1
|
Isiozor NM, Laukkanen JA, Voutilainen A, Bensenor IM, Kunutsor SK. Life's Essential 8 is associated with atherosclerotic cardiovascular disease but not venous thromboembolism in men: a prospective cohort study. Ann Med 2023; 55:2233894. [PMID: 37459575 DOI: 10.1080/07853890.2023.2233894] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/20/2023] [Revised: 06/28/2023] [Accepted: 07/03/2023] [Indexed: 07/20/2023] Open
Abstract
Background: Atherosclerotic cardiovascular disease (ASCVD) shares several risk factors with venous thromboembolism (VTE). The American Heart Association's Life's Simple 7 (LS7), which included seven health and behavioural factors for CVD prevention, has recently been upgraded to Life's Essential 8 (LE8) score. We aimed to examine the prospective association between LE8 and the risks of ASCVD and VTE in Finland.Methods: We utilized data based on 1899 men aged 42-61 years in the Kuopio Ischaemic Heart Disease (KIHD) prospective study. The LE8 score was generated from baselines measures of four health behaviours (physical activity, diet, nicotine exposure and sleep health) and four health factors (BMI, blood lipids, blood glucose and blood pressure). Each factor was scored from 0 to 100 and summed into a composite score. Participants were classified into quartiles (Q) based on the total LE8 score - Q1, ≤ 420; Q2, >420 to 485; Q3, >485 to 550; Q4, >550. Multivariable Cox regression models were utilized to determine the hazard ratios (HRs) along with the 95% confidence intervals (CI) for ASCVD and VTE.Results: After median follow-up durations of 24 and 25 years, 889 ASCVD and 127 VTE events were recorded, respectively. The risk of ASCVD was found to be 58% lower in men belonging to the highest LE8 quartile compared to those in the lowest quartile (HR:0.42; 95%CI: 0.34-0.51). There was no significant evidence of an association between LE8 and VTE risk (Q4 vs Q1, HR:1.02; 95%CI: 0.60-1.74).Conclusion: The risk of ASCVD was significantly lower in middle-aged and older Finnish men who had a high LE8 score, but there was no significant association with VTE. Further large-scale prospective studies conducted in women and other population groups are necessary to confirm these findings.
Collapse
Affiliation(s)
- Nzechukwu M Isiozor
- Institute of Clinical Medicine, University of Eastern Finland, Kuopio, Finland
| | - Jari A Laukkanen
- Institute of Clinical Medicine, University of Eastern Finland, Kuopio, Finland
- Institute of Public Health and Clinical Nutrition, University of Eastern Finland, Kuopio, Finland
- Department of Internal Medicine, Central Finland Health Care District, Jyvaskyla, Finland
| | - Ari Voutilainen
- Institute of Public Health and Clinical Nutrition, University of Eastern Finland, Kuopio, Finland
| | | | - Setor K Kunutsor
- Diabetes Research Centre, University of Leicester, Leicester General Hospital, Leicester, UK
| |
Collapse
|
2
|
Armas-Padrón AM, Sicilia-Sosvilla M, Ruiz-Esteban P, Torres A, Hernández D. Association between Cardiovascular Health, C-Reactive Protein, and Comorbidities in Spanish Urban-Dwelling Overweight/Obese Hypertensive Patients. J Cardiovasc Dev Dis 2023; 10:300. [PMID: 37504556 PMCID: PMC10380879 DOI: 10.3390/jcdd10070300] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2023] [Revised: 07/07/2023] [Accepted: 07/11/2023] [Indexed: 07/29/2023] Open
Abstract
The relationship between poorer cardiovascular health metrics (CVHM) plus low-grade inflammation (LGI) and hypertension-mediated organ damage (HMOD) and hypertension-related comorbidities (HRC) in hypertensive populations with an overweight/obese (Ow/Ob) hypertension-related phenotype is understudied. We examined the relationship between the CVHM score and the presence of LGI and Ow/Ob hypertension-associated phenotype morbidities and mortality in 243 hypertensive patients from an urban primary care center. We recorded the baseline CVHM score plus clinical data, including hs-C-reactive protein (CRP) and prevalent and incident HMOD-HRC and death. A total of 26 (10.7%) had a body mass index (BMI) < 25 kg/m2, 95 (31.1%) were overweight (BMI 25-29.9 kg/m2), and 122 (50.2%) were obese (BMI ≥ 30 kg/m2). There were 264 cases of HMOD-HRC and 9 deaths. Higher hs-CRP levels were observed as BMI increased. Linear regression analysis showed a significant correlation between BMI and hs-CRP, adjusted for confounders. Additionally, individuals with a higher hs-CRP tertile had a significant increase in BMI. Significantly lower log hs-CRP levels were found as the number of ideal CVHM scores rose. Multivariate binary logistic regression found the risk of HMOD-HRC increased significantly as the ideal CVHM scores decreased, and hs-CRP levels also correlated with HMOD-HRC in the whole cohort and in the Ow and Ob subpopulations. These findings highlight the need for early intervention targeting ideal CVHMs among hypertensive individuals with an Ow/Ob phenotype in order to attenuate the inflammatory state and prevent cardiovascular disease.
