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1. Breast milk n-3 long-chain polyunsaturated fatty acids and blood pressure: an individual participant meta-analysis

Author: van Rossem, Lenie, Smit, Henriette A., Armand, Martine, Bernard, Jonathan Y., Bisgaard, Hans, Bønnelykke, Klaus, Bruun, Signe, Heude, Barbara, Husby, Steffen, Kyhl, Henriette B., Michaelsen, Kim F., Stark, Ken D., Thijs, Carel, Vinding, Rebecca K., Wijga, Alet H., and Lauritzen, Lotte
Published: 2021
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2. European Birth Cohorts for Environmental Health Research

Author: Vrijheid, Martine, Casas, Maribel, Bergström, Anna, Carmichael, Amanda, Cordier, Sylvaine, Eggesbø, Merete, Eller, Esben, Fantini, Maria P., Fernández, Mariana F., Fernández-Somoano, Ana, Gehring, Ulrike, Grazuleviciene, Regina, Hohmann, Cynthia, Karvonen, Anne M., Keil, Thomas, Kogevinas, Manolis, Koppen, Gudrun, Krämer, Ursula, Kuehni, Claudia E., Magnus, Per, Majewska, Renata, Andersen, Anne-Marie Nybo, Patelarou, Evridiki, Petersen, Maria Skaalum, Pierik, Frank H., Polanska, Kinga, Porta, Daniela, Richiardi, Lorenzo, Santos, Ana Cristina, Slama, Rémy, Sram, Radim J., Thijs, Carel, Tischer, Christina, Toft, Gunnar, Trnovec, Tomáš, Vandentorren, Stephanie, Vrijkotte, Tanja G.M., Wilhelm, Michael, Wright, John, and Nieuwenhuijsen, Mark
Published: 2012

3. Critical Hours and Important Environments: Relationships between Afterschool Physical Activity and the Physical Environment Using GPS, GIS and Accelerometers in 10–12-Year-Old Children

Author: Remmers, Teun, Thijs, Carel, Ettema, Dick, de Vries, Sanne, Slingerland, Menno, Kremers, Stef, Social Urban Transitions, RS: CAPHRI - R5 - Optimising Patient Care, Promovendi PHPC, Epidemiologie, Promovendi NTM, Health promotion, RS: NUTRIM - R1 - Obesity, diabetes and cardiovascular health, and Social Urban Transitions
Subjects: Male, cycling, genetic structures, GLOBAL POSITIONING SYSTEMS, GPS, Health, Toxicology and Mutagenesis, Applied psychology, Leisure time, lcsh:Medicine, physical activity, computer.software_genre, Accelerometer, Critical hours, 0302 clinical medicine, ADOLESCENTS, Accelerometry, spatial behavior, 030212 general & internal medicine, Child, context-specific, Children, HEALTH RESEARCH, Built environment, ASSOCIATIONS, Schools, BUILT-ENVIRONMENT, 4. Education, vervoer, lichaamsbeweging, global positioning systems (GPS), SEDENTARY TIME, Kinderen, Context-specific, NEIGHBORHOOD, YOUTH, Health, Global Positioning System, Female, Public Health, Psychology, fietsen, accelerometers, Geospatial analysis, Physical activity, Pedestrian, Environment, Article, primary schools, Wearable Electronic Devices, 03 medical and health sciences, children, basisscholen, Humans, Toxicology and Mutagenesis, Exercise, business.industry, lcsh:R, Environmental and Occupational Health, Public Health, Environmental and Occupational Health, 030229 sport sciences, COMPENSATION, accelerometer, Spatial behavior, SCHOOL, transport, Geographic Information Systems, business, computer
Abstract: Introduction: The objective of this study was to assess relationships between children&rsquo, s physical environment and afterschool leisure time physical activity (PA) and active transport. Methods: Children aged 10&ndash, 12 years participated in a 7-day accelerometer and Global Positioning Systems (GPS) protocol. Afterschool leisure time PA and active transport were identified based on location- and speed-algorithms based on accelerometer, GPS and Geospatial Information Systems (GIS) data. We operationalized children&rsquo, s exposure to the environment by combining home, school and the daily transport environment in individualized daily activity-spaces. Results: In total, 255 children from 20 Dutch primary schools from suburban areas provided valid data. This study showed that greenspaces and smaller distances from the children&rsquo, s home to school were associated with afterschool leisure time PA and walking. Greater distances between home and school, as well as pedestrian infrastructure were associated with increased cycling. Conclusion: We demonstrated associations between environments and afterschool PA within several behavioral contexts. Future studies are encouraged to target specific behavioral domains and to develop natural experiments based on interactions between several types of the environment, child characteristics and potential socio-cognitive processes.
Published: 2019

4. Association of picky eating around age 4 with dietary intake and weight status in early adulthood: A 14-year follow-up based on the KOALA birth cohort study.

Author: Pereboom, Josine, Thijs, Carel, Eussen, Simone, Mommers, Monique, and Gubbels, Jessica S.
Subjects: *FOOD fussiness, *COMPULSIVE eating, *FOOD consumption, *FOOD habits, *COHORT analysis, *YOUNG adults, *KOALA
Abstract: A relatively common deviant type of eating behaviour among children is picky eating. Research on associations between picky eating and dietary patterns later in life is limited, and studies examining long-term effects on growth have yielded mixed results. The present study aimed to examine longitudinal associations of picky eating in early childhood with consumption of various foods, and weight status (body mass index, BMI) in young adulthood. Data from the Dutch KOALA Birth Cohort was used. Picky eating was determined around age 4 (range 3–6 years) by a questionnaire completed by parents. At follow-up around children's age 18 (range 17–20 years), weekly food intake frequencies, weight and height were assessed with a questionnaire completed by the grown-up young adult children. In total, 814 participants were included. Multiple regression analyses were performed for food intake frequencies and weight status (BMI) with picky eating score as predictor, controlling for parental and child covariates. The mean picky eating score at age 4–5 was 2.24 (range 1–5). A 1-point higher picky eating score was associated with eating fruit 0.14 days less per week, raw vegetables 0.14 days less per week, cooked vegetables 0.21 days less per week, fish 0.07 days less per week and dairy products 0.23 days less per week (P-values all <0.05). Associations between picky eating and intake frequencies of meat, eggs, various snacks, sweet drinks, and weight status (BMI) were not significant. Picky eating in childhood is associated with lower intake frequencies of various healthy foods among young adults. It is therefore recommended to pay sufficient attention to picky eating in young children. [ABSTRACT FROM AUTHOR]
Published: 2023
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5. Preterm birth, infant weight gain, and childhood asthma risk: A meta-analysis of 147,000 European children

Author: Sonnenschein-Van Der Voort, Agnes M M, Arends, Lidia R., De Jongste, Johan C., Annesi-Maesano, Isabella, Arshad, S. Hasan, Barros, Henrique, Basterrechea, Mikel, Bisgaard, Hans, Chatzi, Leda, Corpeleijn, Eva, Correia, Sofia, Craig, Leone C., Devereux, Graham, Dogaru, Cristian, Dostal, Miroslav, Duchen, Karel, Eggesbø, Merete, Van Der Ent, C. Kors, Fantini, Maria P., Forastiere, Francesco, Frey, Urs, Gehring, Ulrike, Gori, Davide, Van Der Gugten, Anne C., Hanke, Wojciech, Henderson, A. John, Heude, Barbara, Iñiguez, Carmen, Inskip, Hazel M., Keil, Thomas, Kelleher, Cecily C., Kogevinas, Manolis, Kreiner-Møller, Eskil, Kuehni, Claudia E., Küpers, Leanne K., Lancz, Kinga, Larsen, Pernille S., Lau, Susanne, Ludvigsson, Johnny, Mommers, Monique, Nybo Andersen, Anne Marie, Palkovicova, Lubica, Pike, Katharine C., Pizzi, Costanza, Polanska, Kinga, Porta, Daniela, Richiardi, Lorenzo, Roberts, Graham, Schmidt, Anne, Sram, Radim J., Sunyer, Jordi, Thijs, Carel, Torrent, Maties, Viljoen, Karien, Wijga, Alet H., Vrijheid, Martine, Jaddoe, Vincent W V, Duijts, Liesbeth, LS IRAS EEPI ME (Milieu epidemiologie), Risk Assessment of Toxic and Immunomodulatory Agents, and IRAS RATIA2
Subjects: infant growth, children, cohort studies, wheezing, Immunology, Immunology and Allergy, epidemiology, Gestational age, low birth weight, asthma
Abstract: Background Preterm birth, low birth weight, and infant catch-up growth seem associated with an increased risk of respiratory diseases in later life, but individual studies showed conflicting results. Objectives We performed an individual participant data meta-analysis for 147,252 children of 31 birth cohort studies to determine the associations of birth and infant growth characteristics with the risks of preschool wheezing (1-4 years) and school-age asthma (5-10 years). Methods First, we performed an adjusted 1-stage random-effect meta-analysis to assess the combined associations of gestational age, birth weight, and infant weight gain with childhood asthma. Second, we performed an adjusted 2-stage random-effect meta-analysis to assess the associations of preterm birth (gestational age
Published: 2014

6. Energy balance-related parenting and child-care practices: The importance of meso-system consistency.

Author: Gubbels, Jessica S., Stessen, Kelly, van de Kolk, Ilona, de Vries, Nanne K., Thijs, Carel, and Kremers, Stef P. J.
Subjects: PARENTING, PARENT-child relationships, CHILD rearing, CHILD care, CHILD nutrition
Abstract: Background: Our knowledge of the role of parental and child-care staff behavior in the development and prevention of obesity is rapidly increasing. Potential interaction between both settings in so-called meso-systems, as hypothesized by the ecological systems perspective, is however often ignored. Specifically, inconsistency between home and child-care is hypothesized to have negative effects on child outcomes. Methods: Participants were recruited through 23 child-care centers in the Netherlands. Data regarding 161 child-parent-child-care staff triads were available. Parenting and child care practices were assessed using validated questionnaires for parents (Child Feeding Practices Questionnaire, Preschooler Physical Activity Parenting Practices instrument) and child-care staff (Child-care Food and Activity Practices Questionnaire), using similar items in both settings. Absolute difference scores between parents and child-care staff were calculated for each triad as a measure of meso-system consistency. Child outcomes were physical activity (as assessed by accelerometry), dietary intake (from the parental questionnaire), and measured BMI z-scores. Paired t-tests were used to examine consistency between practices in both settings. Linear regression analyses were used to explore the association of parenting practices, child-care practices and difference scores on the one hand, and child outcomes on the other. Results: Significant differences between settings were found for almost all practices, and in most cases child-care staff scores more favorable on the practices than parents. Inconsistencies were mostly associated with unhealthy dietary intake and lower physical activity levels, but not with BMI. Conclusion: The current study showed that inconsistencies in parenting and child-care practices exist, and that these inconsistencies seem to be associated with unhealthy behavior in children. The results underline the importance of studying meso-system influences on behavior in general, and children’s energy balance-related behavior specifically. [ABSTRACT FROM AUTHOR]
Published: 2018
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7. CD14 polymorphisms in mother and infant, soluble CD14 in breast milk and atopy development in the infant (KOALA Study)

