National Health Research Articles

Anxiety, depression, and their association with unintentional injury risk among older adult populations in Guangxi, China: a cross-sectional study

BackgroundThe aging population presents a significant public health challenge, particularly concerning mental health and injury prevention. Anxiety and depression are common among the older adult, affecting their quality of life and increasing the risk of unintentional injuries (UI). This study aims to explore the association between anxiety and depression and UI risk among the older adult in Guangxi, China, using data from the 2023 National Health Service Survey.MethodsA cross-sectional design was employed, analyzing data from 2,894 participants aged 60 and above in Guangxi. The primary variables were anxiety and depression, assessed via validated scales, with UI as the dependent variable. Logistic regression was used to estimate crude and adjusted odds ratios (OR) with 95% confidence intervals (CI), adjusting for potential confounders such as age, gender, socioeconomic status, and lifestyle factors.ResultsSignificant findings indicate that individuals with anxiety and depression had nearly double the risk of UI compared to those without these conditions (adj. OR = 1.92, 95% CI: 1.42–2.6, p < 0.001). Alcohol consumption was also associated with higher UI risk (adj. OR = 1.46, 95% CI: 1.05–2.03, p = 0.023). Females had a significantly higher adjusted odds of UI compared to males (adj. OR = 1.38, 95% CI: 1.03–1.84, p = 0.029), and rural residents were more likely to experience UI than urban dwellers (adj. OR = 1.38, 95% CI: 1.05–1.82, p = 0.02). Exercise frequency was inversely related to UI risk, with those exercising 1–2 times per week having reduced odds (adj. OR = 0.46, 95% CI: 0.22–0.98, p = 0.044). Other factors such as age, marital status, hypertension, diabetes, and main caregiver showed no significant associations with UI.ConclusionAddressing mental health issues and promoting moderate exercise may help reduce UI risk in the older adult. Policies should focus on enhancing mental health services and injury prevention programs, particularly in rural settings, to improve the overall health and safety of the aging population in Guangxi.

Conduction system pacing using electro-anatomical mapping-guided system vs. fluoroscopy: a systematic review, meta-analysis and economic evaluation

Electro-anatomical mapping (EAM) system has been shown as an alternative procedure to fluoroscopy for conduction system pacing (CSP) in patients with severe bradyarrhythmia, however its beneficial and harmful effects has not been assessed in a systematic review (SR). We sought to assess their safety, effectiveness and cost-effectiveness. A SR of the available scientific literature was conducted on the safety, effectiveness, and cost-effectiveness of CSP using EAM system vs. fluoroscopy in patients with severe bradyarrhythmia. A partial economic evaluation was carried out to compare the costs of both strategies from the perspective of the Spanish National Health System. A budget impact analysis was also conducted with a five-year horizon. Seven comparative observational studies (N = 231), analyzing the use of EAM vs. fluoroscopy were selected. Statistically significant differences were observed in total fluoroscopy time: −9.87 min (95%CI:−14.20, −5.53, p < 0.01; I2 = 95%; k = 7; n = 231); His-lead fluoroscopic time: −8.08 min (95%CI:−10.36, −5.81, p < 0.01; I2 = 0%; k = 2; n = 50); and His-lead radiation dose: −17.21 mGy (95%CI:−24.08, −10.34, p < 0.01; k = 1; n = 20). No differences in total fluoroscopy dose, successful procedure or safety were found. The use of EAM represents an increase of EUR 1,397.81 per patient and a net budget impact of EUR 1.63 million. EAM is a valuable alternative for patients who should not be exposed to ionizing radiation with similar effectiveness and safety than fluoroscopy. However, the inclusion of EAM systems, for the indication under study, in routine clinical practice would mean an increase in costs for the Spanish National Health System.Systematic Review Registrationhttps://www.crd.york.ac.uk/PROSPERO/display_record.php?RecordID=421072, identifier (CRD42023421072).

