Health Survey Research Articles

A new method for estimating recent adult mortality from summary sibling histories.

In low- and middle-income countries with limited death registration statistics, adult mortality rates are commonly estimated through sibling survival histories (SSH). In full SSH, respondents are asked about either the age, or the age and time of death, of each of their siblings in turn. Full SSH allow direct mortality estimation but can be time-consuming to collect. In this study, we introduce a new indirect estimation method using summary SSH, requiring only a limited set of questions to produce recent mortality estimates. We developed a set of 192 microsimulations representing a wide range of fertility and mortality patterns, and reconstructed summary SSH within these simulations as if they had been collected from adults aged 15-49. For each age group of respondents, we calculated coefficients that convert the proportion of adult siblings who died in the previous 5 years into age-specific mortality rates. We then evaluated the performance of this new method with real data, using 154 Demographic and Health Surveys. The new indirect method provides mortality rates that are consistent with direct estimates from full SSH. Across all DHS, the mean absolute percentage error in the risk of dying in adulthood (ages 15-49) is 6% for both men and women. In all but one survey, 95% confidence intervals around the direct and indirect estimates overlap. As with direct estimates of adult mortality from SSH, the indirect estimates remain, however, lower than those of the Population Division of the United Nations. Summary questions on sibling survival can be included in censuses and rapid turn-around surveys for the measurement of recent adult mortality.

Oral health inequities over time among older adults of different racial/ethnic backgrounds: a comparative decomposition analysis across Australia and the United States.

Although the prevalence of poor oral health among older populations in Australia and the United States is higher, the contribution of ethnicity status is unknown. We aimed to estimate the contribution of social inequalities in oral health among older populations in Australia and the United States. Cross-sectional study design using data from Australia's National Survey of Adult Oral Health (NSAOH 2004-06 and 2017-18) and the United States' National Health and Nutrition Examination Survey (NHANES 2003-04 and 2011-16). Participants included in the analysis were aged 65 + years. Oaxaca-Blinder type decomposition analysis was used to assess the contribution of demographic (age, sex), socioeconomic position (educational attainment, household income) and dental behaviors (last dental visit) to changes in prevalence of edentulism and non-functional dentition, and mean number of missing teeth by ethnicity status over time in Australia and the United States. The number of participants aged 65 + years who provided clinical and sociodemographic/dental behaviour data was 1043 and 1269 in NSAOH 2004-06 and 2017-18, and 1372 and 1328 in NHANES 2003-04 and 2011-16 respectively. The prevalence of edentulism was from 13 percent (NHANES 2011-16) to 28 percent (NSAOH 2004-06), while the prevalence of non-functional dentition was from 41 percent (NSAOH 2017-18 and NHANES 2011-16) to 61 percent (NHANES 2003-04). The mean number of missing teeth was from 11 (NSAOH 2017-18) to 18 (NHANES 2003-04). The prevalence of edentulism and non-functional dentition, and the mean number of missing teeth were higher among older Australians identifying as White and the opposite results were observed among older Americans identifying as Non-White. For older adults in Australia, risk factors with the greatest impact on oral health outcomes by ethnicity status were educational attainment and household income. For older adults in the United States, the most dominant risk factor for non-optimal oral health outcomes by ethnicity status was last dental visit. There are important policy translation implications from our findings, as they indicate that social and structural systems in Australia and the United States operate differently in the context of oral health over time among culturally diverse older citizens. This information will help inform initiatives that both target effective oral health promotion for older, culturally-diverse populations and provide evidence for the distribution of resources in the public dental health setting for this age group and cultural demographic.

Association between depression and diabetes among American adults using NHANES data from 2005 to 2020.

Depression impairs self-management in diabetic patients, exacerbates insulin resistance, and elevates glycated hemoglobin (HbA1c) levels, thereby increasing diabetes risk. This study analyzed data from 30,386 participants in the National Health and Nutrition Examination Survey (NHANES), assessing depression severity using the 9-item Patient Health Questionnaire (PHQ-9) and evaluating diabetes status through clinical markers such as HbA1c, random blood glucose, and fasting blood glucose. Participants were stratified by depression severity and diabetes status to examine the relationship between depression and diabetes risk. We applied descriptive statistics, logistic regression models, subgroup analyses, and restricted cubic spline (RCS) modeling to explore this association. The results revealed that greater depression severity was significantly associated with increased diabetes incidence, elevated HbA1c, fasting glucose, and insulin levels. Multivariate regression analysis confirmed a consistent positive correlation between depression severity and diabetes risk. Subgroup analyses further identified significant relationships between depression and various demographic and behavioral factors, including gender, race, BMI, smoking status, and prediabetic conditions. Additionally, the RCS model demonstrated a clear increase in diabetes risk with rising PHQ-9 scores. In conclusion, our study demonstrates that the severity of depression is positively correlated with the risk of diabetes, and this association may be closely linked to various glycemic and lipid metabolic parameters.

