Sleep Problems, Social Anxiety and Stuttering Severity in Adults Who Do and Adults Who Do Not Stutter

Allergies, asthma, and sleep problems in adults who stutter

PURPOSE

Previous studies have suggested that allergies, asthma, and sleep problems are prevalent in those who stutter. This study analyzed similar data for a broad age group of adults who stutter (AWS).

METHOD

Data from the 2012 National Health Interview Survey were analyzed. Adults from 18 to 60 + years of age reported a) to have stuttered, b) to have had any allergy, asthma, or acid reflux, c) to have had insomnia/trouble sleeping and daytime negative consequences, and d) average sleeping hours per day in the past 12 months.

RESULTS

The sample included 320 AWS and 33,043 controls. AWS were at greater odds of respiratory, food, and skin allergies (OR = 2.38, 2.36, and 2.09, respectively), as well as asthma and acid reflux (OR = 2.30 and 2.01, respectively) than controls. AWS were at greater odds of insomnia/trouble sleeping, oversleeping, excessive sleepiness, and fatigue than controls (OR = 2.11, 1.71, 2.67, and 1.81, respectively). The subgroup of AWS with no allergy, asthma, and acid reflux were also at greater odds of insomnia/trouble sleeping and excessive sleepiness than controls (OR = 2.13 and 3.11, respectively). Differences were found in specific age groups: younger/middle-aged AWS reported more allergies, asthma, and acid reflux than controls, while older AWS did not; younger/middle-aged AWS reported more insomnia/trouble sleeping than controls, while older AWS reported more oversleeping.

CONCLUSIONS

Findings on younger and middle-aged AWS are similar to previous ones on children and adolescents who stutter. Differences regarding younger/middle-aged and older AWS could be consequence of environmental variables.

Risk of sleep problems in a clinical sample of children who stutter

PURPOSE

Previous studies have shown increased prevalence of sleep problems among people who stutter. However, there is a lack of knowledge about what these sleep problems may specifically be.

METHOD

Fifty children who stutter (CWS) from 6;0 to 12;9 years of age and 50 age- and gender-matched controls participated in this study. Parents did not report coexisting conditions, excepting stuttering and/or sleep problems. Sleep problems were investigated using a standardized questionnaire answered by parents. The questionnaire shows cut-off scores to identify the risk of sleep problems as a whole and on each one of the six subscales (i.e., disorders of initiating and maintaining sleep; sleep breathing disorders; disorders of arousal; sleep-wake transition disorders; disorders of excessive somnolence; and sleep hyperhidrosis). Scores above the cut-off are suggestive of sleep problems.

RESULTS

Twenty-one CWS scored higher than the cut-off on the sleep questionnaire compared to only two controls (p < 0.00001). Specifically, CWS scored higher than controls in disorders of initiating and maintaining sleep, sleep-wake transition disorders (especially jerking, sleep talking, and bruxism), and disorders of excessive somnolence (p < 0.0083, corrected for multiple comparisons).

DISCUSSION

Compared to controls, CWS are at greater risk for sleep problems, which are not consequences of coexisting disorders. Present findings confirm and expand current knowledge about sleep problems in CWS. Directionality possibilities and clinical implications are discussed.

Associations between Stress, Anxiety, Depression and Sleep Quality among Healthcare Students

OBJECTIVES

Stress, anxiety, and depression among students have many negative health consequences and may predispose students to poor sleep quality; therefore, this research aimed to investigate the perceived stress, anxiety, and depression and their relation to the level of sleep quality among healthcare students.

METHODS

A cross-sectional study using a validated survey was conducted among Saudi healthcare students from different regions during the period from 26 September 2022 to 30 October 2022. The Pittsburgh Sleep Quality Index (PSQI) was utilized to assess sleep quality. PSPP Statistical Analysis Software version 1.2.0 was used for all statistical analyses.

RESULTS

701 respondents participated in this research; the response rate was 73.8%. About 60% of the study sample was female, and the average age was 20.9 years. 80.3% of students have poor sleep quality; the participants' mean sleeping hours per night was 6.81 ± 1.88 h. About three-quarters of students (72.9%) perceive themselves as stressed. A significant positive correlation was observed between sleep quality and perceived stress (r-value = 0.363), anxiety (r-value = 0.387), and depression (r-value = 0.347). Poor sleep quality was more likely among those with stress than those without stress (AOR = 1.79; 95% CI 1.07, 2.99) and two times more likely among students with cases of anxiety than those without anxiety (AOR = 2.07; 95% CI 1.10, 3.94).

CONCLUSIONS

Our study highlights the high prevalence of poor sleep quality, anxiety, depression, and stress among healthcare students in Saudi Arabia. Students' reported stress, anxiety, and residence region were associated with poor sleep quality. These results imply the necessity of regular screening and appropriate intervention for sleep problems, stressors, and anxiety among healthcare students.