Evidence map›Paper›PMID 36091928›Full record

ArticleReview of economics of the household2023

Robinson Crusoe: less or more depressed? With whom and where to live in a pandemic if you are above 50.

Inés Berniell, Anne Laferrère, Pedro Mira, Elizaveta Pronkina

Open access · bronzeAbstract read
In one paragraph

Article in Review of economics of the household, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.1field-weighted citation impact, top 23% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 7 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 3 institutions in 3 countries.

Inés BerniellCEDLAS - IIE - Universidad Nacional de La Plata, La Plata, Argentina.
Anne LaferrèreUniversité Paris-Dauphine - PSL, Pl Maréchal de Lattre de Tassigny, 75775 Paris Cedex 16, France.
Pedro MiraCEMFI, Madrid, Spain.
Elizaveta PronkinaUniversité Paris-Dauphine - PSL, Pl Maréchal de Lattre de Tassigny, 75775 Paris Cedex 16, France.ORCID 0000-0002-8367-2376
Université Paris Dauphine-PSL · FRCentro de Estudios Monetarios y Financieros · ESUniversidad Nacional de La Plata · AR

Funding

Enhancing the Comparability of SHARE with HRS and ELSAR01AG052527 · NIA · MAX PLANCK INST/SOCIAL LAW/SOCIAL POLICY · PI BOERSCH-SUPAN, AXEL H · 2016 to 2020
$2.1M
NIA NIH HHS HHSN271201300071CNIA NIH HHS R01 AG052527
6 · The paper itself

Abstract

Did the first wave of the COVID-19 epidemic and the various lockdown measures taken by European governments in the spring of 2020 impact individuals aged 50 and over differently according to their living arrangements and housing conditions? Focusing on three indicators of mental well-being, depression, loneliness and trouble sleeping, this paper answers the question using data on Europeans interviewed in the SHARE Corona Survey, fielded right after the first wave of the pandemic in summer 2020, linked longitudinally with two previous waves of SHARE (2013 and 2015). We find that the first wave of the pandemic changed the association between mental health and living arrangements and housing conditions. New to this pandemic period, the mental well-being of those who lived only with a spouse declined relative to the general population aged 50+. Relatedly, there was a protective impact for parents of having (adult) children in the same building as opposed to children, however close, who were not co-residing. Finally, living in cities and in multi-unit housing also led to a decrease in mental well-being relative to the general population aged 50+.

Indexed as

I1J12J14R19

Identifiers

PMID36091928
PMCPMC9440462
OpenAlexW4294405969

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.