Evidence map›Paper›PMID 34867123›Full record

ArticleInternational journal of mental health and addiction2023

Mental Health During the COVID-19 Pandemic in Japan: Applying Topic Modeling in Daily Life Descriptions.

Yuta Chishima, I-Ting Huai-Ching Liu

Abstract read
In one paragraph

Article in International journal of mental health and addiction, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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.

Yuta ChishimaUniversity of Tsukuba, Tsukuba, Ibaraki 305-8572 Japan.ORCID 0000-0003-2832-769X
I-Ting Huai-Ching LiuRitsumeikan University, Kusatsu, Shiga 525-8577 Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The novel coronavirus disease pandemic is threatening not only physical but also mental health. Although some recent quantitative studies have been conducted and revealed the influence of the pandemic on mental health and its relevant factors, it is impossible to obtain and explore all possible variables strongly related to mental health. Therefore, we attempted to adopt a bottom-up approach using text mining of participants' narratives. We examined how participants' descriptions of daily life during the pandemic were categorized into various topics, and which topics were related to their mental health in a sample of 776 Japanese citizens in the general population over 18 years old. Results of a topic modeling with 2,594 unique words provided nine topics (mask, physical symptoms, children, infection anxiety, disinfection items, economic influence, remote work, going out, and change of lifestyle). Those who wrote about economic influence, physical symptoms, and disinfection items experienced lower life satisfaction and higher depression and negative affect, whereas those who mentioned their children were likely to have higher life satisfaction. This study highlighted that monitoring the mental health of individuals with economic impacts and physical symptoms may reduce the damage of COVID-19. Supplementary Information: The online version contains supplementary material available at 10.1007/s11469-021-00587-y.

Indexed as

COVID-19; Depression; Life satisfaction; Mental health; Text mining; Japan

Identifiers

PMID34867123
PMCPMC8628833

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.