The age of the population is shifting toward the elderly range, which may lead to an increased risk of mild cognitive impairment (MCI). The aims of this study are to evaluate the cognitive function in elderly people using the Montreal Cognitive Assessment (MoCA), to identify the relationship between cognitive function and different characteristics, and to evaluate the efficacy of the intervention after six months of cognitive training. In this study, we included 2886 subjects aged ≧60 years in the baseline survey, and 140 subjects with MCI who participated in the baseline survey were randomly divided into an intervention group (N = 70) and a control group (N = 70). The control group was not provided any intervention measures, and the intervention group was administered cognitive training. The education level, monthly income, sleep time, exercise time, reading times, and time spent engaging in community activities and performing housework were positively correlated with MoCA scores, but age was negatively correlated with MoCA scores. The total MoCA score of the intervention group increased from 19.77 ± 2.24 points to 21.09 ± 2.20 points after six months of cognitive training, but the score of the control group decreased from 20.41 ± 2.10 points to 19.17 ± 2.57 points. The two-way repeated-measures ANOVA revealed a very significant effect of the interaction between time and cognitive training on the total MoCA score. Seventeen participants in the intervention group improved to normal levels, and no participants progressed to dementia after six months of cognitive training. Thus, the efficacy of the intervention was statistically significant. Our study concludes that older age is associated with a cognitive decline. Factors that are more likely to protect against cognitive decline included a higher education level and monthly income, sufficient sleep time, regular physical exercise and reading, frequently engaging in community activities, and continuing to perform housework. Moreover, the cognitive training intervention is effective and may help to decrease the deterioration of cognitive function in patients with MCI, and the interaction between intervention time and cognitive training significantly improves cognitive function.

(1) Background: The home environment is a major source of Environmental Tobacco Smoke (ETS) exposure among children especially in early childhood. ETS exposure is an important health risk among children and can cause severe and chronic diseases, such as asthma, bronchitis, and premature death. However, ETS exposure at home has often been neglected in the Chinese families. Identification of factors that facilitate or otherwise hamper the adoption of home smoking ban will help in the design and implementation of evidence-based intervention programs. This study identifies factors correlated with home smoking bans in Chinese families with children. (2) Methods: A cross-sectional survey of parents living in Nanning city, Guangxi Province, China with at least one smoker and a child in the household was conducted between September, 2013 and January, 2014. A Chi-square test was used to compare categorical variables differences between the parents who had home smoking bans and those with no home smoking ban. Multiple logistic regression analyses were used to identify factors correlated with home smoking bans. (3) Results: 969 completed questionnaires were collected with a response rate of 92.29% (969/1050). Of the respondents (n = 969), 14.34% had complete home smoking bans. Factors that were associated with home smoking bans were: having no other smokers in the family (OR = 2.173), attaining education up to high school (OR = 2.471), believing that paternal smoking would increase the risk of lower respiratory tract illnesses (OR = 2.755), perceiving the fact that smoking cigarettes in the presence of the child will hurt the child’s health (OR = 1.547), believing that adopting a no smoking policy at home is very important (OR = 2.816), and being confident to prevent others to smoke at home (OR = 1.950). Additionally, parents who perceived difficulty in adopting a no smoking policy at home would not have a home smoking ban (OR = 0.523). (4) Conclusions: A home smoking ban is not widely adopted by families of hospitalized children in Guangxi Province, China. To protect the health of children, there is a need to develop and test interventions to promote home smoking bans. Factors identified as predictors of home smoking ban should be considered in the design of interventions.

The demand to use information and communications technology (ICT) in education and research has grown fast among researchers and educators working in global health. However, access to ICT resources and the capacity to use them in global health research remains limited among developing country faculty members. In order to address the global health needs and to design an ICT-related training course, we herein explored the Chinese health science faculty members’ perceptions and learning needs for ICT use. Nine focus groups discussions (FGDs) were conducted during December 2015 to March 2016, involving 63 faculty members working in areas of health sciences from six universities in China. All FGDs were audio recorded and analysed thematically. The findings suggest that the understandings of ICT were not clear among many researchers; some thought that the concept of ICT was too wide and ambiguous. Most participants were able to cite examples of ICT application in their research and teaching activities. Positive attitudes and high needs of ICT use and training were common among most participants. Recommendations for ICT training included customised training programmes focusing on a specific specialty, maintaining a balance between theories and practical applications, more emphasis on the application of ICT, and skills in finding the required information from the bulk information available in the internet. Suggestions regarding the format and offering of training included short training programmes, flexible timing, lectures with practicum opportunities, and free of charge or with very minimal cost to the participants. Two participants suggested the linking of ICT-related training courses with faculty members’ year-end assessment and promotion. This study among health sciences faculty members in China demonstrated a high level of need and interest in learning about ICT use in research and training. The results have important implications for the design and implementation of ICT-related educational programmes in China and other developing countries.

