@techreport{AlonsoPerezMcEvoyRamosetal., type = {Working Paper}, author = {Alonso-Perez, Enrique and McEvoy, Olan and Ramos, Vincent and O'Sullivan, Julie Lorraine and Liebig, Stefan and Kreyenfeld, Michaela and Lersch, Philipp and Bazzani, Giacomo and Guetto, Raffaele and Vignoli, Daniele and Heisig, Jan and Solga, Heike and Gellert, Paul}, title = {Cognitive Pretest of a Factorial Survey Experiment on Future Narratives and Family Care}, doi = {10.48462/opus4-4174}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:b1570-opus4-41744}, pages = {16}, abstract = {Within the Preparation Module for the Einstein Center for Population Diversity (ECPD), diverse research institutions came together to provide new survey instruments for the innovation sample in the German Socio-Economic Panel (SOEP-IS). With the goal of collecting insightful information about future narratives and family care, central topics of the ECPD research endeavor, factorial survey was chosen as a suitable method. A preliminary set of vignettes was designed conjointly, and before proceeding with the large-scale survey, a series of cognitive pretests were conducted to examine comprehensibility and context effects. In this study we describe the design and analysis of these cognitive pretests, with a special focus on the process of designing the final survey informed by the pretests' feedback.}, language = {en} } @article{AlonsoPerezGellertKreyenfeldetal., author = {Alonso-Perez, Enrique and Gellert, Paul and Kreyenfeld, Michaela and O'Sullivan, Julie Lorraine}, title = {Family Structure and Family Climate in Relation to Health and Socioeconomic Status for Older Adults: A Longitudinal Moderated Mediation Analysis}, series = {International Journal of Environmental Research and Public Health}, volume = {19}, journal = {International Journal of Environmental Research and Public Health}, number = {18}, doi = {10.3390/ijerph191811840}, abstract = {Family characteristics are associated with individuals' health and wellbeing. However, the link between family structure (e.g., operationalized via marital status) and health outcomes is ambiguous, and whether family climate mediates the relationship is unclear. This study uses the Biobehavioral Family Model (BBFM) to investigate the association of older adults' family structure with later health, the mediating role of family climate and mental health and how these links vary by socioeconomic status (SES). Using data from n = 29,457 respondents aged over 50 in Waves 4, 5 and 6 (2011, 2013 and 2015) of the Survey of Health, Retirement and Ageing in Europe (SHARE), the BBFM was applied in a longitudinal mediation analysis of family structure and health, including both indicators of mental and physical health. Structural equation modeling was applied, and a multigroup analysis was performed to test the role of SES in a moderated mediation. Family climate and mental health mediated the relationship between family structure and subsequent physical health. Good levels of family climate were found to be consistently associated with improved mental and physical health. These relationships were significantly moderated by SES, showing that the association of family climate and health was weaker for those in low SES positions. Family climate and mental health should be considered as potential mechanisms linking family structure to later physical health outcomes across time; however, these associations are diminished for those with low SES.}, language = {en} } @article{StadlerChesaniukHaeringetal., author = {Stadler, Gertraud and Chesaniuk, Marie and Haering, Stephanie and Roseman, Julia and Straßburger, Vera Maren and Schraudner, Martina and Ahmad, Aisha-Nusrat and Auma, Maisha and Banas, Kasia and Borde, Theda and Buspavanich, Pichit and Dewey, Marc and Di Maio, Sally and Ditlmann, Ruth K. and Enarovic, Ilona and Fischer, Marina and Gellert, Paul and Gerstorf, Denis and Grittner, Ulrike and Gutsell, Jennifer and Hagelskamp, Carolin and Henschel, Anna and Herrmann, Wolfram and Hilger, Caren and Horozoglu, G{\"u}lru and H{\"o}vener, Claudia and Hunter, Emma and Iida, Masumi and Keller, Lena and Kendel, Friederike and Krumbholz, Charlotte Ariane and Licha, Matthias and Mason, Kimberly and Mata, Jutta and Mau, Steffen and Meuwly, Nathalie and Moschko, Tomasz and M{\"u}ller-Werdan, Ursula and O'Sullivan, Julie Lorraine and Radl, Jonas and Rathmann, Christian and Regitz-Zagrosek, Vera and Rieckmann, Nina and Rommel, Alexander and Salikutluk, Zerrin and Shrout, Patrick E. and Smith, Jamie and