scholarly journals Prevalence and early‐life risk factors of school age allergic multimorbidity – the EuroPrevall‐iFAAM birth cohort

Allergy ◽  
2021 ◽  
Author(s):  
Sigurveig T Sigurdardottir ◽  
Kristjan Jonasson ◽  
Michael Clausen ◽  
Kristin Lilja Bjornsdottir ◽  
Sigridur Erla Sigurdardottir ◽  
...  
Keyword(s):  
Risk Factors ◽  
Birth Cohort ◽  
Early Life ◽  
School Age

scholarly journals Longitudinal trajectories of severe wheeze exacerbations from infancy to school age and their association with early‐life risk factors and late asthma outcomes

2020 ◽  
Vol 50 (3) ◽  
pp. 315-324 ◽  
Author(s):  
Matea Deliu ◽  
Sara Fontanella ◽  
Sadia Haider ◽  
Matthew Sperrin ◽  
Nophar Geifman ◽  
...  
Keyword(s):  
Risk Factors ◽  
Early Life ◽  
School Age ◽  
Longitudinal Trajectories ◽  
Asthma Outcomes

Prenatal and early life origins of adolescence sleep problems: evidence from a birth cohort

2018 ◽  
Vol 0 (0) ◽  
Author(s):  
Yaqoot Fatima ◽  
Alice Cairns ◽  
Isabelle Skinner ◽  
Suhail A.R. Doi ◽  
Abdullah Al Mamun
Keyword(s):  
Risk Factors ◽  
Birth Cohort ◽  
Early Life ◽  
Sleep Problems ◽  
Error Variance ◽  
Poor Health ◽  
Lifestyle Choices ◽  
Close Observation ◽  
Potential Strategy ◽  
Sleep Talking

Abstract Purpose This study aims to identify the prenatal and early life predictors of adolescence sleep problems. Methods Sleep data (n = 5081) from the 14-year (13.92 ± 0.34 years) follow-up of a birth cohort were analyzed to explore the predictors of adolescence trouble sleeping, nightmares, snoring and sleep talking/walking. Data from the antenatal period till adolescence were explored for identifying predictors of adolescence sleep problems. Modified Poisson regression with a robust error variance was used to identify significant predictors. Results Our results suggest that about a quarter of adolescents in our study sample had sleep maintenance problems (nightmares: 27.88%, snoring: 23.20%, sleepwalking/talking 27.72%). The prevalence rate of sleep initiation problems was even higher (trouble sleeping: 40.61%). Our results suggest that antenatal and early-life factors, e.g. maternal smoking, anxiety, sleep problems in childhood, attention deficit hyperactivity disorder (ADHD) symptoms, and poor health are significant predictors of adolescence sleep problems. Conclusions This study demonstrates the predictive role of prenatal and early life risk factors in adolescence sleep problems. It seems that exposure to prenatal and early life risk factors increase the vulnerability for sleep problems later in life, which is further supported by poor health and lifestyle choices in adolescence. Therefore, close observation and mitigation of factors associated with early life risk factors could be a potential strategy for preventing sleep problems later in life.

scholarly journals 1459Socioeconomic position influence on the early-life individual exposome in the Italian NINFEA birth cohort

2021 ◽  
Vol 50 (Supplement_1) ◽  
Author(s):  
Costanza Pizzi ◽  
Chiara Moccia ◽  
Giovenale Moirano ◽  
Antonio d'Errico ◽  
Milena Maule ◽  
...  
Keyword(s):  
Risk Factors ◽  
Urban Environment ◽  
Birth Cohort ◽  
Environmental Risk ◽  
Early Life ◽  
Diversity Index ◽  
Hierarchical Cluster ◽  
Environmental Risk Factors ◽  
Birth Cohorts ◽  
Exposure Pattern

