Zuccolo Group
In the Zuccolo group, epidemiologists, statisticians and data scientists analyse highly-dimensional complex data to improve our understanding of maternal and child health, with a particular focus on intergenerational effects. We develop new data pipelines and phenotype captures, while applying cutting edge methods for robust inference to inform knowledge translation. We describe health and health behaviours trends and trajectories emerging in contemporary populations, study their determinants, identify predictors of vulnerability and risk, and investigate how families and particularly parent-offspring interactions, shape individuals’ health and wellbeing. The resulting evidence will help to prioritise and inform the design of family-level or parent-focussed interventions to support maternal, child, and adolescent health.
FUNDING
MSCA Postdoctoral Fellowship – Albert Navarro Gallinad
ALUMNI
- Molly Van der Heiden: Bristol Medical School student intern
- Elham Bahari Kheirjoui: Università degli Studi di Milano MSc student intern
Group members
-
Luisa Zuccolo
Research Group Leader -
Maeregu Woldeyes Arisido
Postdoc -
Alice Sofia Calvello
Undergraduate Intern -
Sandra Mickwitz
Undergraduate Intern -
Albert Navarro Gallinad
Health Data Scientist -
Valeria Nazzari
PhD Student -
Linda Repetto
Genetic Epidemiologist
Publications
-
10/2022 - Addiction
Prenatal smoking, alcohol and caffeine exposure and offspring externalizing disorders: a systematic review and meta-analysis
Background and aims Several studies have indicated an association between maternal prenatal substance use and offspring externalizing disorders; however, it is uncertain whether this relationship is causal. We conducted a systematic review to determine: (1) if the literature supports a causal role of maternal prenatal substance use on offspring externalizing disorders diagnosis and (2) whether […]
-
08/2022 - Cureus
The Frequency of Infant-Feeding Presentations at English Emergency Departments During the SARS-CoV-2 Pandemic: A Nation-Wide Electronic Health Records Study
Objectives: To examine the frequency and distribution of infant feeding-related presentations at emergency departments (EDs) before and during the SARS-CoV-2 pandemic. Setting: Attendances at 48 major EDs in England in two 50-week periods before and during the COVID-19 pandemic: period 1, April 2, 2019 to March 10, 2020 and period 2, April 1, 2020 to March […]
-
06/2022 - The Lancet Digital Health
COVID-19 trajectories among 57 million adults in England: a cohort study using electronic health records
Background Updatable estimates of COVID-19 onset, progression, and trajectories underpin pandemic mitigation efforts. To identify and characterise disease trajectories, we aimed to define and validate ten COVID-19 phenotypes from nationwide linked electronic health records (EHR) using an extensible framework. Methods In this cohort study, we used eight linked National Health Service (NHS) datasets for people in England alive […]
-
05/2022 - Addiction
Prenatal smoking, alcohol and caffeine exposure and maternal-reported attention deficit hyperactivity disorder symptoms in childhood: triangulation of evidence using negative control and polygenic risk score analyses
Background and aims Studies have indicated that maternal prenatal substance use may be associated with offspring attention deficit hyperactivity disorder (ADHD) via intrauterine effects. We measured associations between prenatal smoking, alcohol and caffeine consumption with childhood ADHD symptoms accounting for shared familial factors. Design First, we used a negative control design comparing maternal and paternal […]
Previous page