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Dataset Information

Socio-geographical disparities in cardiometabolic multimorbidity in Sweden: an Intersectional Multilevel Analysis of Individual Heterogeneity and Discriminatory Accuracy (I-MAIHDA).


ABSTRACT:

Background

Mapping social and geographical disparities in health outcomes helps to identify vulnerable groups that should be targeted for intervention. This study aims to assess the disparities in cardiometabolic multimorbidity, the presence of at least two cardiometabolic diseases (CMD), including type 2 diabetes, heart disease, and stroke, among middle-aged adults across socio-geographical intersectional strata in Sweden.

Methods

This cross-sectional study used the first examination (2013-2018) of the Swedish CArdioPulmonary bioImage Study (SCAPIS), with a total sample of 29,093 individuals aged 50-64 years living in six areas in Sweden (Gothenburg, Linköping, Malmö/Lund, Stockholm, Umeå and Uppsala). Cardiometabolic multimorbidity was identified based on self-reported inf

SUBMITTER: Anindya K 

PROVIDER: S-EPMC12584395 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature