Pub Date : 2023-07-14DOI: 10.5005/jp-journals-10069-0111
Aliza Reshi
{"title":"Sleep Paralysis: Prevalence in Indian College Students, Locus of Control and Susceptibility to Stress","authors":"Aliza Reshi","doi":"10.5005/jp-journals-10069-0111","DOIUrl":"https://doi.org/10.5005/jp-journals-10069-0111","url":null,"abstract":"","PeriodicalId":90527,"journal":{"name":"Indian journal of sleep medicine","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44506654","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-07-14DOI: 10.5005/jp-journals-10069-0112
Aditya Ashok, R. Bhaskaran, A. Kunoor, N. Haridas, Nidhi Sudhakar
{"title":"Prevalence and Clinical Features of Rapid Eye Movement-related Obstructive Sleep Apnea: A Cross-sectional Analysis of Clinical Population from South India","authors":"Aditya Ashok, R. Bhaskaran, A. Kunoor, N. Haridas, Nidhi Sudhakar","doi":"10.5005/jp-journals-10069-0112","DOIUrl":"https://doi.org/10.5005/jp-journals-10069-0112","url":null,"abstract":"","PeriodicalId":90527,"journal":{"name":"Indian journal of sleep medicine","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45498619","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-07-14DOI: 10.5005/jp-journals-10069-0110
K. Mishra, A. Reshamvala, Harshal Sathe, Vrushti Bharat Patil
{"title":"Effects of Lockdown on Sleep Pattern in the General Population during COVID-19 Pandemic","authors":"K. Mishra, A. Reshamvala, Harshal Sathe, Vrushti Bharat Patil","doi":"10.5005/jp-journals-10069-0110","DOIUrl":"https://doi.org/10.5005/jp-journals-10069-0110","url":null,"abstract":"","PeriodicalId":90527,"journal":{"name":"Indian journal of sleep medicine","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43808411","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-07-14DOI: 10.5005/jp-journals-10069-0113
B. Bhattacharya, K. B. K. Reddy
{"title":"Knowledge, Attitude, Practices, and Training of Pediatricians in India Regarding Sleep Disorders in Children: A Need to Wake Up!","authors":"B. Bhattacharya, K. B. K. Reddy","doi":"10.5005/jp-journals-10069-0113","DOIUrl":"https://doi.org/10.5005/jp-journals-10069-0113","url":null,"abstract":"","PeriodicalId":90527,"journal":{"name":"Indian journal of sleep medicine","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48555146","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Objectives: This study aimed to investigate group differences in demographic, clinical, and polysomnographic characteristics based on the presence or absence of excessive daytime sleepiness (EDS) and insomnia symptoms.Methods: In this retrospective study, patients were divided into five groups based on their Epworth Sleepiness Scale and Insomnia Severity Index scores. The participants’ demographics, sleep-related symptoms, questionnaires, and polysomnography findings were used in the analysis.Results: The study found that patients in the group with EDS were younger, were mostly males, and had higher body mass index (BMI) than other groups. They also reported obstructive sleep apnea symptoms. The patients in the group with both EDS and insomnia were younger and had a higher BMI than other groups. They reported higher levels of fatigue and depression, as well as insomnia, rapid eye movement sleep behavior disorder and restless legs syndrome symptoms. The patients in the group with only insomnia had a higher proportion of females, were older, and had a lower BMI than other groups. Most characteristics of the patients in the threshold insomnia group were similar to those of the patients in the EDS-insomnia group. The normal group had a higher proportion of males and a higher prevalence of obstructive sleep apnea; however, they reported lower sleep-related symptoms. Furthermore, the polysomnography showed differences among the five groups in total sleep time, sleep latency, sleep efficiency, total arousal index, and spontaneous arousal. Total apnea-hypopnea index was significantly lower in the insomnia group than that in other groups.Conclusions: This study demonstrated the clinical and polysomnographic characteristics of the five groups through self-reported questionnaires. The findings provided evidence to help assess patients’ sleep problems and the possibility of sleep disorders.
