Indoor/outdoor not-voluptuary-habit pollution and sleep-disordered breathing in children: a systematic review

Climate change impacts on child and adolescent health and well-being: A narrative review

Background

Worldwide, the climate is changing and affecting the health and well-being of children in many ways. In this review, we provided an overview of how climate change-related events may affect child and adolescent health and well-being, including children's mental and physical health, nutrition, safety and security, learning opportunities, and family caregiving and connectedness.

Methods

In this narrative review, we highlighted and discussed peer-reviewed evidence from 2012-23, primarily from meta-analyses and systematic reviews. The search strategy used a large and varied number of search terms across three academic databases to identify relevant literature.

Results

There was consistent evidence across systematic reviews of impact on four themes. Climate-related events are associated with a) increases in posttraumatic stress and other mental health disorders in children and adolescents, b) increases in asthma, respiratory illnesses, diarrheal diseases and vector-borne diseases, c) increases in malnutrition and reduced growth and d) disruptions to responsive caregiving and family functioning, which can be linked to poor caregiver mental health, stress and loss of resources. Evidence of violence against children in climate-related disaster contexts is inconclusive. There is a lack of systematic review evidence on the associations between climate change and children's learning outcomes.

Conclusions

Systematic review evidence consistently points to negative associations between climate change and children's physical and mental health, well-being, and family functioning. Yet, much remains unknown about the causal pathways linking climate-change-related events and mental and physical health, responsive relationships and connectedness, nutrition, and learning in children and adolescents. This evidence is urgently needed so that adverse health and other impacts from climate change can be prevented or minimised through well-timed and appropriate action.

Prevalence of obstructive sleep apnea (OSA) among preschool aged children in the general population: A systematic review

Untreated pediatric obstructive sleep apnea (OSA) is associated with significant morbidities affecting behavior, neurocognitive development, endocrine and metabolic health. This systematic review evaluated prevalence of OSA reported in population-based studies among preschoolers as early intervention may have positive effects on health and quality of life. Thirty studies were included. High degrees of heterogeneity in methods and definitions were observed between the studies. Seven studies confirmed OSA by implementing objective methods after screening for habitual snoring with only two studies utilizing polysomnography, the reference standard, testing 1.2% of the combined cohorts (n = 82/4575) to confirm disease. Diagnosis of OSA was based on utilizing retired thresholds of the apnea-hypopnea-index (AHI), AHI4%≥5/hour of sleep (hrSleep), reporting prevalence of 1.8% and 6.4%, respectively. The remaining five studies implemented relatively insensitive objective recording methods to confirm disease in a limited number of children (n = 449/2486; 18.0%), estimating prevalence in the range of 0.7%-13.0%. The remaining literature is based on implementing questionnaires only to evaluate OSA. Studies published before 2014 reported 3.3%-9.4% prevalence, while more recent studies published 2016-2023 report higher prevalence, 12.8%-20.4%, when excluding outliers. This trend suggests that prevalence of OSA may possibly have been increasing in preschoolers over the past decade.

Neighborhood and Household Environment as Contributors to Racial Disparities in Sleep Duration among U.S. Adolescents

Objective

Racial disparities in adolescent sleep duration have been documented, but pathways driving these disparities are not well understood. This study examined whether neighborhood and household environments explained racial disparities in adolescent sleep duration.

Methods

Participants came from Waves I and II of Add Health (n=13,019). Self-reported short sleep duration was defined as less than the recommended amount for age (<9 hours for 6-12 years, <8 hours for 13-18 years, and <7 hours for 18-64 years). Neighborhood factors included neighborhood socioeconomic disadvantage, perceived safety and social cohesion. Household factors included living in a single parent household and household socioeconomic status (HSES). Structural equation modeling was used to assess mediation of the neighborhood and household environment in the association between race/ethnicity and short sleep duration.

Results

Only HSES mediated racial disparities, explaining non-Hispanic (NH) African American-NH White (11.6%), NH American Indian-NH White (9.9%), and Latinx-NH White (42.4%) differences. Unexpectedly, higher HSES was positively associated with short sleep duration.

Conclusion

Household SES may be an important pathway explaining racial disparities in adolescent sleep duration. Future studies should examine mechanisms linking household SES to sleep and identify buffers for racial/ethnic minority adolescents against the detrimental impacts that living in a higher household SES may have on sleep.

