| Literature DB >> 36061895 |
Vali Musazadeh1,2, Zeynab Kavyani1,2, Behnaz Naghshbandi3, Parvin Dehghan4, Mahdi Vajdi5,6.
Abstract
Several meta-analyses have revealed that n-3 PUFAs can lower blood pressure, but the findings are conflicting. In this regard, the present umbrella meta-analysis aimed was performed to clarify whether n-3 PUFAs have effects on blood pressure. PubMed, Scopus, Embase, Web of Science, and Google Scholar were used as international databases from inception to May 2022. To examine the effects of n-3 PUFA supplementation on blood pressure, a random-effects model was applied. The leave-one-out method was performed for the sensitivity analysis. The pooled estimate of 10 meta-analyses with 20 effect sizes revealed significant reductions in both systolic (ES = -1.19 mmHg; 95% CI: -1.76, -0.62, p < 0.001) and diastolic blood pressure (ES = -0.91 mmHg, 95% CI: -1.35, -0.47; p < 0.001) following n-3 PUFAs supplementation. In studies with a sample size of ≤ 400 participants and a mean age over 45, SBP and DBP were found to be substantially reduced. Overall, this umbrella meta-analysis indicates that n-3 PUFAs supplementation might play a role in improving DBP and SBP.Entities:
Keywords: blood pressure; n-3 PUFAs; omega-3 fatty acid; systematic review; umbrella of meta-analysis
Year: 2022 PMID: 36061895 PMCID: PMC9435313 DOI: 10.3389/fnut.2022.985451
Source DB: PubMed Journal: Front Nutr ISSN: 2296-861X
FIGURE 1Flow diagram of study selection.
Study characteristics of included studies.
| References | No. of studies in meta-analysis | Location | No. of participants in meta-analysis | Age (year) | Health | Dose (mg) | Dose (mg) | Dose (mg) | Quality assessment scale and outcome |
| Zhang et al. ( | 13 | China | 1023 | 53.5 | MetS | 2314 | 2100 | – | Yes (Jadad) |
| Lim et al. ( | 3 | Australia | 206 | NR | Kidney Transplant Recipients | 13500 | – | 6000 | Yes (Cochrane) |
| Campbell et al. ( | 17 | UK | 475 | 52 | HTN | 2,315 | 1,100 | 3,457 | Yes (Cochrane) |
| Chewcharat et al. ( | 11 | Thailand | 376 | 53 | DN | – | – | 2,250 | Yes (Cochrane) |
| O’Mahoney et al. ( | 13 | UK | 681 | NR | T2DM | 1,526 | 1,568 | – | Yes (Cochrane) |
| Radack and Deck ( | 4 | USA | 148 | 34 | Hypertension/Normotensive | – | – | 5,725 | Yes (Cochrane) |
| Guo et al. ( | 20 | China | 776 | 55 | Dyslipidemia, T2DM, healthy | 2,550 | 2,333 | – | Yes (Jadad) |
| Appel et al. ( | 17 | Canada | 1,039 | 39 | Hypertension/normotensive | 2,916 | 2,073 | 5,177 | Yes (Cochrane) |
| Morris et al. ( | 31 | United States | 1,458 | 46 | Hypercholesterolemia, healthy, CVD, HTN, T2DM, | – | – | 4,524 | No |
| Musa-Veloso et al. ( | 3 | Canada | 189 | 43 | NAFLD | 1,216 | 1,425 | – | Yes (Jadad) |
NR, Not reported; T2DM, type 2 diabetes mellitus; DN, Diabetic Nephropathy; CVD, Cardiovascular disease; HTN, Hypertension; NAFLD, Non-Alcoholic Fatty Liver; MetS, metabolic syndrome.
Assessments of the methodological quality of included studies using the AMSTAR2 checklist.
