scholarly journals 1058 Modeling Self-reported Sleep Duration And Hypertension Using Deep Learning Network: Analysis Of The National Health And Nutrition Examination Survey Data

SLEEP ◽  
2020 ◽  
Vol 43 (Supplement_1) ◽  
pp. A402-A402
Author(s):  
S Williams ◽  
A Seixas ◽  
G Avirappattu ◽  
R Robbins ◽  
L Lough ◽  
...  
Keyword(s):  
Deep Learning ◽  
Sleep Duration ◽  
National Health ◽  
Network Architecture ◽  
Nutrition Examination Survey ◽  
Public Health Importance ◽  
Learning Network ◽  
Representative Study ◽  
Health And Nutrition ◽  
Deep Learning Network

Abstract Introduction Epidemiologic data show strong associations between self-reported sleep duration and hypertension (HTN). Modeling these associations is suboptimal when utilizing traditional logistic regressions. In this study, we modeled the associations of sleep duration and HTN using Deep Learning Network. Methods Data were extracted from participants (n=38,540) in the National Health and Nutrition Examination Survey (2006-2016), a nationally representative study of the US civilian non-institutionalized population. Self-reported demographic, medical history and sleep duration were determined from household interview questions. HTN was determined as SBP ≥ 130 mmHg and DBP ≥ 80 mmHg. We used a deep neural network architecture with three hidden layers with two input features and one binary output to model associations of sleep duration with HTN. The input features are the hours of sleep (limited to between 4 and 10 hours) and its square; and the output variable HTN. Probability predictions were generated 100 times from resampled (with replacement) data and averaged. Results Participants ranged from 18 to 85 years old; 51% Female, 41% white, 22% black, 26% Hispanic, 46% married, and 25% < high school. The model showed that sleeping 7 hours habitually was associated with the least observed HTN probabilities (P=0.023%). HTN probabilities increased as sleep duration decreased (6hrs=0.05%; 5hrs=0.110%; 4hrs=0.16%); HTN probabilities for long sleepers were: (8hrs=0.027; 9hrs=0.024; 10hrs=0.022). Whites showed sleeping 7hrs or 9hrs was associated with lowest HTN probabilities (0.008 vs. 0.005); blacks showed the lowest HTN probabilities associated with sleeping 8hrs (0.07), and Hispanics showed the lowest HTN probabilities sleeping 7hrs (0.04). Conclusion We found that sleeping 7 hours habitually confers the least amount of risk for HTN. Probability of HTN varies as a function of individual’s sex and race/ethnicity. Likewise, the finding that blacks experience the lowest HTN probability when they sleep habitually 8 hours is of great public health importance. Support This study was supported by funding from the NIH: R01MD007716, R01HL142066, R01AG056531, T32HL129953, K01HL135452, and K07AG052685.

scholarly journals 1046 Assessing Sleep-Related Hypertension Risks Using JNC 8 Guidelines: Analysis Of The National Health And Nutrition Examination Survey Data

SLEEP ◽  
2020 ◽  
Vol 43 (Supplement_1) ◽  
pp. A397-A397
Author(s):  
L Lough ◽  
A Seixas ◽  
G Avirappattu ◽  
R Robbins ◽  
A Rogers ◽  
...  
Keyword(s):  
Sleep Duration ◽  
National Health ◽  
Stage I ◽  
Stage Ii ◽  
Nutrition Examination Survey ◽  
Insufficient Sleep ◽  
Representative Study ◽  
Health And Nutrition ◽  
Race Ethnicity ◽  
Nationally Representative

Abstract Introduction Associations between self-reported sleep duration and risk of hypertension (HTN) are well established. The level of sleep-related HTN risk based on the new JNC 8 classification guidelines requires further research. In this study, we modeled the associations of insufficient sleep with HTN using the National Health and Nutrition Examination Survey (NHANES). Methods Data were extracted from the 2006-2016 NHANES (n=38,540), a nationally representative study of the US civilian population. Self-reported demographic and sleep duration were determined from household interview questions. Insufficient sleep was categorized as sleeping <7hrs. Using 2017 ACC/AHA guidelines, HTN was classified as elevated (SBP:120-129mmHg and DBP <80mmHg, Stage I (SBP:130-139mmHg and DBP:80-89mmHg), or Stage II (SBP ≥140mmHg and DBP ≥90mmHg). Logistic regression modeling was performed using R. Results Participants’ ages ranged from 18-85 years. Of the sample, 51% were female, 41% white, 22% black, 26% Hispanic, 8% others; 46% were married, and 25% completed <high school. The model showed strong age and BMI-adjusted associations of insufficient sleep with HTN at all levels: (elevated: OR=1.079, CI=1.03-1.13; Stage I: OR=1.127, CI=1.07-1.18, and Stage II: OR=1.334, CI=1.17-1.52). Important sex and race/ethnicity differences in sleep-related HTN risks were observed: males (elevated: OR=1.024, CI=0.95-1.10; Stage I: OR=1.077, CI=1.01-1.15, and Stage II: OR=1.254, CI=1.06-1.48); females (elevated: OR=1.125, CI=1.05-1.21; Stage I: OR=1.170, CI=1.08-1.26, and Stage II: OR=1.445, CI=1.17-1.79); whites (elevated: OR=1.007, CI=0.93-1.08; Stage I: OR=1.030, CI=0.95-1.12, and Stage II: OR=1.131, CI=0.90-1.43); blacks (elevated: OR=1.047, CI=0.94-1.16; Stage I: OR=1.080, CI=0.97-1.20, and Stage II: OR=1.179, CI=0.95-1.46); and Hispanics (elevated: OR=1.066, CI=0.94-1.21; State I: OR=1.089, CI=0.96-1.24, and Stage II: OR=1.337, CI=0.92-1.92). Conclusion Our analyses showed that sleep-related HTN risks vary as a function of individual’s sex and race/ethnicity. Increasing sleep duration at all HTN severity level is important and males and Hispanics at Stage II HTN might benefit the most. Support This study was supported by funding from the NIH: R01MD007716,R01HL142066, R01AG056531, T32HL129953, K01HL135452 and K07AG052685

