Gestational age at birth and ‘Body-Mind’ health at 5 years of age : a population based cohort study

Numerous studies have identified the effects of prematurity on the neonate’s physical health, however few studies have explored the effects of prematurity on both the physical and mental health of the child as they develop. Secondary analysis of data from the Millennium Cohort Study, a longitudinal study of infants (n = 18 818, born 2000–2002 in the United Kingdom) was performed. Effects of gestational age at birth on health outcomes at 5 years were measured using parental rating of their children’s general health and severity of behavior problems. The association between parent’s general health ratings and behavior problem ratings was low: 86% of those reporting serious behavior problems (5% of the sample, n = 764) rated their child as being in excellent, very good, or good health. Still, a gradient of increasing risk of poorer outcome with decreasing gestational age was observed for a composite health measure (poor/fair health and/or serious behavior problems), suggesting an association with prematurity for this composite assessment of health status. The greatest contribution to the childhood composite health measure at 5 years was for children born at 32–36 weeks gestation: population attributable fractions for having poor outcomes was 3.4% (Bonferroni-adjusted 95% confidence interval 1.1%–6.2%), compared to 1% (0.2–2.3) for birth at less than 32 weeks. Results suggest that preterm children, by school entry, are not only at high risk of physical health problems, but also of behavioral health problems. The recognition of, and response to comprehensive health and well-being outcomes related to prematurity are important in order to correctly plan and deliver adequate paediatric health services and policies

Gestational age and chronic 'body-mind' health problems in childhood : dose-response association and risk factors

Understanding the developmental course of all health issues associated with preterm birth is important from an individual, clinical and public health point-of-view. Both the number of preterm births and proportion of survivors have increased steadily in recent years. The UK Millennium Cohort Study (n=18 818) was used to examine the association of gestational age with maternal ratings of general health and behavior problems at ages 5 and 11 years using binary and multinomial logistic regression analyses. The association between mothers’ ratings of general health and behavior problems was relatively weak at each time point. Children rated as being in poor general health remained constant over time (4.0% at age 5, 3.8% at age 11), but children rated as having behavioral problems increased by almost 100% (5.6% at 5; 10.5% at 11). A gradient of increasing risk with decreasing gestational age was observed for a composite health measure (general health problems and/or behavior problems) at age 5, amplified at age 11 and was strongest for those with chronic problems (poor health at both age 5 and age 11). This association was found to be compounded by child sex, maternal characteristics at birth (education, employment, marital status) and duration of breast feeding. Integrated support to at-risk families initiated during, or soon after pregnancy, may prevent chronic problems and might potentially reduce long term health costs for both the individual and health services

Impact of parental lifestyle patterns in the preconception and pregnancy periods on childhood obesity

International audienceIntroduction High prevalence of overweight and obesity already observed in preschool children suggests the involvement of early-life risk factors. Preconception period and pregnancy are crucial windows for the implementation of child obesity prevention interventions with parental lifestyle factors as relevant targets. So far, most studies have evaluated their role separately, with only a few having investigated their potential synergistic effect on childhood obesity. Our objective was to investigate parental lifestyle patterns in the preconception and pregnancy periods and their association with the risk of child overweight after 5 years. Materials and methods We harmonized and interpreted results from four European mother-offspring cohorts participating in the EndObesity Consortium [EDEN, France; Elfe, France; Lifeways, Ireland; and Generation R, Netherlands] with data available for 1,900, 18,000, 1,100, and 9,500 families, respectively. Lifestyle factors were collected using questionnaires and included parental smoking, body mass index (BMI), gestational weight gain, diet, physical activity, and sedentary behavior. We applied principal component analyses to identify parental lifestyle patterns in preconception and pregnancy. Their association with risk of overweight (including obesity; OW-OB) and BMI z -scores between 5 and 12 years were assessed using cohort-specific multivariable logistic and linear and regression models (adjusted for potential confounders including parental age, education level, employment status, geographic origin, parity, and household income). Results Among the various lifestyle patterns derived in all cohorts, the two explaining the most variance were characterized by (1) “high parental smoking, low maternal diet quality (and high maternal sedentary behavior in some cohorts)” and, (2) “high parental BMI and low gestational weight gain.” Patterns characterized by high parental BMI, smoking, low diet quality or high sedentary lifestyle before or during pregnancy were associated with higher risk of OW-OB in children, and BMI z -score at any age, with consistent strengths of associations in the main cohorts, except for lifeways. Conclusion This project provides insight into how combined parental lifestyle factors in the preconception and pregnancy periods are associated with the future risk of child obesity. These findings are valuable to inform family-based and multi-behavioural child obesity prevention strategies in early life

