Observational studyMedicine2020
Relationship between the prevalence of polycythemia and factors observed in the mental health and lifestyle survey after the Great East Japan Earthquake.
Observational study in Medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.
What it found
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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.
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Who cites it
6 citing papers in PubMed, 1 synthesis or guideline pooled it, 8 citations in OpenAlex.
- Pooled it
- Association between Adverse Childhood Experiences and Multiple Sclerosis in Icelandic Women-A Population-Based Cohort Study.Brain sciences · 2022Article
- Pneumonia and Pulmonary Thromboembolism Classification Using Electronic Health Records.Diagnostics (Basel, Switzerland) · 2022Article
- Trends in Lifestyle-related Diseases and Their Risk Factors After the Fukushima Daiichi Nuclear Power Plant Accident: Results of the Comprehensive Health Check in the Fukushima Health Management Survey.Journal of epidemiology · 2022Article
- Depression, risk factors, and coping strategies in the context of social dislocations resulting from the second wave of COVID-19 in Japan.BMC psychiatry · 2021Article
- Model Construction of Using Physiological Signals to Detect Mental Health Status.Journal of healthcare engineering · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
18 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We have been examining the Comprehensive Health Check of the Fukushima Health Management Survey of residents of 13 municipalities who were forced by the government to evacuate due to the 2011 Great East Japan Earthquake (GEJE). Our findings showed that evacuation is a risk factor for polycythemia and suggested that experiencing an unprecedented disaster and exposure to chronic stress due to evacuation might be a cause of polycythemia.We analyzed the relationship between the prevalence of polycythemia and the following factors observed in the Mental Health and Lifestyle Survey in an observational study with a cross-sectional design: traumatic symptoms, depression status, socioeconomic factors such as residential environment, and working situation after the GEJE. Target population of the survey included men and women who were at least 15 years of age and who lived in the evacuation zones specified by the government. Participants analyzed consisted of 29,474 persons (12,379 men and 16,888 women) who had participated in both the 2011 Comprehensive Health Check and Mental Health and Lifestyle Survey from June 2011 through March 2012.The prevalence of polycythemia was not associated with mental states associated with traumatic symptoms (Post-Traumatic Stress Disorder Checklist Scale ≥ 44) and depression status (Kessler 6-item Scale ≥ 13). Furthermore, multivariate analysis showed that there was a tendency for males to develop polycythemia, with characteristics such as being aged 65 years and older, highly educated, obese (body mass index ≥ 25), hypertensive, diabetic, having liver dysfunction, and a smoker being significantly related to the prevalence of polycythemia.Our findings conclusively demonstrated that polycythemia was not significantly related to psychological factors, but was significantly related to the onset of lifestyle-related disease after the GEJE.
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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.