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How do people with and without insomnia evaluate their sleep: Are they different?
S50
Abstracts/Sleep Medicine 16 (2015) S2–S199
How do people with and without insomnia evaluate their sleep: Are they different? S. Bailes 1, C. Fichten 2, R. Amsel 3, D. Rizzo 4, R. Grad 5, M. Baltzan 6, A. Pavilanis 7, B. Capozzolo 8, E. Libman 1 1 Jewish General Hospital, McGill University, Canada 2 Jewish General Hospital, McGill University, Dawson College, Canada 3 McGill University, Canada 4 Jewish General Hospital, Université de Montréal, Canada 5 Jewish General Hospital, McGill University, Herzl Family Practice Centre, Canada 6 McGill University, OSR Medical, Canada 7 St-Mary’s Hospital, McGill University, Canada 8 OSR Medical, Canada
Introduction: The term “sleep quality” appears often in sleep research, but exactly what it refers to is unspecified. We analyzed two questionnaires that each included a sleep quality item and evaluated the correlates and predictors of these, using the other questionnaire items. Materials and methods: Participants were 88 primary care patients recently diagnosed with OSA: 57 patients seeking cognitivebehavior therapy for insomnia (CBT-I-DIMS), and 26 community participants with no insomnia or OSA (Control Group). OSA participants were divided into DIMS (difficulty initiating and maintaining sleep) and No DIMS groups based on typical research criteria (i.e., at least 31 minutes of undesired wake time at least three times per week with a problem duration at least 1 month). All participants completed a series of questionnaires, including the Sleep Symptom Checklist (SSC) and the Sleep Questionnaire (SQ). On the SSC, participants rate the severity of several sleep-related symptoms from 0 to 3 (very severe), including “Poor Sleep Quality”. The SQ asks the respondent about several sleep parameters as well as sleep related experiences, including “Sleep Quality” rated from 1 (very poor) to 10 (very good). In order to reduce the number of variables into more coherent dimensions, a principle components factor analysis with varimax rotation was performed for individual items from the SQ and the SSC, excluding the two sleep quality items. Subscale scores, based on the factor structure, were then used in regression analyses to predict the sleep quality items. Results: Initial analyses included 34 items from the two questionnaires. The optimal rotated solution yielded five factors based on 24 items. These factors were assigned descriptive labels as follows: Daytime Difficulty, Sleep Initiation, Sleep Continuity, Psychological Distress, and Sleep Apnea. A Non Refreshed factor was added from two items that did not load strongly on other factors, yet were moderately correlated with sleep quality. Analysis of variance, comparing the different groups revealed that the groups with DIMS were similar and significantly different from the groups with no DIMS in their pattern of subscale scores. Therefore, the groups were combined into No DIMS and DIMS groups in order to conduct regression analyses. Linear regression analyses predicting each of the two sleep quality items were carried out separately for each of the No DIMS and DIMS groups. Results indicated that Sleep Continuity and Non Refreshed subscales were important predictors of sleep quality for both groups. For the No DIMS group, Daytime Distress and Sleep Apnea were also important predictors of sleep quality. Conclusion: Sleep continuity and feeling refreshed in the morning are important determinants of the subjective experience of sleep quality for people with and without insomnia. Daytime experience is a particularly salient aspect of sleep quality in individuals.