Body mass index and height over three generations: evidence from the Lifeways cross-generational cohort study

Background: Obesity and its measure of body mass index are strongly determined by parental body size. Debate continues as to whether both parents contribute equally to offspring body mass which is key to understanding the aetiology of the disease. The aim of this study was to use cohort data from three generations of one family to examine the relative maternal and paternal associations with offspring body mass index and how these associations compare with family height to demonstrate evidence of genetic or environmental cross-generational transmission. Methods: 669 of 1082 families were followed up in 2007/8 as part of the Lifeways study, a prospective observational cross-generation linkage cohort. Height and weight were measured in 529 Irish children aged 5 to 7 years and were self-reported by parents and grandparents. All adults provided information on self-rated health, education status, and indicators of income, diet and physical activity. Associations between the weight, height, and body mass index of family members were examined with mixed models and heritability estimates computed using linear regression analysis. Results: Self-rated health was associated with lower BMI for all family members, as was age for children. When these effects were accounted for evidence of familial associations of BMI from one generation to the next was more apparent in the maternal line. Heritability estimates were higher (h2 = 0.40) for mother-offspring pairs compared to father-offspring pairs (h2 = 0.22). In the previous generation, estimates were higher between mothersparents (h2 = 0.54-0.60) but not between fathers-parents (h2 = -0.04-0.17). Correlations between mother and offspring across two generations remained significant when modelled with fixed variables of socioeconomic status, health, and lifestyle. A similar analysis of height showed strong familial associations from maternal and paternal lines across each generation. Conclusions: This is the first family cohort study to report an enduring association between mother and offspring BMI over three generations. The evidence of BMI transmission over three generations through the maternal line in an observational study corroborates the findings of animal studies. A more detailed analysis of geno and phenotypic data over three generations is warranted to understand the nature of this maternal-offspring relationship.TS 24.4.1

Mobilizing governments and society to combat obesity: Reflections on how data from the WHO European Childhood Obesity Surveillance Initiative are helping to drive policy progress

To meet the need for regular and reliable data on the prevalence of overweight andobesity among children in Europe, the World Health Organization (WHO) EuropeanChildhood Obesity Surveillance Initiative (COSI) was established in 2007. Theresulting robust surveillance system has improved understanding of the public healthchallenge of childhood overweight and obesity in the WHO European Region. For the past decade, data from COSI have helped to inform and drive policy action onnutrition and physical activity in the region. This paper describes illustrative examplesof how COSI data have fed into national and international policy, but the real scopeof COSI's impact is likely to be much broader. In some countries, there are signs thatpolicy responses to COSI data have helped halt the rise in childhood obesity. As thecountries of the WHO European Region commit to pursuing United Action for BetterHealth in Europe in WHO's new European Programme of Work, COSI provides anexcellent example of such united action in practice. Further collaborative action willbe key to tackling this major public health challenge which affects children through-out the regionThe authors gratefully acknowledge support through a grant from the Russian government in the context of the WHO European Office for the Prevention and Control of NCDs. The Ministries of Health of Austria, Croatia, Greece, Italy, Malta, Norway, and the Russian Federation provided financial support for the meetings at which the protocol, data collection procedures, and analyses were discussed. Data collection in the countries featured in this paper was made possible through funding from: Bulgaria: Ministry of Health, National Center of Public Health and Analyses, WHO Regional Office for Europe; Croatia: Ministry of Health, Croatian Institute of Public Health, and WHO Regional Office for Europe; Georgia: WHO; Ireland: Health Service Executive; Italy: Ministry of Health and Italian National Institute of Health; Latvia: Centre for Disease Prevention and Control, Ministry of Health, Latvia; Malta: Ministry of Health; North Macedonia: funded by the Government of North Macedonia through National Annual Program of Public Health and implemented by the Institute of Public Health and Centers of Public Health. WHO country office provides support for training and data management; Portugal: Ministry of Health Institutions, the National Institute of Health, Directorate General of Health, Regional Health Directorates and the kind technical support from the Center for Studies and Research on Social Dynamics and Health (CEIDSS); Turkey: Turkish Ministry of Health and World Bank.info:eu-repo/semantics/publishedVersio

