アオキ ユウジ
Yuji.AOKI
青木 雄次
- 所属 松本大学大学院 健康科学研究科 健康科学専攻
- 松本大学 人間健康学部 健康栄養学科
- 職種 教授
| 言語種別 | 英語 |
| 発行・発表の年月 | 2025/01/31 |
| 形態種別 | 速報，短報，研究ノート等（学術雑誌） |
| 査読 | 査読あり |
| 標題 | Sex-stratified results should be evaluated alongside sex-adjusted results for further discussion of significant associations with sex |
| 執筆形態 | 単著 |
| 掲載誌名 | Preventive Medicine Research |
| 掲載区分 | 国外 |
| 出版社・発行元 | Japanese Society of Preventive Medicine |
| 巻・号・頁 | 2(4),pp.69-70 |
| 総ページ数 | 2 |
| 担当区分 | 筆頭著者 |
| 著者・共著者 | Yuji Aoki |
| 概要 | In the reportby Kurasawa, et al. (Volume 1, Issue 2)., they used multiple logistic regression analysis to calculate odds ratios (ORs) adjusted for sex and age. While they reported a significant association with sex in the adjusted ORs, their findings focused on associations between obesity and factors based solely on adjusted ORs. Sex-stratified analysis would be a more appropriate for exploring sex-related disparities, if the OR for sex in relation to obesity is substantially larger than those for other covariates. Alternatively, multiple logistic regression analysis could include multiple covariates including sex. |