{"title":"Clinical and Polysomnographic Characteristics of Patients Complaining of Excessive Daytime Sleepiness and/or Insomnia","authors":"Sujin Lee, Jooyeon Song, E. Joo","doi":"10.13078/jsm.230008","DOIUrl":"https://doi.org/10.13078/jsm.230008","url":null,"abstract":"Objectives: This study aimed to investigate group differences in demographic, clinical, and polysomnographic characteristics based on the presence or absence of excessive daytime sleepiness (EDS) and insomnia symptoms.Methods: In this retrospective study, patients were divided into five groups based on their Epworth Sleepiness Scale and Insomnia Severity Index scores. The participants’ demographics, sleep-related symptoms, questionnaires, and polysomnography findings were used in the analysis.Results: The study found that patients in the group with EDS were younger, were mostly males, and had higher body mass index (BMI) than other groups. They also reported obstructive sleep apnea symptoms. The patients in the group with both EDS and insomnia were younger and had a higher BMI than other groups. They reported higher levels of fatigue and depression, as well as insomnia, rapid eye movement sleep behavior disorder and restless legs syndrome symptoms. The patients in the group with only insomnia had a higher proportion of females, were older, and had a lower BMI than other groups. Most characteristics of the patients in the threshold insomnia group were similar to those of the patients in the EDS-insomnia group. The normal group had a higher proportion of males and a higher prevalence of obstructive sleep apnea; however, they reported lower sleep-related symptoms. Furthermore, the polysomnography showed differences among the five groups in total sleep time, sleep latency, sleep efficiency, total arousal index, and spontaneous arousal. Total apnea-hypopnea index was significantly lower in the insomnia group than that in other groups.Conclusions: This study demonstrated the clinical and polysomnographic characteristics of the five groups through self-reported questionnaires. The findings provided evidence to help assess patients’ sleep problems and the possibility of sleep disorders.","PeriodicalId":90527,"journal":{"name":"Indian journal of sleep medicine","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84835490","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
J. Yoon, D. Oh, I. Hwang, Wookwon Lee, Chang-Ho Yun
Objectives: This study aimed to elucidate whether a comprehensive intervention focusing on individual characteristics could enhance adherence to Continuous Positive Airway Pressure (CPAP) in patients with Obstructive Sleep Apnea (OSA).Methods: We conducted a single-arm, pilot intervention study, recruiting participants aged ≥20 years with suspected OSA. All participants underwent split-night polysomnography and received standardized CPAP treatment. We identified five categories of factors contributing to poor CPAP adherence: mouth breathing, high CPAP pressure causing sleep initiation difficulties, bradypnea or hyperpnea before sleep onset, postarousal central apnea, and nasal dryness and obstruction. We objectively measured CPAP adherence data at 1, 3, 6 and 12 months after a comprehensive intervention targeting individual characteristics. We analyzed the trends in CPAP adherence rates over 1 year.Results: A total of 48 participants (74.0% males; 56.9±13.9 years old) were followed up for 12 months. CPAP adherence rate was 77.1% at 1 month; declined to 60.4%, 39.6%, and 31.3% at 3, 6, and 12 months, respectively. There was no significant difference in demographic and psychological factors, sleep-related symptoms, and sleep characteristics between the adherence and the non-adherence groups. Low body mass index was an independent risk factor affecting CPAP adherence (odds ratios 0.78, p=0.04).Conclusions: Although our study did not yield significant improvements in CPAP adherence through the comprehensive intervention that targeted individual characteristics, it is significant because it attempted to provide a multidimensional approach to intervention, rather than targeting a single aspect, in promoting CPAP adherence.
{"title":"Encouraging Continuous Positive Airway Pressure Adherence With Personalized Strategies","authors":"J. Yoon, D. Oh, I. Hwang, Wookwon Lee, Chang-Ho Yun","doi":"10.13078/jsm.230010","DOIUrl":"https://doi.org/10.13078/jsm.230010","url":null,"abstract":"Objectives: This study aimed to elucidate whether a comprehensive intervention focusing on individual characteristics could enhance adherence to Continuous Positive Airway Pressure (CPAP) in patients with Obstructive Sleep Apnea (OSA).Methods: We conducted a single-arm, pilot intervention study, recruiting participants aged ≥20 years with suspected OSA. All participants underwent split-night polysomnography and received standardized CPAP treatment. We identified five categories of factors contributing to poor CPAP adherence: mouth breathing, high CPAP pressure causing sleep initiation difficulties, bradypnea or hyperpnea before sleep onset, postarousal central apnea, and nasal dryness and obstruction. We objectively measured CPAP adherence data at 1, 3, 6 and 12 months after a comprehensive intervention targeting individual characteristics. We analyzed the trends in CPAP adherence rates over 1 year.Results: A total of 48 participants (74.0% males; 56.9±13.9 years old) were followed up for 12 months. CPAP adherence rate was 77.1% at 1 month; declined to 60.4%, 39.6%, and 31.3% at 3, 6, and 12 months, respectively. There was no significant difference in demographic and psychological factors, sleep-related symptoms, and sleep characteristics between the adherence and the non-adherence groups. Low body mass index was an independent risk factor affecting CPAP adherence (odds ratios 0.78, p=0.04).Conclusions: Although our study did not yield significant improvements in CPAP adherence through the comprehensive