicale, (INSERM) Unité Mixte de Recherche (UMR) S970 (van Sloten, Deraz, Périer, Valentin, Jouven, Empana), Université Paris Cité, Paris, France; Cardiovascular Research Institute Maastricht and Department of Internal Medicine (van Sloten), Maastricht University Medical Center, Maastricht, the Netherlands; Menzies Institute for Medical Research (Climie), University of Tasmania, Hobart, Australia; Baker Heart and Diabetes Institute (Climie), Melbourne, Australia; Centre for Research in Epidemiology and Statistics, INSERM, UMR 1153 (Fayosse, Sabia, Singh-Manoux), Université Paris Cité, Paris, France; Department of Epidemiology and Public Health (Sabia, Singh-Manoux), University College London, London, UK; International Agency for Research in Cancer (Weiderpass), Lyon, France; Population-based Cohorts Unit (Goldberg, Zins), INSERM, Unité Mixte de Service (UMS) 011, Université Paris Cité, Paris Saclay University, Université de Versailles Saint-Quentin-en-Yvelines, Paris, France; Sorbonne Paris Nord University (Touvier, Deschasaux-Tanguy, Fezeu, Hercberg), INSERM, UMR 1153, Institut national de la recherche agronomique (INRAE) U1125, National Conservatory of Arts and Crafts, Nutritional Epidemiology Research Team, Epidemiology and Statistics Research Center - University of Paris, Bobigny, France
| | - Elisabete Weiderpass
- Paris Cardiovascular Research Center, Integrative Epidemiology of Cardiovascular Disease (Team 4), Institut national de la santé et de la recherche médicale, (INSERM) Unité Mixte de Recherche (UMR) S970 (van Sloten, Deraz, Périer, Valentin, Jouven, Empana), Université Paris Cité, Paris, France; Cardiovascular Research Institute Maastricht and Department of Internal Medicine (van Sloten), Maastricht University Medical Center, Maastricht, the Netherlands; Menzies Institute for Medical Research (Climie), University of Tasmania, Hobart, Australia; Baker Heart and Diabetes Institute (Climie), Melbourne, Australia; Centre for Research in Epidemiology and Statistics, INSERM, UMR 1153 (Fayosse, Sabia, Singh-Manoux), Université Paris Cité, Paris, France; Department of Epidemiology and Public Health (Sabia, Singh-Manoux), University College London, London, UK; International Agency for Research in Cancer (Weiderpass), Lyon, France; Population-based Cohorts Unit (Goldberg, Zins), INSERM, Unité Mixte de Service (UMS) 011, Université Paris Cité, Paris Saclay University, Université de Versailles Saint-Quentin-en-Yvelines, Paris, France; Sorbonne Paris Nord University (Touvier, Deschasaux-Tanguy, Fezeu, Hercberg), INSERM, UMR 1153, Institut national de la recherche agronomique (INRAE) U1125, National Conservatory of Arts and Crafts, Nutritional Epidemiology Research Team, Epidemiology and Statistics Research Center - University of Paris, Bobigny, France
| | - Xavier Jouven
- Paris Cardiovascular Research Center, Integrative Epidemiology of Cardiovascular Disease (Team 4), Institut national de la santé et de la recherche médicale, (INSERM) Unité Mixte de Recherche (UMR) S970 (van Sloten, Deraz, Périer, Valentin, Jouven, Empana), Université Paris Cité, Paris, France; Cardiovascular Research Institute Maastricht and Department of Internal Medicine (van Sloten), Maastricht University Medical Center, Maastricht, the Netherlands; Menzies Institute for Medical Research (Climie), University of Tasmania, Hobart, Australia; Baker Heart and Diabetes Institute (Climie), Melbourne, Australia; Centre for Research in Epidemiology and Statistics, INSERM, UMR 1153 (Fayosse, Sabia, Singh-Manoux), Université Paris Cité, Paris, France; Department of Epidemiology and Public Health (Sabia, Singh-Manoux), University College London, London, UK; International Agency for Research in Cancer (Weiderpass), Lyon, France; Population-based Cohorts Unit (Goldberg, Zins), INSERM, Unité Mixte de Service (UMS) 011, Université Paris Cité, Paris Saclay University, Université de Versailles Saint-Quentin-en-Yvelines, Paris, France; Sorbonne Paris Nord University (Touvier, Deschasaux-Tanguy, Fezeu, Hercberg), INSERM, UMR 1153, Institut national de la recherche agronomique (INRAE) U1125, National Conservatory of Arts and Crafts, Nutritional Epidemiology Research Team, Epidemiology and Statistics Research Center - University of Paris, Bobigny, France
| | - Marcel Goldberg
- Paris Cardiovascular Research Center, Integrative Epidemiology of Cardiovascular Disease (Team 4), Institut national de la santé et de la recherche médicale, (INSERM) Unité Mixte de Recherche (UMR) S970 (van Sloten, Deraz, Périer, Valentin, Jouven, Empana), Université Paris Cité, Paris, France; Cardiovascular Research Institute Maastricht and Department of Internal Medicine (van Sloten), Maastricht University Medical Center, Maastricht, the Netherlands; Menzies Institute for Medical Research (Climie), University of Tasmania, Hobart, Australia; Baker Heart and Diabetes Institute (Climie), Melbourne, Australia; Centre for Research in Epidemiology and Statistics, INSERM, UMR 1153 (Fayosse, Sabia, Singh-Manoux), Université Paris Cité, Paris, France; Department of Epidemiology and Public Health (Sabia, Singh-Manoux), University College London, London, UK; International Agency for Research in Cancer (Weiderpass), Lyon, France; Population-based Cohorts Unit (Goldberg, Zins), INSERM, Unité Mixte de Service (UMS) 011, Université Paris Cité, Paris Saclay University, Université de Versailles Saint-Quentin-en-Yvelines, Paris, France; Sorbonne Paris Nord University (Touvier, Deschasaux-Tanguy, Fezeu, Hercberg), INSERM, UMR 1153, Institut national de la recherche agronomique (INRAE) U1125, National Conservatory of Arts and Crafts, Nutritional Epidemiology Research Team, Epidemiology and Statistics Research Center - University of Paris, Bobigny, France
| | - Marie Zins
- Paris Cardiovascular Research Center, Integrative Epidemiology of Cardiovascular Disease (Team 4), Institut national de la santé et de la recherche médicale, (INSERM) Unité Mixte de Recherche (UMR) S970 (van Sloten, Deraz, Périer, Valentin, Jouven, Empana), Université Paris Cité, Paris, France; Cardiovascular Research Institute Maastricht and Department of Internal Medicine (van Sloten), Maastricht University Medical Center, Maastricht, the Netherlands; Menzies Institute for Medical Research (Climie), University of Tasmania, Hobart, Australia; Baker Heart and Diabetes Institute (Climie), Melbourne, Australia; Centre for Research in Epidemiology and Statistics, INSERM, UMR 1153 (Fayosse, Sabia, Singh-Manoux), Université Paris Cité, Paris, France; Department of Epidemiology and Public Health (Sabia, Singh-Manoux), University College London, London, UK; International Agency for Research in Cancer (Weiderpass), Lyon, France; Population-based Cohorts Unit (Goldberg, Zins), INSERM, Unité Mixte de Service (UMS) 011, Université Paris Cité, Paris Saclay University, Université de Versailles Saint-Quentin-en-Yvelines, Paris, France; Sorbonne Paris Nord University (Touvier, Deschasaux-Tanguy, Fezeu, Hercberg), INSERM, UMR 1153, Institut national de la recherche agronomique (INRAE) U1125, National Conservatory of Arts and Crafts, Nutritional Epidemiology Research Team, Epidemiology and Statistics Research Center - University of Paris, Bobigny, France
| | - Mathilde Touvier
- Paris Cardiovascular Research Center, Integrative Epidemiology of Cardiovascular Disease (Team 4), Institut national de la santé et de la recherche médicale, (INSERM) Unité Mixte de Recherche (UMR) S970 (van Sloten, Deraz, Périer, Valentin, Jouven, Empana), Université Paris Cité, Paris, France; Cardiovascular Research Institute Maastricht and Department of Internal Medicine (van Sloten), Maastricht University Medical Center, Maastricht, the Netherlands; Menzies Institute for Medical Research (Climie), University of Tasmania, Hobart, Australia; Baker Heart and Diabetes Institute (Climie), Melbourne, Australia; Centre for Research in Epidemiology and Statistics, INSERM, UMR 1153 (Fayosse, Sabia, Singh-Manoux), Université Paris Cité, Paris, France; Department of Epidemiology and Public Health (Sabia, Singh-Manoux), University College London, London, UK; International Agency for Research in Cancer (Weiderpass), Lyon, France; Population-based Cohorts Unit (Goldberg, Zins), INSERM, Unité Mixte de Service (UMS) 011, Université Paris Cité, Paris Saclay University, Université de Versailles Saint-Quentin-en-Yvelines, Paris, France; Sorbonne Paris Nord University (Touvier, Deschasaux-Tanguy, Fezeu, Hercberg), INSERM, UMR 1153, Institut national de la recherche agronomique (INRAE) U1125, National Conservatory of Arts and Crafts, Nutritional Epidemiology Research Team, Epidemiology and Statistics Research Center - University of Paris, Bobigny, France
| | - Mélanie Deschasaux-Tanguy
- Paris Cardiovascular Research Center, Integrative Epidemiology of Cardiovascular Disease (Team 4), Institut national de la santé et de la recherche médicale, (INSERM) Unité Mixte de Recherche (UMR) S970 (van Sloten, Deraz, Périer, Valentin, Jouven, Empana), Université Paris Cité, Paris, France; Cardiovascular Research Institute Maastricht and Department of Internal Medicine (van Sloten), Maastricht University Medical Center, Maastricht, the Netherlands; Menzies Institute for Medical Research (Climie), University of Tasmania, Hobart, Australia; Baker Heart and Diabetes Institute (Climie), Melbourne, Australia; Centre for Research in Epidemiology and Statistics, INSERM, UMR 1153 (Fayosse, Sabia, Singh-Manoux), Université Paris Cité, Paris, France; Department of Epidemiology and Public Health (Sabia, Singh-Manoux), University College London, London, UK; International Agency for Research in Cancer (Weiderpass), Lyon, France; Population-based Cohorts Unit (Goldberg, Zins), INSERM, Unité Mixte de Service (UMS) 011, Université Paris Cité, Paris Saclay University, Université de Versailles Saint-Quentin-en-Yvelines, Paris, France; Sorbonne Paris Nord University (Touvier, Deschasaux-Tanguy, Fezeu, Hercberg), INSERM, UMR 1153, Institut national de la recherche agronomique (INRAE) U1125, National Conservatory of Arts and Crafts, Nutritional Epidemiology Research Team, Epidemiology and Statistics Research Center - University of Paris, Bobigny, France
| | - Léopold Fezeu
- Paris Cardiovascular Research Center, Integrative Epidemiology of Cardiovascular Disease (Team 4), Institut national de la santé et de la recherche médicale, (INSERM) Unité Mixte de Recherche (UMR) S970 (van Sloten, Deraz, Périer, Valentin, Jouven, Empana), Université Paris Cité, Paris, France; Cardiovascular Research Institute Maastricht and Department of Internal Medicine (van Sloten), Maastricht University Medical Center, Maastricht, the Netherlands; Menzies Institute for Medical Research (Climie), University of Tasmania, Hobart, Australia; Baker Heart and Diabetes Institute (Climie), Melbourne, Australia; Centre for Research in Epidemiology and Statistics, INSERM, UMR 1153 (Fayosse, Sabia, Singh-Manoux), Université Paris Cité, Paris, France; Department of Epidemiology and Public Health (Sabia, Singh-Manoux), University College London, London, UK; International Agency for Research in Cancer (Weiderpass), Lyon, France; Population-based Cohorts Unit (Goldberg, Zins), INSERM, Unité Mixte de Service (UMS) 011, Université Paris Cité, Paris Saclay University, Université de Versailles Saint-Quentin-en-Yvelines, Paris, France; Sorbonne Paris Nord University (Touvier, Deschasaux-Tanguy, Fezeu, Hercberg), INSERM, UMR 1153, Institut national de la recherche agronomique (INRAE) U1125, National Conservatory of Arts and Crafts, Nutritional Epidemiology Research Team, Epidemiology and Statistics Research Center - University of Paris, Bobigny, France
| | - Serge Hercberg
- Paris Cardiovascular Research Center, Integrative Epidemiology of Cardiovascular Disease (Team 4), Institut national de la santé et de la recherche médicale, (INSERM) Unité Mixte de Recherche (UMR) S970 (van Sloten, Deraz, Périer, Valentin, Jouven, Empana), Université Paris Cité, Paris, France; Cardiovascular Research Institute Maastricht and Department of Internal Medicine (van Sloten), Maastricht University Medical Center, Maastricht, the Netherlands; Menzies Institute for Medical Research (Climie), University of Tasmania, Hobart, Australia; Baker Heart and Diabetes Institute (Climie), Melbourne, Australia; Centre for Research in Epidemiology and Statistics, INSERM, UMR 1153 (Fayosse, Sabia, Singh-Manoux), Université Paris Cité, Paris, France; Department of Epidemiology and Public Health (Sabia, Singh-Manoux), University College London, London, UK; International Agency for Research in Cancer (Weiderpass), Lyon, France; Population-based Cohorts Unit (Goldberg, Zins), INSERM, Unité Mixte de Service (UMS) 011, Université Paris Cité, Paris Saclay University, Université de Versailles Saint-Quentin-en-Yvelines, Paris, France; Sorbonne Paris Nord University (Touvier, Deschasaux-Tanguy, Fezeu, Hercberg), INSERM, UMR 1153, Institut national de la recherche agronomique (INRAE) U1125, National Conservatory of Arts and Crafts, Nutritional Epidemiology Research Team, Epidemiology and Statistics Research Center - University of Paris, Bobigny, France
| | - Archana Singh-Manoux
- Paris Cardiovascular Research Center, Integrative Epidemiology of Cardiovascular Disease (Team 4), Institut national de la santé et de la recherche médicale, (INSERM) Unité Mixte de Recherche (UMR) S970 (van Sloten, Deraz, Périer, Valentin, Jouven, Empana), Université Paris Cité, Paris, France; Cardiovascular Research Institute Maastricht and Department of Internal Medicine (van Sloten), Maastricht University Medical Center, Maastricht, the Netherlands; Menzies Institute for Medical Research (Climie), University of Tasmania, Hobart, Australia; Baker Heart and Diabetes Institute (Climie), Melbourne, Australia; Centre for Research in Epidemiology and Statistics, INSERM, UMR 1153 (Fayosse, Sabia, Singh-Manoux), Université Paris Cité, Paris, France; Department of Epidemiology and Public Health (Sabia, Singh-Manoux), University College London, London, UK; International Agency for Research in Cancer (Weiderpass), Lyon, France; Population-based Cohorts Unit (Goldberg, Zins), INSERM, Unité Mixte de Service (UMS) 011, Université Paris Cité, Paris Saclay University, Université de Versailles Saint-Quentin-en-Yvelines, Paris, France; Sorbonne Paris Nord University (Touvier, Deschasaux-Tanguy, Fezeu, Hercberg), INSERM, UMR 1153, Institut national de la recherche agronomique (INRAE) U1125, National Conservatory of Arts and Crafts, Nutritional Epidemiology Research Team, Epidemiology and Statistics Research Center - University of Paris, Bobigny, France
| | - Jean-Philippe Empana
- Paris Cardiovascular Research Center, Integrative Epidemiology of Cardiovascular Disease (Team 4), Institut national de la santé et de la recherche médicale, (INSERM) Unité Mixte de Recherche (UMR) S970 (van Sloten, Deraz, Périer, Valentin, Jouven, Empana), Université Paris Cité, Paris, France; Cardiovascular Research Institute Maastricht and Department of Internal Medicine (van Sloten), Maastricht University Medical Center, Maastricht, the Netherlands; Menzies Institute for Medical Research (Climie), University of Tasmania, Hobart, Australia; Baker Heart and Diabetes Institute (Climie), Melbourne, Australia; Centre for Research in Epidemiology and Statistics, INSERM, UMR 1153 (Fayosse, Sabia, Singh-Manoux), Université Paris Cité, Paris, France; Department of Epidemiology and Public Health (Sabia, Singh-Manoux), University College London, London, UK; International Agency for Research in Cancer (Weiderpass), Lyon, France; Population-based Cohorts Unit (Goldberg, Zins), INSERM, Unité Mixte de Service (UMS) 011, Université Paris Cité, Paris Saclay University, Université de Versailles Saint-Quentin-en-Yvelines, Paris, France; Sorbonne Paris Nord University (Touvier, Deschasaux-Tanguy, Fezeu, Hercberg), INSERM, UMR 1153, Institut national de la recherche agronomique (INRAE) U1125, National Conservatory of Arts and Crafts, Nutritional Epidemiology Research Team, Epidemiology and Statistics Research Center - University of Paris, Bobigny, France
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Hayes JF, LaRose JG, Gorin AA, Lewis CE, Bahnson J, Phelan S, Wing RR. Weight gain prevention interventions in the Study of Novel Approaches to Weight Gain Prevention (SNAP) trial promote ideal cardiovascular health in young adults. Obesity (Silver Spring) 2023; 31:1530-1537. [PMID: 37157110 PMCID: PMC10249584 DOI: 10.1002/oby.23753] [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: 06/08/2022] [Revised: 01/27/2023] [Accepted: 02/05/2023] [Indexed: 05/10/2023]
Abstract
OBJECTIVE Cardiovascular health (CVH) declines in young adulthood. This study assessed whether weight gain prevention interventions promoted ideal CVH. METHODS Young adults (n = 599; age 18-35 years; BMI: 21.0-30.9 kg/m2 ) from a randomized controlled trial comparing two weight gain prevention interventions (self-regulation with large or small changes) and a self-guided control group completed anthropometric and clinical assessments at baseline and 2 years. CVH was quantified via the American Heart Association's Life's Simple 7 (LS7) number of ideal components met. RESULTS Both interventions showed significant improvements in the average number of ideal LS7 components met at 2 years compared with control (pre- to post-treatment means; large change: 0.24, small change: 0.34, control: -0.2, p < 0.05). Moreover, a greater percentage of participants in both interventions improved by ≥1 ideal component (large change: 35%, small change: 37%, control: 29%) and a smaller percentage declined by ≥1 ideal component (large change: 16%, small change: 20%, control: 30%) compared with control. For individual LS7 components, the odds of having an ideal BMI and glucose varied by treatment condition at 2 years. CONCLUSIONS Two weight gain prevention interventions led to improvements in ideal CVH at 2 years. Interventions explicitly focused on a broader constellation of LS7 domains might lead to even greater changes in CVH.
