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Related Concept Videos

Longitudinal Studies01:26

Longitudinal Studies

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Longitudinal studies are also widely used in other medical and social science fields. For instance, in cardiovascular research, they can monitor patients' health over decades to identify risk factors for heart disease, such as high cholesterol or smoking, and evaluate the long-term effectiveness of preventive measures. Similarly, in mental health studies, researchers might follow individuals from adolescence into adulthood to understand the development and progression of conditions like...
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Study Designs in Epidemiology01:20

Study Designs in Epidemiology

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Epidemiological study designs are fundamental tools for investigating the distribution, determinants, and control of health conditions in populations. They help researchers understand the relationships between exposures and outcomes, and they broadly fall into two categories: "observational" and "experimental" studies.
Observational studies are those where the researcher does not intervene but rather observes natural variations. They include cross-sectional, cohort, and...
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Longitudinal Research02:20

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Sometimes we want to see how people change over time, as in studies of human development and lifespan. When we test the same group of individuals repeatedly over an extended period of time, we are conducting longitudinal research. Longitudinal research is a research design in which data-gathering is administered repeatedly over an extended period of time. For example, we may survey a group of individuals about their dietary habits at age 20, retest them a decade later at age 30, and then again...
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Bias in Epidemiological Studies

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Biases can arise at various stages of research, from study design and data collection to analysis and interpretation. Recognizing and addressing these biases is essential to ensure the validity and reliability of epidemiological findings.Broadly speaking, biases in epidemiology fall into three main categories: selection bias, information bias, and confounding. A more detailed description of possible biases is:  
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Cross-Sectional Research01:50

Cross-Sectional Research

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In cross-sectional research, a researcher compares multiple segments of the population at the same time. If they were interested in people's dietary habits, the researcher might directly compare different groups of people by age. Instead of following a group of people for 20 years to see how their dietary habits changed from decade to decade, the researcher would study a group of 20-year-old individuals and compare them to a group of 30-year-old individuals and a group of 40-year-old...
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Study Design in Statistics

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A study design is a set of techniques that allow a researcher to collect and analyze data from different variables defined for a specific research problem. Statistics is commonly for effective study design and more robust experiments,
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Updated: Dec 28, 2025

Abbiategrasso Brain Bank Protocol for Collecting, Processing and Characterizing Aging Brains
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NASCITA Italian birth cohort study: a study protocol.

Claudia Pansieri1, Antonio Clavenna1, Chiara Pandolfini2

  • 1Laboratory for Mother and Child Health, Department of Public Health, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milan, Italy.

BMC Pediatrics
|February 21, 2020
PubMed
Summary

The NASCITA study tracks over 5000 Italian newborns to understand early life influences on child development and health. This research identifies key factors for effective prevention and intervention strategies in early childhood.

Keywords:
ChildClinical trial protocol [publication type]Cohort studiesHealthInfantInfant, newbornPublic health

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Area of Science:

  • Pediatrics
  • Developmental Psychology
  • Public Health

Background:

  • Healthy child development relies on nurturing care encompassing health, nutrition, safety, and early learning.
  • Early life stages are critical for long-term health and well-being.
  • Identifying risk and prognostic factors in early life is crucial for developing effective interventions.

Purpose of the Study:

  • To evaluate physical, cognitive, and psychological development in Italian children up to six years old.
  • To assess health status and healthcare resource utilization in early childhood.
  • To identify factors associated with child development and health outcomes.

Main Methods:

  • Prospective, population-based birth cohort study (NASCITA) in Italy.
  • Recruitment of over 5000 newborns and their parents starting in 2019.
  • Data collection via web-based records from pediatricians during routine well-child visits up to age six.

Main Results:

  • The study is ongoing, providing a dynamic dataset on child development.
  • Initial recruitment and data collection procedures are established.
  • The framework allows for future in-depth and experimental studies within the cohort.

Conclusions:

  • The NASCITA study offers a comprehensive framework for understanding early-life determinants of child health.
  • Findings will inform policy and decision-making for child health and development.
  • The study will broaden knowledge on factors influencing infant and child health trajectories.