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Inequality-Related Health and Social Factors and Their Impact on Well-Being during the COVID-19 Pandemic: Findings from a National Survey in the UK

Author

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  • Daniel Tzu-Hsuan Chen

    (Public Health Policy Evaluation Unit, School of Public Health, Imperial College London, London W6 8RP, UK)

  • Yi-Jen Wang

    (Public Health Policy Evaluation Unit, School of Public Health, Imperial College London, London W6 8RP, UK
    Department of Family Medicine, Taipei Veterans General Hospital, Taipei 112, Taiwan)

Abstract

Background: Lower socioeconomic groups and disadvantaged populations across the world suffer disproportionately from the coronavirus disease 2019 (COVID-19) pandemic. This study aimed to examine the impact of health- and social-inequality–related factors on well-being in order to further distinguish each of their effects during the pandemic. Methods: A nationally-representative sample of 5077 UK respondents aged 18 years or older was recruited through an online survey panel during the COVID-19 pandemic. Their subjective well-being was measured using the 11-point Cantril Ladder of Life Scale. The impact of inequality-related health and social factors (pre-existing medical conditions, household size and occupation), as well as COVID-19–related risk factors (symptoms, confirmed infections, and social distancing behaviours) on well-being were analysed using multiple linear regression models. The associations between the COVID-19–related risk factors and well-being according to the respondents’ household size and occupation were modelled in order to test the differences by their socioeconomic profile. Results: We identified inverted V-shaped associations between household size and subjective well-being during the COVID-19 pandemic. Compared to single-person households, respondents from households of two to four persons showed better well-being (β = 0.57; CI (0.44, 0.72)), whereas living in crowded households of five persons or more was associated with decreased well-being (β = −0.48; CI (−0.71, −0.25)). Furthermore, lower-skilled occupations (elementary occupations: β = −0.31; CI (−0.58, −0.03); logistics and transport services: β = −0.37; CI (−0.74, −0.01)) and chronic medical conditions (cardiometabolic or respiratory diseases: β = −0.25; CI (−0.41, −0.1); and mental health conditions: β = −1.12; CI (−1.28, −0.96)) were factors associated with reduced well-being during the pandemic. Interactions between a positive COVID-19 diagnosis, symptoms, and crowded households were identified (β = −0.95; CI (−1.76, −0.14) and β = −4.74; CI (−9.87, −1.61), respectively). Conclusions: In a national sample, the levels of general subjective well-being during the COVID-19 pandemic and lockdowns were disproportionately distributed across different groups within society. Preventive policies should explicitly focus on reaching lower socioeconomic groups; more emphasis should be placed on the coordination of multisectoral support in order to tackle existing health and social inequalities.

Suggested Citation

  • Daniel Tzu-Hsuan Chen & Yi-Jen Wang, 2021. "Inequality-Related Health and Social Factors and Their Impact on Well-Being during the COVID-19 Pandemic: Findings from a National Survey in the UK," IJERPH, MDPI, vol. 18(3), pages 1-9, January.
    • Handle: RePEc:gam:jijerp:v:18:y:2021:i:3:p:1014-:d:486012
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    References listed on IDEAS

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    2. Izu Nwachukwu & Nnamdi Nkire & Reham Shalaby & Marianne Hrabok & Wesley Vuong & April Gusnowski & Shireen Surood & Liana Urichuk & Andrew J. Greenshaw & Vincent I.O. Agyapong, 2020. "COVID-19 Pandemic: Age-Related Differences in Measures of Stress, Anxiety and Depression in Canada," IJERPH, MDPI, vol. 17(17), pages 1-10, September.
    3. Ioulia Solomou & Fofi Constantinidou, 2020. "Prevalence and Predictors of Anxiety and Depression Symptoms during the COVID-19 Pandemic and Compliance with Precautionary Measures: Age and Sex Matter," IJERPH, MDPI, vol. 17(14), pages 1-19, July.
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    Cited by:

    1. Bonnie Janzen & Laurie-Ann Hellsten, 2021. "Household Income and Psychological Distress: Exploring Women’s Paid and Unpaid Work as Mediators," IJERPH, MDPI, vol. 18(12), pages 1-15, June.
    2. Jasper Dhoore & Bram Spruyt & Jessy Siongers, 2024. "Locked Down: The Gendered Impact of Social Support on Children’s Well-Being Before and During the COVID-19 Pandemic," Child Indicators Research, Springer;The International Society of Child Indicators (ISCI), vol. 17(1), pages 367-394, February.
    3. Prince Yeboah & Dennis Bomansang Daliri & Ahmad Yaman Abdin & Emmanuel Appiah-Brempong & Werner Pitsch & Anto Berko Panyin & Emmanuel Bentil Asare Adusei & Afraa Razouk & Muhammad Jawad Nasim & Claus , 2021. "Knowledge into the Practice against COVID-19: A Cross-Sectional Study from Ghana," IJERPH, MDPI, vol. 18(24), pages 1-13, December.
    4. Paul M. Ong & Chhandara Pech & Nataly Rios Gutierrez & Vickie M. Mays, 2021. "COVID-19 Medical Vulnerability Indicators: A Predictive, Local Data Model for Equity in Public Health Decision Making," IJERPH, MDPI, vol. 18(9), pages 1-23, April.
    5. Enza Simeone, 2023. "Inequality in health status during the COVID-19 in the UK: does the impact of the second lockdown policy matter?," Working Papers 661, ECINEQ, Society for the Study of Economic Inequality.

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