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Affiliation(s)
- Jacqueline F. Hayes
- Alpert Medical School of Brown University, Miriam Hospital, Providence, Rhode Island
| | - Jessica Gokee LaRose
- Department of Health Behavior and Policy, Virginia Commonwealth University School of Medicine, Richmond, Virginia
| | - Amy A. Gorin
- Department of Psychological Sciences, University of Connecticut, Storrs, Connecticut
| | - Cora E. Lewis
- Department of Epidemiology, School of Public Health, University of Alabama at Birmingham, Birmingham
| | - Judy Bahnson
- Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Suzanne Phelan
- Kinesiology and Public Health Department, California Polytechnic State University, San Luis Obispo, California
| | - Rena R. Wing
- Alpert Medical School of Brown University, Miriam Hospital, Providence, Rhode Island
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Ma H, Wang X, Xue Q, Li X, Liang Z, Heianza Y, Franco OH, Qi L. Cardiovascular Health and Life Expectancy Among Adults in the United States. Circulation 2023; 147:1137-1146. [PMID: 37036905 PMCID: PMC10165723 DOI: 10.1161/circulationaha.122.062457] [Citation(s) in RCA: 37] [Impact Index Per Article: 37.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/12/2022] [Accepted: 02/08/2023] [Indexed: 04/12/2023]
Abstract
BACKGROUND Cardiovascular disease may be the main reason for stagnant growth in life expectancy in the United States since 2010. The American Heart Association recently released an updated algorithm for evaluating cardiovascular health (CVH)-Life's Essential 8 (LE8) score. We aimed to quantify the associations of CVH levels, estimated by the LE8 score, with life expectancy in a nationally representative sample of US adults. METHODS We included 23 003 nonpregnant, noninstitutionalized participants aged 20 to 79 years who participated in the National Health and Nutrition Examination Survey from 2005 to 2018 and whose mortality was identified through linkage to the National Death Index through December 31, 2019. The overall CVH was evaluated by the LE8 score (range, 0-100), as well as the score 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. Life table method was used to estimate life expectancy by levels of the CVH. RESULTS During a median of 7.8 years of follow-up, 1359 total deaths occurred. The estimated life expectancy at age 50 years was 27.3 years (95% CI, 26.1-28.4), 32.9 years (95% CI, 32.3-33.4), and 36.2 years (95% CI, 34.2-38.2) in participants with low (LE8 score <50), moderate (50≤ LE8 score <80), and high (LE8 score ≥80) CVH, respectively. Equivalently, participants with high CVH had an average 8.9 (95% CI, 6.2-11.5) more years of life expectancy at age 50 years compared with those with low CVH. On average, 42.6% of the gained life expectancy at age 50 years from adhering to high CVH was attributable to reduced cardiovascular disease death. Similarly significant associations of CVH with life expectancy were observed in men and women, respectively. Similarly significant associations of CVH with life expectancy were observed in White participants and Black participants but not in Mexican participants. CONCLUSIONS Adhering to a high CVH, defined as the LE8 score, is related to a considerably increased life expectancy in US adults, but more research needs to be done in other races and ethnicities (eg, Hispanic and Asian).
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Affiliation(s)
- Hao Ma
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA
| | - Xuan Wang
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA
| | - Qiaochu Xue
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA
| | - Xiang Li
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA
| | - Zhaoxia Liang
- Obstetrical Department, Women’s Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Yoriko Heianza
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA
| | - Oscar H. Franco
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands
| | - Lu Qi
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA
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22
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Wang X, Ma H, Li X, Heianza Y, Manson JE, Franco OH, Qi L. Association of Cardiovascular Health With Life Expectancy Free of Cardiovascular Disease, Diabetes, Cancer, and Dementia in UK Adults. JAMA Intern Med 2023; 183:340-349. [PMID: 36848126 PMCID: PMC9972243 DOI: 10.1001/jamainternmed.2023.0015] [Citation(s) in RCA: 54] [Impact Index Per Article: 54.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/22/2022] [Accepted: 01/03/2023] [Indexed: 03/01/2023]
Abstract
Importance The average life expectancy has increased substantially in the past few decades in most industrialized countries; however, not all of the increased life expectancy is being spent in optimal health, especially among individuals with low socioeconomic status. Objective To quantify the associations between levels of cardiovascular health (CVH), estimated by the American Heart Association's Life's Essential 8 (LE8) metrics, with life expectancy free of major chronic disease, including cardiovascular disease (CVD), diabetes, cancer, and dementia, in UK adults. Design, Setting, and Participants This cohort study included 135 199 adults in the UK Biobank study who were initially free of major chronic disease and had complete data on LE8 metrics. Data analyses were performed in August 2022. Exposures Cardiovascular health levels, as estimated by LE8 score. The LE8 score, which consists of 8 components: (1) diet, (2) physical activity, (3) tobacco/nicotine exposure, (4) sleep, (5) body mass index, (6) non-high-density lipoprotein cholesterol, (7) blood glucose, and (8) blood pressure. The CVH level was evaluated at baseline and categorized into low (LE8 score <50), moderate (LE8 score ≥50 but <80), and high (LE8 score ≥80) levels. Main Outcomes and Measures The primary outcome was the life expectancy free of 4 major chronic diseases (CVD, diabetes, cancer, and dementia). Results Of the 135 199 adults (44.7% men; mean [SD] age, 55.4 [7.9] years) included in the study, a total of 4712, 48 955, and 6748 men had low, moderate, and high CVH levels, respectively, and the corresponding numbers for women were 3661, 52 192, and 18 931. At age 50 years, the estimated disease-free years were 21.5 (95% CI, 21.0-22.0), 25.5 (95% CI, 25.4-25.6), and 28.4 (95% CI, 27.8-29.0) for men with low, moderate, and high CVH levels, respectively; the corresponding estimated disease-free years at age 50 years for women were 24.2 (95% CI, 23.5-24.8), 30.5 (95% CI, 30.4-30.6), and 33.6 (95% CI, 33.1-34.0). Equivalently, men with moderate or high CVH levels lived on average 4.0 (95% CI, 3.4-4.5) or 6.9 (95% CI, 6.1-7.7) longer years free of chronic disease, respectively, at age 50 years, compared with men with low CVH levels. The corresponding longer years lived free of disease for women were 6.3 (95% CI, 5.6-7.0) or 9.4 (95% CI, 8.5-10.2). For participants with high CVH level, there was not a statistically significant difference in disease-free life expectancy between participants with low and other socioeconomic status. Conclusions and Relevance In this cohort study, a high level of CVH, evaluated using the LE8 metrics, was associated with longer life expectancy free of major chronic diseases and may contribute to narrowing socioeconomic health inequalities in both men and women.
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Affiliation(s)
- Xuan Wang
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, Louisiana
| | - Hao Ma
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, Louisiana
| | - Xiang Li
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, Louisiana
| | - Yoriko Heianza
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, Louisiana
| | - JoAnn E. Manson
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
- Division of Preventive Medicine, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts
| | - Oscar H. Franco
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Lu Qi
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, Louisiana
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
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Sun J, Li Y, Zhao M, Yu X, Zhang C, Magnussen CG, Xi B. Association of the American Heart Association's new "Life's Essential 8" with all-cause and cardiovascular disease-specific mortality: prospective cohort study. BMC Med 2023; 21:116. [PMID: 36978123 PMCID: PMC10053736 DOI: 10.1186/s12916-023-02824-8] [Citation(s) in RCA: 52] [Impact Index Per Article: 52.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/20/2022] [Accepted: 03/09/2023] [Indexed: 03/30/2023] Open
Abstract
BACKGROUND The American Heart Association recently updated its construct of what constitutes cardiovascular health (CVH), called Life's Essential 8. We examined the association of total and individual CVH metrics according to Life's Essential 8 with all-cause and cardiovascular disease (CVD)-specific mortality later in life. METHODS Data were from the National Health and Nutrition Examination Survey (NHANES) 2005-2018 at baseline linked to the 2019 National Death Index records. Total and individual CVH metric scores including diet, physical activity, nicotine exposure, sleep health, body mass index, blood lipids, blood glucose, and blood pressure were classified as 0-49 (low level), 50-74 (intermediate level), and 75-100 (high level) points. The total CVH metric score (the average of the 8 metrics) as a continuous variable was also used for dose-response analysis. The main outcomes included all-cause and CVD-specific mortality. RESULTS A total of 19,951 US adults aged 30-79 years were included in this study. Only 19.5% of adults achieved a high total CVH score, whereas 24.1% had a low score. During a median follow-up of 7.6 years, compared with adults with a low total CVH score, those with an intermediate or high total CVH score had 40% (adjusted hazard ratio [HR] 0.60, 95% confidence interval [CI] 0.51-0.71) and 58% (adjusted HR 0.42, 95% CI 0.32-0.56) reduced risk of all-cause mortality. The corresponding adjusted HRs (95%CIs) were 0.62 (0.46-0.83) and 0.36 (0.21-0.59) for CVD-specific mortality. The population-attributable fractions for high (score ≥ 75 points) vs. low or intermediate (score < 75 points) CVH scores were 33.4% for all-cause mortality and 42.9% for CVD-specific mortality. Among all 8 individual CVH metrics, physical activity, nicotine exposure, and diet accounted for a large proportion of the population-attributable risks for all-cause mortality, whereas physical activity, blood pressure, and blood glucose accounted for a large proportion of CVD-specific mortality. There were approximately linear dose-response associations of total CVH score (as a continuous variable) with all-cause and CVD-specific mortality. CONCLUSIONS Achieving a higher CVH score according to the new Life's Essential 8 was associated with a reduced risk of all-cause and CVD-specific mortality. Public health and healthcare efforts targeting the promotion of higher CVH scores could provide considerable benefits to reduce the mortality burden later in life.
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Affiliation(s)
- Jiahong Sun
- Department of Epidemiology/Shandong Provincial Clinical Research Center for Emergency and Critical Care Medicine, School of Public Health/Qilu Hospital, Cheeloo College of Medicine, Shandong University, 44 Wen Hua Xi Road, Jinan, 250012, China
| | - Yanzhi Li
- Department of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-Sen University, Guangzhou, China
| | - Min Zhao
- Department of Nutrition and Food Hygiene, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Xiao Yu
- Key Laboratory Experimental Teratology of the Ministry of Education, Department of Physiology, School of Basic Medical Sciences, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Cheng Zhang
- Key Laboratory of Cardiovascular Remodeling and Function Research, Chinese Ministry of Education, Chinese National Health Commission and Chinese Academy of Medical Sciences, The State and Shandong Province Joint Key Laboratory of Translational Cardiovascular Medicine, Department of Cardiology, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Costan G Magnussen
- Baker Heart and Diabetes Institute, Melbourne, VIC, Australia
- Research Center of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland
- Centre for Population Health Research, University of Turku and Turku University Hospital, Turku, Finland
| | - Bo Xi
- Department of Epidemiology/Shandong Provincial Clinical Research Center for Emergency and Critical Care Medicine, School of Public Health/Qilu Hospital, Cheeloo College of Medicine, Shandong University, 44 Wen Hua Xi Road, Jinan, 250012, China.
