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Background Timing and types of complementary feeding in infancy affect nutritional status and health later in life. The present study aimed to investigate the factors associated with early introduction of complementary feeding (i.e., before age 4 months), and factors associated with infants consumption of non-recommended foods, including sweet beverages and snack foods. Methods This study used cross-sectional data from the BeeBOFT study (n = 2157). Data on complementary feeding practices and potential determinants were obtained by questionnaire at infant’s age of 6 months. Logistic regression models were used to investigate factors associated with early introduction of complementary feeding and infants’ consumption of non-recommended foods. Results 21.4% of infants had received complementary feeding before 4 months of age. At the age of 6 months, 20.2% of all infants were consuming sweet beverages daily and 16.5% were consuming snack foods daily. Younger maternal age, lower maternal educational level, absence or shorter duration of breastfeeding, parental conviction that “my child always wants to eat when he/she sees someone eating” and not attending day-care were independently associated with both early introduction of complementary feeding and the consumption of non-recommended foods. Higher maternal pre-pregnancy BMI and infant postnatal weight gain were associated only with early introduction of complementary feeding. Conclusions We identified several demographical, biological, behavioral, psychosocial, and social factors associated with inappropriate complementary feeding practices. These findings are relevant for designing intervention programs aimed at educating parents. Trial registration The trail is registered at Netherlands Trial Register, trail registration number: NTR1831. Retrospectively registered on May 29, 2009. Electronic supplementary material The online version of this article (10.1186/s12889-019-6722-4) contains supplementary material, which is available to authorized users.

Background To identify the patterns of lifestyle behaviours in children aged 3 years, to investigate the parental and child characteristics associated with the lifestyle patterns, and to examine whether the identified lifestyle patterns are associated with child BMI and weight status. Methods Cross-sectional data of 2090 children 3 years old participating in the Dutch BeeBOFT study were used. Child dietary intakes, screen times and physical activity were assessed by parental questionnaire, and child weight and height were measured by trained professionals according to a standardized protocol. Latent class analysis was applied to identify patterns of lifestyle behaviours among children. Results Three subgroups of children with distinct patterns of lifestyle behaviours were identified: the ‘unhealthy lifestyle’ pattern (36%), the ‘low snacking and low screen time’ pattern (48%) and the ‘active, high fruit and vegetable, high snacking and high screen time’ pattern (16%). Children with low maternal educational level, those raised with permissive parenting style (compared those with authoritative parents), and boys were more likely be allocated to the ‘unhealthy lifestyle’ pattern and the ‘active, high fruit and vegetable, high snacking and high screen time’ pattern (P Conclusions Three different lifestyle patterns were observed among children aged 3 years. Low maternal educational level, permissive parenting style and male gender of the child were associated with having unhealthy lifestyle patterns for the child.

BACKGROUND: Prevention of overweight during early childhood seems promising. OBJECTIVE: To evaluate the effectiveness of the parenting-based BBOFT+ overweight prevention program on child BMI, child health behavior and parenting behavior among 0-36 month old children. BBOFT+ is an acronym for the key healthy lifestyle behaviors that are targeted in the BBOFT+ intervention: breastfeeding (B), daily breakfast (B), daily going outdoors (O), limiting sweet beverages (in Dutch, F) and minimal TV or computer time (T), complemented with healthy sleep behavior and improvement of parenting skills (+). METHODS: A cluster randomized controlled trial in newborn children visiting well-baby clinics, comparing the BBOFT+ intervention (N = 901) with care as usual (CAU) (N = 1094). In both groups, parents received regular well-child visits (±11 visits in the first 3 years). In the intervention group, care was supplemented with the BBOFT+ program, which focuses on improving parenting skills from birth onwards to increase healthy behavior. Questionnaires were filled in at child's age 2-4 weeks, 6, 14 and 36 months. In multivariate analyses we corrected for child's birthweight, age, ethnic background, mother's educational level and BMI. RESULTS: No differences were found in weight status at 36 months between intervention and control group children. At 6 months, BBOFT+ parents reported their child drinking less sweet beverages than control parents (48% vs 54%;p = .027), and going outdoors daily with their child less often (57% vs 62%;p = .03). At 14 months, more BBOFT+ parents than control parents reported to have breastfed for six months or longer (32% vs 29%;p = .022). At 36 months, more BBOFT+ parents than control parents reported their child going outside daily (78% vs 72%;p = .011) and having less TV/computer time on week- (38% vs 46%;p = .001) and weekend days (48% vs 56%;p = .002). Also, BBOFT+ parents reported having more parental control than control parents (3.92 vs 3.89;p = .02). No significant differences were found for daily breakfast, sleep duration and parenting practices in adjusted analyses. CONCLUSION: The BBOFT+ overweight prevention program showed small improvements in parent-reported child health behaviors, compared to care as usual; no effect was observed on child BMI. The identified modifiable elements are potentially relevant for interventions that aim to prevent overweight.

