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Michalopoulou S, Sifaki M, Packer J, Lanigan J, Stansfield C, Viner RM, Russell S. Assessing the impact of obesity interventions in the early years: a systematic review of UK-based studies. BMJ Open 2024; 14:e076479. [PMID: 38740507 PMCID: PMC11097867 DOI: 10.1136/bmjopen-2023-076479] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/08/2023] [Accepted: 02/13/2024] [Indexed: 05/16/2024] Open
Abstract
OBJECTIVES Childhood obesity rates in the UK are high. The early years of childhood are critical for establishing healthy behaviours and offer interventional opportunities. We aimed to identify studies evaluating the impact of UK-based obesity interventions in early childhood. DESIGN Systematic review using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. DATA SOURCES Nine databases were searched in March 2023. ELIGIBILITY CRITERIA We included UK-based obesity intervention studies delivered to children aged 6 months to 5 years that had diet and/or physical activity components and reported anthropometric outcomes. The primary outcome of interest was z-score Body Mass Index (zBMI) change (within and between subjects). Studies evaluating the effects of breastfeeding interventions were not included as obesity prevention interventions, given that best-practice formula feeding is also likely to encourage healthy growth. The publication date for studies was limited to the previous 12 years (2011-23), as earlier reviews found few evaluations of interventions in the UK. DATA EXTRACTION AND SYNTHESIS The reviewers worked independently using standardised approach to search, screen and code the included studies. Risk of bias was assessed using Cochrane tools (ROB 2 or ROBINS-I). RESULTS Six trials (five studies) were identified, including two randomised controlled trials (RCT), one cluster randomised trial (CRT), two feasibility CRTs and one impact assessment. The total number of participants was 566. Three trials focused on disadvantaged families and two included high-risk children categorised as having overweight or obesity. Compared with baseline, five interventions reported reductions in zBMI, three of which were statistically significant (p<0.05). Compared with control, five interventions showed zBMI reductions, one of which was significant. Only two trials were followed up beyond 12 months. All studies were found to have a high risk of bias. Meta-analysis was not possible due to the heterogeneity of studies. CONCLUSION UK evidence was limited but some interventions showed promising results in promoting healthy growth. As part of a programme of policies, interventions in the early years may have an important role in reducing the risk of childhood obesity. PROSPERO REGISTRATION NUMBER CRD42021290676.
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Affiliation(s)
- Semina Michalopoulou
- Great Ormond Street Institute of Child Health, University College London, London, UK
| | - Maria Sifaki
- Institute of Epidemiology and Health Care, University College London, London, UK
| | - Jessica Packer
- Great Ormond Street Institute of Child Health, University College London, London, UK
| | - Julie Lanigan
- Great Ormond Street Institute of Child Health, University College London, London, UK
| | | | - Russell M Viner
- Great Ormond Street Institute of Child Health, University College London, London, UK
| | - Simon Russell
- Great Ormond Street Institute of Child Health, University College London, London, UK
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Floegel A, Intemann T, Siani A, Moreno LA, Molnár D, Veidebaum T, Hadjigeorgiou C, De Henauw S, Hunsberger M, Eiben G, Ahrens W, Wolters M. Cohort-Based Reference Values for Serum Ferritin and Transferrin and Longitudinal Determinants of Iron Status in European Children Aged 3-15 Years. J Nutr 2024; 154:658-669. [PMID: 38048991 PMCID: PMC10900138 DOI: 10.1016/j.tjnut.2023.12.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2023] [Revised: 11/10/2023] [Accepted: 12/01/2023] [Indexed: 12/06/2023] Open
Abstract
BACKGROUND Reference values of ferritin and transferrin for European children do not exist. OBJECTIVE We aimed to provide sex-, age-, and body mass index (BMI)-specific serum ferritin and transferrin reference percentiles of 3-15-y-old children based on cohort data and to investigate determinants of iron status. METHODS A total of 3390 ferritin and 3416 transferrin measurements from children residing in 8 European countries participating in the IDEFICS/I.Family cohort (https://www.isrctn.com/ISRCTN62310987) at baseline (W0) and 6 y later (W3) were used to estimate percentiles using the generalized additive model for location, scale and shape. Associations of serum ferritin and transferrin concentrations with total iron intake, total iron intake additionally adjusted for vitamin C intake, and iron from heme sources were investigated separately with adjustment for sex, age, country of residence, parental education, usual energy intake and BMI z-score in regression models using cross-sectional and longitudinal data. RESULTS The age-specific ferritin and transferrin 5th and 95th reference percentiles ranged from 10.9 to 81.1 μg/L and 2.23 to 3.56 g/L, respectively. A deficient iron status was observed in 3% of children at W0 and 7% of children and adolescents at W3, respectively. At both waves, a higher iron intake from heme sources was positively associated with serum ferritin {W0: β = 3.21 [95% confidence interval (CI): 0.71, 5.71]; W3: β = 4.48 [95% CI: 2.09, 6.87]}, that is, children consuming one mg more heme iron had a 3.21 and 4.48 μg/L higher ferritin concentration. Adherence to a mainly vegetarian diet was associated with a lower chance for sufficient serum ferritin cross-sectionally at W3 [odds ratio (OR) 0.40 (95% CI: 0.21, 0.81)] and longitudinally [OR 0.35 (95% CI: 0.15, 0.93)]. CONCLUSIONS Age-, sex-, and BMI-specific reference percentiles of serum ferritin and transferrin concentrations based on cohort data are provided for European children aged 3-15 y and may be used in clinical practice.
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Affiliation(s)
- Anna Floegel
- Section of Dietetics, Faculty of Agriculture and Food Sciences, Hochschule Neubrandenburg - University of Applied Sciences, Neubrandenburg, Germany; Leibniz Institute for Prevention Research and Epidemiology - BIPS, Bremen, Germany
| | - Timm Intemann
- Leibniz Institute for Prevention Research and Epidemiology - BIPS, Bremen, Germany
| | - Alfonso Siani
- Institute of Food Sciences, National Research Council, Avellino, Italy
| | - Luis A Moreno
- GENUD (Growth, Exercise, Nutrition and Development) Research Group, Faculty of Health Sciences, Universidad de Zaragoza, Instituto Agroalimentario de Aragón (IA2), Instituto de Investigación Sanitaria Aragón (IIS Aragón), Zaragoza, Spain; Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain
| | - Dénes Molnár
- Department of Pediatrics, Medical School, University of Pécs, Pécs, Hungary
| | - Toomas Veidebaum
- National Institute for Health Development, Estonian Centre of Behavioral and Health Sciences, Tallinn, Estonia
| | | | - Stefaan De Henauw
- Department of Public Health and Primary Care, Ghent University, Ghent, Belgium
| | - Monica Hunsberger
- Section for Epidemiology and Social Medicine, Department of Public Health and Community Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Gabriele Eiben
- Department of Public Health, School of Health Sciences, University of Skövde, Skövde, Sweden
| | - Wolfgang Ahrens
- Leibniz Institute for Prevention Research and Epidemiology - BIPS, Bremen, Germany; Faculty of Mathematics and Computer Science, Institute of Statistics, University of Bremen, Bremen, Germany
| | - Maike Wolters
- Leibniz Institute for Prevention Research and Epidemiology - BIPS, Bremen, Germany.
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Rolls BJ, Roe LS, Keller KL. Children's Energy Intake Generally Increases in Response to the Energy Density of Meals but Varies with the Amounts and Types of Foods Served. Am J Clin Nutr 2024; 119:185-195. [PMID: 37890673 PMCID: PMC10808835 DOI: 10.1016/j.ajcnut.2023.10.019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2023] [Revised: 09/24/2023] [Accepted: 10/19/2023] [Indexed: 10/29/2023] Open
Abstract
BACKGROUND Food energy density (ED; kcal/g) is positively related to energy intake in numerous studies. A recent secondary analysis proposed that when the ED of consumed food is above a breakpoint, adults sense calories and adjust meal size to minimize overconsumption. OBJECTIVES We conducted a secondary analysis of measured intakes in preschool children to assess how meal energy intake was related to meal ED as well as to meal portions, eating occasions, and menus. METHODS We analyzed weighed intakes from 6355 meals served to 94 children aged 3 to 5 y in 2 randomized crossover trials. We provided children with all their daily food and milk for multiple periods of 5 consecutive days in their usual childcare setting. We used linear mixed models with repeated measures to analyze the effects on energy intake of meal ED and meal weight, either as served or as consumed. RESULTS Energy intake at meals was related to the ED and portions of served food and also to the ED and weight of consumed food (all P < 0.0001). Energy intake was also significantly affected by the eating occasion and the foods served on the menus. Children selectively ate higher-ED items, which were served in smaller amounts than lower-ED options. Meal energy intake was curvilinear across consumed ED; it initially increased (slope: 113 ± 2 kcal/ED unit) but decreased at higher-ED meals (deceleration: -11 ± 1 kcal/ED unit2) without evidence of a clear breakpoint. This trajectory may be attributable to the relatively limited portions of higher-ED foods that were served. CONCLUSIONS Children's energy intake generally increased with greater ED; at higher-ED meals, however, energy intake decreased in a curvilinear manner without a clear breakpoint. This reduction in intake at higher ED could be explained by meal-related factors such as the portions served rather than by sensitivity to meal energy content. This study was registered at clinicaltrials.gov as NCT03010501 and NCT03242863.
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Affiliation(s)
- Barbara J Rolls
- Department of Nutritional Sciences, The Pennsylvania State University, University Park, PA, United States.
| | - Liane S Roe
- Department of Nutritional Sciences, The Pennsylvania State University, University Park, PA, United States
| | - Kathleen L Keller
- Department of Nutritional Sciences, The Pennsylvania State University, University Park, PA, United States; Department of Food Science, The Pennsylvania State University, University Park, PA, United States
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Dello Russo M, Formisano A, Lauria F, Ahrens W, Bogl LH, Eiben G, De Henauw S, Hebestreit A, Intemann T, Hunsberger M, Lissner L, Molnar D, Pala V, Papoutsou S, Santaliestra-Pasias AM, Veidebaum T, Wolters M, Siani A, Russo P. Dietary Diversity and Its Association with Diet Quality and Health Status of European Children, Adolescents, and Adults: Results from the I.Family Study. Foods 2023; 12:4458. [PMID: 38137262 PMCID: PMC10743104 DOI: 10.3390/foods12244458] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2023] [Revised: 12/04/2023] [Accepted: 12/06/2023] [Indexed: 12/24/2023] Open
Abstract
Dietary diversity (DD) plays a crucial role in fostering high-quality diets, but its association with health outcomes, particularly body adiposity and non-communicable diseases (NCDs), is inconsistent. This may be due to a lack of a standardized method for estimating DD. Our study investigates the association between two DD indices, namely the dietary diversity score (DDS) and food variety score (FVS), and anthropometric measures, biochemical parameters, and diet quality in a large population sample from the I.Family study across research centers in eight European countries. In our cross-sectional analysis of 3035 participants, DDSs varied among countries, with a higher prevalence in the third DDS tertile among those with higher education. DDS showed a positive association with diet quality across all age groups. Higher DDS tertile individuals showed increased fiber, fruit, and vegetable intake, greater meal frequency, and lower ultra-processed food consumption. No relevant biochemical differences were observed across DDS tertiles, and a higher DDS was associated with lower overweight/obesity prevalence only in adults. No significant associations were found with FVS. Our findings emphasize the need to consider food groups for a more accurate estimation of diet quality. This aligns with studies suggesting DDS alone is not an independent risk factor for obesity in children and adolescents. Public health programs should prioritize food diversity to promote improved nutrition and overall well-being in communities.