Early-Life Exposure to PM2.5 and Sleep Disturbances in Preschoolers from 551 Cities of China

Rationale: Air pollution has been linked with sleep disturbance in adults, but the association in children remains unclear. Objectives: To examine the associations of prenatal and postnatal exposure to fine particulate matter (particulate matter ⩽2.5 μm in aerodynamic diameter; PM_2.5) with sleep quality and sleep disturbances among children in 551 Chinese cities. Methods: A total of 1,15,023 children aged 3-7 years from the Chinese National Cohort of Motor Development were included. Sleep quality was measured using the Children's Sleep Habits Questionnaire (CSHQ). PM_2.5 exposure was estimated using a satellite-based model. Generalized additive mixed models with Gaussian and binomial distributions were used to examine the associations of PM_2.5 exposure with CSHQ scores and risk of sleep disturbance, respectively, adjusting for demographic characteristics and temporal trends. Measurements and Main Results: Early-life PM_2.5 exposure was associated with higher total CSHQ score, and the association was stronger for exposure at age 0-3 years (change of CSHQ score per interquartile range increase of PM_2.5 = 0.46; 95% confidence interval [CI], 0.29-0.63) than during pregnancy (0.22; 95% CI, 0.12-0.32). The associations were more evident in sleep-disordered breathing and daytime sleepiness. Postnatal PM_2.5 exposure was associated with increased risk of sleep disturbance (adjusted odds ratio for per-interquartile range increase of PM_2.5 exposure at age 0-3 years, 1.10; 95% CI, 1.04-1.15), but no associations were found for prenatal exposure. Children who were exclusively breastfed for <6 months and had neonatal ICU admission may be more vulnerable to sleep disturbance related to PM_2.5 exposure. Conclusions: PM_2.5 exposure can impair sleep quality in preschool children.

Effects of air pollution and residential greenness on sleep disorder: A 8-year nationwide cohort study

BACKGROUND

Sleep disorder influencing the quality of life, however, its contributing factors have not been fully identified yet. Recently the potential effects of environmental exposures like air pollution and greenness on sleep disorder have attracted attention, but the evidence in China is limited, particularly in the middle-aged and elderly.

METHODS

We conducted a nationwide prospective study that included 21,878 Chinese citizens aged 45 years or above. For each participant, the 3-year averaged exposure concentrations of air pollutants (including PM₁₀, PM_2.5, PM₁, NO₂) and greenness (assessed by NDVI) were estimated based on residential address. We used mixed-effects logistic models to examine the associations of sustained air pollutants and greenness exposures with the occurrence of sleep disorder, and used linear mixed-effects models to assess the associations with sleep duration. Specifically, interaction effects models were employed to identify potential modificators of the above associations.

RESULTS

A total of 39,580 survey responses were received, with the overall occurrence rate of sleep disorder was 25.7%. A 10 μg/m³ increment in PM₁₀ and PM_2.5 were associated with increased occurrence of sleep disorder at 2% (aOR = 1.02, 95%CI:1.01, 1.04) and 7% (aOR = 1.07, 95%CI: 1.04, 1.11), and were associated with reduced sleep duration by 0.07 (95% CI: 0.08, 0.05) and 0.04 (95% CI: 0.05, 0.03) hours, respectively. Residential greenness appears to the potential protective factor for sleep disorder, that a 0.1 higher of the NDVI was associated a 9% (aOR = 0.91, 95%CI: 0.86, 0.96) decreased occurrence of sleep disorder and 0.09 h (95% CI: 0.05, 0.13) longer of sleep duration. Age and residence were identified as modificators of the above significant associations.

CONCLUSION

Sustained exposure to air pollutants can increase the occurrence of sleep disorder and can reduce sleep duration, while exposure to higher levels of greenness can protect sleep health from the side effects of air pollutants.

Long-term exposure to ambient black carbon is associated with sleep disturbance in college students

BACKGROUND

Evidence suggests an association of air pollution with sleep quality. However, there is limited knowledge regarding the effect of black carbon, a key component of ambient particulate matter, on sleep.

OBJECTIVES

To investigate the association of long-term exposure to black carbon and sleep quality in a group of college students.

METHODS

A retrospective cohort study was conducted in five universities in different regions of China. The concentrations of black carbon and other environment factors were defined as the averages during the 6 years prior to the recruitment. Averagely daily dose of black carbon exposure was estimated according to the respiratory rate. Sleep quality was measured by the Pittsburgh Sleep Quality Index (PSQI) with a cutoff >5 indicating sleep disturbance. Linear regression and logistic regression models were used to estimate the association. The sensitivity analyses were conducted to estimate the effects of 1-month, 6-month and 1-year mean levels of exposure to black carbon on sleep quality.