Abstract 4136280: Inflammation and Cancer Mortality among CVD Individuals: NHANES-Continuous study

Background: Both cancer and cardiovascular disease (CVD) are the leading causes of death worldwide. While previous research showed a relationship between CVD and cancer incidence, limited evidence is available regarding the relationship between inflammation and cancer mortality in CVD patients. Methods: A prospective cohort study using data from the continuous National Health and Nutrition Examination Survey (NHANES) (1999-2016) merged with Medicare and National Death Index (NDI) mortality data until December 31, 2018. We included CVD individuals with no history of cancer at baseline to investigate the relationship between inflammatory markers, including Neutrophil-to-Lymphocyte ratio (NLR), as the main exposure and cancer mortality as the main outcome. Results: We included 4,089 adult individuals representing 127,809,316 individuals (47% females, 72% non-Hispanic Whites, and 5% Hispanics). The risk factor analysis (Table) using the competing risk modeling showed that while inflammatory markers did not show significant associations with cancer mortality in the overall analysis, upon stratification by race/ethnicity, NH-Blacks showed higher cancer mortality with higher WBC count (aHR 5.61, 95% CI 1.66-18.91, p=0.007) and NLR (aHR 2.97, 95% CI 1.19-7.42, p=0.02), but lower cancer mortality with higher neutrophil (aHR 0.08, 95% CI 0.01-0.60, p=0.02) and lymphocyte (aHR 0.34, 95% CI 0.15-0.80, p=0.02) counts. Notably, our NH-Blacks showed lower neutrophils at baseline than others which could be explained by a phenomenon called “Benign Ethnic Neutropenia -BEN-” that still brings more complexity when interpreting NLR. Conclusions: Our study highlights the close relationship between cardiovascular health, inflammation, and cancer mortality. The findings also suggest that race/ethnicity may play a significant role in the relationship between inflammation and cancer mortality among individuals with CVD. Yet, further research is still needed to underpin the biological pathways influencing this relationship.

Association between estimated glucose disposal rate and female infertility: a cross-sectional study

BackgroundInsulin resistance (IR) can lead to infertility in women. The primary objective of this research was to examine how estimated glucose disposal rate (eGDR) correlates with infertility in women, assessing its validity as an indicator of IR.MethodsData from the National Health and Nutrition Examination Survey spanning 2013 to 2018 were analyzed in this study. In order to investigate the correlation between eGDR and the prevalence of female infertility, this study used a combination of weighted multivariate regression analysis, restricted cubic spline (RCS) analysis, subgroup analyses, sensitive analysis, and receiver operating characteristic (ROC) curves.ResultsThis study enrolled 2541 women, with an average age of (32.52 ± 0.23) years. The overall infertility rate was 14.27%. A negative relationship was observed between eGDR levels and female infertility. Each increment of one unit in eGDR was linked to a 14% reduction in infertility incidence (OR = 0.86, 95% CI 0.80–0.94). RCS analysis revealed a nonlinear, inverse correlation between eGDR and female infertility. Subgroup analyses indicated that age influenced the association between eGDR and female infertility. The ROC curve suggested that eGDR was significantly better than HOMA-IR in predicting infertility [eGDR: 0.632 (95% CI: 0.603, 0.660) vs. HOMA-IR: 0.543 (95% CI: 0.514, 0.572)].ConclusionThere was an observed association where lower eGDR levels were linked with higher rates of female infertility. These results emphasize the significance of implementing measures to manage IR to protect women’s reproductive health.

Abstract 4125511: L-shaped association of non-high-density lipoprotein cholesterol to high-density lipoprotein cholesterol ratio (NHHR) and arterial stiffness: a cross-sectional study

