Dietary patterns, brain morphology and cognitive performance in children: Results from a prospective population-based study.

Dietary patterns in childhood have been associated with child neurodevelopment and cognitive performance, while the underlying neurobiological pathway is unclear. We aimed to examine associations of dietary patterns in infancy and mid-childhood with pre-adolescent brain morphology, and whether diet-related differences in brain morphology mediate the relation with cognition. We included 1888 and 2326 children with dietary data at age one or eight years, respectively, and structural neuroimaging at age 10 years in the Generation R Study. Measures of brain morphology were obtained using magnetic resonance imaging. Dietary intake was assessed using food-frequency questionnaires, from which we derived diet quality scores based on dietary guidelines and dietary patterns using principal component analyses. Full scale IQ was estimated using the Wechsler Intelligence Scale for Children-Fifth Edition at age 13 years. Children with higher adherence to a dietary pattern labeled as 'Snack, processed foods and sugar' at age one year had smaller cerebral white matter volume at age 10 (B = -4.3, 95%CI -6.9, -1.7). At age eight years, higher adherence to a 'Whole grains, soft fats and dairy' pattern was associated with a larger total brain (B = 8.9, 95%CI 4.5, 13.3), and larger cerebral gray matter volumes at age 10 (B = 5.2, 95%CI 2.9, 7.5). Children with higher diet quality and better adherence to a 'Whole grains, soft fats and dairy' dietary pattern at age eight showed greater brain gyrification and larger surface area, clustered primarily in the dorsolateral prefrontal cortex. These observed differences in brain morphology mediated associations between dietary patterns and IQ. In conclusion, dietary patterns in early- and mid-childhood are associated with differences in brain morphology which may explain the relation between dietary patterns and neurodevelopment in children.

Associations of Sex Steroids and Sex Hormone-Binding Globulin with Non-Alcoholic Fatty Liver Disease: A Population-Based Study and Meta-Analysis.

BACKGROUND: Prior studies have reported inconsistent results or less well-explored associations between sex hormones and non-alcoholic fatty liver disease (NAFLD). Here, we aimed to investigate the associations of NAFLD with sex steroids and sex hormone-binding globulin (SHBG) in the population-based study and conduct a comprehensive systematic review and meta-analysis of all published observational studies. METHODS: Analyses included 755 men and 1109 women with available data on sex steroids, SHBG, and ultrasound-based NAFLD from the Rotterdam Study. Multivariable regression models were used to examine the associations. Additionally, we searched five databases from inception to 1 April 2022 and performed a systematic review and meta-analysis. Random-effects (DerSimonian-Laird) method was used for meta-analysis, odds ratios (ORs) were calculated for the effect estimate, subgroup and leave-one-out sensitivity analyses were conducted, and meta-regression was performed to explore the pooled statistics with high heterogeneity. RESULTS: In the Rotterdam Study, lower levels of SHBG were associated with NAFLD in both sexes, while lower testosterone was associated with NAFLD only among women. Similarly, the meta-analysis of 16 studies indicated no sex-specific association between SHBG and NAFLD (men: OR = 0.37, 95%CI 0.21-0.53; women: OR = 0.40, 95%CI 0.21-0.60), yet there was a sex-specific association between testosterone and NAFLD (men: OR = 0.59, 95%CI 0.42-0.76; women: OR = 1.06, 95%CI 0.68-1.44). Moreover, men with NAFLD had lower estradiol levels than those without NAFLD. CONCLUSIONS: Lower SHBG levels were associated with NAFLD in both sexes, but testosterone levels were associated in a sex-specific manner. In addition, our results showed estradiol with the potential as a protective factor for NAFLD in healthy men.

Food-Approach Eating Behaviors and Brain Morphology: The Generation R Study.

Food-approach eating behaviors are associated with an increased risk of developing overweight/obesity and binge-eating disorder, while obesity and binge-eating disorder have also been linked with altered brain morphology in adults. To understand these associations, we examined the association of food-approach eating behaviors during childhood with adolescents' brain morphology. The sample included 1,781 adolescents with assessments of eating behaviors at ages 4 and 10 years and brain imaging data at 13 years from a large, population-based cohort. Food approach eating behaviors (enjoyment of food, emotional overeating, and food responsiveness) were assessed using the Child Eating Behavior Questionnaire. Additionally, we assessed binge eating symptoms using two items from the Development and Well-Being Assessment at 13 years of age. Adolescents participated in an MRI procedure and measures of brain morphology, including cerebral white, cerebral gray and subcortical gray matter volumes, were extracted from T1-weighted images processed using FreeSurfer. Enjoyment of food and food responsiveness at the age of 4 and 10 years were positively associated with cerebral white matter and subcortical gray matter volumes at age 13 years (e.g., enjoyment of food at 4 years and cerebral white matter: ß = 2.73, 95% CI 0.51, 4.91). Enjoyment of food and food responsiveness at 4 years of age, but not at 10 years, were associated with a larger cerebral gray matter volume at 13 years of age (e.g., enjoyment of food at 4 years: ß = 0.24, 95% CI 0.03, 0.45). No statistically significant associations were found for emotional overeating at both ages and brain measurements at 13 years of age. post-hoc analyses showed no associations of food-approach eating behaviors with amygdala or hippocampus. Lastly, we did not observe significant associations of binge-eating symptoms with global brain measurements and a priori-defined regions of interest, including the right frontal operculum, insular and orbitofrontal cortex. Our findings support an association between food-approach eating behaviors, especially enjoyment of food and food responsiveness, and brain morphology in adolescence. Our findings add important knowledge to previous studies that were mostly conducted in adults, by suggesting that the eating behavior-brain link may be visible earlier in life. Further research is needed to determine causality.

