The study enhances the method developed by Rossini in 2012, applying the analysis of social networks, which generates sociograms that indicate the interrelations among categories in order to analyze the landscape of the city. This matrix becomes a new method that, when applied, will indicate built differentials and potentials for the development of cultural tourism. It will also help society to understand the importance of the material patrimony as an opportunity to preserve and recover the memory and identity of the past so that future generations can experience them.
Improved longevity has provided extended grandparenthood for many older adults. While close grandparent-grandchild (GP-GC) relationships may significantly impact grandchildren’s lives, the extent to which grandparental values are shared by their grandchildren remains unclear. Less clear is whether GP-GC relationships influence grandchildren’s values or in what areas grandchildren share their values with grandparents. This study, based on responses from an Institutional Review Board-approved online survey (N = 470), examined the degree of similarity between grandparents and grandchildren in seven value domains (educational, moral, religious, political, social, leisure, and community). The results revealed that adult grandchildren saw their educational values as most similar to those of their grandparents; leisure and political values were least similar. Also revealed were gender effects; granddaughters more than grandsons perceived that their educational and social values were significantly closer to those of their grandparents. Grandmothers had more significant influences on their grandsons’ religious values than did grandfathers, while grandfathers had more significant influences on their grandsons’ leisure values than did grandmothers. An association between GP-GC closeness and value transmission was found. Interpretations and implications of the findings as they promote active grandparental involvement are discussed.
This paper addresses physical activity in an aging America using life-course theory, employing cross-sectional data (N=282,313) from ten years of the US National Health Interview Survey. The aim is to explore detailed relationships of physical activity behavior to life course and related background factors in a larger data set than available in longitudinal surveys. The practice aim is to suggest intervention strategies with populations with unique life-course and background characteristics. Life-course theory is a dynamic theory properly vetted with longitudinal data. However, use of multiple years of a large, nationally representative cross-sectional survey allows for separation of cohort, age, and historical factors and consideration of their interactions with such background factors as gender, ethnicity/race, marital status, living situation, and any immigration background. Complex patterns are shown by marital status interacted with gender, with very different effects of marital status for women than for men. Likewise, different patterns are shown by ethnicity interacted with age. Implications for health promotion are considered particularly for gender, marital status, and ethnicity, especially as they interact with age.