Pittsburgh Sleep Quality Index

Raven’s progressive matrices

Justification not yet generated — showing supporting facts

• The correlation between Pittsburgh Sleep Quality Index (PSQI) scores and Raven's Progressive Matrices (RPM) performance is -0.25 (p < 0.001).
• The study 'Investigating the impact of sleep quality on cognitive functions' utilized a moderation analysis to test whether the relationship between sleep quality (PSQI scores) and cognitive performance (measured by RAVLT, Stroop Test, RPM, and WCST) differs significantly between university students in Tokyo and London.
• The relationship between Pittsburgh Sleep Quality Index (PSQI) scores and Raven's Progressive Matrices (RPM) performance does not differ significantly between students in Tokyo and London (β = −0.05, p = 0.32).
• The study used the Pittsburgh Sleep Quality Index (PSQI), actigraphy, and a battery of cognitive assessments including the Rey Auditory Verbal Learning Test (RAVLT), Stroop Test, Raven's Progressive Matrices (RPM), and Wisconsin Card Sorting Test (WCST) to measure sleep and cognitive performance.
• The correlation between Pittsburgh Sleep Quality Index (PSQI) scores and Raven's Progressive Matrices (RPM) performance is −0.30 in Tokyo and −0.15 in London.
• In London, the correlation between Pittsburgh Sleep Quality Index (PSQI) scores and Raven's Progressive Matrices (RPM) performance is marginally significant at p = 0.04, while other cognitive correlations are significant at p < 0.01 or p < 0.001.
• Higher Pittsburgh Sleep Quality Index (PSQI) scores, which indicate poorer sleep quality, are associated with lower performance on the Rey Auditory Verbal Learning Test (RAVLT), Stroop Test, Raven's Progressive Matrices (RPM), and Wisconsin Card Sorting Test (WCST) (p < 0.001).
• The correlation between Pittsburgh Sleep Quality Index (PSQI) scores and Raven's Progressive Matrices (RPM) performance is −0.25, which is statistically significant at p < 0.001.
• The correlation between Pittsburgh Sleep Quality Index (PSQI) scores and the Rey Auditory Verbal Learning Test (RAVLT) is r = -0.32 (p < 0.001); the correlation with the Stroop Test is r = -0.28 (p < 0.001); the correlation with Raven's Progressive Matrices (RPM) is r = -0.25 (p < 0.001); and the correlation with the Wisconsin Card Sorting Test (WCST) is r = -0.35 (p < 0.001).
• In regression analyses predicting cognitive performance from Pittsburgh Sleep Quality Index (PSQI) scores, the standardized regression coefficient (β) for the RAVLT is -0.20 (SE 0.05, p < 0.001), for the Stroop Test is -0.15 (SE 0.04, p < 0.001), for the RPM is -0.12 (SE 0.03, p < 0.01), and for the WCST is -0.23 (SE 0.06, p < 0.001).
• Regression analyses indicate that Pittsburgh Sleep Quality Index (PSQI) scores significantly predict performance on cognitive measures (RAVLT, Stroop Test, RPM, and WCST) even after controlling for demographic variables (age, gender, socioeconomic status) and actigraphy-measured sleep duration and efficiency.
• The Pittsburgh Sleep Quality Index (PSQI) score significantly predicts performance on the Raven's Progressive Matrices (RPM) (β = -0.12, p < 0.01) after controlling for demographic variables, suggesting that sleep quality independently contributes to non-verbal reasoning abilities.
• Higher Pittsburgh Sleep Quality Index (PSQI) scores are associated with lower Raven's Progressive Matrices (RPM) scores, indicating that poorer sleep quality is linked to poorer non-verbal reasoning.
• The correlation between Pittsburgh Sleep Quality Index (PSQI) scores and RPM performance is −0.30 (p < 0.001) for students in Tokyo and −0.15 (p = 0.04) for students in London.
• Poorer sleep quality, as measured by the Pittsburgh Sleep Quality Index (PSQI), is significantly associated with lower Raven's Progressive Matrices (RPM) non-verbal reasoning scores (β = −0.20, p < 0.001) across both Tokyo and London student populations.
• Poor sleep quality, as measured by the Pittsburgh Sleep Quality Index (PSQI), is significantly associated with lower cognitive performance across domains including verbal learning and memory (measured by the Rey Auditory Verbal Learning Test), attention and executive function (measured by the Stroop Test), non-verbal reasoning (measured by the Raven's Progressive Matrices), and cognitive flexibility (measured by the Wisconsin Card Sorting Test).
• A study investigating university students in Tokyo, Japan, and London, UK, found significant negative associations between sleep quality (measured by the Pittsburgh Sleep Quality Index) and cognitive performance across domains including verbal learning and memory (RAVLT), attention and executive function (Stroop Test), non-verbal reasoning (RPM), and cognitive flexibility (WCST).