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Affiliation(s)
- Marika Dello Russo
- Institute of Food Sciences, National Research Council, 83100 Avellino, Italy; (M.D.R.); (A.F.); (A.S.); (P.R.)
| | - Annarita Formisano
- Institute of Food Sciences, National Research Council, 83100 Avellino, Italy; (M.D.R.); (A.F.); (A.S.); (P.R.)
| | - Fabio Lauria
- Institute of Food Sciences, National Research Council, 83100 Avellino, Italy; (M.D.R.); (A.F.); (A.S.); (P.R.)
| | - Wolfgang Ahrens
- Leibniz Institute for Prevention Research and Epidemiology—BIPS, 28359 Bremen, Germany; (W.A.); (A.H.); (T.I.); (M.W.)
- Institute of Statistics, Faculty of Mathematics and Computer Science, Bremen University, 28359 Bremen, Germany
| | - Leonie H. Bogl
- School of Health Professions, Bern University of Applied Sciences, 3008 Bern, Switzerland;
- Finnish Institute of Molecular Medicine, University of Helsinki, 00100 Helsinki, Finland
| | - Gabriele Eiben
- Department of Public Health, School of Health Sciences, University of Skövde, 541 28 Skövde, Sweden;
- Department of Public Health and Community Medicine, University of Gothenburg, 405 30 Gothenburg, Sweden
| | - Stefaan De Henauw
- Department of Public Health and Primary Care, Ghent University, 9000 Ghent, Belgium;
| | - Antje Hebestreit
- Leibniz Institute for Prevention Research and Epidemiology—BIPS, 28359 Bremen, Germany; (W.A.); (A.H.); (T.I.); (M.W.)
| | - Timm Intemann
- Leibniz Institute for Prevention Research and Epidemiology—BIPS, 28359 Bremen, Germany; (W.A.); (A.H.); (T.I.); (M.W.)
| | - Monica Hunsberger
- Department of Public Health and Community Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, 413 90 Gothenburg, Sweden; (M.H.); (L.L.)
| | - Lauren Lissner
- Department of Public Health and Community Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, 413 90 Gothenburg, Sweden; (M.H.); (L.L.)
| | - Denes Molnar
- Department of Pediatrics, Medical School, University of Pécs, 7624 Pécs, Hungary;
| | - Valeria Pala
- Department of Preventive and Predictive Medicine, Fondazione IRCCS, Istituto Nazionale dei Tumori, 20133 Milan, Italy;
| | - Stalo Papoutsou
- Research and Education Institute of Child Health, Attikis 8, 2027 Strovolos, Cyprus;
| | - Alba M. Santaliestra-Pasias
- NUTRI-GENUD (Growth, Exercise, Nutrition and Development) Research Group, Faculty of Health Sciences and Sports, Instituto Agroalimentario de Aragón (IA2), Instituto de Investigación Sanitaria Aragón (IIS Aragón), Universidad de Zaragoza, 50009 Zaragoza, Spain;
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBERobn), Instituto de Salud Carlos III, 28029 Madrid, Spain
| | - Toomas Veidebaum
- National Institute for Health Development, Center of Health and Behavioral Science, 11619 Tallinn, Estonia;
| | - Maike Wolters
- Leibniz Institute for Prevention Research and Epidemiology—BIPS, 28359 Bremen, Germany; (W.A.); (A.H.); (T.I.); (M.W.)
| | - Alfonso Siani
- Institute of Food Sciences, National Research Council, 83100 Avellino, Italy; (M.D.R.); (A.F.); (A.S.); (P.R.)
| | - Paola Russo
- Institute of Food Sciences, National Research Council, 83100 Avellino, Italy; (M.D.R.); (A.F.); (A.S.); (P.R.)
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The energy density of meals and snacks consumed by young Australian adults (18-30 years old) are influenced by preparation location but not screen use nor social interactions: findings from the MYMeals wearable camera study. J Nutr Sci 2022; 11:e76. [PMID: 36304816 PMCID: PMC9554418 DOI: 10.1017/jns.2022.76] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2022] [Revised: 08/12/2022] [Accepted: 08/24/2022] [Indexed: 12/14/2022] Open
Abstract
The present study examined the association of contextual factors (social and food preparation location) with the energy density of meals and snacks consumed in a sample of young Australian adults (18-30 years old) identified using wearable camera technology. Over three consecutive days, a subsample of young adults wore a wearable camera that captured images in 30 s intervals. Eating episodes from 133 participants were annotated for preparation location and social context (covering social interaction and screen use). Over the same period, participants completed daily 24 h recalls. The nutritional composition of meals and snacks was calculated by matching the items identified in the camera to the 24 h recall using time and date stamps. Self-reported data (weight and height) was used to calculate body mass index and (residential postcode) to assign socio-economic status. The association of context and demographic factors with energy density was determined using a mixed linear regression model employing the bootstrap method with bias-corrected and accelerated. In total, 1817 eating episodes were included in the analysis (n 8 preparation unclear and n 15 food components could not be identified excluded). Food prepared within the home was 1⋅1 kJ/g less energy-dense than other preparation locations. Lunches (CI -1⋅7 to -0⋅3) and dinners (CI -1⋅6 to -0⋅5) were both 1⋅0 kJ/g lower in energy density than breakfasts. Snacks were 3⋅5 kJ/g (CI 2⋅8-4⋅1) more energy-dense than breakfasts. Food prepared outside the home and food consumption during snacking appear to be adversely contributing to energy-dense food intake.
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Wolters M, Intemann T, Russo P, Moreno LA, Molnár D, Veidebaum T, Tornaritis M, De Henauw S, Eiben G, Ahrens W, Floegel A. 25-Hydroxyvitamin D reference percentiles and the role of their determinants among European children and adolescents. Eur J Clin Nutr 2022; 76:564-573. [PMID: 34302130 PMCID: PMC8993686 DOI: 10.1038/s41430-021-00985-4] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2021] [Revised: 07/06/2021] [Accepted: 07/08/2021] [Indexed: 02/07/2023]
Abstract
BACKGROUND/OBJECTIVES To provide age- and sex-specific percentile curves of serum 25-hydroxyvitamin D (25(OH)D) by determinants from 3-<15 year-old European children, and to analyse how modifiable determinants influence 25(OH)D. SUBJECTS/METHODS Serum samples were collected from children of eight European countries participating in the multicenter IDEFICS/I.Family cohort studies. Serum 25(OH)D concentrations were analysed in a central lab by a chemiluminescence assay and the values from 2171 children (N = 3606 measurements) were used to estimate percentile curves using the generalized additive model for location, scale and shape. The association of 25(OH)D with time spent outdoors was investigated considering sex, age, country, parental education, BMI z score, UV radiation, and dietary vitamin D in regressions models. RESULTS The age- and sex-specific 5th and 95th percentiles of 25(OH)D ranged from 16.5 to 73.3 and 20.8 to 79.3 nmol/l in girls and boys, respectively. A total of 63% had deficient (<50 nmol/l), 33% insufficient (50-<75 nmol/l) and 3% sufficient (≥75 nmol/l) levels. 25(OH)D increased with increasing UV radiation, time spent outdoors, and vitamin D intake and slightly decreased with increasing BMI z score and age. The odds ratio (OR) for a non-deficient 25(OH)D status (reference category: deficient status) by one additional hour spent outdoors was 1.21, 95% CI [1.12-1.31], i.e., children who spent one more hour per day outdoors than other children had a 21% higher chance of a non-deficient than a deficient status. CONCLUSION A majority of children suffer from deficient 25(OH)D. UV radiation, outdoor time, and dietary vitamin D are important determinants of 25(OH)D.
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Affiliation(s)
- Maike Wolters
- Leibniz Institute for Prevention Research and Epidemiology-BIPS, Bremen, Germany.
| | - Timm Intemann
- Leibniz Institute for Prevention Research and Epidemiology-BIPS, Bremen, Germany
| | - Paola Russo
- Institute of Food Sciences, National Research Council, Avellino, Italy
| | - Luis A Moreno
- GENUD (Growth, Exercise, Nutrition and Development) Research Group, Faculty of Health Sciences, Universidad de Zaragoza, Instituto Agroalimentario de Aragón (IA2), Instituto de Investigación Sanitaria Aragón (IIS Aragón), Zaragoza, Spain and Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain
| | - Dénes Molnár
- Department of Pediatrics, Medical School, University of Pécs, Pécs, Hungary
| | - Toomas Veidebaum
- National Institute for Health Development, Estonian Centre of Behavioral and Health Sciences, Tallinn, Estonia
| | | | - Stefaan De Henauw
- Department of Public Health and Primary Care, Ghent University, Ghent, Belgium
| | - Gabriele Eiben
- Department of Public Health and Community Medicine, University of Gothenburg, Gothenburg, Sweden
- Department of Public Health, School of Health Sciences, University of Skövde, Skövde, Sweden
| | - Wolfgang Ahrens
- Leibniz Institute for Prevention Research and Epidemiology-BIPS, Bremen, Germany
- Institute of Statistics, Faculty of Mathematics and Computer Science, University of Bremen, Bremen, Germany
| | - Anna Floegel
- Leibniz Institute for Prevention Research and Epidemiology-BIPS, Bremen, Germany
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Billich N, Evans M, Truby H, Ryan MM, Davidson ZE. The association between dietary factors and body weight and composition in boys with Duchenne muscular dystrophy. J Hum Nutr Diet 2021; 35:804-815. [PMID: 34936149 DOI: 10.1111/jhn.12987] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2021] [Revised: 11/28/2021] [Accepted: 12/13/2021] [Indexed: 11/30/2022]
Abstract
BACKGROUND Duchenne muscular dystrophy (DMD) is a X-linked neuromuscular disorder. Boys with DMD have high rates of obesity, but little is known about dietary factors that may contribute to weight gain in this population. This study aimedto explore the relationship between dietary factors, body mass index (BMI) z-score, body composition and motor function and to describe dietary intake in boys with DMD. METHODOLOGY A cross-sectional analysis of 3-day food diaries from ambulant and steroid treated boys with DMD aged 5-13 years was conducted. Correlation analysis explored the relationship between dietary factors, BMI z-score, fat mass % (FM%) and lean mass (LM%). RESULTS Themedian agewas 8.5 years [interquartile range (IQR) 7.2, 10.5]. Median energy/kg/day in those within a healthy weight range (n=11) was316 kJ/kg/day [IQR 276, 355] and greater than estimated requirements; and forthose above a healthy weight (n=26) energy intake was 185kJ/kg/day [IQR 143, 214] and lower than estimated requirements. Energy/kg/day was negatively associatedwith BMI z-score (r=-0. 650) and FM% (r=-0.817)but positively associated with LM% (r=0.805, all analyses p =<0.01). Younger age was associated (r=-0.609 p=<0.01) with a higher energy/kg/day. For all participants vegetable, grains, meat/alternatives and dairy intake was sub-optimal. PRINCIPAL CONCLUSIONS Younger boys with DMD within a healthy weight range are overconsuming energy dense nutrient poor foods. A focus on improving diet quality during early childhood may prove a useful strategy to reduce excess weight gain and support healthier eating habits in this vulnerable clinical population. This article is protected by copyright. All rights reserved.
