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A Modified Trier Social Stress Test for Vulnerable Mexican American Adolescents

A Modified Trier Social Stress Test for Vulnerable Mexican American Adolescents

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Social vulnerability indices: a scoping review.

Jasmine Cassy Mah^1,2, Jodie Lynn Penwarden³, Henrique Pott^3,4

¹Department of Medicine, Dalhousie University, Halifax, NS, Canada. jmah@dal.ca.

BMC Public Health

|June 28, 2023

Summary

This scoping review maps social vulnerability indices (SVIs) used in research. It found common domains like at-risk populations, education, and socioeconomic status, highlighting SVIs' interdisciplinary potential for predicting outcomes.

Keywords:

Climate Disaster planning Environment Indices Social vulnerability Social vulnerability index Tools

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Area of Science:

Social sciences
Environmental science
Health sciences

Background:

Social vulnerability arises from social disadvantages impacting risk from health, environmental, or societal events.
Social Vulnerability Indices (SVIs) aggregate social factors to estimate vulnerability.
This review maps the existing literature on the development and utilization of SVIs.

Purpose of the Study:

To characterize social vulnerability indices (SVIs).
To understand the composition of SVIs.
To describe how SVIs are utilized across different research fields.

Main Methods:

A comprehensive scoping review of six electronic databases was conducted.
Studies were screened for eligibility, focusing on the development or use of SVIs.
Data extraction and narrative synthesis were employed to summarize findings.

Main Results:

292 studies were included, with a significant number from environmental (126) and health (156) fields.
SVIs typically comprised 19 items, often sourced from census data.
Key domains included at-risk populations, education, and socioeconomic status; SVIs predicted outcomes in 47.9% of studies, notably COVID-19 impacts.

Conclusions:

This review offers a novel summary of commonly used variables in SVIs up to December 2021.
SVIs are increasingly prevalent across diverse research fields, particularly since 2010.
Consistent composition and application of SVIs across disciplines suggest their value as interdisciplinary tools for outcome prediction.