Introduction
Cardiovascular diseases (CVDs) create huge morbidity and mortality risks worldwide. They place a significant economic burden on the healthcare system (Vaduganathan et al. 2022). About 31% of deaths worldwide are ascribed to CVDs (Ruiz-Moreno et al. 2020). Poor health behaviors and several illnesses, including dyslipidemia, hyperglycemia, hypertension, and inflammatory disorders, can raise the mortality rate from CVD linked to acute myocardial infarction and stroke (Hasanloei et al. 2020; Hashemi et al. 2020; Kopin and Lowenstein 2017; Noormohammadi et al. 2022). Since poor diet and lifestyle choices are a major contributing factor to CVDs, the main method for delaying the beginning of CVDs and their risk factors is to improve dietary habits and make them more widely available (Asbaghi, Fouladvand, et al. 2021; Asbaghi, Naeini, et al. 2021; Naseri et al. 2022). Given the advantages of nutrition in the development of CVD, alternative treatments like natural-based products can help alleviate some CVD risk factors, such as hypertension, diabetes, and hypercholesterolemia (Mahmoud et al. 2019; Mas-Capdevila et al. 2020) According to the current Dietary Guidelines for Americans, adults over the age of 18 should consume 20%–35% of their calories from fat. The recommendation encourages consuming PUFAs and/or MUFAs and fewer than 7% of calories from SFAs in order to lower blood cholesterol levels and the risk of cardiovascular disease (US Department of Agriculture and US Department of Health and Human Services 2010). Both guidelines recommend consuming fewer SFAs and substituting them with PUFAs and/or MUFAs (US Department of Agriculture and US Department of Health and Human Services 2010).
The avocado, scientifically named
Moreover, some studies have revealed that individuals consuming at least two servings of avocado per week exhibit a 16% lower risk of CVD and a 21% lower risk of coronary heart disease compared to non-consumers. Specifically, those increasing their intake by half a serving per day had a pooled hazard ratio for CVD of 0.80, indicating a protective effect against heart disease (Pacheco et al. 2022). Besides, avocado consumption is important as a possible mechanism involved in protecting CVDs (Dreher and Davenport 2013; Liu et al. 2002). A thorough meta-analysis of clinical trials (CTs) is necessary because the overall effect of avocado supplementation on cardiovascular disease is not entirely recognized. In order to ascertain the impact of avocado intake on cardiovascular risk factors, we set out to perform a systematic review and meta-analysis.
Methods
Study Design and Protocol
The Preferred Reporting Items of Systematic Reviews and Meta-Analysis (PRISMA) statement standards were followed in the conduct of this study (Page et al. 2021).
Search Strategy
A comprehensive search was conducted in PubMed, Scopus, ISI Web of Science, and Cochrane Library, and a manual search of the bibliographies of the Persian and English articles retrieved until May 2025. The search for text words and controlled vocabulary phrases was conducted using medical subject headings (MeSH). The merger of MeSH and non-MESH terms was as follows: (“Avocado” OR “Persea” OR “
Inclusion Criteria
Studies with the following conditions were included in this meta-analysis: (a) RCTs and (b) performed on adults (≥ 18 year). All studies that examined the effects of avocado supplementation on body weight, BMI, SBP, DBP, blood levels of FBG, HbA1c, TG, fasting insulin, LDL, CRP, TC, and HDL in the avocado group relative to the placebo group were included in the current systematic review and meta-analysis.
Excluded Criteria
At most one of the following traits applied to excluded studies: Research that (a) lacked randomized controlled trials (RCTs), (b) looked at avocado's effects in combination with other interventions, (c) provided insufficient details for the key outcomes, (d) had follow-ups less than a week, (e) animal studies, (f) case reports, (g) conference abstracts, and (h) articles with unclear data descriptions.
Quality Assessment
The 5-item Cochrane risk of bias 2 (RoB 2) method was used by two reviewers (S.H) to assess the trial's quality (Sterne et al. 2019). ROB2 items include: (1) randomization process; (2) deviations from the intended interventions; (3) missing outcome data; (4) measurement of the outcome; and (5) selection of the reported result.
Data Extraction
Two authors independently (S.H. and Z.S.) assessed the quality of each included study using the Cochrane risk of bias tool in Review Manager. The study's design, duration, location, sample size, first author, year of publication, and dosage of the avocado supplement are among its specifics. Initial and final measures of certain outcomes mean differences in outcome changes between the study's initial and final measurements, as well as participant demographics, such as gender, average age, BMI, and comorbidities. The main outcomes were body weight, BMI, SBP, DBP, and blood levels of TG, fasting insulin, HbA1c, LDL, CRP, FBG, TC, and HDL. Additionally, two scholars resolved disagreements and discrepancies through communication and consultation with a third author (O.A.).
Statistical Analysis
This meta-analysis was conducted using Stata software (version 17). To assess the effect of avocado, weighted mean differences (WMDs) and 95% CIs were calculated to measure the absolute changes in outcomes between the avocado and placebo groups from the trial baseline to endpoints. The results were quantified using the mean ± standard deviation (SD) measurement, and the magnitude of the effect was calculated by computing the mean difference. The formula square root ([SD2 baseline + SD2 final] − [2 × R × SDbaseline × SDfinal]) was used to determine the SD change from the trial's baseline to its conclusion (Borenstein et al. 2021). Furthermore, a random-effects model was used to compute the pooled WMDs (DerSimonian and Laird 1986). The between-study heterogeneity was assessed using the I2 statistic (Borenstein et al. 2010), which showed moderate, low, and high degrees of heterogeneity.
The analysis considered baseline values of HDL, TC, FBG, TG, LDL, SBP, BMI, WC, and CRP serum levels; avocado dosage (≥ 300 mg/day vs. < 300 mg/day); baseline BMI (obese [≥ 30 kg/m2] vs. normal [18.5–24.9 kg/m2]; trial duration [< 6 weeks vs. ≥ 6 weeks]; and health status [CVD vs. none CVD]). A leave-one-out sensitivity analysis was used to assess the influence of particular research on the findings. A p-value of less than 0.05 was established as the threshold for statistical significance. Additionally, funnel plots and the Egger's (Egger et al. 1997) and Begg's (Begg and Berlin 1988) tests were used to look for any publication bias. The fractional polynomial model was also used to analyze the potential non-linear effects of the trial's duration (weeks) and avocado dosage (mg/day). To assess the link between dose and response and potential linear effects (Mitchell 2012).
Result
Study Selection
The study selection process began with the identification of 1158 records from databases, including PubMed (n = 187), Scopus (n = 579), and ISI Web of Science (n = 392). After removing 452 duplicate records, 706 records were initially screened based on titles and abstracts. A total of 670 records were excluded due to being review studies, non-human studies, or having irrelevant titles and abstracts. Following this, 36 full-text articles were assessed for eligibility, and 17 studies that did not meet the inclusion criteria were excluded. Ultimately, nine (Hernández Salazar et al. 2022; Lichtenstein et al. 2022; Martínez-Abundis et al. 2013; Matthan et al. 2024; Pieterse et al. 2005; Scott et al. 2017; Souza Fernandes Azevedo et al. 2023; Zhang et al. 2022; Zhao et al. 2023) RCTs were included in the systematic review and meta-analysis (Figure 1).
