Abstract
Background:
The objective of this study was to examine whether the combination of elevated levels of C-reactive protein (CRP) and dyslipidemia increased the risk of stroke among middle-aged and older adult individuals in China.
Methods:
This study utilized longitudinal data from the China Health and Nutrition Survey (CHNS) collected in 2009, 2015, and 2018. A total of 8,023 participants aged ≥40 years (3,595 males and 4,428 females) were included. The Generalized Estimating Equation (GEE) method was employed to examine the association between inflammation, dyslipidemia, their combined effects, and stroke in the Chinese population.
Results:
A total of 174 stroke events occurred during follow-up. Compared with those with normal CRP levels (CRP ≤ 3 mg/L), the adjusted ORs and 95%CI were 2.13 (1.25, 3.64) for the female with elevated CRP level. Compared with those with non-dyslipidemia, the adjusted ORs and 95%CI were 1.56 (1.03, 2.37) for the individuals with high LDL cholesterol, 1.93 (1.12, 3.33) for the male with high LDL cholesterol. Compared with those with normal CRP levels and non-dyslipidemia, the adjusted ORs and 95%CI were 1.74 (1.08, 2.78) for the individuals with elevated CRP levels and dyslipidemia, 2.41 (1.29, 4.49) for the male with elevated CRP levels and dyslipidemia. People with the coexistence of elevated CRP levels and dyslipidemia had the highest risk of stroke among male.
Conclusion:
In females, higher levels of inflammation are associated with an increased incidence of stroke. In males, individuals with dyslipidemia characterized by high LDL cholesterol levels are more susceptible to stroke. In the general population, the joint effect of inflammation and dyslipidemia predisposes individuals to a higher risk of stroke, particularly among males.
1 Introduction
Stroke is the second-leading cause of disability and death worldwide, with the highest burden of the disease shared by low- and middle-income countries (1). The number of new stroke cases in China in 2019 was 3.94 million, with an incidence rate of 276.7 (241.3 to 322.0) per 100,000 people, an increase of 86.0% compared to 1990 (2). According to survey data from China, the incidence rate of stroke has shown a continuous upward trend in most provinces over the past seven years (2013–2019). This increase in stroke cases is particularly notable among males, older individuals, and those living in rural areas (3).
C-reactive protein (CRP) is an acute-phase reactant that is produced by hepatocytes, which are liver cells. It is considered a biomarker of inflammation because its levels in the blood increase in response to inflammation or tissue damage in the body. High-sensitivity CRP (hs-CRP) assays are specifically designed to accurately measure low levels of CRP in the blood (4). The high-sensitivity C-reactive protein (hs-CRP) level is a measure of the body's inflammatory response to atherosclerosis and serves as a peripheral marker of inflammation (5). It has been found that complications associated with vulnerable atherosclerotic plaques globally are mainly triggered by dyslipidemia and inflammatory mechanisms (6). The effects of inflammation and dyslipidemia on stroke have not yet been studied in depth in the Chinese population. The aim of this paper is to explore the impact of C-reactive protein, dyslipidemia and the combination of the two on the development of stroke.
2 Methods
2.1 Study population
This study utilized data from three waves of the China Health and Nutrition Survey (CHNS) conducted in 2009, 2015, and 2018 to investigate the relationship between inflammation, dyslipidemia, and stroke. The CHNS project started in 1989 and expanded its survey coverage to nine provinces in China including Heilongjiang, Liaoning, Shandong, Henan, Hunan, Hubei, Guangxi, Guizhou, and Jiangsu by 2009. In 2011, it included Beijing, Shanghai, and Chongqing, and in 2015, Zhejiang, Shanxi, and Yunnan provinces were added. The survey employed a multi-stage, cluster random sampling method to collect information on communities, households, individuals, diet, and biological factors. Dietary information was collected using a 3-day 24-h dietary recall, household food weighing method, and food frequency questionnaire (7, 8).
