ArticleSSM - population health2022
Can social risks in early life predict children's health and academic outcomes? An analysis of the Longitudinal Study of Australian Children.
Article in SSM - population health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
2 citing papers in PubMed.
- Cohort Profile: Growing up in Australia: the Longitudinal Study of Australian Children (LSAC).International journal of epidemiology · 2025Article
- Social Risk Factors Influence Pediatric Emergency Department Utilization and Hospitalizations.The Journal of pediatrics · 2022Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Exposure to social risk in early life negatively impacts the health and wellbeing of children. While screening for social determinants of health is recommended, there is little evidence that identifying social risk early in life predicts longer-term poorer outcomes. The purpose of this study is to examine the extent to which assessing social risk using a standardized tool in young children up to age 6 years might predict poor health and academic performance at 10-11 years old. The social risk domains studied were housing instability, food insecurity, financial strain, transport problems, safety, lack of support and unemployment. The predictive validity of these social risk domains measured at 0-5 years was examined using data from the Longitudinal Study of Australian Children. Outcomes at 10-11 years included ongoing diseases and mental health conditions, hospitalization, injury, dental problems, overweight or obesity and academic achievement. Financial strain and inability to access support were the most sensitive measures of poor outcomes. Across all social risks, the positive predictive value was highest for academic outcomes. Across all domains, there was higher sensitivity for children with 2 or more social risks. Items in the social risk screening tool were moderate predictors of academic outcomes, but weak predictors of health outcomes at 10-11 years. This data will be useful for informing screening for social determinants of health.
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