Rey Auditory Verbal Learning Test

Justification not yet generated — showing supporting facts

• The study 'Investigating the impact of sleep quality on cognitive functions' utilized a moderation analysis to test whether the relationship between sleep quality (PSQI scores) and cognitive performance (measured by RAVLT, Stroop Test, RPM, and WCST) differs significantly between university students in Tokyo and London.
• The correlation coefficient (r) between Pittsburgh Sleep Quality Index (PSQI) scores and Rey Auditory Verbal Learning Test (RAVLT) performance is -0.32 (p < 0.001).
• The study used the Pittsburgh Sleep Quality Index (PSQI), actigraphy, and a battery of cognitive assessments including the Rey Auditory Verbal Learning Test (RAVLT), Stroop Test, Raven's Progressive Matrices (RPM), and Wisconsin Card Sorting Test (WCST) to measure sleep and cognitive performance.
• A moderation analysis comparing Tokyo and London showed that the relationship between Pittsburgh Sleep Quality Index (PSQI) scores and Rey Auditory Verbal Learning Test (RAVLT) performance was significantly stronger in Tokyo (β = -0.35, p < 0.001) than in London (β = -0.15, p < 0.05).
• Higher Pittsburgh Sleep Quality Index (PSQI) scores, which indicate poorer sleep quality, are associated with lower performance on the Rey Auditory Verbal Learning Test (RAVLT), Stroop Test, Raven's Progressive Matrices (RPM), and Wisconsin Card Sorting Test (WCST) (p < 0.001).
• In a moderation analysis of university students in Tokyo and London, the relationship between sleep quality (measured by PSQI) and RAVLT performance showed a standardized regression coefficient (β) of -0.35 (p < 0.001), indicating that poorer sleep quality is associated with lower verbal learning and memory scores across both cities.
• The interaction between Pittsburgh Sleep Quality Index (PSQI) scores and city location significantly affects Rey Auditory Verbal Learning Test (RAVLT) performance (β = −0.20, p = 0.03), indicating the relationship between sleep quality and verbal memory differs between Tokyo and London.
• The correlation between Pittsburgh Sleep Quality Index (PSQI) scores and the Rey Auditory Verbal Learning Test (RAVLT) is r = -0.32 (p < 0.001); the correlation with the Stroop Test is r = -0.28 (p < 0.001); the correlation with Raven's Progressive Matrices (RPM) is r = -0.25 (p < 0.001); and the correlation with the Wisconsin Card Sorting Test (WCST) is r = -0.35 (p < 0.001).
• In regression analyses predicting cognitive performance from Pittsburgh Sleep Quality Index (PSQI) scores, the standardized regression coefficient (β) for the RAVLT is -0.20 (SE 0.05, p < 0.001), for the Stroop Test is -0.15 (SE 0.04, p < 0.001), for the RPM is -0.12 (SE 0.03, p < 0.01), and for the WCST is -0.23 (SE 0.06, p < 0.001).
• Regression analyses indicate that Pittsburgh Sleep Quality Index (PSQI) scores significantly predict performance on cognitive measures (RAVLT, Stroop Test, RPM, and WCST) even after controlling for demographic variables (age, gender, socioeconomic status) and actigraphy-measured sleep duration and efficiency.
• The correlation between Pittsburgh Sleep Quality Index (PSQI) scores and Rey Auditory Verbal Learning Test (RAVLT) performance is -0.32 (p < 0.001), indicating a moderate negative relationship between sleep quality and verbal learning and memory.
• The correlation between Pittsburgh Sleep Quality Index (PSQI) scores and RAVLT performance is −0.40 (p < 0.001) for students in Tokyo and −0.25 (p < 0.01) for students in London.
• In a moderation analysis of university students in Tokyo and London, the interaction between sleep quality (PSQI) and city on RAVLT performance showed a standardized regression coefficient (β) of -0.20 (p = 0.03), suggesting the relationship between sleep quality and verbal learning and memory is significantly different between the two cities.
• Poor sleep quality, as measured by the Pittsburgh Sleep Quality Index (PSQI), is significantly associated with lower cognitive performance across domains including verbal learning and memory (measured by the Rey Auditory Verbal Learning Test), attention and executive function (measured by the Stroop Test), non-verbal reasoning (measured by the Raven's Progressive Matrices), and cognitive flexibility (measured by the Wisconsin Card Sorting Test).
• The correlation between Pittsburgh Sleep Quality Index (PSQI) scores and Rey Auditory Verbal Learning Test (RAVLT) performance is −0.40 in Tokyo and −0.25 in London.
• The Pittsburgh Sleep Quality Index (PSQI) score significantly predicts performance on the Rey Auditory Verbal Learning Test (RAVLT) (β = -0.20, p < 0.001) after controlling for demographic variables, indicating that poorer sleep quality independently predicts lower verbal memory and learning performance.
• A study investigating university students in Tokyo, Japan, and London, UK, found significant negative associations between sleep quality (measured by the Pittsburgh Sleep Quality Index) and cognitive performance across domains including verbal learning and memory (RAVLT), attention and executive function (Stroop Test), non-verbal reasoning (RPM), and cognitive flexibility (WCST).