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Affiliation(s)
- Natassja Billich
- Department of Nutrition, Dietetics and Food, School of Clinical Sciences at Monash Health, Faculty of Medicine, Nursing and Health Sciences, Monash University, Victoria, Australia.,The Royal Children's Hospital, Melbourne, Victoria, Australia
| | - Maureen Evans
- Department of Nutrition, Dietetics and Food, School of Clinical Sciences at Monash Health, Faculty of Medicine, Nursing and Health Sciences, Monash University, Victoria, Australia.,The Royal Children's Hospital, Melbourne, Victoria, Australia
| | - Helen Truby
- School of Human Movement and Nutrition Sciences, The University of Queensland, Brisbane, Queensland, Australia.,School of Primary and Allied Health Care, Faculty of Medicine, Nursing and Health Sciences, Monash University, Victoria, Australia
| | - Monique M Ryan
- Department of Nutrition, Dietetics and Food, School of Clinical Sciences at Monash Health, Faculty of Medicine, Nursing and Health Sciences, Monash University, Victoria, Australia.,Department of Neurology, The Royal Children's Hospital, Melbourne, Victoria, Australia.,Murdoch Children's Research Institute, Melbourne, Victoria, Australia.,Department of Paediatrics,Faculty of Medicine, Dentistry and Health Sciences, Melbourne University, Victoria, Australia
| | - Zoe E Davidson
- Department of Nutrition, Dietetics and Food, School of Clinical Sciences at Monash Health, Faculty of Medicine, Nursing and Health Sciences, Monash University, Victoria, Australia.,Murdoch Children's Research Institute, Melbourne, Victoria, Australia.,Neurology Department, The Royal Children's Hospital, Melbourne, Victoria, Australia
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8
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Lauk J, Nurk E, Robertson A, Parlesak A. Culturally Optimised Nutritionally Adequate Food Baskets for Dietary Guidelines for Minimum Wage Estonian Families. Nutrients 2020; 12:nu12092613. [PMID: 32867197 PMCID: PMC7551125 DOI: 10.3390/nu12092613] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2020] [Revised: 08/20/2020] [Accepted: 08/24/2020] [Indexed: 11/16/2022] Open
Abstract
Although low socioeconomic groups have the highest risk of noncommunicable diseases in Estonia, national dietary guidelines and nutrition recommendations do not consider affordability. This study aims to help develop nutritionally adequate, health-promoting, and culturally acceptable dietary guidelines at an affordable price. Three food baskets (FBs) were optimised using linear programming to meet recommended nutrient intakes (RNIs), or Estonian dietary guidelines, or both. In total, 6255 prices of 422 foods were collected. The Estonian National Dietary Survey (ENDS) provided a proxy for cultural acceptability. Food baskets for a family of four, earning minimum wage, contain between 73 and 96 foods and cost between 10.66 and 10.92 EUR per day. The nutritionally adequate FB that does not follow Estonian dietary guidelines deviates the least (26% on average) from ENDS but contains twice the sugar, sweets, and savoury snacks recommended. The health-promoting FB (40% deviation) contains a limited amount of sugar, sweets, and savoury snacks. However, values for vitamin D, iodine, iron, and folate are low compared with RNIs, as is calcium for women of reproductive age. When both the RNIs and dietary guidelines are enforced, the average deviation (73%) and cost (10.92 EUR) are highest. The composition of these FBs can help guide the development of dietary guidelines for low income families in Estonia.
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Affiliation(s)
- Janne Lauk
- Clinical Research Centre, Department of Clinical Sciences, Faculty of Medicine, Lund University, Jan Waldenströms gata 35, 214 28 Malmö, Sweden;
- Global Nutrition and Health, University College Copenhagen, Sigurdsgade 26, 2200 Copenhagen, Denmark;
| | - Eha Nurk
- Department of Nutrition Research, National Institute for Health Development, Hiiu 42, 11619 Tallinn, Estonia;
| | - Aileen Robertson
- Global Nutrition and Health, University College Copenhagen, Sigurdsgade 26, 2200 Copenhagen, Denmark;
| | - Alexandr Parlesak
- Global Nutrition and Health, University College Copenhagen, Sigurdsgade 26, 2200 Copenhagen, Denmark;
- Correspondence:
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9
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Mindful eating: effects of a brief induction in the choice and intake of food in children. CURRENT PSYCHOLOGY 2020. [DOI: 10.1007/s12144-020-00764-7] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/13/2023]
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10
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Dairy Consumption at Snack Meal Occasions and the Overall Quality of Diet during Childhood. Prospective and Cross-Sectional Analyses from the IDEFICS/I.Family Cohort. Nutrients 2020; 12:nu12030642. [PMID: 32121167 PMCID: PMC7146220 DOI: 10.3390/nu12030642] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2020] [Revised: 02/21/2020] [Accepted: 02/25/2020] [Indexed: 12/22/2022] Open
Abstract
There is scarce information on the influence of dairy consumption between main meals on the overall diet quality through childhood, constituting the main aim of this research. From the Identification and prevention of Dietary- and lifestyle induced health EFfects In Children and infantS (IDEFICS) study, and based on the data availability in each period due to drop outs, 8807 children aged 2 to 9.9 years from eight European countries at baseline (T0: 2007-2008); 5085 children after two years (T1); and 1991 after four years (T3), were included in these analyses. Dietary intake and the Diet Quality Index (DQI) were assessed by two 24 hours dietary recalls (24-HDR) and food frequency questionnaire. Consumption of milk and yogurt (p = 0.04) and cheese (p < 0.001) at snack meal occasions was associated with higher DQI scores in T0; milk and yogurt (p < 0.001), and cheese (p < 0.001) in T1; and cheese (p = 0.05) in T3. Consumers of milk (p = 0.02), yogurt (p < 0.001), or cheese (p < 0.001) throughout T0 and T1 at all snack moments had significantly higher scores of DQI compared to non-consumers. This was also observed with the consumption of cheese between T1 and T3 (p = 0.03). Consumption of dairy products at snack moments through childhood is associated with a better overall diet quality, being a good strategy to improve it in this period.
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Cedillo YE, Garr-Barry V, Maciel B, Fernández JR. Dietary Energy-Density and Adiposity Markers Among a Cohort of Multi-ethnic Children. Matern Child Health J 2019; 23:1536-1546. [PMID: 31230169 PMCID: PMC8527864 DOI: 10.1007/s10995-019-02793-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
Abstract
BACKGROUND Evidence suggests that the association between dietary energy density (DED) and body composition in children is different than in adults. The purpose of this study was to measure if DED differed by race/ethnicity and if DED was associated with adiposity markers in children. METHODOLOGY Dietary intake and body composition were measured in a multi-ethnic sample of 307 children aged seven to 12 (39% European American, EA; 35% African American, AA; and 26% Hispanic American, HA). Dietary intake was measured by two 24-h recalls, and DED was calculated including and excluding energy-from beverages. Body composition was measured by dual-energy X-ray absorptiometry, and other measurements included height, waist circumference, and body mass index (BMI). Participants were evaluated by total sample and plausibility of reported energy intake. Analysis of variance, independence tests, and multiple regression models were performed. RESULTS A total of 33.5% of the children in the sample had a BMI ≥ 85 percentile. Among plausible reporters, the mean DEDSF+EB (solid food + energy-containing beverages) was ~ 128 kcal/100 g and mean DEDSF (solid food only) was 211 kcal/100 g. Pairwise comparisons among children showed that the mean of DED was higher in AA children compared to EA and HA children (p < 0.005). Regression models showed significant association (p < 0.05) between adiposity markers and DEDSF in both the total and plausible samples. CONCLUSION This study provides evidence of a significant difference of DED by race/ethnicity. Increased DED showed being a significant risk factor for adiposity among children. The associations were stronger when only plausible reporters were considered.
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Affiliation(s)
- Yenni E Cedillo
- Department of Nutrition Sciences, School of Health Professions, University of Alabama at Birmingham, Webb Building 1675 University Blvd, Birmingham, AL, 35294-3360, USA.
| | - Valene Garr-Barry
- Department of Nutrition Sciences, School of Health Professions, University of Alabama at Birmingham, Webb Building 1675 University Blvd, Birmingham, AL, 35294-3360, USA
| | - Beatriz Maciel
- Department of Nutrition Sciences, School of Health Professions, University of Alabama at Birmingham, Webb Building 1675 University Blvd, Birmingham, AL, 35294-3360, USA
| | - José R Fernández
- Department of Nutrition Sciences, School of Health Professions, University of Alabama at Birmingham, Webb Building 1675 University Blvd, Birmingham, AL, 35294-3360, USA
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12
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Bogl LH, Mehlig K, Intemann T, Masip G, Keski-Rahkonen A, Russo P, Michels N, Reisch L, Pala V, Johnson L, Molnár D, Tornaritis M, Veidebaum T, Moreno L, Ahrens W, Lissner L, Kaprio J, Hebestreit A. A within-sibling pair analysis of lifestyle behaviours and BMI z-score in the multi-centre I.Family study. Nutr Metab Cardiovasc Dis 2019; 29:580-589. [PMID: 30952577 DOI: 10.1016/j.numecd.2019.01.017] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/01/2018] [Revised: 01/15/2019] [Accepted: 01/30/2019] [Indexed: 12/19/2022]
Abstract
BACKGROUND AND AIMS By investigating differences in lifestyle behaviours and BMI in sibling pairs, family-level confounding is minimized and causal inference is improved, compared to cross-sectional studies of unrelated children. Thus, we aimed to investigate within-sibling pair differences in different lifestyle behaviours and differences in BMI z-scores in children and adolescents. METHODS AND RESULTS We examined three groups of sibling pairs 1) all same-sex sibling pairs with maximum 4 years age difference (n = 1209 pairs from 1072 families in 8 countries, mean age 10.7 years, standard deviation 2.4 years), 2) sibling pairs discordant for overweight (n = 262) and 3) twin pairs (n = 85). Usual dietary intake was estimated by 24-h recalls and time spent in light (LPA) and moderate-to-vigorous physical activity (MVPA) was measured by accelerometers. Screen time, sleep and dieting for weight loss were assessed by questionnaires. Within all 3 groups of sibling pairs, more time in MVPA was associated with lower BMI z-score. Higher energy intake was associated with higher BMI z-score within twin pairs and within all sibling pairs who were not currently dieting for weight loss. Regarding LPA, screen time or sleep duration, no or inconsistent associations were observed for the three groups of sibling pairs. CONCLUSIONS MVPA and energy intake were associated with BMI differences within sibling and twin pairs growing up in the same home, thus independent of family-level confounding factors. Future studies should explore whether genetic variants regulating appetite or energy expenditure behaviours account for weight differences in sibling pairs.
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Affiliation(s)
- L H Bogl
- Leibniz Institute for Prevention Research and Epidemiology - BIPS, Bremen, Germany.
| | - K Mehlig
- Department of Public Health and Community Medicine, Institute of Medicine, Sahlgrenska Academy at University of Gothenburg, Gothenburg, Sweden.
| | - T Intemann
- Leibniz Institute for Prevention Research and Epidemiology - BIPS, Bremen, Germany; Institute of Statistics, Faculty of Mathematics and Computer Science, University of Bremen, Bremen, Germany.
| | - G Masip
- Department of Public Health, University of Helsinki, Helsinki, Finland.
| | - A Keski-Rahkonen
- Department of Public Health, University of Helsinki, Helsinki, Finland.
| | - P Russo
- Institute of Food Sciences, National Research Council, Avellino, Italy.
| | - N Michels
- Department of Public Health, Ghent University, Ghent, Belgium.
| | - L Reisch
- Copenhagen Business School, Department of Management, Society and Communication, Frederiksberg, Denmark.
| | - V Pala
- Epidemiology and Prevention Unit Fondazione IRCCS Istituto Nazionale dei Tumori - Milan, Italy.
| | - L Johnson
- Centre for Exercise, Nutrition and Health Sciences, School for Policy Studies, University of Bristol, Bristol, UK.
| | - D Molnár
- Department of Pediatrics, Medical School, University of Pécs, Pécs, Hungary.
| | - M Tornaritis
- Research and Education Institute of Child Health, Strovolos, Cyprus.
| | - T Veidebaum
- Department of Chronic Diseases, National Institute for Health Development, Tallinn, Estonia.
| | - L Moreno
- GENUD (Growth, Exercise, Nutrition and Development) Research Group, Faculty of Health Sciences, University of Zaragoza, Zaragoza, Spain.
| | - W Ahrens
- Leibniz Institute for Prevention Research and Epidemiology - BIPS, Bremen, Germany; Institute of Statistics, Faculty of Mathematics and Computer Science, University of Bremen, Bremen, Germany.
| | - L Lissner
- Department of Public Health and Community Medicine, Institute of Medicine, Sahlgrenska Academy at University of Gothenburg, Gothenburg, Sweden.
| | - J Kaprio
- Department of Public Health, University of Helsinki, Helsinki, Finland; Institute of Molecular Medicine FIMM, University of Helsinki, Helsinki, Finland.
| | - A Hebestreit
- Leibniz Institute for Prevention Research and Epidemiology - BIPS, Bremen, Germany.