Childhood overweight and obesity in Europe: Changes from 2007 to 2017

The Childhood Obesity Surveillance Initiative (COSI) routinely measures height andweight of primary school children aged 6–9 years and calculates overweight andobesity prevalence within the World Health Organization (WHO) European Regionusing a standard methodology. This study examines the trends in the prevalence ofoverweight and obesity from the first round of COSI carried out in 2007/2008 to thelatest of 2015/2017 in 11 European countries in which data were collected for atleast three rounds. In total 303,155 children were measured. In general, the preva-lence of overweight and obesity among boys and girls decreased in countries withhigh prevalence (Southern Europe) and remained stable or slightly increased in North-ern European and Eastern European countries included in the analysis. Among boys, the highest decrease in overweight (including obesity) was observed in Portugal (from40.5% in 2007/2008 to 28.4 in 2015/2017) and in Greece for obesity (from 30.5% in2009/2010 to 21.7% in 2015/2017). Lithuania recorded the strongest increase in theproportion of boys with overweight (from 24.8% to 28.5%) and obesity (from 9.4% to12.2%). The trends were similar for boys and girls in most countries. Several countriesin Europe have successfully implemented policies and interventions to counteract theincrease of overweight and obesity, but there is still much to be done.The authors gratefully acknowledge support through a grant from the Russian Government in the context of the WHO European Office for the Prevention and Control of NCDs. The Ministries of health of Austria, Croatia, Greece, Italy, Malta, Norway, and the Russian Federation provided financial support for the meetings at which the protocol, data collection procedures, and analyses were discussed. Data collection in the countries included in this study was made possible through funding from: Bulgaria: Ministry of Health, National Center of Public Health and Analyses, and WHO Regional Office for Europe; Czechia: WHO grants AZV MZČR 17-31670 A MZČR-RVO EÚ 00023761, World Health Organization Regional Office for Europe, and WHO country office; Greece: International Hellenic University and Hellenic Medical Association for Obesity; Ireland: Health Service Executive; Italy: Ministry of Health and Italian National Institute of Health; Latvia: Ministry of Health and Centre for Disease Prevention and Control; Lithuania: Science Foundation of Lithuanian University of Health Sciences, Lithuanian Science Council, and WHO; Norway: Ministry of Health and Norwegian Institute of Public Health; Portugal: Ministry of Health Institutions, the National Institute of Health, Directorate General of Health, Regional Health Directorates, and the kind technical support from the Center for Studies and Research on Social Dynamics and Health (CEIDSS); Slovenia: Ministry of Education and Science and Sport of the Republic of Slovenia within the SLOfit surveillance system; and Spain: Spanish Agency for Food Safety and Nutrition (AESAN).info:eu-repo/semantics/publishedVersio

Age-period-cohort analysis for trends in body mass index in Ireland

Background: Obesity is a growing problem worldwide and can often result in a variety of negative health outcomes. In this study we aim to apply partial least squares (PLS) methodology to estimate the separate effects of age, period and cohort on the trends in obesity as measured by body mass index (BMI). Methods. Using PLS we will obtain gender specific linear effects of age, period and cohort on obesity. We also explore and model nonlinear relationships of BMI with age, period and cohort. We analysed the results from 7,796 men and 10,220 women collected through the SLAN (Surveys of Lifestyle, attitudes and Nutrition) in Ireland in the years 1998, 2002 and 2007. Results: PLS analysis revealed a positive period effect over the years. Additionally, men born later tended to have lower BMI (-0.026 kg·m-2 yr-1, 95% CI: -0.030 to -0.024) and older men had in general higher BMI (0.029 kg·m -2 yr-1, 95% CI: 0.026 to 0.033). Similarly for women, those born later had lower BMI (-0.025 kg·m-2 yr-1, 95% CI: -0.029 to -0.022) and older women in general had higher BMI (0.029 kg·m-2 yr-1, 95% CI: 0.025 to 0.033). Nonlinear analyses revealed that BMI has a substantial curvilinear relationship with age, though less so with birth cohort. Conclusion: We notice a generally positive age and period effect but a slightly negative cohort effect. Knowing this, we have a better understanding of the different risk groups which allows for effective public intervention measures to be designed and targeted for these specific population subgroups

Clustering of Multiple Energy Balance-Related Behaviors in School Children and Its Association with Overweight and Obesity—WHO European Childhood Obesity Surveillance Initiative (COSI 2015–2017)

