The impact of environmental exposures on sleep

Jackson, Chandra L; Gaston, Symielle A.

doi:10.1016/b978-0-12-815373-4.00008-3

Cited by 6 publications

(4 citation statements)

References 149 publications

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“…Specifically, studies may benefit from including other variables of the social neighborhood environment, particularly those related to social resources (e.g., frequency of speaking with others), in order to determine their influence on sleep [ 53 ]. Future studies will likely benefit from also examining physical environment variables (e.g., noise, housing density, green space) in relation to sleep, as there may be competing pathways that have different effects on sleep [ 53 ]. Future studies should employ an intersectional perspective (or multiple intersecting identities) with the neighborhood environment to understand its influence on health.…”

Section: Discussionmentioning

confidence: 99%

Neighborhood Social Cohesion and Sleep Health by Age, Sex/Gender, and Race/Ethnicity in the United States

Alhasan

Gaston

Jackson

et al. 2020

IJERPH

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Although low neighborhood social cohesion (nSC) has been linked with poor sleep, studies of racially/ethnically diverse participants using multiple sleep dimensions remain sparse. Using National Health Interview Survey data, we examined overall, age, sex/gender, and racial/ethnic-specific associations between nSC and sleep health among 167,153 adults. Self-reported nSC was categorized into low, medium, and high. Very short sleep duration was defined as <6 hours; short as <7 h, recommended as 7–9 h, and long as ≥9 h. Sleep disturbances were assessed based on trouble falling and staying asleep, waking up feeling unrested, and using sleep medication (all ≥3 days/times in the previous week). Adjusting for sociodemographics and other confounders, we used Poisson regression with robust variance to estimate prevalence ratios (PRs) and 95% confidence intervals (CIs) for sleep dimensions by low and medium vs. high nSC. The mean age of the sample was 47 ± 0.1 years, 52% of those included were women, and 69% were Non-Hispanic (NH)-White. Low vs. high nSC was associated with a higher prevalence of very short sleep (PR = 1.29; (95% CI = 1.23–1.36)). After adjustment, low vs. high nSC was associated with very short sleep duration among NH-White (PR = 1.34 (95% CI = 1.26–1.43)) and NH-Black (PR = 1.14 (95% CI = 1.02–1.28)) adults. Low nSC was associated with shorter sleep duration and sleep disturbances.

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Section: Discussionmentioning

confidence: 99%

Neighborhood Social Cohesion and Sleep Health by Age, Sex/Gender, and Race/Ethnicity in the United States

Alhasan

Gaston

Jackson

et al. 2020

IJERPH

Self Cite

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“…In general, minimum wintertime recommended indoor temperatures for sleeping range from 17–20°C and maximum summertime indoor temperatures range from 23–26°C 57 . In community settings, thermal comfort during sleep has been optimized at temperatures as high as 24°C (Lin & Deng 58 ).…”

Section: Discussionmentioning

confidence: 99%

“…56 In general, minimum wintertime recommended indoor temperatures for sleeping range from 17-20°C and maximum summertime indoor temperatures range from 23-26°C. 57 In community settings,…”

Section: Sleep and Atmentioning

confidence: 99%

Indoor apparent temperature, cognition, and daytime sleepiness among low‐income adults in a temperate climate

et al. 2021

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Due to climate change, extreme weather events are increasing, and extreme heat days are expected to warm by 3°C in the mid-latitudes by mid-century Intergovernmental Panel on Climate Change. 1 The impacts of extreme weather events, e.g., temperatures or precipitation amounts that were observed less than 1% of the time in a historical period, such as 1981-2010, 2 disproportionately fall on vulnerable communities. These vulnerable communities include persons of color, who are more likely to live in lower quality homes and neighborhoods with fewer resources due to racially discriminatory mortgage lending practices, and individuals with low incomes, who often lack extreme temperature mitigation methods or may limit energy usage to minimize utility costs. 3 Of U.S. cities, Detroit, Michigan may be particularly vulnerable. This city of 670 000 people American Community Survey 4 lies in the Koppen climate classification group "hot summer continental

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“…Poor sleep quality is found to be associated with worse well-being and quality of life in addition to a wide range of diseases such as cardiovascular diseases (CVD), diabetes, and mental health [ 2 – 5 ]. Due to the importance of sleep various factors are under investigation for their potential role in sleep such as the role of environmental factors, physiological systems, and genetics [ 6 – 8 ].…”

Section: Introductionmentioning

confidence: 99%

The association between energy-adjusted dietary inflammatory index and physical activity with sleep quality: a cross-sectional study

Zare¹,

Masoumi,

Zare

2024

BMC Nutr

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Background The study aimed to assess the independent and interactive association of energy-adjusted dietary inflammatory index (E-DII) and physical activity (PA) with sleep quality. Method A cross-sectional study was conducted on the 2466 participants (60% women). A 116-item food frequency questionnaire (FFQ) was applied to calculate E-DII, the International Physical Activity Questionnaire (IPAQ) long form for PA, and the Pittsburgh sleep quality index (PSQI) to assess sleep quality were collected via interview. Multivariate logistic regression was applied to assess independent and interactive associations of E-DII and PA with sleep quality. Result No significant association was observed between E-DII and sleep quality (OR: 0.96, 95% CI: 0.92_1.01). Also, there was no significant association between the levels of PA and sleep quality. Women had 70% increased odds for poor sleep quality (OR: 1.7, 95% CI: 1.39_2.09) compared with men. No interactive association was observed between E-DII and PA levels with sleep quality. Conclusion No significant association was observed between E-DII and PA levels with sleep quality. The study indicates a gender difference in sleep quality. Future prospective studies are required to confirm these findings.

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The impact of environmental exposures on sleep

Cited by 6 publications

References 149 publications

Neighborhood Social Cohesion and Sleep Health by Age, Sex/Gender, and Race/Ethnicity in the United States

Neighborhood Social Cohesion and Sleep Health by Age, Sex/Gender, and Race/Ethnicity in the United States

Indoor apparent temperature, cognition, and daytime sleepiness among low‐income adults in a temperate climate

The association between energy-adjusted dietary inflammatory index and physical activity with sleep quality: a cross-sectional study

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