Key PointsQuestion
What is the prevalence of dyslipidemia in Chinese adults and what are the treatment and control rates of elevated low-density lipoprotein cholesterol in both primary and secondary prevention populations?
Findings
In this cross-sectional study of 2 314 538 community residents, 33.8% had dyslipidemia, 3.2% had established atherosclerotic cardiovascular disease (ASCVD), and 10.2% had high risk of ASCVD; 26.6% of those with ASCVD and 42.9% of those at high risk of ASCVD achieved low-density lipoprotein cholesterol control targets. Statins were available in 49.7% of the primary care institutions surveyed, with the lowest availability in rural village clinics.
Meaning
These findings suggest that dyslipidemia has become a major public health problem in China and is often inadequately treated and uncontrolled.
Importance
Dyslipidemia, the prevalence of which historically has been low in China, is emerging as the second leading yet often unaddressed factor associated with the risk of cardiovascular diseases. However, recent national data on the prevalence, treatment, and control of dyslipidemia are lacking.
Objective
To assess the prevalence, treatment, and control of dyslipidemia in community residents and the availability of lipid-lowering medications in primary care institutions in China.
Design, Setting, and Participants
This cross-sectional study used data from the China-PEACE (Patient-Centered Evaluative Assessment of Cardiac Events) Million Persons Project, which enrolled 2 660 666 community residents aged 35 to 75 years from all 31 provinces in China between December 2014 and May 2019, and the China-PEACE primary health care survey of 3041 primary care institutions. Data analysis was performed from June 2019 to March 2021.
Exposures
Study period.
Main Outcomes and Measures
The main outcome was the prevalence of dyslipidemia, which was defined as total cholesterol greater than or equal to 240 mg/dL, low-density lipoprotein cholesterol (LDL-C) greater than or equal to 160 mg/dL, high-density lipoprotein cholesterol (HDL-C) less than 40 mg/dL, triglycerides greater than or equal to 200 mg/dL, or self-reported use of lipid-lowering medications, in accordance with the 2016 Chinese Adult Dyslipidemia Prevention Guideline.
Results
This study included 2 314 538 participants with lipid measurements (1 389 322 women [60.0%]; mean [SD] age, 55.8 [9.8] years). Among them, 781 865 participants (33.8%) had dyslipidemia. Of 71 785 participants (3.2%) who had established atherosclerotic cardiovascular disease (ASCVD) and were recommended by guidelines for lipid-lowering medications regardless of LDL-C levels, 10 120 (14.1%) were treated. The overall control rate of LDL-C (≤70 mg/dL) among adults with established ASCVD was 26.6% (19 087 participants), with the control rate being 44.8% (4535 participants) among those who were treated and 23.6% (14 552 participants) among those not treated. Of 236 579 participants (10.2%) with high risk of ASCVD, 101 474 (42.9%) achieved LDL-C less than or equal to 100 mg/dL. Among participants with established ASCVD, advanced age (age 65-75 years, odds ratio [OR], 0.63; 95% CI, 0.56-0.70), female sex (OR, 0.56; 95% CI, 0.53-0.58), lower income (reference category), smoking (OR, 0.89; 95% CI, 0.85-0.94), alcohol consumption (OR, 0.87; 95% CI, 0.83-0.92), and not having diabetes (reference category) were associated with lower control of LDL-C. Among participants with high risk of ASCVD, younger age (reference category) and female sex (OR, 0.58; 95% CI, 0.56-0.59) were associated with lower control of LDL-C. Of 3041 primary care institutions surveyed, 1512 (49.7%) stocked statin and 584 (19.2%) stocked nonstatin lipid-lowering drugs. Village clinics in rural areas had the lowest statin availability.
Conclusions and Relevance
These findings suggest that dyslipidemia has become a major public health problem in China and is often inadequately treated and uncontrolled. Statins were available in less than one-half of the primary care institutions. Strategies aimed at detection, prevention, and treatment are needed.