Acknowledgements: This research was funded by the Canadian Institutes of Health Research (CIHR). http://dx.doi.org/10.1016/j.sleep.2015.02.121
The patient’ view of CPAP treatment: A preliminary study of patient-reported outcomes K. Conrod 1, D. Rizzo 2, D. Tran 2, R. Grad 3, A. Pavilanis 4, S. Bailes 5, L. Creti 5, C. Fichten 6, E. Libman 5 1 Jewish General Hospital, Canada 2 Jewish General Hospital, Université de Montréal, Canada 3 Jewish General Hospital, McGill University, Herzl Family Practice Centre, Canada 4 St-Mary’s Hospital, McGill University, Canada 5 Jewish General Hospital, McGill University, Canada 6 Canada
Introduction: Symptom presentation in OSA is variable and may include complaints of poor sleep, poor daytime functioning, and psychological distress. CPAP treatment is the gold standard, but many patients are non-adherent. Here we investigate views of adherent and non-adherent OSA patients 2 years after diagnosis. Materials and methods: Participants were 12 individuals (six males, six females) 45 years of age and over (median = 59; range = 45–74) who underwent overnight polysomnography and were diagnosed with OSA. All completed a phone interview 2 years after diagnosis and a treatment recommendation of CPAP. The interview included questions about daytime functioning, sleep quality and emotional well-being (rating scales, 0–3). Participants were also asked to openly discuss their thoughts regarding treatment (i.e., difficulties comfort, etc.). Results: Participants were divided into two groups according to self-reported treatment adherence. Seven participants were in the “adherent” group and five participants in the “non-adherent” group. Pre-treatment health-related quality of life (SF-36) scores were similar for both groups. At 2 year follow-up, the adherent group was characterized by significantly (p < 0.05, Mann–Whitney U) better daytime functioning, sleep quality and emotional well-being. Nonadherent participants reported strong negative views related to diagnosis and CPAP adjustment (e.g., “I do not want to sleep with a machine!”), whereas adherent participants reported more positive experiences (e.g., “I can’t live without my CPAP machine!”). Conclusion: These preliminary data indicate that although the two groups started out at the same level, adherent participants experienced better daytime functioning, sleep quality and emotional wellbeing than non-adherent individuals. Understanding adherent users’ experiences may help practitioners tailor treatment recommendations with the aim of improving adherence. Acknowledgements: This research was funded by the Canadian Institutes of Health Research (CIHR). http://dx.doi.org/10.1016/j.sleep.2015.02.122
Study of sleep disorders in flight group and comparison with land group in an Iranian private aviation company in the year 2010 K. Sadeghniiat 1, S. Khazaee 1, O. Aminian 1, P. Momeni 2 1 Society of Occupational Medicine, Iran 2 Iran
Introduction: This research studies the prevalence of sleep disorder in pilot population by using the standard questionnaires, and it can be the foundation of complementary studies and executive
Abstracts/Sleep Medicine 16 (2015) S2–S199
How do people with and without insomnia evaluate their sleep: Are they different? S. Bailes 1, C. Fichten 2, R. Amsel 3, D. Rizzo 4, R. Grad 5, M. Baltzan 6, A. Pavilanis 7, B. Capozzolo 8, E. Libman 1 1 Jewish General Hospital, McGill University, Canada 2 Jewish General Hospital, McGill University, Dawson College, Canada 3 McGill University, Canada 4 Jewish General Hospital, Université de Montréal, Canada 5 Jewish General Hospital, McGill University, Herzl Family Practice Centre, Canada 6 McGill University, OSR Medical, Canada 7 St-Mary’s Hospital, McGill University, Canada 8 OSR Medical, Canada
Introduction: The term “sleep quality” appears often in sleep research, but exactly what it refers to is unspecified. We analyzed two questionnaires that each included a sleep quality item and evaluated the correlates and predictors of these, using the other questionnaire items. Materials and methods: Participants were 88 primary care patients recently diagnosed with OSA: 57 patients seeking cognitivebehavior therapy for insomnia (CBT-I-DIMS), and 26 community participants with no insomnia or OSA (Control Group). OSA participants were divided into DIMS (difficulty initiating and maintaining sleep) and No DIMS groups based on typical research criteria (i.e., at least 31 minutes of undesired wake time at least three times per week with a problem duration at least 1 month). All participants completed a series of questionnaires, including the Sleep Symptom Checklist (SSC) and the Sleep Questionnaire (SQ). On the SSC, participants rate the severity of several sleep-related symptoms from 0 to 3 (very severe), including “Poor Sleep Quality”. The SQ asks the respondent about several sleep parameters as well as sleep related experiences, including “Sleep Quality” rated from 1 (very poor) to 10 (very good). In order to reduce the number of variables into more coherent dimensions, a principle components factor analysis with varimax rotation was performed for individual items from the SQ and the SSC, excluding the two sleep quality items. Subscale scores, based on the factor structure, were then used in regression analyses to predict the sleep quality items. Results: Initial analyses included 34 items from the two questionnaires. The optimal rotated solution yielded five factors based on 24 items. These factors were assigned descriptive labels as follows: Daytime Difficulty, Sleep Initiation, Sleep Continuity, Psychological Distress, and Sleep Apnea. A Non Refreshed factor was added from two items that did not load strongly on other factors, yet were moderately correlated with sleep quality. Analysis of variance, comparing the different groups revealed that the groups with DIMS were similar and significantly different from the groups with no DIMS in their pattern of subscale scores. Therefore, the groups were combined into No DIMS and DIMS groups in order to conduct regression analyses. Linear regression analyses predicting each of the two sleep quality items were carried out separately for each of the No DIMS and DIMS groups. Results indicated that Sleep Continuity and Non Refreshed subscales were important predictors of sleep quality for both groups. For the No DIMS group, Daytime Distress and Sleep Apnea were also important predictors of sleep quality. Conclusion: Sleep continuity and feeling refreshed in the morning are important determinants of the subjective experience of sleep quality for people with and without insomnia. Daytime experience is a particularly salient aspect of sleep quality in individuals.
