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Abstract Erectile dysfunction (ED) is closely related to oxidative stress, and antioxidant is a treatment and prevention method for erectile dysfunction. The Compound Dietary Antioxidant Index (CDAI) represents the overall dietary antioxidant intake of the human body. However, the link between CDAI and ED is unclear. The objective of this research was to examine the linkage between CDAI and ED. The research utilized information collected from the National Health and Nutrition Examination Survey (NHANES) spanning the years 2001 to 2004. To assess the association between CDAI and ED, the analysis employed weighted multivariate logistic regression along with weighted restricted cubic splines (RCS). Additionally, subgroup interaction analysis was conducted to confirm the findings. In this investigation, 3184 adults from the U.S., all above the age of 20, were part of the study cohort, with 863 of them identified as having ED. Adjustments for potential confounding variables revealed that the odds ratio (95% confidence interval) of CDAI associating with ED was 0.95 (0.92–0.99; P = 0.01). Besides, compared to the lowest tertile, the highest tertile of CDAI was associated with a lower risk of ED (0.63 [0.46–0.88]; P = 0.01). The application of weighted restricted cubic splines (RCS) analysis delineated a nonlinear inverse relationship between CDAI levels and the probability of ED. Subgroup analysis further demonstrated that the association between CDAI and ED remained consistent across subgroups. This cross-sectional analysis revealed a significant correlation, indicating that elevated levels of CDAI are closely linked with a lower likelihood of ED.

Abstract Background The elderly, especially those with physical disabilities, often encounter barriers that prevent them from accessing outdoor activities. Their perceptions of the convenience of accessing outdoor activities may be influenced by various factors including their health, the social context, and/or planned behavior. This study aimed to develop predictive models that identify the principal determinants of perceived convenience among this demographic, and it also examined the disparities observed between genders. Methods This was a cross-sectional survey of 1216 community-dwelling older people with physical disabilities in rural China. Grounded on the rehabilitation concepts and the theory of planned behavior, structural equation models integrated health and social behavior factors were constructed to predict perceived convenience of accessing outdoor activities. The standardized coefficients explained the contributions of various factors to the variance. Results The final structural models demonstrated good fit for both female and male participants. Perceptions of the convenience of accessing outdoor activities among both women and men were directly impacted by their physical functioning and their intention to participate, and indirectly by medical expenditure, subjective norms, pain, and role limitation in emotional interactions. Positive mental health was more influential for women, while men were more influenced by subjective norms. Conclusions Structural equation models have effectively predicted the self-reported convenience of accessing outdoor activities, underscoring the importance of functional and behavioral rehabilitation. Furthermore, gender-sensitive rehabilitation programs are advised to promote engagement in outdoor activities among elderly individuals with physical disabilities.

Abstract Objective Stroke causes serious physical disability with impaired quality of life (QoL) and heavy burden on health. The goal of this study is to explore the impaired QoL typologies and their predicting factors in physically disabled stroke survivors with machine learning approach. Methods Non‐negative matrix factorization (NMF) was applied to clustering 308 physically disabled stroke survivors in rural China based on their responses on the short form 36 (SF‐36) assessment of quality of life. Principal component analysis (PCA) was conducted to differentiate the subtypes, and the Boruta algorithm was used to identify the variables relevant to the categorization of two subtypes. A gradient boosting machine(GBM) and local interpretable model‐agnostic explanation (LIME) algorithms were used to apply to interpret the variables that drove subtype predictions. Results Two distinct subtypes emerged, characterized by short form 36 (SF‐36) domains. The feature difference between worsen QoL subtype and better QoL subtype was as follows: role‐emotion (RE), body pain (BP) and general health (GH), but not physical function (PF); the most relevant predictors of worsen QoL subtypes were help from others, followed by opportunities for community activity and rehabilitation needs, rather than disability severity or duration since stroke. Interpretation The results suggest that the rehabilitation programs should be tailored toward their QoL clustering feature; body pain and emotional‐behavioral problems are more crucial than motor deficit; stroke survivors with worsen QoL subtype are most in need of social support, return to community, and rehabilitation.

BackgroundSocioeconomic status inequality is an important variable in the emergence of urological diseases in humans. This study set out to investigate the association between the prevalence of overactive bladder (OAB) and the poverty income ratio (PIR) that served as a more influential indicator of socioeconomic status compared to education and occupation.MethodData from the National Health and Nutrition Examination Survey (NHANES) conducted from 2007 to 2020 were used in this cross-sectional study. The association between the PIR and OAB was examined using weighted multivariate logistic regression and weighted restricted cubic splines (RCS). Additionally, interaction analysis was used for investigation to the connections between PIR and OAB in various covariate groups in order to confirm the stability of the results.ResultsWe observed a noteworthy inverse association between PIR and OAB after adjusting for potential confounding variables (OR = 0.87, 95% CI, 0.84–0.90, p