Background: Serum lipids and ratios are known to be associated with cardiovascular disease (CVD). However, studies on NHHR and the association with arterial stiffness in the US population have not been reported. We sought to investigate the relationship between NHHR and arterial stiffness by arterial stiffness in subjects from the US population assessed by ePWV. Methods: This study included 23, 456 adults from the National Health and Nutrition Examination Survey (NHANES) spanning from 2007 to 2016. Multivariate linear regression analysis, threshold effects, smooth curve fitting, and subgroup analysis. We aimed to elucidate the relationship between NHHR and risk of arterial stiffness. Results: The mean age of the population in this study was 49.56 ± 17.58 yrs. The mean NHHR was 2.97 ± 1.48, and in the fully adjusted model, a negative correlation was observed between NHHR and ePWV scores (β = -0.01, 95% CI: -0.02, -0.00), with the highest tertile of the NHHR having a mean ePWV score that was 0.06 units lower than the lowest quartile of the NHHR by 0.06 units (β = -0.06, 95% CI: -0.09, -0.02; P for trend = 0.0068). An L-shaped relationship between NHHR and ePWV scores was found by using smoothed curve fitting. The cutoff value was 2.13, and in the hypertensive population, the cutoff value was 1.93. Conclusions: There is an L-shaped association between NHHR levels and atherosclerosis in adults in the United States, and controlling NHHR is clinically important for reducing the risk of developing atherosclerosis.

Abstract 4138718: Teen Pregnancy and Risk of Premature Major Adverse Cardiovascular Events

Introduction: Teen pregnancy (TP), defined as pregnancy between 10 and 19 years, is associated with adverse pregnancy outcomes and perpetuates socioeconomic disadvantage, but the impact in later life is not well studied. We investigated the association of TP with premature major adverse cardiovascular events (PMACE) Methods: We used data from the National Health and Nutrition Examination Survey 1999–2018. Surveys were linked with the National Death Index to ascertain mortality records. Only adult females aged 20 years and older were included in the analysis. Participants were divided into 3 groups based on age at their first life birth: 19 or younger (TP), 20 and above (non-TP), and nulliparous women (NP). TP was ascertained by age at first life birth ≤ 19 years, and PMACE was defined as any self-reported diagnosis of coronary artery disease, stroke, heart failure, or all-cause mortality occurring before age 65. We assessed the association between these groups and PMACE using univariate and multivariate logistic regression models. Result: Among 19,737 (weighted frequency of 83,450,668) adult females, 24.2% had a history of TP, 54.3% had a history of non-TP and 21.5% were NP. Compared with NP females, females with TP had a higher odd of PMACE with an unadjusted odd ratio of 3.75 (95%CI, 2.80 - 5.01) versus 2.07 (1.55 – 2.75) among non-TP. Adjusting for age, race, alcohol use, smoking, and social determinants of health factors such as income, educational status, insurance status, and food insecurity, TP remained independently associated with higher odds of PMACE with an adjusted odd ratio of 1.66 (95%CI, 1.19 – 2.30); p=0.003, but this association was not statistically significant among non-TP females with aOR 1.32 (0.95 – 1.84); p=0.10. Conclusion: Teen pregnancy was associated with higher likelihood of PMACE. This association may be indicative of the enduring impact of social determinants of health factors associated with teen pregnancy into adulthood.

Abstract 4120918: Prevalence Of Prediabetes According To Sleep Apnea Status

Aim: The association between obstructive sleep apnea and prediabetes using STOP-Bang questionnaire is unknown. We aimed to investigate prevalence of prediabetes among people according to sleep apnea status. Methods: This cross-sectional study included 10131 Korean adults without diabetes with information of STOP-Bang score were identified from the dataset of the Korea National Health and Nutrition Examination Survey 2019-2021. Prediabetes was categorized into three subsets: fasting blood glucose only (fasting blood glucose 100-125 mg/dL, HbA1c <5.7%), HbA1c only group (fasting blood glucose <100mg/dL, HbA1c 5.7-6.4%) and both fasting blood glucose and HbA1c group (fasting blood glucose 100-125mg/dL, HbA1c 5.7-6.4%). We used multivariable logistic regression to see the odds ratio and 95% confidence intervals for prediabetes. Results: There were 3828 subjects who reported STOP-Bang score of ≥3, which shows increased risk of OSA. Multivariable-adjusted odds ratio (95% confidence interval) for prediabetes meeting both fasting blood glucose and HbA1c comparing STOP-Bang score of ≥3 with <3 was 1.06 (1.01-1.12). In further evaluation of separate gender groups, statistically significant results were seen in women. The multivariable adjusted result correlated with that of the total population. (odds ratio 1.20, 95% confidence interval 1.10-1.30) This was more prominently seen in postmenopausal women. (odds ratio 1.21, 95% confidence interval 1.11-1.32) Conclusion: In Korean general population, the odds of the risk of obstructive sleep apnea was significant in prediabetes group meeting both fasting blood glucose and HbA1c, especially in postmenopausal women.