Abstract Background Early exposure to unhealthy lifestyles and environmental risk factors is known to affect health throughout the life-course. There is also evidence that the exposure patterns are influenced by the socioeconomic position (SEP). Methods We use the data of the Turin participants of the Italian NINFEA birth cohort (n∼2500) to study how family SEP drives the early life exposome. SEP at birth is measured through the EHII (Equivalized Household Income Indicator), while the exposome includes urban environment, diet and lifestyle exposures measured during infancy. We use standard regression models to evaluate the effect of EHII on each exposome variable accounting for multiple comparison and potential confounders (Drivers-Exposome Wide Association Study – DExWAS) and the hierarchical clustering on the principal components approach to identify groups with similar exposure pattern. Results The DExWAS show that low EHII is associated with lower consumption of fruit and vegetables, lower levels of NO2, building and facilities densities, traffic, walkability and connectivity index, higher land-use diversity index, and higher exposure to pets. The hierarchical cluster analysis identifies three groups, with subjects belonging to the cluster characterized by higher level of urban environment risk factors and a healthier diet having a higher mean EHII. Conclusions These SEP-early life exposome analyses will be replicated in several European birth cohorts participating in the H2020 ATHLETE and LifeCycle projects. Key messages In the Italian city of Turin children from low SEP family are exposed to higher levels of environmental risk factors and unhealthy lifestyles during infancy.

Exploring the risk factors for early‐life sugar consumption: a birth cohort study

2020 ◽  
Author(s):  
Carlos Alberto Feldens ◽  
Márcia Regina Vítolo ◽  
Renata Rocha Maciel ◽  
Paola Seffrin Baratto ◽  
Priscila Humbert Rodrigues ◽  
...  
Keyword(s):  
Risk Factors ◽  
Cohort Study ◽  
Birth Cohort ◽  
Early Life ◽  
Birth Cohort Study ◽  
Sugar Consumption

scholarly journals Distinctive lung function trajectories from age 10 to 26 years in men and women and associated early life risk factors – a birth cohort study

2019 ◽  
Vol 20 (1) ◽  
Author(s):  
Wilfried Karmaus ◽  
Nandini Mukherjee ◽  
Vimala Devi Janjanam ◽  
Su Chen ◽  
Hongmei Zhang ◽  
...  
Keyword(s):  
Risk Factors ◽  
Cohort Study ◽  
Lung Function ◽  
Birth Cohort ◽  
Early Life ◽  
Birth Cohort Study ◽  
Men And Women

Early life risk factors for adult asthma: A birth cohort study of subjects at risk

2001 ◽  
Vol 108 (5) ◽  
pp. 720-725 ◽  
Author(s):  
Helen L. Rhodes ◽  
Richard Sporik ◽  
Peter Thomas ◽  
Stephen T. Holgate ◽  
Jeremy J. Cogswell
Keyword(s):  
Risk Factors ◽  
At Risk ◽  
Cohort Study ◽  
Birth Cohort ◽  
Early Life ◽  
Birth Cohort Study ◽  
Adult Asthma

scholarly journals Early Life Risk Factors for Incident Atrial Fibrillation in the Helsinki Birth Cohort Study

2017 ◽  
Vol 6 (6) ◽  
Author(s):  
Linda S. B. Johnson ◽  
Minna Salonen ◽  
Eero Kajantie ◽  
David Conen ◽  
Jeff S. Healey ◽  
...  
Keyword(s):  
Risk Factors ◽  
Atrial Fibrillation ◽  
Cohort Study ◽  
Birth Cohort ◽  
Early Life ◽  
Birth Cohort Study

scholarly journals Early Life Risk Factors for Childhood Adiposity – a Comparison of Marginal Growth Models Using Hong Kong's ‘Children of 1997' Birth Cohort.

2015 ◽  
Vol 44 (suppl_1) ◽  
pp. i219-i219
Author(s):  
S. Lin ◽  
E. Corpeleijn ◽  
C. M. Schooling ◽  
E. van den Heuvel
Keyword(s):  
Risk Factors ◽  
Birth Cohort ◽  
Early Life ◽  
Growth Models ◽  
Childhood Adiposity

scholarly journals Early-life risk factors for breast cancer - prospective follow-up in the Northern Finland Birth Cohort 1966

2021 ◽  
pp. cebp.1442.2020
Author(s):  
Anniina Tastula ◽  
Arja Jukkola ◽  
Anni-Emilia Alakokkare ◽  
Tanja Nordström ◽  
Sanna Eteläinen ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Risk Factors ◽  
Birth Cohort ◽  
Early Life
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