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Related Concept Videos

Longitudinal Studies01:26

Longitudinal Studies

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...
Longitudinal Research02:20

Longitudinal Research

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...
Observational Studies01:11

Observational Studies

Observational studies are a type of analytical study where researchers observe events without any interventions. In other words, the researcher does not influence the response variable or the experiment's outcome.
There are three types of observational studies – Prospective, retrospective, and cross-sectional.
Prospective Study
Prospective studies, also known as longitudinal or cohort studies, are carried out by collecting future data from groups sharing similar characteristics. One example of...
Cross-Sectional Research01:50

Cross-Sectional Research

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...
Cognitive Development During Adolescence01:18

Cognitive Development During Adolescence

During adolescence, individuals experience significant cognitive development that enhances their understanding of others' emotions and thoughts, known as cognitive empathy. This period is marked by an increased ability to adapt to others' perspectives and a more nuanced understanding of others' mental states, a skill that is foundational for social problem-solving and conflict avoidance. The development of cognitive empathy relies heavily on the theory of mind — the recognition that people have...
Life Histories01:29

Life Histories

Overview

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Studying Age-dependent Genomic Instability using the S. cerevisiae Chronological Lifespan Model
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Published on: September 29, 2011

Cohort profile: the Young Lives study.

Inka Barnett1, Proochista Ariana, Stavros Petrou

  • 1Department of International Development, University of Oxford, Oxford, UK. inka.barnett@qeh.ox.ac.uk

International Journal of Epidemiology
|May 24, 2012
PubMed
Summary

Young Lives is a 15-year study tracking child poverty in Ethiopia, India, Peru, and Vietnam. It examines nutrition, health, education, and socioeconomic factors affecting children

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Published on: July 27, 2018

Area of Science:

  • Global Health
  • Developmental Psychology
  • Socioeconomics

Background:

  • Childhood poverty presents complex challenges in low-income countries.
  • Longitudinal studies are crucial for understanding the long-term impacts of poverty on child development.
  • The Young Lives study addresses the need for in-depth, multi-country data on child well-being.

Purpose of the Study:

  • To investigate the evolving nature of childhood poverty over 15 years.
  • To analyze the impact of poverty on various aspects of child development and well-being.
  • To provide comprehensive data for policy and interventions aimed at improving children's lives.

Main Methods:

  • International longitudinal study design across Ethiopia, India, Peru, and Vietnam.
  • Quantitative surveys with large cohorts of children (younger and older) and their caregivers.
  • Longitudinal qualitative research with a subgroup of children to enrich quantitative findings.
  • Inclusion of community-level data to contextualize household-level information.

Main Results:

  • Data collected on nutrition, health, cognitive and physical development, education, and socioeconomic status.
  • Analysis of changes in child well-being and poverty indicators over time.
  • Insights into the interplay between household, community, and individual factors.

Conclusions:

  • Longitudinal data reveals critical insights into the dynamics of childhood poverty.
  • Findings inform targeted interventions to mitigate poverty's effects on children.
  • The study provides a valuable, publicly archived dataset for future research.