The South Carolina Multigenerational Linked Birth Dataset: Developing Social Mobility Measures Across Generations to Understand Racial/Ethnic Disparities in Adverse Birth Outcomes in the US South.
Objectives To describe the creation of a multigenerational linked dataset with social mobility measures for South Carolina (SC), as an example for states in the South and other areas of the country. Methods Using unique identifiers, we linked birth certificates along the maternal line using SC birth...
| Publicado en: | Maternal & Child Health Journal Vol. 23; no. 6; pp. 787 - 802 |
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| Autores principales: | , , , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
Springer Nature
Jun2019
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=136405067&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 136405067 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 10927875 N9J jtl: Maternal & Child Health Journal issn: 10927875 maglogo: N pubinfo: dt: Jun2019 vid: 23 iid: 6 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 136405067 136405067 136405067 10.1007/s10995-018-02695-z 136405067 ppf: 787 ppct: 15 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: The South Carolina Multigenerational Linked Birth Dataset: Developing Social Mobility Measures Across Generations to Understand Racial/Ethnic Disparities in Adverse Birth Outcomes in the US South. aug: au: Fleischer, Nancy L. Abshire, Chelsea Margerison, Claire E. Nitcheva, Daniela Smith, Michael G. affil: Department of Epidemiology, School of Public Health, Center for Social Epidemiology and Population Health, University of Michigan, 1415 Washington Heights, 48109, Ann Arbor, MI, USA sug: subj: Generation Y Social Mobility South Carolina Birth Certificates Statistics and Numerical Data Ethnic Groups Race Factors Pregnancy Complications Human South Carolina Pregnancy Female Socioeconomic Factors Mothers Fathers Educational Status Infant, Low Birth Weight Comparative Studies Descriptive Statistics Childbirth, Premature Data Analysis Software Chi Square Test T-Tests Adult Child Adolescence Male Funding Source Adult: 19-44 years Child: 6-12 years Adolescent: 13-18 years Female Male ab: Objectives To describe the creation of a multigenerational linked dataset with social mobility measures for South Carolina (SC), as an example for states in the South and other areas of the country. Methods Using unique identifiers, we linked birth certificates along the maternal line using SC birth certificate data from 1989 to 2014, and compared the subset of records for which linking was possible with two comparison groups on sociodemographic and birth outcome measures. We created four multi-generational social mobility measures using maternal education, paternal education, presence of paternal information, and a summary score incorporating the prior three measures plus payment source for births after 2004. We compared social mobility measures by race/ethnicity. Results Of the 1,366,288 singleton birth certificates in SC from 1989 to 2014, we linked 103,194, resulting in 61,229 unique three-generation units. Mothers and fathers were younger and had lower education, and low birth weight was more common, in the multigenerational linked dataset than in the two comparison groups. Based on the social mobility summary score, only 6.3% of White families were always disadvantaged, compared to 30.4% of Black families and 13.2% of Hispanic families. Moreover, 32.8% of White families were upwardly mobile and 39.1% of Black families were upwardly mobile, but only 29.9% of Hispanic families were upwardly mobile. Conclusions for Practice When states are able to link individuals, birth certificate data may be an excellent source for examining population-level relationships between social mobility and adverse birth outcomes. Due to its location in the Deep South, the multigenerational SC dataset may be particularly useful for understanding racial/ethnic difference in social mobility and birth outcomes. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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