Collapse
Affiliation(s)
- Ana María Armas-Padrón
- La Cuesta Primary Healthcare Centre, Universidad de la Laguna, La Laguna, E-38320 Tenerife, Spain
| | - Miriam Sicilia-Sosvilla
- La Cuesta Primary Healthcare Centre, Universidad de la Laguna, La Laguna, E-38320 Tenerife, Spain
| | - Pedro Ruiz-Esteban
- Nephrology Department, Hospital Regional Universitario de Málaga, University of Málaga, Instituto de Investigación Biomédica de Málaga (IBIMA) Plataforma BIONAND, REDinREN (RD16/0009/0006) and RICORS2040 (RD21/0005/0012), E-29010 Málaga, Spain
| | - Armando Torres
- Nephrology Department, Instituto de Tecnologías Biomédicas-Universidad La Laguna, Hospital Universitario de Canarias, REDinREN (RD16/0009/0031), E-38320 Tenerife, Spain
| | - Domingo Hernández
- Nephrology Department, Hospital Regional Universitario de Málaga, University of Málaga, Instituto de Investigación Biomédica de Málaga (IBIMA) Plataforma BIONAND, REDinREN (RD16/0009/0006) and RICORS2040 (RD21/0005/0012), E-29010 Málaga, Spain
| |
Collapse
|
3
|
Fan H, Xu C, Li W, Huang Y, Hua R, Xiong Y, Yang Y, Feng X, Wang Z, Yuan Z, Zhou J. Ideal Cardiovascular Health Metrics Are Associated with Reduced Severity of Hepatic Steatosis and Liver Fibrosis Detected by Transient Elastography. Nutrients 2022; 14:nu14245344. [PMID: 36558503 PMCID: PMC9780817 DOI: 10.3390/nu14245344] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2022] [Revised: 12/07/2022] [Accepted: 12/13/2022] [Indexed: 12/23/2022] Open
Abstract
Life's Simple 7 (LS7) is the American Heart Association's (AHA) proposal for a healthy lifestyle, also known as cardiovascular health (CVH) metrics. However, the association between CVH metrics and the severity of hepatic steatosis and liver fibrosis detected by transient elastography is unknown. We performed a cross-sectional study using the data from the 2017-2018 National Health and Nutrition Examination Survey (NHANES) cycle. The controlled attenuation parameter (CAP) and liver stiffness measurement (LSM) were used to evaluate the severity of hepatic steatosis and liver fibrosis and to define NAFLD, advanced liver fibrosis, and cirrhosis. A total of 2679 participants were included. Multivariate linear regression analysis revealed that per 1-unit increase in the CVH metric, CAP and LSM decreased by 8.565 units and 0.274 units, respectively. In the multivariate logistic regression analysis, the risk of NAFLD, advanced liver fibrosis, and cirrhosis were 7, 10, and 6 times higher in the poor CVH group than in the ideal CVH group. Subgroup analysis indicated that CVD patients and non-Hispanic whites could benefit more from ideal CVH. In conclusion, adherence to ideal CVH metrics, as proposed by the AHA, can significantly reduce the risk of hepatic steatosis and liver fibrosis.
