Introduction: Ovarian cancer is considered the most lethal gynecologic malignancy because it is difficult to diagnose in its early stages. Ovarian malignancy prediction models may be useful in discriminating between benign and malignant masses, allowing for accurate and timely referral as well as proper therapeutic care Objective: To evaluate the diagnostic performance of the four ovarian prediction models: Risk of Malignancy Index‑4 (RMI‑4), Risk of Ovarian Malignancy Algorithm (ROMA), Copenhagen Index (CPH‑I), and International Ovarian Tumor Analysis (IOTA)‑Assessment of Different NEoplasias in the AdneXa (ADNEX) in identifying malignant and benign ovarian masses Materials and Methods: This was a retrospective, cross‑sectional, analytical diagnostic study in a tertiary hospital between January 2017 and December 2020. Receiver operating characteristic (ROC) curves, area under the curves (AUCs), sensitivities, specificities, positive and negative predictive values, and positive and negative likelihood ratios were used to assess the diagnostic performance of the prediction models. Results: We analyzed a total of 248 patients. One hundred and sixty‑one (65%) had benign tumors, 28 (11%) had borderline, and 59 (24%) had malignant tumors. The AUCs of all models were all above 90%, but when compared to the other models, CPH‑I had the best estimate. RMI‑4 had the highest sensitivity (98.3%) in diagnosing malignancy. For appropriately diagnosing benign disease, the IOTA‑ADNEX model exhibited the highest specificity (92.1%). Overall, RMI‑4 had the lowest diagnostic accuracy (74.6%), whereas IOTA‑ADNEX had the greatest (93.2%). Conclusion The four malignancy prediction models in this study were all useful tools in discriminating between benign and malignant ovarian tumors. IOTA‑ADNEX, CPH‑I, and ROMA all demonstrated overlapping diagnostic performances indicating that they are equal in that regard. In terms of sensitivity in predicting malignancy, RMI‑4 was the most sensitive. CPH‑I is the predictor with the best overall estimate. Lastly, IOTA‑ADNEX was the most specific, and displayed highest diagnostic accuracy among the four
Ovarian Neoplasms ; Roma ; Humans ; Female

INTRODUCTION: Haze is a recurrent problem in Southeast Asia. Exposure to haze is linked to ophthalmic, respiratory and cardiovascular diseases, and mortality. In this study, we investigated the role of demographic factors, knowledge and perceived risk in influencing protective behaviours during the 2013 haze in Singapore. METHODS: We evaluated 696 adults in a cross-sectional study. Participants were sampled via a 2-stage simple random sampling without replacement from a large residential district in Singapore in 2015. The questionnaire measured the participant's knowledge, perceived risk and behaviours during the Southeast Asian haze crisis in 2013. Reliability and validity of the questionnaire were assessed using comparative fit index (≥0.96) and root mean square error of approximation (≤0.05). We performed structural equation modelling to examine the relationship between the hypothesised factors and protective behaviours. RESULTS: More than 95% of the individuals engaged in at least 1 form of protective behaviour. Knowledge was strongly associated with protective behaviours via direct effect (β=0.45, 95% CI 0.19-0.69, CONCLUSION Knowledge was associated with protective behaviours, suggesting the importance of public education. Efforts should target those of lower education level and smokers. The wearing of N95 masks correlates with uptake of other protective behaviours.
Adult ; Asia, Southeastern ; Cross-Sectional Studies ; Ethnic Groups ; Humans ; Minority Groups ; Reproducibility of Results ; Singapore/epidemiology*

Asian Continental Ancestry Group ; BRCA1 Protein/genetics* ; Breast Neoplasms/surgery* ; China ; Female ; Genetic Testing ; Humans ; Mastectomy

Objective: This study was aimed at examining the trends and correlates of physical activity (PA) and sedentary behaviors among Chinese children. Methods: A total of 4,341 subjects (6,936 observations) aged 6-17 years who participated in the China Health and Nutrition Survey (2004-2015) were included. Of the subjects, 41% participated in the survey twice or more. Random-effects ordinal regression models and repeated-measures mixed-effects models were used to examine the PA trends. Quantile regression models were applied to examine the factors influencing PA and sedentary behaviors. Results: From 2004 to 2015, the prevalence of physical inactivity among Chinese children aged 6-17 years increased by 5.5% [odds ratio ( Conclusions A declining PA trend among Chinese children aged 6-17 years was observed from 2004 to 2015, and certain subgroups and geographical areas are at higher risk of physical inactivity.
Adolescent ; Asian Continental Ancestry Group/statistics & numerical data* ; Child ; Child Behavior/ethnology* ; China/epidemiology* ; Exercise ; Female ; Humans ; Male ; Nutrition Surveys ; Regression Analysis ; Sedentary Behavior/ethnology*

Objective: This study aims to explore trends in sedentary behavior among Chinese children aged 6-17 years per demographic and social characteristics. Methods: A total of 4,341 children aged 6-17 years who participated in the Results: From 2004 to 2015, sedentary time among children aged 6-17 years increased from 23.9 ± 0.6 h/week to 25.7 ± 0.6 h/week ( Conclusions Sedentary time among Chinese children aged 6-17 years showed an upward trend from 2004 to 2015, especially among children residing in rural areas and regions with low urbanization levels.
Adolescent ; Asian Continental Ancestry Group ; Child ; China ; Female ; Health Surveys ; Humans ; Male ; Sedentary Behavior ; Socioeconomic Factors ; Urbanization

Altitude ; China ; Ethnic Groups ; Hemoglobins ; Humans ; Microcirculation

Asian Continental Ancestry Group ; Blood Coagulation Disorders/therapy* ; China ; Consensus ; Hemorrhage ; Humans

Asian Continental Ancestry Group ; Chemical and Drug Induced Liver Injury/etiology* ; China ; Consensus ; Hematologic Diseases ; Humans

Asian Continental Ancestry Group ; China ; Consensus ; Hematopoietic Stem Cell Transplantation/adverse effects* ; Humans ; Transplantation Conditioning

Hypertension is a major problem of public health that endangers the health of the oldest old. However, the current guidelines for hypertension management do not uniformly diagnose hypertension among the oldest old, nor recommend a normal blood pressure range, which is not convictive enough to support the decision making to the prevention of blood pressure-related adverse events. This guideline gives guiding opinions on optimal blood pressure range for the Chinese oldest old, which applies to the staff of medical and health institutions at all levels nationwide to evaluate the blood pressure levels of the oldest old. It includes the sections of general principles, methods and standards of blood pressure evaluation, measurement conditions, specifications of blood pressure measurement, implementation approaches, etc. The guideline has important directive significance for improving the blood pressure management and decision-making level of the Chinese oldest old.
Aged, 80 and over ; Asian Continental Ancestry Group ; Blood Pressure ; Blood Pressure Determination ; China ; Humans ; Hypertension/prevention & control*