Relationship between Cardiometabolic index and endometriosis in a US nationally representative sample: results from NHANES 1999-2006

BackgroundEndometriosis is an estrogen-dependent gynecological endocrine condition and a systemic inflammatory disease associated to improper lipid metabolism and increased cardiovascular risk. The Cardiometabolic Index (CMI) is a novel indicator representing visceral adipose tissue distribution and metabolic dysfunction, integrating lipid metabolism indicators and the waist-to-height ratio. While anomalies in lipid metabolism are often associated with (BMI) Body Mass Index, literature consistently shows a negative link between endometriosis and female BMI, and some studies have found that endometriosis is one of the few reproductive diseases not persistently positively correlated with obesity. Given the limitations of BMI, a comprehensive index like CMI is crucial for exploring the incidence of endometriosis. Currently, research on the correlation between CMI and endometriosis is lacking, prompting this study to investigate this association.ObjectiveTo investigate the association between the CMI and the risk of having endometriosis in a sample representing the entire U.S. population.Study designA cross-sectional analysis was conducted using data from four cycles of the National Health and Nutrition Examination Survey (NHANES) spanning the years 1999 to 2006. The study included individuals aged 20 to 54 with a documented history of endometriosis and complete CMI data. Logistic regression analysis, subgroup and interaction analyses, smooth curve fitting, and restricted cubic splines (RCS) were utilized to examine the association between CMI and endometriosis.ResultsThe study found that individuals with higher CMI had an increased probability of developing endometriosis. This relationship remained significant after adjusting for potential confounders such as age, ethnicity, Poverty Income Ratio (PIR), drinking, smoking, education level, and marital status. The fully adjusted model revealed a positive correlation between CMI and endometriosis (OR = 1.21; 95% CI, 1.04–1.40, p < 0.05). Subgroup and interaction analyses showed no significant effect modification by age, BMI, PIR, hypertension, drinking, smoking, or menarche age (all p-values for interaction > 0.05).ConclusionOur study shows a link between CMI and the chance of getting endometriosis.Due to the common occurrence of endometriosis and the lack of clarity surrounding their cause, more study is needed to confirm our results and find out if CMI could be used as a warning sign for endometriosis.

Abstract 4125581: Association Between Life’s Essential 8 and Premature Atherosclerotic Cardiovascular Disease: A Cross-sectional Study Among Young Adults in the United States

Background: Among patients presenting with atherosclerotic cardiovascular disease (ASCVD), the proportion of young individuals has increased in recent years. Life’s Essential 8 (LE8), containing two domains of health behaviors and health factors, is an updated monitoring measurement of cardiovascular health by assessing 8 modifiable risk factors. Objective: The objective of this study is to investigate the potential relationship between the LE8 score and a history of premature ASCVD among young adults residing in the United States. Methods: This population-based cross-sectional study utilized data from the National Health and Nutrition Examination Survey spanning 2005 to 2018, focusing specifically on adults aged 20 to 45. LE8 score was measured and categorized into low (0-49), moderate (50-79), and high (80-100) levels (Figure 1). Premature ASCVD status was determined by interviews conducted at enrollment, encompassing a self-reported composite disease history of coronary heart disease, angina pectoris, heart attack, and stroke. Following descriptive statistics, weighted multivariable logistic regression and restricted cubic spline models were employed to evaluate the associations between the LE8 score and premature ASCVD. Additionally, subscale and subgroup analysis were developed. Results: Among 17,499 participants, 9846 were eligible for analysis (weighted mean age, 32.7 years; male, 50.3%), and 167 had premature ASCVD history (weighted percentage, 1.46%). The weighted mean LE8 score of the study population was 71.99 (0.3). Following the adjustment for potential confounders, individuals with higher LE8 scores exhibited a reduced risk of developing premature ASCVD (Table 1). A nonlinear relationship was observed and similar patterns were also identified in the association of health behaviors and health factors scores with premature ASCVD (Figure 2). This inverse association was consistently observed across various subgroups, including sex, age strata, ethnicity, education, and income levels, with no significant interactions identified. Conclusions: The LE8 score and its subscale scores exhibited a negative, nonlinear association with premature ASCVD. Maintaining a healthy lifestyle and controlling modifiable risk factors are crucial in preventing premature ASCVD in the younger demographic. Further studies, encompassing prospective cohorts, are needed to confirm this finding.

Association between systemic immunity-inflammation index and glucose regulation in non-diabetic population: A population-based study from the NHANES (2005-2016).

