Medications and their effects on sleep

Qureshi, Asher; Lee‐Chiong, Teofilo

doi:10.1016/j.mcna.2004.01.007

Cited by 50 publications

(38 citation statements)

References 54 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…It has been shown that a higher frequency of traffic accidents is also associated with factors other than OSAHS: the use of alcohol, chronic sleep deprivation and narcolepsy (21) ; restless legs syndrome and periodic limb movements (22) ; and circadian rhythm sleep disorders (23) and the use of medication. (24) Of the 300 patients, 90.3% were considered overweight or obese. Other authors have described obesity in 66 to 90% of the cases of OSAHS.…”

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Síndrome das apnéias-hipopnéias obstrutivas do sono: associação com gênero e obesidade e fatores relacionados à sonolência

2008

View full text Add to dashboard Cite

Objective: To study the effects that gender and obesity have on excessive daytime sleepiness (EDS) in individuals with obstructive sleep apnea-hypopnea syndrome (OSAHS), as well as to identify factors associated with EDS in such individuals. Methods: A total of 300 consecutive patients who completed the clinical evaluation satisfactorily and whose polysomnography showed an apnea-hypopnea index (AHI) > 10 events/hour of sleep were selected from a sleep clinic population for inclusion in the study. Results: Mean age was 47 ± 11 years, and mean AHI was 52.1 ± 29.2 events/hour of sleep. Females presented higher mean age, lower EDS scores and less time in apnea . Mean EDS score was 14.7 ± 7.2. The EDS score correlated best with body movements (r = 0.43; p < 0.01), respiratory events during sleep (r = 0.40; p < 0.01), duration of apnea (r = 0.40; p < 0.01), peripheral oxygen saturation (SpO 2 ; r = -0.38; p < 0.01) and AHI (r = 0.37; p < 0.01). Mean body mass index (BMI) was 30.2 ± 5.3 kg/m 2 . Overweight, obesity and morbid obesity were observed in 41, 44 and 5.3% of cases, respectively. Disease severity correlated most strongly with BMI (r = 0.51; p < 0.01). Conclusions: Higher mean age, lower EDS scores and less time spent in sleep apnea time in apnea were associated with being female. Fragmented sleep, number/duration of respiratory events during sleep, SpO 2 levels and obesity were associated with sleepiness. The BMI had a significant effect on OSAHS severity.Keywords: Sleep apnea, obstructive; Sleep apnea syndromes; Polysomnography; Sleep stages; Obesity. ResumoObjetivo: Estudar os efeitos de gênero e obesidade e identificar fatores relacionados à sonolência diurna excessiva (SDE) em indivíduos com síndrome das apnéias-hipopnéias obstrutivas do sono (SAHOS). Métodos: Foram selecionados para inclusão no estudo 300 pacientes consecutivos, atendidos em clínica do sono, com índice de apnéia/hipopnéia (IAH) > 10 eventos/hora de sono, que completaram adequadamente a avaliação clínica. Resultados: A média de idade foi de 47 ± 11 anos e o IAH médio foi de 52,1 ± 29,2 eventos/hora de sono. As mulheres apresentaram maior média de idade, menos sonolência e menos tempo em apnéia. O escore médio de SDE foi de 14,7 ± 7,2. O escore de SDE correlacionou-se melhor com movimentos corpóreos (r = 0,43; p < 0,01), eventos respiratórios durante o sono (r = 0,40; p < 0,01), tempo em apnéia (r = 0,40; p < 0,01), valores mínimos da saturação periférica de oxigênio (SpO 2 ; r = -0,38; p < 0,01) e IAH (r = 0,37; p < 0,01). O índice de massa corpórea (IMC) médio foi de 30,2 ± 5,3 kg/m 2 . Sobrepeso, obesidade e obesidade mórbida foram observados em, respectivamente, 41, 44 e 5,3% dos casos. A gravidade da doença correlacionou-se melhor com IMC (r = 0,51; p < 0,01). Conclusões: Maior média de idade, menor escore de SDE e menor tempo em apnéia foram associados ao gênero feminino. Fragmentação do sono, número e duração de eventos respiratórios durante o sono, níveis de SpO 2 e obesidade se associaram à sonolência. O IMC teve efeito significat...

show abstract

Section: Discussionmentioning

confidence: 99%

“…Statistically signifiof hours of sleep. Based on the AHI, OSAHS severity was classified as mild (<15), moderate (15)(16)(17)(18)(19)(20)(21)(22)(23)(24)(25)(26)(27)(28)(29)(30) or severe (>30). (14) Data were stored and analyzed using the program Statistical Package for Social Sciences, version 14.0 (SPSS Inc, Chicago, IL, USA).…”

Section: Methodsmentioning

confidence: 99%

Síndrome das apnéias-hipopnéias obstrutivas do sono: associação com gênero e obesidade e fatores relacionados à sonolência

2008

View full text Add to dashboard Cite

show abstract

“…Finally, a common but frequently overlooked contributor to poor sleep is the medication regimen, including drugs commonly prescribed for HF. 194,195 ␤-Blockers, for example, impair sleep; the mechanism appears to be a decrease in nocturnal production of melatonin. 196 …”

Section: Sleep Disturbancesmentioning

confidence: 99%

State of the Science

Riegel¹,

Moser²,

Anker³

et al. 2009

Circulation

749

366

View full text Add to dashboard Cite

“…However, it can also lead to increased arousal later in the sleep cycle, and with continued use, its benefits as a sleep aid is reduced (Quereshi & Lee-Chiong, 2004). …”

Section: Alcohol and Other Substancesmentioning

confidence: 99%