Acknowledgements: This research was funded by the Canadian Institutes of Health Research (CIHR). http://dx.doi.org/10.1016/j.sleep.2015.02.121
The patient’ view of CPAP treatment: A preliminary study of patient-reported outcomes K. Conrod 1, D. Rizzo 2, D. Tran 2, R. Grad 3, A. Pavilanis 4, S. Bailes 5, L. Creti 5, C. Fichten 6, E. Libman 5 1 Jewish General Hospital, Canada 2 Jewish General Hospital, Université de Montréal, Canada 3 Jewish General Hospital, McGill University, Herzl Family Practice Centre, Canada 4 St-Mary’s Hospital, McGill University, Canada 5 Jewish General Hospital, McGill University, Canada 6 Canada
Introduction: Symptom presentation in OSA is variable and may include complaints of poor sleep, poor daytime functioning, and psychological distress. CPAP treatment is the gold standard, but many patients are non-adherent. Here we investigate views of adherent and non-adherent OSA patients 2 years after diagnosis. Materials and methods: Participants were 12 individuals (six males, six females) 45 years of age and over (median = 59; range = 45–74) who underwent overnight polysomnography and were diagnosed with OSA. All completed a phone interview 2 years after diagnosis and a treatment recommendation of CPAP. The interview included questions about daytime functioning, sleep quality and emotional well-being (rating scales, 0–3). Participants were also asked to openly discuss their thoughts regarding treatment (i.e., difficulties comfort, etc.). Results: Participants were divided into two groups according to self-reported treatment adherence. Seven participants were in the “adherent” group and five participants in the “non-adherent” group. Pre-treatment health-related quality of life (SF-36) scores were similar for both groups. At 2 year follow-up, the adherent group was characterized by significantly (p < 0.05, Mann–Whitney U) better daytime functioning, sleep quality and emotional well-being. Nonadherent participants reported strong negative views related to diagnosis and CPAP adjustment (e.g., “I do not want to sleep with a machine!”), whereas adherent participants reported more positive experiences (e.g., “I can’t live without my CPAP machine!”). Conclusion: These preliminary data indicate that although the two groups started out at the same level, adherent participants experienced better daytime functioning, sleep quality and emotional wellbeing than non-adherent individuals. Understanding adherent users’ experiences may help practitioners tailor treatment recommendations with the aim of improving adherence. Acknowledgements: This research was funded by the Canadian Institutes of Health Research (CIHR). http://dx.doi.org/10.1016/j.sleep.2015.02.122
Study of sleep disorders in flight group and comparison with land group in an Iranian private aviation company in the year 2010 K. Sadeghniiat 1, S. Khazaee 1, O. Aminian 1, P. Momeni 2 1 Society of Occupational Medicine, Iran 2 Iran
Introduction: This research studies the prevalence of sleep disorder in pilot population by using the standard questionnaires, and it can be the foundation of complementary studies and executive