“Living in Contaminated Areas”—Consideration of Different Perspectives

Abend, Michael; Nisbet, A.F.; Gering, F.; Averin, V.; Andersson, Kasper Grann; Schneider, Thierry; Mothersill, Carmel; Zeeb, Hajo; Scholz-Kreisel, Peter; Yamashita, Shunichi; Pölz-Viol, Christina; Port, Matthias

doi:10.1097/hp.0000000000001218

Cited by 5 publications

(2 citation statements)

References 27 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Radiological events may involve changes in other risk factors for the chosen health outcome concurrently with radiation exposure [38,39]. Most obviously following the atomic bombings in Hiroshima and Nagasaki, but also after the nuclear accidents in Chernobyl and Fukushima, radiation exposure was accompanied by major physical destruction and ensuing disruptive changes to society.…”

Section: Bias and Confoundingmentioning

confidence: 99%

“…Catastrophic events with an evacuation can traumatise people and create psychological stress as well as exhaustion. Long-term consequences include deteriorated health service conditions after the complete or partial collapse of medical infrastructure, psychological stress from health concerns and stigmatisation, degraded social networks, homelessness, unemployment, and material losses [38,40,41]. These stressors are all linked to adverse health effects.…”

Section: Bias and Confoundingmentioning

confidence: 99%

See 1 more Smart Citation

Methodological considerations for interrupted time series analysis in radiation epidemiology: an overview

et al. 2021

Self Cite

View full text Add to dashboard Cite

Interrupted time series analysis (ITSA) is a method that can be applied to evaluate health outcomes in populations exposed to ionizing radiation following major radiological events. Using aggregated time series data, ITSA evaluates whether the time trend of a health indicator shows a change associated with the radiological event. That is, ITSA checks whether there is a statistically significant discrepancy between the projection of a pre-event trend and the data empirically observed after the event. Conducting ITSA requires one to consider specific methodological issues due to unique threats to internal validity that make ITSA prone to bias. We here discuss the strengths and limitations of ITSA with respect to bias and confounding, data quality, and statistical aspects. We provide recommendations to strengthen the robustness of ITSA studies and reduce their susceptibility to producing spurious results as a consequence of arbitrary modelling decisions.

show abstract

Section: Bias and Confoundingmentioning

confidence: 99%

Section: Bias and Confoundingmentioning

confidence: 99%

Methodological considerations for interrupted time series analysis in radiation epidemiology: an overview

et al. 2021

Self Cite

View full text Add to dashboard Cite

show abstract

Restoring areas after a radioactive fallout: A multidisciplinary study on decontamination

Rääf,

Martinsson,

Eriksson

et al. 2023

Journal of Environmental Radioactivity

View full text Add to dashboard Cite

Frequency of visits to Tomioka town and related factors among evacuees more than a decade after the Fukushima Daiichi Nuclear Power Plant accident

Matsunaga

Xiao

Hande

et al. 2023

Journal of Radiation Research

View full text Add to dashboard Cite

This study aimed to clarify the frequency of visits (FOV) to Tomioka town, Japan, and related factors among evacuees more than a decade after the Fukushima Daiichi Nuclear Power Plant accident. A questionnaire survey was conducted on residents (age ≥ 18 years) who had residence cards in August 2021. Of the 2260 respondents, the FOV to Tomioka was as follows: 926 (41.0%) more than twice a year (Group 1 [G1]), 841 (37.2%) once a year (G2) and 493 (21.8%) no visits (G3). About 70% of the respondents who had decided not to return to Tomioka visited once a year or more. No significant differences in the FOV or radiation risk perception were found between groups. Multinomial logistic regression analysis using G3 as a reference revealed independent associations between living inside Fukushima in G1 (odds ratio [OR] = 5.4, 95% confidence interval [CI]: 4.1–7.3; P < 0.01) and G2 (OR = 2.3, 95% CI: 1.8–3.0, P < 0.01), undecided about returning in G1 (OR = 2.5, 95% CI: 1.9–3.3, P < 0.01), females in G1 (OR = 2.0, 95% CI: 1.6–2.6, P < 0.01) and motivation to learn more about tritiated water in G2 (OR = 1.8, 95% CI: 1.3–2.4, P < 0.01). Overall, 80% of the residents had visited Tomioka within a decade after the accident. These findings suggest the need to continue the effective dissemination of information about the effects of a nuclear accident and the subsequent decommissioning process to evacuees after evacuation orders have been lifted.

show abstract

“Living in Contaminated Areas”—Consideration of Different Perspectives

Cited by 5 publications

References 27 publications

Methodological considerations for interrupted time series analysis in radiation epidemiology: an overview

Methodological considerations for interrupted time series analysis in radiation epidemiology: an overview

Restoring areas after a radioactive fallout: A multidisciplinary study on decontamination

Frequency of visits to Tomioka town and related factors among evacuees more than a decade after the Fukushima Daiichi Nuclear Power Plant accident

Contact Info

Product

Resources

About