Children who grow up in low-income households are likely to remain poor throughout their lives. The odds of spending a lifetime in poverty are even greater for children of color, who are more likely to be born into poverty and are less likely to be economically mobile than their White counterparts. Informal mentoring (i.e., a positive relationship with a caring, non-parental adult) has been associated with key steps towards economic mobility, such as educational attainment and workforce participation. Yet previous research also suggests that some mentors may be in a better position to promote the accumulation of these building blocks than others. Our study used data from three waves of the National Longitudinal Study of Adolescent Health, a cluster analysis, and a series of logistic regressions to examine which types of mentors were associated with the promotion of upward mobility for youth most vulnerable to intergenerational persistence of poverty. Findings demonstrated that the presence of "capital" mentors, or adults who connected youth to other important relationships and resources, was associated with upward economic mobility. Our findings suggest that those who are interested in promoting economic mobility for vulnerable youth should consider investing in ways to connect youth with adults outside their immediate social networks.
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http://dx.doi.org/10.1007/s10935-021-00630-7 | DOI Listing |
Front Sociol
December 2024
Department of Labor Economics and Industrial Relations, Faculty of Economics, Marmara University, Istanbul, Türkiye.
Digital platforms are transforming the world of work. However, platforms operating in similar fields of activity encounter varying mechanisms of opposition, as a result of different degrees of professional institutionalization and their relations with the state. This study examines the diversified labor/capital struggle processes on platforms operating at different points of urban mobility in Istanbul and makes an evaluation between delivery and transportation platforms.
View Article and Find Full Text PDFCureus
November 2024
Orthopedics, Jawaharlal Nehru Medical College and Hospital, Bhagalpur, IND.
Introduction Arthritis affects a significant number of adults in the United States, leading to pain and limited mobility. This study explores the impact of physical activity on patients with arthritis, including rheumatoid arthritis, gout, lupus, and fibromyalgia. Using data from the Behavioral Risk Factor Surveillance System (BRFSS), it examines how exercise may improve symptoms and quality of life for these patients.
View Article and Find Full Text PDFBr J Math Stat Psychol
December 2024
Millennium Nucleus on Intergenerational Mobility: From Modelling to Policy (MOVI), Santiago de Chile, Chile.
The extent to which college admissions test scores can forecast college grade point average (GPA) is often evaluated in predictive validity studies using regression analyses. A problem in college admissions processes is that we observe test scores for all the applicants; however, we cannot observe the GPA of applicants who were not selected. The standard solution to tackle this problem has relied upon strong assumptions to identify the exact value of the regression function in the presence of missing data.
View Article and Find Full Text PDFBMC Health Serv Res
December 2024
Clinic for Emergency Medicine, Ketteler Krankenhaus gGmbH, Offenbach Hesse, Germany.
Background: A large number of people in Germany have no health insurance. Their access to the official healthcare system is significantly more difficult or impossible. Charitable institutions try to provide medical care and create parallel healthcare structures.
View Article and Find Full Text PDFNat Hum Behav
December 2024
Institute for Data, Systems, and Society, Massachusetts Institute of Technology, Cambridge, MA, USA.
Disruptions, such as closures of businesses during pandemics, not only affect businesses and amenities directly but also influence how people move, spreading the impact to other businesses and increasing the overall economic shock. However, it is unclear how much businesses depend on each other during disruptions. Leveraging human mobility data and same-day visits in five US cities, we quantify dependencies between points of interest encompassing businesses, stores and amenities.
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