The CHNS project data from 2009, 2015, and 2018 were used in this study, encompassing a total of 16,776 individuals. Initially, 663 individuals with abnormal energy intake were excluded. Abnormal energy intake was defined as daily energy intake < 500 kcal or >5,000 kcal. Furthermore, 911 individuals with missing biochemical markers were excluded. Additionally, 126 individuals with pre-existing conditions at baseline were also excluded. Lastly, 7,053 individuals who had less than two follow-up rounds were excluded. The final sample for this study consisted of 8,023 individuals (Figure 1). We divided the study participants into four groups: normal CRP levels and non-dyslipidemia (8,818), elevated CRP levels and non-dyslipidemia (1,320), normal CRP levels and dyslipidemia (4,813), and elevated CRP levels and dyslipidemia (1,095). This grouping was done to analyze the combined effect of elevated inflammatory levels and dyslipidemia on the risk of stroke.
Figure 1
Flowchart for the selection of analyzed cohort.
2.2 Assessment of critical variables
In this subject, the inflammatory marker is C-reactive protein, with a normal range of less than or equal to three. If it exceeds three, it is considered to indicate inflammation (9).
Biochemical tests for blood lipid include triglyceride (TG), total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C), and high-density lipoprotein cholesterol (HDL-C). The diagnostic criteria are ≥2.3 mmol/L, ≥6.2 mmol/L, ≥4.1 mmol/L, and < 1.0 mmol/L, respectively. If any one or more of these criteria are met, it can be diagnosed as dyslipidemia (10).
In this study, stroke is defined according to the specific question, “Has a doctor ever given you the diagnosis of stroke or transient ischemic attack?”
2.3 Assessment of covariates
Information on socio-demographic and lifestyle variables were collected through standard questionnaires by trained interviewers, including age (in years); sex (male/female); education level (primary school/middle school/high school and above); geographic region (urban and rural); marital status (married/other); average household income (RMB/year); smoking (yes/no); drinking (yes/no); BMI (< 18.5/18.5~23.9/24.0~27.9/≥28.0); physical activity (in MET hours/week); hypertension (yes/no), diabetes (yes/no), tumor (yes/no). In addition, we also assessed other potential dietary confounders, including total energy intake, intakes of dietary fat, cholesterol, vegetable, sodium, and red meat calculated from data collected by consecutive 3 days 24 h recalls combined with the weighing of household seasonings.
2.4 Biological detection methods
All samples were analyzed at a nationally accredited central laboratory in Beijing. The laboratory has obtained ISO 15189:2007 certification for medical laboratories and strictly adheres to quality control measures. HbA1c levels were evaluated using a high-performance liquid chromatography system manufactured by Tosoh Corporation in Tokyo, Japan. The assessment of dyslipidemia markers, including total cholesterol (TC), high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), and triglycerides (TG), was carried out using the glycerol-phosphate oxidase method and the polyethylene glycol (PEG)-modified enzyme method. The reagents from Kyowa Medex Co., Ltd in Tokyo, Japan, were used for this purpose. All lipid measurements were performed on the Hitachi 7600 automated analyzer from Hitachi Inc. in Tokyo, Japan. The assessment of inflammatory status, indicated by high sensitivity C-reactive protein (CRP) levels, was conducted using the immunoturbidimetric method with Denka Seiken reagents, also sourced from Japan. This analysis was carried out on the Hitachi 7600 automated analyzer (11).
2.5 Statistical analysis
In this study, continuous variables were described using mean and standard deviation, while categorical variables were described using chi-square tests, rank-sum tests, and other appropriate methods. The associations between inflammation, blood lipid abnormalities, and stroke were explored using Generalized Estimate Equation (GEE). We constructed four sequential models for analysis: Model 1 adjusted for age, sex, education level, geographic region, marital status, and average household income; Model 2 further adjusted for smoking, drinking, BMI, and physical activity; Model 3 further adjusted for dietary fat, cholesterol, vegetable, energy, sodium, and red meat; Model 3 further adjusted for hypertension, dyslipidemia, diabetes, and tumor. All the aforementioned analyses were implemented in R.
