関連する実験動画
Updated: May 13, 2026

09:29
Skeletal Muscle Gender Dimorphism from Proteomics
Published on: December 14, 2011
研究医の給与におけるジェンダーの違い
Reshma Jagsi1, Kent A Griffith, Abigail Stewart
1Department of Radiation Oncology, University of Michigan, UHB2C490, SPC 5010, 1500 E Medical Center Dr, Ann Arbor, MI 48109-5010, USA. rjagsi@med.umich.edu
JAMA
|June 14, 2012
まとめ
同様の仕事をしている男性と女性の医師研究者は,依然としてジェンダーの賃金格差を示しています. 専門職や生産性などの要因を考慮しても,この研究で男性の方が女性より著しく稼いでいる.
科学分野:
- 医学研究 医学研究
- 医者の補償金について
- 学術医学は,学術医学である.
背景:
- ジェンダーの賃金格差は,医学を含む多くの職業で依然として存在しています.
- 男性と女性の医師研究者が同様の仕事に対して同等に報酬を受けるかどうかは不明です.
- この研究は,医師研究者の均質なコホートにおける男女の賃金格差に対処しています.
研究 の 目的:
- 同様の役割を持つ医師研究者の間で,性別に基づく賃金格差が存在するかどうかを判断する.
- 専門化,生産性,その他の特徴などの要因が,観察された賃金格差を説明できるかどうかを特定する.
- 学術医の選ばれたグループにおける男女賃金格差の程度を分析する.
主な方法:
- 2009~2010年に全米の郵便調査が実施され,国立衛生研究所 (NIH) のK08およびK23賞を受賞者を対象とした.
- この研究では,米国の学術機関で実践している800人の医師が,年間給与を報告した.
- 線形回帰モデルでは,性別,専門職,生産性,学歴等,その他の要因に基づいて給料を分析した.
主要な成果:
- 男性の平均年収は200,433ドル,女性の平均年収は167,669ドルでした.
- 男性の性別は,複数の変数を調整した後でも,13,399ドル (P=0.001) 以上の給与と独立して関連していました.
- 分析によると,女性が同じ特徴を持ちながら男性であれば,12,194ドル以上稼ぐという.
結論:
- この中期の学術医のコホートでは,ジェンダーに基づく有意な賃金差が見られた.
- これらの格差は,専門分野,制度的要因,学術的生産性,労働時間等を考慮したとしても残っている.
- この調査結果は,医師研究者の間で原因不明の男女の賃金格差が浮き彫りにされています.
関連する概念動画
Regression Toward the Mean
Regression toward the mean (“RTM”) is a phenomenon in which extremely high or low values—for example, and individual’s blood pressure at a particular moment—appear closer to a group’s average upon remeasuring. Although this statistical peculiarity is the result of random error and chance, it has been problematic across various medical, scientific, financial and psychological applications. In particular, RTM, if not taken into account, can interfere when researchers try to extrapolate results...
The Y Chromosome Determines Maleness
The Y chromosome is a sex chromosome found in several vertebrates and mammals, including humans. In addition to 22 pairs of autosomes, the human males have one X chromosome and one Y chromosome. In these organisms, the presence or absence of the Y chromosome determines the development of male traits.
Evolution
Around 300 million years ago, the two sex chromosomes diverged from two identical autosomal chromosomes. Over time, the Y chromosome has lost most of its genes, shrinking in size. Today,...
Evolution
Around 300 million years ago, the two sex chromosomes diverged from two identical autosomal chromosomes. Over time, the Y chromosome has lost most of its genes, shrinking in size. Today,...
The Ratio of X Chromosome to Autosomes
In most organisms, sex is determined by the ratio of X and Y chromosomes. However, in some organisms, such as Drosophila and C.elegans, sex is determined by the ratio of the number of X chromosomes to the number of sets of autosomes. The Y chromosome in Drosophila is active but does not determine sex. It contains genes responsible for the production of sperms in adult flies.
Normal male Drosophila has a ratio of one X chromosome to two sets of autosomes. In contrast, normal female Drosophila...
Normal male Drosophila has a ratio of one X chromosome to two sets of autosomes. In contrast, normal female Drosophila...
Dosage Compensation
In animals, gender is determined by the number and type of sex chromosome. For example, human females have two X chromosomes, and males have one X and one Y chromosome, whereas C.elegans with one X chromosome is a male, and the one with two X chromosomes is a hermaphrodite.
In addition to sexual development, the X chromosome has genes involved in autosomal functions such as brain development and the immune system. Therefore, males and females with distinct numbers of X chromosomes will have...
In addition to sexual development, the X chromosome has genes involved in autosomal functions such as brain development and the immune system. Therefore, males and females with distinct numbers of X chromosomes will have...
Bias in Epidemiological Studies
Biases can arise at various stages of research, from study design and data collection to analysis and interpretation. Recognizing and addressing these biases is essential to ensure the validity and reliability of epidemiological findings.Broadly speaking, biases in epidemiology fall into three main categories: selection bias, information bias, and confounding. A more detailed description of possible biases is:
Comparing the Survival Analysis of Two or More Groups
Survival analysis is a cornerstone of medical research, used to evaluate the time until an event of interest occurs, such as death, disease recurrence, or recovery. Unlike standard statistical methods, survival analysis is particularly adept at handling censored data—instances where the event has not occurred for some participants by the end of the study or remains unobserved. To address these unique challenges, specialized techniques like the Kaplan-Meier estimator, log-rank test, and Cox...