Nationwide cohort study of primary open angle glaucoma risk and cardiovascular factors among in Korean glaucoma suspects

This retrospective study investigated the risk of primary open-angle glaucoma (POAG) among individuals identified as glaucoma suspects and examined associated cardiovascular risk factors. We conducted a longitudinal, nationwide cohort study using data from the Korean National Health Insurance Service (KNHIS) and included 362,285 participants aged ≥ 40 years from the Korean National Health Screening Program (NHSP) without pre-existing POAG in 2009 and 2010. Of these, glaucoma suspects (n = 32,220) were defined as individuals with at least two recorded instances of the KCD code H400 for glaucoma suspect and no prior antiglaucoma medication prescriptions before health screening. The primary outcome was the diagnosis of POAG and the prescription of antiglaucoma medications. Over a 6-year follow-up, 4.92% of glaucoma suspects developed POAG. Through multivariate Cox regression analysis, glaucoma suspects with diabetes, hypertension, dyslipidemia, or coronary heart disease exhibited a greater risk of conversion to POAG than those without these comorbidities ([HR, 1.354; 95%CI, 1.201 to 1.527] for diabetes, [HR, 1.139; 95%CI, 1.019 to 1.273] for systemic hypertension, [HR, 1.128; 95%CI, 1.013 to 1.26] for dyslipidemia, [HR, 1.124, 95%CI, 1.007 to 1.254] for coronary heart disease).This nationwide study observed that among glaucoma suspects, having cardiovascular risk factors/disease was associated with higher risk of developing POAG.

Japan's Conditional/Time-Limited Early Approval System in Regenerative Medicine: A Case Study of Rise and Falls of Autologous Skeletal Myoblast Sheets.

Japan's conditional/time-limited early approval program, initiated in 2014, aimed to advance regenerative medicine by expediting market access. However, the withdrawal of autologous skeletal myoblast sheets (Heartsheet) due to ineffectiveness raises concerns about the balance between rapid approval and scientific integrity. While the program seeks to boost innovation, it risks endorsing costly, unclear treatments under national health care. This case highlights the need to refine regulatory approaches, ensuring clinical efficacy and fiscal responsibility in regenerative therapies.

Exploiting cellular automata and linear regression to predict disease spread

The Covid-19 epidemic has significantly impacted the world, highlighting the urgent need to understand and anticipate its mechanisms of spread. This essential knowledge is necessary to plan and conduct an immediate and adequate public health response. This study presents an approach to modeling the spread of Covid-19 using non-uniform cellular automata. The paper extends the application of a previously developed model that uses cellular automata and the SIRD epidemiological model for predicting the evolution of Covid-19. Originally developed for a different context, the model is now adapted to assess the progression of the pandemic in Germany and Italy, considering the potential impact of neighboring countries on the spread of the epidemic. Additionally, this approach expands the prediction model to countries lacking infection data (Switzerland) by using estimated parameters from neighboring countries and randomly initialized parameters for the target country. The study demonstrates the model’s precision in tracking infection rates over time by employing reliable public data sources such as the World Health Organization and existing information from national health websites. The study not only furnishes valuable insights into the regional distribution of the epidemic’s impact but also makes a significant contribution by extending the model’s application beyond the borders of a single country. It introduces a strategy for extrapolating patterns of infection spread across borders, marking it as the first study of its kind with substantial importance in the field.

Exploring the contribution of integrated healthcare practices to malaria control in Ghana: perspectives of medical herbalists

BackgroundThe integration of herbal and orthodox medicines has gained momentum in global health, ensuring improved management of infectious diseases like malaria. This study explored the experiences of medical herbalists working in Ghana’s diverse ecological zones to understand the contributions of integrated healthcare to malaria control.MethodsA phenomenological design was employed to conduct in-depth interviews with 19 purposively sampled medical herbalists. Framework analytical approach and Donabedian’s conceptual framework for quality of care were utilised in analysing the data.ResultsFindings revealed high awareness of integrated healthcare practices among participants. Medical herbalists perceived integrated care as instrumental in enhancing malaria management through factors such as improved quality assurance, increased accessibility to integrated health facilities, patient-centred care, follow-up practices, and opportunities for continuous professional development. However, structural and process-related challenges were identified, including inadequate healthcare personnel, medicines, and equipment. Additionally, limited promotional activities, non-comprehensive National Health Insurance Scheme (NHIS), and ineffective referral systems were recognised as barriers hindering the effectiveness of the integrated system and its potential contribution to malaria control.ConclusionAlthough national and health system-based challenges have thwarted the importance of integration on malaria control, medical herbalists feel optimistic about the intervention. To optimise the effectiveness of integrated healthcare in controlling malaria in Ghana would require policy modification and implementation. Future research could focus on developing healthcare frameworks, particularly for malaria, that prioritise quality service delivery within an integrated system.