3 Results
This study utilized data from the China Health and Nutrition Survey, including a total of 8,023 participants, which consisted of 3,595 males and 4,428 females. This study investigated the combined effects of inflammation and blood lipid abnormalities on stroke. The study subjects were divided into four groups: Normal CRP levels and non-dyslipidemia (4,393), Elevated CRP levels and non-dyslipidemia (660), Normal CRP levels and dyslipidemia (2,416), Elevated CRP levels, and dyslipidemia (554). The average age of the study participants was 58.7 ± 10.6. In the population with elevated inflammatory levels and abnormal lipid profiles, it is commonly observed that they are predominantly married women with lower levels of education, residing in rural areas, unemployed, and have insufficient physical activity levels. They also tend to have a higher prevalence of overweight and obesity. However, the proportion of individuals who smoke or consume alcohol is relatively low, which may be associated with gender differences (Table 1).
Table 1
| Variables (%) | Total | Normal CRP levels and non-dyslipidemia | Elevated CRP levels and non-dyslipidemia | Normal CRP levels and dyslipidemia | Elevated CRP levels and dyslipidemia |
|---|---|---|---|---|---|
| Age (years)*** | 55.9 ± 10.1 | 55.3 ± 10.1 | 58.9 ± 10.7 | 55.5 ± 9.6 | 58.2 ± 10.2 |
| Gender, (%)*** | |||||
| Male | 3,595 (44.8) | 1,877 (42.7) | 292 (44.2) | 1,202 (49.8) | 224 (40.4) |
| Female | 4,428 (55.2) | 2,516 (57.3) | 368 (55.8) | 1,214 (50.2) | 330 (59.6) |
| Marital status, (%) | |||||
| Married | 7,460 (93.0) | 4,101 (93.4) | 601 (91.1) | 2,241 (92.8) | 517 (93.3) |
| Other | 563 (7.0) | 292 (6.7) | 59 (8.9) | 175 (7.2) | 37 (6.7) |
| Education level, (%)*** | |||||
| Primary school | 3,519 (43.9) | 1,968 (44.8) | 324 (49.1) | 970 (40.1) | 257 (46.4) |
| Middle school | 2,483 (30.9) | 1,366 (31.1) | 186 (28.2) | 772 (32.0) | 159 (28.7) |
| High school and above | 2,021 (25.2) | 1,059 (24.1) | 150 (22.7) | 674 (27.9) | 138 (24.9) |
| Geographic region, (%)*** | |||||
| Urban | 2,763 (34.4) | 1,415 (32.2) | 245 (37.1) | 893 (37.0) | 210 (37.9) |
| Rural | 5,260 (65.6) | 2,978 (67.8) | 415 (62.9) | 1,523 (63.0) | 344 (62.1) |
| Working status, (%)*** | |||||
| Yes | 4,066 (50.7) | 2,350 (53.5) | 313 (47.4) | 1,173 (48.6) | 230 (41.5) |
| No | 3,957 (49.3) | 2,043 (46.5) | 347 (52.6) | 1,243 (51.4) | 324 (58.5) |
| Smoking, (%)** | |||||
| Yes | 2,305 (28.7) | 1,213 (27.6) | 181 (27.4) | 760 (31.5) | 151 (27.3) |
| No | 5,718 (71.3) | 3,180 (72.4) | 479 (72.6) | 1,656 (68.5) | 403 (72.7) |
| Drinking, (%)* | |||||
| Yes | 2,420 (30.2) | 1,289 (29.3) | 185 (28.0) | 784 (32.5) | 162 (29.2) |
| No | 5,603 (69.8) | 3,104 (70.7) | 475 (72.0) | 1,632 (67.5) | 392 (70.8) |
| BMI (kg/m2), (%)*** | |||||
| < 18.5 | 277 (3.5) | 199 (4.5) | 42 (6.4) | 33 (1.4) | 3 (0.5) |
| 18.5~23.9 | 3,854 (48.0) | 2,484 (56.5) | 281 (42.6) | 932 (38.6) | 157 (28.3) |
| 24.0~27.9 | 2,886 (36.0) | 1,371 (31.2) | 213 (32.3) | 1,058 (43.8) | 244 (44.0) |
| ≥28.0 | 1,006 (12.5) | 339 (7.7) | 124 (18.8) | 393 (16.3) | 150 (27.1) |
| Physical activity (met·hours/week), (%)*** | 185.7 ± 195.1 | 202 ± 201 | 180 ± 188 | 166 ± 185 | 153 ± 187 |
| Average household income (RMB/year) | 16,377 ± 30,261.3 | 16,109 ± 34,327 | 14,249 ± 16,112 | 17,337 ± 25,527 | 16,846 ± 27,576 |
Baseline characters of participants grouped by elevated CRP levels and dyslipidemia.
