A vertical-horizontal approach to examine social inequalities in early onset type 2 diabetes in the German workforce through occupational sector, education and income

  • 0Medical Sociology Unit, Hannover Medical School, OE 5420 Carl-Neuberg-Street 1, 30625, Hannover, Germany. Safieddine.Batoul@mh-hannover.de.

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Summary

This summary is machine-generated.

Early onset type 2 diabetes (T2D) risk is linked to both job type and socioeconomic status. Low education in transport and health sectors showed the highest vulnerability to T2D.

Area Of Science

  • Public Health
  • Epidemiology
  • Socioeconomic Determinants of Health

Background

  • Early onset type 2 diabetes (T2D) presents a growing public health challenge, leading to severe complications and reduced quality of life.
  • Socioeconomic status, encompassing education, income, and occupation, significantly influences T2D risk.
  • Existing research often overlooks the intersection of vertical (education, income) and horizontal (occupation) inequalities in T2D vulnerability.

Purpose Of The Study

  • To investigate vulnerable groups within the employed population concerning early onset type 2 diabetes.
  • To analyze the combined impact of vertical (education, income) and horizontal (occupational sector) inequalities on early onset T2D risk.
  • To identify specific occupational sectors and socioeconomic strata most affected by early onset T2D.

Main Methods

  • Utilized data from a large statutory health insurance provider in Lower Saxony, Germany (AOKN) for 2019 (N=365,059).
  • Employed logistic regression analyses to examine education and income inequalities across nine occupational sectors.
  • Applied regression tree analysis to explore the intersectionality of vertical and horizontal dimensions for identifying vulnerable groups.

Main Results

  • Both vertical and horizontal inequalities contribute to early onset T2D prevalence in the employed population.
  • Significant disparities in T2D prevalence were observed within similar education and income levels across different occupational sectors.
  • Occupational sector emerged as the primary determinant of vulnerability, followed by educational attainment, with low-educated individuals in "Transport, logistics, protection and security" and "Health, social work, teaching, and education" sectors being most at risk.

Conclusions

  • Simultaneous examination of vertical and horizontal inequalities is crucial for identifying at-risk populations in the workforce.
  • Occupational affiliation plays a key role in early onset T2D vulnerability, intersecting with socioeconomic factors.
  • Future research should adopt a combined approach to explore diverse populations and health outcomes related to socioeconomic disparities.

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