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Background: Parental migration is most an important factor affecting children's behaviors. Few studies have addressed the association between parental migration and children's smoking behavior in China. This study aims to estimate the current smoking prevalence among children, evaluate the association of parental migration and the smoking behavior of children and identify factors associated with smoking behavior among left-behind children (LBC)., Methods: A cross-sectional study was conducted in 6 cities in Anhui province during July and August, 2012. All participants were interviewed face-to-face using a standardized questionnaire. Only children 10 to 14 years old that live in rural villages for at least 6 months during the previous year were included in the study., Results: A total of 1343 children met the sampling criteria and participated in the study. Of these, 56 % are LBC and 44 % live with both parents. The average rate of smoking is 3.4 %. The rate of smoking is statistically higher for LBC with both parents out (rate = 6.1 %; OR = 5.59, P < 0.001) than for children living with both parents (1.4 %). Similarly, the rate of LBC with father home only (rate = 5.0 %; OR = 5.60, P = 0.005) is also statistically higher than for children living with both parents when controlling other variables. Factors affecting the smoking behavior of LBC, include gender (i.e., boys), (perceived) school performance and primary caregiver., Conclusions: Parental migration is associated with a significant increase in smoking behavior among children. Intervention studies that target LBC would help to develop strategies to reduce smoking among rural children. Gender-specific strategies and anti-smoking education also appears to be needed to reduce tobacco use among rural LBC.

Background: In spite of progress in diagnostics and treatment of Hepatocellular Carcinoma (HCC), its prognosis remains poor, and improved treatment strategies for HCC require detailed understanding of the underlying mechanism. In this investigation we studied the role of Up-frameshift 1 (UPF1) in the tumorigenesis of HCC., Methods: We determined the expression level of UPF1 in HCC tissues with quantitative real-time PCR and western blotting and then studied its clinical significance. Sodium bisulfite sequencing was used to investigate the regulation of UPF1. We explored the biological significance of UPF1 with gain-and-loss-of-function analyses both in vitro and in vivo. The relationship between UPF1 and SMAD7 was also investigated by western blotting and immunofluorescence., Results: A great downregulation of UPF1 due to promoter hypermethylation was observed in tumor tissues compared to their adjacent normal tissues. Meanwhile, patients with low UPF1 expression have significantly poorer prognosis than those with high expression. Functionally, UPF1 regulated HCC tumorigenesis both in vitro and in vivo. Moreover, the decreased UPF1 level in HCC reduces NMD efficiency and leads to up-regulation of Smad7, then affects the TGF-β pathway., Conclusion: Our findings revealed that UPF1 is a potential tumor suppressive gene and may be a potential therapeutic target for HCC.

Background: Empty-nest elderly refers to those elderly with no children or whose children have already left home. Few studies have focused on healthcare service use among empty-nest seniors, and no studies have identified the prevalence and profiles of non-use of healthcare services among empty-nest elderly. The purpose of this study is to compare the prevalence of non-use of healthcare services between empty-nest and non-empty-nest elderly and identify risk factors for the non-use of healthcare services among empty-nest seniors., Methods: Four thousand four hundred sixty nine seniors (60 years and above) were draw from a cross-sectional study conducted in three urban districts and three rural counties of Shandong Province in China. Non-visiting within the past 2 weeks and non-hospitalization in previous year are used to measure non-use of healthcare services. Chi-square test is used to compare the prevalence of non-use between empty-nesters and non-empty-nesters. Multivariate logistic regression analysis is employed to identify the risk factors of non-use among empty-nest seniors., Results: Of 4469 respondents, 2667 (59.7%) are empty-nesters. Overall, 35.5% of the participants had non-visiting and 34.5% had non-hospitalization. Non-visiting rate among empty-nest elderly (37.7%) is significantly higher than that among non-empty-nest ones (32.7%) (P = 0.008). Non-hospitalization rate among empty-nesters (36.1%) is slightly higher than that among non-empty-nesters (31.6%) (P = 0.166). Financial difficulty is the leading cause for both non-visiting and non-hospitalization of the participants, and it exerts a larger negative effect on access to healthcare for empty-nest elderly than non-empty-nest ones. Both non-visiting and non-hospitalization among empty-nest seniors are independently associated with low-income households, health insurance status and non-communicable chronic diseases. The non-visiting rate is also found to be higher among the empty-nesters with lower education and those from rural areas., Conclusions: Our findings indicate that empty-nest seniors have higher non-use rate of healthcare services than non-empty-nest ones. Financial difficulty is the leading cause of non-use of health services. Healthcare policies should be developed or modified to make them more pro-poor and also pro-empty-nested.

Diabetic kidney disease is the leading cause of end-stage renal disease in developed and developing countries. Microalbuminuria is the gold standard for detection and prediction of diabetic kidney disease and cardiovascular risk disease in clinical practice. However, microalbuminuria has several limitations, such as lower sensitive, larger variability. It is urgent to explore higher sensitivity and specificity for earlier detection of diabetic kidney disease and more accurate prediction of the progression to end stage renal disease. We reviewed some new and important urinary biomarkers, such as: transferrin, immunoglobulin G, immunoglobulin M, Cystanic C, podocytes, type IV collagen, 8-oxo-7, 8-dihydro-2'-deoxyguanosine, ceruloplasmin, monocyte chemoattractant protein-1 and so on. We need good quality, long-term, large longitudinal trials to validate published biomarkers and find new biomarkers, considering biomarkers reviewed here are from small cross-sectional studies.