China is in the midst of an epidemiological transition in which cardiovascular diseases (CVDs) have replaced infectious diseases as the leading cause of death.1 Currently, CVD in China accounts for more than 40% of the causes of death.2 There are concerns that dyslipidemia, the prevalence of which historically was low in China, is emerging as the second leading yet often unaddressed factor associated with the risk of CVD.3
Recent national studies4,5 have assessed the overall prevalence of dyslipidemia and achievement of low-density lipoprotein cholesterol (LDL-C) lowering targets in the Chinese population. However, they did not assess the treatment rate and control rate of elevated LDL-C in both primary and secondary prevention populations. In addition, data are lacking on the availability of lipid-lowering medications in primary care institutions, which play an important role in preventing and managing chronic diseases. Assessing the prevalence, treatment, and control patterns of dyslipidemia and associated characteristics in community residents can help identify subgroups of individuals who will be the target population for interventions to reduce cardiovascular risk. Moreover, assessing the availability of lipid-lowering medications in primary care institutions is critical for assisting the development of policies to mitigate the burden of dyslipidemia.
The China-PEACE (Patient-Centered Evaluative Assessment of Cardiac Events) Million Persons Project (MPP), a large-scale population-based screening project, is an ideal platform to study dyslipidemia in Chinese adults, given the large size of this data set and the recruitment of participants at the community level. Accordingly, in this cross-sectional study, we leveraged the China-PEACE MPP and a national survey of primary care institutions to describe the prevalence, treatment, and control of dyslipidemia and the availability of lipid-lowering medications in primary care institutions.
Participants and Study Design
The central ethics committee at the China National Center for Cardiovascular Disease and the institutional review board at Yale University approved this project. All enrolled participants provided written informed consent. This study follows the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) reporting guideline for cross-sectional studies.6
From December 2014 to May 2019, we used a purposive sampling method to select 189 sites (114 rural counties, 75 urban districts) across all 31 provinces in China.7 Sites were selected purposefully to reflect the diversity in geographical distribution, economic development, and population structure across the country (see details in eAppendix 1 in Supplement 1). At each site, participants were recruited by local staff via extensive publicity campaigns on television and in newspapers and were enrolled if they were aged 35 to 75 years and currently residents in the selected region. Participants were then screened for high risk of CVD using measurements of blood pressure, blood lipids, blood glucose, height, and weight; a questionnaire assessing cardiovascular-related health status was also administered. Of the 2 660 666 participants enrolled, 322 814 (12.1%) were excluded from this analysis because they lacked fasting blood lipid measurements or had implausible lipid values, and 23 314 (0.8%) were excluded because of missing data for other covariates (eFigure 1 in Supplement 1).
China-PEACE Primary Health Care Survey
From November 2016 to May 2017, we conducted a nationwide survey in 3529 primary care institutions in the China-PEACE MPP network.8 These institutions included 188 community health centers and 490 community health stations from the urban areas, and 286 township health centers and 2565 village clinics from the rural areas. In China, primary health care services are provided by community health centers and community health stations (1 level below) in urban areas and by township health centers and village clinics (1 level below) in rural areas. The distribution of sampled primary care institutions across rural and urban areas reflected the national ratio of rural to urban institutions.9
Data Collection and Variables
At the initial screening of China-PEACE MPP, participants underwent a lipid blood test performed by a rapid lipid analyzer using whole blood samples (CardioChek PA Analyzer; Polymer Technology Systems). Participants were considered in a fasting state if their last meals were taken more than 8 hours before. Total cholesterol (TC), triglycerides (TG), and high-density lipoprotein cholesterol (HDL-C) were measured. LDL-C was calculated with the Friedewald equation after excluding participants with TG greater than 400 mg/dL (to convert TG to millimoles per liter, multiply by 0.0113).
Dyslipidemia was defined as TC greater than or equal to 240 mg/dL (to convert to millimoles per liter, multiply by 0.0259), LDL-C greater than or equal to 160 mg/dL (to convert to millimoles per liter, multiply by 0.0259), HDL-C less than 40 mg/dL (to convert to millimoles per liter, multiply by 0.0259), or TG greater than or equal to 200 mg/dL, or self-reported use of lipid-lowering medications, in accordance with the 2016 Chinese Adult Dyslipidemia Prevention Guideline.10 We used the same definition among secondary prevention population to be consistent with previous national studies in China.4,5 Participants were considered as being treated for dyslipidemia if they reported using lipid-lowering medication (Western medicines or traditional Chinese medication [TCM]) within the last 2 weeks. Control of LDL-C was defined on the basis of atherosclerotic cardiovascular disease (ASCVD) risk stratification in accordance with the Chinese guideline (see details in eAppendix 2 in Supplement 1).10 Specifically, participants were considered as achieving LDL-C control targets if they had established ASCVD (ie, coronary heart disease or stroke) and LDL-C less than or equal to 70 mg/dL, or if they had an estimated 10-year ASCVD risk of greater than or equal to 10% and LDL-C less than or equal to 100 mg/dL, or if they had an estimated 10-year ASCVD risk of less than 10% and LDL-C less than or equal to130 mg/dL.
