UNASSIGNED: Uncontrolled hypertension is a major contributor to cardiovascular disease (CVD) in the US.
UNASSIGNED: To determine the prevalence of hypertension control cascade outcomes (hypertension awareness, treatment recommendations, and medication use) among individuals with uncontrolled hypertension to inform action across cascade levels.
UNASSIGNED: This weighted cross-sectional study used January 2017 to March 2020 National Health and Nutrition Examination Survey (NHANES) data from noninstitutionalized adults aged 18 years or older in the US with uncontrolled hypertension. Data analysis occurred from January to February 2024.
UNASSIGNED: Calendar year of response to the NHANES survey.
UNASSIGNED: Mean blood pressure (BP) was computed using up to 3 measurements. Uncontrolled hypertension was defined as systolic BP of 130 mm Hg or greater or diastolic BP of 80 mm Hg or greater, regardless of medication use. Outcomes included patient awareness of hypertension, treatment recommendations, and medication use. To estimate population totals by subgroup, the age-standardized proportion of each outcome was multiplied by the estimated number of adults with uncontrolled hypertension.
UNASSIGNED: The study included 3129 US adults with uncontrolled hypertension (1675 male [weighted percentage, 52.3%]; 775 aged 18 to 44 years [weighted percentage, 29.4%]; 1306 aged 45 to 64 years [weighted percentage, 41.4%]; 1048 aged 65 years or older [weighted percentage, 29.2%]), resulting in a population estimate of 100.4 million adults (weighted percentage, 83.7%) with uncontrolled hypertension. More than one-half of study participants (57.8 million adults [weighted percentage, 57.6%]) were unaware that they had hypertension, and of the 35.0 million who were aware and met criteria for antihypertensive medication, 24.8 million (weighted percentage, 70.8%) took the medication but had hypertension that remained uncontrolled. These negative outcomes in the hypertension control cascade occurred across demographic groups, with notably high prevalence among younger adults and individuals engaged in health care. Among an estimated 30.1 million adults aged 18 to 44 years with hypertension, 10.4 of 11.3 million females (weighted percentage, 91.8%) and 17.7 million of 18.8 million males (weighted percentage, 94.3%) had uncontrolled hypertension. Of the 10.4 million females, 7.2 million (weighted percentage, 68.8%) were unaware of their hypertension status, and of the 17.7 million males, 12.0 million (weighted percentage, 68.1%) were unaware. Additionally, 9.9 of 13.0 million adults with uncontrolled hypertension (weighted percentage, 75.7%) reported no health care visits in the past year and were unaware. Conversely, among 70.6 million adults with uncontrolled hypertension reporting 2 or more health care visits, approximately one-half (36.6 million [weighted percentage, 51.8%]) were unaware.
UNASSIGNED: In this cross-sectional study, more than 50% of adults with uncontrolled hypertension in the US were unaware of their hypertension and were untreated, and 70.8% of those who were treated had hypertension that remained uncontrolled. These findings have serious implications for the nation\'s overall health given the association of hypertension with increased risk for CVD.

Sexual dysfunction, particularly in females, is a complex issue influenced by various factors, including depression and inflammation. The Systemic immune-inflammation index (SII), an inflammatory biomarker, has shown associations with different health conditions, but its relationship with female sexual dysfunction (FSD) remains unclear. This study aimed to investigate the association between SII and FSD in the context of depression, utilizing low sexual frequency as an assessment indicator. Data from the National Health and Nutrition Examination Survey (NHANES) 2005 to 2016, involving 1042 depressed female participants, were analyzed. FSD, indicated by low sexual frequency, and SII, derived from complete blood count results, were assessed. Logistic regression and subgroup analyses were conducted, considering demographic and health-related factors. A total of 1042 individuals were included in our analysis; 11.5163% of participants were categorized as having FSD, which decreased with the higher SII tertiles (tertile 1, 13.8329%; tertile 2, 13.5447%; tertile 3, 7.1839%; p for trend < 0.0001). Multivariate linear regression analysis showed a significant negative association between SII and FSD [0.9993 (0.9987, 0.9999)]. This negative association in a subgroup analysis is distinctly and significantly present in the Mexican American subgroup [0.9959 (0.9923, 0.9996)], while it does not reach statistical significance in other racial categories. Furthermore, the association between SII and FSD was nonlinear; using a 2-segment linear regression model, we found a U-shaped relationship between SII and FSD with an inflection point of 2100 (1000 cells/µL). In summary, in depressed individuals, a higher SII is independently associated with a decreased likelihood of FSD, emphasizing the potential role of inflammation in female sexual health.

