Abstract
Background
Hypertension and obesity are recognized as modifiable risk factors for stroke, but their combined effects are unknown. This study aimed to explore the combined effects of hypertension and general or central obesity on the risk of ischemic stroke in a middle-aged and elderly population.
Methods
The data of 11,731 participants (53.5 ± 10.5 years old) were analyzed from the Northeast China Rural Cardiovascular Health Study, 2012–2013. General obesity (GO) was defined by body mass index (BMI); central obesity (CO) was measured by waist circumference (WC), waist-to-height ratio (WHtR) and waist-to-hip ratio (WHpR).
Results
The overall prevalence of ischemic stroke was 3.1%. After adjusting for age and sex, the odds ratios for having ischemic stroke were 4.31 (3.14–5.91) among subjects with hypertension, 1.79 (1.40–2.30) with GO, 1.94 (1.54–2.43), 1.98 (1.54–2.53), and 1.65 (1.33–2.06) with CO measured by WC, WHtR and WHpR, respectively. After full adjustment for potential confounders, the combinations of hypertension and obesity indices (including BMI, WC, WHtR and WHpR) were associated with the highest risk of ischemic stroke, especially in women, which were respectively 7.3-fold, 9.3-fold, 9.9-fold and 7.6-fold higher than that of individuals without both conditions.
Conclusion
Our study results suggest that women with both hypertension and obesity, no matter defined by BMI, WC, WHtR or WHpR, were more likely to have ischemic stroke. A better understanding of the combined effects of these risk factors can help promote primary prevention in susceptible subgroups.
Introduction
In recent years, stroke has become a challenging health burden worldwide, as the second leading cause of mortality and the number one cause of adult disability.Citation1–Citation3 Although incidence decreased in high-income countries over the past two decades, stroke has increased substantially in low-income and middle-income countries, especially in China.Citation4–Citation6 In China, 2.4 million new stroke cases and 1.1 million stroke-related deaths were added annually, estimated with data from the National Disease Surveillance Points System.Citation7 Because of its high prevalence and mortality as well as the associated disability, better primary prevention of stroke has become a major priority for public health in China and globally.
Hypertension (HTN) is a well-recognized modifiable risk factor for stroke.Citation8 According to the China National Stroke Registry, 72.7% of patients with ischemic stroke had HTN; patients with HTN had an increased risk of recurrent stroke than their counterparts.Citation9,Citation10 For every 10 mmHg reduction in systolic blood pressure (SBP), the risk of stroke recurrence was reduced by 33% (95% CI, 9–51%).Citation11 It has been documented that population with a mean SBP >115 mmHg could explain 60% of the stroke risk.Citation12 Along with HTN, obesity has also been recognized as a modifiable risk factor for stroke.Citation13,Citation14 According to the EUROASPIRE III core survey, 35.5% of first-ever ischemic stroke patients had a body mass index (BMI) ≥30 kg/m2, 62.4% exhibited elevated blood pressure.Citation15 A longitudinal study has demonstrated that BMI ≥ 30.0 kg/m2 had a significantly increased risk of stroke in both men and women.Citation16
Considering the potential relationship between hypertension, obesity and stroke, it is necessary to better understand the association between these conditions. Accordingly, our study aimed to investigate the correlation of ischemic stroke, the most common subtype of stroke, with hypertension and general or central obesity (measured by body mass index, waist circumference, waist-to-height ratio and waist-to-hip ratio), based on the Northeast China Rural Cardiovascular Health Study (NCRCHS) data. We also proposed to explore the relative risk of having ischemic stroke according to the presence of general or central obesity, hypertension, or both conditions.
Methods
Study Population
This study originated from the NCRCHS data, a representative sample of the Chinese population in the Northeast region. The cross-sectional epidemiological survey of NCRCHS was conducted from January 2012 to August 2013. Detailed design about NCRCHS has been fully described elsewhere.Citation17 Subjects (age ≥35 years) had participated in face-to-face interviews and health examinations. Of the 11,956 individuals whose data were used in the 2012–2013 NCRCHS, participants with incomplete biochemical and clinical data were excluded from our study. Therefore, a total of 11,731 participants were enrolled in this work. Written informed consent was provided from all subjects. The Ethics Committee of China Medical University approved this study protocol.
Data Collection
The information about data collection was fully discussed by our previous studies.Citation18,Citation19 Briefly, cardiologists and nurses underwent rigorous training, passed a final exam, and acquired the qualification to conduct the investigation. The information of the investigation was collected through self-administered questionnaires regarding demographic data, anthropometric parameters, and health-related behaviours. The quality assurance process of data collection was administrated by the central steering committee with a subcommittee.
