s and help prevent skeletal muscle mass loss. Dementia is one of the greatest global health and social care challenges of the twenty-first century. The etiology and pathogenesis of Alzheimer's disease (AD) as the most common type of dementia remain unknown. In this study, a simple nomogram was drawn to predict the risk of AD in the elderly population. Nine variables affecting the risk of AD were obtained from 1099 elderly people through clinical data and questionnaires. Least Absolute Shrinkage Selection Operator (LASSO) regression analysis was used to select the best predictor variables, and multivariate logistic regression analysis was used to construct the prediction model. In this study, a graphic tool including 9 predictor variables (nomogram-see precise definition in the text) was drawn to predict the risk of AD in the elderly population. In addition, calibration diagram, receiver operating characteristic (ROC) curve and decision curve analysis (DCA) were used to verify the model. Six predictors namely sex, age, economic status, health status, lifestyle and genetic risk were identified by LASSO regression analysis of nine variables (body mass index, marital status and education level were excluded). The area under the ROC curve in the training set was 0.822, while that in the validation set was 0.801, suggesting that the model built with these 6 predictors showed moderate predictive ability. The DCA curve indicated that a nomogram could be applied clinically if the risk threshold was between 30 and 40% (30 to 42% in the validation set). The inclusion of sex, age, economic status, health status, lifestyle and genetic risk into the risk prediction nomogram could improve the ability of the prediction model to predict AD risk in the elderly patients.The inclusion of sex, age, economic status, health status, lifestyle and genetic risk into the risk prediction nomogram could improve the ability of the prediction model to predict AD risk in the elderly patients. Globally, millions of children are involved in child labour. However, low- and middle-income countries are mostly hit. This study examined the predictors of child labour among public secondary school students in the Enugu metropolis. This was a descriptive cross-sectional study of 332 junior secondary students attending public schools in Enugu metropolis, Nigeria. Multistage sampling technique was used to select the six secondary schools and the students that participated in the study. Data collection was done from September to October 2018. Pretested structured, interviewer-administered questionnaire was used for data collection. The questionnaire contained information on the sociodemographic variables, the kind of work done by the respondents and the number of working hours spent weekly. UNICEF's standard indicator for child labour was used to estimate the prevalence of child labour. Logistic regression was used to identify socioeconomic predictors of child labour. The prevalence of overall child labolabour. While the potential adverse outcomes of prenatal exposure to unhealthy lifestyle are widely evidenced, little is known about these exposures in the periconception period. We investigated the associations between lifestyle behaviours and adverse pregnancy outcomes with a unique distinction between preconceptional- and prenatal lifestyle behaviours. A secondary analysis took place within a prospective multicentre cohort study in the Netherlands, including 3,684 pregnant women. Baseline characteristics and preconceptional and first trimester lifestyle behaviours were assessed through a self-administered questionnaire in the first trimester. Adverse pregnancy outcomes (hypertensive disorders in pregnancy (HDP), small for gestational age (SGA), gestational diabetes (GDM) and spontaneous preterm birth (sPTB)) were reported by healthcare professionals. Data were collected between 2012 and 2014 and analysed using multivariate logistic regression. Women who are overweight, and especially obese, have the highest mass index (BMI) and initiating folic acid supplements preconceptionally may decrease the risk of adverse pregnancy outcomes. Therefore, intervening as early as the preconception period could benefit the health of future generations. Preconception care is an opportunity for detecting potential health risks in future parents and providing health behavior education to reduce morbidity and mortality for women and theiroffspring. Preconception care has been established in maternal and child health hospitals in Shanghai, China, which consists of health checkups, health education and counseling. This study investigated factors associated with the utilization of preconception care, and the role of preconception care on health behavior changes before conception among pregnant women and their partners. A cross-sectional study was conducted among pregnant women at three maternal and child health hospitals in Shanghai. The participants were invited to complete a self-administered questionnaire on the utilization of preconception care and health behavioral changes before conception. Of the 948 recruited pregnant women, less than half (42.2%) reported thatthey hadutilized preconception care before the current pregnancy. PHA-665752 purchase Unplanned pregnancy, unawe needed to explore barriers to utilizing preconception care services and understand the quality of the services. Strategies of promoting preconception care to expectant couples, especially to young and multipara women, should be developed to further improve the utilization of the services at the community level.Utilization of preconception care was demonstrated to be positively associated with preconception health behavior changes such as women taking folic acid supplements before pregnancy, their male partner stopping smoking and drinking before conception. Future studies are needed to explore barriers to utilizing preconception care services and understand the quality of the services. Strategies of promoting preconception care to expectant couples, especially to young and multipara women, should be developed to further improve the utilization of the services at the community level.