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Wang J, Wu S, Li L, Wu J, Meng S, Qin X, Chen X, Wu S, Shi J, Bao Y, Wang F. The role of the control of "life's essential 8" for prevention on heart failure and all-cause mortality in patients with hypertension: the Kailuan cohort study. BMC Public Health 2025; 25:1322. [PMID: 40200231 PMCID: PMC11980293 DOI: 10.1186/s12889-025-22422-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2024] [Accepted: 03/20/2025] [Indexed: 04/10/2025] Open
Abstract
BACKGROUND Hypertension can lead to an increased risk of heart failure and death. The life's essential 8 (LE8) is an eight-factor measure of cardiovascular health recently released by the American Heart Association for use in measuring cardiovascular health. However, evidence on the beneficial effects and necessity of LE8 control is still lacking, especially for hypertension. METHODS The study population was drawn from the Kailuan cohort, hypertensive population at baseline with the non-hypertensive population matched 1:1 according to age and sex were involved in this analysis. The cut off value for each factor in LE8 was 50 (≥ 50 as controlled, < 50 as uncontrolled). The primary outcomes involved heart failure and all-cause mortality. Cox proportional risk regression models were used to analyze the relationship between the degree of LE8 control and the risk of heart failure and all-cause mortality among hypertensive participants. Hazard ratio (HR) and 95% confidence interval (95% CI) were calculated. RESULTS A baseline population of 69,032 Kailuan cohort with a mean age of 53.08 years (SD 10.59) was included in the study. During a mean follow-up period of 13.17 years (SD 2.57), 1308 (3.8%) heart failures and 5391 (15.6%) deaths occurred among hypertensive patients. In the hypertensive population, there was a negative dose response between the degree of LE8 control and the risk of heart failure or death (P for trend < 0.001). Compared with the group with the control less than or equal to 2 risk factors of LE8, the group with 6 or more risk factors of control had a 55% lower risk of heart failure (HR 0.45, 95% CI 0.26-0.77; P < 0.05) and a 31% lower risk of death (HR 0.69, 95% CI 0.50-0.93; P < 0.05). Compared with the non-hypertensive population, the risk of heart failure and death decreased with increasing of the number of risk factor controlled in LE8, down to a minimum of 1.27-fold (HR 1.27, 95%CI 1.13-1.42; P < 0.05) and 1.25-fold (HR 1.25, 95%CI 1.19-1.32; P < 0.05), respectively. In addition, the association between hypertension and heart failure or mortality was higher in participants aged < 60 years compared with older individuals (P for interaction < 0.05). CONCLUSIONS Enhanced control of LE8 is significantly associated with a reduced risk of heart failure and mortality in hypertensive patients, as well as a decreased likelihood of hypertension-related heart failure or mortality.
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Affiliation(s)
- Jing Wang
- Institute of Advanced Clinical Medicine, Peking University, Beijing, China
| | - Shuilin Wu
- School of Public Health, Peking University, Beijing, 100191, China
- National Institute on Drug Dependence and Beijing Key Laboratory of Drug Dependence, Peking University, Beijing, 100191, China
| | - Liuxin Li
- Health Care Center, Kailuan Medical Group, Tangshan, China
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China
| | - Jing Wu
- Chinese Center for Health Education, Beijing, 100191, China
| | - Shiqiu Meng
- School of Public Health, Peking University, Beijing, 100191, China
| | - Xueying Qin
- National Institute on Drug Dependence and Beijing Key Laboratory of Drug Dependence, Peking University, Beijing, 100191, China
| | - Xin Chen
- School of Public Health, Peking University, Beijing, 100191, China
- National Institute on Drug Dependence and Beijing Key Laboratory of Drug Dependence, Peking University, Beijing, 100191, China
| | - Shoulin Wu
- Health Care Center, Kailuan Medical Group, Tangshan, China
| | - Jie Shi
- National Institute on Drug Dependence and Beijing Key Laboratory of Drug Dependence, Peking University, Beijing, 100191, China.
| | - Yanping Bao
- National Institute on Drug Dependence and Beijing Key Laboratory of Drug Dependence, Peking University, Beijing, 100191, China.
| | - Feng Wang
- Chinese Center for Health Education, Beijing, 100191, China.
