Browsing by Subject "sleep disorders"

Now showing 1 - 4 of 4
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    Morning Blood Pressure is Associated with Sleep Quality in Obese Adolescents
    (Elsevier, 2014-02) Hannon, Tamara S.; Tu, Wanzhu; Watson, Sara E.; Jalou, Hasnaa; Chakravorty, Sangeeta; Arslanian, Silva; Department of Pediatrics, IU School of Medicine
    Objective To examine relationships between blood pressure (BP), adiposity, and sleep quality using overnight polysomnography (PSG) in obese adolescents. Study design Overnight PSG and morning BP measurements were performed in obese (BMI >97th %ile) non-diabetic adolescents (eligible age range 12-18 years, n=49). Subjects were stratified into two groups, one with normal BP, and one with elevated BP, and demographic and clinical characteristics compared between the groups. Multiple linear regression analysis was used to assess the BP effects of sleep quality measures. Results Participants (n=27) had normal morning BP, and 22 (44.9%) had elevated morning BP. There were no differences in age (p=0.53), sex (p=0.44), race (p=0.58) or BMI (p=0.56) between the two BP groups. The group with elevated BP spent shorter percentages of time in rapid eye movement (REM; p=0.006) and slow-wave sleep (SWS; p=0.024). Multiple linear regression analysis showed a lower percent of both REM and SWS were associated with increased morning BP, after adjusting for pubertal stage, sex, race, and BMI. Conclusion Lack of deeper stages of sleep, REM sleep and SWS, is associated with higher morning BP in obese adolescents, independent of BMI. Poor sleep quality should be considered in the work-up of obese youth with hypertension. Intervention studies are needed to evaluate whether improving the quality of sleep will reduce blood pressure elevation.
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    Systematic review of sleep disorders in cancer patients: can the prevalence of sleep disorders be ascertained?
    (2014-11) Otte, Julie L.; Carpenter, Janet S.; Manchanda, Shalini; Rand, Kevin L.; Skaar, Todd C.; Weaver, Michael T.; Chernyak, Yelena; Zhong, Xin; Igega, Christele; Landis, Carol
    Although sleep is vital to all human functioning and poor sleep is a known problem in cancer, it is unclear whether the overall prevalence of the various types of sleep disorders in cancer is known. The purpose of this systematic literature review was to evaluate if the prevalence of sleep disorders could be ascertained from the current body of literature regarding sleep in cancer. This was a critical and systematic review of peer-reviewed, English-language, original articles published from 1980 through 15 October 2013, identified using electronic search engines, a set of key words, and prespecified inclusion and exclusion criteria. Information from 254 full-text, English-language articles was abstracted onto a paper checklist by one reviewer, with a second reviewer randomly verifying 50% (k = 99%). All abstracted data were entered into an electronic database, verified for accuracy, and analyzed using descriptive statistics and frequencies in SPSS (v.20) (North Castle, NY). Studies of sleep and cancer focus on specific types of symptoms of poor sleep, and there are no published prevalence studies that focus on underlying sleep disorders. Challenging the current paradigm of the way sleep is studied in cancer could produce better clinical screening tools for use in oncology clinics leading to better triaging of patients with sleep complaints to sleep specialists, and overall improvement in sleep quality.
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    Unexplained Practice Variation in Primary Care Providers' Concern for Pediatric Obstructive Sleep Apnea
    (APA, 2018) Honaker, Sarah; Dugan, Tamara; Daftary, Ameet; Davis, Stephanie; Saha, Chandan; Baye, Fitsum; Freeman, Emily; Downs, Stephen; Pediatrics, School of Medicine
    Objective To examine primary care provider (PCP) screening practice for obstructive sleep apnea (OSA) and predictive factors for screening habits. A secondary objective was to describe the polysomnography (PSG) completion proportion and outcome. We hypothesized that both provider and child health factors would predict PCP suspicion of OSA. Methods A computer decision support system that automated screening for snoring was implemented in five urban primary care clinics in Indianapolis, Indiana. We studied 1086 snoring children between 1 and 11 years seen by 26 PCPs. We used logistic regression to examine the association between PCP suspicion of OSA and child demographics, child health characteristics, provider characteristics, and clinic site. Results PCPs suspected OSA in 20% of snoring children. Factors predicting PCP concern for OSA included clinic site (p < .01; OR=0.13), Spanish language (p < .01; OR=0.53), provider training (p=.01; OR=10.19), number of training years (p=.01; OR=4.26) and child age (p<.01), with the youngest children least likely to elicit PCP concern for OSA (OR=0.20). No patient health factors (e.g., obesity) were significantly predictive. Proportions of OSA suspicion were variable between clinic sites (range 6% to 28%) and between specific providers (range 0% to 63%). Of children referred for PSG (n=100), 61% completed the study. Of these, 67% had OSA. Conclusions Results suggest unexplained small area practice variation in PCP concern for OSA amongst snoring children. It is likely that many children at-risk for OSA remain unidentified. An important next step is to evaluate interventions to support PCPs in evidence-based OSA identification.
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    The Use of Computer Decision Support for Pediatric Obstructive Sleep Apnea Detection in Primary Care.
    (AASM, 2019-03) Honaker, Sarah M.; Street, Ashley; Daftary, Ameet S.; Downs, Stephen M.; Pediatrics, School of Medicine
    Study Objectives To (1) describe outcomes from a computer decision support system (CDSS) for pediatric obstructive sleep apnea (OSA) detection in primary care; and (2) identity the prevalence of children meeting criteria for an OSA referral. Methods A CDSS for OSA was implemented in two urban primary care clinics. Parents of children (age 2 to 11 years) presenting to the clinic were asked if their child snored regularly, with a positive response resulting in six additional OSA screening items. Primary care providers (PCPs) received a prompt for all snoring children, listing applicable OSA signs and symptoms and recommending further evaluation and referral for OSA. Results A total of 2,535 children were screened for snoring, identifying 475 snoring children (18.7%). Among snoring children, PCPs referred 40 (15.4%) for further evaluation. The prevalence of additional OSA signs and symptoms ranged from 3.5% for underweight to 43.7% for overweight. A total of 74.7% of snoring children had at least one additional sign or symptom and thus met American Academy of Pediatrics guidelines criteria for an OSA referral. Conclusions A CDSS can be used to support PCPs in identifying children at risk for OSA. Most snoring children met criteria for further evaluation. It will be important to further evaluate this referral threshold as well as the readiness of the sleep medicine field to meet this need.