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13
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Hebestreit A, Thumann B, Wolters M, Bucksch J, Huybrechts I, Inchley J, Lange C, Lien N, Manz K, Slimani N, van der Ploeg HP, Ahrens W. Road map towards a harmonized pan-European surveillance of obesity-related lifestyle behaviours and their determinants in children and adolescents. Int J Public Health 2019; 64:615-623. [PMID: 30888434 DOI: 10.1007/s00038-019-01227-y] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2018] [Revised: 02/20/2019] [Accepted: 02/22/2019] [Indexed: 12/21/2022] Open
Abstract
OBJECTIVES To develop a road map towards a harmonized pan-European surveillance system for children and adolescents. METHODS Representatives of five European surveillance systems and the German Health Interview and Examination Survey for Children and Adolescents contributed to the road map through a structured workshop in 2016. RESULTS A conceptual framework for this road map was developed with seven action points (APs) guiding the successive cross-country harmonization. First, key indicators of health behaviour and their determinants in children and adolescents will be identified (AP1, 2); short screening instruments will be developed and implemented to assess and monitor key indicators (AP3, 4). In parallel, optional supplementary modules could be implemented to provide objective data (AP5). This would allow mutual calibration and improvement of existing instruments before their progressive replacement by more comparable measurement tools (AP6). The establishment of a competence platform is envisaged for guiding the harmonization process (AP7). CONCLUSIONS This approach builds on existing systems, provides comparable key health indicators across European regions, helps to assess temporal trends and-once in place-will facilitate health reporting and monitoring of national and international health targets.
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Affiliation(s)
- Antje Hebestreit
- Leibniz Institute for Prevention Research and Epidemiology - BIPS, Achterstr. 30, 28359, Bremen, Germany.
| | - Barbara Thumann
- Leibniz Institute for Prevention Research and Epidemiology - BIPS, Achterstr. 30, 28359, Bremen, Germany
| | - Maike Wolters
- Leibniz Institute for Prevention Research and Epidemiology - BIPS, Achterstr. 30, 28359, Bremen, Germany
| | - Jens Bucksch
- University of Education Heidelberg, Heidelberg, Germany
| | | | | | | | | | | | - Nadia Slimani
- International Agency for Research On Cancer, Lyon, France
| | | | - Wolfgang Ahrens
- Leibniz Institute for Prevention Research and Epidemiology - BIPS, Achterstr. 30, 28359, Bremen, Germany
- University of Bremen, Bremen, Germany
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14
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Rampelli S, Guenther K, Turroni S, Wolters M, Veidebaum T, Kourides Y, Molnár D, Lissner L, Benitez-Paez A, Sanz Y, Fraterman A, Michels N, Brigidi P, Candela M, Ahrens W. Pre-obese children's dysbiotic gut microbiome and unhealthy diets may predict the development of obesity. Commun Biol 2018; 1:222. [PMID: 30534614 PMCID: PMC6286349 DOI: 10.1038/s42003-018-0221-5] [Citation(s) in RCA: 58] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2018] [Accepted: 10/26/2018] [Indexed: 12/12/2022] Open
Abstract
It is widely accepted that the intestinal microbiome is connected to obesity, as key mediator of the diet impact on the host metabolic and immunological status. To investigate whether the individual gut microbiome has a potential in predicting the onset and progression of diseases, here we characterized the faecal microbiota of 70 children in a two-time point prospective study, within a four-year window. All children had normal weight at the beginning of this study, but 36 of them gained excessive weight at the subsequent check-up. Microbiome data were analysed together with the hosts' diet information, physical activity, and inflammatory parameters. We find that the gut microbiota structures were stratified into a discrete number of groups, characterized by different biodiversity that correlates with inflammatory markers and dietary habits, regardless of age, gender, and body weight. Collectively, our data underscore the importance of the microbiome-host-diet configuration as a possible predictor of obesity.
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Affiliation(s)
- Simone Rampelli
- Microbial Ecology of Health Unit, Department of Pharmacy and Biotechnology, University of Bologna, Via Belmeloro 6, 40126 Bologna, Italy
| | - Kathrin Guenther
- Leibniz Institute for Prevention Research and Epidemiology—BIPS, Achterstraße 30, 28359 Bremen, Germany
| | - Silvia Turroni
- Microbial Ecology of Health Unit, Department of Pharmacy and Biotechnology, University of Bologna, Via Belmeloro 6, 40126 Bologna, Italy
| | - Maike Wolters
- Leibniz Institute for Prevention Research and Epidemiology—BIPS, Achterstraße 30, 28359 Bremen, Germany
| | - Toomas Veidebaum
- Department of Chronic Diseases, National Institute for Health Development, Hiiu 42, 11619 Tallinn, Estonia
| | - Yiannis Kourides
- Research and Education Institute of Child Health, Stavrou Street 56, 2035 Strovolos, Cyprus
| | - Dénes Molnár
- Department of Paediatrics, Clinical Center, University of Pécs, József Attila u. 7, 7623 Pecs, Hungary
| | - Lauren Lissner
- Section for Epidemiology and Social Medicine, University of Gothenburg, Medicinaregatan 16, 40530 Gothenburg, Sweden
| | - Alfonso Benitez-Paez
- Microbial Ecology, Nutrition & Health Research Unit, Institute of Agrochemistry and Food Technology, National Research Council (IATA-CSIC), Avda. Catedrático Agustín Escardino 7, 46980 Valencia, Spain
| | - Yolanda Sanz
- Microbial Ecology, Nutrition & Health Research Unit, Institute of Agrochemistry and Food Technology, National Research Council (IATA-CSIC), Avda. Catedrático Agustín Escardino 7, 46980 Valencia, Spain
| | - Arno Fraterman
- Medizinisches Versorgungszentrum Dr. Eberhard & Partner Dortmund, Laboratoriumsmedizin Dortmund, Brauhausstraße 4, 44137 Dortmund, Germany
| | - Nathalie Michels
- Department of Public Health, Ghent University, Corneel Heymanslaan 10, 9000 Ghent, Belgium
| | - Patrizia Brigidi
- Microbial Ecology of Health Unit, Department of Pharmacy and Biotechnology, University of Bologna, Via Belmeloro 6, 40126 Bologna, Italy
| | - Marco Candela
- Microbial Ecology of Health Unit, Department of Pharmacy and Biotechnology, University of Bologna, Via Belmeloro 6, 40126 Bologna, Italy
| | - Wolfgang Ahrens
- Leibniz Institute for Prevention Research and Epidemiology—BIPS, Achterstraße 30, 28359 Bremen, Germany
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15
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Association of Breakfast Quality and Energy Density with Cardiometabolic Risk Factors in Overweight/Obese Children: Role of Physical Activity. Nutrients 2018; 10:nu10081066. [PMID: 30103429 PMCID: PMC6116118 DOI: 10.3390/nu10081066] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2018] [Revised: 08/01/2018] [Accepted: 08/07/2018] [Indexed: 12/28/2022] Open
Abstract
There is a general belief that having breakfast is an important healthy lifestyle factor; however, there is scarce evidence on the influence of breakfast quality and energy density on cardiometabolic risk in children, as well as on the role of physical activity in this association. The aims of this paper were (i) to examine the associations of breakfast quality and energy density from both solids and beverages with cardiometabolic risk factors, and (ii) to explore whether physical activity levels may attenuate these relationships in children with overweight/obesity from two projects carried out in the north and south of Spain. Breakfast consumption, breakfast quality index (BQI) score, BEDs/BEDb (24 h-recalls and the KIDMED questionnaire), and physical activity (PA; accelerometry) were assessed, in 203 children aged 8–12 years who were overweight or obese. We measured body composition (Dual X-ray Absorptiometry), uric acid, blood pressure, lipid profile, gamma-glutamyl-transferase (GGT), glucose, and insulin, and calculated the HOMA and metabolic syndrome z-score. The BQI score was inversely associated with serum uric acid independently of a set of relevant confounders (β = −0.172, p = 0.028), but the relationship was attenuated after further controlling for total PA (p < 0.07). BEDs was positively associated with total and HDL cholesterol, and systolic blood pressure regardless of confounders (all p < 0.05), while BEDb was positively associated with HOMA in either active/inactive children (all p < 0.03). In conclusion, higher breakfast quality and lower breakfast energy density should be promoted in overweight/obesity children to improve their cardiometabolic health.
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Abstract
Childhood obesity is a serious challenge for public health. The problem begins early with most excess childhood weight gained before starting school. In 2016, the WHO estimated that 41 million children under 5 were overweight or obese. Once established, obesity is difficult to reverse, likely to persist into adult life and is associated with increased risk of CVD, type 2 diabetes and certain cancers. Preventing obesity is therefore of high importance. However, its development is multi-factorial and prevention is a complex challenge. Modifiable lifestyle behaviours such as diet and physical activity are the most well-known determinants of obesity. More recently, early-life factors have emerged as key influencers of obesity in childhood. Understanding risk factors and how they interact is important to inform interventions that aim to prevent obesity in early childhood. Available evidence supports multi-component interventions as effective in obesity prevention. However, relatively few interventions are available in the UK and only one, TrimTots, has been evaluated in randomised controlled trials and shown to be effective at reducing obesity risk in preschool children (age 1-5 years). BMI was lower in children immediately after completing TrimTots compared with waiting list controls and this effect was sustained at long-term follow-up, 2 years after completion. Developing and evaluating complex interventions for obesity prevention is a challenge for clinicians and researchers. In addition, parents encounter barriers engaging with interventions. This review considers early-life risk factors for obesity, highlights evidence for preventative interventions and discusses barriers and facilitators to their success.
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17
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Coumans JM, Danner UN, Intemann T, De Decker A, Hadjigeorgiou C, Hunsberger M, Moreno LA, Russo P, Stomfai S, Veidebaum T, Adan RA, Hebestreit A. Emotion-driven impulsiveness and snack food consumption of European adolescents: Results from the I.Family study. Appetite 2018; 123:152-159. [DOI: 10.1016/j.appet.2017.12.018] [Citation(s) in RCA: 26] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2017] [Revised: 12/12/2017] [Accepted: 12/15/2017] [Indexed: 01/01/2023]
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18
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Intemann T, Pigeot I, De Henauw S, Eiben G, Lissner L, Krogh V, Dereń K, Molnár D, Moreno LA, Russo P, Siani A, Sirangelo I, Tornaritis M, Veidebaum T, Pala V. Urinary sucrose and fructose to validate self-reported sugar intake in children and adolescents: results from the I.Family study. Eur J Nutr 2018; 58:1247-1258. [PMID: 29511828 DOI: 10.1007/s00394-018-1649-6] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2017] [Accepted: 02/22/2018] [Indexed: 11/30/2022]
Abstract
PURPOSE Excessive consumption of free sugar increases the risk for non-communicable diseases where a proper assessment of this intake is necessary to correctly estimate its association with certain diseases. Urinary sugars have been suggested as objective biomarkers for total and free sugar intake in adults but less is known about this marker in children and adolescents. Therefore, the aim of this exploratory study is to evaluate the relative validity of self-reported intake using urinary sugars in children and adolescents. METHODS The study was conducted in a convenience subsample of 228 participants aged 5-18 years of the I.Family study that investigates the determinants of food choices, lifestyle and health in European families. Total, free and intrinsic sugar intake (g/day) and sugar density (g/1000 kcal) were assessed using 24-h dietary recalls (24HDRs). Urinary sucrose (USUC) and urinary fructose (UFRU) were measured in morning urine samples and corrected for creatinine excretion (USUC/Cr, UFRU/Cr). Correlation coefficients, the method of triads and linear regression models were used to investigate the relationship between intake of different types of sugar and urinary sugars. RESULTS The correlation between usual sugar density calculated from multiple 24HDRs and the sum of USUC/Cr and UFRU/Cr (USUC/Cr + UFRU/Cr) was 0.38 (p < 0.001). The method of triads revealed validity coefficients for the 24HDR from 0.64 to 0.87. Linear regression models showed statistically significant positive associations between USUC/Cr + UFRU/Cr and the intake of total and free sugar. CONCLUSIONS These findings support the relative validity of total and free sugar intake assessed by self-reported 24HDRs in children and adolescents.
