Irish Andrew J, Bowen Elizabeth A, Richards Michael C
West Virginia University, School of Social Work, Morgantown, WV, USA.
University at Buffalo, School of Social Work, Buffalo, NY, USA.
J Soc Work Pract Addict. 2025;25(3):348-360. doi: 10.1080/1533256X.2025.2508789. Epub 2025 May 29.
As the recovery capital framework emerges, we still know little about growth rates in early- and middle-stage recovery. This study aimed to: 1) hypothesize recovery capital growth trajectories via graphical representations employing fitted lines and curves; and 2) generate preliminary recovery capital growth estimates through statistical models that predict monthly and yearly growth in recovery capital scores. We used the Multidimensional Inventory of Recovery Capital (MIRC), a new, psychometrically validated measure, to assess recovery capital on a sample of (n=482) people, as well collecting key control variable data. Regarding Aim 1, graphical plots showed that growth was observed for all forms of capital; however, not for human and cultural capital in the first 12 months. Regarding Aim 2, controlled regression models predict an overall increase of approximately one unit of total recovery capital per year. Social workers and other recovery professionals may use these results to assess and treatment plan.
随着康复资本框架的出现,我们对早期和中期康复的增长率仍然知之甚少。本研究旨在:1)通过使用拟合线和曲线的图形表示来假设康复资本增长轨迹;2)通过预测康复资本得分月度和年度增长的统计模型生成初步的康复资本增长估计值。我们使用多维康复资本量表(MIRC),这是一种经过心理测量验证的新测量方法,对482名样本人员的康复资本进行评估,并收集关键控制变量数据。关于目标1,图形显示所有形式的资本都有增长;然而,在最初的12个月里,人力和文化资本没有增长。关于目标2,控制回归模型预测每年总康复资本总体增加约一个单位。社会工作者和其他康复专业人员可以利用这些结果进行评估和制定治疗计划。