Regular nut consumption is associated with reduced CVD risk. Insight into nut consumption patterns provides important information to help design strategies to encourage intake. The present study aimed to describe nut consumption in terms of the percentage of consumers, mean grams eaten among the population and nut consumers, and to identify the predictors of nut consumption. Data from the 24 h dietary recalls of the 2008/09 New Zealand Adult Nutrition Survey (n 4721) were used to measure nut consumption. On the recall day, the percentages of consumers of whole nuts, nut butters and nuts from hidden sources were 6·9 % (n 240), 7·2 % (n 346) and 19·2 % (n 732), respectively (28·9 % (n 1167) combined (total)). The mean grams consumed by the population were relatively low for whole nuts (2·8 g/d), nut butters (0·9 g/d), nuts from hidden sources (1·5 g/d) and total nuts (5·2 g/d). Among consumers, the mean daily grams of whole nuts, nut butters, nuts from hidden sources and total nuts eaten were 40·3, 12·9, 7·8 and 17·9 g/d, respectively. Those aged 15–18 years had the lowest whole nut consumption, but had the highest nut butter consumption. The consumption of total nuts was positively associated with education and socio-economic status, while whole nut consumption was inversely associated with BMI. In conclusion, the low percentage of nut consumers is of concern and new strategies to increase nut consumption are required. Future public health initiatives should be mindful of these patterns and predictors. In particular, different forms of nuts may appeal to different age and socio-economic groups.

A limited number of studies have examined associations between nut consumption and nutrient intakes or diet quality. None has investigated these associations in the Southern Hemisphere. The purpose of this study was to examine associations between nut consumption and nutrient intakes among adult New Zealanders. Data from the 24-h recalls of 4721 participants from the cross-sectional 2008/09 New Zealand Adult Nutrition Survey (2008/09 NZANS) were used to determine whole nut intake and total nut intake from all sources as well as nutrient intakes. Regression models, both unadjusted and adjusted for potential confounders, were used to estimate differences in nutrient intakes between those consuming and those not consuming nuts. From adjusted models, compared with non-whole nut consumers, whole nut consumers had higher intakes of energy and percentage of energy from total fat, MUFA and PUFA, whereas percentage of energy from SFA and carbohydrate was lower (allP≤0·025). After the additional adjustment for energy intake, whole nut consumers had higher intakes of dietary fibre, vitamin E, folate, Cu, Mg, K, P and Zn (allP≤0·044), whereas cholesterol and vitamin B₁₂intakes were significantly lower (bothP≤0·013). Total nut consumption was associated with similar nutrient profiles as observed in whole nut consumers, albeit less pronounced. Nut consumption was associated with better nutrient profiles, especially a lower intake of SFA and higher intakes of unsaturated fats and a number of vitamins and minerals that could collectively reduce the risk for chronic disease, in particular for CVD.