Rejane Augusta de Oliveira Figueiredo

Introduction: The global epidemic of obesity concerns children, and monitoring the prevalence is of highest priority. Body mass index (BMI) with age- and sex-specific cutoff values determines weight status in children, although multiple reference systems exist. Our aim was to compare the prevalence for thinness, normal weight, overweight, and obesity in Finnish school-aged children according to national and international reference values, as well as to determine which cutoff values for overweight agree with the criteria for central obesity. Methods: This study includes 10,646 children aged 9–12 years from the Finnish Health in Teens cohort. Height, weight, and waist circumference were measured in 2011–2014. BMI (weight [kg]/height [m]2) and the waist-to-height ratio (WHtR; waist [cm]/height [cm]) were calculated. The WHtR cutoff of >0.5 indicated central obesity. We compared the sex-specific prevalence of thinness, overweight, and obesity using the International Obesity Task Force (IOTF), World Health Organization (WHO) and Finnish (FIN) BMI-for-age reference values, as well as these three against central obesity based on the WHtR. Results: The prevalence of thinness, overweight, and obesity were 11.0%, 12.7%, and 2.6%, respectively, using IOTF; 2.6%, 15.9%, and 5.2% using WHO; and 5.1%, 11.4%, and 2.2% using FIN. Overweight and obesity were more common in boys than girls using WHO and FIN, while thinness was more common in girls using IOTF and FIN. IOTF versus WHO exhibited moderate agreement (κ = 0.59), which improved for IOTF versus FIN (κ = 0.74). Of those classified as overweight by WHO, 37% and 47% were regarded as normal weight according to IOTF and FIN, respectively. The prevalence of central obesity was 8.7%, and it was more common in boys than girls. WHO provided the highest sensitivity: 95% of individuals with central obesity were classified with overweight or obesity. Using FIN provided the highest specificity (93%). Conclusion: Our findings show that WHO overestimates the prevalence of overweight and obesity, while IOTF overrates thinness. Thus, comparing prevalence rates between studies requires caution. The novelty of this study is the comparison of the cutoff values for overweight with central obesity. The choice of reference system affects the generalizability of the research results.

We examined whether parental happiness associate with preschoolers’ healthy energy balance-related behaviors (EBRBs) and with the co-occurrence of multiple healthy EBRBs. This cross-sectional study included 647 pairs of parents (88% mothers) and children (mean age 4.7, SD 0.9 years). Parents completed the Subjective Happiness Scale. In addition, ActiGraph accelerometers measured children’s physical activity, and parents reported screen time and food consumption on behalf of their children. We defined four healthy EBRBs: meeting physical activity guidelines; meeting screen time guidelines; a higher consumption of vegetables, fruits and berries; and a lower consumption of sugary foods, treats and drinks. Parental happiness scores did not associate with children’s healthy EBRBs when each behavior was analyzed separately. However, parents with higher happiness scores were more likely to have a child with 2 or 3–4 healthy EBRBs than a child with 0–1 healthy EBRBs. To conclude, parents who are happier have children with multiple healthy EBRBs. Targeting parental wellbeing should be considered when promoting children’s healthy EBRBs.

Interventions promoting young children’s healthy energy balance-related behaviours (EBRBs) should also examine changes in the family environment as this is an important determinant that may affect the effectiveness of the intervention. This study examines family environmental effects of the Increased Health and Wellbeing in Preschools (DAGIS) intervention study, and whether these effects differed when considering three parental educational level (PEL) groups. The DAGIS intervention was conducted in preschools and involving parents in Southern Finland from September 2017 to May 2018. It was designed as a randomised trial, clustered at preschool-level. Parents of 3–6-year-olds answered questionnaires recording PEL, parental role modelling for EBRBs, and the family environment measured as EBRBs availability and accessibility. Linear Mixed Models with Repeated Measures were used in order to detect intervention effects. Models included group by time interactions. When examining intervention effects separated by PEL groups, models with three-level interactions (group × time-points × PEL) were evaluated. There was an interaction effect for the availability of sugary everyday foods and drinks (p = 0.002). The analyses showed that the control group increased availability (p = 0.003), whereas in the intervention group no changes were detected (p = 0.150). In the analysis separated by PEL groups, changes were found only for the accessibility of sugary treats at home; the high PEL control group increased the accessibility of sugary treats (p = 0.022) (interaction effect: p = 0.027). Hence, results suggest that the DAGIS multicomponent intervention had a limited impact on determinants for children’s healthy EBRBs, and no impact was found in the low PEL group.