intervention that targeted individual characteristics, it is significant because it attempted to provide a multidimensional approach to intervention, rather than targeting a single aspect, in promoting CPAP adherence.","PeriodicalId":90527,"journal":{"name":"Indian journal of sleep medicine","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74119789","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Objectives: Nocturnal hypoventilation is a complication of neuromuscular disorders. There are various recommendations for measuring pCO2 during polysomnography and numerous national and international definitions of hypoventilation that could contribute to significant variations in clinical practice. We therefore aimed to determine clinical practices implemented by Australasian pediatric sleep physicians.Methods: Pediatric sleep physicians completed an electronic survey for information regarding pCO2 measurements and definitions of hypoventilation that are followed for children with neuromuscular disorders.Results: It was found that transcutaneous measurement of pCO2 was performed in all centers, with 25% of the centers simultaneously performing capnography. Twelve definitions of hypoventilation were used, including published definitions from the American Academy of Sleep Medicine (AASM) manual and recommendations of the pediatric Australasian Sleep Association/Australasian Sleep Technologists Association. The most commonly used definition of hypoventilation (9/17, 53%) was the 2012 pediatric AASM definition (pCO2 >50 mmHg for >25% of the total sleep time). There was a discrepancy between centers and individuals within the same center when defining hypoventilation. Answers stating the use of the Australasian definitions (rise in pCO2 ≥10 mmHg from wake to sleep, average rise in pCO2 ≥3 mmHg from non rapid eye movement to rapid eye movement sleep) were more frequent when asked specifically via a checkbox (yes/no) compared to free text.Conclusions: These results confirm the heterogeneity and lack of standardization of clinical practice within Australasia when measuring pCO2 during polysomnography and defining hypoventilation. The Australasian definitions were not used as frequently as anticipated.
{"title":"Diagnosis of Nocturnal Hypoventilation in Pediatric Neuromuscular Disorders: A Survey of Clinical Practice in Australia and New Zealand","authors":"A. Withers, J. Downs, Andrew C. Wilson, G. Hall","doi":"10.13078/jsm.230005","DOIUrl":"https://doi.org/10.13078/jsm.230005","url":null,"abstract":"Objectives: Nocturnal hypoventilation is a complication of neuromuscular disorders. There are various recommendations for measuring pCO2 during polysomnography and numerous national and international definitions of hypoventilation that could contribute to significant variations in clinical practice. We therefore aimed to determine clinical practices implemented by Australasian pediatric sleep physicians.Methods: Pediatric sleep physicians completed an electronic survey for information regarding pCO2 measurements and definitions of hypoventilation that are followed for children with neuromuscular disorders.Results: It was found that transcutaneous measurement of pCO2 was performed in all centers, with 25% of the centers simultaneously performing capnography. Twelve definitions of hypoventilation were used, including published definitions from the American Academy of Sleep Medicine (AASM) manual and recommendations of the pediatric Australasian Sleep Association/Australasian Sleep Technologists Association. The most commonly used definition of hypoventilation (9/17, 53%) was the 2012 pediatric AASM definition (pCO2 >50 mmHg for >25% of the total sleep time). There was a discrepancy between centers and individuals within the same center when defining hypoventilation. Answers stating the use of the Australasian definitions (rise in pCO2 ≥10 mmHg from wake to sleep, average rise in pCO2 ≥3 mmHg from non rapid eye movement to rapid eye movement sleep) were more frequent when asked specifically via a checkbox (yes/no) compared to free text.Conclusions: These results confirm the heterogeneity and lack of standardization of clinical practice within Australasia when measuring pCO2 during polysomnography and defining hypoventilation. The Australasian definitions were not used as frequently as anticipated.","PeriodicalId":90527,"journal":{"name":"Indian journal of sleep medicine","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83018690","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Objectives: We aimed to examine the relationship between alexithymia and sleep, independent of depression and anxiety.Methods: This cross-sectional study included participants who visited our sleep clinic between 2016 and 2022. In total, 142 participants (98 males and 44 females) were included, and they completed the Toronto Alexithymia Scale-20 (TAS-20). Epworth Sleepiness Scale (ESS), Pittsburgh Sleep Quality Index (PSQI), and Insomnia Severity Index (ISI) scores were also recorded. The relationship between alexithymia and sleep (PSQI, ISI, and ESS scores) was determined after controlling for demographic and psychological (Beck Depression Inventory and State Trait Anxiety Inventory-Trait) variables.Results: Individuals with alexithymia had significantly higher PSQI, ESS, and ISI scores than those without alexithymia. Correlation analysis showed significant correlations between the total TAS-20 score and ISI (r=0.321) and ESS (r=0.253) scores. In multivariate linear regression analysis, the total TAS-20 score (β=0.201; p=0.022) was significantly associated with the ESS score.Conclusions: Alexithymia was associated with the severity of insomnia and daytime sleepiness in adults. However, when considering depression and anxiety in multivariate analysis, alexithymia was significantly associated with daytime sleepiness; however, its relationship with the severity of insomnia was not significant.