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Study Characteristics
The characteristics of the included RCTs are summarized in Table 1. This meta-analysis incorporates data from 10 RCTs with a total of 2354 participants (1181 cases and 1173 controls), published between 2005 and 2024. All of the studies followed a randomized parallel design (Hernández Salazar et al. 2022; Lichtenstein et al. 2022; Martínez-Abundis et al. 2013; Matthan et al. 2024; Pieterse et al. 2005; Scott et al. 2017; Souza Fernandes Azevedo et al. 2023; Zhang et al. 2022; Zhao et al. 2023). Sample sizes ranged from 13 to 1008 participants, with trial durations spanning 4–24 weeks. Participants' average ages ranged from 32 to 63 years. The trials were conducted in the USA (Lichtenstein et al. 2022; Matthan et al. 2024; Scott et al. 2017; Zhang et al. 2022), Australia (Zhao et al. 2023), Mexico (Martínez-Abundis et al. 2013), Brazil (Souza Fernandes Azevedo et al. 2023), and South Africa (Pieterse et al. 2005), and metabolic syndrome (Souza Fernandes Azevedo et al. 2023), overweight and obese (Lichtenstein et al. 2022; Martínez-Abundis et al. 2013; Matthan et al. 2024; Pieterse et al. 2005; Zhao et al. 2023), and healthy individuals (Hernández Salazar et al. 2022). Nine studies involving both sexes (Hernández Salazar et al. 2022; Lichtenstein et al. 2022; Matthan et al. 2024; Pieterse et al. 2005; Scott et al. 2017; Souza Fernandes Azevedo et al. 2023; Zhang et al. 2022; Zhao et al. 2023), and one involving women was conducted (Martínez-Abundis et al. 2013). The avocado supplements consumed daily ranged from 25 to 300 g.
TABLE 1 Basic characteristics of the included studies.
Studies | Country | Study design | Participant | Sample size and gender | Sample size | Trial duration (weeks) | Means age | Means BMI | Intervention | ||||
IG | CG | IG | CG | IG | CG | Avocado dose (mg/day) | Control group | ||||||
Pieterse et al. (2005) | South Africa | R, PC, SB (parallel) | Obesity | 61 (F: 13, M: 47) | 31 | 30 | 6 | 40.8 ± 8.94 | 40.8 ± 8.94 | 31.9 ± 3.9 | 31.9 ± 3.9 | 2000 | Placebo |
Martínez-Abundis et al. (2013) | Mexico | R, PC, DB (parallel) | Obesity | 14 (F: 14) | 7 | 7 | 12 | 35.4 ± 4.3 | 35.4 ± 3.8 |
35.6 ± 2.8 |
34.5 ± 3.5 | 300 | Placebo |
Scott et al. (2017) | USA | R, PC (parallel) | Healthy | 40 (F: 25, M: 15) | 20 | 20 | 24 |
63.3 ± 11.1 |
62.5 ± 9.2 |
24.1 ± 3.1 |
24.2 ± 2.4 | 135,000 | Placebo |
Hernández Salazar et al. (2022) | Mexico | R, PC (parallel) | Healthy | 13 (F: 8, M: 5) | 6 | 7 | 4 | 32 ± 11.2 | 32 ± 5.4 | 22.3 ± 2.3 | 21.2 ± 2.2 | 25,000 | Placebo |
Lichtenstein et al. (2022) | USA | R, PC (parallel) | Obesity | 1008 (F: 730, M: 278) | 505 | 503 | 24 | 50.1 ± 14.3 | 50.4 ± 13.8 | 32.9 ± 5.3 | 33.2 ± 5.6 | NR | Placebo |
Zhang et al. (2022) | USA | R, PC (parallel) | Overweight and obese | 93 (F: 54, M: 39) | 49 | 44 | 12 | 40.6 ± 11.8 | 42.7 ± 12.5 | 32.3 ± 3.90 | 32.8 ± 3.88 | NR | Placebo |
Zhao et al. (2023) | Australia | R PC, DB (parallel) | Obesity | 60 (F: 47, M: 13) | 29 | 31 | 12 | 51 ± 12 | 46 ± 13 | 33.8 ± 2.7 | 34.2 ± 2.5 | 10,000 | Placebo |
Souza Fernandes Azevedo et al. (2023) | Brasil | R, PC, DB (paralell) | Metabolic syndrome | 31 (F: 27, M: 4) | 14 | 17 | 12 | 30–60 | 30–60 | 39.83 ± 6.98 | 39.57 ± 6.89 | NR | Placebo |
Matthan et al. (2024) | USA | R, PC (parallel) | Obesity | 994 (F: 721, M: 273) | 500 | 494 | 24 | 49.9 ± 14.3 | 50.5 ± 13.7 | 32.9 ± 5.3 | 33.2 ± 5.6 | NR | Placebo |
Meta-Analysis
Effect of Avocado Supplementation on
A meta-analysis of nine studies involving 2314 participants found that avocado intake had no significant effect on TG levels (WMD: 0.02 mg/dL, 95% CI: −5.97 to 6.01, p = 0.64) (Figure 2). High between-study heterogeneity was observed (I2 = 88%, p < 0.001). Subgroup analysis further confirmed that avocado supplementation did not reduce TG levels (Table 2; Figure 2a).
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TABLE 2 Subgroup analysis of the impacts of avocado supplementation on cardiovascular risk factors.