BACKGROUND: The correlation between the triglyceride-glucose (TyG) index and mortality in the general population remains controversial, with inconsistent conclusions emerging from different studies.
OBJECTIVE: This study aims to investigate whether there is an association between the TyG index and mortality in the general population in the United States, and to explore whether a new index combining the TyG index with systemic inflammation indicators can better predict all-cause and cardiovascular mortality risks in the general population than using the TyG index alone.
METHODS: Calculate the systemic inflammation indicators and TyG index for each participant based on their complete blood count, as well as their triglyceride and glucose levels in a fasting state. TyG-inflammation indices were obtained by multiplying the TyG index with systemic inflammation indicators (TyG-NLR, TyG-MLR, TyG-lgPLR, TyG-lgSII, and TyG-SIRI). Based on the weighted Cox proportional hazards model, assess whether the TyG and TyG-Inflammation indices are associated with mortality risk in the general population. Restricted cubic splines (RCS) are used to clarify the dose-response relationship between the TyG and TyG-Inflammation indices and mortality, and to visualize the results. Time-dependent receiver operating characteristic (ROC) curves are used to evaluate the accuracy of the TyG and TyG-Inflammation indices in predicting adverse outcomes.
RESULTS: This study included 17,118 participants. Over a median follow-up period of 125 months, 2595 patients died. The TyG index was not found to be related to mortality after adjusting for potentially confounding factors. However, the TyG-inflammation indices in the highest quartile (Q4), except for TyG-lgPLR, were significantly associated with both all-cause and cardiovascular mortality, compared to those in the lowest quartile (Q1). Among them, TyG-MLR and TyG-lgSII showed the strongest correlations with all-cause mortality and cardiovascular mortality. Specifically, compared to their respective lowest quartiles (Q1), participants in the highest quartile (Q4) of TyG-MLR had a 48% increased risk of all-cause mortality (95% CI: 1.23-1.77, P for trend < 0.0001), while participants in the highest quartile (Q4) of TyG-lgSII had a 92% increased risk of cardiovascular mortality (95% CI: 1.31-2.81, P for trend < 0.001). Time-dependent ROC curve analysis showed that the TyG-MLR had the highest accuracy in predicting long-term mortality outcomes.
CONCLUSIONS: The TyG-Inflammation indices constructed based on TyG and systemic inflammation indicators are closely related to mortality in the general population and can better predict the risk of adverse outcomes. However, no association between TyG and mortality in the general population was found.

BACKGROUND: In the past, there has been a clear conclusion regarding the sole impact of serum neurofilament light chain (sNfL) levels or type 2 diabetes mellitus (DM) on the risk of death. However, the combined effect of sNfL levels and type 2 DM on all-cause and cardiovascular mortality is still uncertain.
METHODS: This study was a prospective cohort study based on data from the National Health and Nutrition Examination Survey (NHANES). The sNfL levels were measured through immunological methods using blood samples collected during the survey. The diagnosis of diabetes was based on rigorous criteria, and participants\' mortality data were followed up until December 31, 2019. Firstly, we separately examined the effects of sNfL and type 2 DM on all-cause and cardiovascular mortality, and finally studied the comprehensive impact of the combination of sNfL and type 2 DM on the risk of mortality. Cumulative Kaplan-Meier curves, multivariate logistic regression and sensitivity analysis were incorporated throughout the entire study.
RESULTS: Participants in the highest quartile of sNfL were observed. Multivariable COX regression model showed that increased sNfL levels and type 2 DM were respectively associated with an increased risk of all-cause and cardiovascular mortality. Furthermore, elevated sNfL levels were significantly associated with an increased risk of all-cause mortality and cardiovascular mortality after adjustment for confounding factors. When considering both elevated sNfL levels and type 2 DM, individuals had a significantly increased risk of mortality. Sensitivity analysis confirmed the robustness of the findings.
CONCLUSIONS: These results suggest that elevated levels of sNfL and type 2 DM are associated with an increased risk of all-cause and cardiovascular mortality, and that participants with increased sNfL levels associated with type 2 DM have higher all-cause mortality and cardiovascular mortality.

