Positive child well-being: an index based on data for individual children.

Data from the 2007 National Survey of Children's Health are used to develop an index of positive child well-being that has several innovative and important characteristics. It distinguishes child well-being from contexts of child development; it is built with rich micro-data (rather than population-level macro-data) to create unique measures of well-being for individual children; and it focuses on positive, rather than negative, aspects of development. These data can be aggregated to provide a perspective on the proportions of children in the population who are doing well on all, some, or no developmental domains. Based on child development theory and research, the index is constructed within a framework of four conceptually distinct developmental domains, each of which is comprised of three sub-domains. The index distinguishes among children in predicted directions, by poverty level and parental education. White children tend to do better than Hispanic or black children in all domains, though neither minority subgroup is consistently better or worse off than the other subgroup. Girls score slightly higher than boys on the index. About three in four children score positively on three or four domains. The index provides a composite, multidimensional view of positive child well-being that can be useful to researchers and policy analysts, and which addresses some weaknesses of other similar indices.

Relationships of a brief measure of youth assets to health-promoting and risk behaviors.

PURPOSE: To test the utility of a brief measure of developmental assets for predicting risk and health-promoting behaviors. METHODS: Six "assets" questions were added to an existing school-based survey of health-related behaviors. "Asset" questions dealt with students' grades in school, their communication with parents about school, students' perceptions of their role in school decision-making, students' participation in after-school activities and volunteering, and students' perceptions that they "matter" in their community. Participants were 30,916 Vermont students in grades 8-12. The sample included approximately equal numbers of girls and boys. It was 92% white. Fifty-nine percent of students' mothers had completed at least some postsecondary education (according to student report). Data were analyzed by Chi-square techniques and logistic regression. RESULTS: Number of assets (0-6) was negatively related to students' engagement in each of seven risk behaviors, and positively related to three health-promoting behaviors. The effects of number of assets were in most cases independent of demographic variables. Among the six assets, academic success (grades in school) contributed the greatest effect for most of the outcome measures; however, each of the assets contributed significant independent effects to multiple risk- and health-behaviors. CONCLUSIONS: Students' assets, even if relatively few, may make important contributions to wellness, independent of other well-established demographic factors.