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Background: Dietary simulation modeling can predict dietary strategies that may improve nutritional or health outcomes.Objectives: The study aims were to undertake a systematic review of simulation studies that model dietary strategies aiming to improve nutritional intake, body weight, and related chronic disease, and to assess the methodologic and reporting quality of these models.Methods: The Preferred Reporting Items for Systematic Reviews and Meta-Analyses guided the search strategy with studies located through electronic searches [Cochrane Library, Ovid (MEDLINE and Embase), EBSCOhost (CINAHL), and Scopus]. Study findings were described and dietary modeling methodology and reporting quality were critiqued by using a set of quality criteria adapted for dietary modeling from general modeling guidelines.Results: Forty-five studies were included and categorized as modeling moderation, substitution, reformulation, or promotion dietary strategies. Moderation and reformulation strategies targeted individual nutrients or foods to theoretically improve one particular nutrient or health outcome, estimating small to modest improvements. Substituting unhealthy foods with healthier choices was estimated to be effective across a range of nutrients, including an estimated reduction in intake of saturated fatty acids, sodium, and added sugar. Promotion of fruits and vegetables predicted marginal changes in intake. Overall, the quality of the studies was moderate to high, with certain features of the quality criteria consistently reported.Conclusions: Based on the results of reviewed simulation dietary modeling studies, targeting a variety of foods rather than individual foods or nutrients theoretically appears most effective in estimating improvements in nutritional intake, particularly reducing intake of nutrients commonly consumed in excess. A combination of strategies could theoretically be used to deliver the best improvement in outcomes. Study quality was moderate to high. However, given the lack of dietary simulation reporting guidelines, future work could refine the quality tool to harmonize consistency in the reporting of subsequent dietary modeling studies. [ABSTRACT FROM AUTHOR]

Background: Whether dietary indexes are associated with biomarkers of children's dietary intake is unclear. Objective: The study aim was to examine the relations between diet quality and selected plasma biomarkers of dietary intake and serum lipid profile. Methods: The study sample consisted of 130 children aged 4-13 y (mean ± SD: 8.6 ± 2.9 y) derived by using baseline data from an intervention study. The Dietary Guideline Index for Children and Adolescents (DGI-CA) comprises the following 11 components with age-specific criteria: 5 core food groups, whole-grain bread, reduced-fat dairy foods, discretionary foods (nutrient poor; high in saturated fat, salt, and added sugar), healthy fats/oils, water, and diet variety (possible score of 100). A higher score reflects greater compliance with dietary guidelines. Venous blood was collected for measurements of serum lipids, fatty acid composition, plasma carotenoids, lutein, lycopene, and α-tocopherol. Linear regression was used to examine the relation between DGI-CA score (independent variable) and concentrations of biomarkers by using the log-transformed variable (outcome), controlling for confounders. Results: DGI-CA score was positively associated (P < 0.05) with plasma concentrations of lutein (standardized β = 0.17), α-carotene (standardized β = 0.28), β-carotene (standardized β = 0.26), and n-3 (ω-3) fatty acids (standardized β = 0.51) and inversely associated with plasma concentrations of lycopene (standardized β = -0.23) and stearic acid (18:0) (standardized β = -0.22). No association was observed between diet quality and α-tocopherol, n--6 fatty acids, or serum lipid profile (all P > 0.05). Conclusion: Diet quality, conceptualized as adherence to national dietary guidelines, is cross-sectionally associated with plasma biomarkers of dietary exposure but not serum lipid profile. [ABSTRACT FROM AUTHOR]