BACKGROUND: The triglyceride-glucose (TyG) index is recognized as a robust indicator for evaluating insulin resistance (IR). Despite the well-documented anti-aging biological functions of Klotho protein, its correlation with the TyG index remains unexplored.
METHODS: A cross-sectional analysis was conducted involving participants from the National Health and Nutrition Examination Surveys (NHANES) 2007-2016. The TyG index was computed using laboratory data, while serum Klotho concentrations was determined using ELISA kit. After adjusting potential confounding variables, multivariate regression models were employed to evaluate the association between the TyG index and Klotho protein levels among middle-aged and elderly females and males separately. Additionally, smooth curve fitting and segmented regression model were applied to investigate potential threshold effects and identify the inflection point.
RESULTS: A total of 6,573 adults qualified for inclusion, comprising 3,147 (47.88%) males and 3,426 (52.12%) females. Multivariate regression analysis revealed that females with a higher TyG index exhibited significantly lower serum Klotho concentrations (β=-83.41, 95% CI: -124.23 to -42.60, P < 0.0001). This association was not statistically significant in males (β = 15.40, 95% CI: -19.16 to 49.95, P = 0.3827). Subgroup analyses revealed a significant interaction effect by diabetes status in females (P-interaction = 0.0121), where non-diabetic females showed a stronger negative association between TyG index and serum Klotho levels compared to diabetic females. In the female group, when TyG index was divided into quartiles, individuals in the highest quartile of TyG index exhibited reduced levels of Klotho protein (Q4: -88.77 pg/ml) compared to those in the lowest quartile (Q1) after full adjustment (P = 0.0041). Segmented regression analysis indicated a turning point value of 9.4 in females. Notably, a 1-unit increase in TyG index was significantly associated with a decrease in Klotho levels by -111.43 pg/ml (95% CI: -157.34 to -65.52, P < 0.0001) when TyG index was below 9.4, while above this threshold, the association was not significant (Log likelihood ratio test: 0.009).
CONCLUSIONS: The findings highlight a non-linear correlation between the TyG index and serum Klotho concentrations among females, indicative of a saturation effect. This relationship was particularly pronounced in non-diabetic women. In contrast, no statistically significant association was observed in male participants.

The Visceral Adiposity Index (VAI) assesses visceral fat and related metabolic risks. However, its precise correlation with sarcopenia is unclear. This study aimed to examine this correlation. A cross-sectional analysis was conducted using NHANES data from 2011 to 2018. To correct VAI skewness, a logarithmic transformation was applied. Multiple covariates were included, and logistic regression was employed to explore the relationship between VAI and sarcopenia. Restricted cubic spline (RCS) and threshold saturation analyses were used to investigate the nonlinear relationship. Subgroup analyses evaluated the effects of various stratification factors. Sensitivity and additive analyses tested the robustness of the findings. The study included 4688 individuals. Participants with sarcopenia had significantly higher VAI values. Logistic regression revealed a significant positive connection between Log VAI and sarcopenia (OR 2.09, 95% CI 1.80-2.43) after adjusting for variables. RCS analysis showed a nonlinear correlation, identifying a breakpoint at VAI = 1.51. To the left of this breakpoint, each unit increase in VAI significantly correlated with a higher likelihood of sarcopenia (OR 2.54, 95% CI 1.74-3.79); to the right, increases in VAI did not significantly affect prevalence. Subgroup analyses suggested VAI as an independent risk factor. Sensitivity and additive analyses confirmed the main findings\' robustness. Among American adults, the VAI is significantly associated with sarcopenia, with higher VAI values potentially increasing the prevalence of sarcopenia. Monitoring VAI is critical for early identification of high-risk individuals and interventions to delay or minimize the onset and progression of sarcopenia.

The association between tobacco smoke exposure and sleep has been widely discussed, but the correlation between serum cotinine levels and sleep health outcomes in adolescents has not been well described. This study aimed to further evaluate the association between serum cotinine levels and sleep health outcomes in adolescents using data from the National Health and Nutrition Examination Survey (NHANES) from 2005 to 2018. This cross-sectional study included participants aged 16-19 years from the NHANES 2005-2018. A weighted multivariate logistic regression model was used for the primary analysis. A restricted cubic spline (RCS) model was employed to investigate the non-linear association between serum cotinine levels and trouble sleeping. Subgroup analyses based on population characteristics were also conducted. In total, 2630 participants were included, which are representative of the 11.5 million US adolescents. Higher serum cotinine levels (≥ 3 ng/ml) were significantly associated with trouble sleeping in the fully adjusted model (odds ratio [OR] 1.817). The RCS model revealed a non-linear relationship between serum cotinine levels and trouble sleeping. Subgroup analyses indicated that this relationship was consistent and stable across various population characteristics. Serum cotinine levels are associated with sleep health outcomes in adolescents, with high serum cotinine levels being linked to increased trouble sleeping and longer or shorter sleep duration.

