Restricted Cubic Spline Models Research Articles

Association between cardiovascular health and metabolic dysfunction-associated steatotic liver disease: a nationwide cross-sectional study

PurposeEvidence concerning the effect of cardiovascular health (CVH) on the risk of metabolic dysfunctional-associated steatotic liver disease (MASLD) is scarce. This study aimed to investigate the association between CVH and MASLD.Methods5680 adults aged ≥ 20 years from the National Health and Nutrition Examination Survey 2017-March 2020 were included. Life’s essential 8 (LE8) was applied to assess CVH. Weighted binary logistic regression was employed to calculate the odds ratio (OR) and 95% confidence interval (CI) to investigate the association of CVH with MASLD. Restricted cubic spline (RCS) was conducted to explore the dose-response association between LE8 and its subscales scores with MASLD.ResultsAmong 5680 participants, 724, 3901, and 1055 had low, moderate, and high CVH levels, respectively, with a MASLD diagnosis prevalence of 36.83%. In the fully adjusted logistic regression model, ORs for MASLD were 0.50 (95% CI, 0.37–0.69) for participants with moderate CVH and 0.21 (95% CI, 0.13–0.34) for those with high CVH, when compared to those with low CVH (P < 0.001 for trend). OR for MASLD was 0.68 (95% CI, 0.61–0.77) for each 10-point increase in LE8 score. RCS model demonstrated a non-linear dose-response relationship between LE8 score and health factors score with MASLD, while a linear relationship was found between health behaviors score and MASLD. Subgroup analysis showed a consistent negative correlation between LE8 score and MASLD, and sensitivity analysis validated the reliability of these findings.ConclusionsHigher LE8 score was associated with a lower risk of MASLD. Encouraging adherence to optimal CVH levels may help mitigate the burden of MASLD.

Association between urinary phthalate metabolites and sarcopenia in US adults from NHANES 2011-2018.

Phthalates, widely used as chemical additives, are often found as mixtures in the environment. However, the combined impact of phthalate exposure on sarcopenia remains unclear. This study aimed to investigate the relationships between phthalates and sarcopenia in adults. We analyzed data from 3,536 participants from the National Health and Nutrition Examination Survey (NHANES) conducted between 2011 and 2018.Multivariable logistic regression, restricted cubic splines (RCSs), weighted quantile sum regression (WQS), quantile-based g computation (qgcomp), and Bayesian kernel machine regression (BKMR) models were employed to assess the individual, nonlinear, and combined associations between phthalate metabolites and sarcopenia. In addition, subgroup analyses were performed to elucidate sex- and age-specific differences. Multivariable logistic regression revealed that MBP, MEP, and MiBP were positively associated with sarcopenia (P < 0.05) after adjusting for several covariates, including age, sex, race/ethnicity, education level, marital status, body mass index (BMI), smoking status, alcohol drinking, hypertension, diabetes, stroke, congestive heart failure, chronic kidney disease, physical activity, protein intake and energy intake. MBP exhibited a nonlinear relationship with sarcopenia in the RCS model. Furthermore, mixed phthalate metabolites were associated with a higher risk of sarcopenia in the WQS and qgcomp models. The BKMR model indicated an increasing trend in sarcopenia risk. Subgroup analyses showed stronger associations among individuals aged 20-40 years. BKMR analyses also revealed potential interaction effects between MCPP, MECPP, MBP, and MEP on sarcopenia risk. This study provides new evidence that co-exposure to phthalates might increase the risk of sarcopenia. Further research is needed to explore the causal relationship between phthalate metabolites and sarcopenia, as well as to elucidate the underlying mechanisms involved.

Association between estimated pulse wave velocity and in-hospital and one-year mortality of patients with chronic kidney disease and atherosclerotic heart disease: a retrospective cohort analysis of the MIMIC-IV database