scholarly journals Urinary 2,5-dicholorophenol and 2,4-dichlorophenol concentrations and prevalent disease among adults in the National Health and Nutrition Examination Survey (NHANES)

2018 ◽  
Vol 76 (3) ◽  
pp. 181-188 ◽  
Author(s):  
Mary R Rooney ◽  
Pamela L Lutsey ◽  
Parveen Bhatti ◽  
Anna Prizment
Keyword(s):  
National Health ◽  
Linear Trend ◽  
Nutrition Examination Survey ◽  
Cvd Risk ◽  
Cross Sectional ◽  
Adverse Health Outcomes ◽  
Representative Study ◽  
Health And Nutrition ◽  
Prevalent Disease ◽  
Nationally Representative

ObjectiveTo test cross-sectional associations between urinary concentrations of 2,5-dichlorophenol (2,5-DCP) and 2,4-dichlorophenol (2,4-DCP) with the prevalence of cardiovascular disease (CVD), cancer, lung disease, thyroid problems and liver conditions.MethodsLogistic regression was used to evaluate associations of urinary concentrations of 2,5-DCP and 2,4-DCP with prevalence of various medical conditions among 3617 National Health and Nutrition Examination Survey participants from 2007–2008 and 2009–2010. ORs and 95% CIs for each disease were estimated. All regression models were adjusted for urinary creatinine.ResultsWe observed a monotonically increasing association between quartiles of 2,5-DCP and prevalence of CVD. After adjustment for sociodemographic and lifestyle characteristics, participants with the highest versus lowest quartile of urinary 2,5-DCP had an OR=1.84 (95% CI 1.26 to 2.70) (p linear trend=0.006). The association was similar with further adjustment for established clinical CVD risk factors. Higher 2,5-DCP was also associated with prevalence of all cancers combined (ORQ4 vs Q1=1.50 (95% CI 1.00 to 2.26); p trend=0.05) and, in exploratory analyses, with gynaecological cancers (ORQ4 vs Q1=4.15 (95% CI 1.51 to 11.40; p trend=0.01)). No associations were detected between 2,5-DCP and lung diseases, thyroid problems or liver conditions, nor between 2,4-DCP and prevalent disease.ConclusionIn this nationally representative study, higher urinary 2,5-DCP concentrations were associated with greater prevalence of CVD and all cancers combined. Further examination may be warranted to assess whether chronic exposure to 2,5-DCP is associated with incidence of adverse health outcomes.

Short Sleep Duration as a Risk Factor of Cardiovascular Disease in Korean Adults: Secondary Analysis of the Fifth Korean National Health and Nutrition Examination Survey

2020 ◽  
Author(s):  
Wonjung NOH ◽  
Heakyung MOON
Keyword(s):  
Cardiovascular Disease ◽  
Cardiovascular Diseases ◽  
Sleep Duration ◽  
National Health ◽  
Large Scale ◽  
Nutrition Examination Survey ◽  
Short Sleep Duration ◽  
Cross Sectional ◽  
Korean Adults ◽  
Health And Nutrition

Background: Sleep durations shorter or longer than 7 h are associated with cardiovascular diseases. We aimed to investigate the association among sleep duration, risk factors of hypertension, and cardiovascular disease in South Korea using data from a recent large-scale survey. Methods: Data produced by the Korea National Health and Nutrition Examination Survey (KNHANES) were subjected to multivariate logistic analysis. This cross-sectional, nationally representative survey was conducted from Jan 1 to Dec 31, 2011, by the Korean Center for Disease Control and Prevention. Overall, 6,466 participated. Data were analyzed using STATA version 13.0 (STATA Corp LP). Results: The participants’ socioeconomic, physical, and lifestyle factors were statistically different between the two age groups (<65 yr and ≥65 yr). Shorter sleep durations were associated with hypertension in individuals younger than 65 yr of age. On the other hand, in participants aged ≥65 yr, both shorter and longer sleep durations were associated with hypertension, while shorter sleep durations were associated with cardiovascular diseases. Conclusion: Unusual sleep durations are associated with an increased prevalence of cardiovascular disease among Korean adults. The effect of sleep duration appears to be more significant in individuals with hypertension, suggesting that the management of hypertension should be prioritized in patients older than 65 year.

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