Collapse
Affiliation(s)
- Heze Fan
- Cardiovascular Department, First Affiliated Hospital of Xi’an Jiao Tong University, Xi’an 710061, China
- Key Laboratory of Environment and Genes Related to Diseases, Ministry of Education, Xi’an 710061, China
| | - Chenbo Xu
- Cardiovascular Department, First Affiliated Hospital of Xi’an Jiao Tong University, Xi’an 710061, China
- Key Laboratory of Environment and Genes Related to Diseases, Ministry of Education, Xi’an 710061, China
| | - Wenyuan Li
- Cardiovascular Department, First Affiliated Hospital of Xi’an Jiao Tong University, Xi’an 710061, China
- Key Laboratory of Environment and Genes Related to Diseases, Ministry of Education, Xi’an 710061, China
| | - Yuzhi Huang
- Cardiovascular Department, First Affiliated Hospital of Xi’an Jiao Tong University, Xi’an 710061, China
- Key Laboratory of Environment and Genes Related to Diseases, Ministry of Education, Xi’an 710061, China
| | - Rui Hua
- Cardiovascular Department, First Affiliated Hospital of Xi’an Jiao Tong University, Xi’an 710061, China
- Key Laboratory of Environment and Genes Related to Diseases, Ministry of Education, Xi’an 710061, China
| | - Ying Xiong
- Cardiovascular Department, First Affiliated Hospital of Xi’an Jiao Tong University, Xi’an 710061, China
- Key Laboratory of Environment and Genes Related to Diseases, Ministry of Education, Xi’an 710061, China
| | - Yuxuan Yang
- Cardiovascular Department, First Affiliated Hospital of Xi’an Jiao Tong University, Xi’an 710061, China
- Key Laboratory of Environment and Genes Related to Diseases, Ministry of Education, Xi’an 710061, China
| | - Xueying Feng
- Cardiovascular Department, First Affiliated Hospital of Xi’an Jiao Tong University, Xi’an 710061, China
- Key Laboratory of Environment and Genes Related to Diseases, Ministry of Education, Xi’an 710061, China
| | - Zihao Wang
- Cardiovascular Department, First Affiliated Hospital of Xi’an Jiao Tong University, Xi’an 710061, China
- Key Laboratory of Environment and Genes Related to Diseases, Ministry of Education, Xi’an 710061, China
| | - Zuyi Yuan
- Cardiovascular Department, First Affiliated Hospital of Xi’an Jiao Tong University, Xi’an 710061, China
- Key Laboratory of Environment and Genes Related to Diseases, Ministry of Education, Xi’an 710061, China
- Correspondence:
| | - Juan Zhou
- Cardiovascular Department, First Affiliated Hospital of Xi’an Jiao Tong University, Xi’an 710061, China
- Key Laboratory of Environment and Genes Related to Diseases, Ministry of Education, Xi’an 710061, China
| |
Collapse
|
4
|
Suzuki Y, Kaneko H, Yano Y, Okada A, Itoh H, Matsuoka S, Fujiu K, Michihata N, Jo T, Takeda N, Morita H, Matsunaga A, Node K, McEvoy JW, Lam CSP, Oparil S, Yasunaga H, Komuro I. Association of Cardiovascular Health Metrics With Risk of Transition to Hypertension in Non-Hypertensive Young Adults. Am J Hypertens 2022; 35:858-866. [PMID: 35639507 DOI: 10.1093/ajh/hpac057] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2022] [Revised: 05/02/2022] [Accepted: 05/04/2022] [Indexed: 02/02/2023] Open
Abstract
BACKGROUND The risk of developing hypertension in young adults and its relationship to modifiable lifestyle factors are unclear. We aimed to examine the association of cardiovascular health (CVH) metrics with the risk of hypertension. METHODS We analyzed 66,876 participants aged 20-39 years, with available blood pressure (BP) data for 5 consecutive years, who had normal or elevated BP at the initial health check-up, enrolled in the JMDC Claims Database. Ideal CVH metrics included nonsmoking, body mass index <25 kg/m2, physical activity at goal, optimal dietary habits, untreated fasting glucose <100 mg/dL, and untreated total cholesterol <200 mg/dL. The primary endpoint was defined as stage 1 or stage 2 hypertension. We defined normal BP, elevated BP, stage 1 hypertension, and stage 2 hypertension according to the 2017 American College of Cardiology/American Heart Association (ACC/AHA) BP guideline. RESULTS The median age was 35 years, and 62% were men. Number of non-ideal CVH metrics was associated with an increasing risk for the development of stage 1 and stage 2 hypertension. Non-ideal body mass index was most strongly associated with a risk for hypertension. This association was more pronounced in women. An annual increase in the number of non-ideal CVH metrics was associated with an elevated risk for the hypertension development. CONCLUSIONS CVH metrics can stratify the risk for hypertension in non-hypertensive adults aged 20-39 years. These findings have important public health implications for the screening and prevention of hypertension. Improving CVH metrics may prevent the risk of developing hypertension in young adults.
