SYSTEMATIC REVIEW article
Volume 10 - 2019 | https://doi.org/10.3389/fneur.2019.00852
The Effect of Magnesium Intake on Stroke Incidence: A Systematic Review and Meta-Analysis With Trial Sequential Analysis
- 1Department of Thoracic Surgery, The First Affiliated Hospital of Nanchang University, Nanchang, China
- 2Departments of Neurosurgery, Peking Union Medical College, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China
- 3Department of Neurology, The Second Affiliated Hospital of Nanchang University, Nanchang, China
- 4Department of Cardiology, The Second Affiliated Hospital of Nanchang University, Nanchang, China
Background: The effect of magnesium on stroke has been consistently discussed less, and the results of previous studies have been contradictory. We reviewed the latest literature and quantified robust evidence of the association between magnesium intake and stroke risk.
Methods: PubMed, EMBASE, the Cochrane Library, the Web of Science and ClinicalTrials.gov were searched through inception to January 15, 2019 for prospective cohort studies on magnesium intake and the incidence of stroke.
Results: Fifteen studies with low bias involving 18 cohorts were entered into this study. The summary relative risk (RR) was significantly reduced by 11% for total stroke (RR: 0.89 [95% CI, 0.83–0.94]; P < 0.001) and by 12% for ischemic stroke (RR: 0.88 [95% CI, 0.81–0.95]; P = 0.001), comparing the highest magnesium intake category to the lowest. After adjusting for calcium intake, the inverse association still existed for total stroke (RR: 0.89 ([95% CI, 0.80–0.99]; P = 0.040). There was an inverse but non-significant association for hemorrhagic stroke, subarachnoid hemorrhage and intracerebral hemorrhage. The quantitative associations for total and ischemic stroke were robust. Importantly, high-risk females who had a body mass index (BMI) ≥25 kg/m2 and who were subjected to a ≥12 y follow-up exhibited a greater decrease in RRs as a result of magnesium intake. For each 100 mg/day increase in magnesium, the risk for total stroke was reduced by 2% and the risk for ischemic stroke was reduced by 2%.
Conclusions: Increasing magnesium intake may be a crucial component of stroke prevention that acts in a dose-dependent manner. However, the conclusion is limited by the observational nature of the studies examined, and further randomized controlled trials are still needed.
1. We conducted a quantitative analysis that suggested that magnesium intake has a strong inverse association with total stroke.
2. Magnesium-rich food consumption should be recommended in dietary guidelines for high-risk individuals.
3. Highlighting early management or intervention of stroke requires various efforts and strategies.
4. This study, which includes a considerable amount of evidence, assists with innovation of the global dietary pattern.
5. This can be regarded as the latest meta-analysis for the association between magnesium intake and total stroke and ischemic stroke.
Magnesium acts as a critical cofactor for hundreds of enzymes involved in glucose metabolism, protein production, and nucleic acid synthesis (1, 2). An intake deficiency has been reported to be associated with many diseases, such as Alzheimer's disease, asthma, attention deficit hyperactivity disorder, type 2 diabetes, hypertension, cardiovascular disease (e.g., stroke), migraine headaches, osteoporosis, and cancer (1, 2).
The American Heart Association (AHA)/American Stroke Association (ASA) (3) guidelines suggest following a Mediterranean diet to reduce sodium intake and increase potassium consumption. Despite the dietary pattern guidelines, the recommendations regarding other special nutrients, such as magnesium, have been limited, and most of the current investigations are concentrated on sodium, potassium or calcium. In past years, studies (1, 2, 4–16) of magnesium have emerged; however, the data on the topic are limited due to the challenge of conducting long-term follow-ups. Previous meta-analyses (14, 17–19) supported a mild benefit of magnesium intake for stroke patients, but these findings are insufficient to make specific recommendations and are not conclusive for dose-response patterns. We performed a more comprehensive meta-analysis with state-of-the-art statistical methods and new evidence (1) to estimate the effect of magnesium intake on stroke and to update the current evidence; (2) to apply trial sequential analysis (TSA) to determine whether current observational studies are conclusive; and (3) to establish a detailed dose-response relationship.
This study was performed according to the Cochrane Handbook and the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines (Table S1) (Registration information: PROSPERO CRD42018099363).
PubMed, EMBASE, Cochrane Library, Web of Science, and ClinicalTrials.gov were rigorously reviewed through inception to January 15, 2019 for studies on magnesium intake and stroke, without language restrictions. We used the following key words: “magnesium,” “Stroke,” “Cerebrovascular Stroke,” “Cohort Studies,” and “Prospective Studies.” The electronic searches were complemented by a manual search of the reference lists of retrieved studies.
