Pub Date : 2022-12-01DOI: 10.1016/j.sleepx.2022.100053
Raquel S.M. Zarpellon , Dra Regina M. Vilela , Fernando Mazzilli Louzada , Dra Rosana B. Radominski , Dra Ana Chrystina de Souza Crippa
Introduction
the great increase in childhood obesity rates is well documented in the scientific literature. However, the influence of diet on sleep quality in children and adolescents still needs further research in order to be better understood. The objective of this study was to evaluate the association between diet and sleep characteristics and in children and adolescents with obesity.
Methods
observational analytical cross-sectional study with prospective data collection. Forty-three children and adolescents aged between 6 and 13 years diagnosed with obesity and treated at a public tertiary care institution participated in the study. The 6-day Food Intake Registry was used to evaluate the intake of energy and macronutrients. To investigate the risk of sleep disturbances and to know the routine and characteristics of sleeping habits, the Sleep Disturbance Scale for Children (SDSC) questionnaire was used.
Results
and discussion: Food intake showed association with Sleep Breathing Disorders (SBD) and Sleep Wake Transition Disorders (SWTD). The sum of all SDSC factors demonstrated the presence of pathological sleep in most patients (n = 25).
{"title":"Association of food intake with sleep disorders in children and adolescents with obesity","authors":"Raquel S.M. Zarpellon , Dra Regina M. Vilela , Fernando Mazzilli Louzada , Dra Rosana B. Radominski , Dra Ana Chrystina de Souza Crippa","doi":"10.1016/j.sleepx.2022.100053","DOIUrl":"10.1016/j.sleepx.2022.100053","url":null,"abstract":"<div><h3>Introduction</h3><p>the great increase in childhood obesity rates is well documented in the scientific literature. However, the influence of diet on sleep quality in children and adolescents still needs further research in order to be better understood. The objective of this study was to evaluate the association between diet and sleep characteristics and in children and adolescents with obesity.</p></div><div><h3>Methods</h3><p>observational analytical cross-sectional study with prospective data collection. Forty-three children and adolescents aged between 6 and 13 years diagnosed with obesity and treated at a public tertiary care institution participated in the study. The 6-day Food Intake Registry was used to evaluate the intake of energy and macronutrients. To investigate the risk of sleep disturbances and to know the routine and characteristics of sleeping habits, the Sleep Disturbance Scale for Children (SDSC) questionnaire was used.</p></div><div><h3>Results</h3><p>and discussion: Food intake showed association with Sleep Breathing Disorders (SBD) and Sleep Wake Transition Disorders (SWTD). The sum of all SDSC factors demonstrated the presence of pathological sleep in most patients (n = 25).</p></div>","PeriodicalId":37065,"journal":{"name":"Sleep Medicine: X","volume":"4 ","pages":"Article 100053"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9442327/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"33448503","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-12-01DOI: 10.1016/j.sleepx.2022.100042
Alécio Vinícius Sá Gomes e Farias, Mariana Peixoto de Lima Cavalcanti, Marcelo Alcântara de Passos Junior, Bruna del Vechio Koike
Objectives
Arterial hypertension is a cardiovascular disease defined as a sustained high blood pressure, constituting an important risk factor for the development of heart diseases, such as coronary heart disease and heart failure. At the same time, pathophysiological pathways underlying sleeping deprivation provides biological plausibility for a causation connection between sleep deprivation and acute or chronic blood pressure elevation, such as the mechanism behind blood pressure dipping at night, which strongly relies on reduced sympathetic activity provided by sleep, besides empirical and clinical evidence suggesting that sleep disorders incidence is correlate with posterior development of arterial hypertension. The aim of this study was to systematically review published studies analyzing the possible relationship between sleep deprivation and variations in blood pressure during nighttime and daytime.
Methods
The research was carried out in the second semester of 2020 following the PRISMA model and using the LILACS, MEDLINE and COCHRANE (CENTRAL) databases. The keywords used were associated using the Boolean method. Only trials and studies in humans unrelated to sleep apnea were included, in an attempt to answer the question proposed. Duplications and articles outside the topic were excluded.
Results
After the selection processes, fourteen studies were left, which were classified, depending on the findings, in four categories: 1) blood pressure differences only in sleep deprivation's night; 2) blood pressure differences only in the following day after sleep deprivation's night; 3) blood pressure differences in both nights and 4) those that found no blood pressure differences.
