ObjectivesTo explore the prevalence of primary dysmenorrhea (PD), the characteristics of PD and self-care strategies for managing PD among Chinese college girls.DesignCross-sectional study.SettingChangsha, China.ParticipantsA total of 2555 college girls were recruited using multistage cluster random sampling.Outcome measuresA self-report questionnaire was used to measure sociodemographic information, characteristics of PD and self-care strategies for managing PD. Additionally, a Visual Analogue Scale was used to measure pain severity.ResultsOf the 2555 girls, 1306 had experienced PD, representing a 51.1% prevalence. In addition, the prevalence rates of mild, moderate and severe pain in PD were 18.1%, 27.7% and 5.4%, respectively. The most common symptoms associated with PD were cramps (96.9%), weakness (70.0%), backache (65.1%), facial blemishes (55.3%) and irritability (55.3%). Commonly used self-care strategies for managing PD comprised reducing physical activity (94.6%), keeping warm (84.6%), communicating dysmenorrhea with friends or classmates (79.0%), drinking warm beverages (75.7%) and avoiding cold drinks and foods (74.2%). In addition, only 34.8% self-medicated with Western medicine (15.6%), traditional Chinese medicine (8.6%), or both (10.6%). Medical advice was sought by 27.4% of subjects from a Western medical doctor (10.3%), a doctor of traditional Chinese medicine (13.6%), or both (3.5%). Girls who had greater pain severity were more likely to be self-medicated (OR=7.01; 95% CI 4.50 to 10.91), use complementary therapies (OR=2.64; 95% CI 1.70 to 4.10) and seek medical advice (OR=5.93; 95% CI 3.80 to 9.24).ConclusionsPD is highly prevalent among Chinese college girls, with a high burden of symptoms. In addition, these girls are most likely to change their lifestyle, communicate dysmenorrhea with friends or mothers, use heat therapy and engage in self-talk, but less likely to self-medicate or seek medical advice for managing PD.

To address the gap, that is, few studies have explored the influence of the participants’ interactions with one another during construction quality supervision, this paper proposes a system dynamics model based on evolutionary game theory to describe the complex and dynamic interactions among tripartite stakeholders in China, including the project owner (PO), construction supervising engineer (CSE), and construction contractor (CC). First, the replicated dynamic equation set is established in terms of expense targets. Second, the equilibrium solutions of the equation set are obtained to test strategy options. The trends of system fluctuations caused by penalty and reward changes are also analyzed. Finally, the stability of the proposed model is improved by integrating a dynamic penalty–reward scenario into the evolutionary strategy of the PO. Simulation results show that: 1) the evolutionary stable strategy does not exist in initial interactions, 2) the degrees of penalty and reward considerably affect the CC’s rate variable, and 3) the dynamic penalty–reward scenario could effectively improve the stability of the proposed model. The unsteadiness of the quality supervision system and the stability control scenario could help in understanding the impact of interactions among stakeholders and provide suggestions for optimizing quality supervision procedures.

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To drive high-quality omics translational research using The Cancer Genome Atlas (TCGA) data, a TCGA Pan-Cancer Clinical Data Resource was proposed. However, there is an out-of-step issue between clinical outcomes and the omics data of TCGA for skin cutaneous melanoma (SKCM), due to the majority of metastatic samples. In clinical cases, the survival time started from the initial SKCM diagnosis, while the omics data were characterized at TCGA sampling. This study aimed to address this issue by proposing an observed survival interval (OBS), which was defined as the time interval from TCGA sampling to patient death or last follow-up. We compared the OBS with the usual recommended overall survival (OS) by associating them with both clinical data and microRNA sequencing data of TCGA-SKCM. We found that the OS of primary SKCM was significantly shorter than that of metastatic SKCM, while the opposite happened if OBS was compared. OS was associated with the pathological stage of both primary and metastatic SKCM, while OBS was associated with the pathological stage of primary SKCM but not that of metastatic SKCM. Five previously cross-validated survival-associated microRNAs were found to be associated with the OBS rather than OS in metastatic SKCM. Thus, the OBS was more appropriate for associating microRNA-omics data of TCGA-SKCM than OS, and it is a timely supplement to TCGA Pan-Cancer Clinical Data Resource.

Unsafe behavior is a critical factor leading to construction accidents. Despite numerous studies supporting this viewpoint, the process by which accidents are influenced by construction workers’ unsafe behaviors and the extent to which unsafe behaviors are involved in this process remain poorly discussed. Therefore, this paper selects cases from Chinese building construction accidents to explore the probabilistic transmission paths from unsafe behaviors to accidents using a Bayesian network. First, a list of unsafe behaviors is constructed based on safety standards and operating procedures. Second, several chains of unsafe behaviors are extracted from 287 accident cases within four types (fall, collapse, struck-by and lifting) to form a Bayesian network model. Finally, two accidents are specifically analyzed to verify the rationality of the proposed model through forward reasoning. Additionally, critical groups of unsafe behaviors leading to the four types of accidents are identified through backward reasoning. The results show the following: (i) The time sequence of unsafe behaviors in a chain does not affect the final posterior probability of an accident, but the accident attribute strength of an unsafe behavior, affects the growth rate of the posterior probability of an accident. (ii) The four critical groups of unsafe behaviors leading to fall, collapse, struck-by, and lifting are identified. This study is of theoretical and practical significance for on-site behavioral management and accident prevention.

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