Evidence map›Paper›PMID 34121783›Full record

ArticleContemporary Jewry2021

Lonely in Lockdown: Predictors of Emotional and Mental Health Difficulties Among Jewish Young Adults during the COVID-19 Pandemic.

Graham Wright, Sasha Volodarsky, Shahar Hecht, Leonard Saxe

Open access · hybridAbstract read
In one paragraph

Article in Contemporary Jewry, 2021. 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
3.0field-weighted citation impact, top 8% 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, 8 citations in OpenAlex.

  1. International journal of environmental research and public health · 2022
    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 2 institutions in 1 country.

Graham WrightBrandeis University, 415 South Street, MS 014, Waltham, MA 02453-2728 USA.ORCID 0000-0002-9280-852X
Sasha VolodarskyNortheastern University, Boston, USA.
Shahar HechtBrandeis University, 415 South Street, MS 014, Waltham, MA 02453-2728 USA.
Leonard SaxeBrandeis University, 415 South Street, MS 014, Waltham, MA 02453-2728 USA.
Brandeis University · USNortheastern University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As individuals undergoing a developmental process characterized by identity exploration, Jewish young adults are particularly vulnerable to the disruption of social connections related to the COVID-19 pandemic. Recent research has demonstrated that young adults, including young Jews, have experienced higher rates of mental health difficulties than older individuals during the pandemic. Using data from a survey of Jewish young adults who applied to participate in Birthright Israel summer 2020 trips but were unable to participate due to the pandemic, we examined the factors contributing to young adults' mental health difficulties. We found that loneliness, rather than financial worries or concerns about the health impacts of COVID-19, was the single most important driver of reported emotional or mental health difficulties. Results also suggested that simply increasing the frequency of contacts between individuals is unlikely to reduce loneliness, unless these are positive, substantial connections, such as those among members of a "social support network." Building and rebuilding deep, meaningful social connections between Jewish young adults should be a top priority for Jewish organizations going forward.

Indexed as

Birthright IsraelCollege studentsCOVID-19Emerging adultsJewish young adultsLonelinessMental healthPandemic

Identifiers

PMID34121783
PMCPMC8186351
OpenAlexW3169744936

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.