Developmental milestones are commonly used in child health care, although from many milestones the predictive validity has not been adequately assessed. We aimed to determine the predictive validity of 75 developmental milestones for detecting limited intellectual functioning that can be obtained before the age of 4 years. We performed a case-control study with 148 children aged 5–10 years with limited intellectual functioning (IQ 50–69), who were in special education (cases) and a random sample of 300 children aged 5–10 years who were in regular elementary education (controls). Developmental milestones scores were retrieved from Child Healthcare files. We calculated sensitivity, specificity, positive likelihood ratios (LR+) and diagnostic odds ratios (DOR) for limited intellectual functioning. The LR+ determines whether a test result changes the probability that a condition exists. Given the prevalence of intellectual disability (1–3%), we considered that an LR+ > 10 would be clinically useful, as it increases the a priori probability of limited intellectual functioning from 2% to a posteriori probability of at least 17%. Out of 75 assessed milestones, 50 were included in the analysis. We found nine milestones to have a significant adjusted (for socio-economic status and prematurity) DOR > 1 and a significant LR+ > 10 (assessment age in months between brackets): ‘says "dada-baba‴ (9), ‘balances head well while sitting’ (9), ‘sits on buttocks while legs stretched’ (9), ‘babbles while playing’ (12), ‘sits in stable position without support’ (12), ‘walks well alone’ (24), ‘says "sentences" of 3 or more words’ (36), ‘places 3 forms in form-box’ (36) and ‘copies circle’ (48). Sensitivities of these 9 milestones varied from 8–54%, specificities of these 9 milestones varied from 95–100%. Combining these milestones at 9, 12, and 36 months respectively resulted in sensitivities of 27–60% and specificities of 94–99%. These nine developmental milestones have substantial predictive validity for limited intellectual functioning.

Background The aim of this study is to understand the determinants of adherence to wrap-around care (WAC) by professional care providers working in child and family services. WAC is a care coordination method targeting families with complex needs. The core components of WAC involve activating family members and the social network, integrating the care provider network, and assessing, planning and evaluating the care process. WAC was introduced in the Netherlands using two approaches: the network approach (NA) and the team approach (TA). Methods A cross-sectional study was conducted using a digital questionnaire targeted at care providers. After imputation of missing data, univariate and multilevel regression analyses were conducted to study the associations between adherence to the core components of WAC, the determinants of adherence and background characteristics. Results In total 145 out of 275 care providers (52.7%) responded to the questionnaire. Multilevel regression analysis showed that self-efficacy of the care providers and the way WAC is organised (NA versus TA region) were significantly associated with adherence to core components of WAC. Self-efficacy was significantly associated with all WAC core components (activating family members and the social network: β (95% confidence interval, CI) = .27(.04–.50), integrating the network of care providers: β (95% CI) = .27(.05–.50) and assessing, planning and evaluating the care process: β (95% CI) = .30(.08–.52)). The way WAC is organised was significantly associated to two core components (activating family members and the social network: β (95% CI) = .18(0.1–.37) and integrating the network of care providers: β (95% CI) = .25(.09–.42)). Conclusion The way WAC is organised and the self-efficacy of care providers who use WAC are factors that are relevant for the redesign of the strategy for introducing WAC. Longitudinal research into the predictive value of determinants of adherence to WAC is advised. Electronic supplementary material The online version of this article (10.1186/s12913-018-3774-6) contains supplementary material, which is available to authorized users.

