The role of financial stress, food insecurity, and COVID-19-related illness concerns shaping mental health in five South Asian countries during the pandemic (2020–2022): A secondary analysis of the online COVID-19 Trends and Impact Survey (CTIS) data

The COVID-19 pandemic has substantially impacted mental health worldwide, yet little attention has been given to its acute and long-term effects on mental health in low- and middle-income countries (LMICs). This study investigates how a triad of pandemic-related worries-financial stress, food insecurity, and COVID-19-related illness concerns-are associated with depression and anxiety across five South Asian LMICs: Bangladesh, India, Nepal, Pakistan, and Sri Lanka. Using data from the COVID-19 Trends and Impact Survey (CTIS), we analyzed responses from over 3.6 million participants collected between June 27, 2020 and June 25, 2022. We employed survey-weighted logistic regression models based on the complete cases (N = 1,062,786), adjusting for demographics and calendar time. Due to a substantial change in the survey design on May 20, 2021, our analysis was divided into two distinct periods: Period 1 (pre-change) and Period 2 (post-change). Our main findings reveal that all three types of pandemic-related worries were significantly associated with increased levels of depression and anxiety across the studied countries. In Period 1, a random-effects meta-analysis showed financial stress had the highest pooled adjusted odds ratio (OR) for depression at 2.41 (95% confidence interval, CI: [2.26, 2.58]), followed by COVID-19-related illness concerns at 1.58 (95% CI: [1.43, 1.75]), and food insecurity at 1.52 (95% CI: [1.40, 1.67]). In Period 2, the pooled adjusted OR for depression increased to 2.74 (95% CI: [2.38, 3.12]) for financial stress, while food insecurity showed a notable rise to 2.42 (95% CI: [2.23, 2.62]). Heterogeneity across countries was substantial ([Formula: see text] ranged from 60.33% to 86.68%), except for the association between food insecurity and depression in Period 2. Country-specific analyses further confirmed these results. Additionally, calendar time, vaccination status, gender, education, and rural-urban residential status modified these associations. These results underscore the need for targeted interventions to address socioeconomic stressors and improve mental health resilience in LMICs.

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Journal
PLOS Global Public Health
Published
2025-08-08
DOI
https://doi.org/10.1371/journal.pgph.0004704
Primary Topic
COVID-19 Pandemic Impacts
Type
article
Field-Weighted Citation Impact
0.00

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article

The role of financial stress, food insecurity, and COVID-19-related illness concerns shaping mental health in five South Asian countries during the pandemic (2020–2022): A secondary analysis of the online COVID-19 Trends and Impact Survey (CTIS) data

Lauren Zimmermann, Youqi Yang, Brian Wahl, Santanu Pramanik et al.
PLOS Global Public Health
COVID-19 Pandemic Impacts
article

The role of financial stress, food insecurity, and COVID-19-related illness concerns shaping mental health in five South Asian countries during the pandemic (2020–2022): A secondary analysis of the online COVID-19 Trends and Impact Survey (CTIS) data

Lauren Zimmermann, Youqi Yang, Brian Wahl, Santanu Pramanik, Bhramar Mukherjee
article en

Abstract

The COVID-19 pandemic has substantially impacted mental health worldwide, yet little attention has been given to its acute and long-term effects on mental health in low- and middle-income countries (LMICs). This study investigates how a triad of pandemic-related worries-financial stress, food insecurity, and COVID-19-related illness concerns-are associated with depression and anxiety across five South Asian LMICs: Bangladesh, India, Nepal, Pakistan, and Sri Lanka. Using data from the COVID-19 Trends and Impact Survey (CTIS), we analyzed responses from over 3.6 million participants collected between June 27, 2020 and June 25, 2022. We employed survey-weighted logistic regression models based on the complete cases (N = 1,062,786), adjusting for demographics and calendar time. Due to a substantial change in the survey design on May 20, 2021, our analysis was divided into two distinct periods: Period 1 (pre-change) and Period 2 (post-change). Our main findings reveal that all three types of pandemic-related worries were significantly associated with increased levels of depression and anxiety across the studied countries. In Period 1, a random-effects meta-analysis showed financial stress had the highest pooled adjusted odds ratio (OR) for depression at 2.41 (95% confidence interval, CI: [2.26, 2.58]), followed by COVID-19-related illness concerns at 1.58 (95% CI: [1.43, 1.75]), and food insecurity at 1.52 (95% CI: [1.40, 1.67]). In Period 2, the pooled adjusted OR for depression increased to 2.74 (95% CI: [2.38, 3.12]) for financial stress, while food insecurity showed a notable rise to 2.42 (95% CI: [2.23, 2.62]). Heterogeneity across countries was substantial ([Formula: see text] ranged from 60.33% to 86.68%), except for the association between food insecurity and depression in Period 2. Country-specific analyses further confirmed these results. Additionally, calendar time, vaccination status, gender, education, and rural-urban residential status modified these associations. These results underscore the need for targeted interventions to address socioeconomic stressors and improve mental health resilience in LMICs.

PLOS Global Public HealthVol. 5(8)
University of Michigan (US), Indian Army (IN), Yale University (US), Michigan United (US)
National Science Foundation
Openalex Percentile: Top 72%
COVID-19 Pandemic Impacts
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