Objectives To assess the knowledge, attitude and practice (KAP) concerning healthcare-associated infections (HAIs) among healthcare givers and to identify the factors influencing KAP. Design This was a hospital-based, cross-sectional study. Setting Two public hospitals in Wuhan, central China. Participants Participants were recruited among healthcare workers (HCWs) of one general hospital and one children’s hospital in Wuhan city between 1 June and 30 September 2019. Primary and secondary outcome measures The outcomes were KAPs concerning HAIs. Results Data from 455 HCWs were included in the final data analysis. The mean scores of KAP and total KAP were 15.67±3.32, 25.00±2.75, 43.44±5.15 and 84.76±6.72, respectively. The following factors were significantly associated with the total KAP score concerning HAIs, explaining 61% of the variance (p<0.001): gender (β=2.36, 95% CI 1.11 to 4.40), age (β=6.65, 95% CI 5.07 to 7.74), position (β=7.02, 95% CI 3.88 to 8.45), type of employment (β=−1.08, 95% CI −2.08 to −0.07), with HAI education within last year (β=−2.98, 95% CI −4.23 to −1.72), with invasive operation authority (β=−4.22, 95% CI −5.46 to −2.99), antibacterial drug training (β=−4.38, 95% CI −5.45 to −3.31) and with antibacterial drug training and clinical consultation (β=−4.35, 95% CI −5.38 to −3.32). Conclusion The controllable factors identified in this study can be used by hospital managers to implement measures that improve KAP among HCWs. Moreover, these measures should be customised, based on uncontrollable factors to suit the specific characteristics of medical staff and to improve KAP. Training programmes should be designed for medical workers to increase their awareness of HAIs and to foster positive attitudes and practices.

Preventing Chronic Disease (PCD) is a peer-reviewed electronic journal established by the National Center for Chronic Disease Prevention and Health Promotion. PCD provides an open exchange of information and knowledge among researchers, practitioners, policy makers, and others who strive to improve the health of the public through chronic disease prevention.

Objective: To identify the relationship between obesity indicators and hypertension–diabetes comorbidity (HDC) among adults in central China. Design and setting: A cross-sectional study was conducted from 1 June 2015 to 30 September 2018 in 11 districts of Hubei Province, China. Participants: A total of 29 396 participants aged 18 years or above were enrolled in the study. 2083 subjects with missing data were excluded. Eventually, 25 356 participants were available for the present analysis. Main outcome measures: Data were subjected to univariable and multivariable logistic regression to examine the association between obesity indicators (body mass index (BMI), waist circumference (WC) and waist-to-height ratio (WHtR)) and HDC prevalence. Crude odds ratio and adjusted OR (AOR) with associated 95% CI were calculated. Results: Overall, 2.8% of the respondents had HDC. The odds of HDC prevalence increased with the BMI of the participants (18.5≤BMI (kg/m ² )≤23.9—1; 24≤BMI (kg/m ² )≤26.9—AOR: 5.66, 95% CI: 4.25 to 7.55; BMI (kg/m ² )≥27—AOR: 7.96, 95% CI: 5.83 to 10.87). The risk of HDC also increased with the WHtR of participants (WHtR≤P ₂₅ —1; P ₂₅ ≤WHtR≤P ₅₀ —AOR: 1.73, 95% CI: 1.10 to 2.71; P ₅₀ ≤WHtR≤P ₇₅ —AOR: 2.51, 95% CI: 1.60 to 3.92; WHtR≥P ₇₅ —AOR: 3.22, 95% CI: 2.01 to 5.16). Stratified analysis by gender showed that high BMI and WHtR were risk factors of HDC in males and females. However, the odds of HDC prevalence increased only when WHtR≥P ₇₅ in males, whereas the probability of HDC increased when WHtR≥ P ₂₅ in females. Conclusion: High BMI and WHtR can increase the risk of HDC among Chinese adults. Reasonable control of BMI and WHtR may be beneficial in preventing HDC. Females should focus on maintaining an optimal WHtR earlier.

Background: The COVID-19 is a public health issue all over the world. It is an unprecedented challenge for society. Frontline medical staff are at high risk of mental health problems due to the overwhelming workload, worry of infection, and inadequate protective instruments. The study is to investigate the psychological status of medical staff in a women and children’s hospital in non-epicenter of COVID-19 during the early stage of the COVID-19 outbreak. Methods: A total of 2,143 hospital medical staff participated in a cross-sectional online survey. Psychological response levels were assessed using the Psychological Questionnaire on Emergency Events in Public Health (PQEEPH), and mental health status was measured using the Generalized Anxiety Disorder-7 (GAD-7) scale. Results: Eligible responses were received from 1,890 (90.6%) women and 197 (9.4%) men. In total, 10.3% of respondents rated the psychological impact of the outbreak as moderate or severe, and 4% reported severe anxiety symptoms. Conclusions: Our findings indicated that the majority of the medical staff are in great level of mental health. The study demonstrates that females, the 31–40 age group, and those who have been widowed experienced greater levels of anxiety and therefore require more support. Furthermore, the cognition of medical workers might affect their emotional reactions. Measures to decrease anxiety during emergency outbreaks should therefore include communication strategies.

Background. In general, given the insufficient sample size, considerable literature has been found on single studies of diabetes and hypertension and few studies have been found on the coexistence of diabetes and hypertension (CDH) and its influencing factors with a large range of samples. This study aimed to establish a structural equation model for exploring the direct and indirect relationships amongst sociodemographic characteristics, lifestyle, obesity, and CDH amongst Chinese adults. Methods. A cross-sectional study was conducted in a representative sample of 25356 adults between June 1, 2015, and September 30, 2018, in Hubei province, China. Confirmatory factor analysis was initially conducted to test the latent variables. A structural equation model was then performed to analyse the association between latent variables and CDH. Results. The total prevalence of CDH was 2.8%. The model paths indicated that sociodemographic characteristics, lifestyle, and obesity were directly associated with CDH, and the effects were 0.187, 0.739, and 0.353, respectively. Sociodemographic characteristics and lifestyle were also indirectly associated with CDH, and the effects were 0.128 and 0.045, respectively. Lifestyle had the strongest effect on CDH (β = 0.784, ), followed by obesity (β = 0.353, ) and sociodemographic characteristics (β = 0.315, ). All paths of the model were significant ( ). Conclusion. CDH was significantly associated with sociodemographic characteristics, lifestyle, and obesity amongst Chinese adults. The dominant predictor of CDH was lifestyle. Targeting these results might develop lifestyle and weight loss intervention to prevent CDH according to the characteristics of the population.