AI Article Synopsis
- Longitudinal cohort studies track changes in epigenetic patterns over time, helping to connect these changes to exposure and disease development.
- The approach offers unique opportunities to understand complex biological processes, but it also faces challenges, such as participant retention and data analysis.
- By addressing these challenges, researchers can gain valuable insights into how environmental factors influence health and disease progression.
Article Abstract
Longitudinal cohort studies are ideal for investigating how epigenetic patterns change over time and relate to changing exposure patterns and the development of disease. We highlight the challenges and opportunities in this approach.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3446311 | PMC |
| http://dx.doi.org/10.1186/gb-2012-13-6-246 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Proteins and pathways involved in inflammation are longitudinally associated with total body bone mineral density among primarily hispanic overweight/obese adolescents and young adults.
J Bone Miner Res
January 2025
Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States.
Bone mineral density (BMD), an important marker of bone health, is regulated by a complex interaction of proteins. Plasma proteomic analyses can contribute to identification of proteins associated with changes in BMD. This may be especially informative in stages of bone accrual and peak BMD achievement (i.
View Article and Find Full Text PDFIdentifying depression subtypes and investigating their consistency and transitions in a 1-year cohort analysis.
PLoS One
January 2025
King's College London-Institute of Psychiatry, Psychology & Neuroscience, London, United Kingdom.
Major depressive disorder (MDD) is defined by an array of symptoms that make it challenging to understand the condition at a population level. Subtyping offers a way to unpick this phenotypic diversity for improved disorder characterisation. We aimed to identify depression subtypes longitudinally using the Inventory of Depressive Symptomatology: Self-Report (IDS-SR).
View Article and Find Full Text PDFPsychological detachment from work predicts mental wellbeing of working-age adults: Findings from the 'Wellbeing of the Workforce' (WoW) prospective longitudinal cohort study.
PLoS One
January 2025
Institute of Mental Health, Nottingham, United Kingdom.
Background: There is an urgent need to better understand the factors that predict mental wellbeing in vocationally active adults during globally turbulent times.
Aim: To explore the relationship between psychological detachment from work (postulated as a key recovery activity from work) in the first national COVID-19 lockdown with health, wellbeing, and life satisfaction of working age-adults one year later, within the context of a global pandemic.
Methods: Wellbeing of the Workforce (WoW) was a prospective longitudinal cohort study, with two waves of data collection (Time 1, April-June 2020: T1 n = 337; Time 2, March-April 2021: T2 = 169) corresponding with the first and third national COVID-19 lockdowns in the UK.
Sleep Disturbance and Postconcussive Symptoms in Pediatric Mild Traumatic Brain Injury and Orthopedic Injury.
J Head Trauma Rehabil
September 2024
Author Affiliations: Department of Psychology, University of Calgary, Calgary, Alberta (Ms Luszawski and Dr Yeates); Alberta Children's Hospital Research Institute, Calgary, Alberta (Ms Luszawski and Dr Yeates); Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta (Ms Luszawski and Dr Yeates); Department of Pediatrics, Case Western Reserve University, Cleveland, Ohio (Ms Minich, Dr Bacevice, and Dr Bangert); Rainbow Babies and Children's Hospital, University Hospitals Cleveland Medical Center, Cleveland, Ohio (Ms Minich and Dr Bacevice); Department of Psychology and Neuroscience, Brigham Young University, Provo, Utah and Departments of Neurology and Psychiatry, University of Utah, Salt Lake City, Utah (Dr Bigler); Abigail Wexner Research Institute, Nationwide Children's Hospital, Columbus, Ohio (Dr Taylor); Department of Pediatrics, The Ohio State University, Columbus, Ohio (Drs Taylor, Cohen, and Zumberge); Emergency Medicine, Nationwide Children's Hospital, Columbus, Ohio (Dr Cohen); Department of Radiology, University Hospitals of Cleveland, Cleveland, Ohio (Dr Bangert); Radiology, Nationwide Children's Hospital, Columbus, Ohio (Dr Zumberge); Educational and Counselling Psychology, University of British Columbia, Vancouver, British Columbia (Dr Tomfohr-Madsen); Neurosciences Program, Alberta Children's Hospital, Calgary, Alberta (Dr Brooks); and Departments of Pediatrics, Clinical Neurosciences, and Psychology, University of Calgary, Calgary, Alberta (Dr Brooks).
Objective: Sleep disturbance (SD) is common after pediatric mild traumatic brain injury (mTBI) and may predict increased postconcussive symptoms (PCS) and prolonged recovery. Our objective was to investigate the relation of SD with PCS in children with mTBI and those with orthopedic injury (OI).
Setting: Emergency departments (EDs) at 2 children's hospitals in the Midwestern United States.
Cohabitation and Mortality Across the Life Course: A Longitudinal Cohort Study with Swedish Register-Based Sibling Comparisons.
Eur J Popul
January 2025
Stockholm University Demography Unit, Department of Sociology, Stockholm University, Stockholm, Sweden.
Research has shown that married individuals live longer lives than unmarried women and men. A smaller number of studies have included non-marital cohabitation and have found that their mortality falls between the married and other unmarried groups. There are indications that the cohabiting population is diverse in terms of mortality risk, yet very little is known about how the association is related to age and stages of the life course.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!