To investigated the link between the systemic immunity-inflammation index (SII), a new inflammatory biomarker, and the risk of abnormal glucose regulation in non-diabetic population. Using data from the 2005-2016 National Health and Nutrition Examination Survey (NHANES), we conducted a cross-sectional study on non-diabetic adults with data on SII and glucose regulation markers. We analyzed the relationship between SII and indicators of glucose regulation, including fasting plasma glucose, fasting insulin, hemoglobin A1c, oral glucose tolerance test (OGTT), and states of abnormal glucose regulation like impaired glucose tolerance (IGT), insulin resistance, and prediabetes. Adjusting for confounders, higher SII levels were significantly associated with a higher OGTT and a greater likelihood of IGT (OR = 2.673, 95% CI: 1.845, 3.873). In subgroup analysis, participants without hyperlipidemia in the highest SII quartile had a 240% higher odds of IGT compared to those in the lowest quartile (OR = 3.407, 95%CI: 1.995, 5.820), an association not observed in those with hyperlipidemia (p for interaction < 0.05). SII emerges as a useful biomarker for identifying IGT in non-diabetic individuals, specifically in those without hyperlipidemia.

Abstract 4112853: Trends in Statin Use for the Secondary Prevention of Atherosclerotic Cardiovascular Disease among U.S. Adults by Age, 1999-2020

Background: Current research focusing on trends in statin medication usage, particularly for different age groups, is limited. This study explored the change trends in statin usage from 1999 to 2020, with a specific focus on different age groups. Methods: Utilizing data from the National Health and Nutrition Examination Survey spanning the period from 1999 to 2020, our study included individuals aged 18 years and older diagnosed with atherosclerotic cardiovascular disease (ASCVD). Results: In the 18-44 years age group, usage changed from 18.34% (95% CI, 0.18 to 36.50) in 1999 to 16.63% (95% CI, 0.36 to 32.91) in 2020 (linear P value = 0.540, quadratic P value = 0.610) (Figure 1). For individuals aged 45-64 years, usage increased from 39.33% (95% CI, 29.62 to 49.05) in 1999 to 54.97% (95% CI, 47.10 to 662.83) in 2020 (linear P value &lt; 0.001, quadratic P value = 0.777) (Figure 1). In the group aged 65 years and older, usage increased from 35.17% (95% CI, 29.57 to 40.77) in 1999 to 60.62% (95% CI, 55.73 to 65.51) in 2010, and further to 68.62% (95% CI, 63.65 to 73.60) in 2020 (quadratic P value &lt; 0.001) (Figure 1). There was an interaction effect between statin usage trends and age (P for interaction &lt;0.001) (Figure 1). Conclusion: Overall, current health policies are effective for the use of statins for the secondary prevention of ASCVD. However, there was almost no improvement in statin usage within the 18-44 years age group. This highlights the need for greater focus on young ASCVD patients. Therefore, additional research is needed on statin use among young people.

Abstract 4128377: Association between Mean Platelet Volume (MPV) and coronary artery disease: An analysis of NHANEs 2017-2020

Background: Recent data showed that mean platelet volume (MPV) is linked to mortality after myocardial infarction and restenosis following coronary angioplasty. However, its association with coronary artery disease (CAD) remains unclear. Therefore, we aim to investigate the association between MPV and CAD using a nationwide database. Methods: We analyzed retrospective cross-sectional data from the National Health and Nutrition Examination Survey (NHANES) 2017-2020, including participants aged 18 years and older. The data on MPV were classified into three groups: below the 10th percentile (P10), between the 10th and 90th percentiles (P10 to P90), and above the 90th percentile (P90). Univariable and multivariable logistic regression models were utilized to identify the association between MPV and CAD. Results: A total of 12,156 patients with MPV results were identified. Their mean age was 37 ± 24 years, with females constituting 51.0% of the population. The racial distribution was primarily White at 33.8%, Black at 25.7%, Mexican American at 13.2%, Asian at 10.7%, and other races at 16.6%. The participants were categorized into three MPV groups: below P10 (11.2%), P10 to P90 (77.3%), and above P90 (11.5%), with median MPV values of 6.8, 8, and 9.7 fL, respectively. In a univariable analysis using participants with MPV in the P10 to P90 as a reference, those with MPV above the 90th percentile had a significantly higher risk of CAD, with an OR of 1.39 (P90-MPV: 95% CI 1.05, 1.83; P=0.021). No significant association was found between participants with MPV below the 10th percentile and risk of CAD (P10-MPV: OR 0.91, 95% CI 0.59, 1.41; P=0.684). After adjusting for age, gender, smoking status, blood pressure (SBP &gt;130 vs &lt;130 mmHg), type 2 diabetes, urine albumin creatinine levels, serum creatinine, heart failure, and stroke history, the association between those with MPV above P90 and increased CAD risk remained significant (P90-MPV aOR 1.65; 95% CI 1.16, 2.34; P=0.005). Gender and race did not modify this effect. Conclusion: Our findings indicate that high MPV (above the 90th percentile) is positively associated with the risk of CAD in the general population. Further longitudinal cohort studies are necessary to explore this relationship and its clinical implications thoroughly.

