China has the largest number of vaccinated population around the world. However, there has been few research on the prevalence and associated factors of vaccine hesitation among parents of preschool children. Therefore, we conducted this study to evaluate the status of vaccine hesitation and its associated factors among children’s parents. A cluster random sampling method was adopted to select six community health service centers in Shenzhen, and parents of preschool children who were immunized in the vaccination outpatient department of the selected community health centers were surveyed using a structured self-administered questionnaire. Vaccine hesitation was assessed by the Parent Attitudes about Childhood Vaccines (PACV) scale. A multiple linear regression analysis was used to assess the associated factors for vaccine hesitance among children's parents. A total of 1025 parents (response rate, 93.18%) filled out the questionnaires. The average score of vaccine hesitancy was 43.37 (SD = 10.34) points. 23.61% of parents wanted children to get all the recommended shots, 53.76% of them did not believe that many of the illnesses shots prevent were severe, and 75.41% of them could not guarantee the information they receive about shots. The results of multiple linear regression showed that the number of children in the family ( β = −0.93, 95% CI: −1.31 to 0.54), health status of the child ( β = 0.47, 95% CI: 0.07 to 0.87), education level of the parents (Father: β = −0.84, 95%CI: −1.37 to 0.31; Mother: = −1.59, 95%CI:−2.13 to −1.05), and annual family income ( β = 1.64, 95%CI: 1.13–2.16) were significantly associated with vaccine hesitation. The average score of parents' vaccine hesitation in Shenzhen was 43.37. The results showed that the number of children in the family, health status of the children, education level of the parents and annual family income were important factors associated with the parents' vaccine hesitation.

Purpose: Although a significant proportion of type 2 diabetes mellitus (T2DM) cases arose from normal-weight individuals, studies on indicators that can predict T2DM in normal-weight people are limited. Accordingly, this study aims to investigate the predictive value of obesity indices and triglyceride glucose related parameters (TyG-related parameters) in T2DM among normal-weight Chinese elderly. Methods: A total of 24,215 normal-weight Chinese elderly (age ≥ 60 years) [body mass index--BMI (18.5-23.9 kg/m 2 )] were included. Obesity indices and triglyceride glucose related parameters (TyG-related parameters) included waist circumference (WC), waist-to-height ratio (WHtR), visceral adiposity index (VAI), lipid accumulation product (LAP), and TyG-related parameters (TyG, TyG-BMI, TyG-WC, and TyG-WHtR). Multivariate logistic regression analysis was performed to examine the associations between obesity-and TyG-related indices and T2DM. The areas under the curve (AUC) of the receiver-operating characteristic (ROC) curve analyses were used to evaluate and compare the predictive value of the different indices. Results: The prevalence of T2DM was 14.2% in normal-weight individuals. Among the indices, TyG was significantly associated with T2DM among men and women, respectively (adjusted odds ratio--aOR 19.005; 95% CI 13.235–27.291) and (aOR 25.262; 95% CI 16.957–37.634). Compared with other indices, TyG had the highest AUC value for T2DM in men (AUC: 0.818, 95% CI 0.810–0.825) and women (AUC: 0.824, 95% CI 0.814–0.833). Conclusions: TyG is an effective marker and outperforms than other indices when predicting T2DM in the normal-weight Chinese elderly population. Level of evidence: Level V

目的 探讨老年人群血红蛋白浓度与代谢综合征(metabolic syndrome,MetS)及其组分的关系,为防治代谢综合征提供科学依据.方法 以2019年在深圳市宝安区进行健康体检的老年人为研究对象,收集体检对象基本信息、体格检查以及辅助检查的结果,将37741名研究对象按照血红蛋白四分位数分为四组,各组血红蛋白浓度范围分别为Q1(<125 g/L)、Q2(125～134 g/L)、Q3(135～144 g/L)、Q4(≥145 g/L),采用卡方检验、Logistic回归等方法,分析不同血红蛋白浓度与代谢综合征及其四个组分(肥胖、高血压、高血糖、血脂紊乱)的关系.结果 不同血红蛋白水平组别间血压、血糖、BMI、空腹甘油三酯、血清高密度脂蛋白HDL～C的差异均有统计学意义(P<0.01).回归模型分析表明,与以血红蛋白最低浓度组Q1为对照组,Q2、Q3、Q4的MetS、肥胖、血脂紊乱及高血压患病风险升高.结论 老年人血红蛋白水平升高会增加代谢综合征、肥胖、血脂紊乱及高血压的患病风险.在基层临床工作中,血红蛋白可能成为代谢综合征及相关组分潜在的预测指标.