| Study | Q1 | Q2 | Q3 | Q4 | Q5 | Q6 | Q7 | Q8 | Q9 | Q10 | Q11 | Q12 | Q13 | Q14 | Q15 | Q16 | Quality assessment |
| O’Mahoney et al. ( | No | Yes | Yes | Partial Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | High |
| Chewcharat et al. ( | No | Partial Yes | Yes | Yes | Yes | Yes | Partial Yes | Yes | Yes | No | Yes | Yes | Yes | Yes | No | No | Moderate |
| Zhang et al. ( | No | Partial Yes | Yes | Yes | Yes | Yes | Partial Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | High |
| Lim et al. ( | No | Partial Yes | Yes | Partial Yes | No | Yes | No | Yes | No | No | Yes | Yes | Yes | No | No | No | Low |
| Guo et al. ( | No | Yes | Yes | Partial Yes | Yes | Yes | No | Partial Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | High |
| Musa-Veloso et al. ( | Yes | Yes | Yes | Partial Yes | Yes | Yes | Yes | Partial Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | High |
| Campbell et al. ( | No | Partial Yes | Yes | Partial Yes | Yes | Yes | Yes | Yes | Yes | No | Yes | Yes | Yes | No | No | Yes | Moderate |
| Radack and Deck ( | No | Partial Yes | No | Partial Yes | Yes | Yes | No | Yes | Yes | No | Yes | Yes | No | No | No | No | Low |
| Appel et al. ( | No | Partial Yes | Yes | Partial Yes | No | Yes | No | Partial Yes | Yes | No | Yes | No | No | No | No | No | Critically low |
| Morris et al. ( | No | Yes | No | Partial Yes | No | Yes | No | Partial Yes | Yes | No | Yes | No | No | No | No | No | Critically low |
*1. Did the research questions and inclusion criteria for the review include the components of PICO? 2. Did the report of the review contain an explicit statement that the review methods were established prior to the conduct of the review and did the report justify any significant deviations from the protocol? 3. Did the review authors explain their selection of the study designs for inclusion in the review? 4. Did the review authors use a comprehensive literature search strategy? 5. Did the review authors perform study selection in duplicate? 6. Did the review authors perform data extraction in duplicate? 7. Did the review authors provide a list of excluded studies and justify the exclusions? 8. Did the review authors describe the included studies in adequate detail? 9. Did the review authors use a satisfactory technique for assessing the risk of bias (RoB) in individual studies that were included in the review? 10. Did the review authors report on the sources of funding for the studies included in the review? 11. If meta-analysis was performed, did the review authors use appropriate methods for statistical combination of results? 12. If meta-analysis was performed, did the review authors assess the potential impact of RoB in individual studies on the results of the meta-analysis or other evidence synthesis? 13. Did the review authors account for RoB in individual studies when interpreting/discussing the results of the review? 14. Did the review authors provide a satisfactory explanation for, and discussion of, any heterogeneity observed in the results of the review? 15. If they performed quantitative synthesis, did the review authors carry out an adequate investigation of publication bias (small study bias) and discuss its likely impact on the results of the review? 16. Did the review authors report any potential sources of conflict of interest, including any funding they received for conducting the review?
Each question was answered with “Yes”, “Partial Yes” or “No”. When no meta-analysis was done, question 11,12 and 15 were answered with “No” meta-analysis conducted.