Conclusion
It was found an increase in blood pressure on the night of sleep deprivation, suggesting a possible causality with an acute increase in blood pressure depending on the population studied. In general, sleep deprivation is acutely associated with blood pressure elevation or acute elevation of markers that suggest the role of compensatory mechanisms, such as increased natriuresis and increased parasympathetic activity.
{"title":"The association between sleep deprivation and arterial pressure variations: a systematic literature review","authors":"Alécio Vinícius Sá Gomes e Farias, Mariana Peixoto de Lima Cavalcanti, Marcelo Alcântara de Passos Junior, Bruna del Vechio Koike","doi":"10.1016/j.sleepx.2022.100042","DOIUrl":"10.1016/j.sleepx.2022.100042","url":null,"abstract":"<div><h3>Objectives</h3><p>Arterial hypertension is a cardiovascular disease defined as a sustained high blood pressure, constituting an important risk factor for the development of heart diseases, such as coronary heart disease and heart failure. At the same time, pathophysiological pathways underlying sleeping deprivation provides biological plausibility for a causation connection between sleep deprivation and acute or chronic blood pressure elevation, such as the mechanism behind blood pressure dipping at night, which strongly relies on reduced sympathetic activity provided by sleep, besides empirical and clinical evidence suggesting that sleep disorders incidence is correlate with posterior development of arterial hypertension. The aim of this study was to systematically review published studies analyzing the possible relationship between sleep deprivation and variations in blood pressure during nighttime and daytime.</p></div><div><h3>Methods</h3><p>The research was carried out in the second semester of 2020 following the PRISMA model and using the LILACS, MEDLINE and COCHRANE (CENTRAL) databases. The keywords used were associated using the Boolean method. Only trials and studies in humans unrelated to sleep apnea were included, in an attempt to answer the question proposed. Duplications and articles outside the topic were excluded.</p></div><div><h3>Results</h3><p>After the selection processes, fourteen studies were left, which were classified, depending on the findings, in four categories: 1) blood pressure differences only in sleep deprivation's night; 2) blood pressure differences only in the following day after sleep deprivation's night; 3) blood pressure differences in both nights and 4) those that found no blood pressure differences.</p></div><div><h3>Conclusion</h3><p>It was found an increase in blood pressure on the night of sleep deprivation, suggesting a possible causality with an acute increase in blood pressure depending on the population studied. In general, sleep deprivation is acutely associated with blood pressure elevation or acute elevation of markers that suggest the role of compensatory mechanisms, such as increased natriuresis and increased parasympathetic activity.</p></div>","PeriodicalId":37065,"journal":{"name":"Sleep Medicine: X","volume":"4 ","pages":"Article 100042"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8829775/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39803552","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-12-01DOI: 10.1016/j.sleepx.2022.100050
Sara Girolami, Marta Tardio, Serpetti Loredana, Nadia Di Mattia, Pamela Micheletti, Mario Di Napoli
{"title":"Sleep body position correlates with cognitive performance in middle-old obstructive sleep apnea subjects","authors":"Sara Girolami, Marta Tardio, Serpetti Loredana, Nadia Di Mattia, Pamela Micheletti, Mario Di Napoli","doi":"10.1016/j.sleepx.2022.100050","DOIUrl":"10.1016/j.sleepx.2022.100050","url":null,"abstract":"","PeriodicalId":37065,"journal":{"name":"Sleep Medicine: X","volume":"4 ","pages":"Article 100050"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/56/9f/main.PMC9241099.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"40581205","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Compared with typically developing control children (CC), children with Down syndrome (DS) frequently exhibit sleep-disordered breathing (SDB) and unusual sleep postures (USPs). No studies have directly compared SDB-related signs and symptoms, SDB-related parameters, and USPs between children with DS and CC. This study aimed to evaluate the prevalences of SDB and USPs in children with DS and CC.
Methods
We analyzed SDB-related parameters measured via overnight pulse oximetry and questionnaires administered to parents on SDB-related signs and symptoms, including sleeping postures. Estimated SDB was defined as a 3% oxygen desaturation index (ODI) ≥5 dips/h.