It is unclear how dietary, physical activity and sedentary behaviors co-occur in school-aged children. We investigated the clustering of energy balance-related behaviors and whether the identified clusters were associated with weight status. Participants were 6- to 9-year-old children (n = 63,215, 49.9% girls) from 19 countries participating in the fourth round (2015/2017) of the World Health Organization (WHO) European Childhood Obesity Surveillance Initiative. Energy balance-related behaviors were parentally reported. Weight and height were objectively measured. We performed cluster analysis separately per group of countries (North Europe, East Europe, South Europe/Mediterranean countries and West-Central Asia). Seven clusters were identified in each group. Healthier clusters were common across groups. The pattern of distribution of healthy and unhealthy behaviors within each cluster was group specific. Associations between the clustering of energy balance-related behaviors and weight status varied per group. In South Europe/Mediterranean countries and East Europe, all or most of the cluster solutions were associated with higher risk of overweight/obesity when compared with the cluster 'Physically active and healthy diet'. Few or no associations were observed in North Europe and West-Central Asia, respectively. These findings support the hypothesis that unfavorable weight status is associated with a particular combination of energy balance-related behavior patterns, but only in some groups of countries

Socioeconomic differences in food habits among 6- to 9-year-old children from 23 countries-WHO European Childhood Obesity Surveillance Initiative (COSI 2015/2017)

Background: Socioeconomic differences in children's food habits are a key public health concern. In order to inform policy makers, cross-country surveillance studies of dietary patterns across socioeconomic groups are required. The purpose of this study was to examine associations between socioeconomic status (SES) and children's food habits. Methods: The study was based on nationally representative data from children aged 6-9 years (n = 129,164) in 23 countries in the World Health Organization (WHO) European Region. Multivariate multilevel analyses were used to explore associations between children's food habits (consumption of fruit, vegetables, and sugar-containing soft drinks) and parental education, perceived family wealth and parental employment status. Results: Overall, the present study suggests that unhealthy food habits are associated with lower SES, particularly as assessed by parental education and family perceived wealth, but not parental employment status. We found cross-national and regional variation in associations between SES and food habits and differences in the extent to which the respective indicators of SES were related to children's diet. Conclusion: Socioeconomic differences in children's food habits exist in the majority of European and Asian countries examined in this study. The results are of relevance when addressing strategies, policy actions, and interventions targeting social inequalities in children's diets.The authors gratefully acknowledge support from a grant from the Russian Government in the context of the WHO European Office for the Prevention and Control of NCDs. Data collection in the countries was made possible through funding from Albania: WHO through the Joint Programme on Children, Food Security and Nutrition “Reducing Malnutrition in Children,” funded by the Millennium Development Goals Achievement Fund, and the Institute of Public Health; Bulgaria: Ministry of Health, National Center of Public Health and Analyses, WHO Regional Office for Europe; Croatia: Ministry of Health, Croatian Institute of Public Health and WHO Regional Office for Europe; Czechia: Ministry of Health of the Czech Republic, grant nr. AZV MZČR 17-31670 A and MZČ–VO EÚ 00023761; Denmark: Danish Ministry of Health; Georgia: WHO; Ireland: Health Service Executive; Italy: Ministry of Health and Italian National Institute of Health; Kazakhstan: Ministry of Health of the Republic of Kazakhstan and WHO Country Office; Kyrgyzstan: World Health Organization; Latvia: Ministry of Health, Centre for Disease Prevention and Control; Lithuania: Science Foundation of Lithuanian University of Health Sciences and Lithuanian Science Council and WHO; Malta: Ministry of Health; Montenegro: WHO and Institute of Public Health of Montenegro; Norway: Ministry of Health and Norwegian Institute of Public Health; Poland: National Health Programme, Ministry of Health; Portugal: Ministry of Health Institutions, the National Institute of Health, Directorate General of Health, Regional Health Directorates and the kind technical support from the Center for Studies and Research on Social Dynamics and Health (CEIDSS); Romania: Ministry of Health; Russian Federation: WHO; San Marino: Health Ministry, Educational Ministry; Serbia: This study was supported by the World Health Organization (Ref. File 2015-540940); Spain: Spanish Agency for Food Safety and Nutrition (AESAN); Tajikistan: WHO Country Office in Tajikistan and Ministry of Health and Social Protection; Turkmenistan: WHO Country Office in Turkmenistan and Ministry of Health; Turkey: Turkish Ministry of Health and World Bank. The CO-CREATE project has received funding from the European Union's Horizon 2020 research and innovation program under grant agreement No. 774210.info:eu-repo/semantics/publishedVersio