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首页> 外文期刊>Quality of life research: An international journal of quality of life aspects of treatment, care and rehabilitation >Latent profile analysis of the three-dimensional model of character strengths to distinguish at-strengths and at-risk populations
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Latent profile analysis of the three-dimensional model of character strengths to distinguish at-strengths and at-risk populations

机译:潜在特征分析对特征和风险群体的特征优势三维模型

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PurposeStudies that focus on the development of the typology of individual strength profiles are limited. Thus, this study aimed to determine strength profiles with different health outcomes based on the Three-Dimensional Inventory of Character Strengths (TICS).MethodsThe TICS was used to measure three-dimensional strengths: caring, inquisitiveness, and self-control. A total of 3536 community participants (1322 males and 2214 females with ages ranging from 17 to 50, M=23.96, SD=5.13) completed the TICS. A subsample (n=853; female=68.2%, male=31.8%) was further required to complete the Depression Anxiety Stress Scale and Flourishing Scale. A latent profile analysis (LPA) was conducted in the total sample to identify the latent strength profiles. Then, a three-step method was implemented to compare the mental health outcomes between strength profiles in the subsample.ResultsThe LPA helped determine two subgroups based on the entire sample: the at-strengths group (high scores on all dimensions) and the at-risk group (low scores on all dimensions). As expected, the at-strengths group had less significant negative emotional symptoms (at-strengths group=0.57, at-risk group=0.83, (2)=33.54, p.001) and had better psychological well-being (at-strengths group=5.81, at-risk group=4.64, (2)=276.64, p.001).ConclusionsThis study identified two character strength profiles with different health outcomes. Specifically, populations with low-character strengths (caring, inquisitiveness, and self-control) were more likely to demonstrate poor mental health outcomes. Our findings also showed that a particular trait subtype can be considered in identifying high-risk populations and further implementing targeted strength-based interventions.
机译:专注于各个实力型材的类型的开发的用品是有限的。因此,本研究旨在根据具有不同健康结果的基于特征优势(TICS)的三维清单来确定具有不同健康结果的强度谱。方法用于测量三维优势:关心,疑虑和自我控制。共有3536名社区参与者(1322名男性和2214名年龄在17至50岁的女性,M = 23.96,SD = 5.13)完成了TICS。进一步要求子样本(n = 853;雌性= 68.2%,男性= 31.8%),以完成抑郁焦虑应激规模和繁荣的规模。在总样品中进行潜在的轮廓分析(LPA)以识别潜在的强度型材。然后,实施了三步法以比较Subsample中的强度谱之间的心理健康结果.Resultsthe LPA帮助确定了基于整个样本的两个子组:at-rights组(所有尺寸上的高分)和at-风险组(所有维度的低分)。如预期的那样,at-rights组具有较小的负面情绪症状(在强度组= 0.57,风险组= 0.83,(2)= 33.54,p& .001),并具有更好的心理福祉(AT-强度组= 5.81,风险组= 4.64,(2)= 276.64,P <.001).Conclusionsthis研究确定了两个具有不同健康结果的性格实力谱。具体而言,具有低特征优势(关心,疑虑和自我控制)的人群更有可能表现出糟糕的心理健康结果。我们的研究结果还表明,在识别高危人群中,可以考虑特定的特质亚型,并进一步实施目标实力的干预措施。

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