Collapse
Affiliation(s)
- Yuta Suzuki
- The Department of Cardiovascular Medicine, The University of Tokyo, Tokyo, Japan.,Department of Rehabilitation Sciences, Kitasato University Graduate School of Medical Sciences, Sagamihara, Japan
| | - Hidehiro Kaneko
- The Department of Cardiovascular Medicine, The University of Tokyo, Tokyo, Japan.,The Department of Advanced Cardiology, The University of Tokyo, Tokyo, Japan
| | - Yuichiro Yano
- YCU Center for Novel and Exploratory Clinical Trials, Yokohama City University Hospital, Yokohama, Japan.,The Department of Family Medicine and Community Health, Duke University, Durham, North Carolina, USA
| | - Akira Okada
- Department of Prevention of Diabetes and Lifestyle-Related Diseases, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Hidetaka Itoh
- The Department of Cardiovascular Medicine, The University of Tokyo, Tokyo, Japan
| | - Satoshi Matsuoka
- The Department of Cardiovascular Medicine, The University of Tokyo, Tokyo, Japan.,Department of Cardiology, New Tokyo Hospital, Matsudo, Japan
| | - Katsuhito Fujiu
- The Department of Cardiovascular Medicine, The University of Tokyo, Tokyo, Japan.,The Department of Advanced Cardiology, The University of Tokyo, Tokyo, Japan
| | - Nobuaki Michihata
- The Department of Health Services Research, The University of Tokyo, Tokyo, Japan
| | - Taisuke Jo
- The Department of Health Services Research, The University of Tokyo, Tokyo, Japan
| | - Norifumi Takeda
- The Department of Cardiovascular Medicine, The University of Tokyo, Tokyo, Japan
| | - Hiroyuki Morita
- The Department of Cardiovascular Medicine, The University of Tokyo, Tokyo, Japan
| | - Atsuhiko Matsunaga
- Department of Rehabilitation Sciences, Kitasato University Graduate School of Medical Sciences, Sagamihara, Japan
| | - Koichi Node
- Department of Cardiovascular Medicine, Saga University, Saga, Japan.,The Department of Clinical Epidemiology and Health Economics, School of Public Health, The University of Tokyo, Tokyo, Japan
| | - John W McEvoy
- National Institute for Prevention and Cardiovascular Health, National University of Ireland, Galway, Ireland.,Johns Hopkins Ciccarone Center for Cardiovascular Disease Prevention, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Carolyn S P Lam
- National Heart Centre Singapore, Singapore.,Duke-NUS Medical School, Singapore.,Department of Cardiology, University of Groningen, University Medical Centre Groningen, Groningen, The Netherlands
| | - Suzanne Oparil
- Department of Medicine, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Hideo Yasunaga
- The Department of Clinical Epidemiology and Health Economics, School of Public Health, The University of Tokyo, Tokyo, Japan
| | - Issei Komuro
- The Department of Cardiovascular Medicine, The University of Tokyo, Tokyo, Japan
| |
Collapse
|
5
|
Choi HR, Chang Y, Kim Y, Cho Y, Kang J, Kwon MJ, Kwon R, Lim GY, Kim KH, Kim H, Hong YS, Park J, Zhao D, Cho J, Guallar E, Park HY, Ryu S. Ideal Cardiovascular Health Metrics and Risk of Incident Early-Onset Vasomotor Symptoms Among Premenopausal Women. J Clin Endocrinol Metab 2022; 107:2666-2673. [PMID: 35596684 PMCID: PMC9387697 DOI: 10.1210/clinem/dgac327] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/31/2022] [Indexed: 12/19/2022]
Abstract
CONTEXT The relationship of ideal cardiovascular health (CVH) behaviors with preventing early-onset vasomotor symptoms (VMSs) is unknown. OBJECTIVE We investigated the association between CVH metrics and the development of early-onset VMSs in premenopausal women. METHODS This cohort study included 2541 premenopausal women aged 42 to 52 years without VMSs at baseline. CVH metrics were defined according to the American Heart Association Life Simple 7 metrics. Owing to limited availability of dietary information, CVH metrics were scored from 0 (unhealthy) to 6 (healthy) and classified into 3 groups: poor (0-2), intermediate (3-4), and ideal (5-6) CVH. VMSs, including hot flashes and night sweats, were assessed using the Menopause-Specific Quality of Life questionnaire. Moderate/severe VMSs was defined as a score of 3 or more points (range, 0 to 6; 6 being most bothersome). RESULTS During a median follow-up of 4.5 years, 1241 women developed VMSs before menopause. After adjustment for age, parity, education level, and alcohol consumption, the hazard ratio (HR) (95% CI) for developing early-onset VMSs comparing poor CVH group to the ideal group was 1.41 (1.07-1.86). CVH scores were also inversely associated with moderate/severe VMSs in a dose-response manner (P for trend = .004); specifically, multivariable-adjusted HRs comparing intermediate and poor CVH groups to the ideal group were 1.20 (95% CI, 1.02-1.43) and 1.57 (95% CI, 1.08-2.29), respectively. CONCLUSION Unfavorable CVH metrics were significantly associated with an increased risk of early-onset VMSs and its more severe forms among premenopausal women.