Author: Snijders, Bianca E. P., Stelma, Foekje F., Reijmerink, Naomi E., Thijs, Carel, van der Steege, Gerrit, Damoiseaux, Jan G. M. C., van den Brandt, Piet A., van Ree, Ronald, Postma, Dirkje S., Koppelman, Gerard H., Other departments, Amsterdam institute for Infection and Immunity, Amsterdam Public Health, Experimental Immunology, Faculteit Medische Wetenschappen/UMCG, and Groningen Research Institute for Asthma and COPD (GRIAC)
Subjects: ENVIRONMENT, atopic dermatitis, PLASMA, PARTY DIAGNOSTIC-CRITERIA, CHILDREN, gene-environment interactions, GENE, PROMOTER POLYMORPHISM, immunoglobulin E, DERMATITIS, ANTIBODIES, eczema, IGE, CD14, IMMUNOGLOBULIN-E
Abstract: Different CD14 polymorphisms have been associated with atopic phenotypes in infants. In addition, CD14 genotypes of breastfeeding mothers have been associated with soluble CD14 (sCD14) levels in breast milk. The role of CD14 genotypes of infant and mother and their interaction with sCD14 levels in breast milk in atopy development remain to be established. We aimed to study the associations of CD14 single nucleotide polymorphisms (SNPs), and their interaction with breast milk sCD14, with atopy development until age two. In addition, we assessed whether levels of sCD14 in breast milk associated with SNPs in CD14. Four SNPs in CD14 gene were investigated in 698 infants and 188 mothers. Associations between these SNPs, sCD14 and atopy development were analyzed in multiple logistic or linear regression models. The CD14/-1619 SNP was associated with eczema. CC homozygotes showed a lower risk of eczema vs. TT homozygotes (adjusted odds ratio = 0.56, 95% confidence interval 0.33-0.96) in a co-dominant model. Breast milk sCD14 levels did not significantly modify the effect of the child's CD14 genotype on atopy development (p interaction >= 0.10). Maternal CD14 SNPs were not significantly associated with sCD14 levels in breast milk (anova, p >= 0.48). We found only an association between CC homozygozity of SNP CD14/-1619 and eczema. Our data did not support a modifying role of breast milk sCD14 levels on the relationship between CD14 genotype and atopy development until age 2 yr.
Published: 2010

8. Influence of vitamin D on key bacterial taxa in infant microbiota in the KOALA Birth Cohort Study.

Author: Talsness, Chris E., Penders, John, Jansen, Eugène H. J. M., Damoiseaux, Jan, Thijs, Carel, and Mommers, Monique
Subjects: VITAMIN D in human nutrition, HOMEOSTASIS, INFANT nutrition, GUT microbiome, COHORT analysis
Abstract: Vitamin D has immunomodulatory properties giving it the potential to affect microbial colonization of the intestinal tract. We investigated whether maternal vitamin D supplemention, maternal plasma 25-hydroxyvitamin D concentration, or direct supplementation of the infant influences key bacterial taxa within microbiota of one month old infants. Infant and maternal vitamin D supplement use was ascertained via questionnaires. Maternal plasma 25-hydroxyvitamin D was determined at approximately the 36th week of pregnancy. In 913 one month old infants in the prospective KOALA Birth Cohort Study, fecal Bifidobacterium spp., Escherichia coli, Clostridium difficile, Bacteroides fragilis group, Lactobacillus spp. and total bacteria were quantified with real-time polymerase chain reaction assays targeting 16S rRNA gene sequences. The association between vitamin D exposure and prevalence or abundance of a specific bacterial group or species was analyzed using logistic or linear regression, respectively. There was a statistically significant negative linear trend between counts of Bifidobacterium spp. and levels of maternal vitamin D supplementation and maternal 25-hydroxyvitamin D quintiles, respectively. In addition, a positive linear trend between quintile groups and B. fragilis group counts was observed. Lower counts of C. difficile were associated with vitamin D supplementation of breast fed infants whose mothers were more likely to adhere to an alternative lifestyle in terms of, e.g., dietary habits. These data suggest that vitamin D influences the abundance of several key bacterial taxa within the infant microbiota. Given that intestinal microbiotic homeostasis may be an important factor in the prevention of immune mediated diseases and that vitamin D status is a modifiable factor, further investigation of the impact of postnatal vitamin D supplementation should be conducted in older infants. [ABSTRACT FROM AUTHOR]
Published: 2017
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9. Bidirectional associations between activity-related parenting practices, and child physical activity, sedentary screen-based behavior and body mass index: a longitudinal analysis.

Author: Sleddens, Ester F. C., Gubbels, Jessica S., Kremers, Stef P. J., van der Plas, Eline, and Thijs, Carel
Subjects: CHILD behavior, FORECASTING, LONGITUDINAL method, PARENT-child relationships, PARENTING, PARENTS, QUESTIONNAIRES, REGRESSION analysis, TELEVISION, STATISTICAL significance, BODY mass index, PHYSICAL activity
Abstract: Background: It has been generally assumed that activity-related parenting practices influence children's activity behavior and weight status. However, vice versa parents may also change their parenting behaviors in response to their perceptions of their child's activity behavior and weight status. This study examined the bidirectional relationships between activity-related parenting practices, and physical activity, sedentary screen-based behavior, and body mass index (BMI) between children's age of 5 and 7 years. Methods: Three scales of the Activity-related Parenting Questionnaire (i.e. 'restriction of sedentary behavior', 'stimulation of physical activity', and 'monitoring of physical activity') were completed by 1694 parents of the Dutch KOALA Birth Cohort Study at the child's age of around 5 and again around age 7. Physical activity, sedentary screen-based behavior and BMI were measured at both ages as well. Linear regression models were used to estimate the bidirectional associations between each parenting practice and the child's physical activity levels, sedentary screen-based behavior and BMI z-scores. Results: Several parenting practices at age 5 predicted child physical activity, sedentary screen-based behavior, and BMI z-scores at age 7. Restriction of sedentary behavior positively predicted child BMI and sedentary screen-based behavior, whereas this practice negatively predicted child physical activity. In addition, stimulation of physical activity at age 5 was significantly associated with higher levels of child physical activity at age 7. The following child factors at age 5 predicted parenting practices at age 7: Child physical activity positively predicted parental stimulation of physical activity and monitoring activities. Sedentary screen-based behavior was associated with lower parental stimulation to be active. Conclusions: Findings generally revealed that parents and children mutually influence each other's behavior. A reinforcing feedback loop was present between parental stimulation of physical activity and child physical activity. Bidirectional parent-child interaction should be considered in future research in order to properly inform parenting-related intervention programs aimed at preventing or treating childhood overweight or obesity. System dynamic methods to explore the existence of reinforcing or balancing loops are needed in this regard. [ABSTRACT FROM AUTHOR]
Published: 2017
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10. Parental perception of child’s weight status and subsequent BMIz change: the KOALA birth cohort study.

Author: Gerards, Sanne MPL, Gubbels, Jessica S, Dagnelie, Pieter C, Kremers, Stef PJ, Stafleu, Annette, de Vries, Nanne K, and Thijs, Carel
Abstract: Background: Parents often fail to correctly perceive their children’s weight status, but no studies have examined the association between parental weight status perception and longitudinal BMIz change (BMI standardized to a reference population) at various ages. We investigated whether parents are able to accurately perceive their child’s weight status at age 5. We also investigated predictors of accurate weight status perception. Finally, we investigated the predictive value of accurate weight status perception in explaining children’s longitudinal weight development up to the age of 9, in children who were overweight at the age of 5. Methods: We used longitudinal data from the KOALA Birth Cohort Study. At the child’s age of 5 years, parents filled out a questionnaire regarding child and parent characteristics and their perception of their child’s weight status. We calculated the children’s actual weight status from parental reports of weight and height at ages 2, 5, 6, 7, 8, and 9 years. Regression analyses were used to identify factors predicting which parents accurately perceived their child’s weight status. Finally, regression analyses were used to predict subsequent longitudinal BMIz change in overweight children. Results: Eighty-five percent of the parents of overweight children underestimated their child’s weight status at age 5. The child’s BMIz at age 2 and 5 were significant positive predictors of accurate weight status perception (vs. underestimation) in normal weight and overweight children. Accurate weight status perception was a predictor of higher future BMI in overweight children, corrected for actual BMI at baseline. Conclusions: Children of parents who accurately perceived their child’s weight status had a higher BMI over time, probably making it easier for parents to correctly perceive their child’s overweight. Parental awareness of the child’s overweight as such may not be sufficient for subsequent weight management by the parents, implying that parents who recognize their child’s overweight may not be able or willing to adequately manage the overweight. [ABSTRACT FROM AUTHOR]
Published: 2014
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11. Development of the Comprehensive General Parenting Questionnaire for caregivers of 5-13 year olds.

