CONCLUSIONS Utilizing a consumer-based wearable activity tracker as either the primary component of an intervention or as part of a broader physical activity intervention has the potential to increase physical activity participation .
BACKGROUND The range of benefits associated with regular physical activity participation is irrefutable .
Despite the well-known benefits , physical inactivity remains one of the major contributing factors to ill-health throughout industrialized countries .
Traditional lifestyle interventions such as group education or telephone counseling are effective at increasing physical activity participation ; however , physical activity levels tend to decline over time .
Consumer-based wearable activity trackers that allow users to objective ly monitor activity levels are now widely available and may offer an alternative method for assisting individuals to remain physically active .
OBJECTIVE This review aim ed to determine the effects of interventions utilizing consumer-based wearable activity trackers on physical activity participation and sedentary behavior when compared with interventions that do not utilize activity tracker feedback .
Feasibility and preliminary efficacy of the ‘HEYMAN’ healthy lifestyle program for young men: a pilot randomised controlled trial
Background In young men , unhealthy lifestyle behaviours can be detrimental to their physical and /or mental health and set them on a negative health trajectory into adulthood . Despite this , there is a lack of evidence to guide development of effective health behaviour change interventions for young men . This study assessed the feasibility and preliminary efficacy of the ‘ HEYMAN ’ ( Harnessing Ehealth to enhance Young men ’s Mental health , Activity and Nutrition ) healthy lifestyle program for young men . Methods A pilot RCT with 50 young men aged 18–25 years r and omised to the HEYMAN intervention ( n = 26 ) or waitlist control ( n = 24 ) .  HEYMAN was a 3-month intervention , targeted for young men to improve eating habits , activity levels and well-being . Intervention development was informed by a participatory research model ( PRECEDE-PROCEED ) . Intervention components included eHealth support ( website , wearable device , Facebook support group ) , face-to-face sessions ( group and individual ) , a personalised food and nutrient report , home-based resistance training equipment and a portion control tool . Outcomes included : feasibility of research procedures ( recruitment , r and omisation , data collection and retention ) and of intervention components . Generalized linear mixed models estimated the treatment effect at 3-months for the primary outcomes : pedometer steps/day , diet quality , well-being and several secondary outcomes . Results A 7-week recruitment period was required to enrol 50 young men .  A retention rate of 94 % was achieved at 3-months post-intervention . Retained intervention participants ( n = 24 ) demonstrated reasonable usage levels for most program components and also reported reasonable levels of program component acceptability for attractiveness , comprehension , usability , support , satisfaction and ability to persuade , with scores ranging from 3.0 to 4.6 ( maximum 5 ) . No significant intervention effects were observed for the primary outcomes of steps/day ( 1012.7 , 95 % CI = −506.2 , 2531.6 , p = 0.191 , d = 0.36 ) , diet quality score ( 3.6 , 95 % CI = −0.4 , 7.6 , p = 0.081 , d = 0.48 ) or total well-being score ( 0.4 , 95 % CI = −1.6 , 2.5 , p = 0.683 , d = 0.11 ) . Significant intervention effects were found for daily vegetable servings , energy-dense , nutrient-poor foods , MVPA , weight , BMI , fat mass , waist circumference and cholesterol ( all p < 0.05 ) . Conclusions The HEYMAN program demonstrated feasibility in assisting young men to make some positive lifestyle changes . This provides support for the conduct of a larger , fully-powered RCT , but with minor amendments to research procedures and intervention components required . Trial registration Australian New Zeal and Clinical Trials Registry ACTRN12616000350426
CONCLUSIONS Utilizing a consumer-based wearable activity tracker as either the primary component of an intervention or as part of a broader physical activity intervention has the potential to increase physical activity participation .
BACKGROUND The range of benefits associated with regular physical activity participation is irrefutable .
Despite the well-known benefits , physical inactivity remains one of the major contributing factors to ill-health throughout industrialized countries .
Traditional lifestyle interventions such as group education or telephone counseling are effective at increasing physical activity participation ; however , physical activity levels tend to decline over time .
Consumer-based wearable activity trackers that allow users to objective ly monitor activity levels are now widely available and may offer an alternative method for assisting individuals to remain physically active .
OBJECTIVE This review aim ed to determine the effects of interventions utilizing consumer-based wearable activity trackers on physical activity participation and sedentary behavior when compared with interventions that do not utilize activity tracker feedback .