79 research outputs found

    Psychological Functioning and Disease-Related Quality of Life in Pediatric Patients With an Implantable Cardioverter Defibrillator

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    The objective of this multicenter study was to evaluate psychological functioning and disease-related quality of life (DRQoL) in pediatric patients with an implantable cardioverter defibrillator (ICD) in The Netherlands. Thirty patients were investigated; the mean age was 16.3Ā years, and the mean duration of implantation was 3.6Ā years. To assess psychological problems, three domains of the Symptom Checklist (SCL-90-R) were administered to the 25 patientsĀ >13Ā years old. DRQoL was assessed with a disease-specific pediatric questionnaire, the short-form 11-item Worries About (WA)ICDs Scale. PatientsĀ ā‰„13Ā years old scored significantly higher than the reference group on the domains of anxiety, depression, and sleeping problems of the SCL-90-R (TĀ =Ā 7.5, pĀ <Ā 0.001; TĀ =Ā 5.4, pĀ <Ā 0.001; and TĀ =Ā 7.8, pĀ <Ā 0.001, respectively). Patients who had received an (in)appropriate shock reported more depressive symptoms (TĀ =Ā 2.1, pĀ <Ā 0.03). Patients withĀ >2Ā years implant duration (NĀ =Ā 19) or who had received an (in)appropriate shock (NĀ =Ā 13) showed lower DRQoL scores on the modified WAICD (TĀ =Ā 2.1, pĀ <Ā 0.04; TĀ =Ā 2.1, pĀ <Ā 0.5, respectively). Age at implantation or underlying disease did not influence psychological problems or DRQoL. Young ICD patients showed more anxiety, depression, and sleeping disorders. Worries were increased among patients with ICD shocks and in those who had their ICD implanted forĀ >2Ā years. To determine psychological problems and help children to learn to cope with shocks, proper guidance and monitoring of young ICD patients are recommended

    Clinical Phenotypes and Comorbidity in European Sleep Apnoea Patients

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    Background Clinical presentation phenotypes of obstructive sleep apnoea (OSA) and their association with comorbidity as well as impact on adherence to continuous positive airway pressure (CPAP) treatment have not been established. Methods A prospective follow-up cohort of adult patients with OSA (apnoea-hypopnoea index (AHI) of 655/h) from 17 European countries and Israel (n = 6,555) was divided into four clinical presentation phenotypes based on daytime symptoms labelled as excessive daytime sleepiness ("EDS") and nocturnal sleep problems other than OSA (labelled as "insomnia"): 1) EDS (daytime+/nighttime-), 2) EDS/insomnia (daytime+/nighttime+), 3) non-EDS/noninsomnia (daytime-/nighttime-), 4) and insomnia (daytime-/nighttime+) phenotype. Results The EDS phenotype comprised 20.7%, the non-EDS/non-insomnia type 25.8%, the EDS/ insomnia type 23.7%, and the insomnia phenotype 29.8% of the entire cohort. Thus, clinical presentation phenotypes with insomnia symptoms were dominant with 53.5%, but only 5.6% had physician diagnosed insomnia. Cardiovascular comorbidity was less prevalent in the EDS and most common in the insomnia phenotype (48.9% vs. 56.8%, p<0.001) despite more severe OSA in the EDS group (AHI 35.0\ub125.5/h vs. 27.9\ub122.5/h, p<0.001, respectively). Psychiatric comorbidity was associated with insomnia like OSA phenotypes independent of age, gender and body mass index (HR 1.5 (1.188-1.905), p<0.001). The EDS phenotype tended to associate with higher CPAP usage (22.7 min/d, p = 0.069) when controlled for age, gender, BMI and sleep apnoea severity. Conclusions Phenotypes with insomnia symptoms comprised more than half of OSA patients and were more frequently linked with comorbidity than those with EDS, despite less severe OSA. CPAP usage was slightly higher in phenotypes with EDS

    Cross-sectional associations between multiple lifestyle behaviors and health-related quality of life in the 10,000 steps cohort

