Publications by authors named "Harriette Snoek"

In low- and middle-income countries, particularly in urban areas, adolescent diets consist mainly of energy-dense and nutrient-poor foods, putting them at risk of malnutrition and non-communicable diseases (NCD). In Bangladesh, little is known about the diet quality of adolescents, their food choices and the drivers of such choices. This study assessed motivations and ability to consume a healthy diet among adolescent girls and boys from low-income urban families and how these drivers were associated with dietary diversity and diet quality.

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Nigerian consumers have been found to view vegetables as healthy and health is a principal motivation for consumption; however, consumers also experience barriers related to preparation time and availability of vegetables. We therefore conducted a Veg-on-Wheels intervention, in which ready-to-cook, washed and pre-cut green leafy vegetables (GLV) were kept cool and sold for five weeks at convenient locations near workplaces and on the open market in Akure, Nigeria. Surveys were conducted prior to the intervention with 680 consumers and during the final week of the intervention with 596 consumers near workplaces and 204 consumers at the open market.

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To analyse consumers' attitudes and perceptions towards pork, online surveys were performed with 11,294 consumers from ten European Union (EU) and four non-EU countries. The survey indicates that, although animal welfare affects consumers' view on pork, it is not consumers' primary concern. For most countries, the ranking order of food motives was health and natural, sensory quality, price, and animal welfare.

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Individual differences in eating behaviours might partly explain the variations in development of weight gain and subsequent overweight and obesity. In the current study, identified trajectories of BMI in adolescence and their associations with restrained, emotional and external eating were tested. For the assessment of BMI trajectories growth mixture modelling was used; a method used to identify clusters of individuals within a population that follow distinct developmental trajectories.

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The following study compared the food choices made by overweight and non-overweight preschoolers while role-playing a mother who bought food for a family, and examined the influence of maternal restriction on food choice. After screening 619 children for height and weight, 56 overweight children (equal sex distribution, ages 4-6) and 56 non-overweight children (matched on age, sex, demographics) were selected to participate. Children's purchases of low and high caloric snacks, drinks, and dinner products in a miniature supermarket were recorded.

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The present study addresses the emergence of emotional eating in adolescence in relation to maternal or paternal psychological control. A reduction of food intake is considered the biological natural response to distress, therefore we tested whether the a-typical stress response of emotional eating develops in interaction with genetic vulnerability. Carrying the A1 allele of the dopamine D2 receptor (DRD2) gene Taq1A polymorphism (rs1800497) is associated with reduced dopamine D2 receptor availability in the brain.

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Family members can exert important direct and indirect influence on the eating behaviours of children; these include modelling, and transmission of preferences, beliefs, and attitudes. Current studies on family similarities in dieting behaviours however show inconsistent results. The present study examines family similarities and reciprocal influences on restrained eating, using data of a longitudinal three-wave full-family study consisting of both parents and two adolescent sibling children (aged 13-16 at time 1) from 404 Dutch families.

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Objective: Although restrained eating is believed to increase overeating and weight in the long term, the opposite has also been found: Heavy individuals are more likely to diet. The objective of the current study was to test both pathways for adolescents.

Design: A longitudinal model was used to explore the bidirectional associations between restrained eating and body mass index (BMI).

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The present study investigated similarities and reciprocal influences in emotional, external and restrained eating in adolescent siblings, and the moderating role of sex and quality of relationship. A total of 415 sibling pairs (aged 13-16 years) participated in this two-wave one-year longitudinal study. Analyses were conducted by means of Structural Equation Modeling.

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Parents can influence their children's emotional eating behaviour through modelling processes and parenting. In this study, data on parenting (support, behavioural control and psychological control), emotional eating, and demographic variables were gathered among both parents and two adolescent children of 428 Dutch families. Structural equation modelling showed positive associations between parents' emotional eating and adolescents' emotional eating.

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The purpose of this study was to determine how emotional, external and restrained eating behavior and other health-related lifestyle factors were associated with being overweight in adolescents. Moreover, demographic and ethnic differences in eating behavior have been examined. The respondents were 10,087 Dutch adolescents aged 11-16 years (M= 13.

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In a nationwide sample of 10,087 Dutch adolescents aged 11-16 years (M = 13.0, SD = .8), on average, 25% of the respondents watched more than three hours of television per day.

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The present study tested the dual pathway model of Stice [. A review of the evidence for a sociocultural model of bulimia nervosa and an exploration of the mechanisms of action. Clinical Psychology Review, 14, 633-661 and .

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Background: Sensory-specific satiety has been found to play an important role in food choice and meal termination, and it might be a factor contributing to obesity.

Objective: We hypothesized that obese and normal-weight people have different sensitivities to sensory-specific satiety for high-fat foods.

Design: Sensory-specific satiety was measured in 21 obese [x body mass index (BMI; in kg/m(2)): 33.

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