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Zheng Y, Huang T, Guasch-Ferre M, Hart J, Laden F, Chavarro J, Rimm E, Coull B, Hu H. Estimation of Life's Essential 8 Score with Incomplete Data of Individual Metrics. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.03.03.23286786. [PMID: 36945418 PMCID: PMC10029017 DOI: 10.1101/2023.03.03.23286786] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 06/18/2023]
Abstract
Background The American Heart Association's Life's Essential 8 (LE8) is an updated construct of cardiovascular health (CVH), including blood pressure, lipids, glucose, body mass index, nicotine exposure, diet, physical activity, and sleep health. It is challenging to simultaneously measure all eight metrics at multiple time points in most research and clinical settings, hindering the use of LE8 to assess individuals' overall CVH trajectories over time. Methods and Results We obtained data from 5,588 participants in the Nurses' Health Studies (NHS, NHSII) and Health Professional's Follow-up Study (HPFS), and 27,194 participants in the 2005-2016 National Health and Nutrition Examination Survey (NHANES) with all eight metrics available. Individuals' overall cardiovascular health (CVH) was determined by LE8 score (0-100). CVH-related factors that are routinely collected in many settings (i.e., demographics, BMI, smoking, hypertension, hypercholesterolemia, and diabetes) were included as predictors in the base models of LE8 score, and subsequent models further included less frequently measured factors (i.e., physical activity, diet, blood pressure, and sleep health). Gradient boosting decision trees were trained with hyper-parameters tuned by cross-validations. The base models trained using NHS, NHSII, and HPFS had validated root mean squared errors (RMSEs) of 8.06 (internal) and 16.72 (external). Models with additional predictors further improved performance. Consistent results were observed in models trained using NHANES. The predicted CVH scores can generate consistent effect estimates in associational studies as the observed CVH scores. Conclusions CVH-related factors routinely measured in many settings can be used to accurately estimate individuals' overall CVH when LE8 metrics are incomplete. Clinical Perspective What Is New?: Life's Essential 8 (LE8) has great potential to assess and promote cardiovascular health (CVH) across life course, however, it is challenging to simultaneously collect all eight metrics at multiple time points in most research and clinical settings.We demonstrated that CVH-related factors routinely collected in many research and clinical settings can be used to accurately estimate individuals' overall CVH across time even when LE8 metrics are incomplete.What Are the Clinical Implications?: The approach introduced in this study provides a cost-effective and feasible way to estimate individuals' overall CVH.It can be used to track individuals' CVH trajectories in clinical settings.
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Affiliation(s)
- Yi Zheng
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Tianyi Huang
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA
- Division of Sleep Medicine, Harvard Medical School, Boston, Massachusetts, USA
| | - Marta Guasch-Ferre
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
- Section of Epidemiology, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
- Novo Nordisk Foundation Center for Basic Metabolic Research, Copenhagen, Denmark
| | - Jaime Hart
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Francine Laden
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Jorge Chavarro
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Eric Rimm
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Brent Coull
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Hui Hu
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA
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25
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Wang X, Wang A, Zhang R, Cheng S, Pang Y. Life's Essential 8 and MAFLD in the United States. J Hepatol 2023; 78:e61-e63. [PMID: 36306872 DOI: 10.1016/j.jhep.2022.10.014] [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: 10/05/2022] [Accepted: 10/10/2022] [Indexed: 11/06/2022]
Affiliation(s)
- Xinyu Wang
- Department of Epidemiology & Biostatistics, School of Public Health, Peking University, 38 Xueyuan Road, Beijing 100191, China
| | - Aruna Wang
- Department of Epidemiology & Biostatistics, School of Public Health, Peking University, 38 Xueyuan Road, Beijing 100191, China
| | - Ruosu Zhang
- Department of Epidemiology & Biostatistics, School of Public Health, Peking University, 38 Xueyuan Road, Beijing 100191, China
| | - Si Cheng
- Department of Epidemiology & Biostatistics, School of Public Health, Peking University, 38 Xueyuan Road, Beijing 100191, China
| | - Yuanjie Pang
- Department of Epidemiology & Biostatistics, School of Public Health, Peking University, 38 Xueyuan Road, Beijing 100191, China.
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Brown MC, Hawley C, Ornelas IJ, Huber C, Best L, Thorndike AN, Beresford S, Howard BV, Umans JG, Hager A, Fretts AM. Adapting a cooking, food budgeting and nutrition intervention for a rural community of American Indians with type 2 diabetes in the North-Central United States. HEALTH EDUCATION RESEARCH 2023; 38:13-27. [PMID: 36342521 PMCID: PMC9853931 DOI: 10.1093/her/cyac033] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/15/2022] [Revised: 09/06/2022] [Accepted: 10/18/2022] [Indexed: 05/24/2023]
Abstract
American Indian (AI) communities experience persistent diabetes-related disparities, yet few nutrition interventions are designed for AI with type 2 diabetes or address socio-contextual barriers to healthy eating. We describe our process of adapting the evidence-based Cooking Matters® program for use by AI adults with type 2 diabetes in a rural and resource-limited setting in the North-Central United States. We conducted three focus groups with AI adults with diabetes to (i) identify Cooking Matters® adaptations and (ii) gather feedback on appropriateness of the adapted intervention using Barrera and Castro's cultural adaptation framework. Transcripts were coded using an inductive, constant comparison approach. Queries of codes were reviewed to identify themes. Contextual considerations included limited access to grocery stores and transportation barriers, reliance on government food assistance and the intergenerational burden of diabetes. Adaptations to content and delivery included incorporating traditional and locally available foods; appealing to children or others in multigenerational households and prioritizing visual over written content. Our use of Barrera and Castro's framework adds rigor and structure to the cultural adaptation process and increases the likelihood of future intervention success. Other researchers may benefit from using this framework to guide the adaptation of evidence-based interventions in AI communities.
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Affiliation(s)
- Meagan C Brown
- Department of Epidemiology, University of Washington School of Public Health, Hans Rosling Center for Population Health, 3980 15th Ave NE, Seattle, WA 98195, USA and Kaiser Permanente Washington Health Research Institute, 1730 Minor Ave, Seattle, WA 98101, USA
| | - Caitie Hawley
- Department of Medicine, University of Washington, Health Sciences Building, Box 356420, 1959 NE Pacific Street, Seattle, WA 98195-6420, USA
| | - India J Ornelas
- Department of Health Systems and Population Health, University of Washington School of Public Health, Hans Rosling Center for Population Health, 3980 15th Ave NE, Seattle, WA 98195, USA
| | - Corrine Huber
- Missouri Breaks Industries Research Inc., 18 South Willow Street, P.O. Box 1824, Eagle Butte, SD 57625, USA
| | - Lyle Best
- Missouri Breaks Industries Research Inc., 18 South Willow Street, P.O. Box 1824, Eagle Butte, SD 57625, USA
| | - Anne N Thorndike
- Massachusetts General Hospital, 55 Fruit St, Boston, MA 02114, USA and Harvard Medical School, 25 Shattuck St, Boston, MA 02115, USA
| | - Shirley Beresford
- Department of Epidemiology, University of Washington School of Public Health, Hans Rosling Center for Population Health, 3980 15th Ave NE, Seattle, WA 98195, USA
| | - Barbara V Howard
- Field Studies Division, Medstar Health Research Institute, 6525 Belcrest Rd #700c, Hyattsville, MD 20782, USA
- Georgetown and Howard Universities Center for Clinical and Translational Science, 4000 Reservoir Rd NW #7, Washington, DC 20057, USA
| | - Jason G Umans
- Georgetown and Howard Universities Center for Clinical and Translational Science, 4000 Reservoir Rd NW #7, Washington, DC 20057, USA
- Field Studies Division and Biomarker, Biochemistry, and Biorepository Core, Medstar Health Research Institute, 6525 Belcrest Rd #700c, Hyattsville, MD 20782, USA
| | - Arlette Hager
- Cheyenne River Sioux Tribe Adult Diabetes Program, 24276 166th St. Airport Road, P.O. Box 590 Eagle Butte, SD 57625, USA
| | - Amanda M Fretts
- Department of Epidemiology, University of Washington School of Public Health, Hans Rosling Center for Population Health, 3980 15th Ave NE, Seattle, WA 98195, USA
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27
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Choi Y, Jacobs DR, Bancks MP, Lewis CE, Cha E, Yan F, Carnethon MR, Schreiner PJ, Duprez DA. Association of Cardiovascular Health Score With Early- and Later-Onset Diabetes and With Subsequent Vascular Complications of Diabetes. J Am Heart Assoc 2023; 12:e027558. [PMID: 36565184 PMCID: PMC9973601 DOI: 10.1161/jaha.122.027558] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
BACKGROUND Little attention has been paid to how well the American Heart Association's cardiovascular health (CVH) score predicts early-onset diabetes in young adults. We investigated the association of CVH score with early- and later-onset diabetes and with subsequent complications of diabetes. METHODS AND RESULTS Our sample included 4547 Black and White adults in the CARDIA (Coronary Artery Risk Development in Young Adults) study without diabetes at baseline (1985-1986; aged 18-30 years) with complete data on the CVH score at baseline, including smoking, body mass index, physical activity, diet quality, total cholesterol, blood pressure, and fasting blood glucose. Incident diabetes was determined based on fasting glucose, 2-hour postload glucose, hemoglobin A1c, or self-reported medication use throughout 8 visits for 30 years. Multinomial logistic regression was used to assess the association between CVH score and diabetes onset at age <40 years (early onset) versus age ≥40 years (later onset). Secondary analyses assessed the association between CVH score and risk of complications (coronary artery calcium, clinical cardiovascular disease, kidney function markers, diabetic retinopathy, and diabetic neuropathy) among a subsample with diabetes. We identified 116 early- and 502 later-onset incident diabetes cases. Each 1-point higher CVH score was associated with lower odds of developing early-onset (odds ratio [OR], 0.64 [95% CI, 0.58-0.71]) and later-onset diabetes (OR, 0.78 [95% CI, 0.74-0.83]). Lower estimates of diabetic complications were observed per 1-point higher CVH score: 19% for coronary artery calcification≥100, 18% for cardiovascular disease, and 14% for diabetic neuropathy. CONCLUSIONS Higher CVH score in young adulthood was associated with lower early- and later-onset diabetes as well as diabetic complications.
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Affiliation(s)
- Yuni Choi
- Division of Epidemiology and Community Health, School of Public Health University of Minnesota Minneapolis MN
| | - David R Jacobs
- Division of Epidemiology and Community Health, School of Public Health University of Minnesota Minneapolis MN
| | - Michael Patrick Bancks
- Department of Epidemiology and Prevention Wake Forest School of Medicine Winston-Salem NC
| | - Cora E Lewis
- Department of Epidemiology University of Alabama at Birmingham Birmingham AL
| | - EunSeok Cha
- College of Nursing Chungnam National University Daejeon South Korea.,Nell Hodgson Woodruff School of Nursing Emory University Atlanta GA
| | - Fengxia Yan
- Department of Community Health and Preventive Medicine Morehouse School of Medicine Atlanta GA
| | - Mercedes R Carnethon
- Department of Preventive Medicine, Feinberg School of Medicine Northwestern University Chicago IL
| | - Pamela J Schreiner
- Division of Epidemiology and Community Health, School of Public Health University of Minnesota Minneapolis MN
| | - Daniel A Duprez
- Cardiovascular Division, Department of Medicine University of Minnesota-Twin Cities Minneapolis MN
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Okada A, Kaneko H, Matsuoka S, Itoh H, Suzuki Y, Fujiu K, Michihata N, Jo T, Takeda N, Morita H, Yamaguchi S, Node K, Yamauchi T, Yasunaga H, Komuro I. Association of cardiovascular health metrics with annual incidence of prediabetes or diabetes: Analysis of a nationwide real-world database. J Diabetes Investig 2022; 14:452-462. [PMID: 36495057 PMCID: PMC9951564 DOI: 10.1111/jdi.13958] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/09/2022] [Revised: 11/02/2022] [Accepted: 11/23/2022] [Indexed: 12/14/2022] Open
Abstract
AIMS/INTRODUCTION Little is known about the relationship between cardiovascular health (CVH) metrics and the risk of developing prediabetes or diabetes. We examined the association of CVH metrics with the annual risk of developing prediabetes or diabetes. MATERIALS AND METHODS We carried out this study including 403,857 participants aged 18-71 years with available data on fasting plasma glucose (FPG) data for five consecutive years and with normal FPG (<100 mg/dL) at the initial health checkup. We identified the following ideal CVH metrics: non-smoking, body mass index of <25 kg/m2 , maintaining physical activity, taking breakfast, untreated blood pressure of <120/80 mmHg and untreated total cholesterol of <200 mg/dL. We defined the primary end-point as prediabetes (FPG 100-125 mg/dL) or diabetes (FPG ≥126 mg/dL or use of antihyperglycemic medications). We examined the relationship of CVH metrics with the annual incidence of prediabetes or diabetes. Additionally, we examined the association of 1-year changes in CVH metrics with the risk for prediabetes or diabetes. RESULTS The median age was 44 years, and 65.6% were men. An increasing number of non-ideal CVH metrics was associated with an elevated risk of prediabetes or diabetes. A non-ideal body mass index was most strongly associated with the risk of prediabetes or diabetes. The risk of developing prediabetes or diabetes rose as the number of non-ideal CVH metrics increased over 1 year. CONCLUSIONS CVH metrics could stratify the risk of the annual development of prediabetes or diabetes. The risk of developing prediabetes or diabetes might be reduced by improving CVH metrics.