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    Background: The independent and combined influence of smoking, alcohol consumption, physical activity, diet, sitting time, and sleep duration and quality on health status is not routinely examined. This study investigates the relationships between these lifestyle behaviors, independently and in combination, and health-related quality of life (HRQOL). Methods: Adult members of the 10,000 Steps project (n = 159,699) were invited to participate in an online survey in November-December 2011. Participant socio-demographics, lifestyle behaviors, and HRQOL (poor self-rated health; frequent unhealthy days) were assessed by self-report. The combined influence of poor lifestyle behaviors were examined, independently and also as part of two lifestyle behavior indices, one excluding sleep quality (Index 1) and one including sleep quality (Index 2). Adjusted Cox proportional hazard models were used to examine relationships between lifestyle behaviors and HRQOL. Results: A total of 10,478 participants provided complete data for the current study. For Index 1, the Prevalence Ratio (p value) of poor self-rated health was 1.54 (p = 0.001), 2.07 (pā‰¤0.001), 3.00 (pā‰¤0.001), 3.61 (pā‰¤0.001) and 3.89 (pā‰¤0.001) for people reporting two, three, four, five and six poor lifestyle behaviors, compared to people with 0-1 poor lifestyle behaviors. For Index 2, the Prevalence Ratio (p value) of poor self-rated health was 2.26 (p = 0.007), 3.29 (pā‰¤0.001), 4.68 (pā‰¤0.001), 6.48 (pā‰¤0.001), 7.91 (pā‰¤0.001) and 8.55 (pā‰¤0.001) for people reporting two, three, four, five, six and seven poor lifestyle behaviors, compared to people with 0-1 poor lifestyle behaviors. Associations between the combined lifestyle behavior index and frequent unhealthy days were statistically significant and similar to those observed for poor self-rated health. Conclusions: Engaging in a greater number of poor lifestyle behaviors was associated with a higher prevalence of poor HRQOL. This association was exacerbated when sleep quality was included in the index. Ā© 2014 Duncan et al

    Sleep-apnea risk and subclinical atherosclerosis in early-middle-aged retired National Football League players

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    Faith S Luyster,1 Reginald E Dunn,2 Diane S Lauderdale,3 Mercedes R Carnethon,4 Andrew M Tucker,5 Robert A Vogel,6 Andrew E Lincoln,2 Kristen L Knutson,7 Elliot J Pellman,8&ndash;10 Patrick J Strollo Jr11 1School of Nursing, University of Pittsburgh, Pittsburgh, PA, 2Sports Medicine Research Center, MedStar Health Research Institute, Baltimore, MD, 3Department of Public Health Sciences, University of Chicago, 4Department of Preventive Medicine, Northwestern University, Chicago, IL, 5MedStar Sports Medicine, MedStar Union Memorial Hospital, Baltimore, MD, 6Cardiology Section, Department of Veterans Affairs Medical Center, Denver, CO, 7Department of Medicine, University of Chicago, Chicago, IL, 8ProHealth Care Associates, Lake Success, 9Department of Medicine, 10Department of Orthopedics, Mount Sinai School of Medicine, New York, NY, 11Department of Pulmonary, Allergy, and Critical Care Medicine, University of Pittsburgh Medical Center, Pittsburgh, PA, USA Purpose: Limited data from former National Football League (NFL) players suggest that obstructive sleep apnea (OSA) may be highly prevalent after retirement. It remains unclear whether the high prevalence of OSA in retired players is comparable to nonathletes. This retrospective analysis compared sleep apnea (SA) risk in retired NFL players to a community cohort (CARDIA Sleep study), and examined associations between SA risk and cardiovascular risk factors, including subclinical atherosclerosis.Materials and methods: Retired NFL players (n=122) were matched to CARDIA Sleep participants by age &plusmn;2 years (range 37&ndash;55 years), body mass index &plusmn;2 kg/m2, race, and male sex. Participants underwent electron-beam computed tomography to measure coronary artery calcium (CAC) and completed the Berlin Questionnaire to determine SA risk. The presence of CAC was defined as an Agatston score &gt;0.Results: Retired NFL players had a greater prevalence of high SA risk than the matched CARDIA Sleep participants (27% vs 11.5%, P=0.002). Compared to the CARDIA Sleep participants, retired players were less likely to smoke, and had higher blood pressure, lower fasting glucose levels, and higher cholesterol levels. However, there was no difference in the prevalence of detectable CAC (30% vs 30%, P=1). In both players and the community cohort, SA risk was not significantly associated with CAC after controlling for age, race, and body mass index.Conclusion: Retired NFL players have a greater prevalence of high SA risk but similar prevalence of CAC compared with a well-matched community cohort.Keywords: sleep apnea, cardiovascular risk, coronary artery calcium, national football leagu
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