Age-dependent interaction between serum zinc and triglyceride-glucose index among American adults: National Health and Nutrition Examination Survey

IntroductionZinc plays a crucial role in glucose metabolism. The association between serum zinc and insulin resistance has recently been investigated as well, but the findings are inconsistent. The triglyceride-glucose index (TyG) is frequently utilized in epidemiological research to assess insulin resistance. The association between serum zinc levels and TyG has not yet been explored. Therefore, we designed this cross-sectional study to assess the relationship between serum zinc and TyG in adults using data from the National Health and Nutrition Examination Survey (NHANES).MethodsA cross-sectional analysis was performed on 1,610 adults aged ≥20 years who participated in the National Health and Nutrition Examination Survey (NHANES) 2011–2016. The participants were stratified by age, and the differences in log-transformed serum zinc quartiles and TyG were further evaluated in age groups <60 years and ≥60 years using multivariable linear regression with an interaction test. Additionally, a restricted cubic spline (RCS) model was employed to examine the dose-response relationships between log-transformed serum zinc and TyG.ResultsIn this cross-sectional study, a significant interaction was observed between log-transformed serum zinc and TyG in individuals aged <60 years and those aged ≥60 years when log-transformed serum zinc was transformed into a categorical variable (P-value for the likelihood ratio test for the interaction was P = 0.017). Additionally, in the fully adjusted analyses, the association between log-transformed serum zinc and TyG in the age <60 years group demonstrated a J-shaped nonlinear pattern (P for nonlinearity = 0.014), with an inflection point at ~1.94 μg/dL. While in the age ≥60 years group, it exhibited an inverted-L shaped nonlinear pattern (P for nonlinearity < 0.001***).ConclusionThere is a significant relationship between log-transformed serum zinc and TyG in adults in the United States, with age potentially influencing this association. Further prospective studies are needed to offer additional evidence and insights into these findings.

Association of caffeine intake and sleep duration with bone mineral density: a cross-sectional study from National Health and Nutrition Examination Survey between 2011 and 2018

ObjectiveThe association between sleep duration, caffeine intake, and bone mineral density (BMD) is not well understood, with previous studies providing controversial results. This study explores the associations among caffeine intake, sleep duration, and BMD.MethodsData were sourced from the National Health and Nutrition Examination Survey (NHANES) from 2011 to 2018, including 13,457 participants who self-reported sleep duration and caffeine intake, with BMD measured via dual X-ray absorptiometry. Multivariable linear regression models, adjusted for confounders, were used alongside restricted cubic splines to examine dose-response association.ResultsOf all participants, 6821 (50.7%) were males and 6636 were females (49.3%). The mean caffeine intake and sleep duration were 93.4 mg/day and 7.19 h, respectively. RCS results showed that BMD increased with the increase in caffeine intake, especially in the low dose range of 0-200 mg/day. The dose-response association between sleep duration and BMD showed that sleep durations of 0–6 h may promote the increase of BMD, but after sleep durations greater than 6 h, BMD decreases. After adjustment for potential confounders, compared to the lowest referent quartile, individuals with caffeine intake in quartiles 2, 3, and 4 had a positive correlation with BMD (0.62 95% CI: 0.24–1.37; 0.51 95% CI: 0.22–1.13; 0.75 95% CI: 0.41–1.46; P for trend < 0.05). In covariate-adjusted linear regression models, compared with those sleeping 6 h or less per night, the difference in BMD among those sleeping 6–7 h, 7–8 h, and 8–14.5 h per night were 1.81 (95% CI: 0.4122.71), 1.25 (95% CI: 0.55–2.93), and 0.87 (95% CI: 0.38–1.69). Associations of caffeine intake, sleep duration, and BMD stratified by sex and age failed to reach statistical significance.ConclusionsAssociation might exist between the consumption of caffeine, sleep duration, and BMD; however, when stratified by sex and age, the association did not reach statistical significance.