Collapse
Affiliation(s)
- Hye Rin Choi
- Center for Cohort Studies, Total Healthcare Center, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul 04514, Republic of Korea
- Institute of Medical Research, School of Medicine, Sungkyunkwan University, Suwon, 16419, Republic of Korea
| | - Yoosoo Chang
- Correspondence: Yoosoo Chang, MD, PhD, Department of Occupational and Environmental Medicine, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Samsung Main Bldg B2, 250, Taepyung-ro 2ga, Jung-gu, Seoul 04514, Republic of Korea.
| | - Yejin Kim
- Center for Cohort Studies, Total Healthcare Center, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul 04514, Republic of Korea
| | - Yoosun Cho
- Total Healthcare Center, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul 04514, Republic of Korea
| | - Jeonggyu Kang
- Center for Cohort Studies, Total Healthcare Center, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul 04514, Republic of Korea
| | - Min-Jung Kwon
- Center for Cohort Studies, Total Healthcare Center, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul 04514, Republic of Korea
- Department of Laboratory Medicine, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul 04514, Republic of Korea
| | - Ria Kwon
- Center for Cohort Studies, Total Healthcare Center, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul 04514, Republic of Korea
- Institute of Medical Research, School of Medicine, Sungkyunkwan University, Suwon, 16419, Republic of Korea
| | - Ga-Young Lim
- Center for Cohort Studies, Total Healthcare Center, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul 04514, Republic of Korea
- Institute of Medical Research, School of Medicine, Sungkyunkwan University, Suwon, 16419, Republic of Korea
| | - Kye-Hyun Kim
- Department of Obstetrics and Gynecology, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul 03181, Republic of Korea
| | - Hoon Kim
- Department of Obstetrics and Gynecology, Seoul National University College of Medicine, Seoul 03080, Republic of Korea
| | - Yun Soo Hong
- Departments of Epidemiology and Medicine, and Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland 21205, USA
| | - Jihwan Park
- Departments of Epidemiology and Medicine, and Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland 21205, USA
| | - Di Zhao
- Departments of Epidemiology and Medicine, and Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland 21205, USA
| | - Juhee Cho
- Center for Cohort Studies, Total Healthcare Center, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul 04514, Republic of Korea
- Department of Clinical Research Design & Evaluation, Samsung Advanced Institute for Health Sciences & Technology, Sungkyunkwan University, Seoul 06355, Republic of Korea
- Departments of Epidemiology and Medicine, and Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland 21205, USA
| | - Eliseo Guallar
- Departments of Epidemiology and Medicine, and Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland 21205, USA
| | - Hyun-Young Park
- Department of Precision Medicine, National Institute of Health, Korea Disease Control and Prevention Agency, Cheongju 28159, Republic of Korea
| | - Seungho Ryu
- Correspondence: Seungho Ryu, MD, PhD, Department of Occupational and Environmental Medicine, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Samsung Main Bldg B2, 250, Taepyung-ro 2ga, Jung-gu, Seoul 04514, Republic of Korea.
| |
Collapse
|
6
|
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: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [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.
