Humans ; Vascular Neoplasms/pathology* ; Liver Neoplasms/pathology* ; Neoplasms, Vascular Tissue

Humans ; Carcinoma, Hepatocellular/surgery* ; Liver Neoplasms/pathology* ; Cholangiocarcinoma/pathology* ; Bile Ducts, Intrahepatic/pathology* ; Bile Duct Neoplasms/pathology*

Objective: To explore the relationship of family environment in childhood and adolescence and mental health in adulthood. Methods: A total of 791 subjects aged ≥25 years were selected through the Chinese National Twin Registry (CNTR). The short-form of Family Environment Scale-Chinese Version (FES-CV) was used to evaluate the family environment during childhood and adolescence in three dimensions: relationship, system maintenance and personal growth. The mental health status in adulthood was assessed with the Chinese version of 6-item Kessler Psychological Distress Scale (K6). The generalized linear mixed model was used to examine their relationship. Results: About 4.6% of the subjects reported general or worse mental health status. Compared with the subjects with good mental status, statistical difference was observed only in parenting way among twins (living together or not). After adjusting the potential confounders, such as age, sex, zygosity, education and lifestyle (smoking, drinking and physical activity), good family relationship and system maintenance had a positive effect on mental health, with the OR (95%CI) of 0.66 (0.51-0.87) and 0.70 (0.50-0.98) respectively. Furthermore, parenting way did not modify the effect of family environment on mental health status in adulthood (interaction: P>0.05). In each scale, scores of cohesion and organization were positively correlated with mental health, while the score of conflict was negatively correlated with the mental health. Conclusion: Good family relationship and system maintenance in childhood and adolescence had a positive impact on mental health in adulthood.
Adolescent ; Adult ; Child ; China ; Family Relations ; Female ; Humans ; Interpersonal Relations ; Male ; Mental Health ; Parenting

Objective: To estimate the cervical and breast cancer screening coverage and related factors among women aged 35-69 years who were in the National Cervical and Breast Screening Program, to provide evidence for improving cervical and breast cancer control and prevention strategy. Methods: Data used in this study were abstracted from the 2013 Chinese Chronic Diseases and Risk Factors Surveillance Program. A total of 66 130 women aged 35-64 years and 72 511 women aged 35-69 years were included for this study. Weighted prevalence, (with 95% confidence interval, CI) was calculated for complex sampling design. Rao-Scott χ(2) method was used to compare the screening coverage among subgroups. A random intercept equation which involved the logit-link function, was fitted under the following five levels: provincial, county, township, village and individual. Fix effects of all explanatory variables were converted into OR with 95%CI. Results: In 2013, 26.7% (95%CI: 24.6%-28.9%) of the 35-64 year-old women reported that they ever had been screened for cervical cancer and 22.5% (95% CI: 20.4%-24.6%) of the 35-69 year-olds had ever undergone breast cancer screening. Lower coverage was observed among women residing in rural and central or western China than those in urban or eastern China (P<0.000 1). The coverage among women aged 50 years or older was substantially lower than those aged 35-49 years. Those who were with low education level, unemployed, low household income and not covered by insurance, appeared fewer number on this cervical or breast cancer screening program (P<0.000 1). Women living in rural and western China were having less chance of receiving the breast cancer screening (P<0.05), but the difference was not statistically significant. Conclusion: It is essential to strengthen the community-based cervical and breast cancer screening programs, in order to increase the coverage. More attention should be paid to women aged 50 years or older, especially those socioeconomically disadvantaged ones.
Adult ; Aged ; Breast Neoplasms/prevention & control* ; China/epidemiology* ; Early Detection of Cancer/statistics & numerical data* ; Female ; Healthcare Disparities ; Humans ; Mammography/statistics & numerical data* ; Mass Screening/statistics & numerical data* ; Middle Aged ; Papanicolaou Test/statistics & numerical data* ; Prevalence ; Risk Factors ; Rural Population ; Socioeconomic Factors ; Uterine Cervical Neoplasms/prevention & control*