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1.
Int J Obes (Lond) ; 41(4): 518-526, 2017 04.
Article in English | MEDLINE | ID: mdl-27899810

ABSTRACT

INTRODUCTION: This study aims to evaluate a potential selection effect caused by exclusion of children with non-identifiable infancy peak (IP) and adiposity rebound (AR) when estimating associations between age and body mass index (BMI) at IP and AR and later weight status. SUBJECTS AND METHODS: In 4744 children with at least 4 repeated measurements of height and weight in the age interval from 0 to 8 years (37 998 measurements) participating in the IDEFICS (Identification and Prevention of Dietary- and Lifestyle-Induced Health Effects in Children and Infants)/I.Family cohort study, fractional polynomial multilevel models were used to derive individual BMI trajectories. Based on these trajectories, age and BMI at IP and AR, BMI values and growth velocities at selected ages as well as the area under the BMI curve were estimated. The BMI growth measures were standardized and related to later BMI z-scores (mean age at outcome assessment: 9.2 years). RESULTS: Age and BMI at IP and AR were not identifiable in 5.4% and 7.8% of the children, respectively. These groups of children showed a significantly higher BMI growth during infancy and childhood. In the remaining sample, BMI at IP correlated almost perfectly (r⩾0.99) with BMI at ages 0.5, 1 and 1.5 years, whereas BMI at AR correlated perfectly with BMI at ages 4-6 years (r⩾0.98). In the total study group, BMI values in infancy and childhood were positively associated with later BMI z-scores where associations increased with age. Associations between BMI velocities and later BMI z-scores were largest at ages 5 and 6 years. Results differed for children with non-identifiable IP and AR, demonstrating a selection effect. CONCLUSIONS: IP and AR may not be estimable in children with higher-than-average BMI growth. Excluding these children from analyses may result in a selection bias that distorts effect estimates. BMI values at ages 1 and 5 years might be more appropriate to use as predictors for later weight status instead.


Subject(s)
Adiposity/physiology , Body Mass Index , Pediatric Obesity/epidemiology , Weight Gain/physiology , Age Distribution , Child , Child Development , Child Nutritional Physiological Phenomena , Child, Preschool , Cohort Studies , Diet , Energy Intake/physiology , Europe/epidemiology , Female , Humans , Infant , Infant, Newborn , Life Style , Male , Nutritional Status/physiology , Odds Ratio , Risk Factors
2.
Pediatr Obes ; 8(2): 118-29, 2013 Apr.
Article in English | MEDLINE | ID: mdl-23001999

ABSTRACT

OBJECTIVES: To evaluate parental perceptions of and concern about child's body weight and general health in children in a European cohort. DESIGN: Cross-sectional multi-centre study in eight European countries. PARTICIPANTS: 16,220 children, ages 2-9 years. METHODS: Parents completed a questionnaire regarding children's health and weight and concern about overweight and underweight. Objective children's weight categories from the International Obesity Task Force were used. Logistic regression models were utilized to identify predictors of accurate weight perception. RESULTS: Parental weight perception corresponded overall to children's mean body mass index (BMI) z-scores, with important exceptions. About one-third of the total indicated concern about underweight, paradoxically most often parents of children in the overweight or obesity categories. In 63%, parents of children in the overweight category marked 'proper weight'. The strongest predictor for accurate parental weight perception for children with overweight and obesity was BMI z-score (odds ratio [OR] = 7.2, 95% confidence interval [CI] 6.1-8.7). Compared to Southern Europe, ORs for accurate parental weight perception were 4.4 (95% CI 3.3-6.0) in Northern Europe and 3.4 (95% CI 2.7-4.2) in Central Europe. CONCLUSION: Parents of children categorized as being overweight or obese systematically underestimated weight. Parents differed regionally regarding accurate weight perception and concern about overweight and underweight.


Subject(s)
Obesity/epidemiology , Parents , Thinness/epidemiology , Weight Perception , Body Mass Index , Child , Child, Preschool , Cross-Sectional Studies , Europe/epidemiology , Female , Health Knowledge, Attitudes, Practice , Health Promotion , Humans , Logistic Models , Male , Obesity/diagnosis , Obesity/psychology , Odds Ratio , Parents/psychology , Socioeconomic Factors , Surveys and Questionnaires , Thinness/diagnosis , Thinness/psychology
3.
Health Educ Res ; 24(3): 381-93, 2009 Jun.
Article in English | MEDLINE | ID: mdl-18603656

ABSTRACT

One purpose of 'identification and prevention of dietary- and lifestyle-induced health effects in children and infants' (IDEFICS) is to implement a standardized community-based multi-component healthy eating intervention for younger children in eight different countries. The present study describes important influencing factors for dietary behaviors among children aged 2-8 years old in order to determine the best approaches for developing the dietary components of the standardized intervention. Twenty focus groups with children (74 boys, 81 girls) and 36 focus groups with 189 parents (28 men, 161 women) were conducted. Only in two countries, children mentioned receiving nutrition education at school. Rules at home and at school ranged from not allowing the consumption of unhealthy products to allowing everything. The same diversity was found for availability of (un)healthy products at home and school. Parents mentioned personal (lack of time, financial constraints, preferences), socio-environmental (family, peer influences), institutional (school policies) and physical-environmental (availability of unhealthy products, price, season) barriers for healthy eating. This focus group research provided valuable information to guide the first phase in the IDEFICS intervention development. There was a large variability in findings within countries. Interventions should be tailored at the personal and environmental level to increase the likelihood of behavioral change.


Subject(s)
Feeding Behavior/psychology , Health Education/organization & administration , Motivation , Advertising , Child , Child, Preschool , Environment , Female , Focus Groups , Health Behavior , Humans , Male , Parents , Schools , Social Environment , Socioeconomic Factors
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