The questionnaires were designed to collect detailed information from all subjects. Smoking and drinking status were stratified into the current status and others based on subjects’ self-reports. BMI was determined as follows: BMI = weight (kg)/height2 (m2). The waist-to-height ratio (WHtR) and waist-to-hip ratio (WHpR) were calculated as follows: WHtR = waist circumference (cm)/height (cm); WHpR = waist circumference (cm)/hip circumference (cm).
After resting for at least 5 minutes in a moderately relaxed and sitting state, blood pressure measurements were taken for each subject 3 times and measured by two randomly selected staff. The average value of 3 readings was used as the result of blood pressure.
After participants were fasting more than 12 hours, blood samples were collected in the morning. For long-term storage, the serum was subsequently separated by calibrated centrifuge and frozen at −20 Celsius degree. The fasting blood samples were analyzed to collect blood biochemical information, including fasting plasma glucose (FPG), serum creatinine (Scr), triglyceride (TG), total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C) and high-density lipoprotein cholesterol (HDL-C).
Definition
General obesity (GO) was defined as BMI ≥28 kg/m2, regardless of sex.Citation20 Central obesity (CO) was determined as a waist circumference (WC) ≥90 cm or a WHtR ≥0.5 or a WHpR ≥0.9 for men and WC ≥80 cm or a WHtR ≥0.5 or a WHpR ≥0.85 for women.Citation21–Citation23 Hypertension was defined by mean SBP ≥140 mmHg, or mean diastolic blood pressure (DBP) ≥90 mmHg, or self-reported physician-diagnosed hypertension, or current antihypertensive treatment.Citation24 Ischemic stroke was diagnosed by a history of cerebrovascular events, which was determined by either cranial computed tomography or magnetic resonance imaging within the past two years.
Statistical Analysis
For categorical variables, the results were presented as frequencies (percentages). Also, the following continuous variables were displayed as mean values ± standard deviation (SD) or median (interquartile). Pearson’s partial correlation coefficient was performed to reflect the relationship between blood pressures and four obesity indices, and to characterize how blood pressures correlated with these indexes adjusted for age, sex, current smoking, current drinking, FPG, TG, HDL-C, estimated glomerular filtration rate (eGFR). Multivariate logistic regression analysis was conducted to estimate the independent effect of ischemic stroke with general obesity, central obesity in three definitions, and hypertension, which presented with adjusted odds ratios (ORs) and 95% confidence interval (95% CI). Subgroup analyses were performed after classifying the participants according to age, sex, and the presence of hypertension with or without general obesity or central obesity in three different definitions. All statistical analyses were performed using SPSS 25.0 software (IBM corp).
Results
Characteristics of the Study Population
Of the 11,731 participants who enrolled in our study, a total of 367 were classified as having ischemic stroke. shows the characteristics of the study population. Among the total subjects with ischemic stroke, less than half were men and the mean age was 63.3 ± 8.6 years. Participants with ischemic stroke had higher age, BMI, FPG, TC, TG, LDL-C, WC, SBP, and DBP, with lower HDL-C, and eGFR, compared with those without ischemic stroke. The proportion of subjects with current smoking and current drinking was lower in the ischemic stroke group. Hypertension, general obesity, and central obesity measured by WC, WHtR and WHpR presented a higher prevalence among participants with ischemic stroke. However, when we analyzed males and females separately, there was no difference in TC between normal and male participants with stroke.
Table 1 Characteristics of Study Population Divided by Ischemic Stroke and Sex
displays the prevalence of ischemic stroke according to the presence of hypertension and GO measured by BMI or CO measured by WC, WHtR and WHpR. The total prevalence of ischemic stroke was highest in subjects with both conditions among the four groups. However, males with hypertension but without general obesity had a higher prevalence than those with both hypertension and GO. The prevalence of ischemic stroke with both hypertension and CO measured by WC, WHtR or WHpR was respectively 5.1% for men vs. 6.8% for women, 5.7% for men vs. 6.4% for women and 5.3% for men vs. 7.3% for women.
Figure 1 The prevalence of ischemic stroke according to the presence of hypertension and general or central obesity.
Relationship Between Blood Pressures and Obesity Indices
The partial correlation coefficients for blood pressures and obesity indices are presented in . Age, sex, current smoking, current drinking, FPG, TG, HDL-C and eGFR were adjusted for the analyses. Among two blood pressures and four obesity indices, the greatest correlation was observed between SBP and BMI with a coefficient of 0.26. For obesity indices, the correlation coefficient between WC and WHtR was largest at 0.94.