Author: Sleddens, Ester F. C., O'Connor, Teresia M., Watson, Kathleen B., Hughes, Sheryl O., Power, Thomas G., Thijs, Carel, De Vries, Nanne K., and Kremers, Stef P. J.
Subjects: AGE distribution, ANALYSIS of variance, CHI-squared test, STATISTICAL correlation, EXPERIMENTAL design, FACTOR analysis, RESEARCH methodology, MULTIVARIATE analysis, PARENT-child relationships, PARENTING, PERSONALITY, POPULATION geography, QUESTIONNAIRES, REGRESSION analysis, RESEARCH funding, SCALE analysis (Psychology), SOCIOECONOMIC factors, BODY mass index, PARENT attitudes, RESEARCH methodology evaluation, DESCRIPTIVE statistics
Abstract: Background Despite the large number of parenting questionnaires, considerable disagreement exists about how to best assess parenting. Most of the instruments only assess limited aspects of parenting. To overcome this shortcoming, the "Comprehensive General Parenting Questionnaire" (CGPQ) was systematically developed. Such a measure is frequently requested in the area of childhood overweight. Methods First, an item bank of existing parenting measures was created assessing five key parenting constructs that have been identified across multiple theoretical approaches to parenting (Nurturance, Overprotection, Coercive control, Behavioral control, and Structure). Caregivers of 5- to 13-year-olds were asked to complete the online survey in the Netherlands (N = 821), Belgium (N = 435) and the United States (N = 241). In addition, a questionnaire regarding personality characteristics ("Big Five") of the caregiver was administered and parents were asked to report about their child's height and weight. Factor analyses and Item-Response Modeling (IRM) techniques were used to assess the underlying parenting constructs and for item reduction. Correlation analyses were performed to assess the relations between general parenting and personality of the caregivers, adjusting for socio-economic status (SES) indicators, to establish criterion validity. Multivariate linear regressions were performed to examine the associations of SES indicators and parenting with child BMI z-scores. Additionally, we assessed whether scores on the parenting constructs and child BMI z-scores differed depending on SES indicators. Results The reduced questionnaire (62 items) revealed acceptable fit of our parenting model and acceptable IRM item fit statistics. Caregiver personality was related as hypothesized with the GCPQ parenting constructs. While correcting for SES, overprotection was positively related to child BMI. The negative relationship between structure and BMI was borderline significant. Parents with a high level of education were less likely to use overly forms of controlling parenting (i.e., coercive control and overprotection) and more likely to have children with lower BMI. Based on several author review meetings and cognitive interviews the questionnaire was further modified to an 85-item questionnaire. Conclusions The GCPQ may facilitate research exploring how parenting influences children's weight-related behaviors. The contextual influence of general parenting is likely to be more profound than its direct relationship with weight status. [ABSTRACT FROM AUTHOR]
Published: 2014
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12. Clustering of energy balance-related behaviors in 5-year-old children: Lifestyle patterns and their longitudinal association with weight status development in early childhood.

Author: Gubbels, Jessica S., Kremers, Stef P. J., Stafleu, Annette, Goldbohm, R. Alexandra, de Vries, Nanne K., and Thijs, Carel
Subjects: OBESITY & psychology, FOOD habits, CHILD behavior, COOKING, FACTOR analysis, LONGITUDINAL method, RESEARCH funding, SEX distribution, SNACK foods, TELEVISION, VIDEO games, HOME environment, EDUCATIONAL attainment, BODY mass index, SEDENTARY lifestyles, DESCRIPTIVE statistics, CHILDREN
Abstract: Background: This study identified lifestyle patterns by examining the clustering of eating routines (e.g. eating together as a family, having the television on during meals, duration of meals) and various activity-related behaviors (i.e. physical activity (PA) and sedentary screen-based behavior) in 5-year-old children, as well as the longitudinal association of these patterns with weight status (BMI and overweight) development up to age 8. Methods: Data originated from the KOALA Birth Cohort Study (N = 2074 at age 5). Principal component analysis (PCA) was used to identify lifestyle patterns. Backward regression analyses were used to examine the association of lifestyle patterns with parent and child background characteristics, as well as the longitudinal associations between the patterns and weight status development. Results: Four lifestyle patterns emerged from the PCA: a 'Television-Snacking' pattern, a 'Sports-Computer' pattern, a 'Traditional Family' pattern, and a "Fast' Food' pattern. Child gender and parental educational level, working hours and body mass index were significantly associated with the scores for the patterns. The Television-Snacking pattern was positively associated with BMI (standardized regression coefficient β = 0.05; p<0.05), and children with this pattern showed a positive tendency toward being overweight at age 8 (Odds ratio (OR) = 1.27, p = 0.06). In addition, the Sports-Computer pattern was significantly positively associated with an increased risk of becoming overweight at age 7 (OR = 1.28, p<0.05). Conclusions: The current study showed the added value of including eating routines in cross-behavioral clustering analyses. The findings indicate that future interventions to prevent childhood overweight should address eating routines and activity/inactivity simultaneously, using the synergy between clustered behaviors (e.g. between television viewing and snacking). [ABSTRACT FROM AUTHOR]
Published: 2012
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13. γ-Linolenic acid supplementation for prophylaxis of atopic dermatitis-a randomized controlled trial in infants at high familial risk.

Author: van Gool, Christel J. A. W., Thijs, Carel, Henquet, Charles J. M., van Houwelingen, Adriana C., Dagnelie, Pieter C., Schrander, Jaap, Menheere, Paul P. C. A., and van den Brandt, Piet A.
Abstract: Background: Studies suggest that low concentrations of n-6 long-chain polyenes in early life are correlated to atopic disease in later life. Objective: The purpose of the study was to investigate the possible preventive effect of γ-linolenic acid (GLA) supplementation on the development of atopic dermatitis in infants at risk. Design: In a double-blind, randomized, placebo-controlled trial, formula-fed infants (n = 118) with a maternal history of atopic disease received borage oil supplement (containing 100 mg GLA) or sunflower oil supplement as a placebo daily for the first 6 mo of life. Main outcome measures were the incidence of atopic dermatitis in the first year of life (by UK Working Party criteria), the severity of atopic dermatitis (SCORing Atopic Dermatitis; SCORAD), and the total serum immunoglobulin E (IgE) concentration at the age of 1 y. Results: The intention-to-treat analysis showed a favorable trend for severity of atopic dermatitis associated with GLA supplementation (x- ± SD SCORAD: 6.32 ± 5.32) in the GLA-supplemented group as compared with 8.28 ± 6.54 in the placebo group (P = 0.09; P = 0.06 after adjustment for total serum IgE at baseline, age 1 wk), but no significant effects on the other atopic outcomes. The increase in GLA concentrations in plasma phospholipids between baseline and 3 mo was negatively associated with the severity of atopic dermatitis at 1 y (Spearman's correlation coefficient = -0.233, P = 0.013). There was no significant effect on total serum IgE concentration. Conclusion: Early supplementation with GLA in children at high familial risk does not prevent the expression of atopy as reflected by total serum IgE, but it tends to alleviate the severity of atopic dermatitis in later infancy in these children. [ABSTRACT FROM AUTHOR]
Published: 2003
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14. Influence of Alternative Lifestyles on Antibiotic Use during Pregnancy, Lactation and in Children.

Author: Eras, Pien, Simões-Wüst, Ana Paula, and Thijs, Carel
Subjects: ANTIBIOTICS, LACTATION, ORGANIC foods, PREGNANCY, PREGNANT women
Abstract: Alternative lifestyles are likely to be associated with distinct usage of specific medicinal products. Our goal was to find out whether the intake of antibiotics during pregnancy and by children differs according to whether the mothers have alternative or conventional lifestyles. Therefore, we investigated the use of antibiotics by pregnant women and by children up to 11 years of age participating in the KOALA Birth Cohort Study. This cohort comprises two recruitment groups of mother–infant pairs, one with alternative lifestyles (selected via organic food shops, anthroposophic clinicians and midwives, anthroposophic under-five clinics, Rudolf Steiner schools and relevant magazines, n = 491) the other with conventional lifestyles (no selection based on lifestyle, n = 2343). Mothers in the alternative lifestyle group more frequently adhered to specific living rules and identified themselves with anthroposophy more than mothers in the conventional lifestyle group. The results revealed significant differences in antibiotic use during pregnancy and in children from 3 months to 10 years of age between the two groups. The rate of antibiotic use in children was consistently lower in the alternative lifestyle group than in the conventional lifestyle group. Antibiotic use in pregnancy was higher in low educated women, and maternal antibiotic use during lactation was higher after an instrumented delivery in hospital. Antibiotic use in the infant was higher when they had older sibs or were born in hospital, and lower in those who had been longer breastfed. After adjustment for these factors, the differences in antibiotic use between the alternative and conventional groups remained. The results suggest that an alternative lifestyle is associated with cautious antibiotic use during pregnancy, lactation and in children. [ABSTRACT FROM AUTHOR]
Published: 2021
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15. Asthma and physical activity in childhood

Author: Marianne (Maria Christina Jacoba) Eijkemans, Thijs, Carel, Prins, Martin, Mommers, Monique, Draaisma, J.M.T., RS: CAPHRI - R5 - Optimising Patient Care, and Epidemiologie
Subjects: children, physical activity, asthma
Abstract: This thesis investigates the association between asthma and physical activity in children. Asthma is one of the most common chronic diseases in childhood and is caused by multiple factors, both genetic and environmental. Previous research has shown that obesity is a risk factor for developing asthma. This thesis focuses on the role of physical activity. The thesis describes several studies investigating asthma and physical activity in different directions and at different ages. Questionnaires, motion sensors (accelerometry) and lung function tests were used for this purpose. In conclusion, it can be stated that asthma and physical activity are not clearly associated.
Published: 2022

16. Longitudinal association of neighborhood variables with Body Mass Index in Dutch school-age children: The KOALA Birth Cohort Study.

Author: Schmidt, Swantje C., Sleddens, Ester F.C., de Vries, Sanne I., Gubbels, Jessica, and Thijs, Carel
Subjects: *COMMUNITIES, *CONFIDENCE intervals, *FACTOR analysis, *LONGITUDINAL method, *CHILDHOOD obesity, *PROBABILITY theory, *QUESTIONNAIRES, *REGRESSION analysis, *BODY mass index, *DESCRIPTIVE statistics, *CHILDREN
Abstract: Changes in the neighborhood environment may explain part of the rapid increase in childhood overweight and obesity during the last decades. To date few theory-driven rather than data-driven studies have explored longitudinal associations between multiple neighborhood characteristics and child body weight development. We aimed to assess the relationship between physical, social and perceived safety related characteristics of the neighborhood and Body Mass Index (BMI) development in children during early school age, using a longitudinal design. We included an examination of moderating and confounding factors based on a conceptual model adapted from the EnRG framework (Environmental Research framework for weight Gain prevention) and empirical research. Analyses included 1887 children from the KOALA Birth Cohort Study followed from baseline age 4–5 years until 8–9 years. For children age 4–5 years, parents completed a questionnaire measuring characteristics of the neighborhood. Reliability and factor analyses were used to identify constructs for neighborhood characteristics. Linear regression analysis was performed to assess the relationship between neighborhood constructs and BMI z-scores cross-sectionally at age 4–5 years and longitudinally using Generalized Estimating Equations with BMI z-scores over 5 repeated measurements until age 8–9 years. Fourteen constructs were identified and grouped in three domains including perceived physical, social, or safety related characteristics of the neighborhood. Cross-sectionally, a lower BMI z-score was associated with higher perceived physical attractiveness of the neighborhood environment (standardized regression coefficient (β) −0.078, 95% CI −0.123 to −0.034) and a higher level of social capital (β −0.142, −0.264 to −0.019). Longitudinally, similar associations were observed with potentially even stronger regression coefficients. This study suggests that BMI in children is mainly related to the modifiable physical and social environment of the conceptual model and not related to safety as perceived by parents. [ABSTRACT FROM AUTHOR]
Published: 2015
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17. Health effects of chronic noise exposure in pregnancy and childhood: A systematic review initiated by ENRIECO

