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 .
Use of food nutrition labels is associated with lower fat intake.
OBJECTIVE The Nutrition Labeling and Education Act of 1990 m and ated that st and ardized nutrition information appear on almost all packaged foods manufactured after May 1994 . This study describes the demographic and diet-related psychosocial correlates of nutrition label use , and examines the relationship between label use and diet . DESIGN /SUBJECTS Data are from a r and om-digit-dial telephone survey of 1,450 adult residents of Washington State . The question naire assessed nutrition label use , fat-related diet habits , fruit and vegetable consumption , diet-related psychosocial factors , health behavior , and demographic characteristics . STATISTICAL ANALYSES Analyses examined associations of demographic characteristics with nutrition label use ; diet-related psychosocial factors and health behavior with nutrition label use , controlled for demographic characteristics ; and nutrition label use with fat and fruit and vegetable intake , controlled for demographic characteristics and psychosocial factors . RESULTS  Nutrition label use was significantly higher among women , residents younger than 35 years , and residents with more than a high school education . When controlled for demographic characteristics , the strongest predictors of label use were believing in the importance of eating a low-fat diet , believing in an association between diet and cancer , and being in the maintenance stage of change for adopting a low-fat diet . Label use was significantly associated with lower fat intake and , after controlling for all demographic , psychosocial , and behavioral variables , explained 6 % of the variance in fat intake ( P < .001 ) . Label use was not associated with fruit and vegetable consumption . APPLICATIONS/ CONCLUSION Persons successfully limiting their fat intake use nutrition labels , suggesting that the new nutrition labels are helpful . Dietetics professionals can use the results of this study to emphasize to their clients the importance of reading nutrition labels in maintaining a low-fat diet
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 .