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Liu F, Jiang Z, Luo W, Yang Y, Guo S, Yi J, Shen G, Li W, Wang L, Chen X, Zhi Z, Liu T, Zhao X, Li C, Gao H. Implications of prognostic nutritional index in predicting adverse outcomes of uncontrolled diabetic patients: a cohort study of the national health and nutrition examination survey from 2005 - 2018. Diabetol Metab Syndr 2024; 16:315. [PMID: 39734208 DOI: 10.1186/s13098-024-01563-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/24/2024] [Accepted: 12/17/2024] [Indexed: 12/31/2024] Open
Abstract
BACKGROUND Diabetes mellitus (DM) is a metabolic disorder with increasing prevalence and poor control rates, leading to adverse events. Prognostic nutritional value (PNI) has been identified as a protective factor in DM, but its role in uncontrolled DM remains unclear. METHODS This study based on the representative cohort of National Health and Nutrition Examination Survey from 2005 to 2018. A total of 3,313 participants with uncontrolled DM were included in our analyses. PNI was calculated as 5×lymphocyte count (109/L)+ 10×serum albumin (g/L). The endpoints were DM-related and cardiovascular mortality, which were obtained from National Death Index. Univariable and multivariable cox proportional hazard regression were performed to investigate prognostic value of PNI. RESULTS Among 3,313 patients with uncontrolled DM (mean age of 61.75 ± 12.78 years, 53.4% male), PNI level was negatively associated with inflammatory markers and positively associated with metabolic markers of lipid and protein. During a median follow-up of 77 months, 247 DM-related deaths and 205 cardiovascular deaths occurred. Higher PNI levels independently predicted low DM-related (adjusted Hazard ratio [HR] = 0.872, 95% confidence interval [CI] 0.840-0.906, P < 0.001) and cardiovascular mortality (adjusted HR = 0.872, 95% CI 0.834-0.912, P < 0.001). The prognostic value of PNI significantly varied across different DM treatment conditions, which was more pronounced in patients receiving antidiabetic treatments (adjusted HR: insulin + oral antidiabetic drugs [OADs]: 0.832; insulin: 0.863; OADs: 0.894, all adjusted P < 0.001), but was absent in those without antidiabetic treatment. CONCLUSIONS A higher PNI level is an independent protective predictor for DM-related and cardiovascular mortality in uncontrolled DM patients. Evaluation of PNI level in uncontrolled DM patients could conduce to stringent intervention. Improvement of PNI could enhance the effective of antidiabetic therapy, especially the insulin therapy, and reduce DM-related mortality.
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Affiliation(s)
- Fei Liu
- Center of Coronary Heart Diseases, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
- Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
| | - Zhili Jiang
- Center of Coronary Heart Diseases, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
- Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
| | - Wei Luo
- Center of Coronary Heart Diseases, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
- Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
| | - Yunxiao Yang
- Center of Coronary Heart Diseases, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
- Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
| | - Shuai Guo
- Center of Coronary Heart Diseases, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
- Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
| | - Jiayi Yi
- Center of Coronary Heart Diseases, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
- Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
| | - Geng Shen
- Center of Coronary Heart Diseases, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
- Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
| | - Wei Li
- Center of Coronary Heart Diseases, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
- Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
| | - Lin Wang
- Center of Coronary Heart Diseases, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
- Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
| | - Xiuhuan Chen
- Center of Coronary Heart Diseases, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
- Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
| | - Zhaogong Zhi
- Center of Coronary Heart Diseases, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
- Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
| | - Tian Liu
- Center of Coronary Heart Diseases, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
- Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
| | - Xuedong Zhao
- Center of Coronary Heart Diseases, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
- Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
| | - Chen Li
- Center of Coronary Heart Diseases, Beijing Anzhen Hospital, Capital Medical University, Beijing, China.
- Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, China.
| | - Hai Gao
- Center of Coronary Heart Diseases, Beijing Anzhen Hospital, Capital Medical University, Beijing, China.
- Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, China.