Information on the participants’ sociodemographic characteristics, health behaviors, medical history, and cardiovascular risk factors was recorded during in-person interviews as described elsewhere.7 Height and weight were collected using standard protocols, and body mass index was calculated by dividing the weight in kilograms by the square of height in meters. Obesity was defined as a body mass index of at least 28, in accordance with the recommendations of the Working Group on Obesity in China.11
The availability of lipid-lowering medications, including statins, nonstatins, and TCMs (see a complete list in eAppendix 3 in Supplement 1), was obtained from each primary care institution participating in the China-PEACE primary health care survey. We collected lists of medications in stock at the time of the survey from each participating primary care institution. For each medication on the list, we collected its generic name, brand name, and dosage.8
We described the prevalence of dyslipidemia in the overall study population and stratified by ASCVD risk. Because the indication of lipid-lowering therapy is based on ASCVD risk in current clinical guidelines,10 we described the treatment and control rates of LDL-C among participants with established ASCVD and high risk of ASCVD, respectively. Both groups were recommended by clinical guidelines to achieve LDL-C control targets to lower the risk of ASCVD. In a sensitivity analysis, we determined the age-standardized prevalence of dyslipidemia by adjusting observation weights to match the age and sex distributions in the 2010 Chinese Census.12
We developed multivariable mixed models with a logit link function and township-specific random intercepts (to account for geographical autocorrelation) to identify individual characteristics associated with the prevalence of dyslipidemia among all study participants and the control of LDL-C among participants with established and high risk of ASCVD, respectively. Finally, we assessed the availability of lipid-lowering medications in primary care institutions by calculating the proportion of participating institutions with a specific type of lipid-lowering medication in stock. We examined the availability by type of primary care institutions and region.
All analyses were conducted with R statistical software version 3.33 (R Project for Statistical Computing). All statistical testing was 2-sided, at a significance level of P < .05. Data analysis was performed from June 2019 to March 2021.
Prevalence of Dyslipidemia Overall and in Subtypes
Our final sample of China-PEACE MPP included 2 314 538 participants (1 389 322 women [60.0%]; mean [SD] age, 55.8 [9.8] years) (eFigure 1 in Supplement 1), 1 369 160 of whom (59.2%) were from rural areas (Table 1). Overall, 781 865 participants (33.8%) had dyslipidemia, 71 785 (3.2%) had experienced prior cardiovascular events, and 236 579 (10.2%) had high risk of ASCVD.
The prevalence of high TC was 7.1% (164 201 participants), that of high LDL-C was 4.0% (91 683 participants), that of high TG was 16.9% (390 244 participants), and that of low HDL-C was 15.6% (361 395 participants). Low HDL-C and high TG levels were the most common lipid abnormalities (46.2% [361 395 participants] and 49.9% [390 244 participants] of individuals with dyslipidemia, respectively), with mean (SD) HDL-C of 55.9 (15.9) mg/dL and mean (SD) TG of 139.9 (69.3) mg/dL (eFigure 2 in Supplement 1 and Figure 1). Using the 2010 Chinese Census data, we reported the age- and sex-standardized rate of overall dyslipidemia to be 34.1%.
In multivariable regression analysis, we identified that advanced age, female sex, nonfarmer occupation, higher income, higher education level, smoking, alcohol consumption, prior cardiovascular events, diabetes, and obesity were associated with higher risk of TC greater than or equal to 240 mg/dL, LDL-C greater than or equal to 160 mg/dL, or TG greater than or equal to 200 mg/dL. However, younger age, male sex, nonfarmer occupation, higher income, higher education level, smoking, no alcohol consumption, prior cardiovascular events, diabetes, and obesity were associated with higher risk of HDL-C less than 40 mg/dL (Table 2).