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Affiliation(s)
- Akira Okada
- Department of Prevention of Diabetes and Lifestyle‐Related Diseases, Graduate School of MedicineThe University of TokyoTokyoJapan
| | - Hidehiro Kaneko
- The Department of Cardiovascular MedicineThe University of TokyoTokyoJapan,The Department of Advanced CardiologyThe University of TokyoTokyoJapan
| | - Satoshi Matsuoka
- The Department of Cardiovascular MedicineThe University of TokyoTokyoJapan,Department of CardiologyNew Tokyo HospitalMatsudoJapan
| | - Hidetaka Itoh
- The Department of Cardiovascular MedicineThe University of TokyoTokyoJapan
| | - Yuta Suzuki
- The Department of Cardiovascular MedicineThe University of TokyoTokyoJapan,Department of Rehabilitation Science, Graduate School of Medical SciencesKitasato UniversityKanagawaJapan
| | - Katsuhito Fujiu
- The Department of Cardiovascular MedicineThe University of TokyoTokyoJapan,The Department of Advanced CardiologyThe University of TokyoTokyoJapan
| | - Nobuaki Michihata
- The Department of Health Services ResearchThe University of TokyoTokyoJapan
| | - Taisuke Jo
- The Department of Health Services ResearchThe University of TokyoTokyoJapan
| | - Norifumi Takeda
- The Department of Cardiovascular MedicineThe University of TokyoTokyoJapan
| | - Hiroyuki Morita
- The Department of Cardiovascular MedicineThe University of TokyoTokyoJapan
| | - Satoko Yamaguchi
- Department of Prevention of Diabetes and Lifestyle‐Related Diseases, Graduate School of MedicineThe University of TokyoTokyoJapan
| | - Koichi Node
- Department of Cardiovascular MedicineSaga UniversitySagaJapan
| | - Toshimasa Yamauchi
- Department of Diabetes and Metabolic Diseases, Graduate School of MedicineThe University of TokyoTokyoJapan
| | - Hideo Yasunaga
- The Department of Clinical Epidemiology and Health Economics, School of Public HealthThe University of TokyoTokyoJapan
| | - Issei Komuro
- The Department of Cardiovascular MedicineThe University of TokyoTokyoJapan
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Taylor HA, Finkel T, Gao Y, Ballinger SW, Campo R, Chen R, Chen SH, Davidson K, Iruela-Arispe ML, Jaquish C, LeBrasseur NK, Odden MC, Papanicolaou GJ, Picard M, Srinivas P, Tjurmina O, Wolz M, Galis ZS. Scientific opportunities in resilience research for cardiovascular health and wellness. Report from a National Heart, Lung, and Blood Institute workshop. FASEB J 2022; 36:e22639. [PMID: 36322029 PMCID: PMC9703084 DOI: 10.1096/fj.202201407r] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2022] [Revised: 10/14/2022] [Accepted: 10/21/2022] [Indexed: 11/07/2022]
Abstract
Exposure of biological systems to acute or chronic insults triggers a host of molecular and physiological responses to either tolerate, adapt, or fully restore homeostasis; these responses constitute the hallmarks of resilience. Given the many facets, dimensions, and discipline-specific focus, gaining a shared understanding of "resilience" has been identified as a priority for supporting advances in cardiovascular health. This report is based on the working definition: "Resilience is the ability of living systems to successfully maintain or return to homeostasis in response to physical, molecular, individual, social, societal, or environmental stressors or challenges," developed after considering many factors contributing to cardiovascular resilience through deliberations of multidisciplinary experts convened by the National Heart, Lung, and Blood Institute during a workshop entitled: "Enhancing Resilience for Cardiovascular Health and Wellness." Some of the main emerging themes that support the possibility of enhancing resilience for cardiovascular health include optimal energy management and substrate diversity, a robust immune system that safeguards tissue homeostasis, and social and community support. The report also highlights existing research challenges, along with immediate and long-term opportunities for resilience research. Certain immediate opportunities identified are based on leveraging existing high-dimensional data from longitudinal clinical studies to identify vascular resilience measures, create a 'resilience index,' and adopt a life-course approach. Long-term opportunities include developing quantitative cell/organ/system/community models to identify resilience factors and mechanisms at these various levels, designing experimental and clinical interventions that specifically assess resilience, adopting global sharing of resilience-related data, and cross-domain training of next-generation researchers in this field.
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Affiliation(s)
- Herman A. Taylor
- Cardiovascular Research Institute Morehouse School of Medicine, Atlanta, Georgia, USA
- Morehouse-Emory Cardiovascular Center for Health Equity, Atlanta, Georgia, USA
- Harvard Chan School of Public Health, Atlanta, Georgia, USA
- Emory School of Medicine, Atlanta, Georgia, USA
| | - Toren Finkel
- University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA
| | - Yunling Gao
- Division of Cardiovascular Sciences, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Scott W. Ballinger
- University of Alabama Heersink School of Medicine, Birmingham, Alabama, USA
| | - Rebecca Campo
- Division of Cardiovascular Sciences, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Rong Chen
- Icahn School of Medicine at Mount Sinai, New York, New York, USA
- Sema4, Stamford, Connecticut, USA
| | - Shu Hui Chen
- Division of Cardiovascular Sciences, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Karina Davidson
- Feinstein Institutes for Medical Research, Northwell Health, New York, New York, USA
| | | | - Cashell Jaquish
- Division of Cardiovascular Sciences, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland, USA
| | | | | | - George J. Papanicolaou
- Division of Cardiovascular Sciences, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Martin Picard
- Columbia University Irving Medical Center, New York, New York, USA
- New York State Psychiatric Institute, New York, New York, USA
| | - Pothur Srinivas
- Division of Cardiovascular Sciences, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Olga Tjurmina
- Division of Cardiovascular Sciences, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Michael Wolz
- Division of Cardiovascular Sciences, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Zorina S. Galis
- Division of Cardiovascular Sciences, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland, USA
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Hu P, Zheng M, Duan X, Zhou H, Huang J, Lao L, Zhao Y, Li Y, Xue M, Zhao W, Deng H, Liu X. Association of healthy lifestyles on the risk of hypertension, type 2 diabetes mellitus, and their comorbidity among subjects with dyslipidemia. Front Nutr 2022; 9:1006379. [PMID: 36225875 PMCID: PMC9550234 DOI: 10.3389/fnut.2022.1006379] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2022] [Accepted: 09/09/2022] [Indexed: 11/13/2022] Open
Abstract
Background Adherence to a healthy lifestyle could reduce the risk of hypertension and diabetes in general populations; however, whether the associations exist in subjects with dyslipidemia remains unclear. This study aimed to investigate the integrated effect of lifestyle factors on the risk of hypertension, type 2 diabetes mellitus (T2DM), and their comorbidity among subjects with dyslipidemia. Methods In total of 9,339 subjects with dyslipidemia were recruited from the baseline survey of the Guangzhou Heart Study. A questionnaire survey and medical examination were performed. The healthy lifestyle score (HLS) was derived from five factors: smoking, alcohol drinking, diet, body mass index, and leisure-time physical activity. Odds ratios (ORs) with 95% confidence interval (95% CI) were calculated by using the logistic regression model and the multinomial logistic regression after adjusting for confounders. Results The prevalence of hypertension, T2DM, and their comorbidity was 47.65, 16.02, and 10.10%, respectively. Subjects with a higher HLS were associated with a lower risk of hypertension, T2DM, and their comorbidity. In comparison to the subjects with 0–2 HLS, the adjusted ORs for subjects with five HLS was 0.48 (95% CI: 0.40–0.57) and 0.67 (95% CI: 0.54–0.84) for hypertension and T2DM. Compared with subjects with 0-2 HLS and neither hypertension nor T2DM, those with five HLS had a lower risk of suffering from only one disease (OR: 0.48, 95% CI: 0.40–0.57) and their comorbidity (OR: 0.35, 95% CI: 0.26–0.47). Conclusions The results suggest that the more kinds of healthy lifestyle, the lower the risk of hypertension, T2DM, and their comorbidity among subjects with dyslipidemia. Preventive strategies incorporating lifestyle factors may provide a more feasible approach for the prevention of main chronic diseases.
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Affiliation(s)
- Peng Hu
- School of Public Health, Guangdong Pharmaceutical University, Guangzhou, China
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Murui Zheng
- Department of Community Health, Guangzhou Center for Disease Control and Prevention, Guangzhou, China
| | - Xueru Duan
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Huanning Zhou
- Department of Chronic Disease, Guangzhou Yuexiu District Center for Disease Control and Prevention, Guangzhou, China
| | - Jun Huang
- Department of Geriatrics, Institute of Geriatrics, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Science, Guangzhou, China
| | - Lixian Lao
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Science, Guangzhou, China
| | - Yue Zhao
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Yi Li
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Meng Xue
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Wenjing Zhao
- School of Public Health and Emergency Management, Southern University of Science and Technology, Shenzhen, China
- *Correspondence: Wenjing Zhao
| | - Hai Deng
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Science, Guangzhou, China
- Hai Deng
| | - Xudong Liu
- School of Public Health, Guangdong Pharmaceutical University, Guangzhou, China
- Xudong Liu
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Wu X, Bao L, Liu X, Liao W, Kang N, Sang S, Abdulai T, Zhai Z, Wang C, Li Y. Ideal Cardiovascular Health Metrics Attenuated Association of Age at Menarche With Type 2 Diabetes in Rural China. Int J Public Health 2022; 67:1604261. [PMID: 36111199 PMCID: PMC9469086 DOI: 10.3389/ijph.2022.1604261] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2021] [Accepted: 06/10/2022] [Indexed: 11/13/2022] Open
Abstract
Objective: It is not clear whether ideal cardiovascular health (ICH) metrics have an impact on the association between age at menarche and type 2 diabetes (T2DM) in rural postmenopausal Chinese women. Methods: In all, 15,450 postmenopausal women were enrolled from the Henan Rural Cohort study. Logistic regression models and interaction plots were used to analyze associations between age at menarche, ICH metrics and T2DM and interactive effects. Results: Age at menarche was inversely associated with risk of T2DM, with adjusted OR of 1.224, 1.116, 1.00 and 0.971, 0.850 for those with age at menarche ≤13, 14, 15–16 (reference), 17, and ≥18 years, respectively, and each year of delay in menarche age correlated with a 5.1% lower risk of T2DM. Negative interaction effects of age at menarche and number of ICH metrics on the risk of T2DM was observed. Conclusion: Meeting more ICH metrics might attenuate the association between early menstrual age and increased risk of T2DM, implying that meeting a higher number of ICH metrics may be an effective way to prevent T2DM for women of early menarche age.
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Affiliation(s)
- Xueyan Wu
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, China
| | - Lei Bao
- The International Peace Maternity and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Xiaotian Liu
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, China
| | - Wei Liao
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, China
| | - Ning Kang
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, China
| | - Shengxiang Sang
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, China
| | - Tanko Abdulai
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, China
| | - Zhihan Zhai
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, China
| | - Chongjian Wang
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, China
| | - Yuqian Li
- Department of Clinical Pharmacology, School of Pharmaceutical Science, Zhengzhou University, Zhengzhou, China
- *Correspondence: Yuqian Li,
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Qin P, Liu D, Feng Y, Yang X, Li Y, Wu Y, Hu H, Zhang J, Li T, Li X, Zhao Y, Chen C, Hu F, Zhang M, Liu Y, Sun X, Hu D. Association between cardiovascular health metrics and risk of incident type 2 diabetes mellitus: the Rural Chinese Cohort Study. Acta Diabetol 2022; 59:1063-1071. [PMID: 35643944 DOI: 10.1007/s00592-022-01896-x] [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: 02/17/2022] [Accepted: 04/19/2022] [Indexed: 11/01/2022]
Abstract
AIMS The evidence for association between cardiovascular health (CVH) metrics and type 2 diabetes mellitus (T2DM) in Chinese population is limited. We explored the association between the number of ideal CVH metrics and risk of incident T2DM in a rural Chinese population. MATERIALS AND METHODS A total of 12,150 rural Chinese participants (median age 51 years) were enrolled. A Cox proportional-hazards model was used to assess the association between the number of ideal CVH metrics and risk of incident T2DM by using hazard ratios (HRs) and 95% confidence intervals (CIs). We another conducted multiplicative and additive interaction effect between the number of ideal CVH metrics and sex or age on incident T2DM, and subgroup analyses of the association were also conducted by sex and age. RESULTS During a median of 6.01 years of follow-up, 840 incident cases of T2DM occurred. The number of ideal CVH metrics was negatively associated with risk of incident T2DM (per unit increase: HR = 0.76, 95% CI 0.70-0.82). We also observed both multiplicative and additive interaction effect between lower number of ideal CVH metrics and sex on incident T2DM, and multiplicative interaction effect between lower number of ideal CVH metrics and age on incident T2DM was observed. The association remained statistically significant for both men and women, or participants with age < 65 years. CONCLUSIONS Increasing number of ideal CVH metrics was associated with reduced risk of incident T2DM, which presented age- and sex-related differential associations.
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Affiliation(s)
- Pei Qin
- Shenzhen Qianhai Shekou Free Zone Hospital, No. 36 Gongye 7th Road, Luohu District, Shenzhen, Guangdong, 518001, People's Republic of China
| | - Dechen Liu
- Department of Biostatistics and Epidemiology, School of Public Health, Shenzhen University Health Science Center, No. 1066 Xueyuan Avenue, 30 Nanshan District, Shenzhen, Guangdong, 518060, People's Republic of China
| | - Yifei Feng
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - Xingjin Yang
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - Yang Li
- Shenzhen Qianhai Shekou Free Zone Hospital, No. 36 Gongye 7th Road, Luohu District, Shenzhen, Guangdong, 518001, People's Republic of China
| | - Yuying Wu
- Department of Biostatistics and Epidemiology, School of Public Health, Shenzhen University Health Science Center, No. 1066 Xueyuan Avenue, 30 Nanshan District, Shenzhen, Guangdong, 518060, People's Republic of China
| | - Huifang Hu
- Shenzhen Qianhai Shekou Free Zone Hospital, No. 36 Gongye 7th Road, Luohu District, Shenzhen, Guangdong, 518001, People's Republic of China
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - Jinli Zhang
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - Tianze Li
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - Xi Li
- Shenzhen Qianhai Shekou Free Zone Hospital, No. 36 Gongye 7th Road, Luohu District, Shenzhen, Guangdong, 518001, People's Republic of China
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - Yang Zhao
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - Chuanqi Chen
- Department of Endocrinology, Shenzhen Qianhai Shekou Free Trade Zone Hospital, Shenzhen, Guangdong, People's Republic of China
| | - Fulan Hu
- Department of Biostatistics and Epidemiology, School of Public Health, Shenzhen University Health Science Center, No. 1066 Xueyuan Avenue, 30 Nanshan District, Shenzhen, Guangdong, 518060, People's Republic of China
| | - Ming Zhang
- Department of Biostatistics and Epidemiology, School of Public Health, Shenzhen University Health Science Center, No. 1066 Xueyuan Avenue, 30 Nanshan District, Shenzhen, Guangdong, 518060, People's Republic of China
| | - Yu Liu
- Department of Biostatistics and Epidemiology, School of Public Health, Shenzhen University Health Science Center, No. 1066 Xueyuan Avenue, 30 Nanshan District, Shenzhen, Guangdong, 518060, People's Republic of China
| | - Xizhuo Sun
- Department of Biostatistics and Epidemiology, School of Public Health, Shenzhen University Health Science Center, No. 1066 Xueyuan Avenue, 30 Nanshan District, Shenzhen, Guangdong, 518060, People's Republic of China
| | - Dongsheng Hu
- Shenzhen Qianhai Shekou Free Zone Hospital, No. 36 Gongye 7th Road, Luohu District, Shenzhen, Guangdong, 518001, People's Republic of China.
- Department of Biostatistics and Epidemiology, School of Public Health, Shenzhen University Health Science Center, No. 1066 Xueyuan Avenue, 30 Nanshan District, Shenzhen, Guangdong, 518060, People's Republic of China.
