| Literature DB >> 34999893 |
Mengjie Liu1, Hitomi Matsunaga2, Makiko Orita2, Yasuyuki Taira2, Noboru Takamura2.
Abstract
Entities:
Mesh:
Year: 2022 PMID: 34999893 PMCID: PMC8944293 DOI: 10.1093/jrr/rrab108
Source DB: PubMed Journal: J Radiat Res ISSN: 0449-3060 Impact factor: 2.724
Fig. 1Risk perception of genetic effects in Kawauchi residents with a high PCL-S score (≥12) in 2021.
Fig. 2Risk perception of genetic effects in Kawauchi residents with a low SOC-13 score (<60) in 2021.
Logistic regression analysis of the risk perception of genetic effects in Kawauchi residents
| Variables | Unit | Model 1 | Model 2 | ||
|---|---|---|---|---|---|
| OR | 95%CI | OR | 95%CI | ||
| Age | ≥60/<60 | 1.48 | 0.83–2.53 | 1.98* | 1.15–3.42 |
| Gender | Female/Male | 1.11 | 0.73–1.71 | 1.03 | 0.67–1.59 |
| PCL-S | worse/better | 6.92** | 3.26–14.71 | — | |
| SOC-13 | worse/better | — | 3.79** | 2.44–5.90 | |
Note. OR: Odds Ratio, 95%CI: 95% confidence interval, PCL-S; post-traumatic stress disorder checklist-Specific, SOC-13; the sense of coherence-13.
* P < 0.05.
* * P < 0.01.