Business School, Central University of Finance and Economics, Beijing, China.
School of Business Administration, Xinjiang University of Finance & Economics, Urumqi, Xinjiang, China.
Medicine (Baltimore). 2024 Jun 7;103(23):e38449. doi: 10.1097/MD.0000000000038449.
Personal quantification plays a crucial role in preserving individual mental health. However, in previous research, its effectiveness in alleviating generalized anxiety disorder (GAD) has not been conclusively established. This study explores the impact of personal quantification on GAD among PhD students. The research data was obtained through questionnaires distributed to 308 PhD students across universities in China. Among these students, 118 anxiety-free participants were excluded, yielding valuable data from 190 students with GADs. We employed Python programming language and SPSS software for the empirical analysis. The results illustrated that personal quantification significantly and negatively impacted GAD (β = -0.148, P = .002), concurrently producing a significantly positive effect on self-efficacy (β = 0.359, P < .001). Further analysis showed that through 5000 sampling iterations and a 95% confidence level, self-efficacy significantly reduced certain symptoms of GAD (β = -0.1183; P = .026; 95% Cl: -0.2222 to -0.0144). Moreover, when the coefficient of self-efficacy was significantly negative, the impact of personal quantification on GAD remained statistically significant (β = -0.1056; P = .033; 95% Cl: -0.2025 to -0.0087). The findings indicated that personal quantification has a significant role in alleviating GAD among PhD students, which is partly mediated through self-efficacy. This study contributes valuable insights to the nonpharmacological alleviation of GAD in Chinese PhD students.
个人量化在维护个体心理健康方面起着至关重要的作用。然而，在之前的研究中，其在缓解广泛性焦虑障碍（GAD）方面的有效性尚未得到明确证实。本研究探讨了个人量化对中国博士生 GAD 的影响。研究数据通过问卷调查获得，调查对象为中国各大学的 308 名博士生。其中，排除了 118 名无焦虑的参与者，从 190 名患有 GAD 的学生中获得了有价值的数据。我们采用 Python 编程语言和 SPSS 软件进行实证分析。结果表明，个人量化对 GAD 具有显著的负向影响（β=-0.148，P=0.002），同时对自我效能感产生显著的正向影响（β=0.359，P<0.001）。进一步分析表明，通过 5000 次抽样迭代和 95%置信水平，自我效能感显著降低了 GAD 的某些症状（β=-0.1183；P=0.026；95%Cl：-0.2222 至-0.0144）。此外，当自我效能感的系数显著为负时，个人量化对 GAD 的影响仍然具有统计学意义（β=-0.1056；P=0.033；95%Cl：-0.2025 至-0.0087）。研究结果表明，个人量化在缓解博士生 GAD 方面具有显著作用，这部分是通过自我效能感来实现的。本研究为中国博士生非药物缓解 GAD 提供了有价值的见解。
