Bidirectional associations between psychosocial well-being and body mass index in European children : longitudinal findings from the IDEFICS study

Background: The negative impact of childhood overweight on psychosocial well-being has been demonstrated in a number of studies. There is also evidence that psychosocial well-being may influence future overweight. We examined the bidirectional association between childhood overweight and psychosocial well-being in children from a large European cohort. The dual aim was to investigate the chronology of associations between overweight and psychosocial health indicators and the extent to which these associations may be explained by parental education. Methods: Participants from the IDEFICS study were recruited from eight countries between September 2007 and June 2008 when the children were aged 2 to 9.9 years old. Children and families provided data on lifestyle, psychosocial well-being, and measured anthropometry at baseline and at follow-up 2 years later. This study includes children with weight, height, and psychosocial well-being measurements at both time points (n = 7,831). Psychosocial well-being was measured by the KINDL (R) and Strengths and Difficulties Questionnaire respectively. The first instrument measures health-related quality of life including emotional well-being, self-esteem, parent relations and social relations while the second measures well-being based on emotional symptoms, conduct problems and peer-related problems. Logistic regression was used for modeling longitudinal associations. Results: Children who were overweight at baseline had increased risk of poor health-related quality of life (odds ratio (OR) = 1.23; 95 % confidence interval (CI): 1.03-1.48) measured 2 years later; this association was unidirectional. In contrast to health-related quality of life, poor well-being at baseline was associated with increased risk of overweight (OR = 1.39; 95 % CI: 1.03-1.86) at 2 year follow-up; this association was also only observed in one direction. Adjustment for parental education did not change our findings. Conclusion: Our findings indicate that the association between overweight and psychosocial well-being may be bidirectional but varies by assessment measures. Future research should further investigate which aspects of psychosocial well-being are most likely to precede overweight and which are more likely to be consequences of overweight

Height and body-mass index trajectories of school-aged children and adolescents from 1985 to 2019 in 200 countries and territories: a pooled analysis of 2181 population-based studies with 65 million participants

Summary Background Comparable global data on health and nutrition of school-aged children and adolescents are scarce. We aimed to estimate age trajectories and time trends in mean height and mean body-mass index (BMI), which measures weight gain beyond what is expected from height gain, for school-aged children and adolescents. Methods For this pooled analysis, we used a database of cardiometabolic risk factors collated by the Non-Communicable Disease Risk Factor Collaboration. We applied a Bayesian hierarchical model to estimate trends from 1985 to 2019 in mean height and mean BMI in 1-year age groups for ages 5–19 years. The model allowed for non-linear changes over time in mean height and mean BMI and for non-linear changes with age of children and adolescents, including periods of rapid growth during adolescence. Findings We pooled data from 2181 population-based studies, with measurements of height and weight in 65 million participants in 200 countries and territories. In 2019, we estimated a difference of 20 cm or higher in mean height of 19-year-old adolescents between countries with the tallest populations (the Netherlands, Montenegro, Estonia, and Bosnia and Herzegovina for boys; and the Netherlands, Montenegro, Denmark, and Iceland for girls) and those with the shortest populations (Timor-Leste, Laos, Solomon Islands, and Papua New Guinea for boys; and Guatemala, Bangladesh, Nepal, and Timor-Leste for girls). In the same year, the difference between the highest mean BMI (in Pacific island countries, Kuwait, Bahrain, The Bahamas, Chile, the USA, and New Zealand for both boys and girls and in South Africa for girls) and lowest mean BMI (in India, Bangladesh, Timor-Leste, Ethiopia, and Chad for boys and girls; and in Japan and Romania for girls) was approximately 9–10 kg/m2. In some countries, children aged 5 years started with healthier height or BMI than the global median and, in some cases, as healthy as the best performing countries, but they became progressively less healthy compared with their comparators as they grew older by not growing as tall (eg, boys in Austria and Barbados, and girls in Belgium and Puerto Rico) or gaining too much weight for their height (eg, girls and boys in Kuwait, Bahrain, Fiji, Jamaica, and Mexico; and girls in South Africa and New Zealand). In other countries, growing children overtook the height of their comparators (eg, Latvia, Czech Republic, Morocco, and Iran) or curbed their weight gain (eg, Italy, France, and Croatia) in late childhood and adolescence. When changes in both height and BMI were considered, girls in South Korea, Vietnam, Saudi Arabia, Turkey, and some central Asian countries (eg, Armenia and Azerbaijan), and boys in central and western Europe (eg, Portugal, Denmark, Poland, and Montenegro) had the healthiest changes in anthropometric status over the past 3·5 decades because, compared with children and adolescents in other countries, they had a much larger gain in height than they did in BMI. The unhealthiest changes—gaining too little height, too much weight for their height compared with children in other countries, or both—occurred in many countries in sub-Saharan Africa, New Zealand, and the USA for boys and girls; in Malaysia and some Pacific island nations for boys; and in Mexico for girls. Interpretation The height and BMI trajectories over age and time of school-aged children and adolescents are highly variable across countries, which indicates heterogeneous nutritional quality and lifelong health advantages and risks