Background Carotid-femoral pulse wave velocity has been identified as an autonomous predictor of cardiovascular mortality and kidney injury. This important clinical parameter can be non-invasively estimated using the calculated pulse wave velocity (ePWV). The objective of this study was to examine the correlation between ePWV and in-hospital as well as one-year mortality among critically ill patients with chronic kidney disease (CKD) and atherosclerotic heart disease (ASHD). Methods This study included a cohort of 1173 patients diagnosed with both CKD and ASHD, sourced from the Medical Information Mart for Intensive Care IV (MIMIC-IV) database. The four groups divided into quartiles according to ePWV were compared using a Kaplan-Meier survival curve to assess variations in survival rates. Cox proportional hazards models were employed to analyze the correlation between ePWV and in-hospital as well as one-year mortality among critically ill patients with both CKD and ASHD. To further investigate the dose-response relationship, a restricted cubic splines (RCS) model was utilized. Additionally, stratification analyses were performed to examine the impact of ePWV on hospital and one-year mortality across different subgroups. Results The survival analysis results revealed a negative correlation between higher ePWV and survival rate. After adjusting for confounding factors, higher ePWV level (ePWV > 11.90 m/s) exhibited a statistically significant association with an increased risk of both in-hospital and one-year mortality among patients diagnosed with both CKD and ASHD (HR = 4.72, 95% CI = 3.01–7.39, p < 0.001; HR = 2.04, 95% CI = 1.31–3.19, p = 0.002). The analysis incorporating an RCS model confirmed a linear escalation in the risk of both in-hospital and one-year mortality with rising ePWV values (P for nonlinearity = 0.619; P for nonlinearity = 0.267). Conclusions The ePWV may be a potential marker for the in-hospital and one-year mortality assessment of CKD with ASHD, and elevated ePWV was strongly correlated with an elevated mortality risk in patients diagnosed with both CKD and ASHD.

Copper Intake and Mortality Among Asthmatic Adults: A Cohort Study.

Previous studies have proved trace mineral disorders to be related to changes in oxidative stress, inflammatory state, and immune response in asthmatics. However, there is a scarcity of studies that examine the correlation between copper intake with mortality in asthmatic people. The aim of this research was to investigate the effect of copper intake on the asthmatic population's mortality. This investigation included 3175 individuals from the NHANES. Multiple statistical models were used in this investigation to discuss the correlation between copper intake and the asthmatic population's mortality. These models included Cox proportional hazards models, trend tests, restricted cubic splines (RCS), threshold effect model, and CoxBoost model. Three Cox hazard models showed an inverse relationship between copper intake and the risk of death in asthmatics. Statistical tests, such as trend tests, RCS models, and threshold effect models, proved an inverse and linear link between dietary copper and the risk of death. Through Kaplan-Meier analysis, asthmatic adults who had higher copper intake had a higher survival rate compared to asthmatics with lower copper intake. The CoxBoost model indicated that the intake of copper, selenium, and zinc had a protective effect on mortality, whereas iron was associated with an increased risk of death. The research proved an inverse and linear correlation between dietary copper intake and the risk of death among asthmatic people. Improving copper intake may have a positive impact on the long-term survival of individuals with asthma.

Differential effects of systemic immune inflammation indices on hepatic steatosis and hepatic fibrosis: evidence from NHANES 1999–2018

BackgroundSeveral studies have demonstrated that systemic immune inflammation index (SII) has a positive relationship with hepatic steatosis. However, it is lack of system evidence for the correlation between SII and hepatic fibrosis. The objective of this study was to evaluate the relationships between SII and hepatic steatosis or hepatic fibrosis.MethodsA cross-sectional analysis was performed from the National Health and Nutrition Examination Survey (NHANES). Fibrosis-4 index (FIB-4), NAFLD fibrosis score (NFS) and hepamet fibrosis score (HFS) were the indicators for hepatic fibrosis; fatty liver index (FLI), NAFLD liver fat score (LFS) and Framingham steatosis index (FSI) were the indicators for hepatic steatosis. Pearson’s test, generalized linear model (GLM) and restricted cubic splines (RCS) were used to analyze associations of SII with hepatic fibrosis and hepatic steatosis.ResultsA total of 21,833 participants were enrolled in the study. Pearson’s test and GLM revealed that there were negative relationships between SII and hepatic fibrosis (FIB-4, NFS and HFS), while positive relationships between SII and hepatic steatosis (FLI, LFS and FSI). The corresponding β (95%CI) of SII and hepatic fibrosis were − 0.35(-0.46, -0.24), -0.67(-0.71, -0.63) and − 0.10(-0.12, -0.09), respectively. The corresponding β (95%CI) of SII and hepatic steatosis were 6.12(4.75, 7.50), 0.22(0.12, 0.31) and 0.27(0.20, 0.34), respectively. Statistically significant non-linear association were found in SII with hepatic fibrosis and hepatic steatosis in RCS model (all P < 0.001).ConclusionThere was a negative significant association between SII and hepatic fibrosis, while a positive significant association between SII and hepatic steatosis.

