Dataset Information

Association between area deprivation index and concerns to COVID-19: A multi-level analysis of individual and area factors.

ABSTRACT:

Background

The coronavirus disease 2019 (COVID-19) pandemic has been one of the most serious global threats to public health recently. The present study examined whether area deprivation is associated with concerns related to COVID-19 using large nationwide data across South Korea.

Methods

We used nationwide 2020 Korea Community Health Survey and official government database. Of the 225,680 included participants, 123,324 (54.6%) were women, and the mean age was 54.9 [17.8] years old. We classified the Area deprivation index (ADI) into Quartile 1 (Least deprived); Quartile 2; Quartile 3; and Quartile 4 (Most deprived). Our primary outcome was the concerns related to COVID-19 (0-16 scores). Multilevel regression analysis was conducted.

Results

The mean score of concerns related to COVID-19 was 11.3 [3.2] in the total population. 13.5% of the variability in the scores of concerns related to COVID-19 was accounted for by district areas. Area with Q4 of ADI were associated with an increased score of concerns related to COVID-19 (Q1: reference; Q2: β = 0.218, SE = 0.119, FDR adj.p-value = 0.085; Q3: β = 0.235, SE = 0.133, FDR adj.p-value = 0.094; Q4: β = 0.252, SE = 0.109, FDR adj.p-value = 0.029). 19-49 groups in area with Q4 of ADI were associated with an increase in scores of concerns related to COVID-19 than other age groups in area with Q4 of ADI. Area with Q4 of ADI were associated with a score of concern of being criticized if getting infected compared to area with Q1 of ADI.

Conclusion

We found that the highest quartile ADI was associated with greater concerns related to COVID-19. By identifying vulnerable population to concerns related to COVID-19, health systems may consider preventive intervention to mitigate mental health issues.

SUBMITTER: Lee DW

PROVIDER: S-EPMC10818255 | biostudies-literature | 2024 Mar

REPOSITORIES: biostudies-literature

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Publications

Association between area deprivation index and concerns to COVID-19: A multi-level analysis of individual and area factors.

Lee Doo Woong DW Jang Jieun J Shin Jaeyong J

SSM - population health 20231224

<h4>Background</h4>The coronavirus disease 2019 (COVID-19) pandemic has been one of the most serious global threats to public health recently. The present study examined whether area deprivation is associated with concerns related to COVID-19 using large nationwide data across South Korea.<h4>Methods</h4>We used nationwide 2020 Korea Community Health Survey and official government database. Of the 225,680 included participants, 123,324 (54.6%) were women, and the mean age was 54.9 [17.8] years o ...[more]

PMID: 38283539

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Project description:BackgroundHIV-HCV coinfected individuals are often more deprived than the general population. However, deprivation is difficult to measure, often relying on aggregate data which does not capture individual heterogeneity. We developed an individual-level deprivation index for HIV-HCV co-infected persons that encapsulated social, material, and lifestyle factors.MethodsWe estimated an individual-level deprivation index with data from the Canadian Coinfection Cohort, a national prospective cohort study. We used a predetermined process to select 9 out of 19 dichotomous variables at baseline visit to include in the deprivation model: income >$1500/month; education >high school; employment; identifying as gay or bisexual; Indigenous status; injection drug use in last 6 months; injection drug use ever; past incarceration, and past psychiatric hospitalization. We fitted an item response theory model with: severity parameters (how likely an item was reported), discriminatory parameters, (how well a variable distinguished index levels), and an individual parameter (the index). We considered two models: a simple one with no provincial variation and a hierarchical model by province. The Widely Applicable Information Criterion (WAIC) was used to compare the fitted models. To showcase a potential utility of the proposed index, we evaluated with logistic regression the association of the index with non-attendance to a second clinic visit (as a proxy for disengagement) and using WAIC compared it to a model containing all the individual parameters that compose the index as covariates.ResultsWe analyzed 1547 complete cases of 1842 enrolled participants. According to the WAIC the hierarchical model provided a better fit when compared to the model that does not consider the individual's province. Values of the index were similarly distributed across the provinces. Overall, past incarceration, education, and unemployment had the highest discriminatory parameters. However, in each province different components of the index were associated with being deprived reflecting local epidemiology. For example, Saskatchewan had the highest severity parameter for Indigenous status while Quebec the lowest. For the secondary analysis, 457 (30%) failed to attend a second visit. A one-unit increase in the index was associated with 17% increased odds (95% credible interval, 2% to 34%) of not attending a second visit. The model with just the index performed better than the model with all the components as covariates in terms of WAIC.ConclusionWe estimated an individual-level deprivation index in the Canadian Coinfection cohort. The index identified deprivation profiles across different provinces. This index and the methodology used may be useful in studying health and treatment outcomes that are influenced by social disparities in co-infected Canadians. The methodological approach described can be used in other studies with similar characteristics.

Dataset Information

Association between area deprivation index and concerns to COVID-19: A multi-level analysis of individual and area factors.

Background

Methods

Results

Conclusion

Publications

Association between area deprivation index and concerns to COVID-19: A multi-level analysis of individual and area factors.

Similar Datasets

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