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Affiliation(s)
- Timm Intemann
- Leibniz Institute for Prevention Research and Epidemiology-BIPS, Achterstr. 30, 28359, Bremen, Germany. .,Institute of Statistics, Bremen University, Bremen, Germany.
| | - Iris Pigeot
- Leibniz Institute for Prevention Research and Epidemiology-BIPS, Achterstr. 30, 28359, Bremen, Germany.,Institute of Statistics, Bremen University, Bremen, Germany
| | | | - Gabriele Eiben
- Section for Epidemiology and Social Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.,Department of Biomedicine and Public Health, School of Health and Education, University of Skövde, Skövde, Sweden
| | - Lauren Lissner
- Section for Epidemiology and Social Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Vittorio Krogh
- Epidemiology and Prevention Unit, Fondazione IRCSS Istituto Nazionale dei Tumori, Milan, Italy
| | - Katarzyna Dereń
- Institute of Nursing and Health Sciences, Medical Faculty, University of Rzeszow, Rzeszów, Poland
| | - Dénes Molnár
- Department of Paediatrics, University of Pécs, Pécs, Hungary
| | - Luis A Moreno
- Growth, Exercise, Nutrition and Development (GENUD) Research Group, Universidad de Zaragoza, Instituto Agroalimentario de Aragón (IA2), Instituto de Investigación Sanitaria de Aragón (IIS Aragón) and Centro de Investigación Biomédica en Red de Fisiopatología de la Nutrición y la Obesidad (CIBEROBN), Zaragoza, Spain
| | - Paola Russo
- Institute of Food Sciences, National Research Council, Avellino, Italy
| | - Alfonso Siani
- Institute of Food Sciences, National Research Council, Avellino, Italy
| | - Ivana Sirangelo
- Department of Biochemistry, Biophysics and General Pathology, University of Campania "L. Vanvitelli", Naples, Italy
| | | | | | - Valeria Pala
- Epidemiology and Prevention Unit, Fondazione IRCSS Istituto Nazionale dei Tumori, Milan, Italy
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Fernando NNT, Campbell KJ, McNaughton SA, Zheng M, Lacy KE. Predictors of Dietary Energy Density among Preschool Aged Children. Nutrients 2018; 10:nu10020178. [PMID: 29415480 PMCID: PMC5852754 DOI: 10.3390/nu10020178] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2017] [Revised: 02/02/2018] [Accepted: 02/02/2018] [Indexed: 12/21/2022] Open
Abstract
Childhood obesity is a global problem with many contributing factors including dietary energy density (DED). This paper aims to investigate potential predictors of DED among preschool aged children in Victoria, Australia. Secondary analysis of longitudinal data for 209 mother–child pairs from the Melbourne Infant Feeding, Activity and Nutrition Trial was conducted. Data for predictors (maternal child feeding and nutrition knowledge, maternal dietary intake, home food availability, socioeconomic status) were obtained through questionnaires completed by first-time mothers when children were aged 4 or 18 months. Three 24-h dietary recalls were completed when children were aged ~3.5 years. DED was calculated utilizing three methods: “food only”, “food and dairy beverages”, and “food and all beverages”. Linear regression analyses were conducted to identify associations between predictors and these three measures of children’s DED. Home availability of fruits (β: −0.82; 95% CI: −1.35, −0.29, p = 0.002 for DEDfood; β: −0.42; 95% CI: −0.82, −0.02, p = 0.041 for DEDfood+dairy beverages) and non-core snacks (β: 0.11; 95% CI: 0.02, 0.20, p = 0.016 for DEDfood; β: 0.09; 95% CI: 0.02, 0.15, p = 0.010 for DEDfood+dairy beverages) were significantly associated with two of the three DED measures. Providing fruit at home early in a child’s life may encourage the establishment of healthful eating behaviors that could promote a diet that is lower in energy density later in life. Home availability of non-core snacks is likely to increase the energy density of preschool children’s diets, supporting the proposition that non-core snack availability at home should be limited.
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Affiliation(s)
- Nilmani N T Fernando
- School of Exercise and Nutrition Sciences, Deakin University, Burwood, VIC 3125, Australia.
| | - Karen J Campbell
- Institute for Physical Activity and Nutrition (IPAN), School of Exercise and Nutrition Sciences, Deakin University, Geelong, VIC 3220, Australia.
| | - Sarah A McNaughton
- Institute for Physical Activity and Nutrition (IPAN), School of Exercise and Nutrition Sciences, Deakin University, Geelong, VIC 3220, Australia.
| | - Miaobing Zheng
- Institute for Physical Activity and Nutrition (IPAN), School of Exercise and Nutrition Sciences, Deakin University, Geelong, VIC 3220, Australia.
| | - Kathleen E Lacy
- Institute for Physical Activity and Nutrition (IPAN), School of Exercise and Nutrition Sciences, Deakin University, Geelong, VIC 3220, Australia.
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20
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Dietary Energy Density in the Australian Adult Population from National Nutrition Surveys 1995 to 2012. J Acad Nutr Diet 2017; 117:1887-1899.e2. [PMID: 29173347 DOI: 10.1016/j.jand.2017.08.121] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2017] [Accepted: 08/23/2017] [Indexed: 01/22/2023]
Abstract
BACKGROUND It is hypothesized that the observed proliferation of energy-dense, nutrient-poor foods globally is an important contributing factor to the development of the obesity epidemic. However, evidence that the population's dietary energy density has increased is sparse. The World Cancer Research Fund recommends that dietary energy density be <1.25 kcal/g to prevent weight gain. OBJECTIVE The aim of this research was to determine whether the dietary energy density of the Australian population has changed between 1995 and 2012. DESIGN A secondary analysis of two cross-sectional Australian national nutrition surveys from 1995 and 2011/2012 was conducted. PARTICIPANTS/SETTING Participants of the surveys included adults aged 18 years and older (1995 n=10,986 and 2011/2012 n=9,435) completing 24-hour dietary recalls, including a second recall for a subset of the population (10.4% in 1995 and 64.6% in 2011/2012). MAIN OUTCOME MEASURES Outcome measures included the change in dietary energy density (calculated as energy/weight of food [kcal/g] for food only) between surveys. STATISTICAL ANALYSIS The National Cancer Institute method for "estimating ratios of two dietary components that are consumed nearly every day" was used to determine the usual distribution and the percentage of participants reporting energy density <1.25 kcal/g. RESULTS The mean (standard deviation) dietary energy density was 1.59 (0.26) kcal/g and 1.64 (0.32) kcal/g (P<0.0001) in 1995 and 2011/2012, respectively, with 13% and 5% (P<0.0001) of the population meeting dietary energy-density recommendations. For those aged 70 years and older, the percentage with energy density <1.25 kcal/g decreased from 22% to 6% (P<0.0001) for men and from 33% to 11% (P<0.0001) for women in 1995 and 2011/2012, respectively. Among those aged 18 to 29 years, 1% of men in both surveys (P=0.8) and 4% of women in 1995 and 2% in 2011/2012 (P=0.01) reported energy density <1.25 kcal/g. CONCLUSIONS Dietary energy density has increased between the two surveys and few people consumed low energy-dense diets in line with recommendations. The change was largely due to increased energy density of older adult's diets, while young adults had high dietary energy density at both time points. These data suggest efforts now focus on the evaluation of the role of modifying energy density of the diet to reduce the risk of weight gain in adults.
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Social Determinants and Poor Diet Quality of Energy-Dense Diets of Australian Young Adults. Healthcare (Basel) 2017; 5:healthcare5040070. [PMID: 28974029 PMCID: PMC5746704 DOI: 10.3390/healthcare5040070] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2017] [Revised: 09/26/2017] [Accepted: 09/27/2017] [Indexed: 01/21/2023] Open
Abstract
This research aimed to determine the diet quality and socio-demographic determinants by level of energy-density of diets of Australian young adults. Secondary analysis of the Australian National Nutrition and Physical Activity Survey-2011/2012 for adults aged 18–34 years (n = 2397) was conducted. Diet was assessed by 24-h recalls. Dietary energy-density was calculated as dietary energy/grams of food (kJ/g) and the Healthy-Eating-Index-for-Australians (HEIFA-2013) was used to assess diet quality (highest score = 100). Dietary energy-density was examined with respect to diet quality and sociodemographic determinants including gender, highest tertiary-education attainment, country-of-birth, age, income, and socio-economic-index-for-area (SEIFA). Higher dietary energy-density was associated with lower diet quality scores (β = −3.71, t (2394) = −29.29, p < 0.0001) and included fewer fruits and vegetables, and more discretionary foods. The mean dietary energy-density was 7.7 kJ/g and 7.2 kJ/g for men and women, respectively. Subpopulations most at risk of consuming high energy-dense diets included those with lower education, Australian and English-speaking countries of birth, and men with low income and women from areas of lower socio-economic status. Young adults reporting low energy-dense diets had higher quality diets. Intensive efforts are needed to reduce the high energy-density of young adults’ diets, and should ensure they include populations of lower socio-economic status.
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Familial Resemblance in Dietary Intakes of Children, Adolescents, and Parents: Does Dietary Quality Play a Role? Nutrients 2017; 9:nu9080892. [PMID: 28817074 PMCID: PMC5579685 DOI: 10.3390/nu9080892] [Citation(s) in RCA: 36] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2017] [Revised: 08/10/2017] [Accepted: 08/13/2017] [Indexed: 11/21/2022] Open
Abstract
Information on familial resemblance is important for the design of effective family-based interventions. We aimed to quantify familial correlations and estimate the proportion of variation attributable to genetic and shared environmental effects (i.e., familiality) for dietary intake variables and determine whether they vary by generation, sex, dietary quality, or by the age of the children. The study sample consisted of 1435 families (1007 mothers, 438 fathers, 1035 daughters, and 1080 sons) from the multi-center I.Family study. Dietary intake was assessed in parents and their 2–19 years old children using repeated 24-h dietary recalls, from which the usual energy and food intakes were estimated with the U.S. National Cancer Institute Method. Food items were categorized as healthy or unhealthy based on their sugar, fat, and fiber content. Interclass and intraclass correlations were calculated for relative pairs. Familiality was estimated using variance component methods. Parent–offspring (r = 0.11–0.33), sibling (r = 0.21–0.43), and spouse (r = 0.15–0.33) correlations were modest. Parent–offspring correlations were stronger for the intake of healthy (r = 0.33) than unhealthy (r = 0.10) foods. Familiality estimates were 61% (95% CI: 54–68%) for the intake of fruit and vegetables and the sum of healthy foods and only 30% (95% CI: 23–38%) for the sum of unhealthy foods. Familial factors explained a larger proportion of the variance in healthy food intake (71%; 95% CI: 62–81%) in younger children below the age of 11 than in older children equal or above the age of 11 (48%; 95% CI: 38–58%). Factors shared by family members such as genetics and/or the shared home environment play a stronger role in shaping children’s intake of healthy foods than unhealthy foods. This suggests that family-based interventions are likely to have greater effects when targeting healthy food choices and families with younger children, and that other sorts of intervention are needed to address the intake of unhealthy foods by children.
