Presence of Allergies and Their Impact on Sleep in Children Who Stutter

2020 ◽  
Vol 5 (6) ◽  
pp. 1454-1466
Author(s):  
Patrick M. Briley ◽  
Sandra Merlo

Purpose Population-based research has identified insomnia or trouble sleeping, sleepiness during the day, and fatigue during the day as frequent coexisting conditions in children who stutter (CWS). Considering that allergies are well known to disturb sleep, the purpose of this study was to explore if there is an association between the presence of allergies and sleep issues among CWS, as well as if allergies are frequent in CWS. Method Data from the 2012 National Health Interview Survey were used. Children used in this sample were those whose caregivers answered definitively whether or not the child stuttered within the past 12 months. Additionally, caregivers identified the presence of allergies and/or asthma and the presence of insomnia or trouble sleeping in the sample child. Results The sample included 200 CWS and 9,951 children who do not stutter (CWNS). The odds of insomnia/trouble sleeping were greater in CWS who present with allergies and/or asthma, with the exception of food allergy, compared to CWS who do not present with with allergies and/or asthma. Additionally, the odds of insomnia/trouble sleeping were greater in CWS without any allergy, asthma, and coexisting disability ( OR = 7.48, p < .001) as compared to CWNS without any allergy, asthma, and coexisting disability. The presence of either any allergy or an asthma attack was higher among CWS (46.4%) compared to CWNS (29.5%), p < .001. Specifically, CWS were found to be at greater odds of presenting with any kind of respiratory allergy ( OR = 1.72, p = .034), food allergy ( OR = 2.32, p = .002), and skin allergy ( OR = 1.84, p = .009) than CWNS. Conclusions CWS were found to be at greater odds of allergies and asthma, conditions that also impair sleep. Interestingly, insomnia/trouble sleeping was prevalent among CWS, even when allergies, asthma, and coexisting disabilities were not present. The possible implications of these findings are discussed.

2021 ◽  
Vol 10 (2) ◽  
pp. 119-126 ◽  
Author(s):  
Omar Abdel-Rahman

Objective: To assess the patient-related barriers to access of some virtual healthcare tools among cancer patients in the USA in a population-based cohort. Materials & methods: National Health Interview Survey datasets (2011–2018) were reviewed and adult participants (≥18 years old) with a history of cancer diagnosis and complete information about virtual healthcare utilization (defined by [a] filling a prescription on the internet in the past 12 months and/or [b] communicating with a healthcare provider through email in the past 12 months) were included. Information about video-conferenced phone calls and telephone calls are not available in the National Health Interview Survey datasets; and thus, they were not examined in this study. Multivariable logistic regression analysis was used to evaluate factors associated with the utilization of virtual care tools. Results: A total of 25,121 participants were included in the current analysis; including 4499 participants (17.9%) who utilized virtual care in the past 12 months and 20,622 participants (82.1%) who did not utilize virtual care in the past 12 months. The following factors were associated with less utilization of virtual healthcare tools in multivariable logistic regression: older age (continuous odds ratio [OR] with increasing age: 0.987; 95% CI: 0.984–0.990), African-American race (OR for African American vs white race: 0.608; 95% CI: 0.517–0.715), unmarried status (OR for unmarried compared with married status: 0.689; 95% CI: 0.642–0.739), lower level of education (OR for education ≤high school vs >high school: 0.284; 95% CI: 0.259–0.311), weaker English proficiency (OR for no proficiency vs very good proficiency: 0.224; 95% CI: 0.091–0.552) and lower yearly earnings (OR for earnings <$45,000 vs earnings >$45,000: 0.582; 95% CI: 0.523–0.647). Conclusion: Older patients, those with African-American race, lower education, lower earnings and weak English proficiency are less likely to access the above studied virtual healthcare tools. Further efforts are needed to tackle disparities in telemedicine access.


Stroke ◽  
2013 ◽  
Vol 44 (suppl_1) ◽  
Author(s):  
Abhishek Pandey ◽  
Martina R Gallagher ◽  
Prabhat Soni ◽  

INTRODUCTION: There is limited description of the various relaxation techniques used by stroke survivors at a population level. Objective: We examined and described differences in relaxation techniques among stroke survivors from a nationally representative survey. Methods: Analysis was based on the 2007 National Health Interview Survey (NHIS) (n=23,393 adults (>18 years); mean age=45.8; female=51.7%). The NHIS is a cross-sectional household interview survey utilizing a multistage area probability design. Data was collected by trained personnel from the US Census Bureau in face-to-face interviews. Respondents provided anthropometric and sociodemographic data and information on physician-diagnosed chronic conditions, including self-reported stroke and use of relaxation techniques (i.e. acupuncture, deep breathing exercises, guided imagery, meditation (also asked if ever), progressive relaxation, stress management class, support group meeting, practice yoga) in the past 12 months. All analyses were performed using SAS 9.3 (SAS, Inc, Cary, NC), applying relevant sample weights. Results: Self-reported stroke prevalence was 2.4% (Unweighted:647; weighted: 5,425,685). Self-identified stroke survivors were more likely to report being female, obese, widowed, and Black/African Americans compared to non-stroke survivors (p<0.05). The most common relaxation technique was deep breathing exercises (13.1%) and least reported was utilization of stress management class (1.1%). Stroke survivors were more likely to report using acupuncture and employing deep breathing exercises (2.2% versus 1.4% and 13.1% versus 12.4%; p<0.05) compared to those not reporting stroke. They were also less likely to practice yoga in the past 12 months compared to non-stroke survivors (2.3 % versus 5.8% ; p<0.05). Other relaxation measures comparisons were not significant. Conclusions: Our analysis of epidemiologic stroke data suggests that individuals who survived stroke utilize relaxation techniques such as acupuncture and deep breathing. Future research is needed to evaluate if these relaxation techniques assist stroke survivors with better health and quality of life outcomes in long-term rehabilitation.


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