Author: Hohmann, Cynthia, Grabenhenrich, Linus, de Kluizenaar, Yvonne, Tischer, Christina, Heinrich, Joachim, Chen, Chih-Mei, Thijs, Carel, Nieuwenhuijsen, Mark, and Keil, Thomas
Subjects: *PHYSIOLOGICAL effects of noise, *PREGNANCY, *SLEEP deprivation, *CHILDREN'S health, *POLLUTANTS, *SYSTEMATIC reviews, *ADVERSE health care events, *HEALTH outcome assessment
Abstract: Abstract: Background: Chronic noise is an environmental pollutant and well-known to cause annoyance and sleep disturbance. Its association with clinical and subclinical adverse health effects has been discussed. Objectives: This systematic review aimed to examine associations between chronic noise exposure during pregnancy or childhood and health outcomes in early and late childhood. Methods: Following a systematic electronic literature search (MEDLINE, EMBASE), an additional hand search and a critical evaluation of potential articles by 2 independent reviewers, 29 studies were included: 12 on pregnancy/birth outcomes with samples ranging from 115 to 22,761 and 17 on cardiovascular and immune-mediated health outcomes in childhood with samples ranging from 43 to 1542. Evidence levels (3 to 2++) were rated according to the Scottish Intercollegiate Guidelines Network. Results: Chronic noise exposure during pregnancy was not associated with birth weight, preterm birth, congenital anomalies, perinatal and neonatal death based on 6 cohort, 4 case–control, and 2 cross-sectional studies (highest evidence level 2+). There was some evidence supporting an association of chronic noise exposure with increased systolic blood pressure and stress hormone levels in urine and saliva in children evaluating 2 cohort and 15 cross-sectional studies (highest evidence level 2−). Conclusions: There seemed to be no associations between chronic noise and pregnancy outcomes based on studies with evidence levels up to 2+. Associations between chronic noise and health in children were based mainly on cross-sectional studies. However, the studies included in this comprehensive systematic review showed a high variation in study design, outcome, exposure and confounder assessments. [Copyright &y& Elsevier]
Published: 2013
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18. Validating the Children's Behavior Questionnaire in Dutch Children: Psychometric Properties and a Cross-Cultural Comparison of Factor Structures.

Author: Sleddens, Ester F. C., Kremers, Stef P. J., Candel, Math J. J. M., De Vries, Nanne N. K., and Thijs, Carel
Subjects: *BEHAVIORAL assessment of children, *PSYCHOMETRICS, *CROSS-cultural differences, *TEMPERAMENT in children, *CHILD psychology, *DUTCH people
Abstract: In this article, we examined the factorial validity of the Dutch translation of the Children's Behavior Questionnaire (CBQ) and the Very Short Form scores. In addition, we conducted cross-cultural com- parisons of temperament structure. In total, 353 parents of 6- to 8-year-olds completed the instrument. The original higher order factor structure of the different CBQ forms was generally replicated and represented the three broad dimensions of temperament: Surgency/Extraversion, Negative Affectivity, and Effortful Control. For the Standard Form, results demonstrated a relatively high degree of factor similarity of the Dutch sample with other cultures (e.g., China and Japan). The findings provide evidence for applicability of the CBQ in Western Europe as a promising instrument to comprehensively assess reactive and self-regulative temperamental dimensions in young children. [ABSTRACT FROM AUTHOR]
Published: 2011
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19. Relationship between parental feeding styles and eating behaviours of Dutch children aged 6–7

Author: Sleddens, Ester F.C., Kremers, Stef P.J., De Vries, Nanne K., and Thijs, Carel
Subjects: *PARENTERAL feeding, *FOOD habits, *CHILD nutrition, *DUTCH people, *BREAKFASTS, *SOFT drinks, *SNACK foods, *INGESTION
Abstract: Abstract: The present study assessed the relationship between parental feeding styles and dietary intake behaviours of Dutch children aged 6–7. Associations between feeding styles and dietary behaviours of the parents were also examined. We translated the validated ‘Parental Feeding Style Questionnaire’ and evaluated its factor structure. A cross-sectional survey was completed by one of the parents of 135 children. Results indicated considerable similarity of factor structure, internal reliability and between-subscale correlations with the original instrument. The parental feeding dimensions of ‘instrumental feeding’ (i.e. using food as a reward) and ‘emotional feeding’ (i.e. feeding in response to children''s emotional distress) were positively related to children''s snacking behaviour. The feeding style ‘encouragement to eat’ was negatively associated with children''s snacking behaviour. Various feeding styles were found to be related to parental dietary behaviours. Findings indicate the importance of acknowledging parental feeding styles in future research efforts as well as in the development of family-based interventions promoting healthy eating habits among children. [Copyright &y& Elsevier]
Published: 2010
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20. Diet-related restrictive parenting practices. Impact on dietary intake of 2-year-old children and interactions with child characteristics

Author: Gubbels, Jessica S., Kremers, Stef P.J., Stafleu, Annette, Dagnelie, Pieter C., Goldbohm, R. Alexandra, de Vries, Nanne K., and Thijs, Carel
Subjects: *PARENTING, *CHILD nutrition & psychology, *CHILD psychology, *INGESTION, *FOOD habits, *FOOD consumption, *PRINCIPAL components analysis, *CROSS-sectional method
Abstract: Abstract: This study examined the relationship between diet-related parenting practices, parental characteristics, child characteristics, and 2-year-old child''s dietary intake. Cross-sectional data (N =2578) originated from the KOALA Birth Cohort Study. Principal component analyses revealed two restrictive parenting practice clusters: a cluster characterized by prohibition of the intake of various snacks and soft drinks, and a separate cluster characterized by prohibition of cookies and cake. Regression analyses showed that these clusters were related to the children''s behavioural style (i.e. oppositional, depressive and/or aggressive behaviour) and to educational level, age and alternative lifestyle of the mother. The clusters also had a favourable influence on dietary intake (i.e. restrictive parenting practices were related to less consumption of the restricted (unhealthy) items and higher consumption of items considered to be healthy), which was moderated by child characteristics. The parenting practices showed a stronger association with dietary intake in children with a favourable behavioural style (i.e. non-depressed, low anxious, low overactive), a favourable eating style or a lower BMI. The findings suggest opportunities for preventive interventions focussing on parents of young children, and indicate that different approaches to parenting practice interventions are needed for different types of children. [Copyright &y& Elsevier]
Published: 2009
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21. Fish and seafood consumption during pregnancy and the risk of asthma and allergic rhinitis in childhood

Author: Fabienne Pelé, Ulrike Gehring, Carolina Moltó-Puigmartí, Marin Strøm, Tanja G. M. Vrijkotte, Emily Oken, Costanza Pizzi, Manolis Kogevinas, Leda Chatzi, Henrique Barros, Martine Vrijheid, Maurice P. Zeegers, Theano Roumeliotaki, Jordi Sunyer, Sian M. Robinson, John Mehegan, Andreia Oliveira, Lorenzo Richiardi, Maria Pia Fantini, Sylvaine Cordier, Ferran Ballester, Nina Iszatt, Herman T. den Dekker, Greet Schoeters, Monique Mommers, Hazel Inskip, Mikel Basterrechea, Carel Thijs, Renate H. M. de Groot, Alet H. Wijga, Marij Gielen, Maria Jansen, Nikos Stratakis, Merete Eggesbø, Liesbeth Duijts, Sjurdur F. Olsen, Eva Govarts, Francesco Forastiere, Davide Gori, Daniela Porta, Sheryl L. Rifas-Shiman, Cecily Kelleher, Erasmus MC other, Pediatrics, Epidemiology, Department FEEEL, RS-Research Line Fostering Effective, Efficient and Enjoyable Learning (FEEEL) (part of WO program), Instituto de Saúde Pública, Stratakis, Niko, Roumeliotaki, Theano, Oken, Emily, Ballester, Ferran, Barros, Henrique, Basterrechea, Mikel, Cordier, Sylvaine, de Groot, Renate, den Dekker, Herman T, Duijts, Liesbeth, Eggesbø, Merete, Pia Fantini, Maria, Forastiere, Francesco, Gehring, Ulrike, Gielen, Marij, Gori, Davide, Govarts, Eva, Inskip, Hazel M, Iszatt, Nina, Jansen, Maria, Kelleher, Cecily, Mehegan, John, Moltó-Puigmartí, Carolina, Mommers, Monique, Oliveira, Andreia, Olsen, Sjurdur F, Pelé, Fabienne, Pizzi, Costanza, Porta, Daniela, Richiardi, Lorenzo, Rifas-Shiman, Sheryl L, Robinson, Sian M, Schoeters, Greet, Strøm, Marin, Sunyer, Jordi, Thijs, Carel, Vrijheid, Martine, Vrijkotte, Tanja G M, Wijga, Alet H, Kogevinas, Manoli, Zeegers, Maurice P, Chatzi, Leda, LS IRAS EEPI ME (Milieu epidemiologie), dIRAS RA-2, Complexe Genetica, RS: CAPHRI - R5 - Optimising Patient Care, RS: NUTRIM - R3 - Respiratory & Age-related Health, RS: NUTRIM - R4 - Gene-environment interaction, Health Services Research, RS: CAPHRI - R2 - Creating Value-Based Health Care, and Epidemiologie
Subjects: Male, Mediterranean diet, Epidemiology, CHILDREN, Cohort Studies, 0302 clinical medicine, Fish, Fruit and Other Food, Surveys and Questionnaires, Seafood consumption, Prevalence, 030212 general & internal medicine, seafood, Child, Prenatal Nutritional Physiological Phenomena, 2. Zero hunger, medicine.diagnostic_test, JAPANESE INFANTS, General Medicine, 3. Good health, Europe, MEDITERRANEAN DIET, LUNG-FUNCTION, Child, Preschool, Regression Analysis, Female, Generation R, pregnancy, FATTY-ACIDS, medicine.symptom, allergic rhiniti, Cohort study, Fish consumption, WHEEZE, Asthma - Children, ECZEMA, 03 medical and health sciences, children, Environmental health, Wheeze, Fatty Acids, Omega-3, medicine, Animals, Humans, Respiratory sounds, Respiratory Sounds, Asthma, PRENATAL EXPOSURE, fish, Pregnancy, allergic rhinitis, Wheezing, wheezing, business.industry, asthma, MATERNAL FOOD-CONSUMPTION, Infant, Newborn, Infant, medicine.disease, Rhinitis, Allergic, United States, 030228 respiratory system, Allergic rhinitis - Children, Relative risk, GENERATION R, Human medicine, business
Abstract: Background: It has been suggested that prenatal exposure to n-3 long-chain fatty acids protects against asthma and other allergy-related diseases later in childhood. The extent to which fish intake in pregnancy protects against child asthma and rhinitis symptoms remains unclear. We aimed to assess whether fish and seafood consumption in pregnancy is associated with childhood wheeze, asthma and allergic rhinitis. Methods: We pooled individual data from 60 774 mother-child pairs participating in 18 European and US birth cohort studies. Information on wheeze, asthma and allergic rhinitis prevalence was collected using validated questionnaires. The time periods of interest were: infancy (0-2 years), preschool age (3-4 years), and school age (5-8 years). We used multivariable generalized models to assess associations of fish and seafood (other than fish) consumption during pregnancy with child respiratory outcomes in cohort-specific analyses, with subsequent random-effects meta-analyses. Results: The median fish consumption during pregnancy ranged from 0.44 times/week in The Netherlands to 4.46 times/week in Spain. Maternal fish intake during pregnancy was not associated with offspring wheeze symptoms in any age group nor with the risk of child asthma [adjusted meta-analysis relative risk (RR) per 1-time/week = 1.01, 95% confidence interval 0.97-1.05)] and allergic rhinitis at school age (RR = 1.01, 0.99-1.03). These results were consistently found in further analyses by type of fish and seafood consumption and in sensitivity analyses. Conclusion: We found no evidence supporting a protective association of fish and seafood consumption during pregnancy with offspring symptoms of wheeze, asthma and allergic rhinitis from infancy to mid childhood. This work was supported by the European Community’s Seventh Framework Program [EU- FP7- HEALTH-2009-single-stage-241604]. Details of funding per cohort are available at IJE online.
Published: 2017

