scholarly journals The Relationship between Sleep-Disordered Breathing and Hypertension in a Nationally Representative Sample

2015 ◽  
Vol 2015 ◽  
pp. 1-7 ◽  
Author(s):  
Sarah Dee Geiger ◽  
Anoop Shankar
Keyword(s):  
Representative Sample ◽  
Sleep Disordered Breathing ◽  
Positive Association ◽  
Cross Sectional Study ◽  
Summary Score ◽  
Cross Sectional ◽  
Health And Nutrition ◽  
Race Ethnicity ◽  
Nationally Representative ◽  
Disordered Breathing

Sleep-disordered breathing (SDB), characterized by abnormal respiratory patterns or inadequate quantity of ventilation, is common in adults. A positive association between SDB and hypertension has been established, in both cross-sectional and longitudinal studies. One void in the literature concerns the role of race/ethnicity in the association between SDB and hypertension. In this context, a cross-sectional study was performed on 6,783 participants in the National Health and Nutrition Examination Survey 2005–2008. Participants were ≥age 20 and free from cardiovascular disease. The outcome of interest was hypertension, defined as ≥140 mmHg systolic blood pressure (BP), and/or ≥90 mmHg diastolic BP or antihypertensive medication use. Self-reported SDB was positively associated with hypertension, independent of confounders such as depression, diabetes, cholesterol levels, and body mass index, among others. The association persisted in subgroup analyses by gender, with a stronger association among males than females, as well as by race/ethnicity, with non-Hispanic blacks displaying the strongest association. In the multivariable-adjusted model, compared to a sleep summary score of zero (referent), the OR (95% CI) of hypertension for non-Hispanic blacks was 1.34 (0.98–1.83) for a sleep summary score of 1, 1.44 (1.06–1.97) for a score of 2 and 3.72 (1.98–7.00) for a score of >3;p-trend< 0.0001. SDB was positively associated with hypertension in a large, nationally representative sample of US adults. Along with being prevalent, SDB is also treatable. Therefore, our results are important for minority race/ethnic groups who typically experience a higher baseline for negative health outcomes.

scholarly journals Markers of Sleep Disordered Breathing and Diabetes Mellitus in a Multiethnic Sample of US Adults: Results from the National Health and Nutrition Examination Survey (2005–2008)

2012 ◽  
Vol 2012 ◽  
pp. 1-8 ◽  
Author(s):  
Charumathi Sabanayagam ◽  
Srinivas Teppala ◽  
Anoop Shankar
Keyword(s):  
Ethnic Differences ◽  
National Health ◽  
Sleep Disturbances ◽  
Sleep Disordered Breathing ◽  
Summary Score ◽  
Nutrition Examination Survey ◽  
Health And Nutrition ◽  
Nationally Representative ◽  
Multiethnic Sample ◽  
Disordered Breathing

We examined gender and ethnic differences in the association between sleep disordered breathing (SDB) and diabetes among 6,522 participants aged ≥20 years from the National Health and Nutrition Examination Survey 2005–08. SDB severity was defined based on an additive summary score including sleep duration, snoring, snorting, and daytime sleepiness. We found that the summary SDB score was significantly associated with diabetes after adjusting for potential confounders in the whole population. Compared to those without any sleep disturbance, the multivariable odds ratio (OR) (95% confidence interval (CI)) of diabetes among those with ≥3 sleep disturbances was 2.04 (1.46–2.87). In sex-specific analyses, this association was significant only in women (OR (95% CI) = 3.68 (2.01–6.72)) but not in men (1.10 (0.59–2.04)),P-interaction=0.01. However, there were no ethnic differences in this association,P-interaction=0.7. In a nationally representative sample of US adults, SDB was independently associated with diabetes only in women, but not in men.

scholarly journals Urinary Phenols and Parabens Metabolites with Cardiovascular Disease in United States Adult

2021 ◽  
Author(s):  
Ting Yin ◽  
Xu Zhu ◽  
Iokfai Cheang ◽  
Yufei Zhou ◽  
Shengen Liao ◽  
...  
Keyword(s):  
Heart Attack ◽  
Cross Sectional Study ◽  
Spline Regression ◽  
Multivariate Logistic Regression ◽  
Cvd Risk ◽  
Cross Sectional ◽  
Health And Nutrition ◽  
The Us ◽  
Nationally Representative ◽  
Positive Correlations