***P < 0.0001; **P < 0.01; *P < 0.05.
In the study of the relationship between CRP levels and stroke, it was found that higher CRP levels in Chinese women are associated with an increased risk of stroke, with a risk 2.13 times higher than that of the normal population. However, no significant association was found between CRP levels and stroke risk in the overall population or among males (Table 2).
Table 2
| CRP (mg/L) | ||
|---|---|---|
| Normal CRP levels | Elevated-CRP levels | |
| Total | ||
| Number of participants | 13,631 | 2,415 |
| Number of stoke cases | 127 | 47 |
| OR (95%CI) | ||
| Model 1 | 1 | 1.64 (1.13, 2.36) |
| Model 2 | 1 | 1.55 (1.07, 2.25) |
| Model 3 | 1 | 1.56 (1.08, 2.25) |
| Model 4 | 1 | 1.40 (0.97, 2.03) |
| Males | ||
| Number of participants | 6,132 | 1,058 |
| Number of cases | 85 | 23 |
| OR (95%CI) | ||
| Model 1 | 1 | 1.19 (0.71, 1.99) |
| Model 2 | 1 | 1.22 (0.72, 2.05) |
| Model 3 | 1 | 1.21 (0.72, 2.03) |
| Model 4 | 1 | 1.06 (0.62, 1.79) |
| Females | ||
| Number of participants | 7,499 | 1,357 |
| Number of cases | 42 | 24 |
| OR (95%CI) | ||
| Model 1 | 1 | 2.60 (1.54, 4.37) |
| Model 2 | 1 | 2.24 (1.31, 3.81) |
| Model 3 | 1 | 2.27 (1.33, 3.89) |
| Model 4 | 1 | 2.13 (1.25, 3.64) |
Odd ratios (OR) and 95% confidence intervals (95% CI) of stroke according to serum hs-CRP concentrations.
Model 1: age, sex, education level, geographic region, marital status, and average household income. Model 2: model 1 with smoking, drinking, BMI, and physical activity. Model 3: model 2 with dietary fat, cholesterol, vegetable, energy, sodium, and red meat. Model 4: model 3 with hypertension, dyslipidemia, diabetes, and tumor.
The study of the association between dyslipidemia and stroke risk found no significant association between dyslipidemia and stroke incidence in the overall population. After stratifying the population by gender, the association remained insignificant (Supplementary material). Based on this, it was inferred that dyslipidemia may not be an independent risk factor for stroke. Dyslipidemia was further classified into four types, including high cholesterol, high triglycerides, abnormal low-density lipoprotein cholesterol levels, and abnormal high-density lipoprotein cholesterol levels. From the perspective of the overall population, after adjusting for confounding factors, it was found that low LDL cholesterol levels were positively correlated with the risk of stroke, which was also observed in males. However, no significant association was found in females for all other categories of dyslipidemia (Supplementary material).