RESULTS

A total of 20,053 incoming college students were included. 29.3% reported impaired sleep quality, with a mean PSQI score of 4.3 ± 2.2. The logistic regression showed that the risk of impaired sleep quality was positively associated with black carbon exposure, especially in the highest quantile (OR: 1.26, 95% CI: 1.11-1.43) compared with the lowest quartile after adjusting for potential confounders. Subgroup analysis showed that the effect of black carbon on sleep quality was stronger in participants with higher BMI, lower household income, and lower parental educational level. The results of sensitivity analyses were similar with main analyses.

CONCLUSION

Long-term exposure to black carbon is associated with sleep disturbance in college students. Improvement of air quality may help improve sleep quality.

Thinking Health-related Behaviors in a Climate Change Context: A Narrative Review

BACKGROUND

Human activities have changed the environment so profoundly over the past two centuries that human-induced climate change is now posing serious health-related threats to current and future generations. Rapid action from all scientific fields, including behavioral medicine, is needed to contribute to both mitigation of, and adaption to, climate change.

PURPOSE

This article aims to identify potential bi-directional associations between climate change impacts and health-related behaviors, as well as a set of key actions for the behavioral medicine community.

METHODS

We synthesized the existing literature about (i) the impacts of rising temperatures, extreme weather events, air pollution, and rising sea level on individual behaviors (e.g., eating behaviors, physical activity, sleep, substance use, and preventive care) as well as the structural factors related to these behaviors (e.g., the food system); and (ii) the concurrent positive and negative roles that health-related behaviors can play in mitigation and adaptation to climate change.

RESULTS

Based on this literature review, we propose a first conceptual model of climate change and health-related behavior feedback loops. Key actions are proposed, with particular consideration for health equity implications of future behavioral interventions. Actions to bridge the fields of behavioral medicine and climate sciences are also discussed.

CONCLUSIONS

We contend that climate change is among the most urgent issues facing all scientists and should become a central priority for the behavioral medicine community.

The effect of the indoor environment on wheeze- and sleep-related symptoms in young Indian children

Background

Environmental exposures have a significant effect on respiratory and sleep symptoms in young children. Although the effect of air pollution on the respiratory symptoms in young children is well-established, less is known about the effect of household environmental characteristics and practices on wheeze and sleep concerns.

Aims

The aim of this pilot study is to explore the association between household environmental characteristics and practices with the symptoms of wheezing and sleep concerns in the past year in a convenience sample of young Indian children.

Materials and Methods

A detailed questionnaire about the child's home environment and respiratory and sleep symptoms was administered to the caregivers of 190 outpatients aged between 6 months and 5 years old at a teaching hospital.

Results

Indoor environmental characteristics and cleaning techniques were analyzed for the association with wheeze and sleep disorders. Half (50%) of the cohort had the symptoms of wheezing and 21% had occasional or frequent sleep concerns. Sleeping with a stuffed toy was significantly associated with both wheezing and sleep concerns (P = 0.05).

Conclusions

: Sleeping with a stuffed toy was a risk factor for wheeze and a risk factor for sleep disorders independent of wheeze.

The association between traffic-related air pollution and obstructive sleep apnea: A systematic review

Recent evidence suggests that air pollution exposure may be a contributing risk factor for obstructive sleep apnea (OSA), however, current evidence is conflicting. This systematic review aims to determine the association between air pollution and OSA in the general population, and examine for potential effect modification by seasonality, temperature and humidity. Five full-text articles were included in the review out of 905 articles found by systematically searching PubMed, Embase and Scopus databases. The included studies were limited to OSA in adults that were conducted in middle to high-income countries. The results highlight heterogeneity in the diagnostic criteria for OSA and method used to assess air pollution exposure. There is some evidence to support a relationship between air pollution exposure and OSA. However, the duration of exposure to different air pollutants including particulate matter (PM_2.5 and PM₁₀) and nitric oxides (NO₂) in relation to OSA varied across different seasons, temperatures, and countries. This variability of the pollutants across studies warrants a more robust study design using time-series analysis with multiple follow-ups to strengthen the evidence for this relationship before considering its implications.