Wisconsin Card Sorting Test

Justification not yet generated — showing supporting facts

• The study 'Investigating the impact of sleep quality on cognitive functions' utilized a moderation analysis to test whether the relationship between sleep quality (PSQI scores) and cognitive performance (measured by RAVLT, Stroop Test, RPM, and WCST) differs significantly between university students in Tokyo and London.
• The study used the Pittsburgh Sleep Quality Index (PSQI), actigraphy, and a battery of cognitive assessments including the Rey Auditory Verbal Learning Test (RAVLT), Stroop Test, Raven's Progressive Matrices (RPM), and Wisconsin Card Sorting Test (WCST) to measure sleep and cognitive performance.
• The correlation between Pittsburgh Sleep Quality Index (PSQI) scores and Wisconsin Card Sorting Test (WCST) performance is −0.35, which is statistically significant at p < 0.001.
• Higher Pittsburgh Sleep Quality Index (PSQI) scores, which indicate poorer sleep quality, are associated with lower performance on the Rey Auditory Verbal Learning Test (RAVLT), Stroop Test, Raven's Progressive Matrices (RPM), and Wisconsin Card Sorting Test (WCST) (p < 0.001).
• The correlation between Pittsburgh Sleep Quality Index (PSQI) scores and WCST performance is −0.42 (p < 0.001) for students in Tokyo and −0.28 (p < 0.001) for students in London.
• The correlation between Pittsburgh Sleep Quality Index (PSQI) scores and the Rey Auditory Verbal Learning Test (RAVLT) is r = -0.32 (p < 0.001); the correlation with the Stroop Test is r = -0.28 (p < 0.001); the correlation with Raven's Progressive Matrices (RPM) is r = -0.25 (p < 0.001); and the correlation with the Wisconsin Card Sorting Test (WCST) is r = -0.35 (p < 0.001).
• In regression analyses predicting cognitive performance from Pittsburgh Sleep Quality Index (PSQI) scores, the standardized regression coefficient (β) for the RAVLT is -0.20 (SE 0.05, p < 0.001), for the Stroop Test is -0.15 (SE 0.04, p < 0.001), for the RPM is -0.12 (SE 0.03, p < 0.01), and for the WCST is -0.23 (SE 0.06, p < 0.001).
• The correlation between Pittsburgh Sleep Quality Index (PSQI) scores and Wisconsin Card Sorting Test (WCST) performance is -0.42 in Tokyo and -0.28 in London, indicating a stronger negative relationship between sleep quality and cognitive flexibility in Tokyo.
• The Pittsburgh Sleep Quality Index (PSQI) score significantly predicts performance on the Wisconsin Card Sorting Test (WCST) (β = -0.23, p < 0.001) after controlling for demographic variables, indicating that sleep quality independently impacts cognitive flexibility and set-shifting abilities.
• Regression analyses indicate that Pittsburgh Sleep Quality Index (PSQI) scores significantly predict performance on cognitive measures (RAVLT, Stroop Test, RPM, and WCST) even after controlling for demographic variables (age, gender, socioeconomic status) and actigraphy-measured sleep duration and efficiency.
• The correlation between Pittsburgh Sleep Quality Index (PSQI) scores and Wisconsin Card Sorting Test (WCST) performance is -0.35 (p < 0.001).
• The interaction term (PSQI x City) for the impact of sleep quality on Wisconsin Card Sorting Test (WCST) performance was measured at β = −0.12 with a p-value of 0.09, indicating the result is not statistically significant at the conventional p < 0.05 level.
• Higher Pittsburgh Sleep Quality Index (PSQI) scores are associated with lower Wisconsin Card Sorting Test (WCST) scores, indicating that poorer sleep quality is linked to poorer cognitive flexibility and more perseverative errors.
• Poor sleep quality, as measured by the Pittsburgh Sleep Quality Index (PSQI), is significantly associated with lower cognitive performance across domains including verbal learning and memory (measured by the Rey Auditory Verbal Learning Test), attention and executive function (measured by the Stroop Test), non-verbal reasoning (measured by the Raven's Progressive Matrices), and cognitive flexibility (measured by the Wisconsin Card Sorting Test).
• A study investigating university students in Tokyo, Japan, and London, UK, found significant negative associations between sleep quality (measured by the Pittsburgh Sleep Quality Index) and cognitive performance across domains including verbal learning and memory (RAVLT), attention and executive function (Stroop Test), non-verbal reasoning (RPM), and cognitive flexibility (WCST).
• The interaction term between sleep quality (measured by the Pittsburgh Sleep Quality Index) and city location (Tokyo vs. London) on Wisconsin Card Sorting Test (WCST) performance resulted in β = −0.12 and p = 0.09, indicating the result is not statistically significant at the conventional p < 0.05 level.