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Wang Y, Yan T, Yang Y, Li L, Zhang Z, Cao X, Xia Y, Shen Y, Liu K, Xu L, Zhang C, Zhang X, Zhang N. Association between changes in high-density lipoprotein cholesterol and risk of cardiovascular disease. J Clin Lipidol 2024; 18:e1025-e1034. [PMID: 39307657 DOI: 10.1016/j.jacl.2024.09.001] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2024] [Revised: 08/01/2024] [Accepted: 09/05/2024] [Indexed: 03/03/2025]
Abstract
BACKGROUND The present study was performed to determine the association between changes in the high-density lipoprotein cholesterol (HDL-C) concentration and incident cardiovascular disease (CVD). METHODS Time-dependent Cox regression models were used to evaluate the association between changes in the HDL-C concentration and the risk of incident CVD. Participants were followed up from 2015 to 2021. RESULTS In total, 24,123 participants with a median follow-up of 4.26 years were analyzed, and the mean age of the cohort was 56.24 years, 57.8% were female, 24.3% were current smokers, and 12.8% had a history of alcohol use. Low, normal, and high HDL-C was defined as < 40, 40-80, and > 80 mg/dL, respectively. The average time for the two HDL-C measurements was 2.8 years. Compared with participants whose HDL-C was maintained at a normal level, the risk of CVD was higher in those whose HDL-C changed to a low level, remained unchanged at a low level (HR, 1.24; 95% CI, 1.01-1.40, P < 0.001), similarly, the risk of CVD was higher in those whose HDL-C changed from very high level to normal level (HR, 0.81; 95% CI, 0.67-0.99, P = 0.039). Also compared with participants whose HDL-C was maintained at a normal level, the risk of CVD was lower in those whose HDL-C increased from low to normal and high (HR, 0.80; 95% CI, 0.66-0.98, P = 0.029). CONCLUSIONS Participants whose HDL-C changed to a low level and whose low HDL-C level was maintained had a higher risk of CVD, whereas participants whose HDL-C changed from low to high had a lower risk of CVD.
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Affiliation(s)
- Ya Wang
- School of Public Health, Inner Mongolia Medical University, Hohhot, China
| | - Tao Yan
- School of Public Health, Inner Mongolia Medical University, Hohhot, China
| | - Yuxin Yang
- School of Public Health, Inner Mongolia Medical University, Hohhot, China
| | - Lehui Li
- School of Public Health, Inner Mongolia Medical University, Hohhot, China
| | - Ziying Zhang
- School of Basic Medicine, Inner Mongolia Medical University, Hohhot, China
| | - Xiaodong Cao
- Research Center for Safety Evaluation of New Drugs, School of Pharmacy, Inner Mongolia Medical University, Hohhot, China
| | - Yuan Xia
- School of Public Health, Inner Mongolia Medical University, Hohhot, China
| | - Yuan Shen
- School of Public Health, Inner Mongolia Medical University, Hohhot, China
| | - Kun Liu
- School of Public Health, Inner Mongolia Medical University, Hohhot, China
| | - Lei Xu
- School of Public Health, Inner Mongolia Medical University, Hohhot, China
| | - Chunfa Zhang
- School of Public Health, Inner Mongolia Medical University, Hohhot, China
| | - Xingguang Zhang
- School of Public Health, Inner Mongolia Medical University, Hohhot, China.
| | - Nan Zhang
- School of Public Health, Inner Mongolia Medical University, Hohhot, China.
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Oh SH, Kang JH, Kwon JW. Information and Communications Technology-Based Monitoring Service for Tailored Chronic Disease Management in Primary Care: Cost-Effectiveness Analysis Based on ICT-CM Trial Results. J Med Internet Res 2024; 26:e51239. [PMID: 39393061 PMCID: PMC11512140 DOI: 10.2196/51239] [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: 07/26/2023] [Revised: 03/07/2024] [Accepted: 08/14/2024] [Indexed: 10/13/2024] Open
Abstract
BACKGROUND Information and communications technology-based tailored management (TM) intervention is a novel automatic system in which a smartphone app for the management of patients with hypertension and diabetes, the provider web, and Bluetooth devices are linked. However, little evidence exists regarding the cost-effectiveness of the interventions using mobile apps. OBJECTIVE This study aimed to assess the cost-effectiveness of TM intervention for adult patients with hypertension or diabetes in primary care compared with usual care (UC). METHODS Cost-effectiveness analysis using a Markov model was conducted from the Korean health care system perspective. Based on 6-month outcome data from an information and communications technology-based tailored chronic disease management (ICT-CM) trial, effectiveness over a lifetime beyond the trial periods was extrapolated using a cardiovascular disease risk prediction model. Costs were estimated using ICT-CM trial data and national health insurance claims data. Health utility weights were obtained from the Korea National Health and Nutrition Examination Survey. RESULTS In the base-case analysis, compared with UC, TM was more costly (US $23,157 for TM vs US $22,391 for UC) and more effective (12.006 quality-adjusted life-years [QALYs] for TM vs 11.868 QALYs for UC). The incremental cost-effectiveness ratio was US $5556 per QALY gained. Probabilistic sensitivity analysis showed that the probability of TM being cost-effective compared with UC was approximately 97% at an incremental cost-effectiveness ratio threshold of US $26,515 (KRW 35 million) per QALY gained. CONCLUSIONS Compared with UC, TM intervention is a cost-effective option for patients with hypertension or diabetes in primary care settings. The study results can assist policy makers in making evidence-based decisions when implementing accessible chronic disease management services.