Iron deficiency in pregnancy is related to many poor health outcomes, including anemia and low birth weight. A small number of previous studies have identified maternal body mass index (BMI) as a potential risk factor for poor iron status. Our objective was to examine the association between pre-pregnancy BMI, iron status, and anemia in a nationally representative sample of US adult women. We used data from the National Health and Nutrition Examination Survey (NHANES; 1999-2010) for pregnant women ages 18-49 years (n = 1156). BMI (kg/m2) was calculated using pre-pregnancy weight (self-reported) and height (measured at examination). Iron deficiency (ID) was defined as total body iron (calculated from serum ferritin and transferrin receptor using Cook\'s equation) < 0 mg/kg and anemia as hemoglobin < 11 g/dL. Associations were examined using weighted linear and Poisson regression models, adjusted for confounders (age, race/ethnicity, education, and trimester). Approximately 14% of pregnant women had ID and 8% had anemia in this sample. Ferritin and total body iron trended slightly lower (p = 0.12, p = 0.14) in women with pre-pregnancy BMI in the normal and overweight categories compared to the underweight and obese categories; hemoglobin concentrations were similar across BMI groups (p = 0.76). There were no differences in the prevalence of ID or anemia in women with pre-pregnancy overweight and obesity (ID: overweight, adjusted prevalence ratio (PR) = 1.27, 95%CI: 0.89-1.82; obesity, PR = 0.75, 95%CI: 0.39-1.45; anemia: overweight, PR = 1.08, 95%CI: 0.53-2.19; obesity, PR = 0.99, 95%CI: 0.49-2.01) compared to women with a normal BMI. Findings from these US nationally representative data indicate that total body iron, serum hemoglobin, ID, and anemia in pregnancy do not differ by pre-pregnancy BMI. Since ID and anemia during pregnancy remain significant public health concerns, NHANES should consider measuring current iron status in upcoming cycles.

OBJECTIVE: To investigate relationships between prognostic nutritional index (PNI) during pregnancy and risk of all-cause mortality (ACM) and cardiovascular disease (CVD) mortality in persons with gestational diabetes mellitus (GDM).
METHODS: A cross-sectional study was conducted using NHANES data from 2007 to 2018, and weighted Cox regression models were established. Restricted cubic spline analysis was used to unveil associations of PNI with risk of ACM and CVD mortalities in individuals with GDM. Receiver operating characteristic curve was employed for determination of threshold value for association of PNI with mortality. Sensitivity analysis was performed to verify the stability of the results.
RESULTS: 734 GDM individuals and 7987 non-GDM individuals were included in this study. In GDM population, after adjusting for different categorical variables, PNI was significantly negatively correlated with ACM risk. Subgroup analysis showed that among GDM populations with no physical activity, moderate physical activity, parity of 1 or 2, negative correlation between PNI and risk of ACM was stronger than other subgroups. Sensitivity analysis results showed stable negative correlations between PNI and ACM and CVD mortality of total population, and between PNI and ACM of GDM.
CONCLUSIONS: In individuals with GDM, PNI was negatively correlated with ACM risk, especially in populations with no physical activity, moderate physical activity, and parity of 1 or 2. PNI = 50.75 may be an effective threshold affecting ACM risk in GDM, which may help in risk assessment and timely intervention for individuals with GDM.

BACKGROUND: The aim of this study was to investigate the association between systemic immune-inflammation index (SII) and all-cause mortality in individuals with chronic kidney disease (CKD).
METHODS: This prospective cohort study was carried out among 9303 participants with CKD from the National Health and Nutrition Examination Survey cycles spanning 1999 to 2018. The mortality data were ascertained by linking participant records to the National Death Index up to December 31, 2019. Complex sampling-weighted multivariate Cox proportional hazards models were employed to estimate the association between SII level and all-cause mortality, providing hazard ratios (HR) and 95% confidence intervals (CI). A restricted cubic spline analysis was conducted to explore potential nonlinear correlation. Subgroup analyses and sensitivity analyses were also conducted.
RESULTS: During a median follow-up period of 86 months, 3400 (36.54%) all-cause deaths were documented. A distinctive \"J\"-shaped relationship between SII level and all-cause mortality was discerned among individuals with CKD, with the nadir observed at an SII level of 478.93 within the second quartile. After adjusting for potential covariates, the risk of all-cause mortality escalated by 13% per increment of one standard deviation of SII, once SII exceeded 478.93 (HR = 1.13; 95% CI = 1.08-1.18). An elevated SII was associated with an increased risk of all-cause mortality among patients with CKD (Q4 vs. Q2: HR = 1.23; 95% CI = 1.01-1.48). Subgroup analyses indicated that the correlation between SII and CKD mortality was particularly pronounced among participants over 60 years old and individuals with diabetes. Sensitivity analyses revealed a linear positive association between SII and all-cause mortality after removing the extreme 5% outliers of SII.
CONCLUSIONS: A distinctive \"J\"-shaped relationship between SII level and all-cause mortality was identified among individuals with CKD. Further research is warranted to validate and expand upon these findings.