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Recent discoveries indicating that the brain retains its ability to adapt and change throughout life have sparked interest in cognitive training (CT) as a possible means to postpone the development of dementia. Despite this, most research has focused on confirming the efficacy of training outcomes, with few studies examining the correlation between performance and results across various stages of training. In particular, the relationship between initial performance and the extent of improvement, the rate of learning, and the asymptotic performance level throughout the learning curve remains ambiguous. In this study, older adults underwent ten days of selective attention training using an adaptive algorithm, which enabled a detailed analysis of the learning curve's progression. Cognitive abilities were assessed before and after CT using the Mini-mental State Examination (MMSE) and the Montreal Cognitive Assessment (MoCA). The findings indicated that: (1) Initial performance is positively correlated with Learning amount and asymptotic performance level, and negatively correlated with learning speed; (2) Age is negatively correlated with learning speed, while it is positively correlated with the other three parameters. (3) Higher pre-training MMSE scores predicted higher post-training MMSE scores but less improvement; (4) Higher pre-training MoCA scores predicted higher post-training MoCA scores and less improvement; (5) The parameters of the learning curve did not correlate with performance on the MMSE or MoCA. These results indicate that: (1)Selective attention training using adaptive algorithms is an effective tool for cognitive intervention; (2) Older individuals with poor baseline cognitive abilities require more diversified cognitive training; (3) The study supports the compensation hypothesis.
Recent discoveries indicating that the brain retains its ability to adapt and change throughout life have sparked interest in cognitive training (CT) as a possible means to postpone the development of dementia. Despite this, most research has focused on confirming the efficacy of training outcomes, with few studies examining the correlation between performance and results across various stages of training. In particular, the relationship between initial performance and the extent of improvement, the rate of learning, and the asymptotic performance level throughout the learning curve remains ambiguous. In this study, older adults underwent ten days of selective attention training using an adaptive algorithm, which enabled a detailed analysis of the learning curve's progression. Cognitive abilities were assessed before and after CT using the Mini-mental State Examination (MMSE) and the Montreal Cognitive Assessment (MoCA). The findings indicated that: (1) Initial performance is positively correlated with Learning amount and asymptotic performance level, and negatively correlated with learning speed; (2) Age is negatively correlated with learning speed, while it is positively correlated with the other three parameters. (3) Higher pre-training MMSE scores predicted higher post-training MMSE scores but less improvement; (4) Higher pre-training MoCA scores predicted higher post-training MoCA scores and less improvement; (5) The parameters of the learning curve did not correlate with performance on the MMSE or MoCA. These results indicate that: (1)Selective attention training using adaptive algorithms is an effective tool for cognitive intervention; (2) Older individuals with poor baseline cognitive abilities require more diversified cognitive training; (3) The study supports the compensation hypothesis.
Recent discoveries indicating that the brain retains its ability to adapt and change throughout life have sparked interest in cognitive training (CT) as a possible means to postpone the development of dementia. Despite this, most research has focused on confirming the efficacy of training outcomes, with few studies examining the correlation between performance and results across various stages of training. In particular, the relationship between initial performance and the extent of improvement, the rate of learning, and the asymptotic performance level throughout the learning curve remains ambiguous. In this study, older adults underwent ten days of selective attention training using an adaptive algorithm, which enabled a detailed analysis of the learning curve's progression. Cognitive abilities were assessed before and after CT using the Mini-mental State Examination (MMSE) and the Montreal Cognitive Assessment (MoCA). The findings indicated that: (1) within the learning curve, superior initial performance was associated with greater improvement, quicker learning rates, and a lower asymptotic performance level; (2) higher pre-training MMSE scores predicted higher post-training MMSE scores but less improvement; (3) higher pre-training MoCA scores predicted higher post-training MoCA scores and less improvement; (4) the parameters of the learning curve did not correlate with performance on the MMSE or MoCA; and (5) age did not correlate with any of the variables examined. These results suggest that selective attention training with an adaptive algorithm is an effective tool for cognitive intervention and supports the compensation hypothesis.
Pendahuluan: Beban kerja tidak terbatas pada tugas fisik pekerja, tetapi tugas kognitif dan mental juga memainkan peran penting dalam menciptakan beban kerja mereka. Penelitian ini Mengeksplorasi beban kerja mental, Motivasi, dan pengaruhnya terhadap Kelelahan pekerja pada pekerja di Pabrik Kelapa Sawit PTPN IV Bah Jambi. Penelitian ini menggunakan metode penelitian pendekatan kuantitatif menggunakan metode cross sectional, maka yang digunakan adalah kuesioner. Kuesioner yang digunakan berupa skala model Likert. Populasi penelitian ini sebanyak 68 orang pekerja di bagian pengolahan di Pabrik Kelapa Sawit PTPN IV Bah Jambi. Dengan teknik pengambilan sampel menggunkan total sampling maka, jumlah responden pada penelitian ini sebanyak 68 orang. Analisis data yang di gunakan adalah analisis univariat dan bivariat menggunakan uji chi-square. Penelitian menunjukkan bahwa terdapat hubungan antara beban kerja mental dengan kelelahan kerja dengan hasil uji statistik chi square diperoleh p = 0.001 (? ? 0.05). selain itu, hasil peneltian menunjukkan bahwa terdapat hubungan antara motivasi kerja dengan kelelahan kerja dengan Hasil uji statistik chi square diperoleh p = 0.003 (? ? 0.05) kesimpulan yang dapat diambil dari penelitian ini berdasarkan dari hasil yang diperoleh adalah ada hubungan antara beban merja mental dengan kelelahan kerja, dan ada hubungan antara motivasi kerja dengan kelelahan kerja pada pekerja bagian pengolahan di Pabrik Kelapa Sawit PTPN IV Bah Jambi.
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