Treatment and Control of LDL-C Among Participants With Established and High Risk of ASCVD
A total of 71 785 participants had established ASCVD and were recommended for lipid-lowering medications regardless of LDL-C levels, of whom 10 120 (14.1%) were treated and 61 665 (85.9%) were untreated with any lipid-lowering medications. The control rate of LDL-C (≤70 mg/dL) among adults with established ASCVD was 26.6% (19 087 participants), with the control rate being 44.8% (4535 participants) among those who were treated and 23.6% (14 552 participants) among those who were untreated (Figure 2).
A total of 236 579 participants had high risk of ASCVD, of whom 101 474 (42.9%) achieved LDL-C control targets (≤100 mg/dL). Among 135 105 participants who had high risk of ASCVD and LDL-C greater than 100 mg/dL, 6044 (4.5%) were treated with lipid-lowering medications (Figure 2). Among 769 722 participants with low or moderate risk of ASCVD, the overall treatment and control rates of LDL-C were 2.2% (17 087 participants) and 55.7% (428 588 participants), respectively.
In multivariable regression analysis, we identified that advanced age (age 65-75 years, odds ratio [OR], 0.63; 95% CI, 0.56-0.70), female sex (OR, 0.56; 95% CI, 0.53-0.58), lower income (reference category), smoking (OR, 0.89; 95% CI, 0.85-0.94), alcohol consumption (OR, 0.87; 95% CI, 0.83-0.92), and no diabetes (reference category) were associated with lower control of LDL-C among participants with established ASCVD. Younger age (reference category) and female sex (OR, 0.58; 95% CI, 0.56-0.59) were associated with lower control of LDL-C among participants with high risk of ASCVD (Table 3).
Availability of Lipid-Lowering Medications in Primary Care Institutions
Of the 3529 primary care institutions surveyed, 3041 with completed medication availability data were included in the final analysis. These institutions included 145 community health centers and 384 community health stations from the urban areas, 243 township health centers and 2269 village clinics from the rural areas (eTable 1 in Supplement 1).
Of 3041 primary care institutions included in the analysis, 1512 (49.7%) stocked statins, 584 (19.2%) stocked nonstatins, and 467 (15.4%) stocked lipid-lowering TCM. Xuezhikang, the only TCM that had evidence of secondary prevention for CVD, was stocked in 311 primary care institutions (10.2%). Among the 4 types of institutions, community health centers had the highest statin availability (114 centers [78.6%]), whereas village clinics had the lowest statin availability (991 clinics [43.7%]) (eFigure 3 in Supplement 1). Simvastatin was the most commonly stocked statin (1422 clinics [46.8%]), followed by atorvastatin (808 clinics [26.6%]), and rosuvastatin (559 clinics [18.4%]) (eTable 2 in Supplement 1).
This large, national cross-sectional study found that dyslipidemia is highly prevalent in China but commonly undertreated and uncontrolled. Even among people with established ASCVD and high risk of ASCVD, only 26.6% and 42.9%, respectively, achieved LDL-C control targets. Moreover, statins, the evidence-based lipid-lowering medications recommended by the guideline, are not available in almost one-half of the primary care institutions, with the lowest availability in rural village clinics.
Our study extends the literature in several important ways. First, our study is one of the largest and most recent studies to show the nationwide characteristics of the dyslipidemia epidemic in China. Although the prevalence of dyslipidemia was consistent with previous studies and meta-analyses,4,5,13-15 the large size of our study allowed us to draw robust conclusions across a wide variety of subgroups. Our results reveal that dyslipidemia has become a major factor associated with the risk of CVD in China overall and across diverse population subgroups, suggesting that a national approach is warranted to mitigate dyslipidemia and the resulting burden of CVD. In addition, low HDL-C and high TG levels have become the dominant components of dyslipidemia, which are different than the high TC and LDL-C levels found in the US and European countries.16-18 This finding calls for attention to HDL-C and TG management in addition to LDL-C control emphasized in most of the current guidelines. Icosapent ethyl, a new TG-lowering drug, has been shown to have a substantial benefit with respect to major adverse cardiovascular events in the recent REDUCE-IT trial19,20 and was granted priority review by the US Food and Drug Administration.21 China may consider adopting new treatments to control TG as they become available. Moreover, lifestyle modifications endorsed by guidelines to improve HDL-C and TG may be particularly relevant to the Chinese population and should be promoted.10
Second, we showed that despite the low prevalence of increased LDL-C, the absolute number of people with elevated LDL-C is still large, yet its treatment and control are far from optimal. In particular, for patients with established ASCVD, statins were recommended as first-line medications for risk reduction irrespective of LDL-C levels according to the secondary prevention guidelines.22,23 However, only 14.1% of patients with established ASCVD in our study were treated with lipid-lowering medications and the use of statins was even lower. We further identified that younger age and female sex were associated with lower control of LDL-C among people with high risk of ASCVD, indicating that preventive interventions to control LDL-C should be targeted to these subgroups for optimal outcomes.
