The network meta-analysis and systematic review conducted aim to comparatively assess the effects of tree nuts and peanuts on body weight (BW), body mass index (BMI), waist circumference (WC), and body fat percentage (BF%). A systematic search up to 31 December 2020 was performed. A random-effects network meta-analysis was conducted following the PRISMA-NMA statement. A total of 105 randomized controlled trials (RCTs) with measures of BW (n = 6768 participants), BMI (n = 2918), WC (n = 5045), and BF% (n = 1226) were included. The transitivity assumption was met based on baseline characteristics. In the comparisons of nut consumption versus a control diet, there was no significant increase observed in any of the adiposity-related measures examined except for hazelnut-enriched diets, which raised WC. Moreover, almond-enriched diets significantly reduced WC compared to the control diet and to the pistachio-, mixed nuts-, and hazelnut-enriched diets. In subgroup analyses with only RCTs, designed to assess whether nut consumption affected weight loss, almonds were associated with reduced BMI and walnuts with reduced %BF. The evidence supports that: (1) tree nut and peanut consumption do not influence adiposity, and (2) compared to a control diet, the consumption of almond-enriched diets was associated with a reduced waist circumference.
Context Dietary patterns play a key role in mental health, depression, and mood state. However, the evidence concerning specific foods highly recommended for mental health, such as nuts, has not yet been synthesized. Objective The objective of this review was to synthesize the evidence for a relationship between higher levels of nut consumption, lower risk of depression, and better mood state in the general population. Data Sources The MEDLINE, Scopus, Cochrane Central, Web of Science, and PsycInfo databases were systematically searched from each database’s inception to March 2021. Data Extraction Randomized clinical trials (RCTs) and observational studies exploring the association between nut consumption, level of depression, and mood state in the general population were included. The quality of the studies was measured through the Joanna Briggs Institute tool (cross-sectional studies), the NIH Quality Assessment Tool (cohort studies), and the Cochrane Risk-of-Bias tool (RCTs). The Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines were followed. Data Analysis A total of 10 studies involving 66 418 individuals were included, of which 3 were cross-sectional, 3 were cohort studies, and 4 were RCTs. In studies concerned with depression (n = 6 studies), a higher level of nut consumption was associated with a lower risk of depression in 2 cross-sectional studies and 1 cohort study, while a similar but nonsignificant association was found in another cohort and in two RCTs. In studies concerned with mood state (n = 4), 1 cohort study reported an association between higher nut consumption and significant improvement in mood state, whereas (nonsignificant) associations between higher nut consumption and increased negative feelings were reported in a cross-sectional study and two RCTs. Conclusion Despite the small number of studies and the limitations related to them, such as reverse causation bias, overall, the available literature suggests that higher nut consumption could be associated with a lower risk of depression, fewer depressive symptoms, and better mood state in the general population. Systematic Review Registration PROSPERO registration no. CRD42021241070.
The main objective of this study was to estimate the association between nut consumption and body composition-related measures and to examine whether this relationship is mediated by cardiorespiratory fitness (CRF) and the muscle strength index (MSI) in young adults. A cross-sectional study involving college students (n = 354) aged 18–30 years from a Spanish public university was conducted. Body composition and fitness components were assessed using standard methods. Nut consumption was evaluated using a Food-Frequency Questionnaire. ANCOVA models were used to assess the mean differences in physical fitness and body composition by nut consumption categories. Hayes’s PROCESS macro was applied for mediation and interaction analyses adjusted for the main confounders. Young adults with high nut consumption (≥5 portions of 30 g/week) showed significantly higher values of physical fitness components and fat-free mass and lower values of adiposity-related measures than their peers in the lowest categories of nut consumption (˂1 portion/week) (p < 0.05). No significant interaction between CRF and nut consumption on body composition was found. In the mediation analysis, CRF and MSI acted as full mediators of the relationship of nut consumption with fat-free mass and waist circumference/height index. Otherwise, CRF and MSI partially mediated the relationship between nut consumption and body mass index and percent of fat mass. Finally, nut consumption, per se, does not appear to have a significant impact on body composition indicators because these associations have been shown to be partially (for BMI and %BF) or entirely (for ratio WC/height and fat-free mass) explained by CRF and MSI.
Context It seems that nut consumption does not lead to weight gain in the general population. However, fewer studies have explored this relationship in individuals with type 2 diabetes (T2D). Purpose To synthesize evidence on the effects of nut (specifically, tree nuts and peanuts) consumption on adiposity-related measures in individuals diagnosed with T2D. Data Sources and Study Selection Four databases were searched up to December 31, 2020. Randomized controlled trials that examined the effects of nut consumption vs a control diet on body weight, body mass index, waist circumference, and percent body fat were included. Data Extraction The pooled effect sizes (p-ESs) and 95%CIs of nut consumption were estimated using random effects models. Data Synthesis A total of 15 randomized controlled trials including 899 individuals were included. No significant effects of nut-enriched interventions were found for body weight (p-ES = −0.04; 95%CI: −0.16 to 0.08), body mass index (p-ES = −0.05; 95%CI: −0.17 to 0.08), waist circumference (p-ES = −0.02; 95%CI: −0.20 to 0.15), or percent body fat (p-ES = −0.03; 95%CI: −0.28 to 0.21). Conclusion Nut consumption has no effect, positive or negative, on weight or adiposity parameters in people with T2D.
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