Number of study | WMD (95% CI) | p | Heterogeneity | |||
p heterogeneity | I2 (%) | p between sub-groups | ||||
Subgroup analyses of avocado supplementation on TG | ||||||
Overall effect | 9 | 0.02 (−5.93, 6.09) | 0.97 | < 0.001 | 88.0 | |
Baseline TG (mg/dL) | ||||||
< 150 | 7 | −0.12 (−6.27, 6.02) | 0.96 | < 0.001 | 90.8 | 0.75 |
≥ 150 | 2 | 5.63 (−29.25, 40.52) | 0.75 | < 0.001 | 7.4 | |
Trial duration (weeks) | ||||||
≤ 6 | 2 | −1.63 (−18.59, 15.33) | 0.85 | 0.53 | 0.0 | 0.83 |
> 6 | 7 | 0.25 (−6.15, 6.65) | 0.93 | < 0.001 | 90.9 | |
Intervention dose (mg/day) | ||||||
< 300 | 1 | −17.70 (−49.54, 14.14) | 0.27 | — | — | 0.52 |
≥ 300 | 4 | −6.78 (−18.07, 4.49) | 0.23 | 0.71 | 0.0 | |
Health status | ||||||
CVD | 1 | −0.31 (−6.40, 5.78) | 0.37 | — | — | 0.37 |
Non-CVD | 8 | 18.26 (−22.09, 58.61) | 0.92 | < 0.001 | 89.4 | |
Sex | ||||||
Both sexes | 8 | 0. 65 (−5.44, 6.76) | 0.83 | < 0.001 | 89.3 | 0.26 |
Female | 1 | −17.70 (−49.54, 14.14) | 0.27 | — | — | |
Baselin BMI (kg/m2) | ||||||
Normal (18.5–24.9) | 2 | −6.19 (−21.46, 9.08) | 0.42 | 0.28 | 13.5 | 0.39 |
Obese (> 30) | 7 | 1.06 (−5.45, 7.57) | 0.75 | < 0.001 | 90.7 | |
Subgroup analyses of avocado supplementation on TC | ||||||
Overall effect | 9 | 1.28 (−3.92, 6.49) | 0.62 | < 0.001 | 85.5 | |
Baseline TC (mg/dL) | ||||||
< 200 | 7 | 2. 39 (−3.26, 8.06) | 0.40 | < 0.001 | 88.7 | 0.29 |
≥ 200 | 2 | −6.16 (−21.07, 8.75) | 0.41 | 0.23 | 29.0 | |
Trial duration (weeks) | ||||||
≤ 6 | 2 | 1.02 (−4.63, 6.68) | 0.63 | 0.61 | 0.0 | 0.77 |
> 6 | 7 | 2.98 (−9.30, 15.26) | 0.72 | < 0.001 | 88.7 | |
Intervention dose (mg/day) | ||||||
< 300 | 1 | 57.91 (37.21, 78.60) | < 0.001. | — | — | 0.00 |
≥ 300 | 4 | 0.93 (−7.92, 9.79) | 0.83 | 0.32 | 13.5 | |
Health status | ||||||
CVD | 1 | 1. 23 (−3.98, 6.45) | 0.71 | — | — | 0.64 |
Non-CVD | 8 | 0. 99 (−4.40, 6.38) | 0.56 | < 0.001 | 86.9 | |
Sex | ||||||
Both sexes | 8 | −2.61 (−5.94, 0.71) | 0.14 | 0.006 | 64.1 | 0.00 |
Female | 1 | 57.91 (37.21, 78.60) | < 0.001 | — | — | |
Baselin BMI (kg/m2) | ||||||
Normal (18.5–24.9) | 2 | −4.00 (−25.30, 17.30) | 0.71 | 0.12 | 58.2 | 0.60 |
Obese (> 30) | 7 | 1. 89 (−3.66, 7.45) | 0.50 | < 0.001 | 88.5 | |
Subgroup analyses of avocado supplementation on LDL | ||||||
Overall effect | 8 | −3.75 (−4.70, −2.80) | < 0.001 | 0.669 | 0.0 | |
Baseline LDL (mg/dL) | ||||||
< 100 | 1 | 2. 38 (−14.31, 19.07) | 0.78 | — | — | 0.47 |
≥ 100 | 7 | −3.78 (−4.73, −2.83) | < 0.001 | 0.68 | 0.0 | |
Trial duration (weeks) | ||||||
≤ 6 | 2 | 0. 21 (−10.97, 11.40) | 0.97 | 0.73 | 0.0 | 0.48 |
> 6 | 6 | −3.79 (−4.74, −2.84) | < 0.001 | 0.57 | 0.0 | |
Intervention dose (mg/day) | ||||||
< 300 | 1 | −7.73 (−24.93, 9.47) | 0.37 | — | — | 0.31 |
≥ 300 | 4 | 1. 95 (−5.44, 9.34) | 0.60 | 0.77 | 0.0 | |
Health status | ||||||
CVD | 1 | −3.76 (−4.71, −2.81) | 0.90 | — | — | 0.57 |
Non-CVD | 7 | −3. 78 (−4.73, −2.82) | < 0.001 | 0.66 | 0.0 | |
Sex | ||||||
Both sexes | 7 | −3.75 (−4.70, −2.80) | < 0.001 | 0.64 | 0.0 | 0.65 |
Female | 1 | −7.73 (−24.93, 9.47) | 0.37 | — | — | |
Baselin BMI (kg/m2) | ||||||
Normal (18.5–24.9) | 2 | −0. 28 (−12.15, 11.59) | 0.96 | 0.65 | 0.0 | 0.56 |
Obese (> 30) | 6 | −3.78 (−4.74, −2.83) | < 0.001 | 0.56 | 0.0 | |
Subgroup analyses of avocado supplementation on HDL | ||||||
Overall effect | 7 | −0.27 (−1.45, 0.90) | 0.64 | 0.07 | 48.7 | |
Baseline HDL (mg/dL) | ||||||
< 50 | 4 | −0.64 (−2.27, 0.98) | 0.43 | 0.26 | 24.5 | 0.44 |
≥ 50 | 3 | −0.27 (−1.45, 0.90) | 0.84 | 0.44 | 0.0 | |
Trial duration (weeks) | ||||||
≤ 6 | 1 | −0.27 (−1.45, 0.90) | 0.86 | — | — | 0.93 |
> 6 | 6 | −0. 19 (−1.50, 1.11) | 0.76 | 0.04 | 56.8 | |
Intervention dose (mg/day) | ||||||
< 300 | 1 | 3. 86 (−2.66, 10.38) | 0.24 | — | — | 0.38 |
≥ 300 | 3 | 0. 70 (−2.21, 3.61) | 0.63 | 0.47 | 0.0 | |
Health status | ||||||
CVD | 1 | 0. 99 (−2.99, 4.97) | 0.62 | — | — | 0.52 |
Non-CVD | 6 | −0.35 (−1.61, 0.89) | 0.57 | 0.05 | 53.3 | |
Sex | ||||||
Both sexes | 6 | −0.45 (−1.57, 0.66) | 0.42 | 0.09 | 47.5 | 0.20 |
Female | 1 | 3. 86 (−2.66, 10.38) | 0.24 | — | — | |
Baselin BMI (kg/m2) | ||||||
Normal (18.5–24.9) | 1 | −0.27 (−1.45, 0.90) | 0.20 | — | — | 0.16 |
Obese (> 30) | 6 | −0.46 (−1.55, 0.63) | 0.41 | 0.09 | 46.2 | |
Subgroup analyses of avocado supplementation on FBG | ||||||
Overall effect | 5 | −0.05 (−0.43, 0.33) | 0.78 | 0.70 | 0.0 | |
Baseline FBG (mg/dL) | ||||||
< 100 | 3 | −1.43 (−3.42, 0.54) | 0.15 | 0.90 | 0.0 | 0.16 |
≥ 100 | 2 | 0. 00 (−0.39, 0.39) | 1.00 | 1.00 | — | |
Trial duration (weeks) | ||||||