L-shaped association between triglyceride-glucose body mass index and short-term mortality in ICU patients with sepsis-associated acute kidney injury.

Sepsis is a systemic inflammatory response syndrome, with sepsis-associated acute kidney injury (SA-AKI) being a common complication. Insulin resistance (IR) is closely related to the stress response, inflammatory response, and severity of critical illness. The triglyceride-glucose body mass index (TyG-BMI) is a valuable tool for assessing IR. However, the relationships between TyG-BMI and clinical outcomes in patients with SA-AKI remain unclear. We conducted a retrospective analysis of ICU patients with SA-AKI using data from the MIMIC-IV database. The Boruta algorithm was employed to select significant features for predicting short-term mortality in SA-AKI patients. Multivariate Cox proportional hazards regression, sensitivity analysis, restricted cubic spline (RCS) models, and Kaplan-Meier (K-M) survival analysis were used to assess the relationship between TyG-BMI and short-term mortality in SA-AKI patients. Subgroup analyses considered the effects of age, sex, ethnicity, comorbidities and septic shock. This study included 3,349 patients, with males accounting for 60.5% of the patients. The Boruta analysis identified the TyG-BMI as an important clinical feature. Higher TyG-BMI values were significantly associated with reduced short-term mortality rates (28, 90, and 180 days) in patients with SA-AKI; for each standard deviation increase in TyG-BMI, the risk of all-cause death decreased by 0.2% (p < 0.0001). Kaplan-Meier analysis demonstrated that patients with high TyG-BMIs had significantly lower mortality rates than did those with low TyG-BMIs. The RCS model revealed an L-shaped nonlinear relationship between the TyG-BMI and mortality. Sensitivity analyses indicated that the association remained significant even after excluding patients with myocardial infarction, congestive heart failure, or those who were hospitalized in the ICU for less than 2 days. Subgroup analyses revealed a significant interaction effect on short-term mortality in CRRT patients (p < 0.05). The relationship between the TyG-BMI and short-term mortality in ICU patients with SA-AKI is significant, indicating its potential value for early risk assessment and clinical intervention.

Serum concentrations of different or multiple vitamins and Sarcopenia risk among US adults: insights from NHANES

BackgroundThe relationship between serum concentrations of different or multiple vitamins and sarcopenia remains underexplored. This investigation evaluates potential links between serum concentrations of different or multiple vitamins and sarcopenia prevalence among adults in the United States.MethodsUtilizing a cross-sectional design, this research draws from the National Health and Nutrition Examination Survey (NHANES) dataset of 2003–2006, encompassing 5,060 participants with comprehensive serum vitamin A, E, B9, B12, C, and D concentrations, alongside sarcopenia and covariate measurements. Participant stratification into distinct vitamin co-exposure clusters was achieved through K-means clustering. Analytical models, including weighted logistic regression, restricted cubic splines (RCS), weighted quantile sum regression (WQS), quantile g-computation (Q-gcomp), and Bayesian kernel machine regression (BKMR), were employed to evaluate the association between serum concentrations of different or multiple vitamins and sarcopenia risk, with an emphasis on nonlinearity.ResultsIn this study, sarcopenia was detected in 681 individuals (13.46%). Logistic regression results did not demonstrate any linear association between individual vitamin levels and sarcopenia risk (PFDR > 0.05). Contrastingly, the RCS model unveiled significant non-linear relationships for vitamins A and D (P_non-linear < 0.05). The K-means clustering results showed that participants in high-level vitamin exposure group had lower sarcopenia risk compared with those in low-level vitamin exposure group (OR (95% CI): 0.582 (0.397, 0.852)). Additionally, higher serum concentrations of different or multiple vitamins correlated inversely with sarcopenia risk (P_trend = 0.002). This inverse association was corroborated by WQS, Q-gcomp, and theBKMR models and remained consistent upon sensitivity analysis.ConclusionsThis study elucidates an inverse correlation between serum concentrations of different or multiple vitamins and sarcopenia risk, emphasizing a non-linear association, particularly with suboptimal vitamin D concentrations. Given the limitations of the NHANES study, further researches are required to clarify the existence of these relationships.

Rheumatoid Factor Titer as an Indicator of the Risk of Rheumatoid Arthritis Activity: Dose-Effect Analysis with the Restricted Cubic Spline Model.

