The Independent and Cumulative Effect of Early Life Risk Factors on Child Growth: A Preliminary Report

2016 ◽  
Vol 12 (3) ◽  
pp. 193-201 ◽  
Author(s):  
Salma M.A. Musaad ◽  
Sharon M. Donovan ◽  
Barbara H. Fiese ◽  
2021 ◽  
Vol 104 (3) ◽  
pp. 003685042110294
Author(s):  
Emile Andari ◽  
Paola Atallah ◽  
Sami Azar ◽  
Akram Echtay ◽  
Selim Jambart ◽  
...  

Given that the complications of type 2 diabetes can start at an early stage, early detection and appropriate management of prediabetes are essential. We aimed to develop an expert opinion on prediabetes in Lebanon to pave the way for national guidelines tailored for the Lebanese population in the near future. A panel of seven diabetes experts conducted a thorough literature review and discussed their opinions and experiences before coming up with a set of preliminary recommendations for the detection and management of prediabetes in Lebanon. Lebanese physicians employ multiple tests for the diagnosis of prediabetes and no national cut-off values exist. The panel agreed that prediabetes screening should be focused on patients exceeding 45 years of age with otherwise no risk factors and on adults with risk factors. The panel reached that fasting plasma glucose (FPG) and HbA1c should be used for prediabetes diagnosis in Lebanon. FPG values of 100–125 mg/dL or HbA1c values of 5.7%–6.4% were agreed upon as indicative of prediabetes. For the management of prediabetes, a three-step approach constituting lifestyle modifications, pharmacological treatment and bariatric surgery is recommended. There should be more focus on research on prediabetes in Lebanon. This preliminary report will be further discussed with the Lebanese Society of Endocrinology, Diabetes and Lipids in 2021 in order to come up with the first Lebanese national guidelines for the detection and management of prediabetes in Lebanon.


PEDIATRICS ◽  
2010 ◽  
Vol 125 (4) ◽  
pp. 686-695 ◽  
Author(s):  
E. M. Taveras ◽  
M. W. Gillman ◽  
K. Kleinman ◽  
J. W. Rich-Edwards ◽  
S. L. Rifas-Shiman

2013 ◽  
Vol 102 (10) ◽  
pp. 941-946 ◽  
Author(s):  
Ling-Jun Li ◽  
Yung-Seng Lee ◽  
Tien-Yin Wong ◽  
Carol Yim-Lui Cheung

2004 ◽  
Vol 79 (9) ◽  
pp. 1124-1131 ◽  
Author(s):  
Jennifer L. St. Sauver ◽  
William J. Barbaresi ◽  
Slavica K. Katusic ◽  
Robert C. Colligan ◽  
Amy L. Weaver ◽  
...  

2012 ◽  
Vol 30 ◽  
pp. e15
Author(s):  
Wendy E. Hoy ◽  
Gurmeet Singh ◽  
Andrew White ◽  
John D. Mathews ◽  
Cheryl E. Swanson ◽  
...  

2020 ◽  
Vol 50 (3) ◽  
pp. 315-324 ◽  
Author(s):  
Matea Deliu ◽  
Sara Fontanella ◽  
Sadia Haider ◽  
Matthew Sperrin ◽  
Nophar Geifman ◽  
...  

Author(s):  
Yaqoot Fatima ◽  
Alice Cairns ◽  
Isabelle Skinner ◽  
Suhail A.R. Doi ◽  
Abdullah Al Mamun

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.


2021 ◽  
Vol 50 (Supplement_1) ◽  
Author(s):  
Costanza Pizzi ◽  
Chiara Moccia ◽  
Giovenale Moirano ◽  
Antonio d'Errico ◽  
Milena Maule ◽  
...  

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.


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