| Literature DB >> 29614971 |
Theresa Morris1, Amanda Gomez2, Miriam Naiman-Sessions3, Christine H Morton4.
Abstract
BACKGROUND: We apply Intersectional Theory to examine how compounded disadvantage affects the odds of women having a cesarean in U.S.-Mexico border hospitals and in non-border hospitals. We define U.S. Latinas with compounded disadvantage as those who have neither a college education nor private health insurance.Entities:
Keywords: Cesarean; Childbirth; Hispanic health paradox; Intersectional theory; Listening to Mothers III; U.S-Mexico border
Mesh:
Year: 2018 PMID: 29614971 PMCID: PMC5883278 DOI: 10.1186/s12884-018-1701-9
Source DB: PubMed Journal: BMC Pregnancy Childbirth ISSN: 1471-2393 Impact factor: 3.007
Descriptive statistics by region
| Border Region | Non-Border Region | |
|---|---|---|
| Ethnicity | ||
| Latina | 45.1% | 14.9% |
| Health Insurance Status | ||
| Private | 56.9% | 69.3% |
| Education | ||
| College Degree or more | 46.2% | 51.5% |
| Compounded Disadvantage | 25.5% | 6.4% |
| Cesarean Rate | 32.7% | 28.7% |
| Gestational Age | ||
| Pre-term (< 37 weeks) | 7.7% | 8.0% |
| Term (37–41 weeks) | 92.3% | 91.0% |
| Post-term (42 or more weeks) | 0.0% | 1.0% |
| Mean Parity | 1.9 | 1.9 |
| Mean Maternal Age | 28.4 | 30.6 |
| Previous Cesarean | 25% | 19% |
| Cesarean for Malpresentation | 0% | 2.4% |
Fig. 1Cesarean Section Rate by Region, LTMIII, 2011–2012. Cesarean Section Rate
Odds Ratios for logistic regression analysis of cesarean section delivery
| Model 1 | Model 2 | Model 3 | |
|---|---|---|---|
| Entire Sample | Non-Border Sample | Border Sample | |
| Latina | .920 | ||
| Private Health Insurance | 1.162 | ||
| College Degree | 1.133 | ||
| Border | 1.194 | ||
| Compounded Disadvantage | .532* | 3.759* | |
| Constant | .354** | .422** | .310** |
(* p ≤ 0.05; **p ≤ 0.01; one-tailed test)