Rheumatoid factor (RF) titer is known to be correlated to rheumatoid arthritis (RA) activity, but the ideal cut-off titer of RF remains unclear. Here, the relationship between RF titer and RA activity was investigated in order to determine the ideal RF value indicative of the risk of RA activity. Clinical data from 2044 eligible patients were collected from the First Affiliated Hospital of Anhui Medical University from February 2022 to October 2023. A restricted cubic spline (RCS) model was used to evaluate the relationship between RF titer and RA activity. Data from a total of 2044 patients with RA were collected and analyzed. Multivariate logistic regression analysis revealed that higher RF levels were significant predictors of the risk of RA activity calculated according to the disease activity score 28 (DAS28)-erythrocyte sedimentation rate (ESR) (OR = 2.020, 95% CI = 1.457-2.801, P < 0.001) and DAS28-C reactive protein (CRP) (OR = 1.526, 95% CI = 1.092-2.131, P = 0.013), after the results were adjusted for potential covariates. The relationship between log2RF and the risk of RA activity was non‑linear in the RCS model (P < 0.05). The cutoff value of RF titers for determining the risk of RA activity was 65.80 IU/mL. When RF exceeded the cutoff value, the risk of RA activity based on DAS28-ESR increased by 99.2% and the risk of RA activity based on DAS28-CRP increased by 62.8% (P < 0.001). The risk of RA activity increased non-linearly with the continuous change in RF titer.

Influence of TyG Index on Large Vascular Occlusive Stroke Following Endovascular Treatment.

This study aimed to investigate the impact of the triglyceride-glucose index (TyG index) on clinical consequences in individuals with large vascular occlusion (LVO)-induced acute ischemic stroke (AIS) following endovascular treatment (EVT). We conducted a single-center retrospective cohort study, including AIS with LVO who underwent EVT. Patients were categorized into TyG index groups, calculated as "(fasting triglyceride [mg/dL] × fasting blood glucose [mg/dL]/2)." Clinical outcomes were assessed, including poor outcome (modified Rankin Scale [mRS] > 2 [3-6]) at 90 days, early neurological deterioration (END), symptomatic intracranial hemorrhage (sICH), and 90-day mortality after EVT. Logistic regression and restricted cubic splines (RCS) were used to examine the relationship between the TyG index and clinical outcomes. Receiver operating characteristic (ROC) curve was constructed to evaluate the prognostic capacity of the TyG index. A total of 424 patients were included. Higher TyG levels were associated with worse functional outcome at 90 days (per unit: p = 0.006), sICH (per unit: p = 0.002, T3 versus T1: p = 0.004), and 90-day mortality (T2 versus T1: p = 0.011, T3 versus T1: p = 0.029) in logistic regression. A RCS model revealed a linear association between the TyG index and poor outcome at 90 days, sICH, and 90-day mortality (p for nonlinearity > 0.05). In ROC curve analysis, the traditional risk factors model (area under the curve [AUC]: 0.824, 95% CI: 0.784-0.859) was outperformed by the conventional risk factors + TyG index model (AUC: 0.845, 95% CI: 0.807-0.878) in predicting poor outcome (p = 0.021). A higher TyG index is associated with worse clinical outcomes in LVO-induced AIS patients after EVT. Additionally, the TyG index enhances risk prediction of traditional risk factors for poor outcome.

Association between exposure to arsenic, cadmium, and lead and chronic kidney disease: evidence from four practical statistical models.

Environmental exposure to arsenic (As), lead (Pb) and cadmium (Cd) may cause chronic kidney disease (CKD), with varying independent effects and unclear combined impact. This study aimed to evaluate these effects on CKD. 1,398 individuals were included. Urine arsenic (UAs) was determined by atomic fluorescence method. Urinary cadmium (UCd) and blood lead (BPb) levels were determined by graphite-furnace atomic absorption spectrometry. CKD was defined as an estimated glomerular filtration rate (eGFR) < 60mL/min/1.73m2or proteinuria. Generalized linear models (GLM), restricted cubic spline (RCS) models, weighted quantile sum (WQS) regression, and Bayesian kernel machine regression (BKMR) models were employed to study the independent and combined effects of exposure to As, Pb and Cd on CKD risk. Compared with non-CKD subjects, UAs, UCd, BPb, and creatinine adjusted urinary cadmium (UCdCr) were all significantly higher in CKD subjects. Compared with the lowest quartiles, the ORs (95%CIs) of CKD risk in the highest quartiles were 2.09 (1.16-3.74) for UAs, 2.84(1.56-5.18) for UCd, and 1.79 (1.05-3.06) for UCdCr, respectively. UAs, UCd, and UCdCr were all significantly positively associated with CKD risk in p-trend tests. RCS models revealed non-linear links between UAs, UCd, UCdCr and CKD risk, while a linear dose-response existed for BPb and CKD risk. The OR (95%CI) in WQS models were 1.72 (1.25-2.36) with UAs being the highest weighing metal(loid). BKMR models showed co-exposure mixture linked to higher CKD risk when the ln-transformed metal(loid)s above their 55th percentile. The ln-transformed UAs and UCdCr was significantly positively associated with CKD risk when the other two ln-transformed metals levels were all fixed at their different percentile levels. Synergism between Cd and Pb was also apparent. Single As, and Cd exposure were positively associated with an increased CKD risk. Co-exposure to As, Pb and Cd was positively associated with CKD risk, with As playing a dominant role.

