Several specific population interventions that achieved a Class I or IIa recommendation with grade A or B evidence were identified , providing a set of specific evidence -based strategies that deserve close attention and prioritization for wider implementation .
Effective interventions included specific approaches in all 6 domains evaluated for improving diet , increasing activity , and reducing tobacco use .
The writing group also identified several specific interventions in each of these domains for which current evidence was less robust , as well as other inconsistencies and evidence gaps , informing the need for further rigorous and interdisciplinary approaches to evaluate population programs and policies .
This systematic review identified and grade d the evidence for a range of population -based strategies to promote lifestyle change .
BACKGROUND Poor lifestyle behaviors , including suboptimal diet , physical inactivity , and tobacco use , are leading causes of preventable diseases globally .
Although even modest population shifts in risk substantially alter health outcomes , the optimal population -level approaches to improve lifestyle are not well established .
Innovative newsletter interventions improve fruit and vegetable consumption in healthy adults.
OBJECTIVE To evaluate the effectiveness of computer-tailored newsletter interventions in improving the number and variety of fruits and vegetables eaten by adults . DESIGN The 4-group r and omized trial with pre- and postintervention measures consisted of a control group and 3 intervention groups receiving nontailored newsletters , computer-tailored newsletters , or tailored newsletters with tailored goal - setting information . Intervention groups received 1 newsletter each month for 4 months . SUBJECTS Baseline surveys were completed by 710 health maintenance organization clients . Postintervention surveys administered 6 months after baseline were completed by 573 participants ( 80.8 % ) . INTERVENTION All newsletters contained strategies for improving fruit and vegetable consumption . Tailored newsletters used computer algorithms to match a person 's baseline survey information with the most relevant newsletter messages for promoting dietary change . MAIN OUTCOME MEASURES Daily intake and weekly variety of fruits and vegetables were measured using a food frequency question naire . STATISTICAL ANALYSES PERFORMED Analysis of covariance and Tukey 's honestly significant difference test were used to assess differences in the number and variety of fruits and vegetables consumed among intervention groups . RESULTS For persons completing postintervention surveys ( n = 573 ) , all 3 newsletter groups had significantly higher daily intake and variety scores compared with the control group . Although there was a trend of improved intake and variety with each added newsletter element , there were no significant differences at follow-up among the newsletter groups . CONCLUSIONS Newsletters can be effective in improving the fruit and vegetable consumption of adults . In this study , a computer-tailoring system did not significantly enhance the effect of the nutrition newsletters on fruit and vegetable intake
Several specific population interventions that achieved a Class I or IIa recommendation with grade A or B evidence were identified , providing a set of specific evidence -based strategies that deserve close attention and prioritization for wider implementation .
Effective interventions included specific approaches in all 6 domains evaluated for improving diet , increasing activity , and reducing tobacco use .
The writing group also identified several specific interventions in each of these domains for which current evidence was less robust , as well as other inconsistencies and evidence gaps , informing the need for further rigorous and interdisciplinary approaches to evaluate population programs and policies .
This systematic review identified and grade d the evidence for a range of population -based strategies to promote lifestyle change .
BACKGROUND Poor lifestyle behaviors , including suboptimal diet , physical inactivity , and tobacco use , are leading causes of preventable diseases globally .
Although even modest population shifts in risk substantially alter health outcomes , the optimal population -level approaches to improve lifestyle are not well established .