Collapse
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
| |
Collapse
|
7
|
Yang R, Lv J, Yu C, Guo Y, Bian Z, Han Y, Yang L, Chen Y, Du H, Liu J, Qu C, Chen J, Chen Z, Clarke R, Huang T, Li L. Importance of healthy lifestyle factors and ideal cardiovascular health metrics for risk of heart failure in Chinese adults. Int J Epidemiol 2022; 51:567-578. [PMID: 34931664 DOI: 10.1093/ije/dyab236] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2020] [Accepted: 11/07/2021] [Indexed: 11/14/2022] Open
Abstract
BACKGROUND The relative importance of healthy lifestyle factors and cardiovascular health metrics for the risk of heart failure is uncertain in Chinese populations. We aimed to compare the strength of associations between healthy lifestyle factors and ideal cardiovascular health metrics in the risk of heart failure in middle-aged Chinese adults. METHODS A healthy lifestyle score (HLS) was constructed using smoking, drinking, physical activity, diet, body mass index and waist circumference, and compared with a more comprehensive set of metrics that included cardiovascular-disease risk biomarkers (blood pressure, blood glucose and blood lipids) in addition to the HLS. This broader set of factors [called 'ideal cardiovascular health metrics' (ICVHMs)] was evaluated in 487 197 participants in the China Kadoorie Biobank. RESULTS A total of 4208 incident cases of heart failure were recorded during a median follow-up of 10 years. Both HLS [hazard ratio (HR), 0.88; 95% confidence interval (CI), 0.85, 0.91] and ICVHMs (0.87: 0.84, 0.89) were inversely associated with risk of heart failure (P < 0.001 for linear trend). Compared with participants with 0-1 HLS, the multivariable-adjusted HR of those with 4-5 HLS was 0.68 (0.59, 0.77). Compared with participants with 0-2 ICVHMs, the adjusted HR (95% CIs) of those who had 7-8 ICVHMs was 0.47 (0.36, 0.60). ICVHMs were more strongly predictive of risk of heart failure (area under curve, 0.61 vs 0.58, P < 0.001) than healthy lifestyle factors alone. CONCLUSIONS Higher levels of healthy lifestyle factors and ICVHMs were each inversely associated with heart failure, and lifestyle factors combined with cardiometabolic factors improved the prediction of heart failure compared with healthy lifestyle factors alone.
Collapse
Affiliation(s)
- Ruotong Yang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China
| | - Jun Lv
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China
- Key Laboratory of Molecular Cardiovascular Sciences (Peking University), Ministry of Education, Beijing, China
- Peking University Institute of Environmental Medicine, Beijing, China
| | - Canqing Yu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China
| | - Yu Guo
- Chinese Academy of Medical Sciences, Beijing, China
| | - Zheng Bian
- Chinese Academy of Medical Sciences, Beijing, China
| | - Yuting Han
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China
| | - Ling Yang
- Medical Research Council Population Health Research Unit at the University of Oxford, Oxford, UK
- Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, UK
| | - Yiping Chen
- Medical Research Council Population Health Research Unit at the University of Oxford, Oxford, UK
- Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, UK
| | - Huaidong Du
- Medical Research Council Population Health Research Unit at the University of Oxford, Oxford, UK
- Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, UK
| | - Jianjun Liu
- Jili Community Health Service, Liuyang, China
| | - Chan Qu
- NCDs Prevention and Control Department, Liuyang CDC, Liuyang, China
| | - Junshi Chen
- China National Center for Food Safety Risk Assessment, Beijing, China
| | - Zhengming Chen
- Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, UK
| | - Robert Clarke
- Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU) , Nuffield Department of Population Health, University of Oxford, UK
| | - Tao Huang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China
- Key Laboratory of Molecular Cardiovascular Sciences (Peking University), Ministry of Education, Beijing, China
- Center for Intelligent Public Health, Academy for Artificial Intelligence, Peking University, Beijing, China
| | - Liming Li
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China
- Peking University Institute of Environmental Medicine, Beijing, China
| |
Collapse
|
8
|
Wu S, Xu Y, Zheng R, Lu J, Li M, Chen L, Huo Y, Xu M, Wang T, Zhao Z, Wang S, Lin H, Dai M, Zhang D, Niu J, Qin G, Yan L, Wan Q, Chen L, Shi L, Hu R, Tang X, Su Q, Yu X, Qin Y, Chen G, Gao Z, Wang G, Shen F, Luo Z, Chen Y, Zhang Y, Liu C, Wang Y, Wu S, Yang T, Li Q, Mu Y, Zhao J, Bi Y, Wang W, Ning G. Hypertension Defined by 2017 ACC/AHA Guideline, Ideal Cardiovascular Health Metrics, and Risk of Cardiovascular Disease: A Nationwide Prospective Cohort Study. Lancet Reg Health West Pac 2022; 20:100350. [PMID: 35036974 PMCID: PMC8749453 DOI: 10.1016/j.lanwpc.2021.100350] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
Background The updated definition of hypertension by the American College of Cardiology (ACC) and the American Heart Association (AHA) is an important paradigm shift and has lead to extensive discussion. We aimed to examine the association between the updated blood pressure (BP) categories and the risk of cardiovascular diseases (CVDs) with potential modifications from other cardiovascular health metrics (CVHMs). Methods This prospective study included 91,204 participants ≥40 years recruited from 20 community sites across mainland China. Participants were followed up during 2010-2016 for CVD events including nonfatal myocardial infarction, stroke, heart failure, and cardiovascular death. BP categories were defined according to the 2017 ACC/AHA guideline and CVHMs included smoking, physical activity, diet, body-mass index, total cholesterol, and fasting glucose. Findings Overall, 1,985 major CVD events occurred during a mean follow-up of 3.7 years. Having more ideal CVHMs significantly reduced the risk of CVD events in both stage 1 and stage 2 hypertension. Compared with participants without hypertension, participants having ≥4 ideal CVHMs were no longer associated with an increased CVD risk in stage 1 hypertension (HR=1·04; 95% CI=0·83-1·31), but less so in stage 2 hypertension (HR=1·90, 95% CI=1·70-2·13). Such pattern of association was more evident in participants aged <60 years (P for interaction <0·05). Interpretation Stage 1 hypertension defined by the ACC/AHA identifies individuals at increased CVD risk, which can be attenuated by achieving more preferable cardiovascular health, especially in adults aged <60 years.
