2018-2019年のベテラン保健局患者および全米成人の自殺の郡レベルのクラスタリングパターンの説明,探索的空間データ分析を使用
A R Cunningham1, V Lebakula1, A G Cosby2
1Oak Ridge National Laboratory, 1 Bethel Valley Rd, Oak Ridge, TN 37830, United States.
Annals of epidemiology
|August 21, 2025
まとめ
退役軍人の自殺率は高い 空間分析により,退役軍人保健局 (VHA) の介護を受けている退役軍人および一般の人々の同様の高リスク地域が特定され,標的型予防戦略を支援しました.
科学分野:
- 公衆衛生
- 流行病学
- 空間分析
背景:
- 退役軍人は米国の成人の7%, 自殺者の14%を占めています.
- 退役軍人は独特の地理的プロファイルを持ち,空間分析の重要な焦点となっています.
- 退役軍人保健管理局 (VHA) のケアへのアクセスは,標的型介入の機会を提供します.
研究 の 目的:
- VHA患者の自殺率の空間的パターンを分析する.
- これらのパターンを一般の成人と比較する.
- 自殺予防戦略の郡レベルのクラスターを特定する.
主な方法:
- ホットスポット分析を用いた探査空間データ分析 (ESDA)
- VHA患者および全米成人のための郡レベルの自殺率のクラスター (2018年−2019年) を特定した.
- 郡レベルの人口と環境要因を用いてクラスターを特徴づけた.
主要な成果:
- 自殺率が高いと低いクラスター (ホットスポットとコールドスポット) は,しばしばVHA患者と一般人口の間で重なり合っていました.
- コールドスポットは 低地,高収入,教育と関連しています
- ホットスポットは高地と関連しており,VHAホットスポットは都市部でも発生しました.
結論:
- VHAの自殺データと一般人口のデータを空間的に分析すると,有意なパターンが見られます.
- 特定された空間クラスターは,将来の研究と介入の目標として機能します.
- 地理的な格差を理解することで 退役軍人の自殺予防策を 策定できます
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