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Suzuki Y, Kaneko H, Okada A, Matsuoka S, Itoh H, Fujiu K, Michihata N, Jo T, Takeda N, Morita H, Yamaguchi S, Node K, Yamauchi T, Yasunaga H, Komuro I. Prediabetes in Young Adults and Its Association With Cardiovascular Health Metrics in the Progression to Diabetes. J Clin Endocrinol Metab 2022; 107:1843-1853. [PMID: 35446413 DOI: 10.1210/clinem/dgac247] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/19/2021] [Indexed: 11/19/2022]
Abstract
CONTEXT The natural history of young adults with prediabetes and its association with cardiovascular health (CVH) metrics in progression to diabetes remain unknown. OBJECTIVE We examined the association between CVH metrics and the annual incidence of diabetes in young adults with prediabetes. METHODS This observational cohort study used the JMDC Claims Database. We analyzed 18 908 participants aged 18 to 44 years, with available fasting plasma glucose (FPG) data for 5 consecutive years, and who had prediabetes (FPG 100-125 mg/dL) at the initial health checkup. The ideal CVH metrics were as follows: nonsmoking, body mass index (BMI) less than 25 kg/m2, physical activity at goal, optimal dietary habits, blood pressure less than 120/80 mm Hg, and total cholesterol less than 200 mg/dL. We analyzed the association between CVH metrics and the annual incidence of diabetes. We also examined the relationship between 1-year changes in CVH metrics and the subsequent risk of diabetes. RESULTS The incidence of diabetes was 3.3% at 1 year and 9.5% at 5 years after the initial health checkup. An increasing number of nonideal CVH metrics have been associated with an increased risk of diabetes. Nonideal BMI, smoking, blood pressure, and total cholesterol level were associated with an increased risk of diabetes. This association was observed both in men and women. A one-point increase in the number of nonideal CVH metric components was associated over 1 year with an increased risk of diabetes. CONCLUSION CVH metrics can stratify the risk of diabetes in young adults with prediabetes. Improving CVH metrics may reduce the risk of developing diabetes.
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Affiliation(s)
- Yuta Suzuki
- The Department of Cardiovascular Medicine, The University of Tokyo, Tokyo 113-8655, Japan
- Department of Rehabilitation Science, Graduate School of Medical Sciences, Kitasato University, Kanagawa 252-0373, Japan
| | - Hidehiro Kaneko
- The Department of Cardiovascular Medicine, The University of Tokyo, Tokyo 113-8655, Japan
- The Department of Advanced Cardiology, The University of Tokyo, Tokyo 113-8655, Japan
| | - Akira Okada
- Department of Prevention of Diabetes and Lifestyle-related Diseases, Graduate School of Medicine, The University of Tokyo, Tokyo 113-8655, Japan
| | - Satoshi Matsuoka
- The Department of Cardiovascular Medicine, The University of Tokyo, Tokyo 113-8655, Japan
- Department of Cardiology, New Tokyo Hospital, Matsudo 270-2232, Japan
| | - Hidetaka Itoh
- The Department of Cardiovascular Medicine, The University of Tokyo, Tokyo 113-8655, Japan
| | - Katsuhito Fujiu
- The Department of Cardiovascular Medicine, The University of Tokyo, Tokyo 113-8655, Japan
- The Department of Advanced Cardiology, The University of Tokyo, Tokyo 113-8655, Japan
| | - Nobuaki Michihata
- The Department of Health Services Research, The University of Tokyo, Tokyo 113-8655, Japan
| | - Taisuke Jo
- The Department of Health Services Research, The University of Tokyo, Tokyo 113-8655, Japan
| | - Norifumi Takeda
- The Department of Cardiovascular Medicine, The University of Tokyo, Tokyo 113-8655, Japan
| | - Hiroyuki Morita
- The Department of Cardiovascular Medicine, The University of Tokyo, Tokyo 113-8655, Japan
| | - Satoko Yamaguchi
- Department of Prevention of Diabetes and Lifestyle-related Diseases, Graduate School of Medicine, The University of Tokyo, Tokyo 113-8655, Japan
| | - Koichi Node
- Department of Cardiovascular Medicine, Saga University, Saga 849-8501, Japan
| | - Toshimasa Yamauchi
- Department of Diabetes and Metabolic Diseases, Graduate School of Medicine, The University of Tokyo, Tokyo 113-8655, Japan
| | - Hideo Yasunaga
- The Department of Clinical Epidemiology and Health Economics, School of Public Health, The University of Tokyo, Tokyo 113-8655, Japan
| | - Issei Komuro
- The Department of Cardiovascular Medicine, The University of Tokyo, Tokyo 113-8655, Japan
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Asgari S, Masrouri S, Hosseinpour‐Niazi S, Moslehi N, Azizi F, Hadaegh F. The Association of Ideal Cardiovascular Health Metrics and Incident Type 2 Diabetes Mellitus Among an urban population of Iran: a decade follow-up in Tehran Lipid and Glucose Study. J Diabetes Investig 2022; 13:1711-1722. [PMID: 35588067 PMCID: PMC9533049 DOI: 10.1111/jdi.13839] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/21/2022] [Revised: 05/15/2022] [Accepted: 05/18/2022] [Indexed: 12/01/2022] Open
Abstract
AIMS To evaluate the association between ideal cardiovascular health metrics (ICVHM) and incident type diabetes (T2DM) among Iranian men and women. METHODS The study population included 7,488 Iranian adults aged ≥20 years (4236 women) free from diabetes at baseline. The ICVHM was defined according to the 2020-American Heart Association. The multivariable Cox proportional hazards regression analysis was used to calculate the hazard ratios (HRs) for ICVHM both as continuous and categorical variables. RESULTS Over the median of 9.1 years of follow-up, we identified 922 new cases of T2DM (526 women). Body mass index <30 kg/m2 , untreated systolic/diastolic blood pressure <120/80 mmHg in both genders, and physical activity ≥1500 MET mins/wk (only among men) were significantly associated with a lower risk of T2DM. Each additional unit in the ICVHM was associated with a 21% and 15% lower risk of T2DM in men and women, respectively (p-values<0.05). Compared with participants having poor cardiovascular health (CVH), the HR (95% confidence interval) for T2DM risk was 0.69 (0.56-0.85) and 0.35 (0.21-0.59) for men with intermediate and ideal CVHM, respectively. The corresponding values for women were 0.79 (0.65-0.97) and 0.30 (0.15-0.60), respectively. in a subpopulation with nutritional data (n=2236), ideal and intermediate nutritional status was associated with 83% and 77% lower risk of T2DM only among women (p-values<0.05). CONCLUSION We found a strong inverse association between having higher global ICVHM with incident T2DM; the issue is mainly attributable to normal blood pressure, normal body weight, and intensive physical activity (only for men).
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Affiliation(s)
- Samaneh Asgari
- Prevention of Metabolic Disorders Research CenterResearch Institute for Endocrine SciencesShahid Beheshti University of Medical SciencesTehranIran
| | - Soroush Masrouri
- Prevention of Metabolic Disorders Research CenterResearch Institute for Endocrine SciencesShahid Beheshti University of Medical SciencesTehranIran
| | - Somaye Hosseinpour‐Niazi
- Nutrition and Endocrine Research CenterResearch Institute for Endocrine SciencesShahid Beheshti University of Medical SciencesTehranIran
| | - Nazanin Moslehi
- Nutrition and Endocrine Research CenterResearch Institute for Endocrine SciencesShahid Beheshti University of Medical SciencesTehranIran
| | - Fereidoun Azizi
- Endocrine Research CenterResearch Institute for Endocrine SciencesShahid Beheshti University of Medical SciencesTehranIran
| | - Farzad Hadaegh
- Prevention of Metabolic Disorders Research CenterResearch Institute for Endocrine SciencesShahid Beheshti University of Medical SciencesTehranIran
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Godfrey TM, Cordova-Marks FM, Jones D, Melton F, Breathett K. Metabolic Syndrome Among American Indian and Alaska Native Populations: Implications for Cardiovascular Health. Curr Hypertens Rep 2022; 24:107-114. [PMID: 35181832 PMCID: PMC9149125 DOI: 10.1007/s11906-022-01178-5] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/25/2022] [Indexed: 01/10/2023]
Abstract
PURPOSE OF REVIEW The latest national data reports a 55% prevalence of metabolic syndrome in American Indian adults compared to 34.7% of the general US adult population. Metabolic syndrome is a strong predictor for diabetes, which is the leading cause of heart disease in American Indian and Alaska Native populations. Metabolic syndrome and associated risk factors disproportionately impact this population. We describe the presentation, etiology, and roles of structural racism and social determinants of health on metabolic syndrome. RECENT FINDINGS Much of what is known about metabolic syndrome in American Indian and Alaska Native populations comes from the Strong Heart Study as there is scant literature. American Indian and Alaska Native adults have an increased propensity towards metabolic syndrome as they are 1.1 times more likely to have high blood pressure, approximately three times more likely to have diabetes, and have higher rates of obesity compared with their non-Hispanic White counterparts. Culturally informed lifestyle and behavior interventions are promising approaches to address structural racism and social determinants of health that highly influence factors contributing to these rates. Among American Indian and Alaska Native populations, there is scarce updated literature evaluating the underlying causes of major risk factors for metabolic syndrome, and progression to cardiometabolic disease. As a result, the actual state of metabolic syndrome in this population is not well understood. Systemic and structural changes must occur to address the root causes of these disparities.
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Affiliation(s)
- Timian M Godfrey
- College of Nursing, University of Arizona, 1305 North Martin Avenue, Tucson, AZ, 85721, USA
| | - Felina M Cordova-Marks
- College of Public Health, University of Arizona, 1295 North Martin Avenue, Tucson, AZ, 85724, USA
| | - Desiree Jones
- College of Public Health, University of Arizona, 1295 North Martin Avenue, Tucson, AZ, 85724, USA
| | - Forest Melton
- College of Public Health, University of Arizona, 1295 North Martin Avenue, Tucson, AZ, 85724, USA
| | - Khadijah Breathett
- College of Medicine, Division of Cardiovascular Medicine, Indiana University, 1800 South Capital Avenue, Indianapolis, IN, 46202, USA.
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Alonso-Pedrero L, Ojeda-Rodríguez A, Zalba G, Razquin C, Martínez-González MÁ, Bes-Rastrollo M, Marti A. Asociación entre salud cardiovascular ideal y longitud telomérica en una población de edad avanzada de la cohorte SUN. Rev Esp Cardiol 2022. [DOI: 10.1016/j.recesp.2021.04.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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Tsai MC, Yeh TL, Hsu HY, Hsu LY, Lee CC, Tseng PJ, Chien KL. Comparison of four healthy lifestyle scores for predicting cardiovascular events in a national cohort study. Sci Rep 2021; 11:22146. [PMID: 34772956 PMCID: PMC8589956 DOI: 10.1038/s41598-021-01213-6] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2021] [Accepted: 10/19/2021] [Indexed: 11/21/2022] Open
Abstract
The protective effect of different healthy lifestyle scores for the risk of cardiovascular disease (CVD) was reported, although the comparisons of performance were lacking. We compared the performance measures of CVDs from different healthy lifestyle scores among Taiwanese adults. We conducted a nationwide prospective cohort study of 6042 participants (median age 43 years, 50.2% women) in Taiwan's Hypertensive, Hyperglycemia and Hyperlipidemia Survey, of whom 2002 were free of CVD at baseline. The simple and weighted the Mediterranean diet related healthy lifestyle (MHL) scores were defined as a combination of normal body mass index, Mediterranean diet, adequate physical activity, non-smokers, regular healthy drinking, and each dichotomous lifestyle factor. The World Cancer Research Fund and American Institute for Cancer Research cancer prevention recommended lifestyle and Life's Simple 7 following the guideline definition. The incidence of CVD among the four healthy lifestyle scores, each divided into four subgroups, was estimated. During a median 14.3 years follow-up period, 520 cases developed CVD. In the multivariate-adjusted Cox proportional hazard models, adherence to the highest category compared with the lowest one was associated with a lower incidence of CVD events, based on the simple (hazard ratio [HR] 0.43, 95% confidence interval [CI] 0.2-0.94) and weighted MHL scores (HR 0.44, 95% CI 0.28-0.68). Additionally, age played a role as a significant effect modifier for the protective effect of the healthy lifestyle scores for CVD risk. Specifically, the performance measures by integrated discriminative improvement showed a significant increase after adding the simple MHL score (integrated discriminative improvement: 0.51, 95% CI 0.16-0.86, P = 0.002) and weighted MHL score (integrated discriminative improvement: 0.38, 95% CI 0.01-0.74, P = 0.021). We demonstrated that the healthy lifestyle scores with an inverse association with CVD and reduced CVD risk were more likely for young adults than for old adults. Further studies to study the mechanism of the role of lifestyle on CVD prevention are warranted.
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Affiliation(s)
- Ming-Chieh Tsai
- Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Room 517, No.17, Xu-Zhou Rd., Taipei, 10055, Taiwan
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Taipei Mackay Memorial Hospital, No. 92, Section 2, Zhongshan North Road, Taipei City, 10449, Taiwan
- Department of Medicine, Mackay Medical Collage, No. 46, Sec. 3, Zhongzheng Rd., Sanzhi Dist., New Taipei City, 25245, Taiwan
| | - Tzu-Lin Yeh
- Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Room 517, No.17, Xu-Zhou Rd., Taipei, 10055, Taiwan
- Department of Family Medicine, Hsinchu MacKay Memorial Hospital, No. 690, Section 2, Guangfu Road, East District, Hsinchu City, 30071, Taiwan
| | - Hsin-Yin Hsu
- Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Room 517, No.17, Xu-Zhou Rd., Taipei, 10055, Taiwan
- Department of Family Medicine, Taipei MacKay Memorial Hospital, No. 92, Section 2, Zhongshan North Road, Taipei City, 10449, Taiwan
| | - Le-Yin Hsu
- Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Room 517, No.17, Xu-Zhou Rd., Taipei, 10055, Taiwan
| | - Chun-Chuan Lee
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Taipei Mackay Memorial Hospital, No. 92, Section 2, Zhongshan North Road, Taipei City, 10449, Taiwan
| | - Po-Jung Tseng
- Division of Cardiovascular Surgery, Department of Surgery, Hsin Chu Armed Force Hospital, Hsinchu, Taiwan
| | - Kuo-Liong Chien
- Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Room 517, No.17, Xu-Zhou Rd., Taipei, 10055, Taiwan.
- Department of Internal Medicine, National Taiwan University Hospital, No. 7, Zhongshan S. Rd., Zhongzheng Dist., Taipei City, 10002, Taiwan.
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Wang K, Kavousi M, Voortman T, Ikram MA, Ghanbari M, Ahmadizar F. Cardiovascular health, genetic predisposition, and lifetime risk of type 2 diabetes. Eur J Prev Cardiol 2021; 28:1850-1857. [PMID: 34583386 DOI: 10.1093/eurjpc/zwab141] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/28/2021] [Revised: 07/27/2021] [Accepted: 08/10/2021] [Indexed: 11/14/2022]
Abstract
AIMS Data on the lifetime risk of type 2 diabetes (T2D) incidence across different cardiovascular health (CVH) categories are scarce. Moreover, it remains unclear whether a genetic predisposition modifies this association. METHODS AND RESULTS Using data from the prospective population-based Rotterdam Study, a CVH score (body mass index, blood pressure, total cholesterol, smoking status, diet, and physical activity) was calculated and further categorized at baseline. Genetic predisposition to T2D was assessed and divided into tertiles by creating a genetic risk score (GRS). We estimated the lifetime risk for T2D within different CVH and GRS categories. Among 5993 individuals free of T2D at baseline [mean (standard deviation) age, 69.1 (8.5) years; 58% female], 869 individuals developed T2D during follow-up. At age 55 years, the remaining lifetime risk of T2D was 22.6% (95% CI: 19.4-25.8) for ideal, 28.3% (25.8-30.8) for intermediate, and 32.6% (29.0-36.2) for poor CVH. After further stratification by GRS tertiles, the lifetime risk for T2D was still the lowest for ideal CVH in the lowest GRS tertiles [21.5% (13.7-29.3)], in the second GRS tertile [20.8% (15.9-25.8)], and in the highest tertile [23.5% (18.5-28.6)] when compared with poor and intermediate CVH. CONCLUSION Our results highlight the importance of favourable CVH in preventing T2D among middle-aged individuals regardless of their genetic predisposition.