≤ 6 | 1 | −1.54 (−4.52, 1.44) | 0.31 | — | — | 0.32 |
> 6 | 4 | −0. 02 (−0.41, 0.35) | 0.88 | 0.76 | 0.0 | |
Baselin BMI (kg/m2) | ||||||
Normal (18.5–24.9) | 1 | −1.54 (−4.52, 1.44) | 0.31 | — | — | 0.32 |
Obese (> 30) | 4 | −0.02 (−0.41, 0.36) | 0.88 | 0.76 | 0.0 | |
Subgroup analyses of avocado supplementation on SBP | ||||||
Overall effect | 5 | −1.15 (−2.19, −0.11) | 0.03 | 0.05 | 56.6 | |
Baseline SBP (mmHg) | ||||||
< 120 | 1 | 0. 00 (−6.32, 6.32) | 1.00 | — | — | 0.72 |
≥ 120 | 4 | −1.15 (−2.19, −0.11) | 0.03 | 0.03 | 66.5 | |
Trial duration (weeks) | ||||||
≤ 6 | 1 | −1. 15 (−2.19, −0.11) | 1.00 | — | — | 0.72 |
> 6 | 4 | −1. 17 (−2.28, −0.06) | 0.03 | 0.03 | 66.5 | |
Subgroup analysis of avocado supplementation on DBP | ||||||
Overall effect | 6 | −0.03 (−0.07, 0.00) | 0.06 | 0.003 | 61.9 | |
Baseline DBP (mmHg) | ||||||
< 80 | 2 | −0.01 (−0.09, 0.06) | 0.68 | 0.18 | 42.2 | 0.61 |
≥ 80 | 4 | −0.04 (−0.08, 0.00) | 0.06 | 0.00 | 78.0 | |
Intervention dose (mg/day) | ||||||
< 300 | 1 | −0. 05 (−0.12, 0.02) | 0.20 | — | — | 0.57 |
≥ 300 | 2 | −0.03 (−0.08, 0.02) | 0.65 | 0.18 | 42.2 | |
Sex | ||||||
Both sexes | 5 | −0.03 (−0.07, 0.01) | 0.13 | 0.00 | 76.9 | 0.71 |
Female | 1 | −0.05 (−0.12, 0.02) | 0.20 | — | — | |
Baselin BMI (kg/m2) | ||||||
Normal (18.5–24.9) | 1 | −0.03 (−0.07, 0.00) | 0.18 | — | — | 0.58 |
Obese (> 30) | 5 | −0.03 (−0.07, 0.01) | 0.14 | 0.00 | 77.0 | |
Subgroup analysis of avocado supplementation on BMI | ||||||
Overall effect | 5 | −0.07 (−0.21, 0.07) | 0.31 | 0.92 | 0.0 | |
Baseline BMI (kg/m2) | ||||||
< 30 | 1 | −0.00 (−1.52, 1.52) | 1.00 | — | — | 0.92 |
≥ 30 | 4 | −0.07 (−0.22, 0.07) | 0.31 | 0.83 | 0.0 | |
Trial duration (weeks) | ||||||
≤ 6 | 1 | −0.07 (−0.21, 0.07) | 1.00 | — | — | 0.92 |
> 6 | 4 | −0.07 (−0.22, 0.07) | 0.31 | 0.83 | 0.0 | |
Intervention dose (mg/day) | ||||||
< 300 | 1 | 0. 30 (−1.73, 2.33) | 0.77 | — | 0.93 | |
≥ 300 | 1 | 0. 00 (−1.52, 1.52) | 1.00 | — | — | |
Health status | ||||||
CVD | 1 | −0. 07 (−0.21, 0.07) | 0.98 | — | — | 0.97 |
Non-CVD | 4 | −0. 07 (−0.21, 0.07) | 0.31 | 0.83 | 0.0 | |
Sex | ||||||
Both sexes | 4 | −0.07 (−0.22, 0.06) | 0.30 | 0.86 | 0.0 | 0.71 |
Female | 1 | 0. 30 (−1.73, 2.33) | 0.77 | — | — | |
Baselin BMI (kg/m2) | ||||||
Normal (18.5–24.9) | 1 | −0.07 (−0.21, 0.07) | 1.00 | — | — | 0.92 |
Obese (> 30) | 4 | −0.07 (−0.22, 0.07) | 0.31 | 0.83 | 0.0 | |
Subgroup analysis of avocado supplementation on CRP | ||||||
Overall effect | 6 | 0.02 (−0.04, 0.00) | 0.10 | 0.60 | 0.0 | |
Baseline CRP | ||||||
> 0.3 | 4 | −0.02 (−0.05, 0.00) | 0.11 | 0.63 | 0.0 | 0.89 |
< 0.3 | 2 | −0.01 (−0.09, 0.06) | 0.68 | 0.17 | 46.2 | |
Intervention dose (mg/day) | ||||||
< 300 | 2 | −0.01 (−0.09, 0.06) | 0.68 | 0.17 | 46.2 | 0.55 |
≥ 300 | 1 | −0.05 (−0.12, 0.02) | 0.20 | — | — | |
Sex | ||||||
Both sexes | 5 | −0.01 (−0.04, 0.00) | 0.67 | 0.55 | 0.0 | 0.44 |
Female | 1 | −0.05 (−0.12, 0.02) | 0.20 | — | — | |
Baselin BMI (kg/m2) | ||||||
Normal (18.5–24.9) | 1 | −0.06 (−0.14, 0.02) | 0.18 | — | — | 0.36 |
Obese (> 30) | 5 | −0.01 (−0.04, 0.00) | 0.19 | 0.59 | 0.0 |
Effect of Avocado Supplementation on
The pooled effect sizes from nine RCTs involving 2314 people (1161 cases and 1153 controls) showed that avocado supplementation did not significantly change TC (WMD: 1.29 mg/dL; 95% CI: −3.92 to 6.50; p = 0.62), with a substantial heterogeneity (I2 = 85.5%) (Figure 2b). The subgroup analysis was carried out according to gender, serum baseline TC, baseline BMI, and duration of the intervention to identify the source of heterogeneity. As a result, subgroup analysis revealed that avocado supplementation did not reduce TC levels (Table 2).
Effect of Avocado Supplementation on
Nine studies with 2314 participants were analyzed overall. The results showed that those who took avocado supplements had lower LDL levels than the control group (WMD: −3.75 mg/dL, 95% CI: −4.70 to −2.80; p < 0.001) (Figure 2c), with between-study heterogeneity (I2 = 0%, p = 0.669). The subgroup analysis based on the baseline LDL showed that the decrease in LDL following avocado supplementation was significant at LDL > 100 (WMD: −3.78 mg/dL; 95% CI: −4.73, −2.83; p < 0.001). Additionally, other subgroup analyses revealed that avocado significantly decreased LDL in non-CVD patients (WMD: −3.78 mg/dL, 95% CI: −4.73, −2.82; p < 0.001) and in long-duration of intervention (> 6 weeks) studies in both sexes (WMD: −3.75 mg/dL, 95% CI: −4.70, −2.80; p < 0.001) and individuals with BMI > 30 (WMD: −3.78 mg/dL, 95% CI: −4.74, −2.83; p < 0.001).