We chose eligible studies according to the “PICOS” principles, and eligible studies had to meet the following criteria:
1) Population: individuals with certain dietary/energy intake who had no current stroke. Their current life expectancy was sufficient for proper follow-up, and their essential data were available;
2) Exposure: magnesium, including dietary and total intake (dietary and supplementary magnesium);
3) Outcome: total stroke, ischemic stroke, and hemorrhagic stroke [including subarachnoid hemorrhage and intracerebral hemorrhage according to anatomical site or presumed etiology (20)]; and
4) Study design: prospective cohort studies.
The follow-up period of the included studies was no <1 y. We excluded studies involving populations with prevalent cancer, stroke at baseline, implausibly low or high energy intake, or missing information; reviews; basic studies; meta-analyses; etc.
Data Extraction and Quality Assessments
Two investigators (YW and JX) independently extracted the following information: the first author, publication year, period of cohort studies, duration of persistent exposure, basic characteristics of the enrolled participants (age, region, BMI, etc.), median magnesium intake for each quantile (tertile, quartile, or quintile), total stroke cases, subtypes of total stroke, dietary and cases assessments, and adjusted confounding covariates. The adjusted relative risk (RR) and hazard ratio (HR) of the main outcomes in fully adjusted models were specifically extracted. Discrepancies were resolved by a discussion with a third author (WZ).
Three authors (BZ, WZ, and DY) assessed study methodological quality using the Newcastle-Ottawa Scale (NOS) (21). On a 0–10 scale, each study was categorized as low (0–5), medium (6–7), or high (8–10) quality.
Publications reporting data separately for men and women or based on different types of diseases were treated as independent cohorts. Multivariate RRs and the corresponding 95% confidence intervals (95% CIs) for stroke risk for the highest category vs. the lowest category of magnesium intake and other outcomes were estimated with the DerSimonian-Laird (D-L) random effects model because the assumptions involved accounted for the presence of within-study and between-study variability. The adjusted HRs in the primary studies were considered approximate RRs. Fully adjusted effect sizes (ESs) were logarithmically transformed to stabilized variance, and the distribution was normalized.
Between-study heterogeneity was determined with the Cochran Q chi-square test and I2. An I2> 50% or a P-value for the Q test <0.1 was regarded as indicating significant heterogeneity. In addition, a sensitivity analysis was performed by omitting one study each time to obtain an understanding of the causes of the heterogeneity. We conducted post-subgroup analyses to determine the influence of other clinical factors (e.g., participant region, sex, mean BMI, etc.).
Publication bias was investigated by Egger's linear regression tests with P < 0.10 indicating significant bias. All analyses were performed using Stata version 14.0 (StataCorp, College Station, TX, USA); two-sided P < 0.05 was statistically significant, except where otherwise specified.
Trial Sequential Analysis
Random errors stem from sparse data, and repetitive testing of accumulating data increases the risk of type 1 error (false positive). The risk of type 1 error can be reduced by TSA with TSA software (version 0.9 beta, http://www.ctu.dk/tools-and-links) because this analysis combined the estimation of required information size (RIS) with an adjusted threshold for statistical significance (22). This method could reveal whether the evidence was abundant and conclusive in our meta-analysis. If the Z-curve crosses the TSA boundary or enters the futility area, a sufficient effect is reached, and further studies are not needed; if not, the evidence in our study would be insufficient. The TSA was performed for a 5% relative risk reduction for stroke outcome, a 10% reduction for subarachnoid and intracerebral hemorrhage outcome, and conservatively, according to the TSA manual, a 5% (α = 0.05; two-sided) total risk of type 1 error and 80% statistical power.
The methods used for the dose-response analyses of the main outcomes were proposed by Orsini et al. (23). The categories of magnesium intake, distributions of cases and person-years, RR and 95% CI were extracted. Once the number of cases and/or person-years was not available, variance-weighted least squares regression was used to pool the risk estimate. For most studies, the median intake for each quantile (tertile, quartile or quintile) of magnesium intake was assigned as the representative dose. For continuous intake reported as categorical data with a range in some studies, we assigned the midpoint category of the lower and upper bounds to the RR. When the highest category was open-ended, we assumed the range of the open-ended interval to be 1.5 times that of the adjacent interval; when the lowest category was open, we assumed the range the open-ended interval to be 1.5 times that of the range of the adjacent interval in the category. We determined generalized least squares regression models to calculate study-specific RR estimates per 50, 100, and 150 mg/day increase in magnesium intake if there was evidence for linear relationships. In addition, the non-linear relationships between magnesium intake and all types of stroke were evaluated using restricted cubic splines with four knots located at the 5th, 35th, 65th, and 95th percentiles of the distribution. The P-value for curve linearity or nonlinearity was calculated by testing the null hypothesis that the coefficient of the second spline is equal to zero.
All results were presented using two-stage dose-response model plots (including linear and non-linear relationships). The results of <50 mg/day, ≥50 and <100 mg/day, ≥100 and <150 mg/day, and ≥150 mg/day increments were displayed in forest plots.
Study Selection and Characteristics
Of 5,037 studies (4,948 from the mentioned databases and 89 from other available literature), 4,973 studies were excluded during the initial screening, and 49 studies were excluded after full consideration (Figure S1).