22. Maternal body mass index, gestational weight gain, and the risk of overweight and obesity across childhood: An individual participant data meta-analysis

Author: Vincent W. V. Jaddoe, Deirdre M. Murray, Juha Pekkanen, Anne M. Karvonen, Martine Vrijheid, Kinga Polańska, Oleksandr Zvinchuk, Johanna Mäkelä, Louise C. Kenny, Costanza Pizzi, Adriette J. J. M. Oostvogels, Debbie A Lawlor, Elisabeth Thiering, Sara Farchi, Bernadeta Patro Golab, Ellis Voerman, Sheryl L. Rifas-Shiman, George Moschonis, Rae-Chi Huang, Suzanne Tough, Camilla Stoltenberg, John Wright, Jane West, Irina Lehmann, Wojciech Hanke, Leda Chatzi, Hanna Lagström, Henrique Barros, Keith M. Godfrey, Graham Devereux, Barbara Heude, Emily Oken, Lorenzo Richiardi, Francesco Forastiere, Tomas Trnovec, Andrea von Berg, Cécile Chevrier, Ellen A. Nohr, Maria Pia Fantini, Sheila McDonald, Carol Ní Chaoimh, Tanja G. M. Vrijkotte, Maties Torrent, Davide Gori, Anna Bergström, Anne-Marie Nybo Andersen, Nathalie Costet, Marie-Aline Charles, Veit Grote, Lenie van Rossem, Alet H. Wijga, Daniel O. Hryhorczuk, Yannis Manios, Trevor A. Mori, Monique Mommers, Renata Majewska, John Mehegan, Hazel Inskip, Romy Gaillard, Camilla Schmidt Morgen, George P. Chrousos, Thorkild I. A. Sørensen, Pilar Amiano, Eleni Papadopoulou, Nina Iszatt, Sarah Crozier, Carel Thijs, Irva Hertz-Picciotto, Sandra Ekström, Leanne K. Küpers, Ana Cristina Santos, Ferran Ballester, Fionnuala M. McAuliffe, Marie Standl, Luca Ronfani, Merete Eggesbø, Eva Corpeleijn, Agnieszka Pac, Berthold Koletzko, Vagelis Georgiu, Susana Santos, Daniela Porta, Per Magnus, Steve Turner, Ma, Ronald CW, Erasmus University Medical Center [Rotterdam] (Erasmus MC), Centre de Recherche Épidémiologie et Statistique Sorbonne Paris Cité (CRESS (U1153 / UMR_A_1125 / UMR_S_1153)), Institut National de la Recherche Agronomique (INRA)-Université Paris Diderot - Paris 7 (UPD7)-Université Paris Descartes - Paris 5 (UPD5)-Université Sorbonne Paris Cité (USPC)-Institut National de la Santé et de la Recherche Médicale (INSERM), Keck School of Medicine [Los Angeles], University of Southern California (USC), Institut de recherche en santé, environnement et travail (Irset), Université d'Angers (UA)-Université de Rennes (UR)-École des Hautes Études en Santé Publique [EHESP] (EHESP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Structure Fédérative de Recherche en Biologie et Santé de Rennes ( Biosit : Biologie - Santé - Innovation Technologique ), Azienda Sanitaria Locale [ROMA] (ASL), Université d'Angers (UA)-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-École des Hautes Études en Santé Publique [EHESP] (EHESP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Structure Fédérative de Recherche en Biologie et Santé de Rennes ( Biosit : Biologie - Santé - Innovation Technologique ), Reproductive Origins of Adult Health and Disease (ROAHD), Lifestyle Medicine (LM), Université Paris Diderot - Paris 7 (UPD7)-Université Sorbonne Paris Cité (USPC)-Université Paris Descartes - Paris 5 (UPD5)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de la Recherche Agronomique (INRA), Voerman, Elli, Santos, Susana, Patro Golab, Bernadeta, Amiano, Pilar, Ballester, Ferran, Barros, Henrique, Bergström, Anna, Charles, Marie-Aline, Chatzi, Leda, Chevrier, Cécile, Chrousos, George P., Corpeleijn, Eva, Costet, Nathalie, Crozier, Sarah, Devereux, Graham, Eggesbø, Merete, Ekström, Sandra, Fantini, Maria Pia, Farchi, Sara, Forastiere, Francesco, Georgiu, Vageli, Godfrey, Keith M., Gori, Davide, Grote, Veit, Hanke, Wojciech, Hertz-Picciotto, Irva, Heude, Barbara, Hryhorczuk, Daniel, Huang, Rae-Chi, Inskip, Hazel, Iszatt, Nina, Karvonen, Anne M., Kenny, Louise C., Koletzko, Berthold, Küpers, Leanne K., Lagström, Hanna, Lehmann, Irina, Magnus, Per, Majewska, Renata, Mäkelä, Johanna, Manios, Yanni, McAuliffe, Fionnuala M., McDonald, Sheila W., Mehegan, John, Mommers, Monique, Morgen, Camilla S., Mori, Trevor A., Moschonis, George, Murray, Deirdre, Chaoimh, Carol Ní, Nohr, Ellen A., Nybo Andersen, Anne-Marie, Oken, Emily, Oostvogels, Adriëtte J J M, Pac, Agnieszka, Papadopoulou, Eleni, Pekkanen, Juha, Pizzi, Costanza, Polanska, Kinga, Porta, Daniela, Richiardi, Lorenzo, Rifas-Shiman, Sheryl L., Ronfani, Luca, Santos, Ana C., Standl, Marie, Stoltenberg, Camilla, Thiering, Elisabeth, Thijs, Carel, Torrent, Matie, Tough, Suzanne C., Trnovec, Toma, Turner, Steve, van Rossem, Lenie, von Berg, Andrea, Vrijheid, Martine, Vrijkotte, Tanja G M, West, Jane, Wijga, Alet, Wright, John, Zvinchuk, Oleksandr, Sørensen, Thorkild I A, Lawlor, Debbie A., Gaillard, Romy, Jaddoe, Vincent W V, Complexe Genetica, RS: NUTRIM - R3 - Respiratory & Age-related Health, Epidemiologie, RS: CAPHRI - R5 - Optimising Patient Care, Université Paris Diderot - Paris 7 (UPD7)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de la Recherche Agronomique (INRA)-Université Paris Descartes - Paris 5 (UPD5)-Université Sorbonne Paris Cité (USPC), Nofer Institute of Occupational Medicine, ARD - Amsterdam Reproduction and Development, Public and occupational health, APH - Aging & Later Life, APH - Health Behaviors & Chronic Diseases, APH - Methodology, Veterinary Biosciences, Department of Public Health, University of Helsinki, and Clinicum
Subjects: Data Analysis, embarazo, Maternal Health, Blood Pressure, CHILDREN, Weight Gain, Cardiovascular, Vascular Medicine, Body Mass Index, 0302 clinical medicine, Endocrinology, Pregnancy, Medicine, Mass index, estudios de cohortes, Cancer, 030219 obstetrics & reproductive medicine, Statistics, WOMEN, ta3141, General Medicine, 030220 oncology & carcinogenesis, Meta-analysis, Physical Sciences, Gestation, HEALTH, INTERVENTION, Childhood Obesity, Endocrine Disorders, 03 medical and health sciences, Hypertensive Disorders in Pregnancy, Clinical Research, Diabetes Mellitus, Humans, Gestational Diabetes, Statistical Methods, Individual participant data, Prevention, Australia, Biology and Life Sciences, Odds ratio, medicine.disease, Obesity, Generic health relevance, Body mass index, Mathematics, Demography, Pediatric Obesity, Nutrition and Disease, Physiology, humanos, Reproductive health and childbirth, 030204 cardiovascular system & hematology, Overweight, Medical and Health Sciences, Oral and gastrointestinal, Cohort Studies, Mathematical and Statistical Techniques, Risk Factors, Voeding en Ziekte, OFFSPRING OBESITY, Medicine and Health Sciences, 030212 general & internal medicine, Childhood obesity, 2. Zero hunger, Pediatric, sobrepeso, Medicine (all), Obstetrics and Gynecology, Metaanalysis, 3142 Public health care science, environmental and occupational health, Gestational Weight Gain, obesidad pediátrica, Europe, Stroke, PREGNANCY, Physiological Parameters, gestational weight gain, pregnancy, obesity, Hypertension, Female, medicine.symptom, Research Article, BIRTH, [SDV.MHEP.GEO]Life Sciences [q-bio]/Human health and pathology/Gynecology and obstetrics, Research and Analysis Methods, General & Internal Medicine, factores de riesgo, Life Science, Metabolic and endocrine, Nutrition, business.industry, índice de masa corporal, Body Weight, 3121 General medicine, internal medicine and other clinical medicine, Metabolic Disorders, North America, Women's Health, business, Maternal body, Gestiational diabetes, Weight gain
Abstract: Background Maternal obesity and excessive gestational weight gain may have persistent effects on offspring fat development. However, it remains unclear whether these effects differ by severity of obesity, and whether these effects are restricted to the extremes of maternal body mass index (BMI) and gestational weight gain. We aimed to assess the separate and combined associations of maternal BMI and gestational weight gain with the risk of overweight/obesity throughout childhood, and their population impact. Methods and findings We conducted an individual participant data meta-analysis of data from 162,129 mothers and their children from 37 pregnancy and birth cohort studies from Europe, North America, and Australia. We assessed the individual and combined associations of maternal pre-pregnancy BMI and gestational weight gain, both in clinical categories and across their full ranges, with the risks of overweight/obesity in early (2.0–5.0 years), mid (5.0–10.0 years) and late childhood (10.0–18.0 years), using multilevel binary logistic regression models with a random intercept at cohort level adjusted for maternal sociodemographic and lifestyle-related characteristics. We observed that higher maternal pre-pregnancy BMI and gestational weight gain both in clinical categories and across their full ranges were associated with higher risks of childhood overweight/obesity, with the strongest effects in late childhood (odds ratios [ORs] for overweight/obesity in early, mid, and late childhood, respectively: OR 1.66 [95% CI: 1.56, 1.78], OR 1.91 [95% CI: 1.85, 1.98], and OR 2.28 [95% CI: 2.08, 2.50] for maternal overweight; OR 2.43 [95% CI: 2.24, 2.64], OR 3.12 [95% CI: 2.98, 3.27], and OR 4.47 [95% CI: 3.99, 5.23] for maternal obesity; and OR 1.39 [95% CI: 1.30, 1.49], OR 1.55 [95% CI: 1.49, 1.60], and OR 1.72 [95% CI: 1.56, 1.91] for excessive gestational weight gain). The proportions of childhood overweight/obesity prevalence attributable to maternal overweight, maternal obesity, and excessive gestational weight gain ranged from 10.2% to 21.6%. Relative to the effect of maternal BMI, excessive gestational weight gain only slightly increased the risk of childhood overweight/obesity within each clinical BMI category (p-values for interactions of maternal BMI with gestational weight gain: p = 0.038, p < 0.001, and p = 0.637 in early, mid, and late childhood, respectively). Limitations of this study include the self-report of maternal BMI and gestational weight gain for some of the cohorts, and the potential of residual confounding. Also, as this study only included participants from Europe, North America, and Australia, results need to be interpreted with caution with respect to other populations. Conclusions In this study, higher maternal pre-pregnancy BMI and gestational weight gain were associated with an increased risk of childhood overweight/obesity, with the strongest effects at later ages. The additional effect of gestational weight gain in women who are overweight or obese before pregnancy is small. Given the large population impact, future intervention trials aiming to reduce the prevalence of childhood overweight and obesity should focus on maternal weight status before pregnancy, in addition to weight gain during pregnancy., Vincent Jaddoe and colleagues report that a high BMI before pregnancy, rather than excessive gestational weight gain, is more likely to contribute to childhood obesity., Author summary Why was this study done? Maternal pre-pregnancy obesity and excessive gestational weight gain are important risk factors of various pregnancy and birth complications. An accumulating body of evidence suggests that maternal obesity and excessive gestational weight gain also have persistent effects on offspring fat development. It is not clear whether these effects exist across the full ranges of maternal pre-pregnancy body mass index and gestational weight gain, what their combined effects are, and what the population impact of these effects is. What did the researchers do and find? We conducted an individual participant data meta-analysis using data from 162,129 mothers and their children from 37 pregnancy and birth cohorts from Europe, North America, and Australia to assess the separate and combined associations of maternal pre-pregnancy body mass index and gestational weight gain with the risk of overweight/obesity throughout childhood, and their population impact. We observed not only that maternal pre-pregnancy overweight and obesity were associated with an increased risk of childhood overweight/obesity, but that this risk increased gradually over the full range of maternal BMI. Similarly, the risk of childhood overweight/obesity increased across the full range of gestational weight gain. We estimated that 21.7% to 41.7% of childhood overweight/obesity prevalence could be attributed to maternal overweight and obesity together, whereas 11.4% to 19.2% could be attributed to excessive gestational weight gain. The additional effect of excessive gestational weight gain on the risk of childhood overweight/obesity was small among women who are already overweight or obese before pregnancy. What do these findings mean? Maternal pre-pregnancy BMI and, to a smaller extent, gestational weight gain are important modifiable risk factors of childhood overweight/obesity with considerable population impact. Future intervention trials aiming to reduce the prevalence of childhood overweight and obesity should focus on maternal weight status before pregnancy, in addition to weight status during pregnancy.
Published: 2019
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23. Influence of maternal obesity on the association between common pregnancy complications and risk of childhood obesity : an individual participant data meta-analysis