Abstract Environmental health has begun to examine the effects of higher-order chemical combinations. The current literature lacks studies exploring associations between multiple organic chemicals mixture and cardiometabolic disease (CVD). This study aimed to evaluate associations between urinary phenol and paraben metabolites and total and individual CVD among a nationally representative sample of adults in the US. This cross-sectional study analyzed 7 urinary chemicals detected among the general population from the 2005–2016 National Health and Nutrition Examination Survey (NHANES, n = 10,428). Multivariate logistic regression and weighted quantile sum (WQS) regression were applied to examine relationships between phenol and paraben metabolites, alone and combined, and total and individual CVD prevalence. WQS regression showed that phenol and paraben indices were independently correlated with total CVD (adjusted odds ratios [OR]: 1.16; 95% confidence interval [CI]:1.06–1.28; P = 0.002), angina (adjusted OR: 1.30; 95% CI: 1.07–1.59; P = 0.009), and heart attack (adjusted OR: 1.30; 95% CI: 1.12–1.51, P < 0.001). Urinary bisphenol A (URBPA, weight = 0.636) was the most heavily weighted component in the total CVD model. Compared with the lowest quartile, URBPA (OR: 1.52; 95% CI: 1.20–1.91; P = 0.001) levels in the highest quartile were independently associated with increased total CVD. Restricted cubic spline regression demonstrated positive correlations and non-linear associations between URBPA and both total CVD (P for nonlinearity = 0.032) and individual CVD (heart attack; P for nonlinearity = 0.031). Our findings suggested that high combined levels of phenols and parabens are associated with an increased CVD risk, with the URBPA contributing the highest risk.

scholarly journals Twitter-Derived Social Neighborhood Characteristics and Individual-Level Cardiometabolic Outcomes: Cross-Sectional Study in a Nationally Representative Sample (Preprint)

2020 ◽  
Author(s):  
Dina Huang ◽  
Yuru Huang ◽  
Sahil Khanna ◽  
Pallavi Dwivedi ◽  
Natalie Slopen ◽  
...  
Keyword(s):  
Physical Activity ◽  
Representative Sample ◽  
Public Health Research ◽  
Cross Sectional Study ◽  
Neighborhood Environment ◽  
Neighborhood Characteristics ◽  
Lower Prevalence ◽  
Cross Sectional ◽  
Individual Level ◽  
Nationally Representative

BACKGROUND Social media platforms such as Twitter can serve as a potential data source for public health research to characterize the social neighborhood environment. Few studies have linked Twitter-derived characteristics to individual-level health outcomes. OBJECTIVE This study aims to assess the association between Twitter-derived social neighborhood characteristics, including happiness, food, and physical activity mentions, with individual cardiometabolic outcomes using a nationally representative sample. METHODS We collected a random 1% of the geotagged tweets from April 2015 to March 2016 using Twitter’s Streaming Application Interface (API). Twitter-derived zip code characteristics on happiness, food, and physical activity were merged to individual outcomes from restricted-use National Health and Nutrition Examination Survey (NHANES) with residential zip codes. Separate regression analyses were performed for each of the neighborhood characteristics using NHANES 2011-2016 and 2007-2016. RESULTS Individuals living in the zip codes with the two highest tertiles of happy tweets reported BMI of 0.65 (95% CI –1.10 to –0.20) and 0.85 kg/m<sup>2</sup> (95% CI –1.48 to –0.21) lower than those living in zip codes with the lowest frequency of happy tweets. Happy tweets were also associated with a 6%-8% lower prevalence of hypertension. A higher prevalence of healthy food tweets was linked with an 11% (95% CI 2% to 21%) lower prevalence of obesity. Those living in areas with the highest and medium tertiles of physical activity tweets were associated with a lower prevalence of hypertension by 10% (95% CI 4% to 15%) and 8% (95% CI 2% to 14%), respectively. CONCLUSIONS Twitter-derived social neighborhood characteristics were associated with individual-level obesity and hypertension in a nationally representative sample of US adults. Twitter data could be used for capturing neighborhood sociocultural influences on chronic conditions and may be used as a platform for chronic outcomes prevention.

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