Collapse
Affiliation(s)
- Shujing Wu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong 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 Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Yu Xu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong 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 Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Ruizhi Zheng
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong 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 Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Jieli Lu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong 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 Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Mian Li
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong 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 Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Li Chen
- Qilu Hospital of Shandong University, Jinan, China
| | - Yanan Huo
- Jiangxi People's Hospital, Nanchang, China
| | - Min Xu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong 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 Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Tiange Wang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong 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 Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Zhiyun Zhao
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong 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 Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Shuangyuan Wang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong 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 Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Hong Lin
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong 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 Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Meng Dai
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong 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 Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Di Zhang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong 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 Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Jingya Niu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong 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 Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Guijun Qin
- The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Li Yan
- Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China
| | - Qin Wan
- The Affiliated Hospital of Southwest Medical University, Luzhou, China
| | - Lulu Chen
- Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Lixin Shi
- Affiliated Hospital of Guiyang Medical College, Guiyang, China
| | - Ruying Hu
- Zhejiang Provincial Center for Disease Control and Prevention, China
| | - Xulei Tang
- The First Hospital of Lanzhou University, Lanzhou, China
| | - Qing Su
- Xinhua Hospital Affiliated to Shanghai Jiao-Tong University School of Medicine, Shanghai, China
| | - Xuefeng Yu
- Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yingfen Qin
- The First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Gang Chen
- Fujian Provincial Hospital, Fujian Medical University, Fuzhou, 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
| | - Yuhong Chen
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong 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 Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, 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
| | - Qiang Li
- The Second Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Yiming Mu
- Chinese People's Liberation Army General Hospital, Beijing, China
| | - Jiajun Zhao
- Shandong Provincial Hospital affiliated to Shandong University, Jinan, China
| | - Yufang Bi
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong 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 Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Weiqing Wang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong 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 Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Guang Ning
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiaotong 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 Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| |
Collapse
|
9
|
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] [What about the content of this article? (0)] [Affiliation(s)] [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.
Collapse
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
| |
Collapse
|
10
|
Marzetti E, Calvani R, Picca A, Sisto A, Tosato M, Martone AM, Ortolani E, Salini S, Pafundi T, Santoliquido A, Santoro L, Bernabei R, Landi F. Prevalence of dyslipidaemia and awareness of blood cholesterol levels among community-living people: results from the Longevity check-up 7+ (Lookup 7+) cross-sectional survey. BMJ Open 2018; 8:e021627. [PMID: 29961030 PMCID: PMC6045760 DOI: 10.1136/bmjopen-2018-021627] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/10/2018] [Revised: 05/21/2018] [Accepted: 05/24/2018] [Indexed: 12/21/2022] Open
Abstract
OBJECTIVE The aim of the present study was to investigate the prevalence of abnormal cholesterol levels and to explore awareness of cholesterol values in an unselected sample of community-living adults. DESIGN Cross-sectional survey. SETTING Exhibitions, malls and health promotion campaigns across Italy. PARTICIPANTS 3535 community dwellers aged 18-98 years were enrolled between September 2016 and June 2017. Analyses were conducted in 3040 participants, after excluding 495 enrolees on cholesterol-lowering medications. MAIN OUTCOME MEASURES Total blood cholesterol levels and awareness of cholesterol values. RESULTS Abnormal blood cholesterol values were found in 1961 (64.5%) of participants with no differences between genders (p=0.06). Among those who believed they had normal cholesterol levels, only 48% had values below 200 mg/dL. More than 40% had cholesterol values between 200 and 240 mg/dL, and around 10% had values >240 mg/dL. More than one-third of participants had not measured cholesterol in the last year. Among them, only 36% had normal cholesterol levels. CONCLUSIONS Abnormal blood cholesterol is highly prevalent in our sample of Italian community dwellers, with less than half of participants being aware of their cholesterol levels.