Stroop task

Justification not yet generated — showing supporting facts

• The study 'Investigating the impact of sleep quality on cognitive functions' utilized a moderation analysis to test whether the relationship between sleep quality (PSQI scores) and cognitive performance (measured by RAVLT, Stroop Test, RPM, and WCST) differs significantly between university students in Tokyo and London.
• The study used the Pittsburgh Sleep Quality Index (PSQI), actigraphy, and a battery of cognitive assessments including the Rey Auditory Verbal Learning Test (RAVLT), Stroop Test, Raven's Progressive Matrices (RPM), and Wisconsin Card Sorting Test (WCST) to measure sleep and cognitive performance.
• The correlation between Pittsburgh Sleep Quality Index (PSQI) scores and Stroop Test performance is -0.28 (p < 0.001), indicating a weak to moderate negative relationship between sleep quality and attention and executive function.
• Higher Pittsburgh Sleep Quality Index (PSQI) scores, which indicate poorer sleep quality, are associated with lower performance on the Rey Auditory Verbal Learning Test (RAVLT), Stroop Test, Raven's Progressive Matrices (RPM), and Wisconsin Card Sorting Test (WCST) (p < 0.001).
• The Pittsburgh Sleep Quality Index (PSQI) score significantly predicts performance on the Stroop Test (β = -0.15, p < 0.001) after controlling for demographic variables, indicating that poor sleep quality has an independent negative influence on attention and executive function.
• The correlation between Pittsburgh Sleep Quality Index (PSQI) scores and the Rey Auditory Verbal Learning Test (RAVLT) is r = -0.32 (p < 0.001); the correlation with the Stroop Test is r = -0.28 (p < 0.001); the correlation with Raven's Progressive Matrices (RPM) is r = -0.25 (p < 0.001); and the correlation with the Wisconsin Card Sorting Test (WCST) is r = -0.35 (p < 0.001).
• Poorer sleep quality, as measured by the Pittsburgh Sleep Quality Index (PSQI), is significantly associated with slower Stroop Test performance (β = −0.25, p < 0.001) across both Tokyo and London student populations.
• In regression analyses predicting cognitive performance from Pittsburgh Sleep Quality Index (PSQI) scores, the standardized regression coefficient (β) for the RAVLT is -0.20 (SE 0.05, p < 0.001), for the Stroop Test is -0.15 (SE 0.04, p < 0.001), for the RPM is -0.12 (SE 0.03, p < 0.01), and for the WCST is -0.23 (SE 0.06, p < 0.001).
• The correlation between Pittsburgh Sleep Quality Index (PSQI) scores and Stroop test performance is −0.35 (p < 0.001) for students in Tokyo and −0.20 (p < 0.01) for students in London.
• Regression analyses indicate that Pittsburgh Sleep Quality Index (PSQI) scores significantly predict performance on cognitive measures (RAVLT, Stroop Test, RPM, and WCST) even after controlling for demographic variables (age, gender, socioeconomic status) and actigraphy-measured sleep duration and efficiency.