Results
Fifty-one children with DS (4–5 years: N = 12, 6–10 years: N = 23, 11–15 years: N = 16) and sixty-three CC (4–5 years: N = 18, 6–10 years: N = 27, 11–15 years: N = 18) were included. The prevalence of estimated SDB and observed USPs was higher in children with DS than in CC (p < 0.0001). Among children aged 11–15 years old, but not those aged 4–5 and 6–10 years old, frequency of arousal and apnea (p = 0.045 and p = 0.01, respectively) were higher in children with DS than in CC. Multivariate analyses showed that DS was associated with SDB-related signs and symptoms, estimated SDB, 3% ODI, average oxygen saturation (SpO2), and nadir SpO2, while USPs were associated only with higher values of SpO2 <90%.
Conclusions
Estimated SDB tended to increase in children with DS but decreased in CC with growth. USPs were more frequent in children with DS than in CC, especially in older children. USPs might indicate severe hypoxemia due to SDB in DS.
{"title":"Characteristics of sleep-disordered breathing in children with down syndrome - A comparison with typically developing children","authors":"Hiroyuki Sawatari , Anita Rahmawati , Nobuko Moriyama , Kanae Fujita , Tomoko Ohkusa , Tomoko Nao , Nobuko Hashiguchi , Mari Nishizaka , Shin-ichi Ando , Akiko Chishaki","doi":"10.1016/j.sleepx.2022.100045","DOIUrl":"10.1016/j.sleepx.2022.100045","url":null,"abstract":"<div><h3>Background</h3><p>Compared with typically developing control children (CC), children with Down syndrome (DS) frequently exhibit sleep-disordered breathing (SDB) and unusual sleep postures (USPs). No studies have directly compared SDB-related signs and symptoms, SDB-related parameters, and USPs between children with DS and CC. This study aimed to evaluate the prevalences of SDB and USPs in children with DS and CC.</p></div><div><h3>Methods</h3><p>We analyzed SDB-related parameters measured via overnight pulse oximetry and questionnaires administered to parents on SDB-related signs and symptoms, including sleeping postures. Estimated SDB was defined as a 3% oxygen desaturation index (ODI) ≥5 dips/h.</p></div><div><h3>Results</h3><p>Fifty-one children with DS (4–5 years: N = 12, 6–10 years: N = 23, 11–15 years: N = 16) and sixty-three CC (4–5 years: N = 18, 6–10 years: N = 27, 11–15 years: N = 18) were included. The prevalence of estimated SDB and observed USPs was higher in children with DS than in CC (p < 0.0001). Among children aged 11–15 years old, but not those aged 4–5 and 6–10 years old, frequency of arousal and apnea (p = 0.045 and p = 0.01, respectively) were higher in children with DS than in CC. Multivariate analyses showed that DS was associated with SDB-related signs and symptoms, estimated SDB, 3% ODI, average oxygen saturation (SpO<sub>2</sub>), and nadir SpO<sub>2</sub>, while USPs were associated only with higher values of SpO<sub>2</sub> <90%.</p></div><div><h3>Conclusions</h3><p>Estimated SDB tended to increase in children with DS but decreased in CC with growth. USPs were more frequent in children with DS than in CC, especially in older children. USPs might indicate severe hypoxemia due to SDB in DS.</p></div>","PeriodicalId":37065,"journal":{"name":"Sleep Medicine: X","volume":"4 ","pages":"Article 100045"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2590142722000040/pdfft?md5=99f9bd1267bc1a746f6ee4a550beb46b&pid=1-s2.0-S2590142722000040-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49241442","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-12-01DOI: 10.1016/j.sleepx.2022.100047
Eva S. van den Ende , Pia Burger , Marjolein Keesenberg , Hanneke Merten , Reinoud J.B.J. Gemke , Prabath W.B. Nanayakkara
Background
Sleep is vital for recovery during hospital stay. Many sleep-promoting interventions have been investigated in the past. Nurses seem to overestimate their patients sleep and their perspective is needed for these interventions to be successfully implemented.
Objectives
To assess the patient's and nurse's agreement on the patient's sleep and factors disturbing sleep.
Methods
The instruments used included 1) five Richard-Campbell Sleep Questionnaire (RCSQ) items plus a rating of nighttime noise and 2) the Consensus Sleep Diary (CSD). The mean of the five RCSQ items comprised a total score, which reflects sleep quality. Once a week, unannounced, nurses and patients were asked to fill in questionnaires concerning last night's sleep. Neither nurses nor patients knew the others' ratings. Patient-nurse agreement was evaluated by using median differences and Bland-Altman plots. Reliability was evaluated by using intraclass correlation coefficients.