{"title":"Is Alexithymia Associated With Sleep Disturbances, Independent of Depression and Anxiety?","authors":"Su-Hyun Han, Yi-Seul Choo, Ga Eun Koo, Yu Kang","doi":"10.13078/jsm.230006","DOIUrl":"https://doi.org/10.13078/jsm.230006","url":null,"abstract":"Objectives: We aimed to examine the relationship between alexithymia and sleep, independent of depression and anxiety.Methods: This cross-sectional study included participants who visited our sleep clinic between 2016 and 2022. In total, 142 participants (98 males and 44 females) were included, and they completed the Toronto Alexithymia Scale-20 (TAS-20). Epworth Sleepiness Scale (ESS), Pittsburgh Sleep Quality Index (PSQI), and Insomnia Severity Index (ISI) scores were also recorded. The relationship between alexithymia and sleep (PSQI, ISI, and ESS scores) was determined after controlling for demographic and psychological (Beck Depression Inventory and State Trait Anxiety Inventory-Trait) variables.Results: Individuals with alexithymia had significantly higher PSQI, ESS, and ISI scores than those without alexithymia. Correlation analysis showed significant correlations between the total TAS-20 score and ISI (r=0.321) and ESS (r=0.253) scores. In multivariate linear regression analysis, the total TAS-20 score (β=0.201; p=0.022) was significantly associated with the ESS score.Conclusions: Alexithymia was associated with the severity of insomnia and daytime sleepiness in adults. However, when considering depression and anxiety in multivariate analysis, alexithymia was significantly associated with daytime sleepiness; however, its relationship with the severity of insomnia was not significant.","PeriodicalId":90527,"journal":{"name":"Indian journal of sleep medicine","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84103099","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Objectives: Galaxy Watch 3 (GW3) is a commercially available smartwatch equipped with a sleep-tracking function capable of collecting longitudinal sleep data in a real-world environment. We aimed to investigate the validity of GW3 for estimating sleep stages compared with reference data from polysomnography (PSG).Methods: Thirty-two healthy adults (mean age 37.8, male 87.5%) were recruited to wear a GW3 concurrently with in-laboratory overnight PSG recording. Sleep parameters, including total sleep time (TST) and the duration of each sleep stage (light, deep, and rapid eye movement [REM] sleep), were calculated for both GW3 and PSG. Sleep parameters were compared using intraclass correlation coefficients (ICCs) and Bland–Altman plots. The epoch-by-epoch classification performance was evaluated to determine the sensitivity, specificity, accuracy, kappa values, and confusion matrices.Results: Bland–Altman plots showed moderate agreement between GW3 and PSG for TST (ICC=0.640), light sleep (ICC=0.518), and deep sleep (ICC=0.639), whereas REM sleep duration was not reliably estimated using the GW3. The GW3 overestimated TST by a mean of 9.5 min. The sensitivity of epoch-by-epoch sleep detection was 0.954; however, the specificity was 0.524. The sensitivity of each sleep stage estimation was 0.695 for light sleep, 0.612 for deep sleep, and 0.598 for REM sleep. The overall accuracy of GW3 in distinguishing the four-stage sleep epochs was 0.651.Conclusions: GW3 demonstrated high performance in sleep detection but moderate performance in wake determination and sleep stage estimation compared with PSG results, which were comparable to previously reported results for other consumer wearable devices.
