Maternal diet quality trajectories from pregnancy to 3.5 years postpartum and associated maternal factors.

PURPOSE: This study examined maternal diet quality trajectories from pregnancy to 3.5 years postpartum and associated maternal factors. METHODS: Data of 473 Australian women from the Healthy Beginnings Trial were used. A food frequency questionnaire collected dietary intake in pregnancy and 1, 2 and 3.5 years postpartum. Diet quality scores were calculated using the 2013 Dietary Guideline Index (DGI-2013) and RESIDential Environments Guideline Index (RDGI). Group-based trajectory modelling identified diet quality trajectories from pregnancy to 3.5 years postpartum. Multivariable logistic regression investigated factors associated with maternal diet quality trajectories. RESULTS: Two stable trajectories of low or high diet quality were identified for the DGI-2013 and RDGI. Women who smoked had higher odds of following the low versus the high DGI-2013 (OR 1.77; 95%CI 1.15, 2.75) and RDGI (OR 1.80; 95%CI 1.17, 2.78) trajectories, respectively. Women who attended university had lower odds of following the low versus the high DGI-2013 (OR 0.41; 95%CI 0.22, 0.76) and RDGI (OR 0.38; 95%CI 0.21, 0.70) trajectories, respectively. Women who were married had lower odds of following the low versus the high DGI-2013 trajectory (OR 0.39; 95%CI 0.17, 0.89), and women who were unemployed had higher odds of following the low versus the high RDGI trajectory (OR 1.78; 95%CI 1.13, 2.78). Maternal age, country of birth, household composition and pre-pregnancy body mass index were not associated with diet quality trajectories. CONCLUSION: Maternal diet quality trajectories remained stable from pregnancy to 3.5 years postpartum. Women who smoked, completed high school or less, were not married or were unemployed tended to follow low, stable diet quality trajectories.

Energy-dense dietary patterns high in free sugars and saturated fat and associations with obesity in young adults.

PURPOSE: To derive dietary patterns based on dietary energy density (DED), free sugars, SFA, and fiber and investigate association with odds of overweight/obesity in young adults. METHODS: Cross-sectional data from 625 young Australian adults (18-30 years) were used. Dietary patterns were derived using reduced rank regression based on dietary data from a smartphone food diary using DED, free sugars, SFA, and fiber density as response variables. Multivariable logistic regression was used to investigate associations between dietary patterns and odds of self-reported overweight/obesity (BMI ≥ 25 kg/m2). RESULTS: Two dietary patterns were identified (DP1 and DP2). DP-1 was positively correlated with DED, free sugars, and SFA, and inversely correlated with fiber density. It was characterized by higher sugar-sweetened beverages intake and lower vegetable intake, and associated with higher odds of overweight/obesity (OR: 1.22; 95% CI 1.05, 1.42). DP-2 was positively correlated with fiber density and free sugars, and inversely correlated with DED and SFA. It was characterized by higher sugar-sweetened beverages intake and lower non-lean red meat intake, and was not significantly associated with overweight/obesity. CONCLUSION: An energy-dense dietary pattern high in free sugars and SFA and low in fiber was associated with higher odds of obesity in young adults. These findings support dietary interventions that target reductions in energy-dense foods and sugar-sweetened beverages.

Individual, social-environmental and physical-environmental correlates of diet quality in young adults aged 18-30 years.

Many young adults eat a poor-quality diet. However, understanding of the social-ecological correlates of diet quality in young adults is limited. The aim of the present study was to examine the correlates of diet quality in a cohort of young Australian adults. Data from the cross-sectional Measuring EAting in everyday Life Study were used. Young adults (n = 625; 18-30 years; 73% female) were included if they provided dietary data over three or four non-consecutive days using 'FoodNow', a real-time food diary smartphone application. Diet quality was estimated using the 2013 Dietary Guidelines Index (DGI). Thirty correlates from three levels of the social-ecological framework were collected using an online questionnaire: individual (e.g., self-efficacy), social-environmental (e.g., social support) and physical-environmental (e.g., living situation). Linear regression analyses were used to examine associations between correlates and DGI. Six individual-level correlates were associated with DGI: perceived time scarcity (b = -0.664, CI: 1.160, -0.168), food insecurity (b = -0.962, CI: 1.746, -0.178), self-efficacy (b = 0.230, CI: 0.137, 0.323), being born in Australia (b = -3.165, CI: 5.521, -0.808), being employed in non-trade roles (b = -4.578, CI: 8.903, -0.252) and preparing a meals with vegetables daily (b = 4.576, CI: 1.652, 7.500). No social-environmental or physical-environmental correlates were associated with DGI. Overall, this study showed that young adults had a higher diet quality if they had higher self-efficacy, perceived themselves to be less time scarce and less food insecure, were born in Australia, were employed in non-trade roles and prepared a meal with vegetables daily. Healthy eating policies and interventions in young adults may benefit from targeting individual-level correlates.