Evidence map›Paper›PMID 38393649›Full record

ArticleCulture, medicine and psychiatry2024

Seesaw Precarity: Journaling Anxious Hope on a Chinese University Campus During Covid-19.

Katherine A Mason, Jianmei Xie

Abstract read
In one paragraph

Article in Culture, medicine and psychiatry, 2024. 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
–field-weighted citation impact
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.

  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

2 authors.

Katherine A Mason *Department of Anthropology and Population Studies and Training Center, Brown University, Box 1921, Providence, RI, 02912, USA. katemason@brown.edu.ORCID http://orcid.org/0000-0003-1628-4207
Jianmei Xie *School of Foreign Languages, Guangdong Polytechnic Normal University, Guangzhou, China.

Funding

Science/Technical CoreP2CHD041020 · NICHD · BROWN UNIVERSITY · PI ZHENCHAO QIAN · 2016 to 2026
$7.6M
NICHD NIH HHS P2C HD041020NIH HHS P2C HD041020
6 · The paper itself

Abstract

In this article, we examine the Covid-19 experiences of a group of Chinese university students studying in the city of Guangzhou. We draw on journal entries that Chinese students submitted to the Pandemic Journaling Project between March and May 2022, along with follow-up responses in July and December 2022, to argue that these students spent most of their undergraduate years living in a state of "seesaw precarity." We define seesaw precarity as a protracted period during which many Chinese were unable to predict from one day to the next whether they would be free to engage in the quotidian activities of everyday life. We trace student reactions and adaptations as they struggled to attend class, buy food, and see friends and family in the midst of unpredictable swings between openness and closedness. The seesaw nature of restrictions spurred considerable anxiety among the students we followed, but also produced an optimistic mindset we refer to as "anxious hope." Participants accepted the necessity of Covid controls and felt it was incumbent upon them as individuals to adjust to this reality. They saw themselves as responsible for actively cultivating a positive mindset. Our findings suggest that the promotion of emotional self-care and anxious hope during the pandemic may have supported the viability of long-term controls as well as the acceptability of their sudden abandonment, while muting the possibility of resistance.

Indexed as

AnxietyCOVID-19HopeStudentsAdultChinaFemaleHumansMaleSARS-CoV-2UniversitiesYoung AdultAnxious hopeChinaCovid-19Seesaw precaritySelf-care

Identifiers

PMID38393649
PMCPMC11769575

What OpenQuestion holds

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LicenceTDM
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.