The 15 (4–8) publications, involving 18 cohorts with 692,998 participants and 20,138 total stroke cases, were entered into our analysis (mean follow-up, 14.4 y; mean BMI, 24.9 kg/m2; most middle-aged). Regarding the subtypes of total stroke, 15 reports from 12 publications (1, 2, 5–11, 13, 14, 16) revealed the associations with ischemic stroke, and 10 cohorts from 8 publications (2, 5–7, 9, 13, 14, 16) revealed hemorrhagic stroke results. Of those eligible, 6 studies (1, 4–6, 13, 14) were conducted in North America (America), 5 (2, 7, 11, 12, 15) in Europe (Sweden, the Netherlands and the United Kingdom), and 4 (8–10, 16) in Asia (Taipei and Japan). Only male patients were considered in 3 studies (4, 7, 13), and only females were considered in 4 studies (2, 5, 6, 14); the other 8 studies (1, 8–12, 15, 16) enrolled male and female patients. Most of the eligible studies used the food frequency questionnaire (FFQ) or the semiquantitative FFQ (SFFQ) to assess each individual's diet. Seven studies (1, 6, 9–11, 15, 16) used dietary magnesium intake, and 8 studies (2, 4, 5, 7, 8, 12, 14) used total magnesium intake. Of note, the adjusted confounders were mostly alike; however, the adjusted dietary confounders, such as cereal fiber, potassium, and calcium, varied across the individual studies (no studies adjusted for sodium). All papers were written in English (Table S2). The average NOS score was 8.93; thus, all included studies were of high quality. Among all studies, the study by Sluijs et al. (11) was the only one to provide no assessment of outcomes (Table S3).
Synthesis of Total Stroke, Ischemic Stroke, and Hemorrhagic Stroke
Fifteen publications on total stroke showed that the RR was reduced by 11% (RR, 0.89 [95% CI, 0.83–0.94]; P < 0.001) with no heterogeneity (I2 = 0%; P = 0.529) in the highest category vs. the lowest category. For the dose-category-specific analyses, a trend of reduced RR was found in <50 mg/day increments (RR, 0.95 [95% CI, 0.87–1.05]; P = 0.331), ≥50 and <100 mg/day (RR, 0.97 [95% CI, 0.92–1.01]; P = 0.108), and ≥100 and <150 mg/day (RR, 0.95 [95% CI, 0.88–1.02]; P = 0.154), but the results were not significant. Regarding the ≥150 mg/day increments, the risk decreased by 15% (RR, 0.85 [95% CI, 0.79–0.91]; P < 0.001) (Figure 1). Although the pooled ESs did not exceed the RIS, the TSA established sufficient and conclusive evidence. Therefore, further observational studies are not required and are less likely to affect the conclusion (Figure 2, Figure S2).
Figure 1. Forest plots of the risk of total stroke for magnesium intake (A) and for <50 mg/day (B), ≥50 and <100 mg/day (C), ≥100 and <150 mg/day (D), and ≥150 mg/day Magnesium Increments (E). A total of 15 publications including 18 cohorts: reporting data separately for males and females (9, 15, 16) within an article were treated as independent studies. RR, relative risk.
Figure 2. Trial Sequential Analysis (TSA) of total stroke comparing the highest magnesium intake category to the lowest. The TSA illustrated that the cumulative Z-curve crossed both the conventional boundary for benefit and the trial sequential monitoring boundary for benefit, demonstrating that the results are robust and conclusive, and further studies are not required. A diversity required information size (RIS) of 396,204 was computed by α = 0.05 (two-sided); 80% statistical power, with a conservative relative risk reduction of 5%. X-axis, the number of patients; Y-axis, cumulative Z-score; Dark red lines, conventional boundaries (upper for benefit, Z-score = 1.96; lower for harm, Z-score = −1.96; two-sided P = 0.05); Sloping red lines with black, filled circle icons, trial sequential monitoring boundaries (two sides, computed accordingly); Sloping blue line with black, filled circle icons, Z-curve; Vertical red full line, RIS computed accordingly; Upper conventional boundary for benefit, area of benefit; Lower conventional boundary for harm, area of harm; Middle area, futility area; Red lines with black, filled circle icons in the futility area, futility boundaries.
Iso et al. (5) provided results for ischemic stroke and ischemic stroke excluding non-atherogenic stroke. Thirteen publications on ischemic stroke revealed that the estimated RR decreased by 12% (RR, 0.88 [95% CI, 0.81–0.95]; P = 0.001) with no significant heterogeneity (I2 = 16.9%; P = 0.265). No significant association was observed in <50 mg/day increments (RR, 0.94 [95% CI, 0.85–1.04]; P = 0.232), ≥50 and <100 mg/day (RR, 0.98 [95% CI, 0.93–1.03]; P = 0.419), or ≥100 and <150 mg/day (RR, 0.95 [95% CI, 0.87–1.04]; P = 0.249). The risk was reduced by 16% in the ≥150 mg/day increment analysis (RR, 0.84 [95% CI, 0.78–0.91]; P < 0.001) (Figure S3). TSA exhibited conclusive results and revealed that the relationship could hardly be altered by further trials (Figure 3, Figure S4).
