Guided by stress process and life course theory, the purpose of this study was to examine adult child caregivers' psychological and physical health trajectories and how their multiple family (caregiving, marital, and parenting) and nonfamily (employment) roles contributed to these health outcomes over time. Seven waves of data from the Health and Retirement Study were analyzed for 1,300 adult child caregivers using latent growth curve models. Adult child caregivers have distinct psychological and physical health trajectories that are related to their roles over time. The importance of any given role varies by the type of health outcome and timing in the life course. Caregiving alone does not contribute to adult child caregivers' psychological and physical health; marital and employment roles also contribute significantly to caregivers' life courses.
Guided by life course and stress process theory, this study investigated pathways of adult child caregivers' family (caregiving, marital, parenting) and nonfamily (employment) roles. Eight waves of data from the Health and Retirement Study were analyzed for 1,300 adult child caregivers. Latent class analysis provided strong evidence for a 4‐class model of caregivers' role pathways. The four pathways were (a) Not‐Married, Early‐Transition to Not‐Working Caregivers (34%), (b) Married, Not‐Working Caregivers (26%), (c) Married, Late‐Transition to Not‐Working Caregivers (23%), and (d) Married, Not‐Working Caregivers with Coresiding Child (17%). Caregivers' background characteristics and contexts predicted pathway membership. Adult child caregivers have structurally diverse life pathways that have implications for theory, research, and practice.
SUMMARYHoney bees (Apis mellifera anatolica) were subjected to sequential trials where they were given the choice between a featurepositive and a feature-negative feeding plate. The ʻfeatureʼ being manipulated is the presence of a single blue circle among three circles marking the location of a small sucrose reward. That is, a ʻfeature-negativeʼ target had three white circles, while a ʻfeature-positiveʼ target had two white circles and one blue one. Two experiments were performed. In both experiments, each bee was tested under two different reward scenarios (treatments). In the first experiment, during the feature-positive treatment bees received 4μl of 2moll -1 sucrose when choosing the feature-positive plate, but received 4μl of saturated NaCl solution (saltwater) when choosing the feature-negative plate. During the feature-negative treatment, bees were rewarded when visiting the featurenegative plate, while visitation to the feature-positive plate only offered bees the saltwater. The second experiment was a repeat of the first except that pure water was offered instead of saltwater in the non-rewarding feeding plate. As an experimental control, a set of bees was offered sequential trials where both the feature-positive and feature-negative plates offered the sucrose reward. Bee feeding plate choice differed between the feature-positive and feature-negative treatments in both experiments. Bees favored the feeding plate type with the sucrose reward in each treatment, and never consumed the saltwater or pure water when encountered in either treatment. Further, behavior of bees during both the feature-positive and feature-negative treatments differed from that of control bees. However, neither feature-positive nor feature-negative learning reached high levels of success. Further, a feature-positive effect was seen when pure water was offered; bees learned to solve the feature-positive problem more rapidly. When we tested bees using simply the choice of blue versus white targets, where one color held the sucrose reward and the other the saltwater, a beeʼs fidelity to the color offering the sucrose reward quickly reached very high levels.
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