This study aimed to examine the association between constipation and mild cognitive impairment (MCI); and further elucidate the possible mechanisms involved. A cross-sectional study was conducted among community-dwelling elders (N = 789) in Nanning, China. Trained research staffs collected detailed information through questionnaires and physical examinations. A Bayesian network model was used to explore the hypothesized causal path. Synergistic effects of constipation with infrequent fruit consumption, inactive physical exercise, or history of stroke were observed in the risks of MCI occurrence. The Bayesian network model analyses showed 3 hypothesized causal-association paths leading to MCI occurrence. Among these, constipation, history of stroke, and years of schooling were directly related to the occurrence of MCI. Years of schooling indirectly affected MCI through infrequent fruit consumption and constipation; or through inactive physical exercises and history of stroke. This study demonstrates a direct association between constipation and increased risks of MCI.

Tobacco use has been implicated as an important factor for poor sleep quality. However, in most studies, the sleep quality of smokers was only assessed though a self-reported questionnaire, without measuring any internal biomarkers that reflect the levels of tobacco exposure. We examined the association of active and passive smoking with sleep quality, assessed smoking exposure using urinary 1-hydroxypyrene (1-HOP) as an internal biomarker, and further explored the relationship between 1-HOP and sleep quality. A cross-sectional survey was conducted in Liuzhou city, Guangxi, China. A total of 1787 male enterprise workers were enrolled. The smoking attribute data were collected by self-reported questionnaire, and individual sleep quality was evaluated through the Pittsburgh Sleep Quality Index (PSQI). The concentration of urinary 1-HOP was measured by high-performance liquid chromatography. Compared with non-smoking, active smoking and passive smoking were significantly associated with long sleep latency (odds ratio, OR=1.84, 95% confidence interval, CI=1.28-2.64; 1.45, 1.00-2.11, respectively), short sleep duration (OR=2.72, 95% CI=1.45-5.09; 1.94, 1.01-3.71, respectively), daytime dysfunction (OR=1.54, 95% CI=1.10-2.17; 1.44, 1.02-2.03, respectively), and overall poor sleep quality with PSQI total score >5 (OR=1.41, 95% CI=1.05-1.88; 1.34, 1.00-1.79, respectively). Compared with non-smokers, active smokers had higher urinary 1-OHP concentrations that were significant (p=0.004), while passive smokers had no significant difference in urinary 1-OHP concentration (p=0.344). The high concentration group was significantly associated with daytime dysfunction and overall poor sleep quality with PSQI total score >5 (OR = 1.73, 95% CI=1.06-2.81; 1.76, 1.18-2.63, respectively). Both active smoking and passive smoking are risk factors for poor sleep quality among Chinese male enterprise workers. Active smokers had significantly higher levels of urinary 1-OHP than non-smokers, and high concentration of 1-OHP was associated with daytime dysfunction and overall poor sleep quality.

Background: Information and communications technology (ICT) has been suggested as an important tool for improving global health education and building research capacity in developing countries. However, the existing curricula do not have adequate emphasis on global health research and training. This study was carried out to examine health sciences postgraduates’ attitudes and practices regarding curriculum for ICT use in global health research and training in China. Methods: A cross-sectional study was conducted among health sciences postgraduates from six universities in southern China, during December 2016 to March 2017. A self-administered online questionnaire was used to collect data through an online survey platform. Data were analyzed using SPSS for Windows 13.0. Results: A total of 1065 participants successfully completed the questionnaires. More than 90% of the students have not had any training about ICT, three quarters have not taken an online course, and 31% of the students do not use ICT in their current research. More than 65% thought that, in an ICT research training curriculum, it was important to learn: ICT utilization related knowledge, ICT research methods/resources, knowledge of databases, ways of data use and acquisition, and informatics search methods (ICT users compared to non-users were more likely to agree to these learning components (all p < 0.05)). Many of the respondents used or planned to use mobile phones (80%), Internet (59%), use computer and WeChat (> 40%), and QQ (a popular chat tool in China) (30%) as ICT tools in research activities. ICT users compared to non-users were more likely to consider using ICT and/or biomedical informatics methods in decision-support or support for information seeking, healthcare delivering, academic research, data gathering, and facilitating collaboration (all p < 0.05). Conclusions: The findings of this study showed that ICT utilization was very important to health sciences postgraduates for their research activities in China, but they lacked ICT-related training. The results suggested the need for specialized curriculum related to ICT use in global health research for health sciences postgraduates in China.