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Affiliation(s)
- Kan Wang
- Department of Epidemiology, Erasmus University Medical Center, Doctor Molewaterplein 40, 3015 GD Rotterdam, the Netherlands
| | - Maryam Kavousi
- Department of Epidemiology, Erasmus University Medical Center, Doctor Molewaterplein 40, 3015 GD Rotterdam, the Netherlands
| | - Trudy Voortman
- Department of Epidemiology, Erasmus University Medical Center, Doctor Molewaterplein 40, 3015 GD Rotterdam, the Netherlands
| | - M Arfan Ikram
- Department of Epidemiology, Erasmus University Medical Center, Doctor Molewaterplein 40, 3015 GD Rotterdam, the Netherlands
| | - Mohsen Ghanbari
- Department of Epidemiology, Erasmus University Medical Center, Doctor Molewaterplein 40, 3015 GD Rotterdam, the Netherlands
| | - Fariba Ahmadizar
- Department of Epidemiology, Erasmus University Medical Center, Doctor Molewaterplein 40, 3015 GD Rotterdam, the Netherlands
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Dorner TE, Lackinger C, Haider S, Stein KV. Lifestyle Parameters in Patients with Diabetes Mellitus and in the General Adult Population-Trends over Five Years: Results of the Austrian National Health Interview Series. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:ijerph18189910. [PMID: 34574833 PMCID: PMC8467903 DOI: 10.3390/ijerph18189910] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 08/23/2021] [Revised: 09/14/2021] [Accepted: 09/16/2021] [Indexed: 12/26/2022]
Abstract
Background: Not smoking, performing >150 min of aerobic physical activity (PA) and muscle strengthening exercises/week, and consuming >5 portions of fruit and vegetables/day are lifestyle recommendations for both the general population and people with diabetes mellitus (DM). Methods: A total of 15,771 and 15,461 persons from the Austrian Health Interview Surveys 2014 and 2019, respectively, including 4.9% and 6.0% of people with DM, were analysed in terms of their smoking, PA, and nutritional behaviours. Logistic regression models were performed for the lifestyle factors, adjusted for socio-demographic and health-related factors. Adjusted interactions between the survey year and DM on the lifestyle factors were computed. Results: The proportions of smokers were 23.9% and 20.2%, of people complying with the PA recommendations were 24.9% and 21.4%, and with fruit and vegetables recommendations were 7.1% and 5.5%, respectively, with significantly lower proportions of smokers and persons complying with the PA recommendations among people with DM. The fully adjusted odds ratios (95% confidence interval) for people with DM were 1.09 (0.94–1.26), 1.44 (1.23–1.69), and 0.90 (0.71–1.13) for smoking, not complying with PA recommendations, and not complying with fruit and vegetables recommendations, respectively. The proportion of people complying with PA recommendations decreased to a greater extent (p < 0.001) in people with DM (16.5% to 8.3%) compared to people without DM (25.3% to 22.3%). Conclusion: Diabetogenic lifestyle behaviours increased in the general Austrian population in recent years, which was especially true for people with DM regarding PA.
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Affiliation(s)
- Thomas Ernst Dorner
- Social Insurance Fund for Public Service, Railway and Mining Industries, 1080 Vienna, Austria; (T.E.D.); (C.L.)
- Karl-Landsteiner Institute for Health Promotion Research, 3454 Sitzenberg-Reidling, Austria
| | - Christian Lackinger
- Social Insurance Fund for Public Service, Railway and Mining Industries, 1080 Vienna, Austria; (T.E.D.); (C.L.)
- Karl-Landsteiner Institute for Health Promotion Research, 3454 Sitzenberg-Reidling, Austria
| | - Sandra Haider
- Department of Social and Preventive Medicine, Center for Public Health, Medical University of Vienna, 1090 Vienna, Austria;
| | - Katharina Viktoria Stein
- Social Insurance Fund for Public Service, Railway and Mining Industries, 1080 Vienna, Austria; (T.E.D.); (C.L.)
- Karl-Landsteiner Institute for Health Promotion Research, 3454 Sitzenberg-Reidling, Austria
- Correspondence:
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Devaraj SM, Rockette-Wagner B, Miller RG, Arena VC, Napoleone JM, Conroy MB, Kriska AM. The Impact of a Yearlong Diabetes Prevention Program-Based Lifestyle Intervention on Cardiovascular Health Metrics. J Prim Care Community Health 2021; 12:21501327211029816. [PMID: 34236004 PMCID: PMC8274083 DOI: 10.1177/21501327211029816] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
Introduction The American Heart Association created “Life’s Simple Seven” metrics to estimate progress toward improving US cardiovascular health in a standardized manner. Given the widespread use of federally funded Diabetes Prevention Program (DPP)-based lifestyle interventions such as the Group Lifestyle Balance (DPP-GLB), evaluation of change in health metrics within such a program is of national interest. This study examined change in cardiovascular health metric scores during the course of a yearlong DPP-GLB intervention. Methods Data were combined from 2 similar randomized trials offering a community based DPP-GLB lifestyle intervention to overweight/obese individuals with prediabetes and/or metabolic syndrome. Pre/post lifestyle intervention participation changes in 5 of the 7 cardiovascular health metrics were examined at 6 and 12 months (BMI, blood pressure, total cholesterol, fasting plasma glucose, physical activity). Smoking was rare and diet was not measured. Results Among 305 participants with complete data (81.8% of 373 eligible adults), significant improvements were demonstrated in all 5 risk factors measured continuously at 6 and 12 months. There were significant positive shifts in the “ideal” and “total” metric scores at both time points. Also noted were beneficial shifts in the proportion of participants across categories for BMI, activity, and blood pressure. Conclusion AHA-metrics could have clinical utility in estimating an individual’s cardiovascular health status and in capturing improvement in cardiometabolic/behavioral risk factors resulting from participation in a community-based translation of the DPP lifestyle intervention.
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Affiliation(s)
- Susan M Devaraj
- University of Pittsburgh Graduate School of Public Health, Pittsburgh, PA, USA
| | | | - Rachel G Miller
- University of Pittsburgh Graduate School of Public Health, Pittsburgh, PA, USA
| | - Vincent C Arena
- University of Pittsburgh Graduate School of Public Health, Pittsburgh, PA, USA
| | - Jenna M Napoleone
- University of Pittsburgh Graduate School of Public Health, Pittsburgh, PA, USA
| | - Molly B Conroy
- University of Utah School of Medicine, Salt Lake City, UT, USA
| | - Andrea M Kriska
- University of Pittsburgh Graduate School of Public Health, Pittsburgh, PA, USA
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Hu C, Zhang Y, Zhang J, Huo Y, Wan Q, Li M, Qi H, Du R, Zhu Y, Qin Y, Hu R, Shi L, Su Q, Yu X, Yan L, Qin G, Tang X, Chen G, Xu M, Wang T, Zhao Z, Chen Y, Gao Z, Wang G, Shen F, Luo Z, Chen L, Li Q, Ye Z, Zhang Y, Liu C, Wang Y, Wu S, Yang T, Deng H, Chen L, Zhao J, Mu Y, Wang W, Xu Y, Bi Y, Lu J, Ning G. Age at menarche, ideal cardiovascular health metrics, and risk of diabetes in adulthood: Findings from the REACTION study. J Diabetes 2021; 13:458-468. [PMID: 33135296 DOI: 10.1111/1753-0407.13128] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/14/2020] [Revised: 10/08/2020] [Accepted: 10/29/2020] [Indexed: 12/15/2022] Open
Abstract
BACKGROUND Age at menarche was reported to be associated with the risk of diabetes. However, the impact of ideal cardiovascular health metrics (ICVHMs) on the association between age at menarche and adulthood diabetes risk was unclear. METHODS We included 121 431 women from the nationwide, population-based cohort of the REACTION study (Risk Evaluation of Cancers in Chinese Diabetic Individuals: a Longitudinal Study). The diagnosis of diabetes was based on the oral glucose tolerance test (OGTT) and glycosylated hemoglobin (HbA1c) measurement. Logistic regression and multiplicative interaction analysis were conducted to investigate the potential interaction effect between age at menarche and ICVHMs on the development of diabetes. RESULTS The multivariable-adjusted odds ratios of diabetes across categories of age at menarche (<14, 14-17, and > 17 years) were 1.22 (95% confidence interval [CI]: 1.17, 1.28), 1.00 (reference), and 0.89 (95% CI: 0.85, 0.93), respectively. In subgroup analysis, significant interactions were detected between total cholesterol/blood pressure levels and age at menarche regarding the risk of diabetes (P for interaction = .0091 and .0019, respectively). The increased risk associated with age at menarche <14 years was observed in participants with three or fewer ICVHMs, but not in women with four or more ICVHMs (P for interaction = .0001). CONCLUSIONS Age at menarche was inversely associated with the risk of diabetes in adulthood in Chinese women, and it appeared to be modified by the presence of ICVHMs. Further studies are needed to clarify the precise interrelationship and the generalizability of our results.
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Affiliation(s)
- Chunyan Hu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yi Zhang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jie Zhang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yanan Huo
- Jiangxi Provincial People's Hospital Affiliated to Nanchang University, Nanchang, China
| | - Qin Wan
- The Affiliated Hospital of Luzhou Medical College, Luzhou, China
| | - Mian Li
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Hongyan Qi
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Rui Du
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yuanyue Zhu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yingfen Qin
- The First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Ruying Hu
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China
| | - Lixin Shi
- Affiliated Hospital of Guiyang Medical College, Guiyang, China
| | - Qing Su
- Xinhua Hospital Affiliated to Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Xuefeng Yu
- Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Li Yan
- Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China
| | - Guijun Qin
- The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Xulei Tang
- The First Hospital of Lanzhou University, Lanzhou, China
| | - Gang Chen
- Fujian Provincial Hospital, Fujian Medical University, Fuzhou, China
| | - Min Xu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Tiange Wang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Zhiyun Zhao
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yuhong Chen
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Zhengnan Gao
- Dalian Municipal Central Hospital, Dalian, China
| | - Guixia Wang
- The First Hospital of Jilin University, Changchun, China
| | - Feixia Shen
- The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Zuojie Luo
- The First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Li Chen
- Qilu Hospital of Shandong University, Jinan, China
| | - Qiang Li
- The Second Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Zhen Ye
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China
| | - Yinfei Zhang
- Central Hospital of Shanghai Jiading District, Shanghai, China
| | - Chao Liu
- Jiangsu Province Hospital on Integration of Chinese and Western Medicine, Nanjing, China
| | - Youmin Wang
- The First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Shengli Wu
- Karamay Municipal People's Hospital, Xinjiang, China
| | - Tao Yang
- The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Huacong Deng
- The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Lulu Chen
- Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Jiajun Zhao
- Shandong Provincial Hospital affiliated to Shandong University, Jinan, China
| | - Yiming Mu
- Chinese People's Liberation Army General Hospital, Beijing, China
| | - Weiqing Wang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yu Xu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yufang Bi
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jieli Lu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Guang Ning
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
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Alonso-Pedrero L, Ojeda-Rodríguez A, Zalba G, Razquin C, Martínez-González MÁ, Bes-Rastrollo M, Marti A. Association between ideal cardiovascular health and telomere length in participants older than 55 years old from the SUN cohort. REVISTA ESPANOLA DE CARDIOLOGIA (ENGLISH ED.) 2021; 75:308-315. [PMID: 33994338 DOI: 10.1016/j.rec.2021.04.002] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Received: 01/18/2021] [Accepted: 04/05/2021] [Indexed: 10/21/2022]
Abstract
INTRODUCTION AND OBJECTIVES Telomeres are noncoding regions located at the end of chromosomes and their shortening has been associated with risk factors and cardiovascular disease. The aim of this study was to evaluate the association between ideal cardiovascular health (Life's simple 7) and the odds of having short telomeres in a subsample of participants older than 55 years from the Seguimiento Universidad de Navarra (SUN) study. METHODS We included 886 participants older than 55 years (645 men and 241 women). Telomere length was measured using a real-time quantitative polymerase chain reaction. Cardiovascular health score was defined by the American Heart Association as a composite score of 7 key risk factors (smoking status, physical activity, diet, body mass index, blood pressure, total cholesterol, and fasting blood glucose) with 0 to 2 points for each factor. We categorized this score in tertiles as poor (0-9 points), intermediate (10-11 points) and ideal (12-14 points). The odds of having short telomeres was defined as telomere length below the 20th percentile. RESULTS Individuals with higher ideal cardiovascular health had a lower prevalence of having short telomeres (adjusted OR, 0.60; 95%CI, 0.34-1.05; P trend=.052). This association was statistically significant in men (adjusted OR, 0.37; 95%CI, 0.17-0.83; P trend=.025) but not in women. CONCLUSIONS An inverse association between cardiovascular health score and short telomeres was found especially for men older than 55 years in the SUN population. The SUN project was registered at ClinicalTrials.gov (Identifier: NCT02669602).
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Affiliation(s)
- Lucia Alonso-Pedrero
- Departamento de Ciencias de la Alimentación y Fisiología, Universidad de Navarra, Pamplona, Navarra, Spain; Instituto de Investigación Sanitaria de Navarra (IdiSNA), Pamplona, Navarra, Spain
| | - Ana Ojeda-Rodríguez
- Departamento de Ciencias de la Alimentación y Fisiología, Universidad de Navarra, Pamplona, Navarra, Spain; Instituto de Investigación Sanitaria de Navarra (IdiSNA), Pamplona, Navarra, Spain
| | - Guillermo Zalba
- Instituto de Investigación Sanitaria de Navarra (IdiSNA), Pamplona, Navarra, Spain; Departamento de Bioquímica y Genética, Universidad de Navarra, Pamplona, Navarra, Spain
| | - Cristina Razquin
- Departamento de Medicina Preventiva y Salud Pública, Universidad de Navarra, Pamplona, Navarra, Spain
| | - Miguel Á Martínez-González
- Instituto de Investigación Sanitaria de Navarra (IdiSNA), Pamplona, Navarra, Spain; Departamento de Medicina Preventiva y Salud Pública, Universidad de Navarra, Pamplona, Navarra, Spain; Centro de Investigación Biomédica en Red-Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Carlos III, Madrid, Spain; Department of Nutrition, Harvard TH Chan School of Public Health, Boston, United States
| | - Maira Bes-Rastrollo
- Instituto de Investigación Sanitaria de Navarra (IdiSNA), Pamplona, Navarra, Spain; Departamento de Medicina Preventiva y Salud Pública, Universidad de Navarra, Pamplona, Navarra, Spain; Centro de Investigación Biomédica en Red-Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Carlos III, Madrid, Spain
| | - Amelia Marti
- Departamento de Ciencias de la Alimentación y Fisiología, Universidad de Navarra, Pamplona, Navarra, Spain; Instituto de Investigación Sanitaria de Navarra (IdiSNA), Pamplona, Navarra, Spain; Centro de Investigación Biomédica en Red-Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Carlos III, Madrid, Spain.