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Khan R, Rehman R, Baig M, Hussain M, Khan M, Syed F. Dimensions of physical wellness among medical students of public and private medical colleges in Pakistan. Saudi Med J 2016; 36:754-8. [PMID: 25987122 PMCID: PMC4454914 DOI: 10.15537/smj.2015.6.11108] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
OBJECTIVES To determine adherence to dimensions of physical wellness among medical students of public and private medical colleges in Pakistan. METHODS This cross-sectional study was carried out from January to July 2011 among 820 students of private and public medical colleges in Karachi, Pakistan. RESULTS Overall, medical students scored low in dimensions of physical wellness. Private medical colleges students were fond of vigorous activities such as aerobics and swimming, whereas public medical colleges students were involved in moderate intensity activities such as walking and use of stairs (p less than 0.0001). Private students reported to consume more fast food (p=0.0001), had less sleep (p=0.0001), but attended regular annual medical checkups (p=0.009) as compared with their public institute counterparts. Safe practices such as avoidance of tobacco were almost the same. CONCLUSION Comprehensive adherence to all dimensions of physical wellness was lacking among medical students.
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Affiliation(s)
- Rakhshaan Khan
- Department of iCAT Transmission, Aga Khan University, Karachi, Pakistan. E-mail.
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Monetary value of self-reported diets and associations with sociodemographic characteristics and dietary intake among Japanese adults: analysis of nationally representative surveys. Public Health Nutr 2016; 19:3306-3318. [PMID: 27357725 DOI: 10.1017/s1368980016001695] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
OBJECTIVE To examine the relationships of monetary value of diets with sociodemographic and lifestyle characteristics and dietary intake among Japanese adults. DESIGN Cross-sectional study based on two nationally representative surveys: the Comprehensive Survey of Living Conditions and the National Health and Nutrition Survey, 2013. Dietary intake was assessed by a 1 d semi-weighed household dietary record with information on individual proportion of intakes. Diet cost was estimated by linking dietary data with retail food prices. A wide variety of sociodemographic and lifestyle variables were obtained from the two surveys. SETTING A random sample of nationally representative households in Japan. SUBJECTS Japanese adults aged 20 years or older (n 4658). RESULTS Lower energy-adjusted diet cost (Japanese yen/4184 kJ) was significantly associated with being younger, having a lower education, less equivalent monthly household expenditure, large household size, less physical activity and living in rented houses. Lower diet cost was associated with a lower intake of pulses, vegetables, fruits, fish, meat and dairy products, and a higher intake of grain, eggs, and fats and oils. At the nutrient level, lower diet cost was associated with a lower intake of protein, alcohol, dietary fibre, cholesterol and all vitamins and minerals examined, and a higher intake of carbohydrate. Diet cost was inversely associated with dietary energy density. CONCLUSION These data suggest that certain low socio-economic subgroups in Japan consume diets of lower monetary value, resulting in a lower quality of food and nutrient intake pattern except for lower sodium, cholesterol and alcohol consumption.
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Pereira-da-Silva L, Rêgo C, Pietrobelli A. The Diet of Preschool Children in the Mediterranean Countries of the European Union: A Systematic Review. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2016; 13:ijerph13060572. [PMID: 27338427 PMCID: PMC4924029 DOI: 10.3390/ijerph13060572] [Citation(s) in RCA: 56] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 03/28/2016] [Revised: 05/31/2016] [Accepted: 05/31/2016] [Indexed: 11/18/2022]
Abstract
This systematic review discusses data on the dietary intake of preschool children living in the Mediterranean countries of the European Union, including the comparison with a Mediterranean-like diet and the association with nutritional status. Specifically, data from the multinational European Identification and Prevention on Dietary and life style induced health effects in children and infants (IDEFICS) study and national studies, such as the Estudo do Padrão Alimentar e de Crescimento Infantil (EPACI) study and Geração XXI cohort in Portugal, ALimentando la SAlud del MAñana (ALSALMA) study in Spain, Étude des Déterminants pré-et postnatals précoces du développement et de la santé de l’ENfant (EDEN) cohort in France, Nutrintake 636 study in Italy, and Growth, Exercise and Nutrition Epidemiological Study in preSchoolers (GENESIS) cohort in Greece, were analyzed. In the majority of countries, young children consumed fruit and vegetables quite frequently, but also consumed sugared beverages and snacks. High energy and high protein intakes mainly from dairy products were found in the majority of countries. The majority of children also consumed excessive sodium intake. Early high prevalence of overweight and obesity was found, and both early consumption of energy-dense foods and overweight seemed to track across toddler and preschool ages. Most children living in the analyzed countries showed low adherence to a Mediterranean-like diet, which in turn was associated with being overweight/obese. Unhealthier diets were associated with lower maternal educational level and parental unemployment. Programs promoting adherence of young children to the traditional Mediterranean diet should be part of a multi-intervention strategy for the prevention and treatment of pediatric overweight and obesity.
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Affiliation(s)
- Luís Pereira-da-Silva
- NOVA Medical School, Universidade Nova de Lisboa, Lisbon 1169-056, Portugal.
- Pediatric Department, Hospital Dona Estefânia, Centro Hospitalar de Lisboa Central, Lisbon 1169-045, Portugal.
| | - Carla Rêgo
- Faculty of Medicine, Porto University, Porto 4200-319, Portugal.
- Center for Health Technology and Services Research (CINTESIS), Porto 4200-3129, Portugal.
- Child and Adolescent Service, Hospital CUF Porto, Porto 4200-180, Portugal.
| | - Angelo Pietrobelli
- Pediatric Unit, Verona University Medical School, Verona 37134, Italy.
- Pennington Biomedical Research Center, Baton Rouge, LA 70808, USA.
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Shariff ZM, Lin KG, Sariman S, Siew CY, Yusof BNM, Mun CY, Lee HS, Mohamad M. Higher Dietary Energy Density is Associated with Stunting but not Overweight and Obesity in a Sample of Urban Malaysian Children. Ecol Food Nutr 2016; 55:378-89. [PMID: 27231732 DOI: 10.1080/03670244.2016.1181065] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
Abstract
Although diets with high energy density are associated with increased risk of overweight and obesity, it is not known whether such diets are associated with undernutrition. This study assessed the relationship between dietary energy density (ED) and nutritional status of 745 urban 1- to 10-year-old children. Dietary intakes were obtained using food recall and record for two days. Dietary energy density was based on food and caloric beverages. Higher dietary ED was associated with lower intakes of carbohydrate, sugar, vitamins C and D, and calcium but higher fat, fiber, iron, and folate intakes. While intakes of fruits and milk/dairy products decreased, meat, fish, and legume intakes increased with higher dietary ED. Stunting, but not other growth problems, was associated with higher dietary ED. Future studies should confirm the cause-and-effect relationship between higher dietary ED and stunting.
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Affiliation(s)
- Zalilah Mohd Shariff
- a Department of Nutrition and Dietetics, Faculty of Medicine and Health Sciences , Universiti Putra Malaysia , Serdang , Selangor , Malaysia
| | - Khor Geok Lin
- b Dietetics with Nutrition Programme, School of Health Sciences , International Medical University , Kuala Lumpur , Malaysia
| | - Sarina Sariman
- c Department of Healthcare Professional, Faculty of Health and Life Sciences , Management and Science University , Shah Alam , Selangor , Malaysia
| | - Chin Yit Siew
- a Department of Nutrition and Dietetics, Faculty of Medicine and Health Sciences , Universiti Putra Malaysia , Serdang , Selangor , Malaysia
| | - Barakatun Nisak Mohd Yusof
- a Department of Nutrition and Dietetics, Faculty of Medicine and Health Sciences , Universiti Putra Malaysia , Serdang , Selangor , Malaysia
| | - Chan Yoke Mun
- a Department of Nutrition and Dietetics, Faculty of Medicine and Health Sciences , Universiti Putra Malaysia , Serdang , Selangor , Malaysia
| | - Huang Soo Lee
- a Department of Nutrition and Dietetics, Faculty of Medicine and Health Sciences , Universiti Putra Malaysia , Serdang , Selangor , Malaysia
| | - Maznorila Mohamad
- b Dietetics with Nutrition Programme, School of Health Sciences , International Medical University , Kuala Lumpur , Malaysia
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Hebestreit A, Barba G, De Henauw S, Eiben G, Hadjigeorgiou C, Kovács É, Krogh V, Moreno LA, Pala V, Veidebaum T, Wolters M, Börnhorst C. Cross-sectional and longitudinal associations between energy intake and BMI z-score in European children. Int J Behav Nutr Phys Act 2016; 13:23. [PMID: 26879850 PMCID: PMC4754870 DOI: 10.1186/s12966-016-0344-3] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2015] [Accepted: 02/06/2016] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Evidence for the effect of dietary energy on BMI z-scores in young children is limited. We aim to investigate cross-sectional and longitudinal effects of daily energy intake (EI) on BMI z-scores of European boys and girls considering growth-related height dependencies of EI using residual EI. METHODS To investigate cross-sectional and longitudinal effects of daily energy intake (EI) on BMI z-scores of European boys and girls considering growth-related height dependencies of EI using residual EI. METHODS Subjects were children aged 2- < 10 y old (N = 2753, 48.2% girls) participating in the IDEFICS (Identification and prevention of Dietary- and lifestyle-induced health EFfects In Children and infantS) baseline and follow-up examination. Usual EI (kcal/day) was calculated based on the National Cancer Institute-method excluding subjects with implausible reported EI. Effect of age, height and sex-adjusted residuals of EI on BMI z-score was investigated stratified by baseline age -group (2- < 4 y, 4- < 6 y, 6- < 8 y and 8- < 10 y) cross-sectionally using linear regression models adjusted for relevant confounders (crude model: age, sex, country; fully adjusted model: plus parental ISCED level, parental BMI, screen time; subgroup analysis: plus objectively measured physical activity). Longitudinal associations were estimated between changes in (Δ) residual EI per year and ΔBMI z-score per year with adjustments analogously to the cross-sectional models but with additional adjustment for residual EI at baseline. RESULTS Cross-sectionally, positive associations were observed between residual EI and BMI z-score for the full study sample, for boys and in older (≥6 years) but not in younger children in the crude and fully adjusted model. Longitudinally, small positive associations were observed between Δresidual EI per y on ΔBMI z-score per y for the full study sample and in 4- < 6 y olds in the crude and fully adjusted model. CONCLUSION In conclusion, EI above the average intakes for a certain sex, age and height are weakly associated with BMI z-scores in European children. Residual EI may be considered as a useful exposure measure in children as it accounts for growth-related changes in usual EI during childhood.
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Affiliation(s)
- Antje Hebestreit
- Leibniz-Institute for Prevention Research and Epidemiology - BIPS GmbH, Achterstr. 30, D-28359, Bremen, Germany.
| | | | | | - Gabriele Eiben
- Department of Public Health and Community Medicine, University of Gothenburg, Gothenburg, Sweden.
| | | | - Éva Kovács
- Department of Pediatrics, University of Pécs, Pécs, Hungary and Institute for Medical Information Processing, Biometrics and Epidemiology and German Centre for Vertigo and Balance Disorders, Ludwig Maximilian University, Munich, Germany.
| | - Vittorio Krogh
- Department of Preventive and Predictive Medicine, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy.
| | - Luis A Moreno
- GENUD (Growth, Exercise, Nutrition and Development) Research Group, Faculty of Health Sciences, University of Zaragoza, Zaragoza, Spain.
| | - Valeria Pala
- Department of Preventive and Predictive Medicine, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy.
| | - Toomas Veidebaum
- Department of Chronic Diseases, National Institute for Health Development, Tallinn, Estonia.
| | - Maike Wolters
- Leibniz-Institute for Prevention Research and Epidemiology - BIPS GmbH, Achterstr. 30, D-28359, Bremen, Germany.
| | - Claudia Börnhorst
- Leibniz-Institute for Prevention Research and Epidemiology - BIPS GmbH, Achterstr. 30, D-28359, Bremen, Germany.
