Evidence map›Paper›PMID 30183140›Full record

ArticleJournal of diabetes investigation2019

Association between insomnia and personality traits among Japanese patients with type 2 diabetes mellitus.

Hideyuki Otaka, Hiroshi Murakami, Hirofumi Nakayama, Masaya Murabayashi, Satoru Mizushiri, Koki Matsumura, Jutaro Tanabe, Yuki Matsuhashi, Miyuki Yanagimachi, Kazutaka Yoshida and 3 more

Open access · goldAbstract read
In one paragraph

Article in Journal of diabetes investigation, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.6field-weighted citation impact, top 10% 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

11 citing papers in PubMed, 25 citations in OpenAlex.

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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

13 authors at 2 institutions in 1 country.

Hideyuki OtakaDepartment ofEndocrinology and Metabolism, Hirosaki University Graduate School of Medicine, Hirosaki, Japan.ORCID http://orcid.org/0000-0001-9171-2780
Hiroshi MurakamiDepartment ofEndocrinology and Metabolism, Hirosaki University Graduate School of Medicine, Hirosaki, Japan.
Hirofumi NakayamaDepartment ofEndocrinology and Metabolism, Hirosaki University Graduate School of Medicine, Hirosaki, Japan.
Masaya MurabayashiDepartment ofEndocrinology and Metabolism, Hirosaki University Graduate School of Medicine, Hirosaki, Japan.
Satoru MizushiriDepartment ofEndocrinology and Metabolism, Hirosaki University Graduate School of Medicine, Hirosaki, Japan.
Koki MatsumuraDepartment ofEndocrinology and Metabolism, Hirosaki University Graduate School of Medicine, Hirosaki, Japan.
Jutaro TanabeDepartment ofEndocrinology and Metabolism, Hirosaki University Graduate School of Medicine, Hirosaki, Japan.
Yuki MatsuhashiDepartment ofEndocrinology and Metabolism, Hirosaki University Graduate School of Medicine, Hirosaki, Japan.
Miyuki YanagimachiDepartment ofEndocrinology and Metabolism, Hirosaki University Graduate School of Medicine, Hirosaki, Japan.
Kazutaka YoshidaDepartment ofNeuropsychiatry, Hirosaki University Graduate School of Medicine, Hirosaki, Japan.
Norio SugawaraDepartment of Clinical Epidemiology, Translational Medical Center, National Center of Neurology and Psychiatry, Kodaira, Tokyo, Japan.
Norio Yasui-FurukoriDepartment ofNeuropsychiatry, Hirosaki University Graduate School of Medicine, Hirosaki, Japan.
Makoto DaimonDepartment ofEndocrinology and Metabolism, Hirosaki University Graduate School of Medicine, Hirosaki, Japan.
Hirosaki University · JPNational Center of Neurology and Psychiatry · JP

Funding

Grant-in-Aid for Scientific Research KAKENHI from the Japan Society for the Promotion of Research 15H04754 and 15K01643Grant-in-Aid for Scientific Research KAKENHI from the Japan Society for the Promotion of Research 15K19239Grant-in-Aid for Scientific Research KAKENHI from the Japan Society for the Promotion of Research 15K19710
6 · The paper itself

Abstract

AIMS/

introductionInsomnia is associated with type 2 diabetes mellitus, and results in a low quality of life. There are several known relationships between insomnia and personality. Thus, we clarified the association between some personality traits and insomnia among Japanese type 2 diabetes mellitus patients. MATERIALS AND

methodsThe participants were 504 type 2 diabetes mellitus patients (mean age 63.9 ± 12.5 years). Sleep disturbance and personality traits were evaluated using the Pittsburgh Sleep Quality Index-Japanese version and the Ten-Item Personality Inventory Japanese version, respectively. Lifestyle factors, glycated hemoglobin levels and depressive status of the patients were also included in the analyses.

resultsAmong the 504 participants with type 2 diabetes mellitus, 154 (30.6%) showed probable insomnia. After adjustment for confounders, being female, living alone, high body mass index and "high neuroticism" were found to be significantly correlated with current insomnia. No other relationships between insomnia and glycated hemoglobin or lifestyle factors, such as smoking, drinking alcohol or exercise frequency, were found.

conclusionsThe prevalence of insomnia in individuals with type 2 diabetes mellitus was high, and the risk factors included some personality factors. Future prospective studies are required to confirm the therapeutic effects of behavioral interventions for insomnia in patients with type 2 diabetes mellitus.

Indexed as

Quality of LifeAgedBody Mass IndexDiabetes Mellitus, Type 2FemaleFollow-Up StudiesHumansIncidenceJapanMaleMiddle AgedPersonality DisordersPersonality InventoryPrognosisRisk FactorsSleep Initiation and Maintenance DisordersInsomniaPersonalityType 2 diabetes mellitus

Identifiers

PMID30183140
PMCPMC6400161
OpenAlexW2890578839

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.