Comprehensive review of the current literature on impact of ambient air pollution and sleep quality

Air pollution is associated with increasing morbidity, mortality and decreasing health and life span. Accumulating epidemiological and experimental evidence has shown that exposure to ambient air pollutants such as particulate matters (PM) and gaseous components [eg, nitrogen dioxide (NO₂), ozone (O₃)] has detrimental effects on sleep quality. We conducted this comprehensive review to explore the association between ambient air pollution and sleep quality. A systematic search was conducted with the databases of PubMed and Web of Science from inception to November 2019. Overall, 15 studies with 133,695 subjects that evaluated the association between ambient air pollution and sleep quality were conducted in 10 different countries (ie, USA, Brazil, Canada, Chile, China, Egypt, Germany, Iran, Mexico, and Turkey). Most included studies in the current review have shown that one or more air pollutants have negative influences on sleep quality. Air pollutants might be one of the triggers for poor sleep quality via disparate mechanisms including but not limited to the central ventilator control centers, central nervous system, allergic and non-allergic mechanisms. The possible association between air pollution and select chronic diseases (eg, mental illnesses, cardiovascular diseases) and behaviors (eg, impulsivity) may also play important roles in explaining the association between ambient air pollution and sleep quality. The associations and underlying mechanisms between ambient air pollutants and sleep quality need to be clarified with long-term, multi-centered cohort studies.

The association of short-term effects of air pollution and sleep disorders among elderly residents in China

Sleep disorders, oftentimes co-occurring with other mental and neurological disorders in the elderly, have been previously linked to short-term exposures to air pollution. Here we assessed such associations among 395,651 elderly Chinese in Ningbo, China where air pollution exposures are high and the proportion of elderly in the population is growing. We utilized a regional health information database in China (2008-2017) that collected information on hospital visits for sleep disorders among the elderly (age 60+). Measures of daily air pollution concentrations including nitrogen dioxide (NO₂), sulfur dioxide (SO₂), ozone (O₃), inhalable particles (PM₁₀), and ambient fine particulate matter (PM_2.5) were generated from seven environmental air quality monitoring sites in the study area. We used a generalized additive model to evaluate the associations between hospital visits for sleep disorders and short-term air pollution exposures for up to 7 days prior to a hospital visit. Short-term exposure to multiple air pollutants was associated with hospital visits for sleep disorders in an elderly population; with the strongest associations during 2-3 days prior to a clinic visits for traffic-related pollutants including air quality index (AQI), PM_2.5, PM₁₀, and NO₂ and for SO₂ and O₃ for 5 days prior to the visits. Our study based on large health care record system suggested that short-term air pollution exposures are associated with sleep disorders in the elderly. Considering the individual covariates that could not be adjusted in time-series analyses, future studies with individual level data and an ability to evaluate the severity of sleep disorders and their relation to mental and physical health in general and air pollution are needed. An aging population with increasing health problems and the frequency of high and very high air pollution events in China make our findings very health policy relevant.

Do the levels of particulate matters less than 10 μm and seasons affect sleep?

Background: There are few studies showing that the increase in particulate matters less than 10 μm (PM10) values increases the apnea-hypopnea index (AHI). We aimed to investigate relationship between air quality parameters and the seasons with the AHI.Methods: This was a retrospective study that included 500 adults. Polysomnography (PSG) was performed on all patients. Oxygen saturation, air temperature, relative humidity, and PM10 values were recorded in Düzce for every year. The parameters of the national air quality network and sleep parameters of 500 individuals hospitalized between 2015 and 2017 were checked.Results: A total of 500 patients were included in the study, of whom 316 (63.2%) were male and 184 (36.8%) were female. While the AHI value of patients who presented during 2016 was 27.5, it had significantly declined to 20.2 in 2017 (p = .024). A significant decline was observed in AHI values of OSA patients from 2016 to 2017 (p = .043). A significant positive correlation was observed between REM-related AHI and relative humidity (r  =  0.183, p = .002). Conclusions: This study showed a clear relationship between AHI and PM10 during winter when air pollution parameters are high in the region. PM10 emerged as a parameter that substantially increases the relative risk for OSA.

Association between air pollution and sleep disordered breathing in children

BACKGROUND AND OBJECTIVE

Similar to other respiratory diseases, sleep disordered breathing (SDB) may be exacerbated by air contaminants. Air pollution may have an impact on incidence and severity of SDB in children. The aims of this study were to examine potential associations between the exposure to different air pollutants and SDB symptoms in children.

METHODS

In this cross-sectional study, parents from first grade children of elementary schools throughout Chile were included. Data about clinical and family-related SDB risk factors, and the pediatric sleep questionnaire (PSQ) were obtained. Air pollution and meteorological data were obtained from the Chilean online air quality database.

