ArticleSocial psychiatry and psychiatric epidemiology2022
Impact of the 2018 Japan Floods on benzodiazepine use: a longitudinal analysis based on the National Database of Health Insurance Claims.
Article in Social psychiatry and psychiatric epidemiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed, 5 citations in OpenAlex.
- Impact of the 2018 Japan Floods on Methotrexate and Antirheumatic Drug Prescriptions: A Longitudinal Analysis of the Japanese National Database.JMA journal · 2026Review
- Increased antidepressant prescriptions following the 2018 Japan floods: a longitudinal analysis using the national health insurance database.European journal of psychotraumatology · 2025Article
- Benzodiazepine Prescribing Patterns Following Mass Traumatic Events.JAMA psychiatry · 2025Article
- Insights on Health Burden, Needs, and Prevention Strategies After the Flood Catastrophe in Southern Brazil.Journal of prevention (2022) · 2025Article
- Challenge of long-term benzodiazepine use in primary care: insights from a real-world cohort study in Catalonia.Family medicine and community health · 2025Article
- Enhancing health resilience in Japan in a changing climate.The Lancet regional health. Western Pacific · 2023Review
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeNatural disaster has an impact on mental health. The 2018 Japan Floods, which took place in July 2018 were one of the largest water disasters in Japan's recorded history. We aimed to evaluate the change in the number of benzodiazepine prescriptions by physicians before and after the disaster.
methodsA retrospective cohort study based on the National Database of Health Insurance Claims was conducted in the flood-stricken areas between July 2017 and June 2019. The subjects were divided between victims and non-victims according to certification by local governments. Members of both groups were then categorized into three groups based on their pre-flood use of benzodiazepines: non-user, occasional user, and continuous user. Difference-in-differences (DID) analysis with a logistic regression model was conducted to estimate the effect of the disaster among victims by comparing the occurrence of benzodiazepine prescriptions before and after the disaster.
resultsOf 5,000,129 people enrolled, 31,235 were victims. Among all participants, the mean prescription rate for benzodiazepines in victims before the disaster (11.3%) increased to 11.8% after the disaster, while that in non-victims (8.3%) decreased to 7.9%. The DID analysis revealed that benzodiazepine prescription among victims significantly increased immediately after the disaster (adjusted ratio of odds ratios (ROR) 1.07: 95% confidence interval 1.05-1.11), and the effect of the disaster persisted even 1 year after the disaster (adjusted ROR 1.2: 95% confidence interval 1.16-1.24).
conclusionThe flood increased the number of benzodiazepines prescriptions among victims, and the effect persisted for at least 1 year.
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