The study population was further divided into four groups based on normal or abnormal C-reactive protein levels and whether they had dyslipidemia. Among the group with abnormal C-reactive protein and dyslipidemia, after adjusting for confounding factors, it was found that the risk of stroke in this group was 1.74 times higher than that of the normal population. In females, the risk of stroke was found to be 2.41 times higher in the group with abnormal C-reactive protein and dyslipidemia compared to the normal population. However, no such association was found in males (Table 3). Analysis of different types of dyslipidemia in combination with abnormal inflammation levels revealed that high LDL cholesterol combined with high levels of CRP are a risk factor for the development of stroke (Figure 2).
Table 3
| Normal CRP levels and non-dyslipidemia | Elevated CRP levels and non-dyslipidemia | Normal CRP levels and dyslipidemia | Elevated CRP levels and dyslipidemia | |
|---|---|---|---|---|
| Total | ||||
| Number of participants | 8,818 | 1,320 | 4,813 | 1,095 |
| Number of cases | 79 | 19 | 48 | 28 |
| OR (95%CI) | ||||
| Model 1 | 1 | 1.18 (0.70, 1.99) | 1.23 (0.86, 1.77) | 2.59 (1.63, 4.11) |
| Model 2 | 1 | 1.14 (0.67, 1.94) | 1.08 (0.74, 1.58) | 2.19 (1.36, 3.53) |
| Model 3 | 1 | 1.15 (0.68, 1.96) | 1.09 (0.75, 1.59) | 2.19 (1.36, 3.52) |
| Model 4 | 1 | 1.07 (0.62, 1.83) | 0.95 (0.65, 1.38) | 1.74 (1.08, 2.78) |
| Males | ||||
| Number of participants | 3,794 | 591 | 2,338 | 467 |
| Number of cases | 52 | 10 | 33 | 13 |
| OR (95%CI) | ||||
| Model 1 | 1 | 0.90 (0.44, 1.83) | 1.29 (0.83, 2.01) | 1.95 (0.98, 3.86) |
| Model 2 | 1 | 0.93 (0.45, 1.92) | 1.16 (0.72, 1.85) | 1.78 (0.88, 3.59) |
| Model 3 | 1 | 0.92 (0.45, 1.89) | 1.17 (0.73, 1.87) | 1.79 (0.89, 3.60) |
| Model 4 | 1 | 0.83 (0.39, 1.75) | 1.00 (0.62, 1.60) | 1.35 (0.66, 2.74) |
| Females | ||||
| Number of participants | 5,024 | 729 | 2,475 | 628 |
| Number of cases | 27 | 9 | 15 | 15 |
| OR (95%CI) | ||||
| Model 1 | 1 | 1.86 (0.87, 3.97) | 1.08 (0.58, 2.04) | 3.60 (1.93, 6.73) |
| Model 2 | 1 | 1.63 (0.74, 3.59) | 0.95 (0.49, 1.81) | 2.77 (1.45, 5.32) |
| Model 3 | 1 | 1.71 (0.77, 3.83) | 0.98 (0.51, 1.89) | 2.80 (1.46, 5.40) |
| Model 4 | 1 | 1.69 (0.76, 3.78) | 0.90 (0.47, 1.75) | 2.41 (1.29, 4.49) |
The joint association of elevated CRP levels and dyslipidemia with stroke.
Model 1: age, sex, education level, geographic region, marital status, and average household income. Model 2: model 1 with smoking, drinking, BMI, and physical activity. Model 3: model 2 with dietary fat, cholesterol, vegetables, energy, sodium, and red meat. Model 4: model 3 with hypertension, diabetes, and tumor.
Figure 2
Analysis of the combined effect of different types of dyslipidemia and high levels of CRP on stroke.