Results
Fifty-five paired patient-nurse assessments have been completed. For all RCSQ subitems, nurses' scores were higher (indicating “better” sleep) than patients’ scores, with a significantly higher rating for sleep depth (median [IQR], 70 [40] vs 50 [40], P = .012). The Bland-Altman plots for the RSCQ Total Score (r = 0.0593, P = .008) revealed a significant amount of variation (bias). The intra-class correlation coefficient (ICC) indicated poor reliability for all 7 measures (range −0.278 – 0.435). Nurses were relatively overestimating their own role in causing sleep disturbances and underestimating patient-related factors.
Conclusions
Nurses tend to overestimate patients’ sleep quality as well as their own role in causing sleep disturbances.
{"title":"Patient-nurse agreement on inpatient sleep and sleep disturbing factors","authors":"Eva S. van den Ende , Pia Burger , Marjolein Keesenberg , Hanneke Merten , Reinoud J.B.J. Gemke , Prabath W.B. Nanayakkara","doi":"10.1016/j.sleepx.2022.100047","DOIUrl":"10.1016/j.sleepx.2022.100047","url":null,"abstract":"<div><h3>Background</h3><p>Sleep is vital for recovery during hospital stay. Many sleep-promoting interventions have been investigated in the past. Nurses seem to overestimate their patients sleep and their perspective is needed for these interventions to be successfully implemented.</p></div><div><h3>Objectives</h3><p>To assess the patient's and nurse's agreement on the patient's sleep and factors disturbing sleep.</p></div><div><h3>Methods</h3><p>The instruments used included 1) five Richard-Campbell Sleep Questionnaire (RCSQ) items plus a rating of nighttime noise and 2) the Consensus Sleep Diary (CSD). The mean of the five RCSQ items comprised a total score, which reflects sleep quality. Once a week, unannounced, nurses and patients were asked to fill in questionnaires concerning last night's sleep. Neither nurses nor patients knew the others' ratings. Patient-nurse agreement was evaluated by using median differences and Bland-Altman plots. Reliability was evaluated by using intraclass correlation coefficients.</p></div><div><h3>Results</h3><p>Fifty-five paired patient-nurse assessments have been completed. For all RCSQ subitems, nurses' scores were higher (indicating “better” sleep) than patients’ scores, with a significantly higher rating for sleep depth (median [IQR], 70 [40] vs 50 [40], P = .012). The Bland-Altman plots for the RSCQ Total Score (r = 0.0593, P = .008) revealed a significant amount of variation (bias). The intra-class correlation coefficient (ICC) indicated poor reliability for all 7 measures (range −0.278 – 0.435). Nurses were relatively overestimating their own role in causing sleep disturbances and underestimating patient-related factors.</p></div><div><h3>Conclusions</h3><p>Nurses tend to overestimate patients’ sleep quality as well as their own role in causing sleep disturbances.</p></div>","PeriodicalId":37065,"journal":{"name":"Sleep Medicine: X","volume":"4 ","pages":"Article 100047"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2590142722000064/pdfft?md5=b2581f051493608ce6a566e719e9ae97&pid=1-s2.0-S2590142722000064-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47776636","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
to assess the prevalence and associated factors of poor sleep quality in adults with Human Immuno Virus Syndrome who attended an Anti-Retro-Viral Treatment clinic at Finote Selam General Hospital in Amhara, Ethiopia, in 2021.
Methods
A Hospital based cross sectional study was conducted from October 15 to November 2020 and systematic random sampling technique was used to select sample size of 399 study subjects. Sleep Quality was assessed using the Pittsburgh Sleep Quality Index (PSQI). The data was entered to Epi data version 4.2 and analysis was done with SPSS version 25.0 software. Binary logistic regression technique was employed and variables with p-value less than 0.25 in the Bi-variable analysis were entered to the multivariable analysis. Odds ratio with 95% Confidence Interval was calculated and statistical significance was declared at P-values < 0.05.
Results
The prevalence of poor quality of sleep among PLWHA was 55.1% [95% CI: 50.1–60.2] 0.12 months duration of HIV diagnosis [AOR = 4.02,95% CI: (1.604, 10.070)], CD4 count<200 cells/mm3 [AOR = 2.76,95% CI: (1.189,6.408)]. Viral load >1000 copies [AOR = 3.41, 95% CI: (1.384, 8.417)]and having depression [AOR = 2.06, 95% CI: (1.056, 4.019)] were factors significantly associated with poor sleep quality.