Author: Bernadeta Patro Golab, Susana Santos, Ellis Voerman, Debbie A Lawlor, Vincent W V Jaddoe, Romy Gaillard, Henrique Barros, Anna Bergström, Marie-Aline Charles, Leda Chatzi, Cécile Chevrier, George P Chrousos, Eva Corpeleijn, Nathalie Costet, Sarah Crozier, Graham Devereux, Merete Eggesbø, Sandra Ekström, Maria P Fantini, Sara Farchi, Francesco Forastiere, Vagelis Georgiu, Keith M Godfrey, Davide Gori, Wojciech Hanke, Irva Hertz-Picciotto, Barbara Heude, Daniel Hryhorczuk, Hazel Inskip, Jesus Ibarluzea, Louise C Kenny, Leanne K Küpers, Hanna Lagström, Irina Lehmann, Virissa Lenters, Sabrina Llop Llop, Per Magnus, Renata Majewska, Johanna Mäkelä, Yannis Manios, Fionnuala M McAuliffe, Sheila W McDonald, John Mehegan, Monique Mommers, Camilla S Morgen, George Moschonis, Deirdre Murray, Carol Ní Chaoimh, Ellen A Nøhr, Anne-Marie Nybo Andersen, Emily Oken, Adriëtte JJM Oostvogels, Agnieszka Pac, Eleni Papadopoulou, Costanza Pizzi, Kinga Polanska, Daniela Porta, Lorenzo Richiardi, Sheryl L Rifas-Shiman, Franca Rusconi, Ana C Santos, Henriette A Smit, Thorkild IA Sørensen, Marie Standl, Camilla Stoltenberg, Jordi Sunyer, Michelle Taylor, Elisabeth Thiering, Carel Thijs, Maties Torrent, Suzanne C Tough, Tomas Trnovec, Steve Turner, Lenie van Rossem, Andrea von Berg, Martine Vrijheid, Tanja Vrijkotte, Jane West, John Wright, Oleksandr Zvinchuk, Vincent WV Jaddoe, RS: CAPHRI - R5 - Optimising Patient Care, Epidemiologie, Erasmus MC other, Pediatrics, Epidemiology, Patro Golab, Bernadeta, Santos, Susana, Voerman, Elli, Lawlor, Debbie A, Jaddoe, Vincent W V, Gaillard, Romy, Barros, Henrique, Bergström, Anna, Charles, Marie-Aline, Chatzi, Leda, Chevrier, Cécile, Chrousos, George P, Corpeleijn, Eva, Costet, Nathalie, Crozier, Sarah, Devereux, Graham, Eggesbø, Merete, Ekström, Sandra, Fantini, Maria P, Farchi, Sara, Forastiere, Francesco, Georgiu, Vageli, Godfrey, Keith M, Gori, Davide, Hanke, Wojciech, Hertz-Picciotto, Irva, Heude, Barbara, Hryhorczuk, Daniel, Inskip, Hazel, Ibarluzea, Jesu, Kenny, Louise C, Küpers, Leanne K, Lagström, Hanna, Lehmann, Irina, Lenters, Virissa, Llop, Sabrina Llop, Magnus, Per, Majewska, Renata, Mäkelä, Johanna, Manios, Yanni, McAuliffe, Fionnuala M, McDonald, Sheila W, Mehegan, John, Mommers, Monique, Morgen, Camilla S, Moschonis, George, Murray, Deirdre, Ní Chaoimh, Carol, Nøhr, Ellen A, Nybo Andersen, Anne-Marie, Oken, Emily, Oostvogels, Adriëtte JJM, Pac, Agnieszka, Papadopoulou, Eleni, Pizzi, Costanza, Polanska, Kinga, Porta, Daniela, Richiardi, Lorenzo, Rifas-Shiman, Sheryl L, Rusconi, Franca, Santos, Ana C, Smit, Henriette A, Sørensen, Thorkild IA, Standl, Marie, Stoltenberg, Camilla, Sunyer, Jordi, Taylor, Michelle, Thiering, Elisabeth, Thijs, Carel, Torrent, Matie, Tough, Suzanne C, Trnovec, Toma, Turner, Steve, van Rossem, Lenie, von Berg, Andrea, Vrijheid, Martine, Vrijkotte, Tanja, West, Jane, Wright, John, Zvinchuk, Oleksandr, Jaddoe, Vincent WV, APH - Aging & Later Life, Public and occupational health, Graduate School, ARD - Amsterdam Reproduction and Development, APH - Health Behaviors & Chronic Diseases, and APH - Methodology
Subjects: Gestational hypertension, Pediatric Obesity, CHILDREN, Reproductive health and childbirth, Overweight, Cardiovascular, Pediatrics, Body Mass Index, North America/epidemiology, 0302 clinical medicine, Pre-Eclampsia, Risk Factors, Pregnancy, wq_248, Developmental and Educational Psychology, Medicine, 2.1 Biological and endogenous factors, Pediatrics, Perinatology and Child Health, 030212 general & internal medicine, Early childhood, Aetiology, Child, POPULATION, Pediatric, education.field_of_study, OUTCOMES, Obstetrics, Diabetes, MOCO Study Group Authors, GESTATIONAL DIABETES-MELLITUS, Perinatology and Child Health, Perinatology, 3. Good health, WEIGHT-GAIN, and Child Health, Gestational diabetes, Europe, PREECLAMPSIA, Pediatric Obesity/epidemiology, Child, Preschool, Gestational, Hypertension, GROWTH, Female, HEALTH, medicine.symptom, medicine.medical_specialty, Adolescent, Population, 030209 endocrinology & metabolism, wa_310, Pregnancy-Induced, Article, Childhood obesity, Europe/epidemiology, 03 medical and health sciences, ws_115, SDG 3 - Good Health and Well-being, HYPERGLYCEMIA, Clinical Research, Animals, Humans, Obesity, Pediatrics, Perinatology, and Child Health, education, Preschool, Life Style, Metabolic and endocrine, Nutrition, OVERWEIGHT, business.industry, Contraception/Reproduction, Prevention, Hypertension, Pregnancy-Induced, Odds ratio, Perinatal Period - Conditions Originating in Perinatal Period, medicine.disease, Pregnancy Complications, Diabetes, Gestational, North America, Obesity/complications, business
Abstract: Background: Gestational diabetes and gestational hypertensive disorders are associated with offspring obesity, but the role of maternal adiposity in these associations remains unclear. We aimed to investigate whether these pregnancy complications affect the odds of offspring obesity independently of maternal obesity. Methods: We did an individual participant data (IPD) meta-analysis of mother–offspring pairs from prospective birth cohort studies that had IPD on mothers with singleton liveborn children born from 1989 onwards and had information available about maternal gestational diabetes, gestational hypertension or pre-eclampsia, and childhood body-mass index (BMI). We applied multilevel mixed-effects models to assess associations of gestational diabetes, gestational hypertension, and pre-eclampsia with BMI SD scores and the odds of overweight and obesity throughout childhood, adjusting for lifestyle characteristics (offspring's sex, maternal age, educational level, ethnicity, parity, and smoking during pregnancy). We then explored the extent to which any association was explained by maternal pre-pregnancy or early-pregnancy BMI. Findings: 160 757 mother–offspring pairs from 34 European or North American cohorts were analysed. Compared with uncomplicated pregnancies, gestational diabetes was associated with increased odds of overweight or obesity throughout childhood (odds ratio [OR] 1·59 [95% CI 1·36 to 1·86] for early childhood [age 2·0–4·9 years], 1·41 [1·26 to 1·57] for mid childhood [5·0–9·9 years], and 1·32 [0·97 to 1·78] for late childhood [10·0–17·9 years]); however, these associations attenuated towards the null following adjustment for maternal BMI (OR 1·35 [95% CI 1·15 to 1·58] for early childhood, 1·12 [1·00 to 1·25] for mid childhood, and 0·96 [0·71 to 1·31] for late childhood). Likewise, gestational hypertension was associated with increased odds of overweight throughout childhood (OR 1·19 [95% CI 1·01 to 1·39] for early childhood, 1·23 [1·15 to 1·32] for mid childhood, and 1·49 [1·30 to 1·70] for late childhood), but additional adjustment for maternal BMI largely explained these associations (1·01 [95% CI 0·86 to 1·19] for early childhood, 1·02 [0·95 to 1·10] for mid childhood, and 1·18 [1·03 to 1·36] for late childhood). Pre-eclampsia was associated with decreased BMI in early childhood only (difference in BMI SD score −0·05 SD score [95% CI −0·09 to −0·01]), and this association strengthened following additional adjustment for maternal BMI. Interpretation: Although lowering maternal risk of gestational diabetes, gestational hypertension, and pre-eclampsia is important in relation to maternal and fetal pregnancy outcomes, such interventions are unlikely to have a direct impact on childhood obesity. Preventive strategies for reducing childhood obesity should focus on maternal BMI rather than on pregnancy complications. Funding: EU's Horizon 2020 research and innovation programme (LifeCycle Project). This study has received support from the US National Institute of Health (R01 DK10324) and European Research Council under the European Union’s Seventh 22 Framework Programme (FP7/2007-2013) / ERC grant agreement no 669545. The Swedish Research Council, The Swedish Heart and Lung Foundation, The Swedish Research Council for Working Life and Social Welfare, the Swedish Asthma and Allergy Association Research Foundation, The Swedish Research Council Formas, Stockholm County Council, and the European Commission’s Seventh Framework 29 Program MeDALL under grant agreement No. 261357. This study has received support from the British Heart Foundation (CS/16/4/32482), US National Institute of Health (R01 DK10324) and European Research Council under the European Union’s Seventh Framework Programme (FP7/2007-2013) / ERC grant agreement no 669545. The general design of the Generation R Study is made possible by financial support from the Erasmus MC, University Medical Center, Rotterdam, Erasmus University Rotterdam, Netherlands Organization for Health Research and Development (ZonMw), Netherlands Organisation for Scientific Research (NWO), Ministry of Health, Welfare and Sport and Ministry of Youth and Families. Research leading to these results has received funding from the European Union's Seventh Framework Programme (FP7/2007- 2013), project EarlyNutrition under grant agreement n°289346, the European Union’s Horizon 2020 research and innovation programme under grant agreement No 633595 (DynaHEALTH) and the European Union’s Horizon 2020 research and innovation programme under grant agreement 733206 (LifeCycle Project). European Community's Seventh Framework Programme (FP7/2007-2013) under grant agreements Early Nutrition n° 289346 and by funds from the Norwegian Research Council's MILPAAHEL programme, project No.213148. This study was funded by Grants from UE (FP7-ENV-2011 cod 282957 and HEALTH.2010.2.4.5-1), Spain: ISCIII (G03/176; FIS-FEDER: PI09/02647, PI11/01007, PI11/02591, PI11/02038, PI13/1944, PI13/2032, PI14/00891, PI14/01687, and PI16/1288; Miguel Servet-FEDER CP11/00178, CP15/00025, and CPII16/00051), and Generalitat Valenciana: FISABIO (UGP 15-230, UGP-15-244, and UGP-15-249). The "Rhea" project was financially supported by European projects (EU FP6-2003-Food-3-NewGeneris, EU FP6. STREP Hiwate, EU FP7 ENV.2007.1.2.2.2. Project No 211250 Escape, EU FP7-2008-ENV-28.1.2.1.4 envirogenomarkers, EU FP7-HEALTH-2009- single stage CHICOS, EU FP7 ENV.2008.1.2.1.6. Proposal No 226285 ENRIECO, EU- FP7- HEALTH-2012 Proposal No 308333 HELIX) and the Greek Ministry of Health (Program of Prevention of obesity and neurodevelopmental disorders in preschool children, in Heraklion district, Crete, Greece: 2011-2014; “Rhea Plus”: Primary Prevention Program of Environmental Risk Factors for Reproductive Health, and Child Health: 2012-15). ROLO is supported by the Health Research Board Ireland, the Health Research Centre for Health and Diet Research, and the European Union's Seventh Framework Programme (FP7/2007-2013), project EarlyNutrition under grant agreement no. 289346. The SWS is supported by grants from the Medical Research Council, National Institute for Health Research Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton National Health Service Foundation Trust, and the European Union’s Seventh Framework Programme (FP7/2007-2013), project EarlyNutrition (grant 289346). Study participants were drawn from a cohort study funded by the Medical Research Council and the Dunhill Medical Trust.
Published: 2018

