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Longitudinal Research02:20

Longitudinal Research

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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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Documentation in Long-Term and Home Healthcare Setting01:29

Documentation in Long-Term and Home Healthcare Setting

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Documentation in long-term care facilities and home healthcare settings is crucial for ensuring continuous, coordinated, and comprehensive care for patients. Each setting has its specific documentation processes and tools:
Long-Term Care Facilities
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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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Regression Toward the Mean01:52

Regression Toward the Mean

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Regression toward the mean (“RTM”) is a phenomenon in which extremely high or low values—for example, and individual’s blood pressure at a particular moment—appear closer to a group’s average upon remeasuring. Although this statistical peculiarity is the result of random error and chance, it has been problematic across various medical, scientific, financial and psychological applications. In particular, RTM, if not taken into account, can interfere when...
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Factors Affecting Illness01:18

Factors Affecting Illness

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When a person's physical, emotional, intellectual, social development or spiritual functioning is compromised, this deviation from a healthy normal state is called illness. Illness creates stress that in turn harms individuals. Irritation, anger, denial, hopelessness, and fear are behavioral and emotional changes an individual experiences in the phases of illness. A variety of factors influence a person's health and well-being.
For instance, risk factors are connected to illness,...
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Data Collection by Observations01:08

Data Collection by Observations

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Data collection refers to a systematic way of obtaining, observing, measuring, and analyzing accurate information. Observational studies are one of the most widely used methods of data collection. It involves collecting data by observing the behavior and physical characteristics of a sample without making any modifications to the sample.
An astronomer viewing the motion and brightness of stars in the sky and recording the data is an example of observational data collection. A botanist recording...
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Global health should be trans-disciplinary.

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Related Experiment Video

Updated: Feb 26, 2026

Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data
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Constancy and Change: Key Issues in Housing and Health Research, 1987-2017.

Roderick J Lawrence1,2,3

  • 1University of Geneva, 1211 Geneva 4, Switzerland. Roderick.lawrence@unige.ch.

International Journal of Environmental Research and Public Health
|July 15, 2017
PubMed
Summary
This summary is machine-generated.

Scientific research on housing and health has had limited impact due to flawed statistical methods, poor knowledge accumulation, and inadequate dissemination. A shift to transdisciplinary research is proposed for better integration of knowledge and policy.

Keywords:
applicability gapcoproductioninterdisciplinarypublic policiestransdisciplinary

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Area of Science:

  • Public Health
  • Urban Planning
  • Sociology

Background:

  • Limited scientific research impact on housing and health relations over 30 years.
  • Conventional statistical analyses fail to capture complex, non-linear relationships.
  • Lack of knowledge accumulation and validation due to study design and fragmented research.

Purpose of the Study:

  • To identify reasons for the low impact of scientific research on housing and health.
  • To propose a shift towards transdisciplinary research for improved policy and practice.
  • To advocate for systems thinking in integrating knowledge for local housing and health initiatives.

Main Methods:

  • Critique of current statistical approaches in housing and health research.
  • Analysis of knowledge accumulation, validation, and dissemination challenges.
  • Argument for transdisciplinary research programs and systems thinking frameworks.

Main Results:

  • Conventional methods inadequately address the systemic complexity of housing-health interactions.
  • Insufficient evidence transfer from academic research to public and private sector policy.
  • Lack of consolidated housing and health policy formulation over three decades.

Conclusions:

  • A radical shift to transdisciplinary research is necessary.
  • Innovative approaches integrating knowledge from researchers, policymakers, and practitioners are crucial.
  • Systems thinking offers a framework for effective knowledge integration in specific localities.