Conclusion
In this study, it was discovered that above 50% of people living with HIV/AIDS had poor sleep quality. It is critical to reduce prevalence by developing prevention and intervention strategies that address the identified factors.
{"title":"Poor sleep quality and associated factors among people attending anti-retroviral treatment clinic at Finote selam general hospital, Amhara, Ethiopia","authors":"Mihret Adane , Haile Amha , Yilkal Tafere , Girma Alem","doi":"10.1016/j.sleepx.2022.100054","DOIUrl":"10.1016/j.sleepx.2022.100054","url":null,"abstract":"<div><h3>Objective</h3><p>to assess the prevalence and associated factors of poor sleep quality in adults with Human Immuno Virus Syndrome who attended an Anti-Retro-Viral Treatment clinic at Finote Selam General Hospital in Amhara, Ethiopia, in 2021.</p></div><div><h3>Methods</h3><p>A Hospital based cross sectional study was conducted from October 15 to November 2020 and systematic random sampling technique was used to select sample size of 399 study subjects. Sleep Quality was assessed using the Pittsburgh Sleep Quality Index (PSQI). The data was entered to Epi data version 4.2 and analysis was done with SPSS version 25.0 software. Binary logistic regression technique was employed and variables with p-value less than 0.25 in the Bi-variable analysis were entered to the multivariable analysis. Odds ratio with 95% Confidence Interval was calculated and statistical significance was declared at P-values < 0.05.</p></div><div><h3>Results</h3><p>The prevalence of poor quality of sleep among PLWHA was 55.1% [95% CI: 50.1–60.2] 0.12 months duration of HIV diagnosis [AOR = 4.02,95% CI: (1.604, 10.070)], CD4 count<200 cells/mm3 [AOR = 2.76,95% CI: (1.189,6.408)]. Viral load >1000 copies [AOR = 3.41, 95% CI: (1.384, 8.417)]and having depression [AOR = 2.06, 95% CI: (1.056, 4.019)] were factors significantly associated with poor sleep quality.</p></div><div><h3>Conclusion</h3><p>In this study, it was discovered that above 50% of people living with HIV/AIDS had poor sleep quality. It is critical to reduce prevalence by developing prevention and intervention strategies that address the identified factors.</p></div>","PeriodicalId":37065,"journal":{"name":"Sleep Medicine: X","volume":"4 ","pages":"Article 100054"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/72/ff/main.PMC9475305.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"40367428","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Given the importance of sleep for physical and mental wellbeing, it is crucial to understand the extent of insomnia among community dwellers. However, there is a paucity of population wide epidemiological studies to estimate the prevalence of poor sleep quality. This present study aimed to 1) characterize the sleep quality of a nationally representative sample (n = 6126) of Singapore residents using Pittsburg Sleep Quality Index (PSQI) and 2) identify the sociodemographic correlates of poor sleep in this population. A total of 27.6% of respondents reported poor sleep quality (PSQI score ≥5). Sociodemographic correlates of poor sleep quality in the Singapore population included, but were not limited to, females (AOR = 1.44, 95% CI = 1.17 to 1.77, p-value = 0.001), Malays (vs Chinese) (AOR = 1.53, 95% CI = 1.23 to 1.9, p-value < 0.001), Indians (vs Chinese) (AOR = 1.22, 95% CI = 1.02 to 1.47, p-value = 0.03), ex-smokers (vs non-smokers) (AOR = 1.43, 95% CI = 1.07 to 1.92, p-value = 0.02), persons with comorbid mental health conditions (vs no mental health conditions) (AOR = 14.11, 95% CI = 6.52 to 30.54, p-value < 0.01), and persons with physical multimorbidity (vs no physical conditions) (AOR = 1.63, 95% CI = 1.24 to 2.15, p-value < 0.001). The prevalence of poor sleep in Singapore is comparable to that of other countries in the Asian region. Targeted public health campaigns to psycho-educate vulnerable groups on the importance of good sleep hygiene may improve the overall wellbeing of residents in Singapore.
