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This chapter will review the evaluations of the newly developed elderly care system in Japan, Long Term Care Insurance, and its social implications with the focus on demographic change.

By reviewing literature, this chapter will examine how demographic and social change over the years has impacted the features of caregivers. Then, how this policy change has demedicalized the aging process will be described. Finally, this chapter will evaluate whether this insurance has shifted the responsibility for elderly care from the family to society as the governmental slogan advertised.

The new insurance has offered more options in different services and established a new norm of self-reliance and determination for one’s own aging however it is doubtful if this new insurance has shifted the responsibility from family to society.

Applying the implications of policy reforms for elderly care in Japan to the United States, one can assume the traditional U.S. norms and values can facilitate effective utilization of the elderly care system. However, since each nation faces different problems with its specific condition, continuous studies and observations on the relationship between elderly care, immigration issues, and demographic changes will be necessary in order to offer more specific suggestions for each aging nation.

As Japan’s new insurance scheme for the elderly has been studied by many aging nations, recommendations for more comprehensive plans are suggested including building a community-based support system into the Long Term Care Insurance scheme to prevent social isolation and respond to emergency situations for the elderly.

The purpose of this chapter is to advance the medical sociology literature on the relationship between social cohesion and SRHS on an individual level. There is little information about how neighborhood social characteristics affect seniors’ SRHS. Guided by tenets of the collective efficacy theory, this chapter hypothesized that older individuals who perceived that their neighborhood has high levels of social cohesion around elderly issues will have better SRHS. A secondary hypothesis investigates whether the relationship was attenuated once their neighbors’ actual, self-reported attitudes toward seniors were taken into account.

Data come from a telephone survey of Indianapolis, Indiana residents, court data, and census information.

Logistic regression analyses indicated that both social cohesion and low income are statistically significant predictors of poor self-rated health status. Although both are statistically significant, the protective association between cohesion and poor SRHS (−0.69 log odds) is of similar magnitude to the risky association between income and poor health (−0.64 log odds).

Consistent with the classic work of Durkheim who found that individuals who were more socially integrated with society had lower rates of suicide, our study found a significant association between social cohesion and SRHS.

Future research is needed to target other health status outcomes in other geographical locations. Even though the body of research exploring the predictors of SRHS among older individuals is quite robust, this chapter adds to a more recent growing body of research, which has articulated the importance of the social environment in which an individual lives, especially community-dwelling older adults, is associated with their health status.

This introduction by the volume editors discusses the multiple ways in which visibility and erasure of gender are manifested in social life. Following that discussion, the 12 chapters included in this volume are grouped in ways that demonstrate the relationships among them and are briefly summarized.

One of the most contentious issues concerning benefit–cost analyses of environmental and other regulatory programs has been the valuation of reductions in mortality risks. The conceptual basis for most valuation exercises has been the value of a statistical life (VSL). However, despite decades of both theoretical and empirical research on the meaning and measurement of the VSL concept, there is no consensus concerning the validity of the results it produces in actual applications. In this paper, we review the development and application of the VSL approach and then propose what we believe to be a better way to value changes in mortality hazard.

Research that tracks low-income populations across educational transitions contains threats to validity that can compromise evidence-based educational policy and practice. The Big Picture Longitudinal Study is a national, multiyear study that follows low-income urban youth who were accepted into college as high school seniors. Triangulating the results of multiple longitudinal data sources showed that reported college aspirations and enrollment intentions were inconsistently and differently reported by students and teachers in the final semester of high school. Relying on a particular data source and time can result in mistakenly equating college aspirations and enrollment behaviors, these findings suggest. In particular, secondary school educators’ inflated assumptions about their students’ college aspirations can obscure the need for supporting multiple pathways to college and work for low-income, first-generation high school seniors.