Search results

Women who begin childbearing as teenagers attain lower levels of education than women who delay childbearing until age 20 and later. Little is known about post-pregnancy factors that predict educational attainment among teen mothers. The current study examined whether teen mothers' environment and experiences 2 years after their first birth contribute to their educational outcomes by age 30, net of selection factors associated with teenage childbearing. Data were from two cohorts, the National Longitudinal Surveys of Youth 1979 ( N = 241) and 1997 ( N = 378). Multinomial logistic regression modeling was used to assess associations of post-pregnancy factors with teen mothers' educational attainment. Having child care was associated with increased odds of attaining a high school diploma and of attending college in both cohorts. Providing regular and subsidized child care for teen mothers is an opportunity to support teen mothers in achieving higher levels of educational attainment.

Teenage mothers are known to be at an elevated risk for poor socioeconomic outcomes in adulthood. However, little is known about the socioeconomic outcomes of mothers who bear multiple children during the teenage years (repeat teenage mothers) compared to one-time teenage mothers. This study examines socioeconomic outcomes in the mid- to late-20s of repeat teenage mothers compared to one-time teenage mothers in a national U.S. sample. Repeat teenage mothers were less likely to graduate high school and more likely to receive public assistance and experience material hardship than one-time teenage mothers in their mid- to late-20s. Lower educational attainment, plus the responsibility of caring for multiple children as a young mother, may make it difficult for repeat teenage mothers to secure economic stability. Additional supports may be necessary to improve long-term socioeconomic outcomes of repeat teenage mothers.

Adolescent sleep deprivation is a pressing public health issue in the United States as well as other countries. The contexts of adolescents' lives are changing rapidly, but little is known about the factors that adolescents themselves believe affect their sleep. This study uses a social-ecological framework to investigate multiple levels of perceived influence on sleep patterns of urban adolescents. Data were drawn from interviews and surveys conducted in three California public high schools. Most participants identified homework as their primary barrier to sleep, particularly those engaged in procrastinating, multitasking, or those with extracurricular demands. Results indicate that the home context has important implications for adolescent sleep, including noise, household rules, and perceived parent values. These findings identify important areas for future research and intervention, particularly regarding the roles of parents.

The last decades of neuroscience research have produced immense progress in the methods available to understand brain structure and function. Social, cognitive, clinical, affective, economic, communication, and developmental neurosciences have begun to map the relationships between neuro-psychological processes and behavioral outcomes, yielding a new understanding of human behavior and promising interventions. However, a limitation of this fast moving research is that most findings are based on small samples of convenience. Furthermore, our understanding of individual differences may be distorted by unrepresentative samples, undermining findings regarding brain–behavior mechanisms. These limitations are issues that social demographers, epidemiologists, and other population scientists have tackled, with solutions that can be applied to neuroscience. By contrast, nearly all social science disciplines, including social demography, sociology, political science, economics, communication science, and psychology, make assumptions about processes that involve the brain, but have incorporated neural measures to differing, and often limited, degrees; many still treat the brain as a black box. In this article, we describe and promote a perspective—population neuroscience—that leverages interdisciplinary expertise to (i) emphasize the importance of sampling to more clearly define the relevant populations and sampling strategies needed when using neuroscience methods to address such questions; and (ii) deepen understanding of mechanisms within population science by providing insight regarding underlying neural mechanisms. Doing so will increase our confidence in the generalizability of the findings. We provide examples to illustrate the population neuroscience approach for specific types of research questions and discuss the potential for theoretical and applied advances from this approach across areas.