Evidence map›Paper›PMID 37745425›Full record

ArticlemedRxiv : the preprint server for health sciences2023

Trajectories and correlates of poor mental health in India over the course of the COVID-19 pandemic: a nation-wide survey.

Emma Nichols, Sarah Petrosyan, Pranali Khobragade, Joyita Banerjee, Marco Angrisani, Sharmistha Dey, David E Bloom, Simone Schaner, A B Dey, Jinkook Lee

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Emma NicholsCenter for Economic and Social Research, University of Southern California, Los Angeles, CA, USA.
Sarah PetrosyanCenter for Economic and Social Research, University of Southern California, Los Angeles, CA, USA.
Pranali KhobragadeCenter for Economic and Social Research, University of Southern California, Los Angeles, CA, USA.
Joyita BanerjeeCenter for Economic and Social Research, University of Southern California, Los Angeles, CA, USA.
Marco AngrisaniCenter for Economic and Social Research, University of Southern California, Los Angeles, CA, USA.
Sharmistha DeyAll India Institute of Medical Sciences, New Delhi, India.
David E BloomHarvard School of Public Health, Boston, Massachusetts, USA.
Simone SchanerCenter for Economic and Social Research, University of Southern California, Los Angeles, CA, USA.
A B DeyVenu Geriatric Institute, New Delhi, India.
Jinkook LeeCenter for Economic and Social Research, University of Southern California, Los Angeles, CA, USA.

Funding

Integrting Information About Aging SurveysR01AG030153 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Sara Adar, Alden L. Gross · 2007 to 2026
$41.7M
Leveraging a natural experiment to estimate the causal impact of blood sugar on dementia and cognition in IndiaR01AG051125 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Jinkook Lee · 2015 to 2026
$26.8M
NIA NIH HHS R01 AG030153NIA NIH HHS R01 AG051125
6 · The paper itself

Abstract

Introduction: The COVID-19 pandemic had large impacts on mental health; however, most existing evidence is focused on the initial lockdown period and high-income contexts. By assessing trajectories of mental health symptoms in India over two years, we aim to understand the effect of later time periods and pandemic characteristics on mental health in a lower-middle income context. Methods: We used data from the Real-Time Insights of COVID-19 in India (RTI COVID-India) cohort study (N=3,662). We used covariate-adjusted linear regression models with generalized estimating equations to assess associations between mental health (PHQ-4 score) and pandemic periods as well as pandemic characteristics (COVID-19 cases and deaths, government stringency, self-reported financial impact, COVID-19 infection in the household) and explored effect modification by age, gender, and rural/urban residence. Results: Mental health symptoms dropped immediately following the lockdown period but rose again during the delta and omicron waves. Associations between mental health and later pandemic stages were stronger for adults 45 years of age and older (p<0.001). PHQ-4 scores were significantly and independently associated with all pandemic characteristics considered, including estimated COVID-19 deaths (PHQ-4 difference of 0.041 SD units; 95% Confidence Interval 0.030 - 0.053), government stringency index (0.060 SD units; 0.048 - 0.072), self-reported major financial impacts (0.45 SD units; 0.41-0.49), and COVID-19 infection in the household (0.11 SD units; 0.07-0.16). Conclusion: While the lockdown period and associated financial stress had the largest mental health impacts on Indian adults, the effects of the pandemic on mental health persisted over time, especially among middle-age and older adults. Results highlight the importance of investments in mental health supports and services to address the consequences of cyclical waves of infections and disease burden due to COVID-19 or other emerging pandemics.

Identifiers

PMID37745425
PMCPMC10516061

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LicenceCC BY-NC
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.