The temporal relationship between parental concern of overeating and childhood obesity considering genetic susceptibility: longitudinal results from the IDEFICS/I.Family study.

BACKGROUND: Many genes and molecular pathways are associated with obesity, but the mechanisms from genes to obesity are less well known. Eating behaviors represent a plausible pathway, but because the relationships of eating behaviors and obesity may be bi-directional, it remains challenging to resolve the underlying pathways. A longitudinal approach is needed to assess the contribution of genetic risk during the development of obesity in childhood. In this study we aim to examine the relationships between the polygenic risk score for body mass index (PRS-BMI), parental concern of overeating and obesity indices during childhood. METHODS: The IDEFICS/I.Family study is a school-based multicenter pan-European cohort of children observed for 6 years (mean ± SD follow-up 5.8 ± 0.4). Children examined in 2007/2008 (wave 1) (mean ± SD age: 4.4 ± 1.1, range: 2-9 years), in 2009/2010 (wave 2) and in 2013/2014 (wave 3) were included. A total of 5112 children (49% girls) participated at waves 1, 2 and 3. For 2656 children with genome-wide data we constructed a PRS based on 2.1 million single nucleotide polymorphisms. Z-score BMI and z-score waist circumference (WC) were assessed and eating behaviors and relevant confounders were reported by parents via questionnaires. Parental concern of overeating was derived from principal component analyses from an eating behavior questionnaire. RESULTS: In cross-lagged models, the prospective associations between z-score obesity indices and parental concern of overeating were bi-directional. In mediation models, the association between the PRS-BMI and parental concern of overeating at wave 3 was mediated by baseline z-BMI (ß = 0.16, 95% CI: 0.10, 0.21) and baseline z-WC (ß = 0.17, 95% CI: 0.11, 0.23). To a lesser extent, baseline parental concern of overeating also mediated the association between the PRS-BMI and z-BMI at wave 3 (ß = 0.10, 95% CI: 0.07, 0.13) and z-WC at wave 3 (ß = 0.09, 95% CI: 0.07, 0.12). CONCLUSIONS: The findings suggest that the prospective associations between obesity indices and parental concern of overeating are likely bi-directional, but obesity indices have a stronger association with future parental concern of overeating than vice versa. The findings suggest parental concern of overeating as a possible mediator in the genetic susceptibility to obesity and further highlight that other pathways are also involved. A better understanding of the genetic pathways that lead to childhood obesity can help to prevent weight gain. TRIAL REGISTRATION: Registry number: ISRCTN62310987 Retrospectively registered 17 September 2018.

FinnTwin16: A Longitudinal Study from Age 16 of a Population-Based Finnish Twin Cohort.

The purpose of this review is to provide a detailed and updated description of the FinnTwin16 (FT16) study and its future directions. The Finnish Twin Cohort comprises three different cohorts: the Older Twin Cohort established in the 1970s and the FinnTwin12 and FT16 initiated in the 1990s. FT16 was initiated in 1991 to identify the genetic and environmental precursors of alcoholism, but later the scope of the project expanded to studying the determinants of various health-related behaviors and diseases in different stages of life. The main areas addressed are alcohol use and its consequences, smoking, physical activity, overall physical health, eating behaviors and eating disorders, weight development, obesity, life satisfaction and personality. To date, five waves of data collection have been completed and the sixth is now planned. Data from the FT16 cohort have contributed to several hundred studies and many substudies, with more detailed phenotyping and collection of omics data completed or underway. FT16 has also contributed to many national and international collaborations.

Patients With Celiac Disease Reported Higher Consumption of Added Sugar and Total Fat Than Healthy Individuals.

OBJECTIVES: The aim of the study was to compare the dietary pattern between subjects with celiac disease (CD) (cases) and subjects without (healthy controls) CD. METHODS: A case-control design study was conducted. A total of 98 subjects with CD (age 10-23 years) were matched by age, sex, and body mass index with 98 nonceliac participants. A nonconsecutive 3-day food record was completed to assess energy, nutrient, and food intake and evaluate the participant's adherence to recommendations. Differences in energy, nutrients, food consumption, and compliance with general recommendations between cases and control groups were assessed by Student t test. Pearson chi-squared test was used to compare categorical variables. Sociodemographic, personal, and family history data were collected. RESULTS: Compared with the control group, the cases with CD reported a significantly higher consumption of added sugar (P < 0.001) and total fat (P < 0.017). Mean fiber consumption was below the nutritional recommendations in both groups. Participants with CD consumed significantly lower amounts of foods rich in starch (P < 0.001) and higher amounts of foods rich in protein such as meat, fish, and eggs (P = 0.007). Subjects with CD showed a significantly lower percentage of adherence to recommendations for folic acid (53.2 vs 70.5; P < 0.001), calcium (49.0 vs 56.3; P = 0.025), iron (57.4 vs 78.0; P < 0.001), and magnesium (50.0 vs 63.9; P < 0.001). CONCLUSIONS: The subjects with CD showed a more unbalanced diet than controls in terms of added sugars, total fat, and micronutrient consumption.

Plant-based dietary patterns and genetic susceptibility to obesity in the CARTaGENE cohort.