4 Discussion
In this study, we investigated the association between inflammation levels and stroke in adults aged 40 and older in China. We also examined the association between dyslipidemia and stroke, as well as the combined effect of inflammation and different types of dyslipidemia on stroke. The results showed that higher levels of inflammation (>3) were positively correlated with stroke in women aged 40 and over in China. Compared to women with normal inflammation levels, women with higher inflammation levels had a 2.60-fold higher probability of stroke (OR = 2.60, 95% CI: 1.54–4.37). After adjusting for confounding factors, the probability of stroke in women with higher levels of inflammation was 2.13 times higher (OR = 2.13, 95%CI: 1.25–3.64). In a study of 90,517 Chinese adults who had no stroke or myocardial infarction at baseline, they found that people with high levels of C-reactive protein had a 1.25 times higher risk of having a stroke than the normal population. The risk was 1.25 times higher for men and for people with hypertension (12). The European prospective investigation into cancer and nutrition (EPIC)-Norfolk cohort-based study included 18,450 healthy individuals at baseline, and the results showed that CRP was associated with the occurrence of a stroke (13). In studies in Germany and the UK, CRP has been shown to be an important way to predict heart disease, like myocardial infarction and stroke (14–17). In the present study, the above associations were not found in the whole population or in men, and it is hypothesized that they may be related to the unique physiological status of women.
No association was found between dyslipidemia and stroke in the general population. However, when looking at different types of dyslipidemia, there was an association between high LDL-C dyslipidemia and stroke. Compared to the population without dyslipidemia, the probability of stroke was 1.56 times higher in individuals with high LDL-C dyslipidemia (OR = 1.56, 95% CI: 1.03–2.37). Studies both at home and abroad have shown that dyslipidemia is a risk factor for stroke (18–21). In a cross-sectional study conducted in China in 2015, 16,892 study participants were included, and after adjusting for confounders, it was found that hypertension, dyslipidemia, and physical inactivity were risk factors for stroke among adults aged 40 years and older in southwest China (22). The Chinese study showed that among people aged 40 years and older, low HDL-C dyslipidemia was predominantly found in urban areas, while other types of dyslipidemia were predominantly found in rural areas and were more common in women (23). The association between high LDL-C dyslipidemia and stroke observed in this study may be related to the distribution of different types of dyslipidemia in different populations.
Based on above studies, we conducted our study to assess the combined effect of elevated-CRP levels and dyslipidemia on the overall risk of stroke in the middle-aged and geriatric Chinese population. This study demonstrated a positive correlation between the combined effect of high levels of inflammation and dyslipidemia and stroke in the overall population. The probability of stroke was 1.74 times higher in individuals with high levels of inflammation and dyslipidemia compared to those without abnormalities (OR = 1.74, 95%CI: 1.08–2.78). In women, the probability of stroke was 2.41 times higher in those with high levels of inflammation and dyslipidemia compared to normal women (OR = 2.41, 95%CI: 1.29–4.49). Atherosclerosis is a major cause of cardiovascular disease, and dyslipidemia can be involved in the development of atherosclerosis by activating pro-inflammatory cytokines (24–27). During the development of atherosclerosis, inflammation within the vessel wall occurs due to vascular endothelial dysfunction and poor vascular smooth muscle cell plasticity (28), which in turn promotes stroke occurrence.
The combined effect of high inflammation levels and high LDL cholesterol dyslipidemia was also positively correlated with stroke in the overall population. The probability of stroke was 3.06 times higher in individuals with high inflammation levels and high LDL cholesterol dyslipidemia compared to the population without abnormalities (OR = 3.06, 95%CI: 1.65–5.70). It has been shown that in the development of atherosclerosis, LDL cholesterol can interact with vascular-related cells (endothelial, smooth muscle cells, and macrophages), which leads to the secretion of growth factors and adhesion molecules and the formation of foam cells, which are more likely to lead to inflammation (29–33). Furthermore, it has been suggested that LDL plays a role in the progression of arterial stiffness and that elevated levels of LDL are associated with an elevated risk of ischemic heart disease and coronary artery disease (CAD) (34). After 3 years of follow-up, a prospective study from Copenhagen found that higher LDL levels were associated with a higher risk of ischemic stroke in 38,319 study participants (35).