Third, to our knowledge, this study is the first national study to assess the availability of lipid-lowering medications in primary care institutions from all 31 provinces in China. Previous studies were limited to specific regions, populations, or data sources.13,24-29 We found that evidence-based medications, such as statins, were stocked in only one-half of the primary care institutions. One of the commonly stocked TCMs, xuezhikang, was endorsed by the Chinese guideline10 because studies showed it had a lipid-lowering effect similar to that of statins.30-32 However, the safety and efficacy of other TCMs stocked in primary care institutions were unclear and need additional evaluation.
Our study found that the associations between different forms of dyslipidemia and some risk factors, including age, sex, and alcohol consumption, may be different. The differential association may be associated with different sex hormones in men and women. It has been shown that menopause leads to changes in lipid profile through reducing HDL-C and increasing TC, TG, and LDL-C.33 Our study also supports a previous study34 reporting that lower alcohol consumption was associated with higher HDL-C levels. Studies35 have shown that alcohol reduces the activity of cholesterol ester transformation from HDL to atheromatic molecules, subsequently increased the circulating levels of HDL-C.
Our study has important policy implications. Despite historically low lipid levels in the Chinese population, marked changes in diet and physical activity, especially increased dietary energy intake and sedentary behaviors, has increased the rate of dyslipidemia, a factor substantially associated with the risk of CVD.36-38 If China seeks to mitigate increasing prevalence of CVD, reducing dyslipidemia is a potential good target. An important step is to increase the capacity of primary care institutions to screen, diagnose, and treat dyslipidemia in community residents. The Chinese health reform in 2009 emphasized the role of primary health care as the gatekeeper to health care system.39 However, routine screening programs for blood lipid levels are still not provided in primary care institutions, limiting the detection and treatment of dyslipidemia. In addition, it is important to ensure that effective lipid-lowering medications are available in primary care institutions where basic medical services are provided. The marked deficiencies in statin availability at primary care institutions are not consistent with the health needs of the people and have implications for patients’ health. The 2018 National Essential Medicines List40 has included more evidence-based lipid-lowering medications and could facilitate the provision of these medications; however, this program is in the early stages of implementation. Finally, effective community-based prevention strategies that promote lifestyle modification (eg, regular physical activity and dietary improvement) are needed to control dyslipidemia, particularly HDL-C and TG levels, in the Chinese population.
Our study had some limitations. First, our study used a purposeful, rather than random, sampling strategy. However, participants from all ethnic groups across all provinces in China were included, and the ratios of participants in rural to urban areas in each province were comparable to national census data. Compared with the age and sex distribution of national census data, this study has more women and more adults in the older age group, which may result in overestimating the prevalence of dyslipidemia. However, we calculated the age- and sex-standardized estimates for dyslipidemia prevalence according to the 2010 Chinese Census data, and the estimates closely resemble our main results. In addition, use of lipid-lowering medications was self-reported, which could be subject to recall bias. We asked a subset of participants to bring in the bottle of mediations for validation purpose and found that self-reported data may tend to underestimate the overall treatment rate, because some participants who received treatment could not recall the name of lipid-lowering medications. Nevertheless, ongoing rates of dyslipidemia in those taking lipid-lowering medications reflect that it is likely few were taking effective medications. Furthermore, we defined diabetes according to physician diagnosis only, which tends to underestimate the overall prevalence of diabetes given the large proportion of people with undiagnosed diabetes. Because people with diabetes are considered at high risk of ASCVD and require lipid-lowering therapy for risk reduction, our analysis tends to underestimate the proportion of participants with high risk of ASCVD.
In conclusion, the findings of this study suggest that dyslipidemia has become a major public health problem in China and is often inadequately treated and uncontrolled. Statins were available in less than one-half of the primary care institutions, with the lowest availability in rural village clinics. A focus on lipid management, in addition to other emerging risk factors, including hypertension, smoking, and air quality, represents immense opportunities for China to stem an increasing population threat of cardiovascular diseases.
