Evidence map›Paper›PMID 35416403›Full record

ArticleInternational journal of mental health nursing2022

The effects of changes in daily life due to the COVID-19 pandemic on the depressive symptoms among community-dwelling older adults in Korea.

Hanyi Lee, Hyeon Sik Chu

Abstract read
In one paragraph

Article in International journal of mental health nursing, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
–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

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. 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.

Hanyi LeeCollege of Nursing, Hanyang University, Seoul, South Korea.ORCID https://orcid.org/0000-0001-8721-0390
Hyeon Sik ChuCollege of Nursing, Hanyang University, Seoul, South Korea.ORCID https://orcid.org/0000-0002-6918-4296

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aims to identify the effects of daily life changes due to the coronavirus disease 2019 pandemic on the depressive symptoms among community-dwelling older adults. This cross-sectional and secondary data analysis study collected and analysed the data of 72 335 older adults aged older than 65 who participated in the 2020 Korean Community Health Survey. Changes in daily life due to the coronavirus disease 2019 pandemic were measured by changes in physical activity, sleep duration, consumption of instant foods or soda drinks, alcohol consumption, smoking, and social contact compared to before the pandemic as perceived by the participants. The Patient Health Questionnaire-9 was used to assess depressive symptoms, and multiple logistic regression analysis was conducted to explore the relationship between the two. After adjusting for socio-demographic and health-related factors, changes in daily life due to the coronavirus disease 2019 pandemic that affected depressive symptoms in older adults living in the community were observed. This study confirmed that changes in daily life due to the coronavirus disease 2019 pandemic negatively affected the mental health of older adults. Thus, there is a need to improve social support and care systems, by including non-face-to-face programmes using remote communication technology. It will allow older adults to maintain their daily lives and mental health during the COVID-19 pandemic.

Indexed as

COVID-19AgedCross-Sectional StudiesDepressionHumansIndependent LivingPandemicsRepublic of Koreaagedcommunity health surveyCOVID-19depressive symptompandemics

Identifiers

PMID35416403
PMCPMC9111562

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.