鉴于睡眠对身心健康的重要性,了解社区居民失眠的程度至关重要。然而,缺乏广泛的流行病学研究来估计睡眠质量差的普遍程度。本研究旨在1)利用匹兹堡睡眠质量指数(PSQI)表征新加坡居民的全国代表性样本(n = 6126)的睡眠质量,2)确定该人群中睡眠质量差的社会人口学相关因素。共有27.6%的受访者报告睡眠质量差(PSQI评分≥5)。新加坡人口睡眠质量差的社会人口学相关因素包括但不限于女性(AOR = 1.44, 95% CI = 1.17至1.77,p值= 0.001),马来人(与华人相比)(AOR = 1.53, 95% CI = 1.23至1.9,p值<0.001),印度人(vs中国人)(AOR = 1.22, 95% CI = 1.02 ~ 1.47, p值= 0.03),戒烟者(vs非吸烟者)(AOR = 1.43, 95% CI = 1.07 ~ 1.92, p值= 0.02),伴有精神健康状况的人(AOR = 14.11, 95% CI = 6.52 ~ 30.54, p值<0.01),以及有身体多重疾病的人(与无身体疾病的人相比)(AOR = 1.63, 95% CI = 1.24 ~ 2.15, p值<0.001)。新加坡睡眠不足的普遍程度与亚洲地区其他国家相当。开展有针对性的公共卫生运动,对弱势群体进行良好睡眠卫生重要性的心理教育,可能会改善新加坡居民的整体健康状况。
{"title":"Sleep quality of Singapore residents: findings from the 2016 Singapore mental health study","authors":"Ying Ying Lee , Jue Hua Lau , Janhavi Ajit Vaingankar , Rajeswari Sambasivam , Saleha Shafie , Boon Yiang Chua , Wai Leng Chow , Edimansyah Abdin , Mythily Subramaniam","doi":"10.1016/j.sleepx.2022.100043","DOIUrl":"10.1016/j.sleepx.2022.100043","url":null,"abstract":"<div><p>Given the importance of sleep for physical and mental wellbeing, it is crucial to understand the extent of insomnia among community dwellers. However, there is a paucity of population wide epidemiological studies to estimate the prevalence of poor sleep quality. This present study aimed to 1) characterize the sleep quality of a nationally representative sample (n = 6126) of Singapore residents using Pittsburg Sleep Quality Index (PSQI) and 2) identify the sociodemographic correlates of poor sleep in this population. A total of 27.6% of respondents reported poor sleep quality (PSQI score ≥5). Sociodemographic correlates of poor sleep quality in the Singapore population included, but were not limited to, females (AOR = 1.44, 95% CI = 1.17 to 1.77, p-value = 0.001), Malays (vs Chinese) (AOR = 1.53, 95% CI = 1.23 to 1.9, p-value < 0.001), Indians (vs Chinese) (AOR = 1.22, 95% CI = 1.02 to 1.47, p-value = 0.03), ex-smokers (vs non-smokers) (AOR = 1.43, 95% CI = 1.07 to 1.92, p-value = 0.02), persons with comorbid mental health conditions (vs no mental health conditions) (AOR = 14.11, 95% CI = 6.52 to 30.54, p-value < 0.01), and persons with physical multimorbidity (vs no physical conditions) (AOR = 1.63, 95% CI = 1.24 to 2.15, p-value < 0.001). The prevalence of poor sleep in Singapore is comparable to that of other countries in the Asian region. Targeted public health campaigns to psycho-educate vulnerable groups on the importance of good sleep hygiene may improve the overall wellbeing of residents in Singapore.</p></div>","PeriodicalId":37065,"journal":{"name":"Sleep Medicine: X","volume":"4 ","pages":"Article 100043"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2590142722000027/pdfft?md5=4742f2d0617de421840f40b4ea229449&pid=1-s2.0-S2590142722000027-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42791391","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-12-01DOI: 10.1016/j.sleepx.2022.100058
Stephen E. Langabeer
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Pub Date : 2022-12-01DOI: 10.1016/j.sleepx.2022.100059
Pia Burger , Eva S. Van den Ende , Wen Lukman , George L. Burchell , Lindsay M.H. Steur , Hanneke Merten , Prabath W.B. Nanayakkara , Reinoud J.B.J. Gemke
Background
Sleep is essential for recovery from illness. As a result, researchers have shown a growing interest in the sleep of hospitalized patients. Although many studies have been conducted over the past years, an up to date systematic review of the results is missing.