Whereas the influence of pregnancy diet and milk feeding on children's health and development is well characterized, the role of early food intake and eating behaviors is largely unexplored. This study aimed to determine whether the degree of adherence to complementary feeding guidelines was associated with dietary, obesity, cardiovascular, and cognitive outcomes at 7-8 y of age. Data were analyzed from the Avon Longitudinal Study of Parents and Children using parent-completed dietary questionnaires at 6 mo of age to calculate a Complementary Feeding Utility Index score. Regression analysis was used to explore associations between the index score and dietary patterns derived via principal component analysis (n = 4326), body-mass index (BMI) (n = 4801), waist circumference (n = 4798), blood pressure (n = 4685), and lipids (n = 3232) measured at age 7 y; and intelligence quotient (IQ) measured at age 8 y (n = 4429) after adjustment for covariates. The index score was negatively associated with a "processed" dietary pattern (β = -0.16; 95% CI: -0.20, -0.13; P < 0.001) but positively associated with a "health conscious" dietary pattern [β = 0.18 (95% CI: 0.14, 0.21); P < 0.001]. A higher index score was also positively associated with total, verbal, and performance IQ scores at 8 y of age [β = 1.92 (95%CI: 1.38, 2.47); P < 0.001 for total IQ). The index score was weakly associated with waist circumference [β = -0.15 (95%CI: -0.31, -0.002); P = 0.046] and diastolic blood pressure [β = -0.24 (95%CI: -0.47, -0.01); P = 0.043] at 7 y of age but was not associated with BMI or other cardiovascular risk factors. These findings suggest that adherence to current complementary feeding guidelines may have implications for some, but not all, health and development outcomes in childhood. [ABSTRACT FROM AUTHOR]

The complementary feeding period is an important stage of child development. The study aim was to develop an index reflecting the degree of adherence to complementary feeding guidelines, evaluate its convergent validity, and explore associations with socio-demographic factors and dietary pattern scores in childhood. Data were analyzed from the Avon Longitudinal Study of Parents and Children (n = 6065) using parent-completed dietary questionnaires at 6 mo of age, socio-demographic information, and dietary patterns derived by principal component analysis at age 3 y. The Complementary Feeding Utility Index (CFUI) consists of 14 components: breastfeeding duration, feeding to appetite, timing of introduction to solids, exposure to iron-rich cereals, fruit and vegetable intake, exposure to high-fat/-salt/-sugar foods including sugary drinks, food texture, and meal/snack frequency. Regression analyses were undertaken to investigate associations between index scores, socio-demographic factors, food and nutrient intakes, and dietary pattern scores at age 3 y. Milk and food intake at 6 mo and nutrient intake at 8 mo of age varied across quintiles of index score in largely the expected directions. Associations were found among index score, maternal age, education, social class, maternal smoking history, and prepregnancy BMI. After adjustment for socio-demographic factors, the index score was associated with "processed" [β = -0.234 (95% CI = -0.260, -0.209)] and "healthy" [β = 0.185 (95% CI = 0.155, 0.215)] dietary pattern scores at age 3 y. The CFUI is able to discriminate across food intake, nutrient intake, and socio-demographic factors and is associated with later dietary patterns. [ABSTRACT FROM AUTHOR]

Diet quality indices reflect overall dietary patterns better than single nutrients or food groups. The study aims were to develop a measure of adherence with dietary guidelines applicable to child and adolescent populations in Australia and determine the association between index scores and food and nutrient intake, socio-demographic characteristics, and measures of adiposity. Data were analyzed from 4-to 16-y-old participants of the 2007 Australian Children's Nutrition and Physical Activity Survey (n = 3416). The Dietary Guideline Index for Children and Adolescents IDGI-CA) comprises 11 components: 5 core food groups, wholegrain bread, reduced-fat dairy foods, extra foods (nutrient poor and high in fat, salt, and added sugar), healthy fats/oils, water, and diet variety (possible score of 100). The index criteria were age specific. The mean DGI-CA score was low (53.6 ± 0.4), similar between boys and girls, and differed by age; the youngest children scored higher than the oldest children (P < 0.0001). Higher DGI-CA scores were associated with lower energy intake, energy density, total and saturated fat, and sugar intake; higher protein, carbohydrate, fiber, calcium, iron, vitamin C, vitamin A, folate, phosphorous, magnesium, zinc, and iodine intakes; and a higher polyunsaturated:saturated fat ratio (P < 0.0001). DGI-CA scores were associated with socio-economic characteristics and measures of family circumstance. Weak positive associations were observed between DGI-CA score and BMI or waist circumference Z-scores in the 4-to 10-y and 12- to 16-y age groups only. This index is the first validated index in Australia and one of the few international indices to describe the diet quality of children and adolescents. [ABSTRACT FROM AUTHOR]