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Herzog K, Ahlqvist E, Alfredsson L, Groop L, Hjort R, Löfvenborg JE, Tuomi T, Carlsson S. Combined lifestyle factors and the risk of LADA and type 2 diabetes - Results from a Swedish population-based case-control study. Diabetes Res Clin Pract 2021; 174:108760. [PMID: 33744376 DOI: 10.1016/j.diabres.2021.108760] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/06/2021] [Revised: 03/01/2021] [Accepted: 03/09/2021] [Indexed: 11/30/2022]
Abstract
AIMS We investigated the risk of latent autoimmune diabetes in adults (LADA) and type 2 diabetes in relation to a healthy lifestyle, the proportion of patients attributable to an unhealthy lifestyle, and the influence of family history of diabetes (FHD) and genetic susceptibility. METHODS The population-based study included incident LADA (n = 571), type 2 diabetes (n = 1962), and matched controls (n = 2217). A healthy lifestyle was defined by BMI < 25 kg/m2, moderate-to-high physical activity, a healthy diet, no smoking, and moderate alcohol consumption. We estimated odds ratios (OR) with 95% confidence intervals (CIs) adjusted for age, sex, education, and FHD. RESULTS Compared to a poor/moderate lifestyle, a healthy lifestyle was associated with a reduced risk of LADA (OR 0.51, CI 0.34-0.77) and type 2 diabetes (OR 0.09, CI 0.05-0.15). A healthy lifestyle conferred a reduced risk irrespective of FHD and high-risk HLA genotypes. Having a BMI < 25 kg/m2 conferred the largest risk reduction for both LADA (OR 0.54, CI 0.43-0.66) and type 2 diabetes (OR 0.12, CI 0.10-0.15) out of the individual items. CONCLUSION People with a healthy lifestyle, especially a healthy body weight, have a reduced risk of LADA including those with genetic susceptibility to diabetes.
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Affiliation(s)
- Katharina Herzog
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden.
| | - Emma Ahlqvist
- Department of Clinical Sciences, Lund University, Malmö, Sweden
| | - Lars Alfredsson
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Leif Groop
- Department of Clinical Sciences, Lund University, Malmö, Sweden
| | - Rebecka Hjort
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | | | - Tiinamaija Tuomi
- Department of Clinical Sciences, Lund University, Malmö, Sweden; Institute for Molecular Medicine Finland FIMM, University of Helsinki, Helsinki, Finland; Division of Endocrinology, Abdominal Center, Helsinki University Hospital, Research Program for Clinical and Molecular Metabolism, University of Helsinki, Helsinki, Finland
| | - Sofia Carlsson
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
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Kaufman JA, Mattison C, Fretts AM, Umans JG, Cole SA, Voruganti VS, Goessler W, Best LG, Zhang Y, Tellez-Plaza M, Navas-Acien A, Gribble MO. Arsenic, blood pressure, and hypertension in the Strong Heart Family Study. ENVIRONMENTAL RESEARCH 2021; 195:110864. [PMID: 33581093 PMCID: PMC8021390 DOI: 10.1016/j.envres.2021.110864] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/07/2020] [Revised: 02/02/2021] [Accepted: 02/05/2021] [Indexed: 06/12/2023]
Abstract
BACKGROUND Arsenic has been associated with hypertension, though it is unclear whether associations persist at the exposure concentrations (e.g. <100 μg/L) in drinking water occurring in parts of the Western United States. METHODS We assessed associations between arsenic biomarkers and systolic blood pressure (SBP), diastolic blood pressure (DBP), and hypertension in the Strong Heart Family Study, a family-based cohort of American Indians from the Northern plains, Southern plains, and Southwest. We included 1910 participants from three study centers with complete baseline visit data (2001-2003) in the cross-sectional analysis of all three outcomes, and 1453 participants in the prospective analysis of incident hypertension (follow-up 2006-2009). We used generalized estimating equations with exchangeable correlation structure conditional on family membership to estimate the association of arsenic exposure biomarker levels with SBP or DBP (linear regressions) or hypertension prevalence and incidence (Poisson regressions), adjusting for urine creatinine, urine arsenobetaine, and measured confounders. RESULTS We observed cross-sectional associations for a two-fold increase in inorganic and methylated urine arsenic species of 0.64 (95% CI: 0.07, 1.35) mm Hg for SBP, 0.49 (95% CI: 0.03, 1.02) mm Hg for DBP, and a prevalence ratio of 1.10 (95% CI: 1.01, 1.21) for hypertension in fully adjusted models. During follow-up, 14% of subjects developed hypertension. We observed non-monotonic relationships between quartiles of arsenic and incident hypertension. Effect estimates were null for incident hypertension with continuous exposure metrics. Stratification by study site revealed elevated associations in Arizona, the site with the highest arsenic levels, while results for Oklahoma and North and South Dakota were largely null. Blood pressure changes with increasing arsenic concentrations were larger for those with diabetes at baseline. CONCLUSIONS Our results suggest a modest cross-sectional association of arsenic exposure biomarkers with blood pressure, and possible non-linear effects on incident hypertension.
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Affiliation(s)
- John A Kaufman
- Department of Epidemiology, Emory University, Atlanta, GA, USA.
| | - Claire Mattison
- Department of Environmental Health, Emory University, Atlanta, GA, USA
| | - Amanda M Fretts
- Department of Epidemiology, University of Washington School of Public Health, Seattle, WA, USA
| | - Jason G Umans
- Department of Medicine, Georgetown University Medical Center, Washington, DC, USA
| | - Shelley A Cole
- Texas Biomedical Research Institute, San Antonio, TX, USA
| | - V Saroja Voruganti
- Department of Nutrition, University of North Carolina, Chapel Hill, NC, USA
| | | | - Lyle G Best
- Missouri Breaks Industries Research, Inc., Eagle Butte, SD, United States
| | - Ying Zhang
- Department of Biostatistics and Epidemiology, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
| | - Maria Tellez-Plaza
- Department of Chronic Diseases Epidemiology, National Center for Epidemiology, Carlos III Health Institute, Madrid, Spain
| | - Ana Navas-Acien
- Department of Environmental Health Sciences, Columbia University, New York, NY, USA
| | - Matthew O Gribble
- Department of Epidemiology, Emory University, Atlanta, GA, USA; Department of Environmental Health, Emory University, Atlanta, GA, USA
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45
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Malik R, Georgakis MK, Neitzel J, Rannikmäe K, Ewers M, Seshadri S, Sudlow CLM, Dichgans M. Midlife vascular risk factors and risk of incident dementia: Longitudinal cohort and Mendelian randomization analyses in the UK Biobank. Alzheimers Dement 2021; 17:1422-1431. [PMID: 33749976 DOI: 10.1002/alz.12320] [Citation(s) in RCA: 76] [Impact Index Per Article: 25.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2020] [Revised: 12/18/2020] [Accepted: 02/05/2021] [Indexed: 01/04/2023]
Abstract
INTRODUCTION Midlife clustering of vascular risk factors has been associated with late-life dementia, but causal effects of individual biological and lifestyle factors remain largely unknown. METHODS Among 229,976 individuals (mean follow-up 9 years), we explored whether midlife cardiovascular health measured by Life's Simple 7 (LS7) is associated with incident all-cause dementia and whether the individual components of the score are causally associated with dementia. RESULTS Adherence to the biological metrics of LS7 (blood pressure, cholesterol, glycemic status) was associated with lower incident dementia risk (hazard ratio = 0.93 per 1-point increase, 95% confidence interval [CI; 0.89-0.96]). In contrast, there was no association between the composite LS7 score and the lifestyle subscore (smoking, body mass index, diet, physical activity) and incident dementia. In Mendelian randomization analyses, genetically elevated blood pressure was associated with higher risk of dementia (odds ratio = 1.31 per one-standard deviation increase, 95% CI [1.05-1.60]). DISCUSSION These findings underscore the importance of blood pressure control in midlife to mitigate dementia risk.
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Affiliation(s)
- Rainer Malik
- Institute for Stroke and Dementia Research (ISD), University Hospital, Ludwig-Maximilians-University LMU, Munich, Germany
| | - Marios K Georgakis
- Institute for Stroke and Dementia Research (ISD), University Hospital, Ludwig-Maximilians-University LMU, Munich, Germany
| | - Julia Neitzel
- Institute for Stroke and Dementia Research (ISD), University Hospital, Ludwig-Maximilians-University LMU, Munich, Germany
| | - Kristiina Rannikmäe
- Centre for Medical Informatics, Usher Institute, University of Edinburgh, Edinburgh, UK
| | - Michael Ewers
- Institute for Stroke and Dementia Research (ISD), University Hospital, Ludwig-Maximilians-University LMU, Munich, Germany
| | - Sudha Seshadri
- The Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases, University of Texas Health Sciences Center, San Antonio, Texas, USA
| | - Cathie L M Sudlow
- Center for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK.,Nine Bioquarter, Usher Institute of Population Health Sciences and Informatics, Edinburgh, UK
| | - Martin Dichgans
- Institute for Stroke and Dementia Research (ISD), University Hospital, Ludwig-Maximilians-University LMU, Munich, Germany.,German Center for Neurodegenerative Diseases (DZNE), Munich, Germany.,Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
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46
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Hawley CN, Huber CM, Best LG, Howard BV, Umans J, Beresford SAA, McKnight B, Hager A, O'Leary M, Thorndike AN, Ornelas IJ, Brown MC, Fretts AM. Cooking for Health: a healthy food budgeting, purchasing, and cooking skills randomized controlled trial to improve diet among American Indians with type 2 diabetes. BMC Public Health 2021; 21:356. [PMID: 33588808 PMCID: PMC7883757 DOI: 10.1186/s12889-021-10308-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2021] [Accepted: 01/21/2021] [Indexed: 01/15/2023] Open
Abstract
Background The prevalence of poor diet quality and type 2 diabetes are exceedingly high in many rural American Indian (AI) communities. Because of limited resources and infrastructure in some communities, implementation of interventions to promote a healthy diet is challenging—which may exacerbate health disparities by region (urban/rural) and ethnicity (AIs/other populations). It is critical to adapt existing evidence-based healthy food budgeting, purchasing, and cooking programs to be relevant to underserved populations with a high burden of diabetes and related complications. The Cooking for Health Study will work in partnership with an AI community in South Dakota to develop a culturally-adapted 12-month distance-learning-based healthy food budgeting, purchasing, and cooking intervention to improve diet among AI adults with type 2 diabetes. Methods The study will enroll 165 AIs with physician-diagnosed type 2 diabetes who reside on the reservation. Participants will be randomized to an intervention or control arm. The intervention arm will receive a 12-month distance-learning curriculum adapted from Cooking Matters® that focuses on healthy food budgeting, purchasing, and cooking skills. In-person assessments at baseline, month 6 and month 12 will include completion of the Nutrition Assessment Shared Resources Food Frequency Questionnaire and a survey to assess frequency of healthy and unhealthy food purchases. Primary outcomes of interest are: (1) change in self-reported intake of sugar-sweetened beverages (SSBs); and (2) change in the frequency of healthy and unhealthy food purchases. Secondary outcomes include: (1) change in self-reported food budgeting skills; (2) change in self-reported cooking skills; and (3) a mixed-methods process evaluation to assess intervention reach, fidelity, satisfaction, and dose delivered/received. Discussion Targeted and sustainable interventions are needed to promote optimal health in rural AI communities. If effective, this intervention will reduce intake of SSBs and the purchase of unhealthy foods; increase the purchase of healthy foods; and improve healthy food budgeting and cooking skills among AIs with type 2 diabetes – a population at high risk of poor health outcomes. This work will help inform future health promotion efforts in resource-limited settings. Trial registration This study was registered on ClinicalTrials.gov on October 9, 2018 with Identifier NCT03699709. Supplementary Information The online version contains supplementary material available at 10.1186/s12889-021-10308-8.
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Affiliation(s)
- Caitlin N Hawley
- Department of Medicine, University of Washington, 1410 NE Campus Parkway, Seattle, WA, 98195, USA
| | - Corrine M Huber
- Missouri Breaks Industries Research Inc, 118 S Willow St, Eagle Butte, SD, 57625, USA
| | - Lyle G Best
- Missouri Breaks Industries Research Inc, 118 S Willow St, Eagle Butte, SD, 57625, USA
| | - Barbara V Howard
- Medstar Health Research Institute, 6525 Belcrest Rd #700c, Hyattsville, MD, 20785, USA.,Georgetown and Howard Universities Center for Clinical and Translational Science, 4000 Reservoir Road NW, Washington, DC, 20007, USA
| | - Jason Umans
- Medstar Health Research Institute, 6525 Belcrest Rd #700c, Hyattsville, MD, 20785, USA
| | - Shirley A A Beresford
- Department of Epidemiology, University of Washington, 1410 NE Campus Parkway, Seattle, WA, 98195, USA
| | - Barbara McKnight
- Department of Biostatistics, University of Washington, 1410 NE Campus Parkway, Seattle, WA, 98195, USA
| | - Arlette Hager
- Cheyenne River Sioux Tribe Adult Diabetes Program, 24276 Airport Rd, Eagle Butte, SD, 57625, USA
| | - Marcia O'Leary
- Missouri Breaks Industries Research Inc, 118 S Willow St, Eagle Butte, SD, 57625, USA
| | - Anne N Thorndike
- Massachusetts General Hospital and Harvard Medical School, 55 Fruit St, Boston, MA, 02114, USA
| | - India J Ornelas
- Department of Health Services, 1410 NE Campus Parkway, Seattle, WA, 98195, USA
| | - Meagan C Brown
- Department of Epidemiology, University of Washington, 1410 NE Campus Parkway, Seattle, WA, 98195, USA
| | - Amanda M Fretts
- Department of Epidemiology, University of Washington, 1410 NE Campus Parkway, Seattle, WA, 98195, USA.
