The Effects of Metal Exposures on Charlson Comorbidity Index Using Zero-Inflated Negative Binomial Regression Model: NHANES 2011-2016

Association of naples prognostic score and lung health: A population-based study

BACKGROUND

The Naples Prognostic Score (NPS) is a novel indicator of inflammatory and nutritional status, but its relationship to lung health is unknown.

OBJECTIVE

To evaluate the relationship of NPS to lung health problems.

METHODS

A total of 15,600 participants aged 20 years or older with an available assessment of chronic lung diseases were enrolled from the National Health and Nutrition Examination Survey 2007-2012. The NPS was calculated based on serum albumin, total cholesterol, neutrophil-to-lymphocyte ratio, and lymphocyte-to-monocyte ratio. Associations of NPS with chronic lung disease (diagnosed asthma, chronic bronchitis, and emphysema), respiratory symptoms (cough, phlegm production, wheeze, and exertional dyspnea), and spirometric measurements (FEV1, FVC, and obstructive or restrictive spirometry pattern) were evaluated. Kaplan-Meier survival analysis and multiple Cox regressions were used to assess the significance of NPS in relation to all-cause mortality and chronic lower respiratory diseases mortality in participants. Furthermore, to comprehensively assess the association between NSP and chronic lower respiratory diseases mortality, Fine-Gray subdistribution hazards model was performed to analyze non-chronic lower respiratory diseases mortality as a competitive risk.

RESULTS

People with a higher NPS score were associated with greater odds of asthma, chronic bronchitis, respiratory symptoms (including phlegm production, wheeze, and exertional dyspnea), and a greater risk of obstructive and restrictive spirometry. A higher NPS score was significantly associated with decreased FEV1 and FVC in both overall participants and those with lung health problems. Longitudinally, we found that those in the category with highest NPS were at greater risk of all-cause mortality and chronic lower respiratory diseases mortality in those with chronic lung disease, and respiratory symptoms.

CONCLUSIONS

An elevated NPS is associated with a host of adverse pulmonary outcomes. Prospective studies to define NPS as a biomarker for impaired lung health are warranted.

Deciphering the environmental chemical basis of muscle quality decline by interpretable machine learning models

BACKGROUND

Sarcopenia is known as a decline in skeletal muscle quality and function that is associated with age. Sarcopenia is linked to diverse health problems, including endocrine-related diseases. Environmental chemicals (ECs), a broad class of chemicals released from industry, may influence muscle quality decline.

OBJECTIVES

In this work, we aimed to simultaneously elucidate the associations between muscle quality decline and diverse EC exposures based on the data from the 2011-2012 and 2013-2014 survey cycles in the National Health and Nutrition Examination Survey (NHANES) project using machine learning models.

METHODS

Six machine learning models were trained based on the EC and non-EC exposures from NHANES to distinguish low from normal muscle quality index status. Different machine learning metrics were evaluated for these models. The Shapley additive explanations (SHAP) approach was used to provide explainability for machine learning models.

RESULTS

Random forest (RF) performed best on the independent testing data set. Based on the testing data set, ECs can independently predict the binary muscle quality status with good performance by RF (area under the receiver operating characteristic curve = 0.793; area under the precision-recall curve = 0.808). The SHAP ranked the importance of ECs for the RF model. As a result, several metals and chemicals in urine, including 3-phenoxybenzoic acid and cobalt, were more associated with the muscle quality decline.

CONCLUSIONS

Altogether, our analyses suggest that ECs can independently predict muscle quality decline with a good performance by RF, and the SHAP-identified ECs can be closely related to muscle quality decline and sarcopenia. Our analyses may provide valuable insights into ECs that may be the important basis of sarcopenia and endocrine-related diseases in United States populations.

Dietary patterns among U.S. food insecure cancer survivors and the risk of mortality: NHANES 1999-2018

PURPOSE

Food insecurity-the lack of unabated access to nutritious foods-is a consequence many cancer survivors face. Food insecurity is associated with adverse health outcomes and lower diet quality in the general public. The goal of this analysis was to extract major and prevailing dietary patterns among food insecure cancer survivors from observed 24-h recall data and evaluate their relationship to survival after a cancer diagnosis.

METHODS

We implemented two dietary patterns analysis approaches: penalized logistic regression and principal components analysis. Using nationally representative data from the National Health and Nutrition Examination Survey (NHANES) study, we extracted three dietary patterns. Additionally, we evaluated the HEI-2015 for comparison. Cox proportional hazards models assessed the relationship between the diet quality indices and survival after a cancer diagnosis.

