Abstract

Background: Sudden Unexpected Death in Infancy (SUDI) is a leading cause of preventable infant mortality and strongly associated with social adversity. While this has been noted over many decades, most previous studies have used single economic markers in social disadvantage analyses. To date there have been no previous attempts to analyze the cumulative effect of multiple adversities in combination on SUDI risk.Methods: Based on sociological theories of social exclusion, a multidimensional framework capable of producing an overall measure of family-level social vulnerability was developed, accounting for both increasing disadvantage with increasing prevalence among family members and effect of family structures. This framework was applied retrospectively to all cases of SUDI that occurred in Queensland between 2010 and 2014. Additionally, an exploratory factor analysis was performed to investigate whether differing “types” of vulnerability could be identified.Results: Increased family vulnerability was associated with four major known risk factors for sudden infant death: smoking, surface sharing, not-breastfeeding and use of excess bedding. However, families with lower levels of social vulnerability were more likely to display two major risk factors: prone infant sleep position and not room-sharing. There was a significant positive relationship between family vulnerability and the cumulative total of risk factors. Exploratory factor analysis identified three distinct vulnerability types (chaotic lifestyle, socioeconomic and psychosocial); the first two were associated with presence of major SUDI risk factors. Indigenous infants had significantly higher family vulnerability scores than non-Indigenous families.Conclusion: A multidimensional measure that captures adversity across a range of indicators highlights the need for proportionate universalism to reduce the stalled rates of sudden infant death. In addition to information campaigns continuing to promote the importance of the back-sleeping position and close infant-caregiver proximity, socially vulnerable families should be a priority population for individually tailored or community based multi-model approaches.

Highlights

  • IntroductionSudden Unexpected Death in Infancy (SUDI) is a leading cause of preventable infant mortality and strongly associated with social adversity

  • There are few previous efforts to develop a multidimensional measure of household or family level disadvantage: the Australian Bureau of Statistics used binary indicators from the Socioeconomic Indexes for Areas (SEIFA) [19, 20], and more recently the 2016 Census [14] on which families and/or households scored positively for each indicator displayed by one or more member

  • If Sudden Unexpected Death in Infancy (SUDI) rates are to be further reduced, the way in which risk reduction strategies are prioritized and distributed needs to be re-evaluated. These results indicate that lower and higher vulnerability families display different risk factors for SUDI, and that it is unlikely that a single preventative approach will achieve universal success in reducing SUDI mortality in Australia

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Summary

Introduction

Sudden Unexpected Death in Infancy (SUDI) is a leading cause of preventable infant mortality and strongly associated with social adversity While this has been noted over many decades, most previous studies have used single economic markers in social disadvantage analyses. There are few previous efforts to develop a multidimensional measure of household or family level disadvantage: the Australian Bureau of Statistics used binary indicators from the Socioeconomic Indexes for Areas (SEIFA) [19, 20], and more recently the 2016 Census [14] on which families and/or households scored positively for each indicator displayed by one or more member This method neither accounts for the increasing disadvantage experienced with the increasing prevalence of certain indicators within a household, nor the potential effect of family structures. Siblings do not have the same potential as adults to ameliorate the effect of a vulnerability characteristic but may exacerbate it

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Conclusion

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