The Association Between Brominated Flame Retardants Exposure and Liver-Related Biomarkers in US Adults.

Background: Emerging studies demonstrate that exposure to brominated flame retardants (BFRs) can have harmful effects on human health. Our study focused on the relationship between exposure to various BFRs and markers of liver function. Methods: To further explore the association between BFR exposure and liver function impairment, we used data from the National Health and Nutrition Examination Surveys (NHANES) for three cycles from 2009 to 2014, leaving 4206 participants (≥20 years of age) after screening. Nine BFRs and eight liver function tests (LFTs) were measured in the participants' serum to represent BFRs and liver function impairment in vivo. To investigate whether there is a relationship between BFRs and health outcome, statistical research methods such as the weighted linear regression model, restricted cubic spline (RCS), weighted quantile sum (WQS), quantile-based g computing (QGC), and the Bayesian Kernel Machine Regression (BKMR) were used to evaluate the correlation between serum BFRs and LFTs. Results: The studies reveals that exposure to BFRs is associated with liver function biomarkers. In a weighted linear regression model, we found that PBB153, PBDE99, PBDE154, PBDE209, PBDE85 exposure was positively correlated with AST, ALT, GGT, ALP, TP, and SL risk. In RCS model, the nonlinear relationships between PBB153 and AST, ALT, and GGT and PBDE209 and ALT and TP are the most significant. The exposure to combined BFRs was positively correlated with AST, ALT, and GGT in WQS and QGC models. BKMR analysis showed that BFR exposure was positively correlated with AST, ALT, ALP, and GGT. Conclusions: Exposure to BFRs is associated with liver function impairment, suggesting that BFR exposure is potentially toxic to the human liver, but more in-depth studies are needed to explore this correlation.

Association between iron metabolism and acute kidney injury in cardiac surgery with cardiopulmonary bypass: a retrospective analysis from two datasets

ObjectiveWe sought to explore the linear or nonlinear relationship between preoperative iron metabolism and acute kidney injury following cardiac surgery (CSA-AKI) with cardiopulmonary bypass (CPB).MethodsPatients who underwent cardiac surgery with CPB between December 2018 and April 2021 were retrospectively collected from Fuwai Hospital and Medical Information Mart for Intensive Cared dataset (MIMIC-IV). The measurements of iron metabolism included serum iron (SI), serum ferritin (SF), transferrin (TRF), transferrin saturation (TS), and total iron binding capacity (TIBC). Logistic regression and restricted cubic spline (RCS) were used for linear and nonlinear analysis. The primary outcome was postoperative AKI with 48 h after cardiac surgery.ResultsOf 10,639 patients screened (2420 in Fuwai Hospital and 8219 in MIMIC-IV dataset),1488 eligible patients were enrolled for the final analysis (Fuwai Hospital: n = 744, MIMIC-IV: n = 744).The incidence of AKI was 25.7% and 56.5%, respectively. Logistic regression showed that the levels of TRF (odds ratio (OR) = 1.53,95%CI:1.01–2.14, p = 0.012) and TIBC (OR = 1.05,95%CI:1.02–1.07, p < 0.001) were independent risk factor for AKI. Moreover, in the spline models adjusted with age (median:56), female, and history of diabetes, a significant statistical difference was observed between SI, SF, TRF, TS, TIBC (p for nonlinear < 0.05) and AKI in the Fuwai Hospital dataset. Additionally, the levels of SI (p for nonlinear 0.0364),SF (p for nonlinear 0.0461) were also in non-linear relationship with AKI in the MIMIC-IV dataset.ConclusionIron metabolism markers (SI, SF, TS, TRF, and TIBC) displayed a nonlinear relationship with AKI by the RCS model (adjusted by age, gender, and history of diabetes). Notably, the MIMIC-IV dataset, which includes elderly patients, also demonstrated a nonlinear relationship between SI, SF and AKI. These findings highlight the potential therapeutic value of targeting proteins related to iron metabolism in patients with AKI.Clinical trial numberNot applicable.

