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Vogel, Nina

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    How does availability of county-level healthcare services shape terminal decline in well-being?
    (2017) Ram, Nilam; Goebel, Jan; Vogel, Nina; Wagner, Gerd G.
    Both lifespan psychology and life course sociology highlight that contextual factors influence individual functioning and development. In the current study, we operationalize context as county-level care services in inpatient and outpatient facilities (e.g., number of care facilities, privacy in facilities) and investigate how the care context shapes well-being in the last years of life. To do so, we combine 29 waves of individual-level longitudinal data on life satisfaction from now deceased participants in the nationwide German Socio-Economic Panel Study (N = 4557; age at death: M = 73.35, SD = 14.20; 47% women) with county-level data from the Federal Statistical Office. Results from three-level growth models revealed that having more inpatient care facilities, more employees per resident, and more staff in administration are each uniquely associated with higher late-life well-being, independent of key individual (age at death, gender, education, disability) and county (affluence, demographic composition) characteristics. Number of employees in physical care, residential comfort, and flexibility and care indicators in outpatient institutions were not found to be associated with levels or change in well-being. We take our results to provide empirical evidence that some contextual factors shape well-being in the last years of life and discuss possible routes how local care services might alleviate terminal decline.
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    Human biomonitoring reference values: Differences and similarities between approaches for identifying unusually high exposure of pollutants in humans
    (2019) Apel, Petra; Conrad, André; Kolossa-Gehring, Marike; Rucic, Enrico; Vogel, Nina
    In exposure and risk assessment, the indication of unusually high exposure levels in humans to chemicals has been considered as an important objective for decades. To realize this objective, reference values (RV) need to be derived. However, while there is a tendency towards using the 95th percentile as a basis for deriving these reference values there is still no consensus. Moreover, side approaches have evolved including deriving RVs based on other percentiles, reporting multiple RVs or only reporting percentiles. The purpose of this article is to give an overview of the current literature, to point out differences and similarities between existing approaches, and to highlight important criteria for the derivation of RVs. We observe the majority of studies to base RVs on the 95th percentile and its 95% confidence interval which can been justified by statistical paradigms, present arguments for a single defined reference value, and discuss characteristics which call for more consistency. To conclude, our overview provides a first step towards a more homogenous and standardized derivation procedure to identify unusually high exposures in exposure science. © 2018 The Authors. Published by Elsevier GmbH.