Figure 3. Trial sequential analysis of ischemic stroke comparing the highest magnesium intake category to the lowest.
Eight studies found that the risk of hemorrhagic stroke was not significantly associated with magnesium intake (RR, 0.93 [95% CI, 0.82–1.06]; P = 0.282) nor were the <50 mg/day (RR, 1.00 [95% CI, 0.87–1.15]; P = 0.991), ≥50 and <100 mg/day (RR, 0.95 [95% CI, 0.85–1.07]; P = 0.405), ≥100 and <150 mg/day (RR, 0.91 [95% CI, 0.75–1.11]; P = 0.374), and ≥150 mg/day magnesium increments (RR, 0.96 [95% CI, 0.80–1.15]; P = 0.681) (Figure S5). The results on hemorrhagic stroke are not conclusive, and we still require further studies (Figures S6, S7).
Three (2, 5, 7) studies disclosed that the RR of subarachnoid hemorrhage was not significantly reduced (RR, 0.99 [95% CI, 0.71–1.39]; P = 0.963). A non-significantly reduced RR was also detected in the <50 mg/day (P = 0.108), ≥50 and <100 mg/day (P = 0.521), ≥100 and <150 mg/day (P = 0.330), and ≥150 mg/day (P = 0.630) increments (Figure S8). TSA suggested conclusive and robust results (Figure S9).
Three (2, 5, 7) studies restricted to intracerebral hemorrhage revealed a non-significantly reduced RR (RR, 0.92 [95% CI, 0.71–1.20]; P = 0.540). The dose-category-specific analyses revealed no significant association for the <50 mg/day (P = 0.108), ≥50 and <100 mg/day (P = 0.974), ≥100 and <150 mg/day (P = 0.767), or ≥150 mg/day (P = 0.461) increments (Figure S10). Additionally, further studies are still required to draw robust conclusions (Figure S11).
Sensitivity and Subgroup Analyses
A sensitivity analysis conducted by omitting one study each time was not conducted because no heterogeneity was found. Only one study (2) on total stroke was adjusted for cereal fiber intake. After potassium intake adjustment, the RR was 0.92 [[95% CI, 0.82–1.02]; P = 0.097; n = 5 (10, 20–22, 24)] and the RR was 0.89 [[95% CI, 0.80–0.99]; P = 0.040; n = 5 (11, 20–22, 24)] after calcium intake adjustment. Overall, magnesium was still shown to have a mild inverse association with total stroke after adjusting for calcium intake.
In the comprehensive stratified analysis, most of the results regarding total stroke and ischemic stroke remained significant across the subgroups. Notably, individuals in North America and Europe received greater benefits than those in Asia. Magnesium intake was also shown to offer advantages to obese participants (mean BMI ≥ 25 kg/m2) (RR, 0.89 [95% CI, 0.82–0.96] for total stroke; 0.88 [95% CI, 0.81–0.96] for ischemic stroke) whose follow-ups were longer (≥12 y) (RR, 0.89 [95% CI, 0.83–0.95] for total stroke; 0.88 [95% CI, 0.81–0.95] for ischemic stroke). Total and dietary magnesium intake were both associated with a significantly reduced risk of total stroke; however, total magnesium intake showed greater effects than dietary intake on ischemic stroke (RR, 0.87 [95% CI, 0.80–0.94]). Likewise, a ≥180 mg/day difference between the highest and the lowest intakes had greater benefits for ischemic stroke (RR, 0.83 [95% CI, 0.76–0.91]) than <180 mg/day. Interestingly, the female-specific RR for total stroke was significantly decreased by magnesium intake (RR, 0.91 [95% CI, 0.83–0.99], Pinteration = 0.031) and decreased relatively for ischemic stroke (RR, 0.89 [95% CI, 0.79–1.00]) compared with male RR. Although CV events (excluding stroke), hypercholesterolemia and diabetes were all risk factors for stroke, magnesium intake could still exhibit a trend of an inverse association with total and ischemic stroke in individuals, even with those risk factors. We did not observe a significantly reduced risk of hemorrhagic stroke in the subgroup analyses. These results are outlined in Table 1.
Table 1. Subgroup analyses relating to magnesium intake and total stroke, ischemic stroke, hemorrhagic stroke.
Both linear and non-linear relationships were found for total stroke and for ischemic stroke (Figure 4). However, no dose-response relationship [non-linear (P = 0.345) or linear (P = 0.737)] was observed for hemorrhagic stroke (Figure 4). There was no evidence for a dose-response relationship between subarachnoid hemorrhage and intracerebral hemorrhage (Figure S12).