Abstract 4132341: Systematic Examination of the AHA PREVENT Equations

Background: The novel AHA Predicting Risk of CVD Events (PREVENT) equations newly incorporate predictors (estimated glomerular filtration rate [eGFR]) and outcomes (heart failure [HF]) relevant to the novel construct of cardiovascular-kidney-metabolic (CKM) syndrome. Aims: We sought to characterize the intrinsic properties of the PREVENT equations by simulating different risk profiles across the age and CKM risk spectrum. Methods: We applied the PREVENT base equations to estimate 10-year predicted risk for total CVD, which includes atherosclerotic CVD and HF. First, we calculated risk estimates for a hypothetical individual varying age from 30-79 years with an average risk factor profile (mean population risk factor levels based on National Health and Nutrition Examination Survey 2011-2020 data without diabetes, not on anti-hypertensive or statin medication, and who does not smoke). Second, we examined at which age a hypothetical individual would exceed the previously defined intermediate risk threshold ≥7.5% established by national guidelines. Lastly, we examined the differences in predicted risk with or without diabetes and/or Stage 3 CKD (defined as eGFR 44.5 mL/min/1.73m 2 ). Results: For hypothetical individuals aged 30-79 years with average risk factor levels, predicted 10-year CVD risk is shown in the figure for females (Panel A) and males (Panel B). The predicted risk would exceed the intermediate risk threshold at age 68 years if female and 63 years if male. If the individual had Stage 3 CKD, the predicted risk would exceed the intermediate risk threshold at 60 if female and 55 years if male. If the individual had diabetes, the predicted risk would exceed the intermediate risk threshold at 59 if female and 52 years if male. If both diabetes and Stage 3 CKD were present, the predicted risk would exceed the intermediate risk threshold at age 42 years if female and 35 years if male. Conclusions: The PREVENT equations enable more granular differentiation of risk among individuals with varying CKM profiles. Understanding risk estimates across the spectrum of age and CKM can support interpretability among clinicians and patients.

Correlation between weight-adjusted-waist index and hypertension in the US population: based on data from NHANES 2005–2018

ObjectivesThis study aimed to investigate the association between the weight-adjusted waist index (WWI) and the prevalence of hypertension in U.S. adults.MethodsData were sourced from the National Health and Nutrition Examination Survey (NHANES) spanning 2005–2018. In our cross-sectional study, we focused on the non-institutional U.S. population over the age of 18 from various communities in the United States. WWI is derived by dividing waist circumference by the square root of body weight. The definition of hypertension was based on self-reported history of hypertension, antihypertensive drug use, and blood pressure measurements. Participants without complete information on WWI and hypertension were excluded. The independent relationship and consistency between WWI and hypertension were assessed through weighted multivariate regression. The Pearson correlation test was used to detect the association between WWI and BMI. Subgroup analyses were used to verify the stability of the relationship between WWI and the prevalence of hypertension, and interaction tests were also conducted by gender, age, smoking, and triglycerides.ResultsAmong the 37,299 participants included, the hypertension prevalence was 33.9%. After adjusting for confounding variables, WWI demonstrated a significant association with hypertension. Individuals in the top quarter of WWI had a 2.27fold higher chance of hypertension prevalence compared with the bottom quarter (OR = 2.27, 95% CI 1.97–2.61; P &amp;lt; 0.0001). Subgroup analysis highlighted that this association was particularly pronounced in males aged ≤60 years.ConclusionThe findings underscore a robust correlation between elevated WWI and a heightened risk of hypertension, especially in males aged ≤60 years.