Table 2 Relationship Between Blood Pressures and Obesity Indices Adjusted by Age, Sex, Current Smoking, Current Drinking, FPG, TG, HDL-C and eGFR
Risk Factors for Ischemic Stroke
displays the results of logistic regression analyses, employed to corroborate the independent risk factors for ischemic stroke. All hypertension, GO, and CO measured by WC, WHtR and WHpR were significant risk factors for ischemic stroke in the total population. After adjustment for age and sex, the ORs for having ischemic stroke were 4.31 (3.14–5.91) among subjects with hypertension, 1.79 (1.40–2.30) among participants with GO, 1.94 (1.54–2.43), 1.98 (1.54–2.53), and 1.65 (1.33–2.06) among subjects with CO measured by WC, WHtR and WHpR, respectively. These correlations still existed after further adjustments for confounding factors, including current smoking, current drinking, FPG, TG, HDL-C, eGFR. Similarly, BMI-defined GO and WHpR-defined CO were correlated with an increased risk of ischemic stroke in both males and females, although no statistical significance in males. However, we observed gender-based differences regarding WHpR-defined CO. Central obesity measured by WHpR was independently correlated with ischemic stroke only in females with adjusted OR of 1.87 (95% CI: 1.34–2.62).
Table 3 Multivariate-Adjusted Odds Ratios (ORs) of the Association of Ischemic Stroke with General Obesity, Central Obesity and Hypertension
Subgroup Analysis According to Combination of Hypertension and General or Central Obesity
exhibits the odds ratios (95% CI) for having ischemic stroke, according to different combinations of hypertension and general or central obesity in subgroups. Individuals without both conditions were recognized as the reference group. Sex, age, current smoking, current drinking, FPG, TG, HDL-C and eGFR were adjusted for our analyses. In the total population, individuals with both hypertension and GO had nearly five times higher risk of ischemic stroke than those without both conditions; subjects with both hypertension and CO measured by WC, WHtR or WHpR also had higher risks than those in the reference groups. The risk of ischemic stroke in participants with both hypertension and GO has increased up to more than five-fold among the middle age group (45≤ age <60 years). Notably, there was an increased risk of ischemic stroke among females who had both hypertension and BMI-defined GO or WHpR-defined CO than their counterparts. Meanwhile, the risk was substantially amplified among females with both hypertension and CO measured by WC or WHtR, which increased up to more than nine-fold risk, compared with females without both conditions.
Table 4 The Odds Ratios for the Presence of Ischemic Stroke According to Combination of Hypertension and General or Central Obesity
shows the ORs of ischemic stroke according to the presence of hypertension and general obesity or central obesity by sex. For men and women, the odds ratios of ischemic stroke in individuals with both conditions were largest among the four groups in the combination of hypertension and GO. In the other three combinations of hypertension and CO measured by WC, WHtR or WHpR, the odds ratios with both conditions were also the largest among the four groups. The results demonstrated the trend that the risks of ischemic stroke in subjects with both conditions were highest among the four different combinations in both men and women.
Figure 2 The odds ratios of ischemic stroke according to the presence of hypertension and general or central obesity by sex.
Discussion
The present study suggests that hypertension and obesity indices (including BMI, WC, WHtR and WHpR) were independently and positively correlated with an increased risk of ischemic stroke in a middle-aged and elderly population. Most importantly, these risk factors had prominent combined effects: the combinations of hypertension and obesity indices (including BMI, WC, WHtR and WHpR) were associated with the highest risk of ischemic stroke, particularly in women, which were respectively 7.3-fold, 9.3-fold, 9.9-fold and 7.6-fold higher than that of individuals without both conditions. Accordingly, the combined effects of hypertension and general obesity defined by BMI or central obesity measured by WC, WHtR and WHpR were synergistically associated with the risk of ischemic stroke, and the effects were more prominent in women than in men.
To our knowledge, this study is the first to investigate not only the independent impacts of obesity indices (including BMI, WC, WHtR and WHpR) and hypertension on the risk of ischemic stroke, but also the potential combined effects and interactions. Despite providing more information about public health, combined effects and interactions are often neglected. Previous studies have documented similar findings for BMI, WC, WHtR, WHpR or hypertension in association with ischemic stroke, without exploring their combined effects.Citation8,Citation14,Citation25–Citation27 Our findings indicated that the combination of obesity indices (including BMI, WC, WHtR and WHpR) and hypertension was positively correlated with the highest risk of ischemic stroke in total population, especially in women, whose risks were almost three times greater than in men.