Figure 4. Two-stage dose-response effects on the relationships between magnesium intake and total stroke (A); ischemic stroke (B); hemorrhagic stroke (C). The solid line represents non-linear estimates of the association between Magnesium Intake and the risk of expected outcomes; the dashed lines are the 95% confidence intervals (95% CIs); the dotted line represents the linear estimates of the associations between magnesium intake and the risk of expected outcomes. The vertical axis is the relative risk (RR) scale without logarithmic transformation.
Related to a 100 mg/day increase in magnesium intake, for total stroke, the summary RR was 0.98 ([95% CI, 0.97–0.99]); for ischemic stroke, the RR was 0.98 ([95% CI, 0.97–0.99]). Overall, increased magnesium intake had a beneficial effect on these risk reductions.
No evidence of publication bias was observed for total stroke, ischemic stroke (Egger's test: P = 0.937) or hemorrhagic stroke (Egger's test: P = 0.809).
In 2010, the AHA Goals and Metrics Committee issued the 2020 Impact Goals to improve the cardiovascular health of all Americans by 20% while reducing the number of deaths due to cardiovascular disease by 20% (24); a crucial part of these goals is a healthy diet. According to a survey, dietary supplements are an ~$30 billion industry in the US, and some vitamins and nutritional supplements, such as folic acid, vitamin D, ω-3 fatty acids, and ω-3 polyunsaturated fatty acids, have been properly recommended for pregnant women, infants, children, and the elderly (25). The American Food and Nutrition Board's recommended dietary magnesium intake levels are 240 (9–13 y age)-420 mg/day (31–70 y age) for males and 240 (9–13 y age)-360 (14–18 y age), decreasing to 320 mg/day (31–70 y age), for females (26); an unfortunate problem is that people in developed countries seldom obtain adequate magnesium through their diets. As this comprehensive study showed a conclusive inverse association between magnesium intake and total stroke and ischemic stroke, there is a great necessity to correct magnesium intake deficiencies. The significance of magnesium intake (total and dietary) may be mentioned in guidelines for stroke prevention.
The 2015–2016 Dietary Guidelines for Americans suggest that all people follow a healthy eating pattern across the lifespan, and these dietary habits include consuming vegetables, fruits, whole grains, fat-free/low fat dairy, protein-rich foods, and oils (27). The 2014 Guidelines for the Primary Prevention of Stroke pinpointed that the Mediterranean and Dietary Approaches to Stop Hypertension (DASH) diets, which are rich in fruits and vegetables, would reduce stroke risk (3). Reducing the intake of sodium to a level below the current recommendations of 100 mmol per day will lower blood pressure; moreover, the DASH diet and making long-lasting dietary changes will bring individuals more long-term benefits (28). However, due to some confounders, there was no conclusive recommendation for magnesium intake (Table 2).
In this study, we provided evidence for enhancing magnesium intake for stroke primary prevention. To the best of our knowledge, this is the first study to conduct a TSA. The conclusive results on total stroke and ischemic stroke required no further observational trials, thereby saving costs for public health administrations, especially on the present topic. Notably, we still warrant studies on hemorrhagic stroke and other randomized controlled trials (RCTs) on all discussed associations. In short, this topic involves a wide range of medical specialties: cardiology, neurology, neurosurgery, vascular surgery, intensive care, nutriology, and internal medicine. Future instructions may help to decrease the burden of stroke in large at-risk populations.
In terms of previous meta-analyses, based on 7 studies, Larsson et al. (17) found an 8% reduction in total stroke and a 9% reduction in ischemic stroke along with 100 mg/day increases in magnesium. However, the researchers failed to conduct a detailed subgroup analysis that included several confounders, such as dietary assessments and type of magnesium intake. The current study captured conclusive observational evidence and identified a robust inverse association between magnesium intake and total stroke. Compared to the group with the lowest intake of magnesium, Nie et al. (18) demonstrated an RR of 0.89 (95% CI: 0.82–0.97) for total stroke in the group with the highest intake. The essential subtypes of stroke were not available. Nie et al. (18) noted there was no significant inverse association in the male group or the European individuals group, a finding that was contradicted by the findings of our study. New evidence related to the two groups was entered into the present analysis, and the results significantly changed. A Mediterranean diet rich in magnesium is preferred by Western populations, including those in North America and Europe. The risk of coronary heart disease (CHD) was significantly reduced, particularly in males (16) compared to females. The reason females achieved more benefits in preventing total stroke is still unclear. This may be because females consumed more magnesium-rich diets in the primarily included studies, and studies have shown that individual blood pressure (BP) is well-controlled by magnesium in females (4, 7). When the follow-up period was prolonged, participants had a higher chance of turning to doctors for relief. Similar to stroke incidence, there were inverse associations between CHD and dietary magnesium or potassium intake. Previous cohort studies also illustrated that the intake of magnesium and calcium might lower CVD mortality (26), but the clear effects of magnesium and calcium on CVD requires further consideration. Fang et al. (19) investigated dietary magnesium intake in relation to type 2 diabetes and CVD risk and showed that stroke risk was reduced (RR, 0.88; 95% CI: 0.82–0.95) in a dose-dependent manner. The study only included dietary magnesium intake of the participants and ignored the subtypes of total stroke. From our perspective, current CVD status (excluding stroke) is a crucial confounder of the validated relationship and should have been addressed in the stratified analyses of the researchers. In the dose-response portion, when the highest or the lowest category was open-ended, Fang et al. (19) estimated the range of the category as the adjacent interval, which resulted in a summarized RR of 0.93 (95% CI: 0.89–0.87) per 100 mg/day increment. Current and previous meta-analyses did not support a beneficial role of magnesium in hemorrhagic stroke; however, patients with high serum magnesium levels might have fewer admission hematomas and better intracerebral hemorrhage prognoses (29).
