Determinants of overweight in a cohort of Dutch children

Vogels, N.; Posthumus, D.L.A.; Mariman, E.C.M.; Bouwman, Freek G.; Kester, A.D.M.; Rump, Patrick; Hornstra, Gerard; Westerterp-Plantenga, Margriet S.

doi:10.1093/ajcn/84.4.717

Cited by 71 publications

(61 citation statements)

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“…Moreover, BMI at 7 years of age was significantly correlated with BMI at 15 years of age (r = 0·69). Another study included in the review by Bayer et al (11) with tracking data from the first year of life was a Dutch cohort study published in 2006 (29) . Included in the study were 105 children born between 1990 and 1993, with tracking of BMI from birth to 12 years of age assessed with Pearson's correlation coefficient.…”

Section: Discussionmentioning

confidence: 99%

Tracking of body size from birth to 7 years of age and factors associated with maintenance of a high body size from birth to 7 years of age – the Norwegian Mother and Child Cohort study (MoBa)

Kristiansen

Bjelland

Brantsæter

et al. 2014

Public Health Nutr.

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Objective: To examine tracking of body size among children participating in the Norwegian Mother and Child Cohort Study (MoBa) from birth to 7 years of age and additionally to explore child and parental characteristics associated with maintenance of a high body size in this period of life. Design: Anthropometric data at birth and at 1, 3 and 7 years of age were collected by questionnaires addressed to the mother. Setting: Participants were recruited from all over Norway during the period 1999-2008. Subjects: A total of 3771 children had complete anthropometric data at birth and at 1, 3 and 7 years of age; the sample includes children born between 2002 and 2004. Results: Cohen's weighted kappa pointed to fair (0·36) to moderate (0·43) tracking of body size from birth to 7 years of age. Generalized estimating equations further indicated that children in the highest tertile of ponderal index at birth had nearly one unit higher BMI (kg/m 2 ) at the age of 7 years compared with children in other tertiles of ponderal index at birth. Having parents with high BMI (≥25·0 kg/m 2 ) increased the odds of having a stable high body size from birth to 7 years of age; moreover, girls had significantly higher odds compared with boys. Conclusions: The study indicates fair to moderate tracking of body size from birth to 7 years of age. From a public health perspective, early prevention of childhood overweight and obesity seems to be especially important among children of parents having a high BMI. KeywordsTracking Body size MoBa Norway Generalized estimating equationsAs the prevalence of childhood overweight and obesity has increased worldwide over the past decades (1) , the importance of early prevention is highlighted in strategic documents from the WHO (2) and the European Union (3) . Childhood overweight and obesity are important public health challenges because of their associations with both short-and long-term health risks. Short-term health risks include unfavourable psychological consequences like low self-esteem as well as associations with several cardiovascular risk factors (4) . Long-term health risks include the maintenance of obesity from childhood into later life (4)(5)(6) in addition to increased risk of premature mortality, type 2 diabetes, CVD and morbidity in adulthood (7,8) .Along with the rising prevalence of childhood overweight and obesity, it has become essential to understand not only to what extent such conditions are maintained over time but also the factors influencing this maintenance. Maintenance or stability of overweight or obesity over time is often referred to as 'tracking'. Tracking can be defined as: (i) the relative stability of a certain characteristic over time; or (ii) the predictability of a measurement of a certain risk factor early in life for values of the same risk factor later in life (9) . Consequently, the general thought behind tracking is that individuals at risk for diseases later in life can be identified at an early age (10) which possibility can lead to earlier prevent...

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Section: Discussionmentioning

confidence: 99%

Tracking of body size from birth to 7 years of age and factors associated with maintenance of a high body size from birth to 7 years of age – the Norwegian Mother and Child Cohort study (MoBa)

Kristiansen

Bjelland

Brantsæter

et al. 2014

Public Health Nutr.

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“…29 Anthropometric data were available from these children, no interventions were executed, and follow-up studies were performed with 98 children. 25 Exclusion criteria for follow-up measurements were chronic illness and depression, as assessed by medical history. Each child and his or her parents gave written informed consent to participate in the study, which was approved by the Central Committee Human Research and by the medical ethical committee of the Maastricht University.…”

Section: Subjectsmentioning

confidence: 99%

“…Both the parents reported actual BW measured at home according to our standard instructions (as previously described). 25 Height was copied from their passports, originally measured using a wall-mounted stadiometer. BMI was calculated by BW per height 2 (kg m -2 ).…”

