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20 33.1 (10) Total 71 28.6 (8) A correlational analysis

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using the Mann-Whitney U test ( P < 0.05). The dependent variables in each group were compared using the Friedman test and pairwise Wilcoxon comparison (while comparing three dependent groups, P < 0.017). The correlation analysis was performed using

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partial-correlation analysis, by controlling for age, BDI scores, and the duration of problem gambling. Finally, the association between serum BDNF levels and IGT performance was analyzed using the same method. All data are presented as means ± standard

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Journal of Behavioral Addictions
Authors: Lijuan Shi, Yuanyuan Wang, Hui Yu, Amanda Wilson, Stephanie Cook, Zhizhou Duan, Ke Peng, Zhishan Hu, Jianjun Ou, Suqian Duan, Yuan Yang, Jiayu Ge, Hongyan Wang, Li Chen, Kaihong Zhao, and Runsen Chen

.5 Note : IDG = Internet Gaming Disorder. *Different gender using different criteria. Descriptive Statistics Results from the correlation

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to examine the score of MPA and its four aspects at different levels of physical activity and then multiple comparisons between groups used the method of the least significant difference (LSD). Thirdly, using Pearson's correlation analysis to measure

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activity and then multiple comparisons between groups used the method of the least significant difference (LSD). Thirdly, using Pearson's correlation analysis to measure the association between physical activity and MPA. Lastly, using Hayes's (2013

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Journal of Behavioral Addictions
Authors: Hyeonseok Jeong, Jin Kyoung Oh, Eun Kyoung Choi, Jooyeon Jamie Im, Sujung Yoon, Helena Knotkova, Marom Bikson, In-Uk Song, Sang Hoon Lee, and Yong-An Chung

correlation analysis between rCMRglu and behavioral characteristics are presented in Supplementary Tables 2 and 3 . At the baseline, rCMRglu in the abovementioned cluster had negative relationships with scores of BAS-fun seeking ( β = −0.54, P = 0.004) and

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significant interaction effects. We then performed a two-way ANOVA on the brain activation for each trial type, to find a background × group interaction effect (Supplementary materials, Tables S2 and S3). Moreover, a correlation analysis was

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from .80 (exercise addiction) to .95 (hubristic pride). Table 1. Descriptive statistics, composite reliability, and correlational analysis

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suggested that cortical thickness is not affected by ICV ( Buckner et al., 2004 ). To assess the brain-behavior relationships, we performed a correlation analysis for gray matter alterations (GMV and cortical thickness in the OFC and the ACC) and the self

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