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. 2014 Jan 8;9(1):e85133.
doi: 10.1371/journal.pone.0085133. eCollection 2014.

Tree Nuts Are Inversely Associated With Metabolic Syndrome and Obesity: The Adventist Health study-2

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Free PMC article

Tree Nuts Are Inversely Associated With Metabolic Syndrome and Obesity: The Adventist Health study-2

Karen Jaceldo-Siegl et al. PLoS One. .
Free PMC article

Abstract

Objective: To examine the relationships of nut consumption, metabolic syndrome (MetS), and obesity in the Adventist Health Study-2, a relatively healthy population with a wide range of nut intake.

Research design and methods: Cross-sectional analysis was conducted on clinical, dietary, anthropometric, and demographic data of 803 adults. MetS was defined according to the American Heart Association and the National Heart, Lung, and Blood Institute diagnostic criteria. We assessed intake of total nuts, tree nuts and peanuts, and also classified subjects into low tree nut/low peanut (LT/LP), low tree/high peanut (LT/HP), high tree nut/high peanut (HT/HP), and high tree/low peanut (HT/LP) consumers. Odds ratios were estimated using multivariable logistic regression.

Results: 32% of subjects had MetS. Compared to LT/LP consumers, obesity was lower in LT/HP (OR = 0.89; 95% CI = 0.53, 1.48), HT/HP (OR = 0.63; 95% CI = 0.40, 0.99) and HT/LP (OR = 0.54; 95% CI = 0.34, 0.88) consumers, p for trend = 0.006. For MetS, odds ratios (95% CI) were 0.77 (0.47, 1.28), 0.65 (0.42, 1.00) and 0.68 (0.43, 1.07), respectively (p for trend = 0.056). Frequency of nut intake (once/week) had significant inverse associations with MetS (3% less for tree nuts and 2% less for total nuts) and obesity (7% less for tree nuts and 3% less for total nuts).

Conclusions: Tree nuts appear to have strong inverse association with obesity, and favorable though weaker association with MetS independent of demographic, lifestyle and dietary factors.

Conflict of interest statement

Competing Interests: Joan Sabaté has served on the scientific advisory board of Paramount Farms. This does not alter the authors' adherence to all PLOS ONE policies on sharing data and materials, as detailed online in the guide for authors.

Figures

Figure 1
Figure 1. Prevalence (%) of metabolic syndrome and obesity according to type of nuts consumed.
Metabolic syndrome was defined according to the AHS/NHLBI diagnostic criteria ; obesity: BMI ≥30 kg/m2 . Chi-square test was used to determine differences in prevalence by type of nuts consumed: no fill (low tree nut/low peanut), vertical (low tree nut/high peanut), black fill (high tree nut/high peanut), horizontal (high tree nut/low peanut).

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