Chronic disease risks and use of a smartphone application during a physical activity and dietary intervention in Australian truck drivers

Aust N Z J Public Health. 2016 Feb;40(1):91-3. doi: 10.1111/1753-6405.12501. Epub 2015 Dec 29.

Abstract

Objective: This study examined chronic disease risks and the use of a smartphone activity tracking application during an intervention in Australian truck drivers (April-October 2014).

Methods: Forty-four men (mean age=47.5 [SD 9.8] years) completed baseline health measures, and were subsequently offered access to a free wrist-worn activity tracker and smartphone application (Jawbone UP) to monitor step counts and dietary choices during a 20-week intervention. Chronic disease risks were evaluated against guidelines; weekly step count and dietary logs registered by drivers in the application were analysed to evaluate use of the Jawbone UP.

Results: Chronic disease risks were high (e.g. 97% high waist circumference [≥ 94 cm]). Eighteen drivers (41%) did not start the intervention; smartphone technical barriers were the main reason for drop out. Across 20-weeks, drivers who used the Jawbone UP logged step counts for an average of 6 [SD 1] days/week; mean step counts remained consistent across the intervention (weeks 1-4=8,743[SD 2,867] steps/day; weeks 17-20=8,994[SD 3,478] steps/day). The median number of dietary logs significantly decreased from start (17 [IQR 38] logs/weeks) to end of the intervention (0 [IQR 23] logs/week; p<0.01); the median proportion of healthy diet choices relative to total diet choices logged increased across the intervention (weeks 1-4=38[IQR 21]%; weeks 17-20=58[IQR 18]%).

Conclusions: Step counts were more successfully monitored than dietary choices in those drivers who used the Jawbone UP.

Implications: Smartphone technology facilitated active living and healthy dietary choices, but also prohibited intervention engagement in a number of these high-risk Australian truck drivers.

Keywords: chronic diseases; smartphones; truck drivers.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Aged
  • Australia / epidemiology
  • Automobile Driving
  • Chronic Disease / epidemiology
  • Chronic Disease / prevention & control*
  • Diet*
  • Exercise*
  • Health Behavior
  • Health Communication / methods*
  • Health Promotion / methods*
  • Humans
  • Male
  • Middle Aged
  • Motor Vehicles
  • Obesity / epidemiology
  • Obesity / prevention & control*
  • Smartphone*