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巴基斯坦、孟加拉国和英国白人母亲在不良分娩结果风险因素中的种族差异
Author(s) -
Garcia Rebecca,
Ali Nasreen,
Guppy Andrew,
Griffiths Malcolm,
Randhawa Gurch
Publication year - 2020
Publication title -
journal of advanced nursing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.948
H-Index - 155
eISSN - 1365-2648
pISSN - 0309-2402
DOI - 10.1111/jan.14209
Subject(s) - ethnic group , medicine , demography , pregnancy , white british , obstetrics , environmental health , population , genetics , sociology , anthropology , biology
Aim Reducing poor maternal and infant outcomes in pregnancy is the aim of maternity care. Adverse health behaviours lead to increased risk and can adversely mediate birth outcomes. This study examines whether risk factors are similar, different, or clustered according to maternal ethnicity. Design Retrospective analysis of routinely collected data (2008−2013). Methods We analysed data routinely collected data from a local University Hospital Ciconia Maternity information System (CMiS), for White British, Pakistani, and Bangladeshi women ( N = 15,211) using cross‐tabulations, ANCOVA, adjusted standardized residuals (ASR), and Pearson's chi‐squared statistics. Results The results demonstrate distinct clusters of risk factors between White British, Pakistani, and Bangladeshi mothers. Additionally, Pakistani mothers had the highest number of statistically significant risk factors, according to maternal ethnicity, showing that 49% of women in this cohort that were diagnosed with diabetes were Pakistani, 21.5% of White British women smoked and results showed that Bangladeshi mothers delivered the lightest weight infants (adjusted mean: 3,055.4 g). Conclusions This study showed differences in the risk factors between White British, Pakistani, and Bangladeshi mothers. The identified risk factors were clustered by maternal ethnicity. Impact Identification of these risk factor clusters can help policymakers and clinicians direct resources and may help reduce ethnic variation found in these populations that might be attributed to adverse health behaviours and increased risk factors.