RESULTS

There were 981 deaths from all causes and 343 cancer-related deaths. After multivariable adjustment, we found higher risks of all-cause mortality associated with higher adherence to Pattern #1 (HR 1.25; 95% CI 1.09-1.43) and Pattern #2 (HR 1.15; 95% CI 1.01-1.31) among cancer survivors.

CONCLUSION

Among all cancer survivors, higher adherence to major and prevailing dietary patterns from the U.S. food insecure cancer survivor population may lead to worse survival outcomes.

Association between serum neurofilament light chain and periodontitis

OBJECTIVES

The association between serum neurofilament light chain (sNfL) and periodontitis remains unclear, and there is a need to examine the contribution of serum albumin (SA) in this association. The objective of the study is to investigate the correlation between sNfLand periodontitis, while examining the potential mediator role of SA in this association.

METHODS

The study, which included 1218 participants from the 2013-2014 National Health and Nutrition Examination Survey (NHANES), aimed to evaluate the association between sNfL and periodontitis through weighted multivariable logistic regression analysis, restricted cubic spline (RCS) models, and stratified models. In addition, mediation analysis was used to investigate the role of SA in mediating this association.

RESULTS

The multivariable logistic regression models revealed that sNfL was significantly linked to periodontitis (model 1: odds ratio [OR], 3.08, 95% confidence interval [CI], 1.48 to 6.39, model 2: OR, 3.69; 95% CI, 1.73 to 7.90, model 3: OR, 3.58, 95% CI, 1.52 to 8.43). The RCS models suggested a linear relationship between sNfL and periodontitis. The stratified analysis revealed no significant moderating effects (p-value > 0.05). The mediation analysis demonstrated that SA mediated the correlation between sNfL and periodontitis, with a mediation proportion of 10.62%.

CONCLUSIONS

The results point to sNfL being a factor in the heightened risk of periodontitis. Additionally, SA may mediate the changes in periodontitis that are associated with sNfL.

CLINICAL RELEVANCE

sNfL may contribute to the development of periodontitis by mediating changes in SA in humans.

Racial and ethnic differences in uncontrolled diabetes mellitus among adults taking antidiabetic medication

AIM

To examine whether racial and ethnic disparities in uncontrolled type 2 diabetes mellitus (T2DM) persist among those taking medication and after accounting for other demographic, socioeconomic, and health indicators.

METHODS

Adults aged ≥20 years with T2DM using prescription diabetes medication were among participants assessed in a retrospective cohort study of the National Health and Nutrition Examination Survey 2007-2018. We estimated weighted sequential multivariable logistic regression models to predict odds of uncontrolled T2DM (HbA1c ≥ 8%) from racial and ethnic identity, adjusting for demographic, socioeconomic, and health indicators.

RESULTS

Of 3649 individuals with T2DM who reported taking medication, 27.4% had uncontrolled T2DM (mean HgA1c 9.6%). Those with uncontrolled diabetes had a mean BMI of 33.8, age of 57.3, and most were non-Hispanic white (54%), followed by 17% non-Hispanic Black, and 20% Hispanic identity. In multivariable analyses, odds of uncontrolled T2DM among those with Black or Hispanic identities lessened, but persisted, after accounting for other indicators (Black OR 1.38, 97.5% CI: 1.04, 1.83; Hispanic OR 1.79, 97.5% CI 1.25, 2.57).

CONCLUSIONS

Racial and ethnic disparities in T2DM control persisted among individuals taking medication. Future research might focus on developmental and epigenetic pathways of disparate T2DM control across racially and ethnically minoritized populations.

Heterogeneity of aging and mortality risk among individuals with hypertension: Insights from phenotypic age and phenotypic age acceleration

OBJECTIVES

Hypertension, a key contributor to mortality, is impacted by biological aging. We investigated the relationship between novel biological aging metrics - Phenotypic Age (PA) and Phenotypic Age Acceleration (PAA) - and mortality in individuals with hypertension, exploring the mediating effects of arterial stiffness (estimated Pulse Wave Velocity, ePWV), and Heart/Vascular Age (HVA).

METHODS

Using data from 62,160 National Health and Nutrition Examination Survey (NHANES) participants (1999-2010), we selected 4,228 individuals with hypertension and computed PA, PAA, HVA, and ePWV. Weighted, multivariable Cox regression analysis yielded Hazard Ratios (HRs) relating PA, PAA to mortality, and mediation roles of ePWV, PAA, HVA were evaluated. Mendelian randomization (MR) analysis was employed to investigate causality between genetically inferred PAA and hypertension.

