Research suggests that youth with more financial and social resources are more likely to have access to mentorship. Conversely, the rising star hypothesis posits that youth who show promise through their individual successes are more likely to be mentored. Utilizing a nationally representative sample ( N = 4,882), we tested whether demographic characteristics (e.g., race, SES) or personal resources (e.g., academic/social success) are better predictors of receiving mentorship. Regression analyses suggested that demographic, contextual, and individual characteristics all significantly predicted access to mentorship, specifically by non-familial mentors. However, conditional inference tree models that explored the interaction of mentorship predictors by race showed that individual characteristics mattered less for Black and Latino/a youth. Therefore, the rising star hypothesis may hold true for White youth, but the story of mentoring is more complicated for youth of color. Findings highlight the implications of Critical Race Theory for mentoring research and practice.

Objectives The majority of self-perceptions of aging (SPA) research uses either a combination of the Aging-related Cognitions (AgeCog) scales of Ongoing Development and Physical Loss, or the Attitudes Towards Own Aging (ATOA) subscale to assess views on aging. Although these scales are used interchangeably, the valence (positive/negative) and the specificity of the view on aging (domain-based/general) being assessed are not consistent. This study investigates how different measures of SPA relate to one another and whether they differentially predict various types of health outcomes (psychological/physiological; well-being/ill-being). Method Data from the 2008 and 2014 waves of the German Aging Survey (DEAS; N = 3,745), a population-based representative survey of adults aged 40–95, was used to examine the relationship between the AgeCog scales and the ATOA subscale, as well as the differences in the types of health outcomes each predicts. Results The correlations between the AgeCog scales and the ATOA were higher than the correlation between the AgeCog scales (p < .001). The AgeCog scale of Ongoing Development significantly predicted psychological health outcomes across a 6-year period, while the AgeCog scale of Physical Loss and the ATOA subscale predicted both physiological and psychological health outcomes. Discussion Evidence supports using the AgeCog scale of Ongoing Development to predict domain-relevant, psychological health outcomes. However, the multidimensionality of SPA is best measured by the ATOA subscale or a combination of the two AgeCog scales. Both forms of measurement were found to maximize the amount of explained variance for psychological and physiological indicators of well-being and ill-being.

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The majority of self-perceptions of aging (SPA) research uses either a combination of the Age-related Cognition (AgeCog) scales of Ongoing Development and Physical Loss, or the Attitudes Towards Own Aging (ATOA) subscale to assess views on aging. Although these scales are used interchangeably, the valence (positive/negative) and the specificity of the view on aging (domain-based/general) being assessed are not consistent. This study investigates how different measures of SPA relate to one another and whether they differentially predict various types of health outcomes (psychological/physiological; well-being/ill-being). Data from the 2008 and 2014 waves of the German Aging Survey (DEAS; n=3,745), a population-based representative survey of adults aged 40 to 95, was used to examine the relationship between the AgeCog scales and the ATOA subscale, as well as the differences in the types of health outcomes each predicts. The correlations between the AgeCog scales and the ATOA were higher than the correlation between the AgeCog scales (p < .001). The AgeCog scale of Ongoing Development significantly predicted psychological health outcomes across a six-year period, while the AgeCog scale of Physical Loss and the ATOA subscale predicted both physiological and psychological health outcomes. Evidence supports using the AgeCog scale of Ongoing Development to predict domain-relevant, psychological health outcomes. However, the multidimensionality of SPA is best measured by the ATOA subscale or a combination of the two AgeCog scales. Both forms of measurement were found to maximize the amount of explained variance for psychological and physiological indicators of well-being and ill-being.