Association between triglyceride glucose index and endometriosis in adults in the United States: A comprehensive study from the National Health and Nutrition Examination Survey (NHANES).

The triglyceride glucose (TyG) index has been well recognized as a reliable marker of insulin resistance and substantially correlated with the pathogenesis and progression of hypertension and cardiovascular diseases. However, no study has investigated the association between the TyG index and endometriosis. Therefore, this study aimed to uncover an association between the TyG index and endometriosis. This cross-sectional investigation employed the extensive dataset derived from the National Health and Nutrition Examination Survey (NHANES) (1999-2006). To explore the potential connection between the TyG and endometriosis, a multivariate weighted logistic regression model was established. The nonlinear relationship between the TyG index and the risk of endometriosis was explored using restricted cubic spline models (RCS). Furthermore, subgroup analyses were conducted. Ultimately, 2,508 individuals were included in this investigation. The findings unveiled a robust positive correlation between the TyG index and the susceptibility to endometriosis (OR [95% CI]: 1.52 [1.024,2.258]; P < 0.05). This positive association remained consistent across diverse subgroups. Age, birthplace, and whether one ovary was removed were identified as significant risk factors. In RCS analysis, the TyG index showed a nearly linear relationship with the risk of endometriosis (P-nonlinear > 0.05). The findings indicate a positive association between the TyG index and the risk of endometriosis, exhibiting an approximate non-linear relationship.

Dietary patterns and bone density among school-aged children: a cross-sectional study in China.

Diet is an essential modifiable determinant of bone health, yet the associations between dietary patterns (DPs) and bone mineral density (BMD) in Chinese children remain limited. This study aimed to investigate the relationship between overall diet and low BMD risk among school-aged children in China. A total of 1,099 children aged 9-12 in China were recruited for this cross-sectional study. A semi-quantified food frequency questionnaire (FFQ) was used to assess dietary intake. A priori numerical index, the Chinese Dietary Guidelines Index for Children and Adolescents [CDGI (2021)-C] was utilized to assess dietary quality. Specific DPs were identified by using principal components analysis (PCA). The BMD of the left forearm was assessed using dual-energy X-ray absorptiometry (DXA). Spearman correlation test was conducted to investigate the associations between DPs. Multivariate logistic regression analysis and restricted cubic spline models (RCS) were applied to explore the associations between DPs and BMD. Three distinct DPs were identified: the plant-animal balanced pattern, the grain-tuber-meat pattern, and the bean-dairy pattern. We found a weak but significant positive correlation of the CDGI (2021)-C with the plant-animal balanced pattern (R = 0.318, P < 0.001), and with the bean-dairy pattern (R = 0.266, P < 0.001), respectively. After adjusting for covariates, adherence to the CDGI (2021)-C (Q4 vs. Q1, OR = 0.45, 95% CI: 0.27-0.75), the plant-animal balanced pattern (Q4 vs. Q1, OR = 0.50, 95% CI: 0.31-0.81), and the bean-dairy pattern (Q3 vs. Q1, OR = 0.57, 95% CI: 0.33-0.96) were associated with a lower risk of low BMD. No significant association was observed between the grain-tuber-meat pattern and low BMD (Q4 vs. Q1, OR = 1.09; 95% CI: 0.90-1.31). Adherence to the CDGI (2021)-C and the plant-animal balanced pattern is advantageous for bone health and inversely correlated with the risk of low BMD among school-aged children in China. Additionally, moderate adherence to the bean-dairy pattern may also confer benefits to bone health. A balanced and overall healthy diet should be recommended in our daily life.

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.

