New Finnish references for length/height-for-age, weight-for-length/height, and BMI-for-age were constructed and should be implemented to monitor growth of children in Finland.

OBJECTIVE: Antibiotics have direct effects on the human intestinal microbiota, particularly in infancy. Antibacterial agents promote growth in farm animals by unknown mechanisms, but little is known about their effects on human weight gain. Our aim was to evaluate the impact of antibiotic exposure during infancy on weight and height in healthy Finnish children. METHODS:The population-based cohort comprised 6114 healthy boys and 5948 healthy girls having primary care weight and height measurements and drug purchase data from birth to 24 months. BMI and height, expressed as z-scores at the median age of 24 months (interquartile range 24 to 26 months), were compared between children exposed and unexposed to antibiotics using analysis of covariance with perinatal factors as covariates.RESULTS: Exposed children were on average heavier than unexposed children (adjusted BMI-forage z-score difference in boys 0.

Population-based birth size references are available for the evaluation of birth size. Accounting for plurality and parity improves the accuracy of birth size evaluation.

IMPORTANCE Growth-monitoring programs in children aim to achieve the early detection of disorders that affect growth. Celiac disease (CD) is underdiagnosed in the pediatric population in which the presenting features often include faltering linear growth, short stature, or poor weight gain. OBJECTIVES To develop new evidence-based cutoffs for screening for growth disorders and to evaluate the performance of these cutoffs among children with CD measured regularly in a nationwide growth screening program. DESIGN, SETTING, AND PARTICIPANTS A longitudinal retrospective study that included longitudinal growth data of healthy children (the reference population) from primary health care and children with CD (the cases) from primary health care and 3 university hospital outpatient clinics in Finland (

BackgroundAccording to current evidence, the prevention of obesity should start early in life. Even the prenatal environment may expose a child to unhealthy weight gain; maternal gestational diabetes is known to be among the prenatal risk factors conducive to obesity. Here we report the effects of antenatal dietary and physical activity counselling on pregnancy and infant weight gain outcomes.MethodsThe study was a non-randomised controlled pragmatic trial aiming to prevent childhood obesity, the setting being municipal maternity health care clinics. The participants (n = 185) were mothers at risk of developing gestational diabetes mellitus and their offspring. The children of the intervention group mothers were born between 2009 and 2010, and children of the control group in 2008. The intervention started between 10–17 gestational weeks and consisted of individual counselling on diet and physical activity by a public health nurse, and two group counselling sessions by a dietician and a physiotherapist. The expectant mothers also received a written information leaflet to motivate them to breastfeed their offspring for at least 6 months. We report the proportion of mothers with pathological glucose tolerance at 26–28 weeks’ gestation, the mother’s gestational weight gain (GWG) and newborn anthropometry. Infant weight gain from 0 to 12 months of age was assessed as weight-for-length standard deviation scores (SDS) and mixed effect linear regression models.ResultsIntervention group mothers had fewer pathological oral glucose tolerance test results (14.6% vs. 29.2%; 95% CI 8.9 to 23.0% vs. 20.8 to 39.4%; p-value 0.016) suggesting that the intervention improved gestational glucose tolerance. Mother’s GWG, newborn anthropometry or infant weight gain did not differ significantly between the groups.ConclusionSince the intervention reduced the prevalence of gestational diabetes mellitus, it may have the potential to diminish obesity risk in offspring. However, results from earlier studies suggest that the possible effect on the offspring’s weight gain may manifest only later in childhood.Trial registrationClinical Trials gov: NCT00970710

Aims: To evaluate three guidelines for selecting short children for diagnostic workup in a general pediatric clinic. Methods: All patients (n = 131) aged 3.00-9.99 years who were referred for growth failure to a general pediatric clinic were evaluated for their medical history and growth and examined. All of them underwent the same standardized diagnostic workup. Retrospectively, the criteria for the diagnostic workup from three guidelines (proposed in the Netherlands, Finland and the UK) were applied, and their sensitivity was assessed. A Dutch reference sample (n = 958) was used for calculating population specificity. Results: In 23 patients (17.6%), a pathological cause of their growth failure was found. The sensitivity of the original Dutch, Finnish and British guidelines was 73.9, 78.3 and 56.5% and their specificity 98.5, 83.7 and 95.8%, respectively. When adding recent growth deflection to the Dutch guideline, sensitivity increased to 87%, but specificity decreased markedly (to 87%). Conclusion: The proposed cutoff values for height standard deviation score and distance to target height/mid-parental height, as used in the Netherlands and Finland, are effective for population growth monitoring, and superior to the monitoring algorithm in the UK. Growth deflection irrespective of height is an important sign of acquired growth disorders, but its specificity is too low for population screening.

This article discusses the rhetorical strategies in Finnish educational policy documents dealing with digitalization. The documents argue that the national education system is in dire need of digital technologies in order to modernize its pedagogy and secure national economic competitiveness. Finnish municipalities, schools, and teachers have high autonomy in implementing curricula, so there is a challenge to them to adopt digitalization at all levels of education.

Monitoring of linear growth is a well-established part of pediatric health care in the developed world. Although monitoring aims to support early diagnosis and timely treatment of disorders affecting growth, such disorders are often diagnosed late. 1 This population-based study assessed the effectiveness of a novel computerized and automated growth monitoring (AGM) strategy integrated into an electronic health record (EHR) system in the primary care setting. Our hypothesis was that compared with standard growth monitoring (SGM), the AGM strategy would result in a better diagnostic yield and facilitate earlier diagnosis of disorders affecting growth.