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 .
A community intervention reduces BMI z-score in children: Shape Up Somerville first year results.
OBJECTIVE The objective was to test the hypothesis that a community-based environmental change intervention could prevent weight gain  in young children ( 7.6 + /- 1.0 years ) . RESEARCH METHODS AND PROCEDURES A non-r and omized controlled trial was conducted in three culturally diverse urban cities in Massachusetts . Somerville was the intervention community ; two socio-demographically-matched cities were  control communities . Children ( n = 1178 ) in grade s 1 to 3 attending public elementary schools participated in an intervention design ed to bring the energy equation into balance by increasing physical activity options and availability of healthful foods within the before- , during- , after-school , home , and community environments . Many groups and individuals within the community ( including children , parents , teachers , school food service providers , city departments , policy makers , healthcare providers , before- and after-school programs , restaurants , and the media ) were engaged in the intervention . The main outcome measure was change in BMI z-score . RESULTS At baseline , 44 % ( n = 385 ) , 36 % ( n = 561 ) , and 43 % ( n = 232 ) of children were above the 85th percentile for BMI z-score in the intervention and the two control communities , respectively . In the intervention community , BMI z-score decreased by -0.1005 ( p = 0.001 , 95 % confidence interval , -0.1151 to -0.0859 ) compared with children in the control communities after controlling for baseline covariates . DISCUSSION A community-based environmental change intervention decreased BMI z-score  in children at high risk for obesity . These results are significant given the obesigenic environmental backdrop against which the intervention occurred . This model demonstrates promise for communities throughout the country confronted with escalating childhood obesity rates
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 .