Background and Objectives Adverse donor reaction (ADR) could adversely impact the recruitment and retention of blood donors, but the evidence of effect of sleep quality on ADR is limited and controversial. The goal of this study was to explore the association between the sleep quality and ADR among college students in Wuhan. Materials and Methods The college student blood donors in Wuhan from March to May 2022 were recruited. Self‐compiled general information questionnaire and Pittsburgh sleep quality index (PSQI) were investigated by convenience sampling. Univariable and multivariable logistic regression analyses were used to estimate the association. Results Among 1014 participants included in this study, 63 were in the ADR group and 951 were in the non‐ADR group. Compared with the non‐ADR group, the PSQI scores of ADR group were higher (3.44 ± 1.81 vs. 2.78 ± 1.82, p < 0.01). The results of multivariable logistic regression analysis showed that after adjusting gender, body mass index, blood donation history and other potential confounding factors, higher PSQI scores were related to the occurrence of ADRs (odds ratio = 1.231, 95% confidence interval 1.075–1.405), that is, the worse the sleep quality, the more likely the ADRs will occur. Conclusion The long‐term poor sleep quality of college students is a risk factor for the occurrence of ADRs. It should be identified early before blood donation to reduce the incidence of ADRs and improve the safety and satisfaction of donors.
Objective: Body mass index (BMI), the most commonly used body composition assessing indice, has recently been challenged by two novel anthropometric indices, a body shape index (ABSI) and body roundness index (BRI), in arterial stiffness predicting capacity[1,2]. The purpose of this study was to detect and compare the different predictive capacities of the four anthropometric indices (ABSI, BRI, waist-hip ratio (WHR) and BMI) in predicting hypertensive target organ damages (HTODs). Design and method: Overall, 3077 community-dwelling elderly Chinese (age > 65 years, 1329 men and 1748 women) in northern Shanghai were enrolled prospectively from June 2014 to August 2019. ABSI and BRI were calculated with validated formula. HTODs were defined as three levels: (1) left ventricular hypertrophy (LVH), (2) arterial stiffness (AS) and lower limb atherosclerosis (LLA), (3) micro-albuminuria (MAU). Multivariate linear and logistic regression were performed to detect the relations between anthropometric indices and HTODs. Results: Spearman correlation analysis revealed that all anthropometric indices were correlated with HTODs indices (all P < 0.001). In multivariate logistic regression models, compared to the lowest quartiles, participants with the highest quartiles of ABSI, BRI and WHR all exhibited a significantly higher risk of LVH, AS and MAU independent of confounders and BMI (all P for trend < 0.01). Results of receiver operator characteristic (ROC) analysis performed within the female subgroup demonstrated that BRI and WHR were the better anthropometric indices in predicting HTODs compared to BMI. However, similar trend disappeared in the male subgroup. Further comparison analysis about the predictive priorities in the female subgroup were tested with stepwise logistic regression, after all anthropometric indices were put into models, only BRI stayed and was significantly associated higher prevalence of LVH (OR = 1.42, 95%CI 1.30∼1.55) and LLA (OR = 1.48, 95%CI 1.23∼1.77) together with WHR stayed to predict higher risks of AS (OR = 1.30, 95%CI 1.18∼1.43) and MAU (OR = 1.48, 95%CI 1.28∼1.72, all P < 0.01). Conclusions: Novel anthropometric indices, especially BRI and WHR, compared to the conventional indice BMI, have the superior capacities in predicting HTODs in the elderly female Chinese population.
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