• The correlation coefficient (r) between Pittsburgh Sleep Quality Index (PSQI) scores and Stroop Test performance is -0.28 (p < 0.001).
• The relationship between Pittsburgh Sleep Quality Index (PSQI) scores and Stroop Test performance does not differ significantly between students in Tokyo and London (β = −0.10, p = 0.21).
• The relationship between Pittsburgh Sleep Quality Index (PSQI) scores and Stroop Test performance does not differ significantly between Tokyo and London (β = −0.10, p = 0.21), suggesting the magnitude of the effect of sleep quality on attention and executive function is consistent across both cultural contexts.
• The correlation between Pittsburgh Sleep Quality Index (PSQI) scores and Stroop Test performance is −0.35 in Tokyo and −0.20 in London.
• Poor sleep quality, as measured by the Pittsburgh Sleep Quality Index (PSQI), is significantly associated with lower cognitive performance across domains including verbal learning and memory (measured by the Rey Auditory Verbal Learning Test), attention and executive function (measured by the Stroop Test), non-verbal reasoning (measured by the Raven's Progressive Matrices), and cognitive flexibility (measured by the Wisconsin Card Sorting Test).
• A study investigating university students in Tokyo, Japan, and London, UK, found significant negative associations between sleep quality (measured by the Pittsburgh Sleep Quality Index) and cognitive performance across domains including verbal learning and memory (RAVLT), attention and executive function (Stroop Test), non-verbal reasoning (RPM), and cognitive flexibility (WCST).

sleep quality

The Pittsburgh Sleep Quality Index (PSQI) is a standardized instrument used to measure and quantify sleep quality, where higher scores directly indicate poorer sleep quality as evidenced by [1], [2], and [3]. Researchers utilize this index to assess sleep quality in relation to various cognitive performance metrics [4], [5]. — 15 supporting facts

attention

The Pittsburgh Sleep Quality Index is used to measure sleep quality, which has been shown to have a significant negative influence on attention and executive function as evidenced by [1], [2], [3], and [4]. — 4 supporting facts

London

London is a primary location used in comparative studies of university students to measure sleep quality via the Pittsburgh Sleep Quality Index (PSQI), as evidenced by the comparative data in [1], [2], and [3]. These studies analyze how PSQI scores correlate with various cognitive performance metrics specifically within the London student population [4], [5], and [6]. — 28 supporting facts

Tokyo

Tokyo is the location where the Pittsburgh Sleep Quality Index (PSQI) was used to measure sleep quality in university students, as detailed in studies comparing their cognitive performance to students in London [1], [2], and [3]. The PSQI scores in Tokyo were specifically analyzed for their correlation with various cognitive test performances [4], [5], [6], and [7]. — 27 supporting facts