The current study had several limitations. First, we did not ascertain the efficacy of magnesium supplements on stroke. Clinical trials on supplements have not demonstrated clear benefits for primary and secondary prevention of chronic diseases not related to nutrition deficiency, although they are highly taken by adults to maintain health (30). Second, the included NHS cohort and HPFS cohort have certain overlaps. Cohorts with varying follow-up periods with assessments from various investigators or at different time nodes may convey different characteristics of participants and results. We have shown that individuals with longer follow-ups (≥12 y) show larger benefits in the subgroup analyses. Third, most primary studies used FFQs/validated FFQs, which could not characterize all the nutrients and therefore did not clarify plausible associations. Fourth, observational evidence might only reach a conclusion but could not prove causality.
Researchers need to consider the impact of non-ignorable confounders in future guidelines or studies. Magnesium intake is associated with higher intakes of other potentially protective nutrients (e.g., potassium, folate, vitamin C), dietary fiber, and antioxidants. In addition, it may also be associated with other potential lifestyle factors (smoking) and other risk factors for stroke (hypertension). Thus, confounding cannot be excluded as a potential explanation for the observed inverse association of interest, and therefore, randomized controlled trials and other types of studies are needed to confirm the observational findings.
Our definitive study with TSA showed magnesium intake has inverse association with total and ischemic stroke in a dose-response pattern. Additionally, it may also have a mild but not significant inverse association with hemorrhage stroke, subarachnoid hemorrhage and intracerebral hemorrhage. Magnesium consumption, herein, may be recommended as an optimization for stroke prevention or management. Most importantly, the cost-effective alternative debated by physicians, policy makers and legislators has a possibility to not only improve population-wide cardiovascular health but also guide policy decisions and initiate reform in global dietary healthcare. As for other chronic disease, whether such crucial population-based diet strategy may reduce public health and economic burden to an unprecedentedly low degree needs further exploration.
No datasets were generated or analyzed for this study.
BZ had full access to all of the data in the manuscript and takes responsibility for the integrity of the data and the accuracy of the data analysis. BZ and WZ: drafting of the manuscript. BZ, WZ, YD, JinX, LH, DY, and JiaX: critical revision of the manuscript for important intellectual content. BZ: statistical analysis. WZ, JiaX, and YW: supervision. All authors: concept and design, acquisition, analysis, or interpretation of data.
This study was supported by National Natural Science Foundation of China (NSFC), with no commercial entity involved, number of grants (81560345). The NSFC 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.
Conflict of Interest Statement
The authors have completed and submitted the ICMJE Form for Disclosure of Potential Conflicts of Interest.
The authors thank Prof. Wenbin Ma, MD, Ph.D. (Departments of Neurosurgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College) for his advice.
The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fneur.2019.00852/full#supplementary-material
Figure S1. Flow chart of the literature search and screening process.
Figure S2. Trial Sequential Analysis (TSA) of total stroke with the included studies indicated.
Figure S3. Forest Plots of the Risk of Ischemic Stroke for Magnesium Intake (A) and for <50 mg/day (B), ≥50 and <100 mg/day (C), ≥100 and <150 mg/day (D), and ≥150 mg/day magnesium increments (E).
Figure S4. Trial Sequential Analysis (TSA) for ischemic stroke with included studies indicated.
Figure S5. Forest plots of the risk of hemorrhagic stroke for magnesium intake (A) and for <50 mg/day (B), ≥50 and <100 mg/day (C), ≥100 and <150 mg/day (D), and ≥150 mg/day magnesium increments (E).
Figure S6. Trial sequential analysis of hemorrhagic stroke comparing the highest magnesium intake category to the lowest.
Figure S7. Trial Sequential Analysis (TSA) for hemorrhagic stroke with the included studies indicated.
Figure S8. Forest plots of the risk of subarachnoid hemorrhage for magnesium intake (A) and for <50 mg/day (B), ≥50 and <100 mg/day (C), ≥100 and <150 mg/day (D) and ≥150 mg/day magnesium ranges (E).
