This study investigates how dietary patterns and scores are associated with subsequent BMI and waist:height ratio (WHtR), and how BMI and WHtR are associated with subsequent dietary patterns or scores, from 2–3 to 10–11 and 4–5 to 14–15 years of age. In the Longitudinal Study of Australian Children, height, weight and waist circumference were measured biennially in children, yielding BMI z-score and WHtR. Parents, latterly children, reported frequency of child consumption of 12–16 food/drink items during the previous 24 h. At each wave, we empirically derived dietary patterns using factor analyses, and dietary scores based on the 2013 Australian Dietary Guidelines. We used structural-equation modelling to investigate cross-lagged associations (n 1972–2882) between diet and body composition measures in univariable and multivariable analyses. Dietary scores/patterns did not consistently predict WHtR and BMI z-score in the next wave, nor did BMI z-score and WHtR consistently predict diet in the next wave. The few associations seen were weak and often in the opposite direction to that hypothesised. The largest effect, associated with each standard deviation increase in BMI in wave 5 of the K cohort (age 12–13 years), was a 0·06 standard deviation estimated mean increase in dietary score (higher quality diet) in the subsequent wave (95 % CI 0·02, 0·11, P=0·003). Associations between dietary patterns/scores and body composition were not strongly evident in either direction. Better quantitative childhood dietary tools feasible for large-scale administration are needed to quantify how dietary patterns, energy intake and anthropometry co-develop.

A posteriori healthier dietary patterns and several nutrients have been associated with lower risks of depression in various studies; however, evidence is lacking with regard to the prospective association between adherence to nutritional recommendations (food-based and nutrient-based recommendations) and incident depression or depressive symptoms. In this study, we investigate such associations in the NutriNet Santé cohort. The study sample included 26 225 participants (aged 18–86 years) who were initially free of depressive symptoms. Adherence to nutritional recommendations was measured by four scores namely modified French Programme National Nutrition Santé-Guideline Score (mPNNS-GS), Alternative Healthy Eating Index-2010 (AHEI-2010), Probability of Adequate Nutrient Intake Dietary Score (PANDiet) and Diet Quality Index-International (DQI-I), using non-consecutive dietary record data during the first 2 years of follow-up (mean number of recording days=8, sd 2). Depressive symptoms were defined by a Center for Epidemiologic Studies Depression Scale (CES-D) score ≥17 for men and ≥23 for women. We used Cox proportional hazards models to estimate hazard ratios and 95 % CI, modelling the dietary scores as standardised continuous variables and as tertiles. Over a mean follow-up of 6 years, we identified 2166 incident cases of depressive symptoms. All dietary scores with the exception of the AHEI-2010 were significantly inversely associated with incident depressive symptoms. In the fully adjusted model, an increase of 1 sd in the mPNNS-GS, PANDiet and DQI-I was, respectively, associated with an 8 % (95 % CI 4, 13), 5 % (95 % CI 1, 9) and 9 % (95 % CI 5, 13) reduction in the risk of depressive symptoms. Overall, these findings suggest that diet in accordance with national or international guidelines could have beneficial effects with regard to mental health.

This study aimed to derive and compare longitudinal trajectories of dietary scores and patterns from 2–3 to 10–11 years and from 4–5 to 14–15 years of age. In waves two to six of the Baby (B) Cohort and one to six of the Kindergarten (K) Cohort of the population-based Longitudinal Study of Australian Children, parents or children reported biennially on the study child’s consumption of twelve to sixteen healthy and less healthy food or drink items for the previous 24 h. For each wave, we derived a dietary score from 0 to 14, based on the 2013 Australian Dietary Guidelines (higher scores indicating healthier diet). We then used factor analyses to empirically derive dietary patterns for separate waves. Using group-based trajectory modelling, we generated trajectories of dietary scores and empirical patterns in 4504 B and 4640 K Cohort children. Four similar trajectories of dietary scores emerged for the B and K Cohorts, containing comparable proportions of children in each cohort: ‘never healthy’ (8·8 and 11·9 %, respectively), ‘moderately healthy’ (24·0 and 20·7 %), ‘becoming less healthy’ (16·6 and 27·3 %) and ‘always healthy’ (50·7 and 40·2 %). Deriving trajectories based on dietary patterns, rather than dietary scores, produced similar findings. For ‘becoming less healthy’ trajectories, dietary quality appeared to worsen from 7 years of age in both cohorts. In conclusion, a brief dietary measure administered repeatedly across childhood generated robust, nuanced dietary trajectories that were replicable across two cohorts and two methodologies. These trajectories appear ideal for future research into dietary determinants and health outcomes.

Chronic low-grade inflammation has been recognised as a key underlying mechanism for several chronic diseases, including cancer and CVD. Nutrition represents a host of key modifiable factors that influence chronic inflammation. Dietary inflammatory scores were developed to assess the inflammatory potential of the diet and have been associated with inflammatory biomarkers in cross-sectional and short-term longitudinal studies. The objective of this study was to investigate the relationship between the dietary inflammatory index (DII), the alternate dietary inflammatory index (ADII) and long-term C-reactive protein (CRP). We also tested age as an effect modifier of this relationship. Participants were selected in the Supplémentation en Vitamines et Minéraux Antioxydants study, which included subjects aged 45–60 years old for men and 35–60 years old for women in 1994. Participants with ≥3 24-h dietary records at baseline and a CRP measurement at the 12-year follow-up evaluation were included in the present study (n 1980). The relationships between the DII and ADII and elevated CRP (>3 mg/l) were investigated using logistic multivariable regression. All analyses were stratified by age (cut-off at median age=50 years old). The overall associations between DII and ADII and long-term CRP were not statistically significant (Ptrend across tertiles=0·16 for DII and 0·10 for ADII). A quantitative interaction was found between ADII score and age (P=0·16 for ADII, 0·36 for DII). In stratified analyses the ADII was significantly prospectively associated with CRP only in younger participants: OR tertile 3 v. tertile 1: 1·79 (95 % CI 1·04, 3·07). Pro-inflammatory diets may have long-term effect on CRP only in younger subjects.

Although nutrition has been advocated as a major determinant of healthy ageing (HA), studies investigating the link between dietary quality and HA are scarce. We investigated the association between adherence to French food-based and nutrient-based guidelines at midlife, as assessed by three dietary scores, and HA. HA was assessed in 2007–2009, among 2329 participants of the SUpplémentation en Vitamines et Minéraux AntioXydants study aged 45–60 years at baseline (1994–1995) and initially free of diabetes, CVD and cancer. HA was defined as not developing any major chronic disease, good physical and cognitive functioning, no limitations in instrumental activities of daily living, no depressive symptoms, no health-related limitations in social life, good overall self-perceived health and no function-limiting pain. Data from repeated 24-h dietary records provided at baseline permitted the computation of the modified French Programme National Nutrition Santé-Guideline Score (mPNNS-GS), the Probability of Adequate Nutrient Intake Dietary Score (PANDiet) and the Diet Quality Index-International (DQI-I). Associations of these scores with HA were assessed by logistic regression. In 2007–2009, 42 % of men and 36 % of women met our criteria of HA. After adjustment for potential confounders, higher scores of the mPNNS-GS (ORquartile 4 v. quartile 1 1·44; 95 % CI 1·10, 1·87; Ptrend=0·006) and the PANDiet (1·28; 95 % CI 1·00, 1·64; Ptrend=0·03) were associated with higher odds of HA. We observed no association between DQI-I and HA. In conclusion, this study suggests a beneficial long-term role of high adherence to both food-based and nutrient-based French dietary guidelines for a HA process.