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Stress Due to Inflation: Changes over Time, Correlates, and Coping Strategies among Working-Age Adults in the United States

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  • Sophie Mitra

    (Department of Economics, Fordham University, 441 East Fordham Road, Bronx, NY 10458, USA)

  • Chan Shen

    (Department of Surgery, Penn State Cancer Institute, Hershey, PA 17033, USA)

  • Jahnavi Pinnamraju

    (Department of Pharmacotherapy, College of Pharmacy, University of North Texas Health Science Center, Fort Worth, TX 76107, USA)

  • R. Constance Wiener

    (Department of Pharmacotherapy, College of Pharmacy, University of North Texas Health Science Center, Fort Worth, TX 76107, USA
    Department of Dental Public Health and Professional Practice, West Virginia University, Morgantown, WV 26506, USA)

  • Hao Wang

    (Department of Emergency Medicine, JPS Health Network, Integrative Emergency Services, Fort Worth, TX 76104, USA)

  • Mona Pathak

    (Department of Pharmacotherapy, College of Pharmacy, University of North Texas Health Science Center, Fort Worth, TX 76107, USA)

  • Patricia A. Findley

    (School of Social Work, Rutgers University, New Brunswick, NJ 08901, USA)

  • Usha Sambamoorthi

    (Department of Pharmacotherapy, College of Pharmacy, University of North Texas Health Science Center, Fort Worth, TX 76107, USA)

Abstract

Background: During the COVID-19 pandemic, the annual US inflation rate increased from 1.2% in July 2020 to 8% in July 2022. It has since declined to 3.4% (December 2023). This study examined the prevalence of stress due to inflation during a period when it declined from 8.2% in September 2022 to 3% in June 2023 and its association with demographic and social determinants of health (SDOH). Methods: We conducted a cross-sectional analysis of the online Household Pulse Survey (HPS), which surveils the experiences of US households. Beginning September 2022, HPS initiated data collection on “stress due to inflation” through a question on how stressful the increase in prices in the last 2 months has been. Participants could respond: very, moderately, a little, or not stressful. We analyzed data on working-age adults (18–64 years) who responded to the above question of stress due to inflation during 14–26 September 2022 (N = 32,579) and 7–19 June 2023 (N = 36,229). We used replicate weights in chi-squared tests and ordinal logistic regression analyses controlling for gender, age, race and ethnicity, COVID-19, COVID-19 vaccination, health insurance, and SDOH, including education, lost employment income, poverty status, marital status, food affordability, and region. Results: The prevalence of stress due to inflation (price increases being very or moderately stressful) significantly increased from 76.9% in September 2022 to 78.9% in June 2023. The odds of stress due to inflation were higher for individuals with the following characteristics: female, transgender, having income below 400% of the federal poverty line, having lost employment income, not being able to afford food, had long or acute COVID-19, and did not have a COVID-19 vaccine. Conclusions: More than three quarters of working-age adults in the US experienced stress due to inflation. Despite a declining national inflation rate in recent months, stress due to inflation has significantly increased among working-age adults. Inflation-related stress warrants further research and policy attention.

Suggested Citation

  • Sophie Mitra & Chan Shen & Jahnavi Pinnamraju & R. Constance Wiener & Hao Wang & Mona Pathak & Patricia A. Findley & Usha Sambamoorthi, 2024. "Stress Due to Inflation: Changes over Time, Correlates, and Coping Strategies among Working-Age Adults in the United States," IJERPH, MDPI, vol. 21(2), pages 1-16, January.
  • Handle: RePEc:gam:jijerp:v:21:y:2024:i:2:p:157-:d:1329820
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    References listed on IDEAS

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    1. Philip Barrett & Sonali Das & Giacomo Magistretti & Evgenia Pugacheva & Philippe Wingender, 2023. "Long COVID? Prospects for economic scarring from the pandemic," Contemporary Economic Policy, Western Economic Association International, vol. 41(2), pages 227-242, April.
    2. Claudia Andrade & Martie Gillen & José Alberto Molina & Melissa J. Wilmarth, 2022. "The Social and Economic Impact of Covid-19 on Family Functioning and Well-Being: Where do we go from here?," Journal of Family and Economic Issues, Springer, vol. 43(2), pages 205-212, June.
    3. Damjan Pfajfar & Emiliano Santoro, 2013. "News on Inflation and the Epidemiology of Inflation Expectations," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 45(6), pages 1045-1067, September.
    4. Doepke Joerg & Dovern Jonas & Fritsche Ulrich & Slacalek Jiri, 2008. "The Dynamics of European Inflation Expectations," The B.E. Journal of Macroeconomics, De Gruyter, vol. 8(1), pages 1-23, March.
    5. Müller, Henrik & Schmidt, Tobias & Rieger, Jonas & Hornig, Nico & Hufnagel, Lena Marie, 2023. "The inflation attention cycle: Updating the Inflation Perception Indicator (IPI) up to February 2023. A research note," DoCMA Working Papers 13, TU Dortmund University, Dortmund Center for Data-based Media Analysis (DoCMA).
    6. Wasiq Khan & Bilal M. Khan & Salwa Yasen & Ahmed Al-Dahiri & Dhiya Al-Jumeily & Khalil Dajani & Abir Hussain, 2022. "COVID-19 Vaccination and Mental Stress within Diverse Sociodemographic Groups," IJERPH, MDPI, vol. 19(19), pages 1-19, October.
    7. Olivier Armantier & Wändi Bruine de Bruin & Julie S. Downs & Baruch Fischhoff & Giorgio Topa & Wilbert Van der Klaauw, 2010. "The effect of question wording on reported expectations and perceptions of inflation," Staff Reports 443, Federal Reserve Bank of New York.
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