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Affiliation(s)
- Sung-Hee Oh
- Brain Korea 21 Four Community-Based Intelligent Novel Drug Discovery Education Unit, College of Pharmacy and Research Institute of Pharmaceutical Sciences, Kyungpook National University, Daegu, Republic of Korea
| | - Jae-Heon Kang
- Department of Family Medicine, Kangbuk Samsung Hospital, College of Medicine, Sungkyunkwan University, Seoul, Republic of Korea
| | - Jin-Won Kwon
- Brain Korea 21 Four Community-Based Intelligent Novel Drug Discovery Education Unit, College of Pharmacy and Research Institute of Pharmaceutical Sciences, Kyungpook National University, Daegu, Republic of Korea
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Ding L, Fu B, Zhang H, Dai C, Zhang A, Yu F, Mi L, Hua W, Tang M. The impact of triglyceride glucose-body mass index on all-cause and cardiovascular mortality in elderly patients with diabetes mellitus: evidence from NHANES 2007-2016. BMC Geriatr 2024; 24:356. [PMID: 38649828 PMCID: PMC11034154 DOI: 10.1186/s12877-024-04992-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2024] [Accepted: 04/17/2024] [Indexed: 04/25/2024] Open
Abstract
BACKGROUND The relationship between triglyceride glucose-body mass index (TyG-BMI) index and mortality in elderly patients with diabetes mellitus (DM) are still unclear. This study aimed to investigate the association between TyG-BMI with all-cause and cardiovascular mortality among elderly DM patients in the United States (US). METHODS Patients aged over 60 years with DM from the National Health and Nutrition Examination Survey (2007-2016) were included in this study. The study endpoints were all-cause and cardiovascular mortality and the morality data were extracted from the National Death Index (NDI) which records up to December 31, 2019. Multivariate Cox proportional hazards regression model was used to explore the association between TyG-BMI index with mortality. Restricted cubic spline was used to model nonlinear relationships. RESULTS A total of 1363 elderly diabetic patients were included, and were categorized into four quartiles. The mean age was 70.0 ± 6.8 years, and 48.6% of them were female. Overall, there were 429 all-cause deaths and 123 cardiovascular deaths were recorded during a median follow-up of 77.3 months. Multivariate Cox regression analyses indicated that compared to the 1st quartile (used as the reference), the 3rd quartile demonstrated a significant association with all-cause mortality (model 2: HR = 0.64, 95% CI 0.46-0.89, P = 0.009; model 3: HR = 0.65, 95% CI 0.43-0.96, P = 0.030). Additionally, the 4th quartile was significantly associated with cardiovascular mortality (model 2: HR = 1.83, 95% CI 1.01-3.30, P = 0.047; model 3: HR = 2.45, 95% CI 1.07-5.57, P = 0.033). The restricted cubic spline revealed a U-shaped association between TyG-BMI index with all-cause mortality and a linear association with cardiovascular mortality, after adjustment for possible confounding factors. CONCLUSIONS A U-shaped association was observed between the TyG-BMI index with all-cause mortality and a linear association was observed between the TyG-BMI index with cardiovascular mortality in elderly patients with DM in the US population.
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Affiliation(s)
- Lei Ding
- Department of Cardiology, State Key Laboratory of Cardiovascular Disease, National Center for Cardiovascular Diseases, Cardiovascular Institute, Fuwai Hospital, Chinese Academy of Medical Sciences, and Peking Union Medical College, Beijing, 100037, China
| | - Bingqi Fu
- Department of Cardiology, State Key Laboratory of Cardiovascular Disease, National Center for Cardiovascular Diseases, Cardiovascular Institute, Fuwai Hospital, Chinese Academy of Medical Sciences, and Peking Union Medical College, Beijing, 100037, China
| | - Hongda Zhang
- Department of Cardiology, State Key Laboratory of Cardiovascular Disease, National Center for Cardiovascular Diseases, Cardiovascular Institute, Fuwai Hospital, Chinese Academy of Medical Sciences, and Peking Union Medical College, Beijing, 100037, China
| | - Cong Dai
- Department of Health Policy and Management, School of Public Health, Peking University Health Science Center, No.167 Beilishi Rd, Xicheng District, Beijing, 100037, China
| | - Aikai Zhang
- Department of Cardiology, State Key Laboratory of Cardiovascular Disease, National Center for Cardiovascular Diseases, Cardiovascular Institute, Fuwai Hospital, Chinese Academy of Medical Sciences, and Peking Union Medical College, Beijing, 100037, China
| | - Fengyuan Yu
- Department of Cardiology, State Key Laboratory of Cardiovascular Disease, National Center for Cardiovascular Diseases, Cardiovascular Institute, Fuwai Hospital, Chinese Academy of Medical Sciences, and Peking Union Medical College, Beijing, 100037, China
| | - Lijie Mi
- Department of Cardiology, State Key Laboratory of Cardiovascular Disease, National Center for Cardiovascular Diseases, Cardiovascular Institute, Fuwai Hospital, Chinese Academy of Medical Sciences, and Peking Union Medical College, Beijing, 100037, China
| | - Wei Hua
- Department of Cardiology, State Key Laboratory of Cardiovascular Disease, National Center for Cardiovascular Diseases, Cardiovascular Institute, Fuwai Hospital, Chinese Academy of Medical Sciences, and Peking Union Medical College, Beijing, 100037, China
| | - Min Tang
- Department of Cardiology, State Key Laboratory of Cardiovascular Disease, National Center for Cardiovascular Diseases, Cardiovascular Institute, Fuwai Hospital, Chinese Academy of Medical Sciences, and Peking Union Medical College, Beijing, 100037, China.
