Evidence map›Paper›PMID 35500905›Full record

ArticlePsychiatry investigation2022

Changing Seasonal Pattern of Suicides in Korea Between 2000 and 2019.

Hee Jung Nam, Hyun-Bo Sim, Ju-Yeon Lee, Sung-Wan Kim, Jae-Min Kim, Seunghyong Ryu

Open access · diamondAbstract read
In one paragraph

Article in Psychiatry investigation, 2022. 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
0.8field-weighted citation impact, top 29% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Review
  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

6 authors at 2 institutions in 1 country.

Hee Jung NamDepartment of Psychiatry, Seoul Medical Center, Seoul, Republic of Korea.
Hyun-Bo SimDepartment of Psychiatry, Seoul Medical Center, Seoul, Republic of Korea.
Ju-Yeon LeeDepartment of Psychiatry, Chonnam National University Medical School, Gwangju, Republic of Korea.
Sung-Wan KimDepartment of Psychiatry, Chonnam National University Medical School, Gwangju, Republic of Korea.
Jae-Min KimDepartment of Psychiatry, Chonnam National University Medical School, Gwangju, Republic of Korea.
Seunghyong RyuDepartment of Psychiatry, Chonnam National University Medical School, Gwangju, Republic of Korea.
Chonnam National University · KRSeoul Medical Center · KR

Funding

Chonnam National University Hospital Biomedical Research Institute BCRI20009
6 · The paper itself

Abstract

objectiveThis study aimed to investigate the changing seasonal pattern of suicides in Korea between 2000 and 2019.

methodsWe calculated a seasonal pattern of suicides between 2000 and 2019 using a non-stationary cosinor model. In addition, we estimated the effect of each month on the suicide incidence compared to a reference month, using a generalized linear model with a categorical variable of the month. Then, we visualized the rate ratio curves of suicides by gender, age group, and subperiod.

resultsWe observed a seasonal pattern of suicides in Korea with a spring peak and a winter trough. The seasonal ups and downs were most pronounced in suicides among the elderly ≥65 years. However, the seasonal pattern has not been consistent over the past two decades, with lowering seasonal peaks since 2012. The amplitude of seasonality was also lower in 2010-2019 than in 2000-2009.

conclusionThe seasonal pattern of suicides seems to have diminished in Korea in recent years. Thus, we need further studies to investigate climatic and non-climatic factors influencing the seasonality of suicides and the consequence of the change.

Indexed as

CosinorSeasonalitySuicideTime-series analysisTrend

Identifiers

PMID35500905
PMCPMC9058267
OpenAlexW4224326222

What OpenQuestion holds

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LicenceCC BY-NC
Read underepoch 390

Registered trials

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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.