Association between neutrophil-percentage-to-albumin ratio (NPAR) and metabolic syndrome risk: insights from a large US population-based study

Metabolic syndrome (MetS) is a cluster of conditions that increase the risk of cardiovascular disease and diabetes. This study aimed to investigate the association between Neutrophil-Percentage-to-Albumin Ratio (NPAR) and MetS in a large, nationally representative US population. We analyzed data from 28,178 participants in the National Health and Nutrition Examination Survey (NHANES) 2005–2018. Logistic regression models were used to evaluate the association between NPAR and MetS. Restricted cubic spline (RCS) models were employed to assess the dose-response relationship. Mediation analyses were conducted to explore potential mediating effects of serum uric acid and triglyceride-glucose (TyG) index. After adjusting for confounders, participants in the highest NPAR quartile had a 14% higher risk of MetS compared to those in the lowest quartile (OR 1.14, 95%CI 1.03–1.27, P = 0.010). RCS models revealed a monotonic increasing trend between NPAR and MetS risk (P for overall association = 0.002). Mediation analyses showed that serum uric acid and TyG index mediated 14.93% and 29.45% of the total effect of NPAR on MetS, respectively. Subgroup analyses indicated that the positive association between NPAR and MetS was more pronounced in Mexican Americans, individuals aged 20–65 years, those with lower income, males, current smokers, and moderate drinkers. Higher NPAR is associated with increased risk of MetS in the US adult population. This association is partially mediated by serum uric acid and TyG index. These findings suggest that NPAR may serve as a novel biomarker for MetS risk assessment and provide insights into potential mechanisms linking inflammation and metabolic disorders.

Association of hemoglobin-to-red blood cell distribution width ratio and bone mineral density in older adults

BackgroundHemoglobin-to-Red Cell Distribution Width Ratio (HRR) represents novel prognostic markers for diseases. However, there remains a lack of systematic research into the relationship between HRR and Bone Mineral Density (BMD) or osteoporosis in older adults.MethodsThis study utilized information from the NHANES database, selecting individuals over 50 years of age with complete femoral DXA scans and full blood counts. The relationship between HRR and femoral BMD was investigated using weighted linear models and restricted cubic spline (RCS) models. Moreover, the association between HRR and osteoporosis was further explored using logistic regression models and RCS models, with subgroup analysis conducted to test the robustness of the results.ResultsThis study included a total of 7,149 participants, and the BMD of the group with higher HRR was significantly greater than that of the group with lower HRR. Weighted linear regression analysis found a linear positive correlation between HRR and femoral BMD. When HRR was converted from a continuous variable to a categorical variable, this relationship remained stable. In addition, multivariate logistic regression analysis showed that for each 1-unit increase in HRR, the prevalence of osteoporosis significantly decreased (OR = 0.25, 95% CI: 0.12–0.51), further confirming the findings of this study. Subgroup analysis showed that this association was not significantly affected by confounding factors across different populations.ConclusionHRR may serve as one of the potential indicators for evaluating BMD and assessing the prevalence of osteoporosis in the elderly. Elevating HRR levels may play a crucial role in the prevention and slowing of osteoporosis progression.

Association between BMI and increased time-to-pregnancy in planned pregnancy couples: a cohort study in Guangzhou, China

BackgroundThis study examines the relationship between overweight and obesity and fertility in the context of China’s fertility. Given the inconsistent results in previous research, which mostly focused on females, our study targets couples in Guangzhou. We investigate the relationship between Body Mass Index (BMI) and time-to-pregnancy (TTP) to provide evidence-based strategies for enhancing reproductive outcomes in China.MethodsThis cohort study, utilizing the National Free Pre-pregnancy Checkups Project (NFPCP), employs a Cox regression model to assess the associations between different BMI categories and TTP. Heatmaps are utilized to investigate the association between various BMI combinations of couples and TTP. Additionally, restricted cubic spline (RCS) curves were used to explore the impact of different ranges of male and female BMI on TTP.ResultsThe results showed that females and males classified as overweight and obese (fecundability ratios (FR) 0.78, 95% CI 0.64, 0.95 for females; FR 0.86, 95% CI 0.76, 0.97 for males) had longer TTP compared with those in the normal weight category, regardless of controlled covariates, while those classified as underweight also had longer TTP, but the difference was not statistically significant (P > 0.05). Across all BMI combinations, couples in the overweight and obese groups exhibited the longest TTP, experiencing a 34% increase in TTP compared to couples in the normal BMI combination (FR 0.66; 95% CI 0.50, 0.85). After adjusting for all covariates in the RCS models, a female BMI surpassing 23.65 or a male BMI within the range of 23.40 to 29.44 was significantly associated with an increase in TTP (FR<1).ConclusionsIncreased BMI in both females and males is associated with a certain predictive effect on prolonged TTP. Scientific BMI management is crucial for couples preparing to conceive.

