Two of a Kind? Similarities and Differences between Runners and Walkers in Sociodemographic Characteristics, Sports Related Characteristics and Wearable Usage

Abstract

As the two prime examples of sport light, running and walking have become very popular sports activities in the past decades. There are references in the literature of similarities between both sports, however these parallels have never been studied. In addition, the current digitalisation of society can have important influences on the further diversification of profiles. Data of a large-scale population survey among runners and walkers (n = 4913) in Flanders (Belgium) were used to study their sociodemographic, sports related and attitudinal characteristics, and wearable usage. The results showed that walkers are more often female, older, lower educated, and less often use wearables. To predict wearable usage, sports-related and attitudinal characteristics are important among runners but not among walkers. Motivational variables to use wearables are important to predict wearable usage among both runners and walkers. Additionally, whether or not the runner or walker registers the heart rate is the most important predictor. The present study highlights similarities and differences between runners and walkers. By adding attitudinal characteristics and including walkers this article provides new insights to the literature, which can be used by policymakers and professionals in the field of sport, exercise and health, and technology developers to shape their services accordingly.

Garmin Fénix 7® Underestimates Performance at the Lactate Threshold in Comparison to Standardized Blood Lactate Field Test

“…In recent years, wearables have gained popularity because they provide data that can help improve performance or augment healthy habits. 6 Therefore, several studies have investigated the validity and reliability of different variables obtained from wearables, such as VO 2max or LT, and compared them to laboratory standards. 13 Similar to our findings, 11 In line with our results, they found that Garmin Fenix 7 ® underestimated the pace and HR at LT.…”

“…In 2022, Helsen et al reported that in a sample of 2146 active runners, as much as 84.8% used a smartwatch during weekly exercise. 6 …”

“…In 2022, Helsen et al reported that in a sample of 2146 active runners, as much as 84.8% used a smartwatch during weekly exercise. 6 The VO 2max estimate of smartwatches from the Garmin ® Fenix family (Garmin Deutschland GmbH, Garching) uses extrapolation of running speed and individual HR based on an algorithm developed by Firstbeat Technologies, Finland. 7 To determine the LT, the previously calculated VO 2max estimate, running speed acquired by GPS, and HR measured with a chest strap were combined.…”