Suchergebnisse

AbstractAverage adult height is an indicator of population health and a marker of socioeconomic inequalities. This study aimed to assess how socioeconomic differences affect intergenerational height increase between adults born in 1990 and their parents. Data from a population-based cohort of subjects born in 1990 (EPITeen) were analysed. Participants' adult height was objectively measured. Parental height, education, and occupation were reported by the parents. The height difference between daughters and their mothers (n=707), and sons and their fathers (n=647) was calculated. A generalised linear model was used to assess the association between parental education and occupation, separately, and the intergenerational height difference, adjusted for maternal age at birth, smoking during pregnancy, birthweight adjusted for gestational age, and birth order. Females were on average 1.46cm (SD=6.62) taller than their mothers, and males 3.00cm (SD=7.26) taller than their fathers. The highest height gain was shown in those with less advantaged socioeconomic background. In the adjusted model, sons whose mothers had 0-6 years of education grew 3.9cm taller (β=3.894; 95%CI:2.345;5.443) and daughters 1.5cm taller (β=1.529; 95%CI:0.180;2.878) (compared to >12y maternal education); for paternal education, sons and daughters grew 3.5cm (β=3.480; 95%CI:1.913;5.047) and 1.9cm taller (β=1.895; 95%CI:0.526;3.265), respectively. A higher height increase was found in participants with less advantaged maternal and paternal occupational level. Adults born in 1990 are taller than their parents, and height gain was higher in males than females. Adults from a lower socioeconomic status experienced the highest height gain, suggesting a reduction in height inequality.

Aim: The aims of this study were to identify clustering of behaviours in young adolescents and to analyse differences in food intake according to clusters. Subject and methods: A cross-sectional study was carried out on adolescents' behaviours comprising 2,160 adolescents aged 13 years attending schools of Porto, Portugal. We used data of 875 girls and 737 boys with complete information for all variables considered in the cluster definition (tobacco and alcohol use, sport activities, fruit intake, daily sleep hours). The average method was used to find the natural structure of clusters. Results: We identified three clusters: cluster 1 characterized by never smokers and never drinkers represented those with higher intake of fruits and lower intake of soft drinks. Cluster 2 comprised essentially tobacco and alcohol experimenters and was almost similar to cluster 1 regarding the other characteristics. Cluster 3 represented mostly regular smokers and drinkers, and those with the lowest daily sport activities, the lowest number of daily sleep hours, the lowest mean of fruit consumption and the highest intake of sweets and soft drinks. Conclusion: Our findings show that even in the early stages of adolescence there is a cluster of smoking, alcohol use and food intake, providing further evidence of the clustering of unhealthy behaviours.