ObjectiveAdolescents' alcohol consumption has lifetime adverse physical and mental health effects. Family environment factors have a significant influence in shaping adolescents' beliefs and habits. We conducted the multicenter cross-sectional study aiming to investigate the association between family environment factors and adolescent drinking behavior in China.MethodsThe study investigated 27,762 middle school students from Beijing, Shanghai, Guangzhou, Jinan, Chengdu, and Harbin. A logistic regression model was used to explore the association between family environmental factors and adolescent drinking behavior. Participants were asked to self-report previous experiences of drinking and getting drunk to access their drinking status. Factors of family environment related to alcohol consumption included: parents' educational level, family economic status, family composition, the number of times parents drank alcohol in the past 30 days, and parents' attitudes toward their drinking behavior. The logistic regression model was used to adjust the demographic confounders, including gender, age, city, location, and smoking status, and to explore the association between family environmental factors and adolescent alcohol drinking behaviors.ResultsCompared with students whose parents prohibited drinking, students who were approved drinking were more likely to drink in this year (OR = 16.544, 95%CI:15.265–17.929, P < 0.001; Full adjustment: OR = 13.111, 95% CI: 12.031–14.288, P < 0.001), drink in this month (OR = 7.791, 95% CI: 7.077–8.565, P < 0.001; Full adjustment: OR = 6.010, 95% CI: 5.439–6.641, P < 0.001). In addition, Low family economic status, not living with the mother, parents' ambivalent attitudes toward their children's drinking and parental drinking were risk factors for drinking among middle school students.ConclusionThe family environment, especially parents' attitudes, is associated with students' drinking and drunken behavior. Mobilizing the power of parents may play a positive role in the effective prevention and control of adolescent drinking.

Gut microbiota (GM) dynamics during pregnancy vary among different populations and are affected by many factors, such as living environments and diet. This study aims to observe and evaluate the changes in the structure and function of the GM from the first to the third trimester of pregnancy in Chinese women, and to explore the main factors affecting the changes in intestinal microecology. Fifty-five Chinese pregnant women were recruited for this study and their fecal samples were collected during the first (P1), second (P2), and third trimesters (P3) of pregnancy. We exploited metagenomic sequencing to compare the composition and function of the GM in different pregnancy periods. Bioinformatic analysis revealed that there were differences in the composition of the GM among P1, P2, and P3, as indicated by the increase in α-diversity and β-diversity of the GM and the differences in the relative abundances of distinct bacterial phyla. Gestational diabetes mellitus (GDM) was the main factor (P < 0.05) that affected the changes in GM at various stages of pregnancy. There were also disparities in the structure of the GM between the GDM group and non-GDM group in the P1, P2, and P3. The GDM group exhibited increased abundances in Ruminococcus_gnavus, Akkermansia_muciniphila, Alistipes_shahii, Blautia_obeum, and Roseburia_intestinalis; while, the abundances of Bacteroides coprocola, Bacteroides plebeius, Erysipelatoclostridium ramosum, and Prevotella copri were increased in the non-GDM group. Three of the four species enriched in the non-GDM group manifestied significantly negative correlations with the insulin-signaling pathway and lipopolysaccharide biosynthesis (r ≤ −0.3, adjusted P < 0.05). In the GDM group, Bacteroides vulgatus and Ruminococcus gnavus were significantly and positively correlated with insulin signaling pathway and lipopolysaccharide biosynthesis (r ≤ −0.3, adjusted P < 0.05) among the species enriched from early pregnancy. Virtually all of the species enriched in P2 and P3 were positively correlated with steroid hormone biosynthesis. These results suggest a potential role for the GM in the development of GDM, enabling the potential prevention of GDM by targeting the GM.

Urination behaviours are the behaviours concerning the body's excretion of urine after sensing the volume of urine in the bladder 1 and include the volume of urine excreted, frequency of urination, urinary urgency, urine colour and place of urination. 2 A relationship has been identified between urination behaviours and health. 2 The kidney is the primary organ regulating urination behaviours. 3 Water balance is maintained through regulation of the dilution and concentration of urine. 3 The body can remove water, waste and toxins from the body through urination. Several urination behaviours can be identified as early warning signs of urinary system diseases and can also affect an individual's health and quality of life. 2 The functionality of the urinary system declines with age and is particularly low among senior citizens. 2,4 The prostate is located close to the urethra and the bladder. 5 A considerable number of

Drinking alcohol during adolescence has short-term and long-term effects on physical and mental health. At this stage, teenagers are greatly influenced by their schoolmates and friends. We conducted a multicenter cross-sectional study to investigate the association between school environment factors and adolescents’ drinking behavior in China. Using multistage stratified cluster sampling, the study investigated 27,762 middle school students from six cities in China. The logistic regression model was used to explore the association between the school environment and adolescent alcohol drinking behaviors after adjusting for confounders, including gender, age, city, location, and smoking status. Compared with students with none of their close friends drinking, students with more than half of their close friends drinking were more likely to drink in a year (OR = 20.148, 95% CI: 17.722–22.905, p < 0.001) and in a month (OR = 13.433, 95% CI: 11.779–15.319, p < 0.001). In addition, classmates’ drinking behaviors, friends’ persuasion, and attending parties were risk factors for adolescents’ drinking behavior, while the propaganda and regulations of banning drinking in school were protective factors. The school environment, especially friends drinking, is associated with students’ drinking behavior. It is necessary to mobilize the strength of schools and peers to strengthen the prevention and control of adolescent drinking.