Respiratory Morbidity Before and During the COVID-19 Pandemic from Birth to 18 Months in a Swedish Birth Cohort.

Background: Respiratory infections in early life is one identified risk factor for asthma. We hypothesized that infection preventive measures during the COVID-19 pandemic influenced the risk of respiratory morbidity and aeroallergen sensitization in early childhood.

Objective: To compare respiratory morbidity and aeroallergen sensitization in children born before and during the pandemic.

Exploring the Relationship of Dietary Intake With Inattention, Hyperactivity, and Impulsivity, Beyond ADHD.

Objectives: This study investigates the association between dietary intake and ADHD diagnosis and its dimensions in adolescents.

Methods: In the KOALA Birth Cohort Study, 810 adolescents aged 16 to 20 years provided information on ADHD diagnosis and completed a food frequency questionnaire. Dietary patterns were extracted using Principal Component Analysis.

Physical activity, sedentary behaviour, and childhood asthma: a European collaborative analysis.

Objectives: To investigate the associations of physical activity (PA) and sedentary behaviour in early childhood with asthma and reduced lung function in later childhood within a large collaborative study.

Design: Pooling of longitudinal data from collaborating birth cohorts using meta-analysis of separate cohort-specific estimates and analysis of individual participant data of all cohorts combined.

Setting: Children aged 0-18 years from 26 European birth cohorts.

Association of picky eating around age 4 with dietary intake and weight status in early adulthood: A 14-year follow-up based on the KOALA birth cohort study.

Introduction: A relatively common deviant type of eating behaviour among children is picky eating. Research on associations between picky eating and dietary patterns later in life is limited, and studies examining long-term effects on growth have yielded mixed results. The present study aimed to examine longitudinal associations of picky eating in early childhood with consumption of various foods, and weight status (body mass index, BMI) in young adulthood.

Capturing the dynamics of microbial interactions through individual-specific networks.

Longitudinal analysis of multivariate individual-specific microbiome profiles over time or across conditions remains dauntin. Most statistical tools and methods that are available to study microbiomes are based on cross-sectional data. Over the past few years, several attempts have been made to model the dynamics of bacterial species over time or across conditions.