Association between depression and the prevalence and prognosis of prediabetes: Data from National Health and Nutrition Examination Survey (NHANES) 2013-2018.

Diagnosis and intervention of prediabetes is an emerging approach to preventing the progression and complications of diabetes. Inflammatory factors and dysregulation of the hypothalamic-pituitary-adrenal (HPA) axis have been suggested as potential mechanisms underlying the pathogenesis of both diabetes and depression. However, the relationship between depression levels and the prevalence of prediabetes and its prognosis remains elusive. This study aimed to explore the relationship between depression and the prevalence of prediabetes and to further explore the all-cause mortality of different levels of depression in patients with prediabetes. Our study used a data set from the National Health and Nutrition Examination Survey (NHANES). Participants were initially divided into two groups (depression vs. non-depression) and further stratified by different depression severity levels. We used a weighted multiple logistic regression model to analyze the association between depression and prediabetes prevalence and a Cox regression model to assess all-cause mortality in prediabetic patients. A total of 4384 participants were included, divided into depression group (n = 1379) and non-depression group (n = 3005). Results showed that people with depression were at higher risk of developing prediabetes. After adjusting for covariates, moderate to severe depression was positively associated with prediabetes (moderate to severe depression vs no depression: OR = 1.834, 95%CI: 0.713-4.721; severe depression vs no depression: OR = 1.004, 95% CI 0.429-2.351). In addition, we explored the relationship between all-cause mortality and depressive status in patients diagnosed with prediabetes (n = 2240) and found that moderate to severe depression (HR = 2.109, 95%CI 0.952-4.670) was associated with higher mortality in patients with prediabetes. Overall, the findings consistently suggest that depression is positively associated with both the prevalence and mortality risk among individuals with prediabetes. This suggests that depression may be a new and valuable indicator of prediabetes risk. Early treatment of depression improves outcomes in prediabetes.

Predictive equation derived from 6,497 doubly labelled water measurements enables the detection of erroneous self-reported energy intake.

Nutritional epidemiology aims to link dietary exposures to chronic disease, but the instruments for evaluating dietary intake are inaccurate. One way to identify unreliable data and the sources of errors is to compare estimated intakes with the total energy expenditure (TEE). In this study, we used the International Atomic Energy Agency Doubly Labeled Water Database to derive a predictive equation for TEE using 6,497 measures of TEE in individuals aged 4 to 96 years. The resultant regression equation predicts expected TEE from easily acquired variables, such as body weight, age and sex, with 95% predictive limits that can be used to screen for misreporting by participants in dietary studies. We applied the equation to two large datasets (National Diet and Nutrition Survey and National Health and Nutrition Examination Survey) and found that the level of misreporting was >50%. The macronutrient composition from dietary reports in these studies was systematically biased as the level of misreporting increased, leading to potentially spurious associations between diet components and body mass index.

The change of alanine aminotransferase distributions among US youths, NHANES 1988-2020.