Child Autistic Traits, Food Selectivity, and Diet Quality: A Population-Based Study.

BACKGROUND: Children with Autism Spectrum Disorders (ASDs) tend to be selective in their food intake, which may compromise their diet quality. While ASD diagnoses capture severe levels of impairment, autistic traits vary on a continuum throughout the population. Yet, little is known about how autistic traits relate to diet quality at the population level. OBJECTIVES: This study examines the association between autistic traits in early childhood and diet quality in mid-childhood and explores the mediating role of food selectivity. METHODS: Participants were children (n = 4092) from the population-based Generation R Study. Parents reported their child's autistic traits at 1.5, 3, and 6 years; food selectivity at 4 years; and food intake at 8 years, from which a diet quality score was derived. Associations of autistic traits and the autistic trait trajectory (identified using Latent Class Growth Modelling) with diet quality were examined using multiple linear regression models. The indirect effect of food selectivity in the association between autistic traits at 1.5 years and diet quality was examined using mediation analysis. RESULTS: Autistic traits were associated with diet quality (e.g., 1.5 years: ß = -0.09; 95% CI: -0.13 to -0.06). Two classes captured the autistic trait trajectories from 1.5 to 6 years: children with "low and stable" (95%) and "high and increasing" (5%) mean scores. Children in the high and increasing group had poorer diet quality than those in the low and stable group (ß = -0.28; 95% CI: -0.44 to -0.11). Food selectivity mediated the association between autistic traits at 1.5 years and diet quality at 8 years (ßindirect = -0.03; 95% CI: -0.03 to -0.02). CONCLUSIONS: Autistic traits in early childhood are associated with poorer diet quality in mid-childhood, and food selectivity appears to mediate this association. Interventions intended to optimize nutrition in children with elevated autistic traits may integrate behavioral strategies to support parents' responding to their child's food selectivity.

Development of a Diet Quality Screener for Global Use: Evaluation in a Sample of US Women.

BACKGROUND: Valid and efficient tools for measuring and tracking diet quality globally are lacking. OBJECTIVE: The objective of the study was to develop and evaluate a new tool for rapid and cost-efficient diet quality assessment. DESIGN: Two screener versions were designed using Prime Diet Quality Score (PDQS), one in a 24-hour recall (PDQS-24HR) and another in a 30-day (PDQS-30D) food frequency format. Participants completed two 24-hour diet recalls using the Automated Self-Administered 24-hour Dietary Assessment Tool (ASA24) and 2 web-based diet quality questionnaires 7 to 30 days apart in April and May 2019. Both dichotomous/trichotomous and granular scoring versions were tried for each screener. PARTICIPANTS/SETTING: The study included 290 nonpregnant, nonlactating US women (mean age ± standard deviation 41 ± 11 years) recruited via Amazon Mechanical Turk. MAIN OUTCOME MEASURES: The main outcome measures were Spearman rank correlation coefficients and linear regression beta-coefficients between ASA24 nutrient intakes from foods and beverages and PDQS values. STATISTICAL ANALYSES PERFORMED: The Spearman rank correlation and linear regression were used to evaluate associations of the PDQS values with ASA24 nutrient intakes from food, both crude and energy-adjusted. Correlations were de-attenuated for within-person variation in 24-hour recalls. Wolfe's test was used to compare correlations of the 2 screening instruments (PDQS-24HR and PDQS-30D) with the ASA24. Associations between the ASA24 Healthy Eating Index 2015 and the PDQS values were also evaluated. RESULTS: Positive, statistically significant rank correlations between the PDQS-24HR values and energy-adjusted nutrients from ASA24 for fiber (r = 0.53), magnesium (r = 0.51), potassium (r = 0.48), vitamin E (r = 0.40), folate (r = 0.37), vitamin C (r = 0.36), vitamin A (r = 0.33), vitamin B6 (r = 0.31), zinc (r = 0.25), and iron (r = 0.21); and inverse correlations for saturated fatty acids (r = -0.19), carbohydrates (r = -0.22), and added sugar (r = -0.34) were observed. Correlations of nutrient intakes assessed by ASA24 with the PDQS-30D were not significantly different from those with the PDQS-24HR. Positive, statistically significant correlations between the ASA24 Healthy Eating Index 2015 and the PDQS-24HR (r = 0.61) and the PDQS-30D (r = 0.60) were also found. CONCLUSIONS: The results of an initial evaluation of the PDQS-based diet quality screeners are promising. Correlations and associations between the PDQS values and nutrient intakes were of acceptable strength and in the expected directions, and the PDQS values had moderately strong correlations with the total Healthy Eating Index 2015 score. Future work should include evaluating the screeners in other population groups, including men, and piloting it across low- and middle-income countries.