Summary: Background: Antimicrobial agents (AMs) are the most prescribed drugs to children. Early and repeated exposure to AMs in infancy is associated with increased risk of childhood overweight and obesity.Aims: We extended the investigation of AMs use, from birth to early adolescence, and evaluated their association with weight status.Materials & Methods: A total of 10093 children from Finnish Health in Teens cohort (Fin‐HIT) with register‐based data on AMs purchases and measured weight status at the mean age of 11.2 y (SD 0.82) were included in the study. The key exposures were the number AM purchases at a given age or the sum of these during the entire follow‐up time to describe lifetime exposure / use. Outcome was weight status in early adolescence defined with International Obesity Task Force cut‐offs for the age‐ and sex‐specific body mass index. Odds Ratio (OR) and 95% confidence intervals (CI) were estimated using Multinomial Logistic Regression.Results: Of children, 73.7% were normal weight, 11.1% thin and 15.2% overweight/obese. AMs use was highest during the second year of life, when 65% of all children used AMs, but thereafter decreased with age. The highest mean purchases and prevalence at any given age along with the highest lifetime use were consistently seen among overweight children. Each episode of AMs use throughout life increased the risk of being overweight in adolescence [OR = 1.02 (1.02–1.03)]. However, there was an inverse association between AMs use and thinness [OR = 0.98 (0.97–0.99)].Discussion: Despite a high prevalence of AMs use during the early years, lifetime‐use was associated with weight status in early adolescence in a dose response manner.Conclusion: Future studies should address mechanisms underlying the relationship between AM use and weight.

The study examines the effects of a preschool-based family-involving multicomponent intervention on children’s energy balance-related behaviors (EBRBs) such as food consumption, screen time and physical activity (PA), and self-regulation (SR) skills, and whether the intervention effects differed among children with low or high parental educational level (PEL) backgrounds. The Increased Health and Wellbeing in Preschools (DAGIS) intervention was conducted as a clustered randomized controlled trial, clustered at preschool level, over five months in 2017–2018. Altogether, 802 children aged 3–6 years in age participated. Parents reported children’s consumption of sugary everyday foods and beverages, sugary treats, fruits, and vegetables by a food frequency questionnaire, and screen time by a 7-day diary. Physical activity was assessed by a hip-worn accelerometer. Cognitive and emotional SR was reported in a questionnaire by parents. General linear mixed models with and without repeated measures were used as statistical methods. At follow-up, no differences were detected in EBRBs or SR skills between the intervention and control group, nor did differences emerge in children’s EBRBs between the intervention and the control groups when stratified by PEL. The improvement in cognitive SR skills among low PEL intervention children differed from low PEL control children, the significance being borderline. The DAGIS multicomponent intervention did not significantly affect children’s EBRBs or SR. Further sub-analyses and a comprehensive process evaluation may shed light on the non-significant findings.