The trend of alanine aminotransferase (ALT), a biomarker of metabolic dysfunction-associated steatotic liver disease (MASLD, formerly known as nonalcoholic fatty liver disease), remains poorly described for the pediatric population because no widely accepted cutoffs are available to categorize ALT value. We described the nuanced changes in the distribution of ALT continuous values. We analyzed the data from 15,702 adolescents aged 12-19 who participated in the National Health and Nutrition Examination Surveys between 1988 and 2020. The ALT distributions were standardized for age and sex. The prevalence of elevated ALT was also assessed. The ALT geometric mean increased from 11.82 U/L in 1988-1994 to 17.24 U/L in 1999-2004, stayed above 17 U/L for a decade, and then decreased to 14.04 U/L in 2017-2020 (p for the quadratic trend <0.001). However, the 95th percentile of the ALT distribution remained above 35 U/L by the end of the study period after jumping from 26.02 U/L in 1988-1994 to 33.83 U/L in 1999-2004. The prevalence of elevated ALT (>42 U/L in boys and 30 U/L in girls), doubled from 1.53% (0.87%-2.19%) in 1988-1994 to 3.49% (2.73%-4.25%) in 1999-2004, and lingered around 4% through 2020. The ALT mean decreased in recent years, but the prevalence of elevated ALT remained persistently high. Population-wide reductions in fructose consumption may have contributed to the decrease in ALT mean. The stagnant right end of the distribution, manifesting as the high prevalence of elevated ALT, calls for intensified clinical prevention.

Association between Healthy Eating Index-2015 total and metabolic associated fatty liver disease in Americans: a cross-sectional study with U.S. National Health and Nutrition Examination Survey

BackgroundUtilizing the National Health and Nutrition Examination Survey (NHANES) dataset to investigate the relationship between dietary quality, as assessed by the Healthy Eating Index-2015 (HEI-2015), and the prevalence of metabolic associated fatty liver disease (MAFLD) among adults in the United States, our analysis revealed that an increased dietary quality was significantly correlated with a reduced risk of MAFLD in the American population.MethodThe NHANES dataset, encompassing the years 2017–2018 and comprising 3,557 participants, was incorporated into our analytical framework. Weighted multivariate linear regression model was performed to assess the linear relationship between the HEI-2015 and MAFLD. Dietary intake data were derived from two 24-h dietary recall interviews conducted as part of NHANES.ResultsFollowing multivariable adjustment, the weighted multivariable linear regression models demonstrated a negative correlation between the HEI-2015 total scores and the risk of MAFLD. The weighted logistic regression models revealed that each unit of increased HEI-2015 total value was associated with a 1.2% (95% CI: 0.9%, 1.5%; P &amp;lt; 0.001) decrease in the risk of f MAFLD. Upon categorization of the HEI-2015 scores into quartiles, the odds ratios (ORs) for the association between the risk of MAFLD and the quartile scores of HEI-2015, in comparison to the baseline quartile, were 0.945 (95% CI: 0.852–1.047; P = 0.279), 0.834 (95% CI: 0.750–0.927; P &amp;lt; 0.001), and 0.723 (95% CI: 0.646–0.811; P &amp;lt; 0.001), respectively. When participants were stratified by age and sex, subgroup analyses showed a similar trend. This pattern was also evident in the smooth curve fitting (SCF) and weighted generalized additive model (GAM).ConclusionElevated dietary quality, as assessed by the total and component food scores of the HEI-2015, was significantly correlated with a diminished risk of MAFLD among participants in the NHANES survey featured in this investigation.

Associations of phenols, parabens, and phthalates with biological aging: stratified analyses by chronological age and lifestyle in NHANES 2005–2010

ABSTRACT Humans are widely exposed to phenols, parabens, and phthalates with health risks, while the effects of these chemicals on biological aging remain unclear. Among 3,441 adults in the National Health and Nutrition Examination Survey 2005–2010, phenol, paraben, and phthalate concentrations were measured and phenotypic age acceleration (PhenoAgeAccel) was calculated. Linear regression and weighted quantile sum (WQS) regression were used to evaluate the associations of single and mixed chemicals with PhenoAgeAccel. Stratified analyses by chronological age and lifestyle were also performed. Individual phthalates were positively associated with PhenoAgeAccel. The WQS model found the positive relationship between mixed chemicals with PhenoAgeAccel (β = 0.175, 95%CI: 0.001, 0.349). The adverse impacts of phenols and phthalates on biological aging were stronger in older participants with significant interactions. Adherence to healthier lifestyle might partly reduce the positive relationships of phenols and phthalates with biological aging, especially among older adults, which is expected to be a viable intervention in the future.