Abstract 4123373: Estimating obesity-attributable cardiovascular disease burden in the United States: a Bayesian network analysis

Background: Obesity is a known contributor to the development of cardiovascular disease (CVD) and increases the risk of subsequent mortality. To fully understand the burden of obesity, accurate information regarding its effects on CVD is necessary. Current estimates are limited by a focus on direct effects, use of non-representative data sources, and a reliance on inaccurate diagnosis codes. Aim: To determine the size of CVD burden attributable to obesity in the US and identify the mechanisms through which obesity affects CVD. Methods: This study used data collected from US adults (aged ≥35 years) participating in the National Health and Nutrition Examination Survey (NHANES) from 1999 to 2020 and US Census projections. NHANES data were longitudinally adapted, and participants were excluded if they had missing data for weight history, risk factors, or a given outcome of interest. Bayesian networks (BNs) mapping out the relationship between risk factors and each outcome were constructed to estimate current CVD risk and expected CVD risk in the absence of obesity. Obesity-attributable CVD burden was then calculated for each outcome, and the direct and indirect pathways through which changes in CVD risk occur were characterized. A subgroup analysis was conducted in non-smoking participants aged ≤65 years for whom obesity is likely the primary CVD risk factor. Results: The final sample included data from approximately 29,000 participants. Of these, 1286 (4.3%) had a history of myocardial infarction (MI), 1283 (4.4%) had a history of stroke, 1092 (3.7%) had a history of heart failure (HF), and 1992 (6.7%) had a history of CVD (composite of MI, stroke, angina, coronary heart disease, and HF). Results from the fitted BN indicate that 21% of MI, 16% of stroke, 38% of HF, and 19% of CVD cases were attributable to obesity, with ≥80% of this burden due to the effect of obesity on intermediate risk factors (hypertension, type 2 diabetes, and prior cardiovascular events). In the subgroup analysis, the obesity-attributable CVD burden was approximately twice as high for non-smokers aged ≤65 years, with 39% of MI, 32% of stroke, 65% of HF, and 38% of CVD cases attributable to obesity. Conclusion: Through a sophisticated network modeling approach, we generated estimates of obesity-attributable CVD burden in the US. Results highlight the importance of obesity as a CVD risk factor, particularly in younger non-smokers, and provide insight into the nature of this relationship.

Prognostic nutritional index and albuminuria in adults aged 20 years and above: a cross-sectional analysis in the United States

Background and objectiveAlbuminuria is an important early marker of kidney damage and progression of chronic kidney disease and is also linked to several chronic systemic diseases. The Prognostic Nutritional Index (PNI) is widely used in the assessment of multiple diseases. However, research dealing with the relationship between PNI and albuminuria remains scarce. This research project aims to examine this association.Methods and materialsThe present study employed data from the National Health and Nutrition Examination Survey (NHANES) between 2017 and 2020, including 7,737 adult participants who met the study criteria. PNI was analyzed as a quartile-categorized variable. Multivariable regression models and smoothing curve fitting were adopted to examine the relationship between PNI and albuminuria. In order to ascertain the stability of the association across different populations, subgroup analyses were performed.ResultsThe study found a statistically significant inverse relationship between higher PNI levels and the prevalence of albuminuria. The fully adjusted model indicates that a one-unit increase in PNI is associated with a 4% reduced odds of albuminuria prevalence [0.96 (0.93, 0.98)]. Quartile analysis showed a stable inverse relationship, with the highest PNI quartile having the significantly lower odds of albuminuria prevalence [0.76 (0.62, 0.94), p for trend = 0.0004]. Smooth curve fitting and two-piecewise linear regression models indicated a nonlinear relationship between PNI and albuminuria, with a turning point at 42. Subgroup analysis confirmed the reliability of the inverse relationship between PNI and albuminuria across all groups.ConclusionThe findings of this study indicated that higher PNI levels are significantly inversely related to the odds prevalence of albuminuria. PNI could serve as an important predictor for the occurrence of albuminuria. Further prospective studies are needed to validate this association.

Abstract 4112876: Sex Differences in the Relationship Between Self-reporting of Snoring and Cardiovascular Risk

Background: Identifying risk factors for CVD is critical for effective prevention and management. While classic CVD risk factors have been extensively studied, there is a scarcity of research on the association between snoring and CVD risk, particularly in the context of gender differences. Methods: This study utilized data from the National Health and Nutrition Examination Survey (NHANES) conducted between 2015 and 2020. Participants were initially categorized based on the severity of snoring or the presence of snoring. Logistic regression analysis was employed to control for potential confounding variables. Within the snoring group, they were further classified by gender. The utilization of propensity score matching and logistic regression analysis ensured comparability between different genders. Results: Our study included 12,681 participants aged 18 years or older. When compared to the non-snoring group, individuals in the moderate snoring group had a higher odds ratio (OR) of 1.418 (95% CI 1.083 to 1.857, p = 0.011), while those in the severe snoring group had a higher odds ratio (OR) of 1.882 (95% CI 1.468 to 2.409, p &lt; 0.001). In the snoring group, individuals were further categorized by gender: 4527 males and 4131 females. Importantly, male patients showed a higher odds ratio for atrial fibrillation (4.945, 95% CI 1.187 to 20.598, p = 0.028) compared to females. Additionally, male patients had a higher odds ratio for coronary heart disease (2.002, 95% CI 1.152 to 3.479, p = 0.014) compared to females. Conclusion: Sex plays a significant role in the relationship between snoring and CVD risk. males with snoring have a higher risk of developing CVD compared to females. In particular, male snorers are nearly five times more likely to develop atrial fibrillation and about twice as likely to experience coronary artery disease in comparison to female snorers.

