Dataset Information

Understanding Generational Differences in Early Fertility: Proximate and Social Determinants.

ABSTRACT: Although US rates of early fertility have declined, they remain high relative to other high-income countries, and disparities by population group persist. The share of the US youth population with immigrant parents has expanded greatly, yet relatively little is known about generational variations in early fertility. This study used Add Health data to investigate: (1) differences by generational status in the risk of early childbearing; (2) to what extent observed differences reflected timing of sexual onset versus post-onset proximate determinants like contraceptive use; and (3) the influence of individual-, family-, and neighborhood-level social factors. Foreign-born and second-generation young women initiated both sexual activity and childbearing later than those with US-born parents. Sequential hazard models revealed the importance of later sexual onset in explaining delayed fertility among the foreign-born, and of family attributes for their later sexual onset. Post-onset behaviors were central to the delayed childbearing observed among the second generation.

SUBMITTER: Goldberg RE

PROVIDER: S-EPMC6238967 | biostudies-literature | 2018 Oct

REPOSITORIES: biostudies-literature

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Understanding Generational Differences in Early Fertility: Proximate and Social Determinants.

Goldberg Rachel E RE

Journal of marriage and the family 20180619 5

Although US rates of early fertility have declined, they remain high relative to other high-income countries, and disparities by population group persist. The share of the US youth population with immigrant parents has expanded greatly, yet relatively little is known about generational variations in early fertility. This study used Add Health data to investigate: (1) differences by generational status in the risk of early childbearing; (2) to what extent observed differences reflected timing of ...[more]

PMID: 30455507

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Project description:BackgroundSocial determinants of health play an important role in the likelihood of readmission and therefore should be considered in care transition planning. Unfortunately, some social determinants that can be of value to care transition planners are missing in the electronic health record. Rather than trying to understand the value of data that are missing, decision makers often exclude these data. This exclusion can lead to failure to design appropriate care transition programs, leading to readmissions.ObjectivesThis article examines the value of missing social determinants data to emergency department (ED) revisits, and subsequent readmissions.MethodsA deidentified data set of 123,697 people (18+ years), with at least one ED visit in 2017 at the University of Alabama at Birmingham Medical Center was used. The dependent variable was all-cause 30-day revisits (yes/no), while the independent variables were missing/nonmissing status of the social determinants of health measures. Logistic regression was used to test the relationship between likelihood of revisits and social determinants of health variables. Moreover, relative weight analysis was used to identify relative importance of the independent variables.ResultsTwelve social determinants were found to be most often missing. Of those 12, only "lives with" (alone or with family/friends) had higher odds of ED revisits. However, relative logistic weight analysis suggested that "pain score" and "activities of daily living" (ADL) accounted for almost 50% of the relevance for ED revisits when compared among all 12 variables.ConclusionIn the process of care transition planning, data that are documented are factored into the care transition plan. One of the most common challenges in health services practice is to understand the value of missing data in effective program planning. This study suggests that the data that are not documented (i.e., missing) could play an important role in care transition planning as a mechanism to reduce ED revisits and eventual readmission rates.

Project description:In the US, high rates of preterm birth (PTB) and profound Black-White disparities in PTB have persisted for decades. This review focuses on the role of social determinants of health (SDH), with an emphasis on maternal stress, in PTB disparity and biological embedding. It covers: (1) PTB disparity in US Black women and possible contributors; (2) the role of SDH, highlighting maternal stress, in the persistent racial disparity of PTB; (3) epigenetics at the interface between genes and environment; (4) the role of the genome in modifying maternal stress-PTB associations; (5) recent advances in multi-omics studies of PTB; and (6) future perspectives on integrating multi-omics with SDH to elucidate the Black-White disparity in PTB. Available studies have indicated that neither environmental exposures nor genetics alone can adequately explain the Black-White PTB disparity. Preliminary yet promising findings of epigenetic and gene-environment interaction studies underscore the value of integrating SDH with multi-omics in prospective birth cohort studies, especially among high-risk Black women. In an era of rapid advancements in biomedical sciences and technologies and a growing number of prospective birth cohort studies, we have unprecedented opportunities to advance this field and finally address the long history of health disparities in PTB. IMPACT: This review provides an overview of social determinants of health (SDH) with a focus on maternal stress and its role on Black-White disparity in preterm birth (PTB). It summarizes the available literature on the interplay of maternal stress with key biological layers (e.g., individual genome and epigenome in response to environmental stressors) and significant knowledge gaps. It offers perspectives that such knowledge may provide deeper insight into how SDH affects PTB and why some women are more vulnerable than others and underscores the critical need for integrating SDH with multi-omics in prospective birth cohort studies, especially among high-risk Black women.

Dataset Information

Understanding Generational Differences in Early Fertility: Proximate and Social Determinants.

Publications

Understanding Generational Differences in Early Fertility: Proximate and Social Determinants.

Similar Datasets

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