Associations of family feeding and mealtime practices with children's overall diet quality: Results from a prospective population-based cohort.

Food parenting practices are considered to have a key influence on children's dietary habits, with potential long term effects. In this study, we explored the associations of parental feeding practices and family mealtime practices in early childhood with children's overall diet quality at school age among 3626 parents and their children in a population-based cohort study in Rotterdam, the Netherlands. Parental feeding practices (monitoring, pressure to eat, and restriction) and family mealtime practices (meal skipping behaviors and family meal frequency) at age 4 years were assessed by parental questionnaires. Children's dietary intake was assessed at age 8 years using a food-frequency questionnaire, from which diet quality scores (range 0-10) were calculated, reflecting adherence to age-specific dietary guidelines. Using multivariable linear regression models, we found that monitoring was associated with higher diet quality of children (ß = 0.12; 95%CI: 0.08, 0.16), whereas pressure to eat was associated with lower diet quality (ß = -0.08; 95%CI: -0.12, -0.04)), both independent of child BMI. Restriction was associated with a higher child diet quality, but this association was explained by child BMI. As compared to children who did not skip meals, children who skipped meals had a lower diet quality (e.g. breakfast skipping: ß = -0.32; 95%CI: -0.48, -0.17). Similarly, children who had less frequent family meals had a lower diet quality compared with those who had family meals every day (e.g. family dinner ≤2 days/week: ß = -0.37; 95%CI: -0.60, -0.14). These associations were not driven by single food groups. In conclusion, parental monitoring and family mealtime routines in early childhood may provide a supportive food environment that promotes children's overall diet quality. Longitudinal studies with repeated measurements are needed to replicate our findings.

Associations of parents' use of food as reward with children's eating behaviour and BMI in a population-based cohort.

BACKGROUND: Parents' use of food as reward has been linked to children's dietary intake, but the association with children's eating behaviour and overweight risk is less clear. OBJECTIVES: To examine the temporal association of using food as reward with eating behaviour, body mass index (BMI) and weight status of children. METHODS: Participants were 3642 children of the population-based Generation R Study in the Netherlands (8.3% overweight/obese). Repeated assessments were collected at child ages 4 and 9 years, including measured anthropometrics and parent reports on feeding practises and eating behaviour. RESULTS: Linear regressions and cross-lagged models indicated that parents' use of food as reward at child age 4 years predicted Emotional Overeating and Picky Eating at age 9 years. Reversely, higher Emotional Overeating and Food Responsiveness scores were associated with more use of food as reward over time. Using food as reward was not associated with children's satiety response, BMI or overweight risk. CONCLUSIONS: A vicious cycle may appear in which children who display food approach behaviour are rewarded with food by their parents, which in turn might contribute to the development of unhealthy eating habits (emotional eating, fussiness). These findings warrant further research, to facilitate evidence-based recommendations for parents.

Uptake of maternal care and childhood immunization among ethnic minority and Han populations in Sichuan province: a study based on the 2003, 2008 and 2013 health service surveys.

BACKGROUND: China has made remarkable progress in maternal and child health (MCH) over the last thirty years, but socio-economic inequalities persist. Ethnicity has become an important determinant of poor MCH outcomes, but little rigorous analytical work has been done in this area. To understand the socio-economic factors that explain ethnic variation in uptake of MCH care, we report the findings from an analysis in Sichuan province. METHODS: We linked data from the 2003, 2008 and 2013 National Health Service Surveys in Sichuan Province. The ethnic disparities in uptake of maternal care (completing 5 antenatal visits, giving birth in hospital and receiving a caesarean section) and childhood immunization (Bacillus Calmette Guerin (BCG), three doses of diphtheria (DPT) and measles immunization) were examined by geographical (Han district/county vs. ethnic minority county) and individual-based (Han women/children vs. ethnic minority women/children) comparisons. We also examined variation by distance to township and county hospitals, women's education, parity and age using weighted multilevel Poisson regressions with random intercept at district/county level. RESULTS: Ethnic inequalities in maternal care were marked, both at the geographical (district/county) and the individual level. The % of births in hospital was 90.7% among women in Han districts, compared to 83.3% among women living in Han counties (crude RR 0.93; 95% CI 0.75-1.15), 53.8% among Han women living in ethnic minority counties (crude RR 0.57; 95% CI 0.36-0.93), and 13.5% among ethnic minority women living in ethnic minority counties (crude RR 0.18; 95% CI 0.06-0.57). Adjusting the analysis for survey year, education, parity and distance to county level hospital weakened the association between geographical/individual ethnicity and uptake of maternity care, but associations remained remarkably strong. Coverage of childhood immunization was much higher than uptake of maternity care, and inequalities by ethnicity were much less pronounced. CONCLUSION: Lessons can be learned from China's successful immunization programme to further reduce inequalities in access to maternity care among ethnic minority populations in remote areas. Bringing the services closer to the women's homes and strengthening health promotion from the township to the village level may encourage more women to seek antenatal care and give birth in hospital.