Results A four-item automaticity subscale ( the ‘ Self-Report Behavioural Automaticity Index ’ ; ‘ SRBAI ’ ) was found to be reliable and sensitive to two hypothesised effects of habit on behaviour : a habit-behaviour correlation , and a moderating effect of habit on the intention-behaviour relationship .
Conclusion The SRBAI offers a parsimonious measure that adequately captures habitual behaviour patterns .
The SRBAI may be of particular utility in predicting future behaviour and in studies tracking habit formation or disruption
Background The twelve-item Self-Report Habit Index ( SRHI ) is the most popular measure of energy-balance related habits .
This measure characterises habit by automatic activation , behavioural frequency , and relevance to self-identity .
Previous empirical research suggests that the SRHI may be abbreviated with no losses in reliability or predictive utility .
Drawing on recent theorising suggesting that automaticity is the ‘ active ingredient ’ of habit-behaviour relationships , we tested whether an automaticity-specific SRHI subscale could capture habit-based behaviour patterns in self-report data .
Healthy habits: efficacy of simple advice on weight control based on a habit-formation model
Objective : To evaluate the efficacy of a simple weight loss intervention , based on principles of habit formation . Design : An exploratory trial in which overweight and obese adults were r and omized either to a habit-based intervention condition ( with two subgroups given weekly vs monthly weighing ; n=33 , n=36 ) or to a waiting-list control condition ( n=35 ) over 8 weeks . Intervention participants were followed up for 8 months . Participants : A total of 104 adults ( 35 men , 69 women ) with an average BMI of 30.9 kg m−2.Intervention : Intervention participants were given a leaflet containing advice on habit formation and simple recommendations for eating and activity behaviours promoting negative energy balance , together with a self-monitoring checklist . Main outcome measures : Weight change over 8 weeks in the intervention condition compared with the control condition and weight loss maintenance over 32 weeks in the intervention condition . Results : At 8 weeks , people in the intervention condition had lost significantly more weight ( mean=2.0 kg ) than those in the control condition ( 0.4 kg ) , with no difference between weekly and monthly weighing subgroups . At 32 weeks , those who remained in the study had lost an average of 3.8 kg , with 54 % losing 5 % or more of their body weight . An intention-to-treat analysis ( based on last-observation-carried-forward ) reduced this to 2.6 kg , with 26 % achieving a 5 % weight loss . Conclusions : This easily disseminable , low-cost , simple intervention produced clinical ly significant weight loss . In limited re source setting s it has potential as a tool for obesity management
Results A four-item automaticity subscale ( the ‘ Self-Report Behavioural Automaticity Index ’ ; ‘ SRBAI ’ ) was found to be reliable and sensitive to two hypothesised effects of habit on behaviour : a habit-behaviour correlation , and a moderating effect of habit on the intention-behaviour relationship .
Conclusion The SRBAI offers a parsimonious measure that adequately captures habitual behaviour patterns .
The SRBAI may be of particular utility in predicting future behaviour and in studies tracking habit formation or disruption
Background The twelve-item Self-Report Habit Index ( SRHI ) is the most popular measure of energy-balance related habits .
This measure characterises habit by automatic activation , behavioural frequency , and relevance to self-identity .
Previous empirical research suggests that the SRHI may be abbreviated with no losses in reliability or predictive utility .
Drawing on recent theorising suggesting that automaticity is the ‘ active ingredient ’ of habit-behaviour relationships , we tested whether an automaticity-specific SRHI subscale could capture habit-based behaviour patterns in self-report data .