ラテン系健康における知覚された差別の測定とその結果
1Department of Sociology, College of Arts and Sciences, Adelphi University, Garden City, NY 11530, USA.
まとめ
差別は健康に悪影響を及ぼしますが、研究ではラテン系民族のバリエーションが見過ごされがちです。差別の測定を洗練させることで、健康への影響との関連性がより強く示され、民族グループを細分化する必要性が強調されます。
科学分野:
- 健康格差
- 健康の社会学
- 心理測定学
背景:
- 差別は健康の既知の社会的決定要因です。
- 既存の研究では、単一次元の尺度が多く使用されており、民族差や差別の多次元性が覆い隠されています。
- ラテン系人口は多様ですが、研究ではしばしば単一のグループとして扱われます。
研究 の 目的:
- 日常差別尺度(EDS)を使用して、ラテン系グループ内での知覚された差別の民族差を調査すること。
- 確認的因子分析を通じて、異なるラテン系民族グループ全体でのEDSの適合性と次元性を評価すること。
- 差別の異なるスケーリング方法が、うつ病および慢性疾患との関係にどのように影響するかを評価すること。
主な方法:
- National Latino and Asian American Studyのデータを利用しました。
- ラテン系の異なる民族グループに対してEDSの確認的因子分析(CFA)を実施しました。
- 差別(さまざまなスケーリングアプローチを使用)とうつ病、慢性疾患などの健康アウトカムとの関連性を比較しました。
主要な成果:
- ラテン系グループ内での知覚された差別の顕著な民族差が発見されました。
- 微妙な差別と顕性差別からなる二次因子モデルは、調査されたすべてのラテン系民族グループで良好な適合性を示しました。
- 差別と健康の関係は、差別が二次因子モデルを使用して測定された場合に、より強力でした。
結論:
- 従来のアルファ尺度を超えた代替スケーリングアプローチは、差別を測定するために、より適切です。
- 差別の多次元性を認識し、差別を正確に測定することは、その健康への影響を正確に評価するために不可欠です。
- 「ラテン系」のような民族的カテゴリーを細分化することは、民族的階層とその健康への影響を理解するために不可欠です。
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