How Happy Is Happy Enough?

IF 4.7 3区 材料科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC ACS Applied Electronic Materials Pub Date : 2024-08-08 DOI:10.1027/1015-5759/a000850
Gabriel Bonnin, Gerrit Hirschfeld, Ruth von Brachel, Jürgen Margraf
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Abstract

Abstract: As positive mental health (PMH) has a significant impact on general and mental health, it is an important target for interventions. Cut points are a useful basis for identifying participants with a greater need for such interventions. Representative ( n = 9,440) and student ( n = 22,833) samples from Germany, Russia, the US, and China were reanalyzed. Two different anchors were used to determine optimal cut points for the PMH-scale: (1) a combined measure of PMH-related questionnaires and (2) the Global Assessment of Functioning Scale (GAF). A kernel-based method to determine optimal cut points and bootstrapping to identify potential cross-cultural differences were used. Acceptable to excellent levels of classification accuracy were found regarding the combined measure (AUCs between .75 and .87) across all samples. Using the GAF resulted in poor discriminatory power (AUC = .69). Optimal cut points varied systematically between countries and samples. Country and sample-specific cut points for the PMH scale should be used to identify individuals with high versus low levels of PMH. Specifically, we suggest using cut points of 21, 22, and 24 in Germany, Russia, and the US, respectively. For student samples, we recommend cut points of 18, 19, and 20 in Germany, Russia, and China, respectively.
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摘要:由于积极心理健康(PMH)对一般健康和心理健康有重大影响,因此它是干预措施的一个重要目标。切点是确定更需要此类干预措施的参与者的有用依据。我们对来自德国、俄罗斯、美国和中国的代表性样本(n = 9,440 人)和学生样本(n = 22,833 人)进行了重新分析。在确定 PMH 量表的最佳切点时,使用了两种不同的锚点:(1)PMH 相关问卷的综合测量;(2)全球功能评估量表(GAF)。采用基于核的方法来确定最佳切点,并使用引导法来识别潜在的跨文化差异。在所有样本中,综合测量的分类准确性达到了可接受到优秀的水平(AUC 在 0.75 到 0.87 之间)。使用 GAF 的结果是判别能力较差(AUC = 0.69)。不同国家和样本的最佳切点存在系统性差异。应使用针对不同国家和样本的 PMH 量表切点来识别 PMH 水平高与低的个体。具体来说,我们建议德国、俄罗斯和美国的切分点分别为 21、22 和 24。对于学生样本,我们建议德国、俄罗斯和中国的切分点分别为 18、19 和 20。
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来源期刊
CiteScore
7.20
自引率
4.30%
发文量
567
期刊介绍: ACS Applied Electronic Materials is an interdisciplinary journal publishing original research covering all aspects of electronic materials. The journal is devoted to reports of new and original experimental and theoretical research of an applied nature that integrate knowledge in the areas of materials science, engineering, optics, physics, and chemistry into important applications of electronic materials. Sample research topics that span the journal's scope are inorganic, organic, ionic and polymeric materials with properties that include conducting, semiconducting, superconducting, insulating, dielectric, magnetic, optoelectronic, piezoelectric, ferroelectric and thermoelectric. Indexed/​Abstracted: Web of Science SCIE Scopus CAS INSPEC Portico
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