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Guo L, Wang W, Shi J, Zheng X, Hua Y, Lu C. Evaluation of Social Isolation Trajectories and Incident Cardiovascular Disease Among Middle-Aged and Older Adults in China: National Cohort Study. JMIR Public Health Surveill 2023; 9:e45677. [PMID: 37389914 PMCID: PMC10365588 DOI: 10.2196/45677] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2023] [Revised: 04/24/2023] [Accepted: 05/08/2023] [Indexed: 07/01/2023] Open
Abstract
BACKGROUND Although the association between social isolation and the risk of subsequent cardiovascular disease (CVD) is well documented, most studies have only assessed social isolation at a single time point, and few studies have considered the association using repeatedly measured social isolation. OBJECTIVE This study aimed to examine the association between social isolation trajectories and incident CVD in a large cohort of middle-aged and older adults. METHODS This study used data from 4 waves (wave 1, wave 2, wave 3, and wave 4) of the China Health and Retirement Longitudinal Study. We defined the exposure period as from June 2011 to September 2015 (from wave 1 to wave 3) and the follow-up period as from September 2015 to March 2019 (wave 4). On the basis of the inclusion and exclusion criteria, our final analytic sample included 8422 individuals who had no CVD in the China Health and Retirement Longitudinal Study in waves 1 to 3 and were fully followed up in wave 4. Social isolation was ascertained using an extensively used questionnaire at 3 consecutive, biennial time points from waves 1 to 3, and individuals were assigned to 3 predefined social isolation trajectories based on their scores at each wave (consistently low, fluctuating, and consistently high). Incident CVD included self-reported physician-diagnosed heart disease and stroke combined. Cox proportional hazard models estimated the associations of social isolation trajectories with risks of incident CVD, adjusting for demographics, health behaviors, and health conditions. RESULTS Of the 8422 participants (mean age 59.76, SD 10.33 years at baseline), 4219 (50.09%) were male. Most of the participants (5267/8422, 62.54%) had consistently low social isolation over time and 16.62% (1400/8422) of the participants had consistently high social isolation over the exposure period. During the 4-year follow-up, 746 incident CVDs occurred (heart disease: 450 cases and stroke: 336 cases). Compared with individuals with consistently low social isolation, those with fluctuating social isolation (adjusted hazard ratio 1.27, 95% CI 1.01-1.59) and consistently high social isolation (adjusted hazard ratio 1.45, 95% CI 1.13-1.85) had higher risks for incident CVD after adjusting for demographics (ie, age, sex, residence, and educational level), health behaviors (ie, smoking status and drinking status), and health conditions (ie, BMI; history of diabetes, hypertension, dyslipidemia, chronic kidney disease; use of diabetes medications, hypertension medications, and lipid-lowering therapy; and depressive symptoms scores). CONCLUSIONS In this cohort study, middle-aged and older adults with fluctuating and consistently high social isolation exposure had higher risks of the onset of CVD than those without the exposure. The findings suggest that routine social isolation screenings and efforts to improve social connectedness merit increased attention for preventing CVD among middle-aged and older adults.
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Affiliation(s)
- Lan Guo
- School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Wanxin Wang
- School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Jingman Shi
- School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Xinyu Zheng
- School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Yilin Hua
- School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Ciyong Lu
- School of Public Health, Sun Yat-sen University, Guangzhou, China
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