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1.
Medicine (Baltimore) ; 103(23): e38433, 2024 Jun 07.
Article in English | MEDLINE | ID: mdl-38847691

ABSTRACT

Chemokines influence the progression of prostate cancer (PCa) through multiple mechanisms. However, the effect of C-X3-C chemokine ligand 1 (CX3CL1) on PCa risk remains controversial. Our study aimed to investigate whether circulating CX3CL1 is causally associated with PCa and to identify metabolites that have mediating effects using the 2-step bidirectional Mendelian randomization (MR) analysis process. Inverse variance weighting (IVW) results were used as the primary observations, while additional sensitivity analyses were conducted. For each standard deviation increase exhibited by the circulating CX3CL1 levels, the risk of PCa was reduced by 0.4% (IVW: OR = 0.996, [95% CI = 0.994-0.998], P < .001), and blood alliin levels increased by 19% (IVW: OR = 1.185, [95% CI = 1.01-1.54], P = .003). For each standard deviation increase in the blood alliin levels, the risk of PCa was reduced by 0.1% (IVW: OR = 0.999, [95% CI = 0.997-0.999], P = .03). Therefore, the protective effect of circulating CX3CL1 on PCa may be mediated by blood alliin levels (mediated proportion = 6.7%). The results supported the notion that high levels of circulating CX3CL1 indicate a lower PCa risk and the idea that the food-derived antioxidant alliin may mediate this association. We emphasize that the use of CX3CL1 as a protective factor against PCa may provide new strategies for PCa prevention and care in the future.


Subject(s)
Chemokine CX3CL1 , Mendelian Randomization Analysis , Prostatic Neoplasms , Humans , Prostatic Neoplasms/blood , Prostatic Neoplasms/genetics , Male , Chemokine CX3CL1/blood , Chemokine CX3CL1/genetics
2.
Eat Weight Disord ; 29(1): 15, 2024 Feb 19.
Article in English | MEDLINE | ID: mdl-38372804

ABSTRACT

BACKGROUND: Many studies have covered the prevalence of obesity in different populations. However, studies on the prevalence and predictors of obesity among medical staff are lacking. The aim of our study is to investigate the prevalence of obesity among medical staff and to identify the related predictors. METHODS: Using a snowballing recruitment strategy in the form of an electronic questionnaire, a cross-sectional survey was conducted among 1201 medical staff from cooperative hospitals between January and March 2022. We designed a questionnaire to investigate the participants' demographic, lifestyle, diet, physical activity, and work status. RESULTS: The overall prevalence of obesity was 8.5%, with males (13.7%) having a greater incidence than females (5.7%) (p < 0.001). Multiple logistic regression analyses showed that alcohol drinking (OR, 2.34; 95% CI 1.23-4.42, p = 0.01), sugar-sweetened beverages consumed > 3/week (OR, 2.50; 95% CI 1.02-6.15, p = 0.046), and working a night shift > 1/week (OR, 2.17; 95% CI 1.02-4.61, p = 0.043) were independent predictive factors for obesity in men. For women, having midnight snack having midnight snack (OR, 2.93;95% CI 1.24-6.96, p = 0.015), good sleep quality (OR, 4.47; 95% CI 1.10-21.70, p = 0.038), and working a night shift > 1/week (OR, 3.62; 95% CI 1.73-7.57, p = 0.001) were independently associated with obesity. CONCLUSIONS: Obesity presented a low prevalence among medical staff. Alcohol drinking, drinking sugar-sweetened beverages > 3/week, and night shift > 1/week predicted a higher risk of obesity in males. In females, having midnight snack, good sleep quality, and night shift > 1/week were independently associated with obesity. LEVEL OF EVIDENCE: V, descriptive study.


Subject(s)
Medical Staff , Obesity , Male , Humans , Female , Cross-Sectional Studies , Pilot Projects , Obesity/epidemiology , China
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