Effect of Avocado Supplementation on
The analysis includes a total of 2314 participants from nine different trials. Avocado supplementation had a lowering but non-statistically significant effect on HDL (WMD: −0.27 mg/dL; 95% CI: −1.45, 0.91; p = 0.064), according to the meta-analysis (Figure 2d). Between-study heterogeneity (I2 = 48.7%, p = 0.069) was found. In all subgroups, our subgroup analysis revealed no significant between-study heterogeneity (Table 2).
Effect of Avocado Supplementation on
The meta-analysis revealed a lowering but non-statistically significant effect of avocado supplementation on FBG (WMD: −0.05 mg/dL; 95% CI: −0.44, 0.33; p = 0.79). The analysis comprised six trials with a total of 1174 participants. Between heterogeneity (I2 = 0.0%, p = 0.709) was found (Table 2; Figure 3e).
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Effect of Avocado Supplementation on
The overall analysis of six studies enrolling 1174 participants showed no significant changes in CRP among individuals assigned to avocado supplementation compared with controls (WMD: −0.02 mg/dL; 95% CI: −0.05, 0.00; p = 0.06) (Figure 2f), with between-study heterogeneity (I2 = 0.0%, p = 0.607). Our subgroup analysis showed no significant between-study heterogeneity in all subgroups (Table 2).
Effect of Avocado Supplementation on
Five clinical trials totaling 2216 people were included in our meta-analysis. With considerable between-study heterogeneity (I2 = 56.6%, p = 0.056), we combined these effect sizes to find that avocado supplementation had a significant effect on SBP (WMD: −1.16 mmHg; 95% CI: −2.20, −0.13; p = 0.03) (Figure 2g). Subgroup analysis showed that the between-study heterogeneity was explained by the intervention duration and baseline SBP. We observed a significant effect of avocado supplementation on SBP in studies that included SBP > 120 mmHg (WMD: −1.15 mmHg; 95% CI: −2.19, −0.11; p = 0.03) and those with a duration of intervention > 6 weeks (WMD: −1.17 mmHg; 95% CI: −2.28, −0.06; p = 0.03) (Table 2).
Effect of Avocado Supplementation on
Five clinical trials with a total of 2216 people were included in our meta-analysis. When combining these effect sizes, we found that avocado supplementation had increased DBP but was not statistically significant (WMD: 0.03 mmHg; 95% CI: −0.73, 0.79; p = 0.938), with significant between-study heterogeneity (I2 = 61.9%; p = 0.033) (Figure 2h). Subgroup analysis showed that the between-study heterogeneity was explained by sex, health status, baseline BMI, intervention dose, and duration of the intervention (Table 2).
Effect of Avocado Supplementation on
A total of 1151 participants (581 cases and 578 controls) participated in five trials examining how avocado supplementation affected BMI. Avocado supplementation did not significantly affect BMI, according to the overall effect sizes (WMD: −0.07 mmHg; 95% CIs: −0.22 to 0.07; p = 0.31) (Figure 2i). The degree of heterogeneity (I2 = 0%, p = 0.928) was found. Gender, study participants' health state, baseline BMI, length of intervention, and dosage were determined to account for 0.0% of the heterogeneity in the subgroup analysis. When considering the overall impacts, subgroup analysis revealed that the results remained significant (Table 2).
Sensitivity Analysis
To ascertain each study's impact on the overall effect size, we omitted each trial from the analysis step by step. After deleting the study of Zhang et al. (2022) the overall effect of avocado on HOMA-IR significantly changed (WMD: −109.76, 95% CI: −106.76, 78.24). For SBP, after removing the study by Zhao et al. (2023), Lichtenstein et al. (2022) and Zhang et al. (2022), the overall effect changed significantly. Based on the results of the sensitivity analysis, data on DBP was sensitive to studies by Lichtenstein et al. (2022) (WMD: 0.53, 95% CI: 0.16, 0.90), and the overall results changed to significant. The overall effect of avocado on CRP also changed to a significant value after excluding studies by Zhao et al. (2023) (WMD: 0.04, 95% CI: −0.08, −0.005) and Matthan et al. (2024) (WMD: −0.04, 95% CIs: −0.08, −0.002).
Publication Bias and Risk of Bias Assessment
Despite some publication bias asymmetry seen by visual inspection of funnel plots the number of included studies was less than 10. Therefore, we did not perform publication bias tests based on the Egger's and Begg's tests (Figure 3). The ROB 2 across the studies included in this meta-analysis is detailed in Table 3.
TABLE 3 Risk of bias assessment 2.
Study | D1 | D2 | D3 | D4 | D5 | Overall |
Pieterse et al. (2005) | L | H | H | H | L | Moderate-risk |
Martínez-Abundis et al. (2013) | L | L | L | L | L | Low-risk |
Scott et al. (2017) | L | H | H | L | L | Moderate-risk |
Hernández Salazar et al. (2022) | L | H | H | H | L | Low-risk |
Lichtenstein et al. (2022) | L | H | H | H | L | Low-risk |
Zhang et al. (2022) | L | H | H | H | L | Low-risk |
Zhao et al. (2023) | L | L | L | H | L | Moderate-risk |
Souza Fernandes Azevedo et al. (2023) | L | L | L | H | L | Low-risk |
Matthan et al. (2024) | L | H | H | H | L | Low-risk |
The GRADE assessment of avocado's effects on CVD risk factors in adults, as presented in Table 4, indicates varying levels of evidence quality across different outcomes. For TG and TC, the evidence quality is rated as low due to very serious inconsistency and serious imprecision, despite no serious limitations in risk of bias or indirectness. High-quality evidence was found for LDL, with no limitations in any domains, whereas high evidence was also observed for FBG, SBP, BMI, and CRP, though these outcomes were impacted by serious imprecision. DBP had moderate-quality evidence due to serious limitations in both inconsistency and imprecision. High limitations due to inconsistency and imprecision reduced the quality for HDL, which also had significant publication bias. Overall, the quality of evidence ranged from very high to low, with notable concerns around heterogeneity, imprecision, and publication bias affecting some outcomes.
TABLE 4 Grade profile of avocado for CVD risk factors in adults.
