ArticleScientific reports2022
Structural equation modeling of the effects of psychological distress and a fear of coronavirus disease 2019 on diabetes care in Japan: a cross-sectional study.
Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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.
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.
Who cites it
5 citing papers in PubMed, 5 citations in OpenAlex.
- Structural equation modeling of associated factors and regional variations in major depressive disorders and generalized anxiety disorders among reproductive-age Bangladeshi women: a nationally representative study.Annals of general psychiatry · 2025Article
- Impact of Non-Payment of Salaries on Treatment Interruption among Patients with Diabetes.JMA journal · 2025Article
- Association between equivalized annual household income and regular medical visits for hypertensive patients since the COVID-19 outbreak.Hypertension research : official journal of the Japanese Society of Hypertension · 2025Article
- The youth mental health crisis: analysis and solutions.Frontiers in psychiatry · 2024Review
- COVID-19 fear and its associated correlates among type-2 diabetes patients in Bangladesh: A hospital-based study.Global mental health (Cambridge, England) · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 5 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This study aimed to examine the effects of psychological distress and a fear of coronavirus disease 2019 (COVID-19) on diabetes care in Japan. We used data from a 2020 nationwide Internet survey in Japan involving 28,000 respondents aged 15-79 years. The question items included psychological factors (Kessler psychological distress scale and fear of COVID-19), employment, trust in neighbors, informal caregiving, and history of diabetes care. After excluding respondents with comorbidities and those who had not visited the hospital, 625 patients with diabetes were analyzed. Statistical mediation was then examined through a path analysis using structural equation modeling (SEM). Discontinued diabetes care was independently associated with psychological distress (risk ratio = 1.44, 95% confidence interval [1.01-2.06]) and a fear of COVID-19 (1.41 [1.01-1.95]). The SEM results indicated that a fear of COVID-19, employment, trust in neighbors, and informal caregiving were indirectly associated with continued diabetes care via psychological distress. These findings suggest that a fear of COVID-19 may affect psychological distress and continued diabetes care among patients with diabetes in Japan, and that trust in neighbors and family caregiving may be related to the discontinuation of diabetes care. Therefore, because psychological factors and socioeconomic status may affect diabetes care, it is important to consider a fear of COVID-19 among patients with diabetes to maintain diabetes treatment.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.