OBJECTIVE: The study's objective was to examine whether adherence to three plant-based dietary indices (PDIs) mediated or moderated genetic susceptibility to obesity. METHODS: Baseline participants were 7037 adults (57% women, aged 55.6 ± 7.7 years) from the CARTaGENE cohort of Quebec adults. Two polygenic risk scores for BMI (PRS-BMI), 92 single-nucleotide polymorphisms and 2 million single-nucleotide polymorphisms, and three plant-based scores were calculated (overall, healthy, and unhealthy). Follow-up participants were 2258 adults with data on obesity outcomes, measured 6 years later. General linear models were used to examine the relationships between PRSs and PDI scores on obesity outcomes. Causal mediation analyses were conducted to assess mediation and interaction models. RESULTS: The overall- and healthy-PDIs and PRSs were significantly associated with obesity outcomes. Adherence to PDIs did not mediate or moderate genetic susceptibility to obesity. Associations between PRSs and obesity outcomes were partly mediated by meat intake cross-sectionally and whole grains intake among males both cross-sectionally and longitudinally. Higher meat intake had a positive association with obesity outcomes, whereas higher whole grains intake had an inverse association. CONCLUSIONS: These findings suggest that components of a plant-based diet and a shift away from animal products, specifically meat, might be beneficial for nutrition interventions, particularly among individuals with higher genetic risk of obesity.

Eating Behaviours and Dietary Intake in Children and Adolescents: A Systematic Review.

PURPOSE OF REVIEW: This systematic review aimed to examine existing evidence related to associations between eating behaviours and dietary intake in children and adolescents, with a focus on the Children Eating Behaviour Questionnaire (CEBQ) and the Dutch Eating Behaviour Questionnaire (DEBQ) as assessment tools. RECENT FINDING: We conducted a systematic review following PRISMA guidelines. We included observational and interventional studies published in English, Spanish, or Portuguese, that evaluated the association between eating behaviours and food and beverage intake. Thirteen studies from nine countries met the inclusion criteria, with sample sizes ranging from 62 to 4,914 individuals aged 2 to 16 years-old. Ten studies used the CEBQ, and three used the DEBQ. Our retrieved studies showed that children and adolescents engaging in food approach behaviours tend to consume foods rich in sugar and fats. However, we observed a higher consumption of fruits and vegetables. On the other hand, children and adolescents with lower engagement to food avoidant behaviours, generally exhibited a lower overall food consumption, except for snacks, which they consumed at a higher rate. This systematic review suggests that eating behaviours play an important role in shaping dietary intake. Nevertheless, due to the heterogeneity related to eating behaviours and diet intake, it highlights the need for further research to understand these complex relationships to develop effective interventions for promoting healthy eating habits in children and adolescents.

The genetic architecture of the association between eating behaviors and obesity: combining genetic twin modeling and polygenic risk scores.

BACKGROUND: Obesity susceptibility genes are highly expressed in the brain suggesting that they might exert their influence on body weight through eating-related behaviors. OBJECTIVES: To examine whether the genetic susceptibility to obesity is mediated by eating behavior patterns. METHODS: Participants were 3977 twins (33% monozygotic, 56% females), aged 31-37 y, from wave 5 of the FinnTwin16 study. They self-reported their height and weight, eating behaviors (15 items), diet quality, and self-measured their waist circumference (WC). For 1055 twins with genome-wide data, we constructed a polygenic risk score for BMI (PRSBMI) using almost 1 million single nucleotide polymorphisms. We used principal component analyses to identify eating behavior patterns, twin modeling to decompose correlations into genetic and environmental components, and structural equation modeling to test mediation models between the PRSBMI, eating behavior patterns, and obesity measures. RESULTS: We identified 4 moderately heritable (h2 = 36-48%) eating behavior patterns labeled "snacking," "infrequent and unhealthy eating," "avoidant eating," and "emotional and external eating." The highest phenotypic correlation with obesity measures was found for the snacking behavior pattern (r = 0.35 for BMI and r = 0.32 for WC; P < 0.001 for both), largely due to genetic factors in common (bivariate h2 > 70%). The snacking behavior pattern partially mediated the association between the PRSBMI and obesity measures (ßindirect = 0.06; 95% CI: 0.02, 0.09; P = 0.002 for BMI; and ßindirect = 0.05; 95% CI: 0.02, 0.08; P = 0.003 for WC). CONCLUSIONS: Eating behavior patterns share a common genetic liability with obesity measures and are moderately heritable. Genetic susceptibility to obesity can be partly mediated by an eating pattern characterized by frequent snacking. Obesity prevention efforts might therefore benefit from focusing on eating behavior change, particularly in genetically susceptible individuals.

Development of a Food-Based Diet Quality Score from a Short FFQ and Associations with Obesity Measures, Eating Styles and Nutrient Intakes in Finnish Twins.

We constructed a food-based diet quality score (DQS) and examined its association with obesity measures, eating styles and nutrient intakes. Participants were 3592 individuals (764 dizygotic [DZ] and 430 monozygotic [MZ] twin pairs) from the FinnTwin16 study. The DQS (0-12 points) was constructed from a short 14 item food frequency questionnaire. Anthropometric measures and eating styles were self-reported. Nutrient intakes were calculated from food diaries completed in a subsample of 249 individuals (45 same-sex DZ and 60 MZ twin pairs). Twins were analyzed both as individuals and as twin pairs. The DQS was inversely associated with body mass index (ß = -0.12, per one-unit increase in DQS, p < 0.001), waist circumference (ß = -0.34, p < 0.001), obesity (odds ratio [OR]: 0.95, p = 0.004) and abdominal obesity (OR: 0.88, p < 0.001), independent of sex, age, physical activity and education. A higher DQS was associated with health-conscious eating, having breakfast, less snacking, fewer evening meals, and a higher frequency and regularity of eating. The DQS was positively correlated with the intakes of protein, fiber and magnesium and negatively correlated with the intakes of total fat, saturated fat and sucrose. Within twin pairs, most of the associations between the DQS with eating styles and some nutrients remained, but the DQS was not associated with obesity measures within twin pairs. The DQS is an easy-to-use tool for ranking adults according to diet quality and shows an association with obesity measures, eating styles and key nutrients in the expected direction.