Figure S9. Trial Sequential Analysis (TSA) of subarachnoid hemorrhage (A), and the TSA of subarachnoid hemorrhage with the included studies indicated (B).
Figure S10. Forest plots of the risk of intracerebral hemorrhage for magnesium intake (A) and for <50 mg/day (B), ≥50 and <100 mg/day (C), ≥100 and <150 mg/day (D), and ≥150 mg/day magnesium ranges (E).
Figure S11. Trial Sequential Analysis (TSA) of intracerebral hemorrhage (A), and the TSA of intracerebral hemorrhage with the included studies indicated (B).
Figure S12. Two-stage dose-response effects on the relationships between magnesium intake and subarachnoid hemorrhage (A) and intracerebral hemorrhage (B).
Table S1. PRISMA 2009 checklist.
Table S2. Characteristics of included eligible studies.
Table S3. Methodological quality assessments of the studies included with the newcastle-ottawa scales.
RR, Relative risk; CI, Confidence intervals; BMI, Body mass index; PRISMA, Preferred Reporting Items for Systematic Reviews and Meta-Analyses; NOS, Newcastle-Ottawa Scale; CV, Cardiovascular; RCTs, Randomized controlled trials; DALYs, Disability-adjusted life-years; ASA, American Stroke Association; CHD, Coronary heart disease; BP, Blood pressure.
1. Ohira T, Peacock JM, Iso H, Chambless LE, Rosamond WD, Folsom AR. Serum and dietary magnesium and risk of ischemic stroke: the atherosclerosis risk in communities study. Am J Epidemiol. (2009) 169:1437–44. doi: 10.1093/aje/kwp071
3. Meschia JF, Bushnell C, Boden-Albala B, Braun LT, Bravata DM, Chaturvedi S, et al. Guidelines for the primary prevention of stroke: a statement for healthcare professionals from the American heart association/American stroke association. Stroke. (2014) 45:3754–832. doi: 10.1161/STR.0000000000000046
4. Ascherio A, Rimm EB, Hernan MA, Giovannucci EL, Kawachi I, Stampfer MJ, et al. Intake of potassium, magnesium, calcium, and fiber and risk of stroke among US men. Circulation. (1998) 98:1198–204. doi: 10.1161/01.CIR.98.12.1198
5. Iso H, Stampfer MJ, Manson JE, Rexrode K, Hennekens CH, Colditz GA, et al. Prospective study of calcium, potassium, and magnesium intake and risk of stroke in women. Stroke. (1999) 30:1772–9. doi: 10.1161/01.STR.30.9.1772
6. Song Y, Manson JE, Cook NR, Albert CM, Buring JE, Liu S. Dietary magnesium intake and risk of cardiovascular disease among women. Am J Cardiol. (2005) 96:1135–41. doi: 10.1016/j.amjcard.2005.06.045
7. Larsson SC, Virtanen MJ, Mars M, Männistö S, Pietinen P, Albanes D, et al. Magnesium, calcium, potassium, and sodium intakes and risk of stroke in male smokers. Arch Intern Med. (2008) 168:459–65. doi: 10.1001/archinte.168.5.459
8. Weng LC, Yeh WT, Bai CH, Chen HJ, Chuang SY, Chang HY, et al. Is ischemic stroke risk related to folate status or other nutrients correlated with folate intake? Stroke. (2008) 39:3152–8. doi: 10.1161/STROKEAHA.108.524934
9. Zhang W, Iso H, Ohira T, Date C, Tamakoshi A. Associations of dietary magnesium intake with mortality from cardiovascular disease: the JACC study. Atherosclerosis. (2012) 221:587–95. doi: 10.1016/j.atherosclerosis.2012.01.034
10. Lin PH, Yeh WT, Svetkey LP, Chuang SY, Chang YC, Wang C, et al. Dietary intakes consistent with the DASH dietary pattern reduce blood pressure increase with age and risk for stroke in a Chinese population. Asia Pac J Clin Nutr. (2013) 22:482–91. doi: 10.6133/apjcn.2013.22.3.05
12. Sluijs I, Czernichow S, Beulens JW, Boer JM, van der Schouw YT, Verschuren WM, et al. Intakes of potassium, magnesium, and calcium and risk of stroke. Stroke. (2014) 45:1148–50. doi: 10.1161/STROKEAHA.113.004032
13. Adebamowo SN, Spiegelman D, Flint AJ, Willett WC, Rexrode KM. Intakes of magnesium, potassium, and calcium and the risk of stroke among men. Int J Stroke. (2015) 10:1093–100. doi: 10.1111/ijs.12516
14. Adebamowo SN, Spiegelman D, Willett WC, Rexrode KM. Association between intakes of magnesium, potassium, and calcium and risk of stroke: 2 cohorts of US women and updated meta-analyses. Am J Clin Nutr. (2015) 101:1269–77. doi: 10.3945/ajcn.114.100354