Rising rural body-mass index is the main driver of the global obesity epidemic in adults

Body-mass index (BMI) has increased steadily in most countries in parallel with a rise in the proportion of the population who live in cities(.)(1,2) This has led to a widely reported view that urbanization is one of the most important drivers of the global rise in obesity(3-6). Here we use 2,009 population-based studies, with measurements of height and weight in more than 112 million adults, to report national, regional and global trends in mean BMI segregated by place of residence (a rural or urban area) from 1985 to 2017. We show that, contrary to the dominant paradigm, more than 55% of the global rise in mean BMI from 1985 to 2017-and more than 80% in some low- and middle-income regions-was due to increases in BMI in rural areas. This large contribution stems from the fact that, with the exception of women in sub-Saharan Africa, BMI is increasing at the same rate or faster in rural areas than in cities in low- and middle-income regions. These trends have in turn resulted in a closing-and in some countries reversal-of the gap in BMI between urban and rural areas in low- and middle-income countries, especially for women. In high-income and industrialized countries, we noted a persistently higher rural BMI, especially for women. There is an urgent need for an integrated approach to rural nutrition that enhances financial and physical access to healthy foods, to avoid replacing the rural undernutrition disadvantage in poor countries with a more general malnutrition disadvantage that entails excessive consumption of low-quality calories.Peer reviewe

Variations in accelerometry measured physical activity and sedentary time across Europe – harmonized analyses of 47,497 children and adolescents

Funder: Ministero delle Politiche Agricole Alimentari e Forestali; doi: http://dx.doi.org/10.13039/501100005401Funder: ZonMw; doi: http://dx.doi.org/10.13039/501100001826Funder: The Research Council of Norway, Division for Society and Health.Abstract: Background: Levels of physical activity and variation in physical activity and sedentary time by place and person in European children and adolescents are largely unknown. The objective of the study was to assess the variations in objectively measured physical activity and sedentary time in children and adolescents across Europe. Methods: Six databases were systematically searched to identify pan-European and national data sets on physical activity and sedentary time assessed by the same accelerometer in children (2 to 9.9 years) and adolescents (≥10 to 18 years). We harmonized individual-level data by reprocessing hip-worn raw accelerometer data files from 30 different studies conducted between 1997 and 2014, representing 47,497 individuals (2–18 years) from 18 different European countries. Results: Overall, a maximum of 29% (95% CI: 25, 33) of children and 29% (95% CI: 25, 32) of adolescents were categorized as sufficiently physically active. We observed substantial country- and region-specific differences in physical activity and sedentary time, with lower physical activity levels and prevalence estimates in Southern European countries. Boys were more active and less sedentary in all age-categories. The onset of age-related lowering or leveling-off of physical activity and increase in sedentary time seems to become apparent at around 6 to 7 years of age. Conclusions: Two third of European children and adolescents are not sufficiently active. Our findings suggest substantial gender-, country- and region-specific differences in physical activity. These results should encourage policymakers, governments, and local and national stakeholders to take action to facilitate an increase in the physical activity levels of young people across Europe

Heterogeneous contributions of change in population distribution of body mass index to change in obesity and underweight NCD Risk Factor Collaboration (NCD-RisC)

