Are fatty nuts a weighty concern? A systematic review and meta-analysis and dose-response meta-regression of prospective cohorts and randomized controlled trials.
Stephanie K NishiEffie ViguilioukSonia Blanco MejiaCyril W C KendallRichard P BazinetAnthony J HanleyElena M ComelliJordi Salas SalvadóDavid J A JenkinsJohn L SievenpiperPublished in: Obesity reviews : an official journal of the International Association for the Study of Obesity (2021)
Nuts are recommended for cardiovascular health, yet concerns remain that nuts may contribute to weight gain due to their high energy density. A systematic review and meta-analysis of prospective cohorts and randomized controlled trials (RCTs) was conducted to update the evidence, provide a dose-response analysis, and assess differences in nut type, comparator and more in subgroup analyses. MEDLINE, EMBASE, and Cochrane were searched, along with manual searches. Data from eligible studies were pooled using meta-analysis methods. Interstudy heterogeneity was assessed (Cochran Q statistic) and quantified (I2 statistic). Certainty of the evidence was assessed by Grading of Recommendations Assessment, Development, and Evaluation (GRADE). Six prospective cohort studies (7 unique cohorts, n = 569,910) and 86 RCTs (114 comparisons, n = 5873) met eligibility criteria. Nuts were associated with lower incidence of overweight/obesity (RR 0.93 [95% CI 0.88 to 0.98] P < 0.001, "moderate" certainty of evidence) in prospective cohorts. RCTs presented no adverse effect of nuts on body weight (MD 0.09 kg, [95% CI -0.09 to 0.27 kg] P < 0.001, "high" certainty of evidence). Meta-regression showed that higher nut intake was associated with reductions in body weight and body fat. Current evidence demonstrates the concern that nut consumption contributes to increased adiposity appears unwarranted.
Keyphrases
- weight gain
- body weight
- body mass index
- randomized controlled trial
- systematic review
- birth weight
- weight loss
- insulin resistance
- metabolic syndrome
- meta analyses
- physical activity
- risk factors
- single cell
- electronic health record
- emergency department
- clinical trial
- study protocol
- data analysis
- big data
- molecular dynamics
- case control