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Factors influencing the proportion of non-examinees in the Fukushima Health Management Survey for childhood and adolescent thyroid cancer: Results from the baseline survey

Authors :
Tetsuya Ohira
Shunichi Yamashita
Kunihiko Takahashi
Tomoki Nakaya
Sanae Midorikawa
Koichi Tanigawa
Shinichi Suzuki
Akira Ohtsuru
Kenji Kamiya
Seiji Yasumura
Hitoshi Ohto
Hideto Takahashi
Hiroki Shimura
Source :
Epub 2019 Jun 15, Journal of Epidemiology, Vol 30, Iss 7, Pp 301-308 (2020), Journal of Epidemiology
Publication Year :
2020
Publisher :
[Tokyo] : Japan Epidemiological Association, 2020.

Abstract

Background After the Fukushima Daiichi Nuclear Power Plant accident, a preliminary ultrasound-based screening for thyroid cancer was conducted to establish a baseline for subsequent evaluations. In this survey, we assessed the relationship between the proportion of non-examinees and characteristics of the target populations. Methods After summarizing a regional difference of non-examinees among the population of 359,200 (primary evaluation) and 2,246 (confirmatory testing) individuals who were living in Fukushima Prefecture on March 11, 2011, we estimated odds ratios (ORs) for each characteristic, including age, sex, area of residence, and moving after the accident, based on the proportion of non-examinees for the primary examination and the confirmatory testing, using a multivariate logistic regression model. Results The dataset included 64,117 non-examinees (primary evaluation) and 194 (confirmatory testing). The logistic regression result indicated that girls were not likely to be non-examinees compared to boys, with adjusted OR of 0.80 (95% confidence interval [CI], 0.78-0.81) for the primary evaluation. Odds were lowest for children 6-10 years old (OR 0.26; 95% CI, 0.25-0.27), and higher for those 11-15 years old (OR 1.28; 95% CI, 1.25-1.32) and over 16 years old (OR 5.30; 95% CI, 5.16-5.43) when compared to children 0-5 years old. Individuals residing in the western part of the prefecture showed higher ORs. There was a higher proportion of non-examinees among those who moved after the accident compared to those who did not in the primary evaluation (OR 1.72; 95% CI, 1.64-1.79). Conclusions In addition to demographic characteristics, a change of residence could be a potential factor that influenced the proportion of non-examinees. Our results will help proper interpretation of reports and prospective management of the survey.

Details

Language :
English
ISSN :
09175040
Volume :
30
Issue :
7
Database :
OpenAIRE
Journal :
Journal of epidemiology
Accession number :
edsair.doi.dedup.....697935f7d7ca948315bf7897ea7cde7d