{"title":"Validation of the Samsung Smartwatch for Sleep–Wake Determination and Sleep Stage Estimation","authors":"Dongyeop Kim, E. Joo, S. Choi","doi":"10.13078/jsm.230004","DOIUrl":"https://doi.org/10.13078/jsm.230004","url":null,"abstract":"Objectives: Galaxy Watch 3 (GW3) is a commercially available smartwatch equipped with a sleep-tracking function capable of collecting longitudinal sleep data in a real-world environment. We aimed to investigate the validity of GW3 for estimating sleep stages compared with reference data from polysomnography (PSG).Methods: Thirty-two healthy adults (mean age 37.8, male 87.5%) were recruited to wear a GW3 concurrently with in-laboratory overnight PSG recording. Sleep parameters, including total sleep time (TST) and the duration of each sleep stage (light, deep, and rapid eye movement [REM] sleep), were calculated for both GW3 and PSG. Sleep parameters were compared using intraclass correlation coefficients (ICCs) and Bland–Altman plots. The epoch-by-epoch classification performance was evaluated to determine the sensitivity, specificity, accuracy, kappa values, and confusion matrices.Results: Bland–Altman plots showed moderate agreement between GW3 and PSG for TST (ICC=0.640), light sleep (ICC=0.518), and deep sleep (ICC=0.639), whereas REM sleep duration was not reliably estimated using the GW3. The GW3 overestimated TST by a mean of 9.5 min. The sensitivity of epoch-by-epoch sleep detection was 0.954; however, the specificity was 0.524. The sensitivity of each sleep stage estimation was 0.695 for light sleep, 0.612 for deep sleep, and 0.598 for REM sleep. The overall accuracy of GW3 in distinguishing the four-stage sleep epochs was 0.651.Conclusions: GW3 demonstrated high performance in sleep detection but moderate performance in wake determination and sleep stage estimation compared with PSG results, which were comparable to previously reported results for other consumer wearable devices.","PeriodicalId":90527,"journal":{"name":"Indian journal of sleep medicine","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86854125","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
M. Huston, A. Withers, J. Lam, Andrew Wilson, J. Downs
Objectives: To explore how respiratory health and sleep problems affect mental health in children and adolescents with neuromuscular disorders (NMDs).Methods: A qualitative descriptive study was carried out with content analysis of in-depth interviews conducted with children with NMDs and their parents. Data were collected during semi-structured interviews with children with NMDs and their parents. A total of 14 families were recruited (17 parents and 7 children and adolescents with NMD aged 5–17 years). Each interview was conducted with 1–3 family member(s).Results: Engagement in community activities, meaningful relationships, feeling well, and achieving independence each contributed positively to children’s mental health. Additional challenges to mental health during periods of poor respiratory and/or sleep health included: 1) challenges to behavioral regulation, 2) changes to mood, and 3) challenges to thinking. Parents and children reported nurturing and coping self-management strategies when their physical and mental health were dually challenged in addition to medical management strategies such as non-invasive ventilation (NIV).Conclusions: This study supports the notion that changes in mental health may indicate poor physical health in children with NMDs. Treating respiratory and sleep problems, such as by early NIV implementation, may improve the mental health of children with NMDs and thus support their overall wellbeing and health outcomes.
{"title":"Respiratory Health, Sleep Dysfunction, and Mental Health in Children and Adolescents With a Neuromuscular Disorder: A Descriptive Qualitative Study","authors":"M. Huston, A. Withers, J. Lam, Andrew Wilson, J. Downs","doi":"10.13078/jsm.220026","DOIUrl":"https://doi.org/10.13078/jsm.220026","url":null,"abstract":"Objectives: To explore how respiratory health and sleep problems affect mental health in children and adolescents with neuromuscular disorders (NMDs).Methods: A qualitative descriptive study was carried out with content analysis of in-depth interviews conducted with children with NMDs and their parents. Data were collected during semi-structured interviews with children with NMDs and their parents. A total of 14 families were recruited (17 parents and 7 children and adolescents with NMD aged 5–17 years). Each interview was conducted with 1–3 family member(s).Results: Engagement in community activities, meaningful relationships, feeling well, and achieving independence each contributed positively to children’s mental health. Additional challenges to mental health during periods of poor respiratory and/or sleep health included: 1) challenges to behavioral regulation, 2) changes to mood, and 3) challenges to thinking. Parents and children reported nurturing and coping self-management strategies when their physical and mental health were dually challenged in addition to medical management strategies such as non-invasive ventilation (NIV).Conclusions: This study supports the notion that changes in mental health may indicate poor physical health in children with NMDs. Treating respiratory and sleep problems, such as by early NIV implementation, may improve the mental health of children with NMDs and thus support their overall wellbeing and health outcomes.","PeriodicalId":90527,"journal":{"name":"Indian journal of sleep medicine","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86970716","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：