How does the local area deprivation influence life chances for children in poverty in Wales: A record linkage cohort study

Bandyopadhyay, Amrita; Whiffen, Tony; Fry, Richard; Brophy, Sinéad

doi:10.1016/j.ssmph.2023.101370

Cited by 7 publications

(5 citation statements)

References 26 publications

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“…This suggests that deprivation should now be considered as a risk factor for squalid living and that squalor is not evenly distributed throughout society, but rather is more likely in communities suffering high deprivation. This is in line with numerous other negative outcomes which are also associated with deprivation, including measures of health, child well-being and crime [73][74][75][76].…”

Section: Household Factorssupporting

confidence: 76%

Household factors and prevalence of squalor: meta-analysis and meta-regression

Norton,

Kellett,

Huddy

et al. 2024

BMC Public Health

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Background Severe domestic squalor occurs when a person lives in a dwelling that is significantly unclean, disorganised and unhygienic. The limited previous research has primarily focused on the characteristics of those who live in squalor and the associated risk factors. Robust and reliable studies of squalor prevalence have not been conducted. This study sought to produce a reliable estimate of the point prevalence of squalor. Methods Using data from 13-years of the English Housing Survey, N = 85,681 households were included in a prevalence meta-analysis. Squalor prevalence over time, subgroup analysis and logistic regression investigated the role played by household and community characteristics. Results The point prevalence of squalor was estimated to be 0.85% and squalor was seen to decrease significantly over time. More significant community deprivation, a rented dwelling, lower income and high numbers of people in the home was associated with a greater risk of squalor. Conclusions Squalor prevalence was higher than previous estimates and supports community care services in associated service planning. The results regarding household characteristics help to inform which households and individuals may be at a higher risk of living in squalid conditions.

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Section: Household Factorssupporting

confidence: 76%

Household factors and prevalence of squalor: meta-analysis and meta-regression

Norton,

Kellett,

Huddy

et al. 2024

BMC Public Health

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“…As well as implementing high-level policies to improve the social determinants of health targets, for example, setting a target to end child poverty (as recommended by the RCPCH), 26 there may be a role for more local and regional interventions to improve access to primary and community services in deprived areas 4 and to invest in education and community building to build neighbourhood resilience. 1 …”

Section: Discussionmentioning

confidence: 99%

“…Children living in areas of relative deprivation face increased risks of poorer health and other adverse life consequences. 1 The period of early childhood is increasingly recognised as a critical period of development and the most highly sensitive to external influences. 1 2 Children living in areas of relative deprivation face many increased health risks associated with poverty (which means that children are more likely to die in the first year of life, be born small, be bottle fed, breathe secondhand smoke, become overweight, suffer from asthma, have tooth decay and die in an accident 3 ).…”

Section: Introductionmentioning

confidence: 99%

Examining the hospital costs of children born into relative deprivation in England

Dale,

Gutacker,

Bradshaw

et al. 2024

J Epidemiol Community Health

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ObjectiveTo examine the association between being born into relative deprivation and hospital costs during childhood.DesignRetrospective cohort study.MethodsWe created a birth cohort using Hospital Episode Statistics for children born in NHS hospitals in 2003/2004. The Index of Multiple Deprivation (IMD) rank at birth was missing from 75% of the baby records, so we linked mother and baby records to obtain the IMD decile from the mother’s record. We aggregated and costed each child’s hospital inpatient admissions, and outpatient and emergency department (ED) attendances up to 15 years of age. We used 2019/2020 NHS tariffs to assign costs. We constructed an additional cohort, all children born in 2013/2014, to explore any changes over time, comparing the utilisation and costs up to 5 years of age.ResultsOur main cohort comprised 567 347 babies born in 2003/2004, of which we could include 91%. Up to the age of 15 years, children born into the most deprived areas used more hospital services than those born in the least deprived, reflected in higher costs of inpatient, outpatient and ED care. The highest costs and greatest differences are in the year following birth. Comparing this with the later cohort (up to age 5 years), the average cost per child increased across all deprivation deciles, but differences between the most and least deprived deciles appeared to narrow slightly.ConclusionsHealthcare utilisation and costs are consistently higher for children who are born into the most deprived areas compared with the least.

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“…In the international literature, evidence of negative impacts on mental health, well-being, quality of life, behaviour and delinquency and physical health and lifestyle in children and young people by regional poverty/deprivation is reported (23,29,49,50,51). For Germany, several studies already used GISD and were able to demonstrate associations between regional deprivation and different health outcomes (3,10,52,53,54,55).…”

Section: Discussionmentioning

confidence: 99%

Association of prevalence rates of infantine social-emotional developmental risks and regional deprivation in Mecklenburg-Western Pomerania: A plea for regional small-scale data

Ernst,

Hoffmann,

Franze

et al. 2023

Preprint

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Background: Early childhood is essential for a child’s overall development. Twenty to 30%of children are impaired by a lack of needed social and emotional skills when starting school. Children living in socioeconomic deprivation are particularly affected. Early childhood development is determined by family socioeconomic status (SES) and regional socioeconomic aspects. In a preventive early childhood development support program for preschool children in social hotspots,an annual standardized developmental screening (Dortmunder Entwicklungsscreening für den Kindergarten - DESK 3–6 R) was carried out. This study aimed to investigate the association between the prevalence ofpreschool children at risk of social-emotional problems and socioeconomic deprivation in northeast Germany. Methods: Screening data from DESK 3–6 R were linked with the German Index of Socioeconomic Deprivation (GISD) for 2019. For the social-emotional domains ‘social behaviour’, ‘social competence’ and ‘social interaction’ as dependent variables and the GISD score as explanatory variable Generalized Linear Regressions (GLR) and to model spatially varying relationships Local Bivariate Relationships (LBR) were performed within ArcGIS pro 3.1. Results: A total of 147preschools participated, with atotal of 7,836 three- to six-year-old children in 2019. The prevalence of developmental risks for ‘social behavior’ was 14 % (standard deviation (SD) = 13 %), for ‘social competence’ 13 % (SD=12 %) and for ‘social interaction’ 10 % (SD=10 %). For ‘social behavior’ and ‘social interaction’, GLR showed statistically significant coefficients of approximately0.5 but low data fit (explaining only 6.3% of thevariance at max). LBR revealed no relevant association. Conclusions: Contrary to our expectation, we did not observe consistent significant associations between social-emotional developmental risks (measured with DESK) and regional deprivation (operationalized with GISD) of 3- to 6-year-olds attending preschools in social hotspots in Mecklenburg Western-Pomerania. Although the GISD was available on the level of five-digit postal zip codes, due to the relatively low population density, the relatively large administrative units, and the modifiable area unit problem (MAUP), differences in the degree of deprivation are evened out. To reflect the effect of regional differences on individual children, small-scale data with high geographical resolution are needed.

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How does the local area deprivation influence life chances for children in poverty in Wales: A record linkage cohort study

Cited by 7 publications

References 26 publications

Household factors and prevalence of squalor: meta-analysis and meta-regression

Household factors and prevalence of squalor: meta-analysis and meta-regression

Examining the hospital costs of children born into relative deprivation in England

Association of prevalence rates of infantine social-emotional developmental risks and regional deprivation in Mecklenburg-Western Pomerania: A plea for regional small-scale data

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