Exploring the relationship of sleep duration on cognitive function among the elderly: a combined NHANES 2011-2014 and mendelian randomization analysis.

As one of the key features of sleep, sleep duration (SD) has been confirmed to be associated with multiple health outcomes. However, the link between SD and cognitive function (CF) is still not well understood. We employed a combined approach utilizing data from the National Health and Nutrition Examination Survey (NHANES 2011-2014) and Mendelian Randomization (MR) methods to investigate the relationship between SD and CF. In the NHANES cross-sectional analysis, the association between these variables was primarily examined through multivariate linear regression to explore direct correlations and utilized smoothing curve fitting to assess potential nonlinear relationships. To ensure the robustness of our findings, subgroup analyses were also conducted. MR analysis was used to assess the causal relationship between SD and sleeplessness on CF. After excluding confounding factors, univariate and multivariate MR were performed using inverse variance weighting (IVW) as the main analysis method, and sensitivity analysis was performed. The results of our cross-sectional study indicate a notable negative association between SD and CF, forming an inverted U-shaped curve with the inflection point occurring at SD = 6h. This relationship remains consistent and robust across subgroup analyses differentiated by variables such as age, levels of physical activity, and frequency of alcohol intake. In MR analysis, IVW analysis showed no causal relationship between SD and sleeplessness on CF (Both P > 0.05). Cross-sectional studies suggest the existence of an inverted U-shaped correlation between SD and CF among the elderly. However, MR analysis did not reveal a causal relationship between SD and CF, which the lack of nonlinear MR analysis may limit. These findings provide evidence from a sleep perspective for optimizing cognitive strategies in older adults.

Abstract 4137914: Eligibility for Semaglutide in US Adults with Diabetes and Potentially Preventable Cardiovascular Events Projected from the SUSTAIN-6 Trial

Background: The Trial to Evaluate Cardiovascular and Other Long-term Outcomes with Semaglutide in Subjects with Type 2 Diabetes (SUSTAIN-6) trial showed cardiovascular disease (CVD) benefits of semaglutide therapy in patients with type 2 diabetes mellitus (T2DM). Purpose: To estimate the number of US adults with T2DM that may be eligible for semaglutide based on SUSTAIN-6 eligibility criteria and the number of preventable CVD events from semaglutide treatment based on observed CVD event reductions in SUSTAIN-6. Methods: We included US adults with T2DM from the National Health and Nutrition Examination Survey (NHANES) 2011– 2020 who had eligibility criteria from SUSTAIN-6. This included an HbA1c&gt;7.0%, age &gt; 50 with established CVD, heart failure, or chronic kidney disease or an age &gt; 60 with at least one CVD risk factor. We estimated the number of primary composite and secondary CVD endpoints that would occur based on SUSTAIN-6 treated and placebo published event rates, with the difference indicating the number of preventable events (and annualized based on median 2.1 year follow-up time). Results: Among 5002 (projected to 34.0 million [M]) adults we identified with T2DM, we estimated 1,132 (6.9 million) (20.3%) to fit SUSTAIN-6 eligibility criteria. Compared to SUSTAIN-6 trial participants, our sample was slightly older, had a higher proportion of Black participants, shorter duration of diabetes, lower HbA1c and diastolic blood pressure, but similar body mass index and systolic blood pressure. Prior history of ischemic heart disease, myocardial infarction, and stroke were also less common in our NHANES sample. From SUSTAIN-6 semaglutide and placebo primary composite CVD event rates of 6.6% and 8.9%, respectively, we estimated 456,060 and 614,990 events would occur, respectively, for a total of 159,930 preventable CVD events, or 75,681 on an annualized basis. We similarly estimated annualized preventable events for secondary outcomes as shown in the Figure. Conclusion: Semaglutide may prevent many fatal and non-fatal CVD events if provided to US adults meeting SUSTAIN-6 eligibility criteria. More efforts are needed to educate the healthcare providers on the CVD benefits from newer diabetes therapies, including semaglutide.