Objective
The objective of this systematic review was to assess sleep quality and quantity of hospitalized patients and sleep disturbing factors.
Methods
A systematic literature search was conducted within four scientific databases. The search focused on synonyms of 'sleep’ and 'hospitalization’. Papers written in English or Dutch from inception to April 25th,2022 were included for hospitalized patients >1 year of age. Papers exclusively reporting about patients receiving palliative, obstetric or psychiatric care were excluded, as well as patients in rehabilitation and intensive care settings, and long-term hospitalized geriatric patients. This review was performed in accordance with the PRISMA guidelines.
Results
Out of 542 full text studies assessed for eligibility, 203 were included, describing sleep quality and/or quantity of 17,964 patients. The median sample size of the studies was 51 patients (IQR 67, range 6–1472). An exploratory meta-analysis of the Total Sleep Time showed an average of 7.2 h (95%-CI 4.3, 10.2) in hospitalized children, 5.7 h (95%-CI 4.8, 6.7) in adults and 5.8 h (95%-CI 5.3, 6.4) in older patients (>60y). In addition, a meta-analysis of the Wake After Sleep Onset (WASO) showed a combined high average of 1.8 h (95%-CI 0.7, 2.9). Overall sleep quality was poor, also due to nocturnal awakenings. The most frequently cited external factors for poor sleep were noise and number of patients in the room. Among the variety of internal/disease-related factors, pain and anxiety were most frequently mentioned to be associated with poor sleep.
Conclusion
Of all studies, 76% reported poor sleep quality and insufficient sleep duration in hospitalized patients. Children sleep on average 0.7–3.8 h less in the hospital than recommended. Hospitalized adults sleep 1.3–3.2 h less than recommended for healthy people. This underscores the need for interventions to improve sleep during hospitalization to support recovery.
{"title":"Sleep in hospitalized pediatric and adult patients – A systematic review and meta-analysis","authors":"Pia Burger , Eva S. Van den Ende , Wen Lukman , George L. Burchell , Lindsay M.H. Steur , Hanneke Merten , Prabath W.B. Nanayakkara , Reinoud J.B.J. Gemke","doi":"10.1016/j.sleepx.2022.100059","DOIUrl":"10.1016/j.sleepx.2022.100059","url":null,"abstract":"<div><h3>Background</h3><p>Sleep is essential for recovery from illness. As a result, researchers have shown a growing interest in the sleep of hospitalized patients. Although many studies have been conducted over the past years, an up to date systematic review of the results is missing.</p></div><div><h3>Objective</h3><p>The objective of this systematic review was to assess sleep quality and quantity of hospitalized patients and sleep disturbing factors.</p></div><div><h3>Methods</h3><p>A systematic literature search was conducted within four scientific databases. The search focused on synonyms of 'sleep’ and 'hospitalization’. Papers written in English or Dutch from inception to April 25th,2022 were included for hospitalized patients >1 year of age. Papers exclusively reporting about patients receiving palliative, obstetric or psychiatric care were excluded, as well as patients in rehabilitation and intensive care settings, and long-term hospitalized geriatric patients. This review was performed in accordance with the PRISMA guidelines.</p></div><div><h3>Results</h3><p>Out of 542 full text studies assessed for eligibility, 203 were included, describing sleep quality and/or quantity of 17,964 patients. The median sample size of the studies was 51 patients (IQR 67, range 6–1472). An exploratory meta-analysis of the Total Sleep Time showed an average of 7.2 h (95%-CI 4.3, 10.2) in hospitalized children, 5.7 h (95%-CI 4.8, 6.7) in adults and 5.8 h (95%-CI 5.3, 6.4) in older patients (>60y). In addition, a meta-analysis of the Wake After Sleep Onset (WASO) showed a combined high average of 1.8 h (95%-CI 0.7, 2.9). Overall sleep quality was poor, also due to nocturnal awakenings. The most frequently cited external factors for poor sleep were noise and number of patients in the room. Among the variety of internal/disease-related factors, pain and anxiety were most frequently mentioned to be associated with poor sleep.</p></div><div><h3>Conclusion</h3><p>Of all studies, 76% reported poor sleep quality and insufficient sleep duration in hospitalized patients. Children sleep on average 0.7–3.8 h less in the hospital than recommended. Hospitalized adults sleep 1.3–3.2 h less than recommended for healthy people. This underscores the need for interventions to improve sleep during hospitalization to support recovery.</p></div>","PeriodicalId":37065,"journal":{"name":"Sleep Medicine: X","volume":"4 ","pages":"Article 100059"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/e7/ea/main.PMC9672415.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"40698688","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This study aims to investigate the situation of sleep profile and its related factors in the Tabari Cohort Tabari (TCS) population.