Specht, Jule and Stephan, Petra and Stock, Christiane and Wenzel, Mine}, title = {Diversified innovations in the health sciences: Proposal for a Diversity Minimal Item Set (DiMIS)}, series = {Sustainable Chemistry and Pharmacy}, volume = {33}, journal = {Sustainable Chemistry and Pharmacy}, doi = {10.1016/j.scp.2023.101072}, abstract = {Background Science strives to provide high-quality evidence for all members of society, but there continues to be a considerable gender and diversity data gap, i.e., a systematic lack of data for traditionally underrepresented groups. Gender and other diversity domains are related to morbidity, mortality, and social and economic participation, yet measures as well as evidence regarding how these domains intersect are missing. We propose a brief, efficient Diversity Minimal Item Set (DiMIS) for routine data collection in empirical studies to contribute to closing the diversity and gender data gap. We focus on the example of health but consider the DiMIS applicable across scientific disciplines. Methods To identify items for the DiMIS across diversity domains, we performed an extensive literature search and conducted semi-structured interviews with scientific experts and community stakeholders in nine diversity domains. Using this information, we created a minimal item set of self-report survey items for each domain. Findings Items covering nine diversity domains as well as discrimination experiences were compiled from a variety of sources and modified as recommended by experts. The DiMIS focuses on an intersectional approach, i.e., studying gender, age, socioeconomic status, care responsibilities, sexual orientation, ethnicity, religion, disability, mental and physical health, and their intersections. It allows for data sets with comparable assessments of gender and diversity across multiple projects to be combined, creating samples large enough for meaningful analyses. Interpretation In proposing the DiMIS, we hope to advance the conversation about closing the gender and diversity data gap in science.}, language = {en} } @article{AlonsoPerezHeisigKreyenfeldetal., author = {Alonso-Perez, Enrique and Heisig, Jan Paul and Kreyenfeld, Michaela and Gellert, Paul and O'Sullivan, Julie Lorraine}, title = {Intersectional inequalities in the transition to grandparenthood and cognitive functioning: A longitudinal Multilevel Analysis of Individual Heterogeneity and Discriminatory Accuracy (MAIHDA)}, series = {The Journals of Gerontology: Series B}, journal = {The Journals of Gerontology: Series B}, doi = {10.1093/geronb/gbae088}, abstract = {Objectives In aging societies, more people become vulnerable to experiencing cognitive decline. Simultaneously, the role of grandparenthood is central for older adults and their families. Our study investigates inequalities in the level and trajectories of cognitive functioning among older adults, focusing on possible intersectional effects of social determinants and grandparenthood as a life course transition that may contribute to delaying cognitive decline. Methods Using longitudinal data from the Survey of Health, Ageing and Retirement in Europe, we analyzed a sample of 19,953 individuals aged 50-85 without grandchildren at baseline. We applied Multilevel Analysis of Individual Heterogeneity and Discriminatory Accuracy to investigate variation in cognitive functioning across 48 intersectional strata, defined by sex/gender, migration, education, and occupation. We allowed the impact of becoming a grandparent on cognitive functioning trajectories to vary across strata by including random slopes. Results Intersectional strata accounted for 17.43\% of the overall variance in cognitive functioning, with most of the stratum-level variation explained by additive effects of the stratum-defining characteristics. Transition to grandparenthood was associated with higher cognitive functioning, showing a stronger effect for women. Stratum-level variation in the grandparenthood effect was modest, especially after accounting for interactions between grandparenthood and the stratum-defining variables. Discussion This study highlights the importance of social determinants for understanding heterogeneities in older adults' level of cognitive functioning and its association with the transition to grandparenthood. Cumulative disadvantages negatively affect cognitive functioning, hence adopting an intersectional lens is useful to decompose inequalities and derive tailored interventions to promote equal healthy aging.}, language = {en} }