Syndemics theory must take local context seriously: An example of measures for poverty, mental health, and food insecurity

Syndemics theory has provided insight into the ways that disease states and social adversity interact in marginalized populations to further disempower these groups. Yet, until recently, scholars have not identified how we might actually recognize and measure a syndemic, as opposed to a situation where there are multiple but non-interacting diseases present in a population. As researchers like those included in this special issue develop new methods for assessing syndemic interactions in diverse global populations, this short communication argues for the value of locally relevant measures. Poverty, mental health, food insecurity, and type 2 diabetes are used to illustrate the assessment of a potential syndemic from a locally grounded perspective. The discussion emphasizes the insights locally adapted measures can add and what information would be lost without their use.

Automated summary

This article discusses the recognition and measurement of disease interactions, emphasizing the importance of locally relevant measures and illustrating the assessment with examples of poverty, mental health, food insecurity, and type 2 diabetes.