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Multicenter Study
. 2020 Feb 2;10(1):e033296.
doi: 10.1136/bmjopen-2019-033296.

Socioeconomic gradients of adverse birth outcomes and related maternal factors in rural and urban Alberta, Canada: a concentration index approach

Affiliations
Multicenter Study

Socioeconomic gradients of adverse birth outcomes and related maternal factors in rural and urban Alberta, Canada: a concentration index approach

Maria Ospina et al. BMJ Open. .

Abstract

Objective: Using a summary measure of health inequalities, this study evaluated the distribution of adverse birth outcomes (ABO) and related maternal risk factors across area-level socioeconomic status (SES) gradients in urban and rural Alberta, Canada.

Design: Cross-sectional study using a validated perinatal clinical registry and an area-level SES.

Setting: The study was conducted in Alberta, Canada. Data about ABO and related maternal risk factors were obtained from the Alberta Perinatal Health Program between 2006 and 2012. An area-level SES index derived from census data (2006) was linked to the postal code at delivery.

Participants: Women (n=3 30 957) having singleton live births with gestational age ≥22 weeks.

Primary and secondary outcome measures: We estimated concentration indexes to assess inequalities across SES gradients in both rural and urban areas (CIdxR and CIdxU, respectively) for spontaneous preterm birth (PTB), small for gestational age (SGA), large for gestational age (LGA), gestational hypertension, gestational diabetes, smoking and substance use during pregnancy and pre-pregnancy weight >91 kg.

Results: The highest health inequalities disfavouring low SES groups were identified for substance abuse and smoking in rural areas (CIdxR-0.38 and -0.23, respectively). Medium inequalities were identified for LGA (CIdxR-0.08), pre-pregnancy weight >91 kg (CIdxR-0.07), substance use (CIdxU-0.15), smoking (CIdxU-0.14), gestational diabetes (CIdxU-0.10) and SGA (CIdxU-0.07). Low inequalities were identified for PTB (CIdxR-0.05; CIdxU-0.05) and gestational diabetes (CIdxR-0.04). Inequalities disfavouring high SES groups were identified for gestational hypertension (CIdxR+0.04), SGA (CIdxR+0.03) and LGA (CIdxU+0.03).

Conclusions: ABO and related maternal risk factors were unequally distributed across the socioeconomic gradient in urban-rural settings, with the greatest concentrations in lower SES groups of rural areas. Future research is needed on underlying mechanisms driving SES gradients in perinatal health across the rural-urban spectrum.

Keywords: epidemiology; maternal medicine; public health; social medicine.

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Conflict of interest statement

Competing interests: None declared.

Figures

Figure 1
Figure 1
Study population flow diagram.
Figure 2
Figure 2
Period prevalence (with 95% CI) of preterm birth (PTB), small for gestational age (SGA), large for gestational age (LGA) and gestational hypertension (GH) across socioeconomic status (SES) quintiles in urban and rural settings. Footnote: the linear gradient for the prevalence by health outcome across the SES quintiles was tested using regression analysis. The p value for the linear gradient was incorporated into the graph when it was statistically significant (p<0.05). Note that the y-axis scaling (%) differs among the different panels.
Figure 3
Figure 3
Period prevalence (with 95% CI) of pre-pregnancy weight >91 kg (Weight > 91 kg), gestational diabetes (GD), smoking and substance use during pregnancy across socioeconomic status (SES) quintiles in urban and rural settings. Footnote: the linear gradient for the prevalence by health outcome across the SES quintiles was tested using regression analysis. The p value for the linear gradient was incorporated into the graph when it was statistically significant (p<0.05). Note that the y-axis scaling (%) differs among the different panels.
Figure 4
Figure 4
Concentration index (CIdx) of adverse birth outcomes and related maternal factors among urban and rural populations in Alberta (2006–2012). Weight > 91 kg pertains to pre-pregnancy weight > 91 kg. Horizontal lines indicate 95% CI around the concentration index (CIdx). Degrees of inequalities were interpreted based on the absolute value of the concentration index as low (≤ |0.05|), medium (|0.06 to 0.19|) and high (≥ |0.20|).

References

    1. Beck S, Wojdyla D, Say L, et al. . The worldwide incidence of preterm birth: a systematic review of maternal mortality and morbidity. Bull World Health Organ 2010;88:31–8. 10.2471/BLT.08.062554 - DOI - PMC - PubMed
    1. Black RE. Global prevalence of small for gestational age births. Nestle Nutr Inst Workshop Ser 2015;81:1–7. - PubMed
    1. Kim SY, Sharma AJ, Sappenfield W, et al. . Association of maternal body mass index, excessive weight gain, and gestational diabetes mellitus with Large-for-Gestational-Age births. Obstet Gynecol 2014;123:737–44. 10.1097/AOG.0000000000000177 - DOI - PMC - PubMed
    1. Blencowe H, Cousens S, Chou D, et al. . Born too soon: the global epidemiology of 15 million preterm births. Reprod Health 2013;10:S2 10.1186/1742-4755-10-S1-S2 - DOI - PMC - PubMed
    1. Solar O, Irwin A. A conceptual framework for action on the social determinants of health. social determinants of health discussion paper 2 (Policy and Practice). Geneva: WHO, 2010.

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