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Effect of Housing Quality on the Mental Health of University Students during the Covid-19 Lockdown

Bibliographic Data

ID15465495
AuthorsAlessandro Morganti (0000-0002-7835-8956, Politecnico di Milano), Andrea Brambilla (0000-0001-7891-0336, Politecnico di Milano), Andrea Aguglia (0000-0002-2003-2101, Ospedale Policlinico San Martino), Andrea Amerio (0000-0002-3439-340X, Ospedale Policlinico San Martino), Norberto Miletto (Ospedale Policlinico San Martino), Nicolò Parodi (Ospedale Policlinico San Martino), Chiara Porcelli (Ospedale Policlinico San Martino), Anna Odone (0000-0002-5657-9774, University of Pavia), Alessandra Costanza (0000-0001-6387-6462, University of Geneva), Carlo Signorelli (0000-0002-0960-9563, Vita-Salute San Raffaele University), Gianluca Serafini (0000-0002-6631-856X, Ospedale Policlinico San Martino, corresponding author), Mario Amore (0000-0003-2927-2192, Ospedale Policlinico San Martino), Stefano Capolongo (0000-0002-4679-9829, Politecnico di Milano)
Year2022
Volume19
Issue5
Pages2918-2918
Publication date2022-03-02
Open AccessYes
TypeARTICLE
VenueInternational Journal of Environmental Research and Public Health (JOURNAL)
Journal identifiersISSN: 1661-7827 • E-ISSN: 1660-4601
PublisherMultidisciplinary Digital Publishing Institute (PUBLISHER • CH)
DOI10.3390/ijerph19052918
PMID35270609
OpenAlexW4214941077
LanguageEN
Citations received11
References cited49

COVID-19 outbreak imposed rapid and severe public policies that consistently impacted the lifestyle habits and mental health of the general population. Despite vaccination, lockdown restrictions are still considered as potential measures to contrast COVID-19 variants spread in several countries. Recent studies have highlighted the impacts of lockdowns on the population's mental health; however, the role of the indoor housing environment where people spent most of their time has rarely been considered. Data from 8177 undergraduate and graduate students were collected in a large, cross-sectional, web-based survey, submitted to a university in Northern Italy during the first lockdown period from 1 April to 1 May 2020. Logistic regression analysis showed significant associations between moderate and severe depression symptomatology (PHQ-9 scores ≥ 15), and houses with both poor indoor quality and small dimensions (OR = 4.132), either medium dimensions (OR = 3.249) or big dimensions (OR = 3.522). It was also found that, regardless of housing size, poor indoor quality is significantly associated with moderate-severe depressive symptomatology. Further studies are encouraged to explore the long-term impact of built environment parameter modifications on mental health, and therefore support housing and public health policies

Coronavirus disease 2019 (COVID-19 · Cross-sectional study · Depression (economics · Environmental health · Logistic regression · Mental health · Population · Psychiatry · Public health · Quality (philosophy · Sociology · COVID-19 and Mental Health · Demography · Health disparities and outcomes · Medicine · Nursing · Psychology · Urban Green Space and Health · Gerontology

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Citations per year2.75
Citation span2022 - 2026 (5)
Highly citedNo

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