Accepted for Publication: June 25, 2021.
Published: September 29, 2021. doi:10.1001/jamanetworkopen.2021.27573
Open Access: This is an open access article distributed under the terms of the CC-BY License. © 2021 Lu Y et al. JAMA Network Open.
Corresponding Authors: Xiangbin Pan, MD, National Clinical Research Center for Cardiovascular Diseases, NHC Key Laboratory of Clinical Research for Cardiovascular Medications, State Key Laboratory of Cardiovascular Disease Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, 167 Beilishi Rd, Beijing 100037, People’s Republic of China (xiangbin428@hotmail.com); Jing Li, MD, PhD, National Clinical Research Center for Cardiovascular Diseases, NHC Key Laboratory of Clinical Research for Cardiovascular Medications, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, 167 Beilishi Rd, Beijing 100037, People’s Republic of China (jing.li@fwoxford.org).
Author Contributions: Dr Li had full access to all of the data in the study and takes responsibility for the integrity of the data and the accuracy of the data analysis. Drs Lu and Zhang contributed equally as co–first authors. Drs Krumholz, Pan, and Li contributed equally as co–senior authors.
Concept and design: Y. Lu, Zhang, Mu, Feng, Pan, J. Li.
Acquisition, analysis, or interpretation of data: Y. Lu, Zhang, J. Lu, Ding, X. Li, Wang, Sun, Tan, Mu, Liu, Yang, Zhao, Schulz, Krumholz, J. Li.
Drafting of the manuscript: Y. Lu, Zhang, Ding, X. Li, Sun.
Critical revision of the manuscript for important intellectual content: Y. Lu, J. Lu, Ding, Wang, Tan, Mu, Liu, Feng, Yang, Zhao, Schulz, Krumholz, Pan, J. Li.
Statistical analysis: J. Lu, X. Li, Wang, Sun, Tan, Mu, Zhao.
Obtained funding: J. Li.
Administrative, technical, or material support: Y. Lu, Zhang, Mu, Liu, Feng, Schulz.
Supervision: Feng, Pan, J. Li.
Conflict of Interest Disclosures: Dr Y. Lu reported receiving grants from the National Heart, Lung, and Blood Institute outside the submitted work. Dr Ding reported receiving grants from Marion General Hospital (HRSA-19-018) outside the submitted work. Dr Mu reported receiving personal fees from HealthCare Royalty Partners outside the submitted work. Dr Schulz reported receiving personal fees from the National Center for Cardiovascular Disease, HugoHealth, and Refactor Health outside the submitted work. Dr Krumholz reported receiving personal fees from UnitedHealth, IBM Watson Health, Element Science, Aetna, Facebook, Siegfried & Jensen Law Firm, Arnold & Porter Law Firm, Martin/Baughman Law Firm, F-Prime, and National Center for Cardiovascular Diseases, Beijing; being a cofounder of HugoHealth and Refactor Health; receiving contracts from Centers for Medicare & Medicaid Services through Yale New Haven Hospital to develop and maintain measures of hospital performance; and receiving grants from Medtronic, the Food and Drug Administration, Johnson & Johnson, and Shenzhen Center for Health Information outside the submitted work. Dr J. Li reported receiving grants from Ministry of Science and Technology of the People’s Republic of China during the conduct of the study and receiving nonfinancial support from Amgen, Sanofi, University of Oxford, AstraZeneca, and Lilly outside the submitted work. No other disclosures were reported.
Funding/Support: This work was supported by the National Key Research and Development Program from the Ministry of Science and Technology of China (grant 2018YFC1311205), the Major Public Health Service Project from the Ministry of Finance and National Health and Family Planning Commission of China, and the 111 Project from the Ministry of Education of China (grant B16005).
Role of the Funder/Sponsor: The funders had no role in the design and conduct of the study; collection, management, analysis, and interpretation of the data; preparation, review, or approval of the manuscript; and decision to submit the manuscript for publication.
Group Members: China Patient-Centered Evaluative Assessment of Cardiac Events Million Persons Project Collaborative Group members are listed in Supplement 2.
