Impact of pandemic-related worries on mental health in India from 2020 to 2022 DOI Creative Commons
Youqi Yang, Anqi Sun, Lauren Zimmermann

et al.

npj Mental Health Research, Journal Year: 2024, Volume and Issue: 3(1)

Published: Nov. 24, 2024

This study examines how pandemic-related worries affected mental health in India's adults from 2020 to 2022. Using data the Global COVID-19 Trends and Impact Survey (N = 2,576,174), it explores associations between worry variables (financial stress, food insecurity, COVID-19-related worries) self-reported symptoms of depression anxiety. Our analysis, based on complete cases 747,996), used survey-weighted models, adjusting for demographics calendar time. The finds significant these outcomes, with financial stress being most factor affecting both (adjusted odds ratio, aOR: 2.36; 95% confidence interval, CI: [2.27, 2.46]) anxiety (aOR: 1.91; [1.81, 2.01])). Models interaction terms revealed gender, residential status, time as effect modifiers. demonstrates that social media platforms like Facebook can effectively gather large-scale survey track trends during public crises.

Language: Английский

Artificial intelligence for modelling infectious disease epidemics DOI
Moritz U. G. Kraemer, Joseph L.-H. Tsui, Serina Chang

et al.

Nature, Journal Year: 2025, Volume and Issue: 638(8051), P. 623 - 635

Published: Feb. 19, 2025

Language: Английский

Citations

5
Mental Health Trends in India from 2020 to 2022: Association with Financial Stress, Food Insecurity, and COVID-19-related Illness Concerns DOI Creative Commons
Youqi Yang, Anqi Sun, Lauren Zimmermann

et al.

medRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: March 18, 2024

Abstract This study examines the impact of pandemic-related worries on mental health in Indian general adult population from 2020 to 2022. Using data Global COVID-19 Trends and Impact Survey (N = 2,576,174 respondents aged ≥ 18 years India; an average weekly sample size around 25,000), it explores associations between worry variables (namely financial stress, food insecurity, COVID-19-related worries) self-reported symptoms depression nervousness. The statistical analysis was conducted using complete cases only 747,996). Our used survey-weighted models, focusing three as exposures, while also adjusting for various other covariates, including demographics calendar time. finds significant these outcomes, with stress being most factor affecting both (adjusted odds ratio: 2.36, 95% confidence interval: [2.27, 2.46]) nervousness 1.91, [1.81, 2.01]) during first phase period (June 27, 2020, May 19, 2021). fully adjusted models identify additional factors related health, age, gender, residential status, geographical region, occupation, education. Moreover, research highlights that males urban residents had higher ratios problems regarding than females rural residents, respectively. Furthermore, reveals a rise prevalence their association lethal second wave pandemic 2021 compared onset pandemic. shows social media platforms like Facebook can deploy surveys large number participants globally be useful tools capturing trends uncovering public crisis.

Language: Английский

Citations

0
Real-World Data Versus Probability Surveys for Estimating Health Conditions at the State Level DOI
David A. Marker,

Charity Hilton,

Jacob Zelko

et al.

Journal of Survey Statistics and Methodology, Journal Year: 2024, Volume and Issue: 12(5), P. 1515 - 1530

Published: Sept. 28, 2024

Abstract Government statistical offices worldwide are under pressure to produce statistics rapidly and for more detailed geographies, compete with unofficial estimates available from web-based big data sources or private companies. Commonly suggested of improved health information electronic records medical claims data. These collectively known as real-world (RWD) because they generated routine care processes, millions patients. It is clear that RWD can provide timely less expensive produce—but a key question whether not very accurate. To test this, we took advantage unique source includes full range sociodemographic variables compared using all those potential weighting versus derived when only age sex (as common most sources). We show accounting other misleading quite inaccurate estimates.

Language: Английский

Citations

0
Impact of pandemic-related worries on mental health in India from 2020 to 2022 DOI Creative Commons
Youqi Yang, Anqi Sun, Lauren Zimmermann

et al.

npj Mental Health Research, Journal Year: 2024, Volume and Issue: 3(1)

Published: Nov. 24, 2024

This study examines how pandemic-related worries affected mental health in India's adults from 2020 to 2022. Using data the Global COVID-19 Trends and Impact Survey (N = 2,576,174), it explores associations between worry variables (financial stress, food insecurity, COVID-19-related worries) self-reported symptoms of depression anxiety. Our analysis, based on complete cases 747,996), used survey-weighted models, adjusting for demographics calendar time. The finds significant these outcomes, with financial stress being most factor affecting both (adjusted odds ratio, aOR: 2.36; 95% confidence interval, CI: [2.27, 2.46]) anxiety (aOR: 1.91; [1.81, 2.01])). Models interaction terms revealed gender, residential status, time as effect modifiers. demonstrates that social media platforms like Facebook can effectively gather large-scale survey track trends during public crises.

Language: Английский

Citations

0