The Block Walk Method (BWM) is a well-regarded approach for assessing physical activity (PA) on sidewalks and streets. However, it has traditionally been a labor-intensive process that required extensive training and had limitations in accuracy when observing large groups. Recent research has aimed to validate this method and explore the potential of using wearable video devices (WVDs) to improve its accuracy and efficiency.
The Importance of Accurate Physical Activity Assessment
Physical inactivity is a significant public health concern, contributing to chronic diseases such as obesity, cardiovascular disease, and type 2 diabetes. Accurate assessment of PA is crucial for developing effective interventions and policies. Traditional methods like self-report questionnaires are prone to recall bias and lack precision in geo-locating activities. In contrast, objective measures like accelerometers and pedometers offer improvements but still have limitations in providing contextual information.
The Block Walk Method: A Traditional Approach
The BWM involves trained observers walking along pre-defined routes, systematically recording individuals engaging in various types of PA. This method captures detailed information about PA and environmental conditions across diverse settings. However, it can be time-consuming and less accurate when observing large crowds.
Introducing Wearable Video Devices
The integration of WVDs into the BWM offers a promising solution to its limitations. These devices provide high-resolution video recordings that can be reviewed later for more accurate counts of individuals engaging in PA. The study conducted in Newark, DE demonstrated that WVDs could enhance the validity of BWM by reducing observer errors and allowing retrospective analysis.
Key Findings from the Research
- The traditional BWM provided accurate counts in low to medium walkability areas but was less reliable in high walkability areas with large crowds.
- The use of WVDs improved accuracy by providing objective records that could be reviewed by experts.
- The combination of BWM and WVDs holds potential for reducing resource requirements and enabling more comprehensive assessments.
Implications for Practitioners
For practitioners looking to improve their skills in assessing PA, incorporating WVD technology into traditional methods like BWM can offer significant advantages. It allows for more precise data collection, reduces observer bias, and provides opportunities for retrospective analysis. Practitioners are encouraged to explore these technologies further and consider their application in various settings.
Validation of the Block Walk Method for Assessing Physical Activity occurring on Sidewalks/Streets