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Corlin L, Short MI, Vasan RS, Xanthakis V. Association of the Duration of Ideal Cardiovascular Health Through Adulthood With Cardiometabolic Outcomes and Mortality in the Framingham Offspring Study. JAMA Cardiol 2021; 5:549-556. [PMID: 32159731 DOI: 10.1001/jamacardio.2020.0109] [Citation(s) in RCA: 60] [Impact Index Per Article: 20.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
Importance The American Heart Association ideal cardiovascular health (CVH) score is associated with the risk of cardiovascular disease (CVD) and mortality. However, it is unclear whether the number of years spent in ideal CVH is associated with morbidity or with mortality. Objective To evaluate whether living longer with a higher CVH score in midlife is associated with lower risk of hypertension, diabetes, chronic kidney disease, CVD and its subtypes (coronary heart disease, stroke, congestive heart failure, and peripheral artery disease), or all-cause mortality in later life. Design, Setting, and Participants This prospective cohort study used data from 1445 participants from 1991 to 2015 who participated in the community-based Framingham Heart Study Offspring investigation conducted in Massachusetts. The CVH scores of participants were assessed at examination cycles 5, 6, and 7 (1991-1995; 1995-1998; and 1998-2001, respectively). Individuals were excluded from analyses of the association between duration of CVH score and outcomes if they had the outcome of interest at the seventh examination. The median follow-up was approximately 16 years. Data were analyzed from April 2018 to October 2019. The CVH score categories were poor for scores 0 to 7, intermediate for scores 8 to 11, and ideal for scores 12 to 14. A composite score was derived based on smoking status, diet, physical activity, resting blood pressure levels, body mass index, fasting blood glucose levels, and total serum cholesterol levels. Main Outcomes and Measures Number of events and number at risk for each main outcome, including incident hypertension, diabetes, chronic kidney disease, CVD, and all-cause mortality, after the seventh examination. Results Of 1445 eligible participants, the mean (SD) age was 60 (9) years, and 751 (52%) were women. Number of events/number at risk for each main outcome after the seventh examination were 348/795 for incident hypertension, 104/1304 for diabetes, 198/918 for chronic kidney disease, 210/1285 for CVD, and 300/1445 for all-cause mortality. At the seventh examination, participants mostly had poor (568 [39%]) or intermediate (782 [54%]) CVH scores. For each antecedent (before examination cycle 7) 5-year duration that participants had intermediate or ideal CVH, they were less likely to develop adverse outcomes (hazards ratios of 0.67 [95% CI, 0.56-0.80] for incident hypertension, 0.73 [95% CI, 0.57-0.93] for diabetes, 0.75 [95% CI, 0.63-0.89] for chronic kidney disease, 0.73 [95% CI, 0.63-0.85] for CVD, and 0.86 [95% CI, 0.76-0.97] for all-cause mortality) relative to living the same amount of time in poor CVH (referent group). No effect modification was observed by age or by sex. Conclusions and Relevance These results suggest that more time spent in better CVH in midlife may have salutary cardiometabolic benefits and may be associated with lower mortality later in life.
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Affiliation(s)
- Laura Corlin
- Section of Preventive Medicine and Epidemiology, Department of Medicine, Boston University School of Medicine, Boston, Massachusetts.,Department of Public Health and Community Medicine, Tufts University School of Medicine, Boston, Massachusetts
| | - Meghan I Short
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts.,Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases, University of Texas Health Science Center at San Antonio, San Antonio
| | - Ramachandran S Vasan
- Section of Preventive Medicine and Epidemiology, Department of Medicine, Boston University School of Medicine, Boston, Massachusetts.,Department of Epidemiology, Boston University School of Public Health, Boston, Massachusetts.,Framingham Heart Study, Framingham, Massachusetts
| | - Vanessa Xanthakis
- Section of Preventive Medicine and Epidemiology, Department of Medicine, Boston University School of Medicine, Boston, Massachusetts.,Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts.,Framingham Heart Study, Framingham, Massachusetts
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DeCoste LR, Wang N, Palmisano JN, Mendez J, Hoffmann U, Benjamin EJ, Long MT. Adherence to Ideal Cardiovascular Health Metrics Is Associated With Reduced Odds of Hepatic Steatosis. Hepatol Commun 2021; 5:74-82. [PMID: 33437902 PMCID: PMC7789839 DOI: 10.1002/hep4.1614] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/16/2020] [Revised: 08/27/2020] [Accepted: 08/30/2020] [Indexed: 02/01/2023] Open
Abstract
The American Heart Association (AHA) introduced Life's Simple 7 as a metric to define ideal cardiovascular health. We examined the association between cardiovascular health score (CHS) and prevalent nonalcoholic fatty liver disease (NAFLD) among Framingham Heart Study participants with varying genetic risk of NAFLD. Framingham Heart Study participants who underwent abdominal computed tomography scans were included (n = 2,773). We defined hepatic steatosis as the mean Hounsfield unit attenuation of the liver compared to a phantom control. We calculated CHS based on adherence to metrics from the AHA's Life's Simple 7 guidelines, including blood sugar, total cholesterol, blood pressure, body mass index (BMI), time spent on physical activity per week, and smoking status. We used multivariable-adjusted regression models to evaluate the association between CHS and hepatic steatosis, accounting for covariates and stratifying by NAFLD genetic risk. Overall, 12% of the sample achieved 0-1 goals and 25%, 27%, 21%, 13%, and 2.6% achieved 2, 3, 4, 5, or 6 goals, respectively. For each 1-unit increase in CHS, there was a decrease in the odds ratio (OR) of prevalent hepatic steatosis (OR, 0.54; 95% confidence interval, 0.49-0.59). Individually, BMI had the strongest association with NAFLD. Participants with high or intermediate genetic risk of NAFLD demonstrated higher relative decreases in hepatic steatosis with increased CHS compared to those at low genetic risk. Conclusion: Adhering to the AHA Life's Simple 7 metrics was associated with reduced odds of prevalent NAFLD, particularly for those at high genetic risk. Additional longitudinal studies are needed.
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Affiliation(s)
- Leah R DeCoste
- Evans Department of MedicineBoston University School of MedicineBostonMAUS
| | - Na Wang
- Department of Mathematics and StatisticsBoston University School of Public HealthBostonMAUS
| | - Joseph N Palmisano
- Department of Mathematics and StatisticsBoston University School of Public HealthBostonMAUS
| | - Jean Mendez
- Section of GastroenterologyBoston Medical CenterBoston University School of MedicineBostonMAUS
| | - Udo Hoffmann
- Radiology DepartmentMassachusetts General HospitalHarvard Medical SchoolBostonMAUS
| | - Emelia J Benjamin
- Whitaker Cardiovascular Institute and Cardiology SectionEvans Department of MedicineBoston University School of MedicineBostonMAUS.,Department of EpidemiologyBoston University School of Public HealthBostonMAUS.,Boston University and the National Heart, Lung, and Blood Institutes' Framingham Heart StudyFraminghamMAUS
| | - Michelle T Long
- Section of GastroenterologyBoston Medical CenterBoston University School of MedicineBostonMAUS
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Egan BM, Li J, Sutherland SE, Jones DW, Ferdinand KC, Hong Y, Sanchez E. Sociodemographic Determinants of Life's Simple 7: Implications for Achieving Cardiovascular Health and Health Equity Goals. Ethn Dis 2020; 30:637-650. [PMID: 32989364 DOI: 10.18865/ed.30.4.637] [Citation(s) in RCA: 28] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
Background Life's Simple 7 (LS7; nutrition, physical activity, cigarette use, body mass index, blood pressure, cholesterol, glucose) predicts cardiovascular health. The principal objective of our study was to define demographic and socioeconomic factors associated with LS7 to better inform programs addressing cardiovascular health and health equity. Methods National Health and Nutrition Examination Surveys 1999-2016 data were analyzed on non-Hispanic White [NHW], NH Black [NHB], and Hispanic adults aged ≥20 years without cardiovascular disease. Each LS7 variable was assigned 0, 1, or 2 points for poor, intermediate, and ideal levels, respectively. Composite LS7 scores were grouped as poor (0-4 points), intermediate (5-9), and ideal (10-14). Results 32,803 adults were included. Mean composite LS7 scores were below ideal across race/ethnicity groups. After adjusting for confounders, NHBs were less likely to have optimal LS7 scores than NHW (multivariable odds ratios (OR .44; 95% CI .37-.53), whereas Hispanics tended to have better scores (1.18; .96-1.44). Hispanics had more ideal LS7 scores than NHBs, although Hispanics had lower incomes and less education, which were independently associated with fewer ideal LS7 scores. Adults aged ≥45 years were less likely to have ideal LS7 scores (.11; .09-.12) than adults aged <45 years. Conclusions NHBs were the least likely to have optimal scores, despite higher incomes and more education than Hispanics, consistent with structural racism and Hispanic paradox. Programs to optimize lifestyle should begin in childhood to mitigate precipitous age-related declines in LS7 scores, especially in at-risk groups. Promoting higher education and reducing poverty are also important.
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Affiliation(s)
- Brent M Egan
- American Medical Association, Improving Health Outcomes, Greenville, SC.,University of South Carolina School of Medicine-Greenville, SC
| | - Jiexiang Li
- College of Charleston, Department of Mathematics, Charleston, SC
| | - Susan E Sutherland
- American Medical Association, Improving Health Outcomes, Greenville, SC.,University of South Carolina School of Medicine-Greenville, SC
| | - Daniel W Jones
- University of Mississippi Medical Center, Center for Obesity Research, Jackson, MS
| | - Keith C Ferdinand
- Tulane University School of Medicine, Tulane Heart and Vascular Institute, New Orleans, LA
| | - Yuling Hong
- Centers for Disease Control, Division of Heart Disease and Stroke Prevention, Atlanta, GA
| | - Eduardo Sanchez
- American Heart Association, Center for Health Metrics and Evaluation, Dallas, TX
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50
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Lu J, Li M, Xu Y, Bi Y, Qin Y, Li Q, Wang T, Hu R, Shi L, Su Q, Xu M, Zhao Z, Chen Y, Yu X, Yan L, Du R, Hu C, Qin G, Wan Q, Chen G, Dai M, Zhang D, Gao Z, Wang G, Shen F, Luo Z, Chen L, Huo Y, Ye Z, Tang X, Zhang Y, Liu C, Wang Y, Wu S, Yang T, Deng H, Li D, Lai S, Bloomgarden ZT, Chen L, Zhao J, Mu Y, Ning G, Wang W. Early Life Famine Exposure, Ideal Cardiovascular Health Metrics, and Risk of Incident Diabetes: Findings From the 4C Study. Diabetes Care 2020; 43:1902-1909. [PMID: 32499384 DOI: 10.2337/dc19-2325] [Citation(s) in RCA: 32] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/20/2019] [Accepted: 04/23/2020] [Indexed: 02/03/2023]
Abstract
OBJECTIVE We aim to investigate the impact of ideal cardiovascular health metrics (ICVHMs) on the association between famine exposure and adulthood diabetes risk. RESEARCH DESIGN AND METHODS This study included 77,925 participants from the China Cardiometabolic Disease and Cancer Cohort (4C) Study who were born around the time of the Chinese Great Famine and free of diabetes at baseline. They were divided into three famine exposure groups according to the birth year, including nonexposed (1963-1974), fetal exposed (1959-1962), and childhood exposed (1949-1958). Relative risk regression was used to examine the associations between famine exposure and ICVHMs on diabetes. RESULTS During a mean follow-up of 3.6 years, the cumulative incidence of diabetes was 4.2%, 6.0%, and 7.5% in nonexposed, fetal-exposed, and childhood-exposed participants, respectively. Compared with nonexposed participants, fetal-exposed but not childhood-exposed participants had increased risks of diabetes, with multivariable-adjusted risk ratios (RRs) (95% CIs) of 1.17 (1.05-1.31) and 1.12 (0.96-1.30), respectively. Increased diabetes risks were observed in fetal-exposed individuals with nonideal dietary habits, nonideal physical activity, BMI ≥24.0 kg/m2, or blood pressure ≥120/80 mmHg, whereas significant interaction was detected only in BMI strata (P for interaction = 0.0018). Significant interactions have been detected between number of ICVHMs and famine exposure on the risk of diabetes (P for interaction = 0.0005). The increased risk was observed in fetal-exposed participants with one or fewer ICVHMs (RR 1.59 [95% CI 1.24-2.04]), but not in those with two or more ICVHMs. CONCLUSIONS The increased risk of diabetes associated with famine exposure appears to be modified by the presence of ICVHMs.
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Affiliation(s)
- Jieli Lu
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai National Center for Translational Medicine, Shanghai Institute of Endocrine and Metabolic Diseases, Department of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Mian Li
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai National Center for Translational Medicine, Shanghai Institute of Endocrine and Metabolic Diseases, Department of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yu Xu
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai National Center for Translational Medicine, Shanghai Institute of Endocrine and Metabolic Diseases, Department of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yufang Bi
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai National Center for Translational Medicine, Shanghai Institute of Endocrine and Metabolic Diseases, Department of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yingfen Qin
- The First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Qiang Li
- The Second Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Tiange Wang
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai National Center for Translational Medicine, Shanghai Institute of Endocrine and Metabolic Diseases, Department of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Ruying Hu
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China
| | - Lixin Shi
- Affiliated Hospital of Guiyang Medical College, Guiyang, China
| | - Qing Su
- Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Min Xu
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai National Center for Translational Medicine, Shanghai Institute of Endocrine and Metabolic Diseases, Department of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Zhiyun Zhao
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai National Center for Translational Medicine, Shanghai Institute of Endocrine and Metabolic Diseases, Department of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yuhong Chen
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai National Center for Translational Medicine, Shanghai Institute of Endocrine and Metabolic Diseases, Department of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xuefeng Yu
- Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Li Yan
- Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China
| | - Rui Du
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai National Center for Translational Medicine, Shanghai Institute of Endocrine and Metabolic Diseases, Department of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Chunyan Hu
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai National Center for Translational Medicine, Shanghai Institute of Endocrine and Metabolic Diseases, Department of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Guijun Qin
- The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Qin Wan
- The Affiliated Hospital of Southwest Medical University, Luzhou, China
| | - Gang Chen
- Fujian Provincial Hospital, Fujian Medical University, Fuzhou, China
| | - Meng Dai
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai National Center for Translational Medicine, Shanghai Institute of Endocrine and Metabolic Diseases, Department of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Di Zhang
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai National Center for Translational Medicine, Shanghai Institute of Endocrine and Metabolic Diseases, Department of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Zhengnan Gao
- Dalian Municipal Central Hospital Affiliated to Dalian Medical University, Dalian, China
| | - Guixia Wang
- The First Hospital of Jilin University, Changchun, China
| | - Feixia Shen
- The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Zuojie Luo
- The First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Li Chen
- Qilu Hospital of Shandong University, Jinan, China
| | - Yanan Huo
- Jiangxi Provincial People's Hospital Affiliated to Nanchang University, Nanchang, China
| | - Zhen Ye
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China
| | - Xulei Tang
- The First Hospital of Lanzhou University, Lanzhou, China
| | - Yinfei Zhang
- Central Hospital of Shanghai Jiading District, Shanghai, China
| | - Chao Liu
- Jiangsu Province Hospital on Integration of Chinese and Western Medicine, Nanjing, China
| | - Youmin Wang
- The First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Shengli Wu
- Karamay Municipal People's Hospital, Xinjiang, China
| | - Tao Yang
- The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Huacong Deng
- The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Donghui Li
- Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Shenghan Lai
- Johns Hopkins University School of Medicine, Baltimore, MD
| | | | - Lulu Chen
- Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Jiajun Zhao
- Shandong Provincial Hospital Affiliated to Shandong University, Jinan, China
| | - Yiming Mu
- Chinese People's Liberation Army General Hospital, Beijing, China
| | - Guang Ning
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai National Center for Translational Medicine, Shanghai Institute of Endocrine and Metabolic Diseases, Department of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
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