Summary Background Relatively, few longitudinal studies have evaluated the association between sleep and body mass index (BMI) among younger children. In addition, few studies have evaluated the bidirectional longitudinal association between sleep duration and child BMI. Objective The objective of the study is to determine in children aged 6 to 36 months (1) the cross‐sectional association of sleep duration and sleep problems with child BMI z score, (2) whether sleep duration predicts changes in child BMI z score, and (3) and whether BMI z score can predict changes in child sleep duration. Methods This study used longitudinal data from the BeeBOFT study (N = 2308). Child sleep duration and sleep problems (indicated by night awakenings and sleep‐onset latency) were parent reported, and child BMI was measured using a standardized protocol by trained healthcare professionals at approximately 6, 14, and 36 months of age. Linear mixed models and linear regression models were applied to assess the cross‐sectional and bidirectional longitudinal associations between sleep and BMI z scores. Results Cross sectionally, shorter sleep duration was associated with higher BMI z scores at 14 (β = −0.034, P

BACKGROUND: Increased weight gain during infancy is a risk factor for obesity and related diseases in later life. The aim of the present study was to investigate the association between socioeconomic status (SES) and weight gain during infancy, and to identify the factors mediating the association between SES and infant weight gain. METHODS: Subjects were 2513 parent-child dyads participating in a cluster randomized controlled intervention study. Family SES was indexed by maternal education level. Weight gain in different time windows (infant age 0-3, 0-6, and 6-12 months) was calculated by subtracting the weight for age z-score (WAZ) between the two time-points. Path analysis was performed to examine the mediating pathways linking SES and infant weight gain. RESULTS: On average, infants of low-educated mothers had a lower birth weight and caught-up at approximately 6 months. In the period of 0-6 months, infants with low-educated mothers had an 0.42 (95% CI 0.27-0.57) higher gain in weight for age z-score compared to children with high-educated mothers. The association between maternal education level and increased infant weight gain in the period of 0-6 months can be explained by infant birth weight, gestational age at child birth, duration of breastfeeding, and age at introduction of complementary foods. After adjusting all the mediating factors, there was no association between maternal education level and infant weight gain. CONCLUSION: Infants with lower SES had an increased weight gain during the first 6 months of infancy, and the effect can be explained by infant birth weight, gestational age at child birth, and infant feeding practices.

Background Two overweight prevention interventions were developed to be offered by preventive Youth Health Care (YHC) in addition to the currently applied overweight prevention protocol to parents of 0-3 year old children. The two interventions aim to support parents of preschool children to realize healthy child nutrition and activity behaviors of their young child. The aim of this study is to assess the effects of the two overweight prevention interventions with regard to child health behaviors and child Body Mass Index. Methods/Design A cluster randomized controlled trial was conducted among parents and their preschool children who attend one of 51 participating YHC teams. The teams were randomly allocated to one of the two intervention groups, or to the control group (care as usual). The ‘BBOFT+’ intervention focuses on effective child rearing by parents from birth onwards by enlarging parental skills concerning healthy behavioural life-style habits. Parents who are allocated to the ‘E-health4Uth Healthy toddler’ intervention group, at the child age of circa 18 and 24 months old, are invited to complete an online E-health module providing tailored health education regarding healthy child nutrition and activity behaviors. The E-health messages are discussed and reinforced during the subsequent regularly scheduled visits by YHC professionals, and were repeated after 4 weeks. The primary outcome measures at child age 3 years are: overweight inducing/reducing behaviors, (for ‘BBOFT+’ only) healthy sleep, Body Mass Index and prevalence of overweight and obesity. Secondary outcome measures are attitudes and other cognitive characteristics of the parents regarding the overweight-related behaviors of their child, parenting styles and practices, and health-related quality of life of the children. Discussion We hypothesize that the use of the additional interventions will result in a healthier lifestyle of preschool children and an improved BMI and less development of overweight and obesity compared to usual care. Trial registration Nederlands Trial Register NTR1831.