RESULTS

Over a 12-year median follow-up, PA and PAA were tied to increased mortality risks in individuals with hypertension. All-cause mortality hazard ratios per 10-year PA and PAA increments were 1.96 (95% CI, 1.81-2.11) and 1.67 (95% CI, 1.52-1.85), respectively. Cardiovascular mortality HRs were 2.32 (95% CI, 1.97-2.73) and 1.93 (95% CI, 1.65-2.26) for PA and PAA, respectively. ePWV, PAA, and HVA mediated 42%, 30.3%, and 6.9% of PA's impact on mortality, respectively. Mendelian randomization highlighted a causal link between PAA genetics and hypertension (OR = 1.002; 95% CI, 1.000-1.003).

CONCLUSION

PA and PAA, enhancing cardiovascular risk scores by integrating diverse biomarkers, offer vital insights for aging and mortality evaluation in individuals with hypertension, suggesting avenues for intensified aging mitigation and cardiovascular issue prevention. Validations in varied populations and explorations of underlying mechanisms are warranted.

Estimated Pulse Wave Velocity Predicts All-Cause and Cardiovascular-Cause Mortality in Individuals With Hypertension - Findings From a National Health and Nutrition Examination Study 1999-2018

BACKGROUND

This study aimed to investigate the association between estimated pulse wave velocity (ePWV) and mortality outcomes among individuals with hypertension.

METHODS AND RESULTS

Based on the National Health and Nutrition Examination Survey (NHANES) 1999-2018, a total of 14,396 eligible participants with hypertension were enrolled. The ePWV was calculated using the equation based on blood pressure and age. The mortality outcomes of included participants were directly acquired from the National Death Index database. The multivariable Cox regression analysis was used to examine the relationship between ePWV and mortality outcomes. Moreover, the restricted cubic spline (RCS) was also used to explore this relationship. Receiver operating characteristics curves (ROC) were adopted to evaluate the prognostic ability of ePWV for predicting mortality outcomes of patients with hypertension. The median follow-up duration was 10.8 years; individuals with higher an ePWV had higher risks of mortality from both all causes (HR: 2.79, 95% CI: 2.43-3.20) and cardiovascular diseases (HR: 3.41, 95% CI: 2.50-4.64). After adjusting for confounding factors, each 1 m/s increase in ePWV was associated with a 43% increase in all-cause mortality risk (HR: 1.43, 95% CI: 1.37-1.48) and a 54% increase in cardiovascular mortality risk (HR: 1.54, 95% CI: 1.43-1.66).

CONCLUSIONS

This study indicates that ePWV is a novel prognostic indicator for predicting the risks of mortality among patients with hypertension.

Application of marginalized zero-inflated models when mediators have excess zeroes

Mediation analysis has become increasingly popular over the last decade as researchers are interested in assessing mechanistic pathways for intervention. Although available methods have increased, there are still limited options for mediation analysis with zero-inflated count variables where the distribution of response has a "cluster" of data at the zero value (i.e. distribution of number of cigarettes smoked per day, where nonsmokers cluster at zero cigarettes). The currently available methods do not obtain unbiased population average effects of mediation effects. In this paper, we propose an extension of the counterfactual approach to mediation with direct and indirect effects to scenarios where the mediator is a count variable with excess zeroes by utilizing the Marginalized Zero-Inflated Poisson Model (MZIP) for the mediator model. We derive direct and indirect effects for continuous, binary, and count outcomes, as well as adapt to allow mediator-exposure interactions. Our proposed work allows straightforward calculation of direct and indirect effects for the overall population mean values of the mediator, for scenarios in which researchers are interested in generalizing direct and indirect effects to the population. We apply this novel methodology to an application observing how alcohol consumption may explain sex differences in cholesterol and assess model performance via a simulation study comparing the proposed MZIP mediator framework to existing methods for marginal mediator effects.

Association between dental visit behavior and mortality: a nationwide longitudinal cohort study from NHANES

OBJECTIVES

The benefits of professional dental treatment for oral diseases have been widely investigated. However, it is unclear whether professional dental treatment provides additional benefits for improving general health.