Outcomes | Risk of bias | Inconsistency | Indirectness | Imprecision | Publication bias | Quality of evidence |
TG | No serious limitation | Very serious limitationa | No serious limitation | Serious limitationc | No serious limitation |
⊕◯◯◯ Low |
TC | No serious limitation | Very serious limitationa | No serious limitation | Serious limitationc | No serious limitation |
⊕◯◯◯ Low |
LDL | No serious limitation | No serious limitation | No serious limitation | No serious limitation | No serious limitation |
⊕⊕⊕⊕ Very High |
HDL | No serious limitation | Serious limitationb | No serious limitation | Serious limitationc | Serious limitationd |
⊕◯◯◯ Low |
FBG | No serious limitation | No serious limitation | No serious limitation | Serious limitationc | No serious limitation |
⊕⊕⊕◯ High |
SBP | No serious limitation | Serious limitationb | No serious limitation | No serious limitation | No serious limitation |
⊕⊕⊕◯ High |
DBP | No serious limitation | Serious limitationb | No serious limitation | Serious limitationc | No serious limitation |
⊕⊕◯◯ Moderate |
BMI | No serious limitation | No serious limitation | No serious limitation | Serious limitationc | No serious limitation |
⊕⊕⊕◯ High |
CRP | No serious limitation | No serious limitation | No serious limitation | Serious limitationc | No serious limitation |
⊕⊕⊕◯ High |
Discussion
This study aimed to assess the effects of avocado consumption on lipid profiles, blood glucose, inflammatory markers, and blood pressure to determine its impact on cardiovascular disease risk factors. Our pooled analysis of 10 RCTs suggests that avocado intake does not significantly affect triglycerides, total cholesterol, HDL, fasting blood glucose, BMI, or C-reactive protein. However, a notable reduction in LDL cholesterol and systolic blood pressure was observed, with a borderline insignificant decrease in diastolic blood pressure. These findings suggest that while avocado consumption may provide some cardiovascular benefits, particularly in lowering LDL cholesterol and systolic BP, it does not appear to have a substantial effect on other metabolic and inflammatory markers.
Our findings are supported by recent research highlighting the importance of avocados in reducing cardiovascular risk factors. In a randomized study, for example, Wang et al. (2015) discovered that eating one avocado daily for 6 weeks raised plasma lutein concentrations and decreased circulating LDL levels. A high-carb, low-fat diet, a moderate-fat diet with corresponding macronutrients and fatty acids, and a normal Western diet contrasted with this impact. Beyond their fatty acids, avocado's bioactive components were thought to be responsible for the advantages.
On the avocado diet, oxLDL may have decreased due to the decrease in small LDL particles. Moreover, even on a low-fat, high-carb diet that raises small, dense LDL (sdLDL) particles, increased consumption of fruits, vegetables, and whole grains may offer protection against the oxidation of atherogenic lipoproteins (Wang et al. 2020).
According to a thorough study on American men and women by Pacheco et al. (2022), eating avocados regularly can dramatically lower the incidence of coronary heart disease and CVDs. However, there was no significant link between eating avocados and either ischemia or total stroke. According to the study, avocados can reduce the incidence of cardiovascular disease by replacing unhealthy foods, including butter, margarine, processed meats, cheese, and eggs. This research offers more proof that including plant-based unsaturated fats in our diet can enhance its quality and significantly lower the risk of CVD in the general population.
Beyond its fatty acid composition, Wang et al. (2020) discovered that eating one Hass avocado daily can help lower LDL and other newly identified risk factors for CVD. This study also demonstrates that when compared to a high-monounsaturated-fat diet with comparable macronutrient and fatty acid profiles, a moderate-fat diet low in saturated fat and high in monounsaturated fat from avocados can result in larger reductions in a variety of cholesterol indicators. Therefore, in comparison to a low-saturated-fat diet with equivalent amounts of monounsaturated fats, including a food source high in monounsaturated fats and bioactive substances can offer further cardiovascular advantages.
Our analysis revealed that supplementing with avocados did not significantly alter glucose levels in terms of FBG levels after 6 months of consuming one avocado per day. Lichtenstein et al. (2022) found no discernible differences in the FBG between the HD and avocado diets. Furthermore, Wang et al. (2020) demonstrated no difference in fasting blood sugar levels across the avocado, low-fat, high-fat, and moderate-fat diets.
Over time, normal values for high blood pressure have changed, and food may be a significant factor (Cheng et al. 2017; Evbayekha et al. 2022). We studied the effect of avocado intake on blood pressure and found that it significantly decreased SBP while increasing DBP; however, this was not statistically significant.
According to Pieterse et al. (2005) there was no weight loss or avocado (MUFA) effect on arterial compliance, plasma fibrinogen, serum lipid levels, SBP, or DBP. However, any possible effects on these variables might have been obscured by the small sample size. Mahmassani et al. (2018) previously did a meta-analysis that looked at the relationship between avocado consumption and CVDs. According to the results, eating avocados may increase HDL cholesterol levels. However, avocado consumption had no significant effect on blood TC, LDL cholesterol, or TG levels.
The reason why some studies have reported a significant effect on some cardiac risk factors and some have not can be attributed to factors such as different duration and amount of avocado consumption in the studies, different clinical conditions in the studies, study design, age and gender of the participants, and baseline levels of the measured variables.
Study Limitations
The number of studies and the significant heterogeneity are two of the primary drawbacks of our meta-analysis. However, by using the leave-one-out strategy, we were able to resolve the heterogeneity. Due to variances in variables such as participant types, dietary habits, control groups, and intervention duration, the analysis revealed notable discrepancies between trials. In accordance with the control group, we conducted a subgroup analysis, yielding more consistent outcomes. Another drawback is the limited sample sizes and notable fluctuation of results in the studies that were part of the study. This finding should, therefore, be interpreted cautiously, and more long-term studies are required to completely comprehend how eating avocados affects blood lipid levels and other CVD risk factors. On the other hand, interpretation needs to be done carefully, given the high level of heterogeneity among studies on TG, TC, SBP, and DBP. The last limitation is that the protocol of the present study was not registered.
Conclusion
According to this meta-analysis, avocado supplements raised DBP, TG, and TC while decreasing BMI, CRP, FBG, LDL, and SBP levels. To clarify the impact of avocado on CVD risk variables, particularly insulin resistance and inflammatory indicators, more carefully planned RCTs and mechanistic research are required. It appeared that taking avocado supplements for more than 6 weeks at a dose of about 300 mg/day was the most effective way to reduce DBP. Furthermore, a drop in DBP levels was observed following 6 weeks of avocado consumption, indicating a non-linear relationship between the length of the avocado intervention and DBP. Finally, it is recommended that studies with a stronger design, with longer-term interventions and different doses, and with larger populations with different clinical conditions be conducted to obtain more robust results regarding avocado consumption on human health.
Author Contributions
Sahel Hamednia: writing – original draft (equal). Zahra Shouhani: writing – original draft (equal). Sara Tavakol: writing – original draft (equal). Nazanin Montazeri: writing – original draft (equal). Mohammadreza Amirkhan-Dehkordi: writing – original draft (equal). Mohammad Amin Karimi: writing – original draft (equal). Mehraveh Bastamkhani: writing – original draft (equal). Haleh Chavoshian Tabrizy: writing – review and editing (equal). Ramin Amirsasan: writing – original draft (equal). Javad Vakili: writing – original draft (equal). Mehdi Karimi: writing – review and editing (equal). Omid Asbaghi: writing – original draft (equal).
