Do regional characteristics predict developmental delay? Analyses of German school entry examination

Background

Children's health and development are strongly linked to their living situation, including their family's socioeconomic position (SEP) and living region. However, research on the impact of the living region on children's development beyond family SEP is scarce. This study evaluated whether rurality and regional socioeconomic deprivation (DEP) are associated with children's development independently of family SEP.

Methods

The study used population-based data of 5-6.5 years old children (n = 22,801) from mandatory school entry examinations (SEE) in the German federal state of Brandenburg, which were examined in 2018/2019. The SEE data have been linked with data on i. rurality that was defined by an inverted population density and ii. regional DEP that were provided by the German Index of Socioeconomic Deprivation. By binary multilevel models, the predictive values of rurality and regional DEP for global developmental delay (GDD) were evaluated, while adjusting for family SEP.

Results

Children with high family SEP showed reduced odds for GDD compared to medium family SEP (female: OR = 4.26, CI95=3.14-5.79, male: OR = 3.46, CI95=2.83-4.22) and low family SEP (female: OR = 16.58, CI95=11.90-23.09, male: OR = 12.79, CI95=10.13-16.16). Regional DEP additionally predicted GDD, with higher odds for children from more deprived regions (female: OR = 1.35, CI95=1.13-1.62, male: OR = 1.20, CI95=1.05-1.39). Rurality did not predict GDD beyond family SEP and regional DEP.

Conclusions

In addition to family SEP, the regional DEP has an effect on children's developmental delay. Hence, Public Health should take into account regional socioeconomic conditions as determinant of health over the life course in addition to family SEP.

Key messages

• Regional socioeconomic deprivation contributes to inequalities in children's development and health.

• Besides family SEP, regional socioeconomic circumstances are of particular interest to promote health over the life course.

[Potentials and limits of aging cohort studies for geriatric psychiatry]

The sizeable number of population-based cohort studies of aging in Germany have provided highly valuable contributions for the specification of risk factors and predictors for frequent mental disorders in old age, especially dementia and depression. The results from these cohort studies enable the specification of mechanisms for the development of and preventative interventions for common mental disorders in old age. On the other hand, there is a significant paucity of clinical cohort studies investigating disease trajectories and possible markers for specific individualized interventions of frequent mental disorders in old age. In this article, we report selected key findings from cohort studies of aging and discuss novel approaches for the integration and harmonization of population-based and clinical cohort studies.