Background: The human microbiota contributes to health and well-being. Antimicrobials (AM) have an immediate effect on microbial diversity and composition in the gut, but next to nothing is known about their long-term contribution to saliva microbiota. Our objectives were to investigate the long-term impact of AM use on saliva microbiota diversity and composition in preadolescents. We compared the lifetime effects by gender and AMs. We used data from 808 randomly selected children in the Finnish Health In Teens (Fin-HIT) cohort with register-based data on AM purchases from the Social Insurance Institution of Finland. Saliva microbiota was assessed with 16S rRNA (V3-V4) sequencing. The sequences were aligned to the SILVA ribosomal RNA database and classified and counted using the mothur pipeline. Associations between AM use and alpha-diversity (Shannon index) were identified with linear regression, while associations between beta-diversity (Bray-Curtis dissimilarity) and low, medium or high AM use were identified with PERMANOVA.Results: Of the children, 53.6% were girls and their mean age was 11.7 (0.4) years. On average, the children had 7.4 (ranging from 0 to 41) AM prescriptions during their lifespan. The four most commonly used AMs were amoxicillin (n= 2622, 43.7%), azithromycin (n= 1495, 24.9%), amoxicillin-clavulanate (n= 1123, 18.7%) and phenoxymethylpenicillin (n= 408, 6.8%). A linear inverse association was observed between the use of azithromycin and Shannon index (b− 0.015,pvalue = 0.002) in all children, the effect was driven by girls (b− 0.032,pvalue = 0.001), while not present in boys. Dissimilarities were marked between high, medium and low users of all AMs combined, in azithromycin users specifically, and in boys with amoxicillin use. Amoxicillin and amoxicillin-clavulanate use was associated with the largest decrease in abundance ofRikenellaceae. AM use in general and phenoxymethylpenicillin specifically were associated with a decrease ofPaludibacterand pathways related to amino acid degradations differed in proportion between high and low AM users.Conclusions: A systematic approach utilising reliable registry data on lifetime use of AMs demonstrated long-term effects on saliva microbiota diversity and composition. These effects are gender- and AM-dependent. We found that frequent lifelong use of AMs shifts bacterial profiles years later, which might have unforeseen health impacts in the future. Our findings emphasise a concern for high azithromycin use, which substantially decreases bacterial diversity and affects composition as well. Further studies are needed to determine the clinical implications of our findings.

Convincing evidence suggests that diets laden with added sugar, specifically sugar-sweetened beverages, associate with excess weight in children. The relationships between sugar consumption frequency and BMI remain less well studied. We, therefore, evaluated children’s consumption frequency of selected sugary products (n8461; mean age 11·1 (sd0·9) years) selected from the Finnish Health in Teens cohort study. Using a sixteen-item FFQ including six sugary products (chocolate/sweets, biscuits/cookies, ice cream, sweet pastry, sugary juice drinks and sugary soft drinks), we calculated a Sweet Treat Index (STI) for the frequency of weekly sugary product consumption and categorised children based on quartiles (Q) into low (Q1, cut-off < 4·0), medium (Q2 + Q3, range 4·0–10·5) and high STI (Q4, cut-off > 10·5), and as thin, normal and overweight/obese based on the measured BMI. Through multinomial logistic regression analyses, we found that subjects with a high STI exhibited a higher risk of being thin (OR 1·20, 95 % CI 1·02, 1·41) and lower risk of being overweight (OR 0·79, 95 % CI 0·67, 0·92), while subjects with a low STI were at higher risk of being overweight (OR 1·32, 95 % CI 1·14, 1·53). High consumption frequencies of salty snacks, pizza and hamburgers most closely were associated with a high STI. Our findings suggest that consuming sugary products at a high frequency does not associate with being overweight. The relationship between a low consumption frequency and being overweight suggests that overweight children’s consumption frequency of sugary products may be controlled, restricted or underreported.

Background: Breastfeeding contributes to gastrointestinal microbiota colonization in early life, but its long-term impact is inconclusive. We aimed to evaluate whether the type of feeding during the first six months of life was associated with oral microbiota in adolescence. Methods: This is a cross-sectional sub-study using baseline information of 423 adolescents from the Finnish Health in Teens (Fin-HIT) cohort. Type of feeding was recalled by parents and dichotomized as (i) No infant formula; (ii) Infant formula (breastmilk + formula or only formula). Saliva microbiota was analysed using 16S rRNA (V3–V4) sequencing. Alpha diversity and beta diversity were compared between feeding type groups using ANCOVA and PERMANOVA, respectively. Differential bacteria abundance was tested using appropriate general linear models. Results: Mean age and body mass index were 11.7 years and 18.0 kg/m², respectively. The No formula group contained 41% of the participants. Firmicutes (51.0%), Bacteroidetes (19.1%), and Proteobacteria (16.3%) were the most abundant phyla among all participants. Alpha and beta diversity indices did not differ between the two feeding groups. Three Operational Taxonomic Units (OTUs) belonging to Eubacteria and Veillonella genera (phylum Firmicutes) were more abundant in the No formula than in the Infant formula group (log2fold changes/ p - values − 0.920/ < 0.001, − 0.328/ 0.001, − 0.577/ 0.004). Conclusion: Differences exist in abundances of some OTUs in adolescence according to feeding type during the first six months of life, but our findings do not support diversity and overall oral microbiota composition in adolescents being affected by early feeding type.