24. Does early onset asthma increase childhood obesity risk? A pooled analysis of 16 European cohorts

Author: Zuelma A Contreras, Evelien R. van Meel, Monique Mommers, Hazel Inskip, Leda Chatzi, Andrea von Berg, Sandra Ekström, Zhanghua Chen, Mario Murcia, Margreet W Harskamp-van Ginkel, Carmen Iñiguez, Beatrix Gerhard, Alet H. Wijga, Irina Lehmann, Esben Eller, Isabella Annesi-Maesano, Nour Baïz, Thomas Keil, Nikos Stratakis, Jordi Sunyer, Sarah Crozier, Joachim Heinrich, Marie Standl, Tanja G. M. Vrijkotte, Theano Roumeliotaki, Maties Torrent, Dieter Maier, Davide Gori, Daniela Porta, Maria Pia Fantini, Henrik Fomsgaard Kjaer, Henriette A. Smit, Manolis Kogevinas, Frank D. Gilliland, Francesco Forastiere, Susanne Lau, Anna Bergström, Liesbeth Duijts, Carel Thijs, Kiros Berhane, Public and occupational health, ARD - Amsterdam Reproduction and Development, APH - Aging & Later Life, APH - Health Behaviors & Chronic Diseases, APH - Methodology, Epidemiology, Pediatrics, Erasmus MC other, Contreras, Zuelma A., Chen, Zhanghua, Roumeliotaki, Theano, Annesi-Maesano, Isabella, Baïz, Nour, von Berg, Andrea, Bergström, Anna, Crozier, Sarah, Duijts, Liesbeth, Ekström, Sandra, Eller, Esben, Fantini, Maria P., Kjaer, Henrik Fomsgaard, Forastiere, Francesco, Gerhard, Beatrix, Gori, Davide, Harskamp-van Ginkel, Margreet W., Heinrich, Joachim, Iñiguez, Carmen, Inskip, Hazel, Keil, Thoma, Kogevinas, Manoli, Lau, Susanne, Lehmann, Irina, Maier, Dieter, van Meel, Evelien R., Mommers, Monique, Murcia, Mario, Porta, Daniela, Smit, Henriëtte A, Standl, Marie, Stratakis, Niko, Sunyer, Jordi, Thijs, Carel, Torrent, Matie, Vrijkotte, Tanja G M, Wijga, Alet H., Berhane, Kiro, Gilliland, Frank, Chatzi, Leda, Epidemiologie, RS: CAPHRI - R5 - Optimising Patient Care, Complexe Genetica, and RS: NUTRIM - R3 - Respiratory & Age-related Health
Subjects: Pulmonary and Respiratory Medicine, Male, Allergy, Pediatrics, medicine.medical_specialty, Pediatric Obesity, Infants -- Malalties, CHILDREN, Overweight, PROFILE, Childhood obesity, Article, Cohort Studies, 03 medical and health sciences, 0302 clinical medicine, SDG 3 - Good Health and Well-being, Risk Factors, Wheeze, medicine, Humans, 030212 general & internal medicine, Risk factor, Age of Onset, Child, Asma, Asthma, Respiratory Sounds, OVERWEIGHT, business.industry, INCIDENT ASTHMA, medicine.disease, Obesity, Rhinitis, Allergic, 3. Good health, respiratory tract diseases, BODY-MASS INDEX, ALLERGY, Europe, Phenotype, 030228 respiratory system, Child, Preschool, Obesitat, Female, Age of onset, medicine.symptom, business
Abstract: The parallel epidemics of childhood asthma and obesity over the past few decades have spurred research into obesity as a risk factor for asthma. However, little is known regarding the role of asthma in obesity incidence. We examined whether early-onset asthma and related phenotypes are associated with the risk of developing obesity in childhood.This study includes 21 130 children born from 1990 to 2008 in Denmark, France, Germany, Greece, Italy, The Netherlands, Spain, Sweden and the UK. We followed non-obese children at 3-4 years of age for incident obesity up to 8 years of age. Physician-diagnosed asthma, wheezing and allergic rhinitis were assessed up to 3-4 years of age.Children with physician-diagnosed asthma had a higher risk for incident obesity than those without asthma (adjusted hazard ratio (aHR) 1.66, 95% CI 1.18-2.33). Children with active asthma (wheeze in the last 12 months and physician-diagnosed asthma) exhibited a higher risk for obesity (aHR 1.98, 95% CI 1.31-3.00) than those without wheeze and asthma. Persistent wheezing was associated with increased risk for incident obesity compared to never wheezers (aHR 1.51, 95% CI 1.08-2.09).Early-onset asthma and wheezing may contribute to an increased risk of developing obesity in later childhood. This work was partially supported by the Southern California Environmental Health Sciences Center (grant # P30ES007048) funded by the National Institute of Environmental Health Sciences [PI Gilliland]. Dr. Contreras was supported by a grant from the NIH T32ES013678. MEDALL and CHICOS Projects: The research leading to these results has received funding from the European Community’s Seventh Framework Program(Health–F2-grantagreements No. 261357 and 241604). Per cohort ABCD: Data of the Amsterdam Born Children and their Development cohort study used in this research was in part supported by funds from the Netherlands Organisation for Health Research and Development (ZonMw 40–00812-98–11010). The study sponsors had no role in study design, data analysis, interpretation of data, or writing of this report. BAMSE: We acknowledge all funding sources: The Swedish Research Council, The Swedish Heart and Lung Foundation, The Swedish Research Council for Working Life and Social Welfare, the Swedish Asthma and Allergy Association Research Foundation, The Swedish Research Council Formas, Stockholm County Council, and the European Commission’s Seventh Framework 29 Program Me DALL under grant agreement No.261357. We thank all the children and their parents for participating in the BAMSE cohort and the nurses and other staff members working in the BAMSE project. EDEN: We acknowledge all the funding sources for the EDEN study: Foundation for medical research (FRM), National Agency for Research (ANR), National Institute for Research in Public health (IRESP: TGIR cohorte santé 2008 program), French Ministry of Health (DGS), French Ministry of Research, INSERM Bone and Joint Diseases National Research (PRO-A) and Human Nutrition National Research Programs, Paris–Sud University, Nestlé, French National Institute for Population Health Surveillance (InVS),French National Institute for Health Education (INPES), the European Union FP7programmes (FP7/2007-2013, HELIX, ESCAPE, ENRIECO, Medall projects), Diabetes National Research Program (through a collaboration with the French Association of Diabetic Patients (AFD)), French Agency for Environmental Health Safety (now ANSES), Mutuelle Générale de l’Education Nationale a complementary health insurance (MGEN),French national agency for food security, French speaking association for the study ofdiabetes and metabolism (ALFEDIAM).We acknowledge the commitment of the EDEN mother-child cohort study group: I.Annesi-Maesano, JY. Bernard, J. Botton, M.A. Charles, P. Dargent-Molina, B. de Lauzon-Guillain, P. Ducimetière, M. de Agostini, B. Foliguet, , A. Forhan, X. Fritel, A. Germa, V.Goua, R. Hankard, B. Heude, M. Kaminski, B. Larroque†, N. Lelong, J. Lepeule, G.Magnin, L. Marchand, C. Nabet, F. Pierre, R. Slama, M.J. Saurel-Cubizolles, M.Schweitzer, O. Thiebaugeorges.The Generation R Study:The Generation R study is made possible by financial support from the Erasmus Medical Center, Rotterdam, the Erasmus University Rotterdam, the Netherlands Organization for Health Research and Development (ZonMw), the Netherlands Organisation for Scientific Research (NWO), the Ministry of Health, Welfareand Sport and the Ministry of Youth and