Exploring Predictors of Type 2 Diabetes Within Animal-Sourced and Plant-Based Dietary Patterns with the XGBoost Machine Learning Classifier: NHANES 2013–2016

Background/Objectives: Understanding the relationship between dietary patterns, nutrient intake, and chronic disease risk is critical for public health strategies. However, confounding from lifestyle and individual factors complicates the assessment of diet–disease associations. Emerging machine learning (ML) techniques offer novel approaches to clarifying the importance of multifactorial predictors. This study investigated the associations between animal-sourced and plant-based dietary patterns and Type 2 diabetes (T2D) history, accounting for diet–lifestyle patterns employing the XGBoost algorithm. Methods: Using data from the National Health and Nutrition Examination Survey (NHANES) from 2013 to 2016, individuals consuming animal-sourced foods (ASF) and plant-based foods (PBF) were propensity score-matched on key confounders, including age, gender, body mass index, energy intake, and physical activity levels. Predictors of T2D history were analyzed using the XGBoost classifier, with feature importance derived from Shapley plots. Lifestyle and dietary patterns derived from principal component analysis (PCA) were incorporated as predictors, and high multicollinearity among predictors was examined. Results: A total of 2746 respondents were included in the analysis. Among the top predictors of T2D were age, BMI, unhealthy lifestyle, and the ω6: ω3 fatty acid ratio. Higher intakes of protein from ASFs and fats from PBFs were associated with lower T2D risk. The XGBoost model achieved an accuracy of 83.4% and an AUROC of 68%. Conclusions: This study underscores the complex interactions between diet, lifestyle, and body composition in T2D risk. Machine learning techniques like XGBoost provide valuable insights into these multifactorial relationships by mitigating confounding and identifying key predictors. Future research should focus on prospective studies incorporating detailed nutrient analyses and ML approaches to refine prevention strategies and dietary recommendations for T2D.

Association between different insulin resistance indices and all-cause mortality in patients with diabetic kidney disease: a prospective cohort study

AimPrevious research has shown a strong association between insulin resistance (IR) and both the onset and advancement of diabetic kidney disease (DKD). This research focuses on examining the relationship between IR and all-cause mortality in individuals with DKD.MethodsThis study utilized data obtained from the National Health and Nutrition Examination Survey (NHANES), spanning the years 2001 to 2018. Insulin resistance was assessed using reliable indicators (HOMA-IR, TyG, TyG-BMI, and METS-IR). The relationship between IR indices and survival outcomes was evaluated through weighted multivariate Cox regression, Kaplan-Meier survival analysis, and restricted cubic spline (RCS) modeling. To examine non-linear associations, the log-likelihood ratio test was employed, with piecewise regression models used to establish confidence intervals and identify threshold values. Diagnostic precision and efficacy were gauged using Receiver Operating Characteristic (ROC) curves, Area Under the Curve (AUC) evaluations, and calibration plots. Moreover, to verify the consistency of our results, stratified analyses and interaction tests were conducted across variables including age, gender, Body Mass Index (BMI), hypertension, and cardiovascular status.ResultsThis research involved a group of 1,588 individuals diagnosed with DKD. Over a median observation period of 74 months, 630 participants passed away. Using weighted multivariate Cox regression along with restricted cubic spline modeling, we identified non-linear associations between the four insulin resistance indices and all-cause mortality. An analysis of threshold effects pinpointed essential turning points for each IR index in this research: 1.14 for HOMA-IR, 9.18 for TyG, 207.9 for TyG-BMI, and 35.85 for METS-IR. It was noted that levels below these thresholds inversely correlated with all-cause mortality. In contrast, values above these points showed a significantly positive correlation, suggesting heightened mortality risks. The accuracy of these four IR metrics as indicators of all-cause mortality was confirmed through ROC and calibration curve analyses.ConclusionIn patients with DKD, an L-shaped association is noted between HOMA-IR and all-cause mortality, while TyG, TyG-BMI, and METS-IR exhibit U-shaped relationships. All four IR indices show good predictive performance.

