Child Social Exclusion Risk and Child Health Outcomes in Australia

Mohanty, Itismita; Edvardsson, Martin; Abello, Annie; Eldridge, Deanna

doi:10.1371/journal.pone.0154536

Cited by 9 publications

(8 citation statements)

References 18 publications

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“…Children born into social and health disadvantage were more likely to have experienced a PPH by age 5. This is consistent with previous studies demonstrating higher PPH admission rates among Aboriginal or Torres Strait Islander children, 12 Pacific and Maori children7 and children experiencing deprivation7 21 or social exclusion 21 22…”

Section: Discussionsupporting

confidence: 93%

Potentially preventable hospitalisations in children: a comparison of definitions

et al. 2019

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ObjectiveTo compare admission rate, cumulative incidence and social distribution of potentially preventable hospitalisations (PPHs) among children according to the current Australian adult definition, and the child definition developed in New Zealand.Design, setting, participantsDeidentified, linked public hospital, births registry and perinatal data of children aged 0–10 years born 2002–2012 in South Australia (n=1 91 742).Main outcome measuresPPH admission rates among 0–10 year olds and cumulative incidence by age 5 under the adult and child definitions. Cumulative incidence was assessed across indicators of social and health disadvantage.ResultsPPH admission rates among 0–10 year olds were 25.6 (95% CI 25.3 to 25.9) and 59.9 (95% CI 59.5 to 60.4) per 1000 person-years for the adult and child definitions, respectively. Greater absolute differences in admission rates between definitions were observed at younger ages (age <1 difference: 75.6 per 1000 person-years; age 10 difference: 1.4 per 1000 person-years). Cumulative incidence of PPHs among 0–5 year olds was higher under the child (25.0%, 95% CI 24.7 to 25.2) than the adult definition (12.8%, 95% CI 12.6 to 13.0). Higher PPH incidence was associated with social and health disadvantage. Approximately 80% of the difference in admission rate between definitions was due to five conditions.ConclusionsRespiratory conditions and gastroenteritis were key contributors to the higher PPH admission rate and cumulative incidence among children when calculated under the child definition compared to the adult definition. Irrespective of definition, higher PPH cumulative incidence was associated with social and health disadvantage at birth.

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Section: Discussionsupporting

confidence: 93%

Potentially preventable hospitalisations in children: a comparison of definitions

et al. 2019

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“…Extensive empirical studies indicate that children and adolescents who are economically disadvantaged are likely to have poorer health (Lampert & Kuntz, 2019) and more mental health problems than their peers . For example, Mohanty et al (2016) developed a child social exclusion index with five domains (socioeconomic, education, connectedness, housing and health service access) and found that children who lived in areas with high levels of social exclusion had high rates of health outcomes (potentially preventable hospitalisations and avoidable deaths). Reiss (2013) systematically reviewed 55 articles and found that socio-economically disadvantaged children and adolescents are two to three times more likely to suffer from mental health problems.…”

Section: Structural-economic Exclusion and Child Wellbeingmentioning

confidence: 99%

Effects of structural‐economic and socio‐relational exclusion on well‐being of Chinese migrant children

Jiang

Ngai

2021

Health Social Care Comm

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Social exclusion is a widely accepted risk factor for child well‐being, but relatively little is known about its dynamics and effect on multiple well‐being domains. This study aims to extend prior research by examining the influencing mechanisms of structural‐economic and socio‐relational exclusion on the physical, psychological, behavioural and educational well‐being of Chinese migrant children. Multi‐stage cluster random sampling is used to recruit a sample of migrant children (N = 484; Mage = 11.65 years; 52.9% girls) in Kunming, China, and structural equation modelling is used for data analysis. Results indicate that a high level of structural‐economic exclusion predicts a high level of socio‐relational exclusion, which, in turn, leads to low levels of physical, psychological, behavioural and educational well‐being among migrant children. This study not only contributes to the understanding of the dynamic effects of social exclusion but also provides practical implications for social policy and interventions to reduce social exclusion and improve the well‐being of Chinese migrant children.

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“…Individual level indexes have issues of applicability across the age spectrum; indicators chosen to measure social exclusion therefore vary according to lifecycle stage (10). Since infants and young children are inextricably bound to and dependent on their families, child social exclusion reflects the marginal positions of the family unit (17). Studies of child social exclusion usually include variables to measure characteristics of children's parents, families and households (17,18).…”

Section: Social Exclusion Among Infants and Young Childrenmentioning

confidence: 99%

“…Since infants and young children are inextricably bound to and dependent on their families, child social exclusion reflects the marginal positions of the family unit (17). Studies of child social exclusion usually include variables to measure characteristics of children's parents, families and households (17,18).…”

Section: Social Exclusion Among Infants and Young Childrenmentioning

confidence: 99%

“…The higher of the two occupational statuses represented the family's occupational status. c(29).d ACSCs are avoidable with the application of public health interventions and early disease management, delivered in a primary care setting and are a marker for access to timely and effective primary care(17). e The Kotelchuck Adequacy of Prenatal Care Utilization Index was used to categorize antenatal care as "adequate," "intermediate," or "inadequate" based on gestation at entry into antenatal care, number of visits and gestation at delivery(30).f The Accessibility/Remoteness Index of Australia (ARIA+) divides Australia into classes of remoteness based on relative access to services(31).…”

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confidence: 99%

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Applying a Social Exclusion Framework to Explore the Relationship Between Sudden Unexpected Deaths in Infancy (SUDI) and Social Vulnerability

Shipstone

Young

Kearney

et al. 2020

Front. Public Health

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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.

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Child Social Exclusion Risk and Child Health Outcomes in Australia

Cited by 9 publications

References 18 publications

Potentially preventable hospitalisations in children: a comparison of definitions

Potentially preventable hospitalisations in children: a comparison of definitions

Effects of structural‐economic and socio‐relational exclusion on well‐being of Chinese migrant children

Applying a Social Exclusion Framework to Explore the Relationship Between Sudden Unexpected Deaths in Infancy (SUDI) and Social Vulnerability

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