From 1985 to 2016, the prevalence of underweight decreased, and that of obesity and severe obesity increased, in most regions, with significant variation in the magnitude of these changes across regions. We investigated how much change in mean body mass index (BMI) explains changes in the prevalence of underweight, obesity, and severe obesity in different regions using data from 2896 population-based studies with 187 million participants. Changes in the prevalence of underweight and total obesity, and to a lesser extent severe obesity, are largely driven by shifts in the distribution of BMI, with smaller contributions from changes in the shape of the distribution. In East and Southeast Asia and sub-Saharan Africa, the underweight tail of the BMI distribution was left behind as the distribution shifted. There is a need for policies that address all forms of malnutrition by making healthy foods accessible and affordable, while restricting unhealthy foods through fiscal and regulatory restrictions

Disordered eating in three different age groups in Cyprus : a comparative cross-sectional study

Objective: The objective of this study was to evaluate disordered eating behaviours (DEBs) in different age groups in a Cypriot non-clinical population sample. Study design: Comparative cross-sectional study. Method: A total of 1716 participants from the Cyprus component of the I.Family study completed the Eating Attitudes Test-26 (EAT-26). The EAT-26 score >= 20 was used to define participants at risk for DEBs. Participants were divided according to age: adolescence (12-18 years old), young adulthood (25-45 years old) and middle adulthood (46-60 years old). Results: Mean EAT-26 total scores were higher for middle adulthood men and women compared with the two younger age groups. Young adulthood women had the highest percentage of behavioural symptoms of DEBs: binge eating (35%) and laxatives/diet pills/ diuretics (12%) compared with the other age groups. Men and women in young adulthood had the highest percentage of participants with EAT-26 scores >= 20. In logistic regression analysis, age group did not prove a significant predictor of DEB risk in a model adjusting for sex, body mass index and physical activity. Conclusion: DEB can present at any age and was not confined to adolescence. (C) 2018 The Royal Society for Public Health. Published by Elsevier Ltd. All rights reserved.Peer reviewe

Associations between parental-reported screen-time behaviour and objectively measured sedentary time in 2-9 year old European children. Results from the IDEFICS study

PURPOSE: Agreement between commonly used measures of childrens SB have to be understood to allow correct interpretations of research findings. This study examined the association between parental-reported screen time and accelerometer-derived SB in 2-9 year old children. METHOD: Cross-sectional data were analysed from 5988 2-9 year old children from 7 European countries who provided both accelerometer-derived and parental-reported SB measures. A cut-point of <25counts/15s was applied for accelerometer-derived sedentary time. Parents reported their children’s daily TV viewing time and computer use, which were combined to obtain daily minutes of screen-time. Agreement between accelerometer derived and parental-reported SB measures was calculated using spearman rank correlations. RESULT(S): Accelerometer-derived sedentary time was significantly lower in 2-5 year olds (340.61±90.16min/day) than in 6-9 year olds (386.58±88.67min/day; t=19.78; p<0.001). Parent-reported screentime was also lower in 2-5 year olds (84.38±54.11min/day) than 6-9 year olds (106.83±60.54min/day; t=14.92; p<0.001). A significant but weak association was found between accelerometer-derived sedentary time and parent-reported screen-time in 6-9 year olds (rho=0.09; p<0.001) while no association was found in 2-5 year olds (rho=0.01; p>0.05). When stratified by country, the magnitude of the associations varied in both age groups but none of the associations was found to be acceptable (0.01<=rho<=0.19). CONCLUSION(S): Parent-reported screen-time was not a good indicator of total sedentary time in 2-5 and 6-9 year old European children

Cohort-Based Reference Values for Serum Ferritin and Transferrin and Longitudinal Determinants of Iron Status in European Children Aged 3–15 Years