MATERIALS AND METHODS

Data were obtained from the US National Health and Nutrition Examination Survey (NHANES) 1999 to 2004 and 2011 to 2018 cycles. A total of 36,174 participants were included and followed-up for mortality until December 31, 2019. Dental visit behavior was defined as the time interval of last dental visit (TIDV, < 0.5 year, 0.5-1 year, 1-2 years, 2-5 years, and > 5 years) and the main reasons of the last dental visit (treatment, examination, and other reasons). The Cox proportional risk model was used to estimate the hazard ratio (HR) and 95% confidence interval (CI).

RESULTS

Compared with participants with time interval of less than 0.5 year, the multivariate-adjusted HRs and 95%CI for participants with time interval of more than 5 years were 1.45 (1.31, 1.61) for all-cause mortality (P trend < 0.0001), 1.49 (1.23, 1.80) for cardiovascular diseases mortality (P trend = 0.0009) and 1.53 (1.29, 1.81) for cancer mortality (P trend = 0.013). Compared with dental visit for examination, participants who had their dental visit for treatment had higher risk for mortality. For participants with dental visit for examination, TIDV of less than 1 year showed lower risk for mortality, whereas TIDV of less than 0.5 year is recommend for population with dental visit for treatment.

CONCLUSIONS

Poor dental visit behavior is associated with an increased risk of mortality. Further well-designed studies are needed to confirm the association between professional dental visit and mortality.

CLINICAL RELEVANCE

This study highlights the potential benefits of regular dental visits in maintaining general health.

Associations of telomere length with risk of mortality from influenza and pneumonia in US adults: a prospective cohort study of NHANES 1999-2002

BACKGROUND

Due to the ongoing Coronavirus disease 2019 (COVID-19) pandemic, interest has arisen to realize the relationship between telomere length (TL) and influenza and pneumonia mortality.

AIM

Our study attempted to investigate this correlation by analyzing information gathered from the National Health and Nutrition Examination Survey (NHANES) 1999-2002.

METHODS

A total of 7229 participants were involved in the conducted research. We utilized Cox proportional risk model analysis to determine the hazard ratio (HR) and 95% confidence interval (CI) for TL and influenza and pneumonia mortality.

RESULTS

During the average follow-up time of 204.10 ± 51.26 months, 33 (0.45%) participants died from influenza and pneumonia. After adjusting for multiple variables, shorter TL was associated with higher influenza-pneumonia mortality. In subgroup analyses stratified by sex, men exhibited stronger associations with influenza-pneumonia mortality than women (Model 1: HRmale: 0.014 vs HRfemale: 0.054; Model 2: HRmale: 0.082 vs HRfemale: 0.890; Model 3: HRmale: 0.072 vs HRfemale: 0.776). For subgroup analyses by visceral adiposity index (VAI), all statistically significant (P < 0.05) models displayed an inverse relationship between TL and influenza and pneumonia mortality.

CONCLUSIONS

Our research provides further proof for the connection between shorter telomeres and higher influenza-pneumonia mortality. Larger prospective researches are essential to support our results and explain the underlying mechanisms.

Estimated pulse wave velocity is associated with all-cause mortality and cardiovascular mortality among adults with diabetes

Aims

We aim to examine the association of estimated pulse wave velocity (ePWV) with all-cause and cardiovascular mortality in patients with diabetes.

Methods

All of adult participants with diabetes from the National Health and Nutrition Examination Survey (NHANES) (1999-2018) were enrolled. ePWV was calculated according to the previously published equation based on age and mean blood pressure. The mortality information was obtained from the National Death Index database. Weighted Kaplan-Meier (KM) plot and weighted multivariable Cox regression was used to investigate the association of ePWV with all-cause and cardiovascular mortality risks. Restricted cubic spline was adopted to visualize the relationship between ePWV and mortality risks.

Results

8,916 participants with diabetes were included in this study and the median follow-up duration was ten years. The mean age of study population was 59.0 ± 11.6 years, 51.3% of the participants were male, representing 27.4 million patients with diabetes in weighted analysis. The increment of ePWV was closely associated with increased risks of all-cause mortality (HR: 1.46, 95% CI: 1.42-1.51) and cardiovascular mortality (HR: 1.59, 95% CI: 1.50-1.68). After adjusting for cofounding factors, for every 1 m/s increase in ePWV, there was a 43% increased risk of all-cause mortality (HR: 1.43, 95% CI: 1.38-1.47) and 58% increased of cardiovascular mortality (HR: 1.58, 95% CI: 1.50-1.68). ePWV had positive linear associations with all-cause and cardiovascular mortality. KM plots also showed that the risks of all-cause and cardiovascular mortality were significantly elevated in patients with higher ePWV.