RESULTS

A total of 564 children (44.9% males) aged (median) 6 years (5-9 year) were included. Prevalence of SDB based on PSQ was 17.7%. When examining air pollutants and conditions, only higher humidity (β = 0.005, 95%CI 0.001-0.009, P = 0.011) was significantly associated with higher PSQ scores after adjusting for demographic and household variables. Higher ozone (O₃ ) levels (OR = 1.693, 95%CI 1.409-2.035, P < 0.001), higher humidity (OR = 1.161, 95%CI 1.041-2.035, P = 0.008) and higher dioxide sulfur (SO₂ ) levels (OR = 1.16, 95%CI 1.07-1.94, P < 0.001]) were associated with increased odds of wheezing-related sleep disturbances after adjusting for confounders. Lower temperature was a significant predictor of snoring at least >3 nights/week, following adjustment (OR = 0.865, 95%CI 0.751-0.997, P < 0.05).

CONCLUSION

Sleep respiratory symptoms (wheezing and snoring) are significantly associated with air pollutants such as O₃ and SO₂ . In addition, meteorological conditions such as humidity and low temperatures may be also associated with SDB-related symptoms.

Prenatal particulate air pollution exposure and sleep disruption in preschoolers: Windows of susceptibility

BACKGROUND

The programming of sleep architecture begins in pregnancy and depends upon optimal in utero formation and maturation of the neural connectivity of the brain. Particulate air pollution exposure can disrupt fetal brain development but associations between fine particulate matter (PM_2.5) exposure during pregnancy and child sleep outcomes have not been previously explored.

METHODS

Analyses included 397 mother-child pairs enrolled in a pregnancy cohort in Mexico City. Daily ambient prenatal PM_2.5 exposure was estimated using a validated satellite-based spatio-temporally resolved prediction model. Child sleep periods were estimated objectively using wrist-worn, continuous actigraphy over a 1-week period at age 4-5 years. Data-driven advanced statistical methods (distributed lag models (DLMs)) were employed to identify sensitive windows whereby PM_2.5 exposure during gestation was significantly associated with changes in sleep duration or efficiency. Models were adjusted for maternal education, season, child's age, sex, and BMI z-score.

RESULTS

Mother's average age was 27.7 years, with 59% having at least a high school education. Children slept an average of 7.7 h at night, with mean 80.1% efficiency. The adjusted DLM identified windows of PM_2.5 exposure between 31 and 35 weeks gestation that were significantly associated with decreased sleep duration in children. In addition, increased PM_2.5 during weeks 1-8 was associated with decreased sleep efficiency. In other exposure windows (weeks 39-40), PM_2.5 was associated with increased sleep duration.

CONCLUSION

Prenatal PM_2.5 exposure is associated with altered sleep in preschool-aged children in Mexico City. Pollutant exposure during sensitive windows of pregnancy may have critical influence upon sleep programming.

Effects of Bedroom Environmental Conditions on the Severity of Obstructive Sleep Apnea

STUDY OBJECTIVES

Epidemiological associations have demonstrated the effects of long-term air pollution to obstructive sleep apnea (OSA) through a physiological mechanism linking particulate matter exposure to OSA. This study aimed to determine the relationship between bedroom environmental conditions, OSA severity, and sleep quality.

METHODS

Sixty-three participants were enrolled for an overnight polysomnography; OSA was diagnosed between May to August 2016. Personal characteristics and sleep quality were obtained by a face-to-face interview. Bedroom environments, including data on particulate matter with an aerodynamic diameter less than 10 μm (PM₁₀), temperature, and relative humidity, were collected by personal air sampling and a HOBO tempt/RH data logger.

RESULTS

Sixty-eight percent of the participants experienced poor sleep. An elevation in 1-year mean PM₁₀ concentration was significantly associated with an increase in apnea-hypopnea index (beta = 1.04, P = .021) and respiratory disturbance index (beta = 1.07, P = .013). An increase of bedroom temperature during sleep was significantly associated with poorer sleep quality (adjusted odds ratio 1.46, 95% confidence interval 1.01-2.10, P = .044). Associations between PM₁₀ concentration and respiratory disturbance index were observed in the dry season (beta = 0.59, P = .040) but not in the wet season (beta = 0.39, P = .215). PM₁₀ was not associated with subjective sleep quality.

CONCLUSIONS

Elevation of PM₁₀ concentration is significantly associated with increased OSA severity. Our findings suggest that reduction in exposure to particulate matter and suitable bedroom environments may lessen the severity of OSA and promote good sleep.