Humidity and sleep: a review on thermal aspect

Manzar, Dilshad; Sethi, Mani; Hussain, M. Ejaz

doi:10.1080/09291016.2011.597621

Cited by 22 publications

(16 citation statements)

References 81 publications

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“…Sleep is intricately related to the function of various physiological systems[ 26 ] and fluctuations in the physical microenvironment. [ 27 ] The health-care systems of the developing societies, which are already under pressure from enormous levels of infectious diseases, may be better placed to strategize prevention and awareness programs to decrease unwarranted sleep problems from polysubstance use. Such programs seem more indispensable because of the lack of awareness about sleep health issues even among the educated population in the developing societies.…”

Section: Discussionmentioning

confidence: 99%

Poor sleep in concurrent users of alcohol, khat, and tobacco smoking in community-dwelling Ethiopian adults

et al. 2018

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BACKGROUND:Polysubstance dependence, stress, and sleep disturbances are inter-related by shared physiological pathways. No study has investigated the relationship between sleep and concurrent use of alcohol and khat.OBJECTIVES:The aim of the study was to assess the effect of the concurrent use of alcohol and khat as well as concurrent alcohol, khat, and tobacco smoking on sleep patterns.METHODS:A sample of community-dwelling adults (n = 339, age = 25.5 ± 5.7 years, body mass index = 22.0 ± 2.2 kg/m2) from Mizan-Aman, Ethiopia, participated in a cross-sectional study. Semi-structured tool for sociodemographics, substance use habit, and the Pittsburgh Sleep Quality Index (PSQI) were used. The difference in sleep patterns among substance use groups, i.e., nonusers, alcohol use only, concurrent alcohol and khat use, and concurrent alcohol, khat and tobacco smoking was assessed.RESULTS:The poorest sleep quality was found among concurrent users of alcohol, khat, and tobacco smoking (PSQI global score = 8.2 ± 2.4), followed by concurrent users of alcohol and khat (PSQI global score = 7.3 ± 2.9) (F (3.335) = 23.64, P < 0.001). There were significant differences in the PSQI component score of sleep quality χ2(3) =159.09, P < 0.001, the PSQI component score of sleep latency χ2(3) = 128.09, P < 0.001, and the PSQI component score of sleep disturbances χ2(3) = 37.69, P < 0.001 between substance use groups.CONCLUSION:Concurrent use of alcohol, khat as well as alcohol, khat, and tobacco smoking was associated with poor sleep. Sleep disturbances in this group need management to avoid the prospective development of psychosocial disturbances in polysubstance users.

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Section: Discussionmentioning

confidence: 99%

Poor sleep in concurrent users of alcohol, khat, and tobacco smoking in community-dwelling Ethiopian adults

et al. 2018

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“…Additionally, prior research relating RH to health outcome metrics has considered just one outcome factor belying the complex nature of any potential relationship. [19][20][21] we found an indirect effect of objectively measured poorer sleep quality, mediated by stress responses, for those outside this range.…”

Section: Introductionmentioning

confidence: 60%

“…However, while Derby et al reiterated many of Sterling's findings, they caution against mandating a general, lower limit without additional research involving a larger number of subjects, a more diverse study population, and conducted in real‐world settings. Additionally, prior research relating RH to health outcome metrics has considered just one outcome factor belying the complex nature of any potential relationship …”

Section: Introductionmentioning

confidence: 99%

Wellbuilt for wellbeing: Controlling relative humidity in the workplace matters for our health

et al. 2019

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This study offers a new perspective on the role of relative humidity in strategies to improve the health and wellbeing of office workers. A lack of studies of sufficient participant size and diversity relating relative humidity (RH) to measured health outcomes has been a driving factor in relaxing thermal comfort standards for RH and removing a lower limit for dry air. We examined the association between RH and objectively measured stress responses, physical activity (PA), and sleep quality. A diverse group of office workers (n = 134) from four well‐functioning federal buildings wore chest‐mounted heart rate variability monitors for three consecutive days, while at the same time, RH and temperature (T) were measured in their workplaces. Those who spent the majority of their time at the office in conditions of 30%‐60% RH experienced 25% less stress at the office than those who spent the majority of their time in drier conditions. Further, a correlational study of our stress response suggests optimal values for RH may exist within an even narrower range around 45%. Finally, we found an indirect effect of objectively measured poorer sleep quality, mediated by stress responses, for those outside this range.

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“…This result is striking, given that there is commonality between the rhythm pattern of C-3, C-4, and REM sleep regulation. REM sleep has a predominant circadian regulation [32] , and the serum levels of both C-3 and C-4 have well-characterized circadian patterns [14] , which gives further insight into the possible physiological basis of our experimental hypothesis, i.e., the similarity between the association pattern of sleep and inflammatory cytokines and the association pattern of sleep and inflammatory complement components. The circadian aspect of sleep maintains stable and healthy cytokine rhythms [33] and may play a role in the maintenance of stable and healthy complement component rhythms.…”

Section: Discussionmentioning

confidence: 77%

Polysomnographic correlates of inflammatory complement components in young healthy males

et al. 2016

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A growing body of evidence has delineated the predominant role of humoral mediators of inflammation in linking sleep with immunity. Nonetheless, characterization of the relationship between complement components with inflammatory functions and objective sleep measures has not been performed. In this study we investigated the relationships between objective measures of sleep and complement components with inflammatory functions. Thirty-six healthy male university students (age, 23.94±4.23 years; BMI, 23.44±2.67 kg/m2) completed the study. An RMS Quest 32 polysomnograph (PSG) was used for sleep recording. Non-fasting blood was collected before subjects went to bed on the second night in the sleep laboratory to estimate complement component 3 (C-3), complement component 4 (C-4), complement factor-H (Factor-H), C1-inhibitor (C1INH), complement factor I (CFI) and other inflammatory mediators, such as IL-6 and sICAM-1. Multiple linear regression analysis was used to assess the association between PSG sleep measures and inflammatory mediators. Higher values of C-3 and lower values of sICAM-1, C1INH, and CFI (adjusted model, R2=0.211, p<0.041) predicted longer sleep duration. Lower C-3 (adjusted model, R2=0.078, p<0.055) predicted higher N1 (%). Higher levels of C1INH and CFI and lower values of C-4 (model adjusted R2=0.269, p<0.008) predicted higher N3 (%). Higher C-3, higher C-4, lower IL-6, lower C1INH and lower CFI (model adjusted R2=0.296, p<0.007) predicted higher REM (%). Poor sleep measures were associated with increased levels of pro-inflammatory complement components and decreased anti-inflammatory complement components.

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Humidity and sleep: a review on thermal aspect

Cited by 22 publications

References 81 publications

Poor sleep in concurrent users of alcohol, khat, and tobacco smoking in community-dwelling Ethiopian adults

Poor sleep in concurrent users of alcohol, khat, and tobacco smoking in community-dwelling Ethiopian adults

Wellbuilt for wellbeing: Controlling relative humidity in the workplace matters for our health

Polysomnographic correlates of inflammatory complement components in young healthy males

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