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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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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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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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Longitudinal associations between built environment characteristics and changes in active commuting.

Lin Yang1, Simon Griffin1,2, Kay-Tee Khaw2

  • 1MRC Epidemiology Unit & UKCRC Centre for Diet and Activity Research (CEDAR), University of Cambridge, School of Clinical Medicine, Box 285, Cambridge Biomedical Campus, Cambridge, CB2 0QQ, UK.

BMC Public Health
|July 12, 2017
PubMed
Summary
This summary is machine-generated.

Environmental factors like streetlights and proximity to work influence active commuting. Living further away reduces uptake, while better street lighting and denser employment areas support maintenance of walking or cycling for commuting.

Keywords:
Active commutingEPIC-NorfolkEnvironmentGISLongitudinalTravel

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Area of Science:

  • Public Health
  • Urban Planning
  • Epidemiology

Background:

  • Few studies have explored predictors of changes in commuting behaviors.
  • Understanding these predictors is crucial for promoting active transportation.

Purpose of the Study:

  • To investigate the associations between physical environmental characteristics and changes in active commuting.
  • To identify factors influencing the uptake and maintenance of walking or cycling for commuting.

Main Methods:

  • Utilized data from the European Prospective Investigation into Cancer (EPIC)-Norfolk cohort (2000-2007).
  • Assessed commuting patterns via self-report and environmental attributes using Geographical Information Systems.
  • Employed logistic regression to model associations, adjusting for demographic and health factors.

Main Results:

  • Living further from work was associated with lower likelihood of active commuting uptake.
  • Increased street lighting density and proximity to employment centers were linked to higher active commuting uptake and maintenance.
  • Participants living further from work (over 10 km) were less likely to maintain active commuting.

Conclusions:

  • Urban planning strategies, such as co-locating residential and employment centers, can encourage active commuting.
  • Redesigning urban areas to enhance pedestrian and cyclist safety is recommended.
  • Further research should evaluate the impact of built environment modifications on active commuting and physical activity.