Data_Propensity to Childhood Anxiety and Depression Due to Exposure to Adversity

Published: 11 December 2024| Version 1 | DOI: 10.17632/gzggks7t7p.1
Contributor:
Angélica Cidália Gouveia dos Santos

Description

To construct a composite indicator of propensity to childhood anxiety and depression due to exposure to adversity this study adopts as an external variable percentage of the population of children and adolescents who have difficulty in the field of anxiety and depression and three dimensions for the construction of the composite indicator of propensity to anxiety and childhood depression. The proposed dimensions group and synthesize factors related to socioeconomic conditions, vulnerability, and risk/insecurity to represent exposure to adversity that affects children and adolescents. The socioeconomic dimension incorporates factors related to the income level of the countries, the level of education of parents and children/adolescents, the possession of material goods, and health insurance. The vulnerability dimension aggregates factors related to the parent's perception of the evolution of living conditions and happiness and the presence of parents in the children's daily lives. The risk/insecurity dimension comprises factors related to domestic violence, living in violent places, performing domestic tasks or working in unfavorable conditions, and exposure to discrimination. The databases obtained from UNICEF (https://mics.unicef.org/surveys) and are publicly available upon registration and access approval. These databases were extracted from a large global research project in low- and middle-income countries called the Multiple Indicator Cluster Surveys. The Multiple Indicator Cluster Surveys program provides statistically robust and internationally comparable data on children and women worldwide. Data from the sixth edition of the Multiple Indicator Cluster Surveys (Round 6), where data from 54 countries were available. As the surveys are conducted under the conditions of each country, the data provided refer to different periods collected between 2017 and 2023.

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Mental Health, Indicator Analysis

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