Families. The project received funding from the European Union's Horizon 2020 research and innovation programme (LIFECYCLE project, grant agreement no 733206; 2016), the European Research Council (ERC-2014-CoG-648916) and from cofunded ERA-Net on Biomarkers for Nutrition and Health (ERAHDHL), Horizon 2020 (grant agreement no 696295; 2017), ZonMW The Netherlands (no529051014; 2017), Science Foundation Ireland (no SFI/16/ERA-HDHL/3360), and the European Union (ALPHABET project).The researchers are independent from the funders. The study sponsors had no role in study design, data analysis, interpretation of data, or writing of this report. INMA: Data used for this research was provided by the INMA-Environment and Childhood Project (www.proyectoinma.org). This study was funded by grants from Instituto de Salud Carlos III (Red INMA G03/176 and CB06/02/0041), Spanish Ministry of Health (FIS-PIO41436, PI06/0867, PI081151, and FIS-FEDER 03/1615, 04/1112,04/1931, 05/1079, 05/1052, 06/1213, 07/0314 and 09/02647), Generalitat de Catalunya-CIRIT 1999SGR00241, the Conselleria de Sanitat Generalitat Valenciana, Department of Health of the Basque Government (2005111093 and 2009111069), the ProvincialGovernment of Gipuzkoa (DFG06/004 and DFG08/001).KOALA: The collection of the data from the KOALA Birth Cohort Study used in this analysis was financially supported by Friesland Foods (now Friesland Campina),Netherlands Asthma Foundation (grant numbers 3.2.07.022 and 3.2.03.48), Netherlands Heart Foundation (grant number 2014 T037, the Netherlands Organization for Health Research and Development (Zon Mw Prevention Program number 1.210-00-090), Triodos Foundation, Phoenix Foundation, Raphaël Foundation, Iona Foundation, Foundation forthe Advancement of Heilpedagogie, all in the Netherlands. MAS:The MAS birth cohort was funded by grants from the German Federal Ministry ofEducation and Research (BMBF; reference numbers 07015633, 07 ALE 27, 01EE9405/5,01EE9406) and the German Research Foundation (DFG; reference number KE 1462/2-1).PIAMA: The PIAMA study has been funded by The Netherlands Organisation for Health Research and Development; The Netherlands Organisation for Scientific Research; The Netherlands Asthma fund; The Netherlands Ministry of Spatial Planning Housing, and the Environment; and The Netherlands Ministry of Health, Welfare and Sport. RHEA: The Rhea project was financially supported by European projects (EU FP6-003-Food-3-NewGeneris -Contract No16320, EU FP6 STREP Hiwate -Contract No36224,EU FP7 ENV.2007.1.2.2.2. Project No 211250 Escape, EU FP7-2008-ENV-1.2.1.4 Envirogenomarkers Contract No226756, EU FP7-HEALTH-2009-single stage CHICOS Contract No241604, EU FP7 ENV.2008.1.2.1.6. Proposal No 226285 ENRIECO, EU-FP7,Proposal No 264357 MeDALL, EU- FP7-HEALTH-2012 Proposal No 308333 HELIX),and the Greek Ministry of Health (Program of Prevention of obesity and neurodevelopmental disorders in preschool children, in Heraklion district, Crete, Greece:2011-2014; “Rhea Plus”: Prevention Program of Environmental Risk Factors for Reproductive Health, and Child Health: 2012-2015).ROBBIC: Data of the Rome cohort was in part supported byfunds from the Italian Ministry of Health (Programma speciale ex art. 12, comma 2, lettera b) del D. Lgs. 502/92,2001, 2003). We thank all the fields workers and the families for their contribution to thestudy. SWS: We thank the members of the Southampton Women's Survey Study group and the many participants in the SWS for their contribution to the study. The Southampton Women’s Survey is supported by grants from the Medical Research Council, British Heart Foundation, Food Standards Agency, British Lung Foundation, Arthritis Research UK, NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, and the European Union's Seventh Framework Programme (FP7/2007-2013), project Early Nutrition under grant agreement n°289346.
Published: 2018

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24 results on '"Thijs, Carel"'

1. Breast milk n-3 long-chain polyunsaturated fatty acids and blood pressure: an individual participant meta-analysis

2. European Birth Cohorts for Environmental Health Research

3. Critical Hours and Important Environments: Relationships between Afterschool Physical Activity and the Physical Environment Using GPS, GIS and Accelerometers in 10–12-Year-Old Children

4. Association of picky eating around age 4 with dietary intake and weight status in early adulthood: A 14-year follow-up based on the KOALA birth cohort study.

5. Preterm birth, infant weight gain, and childhood asthma risk: A meta-analysis of 147,000 European children

6. Energy balance-related parenting and child-care practices: The importance of meso-system consistency.

7. CD14 polymorphisms in mother and infant, soluble CD14 in breast milk and atopy development in the infant (KOALA Study)

8. Influence of vitamin D on key bacterial taxa in infant microbiota in the KOALA Birth Cohort Study.

9. Bidirectional associations between activity-related parenting practices, and child physical activity, sedentary screen-based behavior and body mass index: a longitudinal analysis.

10. Parental perception of child’s weight status and subsequent BMIz change: the KOALA birth cohort study.

11. Development of the Comprehensive General Parenting Questionnaire for caregivers of 5-13 year olds.

12. Clustering of energy balance-related behaviors in 5-year-old children: Lifestyle patterns and their longitudinal association with weight status development in early childhood.

13. γ-Linolenic acid supplementation for prophylaxis of atopic dermatitis-a randomized controlled trial in infants at high familial risk.

14. Influence of Alternative Lifestyles on Antibiotic Use during Pregnancy, Lactation and in Children.

15. Asthma and physical activity in childhood

16. Longitudinal association of neighborhood variables with Body Mass Index in Dutch school-age children: The KOALA Birth Cohort Study.

17. Health effects of chronic noise exposure in pregnancy and childhood: A systematic review initiated by ENRIECO

18. Validating the Children's Behavior Questionnaire in Dutch Children: Psychometric Properties and a Cross-Cultural Comparison of Factor Structures.

19. Relationship between parental feeding styles and eating behaviours of Dutch children aged 6–7

20. Diet-related restrictive parenting practices. Impact on dietary intake of 2-year-old children and interactions with child characteristics

21. Fish and seafood consumption during pregnancy and the risk of asthma and allergic rhinitis in childhood

22. Maternal body mass index, gestational weight gain, and the risk of overweight and obesity across childhood: An individual participant data meta-analysis

23. Influence of maternal obesity on the association between common pregnancy complications and risk of childhood obesity : an individual participant data meta-analysis

24. Does early onset asthma increase childhood obesity risk? A pooled analysis of 16 European cohorts

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