Disclosure
Registration: The protocol of this systematic review and meta-analysis was not registered.
Ethics Statement
The authors have nothing to report.
Consent
The authors have nothing to report.
Conflicts of Interest
The authors declare no conflicts of interest.
Data Availability Statement
The datasets generated during and/or analyzed during the current study are available from the corresponding author upon reasonable request.
Asbaghi, O., F. Fouladvand, M. J. Gonzalez, D. Ashtary‐Larky, R. Choghakhori, and A. Abbasnezhad. 2021. “Effect of Green Tea on Glycemic Control in Patients With Type 2 Diabetes Mellitus: A Systematic Review and Meta‐Analysis.” Diabetes and Metabolic Syndrome: Clinical Research and Reviews 15, no. 1: 23–31.
Asbaghi, O., F. Naeini, D. Ashtary‐Larky, et al. 2021. “Effects of Chromium Supplementation on Blood Pressure, Body Mass Index, Liver Function Enzymes and Malondialdehyde in Patients With Type 2 Diabetes: A Systematic Review and Dose‐Response Meta‐Analysis of Randomized Controlled Trials.” Complementary Therapies in Medicine 60: 102755.
Begg, C. B., and J. A. Berlin. 1988. “Publication Bias: A Problem in Interpreting Medical Data.” Journal of the Royal Statistical Society. Series A, Statistics in Society 151, no. 3: 419–445.
Borenstein, M., L. V. Hedges, J. P. Higgins, and H. R. Rothstein. 2010. “A Basic Introduction to Fixed‐Effect and Random‐Effects Models for Meta‐Analysis.” Research Synthesis Methods 1, no. 2: 97–111.
Borenstein, M., L. V. Hedges, J. P. Higgins, and H. R. Rothstein. 2021. Introduction to Meta‐Analysis. John Wiley & Sons.
Cheng, H. M., G. Koutsidis, J. K. Lodge, A. Ashor, M. Siervo, and J. Lara. 2017. “Tomato and Lycopene Supplementation and Cardiovascular Risk Factors: A Systematic Review and Meta‐Analysis.” Atherosclerosis 257: 100–108.
DerSimonian, R., and N. Laird. 1986. “Meta‐Analysis in Clinical Trials.” Controlled Clinical Trials 7, no. 3: 177–188.
Dreher, M. L., and A. J. Davenport. 2013. “Hass Avocado Composition and Potential Health Effects.” Critical Reviews in Food Science and Nutrition 53, no. 7: 738–750.
Egger, M., G. D. Smith, M. Schneider, and C. Minder. 1997. “Bias in Meta‐Analysis Detected by a Simple, Graphical Test.” BMJ 315, no. 7109: 629–634.
Evbayekha, E. O., O. E. Okobi, T. Okobi, et al. 2022. “The Evolution of Hypertension Guidelines Over the Last 20+ Years: A Comprehensive Review.” Cureus 14, no. 11: e31437.
Hasanloei, M. A. V., M. Rahimlou, A. Eivazloo, S. Sane, P. Ayremlou, and R. Hashemi. 2020. “Effect of Oral Versus Intramuscular Vitamin D Replacement on Oxidative Stress and Outcomes in Traumatic Mechanical Ventilated Patients Admitted to Intensive Care Unit.” Nutrition in Clinical Practice 35, no. 3: 548–558. https://doi.org/10.1002/ncp.10404.
Hashemi, R., A. Mehdizadeh Khalifani, M. Rahimlou, and M. Manafi. 2020. “Comparison of the Effect of Dietary Approaches to Stop Hypertension Diet and American Diabetes Association Nutrition Guidelines on Lipid Profiles in Patients With Type 2 Diabetes: A Comparative Clinical Trial.” Nutrition and Dietetics 77, no. 2: 204–211. https://doi.org/10.1111/1747‐0080.12543.
Hernández Salazar, M., A. Flores, E. Ramírez, J. Llaca Díaz, B. Rodríguez, and H. Castro. 2022. “Effect of Avocado Honey on Anthropometric and Biochemical Parameters in Healthy Subjects: A Pilot Randomised Controlled Trial.” CyTA Journal of Food 20, no. 1: 78–85.
Kopin, L., and C. Lowenstein. 2017. “In the Clinic Dyslipidemia.” Annals of Internal Medicine 167, no. 11: ITC81–ITC96.
Lichtenstein, A. H., P. M. Kris‐Etherton, K. S. Petersen, et al. 2022. “Effect of Incorporating 1 Avocado Per Day Versus Habitual Diet on Visceral Adiposity: A Randomized Trial.” Journal of the American Heart Association 11, no. 14: e025657.
Liu, X., J. Sievert, M. L. Arpaia, and M. A. Madore. 2002. “Postulated Physiological Roles of the Seven‐Carbon Sugars, Mannoheptulose, and Perseitol in Avocado.” Journal of the American Society for Horticultural Science 127, no. 1: 108–114.
Mahmassani, H. A., E. E. Avendano, G. Raman, and E. J. Johnson. 2018. “Avocado Consumption and Risk Factors for Heart Disease: A Systematic Review and Meta‐analysis.” American Journal of Clinical Nutrition 107, no. 4: 523–536.
Mahmoud, A. M., R. J. Hernandez Bautista, M. A. Sandhu, and O. E. Hussein. 2019. “Beneficial Effects of Citrus Flavonoids on Cardiovascular and Metabolic Health.” Oxidative Medicine and Cellular Longevity 2019, no. 1: 5484138.
Martínez‐Abundis, E., M. González‐Ortiz, A. R. Mercado‐Sesma, C. Reynoso‐von‐Drateln, and A. Moreno‐Andrade. 2013. “Effect of Avocado Soybean Unsaponifiables on Insulin Secretion and Insulin Sensitivity in Patients With Obesity.” Obesity Facts 6, no. 5: 443–448.
Mas‐Capdevila, A., J. Teichenne, C. Domenech‐Coca, et al. 2020. “Effect of Hesperidin on Cardiovascular Disease Risk Factors: The Role of Intestinal Microbiota on Hesperidin Bioavailability.” Nutrients 12, no. 5: 1488.
Matthan, N. R., L. Lovato, K. S. Petersen, et al. 2024. “Effect of Daily Avocado Consumption for 6 Mo Compared With Habitual Diet on Red Blood Cell Fatty Acid Profiles and Association With Cardiometabolic Risk Factors in Individuals With Abdominal Obesity: A Randomized Trial.” American Journal of Clinical Nutrition 120, no. 4: 794–803.
Mitchell, M. N. 2012. Interpreting and Visualizing Regression Models Using Stata. Vol. 558. Stata Press.