Additional Contributions: We thank Lixin Jiang, MD, PhD, for designing and implementing the China PEACE Million Persons Project. We thank all the participants for their participation. We thank all provincial and regional officers and research staff in all 31 provinces for their collection of data and biospecimens. We appreciate the contributions made by project teams at the National Center for Cardiovascular Diseases in the realms of project design and operations; in particular, Yang Yang, MBA, Jingwei Yang, MSSc, Jianlan Cui, MSPM, Wei Xu, MPH, Bo Gu, MEc, Xi Li, MD, PhD, Chaoqun Wu, MS, and Hui Zhong BS, assisted with data collection. They were not compensated beyond their normal salaries.
1. Report on Cardiovascular Disease in China 2015. National Center for Cardiovascular Disease; 2016.
2.Zhou
M, Wang
H, Zhu
J,
et al. Cause-specific mortality for 240 causes in China during 1990-2013: a systematic subnational analysis for the Global Burden of Disease Study 2013.
Lancet. 2016;387(10015):251-272. doi:
10.1016/S0140-6736(15)00551-6PubMedGoogle Scholar 4.Zhang
M, Deng
Q, Wang
L,
et al. Prevalence of dyslipidemia and achievement of low-density lipoprotein cholesterol targets in Chinese adults: a nationally representative survey of 163,641 adults.
Int J Cardiol. 2018;260:196-203. doi:
10.1016/j.ijcard.2017.12.069PubMedGoogle Scholar 5.Opoku
S, Gan
Y, Fu
W,
et al. Prevalence and risk factors for dyslipidemia among adults in rural and urban China: findings from the China National Stroke Screening and Prevention Project (CNSSPP).
BMC Public Health. 2019;19(1):1500. doi:
10.1186/s12889-019-7827-5PubMedGoogle Scholar 6.von Elm
E, Altman
DG, Egger
M, Pocock
SJ, Gøtzsche
PC, Vandenbroucke
JP; STROBE Initiative. The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) Statement: guidelines for reporting observational studies.
Int J Surg. 2014;12(12):1495-1499. doi:
10.1016/j.ijsu.2014.07.013PubMedGoogle Scholar 8.Su
M, Zhang
Q, Lu
J,
et al. Protocol for a nationwide survey of primary health care in China: the China PEACE (Patient-centered Evaluative Assessment of Cardiac Events) MPP (Million Persons Project) Primary Health Care Survey.
BMJ Open. 2017;7(8):e016195. doi:
10.1136/bmjopen-2017-016195PubMedGoogle Scholar 11.Zhou
BF; Cooperative Meta-Analysis Group of the Working Group on Obesity in China. Predictive values of body mass index and waist circumference for risk factors of certain related diseases in Chinese adults: study on optimal cut-off points of body mass index and waist circumference in Chinese adults.
Biomed Environ Sci. 2002;15(1):83-96.
PubMedGoogle Scholar 15.Li
JH, Wang
LM, Mi
SQ,
et al. Awareness rate, treatment rate and control rate of dyslipidemia in Chinese adults, 2010 [in Chinese].
Zhonghua Yu Fang Yi Xue Za Zhi. 2012;46(8):687-691.
PubMedGoogle Scholar 16.Lu
Y, Wang
P, Zhou
T,
et al. Comparison of prevalence, awareness, treatment, and control of cardiovascular risk factors in China and the United States.
J Am Heart Assoc. 2018;7(3):e007462. doi:
10.1161/JAHA.117.007462PubMedGoogle Scholar 18.Guallar-Castillón
P, Gil-Montero
M, León-Muñoz
LM,
et al. Magnitude and management of hypercholesterolemia in the adult population of Spain, 2008-2010: the ENRICA Study.
Rev Esp Cardiol (Engl Ed). 2012;65(6):551-558. doi:
10.1016/j.recesp.2012.02.005PubMedGoogle Scholar 19.Bhatt
DL, Steg
PG, Miller
M,
et al; REDUCE-IT Investigators. Cardiovascular risk reduction with icosapent ethyl for hypertriglyceridemia.
N Engl J Med. 2019;380(1):11-22. doi:
10.1056/NEJMoa1812792PubMedGoogle Scholar 23.Smith
SC
Jr, Allen
J, Blair
SN,
et al; AHA/ACC; National Heart, Lung, and Blood Institute. AHA/ACC guidelines for secondary prevention for patients with coronary and other atherosclerotic vascular disease: 2006 update—endorsed by the National Heart, Lung, and Blood Institute.
