The association between childhood family structure and offspring wellbeing is well-documented. Recent research shows that adult children of divorced parents will likely marry someone whose parents' divorced (i.e., family structure homogamy) and are subsequently likely to divorce themselves. This literature has focused primarily on marital unions, despite the rise in cohabitation and nonmarital childbearing. Research suggests that marriage and cohabitation are different types of unions and have different implications for the wellbeing of children. Therefore, we extend the literature by examining the role of family structure homogamy in matching patterns and union stability among unmarried, cohabiting couples. Data from the Fragile Families and Child Wellbeing Study suggest that unmarried, cohabiting mothers and fathers are both more likely to be from nonintact childhood family structures and are significantly more likely to dissolve their unions compared to married parents who both tend to be from intact childhood family structures.
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http://dx.doi.org/10.1177/0192513X13518211 | DOI Listing |
Nanomaterials (Basel)
December 2024
Shandong Provincial Key Laboratory of Molecular Engineering, School of Chemistry and Chemical Engineering, Qilu University of Technology (Shandong Academy of Sciences), Jinan 250353, China.
SrTiO, a prominent member of the Ruddlesden-Popper (RP) perovskite family, has garnered significant interest in photocatalysis, primarily owing to its distinctive two-dimensional (2D) layered structure. In this review, we provide an insightful and concise summary of the intrinsic properties of SrTiO, focusing on the electronic, optical, and structural characteristics that render it a promising candidate for photocatalytic applications. Moreover, we delve into the innovative strategies that have been developed to optimize the structural attributes of SrTiO.
View Article and Find Full Text PDFCells
December 2024
Department of Herbal Pharmacology, College of Korean Medicine, Gachon University, 1342 Seongnamdae-ro, Sujeong-gu, Seongnam-si 13120, Republic of Korea.
The NLRP3 inflammasome, plays a critical role in the pathogenesis of rheumatoid arthritis (RA) by activating inflammatory cytokines such as IL1β and IL18. Targeting NLRP3 has emerged as a promising therapeutic strategy for RA. In this study, a multidisciplinary approach combining machine learning, quantitative structure-activity relationship (QSAR) modeling, structure-activity landscape index (SALI), docking, molecular dynamics (MD), and molecular mechanics Poisson-Boltzmann surface area MM/PBSA assays was employed to identify novel NLRP3 inhibitors.
View Article and Find Full Text PDFCancer Med
January 2025
Faculty of Medical Sciences, Neuroscience Research Center, Lebanese University, Hadath, Lebanon.
Background: Glioblastoma (GBM) is the most common primary brain tumor in adults and has a median survival of less than 15 months. Advancements in the field of epigenetics have expanded our understanding of cancer biology and helped explain the molecular heterogeneity of these tumors. B-cell-specific Moloney murine leukemia virus insertion site-1 (Bmi-1) is a member of the highly conserved polycomb group (PcG) protein family that acts as a transcriptional repressor of multiple genes, including those that determine cell proliferation and differentiation.
View Article and Find Full Text PDFJ Clin Nurs
January 2025
Department of Nursing, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China.
Aim: To analyse how refined living arrangements, in the context of digital access, affect elderly healthcare resource utilisation and satisfaction with healthcare needs.
Design: A prospective cohort study. The study reporting is conformed to the STROBE checklist.
BMC Genomics
January 2025
College of Software, Nankai University, TianJin, China.
Background: Mining functional gene modules from genomic data is an important step to detect gene members of pathways or other relations such as protein-protein interactions. This work explores the plausibility of detecting functional gene modules by factorizing gene-phenotype association matrix from the phenotype ontology data rather than the conventionally used gene expression data. Recently, the hierarchical structure of phenotype ontologies has not been sufficiently utilized in gene clustering while functionally related genes are consistently associated with phenotypes on the same path in phenotype ontologies.
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