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Review and Preview

Review and Preview

In statistics, several tools are used to interpret the data. Measures of central tendency represent the characteristics of the data, such as mean, median, and mode. Additionally, measures of variance like standard deviation and range are used to find the spread of data from the mean. Relative standing measures the distance between data locations. Commonly used measures of relative standings are percentile, z score, and quartiles.
Percentiles are a type of fractile that partition data into...

Review and Preview

Review and Preview

Data are individual items of information obtained from a population or sample. Data may be classified as qualitative (categorical), quantitative continuous, or quantitative discrete. Because it is not practical to measure the entire population in a study, researchers use samples to represent the population. A random sample is a representative group from the population chosen by using a method that gives each individual in the population an equal chance of being included in the sample. Random...

Random and Systematic Errors

Random and Systematic Errors

Scientists always try their best to record measurements with the utmost accuracy and precision. However, sometimes errors do occur. These errors can be random or systematic. Random errors are observed due to the inconsistency or fluctuation in the measurement process, or variations in the quantity itself that is being measured. Such errors fluctuate from being greater than or less than the true value in repeated measurements. Consider a scientist measuring the length of an earthworm using a...

Systematic Sampling Method

Systematic Sampling Method

Sampling is a technique to select a portion (or subset) of the larger population and study that portion (the sample) to gain information about the population. Data are the result of sampling from a population. The sampling method ensures that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest.
Systematic sampling is one of the simplest methods...

Aging

Aging

Aging is a complex biological phenomenon influenced by various processes that affect cellular and systemic functions. Several prominent theories attempt to explain its mechanisms, highlighting cellular limitations, oxidative damage, and hormonal changes as central factors in aging.
Cellular Clock Theory
The cellular clock theory posits that the human lifespan is closely tied to the finite capacity of cells to divide, a phenomenon governed by telomeres, which are protective caps at the ends of...

Propagation of Uncertainty from Systematic Error

Propagation of Uncertainty from Systematic Error

The atomic mass of an element varies due to the relative ratio of its isotopes. A sample's relative proportion of oxygen isotopes influences its average atomic mass. For instance, if we were to measure the atomic mass of oxygen from a sample, the mass would be a weighted average of the isotopic masses of oxygen in that sample. Since a single sample is not likely to perfectly reflect the true atomic mass of oxygen for all the molecules of oxygen on Earth, the mass we obtain from this...

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Related Experiment Video

Updated: Feb 8, 2026

Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data

Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data

Published on: July 27, 2018

E-health for active ageing; A systematic review.

Timothy David Robbins¹, Sarah N Lim Choi Keung², Theodoros N Arvanitis²

¹Institute of Digital Healthcare, WMG, University of Warwick, Coventry, CV4 7AL, United Kingdom; University Hospitals Coventry & Warwickshire NHS Trust, Clifford Bridge Road, Coventry, CV2 2DX, United Kingdom.

|June 17, 2018

Summary

This summary is machine-generated.

Digital health strategies like telemedicine and e-health support active ageing. Research shows broad international efforts but lacks depth and consensus on effective interventions, highlighting the need for integrated technical and clinical research.

Keywords:

Active ageing Digital health E-Health Healthy ageing Review

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Area of Science:

Gerontology and Public Health
Digital Health and Health Informatics

Background:

Increasing life expectancy presents challenges for successful active ageing.
Digital strategies, including telemedicine and e-health, offer scalable, cost-effective solutions for active ageing.

Purpose of the Study:

To systematically review the research literature on e-health and telemedicine interventions for active ageing.
To assess the scope, diversity, and depth of current research in this field.

Main Methods:

Systematic review conducted according to PRISMA standards.
Searched Cochrane, EMBASE, and CINAHL databases.
Independent data extraction and semi-quantitative analysis by two authors.

Main Results:

Considerable international breadth in digital active ageing research with diverse interventions and technologies.
Quantitative studies have small sample sizes and limited statistical testing.
Significant variation in outcome measures and little consensus on effective intervention strategies.

Conclusions:

Current research on digital active ageing interventions is broad but lacks depth and consensus.
Integrating technical and clinical research methodologies is crucial for informed decision-making.
Further research is needed to establish effective strategies and standardize outcome measures.