15. Bain LK, Myint PK, Jennings A, Lentjes MA, Luben RN, Khaw KT, et al. The relationship between dietary magnesium intake, stroke and its major risk factors, blood pressure and cholesterol, in the EPIC-Norfolk cohort. Int J Cardiol. (2015) 196:108–14. doi: 10.1016/j.ijcard.2015.05.166
16. Kokubo Y, Saito I, Iso H, Yamagishi K, Yatsuya H, Ishihara J, et al. Dietary magnesium intake and risk of incident coronary heart disease in men: a prospective cohort study. Clin Nutr. (2018) 37:1602–8. doi: 10.1016/j.clnu.2017.08.006
18. Nie ZL, Wang ZM, Zhou B, Tang ZP, Wang SK. Magnesium intake and incidence of stroke: meta-analysis of cohort studies. Nutr Metab Cardiovasc Dis. (2013) 23:169–76. doi: 10.1016/j.numecd.2012.04.015
19. Fang X, Han H, Li M, Liang C, Fan Z, Aaseth J, et al. Dose-response relationship between dietary magnesium intake and risk of type 2 diabetes mellitus: a systematic review and meta-regression Analysis of prospective cohort studies. Nutrients. (2016) 8:E739. doi: 10.3390/nu8110739
20. Rannikmae K, Woodfield R, Anderson CS, Charidimou A, Chiewvit P, Greenberg SM, et al. Reliability of intracerebral hemorrhage classification systems: a systematic review. Int J Stroke. (2016) 11:626–36. doi: 10.1177/1747493016641962
21. Wells GA, Shea BJ, O'Connell D, Peterson J, Welch V, Losos M, et al. The Newcastle–Ottawa Scale (NOS) for assessing the quality of non-randomised studies in meta-analysis. Appl Eng Agric. (2014) 18:727–34. Available online at: http://www.ohri.ca/programs/clinical_epidemiology/oxford.htm
22. Brok J, Thorlund K, Wetterslev J, Gluud C. Apparently conclusive meta-analyses may be inconclusive–Trial sequential analysis adjustment of random error risk due to repetitive testing of accumulating data in apparently conclusive neonatal meta-analyses. Int J Epidemiol. (2009) 38:287–98. doi: 10.1093/ije/dyn188
24. Lloyd-Jones DM, Hong Y, Labarthe D, Mozaffarian D, Appel LJ, Van Horn L, et al. Defining and setting National goals for cardiovascular health promotion and disease reduction. The American heart association's strategic impact goal through 2020 and beyond. Circulation. (2010) 121:586–613. doi: 10.1161/CIRCULATIONAHA.109.192703
26. Aspry KE, Van Horn L, Carson JAS, Wylie-Rosett J, Kushner RF, Lichtenstein AH, et al. Medical nutrition education, training, and competencies to advance guideline-based diet counseling by physicians: a science advisory from the American heart association. Circulation. (2018) 137:e821–41. doi: 10.1161/CIR.0000000000000563
27. US Department of Health and Human Services and US Department of Agriculture. 2015–2020 Dietary Guidelines for Americans. 8th ed. (2015). Available online at: https://health.gov/dietaryguidelines/2015/guidelines/
28. Sacks FM, Svetkey LP, Vollmer WM, Appel LJ, Bray GA, Harsha D, et al. Effects on blood pressure of reduced dietary sodium and the dietary approaches to stop hypertension (DASH) diet. DASH-sodium collaborative research group. N Engl J Med. (2001) 344:3–10. doi: 10.1056/NEJM200101043440101
29. Goyal N, Tsivgoulis G, Malhotra K, Houck AL, Khorchid YM, Pandhi A, et al. Serum magnesium levels and outcomes in patients with acute spontaneous intracerebral hemorrhage. J Am Heart Assoc. (2018) 7:e008698. doi: 10.1161/JAHA.118.008698
30. Jayedi A, Ghomashi F, Zargar MS, Shab-Bidar S. Dietary sodium, sodium-to-potassium ratio, and risk of stroke: a systematic review and non-linear dose-response meta-analysis. Clin Nutr. (2018) 38:1092–100. doi: 10.1016/j.clnu.2018.05.017
Keywords: magnesium, stroke, meta-analysis, trial sequential analysis, systematic review
Citation: Zhao B, Hu L, Dong Y, Xu J, Wei Y, Yu D, Xu J and Zhang W (2019) The Effect of Magnesium Intake on Stroke Incidence: A Systematic Review and Meta-Analysis With Trial Sequential Analysis. Front. Neurol. 10:852. doi: 10.3389/fneur.2019.00852
Received: 22 March 2019; Accepted: 23 July 2019;
Published: 07 August 2019.
Edited by:Linxin Li, University of Oxford, United Kingdom
Reviewed by:Lu Ma, West China Hospital, Sichuan University, China
Sami Curtze, University of Helsinki, Finland
Copyright © 2019 Zhao, Hu, Dong, Xu, Wei, Yu, Xu and Zhang. 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: Wenxiong Zhang, firstname.lastname@example.org