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Inspection of the distribution of the diary variable revealed a significant deviation from normality.
For instance, to detect a statistically significant difference in the sleep diary variable with the smallest effect size (0.06 for WASO), a total sample size of 2175 would be required, while only 60 participants (30 per group) would be necessary to detect a significant difference in sleep onset latency (effect size of 0.47).
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Those gender specific studies found that urinary diary variables are affected by age and race.
Objective: The purpose of this study was to determine normal ranges for voiding diary variables for a racially diverse sample of women without lower urinary tract symptoms in the United States.
However, in contrast to these clear differences in subjective symptoms the differences in objective sleep diary variables, daytime hypersomnia scales, and PSG sleep parameters between migraineurs and controls were smaller.
Secondary outcome variables included spirometry, diary variables, and assessment of health-related quality-of-life (HRQL).
This study determined the correlation of changes in bladder diary variables and other PROs in subjects with overactive bladder (OAB).
Treatment with antimuscarinics is associated with significant improvement in HRQL, symptom bother, and perception of treatment benefit, as well as improvement in bladder diary variables [ 16- 19].
Diary variables were morning and evening PEF, COPD symptom scores (night-time awakenings due to symptoms, breathlessness, and cough), and use of salbutamol as reliever medication (measured as inhalations/day).
Evidence suggests that treatment effects on the number and/or severity of OAB symptoms and urodynamic variables may not be fully predictive of treatment effects on HRQL and other PROs that are not based on changes in bladder diary variables, leading some authors to advocate that the use of these PROs become standard in clinical studies of OAB [ 20].
Since these latter two variable was very skewed, with many having no crisis or utilization, for analysis the diary variables were divided into 3 categories of roughly equal size (coded 1, 2, 3): Percent of days with self-reported crises: 0, 0.1 10, 10+; Percent of days with utilization: 0, 0.1–3+ 3+.
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