Results of our study also show that hypertension, BMI-defined general obesity or WC, WHtR and WHpR-defined central obesity are independently associated with total and female ischemic stroke. Our findings indicate that general obesity and central obesity have similar effects on ischemic stroke risk. Besides, our results also show that hypertension has a greater impact on ischemic stroke risk than general or central obesity. Consistently, hypertension is also a strong risk factor for ischemic stroke among those without obesity. These findings suggest that better control of elevated blood pressure throughout life may have long-term health benefits, with or without obesity.
In the subgroup analyses, the relative risks of having ischemic stroke were estimated according to different combinations of hypertension and general or central obesity, compared with the reference group with neither condition. The presence of concurrent hypertension and GO or CO was correlated with a strikingly increased risk of ischemic stroke in the total population. Moreover, the relative risk of ischemic stroke was remarkably increased among females who had both hypertension and BMI-defined GO or WHpR-defined CO, which increased up to more than seven-fold risk, than their reference groups. Meanwhile, the relative risk was strikingly amplified among females with both hypertension and CO measured by WC or WHtR, which increased up to more than nine-fold risk, compared with those without both conditions. It is worthwhile to determine a potential indicator and biomarker to predict cardiovascular disease in susceptible subgroups, and ischemic stroke, the most common subtype of stroke, has been considered as the important cause of mortality in cardiovascular diseases.Citation3,Citation28 Accordingly, these results may indicate that individuals with hypertension and BMI-defined general obesity or WC, WHtR and WHpR-defined central obesity, particularly women, should focus on preventing ischemic stroke.
The combined effects of hypertension and BMI-defined general obesity or WC, WHtR and WHpR-defined central obesity were more prominent in women compared with men. There is some evidence indicating gender-based differences in the combined effects to ischemic stroke, although the potential mechanisms for this phenomenon still need to be clarified.Citation29–Citation31 Due to the much higher incidence in old age as well as the longer life expectancy, women experienced more stroke prevalence than men.Citation29,Citation32 Furthermore, recent data have shown a downward trend in stroke incidence over time, and this decline was due to a decrease in the incidence of ischemic stroke in men.Citation31,Citation33 Additionally, the body composition of men and women was different; for example, men tended to have more skeletal muscle than women while women may have more body fat than men.Citation34 A recent study conducted in rural Northeast China suggested that compared with male participants with hypertension, female patients were more likely to take antihypertensive drugs, and therefore, antihypertensive treatment might play a role in the gender differences.Citation35 According to a prospective case-control study, increased WC and WHtR were positively and significantly associated with ischemic stroke only in women.Citation26 Although age and many confounding factors were fully adjusted for the regression analysis in this study, the gender-based differences we observed might also come from potential unmeasured confounders. Taken together, the gender-based differences in the combined effects on ischemic stroke are reasonable and acceptable Further study on gender physiology in the combined effects to ischemic stroke is required.
The limitations of this study mainly come from the cross-sectional design, which cannot establish a causal relationship between ischemic stroke and risk factors. To add, the generalizability of our results might be compromised because the study population only included rural residents from northeast China. Additionally, unmeasured or unknown confounding factors may affect the accuracy and validity of the results, such as diet, physical activity and medication information. Despite the limitations, the results of this study would be useful to public health, because we corroborated associations between ischemic stroke with both hypertension and general or central obesity according to gender in a large-scale Chinese population.
Conclusion
In conclusion, obesity indices (including BMI, WC, WHtR and WHpR) and hypertension were independently and positively correlated with an increased risk of ischemic stroke in a middle-aged and elderly population, regardless of gender. Most importantly, the combined effects of hypertension and BMI-defined general obesity or WC, WHtR and WHpR-defined central obesity were synergistically associated with the risk of ischemic stroke, and the effects were more prominent in women than in men. Accordingly, a better understanding of the combined effects of these modifiable risk factors can help promote primary prevention in susceptible subgroups.
Data Sharing Statement
The dataset used and/or analyzed during the current study are available from the corresponding author on reasonable request.
Ethics Approval
This study was conducted in compliance with the ethical principle of the Declaration of Helsinki. All participants provided written informed consent and all procedures were performed in accordance with the ethical standards. The study protocol was approved by the Ethics Committee of China Medical University (Shenyang, China).
Acknowledgments
This work was supported by the National Key Research and Development Program from the Ministry of Science and Technology of China (grant numbers 2017YFC1307600, 2018YFC1312400); Liaoning science and technology project (grant number 2017107001); and Science and Technology Program of Shenyang, China (grant number 17-230-9-06).
Disclosure
The authors declare that they have no conflicts of interest for this work.
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