Stroke has now become one of the chronic non-communicable diseases (NCDs) that seriously endanger the lives and health of the Chinese people, and its disease burden is increasing year by year. However, there are relatively few studies on the association between inflammation and stroke in Chinese residents aged 40 years and older, and even fewer studies on the effect of inflammation combined with dyslipidemia on stroke. In this study, we investigated the effects of inflammation, dyslipidemia (of different types) and their combined effects on stroke, which is conducive to the prevention of stroke. Of course, the study also has the following limitations. First, this population cohort mainly studies dietary changes in China. Compared to the traditional cardiovascular cohort, this may underestimate the number of strokes, leading to skewed results. Second, the questions asked during follow-up showed if someone had a stroke based on what they said themselves and not on a medical diagnosis. In addition, because the information is incomplete, it cannot greatly distinguish between the type of stroke (ischemic stroke and hemorrhagic stroke). Third, the study was conducted in non-consecutive years (2009, 2015 and 2018) and only with a 3-day 24-h dietary recall, household food weighing method, and food frequency questionnaire which may limit the results (inclusively alter them).
In conclusion, the findings of our study demonstrate that the co-occurrence of elevated CRP levels and dyslipidemia may heighten the susceptibility to stroke in middle-aged and older adult individuals in China. Implementing interventions targeting these risk factors may be beneficial for stroke prevention. Consequently, further research is warranted to assess the predictive capacity of elevated CRP levels and dyslipidemia for stroke risk over an extended period of observation.
Statements
Data availability statement
The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.
Ethics statement
The studies involving humans were approved by the National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, approved the survey (No. 201524, 8/18/2015) Institutional Review Board of the University of North Carolina at Chapel Hill, North Carolina, United States (No. 07-1963, 6/21/2016). The studies were conducted in accordance with the local legislation and institutional requirements. The participants provided their written informed consent to participate in this study.
Author contributions
ML: Conceptualization, Methodology, Software, Visualization, Writing – original draft, Writing – review & editing. CS: Conceptualization, Investigation, Supervision, Writing – review & editing. FH: Data curation, Investigation, Supervision, Writing – review & editing. XJ: Investigation, Supervision, Writing – review & editing. JZ: Investigation, Writing – review & editing. HW: Investigation, Project administration, Writing – review & editing. XW: Investigation, Writing – review & editing. WZ: Investigation, Writing – review & editing. WD: Conceptualization, Investigation, Supervision, Writing – review & editing.
Funding
The author(s) declare financial support was received for the research, authorship, and/or publication of this article. The survey received funding from the National Institutes of Health (NIH) (R01-HD30880, DK056350, R24 HD050924, and R01-HD38700) from 1989 to 2019. This study was also funded by the Ministry of Finance of the Republic of China from 2015 to 2017 (13103110700015005).
Acknowledgments
The authors would like to thank all of the participants involved in this survey and all the teams and staff who have worked on the China Health and Nutrition Survey (CHNS).
Conflict of interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Publisher’s note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
Supplementary material
The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fpubh.2024.1435004/full#supplementary-material
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Summary
Keywords
C-reactive protein, dyslipidemia, stroke, interaction, health
Citation
Lv M, Su C, Huang F, Jia X, Zhang J, Wang H, Wu X, Zhou W and Du W (2024) Combined impact of elevated C-reactive protein levels and dyslipidemia on stroke: a CHNS prospective cohort study. Front. Public Health 12:1435004. doi: 10.3389/fpubh.2024.1435004
Received
20 May 2024
Accepted
05 August 2024
Published
23 August 2024
Volume
12 - 2024
Edited by
Hipólito Nzwalo, University of Algarve, Portugal
Reviewed by
George Grant, Independent Researcher, Aberdeen, United Kingdom
Isabel Taveira, Algarve Hospital Center, Portugal
Updates
Copyright
© 2024 Lv, Su, Huang, Jia, Zhang, Wang, Wu, Zhou and Du.
This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Wenwen Du duww@ninh.chinacdc.cn
Disclaimer
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