学校の薬物プログラムと学生の薬物使用との関連を調査する: 情報的なクラスターの規模を考慮する
Aya A Mitani1, Yushu Zou1, Scott T Leatherdale2
1Dalla Lana School of Public Health, University of Toronto, Toronto, Canada.
Epidemiologic methods
|August 27, 2025
まとめ
青年の薬物使用に対する学校ベースのプログラムは,学校の大きさによって異なる結果を示します. 情報的なクラスターサイズ (ICS) を考慮する多変量分析は,学生の物質行動に関する正確な発見に不可欠です.
科学分野:
- 公衆衛生
- バイオ統計学
- 青少年 の 健康
背景:
- カナダでは若者の薬物使用が公衆衛生上の問題として 増加しています
- 学校で実施されるプログラムは 学生の薬物使用に対処するためですが その有効性は 決定的に確立されていません
- 学校からの多重物質使用データは,情報的なクラスターサイズ (ICS) によって影響を受けることがあります.
研究 の 目的:
- ICSを考慮した多変量分析は,単変量分析とは異なる結論が得られるかどうかを判断する.
- 学校の薬物プログラムと若者の薬物使用行動との関連を推定するための分析的アプローチを比較する.
- 学生の多重物質使用データ分析における情報的なクラスターサイズの影響を調査する.
主な方法:
- 2018/2019年の大麻,肥満,精神的健康,身体活動,アルコール,喫煙,静止行動 (COMPASS) のデータを使用した.
- 4つの分析アプローチを比較した.単変数一般化推定方程式 (GEE),単変数クラスター加重GEE (CWGEE),多変数GEE,多変数CWGEE.
- 学校の薬物プログラムと乱飲,大麻,電子タバコ,タバコの使用との関連を調べた.
主要な成果:
- 学生の薬物使用率は小さい学校では高く,大きい学校では低かった.
- 単変量分析と多変量分析では,一般的に比較可能な結果が得られたが,CWGEEとGEEの違いは明らかになった.
- 多変量CWGEEは,大麻プログラムと薬物使用の減少との間に有意な関連性を示した (OR 0.83; 95%CI 0.73,0.95),GEEはゼロ関連性を示した (OR 0.92; 95%CI 0.79,1.07).
結論:
- クラスタ化された学校データにおける情報的なクラスターサイズ (ICS) は,加重分析と非加重分析の間に異なる結果をもたらします.
- クラスタサイズと結果の関係に注意深く検討し,適切な分析方法も必要である.
- 学校のプログラムが複数の薬物行動に影響を与えるため,多変量アプローチは若者の薬物使用を研究するために不可欠です.
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