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Abstract Nocturia is the most prevalent lower urinary tract symptom (LUTS) and is closely associated with various diseases and social burdens. Research on the relationship between physical activity and various diseases has progressed significantly. However, the association between nocturia and physical activity has received limited attention in prior studies. Thus, this study aimed to investigate the relationship between different domains of physical activity (e.g., occupation-related physical activity [OPA], transportation-related physical activity [TPA], and leisure-time physical activity [LTPA]) and nocturia. We included 5516 participants from the cross-sectional National Health and Nutrition Examination Survey (NHANES) conducted between 2007 and 2012, employing survey-weighted logistic regression, restricted cubic splines (RCS), subgroup analysis, and sensitivity analysis to assess the relationship between different domains of physical activity and nocturia. Multivariable logistic regression analysis revealed a significant negative correlation between PA, LTPA, and nocturia. Specifically, PA (OR 0.7523, 95% CI 0.6307–0.8974, P = 0.002) and LTPA (OR 0.7664, 95% CI 0.6314–0.9304, P = 0.007) were negatively associated with nocturia. The RCS curve demonstrated non-linear relationships between PA, LTPA, and nocturia. Additionally, subgroup analyses and sensitivity analyses further validated this association. Based on this cross-sectional study, we suggested that PA and LTPA are associated with a reduced risk of nocturia in adults aged 20 years and older in the United States. This underscores the importance of physical activity in preventing and managing nocturia may provide valuable guidance for clinical practice.

Abstract Background Lipid droplets (LD) in renal clear cell carcinoma (ccRCC)play a crucial role in lipid metabolism and immune response modulation. The purpose of this study was to create a LD-related signature to predict prognosis and guide the immunotherapy and targeted therapy in ccRCC patients. Methods We conducted a comprehensive analysis using transcriptional profiles and clinical data obtained from The Cancer Genome Atlas (TCGA). LD-related genes were identified from existing literature and the GeneCards database, and differentially expressed genes were determined. Sequentially, we conducted Cox regression analysis and Lasso regression analysis, to establish a prognostic risk model. The performance of the risk model was evaluated using Kaplan–Meier (KM) analysis and time-dependent receiver operating characteristic (ROC) analysis. Additionally, gene set enrichment analysis (GSEA), ESTIMATE, CIBERSORT, and immunophenoscore (IPS) algorithm were used to assess the tumor microenvironment (TME) and treatment response. Results We constructed a risk signature with four LD-related genes in the TCGA dataset, which could be an independent prognostic factor in ccRCC patients. Then, patients were classified into two risk groups and exhibited notable differences in overall survival (OS), progression-free survival (PFS), and TME characteristics. Furthermore, we developed a comprehensive nomogram based on clinical features, which demonstrated good prognostic predictive value. According to the results of GSEA analysis, immune-related pathways were found to be significantly enriched in the high-risk group. Additionally, the high-risk group displayed high levels of immune cell infiltration, TMB and IPS scores, indicating better efficacy of immune checkpoint inhibitors (ICIs). Finally, high-risk demonstrated reduced IC50 values compared to the low-risk counterpart for specific targeted and chemotherapeutic drugs, suggesting that the patients receiving these targeted drugs in high-risk group had better treatment outcomes. Conclusions Our findings suggested that the LD-related gene signature could potentially predict the prognosis of ccRCC patients. Additionally, it showed promise for predicting responses to immunotherapy and targeted therapy in ccRCC patients. These insights might potentially have guided the clinical management of these patients, but further validation and broader data analysis are needed to confirm these preliminary observations.

BackgroundNocturia, the most common lower urinary tract symptom (LUTS), significantly impacts socioeconomic factors and individuals' quality of life and is closely related to many diseases. This study utilized data from NHANES 2005-2010 to explore the relationship between family income to poverty ratio (PIR) and the presence of nocturia symptoms in adults aged 20 or older in the United States.MethodsData from the National Health and Nutrition Examination Survey (NHANES) in 2005-2010, including 6,662 adults aged 20 or older, were utilized for this cross-sectional study. The baseline data was used to display the distribution of each characteristic visually. Multiple linear regression and smooth curve fitting were used to study the linear and non-linear correlations between PIR and nocturia. Subgroup analysis and interaction tests were conducted to examine the stability of intergroup relationships.ResultsOut of the 6,662 adult participants aged 20 or older, 1,300 households were categorized as living in poverty, 3,671 households had a moderate income, and 1,691 households were classified as affluent. Among these participants, 3,139 individuals experienced nocturia, representing 47.12% of the total, while 3,523 individuals were nocturia-free, constituting 52.88% of the total population. After adjusting for all other covariates, it was found that PIR was significantly negatively correlated with nocturia (OR: 0.875, 95%CI: 0.836-0.916 P 4) or quartiles. There was a non-linear negative correlation between PIR and nocturia.ConclusionOur findings indicated that lower PlR was associated with a higher risk of nocturia in adults aged 20 or older in the United States. These findings highlight the importance of considering socioeconomic factors in preventing and managing nocturia. Nonetheless, further exploration of the causal nexus between these factors was precluded due to the constraints of a cross-sectional design.

BackgroundNocturia, a prevalent chronic condition, impacts individuals' quality of life but remains underexplored. This study aimed to assess the association between serum albumin levels and nocturia.MethodsBased on the analysis of the National Health and Nutrition Examination Survey (NHANES) database (2005-2012), our study included a total of 6345 adults (≥20 years old). Nocturia was defined as ≥2 nocturnal voiding episodes. Logistic regression and smooth curve fitting analyzed the linear and nonlinear correlations between serum albumin and nocturia, with subgroup analysis.ResultsAmong 6345 participants, 1821 (28.7%) experienced nocturia. Logistic regression analysis revealed a linear negative correlation between serum albumin and nocturia risk (OR = 0.9549, 95% CI = 0.9280 ~ 0.9827, P = 0.002). Even after quartile division of serum albumin concentration, this correlation persisted within each group, and a smooth curve fitting validated the nonlinear negative correlation between the two. Subgroup analysis further demonstrated significant impacts of body mass index (BMI), alcohol consumption, and age on this association.ConclusionThis cross-sectional study indicated that higher serum albumin levels were associated with a reduced risk of nocturia in U.S. adults aged 20 and older, highlighting the importance of serum albumin in the prevention and treatment of nocturia and providing clinical guidance.