Multiple triglyceride-derived metabolic indices and incident cardiovascular outcomes in patients with type 2 diabetes and coronary heart disease

BackgroundTriglyceride (TG) and its related metabolic indices are recognized as important biomarker gauging cardiovascular diseases. This study aimed to explore the association between multiple TG-derived metabolic indices including the atherogenic index of plasma (AIP), triglyceride-glucose (TyG) index, triglyceride glucose-body mass index (TyG-BMI) and cardiovascular outcomes to identify valuable predictors for cardiovascular prognosis in patients with type 2 diabetes (T2DM) and coronary heart disease (CHD).MethodsData of 1034 patients with T2DM and CHD from China-Japan Friendship Hospital between January 2019 and March 2022 were collected and analyzed. Multivariate Cox proportional hazards models and restricted cubic spline (RCS) analysis were conducted to examine the associations between AIP, TyG index, TyG-BMI and major adverse cardiac and cerebrovascular events (MACCEs). The area under the receiver operating characteristic (ROC) curve (AUC) was used to screen the most valuable predictor. Kaplan-Meier curve analysis was employed to examine the relationship between the predictor and prognosis. The goodness-of-fit of models was evaluated using the calibration curve and χ2 likelihood ratio test. Subgroup analysis and interaction test were performed to control for confounding factors.ResultsThe overall incidence of MACCEs was 31.04% during a median of 13.3 months of follow-up. The results showed that AIP, TyG index and TyG-BMI were all positively correlated with the risk of MACCEs in patients with T2DM and CHD (P < 0.05). Furthermore, ROC (AUC = 0.899) suggested that AIP had the strongest ability to predict the risk of MACCEs, and the highest AIP values enhanced the risk by 83.5% in the population. RCS model demonstrated that AIP was nonlinearly associated with the incident cardiovascular outcomes (P for nonlinear = 0.0118). The Kaplan-Meier analysis for MACCEs grouped by the AIP tertiles indicated that the probability of cumulative incidences of MACCEs was significantly higher in patients with a higher AIP (all Log rank P < 0.001). Meanwhile, the calibration curve demonstrated an excellent goodness-of-fit of the multivariate model (χ2 = 13.210, P = 0.105). Subgroup analysis revealed that the trend of positive association of AIP with cardiovascular risk was similar across subgroups except in non-hypertensive individuals.ConclusionOur study, for the first time, may provide valuable information that multiple TG-derived metabolic indices play a crucial role in the risk of MACCEs and it is recommended to monitor the AIP for lipid management in patients with established T2DM and CHD.

Association between dietary inflammatory index and all-cause mortality in US adults with dermatitis: a population-based cohort study.

While dermatitis management is primarily symptomatic, the role of diet in symptom exacerbation and improvement is increasingly recognized. The dietary inflammatory index (DII), a quantitative assessment tool for dietary inflammatory potential, has been associated with various chronic diseases but remains understudied in dermatitis. This cohort study investigated the association between DII scores and all-cause mortality among patients with dermatitis. The study included 1,074 patients with dermatitis and complete dietary intake records from the National Health and Nutrition Examination Survey (NHANES) 1999-2004. The DII scores were calculated using two 24-h dietary recalls and dietary supplement intakes and the consumption of 28 foods with known pro- or anti-inflammatory properties. All-cause mortality information was from the National Death Index, censored on December 31, 2019. Multivariable Cox hazards regression models, restricted cubic spline (RCS) models, and subgroup analyses were employed to evaluate the association of DII with all-cause mortality, adjusting for potential confounders. The 1,074 patients were divided into DII tertiles (T1: n = 358, median age 40 years, DII -3.91, 0.06; T2: n = 296, median age 40 years, DII 0.06, 1.88; T3: n = 237, median age 39 years, DII 1.88, 4.39). The study revealed a positive correlation between higher DII scores and increased all-cause mortality risk among patients with dermatitis (fully-adjusted model, HR = 1.13, 95% CI 1.02, 1.27, p = 0.026). This association was more pronounced in adults over 45 years, with the highest DII tertile indicating a 2.42-fold increased mortality risk (95% CI 1.15, 5.07, p = 0.019) compared with the lowest tertile. The RCS model confirmed a linear dose-response trend (p for non-linear = 0.183), validating the relationship. Elevated DII scores are associated with an increased risk of all-cause mortality in patients with dermatitis, suggesting that the dietary inflammatory potential may impact health outcomes in this population. The findings underscore the importance of dietary interventions in dermatitis management, especially for middle-aged and older adults. Future research with larger cohorts and a longer follow-up is warranted to validate the findings.