FIGURE 2Mean difference and 95% CIs presented in forest plots of the studies on the effects of n-3 PUFA supplementation on DBP (A), and SBP (B) levels (a, b, c, d, etc. indicates a separate effect size for different diseases in each study).
Subgroup analyses for the effects of omega-3 fatty acids supplementation on blood pressure.
| Effect size, | ES (95% CI) | ||||
| | |||||
| Overall | 20 | −0.91 (−1.53,−0.47) | <0.001 | 70.8 | <0.001 |
|
| |||||
| ≤45 | 7 | −0.36 (-0.61,−0.11) | 0.005 | 0.0 | 0.873 |
| >45 | 11 | -1.43 (-2.33,−0.53) |
| 55.8 | 0.012 |
| NR | 2 | −1.88 (-6.14, 2.39) | 0.389 | 87.2 | 0.005 |
| | |||||
| ≤10 | 12 | −0.81 (-1.34,−0.27) | 0.003 | 50.6 | 0.022 |
| 10–15 | 2 | −2.42 (-4.41,−0.44) | 0.017 | 79.6 | 0.027 |
| >15 | 6 | 0.03 (-0.09, 0.15) | 0.641 | 0.0 | 0.616 |
| | |||||
| ≤400 | 13 | −1.55 (-2.52,−0.57) | 0.002 | 63.3 | <0.001 |
| >400 | 7 | −0.60 (-1.18,−0.01) | 0.047 | 73.7 | <0.001 |
|
| |||||
| T2DM | 3 | −0.04 (-0.09, 0.16) | 0.345 | 0.0 | 0.721 |
| HTN | 4 | −1.70 (−3.12, −0.27) | 0.020 | 89.1 | 0.040 |
| DN | 2 | −0.22 (−3.08, 3.52) | 0.895 | 0.0 | 0.784 |
| NAFLD | 1 | −0.98 (−3.38, 1.42) | 0.555 | – | – |
| Kidney transplant recipients | 1 | −4.35 (−7.42, −1.27) | 0.030 | 96.5 | <0.001 |
| Metabolic disorders | 4 | −0.55 (−1.69, 0.59) | 0.012 | 38.4 | 0.182 |
| Healthy | 3 | −0.56 (−1.08, −0.05) | 0.424 | 0.0 | 0.881 |
| Dyslipidemia | 2 | −2.52 (−4.48, −0.56) | 0.006 | 0.0 | 0.583 |
| | |||||
| ≤2,000 | 4 | −0.02 (−0.10, 0.14) | 0.736 | 0.0 | 0.397 |
| >2,000 | 7 | −1.95 (−3.95, −0.86) | <0.001 | 45.6 | 0.088 |
| | |||||
| ≤1,700 | 6 | −0.44 (−1.04, 0.16) | 0.149 | 52.4 | 0.062 |
| >1,700 | 4 | −1.61 (−4.18, 0.96) | 0.219 | 83.6 | <0.001 |
| | |||||
| ≤4,500 | 5 | −0.80 (−1.25, −0.35) | <0.001 | 0.0 | 0.645 |
| >4,500 | 5 | −2.34 (−4.13, −0.56) | 0.010 | 87.6 | <0.001 |
| | |||||
| Overall | 20 | −1.19 (−1.76, −0.62) | <0.001 | 72.1 | <0.001 |
| | |||||
| ≤45 | 8 | −1.05 (−1.92, −0.18) | 0.018 | 61.9 | 0.010 |
| >45 | 10 | − | 0.002 | 59.1 | 0.009 |
| NR | 2 | 0.00 (−0.14, 0.15) | 0.992 | 0.0 | 0.567 |
| | |||||
| ≤10 | 12 | −1.16 (−2.09, −0.24) | 0.013 | 62.9 | 0.002 |
| 10–15 | 3 | −2.48 (−5.64, 0.68) | 0.106 | 91.5 | <0.001 |
| >15 | 5 | − | 0.116 | 0.0 | 0.512 |
| | |||||
| ≤400 | 11 | − | 0.011 | 72.2 | <0.001 |
| >400 | 9 | −1.01 (−1.86, −0.15) | 0.021 | 70.3 | <0.001 |
| | |||||
| MetS | 4 | −1.87 (−5.21, 1.48) | 0.275 | 80.1 | 0.002 |
| T2DM | 3 | −0 (−0.15, 0.14) | 0.975 | 0 | 0.543 |
| HTN | 4 | − | 0.037 | 88.9 | <0.001 |
| DN | 2 | −1.92 (−4.60, 0.76) | 0.160 | 0 | 0.708 |
| Dyslipidemia | 2 | −3.88 (−6.40, −1.36) | 0.003 | 0 | 0.918 |
| Healthy | 3 | −0.78 (−1.51, −0.06) | 0.035 | 0 | 0.737 |
| Kidney transplant recipients | 1 | 2.45 (−5.93, 10.83) | 0.567 | − | − |
| NAFLD | 1 | −0.09 (−3.02, 2.85) | 0.953 | – | – |
| | |||||
| ≤2,000 | 4 | −0.23 (−0.78, 0.32) | 0.414 | 22.4 | 0.276 |
| >2,000 | 7 | − | <0.001 | 15.4 | 0.312 |
| | |||||
| ≤1,700 | 5 | −0.74 (−1.72, 0.25) | 0.143 | 60.7 | 0.038 |
| >1,700 | 5 | −2.08 (−4.66, 0.50) | 0.114 | 78.1 | <0.001 |
| | |||||
| ≤4,500 | 5 | −1.85 (−3.22, −0.47) | 0.009 | 66.3 | 0.018 |
| >4,500 | 5 | −2.55 (−5.65, 0.54) | 0.106 | 83.1 | <0.001 |
ES, Effect size; CI, confidence interval; NR, Not reported; T2DM, type 2 diabetes mellitus; DN, Diabetic Nephropathy; CVD, Cardiovascular disease; HTN, Hypertension; NAFLD, Non-Alcoholic Fatty Liver; MetS, metabolic syndrome.
aObtained from the Random-effects model.
bRefers to the mean (95% CI).
cInconsistency, percentage of variation across studies due to heterogeneity.
dObtained from the Q-test.
FIGURE 3Mean difference and 95% CIs presented in funnel plots; and publication bias of the studies the effects of n-3 PUFA supplementation on DBP (A), and SBP (B) levels.