Background: Reference values of ferritin and transferrin for European children do not exist. Objective: We aimed to provide sex-, age-, and body mass index (BMI)-specific serum ferritin and transferrin reference percentiles of 3–15-y-old children based on cohort data and to investigate determinants of iron status. Methods: A total of 3390 ferritin and 3416 transferrin measurements from children residing in 8 European countries participating in the IDEFICS/I.Family cohort (https://www.isrctn.com/ISRCTN62310987) at baseline (W0) and 6 y later (W3) were used to estimate percentiles using the generalized additive model for location, scale and shape. Associations of serum ferritin and transferrin concentrations with total iron intake, total iron intake additionally adjusted for vitamin C intake, and iron from heme sources were investigated separately with adjustment for sex, age, country of residence, parental education, usual energy intake and BMI z-score in regression models using cross-sectional and longitudinal data. Results: The age-specific ferritin and transferrin 5th and 95th reference percentiles ranged from 10.9 to 81.1 μg/L and 2.23 to 3.56 g/L, respectively. A deficient iron status was observed in 3% of children at W0 and 7% of children and adolescents at W3, respectively. At both waves, a higher iron intake from heme sources was positively associated with serum ferritin {W0: β = 3.21 [95% confidence interval (CI): 0.71, 5.71]; W3: β = 4.48 [95% CI: 2.09, 6.87]}, that is, children consuming one mg more heme iron had a 3.21 and 4.48 μg/L higher ferritin concentration. Adherence to a mainly vegetarian diet was associated with a lower chance for sufficient serum ferritin cross-sectionally at W3 [odds ratio (OR) 0.40 (95% CI: 0.21, 0.81)] and longitudinally [OR 0.35 (95% CI: 0.15, 0.93)]. Conclusions: Age-, sex-, and BMI-specific reference percentiles of serum ferritin and transferrin concentrations based on cohort data are provided for European children aged 3–15 y and may be used in clinical practice. CC BY 4.0 DEED© 2023 The AuthorsCorrespondence Address: M. Wolters; Leibniz Institute for Prevention Research and Epidemiology – BIPS, Bremen, Germany; email: [email protected]; CODEN: JONUAThe IDEFICS study (http://www.idefics.eu) was supported by the European Commission within the Sixth RTD Framework Program [Contract No. 016181 (FOOD)] and the I.Family study (http://www.ifamilystudy.eu) was funded within the Seventh RTD Framework Program [Contract No. 266044].</p

Prevalence of psychosomatic and emotional symptoms in European school-aged children and its relationship with childhood adversities : results from the IDEFICS study

The prevalence of childhood stress and psychosomatic and emotional symptoms (PES) has increased in parallel, indicating that adverse, stressful circumstances and PES in children might be associated. This study describes the prevalence of PES in European children, aged 4-11 years old, and examines the relationship among PES, negative life events (NLE) and familial or social adversities in the child's life. Parent-reported data on childhood adversities and PES was collected for 4,066 children from 8 European countries, who participated in the follow-up survey of IDEFICS (2009-2010), by means of the 'IDEFICS parental questionnaire'. A modified version of the 'Social Readjustment Rating Scale', the 'KINDL Questionnaire for Measuring Health-Related Quality of Life in Children and Adolescents' and the 'Strengths and Difficulties Questionnaire' were incorporated in this questionnaire, as well as questions on socio-demographics, family lifestyle and health of the child. Chi-square analyses were performed to investigate the prevalence of PES among survey centres, age groups and sex of the child. Odds ratios were calculated to examine the childhood adversity exposure between PES groups and logistic regression analyses were conducted to investigate: (a) the contribution of the number and (b) the specific types of experienced adversities on the occurrence of PES. 45.7% of the children experienced at least one PES, with low emotional well-being during the last week being most frequently reported (38.2%). No sex differences were shown for the prevalence of PES (P = 0.282), but prevalence proportions rose with increasing age (P < 0.001). Children with PES were more frequently exposed to childhood adversities compared to children without PES (e.g. 13.3 and 3.9% of peer problems and 25.4 and 17.4% of non-traditional family structure in the PES vs. no PES group, respectively, P < 0.001). An increasing number of adversities (regardless of their nature) was found to gradually amplify the risk for PES (OR = 2.85, 95% CI = 1.98-4.12 for a number of a parts per thousand yen3 NLE), indicating the effect of cumulative stress. Finally, a number of specified adversities were identified as apparent risk factors for the occurrence of PES, such as living in a non-traditional family structure (OR = 1.52, 95% CI = 1.30-1.79) or experiencing peer problems (OR = 3.55, 95% CI = 2.73-4.61). Childhood adversities were significantly related to PES prevalence, both quantitatively (i.e. the number of adversities) and qualitatively (i.e. the type of adversity). This study demonstrates the importance and the impact of the child's family and social context on the occurrence of PES in children younger than 12 years old

Numerical experiments on smart beams and plates

Summarization: Smart composite beams and plates with embedded piezoelectric sensors and actuators are considered. After a short presentation of the mechanical models and their discretization, we focus on problems of active structural control and identification. In particular we solve, using various algorithms, robust optimal control problems and damage identification tasks.Παρουσιάστηκε στο: European Conference on Smart Systems , Volume: Topics on Mathematics for Smart Systems, World Scientifi