Circulation. 2006;113(19):2363-2372. doi:
10.1161/CIRCULATIONAHA.106.174516PubMedGoogle Scholar 25.Qi
L, Ding
X, Tang
W, Li
Q, Mao
D, Wang
Y. Prevalence and risk factors associated with dyslipidemia in Chongqing, China.
Int J Environ Res Public Health. 2015;12(10):13455-13465. doi:
10.3390/ijerph121013455PubMedGoogle Scholar 26.Luo
JY, Ma
YT, Yu
ZX,
et al. Prevalence, awareness, treatment and control of dyslipidemia among adults in northwestern China: the cardiovascular risk survey.
Lipids Health Dis. 2014;13:4. doi:
10.1186/1476-511X-13-4PubMedGoogle Scholar 30.Lu
Z, Kou
W, Du
B,
et al; Chinese Coronary Secondary Prevention Study Group. Effect of xuezhikang, an extract from red yeast Chinese rice, on coronary events in a Chinese population with previous myocardial infarction.
Am J Cardiol. 2008;101(12):1689-1693. doi:
10.1016/j.amjcard.2008.02.056PubMedGoogle Scholar 31.Li
JJ, Lu
ZL, Kou
WR,
et al; Chinese Coronary Secondary Prevention Study Group. Impact of xuezhikang on coronary events in hypertensive patients with previous myocardial infarction from the China Coronary Secondary Prevention Study (CCSPS).
Ann Med. 2010;42(3):231-240. doi:
10.3109/07853891003652534PubMedGoogle Scholar 32.Zhao
SP, Liu
L, Cheng
YC,
et al. Xuezhikang, an extract of cholestin, protects endothelial function through antiinflammatory and lipid-lowering mechanisms in patients with coronary heart disease.
Circulation. 2004;110(8):915-920. doi:
10.1161/01.CIR.0000139985.81163.CEPubMedGoogle Scholar 33.Reddy Kilim
S, Chandala
SR. A comparative study of lipid profile and oestradiol in pre- and post-menopausal women.
J Clin Diagn Res. 2013;7(8):1596-1598.
PubMedGoogle Scholar 34.Volcik
KA, Ballantyne
CM, Fuchs
FD, Sharrett
AR, Boerwinkle
E. Relationship of alcohol consumption and type of alcoholic beverage consumed with plasma lipid levels: differences between Whites and African Americans of the ARIC study.
Ann Epidemiol. 2008;18(2):101-107. doi:
10.1016/j.annepidem.2007.07.103PubMedGoogle Scholar 36.Yao
M, Lichtenstein
AH, Roberts
SB,
et al. Relative influence of diet and physical activity on cardiovascular risk factors in urban Chinese adults.
Int J Obes Relat Metab Disord. 2003;27(8):920-932. doi:
10.1038/sj.ijo.0802308PubMedGoogle Scholar 37.Hu
G, Pekkarinen
H, Hänninen
O, Tian
H, Guo
Z. Relation between commuting, leisure time physical activity and serum lipids in a Chinese urban population.
Ann Hum Biol. 2001;28(4):412-421. doi:
10.1080/03014460010016671PubMedGoogle Scholar 38.Zhang
L, Qin
LQ, Liu
AP, Wang
PY. Prevalence of risk factors for cardiovascular disease and their associations with diet and physical activity in suburban Beijing, China.
J Epidemiol. 2010;20(3):237-243. doi:
10.2188/jea.JE20090119PubMedGoogle Scholar 40.Whelton
PK, Carey
RM, Aronow
WS,
et al. 2017 ACC/AHA/AAPA/ABC/ACPM/AGS/APhA/ASH/ASPC/NMA/PCNa guideline for the prevention, detection, evaluation, and management of high blood pressure in adults: executive summary: a report of the American College of Cardiology/American Heart Association Task Force on Clinical Practice Guidelines.
Circulation. 2018;138(17):e426-e483. doi:
10.1161/CIR.0000000000000597PubMedGoogle Scholar 41.Lu
ZL; Collaborative Group for China Coronary Secondary Prevention Using Xuezhikang. China coronary secondary prevention study (CCSPS) [in Chinese].
Zhonghua Xin Xue Guan Bing Za Zhi. 2005;33(2):109-115.
PubMedGoogle Scholar