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DAPA Measurement Toolkit

 

Introduction

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  • Subjective methods use responses from a participant to estimate aspects of diet, physical activity and anthropometry
  • Information about diet, physical activity and anthropometry derived from the participant’s senses, experiences and perceptions, is stored in the brain
  • The purpose of a subjective method is to extract this data as accurately as possible
  • Extracting pertinent details via subjective methods is a very difficult task; at present there is no subjective method suitable for all purposes and populations

Diet, physical activity and anthropometry have multiple complex dimensions and as a result many instruments have been designed for a variety of purposes. Subjective methods rely on the individual storing information about these dimensions in the first instance and then being able or willing to report these details accurately.

The responses derived from subjective methods can therefore be influenced by biases such as recall bias and social desirability bias. However, subjective methods generally have the following important advantages:

  • Affordability
  • Ease of use
  • Capturing qualitative dimensions of context and type
  • Flexible means of implementation (e.g. interview, electronic device, paper/pencil, online)
  • Suitability for large studies

It is possible to capture detailed data using subjective methods, but there is typically a trade-off between detail and participant burden.

Physical activity consists of multiple quantitative and qualitative dimensions; there is no method which can capture each of these simultaneously and with full detail. Consequently, understanding the error associated with subjective methods is difficult because there is a lack of a true field based criterion against which to compare.

Participants (or a proxy-reporter) report physical activity during a specified time period, which can range from as little as one day to a lifetime. Instruments vary greatly in terms of the scope and detail with which they record the different dimensions of physical activity (frequency, intensity, duration, posture, type, and domain/context).

The information provided by the respondent is used in conjunction with additional information, such as estimations of the energy costs of the activity , to generate physical activity target variables.

An example of the stages of inference in predicting a physical activity target variable through subjective measurement is shown in Figure P.2.1

Figure P.2.1 Example of stages of inference for a subjective method of physical activity assessment.

Subjective methods for physical activity assessment can be broadly grouped into the following categories:

References

  1. Corder K, Ekelund U, Steele RM, Wareham NJ, Brage S. Assessment of physical activity in youth. J Appl Physiol 2008;105(3):977-87.
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