短期的な気分と感情のアンケートの臨床特性:ブラジルの高リスクコホート研究に基づく無料計算機の開発
Gabriele Dos Santos Jobim1, João Villanova do Amaral2, João Pedro Gonçalves Pacheco3
1Mental Health Epidemiology Group (MHEG), Universidade Federal de Santa Maria, Santa Maria, RS, Brazil; Department of Neuropsychiatry, Universidade Federal de Santa Maria (UFSM), Avenida Roraima 1000, building 26, office 1353, Santa Maria, 97105-900, Brazil.
Journal of psychiatric research
|August 29, 2025
まとめ
この研究は,アイテム応答理論 (IRT) を用いて,ブラジルにおける短期の気分と感情アンケート (SMFQ) の新しいカットポイントを確立した. これらの方法は,若者のうつ病の症状と内定障害の評価を改善します.
科学分野:
- 精神科
- サイコメトリクス
- 青少年 の 健康
背景:
- 短時間の気分と感情のアンケート (SMFQ) は,若者のうつ病の症状を評価するための有効なツールです.
- ブラジルの住民には特定の切断点はありません.
- アイテムレスポンスの理論 (IRT) とインターバル確率比 (ILR) は,洗練された症状モニタリングを提供するが,臨床用途では複雑である.
研究 の 目的:
- ブラジルの若者集団におけるSMFQの特定のカットポイントを確立する.
- 鬱病および関連疾患の評価に IRT と ILR の有用性を評価する.
- 先進的な心理測定法を臨床実践に組み込むための実用的なツールを開発する.
主な方法:
- 14歳から23歳までのブラジルの青少年1,905人の横断データを使用した.
- IRTを用いてSMFQ因子スコアを推定し,Tスコアに変換した.
- ROC 曲線と ILR を使用して,内部化および外部化障害の診断特性を評価し,予測計算機を開発しました.
主要な成果:
- メジャー・デプレッシブ・ディソード (MDD) の検出のための推奨SMFQ合計スコア・カットオフ> 6とTスコア> 55.
- 内部化状態では高い精度 (AUC > 0. 8),注意力および外部化障害では低い精度 (AUC < 0. 7) を示した.
- ILRは予測モデルを大幅に改善し,検定後の確率は検定前の確率を上回る.
結論:
- IRTベースのILRは,併発症に関係なく,若者の内化障害に対するSMFQの予測精度を高めます.
- 開発された計算機は,これらの高度な方法を臨床環境に統合することを容易にする.
- リアルタイムでデータに基づいた意思決定を 支援します
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