Conclusions

ePWV had a close association with all-cause and cardiovascular mortality risks in patients with diabetes.

Nocturnal sleep duration and bone mineral density: a cross-sectional study of the National Health and Nutrition Examination Survey (NHANES) 2007-2014

BACKGROUND

This study aimed to investigate the association between sleep duration and bone mineral density (BMD) and determine whether vitamin D (VD) status influenced the association between sleep duration and BMD.

METHODS

National Health and Nutrition Examination Survey 2007-2014 participants aged ≥ 40 years were included in this study. BMD testing was conducted with dual-energy X-ray absorptiometry examinations. Moreover, all individuals were divided into four groups according to self-reported nocturnal sleep duration (7-8 h; 6 h; < 6 h; and > 8 h). In addition, the differences in BMD between the normal sleep duration group and other groups were calculated using multiple linear regression models.

RESULTS

Overall, the median age of the overall study population was 55.00 years old, with 46.97% of men distributed. Participants sleeping > 8 h/night had lower BMDs than those sleeping 7-8 h/night. Moreover, the association between unhealthy sleep duration (especially > 8 h/night) and low BMD was more pronounced in older individuals, men, postmenopausal women, and subjects with inadequate VD intakes (< 15.00 µg/day) or deficient/insufficient serum 25-hydroxyvitamin D (< 75.00 nmol/L).

CONCLUSIONS

In conclusion, unhealthy sleep duration, especially long sleep duration, was associated with decreased BMD, particularly among individuals aged > 60 years, men, or postmenopausal women. Moreover, VD status might influence the association between sleep duration and BMD, especially in the context of inadequate VD intake or deficient/insufficient serum 25-hydroxyvitamin D levels. However, given the limitations of the present study, further investigation is warranted to confirm this association and to explore potential mechanisms.

Empirical Dietary Patterns Associated with Food Insecurity in U.S. Cancer Survivors: NHANES 1999-2018

(1) Background: Food insecurity (FI) is a public health and sociodemographic phenomenon that besets many cancer survivors in the United States. FI in cancer survivors may arise as a consequence of financial toxicity stemming from treatment costs, physical impairment, labor force egress, or a combination of those factors. To our knowledge, an understanding of the dietary intake practices of this population has not been delineated but is imperative for addressing the needs of this vulnerable population; (2) Methods: Using data from NHANES, 1999-2018, we characterized major dietary patterns in the food insecure cancer survivor population using: i. penalized logistic regression (logit) and ii. principal components analysis (PCA). We validated these patterns by examining the association of those patterns with food insecurity in the cancer population; (3) Results: Four dietary patterns were extracted with penalized logit and two with PCA. In the pattern validation phase, we found several patterns exhibited strong associations with FI. The FI, SNAP, and Household Size patterns (all extracted with penalized logit) harbored the strongest associations and there was evidence of stronger associations in those moderately removed from a cancer diagnosis (≥2 and <6 years since diagnosis); (4) Conclusions: FI may play an influential role on the dietary intake patterns of cancer survivors in the U.S. The results highlight the relevance of FI screening and monitoring for cancer survivors.

Analysis of zero inflated dichotomous variables from a Bayesian perspective: application to occupational health

BACKGROUND

Zero-inflated models are generally aimed to addressing the problem that arises from having two different sources that generate the zero values observed in a distribution. In practice, this is due to the fact that the population studied actually consists of two subpopulations: one in which the value zero is by default (structural zero) and the other is circumstantial (sample zero).

METHODS

This work proposes a new methodology to fit zero inflated Bernoulli data from a Bayesian approach, able to distinguish between two potential sources of zeros (structural and non-structural).

RESULTS

The proposed methodology performance has been evaluated through a comprehensive simulation study, and it has been compiled as an R package freely available to the community. Its usage is illustrated by means of a real example from the field of occupational health as the phenomenon of sickness presenteeism, in which it is reasonable to think that some individuals will never be at risk of suffering it because they have not been sick in the period of study (structural zeros). Without separating structural and non-structural zeros one would be studying jointly the general health status and the presenteeism itself, and therefore obtaining potentially biased estimates as the phenomenon is being implicitly underestimated by diluting it into the general health status.

CONCLUSIONS

The proposed methodology is able to distinguish two different sources of zeros (structural and non-structural) from dichotomous data with or without covariates in a Bayesian framework, and has been made available to any interested researcher in the form of the bayesZIB R package ( https://cran.r-project.org/package=bayesZIB ).