Collapse
Affiliation(s)
- Emanuele Marzetti
- Department of Geriatrics, Neurosciences and Orthopaedics, Catholic University of the Sacred Heart, Rome, Italy
| | - Riccardo Calvani
- Department of Geriatrics, Neurosciences and Orthopaedics, Catholic University of the Sacred Heart, Rome, Italy
| | - Anna Picca
- Department of Geriatrics, Neurosciences and Orthopaedics, Catholic University of the Sacred Heart, Rome, Italy
| | - Alex Sisto
- College of Medicine, Drexel University, Philadelphia, Pennsylvania, USA
| | - Matteo Tosato
- Department of Geriatrics, Neurosciences and Orthopaedics, Catholic University of the Sacred Heart, Rome, Italy
| | - Anna Maria Martone
- Department of Geriatrics, Neurosciences and Orthopaedics, Catholic University of the Sacred Heart, Rome, Italy
| | - Elena Ortolani
- Department of Geriatrics, Neurosciences and Orthopaedics, Catholic University of the Sacred Heart, Rome, Italy
| | - Sara Salini
- Department of Geriatrics, Neurosciences and Orthopaedics, Catholic University of the Sacred Heart, Rome, Italy
| | - Teodosio Pafundi
- Department of Geriatrics, Neurosciences and Orthopaedics, Catholic University of the Sacred Heart, Rome, Italy
| | - Angelo Santoliquido
- Department of Internal Medicine, Catholic University of the Sacred Heart, Rome, Italy
| | - Luca Santoro
- Department of Internal Medicine, Catholic University of the Sacred Heart, Rome, Italy
| | - Roberto Bernabei
- Department of Geriatrics, Neurosciences and Orthopaedics, Catholic University of the Sacred Heart, Rome, Italy
| | - Francesco Landi
- Department of Geriatrics, Neurosciences and Orthopaedics, Catholic University of the Sacred Heart, Rome, Italy
| |
Collapse
|
11
|
Ogagarue ER, Lutsey PL, Klein R, Klein BE, Folsom AR. Association of ideal cardiovascular health metrics and retinal microvascular findings: the Atherosclerosis Risk in Communities Study. J Am Heart Assoc 2013; 2:e000430. [PMID: 24252843 PMCID: PMC3886782 DOI: 10.1161/jaha.113.000430] [Citation(s) in RCA: 29] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Background This study evaluated the prevalence of ideal cardiovascular (CV) health in the Atherosclerosis Risk in Communities Study and determined its relationship with prevalent retinopathy, wider retinal venular diameters, and narrower arteriolar diameters, which are risk markers for subclinical cerebrovascular disease and are associated with increased stroke and coronary heart disease (CHD) morbidity and mortality. Methods and Results We used gradings of fundus photography measurements from the Atherosclerosis Risk in Communities Study to examine the association of retinopathy and retinal arteriolar and venular calibers to the number of ideal CV health metrics. Prevalent retinopathy showed a graded relationship with the CV health categories and number of ideal CV health metrics present: retinopathy prevalence was 2.1% among those with ≥5 ideal CV health metrics compared with 13.1% among those with zero ideal CV health metrics (odds ratio [CI]), 4.8 [2.5 to 8.9]). Central retinal venule equivalent and central retinal arteriolar equivalent diameters also showed graded relationships with CV health categories and number of ideal CV health metrics: after adjustment for age, race, sex, and education, mean central retinal venular equivalent was 187.8 μm (95% CI, 186.9 to 188.6 μm) among those with ≥5 ideal CV health metrics compared with 201.1 μm (95% CI, 199.1 to 203.1 μm) among those with zero ideal CV health metrics. Mean central retinal arteriolar equivalent was 163.8 μm (95% CI, 163.0 to 164.5 μm) among those with ≥5 ideal CV health metrics compared with 157.9 μm (95% CI, 156.1 to 159.7 μm) among those with zero ideal CV health metrics. Conclusions Few adults had ideal cardiovascular health. Those with the best level of health were less likely to have retinopathy signs, wide retinal venules, and narrow retinal arterioles, which are associated with increased stroke and coronary heart disease risk.
Collapse
Affiliation(s)
- Ejovwoke R Ogagarue
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN
| | | | | | | | | |
Collapse
|