Race and Ethnicity, Deprivation, and Infant Mortality in England, 2019-2022.

Importance: England has one of the highest infant mortality rates in Europe. Much of the variation in infant mortality rates between races and ethnicities may be due to socioeconomic factors, but how deprivation and race and ethnicity are associated with infant mortality is unclear. Objectives: To investigate the association of infant race and ethnicity with the infant mortality rate in England, adjusted for preterm birth and level of deprivation. Design, Setting, and Participants: This cohort study included children who died younger than 1 year of age, born at or after 22 weeks' gestation, occurring from April 1, 2019, to March 31, 2022, in England. Characteristics of the infant were derived from death notifications. Exposures: The racial and ethnic groups were derived from National Health Service data and were reported by the parents and characterized using the Office of National Statistics classification: Asian or Asian British (Bangladeshi, Chinese, Indian, Pakistani, or any other Asian background), Black or Black British (African, Caribbean, or any other Black background), multiracial (White and Asian, White and Black African, White and Black Caribbean, or any other multiracial background), White or White British (British, Irish, any other White background, or Gypsy or Irish Traveler), and other (Arab or any other racial or ethnic group). Main Outcomes and Measures: Risk of death for all racial and ethnic groups and relative risk of death compared with the reference group (White) were calcuated. Analyses were repeated, adjusting for deprivation, gestational age of infants, and region of England. Results: A total of 5621 infants who died younger than 1 year of age were reported to the National Child Mortality Database. A total of 2842 of 5130 infants (55.4%) were male; the median gestational age was 33 weeks (IQR, 25-38 weeks); of 5149 infants, 927 (18.0%) were Asian, 448 (8.7%) were Black, 3318 (64.4%) were White, 343 (6.7%) were multiracial, and 113 (2.2%) were from other racial and ethnic groups; and the median deprivation score was 4 (IQR, 3-5). In the unadjusted analysis, the relative risk of death compared with White infants was higher for Black (1.93 [95% CI, 1.75-2.13]) and Asian (1.67 [95% CI, 1.55-1.80]) infants. The population attributable risk fraction for all mortality rates among infants who were not White was 12.0% (95% CI, 10.3%-13.8%) (unadjusted), 9.8% (95% CI, 8.0%-11.7%) (adjusted for deprivation), 7.7% (95% CI, 5.9%-9.5%) (adjusted for gestational age at birth), and 12.8% (95% CI, 11.0%-14.5%) (adjusted for region of England). Conclusions and Relevance: This cohort study suggests that the proportion of infants who died before 1 year of age is associated with race and ethnicity, with a population attributable risk fraction of 12.0%. An overconservative adjustment for deprivation did not explain the overall patterns seen. Approximately half the population attributable risk fraction may be due to increased risk of preterm birth in Asian and Black communities. Work is needed to identify what can be done to reduce this incidence of infant mortality.

Measuring the impact of deprivation on learning difficulties and behaviour among infants born preterm: A cohort study.

BACKGROUND: Preterm birth and social deprivation are known risk factors for learning difficulties. However there has been little work looking into the interaction between these two risks. We aimed to identify if children born preterm to families with higher levels of social deprivation are disproportionately more likely to have learning difficulties than those with lower levels of social deprivation. METHODS: Data from the RANOPS (Respiratory And Neurological Outcomes in children born Preterm Study) was used to assess prevalence of learning difficulties. The effects of preterm birth and deprivation were reviewed. Multi-level logistic regression models were used to examine if gestational age and deprivation impacts interacted after adjustment for possible confounders. Primary outcome measure was parent-reported learning difficulties. Secondary outcome measures were parent-reported behavioural problems and a statement of special educational need. RESULTS: We investigated the developmental outcomes of 6,691 infants with a median age of 5 years at time of survey (IQR 5). Deprivation decile (OR 1.08 (1.03,1.12)) and preterm birth (OR 2.67 (2.02,3.53)) were both associated with increased risk of learning difficulties. There was little evidence for any interaction between preterm birth and deprivation (p = 0.298) and the risk of learning difficulties. CONCLUSIONS: Deprivation and preterm birth have significant associations with learning difficulties. While deprivation does not appear to have potentiated the impact of preterm birth, preterm infants in the most deprived areas have the highest risk of learning difficulties with almost 1 in 3 extremely premature infants with a learning difficulty in the most deprived areas.

What is the relationship between deprivation, modifiable factors and childhood deaths: a cohort study using the English National Child MortalityDatabase.

OBJECTIVES: The aim of this analysis is to identify the patterns of social deprivation and childhood mortality; and identify potential points where public health, social and education interventions, or health policy may be best targeted. DESIGN: Decile of deprivation and underlying population distribution was derived using Office for National Statistics data. The risk of death was then derived using a Poisson regression model, calculating the increasing risk of death for each increasing deprivation decile. SETTING: England. PARTICIPANTS: 2688 deaths before 18 years of age reviewed between April 2019 and March 2020. MAIN OUTCOME MEASURES: The relationship between deprivation and risk of death; for deaths with, and without modifiable factors. RESULTS: There was evidence of increasing mortality risk with increase in deprivation decile, with children in the least deprived areas having a mortality of 13.25 (11.78-14.86) per 100 000 person-years, compared with 31.14 (29.13-33.25) in the most deprived decile (RR 1.08 (95% CI 1.07 to 1.10)); with the gradient of risk stronger in children who died with modifiable factors than those without (RR 1.12 (95% CI 1.09 to 1.15)) vs (RR 1.07 (95% CI 1.05 to 1.08)). Deprivation subdomains of employment, adult education, barriers to housing and services, and indoor living environments appeared to be the most important predictors of child mortality CONCLUSIONS: There is a clear gradient of increasing child mortality across England as measures of deprivation increase; with a striking finding that this varied little by area, age or other demographic factor. Over one-fifth of all child deaths may be avoided if the most deprived half of the population had the same mortality as the least deprived. Children dying in more deprived areas may have a greater proportion of avoidable deaths. Adult employment, and improvements to housing, may be the most efficient place to target resources to reduce these inequalities.