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Nocturia reported in nightly sleep diaries: common occurrence with significant implications?

ABSTRACT: Nocturia (nocturnal awakenings associated with urination) is so common a nocturnal behavior that its association with poor sleep is often overlooked. This study examined nocturia and its potential role in poor sleep by examining reported nightly awakenings and associated bathroom trips.Sleep diaries were kept by 119 adults with poor sleep for intervals up to 14 days. Diaries collected data on nightly number of awakenings and nightly number of bathroom trips. The proportion of nocturnal awakenings accompanied by voiding for each night was calculated and averaged within each individual. Demographics and various health conditions were examined in relation to this measure.Nocturia was defined when at least two-thirds of all awakenings were associated with nocturnal voiding. Absence of nocturia was defined when less than one-third of awakenings were associated with voiding. Remaining cases were defined as having possible nocturia. Estimates of nocturia derived from prestudy screening were related to nocturia as defined by sleep diaries. Neither gender nor sleep apnea was associated with nocturia. Unadjusted analyses indicated that individuals with nocturia were more likely to have arthritis and attribute their nighttime awakenings to urge to void than individuals without nocturia.Nocturia is an exceedingly common phenomenon and may be associated with multiple morbidities. RESULTS are discussed in terms of causality and whether the perceived urge to void precedes or follows nocturnal awakening. Correlates of nocturia have important implications, because they can inform interventions that target brain (e.g., cognitive-behavioral treatments for insomnia, sedative/hypnotic medications) versus bladder (e.g., bladder control exercises, medications affecting urine production or urgency).

SUBMITTER: Bliwise DL

PROVIDER: S-EPMC4119089 | biostudies-literature | 2014 Nov

REPOSITORIES: biostudies-literature

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Nocturia reported in nightly sleep diaries: common occurrence with significant implications?

Bliwise Donald L DL Friedman Leah L Hernandez Beatriz B Zeitzer Jamie M JM Kushida Clete A CA Yesavage Jerome A JA

Health psychology : official journal of the Division of Health Psychology, American Psychological Association 20131118 11

<h4>Objective</h4>Nocturia (nocturnal awakenings associated with urination) is so common a nocturnal behavior that its association with poor sleep is often overlooked. This study examined nocturia and its potential role in poor sleep by examining reported nightly awakenings and associated bathroom trips.<h4>Methods</h4>Sleep diaries were kept by 119 adults with poor sleep for intervals up to 14 days. Diaries collected data on nightly number of awakenings and nightly number of bathroom trips. The ...[more]

PMID: 24245840

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Project description:ObjectiveA realistic seizure diary simulator is currently unavailable for many research needs, including clinical trial analysis and evaluation of seizure detection and seizure-forecasting tools. In recent years, important statistical features of seizure diaries have been characterized. These include (1) heterogeneity of individual seizure frequencies, (2) the relation between average seizure rate and standard deviation, (3) multiple risk cycles, (4) seizure clusters, and (5) limitations on inter-seizure intervals. The present study unifies these features into a single model.MethodsOur approach, Cyclic Heterogeneous Overdispersed Clustered Open-source L-relationship Adjustable Temporally limited E-diary Simulator (CHOCOLATES) is based on a hierarchical model centered on a gamma Poisson generator with several modifiers. This model accounts for the aforementioned statistical properties. The model was validated by simulating 10 000 randomized clinical trials (RCTs) of medication to compare with 23 historical RCTs. Metrics of 50% responder rate (RR50) and median percent change (MPC) were evaluated. We also used CHOCOLATES as input to a seizure-forecasting tool to test the flexibility of the model. We examined the area under the receiver-operating characteristic (ROC) curve (AUC) for test data with and without cycles and clusters.ResultsThe model recapitulated typical findings in 23 historical RCTs without the necessity of introducing an additional "placebo effect." The model produced the following RR50 values: placebo: 17 ± 4%; drug 38 ± 5%; and the following MPC values: placebo: 13 ± 6%; drug 40 ± 4%. These values are similar to historical data: for RR50: placebo, 21 ± 10%, drug: 43 ± 13%; and for MPC: placebo: 17 ± 10%, drug: 41 ± 11%. The seizure forecasts achieved an AUC of 0.68 with cycles and clusters, whereas without them the AUC was 0.51.SignificanceCHOCOLATES represents the most realistic seizure occurrence simulator to date, based on observations from thousands of patients in different contexts. This tool is open source and flexible, and can be used for many applications, including clinical trial simulation and testing of seizure-forecasting tools.

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Nocturia reported in nightly sleep diaries: common occurrence with significant implications?

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Nocturia reported in nightly sleep diaries: common occurrence with significant implications?

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