Association of tea consumption with all-cause/cardiovascular disease mortality in the chronic kidney disease population: an assessment of participation in the national cohort

Background While there are numerous benefits to tea consumption, its long-term impact on patients with chronic kidney disease (CKD) remains unclear. Method Our analysis included 17,575 individuals with CKD from an initial 45,019 participants in the National Health and Nutrition Examination Survey (NHANES) (1999–2018). Individuals with extreme dietary habits, pregnancy, or non-CKD conditions were excluded. Key cohort demographics revealed a mean age of 62.3 years, with 52.1% female participants, and 57.3% identified as non-Hispanic White. A total of 5,835 deaths were recorded during follow-up, including 1,823 cardiovascular-related deaths. Cox and restricted cubic spline regression was used to examine the linear or nonlinear association of tea consumption with mortality. The substitution analysis explored the effects of replacing a specific type of tea with another type of tea. Subgroup analysis stratified by sex, age, body mass index (BMI), diabetes, cancer, cardiovascular disease (CVD), and urinary albumin. Sensitivity analysis was performed to ensure the reliability of our findings. Results After adjusting for age, sex, race, education level, marital, annual household income, energy intake, total water intake, protein intake, carbohydrate intake, dietary fiber, sugar beverages, milk whole, total monounsaturated fatty acids, total polyunsaturated fatty acids, total saturated fatty acids, smoking, metabolic equivalent of task for physical activity level (MET-PA), BMI, diabetes, hypertension, urinary albumin, estimated glomerular filtration rate (eGFR), CVD, cancer, serum sodium, serum potassium, and serum phosphorus, setting the individuals without tea consumption record as reference. Consuming up to 4 cups of tea per day was significantly associated with lower all-cause mortality compared with that never drinking tea, among CKD patients at 1–2 stages [Hazard Ratio (HR) = 0.89; 95% Confidence Interval (CI) = 0.79, 0.99; p = 0.04], while the association between tea consumption and CVD mortality didn’t reach statistical significance. Dose-response effect was observed, showing that consuming up to three to five cups of tea per day was associated with mitigated risks of all-cause mortality, particularly in early CKD stages (non-linear p > 0.05). A 1 cup per day higher intake of oxidized tea was associated with a 10% lower risk of all-cause mortality in CKD stage 1–2 [HR = 0.90; 95%CI = 0.82, 0.99; p = 0.03]. Replacing 1 cup of green tea with 1 cup of oxidized tea per day was associated with an 8% and 11% lower risk of all-cause mortality [HR = 0.92; 95%CI = 0.86, 0.98; p = 0.01] and CVD mortality [HR = 0.89; 95%CI = 0.80, 1.00; p < 0.05], respectively, in individuals with CKD stages 1–2. Conclusion Tea consumption showed protective effects on all-cause mortality in CKD population, with potential benefits observed in terms of both the cups quantity and types of tea consumed. These findings appeared to be more prominent among early stages CKD population.

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 sedentary behavior, physical activity, and osteoarthritis: results from NHANES 2007–2020 and Mendelian randomization analysis

IntroductionOsteoarthritis (OA) is a prevalent and debilitating disorder that affects the joints and has a complex array of causes. While sedentary behavior (SB) and physical activity (PA) have been implicated in OA risk, the relationship between these factors and OA development remains unclear. This study investigates the correlation and potential causality between SB, PA, and OA using both cross-sectional and Mendelian randomization (MR) analysis.MethodsWe conducted a two-phase study that included a cross-sectional analysis using data from the National Health and Nutrition Examination Survey (NHANES) and a MR analysis. A weighted analysis was performed on data from the NHANES to explore the relationship between SB, PA, and the risk of OA. Logistic regression was used to assess the association between SB, PA, and OA, adjusting for potential confounders. Non-parametric curve fitting was applied to examine the dose-response relationship between PA levels and OA onset. Additionally, MR was utilized to infer the genetic causality between SB, PA, and OA risk, using genetic instruments as proxies for SB and PA.ResultsThe final analysis, which included 24,738 participants, revealed that OA prevalence was 13.47%, with individuals diagnosed with OA exhibiting significantly higher levels of SB and lower levels of PA. A U-shaped relationship was observed between PA and OA risk, with a decrease in OA incidence as PA levels increased, although the protective effect of PA was less pronounced in individuals with severe SB. MR analysis indicated that genetically inferred SB was associated with a higher likelihood of OA (IVW OR 1.20, 95% CI 1.13–1.28), while increased PA was inversely associated with OA risk (IVW OR 0.85, 95% CI 0.73–0.98).ConclusionThis research emphasizes the significance of SB and PA as modifiable factors influencing the risk of OA. It is recommended that individuals at risk of OA should aim to participate in regular physical activity and minimize sedentary behavior to lower their risk of developing the disease. The MR analysis results support the potential causal impact of SB and PA on OA, providing valuable information for the development of therapeutic and rehabilitative strategies.