Methods
The information of 10255 of the Tabari cohort population in the enrolment phase was used in this study. The sleep profile data was collected and recorded by trained questioners. The sleep duration in day & night, the time interval between going bed and falling asleep, continuous use of sedatives, involuntary nap, limb hypermobility during sleep and shift working were determined for each person. Data analysis was performed by independent T test and Pearson correlation coefficient.
Results
Mean, standard deviation, median, minimum and maximum of sleep duration in this population were 7.6, 1.6, 7.5, 0.5 and 17 h. Frequency of sleeping less than 6 h, 6–10 h and more than 10 h were 1168(11.4%), 8463(82.5%) and 624(6.1%) respectively. Prevalence of sleeping more than 10 h among men and women were 5% and 6.8% respectively (P < 0.001). Prevalence of sedative routine use among men and women were 4.7% and 9.6% respectively (P < 0.001). There were significant relationships between sleep duration and area residence, age group (P < 0.001), education level (P < 0.001), socioeconomic level (P < 0.001), triglyceride (P = 0.002), HDL-cholesterol (P = 0.013) and Cholesterol total (P = 0.021). There was a negative correlation between age and sleep duration (r = −0.062, P < 0.001).
Conclusion
The results showed the association of the quality and quantity of sleep with personal, social, environmental and biological factors such as gender, age, economic status, educational status, and lipid profile. Therefore without proper intervention, the incidence of outcomes associated with these risk factors can be predicted in TCS In later years.
{"title":"Sleep profile status based on substance use, lipids and demographic variables in Tabari cohort study","authors":"Athena Enderami , Mahdi Afshari , Motahareh Kheradmand , Reza Alizadeh-Navaei , Seyed Hamzeh Hosseini , Mahmood Moosazadeh (Associate professor)","doi":"10.1016/j.sleepx.2022.100048","DOIUrl":"10.1016/j.sleepx.2022.100048","url":null,"abstract":"<div><h3>Background</h3><p>This study aims to investigate the situation of sleep profile and its related factors in the Tabari Cohort Tabari (TCS) population.</p></div><div><h3>Methods</h3><p>The information of 10255 of the Tabari cohort population in the enrolment phase was used in this study. The sleep profile data was collected and recorded by trained questioners. The sleep duration in day & night, the time interval between going bed and falling asleep, continuous use of sedatives, involuntary nap, limb hypermobility during sleep and shift working were determined for each person. Data analysis was performed by independent T test and Pearson correlation coefficient.</p></div><div><h3>Results</h3><p>Mean, standard deviation, median, minimum and maximum of sleep duration in this population were 7.6, 1.6, 7.5, 0.5 and 17 h. Frequency of sleeping less than 6 h, 6–10 h and more than 10 h were 1168(11.4%), 8463(82.5%) and 624(6.1%) respectively. Prevalence of sleeping more than 10 h among men and women were 5% and 6.8% respectively (P < 0.001). Prevalence of sedative routine use among men and women were 4.7% and 9.6% respectively (P < 0.001). There were significant relationships between sleep duration and area residence, age group (P < 0.001), education level (P < 0.001), socioeconomic level (P < 0.001), triglyceride (P = 0.002), HDL-cholesterol (P = 0.013) and Cholesterol total (P = 0.021). There was a negative correlation between age and sleep duration (r = −0.062, P < 0.001).</p></div><div><h3>Conclusion</h3><p>The results showed the association of the quality and quantity of sleep with personal, social, environmental and biological factors such as gender, age, economic status, educational status, and lipid profile. Therefore without proper intervention, the incidence of outcomes associated with these risk factors can be predicted in TCS In later years.</p></div>","PeriodicalId":37065,"journal":{"name":"Sleep Medicine: X","volume":"4 ","pages":"Article 100048"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2590142722000076/pdfft?md5=e60fd686f58291997bc48fbeff58bd69&pid=1-s2.0-S2590142722000076-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43072832","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}