Muralidhara, B. M., T. Sakthivel, K. S. Shivashankara, et al. 2023. “Morpho‐Biochemical Characterization of a Unique Avocado (Persia americana Mill.) Accession PA‐026 (IC0644455).” Journal of Horticultural Sciences 18, no. 2: 1675.
Naseri, K., S. Saadati, D. Ashtary‐Larky, et al. 2022. “Probiotics and Synbiotics Supplementation Improve Glycemic Control Parameters in Subjects With Prediabetes and Type 2 Diabetes Mellitus: A GRADE‐Assessed Systematic Review, Meta‐Analysis, and Meta‐Regression of Randomized Clinical Trials.” Pharmacological Research 184: 106399.
Noormohammadi, M., G. Eslamian, S. Malek, N. Shoaibinobarian, and S. N. Mirmohammadali. 2022. “The Association Between Fertility Diet Score and Polycystic Ovary Syndrome: A Case‐Control Study.” Health Care for Women International 43, no. 1–3: 70–84.
Pacheco, L. S., Y. Li, E. B. Rimm, et al. 2022. “Avocado Consumption and Risk of Cardiovascular Disease in US Adults.” Journal of the American Heart Association 11, no. 7: e024014.
Page, M. J., D. Moher, P. M. Bossuyt, et al. 2021. “PRISMA 2020 Explanation and Elaboration: Updated Guidance and Exemplars for Reporting Systematic Reviews.” BMJ (Clinical Research Edition) 372: n160.
Pieterse, Z., J. Jerling, W. Oosthuizen, et al. 2005. “Substitution of High Monounsaturated Fatty Acid Avocado for Mixed Dietary Fats During an Energy‐Restricted Diet: Effects on Weight Loss, Serum Lipids, Fibrinogen, and Vascular Function.” Nutrition 21, no. 1: 67–75.
Ruiz‐Moreno, C., B. Lara, J. J. Salinero, D. Brito de Souza, J. M. Ordovás, and J. Del Coso. 2020. “Time Course of Tolerance to Adverse Effects Associated With the Ingestion of a Moderate Dose of Caffeine.” European Journal of Nutrition 59: 3293–3302.
Scott, T. M., H. M. Rasmussen, O. Chen, and E. J. Johnson. 2017. “Avocado Consumption Increases Macular Pigment Density in Older Adults: A Randomized, Controlled Trial.” Nutrients 9, no. 9: 919.
Souza Fernandes Azevedo, A. C., M. F. Cardoso de Lima, E. L. Lopes Ramos, A. P. Boroni Moreira, and C. Teodoro de Souza. 2023. “Effects of Avocado Oil Supplementation on Lipid Profile and Atherogenic Indices in a Doubleblind and Randomised Intervention in Patients With Metabolic Syndrome.” Demetra: Alimentação, Nutrição & Saúde 18: 70457.
Sterne, J. A. C., J. Savović, M. J. Page, et al. 2019. “RoB 2: A Revised Tool for Assessing Risk of Bias in Randomised Trials.” BMJ (Clinical Research Edition) 366: l4898. https://doi.org/10.1136/bmj.l4898.
US Department of Agriculture and US Department of Health and Human Services. 2010. Nutrition and Your Health: Dietary Guidelines for Americans. US Department of Agriculture and US Department of Health and Human Services.
Vaduganathan, M., G. A. Mensah, J. V. Turco, V. Fuster, and G. A. Roth. 2022. “The Global Burden of Cardiovascular Diseases and Risk: A Compass for Future Health.” Journal of the American College of Cardiology 80: 2361–2371.
Wang, L., L. Tao, L. Hao, et al. 2020. “A Moderate‐Fat Diet With One Avocado Per Day Increases Plasma Antioxidants and Decreases the Oxidation of Small, Dense LDL in Adults With Overweight and Obesity: A Randomized Controlled Trial.” Journal of Nutrition 150, no. 2: 276–284.
Wang, L., P. L. Bordi, J. A. Fleming, A. M. Hill, and P. M. Kris‐Etherton. 2015. “Effect of a Moderate Fat Diet With and Without Avocados on Lipoprotein Particle Number, Size and Subclasses in Overweight and Obese Adults: A Randomized, Controlled Trial.” Journal of the American Heart Association 4, no. 1: e001355.
Wegier, A., F. Lorea Hernández, A. Contreras, W. Tobón, and A. Mastretta‐Yanes. 2017. “Persea americana” (Errata Version Published in 2018). The IUCN Red List of Threatened Species.
Zhang, X., D. Xiao, G. Guzman, I. Edirisinghe, and B. Burton‐Freeman. 2022. “Avocado Consumption for 12 Weeks and Cardiometabolic Risk Factors: A Randomized Controlled Trial in Adults With Overweight or Obesity and Insulin Resistance.” Journal of Nutrition 152, no. 8: 1851–1861.
Zhao, L., D. K. Ingram, E. Gumpricht, et al. 2023. “Effects of an Unripe Avocado Extract on Glycaemic Control in Individuals With Obesity: A Double‐Blinded, Parallel, Randomised Clinical Trial.” Nutrients 15, no. 22: 4812.
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Abstract
ABSTRACT
Cardiovascular diseases are a major global health concern, and avocados, rich in monounsaturated fats and bioactive compounds, may help improve heart health by influencing lipid profiles and other risk factors. However, existing studies on avocado consumption and cardiovascular benefits show inconsistent results, and no comprehensive meta‐analysis has been conducted. This study aims to systematically review and analyze current research to provide a quantitative assessment of avocados' effects on cardiovascular risk factors in adults. From inception until May 2025, a comprehensive search was conducted on PubMed, Web of Science, and Scopus to find randomized controlled studies (RCTs) evaluating the effectiveness of avocado intake on cardiovascular risk factors. Following screening, data were extracted and analyzed by STATA. The pooled analysis of 10 RCTs showed that avocado intake had no significant change on triglycerides (TG) (WMD: 0.02 mg/dL;
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1 Department of Exercise Physiology, Faculty of Physical Education and Sport Science, University of Tabriz, Tabriz, Iran
2 School of Medicine, Ahvaz Jundishapur University of Medical Science, Ahvaz, Iran
3 Department of Exercise Physiology, Islamic Azad University, Central Tehran Branch, Tehran, Iran
4 Department of Exercise Physiology, University of Guilan, Rasht, Iran
5 Department of Physical Education Sport Sciences Science and Research, Islamic Azad University, Tehran, Iran
6 School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran
7 Department of Nutrition, Science and Research Branch, Islamic Azad University, Tehran, Iran
8 Department for Sustainable Development and Ecological Transition (DISSTE), University of Eastern Piedmont, Vercelli, Italy
9 Faculty of Physical Education and Sport Science, University of Tabriz, Tabriz, Iran
10 Faculty of Medicine, Bogomolets National Medical University (NMU), Kyiv, Ukraine
11 Cancer Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran, Student Research Committee, Shahid Beheshti University of Medical Sciences, Tehran, Iran