Exploring the association between caffeine intake and benign prostatic hyperplasia: results from the NHANES 2005–2008

BackgroundCoffee is a physiologically active food component prevalent throughout the world, but the association between caffeine intake and benign prostatic hyperplasia (BPH) has been limited in extensive epidemiological studies.MethodsWe conducted a cross-sectional study to evaluate the association between caffeine intake and BPH in adults in the United States using data from the National Health and Nutrition Examination Survey (NHANES) 2005–2008. Caffeine intake (mg/day) was evaluated based on a 24-h dietary recall. Multivariate logistic regression was used to analyze the independent relationship between caffeine intake and BPH, and the results are presented as odds ratio (OR) and 95% confidence interval (CI), subgroup analysis was also performed.ResultsA total of 2,374 participants were analyzed. After fully adjusting for potential confounders, logistic regression analysis revealed that higher caffeine intake was associated with a greater risk of BPH (ORT3vs1 = 1.52, 95% CI: 1.01–2.27; p = 0.04). In addition, this relationship was consistently observed across different subgroups, including individuals with lower education levels, a poverty income ratio (PIR) of 1.5 to 3.5, former smokers, married/living with partner individuals, those with uric acid levels of 5.5 to 6.5 mg/dL, those with hypertension, and those without cardiovascular disease (CVD).ConclusionThis study is the first to find a positive correlation between caffeine intake and BPH, but further research is needed to determine the exact causal relationship between these factors.

Combined 25-hydroxyvitamin D concentrations and physical activity on mortality in US stroke survivors: findings from the NHANES

Background25-hydroxyvitamin D [25(OH)D] concentrations and physical activity (PA) are linked and both are associated with changes in mortality. We examined the association of 25(OH)D and PA with all-cause or cause-specific mortality risk in stroke survivors.MethodsThe analysis included 677 stroke survivors from National Health and Nutrition Examination Survey (NHANES) 2007–2008 to 2017–2018. Independent and joint associations of 25(OH)D, PA and mortality among stroke survivors were analyzed using weighted Cox regression.ResultsWe identified 133 all-cause deaths [major adverse cardiovascular events (MACE), 34; non-MACE, 79] with a median follow-up of 5.8 years (interquartile, 2.8–8.9 years). In a range of adjusted models, high 25(OH)D was observed with lower all-cause mortality compared to low 25(OH)D (HR, 0.376; 95% CI, 0.233–0.607) and non-MACE (HR, 0.265; 95% CI, 0.143–0.490) mortality was consistently associated. At the same time, compared with no PA, PA was associated with a lower all-cause (HR, 0.280; 95%CI, 0.107–0.733) and non-MACE (HR, 0.266; 95%CI, 0.087–0.810) was associated with a lower risk of death. In addition, pooled analyses showed that stroke survivors with high 25(OH)D and PA had the lowest risk of all-cause death (HR, 0.132; 95%CI, 0.038–0.460) and non-MACE (HR, 0.092; 95%CI, 0.023–0.363), there is an additive interaction between 25(OH)D and PA in non-MACE.ConclusionIn conclusion, this study found that combining high 25(OH)D levels and PA showed an enhanced protective effect which demonstrated a synergistic effect between them in reducing mortality among stroke survivors. These findings provide new ideas and possibilities for the prevention and treatment of cardiovascular and cerebrovascular diseases, offering a reference for development of clinical practice guidelines in the future.