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Wolters M, Schlenz H, Börnhorst C, Risé P, Galli C, Moreno LA, Pala V, Siani A, Veidebaum T, Tornaritis M, Fraterman A, de Henauw S, Marild S, Molnar D, Ahrens W. Desaturase Activity Is Associated With Weight Status and Metabolic Risk Markers in Young Children. J Clin Endocrinol Metab 2015; 100:3760-9. [PMID: 26284759 DOI: 10.1210/jc.2015-2693] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/20/2023]
Abstract
CONTEXT Activity of delta-9, delta-6, and delta-5 desaturases (D9D, D6D, D5D) are associated with obesity, insulin resistance, and dyslipidemia. OBJECTIVE To investigate the association of estimated desaturase activities with weight status, insulin resistance, and dyslipidemia in children, cross-sectionally and longitudinally. DESIGN The IDEFICS (Identification and Prevention of Dietary- and Lifestyle-Induced Health Effects in Children and Infants) cohort study was used, with examinations at baseline (T0) and after 2 years (T1). SETTING AND PARTICIPANTS Children aged 2 to less than 10 years from eight European countries were recruited in kindergartens/primary schools. Children with available data on fatty acids, outcome, and covariate information were included in the analyses. METHODS Whole blood fatty acids were analyzed in 2600 children at baseline. D9D (16:1n-7/16:0), D6D (20:3n-6/18:2n-6), and D5D (20:4n-6/20:3n-6) activities were estimated from product-precursor fatty acids ratios. Body mass index (BMI), Homeostatic Model Assessment index, and high-density lipoprotein cholesterol (HDL), and triglycerides (TG) served as outcomes for weight status, insulin resistance, and dyslipidemia, respectively. Linear and logistic regression and repeated measures models were used to assess the cross-sectional and longitudinal associations between desaturase activity and outcomes. RESULTS In the cross-sectional analysis, D9D and D6D were positively associated with BMI and TG z-scores and inversely with HDL z-scores. D5D was inversely associated with BMI and TG z-scores (ie, a D5D increase of 1 unit is associated with a BMI z-score decrease of 0.07 and a 28% lower odds ratio for TG ≥ 75th percentile). Longitudinally, similar associations were found for T0 desaturase activities with BMI and for T0 D6D with HDL at follow-up (T1). Baseline D6D and D5D were positively associated with the change of HDL z-score from T0 to T1, and D6D with the change of Homeostatic Model Assessment index z-score. CONCLUSION Desaturase activities are associated with metabolic risk markers already in young children and appear to predict the metabolic risk.
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Affiliation(s)
- Maike Wolters
- Leibniz Institute for Prevention Research and Epidemiology - BIPS (M.W., H.S., C.B., W.A.), Bremen, Germany; Department of Pharmacological and Biomolecular Sciences (P.R., C.G.), DiSFeB, University of Milan, Milan, Italy; Growth, Exercise, Nutrition and Development (GENUD) Research Group (L.A.M.), University of Zaragoza, Zaragoza, Spain; Epidemiology and Prevention Unit (V.P.), Department of Preventive and Predictive Medicine, Fondazione IRCCS Istituto Nazionale Dei Tumori, Milan, Italy; Epidemiology and Population Genetics (A.S.), Institute of Food Sciences, National Research Council, Avellino, Italy; National Institute for Health Development (T.V.), Tallinn, Estonia; Research and Education Institute of Child Health (M.T.), Strovolos, Cyprus; Medizinisches Versorgungszentrum Dr. Eberhard und Partner Dortmund (A.F.), Laboratoriumsmedizin, Dortmund, Germany; Department of Public Health, Faculty of Medicine and Health Sciences (S.H.), Ghent University, Ghent, Belgium; Department of Public Health and Community Medicine (S.M.), Queen Silvia Children's Hospital, Gothenburg, Sweden; National Institute of Health Promotion (D.M.), University of Pécs, Pécs, Hungary; and Institute of Statistics (W.A.), Faculty of Mathematics and Computer Science, University of Bremen, Bremen, Germany
| | - Heike Schlenz
- Leibniz Institute for Prevention Research and Epidemiology - BIPS (M.W., H.S., C.B., W.A.), Bremen, Germany; Department of Pharmacological and Biomolecular Sciences (P.R., C.G.), DiSFeB, University of Milan, Milan, Italy; Growth, Exercise, Nutrition and Development (GENUD) Research Group (L.A.M.), University of Zaragoza, Zaragoza, Spain; Epidemiology and Prevention Unit (V.P.), Department of Preventive and Predictive Medicine, Fondazione IRCCS Istituto Nazionale Dei Tumori, Milan, Italy; Epidemiology and Population Genetics (A.S.), Institute of Food Sciences, National Research Council, Avellino, Italy; National Institute for Health Development (T.V.), Tallinn, Estonia; Research and Education Institute of Child Health (M.T.), Strovolos, Cyprus; Medizinisches Versorgungszentrum Dr. Eberhard und Partner Dortmund (A.F.), Laboratoriumsmedizin, Dortmund, Germany; Department of Public Health, Faculty of Medicine and Health Sciences (S.H.), Ghent University, Ghent, Belgium; Department of Public Health and Community Medicine (S.M.), Queen Silvia Children's Hospital, Gothenburg, Sweden; National Institute of Health Promotion (D.M.), University of Pécs, Pécs, Hungary; and Institute of Statistics (W.A.), Faculty of Mathematics and Computer Science, University of Bremen, Bremen, Germany
| | - Claudia Börnhorst
- Leibniz Institute for Prevention Research and Epidemiology - BIPS (M.W., H.S., C.B., W.A.), Bremen, Germany; Department of Pharmacological and Biomolecular Sciences (P.R., C.G.), DiSFeB, University of Milan, Milan, Italy; Growth, Exercise, Nutrition and Development (GENUD) Research Group (L.A.M.), University of Zaragoza, Zaragoza, Spain; Epidemiology and Prevention Unit (V.P.), Department of Preventive and Predictive Medicine, Fondazione IRCCS Istituto Nazionale Dei Tumori, Milan, Italy; Epidemiology and Population Genetics (A.S.), Institute of Food Sciences, National Research Council, Avellino, Italy; National Institute for Health Development (T.V.), Tallinn, Estonia; Research and Education Institute of Child Health (M.T.), Strovolos, Cyprus; Medizinisches Versorgungszentrum Dr. Eberhard und Partner Dortmund (A.F.), Laboratoriumsmedizin, Dortmund, Germany; Department of Public Health, Faculty of Medicine and Health Sciences (S.H.), Ghent University, Ghent, Belgium; Department of Public Health and Community Medicine (S.M.), Queen Silvia Children's Hospital, Gothenburg, Sweden; National Institute of Health Promotion (D.M.), University of Pécs, Pécs, Hungary; and Institute of Statistics (W.A.), Faculty of Mathematics and Computer Science, University of Bremen, Bremen, Germany
| | - Patrizia Risé
- Leibniz Institute for Prevention Research and Epidemiology - BIPS (M.W., H.S., C.B., W.A.), Bremen, Germany; Department of Pharmacological and Biomolecular Sciences (P.R., C.G.), DiSFeB, University of Milan, Milan, Italy; Growth, Exercise, Nutrition and Development (GENUD) Research Group (L.A.M.), University of Zaragoza, Zaragoza, Spain; Epidemiology and Prevention Unit (V.P.), Department of Preventive and Predictive Medicine, Fondazione IRCCS Istituto Nazionale Dei Tumori, Milan, Italy; Epidemiology and Population Genetics (A.S.), Institute of Food Sciences, National Research Council, Avellino, Italy; National Institute for Health Development (T.V.), Tallinn, Estonia; Research and Education Institute of Child Health (M.T.), Strovolos, Cyprus; Medizinisches Versorgungszentrum Dr. Eberhard und Partner Dortmund (A.F.), Laboratoriumsmedizin, Dortmund, Germany; Department of Public Health, Faculty of Medicine and Health Sciences (S.H.), Ghent University, Ghent, Belgium; Department of Public Health and Community Medicine (S.M.), Queen Silvia Children's Hospital, Gothenburg, Sweden; National Institute of Health Promotion (D.M.), University of Pécs, Pécs, Hungary; and Institute of Statistics (W.A.), Faculty of Mathematics and Computer Science, University of Bremen, Bremen, Germany
| | - Claudio Galli
- Leibniz Institute for Prevention Research and Epidemiology - BIPS (M.W., H.S., C.B., W.A.), Bremen, Germany; Department of Pharmacological and Biomolecular Sciences (P.R., C.G.), DiSFeB, University of Milan, Milan, Italy; Growth, Exercise, Nutrition and Development (GENUD) Research Group (L.A.M.), University of Zaragoza, Zaragoza, Spain; Epidemiology and Prevention Unit (V.P.), Department of Preventive and Predictive Medicine, Fondazione IRCCS Istituto Nazionale Dei Tumori, Milan, Italy; Epidemiology and Population Genetics (A.S.), Institute of Food Sciences, National Research Council, Avellino, Italy; National Institute for Health Development (T.V.), Tallinn, Estonia; Research and Education Institute of Child Health (M.T.), Strovolos, Cyprus; Medizinisches Versorgungszentrum Dr. Eberhard und Partner Dortmund (A.F.), Laboratoriumsmedizin, Dortmund, Germany; Department of Public Health, Faculty of Medicine and Health Sciences (S.H.), Ghent University, Ghent, Belgium; Department of Public Health and Community Medicine (S.M.), Queen Silvia Children's Hospital, Gothenburg, Sweden; National Institute of Health Promotion (D.M.), University of Pécs, Pécs, Hungary; and Institute of Statistics (W.A.), Faculty of Mathematics and Computer Science, University of Bremen, Bremen, Germany
| | - Luis A Moreno
- Leibniz Institute for Prevention Research and Epidemiology - BIPS (M.W., H.S., C.B., W.A.), Bremen, Germany; Department of Pharmacological and Biomolecular Sciences (P.R., C.G.), DiSFeB, University of Milan, Milan, Italy; Growth, Exercise, Nutrition and Development (GENUD) Research Group (L.A.M.), University of Zaragoza, Zaragoza, Spain; Epidemiology and Prevention Unit (V.P.), Department of Preventive and Predictive Medicine, Fondazione IRCCS Istituto Nazionale Dei Tumori, Milan, Italy; Epidemiology and Population Genetics (A.S.), Institute of Food Sciences, National Research Council, Avellino, Italy; National Institute for Health Development (T.V.), Tallinn, Estonia; Research and Education Institute of Child Health (M.T.), Strovolos, Cyprus; Medizinisches Versorgungszentrum Dr. Eberhard und Partner Dortmund (A.F.), Laboratoriumsmedizin, Dortmund, Germany; Department of Public Health, Faculty of Medicine and Health Sciences (S.H.), Ghent University, Ghent, Belgium; Department of Public Health and Community Medicine (S.M.), Queen Silvia Children's Hospital, Gothenburg, Sweden; National Institute of Health Promotion (D.M.), University of Pécs, Pécs, Hungary; and Institute of Statistics (W.A.), Faculty of Mathematics and Computer Science, University of Bremen, Bremen, Germany
| | - Valeria Pala