Section: Measurementsmentioning

confidence: 99%

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Sleep duration and body-weight development during puberty in a Dutch children cohort

et al. 2010

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Background: Short sleep duration is associated with obesity during childhood and adulthood. Objective: The objective of our study was to investigate the relationship between sleep duration and body mass index (BMI) from Tanner stages 1 to 5 in a Dutch children cohort. Design: In 98 children, anthropometric measurements and leptin concentrations were measured from age 7 to 16 years; body composition, physical activity (Baecke questionnaire), hours television viewing and self-reported sleep duration were measured yearly from age 12 to 16 years. Moreover, the polymorphisms of the FTO gene (rs9939609) and parental BMI's were determined. Results: At Tanner stages 1-5 sex differences were observed in height, body weight, waist circumference, fat mass per squared meter height and leptin concentrations per kg fat mass. Inverse relationships were observed between the change in BMI (kg m -2 ) and the change in hours of sleep per night (h) from Tanner stages 1 to 4 (r ¼ À0.68, Po0.001), from Tanner stages 2 to 5 (r ¼ À0.35, Po0.05) and from Tanner stages 1 to 5 (r ¼ À0.33, Po0.05). Univariate analysis of variance showed that with progressive Tanner stages, BMI increases and sleep duration decreases in an interrelated way independent of possible confounders (R 2 ¼ 0.38, Po0.02). Conclusion: Changes in BMI during puberty were inversely related to changes in sleep duration, independent of possible confounders.

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“…These studies have investigated the influence of lifestyle determinants on childhood overweight (e.g. lifestyle factors (3)(4)(5)(6)(7)(8)(9) ), but only few studies have addressed familial, social and lifestyle factors together (10)(11)(12)(13)(14)(15)(16)(17) . In these cross-sectional studies, parental obesity, low socio-economic status (SES), high weight gain during infancy and television (TV) viewing were found as main determinants of prevalence.…”

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confidence: 99%

Determinants of the prevalence and incidence of overweight in children and adolescents

Plachta-Danielzik

Landsberg

Johannsen

et al. 2010

Public Health Nutr.

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Objective: To systematically analyse determinants of overweight prevalence and incidence in children and adolescents, as a basis of treatment and prevention. Design: Cross-sectional and longitudinal data of the Kiel Obesity Prevention Study (KOPS). Setting: Schools in Kiel, Germany. Subjects: Cross-sectional data from 6249 students aged 5-16 years and 4-year longitudinal data from 1087 children aged 5-11 years. Weight status of students was assessed and familial factors (weight status of parents and siblings, smoking habits), social factors (socio-economic status, nationality, single parenting), birth weight as well as lifestyle variables (physical activity, media time, nutrition) were considered as independent variables in multivariate logistic regression analyses to predict the likelihood of the student being overweight. Results: The cross-sectional data revealed the prevalence of overweight as 18?3 % in boys and 19?2 % in girls. In both sexes determinants of overweight prevalence were overweight and obese parents, overweight siblings, parental smoking, single parenthood and non-German nationality. High birth weight and low physical activity additionally increased the risk in boys. High media time and low parental education were significant determinants in girls. Effect of media time was mediated by maternal weight status in boys as well as by socio-economic status and age in girls. From the longitudinal data, the 4-year cumulative incidence of overweight was 10?0 % in boys and 8?2 % in girls. Parental obesity, parental smoking and low physical activity were determinants of overweight incidence in boys, whereas paternal obesity increased the risk in girls.Conclusions: Treatment and prevention should address family and social determinants with a focus on physical activity and media use.Childhood obesity is a major public health challenge. At present there is a lack of convincing evidence about suitable and effective strategies for the prevention of childhood overweight. Recently, an obesity prevention evidence framework has been proposed (1) . Key policies include: (i) building a case for action on obesity; (ii) identifying contributing factors and points of intervention; (iii) defining opportunities for action; (iv) evaluating potential interventions; and (v) selecting a portfolio of specific policies, programmes and actions. Therefore, a systematic analysis of determinants of overweight in the micro-as well as the macro-environment is necessary to provide a sound basis for developing strategies against overweight. The systematic analysis should include an analysis of the determinants of overweight prevalence as well as overweight incidence, separately. Childhood overweight (and not only obesity) is predictive for adult morbidity and mortality (2) . In addition, the life-long persistence and health consequences of overweight and obesity in many children suggest a strong need for the prevention of overweight (2) . Primary prevention strategies address the whole population, in particular normalweight sub...

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Determinants of overweight in a cohort of Dutch children

Cited by 71 publications

References 50 publications

Tracking of body size from birth to 7 years of age and factors associated with maintenance of a high body size from birth to 7 years of age – the Norwegian Mother and Child Cohort study (MoBa)

Tracking of body size from birth to 7 years of age and factors associated with maintenance of a high body size from birth to 7 years of age – the Norwegian Mother and Child Cohort study (MoBa)

Sleep duration and body-weight development during puberty in a Dutch children cohort

Determinants of the prevalence and incidence of overweight in children and adolescents

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