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Residential context...
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Brandén, MariaLinköpings universitet,Stockholms universitet,Sociologiska institutionen,Linköping University, Sweden,Institutet för analytisk sociologi, IAS,Filosofiska fakulteten,Demography Unit, Department of Sociology, Stockholm University, Stockholm, Sweden
(author)
Residential context and COVID-19 mortality among adults aged 70 years and older in Stockholm : a population-based, observational study using individual-level data
- Article/chapterEnglish2020
Publisher, publication year, extent ...
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Elsevier,2020
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printrdacarrier
Numbers
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LIBRIS-ID:oai:DiVA.org:su-189387
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https://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-189387URI
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https://doi.org/10.1016/S2666-7568(20)30016-7DOI
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https://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-172879URI
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Language:English
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Summary in:English
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Subject category:ref swepub-contenttype
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Subject category:art swepub-publicationtype
Notes
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The fulltext is published under Creative Commons license CC BY 4.0.https://creativecommons.org/licenses/by/4.0/Funding: Swedish Research Council for Health, Working Life and Welfare (FORTE); Swedish Foundation for Humanities and Social Sciences
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Background Housing characteristics and neighbourhood context are considered risk factors for COVID-19 mortality among older adults. The aim of this study was to investigate how individual-level housing and neighbourhood characteristics are associated with COVID-19 mortality in older adults.Methods For this population-based, observational study, we used data from the cause-of-death register held by the Swedish National Board of Health and Welfare to identify recorded COVID-19 mortality and mortality from other causes among individuals (aged ≥70 years) in Stockholm county, Sweden, between March 12 and May 8, 2020. This information was linked to population-register data from December, 2019, including socioeconomic, demographic, and residential characteristics. We ran Cox proportional hazards regressions for the risk of dying from COVID-19 and from all other causes. The independent variables were area (m2) per individual in the household, the age structure of the household, type of housing, confirmed cases of COVID-19 in the borough, and neighbourhood population density. All models were adjusted for individual age, sex, country of birth, income, and education.Findings Of 279 961 individuals identified to be aged 70 years or older on March 12, 2020, and residing in Stockholm in December, 2019, 274 712 met the eligibility criteria and were included in the study population. Between March 12 and May 8, 2020, 3386 deaths occurred, of which 1301 were reported as COVID-19 deaths. In fully adjusted models, household and neighbourhood characteristics were independently associated with COVID-19 mortality among older adults. Compared with living in a household with individuals aged 66 years or older, living with someone of working age (<66 years) was associated with increased COVID-19 mortality (hazard ratio 1·6; 95% CI 1·3–2·0). Living in a care home was associated with an increased risk of COVID-19 mortality (4·1; 3·5–4·9) compared with living in independent housing. Living in neighbourhoods with the highest population density (≥5000 individuals per km2) was associated with higher COVID-19 mortality (1·7; 1·1–2·4) compared with living in the least densely populated neighbourhoods (0 to <150 individuals per km2).Interpretation Close exposure to working-age household members and neighbours is associated with increased COVID-19 mortality among older adults. Similarly, living in a care home is associated with increased mortality, potentially through exposure to visitors and care workers, but also due to poor underlying health among care-home residents. These factors should be considered when developing strategies to protect this group.
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Aradhya, SiddarthaStockholms universitet,Sociologiska institutionen,Demography Unit, Department of Sociology, Stockholm University, Stockholm, Sweden(Swepub:su)siar4055
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Kolk, MartinStockholms universitet,Sociologiska institutionen,Demography Unit, Department of Sociology, Stockholm University, Stockholm, Sweden; Institute for Futures Studies, Stockholm, Sweden(Swepub:su)mkolk
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Härkönen, JuhoStockholms universitet,Sociologiska institutionen,Demography Unit, Department of Sociology, Stockholm University, Stockholm, Sweden; Department of Political and Social Sciences, European University Institute, San Domenico di Fiesole, Italy(Swepub:su)jhr
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Drefahl, SvenStockholms universitet,Sociologiska institutionen,Demography Unit, Department of Sociology, Stockholm University, Stockholm, Sweden(Swepub:su)sdref
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Malmberg, BoStockholms universitet,Kulturgeografiska institutionen,Department of Human Geography, Stockholm University, Stockholm, Sweden(Swepub:su)bmalm
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Rostila, MikaelStockholms universitet,Centrum för forskning om ojämlikhet i hälsa (CHESS),Department of Public Health Sciences, Stockholm University, Stockholm, Sweden; Centre for Health Equity Studies, Stockholm University and Karolinska Institutet, Stockholm, Sweden(Swepub:su)rosti
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Cederström, AgnetaStockholms universitet,Centrum för forskning om ojämlikhet i hälsa (CHESS),Department of Public Health Sciences, Stockholm University, Stockholm, Sweden; Centre for Health Equity Studies, Stockholm University and Karolinska Institutet, Stockholm, Sweden(Swepub:su)agced
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Andersson, GunnarStockholms universitet,Sociologiska institutionen,Demography Unit, Department of Sociology, Stockholm University, Stockholm, Sweden;(Swepub:su)gande
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Mussino, EleonoraStockholms universitet,Sociologiska institutionen,Demography Unit, Department of Sociology, Stockholm University, Stockholm, Sweden(Swepub:su)emuss
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Stockholms universitetSociologiska institutionen
(creator_code:org_t)
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In:The Lancet Healthy Longevity: Elsevier1:2, s. e80-e882666-7568
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Brandén, Maria
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Aradhya, Siddart ...
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