- Leibniz Institute for Prevention Research and Epidemiology - BIPS (M.W., H.S., C.B., W.A.), Bremen, Germany; Department of Pharmacological and Biomolecular Sciences (P.R., C.G.), DiSFeB, University of Milan, Milan, Italy; Growth, Exercise, Nutrition and Development (GENUD) Research Group (L.A.M.), University of Zaragoza, Zaragoza, Spain; Epidemiology and Prevention Unit (V.P.), Department of Preventive and Predictive Medicine, Fondazione IRCCS Istituto Nazionale Dei Tumori, Milan, Italy; Epidemiology and Population Genetics (A.S.), Institute of Food Sciences, National Research Council, Avellino, Italy; National Institute for Health Development (T.V.), Tallinn, Estonia; Research and Education Institute of Child Health (M.T.), Strovolos, Cyprus; Medizinisches Versorgungszentrum Dr. Eberhard und Partner Dortmund (A.F.), Laboratoriumsmedizin, Dortmund, Germany; Department of Public Health, Faculty of Medicine and Health Sciences (S.H.), Ghent University, Ghent, Belgium; Department of Public Health and Community Medicine (S.M.), Queen Silvia Children's Hospital, Gothenburg, Sweden; National Institute of Health Promotion (D.M.), University of Pécs, Pécs, Hungary; and Institute of Statistics (W.A.), Faculty of Mathematics and Computer Science, University of Bremen, Bremen, Germany
| | - Alfonso Siani
- Leibniz Institute for Prevention Research and Epidemiology - BIPS (M.W., H.S., C.B., W.A.), Bremen, Germany; Department of Pharmacological and Biomolecular Sciences (P.R., C.G.), DiSFeB, University of Milan, Milan, Italy; Growth, Exercise, Nutrition and Development (GENUD) Research Group (L.A.M.), University of Zaragoza, Zaragoza, Spain; Epidemiology and Prevention Unit (V.P.), Department of Preventive and Predictive Medicine, Fondazione IRCCS Istituto Nazionale Dei Tumori, Milan, Italy; Epidemiology and Population Genetics (A.S.), Institute of Food Sciences, National Research Council, Avellino, Italy; National Institute for Health Development (T.V.), Tallinn, Estonia; Research and Education Institute of Child Health (M.T.), Strovolos, Cyprus; Medizinisches Versorgungszentrum Dr. Eberhard und Partner Dortmund (A.F.), Laboratoriumsmedizin, Dortmund, Germany; Department of Public Health, Faculty of Medicine and Health Sciences (S.H.), Ghent University, Ghent, Belgium; Department of Public Health and Community Medicine (S.M.), Queen Silvia Children's Hospital, Gothenburg, Sweden; National Institute of Health Promotion (D.M.), University of Pécs, Pécs, Hungary; and Institute of Statistics (W.A.), Faculty of Mathematics and Computer Science, University of Bremen, Bremen, Germany
| | - Toomas Veidebaum
- Leibniz Institute for Prevention Research and Epidemiology - BIPS (M.W., H.S., C.B., W.A.), Bremen, Germany; Department of Pharmacological and Biomolecular Sciences (P.R., C.G.), DiSFeB, University of Milan, Milan, Italy; Growth, Exercise, Nutrition and Development (GENUD) Research Group (L.A.M.), University of Zaragoza, Zaragoza, Spain; Epidemiology and Prevention Unit (V.P.), Department of Preventive and Predictive Medicine, Fondazione IRCCS Istituto Nazionale Dei Tumori, Milan, Italy; Epidemiology and Population Genetics (A.S.), Institute of Food Sciences, National Research Council, Avellino, Italy; National Institute for Health Development (T.V.), Tallinn, Estonia; Research and Education Institute of Child Health (M.T.), Strovolos, Cyprus; Medizinisches Versorgungszentrum Dr. Eberhard und Partner Dortmund (A.F.), Laboratoriumsmedizin, Dortmund, Germany; Department of Public Health, Faculty of Medicine and Health Sciences (S.H.), Ghent University, Ghent, Belgium; Department of Public Health and Community Medicine (S.M.), Queen Silvia Children's Hospital, Gothenburg, Sweden; National Institute of Health Promotion (D.M.), University of Pécs, Pécs, Hungary; and Institute of Statistics (W.A.), Faculty of Mathematics and Computer Science, University of Bremen, Bremen, Germany
| | - Michael Tornaritis
- Leibniz Institute for Prevention Research and Epidemiology - BIPS (M.W., H.S., C.B., W.A.), Bremen, Germany; Department of Pharmacological and Biomolecular Sciences (P.R., C.G.), DiSFeB, University of Milan, Milan, Italy; Growth, Exercise, Nutrition and Development (GENUD) Research Group (L.A.M.), University of Zaragoza, Zaragoza, Spain; Epidemiology and Prevention Unit (V.P.), Department of Preventive and Predictive Medicine, Fondazione IRCCS Istituto Nazionale Dei Tumori, Milan, Italy; Epidemiology and Population Genetics (A.S.), Institute of Food Sciences, National Research Council, Avellino, Italy; National Institute for Health Development (T.V.), Tallinn, Estonia; Research and Education Institute of Child Health (M.T.), Strovolos, Cyprus; Medizinisches Versorgungszentrum Dr. Eberhard und Partner Dortmund (A.F.), Laboratoriumsmedizin, Dortmund, Germany; Department of Public Health, Faculty of Medicine and Health Sciences (S.H.), Ghent University, Ghent, Belgium; Department of Public Health and Community Medicine (S.M.), Queen Silvia Children's Hospital, Gothenburg, Sweden; National Institute of Health Promotion (D.M.), University of Pécs, Pécs, Hungary; and Institute of Statistics (W.A.), Faculty of Mathematics and Computer Science, University of Bremen, Bremen, Germany
| | - Arno Fraterman
- Leibniz Institute for Prevention Research and Epidemiology - BIPS (M.W., H.S., C.B., W.A.), Bremen, Germany; Department of Pharmacological and Biomolecular Sciences (P.R., C.G.), DiSFeB, University of Milan, Milan, Italy; Growth, Exercise, Nutrition and Development (GENUD) Research Group (L.A.M.), University of Zaragoza, Zaragoza, Spain; Epidemiology and Prevention Unit (V.P.), Department of Preventive and Predictive Medicine, Fondazione IRCCS Istituto Nazionale Dei Tumori, Milan, Italy; Epidemiology and Population Genetics (A.S.), Institute of Food Sciences, National Research Council, Avellino, Italy; National Institute for Health Development (T.V.), Tallinn, Estonia; Research and Education Institute of Child Health (M.T.), Strovolos, Cyprus; Medizinisches Versorgungszentrum Dr. Eberhard und Partner Dortmund (A.F.), Laboratoriumsmedizin, Dortmund, Germany; Department of Public Health, Faculty of Medicine and Health Sciences (S.H.), Ghent University, Ghent, Belgium; Department of Public Health and Community Medicine (S.M.), Queen Silvia Children's Hospital, Gothenburg, Sweden; National Institute of Health Promotion (D.M.), University of Pécs, Pécs, Hungary; and Institute of Statistics (W.A.), Faculty of Mathematics and Computer Science, University of Bremen, Bremen, Germany
| | - Stefaan de Henauw
- Leibniz Institute for Prevention Research and Epidemiology - BIPS (M.W., H.S., C.B., W.A.), Bremen, Germany; Department of Pharmacological and Biomolecular Sciences (P.R., C.G.), DiSFeB, University of Milan, Milan, Italy; Growth, Exercise, Nutrition and Development (GENUD) Research Group (L.A.M.), University of Zaragoza, Zaragoza, Spain; Epidemiology and Prevention Unit (V.P.), Department of Preventive and Predictive Medicine, Fondazione IRCCS Istituto Nazionale Dei Tumori, Milan, Italy; Epidemiology and Population Genetics (A.S.), Institute of Food Sciences, National Research Council, Avellino, Italy; National Institute for Health Development (T.V.), Tallinn, Estonia; Research and Education Institute of Child Health (M.T.), Strovolos, Cyprus; Medizinisches Versorgungszentrum Dr. Eberhard und Partner Dortmund (A.F.), Laboratoriumsmedizin, Dortmund, Germany; Department of Public Health, Faculty of Medicine and Health Sciences (S.H.), Ghent University, Ghent, Belgium; Department of Public Health and Community Medicine (S.M.), Queen Silvia Children's Hospital, Gothenburg, Sweden; National Institute of Health Promotion (D.M.), University of Pécs, Pécs, Hungary; and Institute of Statistics (W.A.), Faculty of Mathematics and Computer Science, University of Bremen, Bremen, Germany
| | - Staffan Marild
- Leibniz Institute for Prevention Research and Epidemiology - BIPS (M.W., H.S., C.B., W.A.), Bremen, Germany; Department of Pharmacological and Biomolecular Sciences (P.R., C.G.), DiSFeB, University of Milan, Milan, Italy; Growth, Exercise, Nutrition and Development (GENUD) Research Group (L.A.M.), University of Zaragoza, Zaragoza, Spain; Epidemiology and Prevention Unit (V.P.), Department of Preventive and Predictive Medicine, Fondazione IRCCS Istituto Nazionale Dei Tumori, Milan, Italy; Epidemiology and Population Genetics (A.S.), Institute of Food Sciences, National Research Council, Avellino, Italy; National Institute for Health Development (T.V.), Tallinn, Estonia; Research and Education Institute of Child Health (M.T.), Strovolos, Cyprus; Medizinisches Versorgungszentrum Dr. Eberhard und Partner Dortmund (A.F.), Laboratoriumsmedizin, Dortmund, Germany; Department of Public Health, Faculty of Medicine and Health Sciences (S.H.), Ghent University, Ghent, Belgium; Department of Public Health and Community Medicine (S.M.), Queen Silvia Children's Hospital, Gothenburg, Sweden; National Institute of Health Promotion (D.M.), University of Pécs, Pécs, Hungary; and Institute of Statistics (W.A.), Faculty of Mathematics and Computer Science, University of Bremen, Bremen, Germany
| | - Denes Molnar
- Leibniz Institute for Prevention Research and Epidemiology - BIPS (M.W., H.S., C.B., W.A.), Bremen, Germany; Department of Pharmacological and Biomolecular Sciences (P.R., C.G.), DiSFeB, University of Milan, Milan, Italy; Growth, Exercise, Nutrition and Development (GENUD) Research Group (L.A.M.), University of Zaragoza, Zaragoza, Spain; Epidemiology and Prevention Unit (V.P.), Department of Preventive and Predictive Medicine, Fondazione IRCCS Istituto Nazionale Dei Tumori, Milan, Italy; Epidemiology and Population Genetics (A.S.), Institute of Food Sciences, National Research Council, Avellino, Italy; National Institute for Health Development (T.V.), Tallinn, Estonia; Research and Education Institute of Child Health (M.T.), Strovolos, Cyprus; Medizinisches Versorgungszentrum Dr. Eberhard und Partner Dortmund (A.F.), Laboratoriumsmedizin, Dortmund, Germany; Department of Public Health, Faculty of Medicine and Health Sciences (S.H.), Ghent University, Ghent, Belgium; Department of Public Health and Community Medicine (S.M.), Queen Silvia Children's Hospital, Gothenburg, Sweden; National Institute of Health Promotion (D.M.), University of Pécs, Pécs, Hungary; and Institute of Statistics (W.A.), Faculty of Mathematics and Computer Science, University of Bremen, Bremen, Germany
| | - Wolfgang Ahrens
- Leibniz Institute for Prevention Research and Epidemiology - BIPS (M.W., H.S., C.B., W.A.), Bremen, Germany; Department of Pharmacological and Biomolecular Sciences (P.R., C.G.), DiSFeB, University of Milan, Milan, Italy; Growth, Exercise, Nutrition and Development (GENUD) Research Group (L.A.M.), University of Zaragoza, Zaragoza, Spain; Epidemiology and Prevention Unit (V.P.), Department of Preventive and Predictive Medicine, Fondazione IRCCS Istituto Nazionale Dei Tumori, Milan, Italy; Epidemiology and Population Genetics (A.S.), Institute of Food Sciences, National Research Council, Avellino, Italy; National Institute for Health Development (T.V.), Tallinn, Estonia; Research and Education Institute of Child Health (M.T.), Strovolos, Cyprus; Medizinisches Versorgungszentrum Dr. Eberhard und Partner Dortmund (A.F.), Laboratoriumsmedizin, Dortmund, Germany; Department of Public Health, Faculty of Medicine and Health Sciences (S.H.), Ghent University, Ghent, Belgium; Department of Public Health and Community Medicine (S.M.), Queen Silvia Children's Hospital, Gothenburg, Sweden; National Institute of Health Promotion (D.M.), University of Pécs, Pécs, Hungary; and Institute of Statistics (W.A.), Faculty of Mathematics and Computer Science, University of Bremen, Bremen, Germany
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