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The modern online society requires everyone, especially children and young people, to learn how to use the Internet. Cyberbullying is one misuse that can be detrimental to the cyberbullied individuals’ mental health and lifestyle, and it often ends up with the victim becoming depressed, fearful of society, and in the worst cases, suicidal ideation. The aim of this study is to investigate the awareness, perception, and perpetration of cyberbullying by high school students and undergraduates to find ways to prevent cyberbullying in the future. For this cross-sectional study, data were collected in 2020 from 14 schools throughout Thailand and 4 universities in Chiang Mai, Thailand, using two-stage sampling. Chi-squared tests were used to compare differences between the groups. Of the 2,683 high school students, girls perceived cyberbullying more than boys (81.6% vs. 75.4%; p <0.001), with those from the later academic years being more aware of cyberbullying (p = 0.033) and more likely to conduct cyberbullying behavior (p = 0.027). Of the 721 undergraduates, women were more aware of cyberbullying than men (92.1% vs. 82.7%; p <0.001). The most common cause of cyberbullying was aiming to tease the target (67.6% of high school students vs. 82.5% of undergraduates). The most commonly cyberbullying victimization was sending mocking or rebuking messages (29.6% of high school students and 39.6% of undergraduates). The most popular solutions for cyberbullying were to avoid leaving a trace on social media and be with friends who accept who you are. Our findings show that most of the cyberbullying perpetrators did not consider that their actions would have serious consequences and only carried out cyberbullying because of wanting to tease their victims. This is useful information for the cyberbullying solution center, teachers, and parents to recognize how to make the students realize the effects of cyberbullying on the victims.

Radical hysterectomy is a recommended treatment for early-stage cervical cancer. However, the procedure is associated with significant morbidities resulting from the removal of the parametrium. Parametrial cancer invasion (PMI) is found in a minority of patients but the efficient system used to predict it is lacking. In this study, we develop a novel machine learning (ML)-based predictive model based on a random forest model (called iPMI) for the practical identification of PMI in women. Data of 1112 stage IA-IIA cervical cancer patients who underwent primary surgery were collected and considered as the training dataset, while data from an independent cohort of 116 consecutive patients were used as the independent test dataset. Based on these datasets, iPMI-Econ was then developed by using basic clinicopathological data available prior to surgery, while iPMI-Power was also introduced by adding pelvic node metastasis and uterine corpus invasion to the iPMI-Econ. Both 10-fold cross-validations and independent test results showed that iPMI-Power outperformed other well-known ML classifiers (e.g., logistic regression, decision tree, k-nearest neighbor, multi-layer perceptron, naive Bayes, support vector machine, and extreme gradient boosting). Upon comparison, it was found that iPMI-Power was effective and had a superior performance to other well-known ML classifiers in predicting PMI. It is anticipated that the proposed iPMI may serve as a cost-effective and rapid approach to guide important clinical decision-making.

Objective To compare survival outcomes, posttreatment complications, and quality of life (QoL) of early-stage cervical cancer patients with intermediate-risk factors between those who received adjuvant pelvic radiation and those without adjuvant treatment. Methods Stages IB–IIA cervical cancer patients classified as having intermediate-risk following primary radical surgery were included. After propensity score weighted adjustment, all baseline demographic and pathological characteristics of 108 women who received adjuvant radiation and 111 women who had no adjuvant treatment were compared. The primary outcomes were progression-free survival (PFS) and overall survival (OS). The secondary outcomes included treatment-related complications and QoL. Results Median follow-up time was 76.1 months in the adjuvant radiation group and 95.4 months in the observation group. The 5-year PFS (91.6% in the adjuvant radiation group and 88.4% in the observation group, p=0.42) and OS (90.1% in the adjuvant radiation group and 93.5% in the observation group, p=0.36) were not significantly different between the groups. There was no significant association between adjuvant treatment and overall recurrence/death in the Cox proportional hazard model. However, a substantial reduction in pelvic recurrence was observed in participants with adjuvant radiation (hazard ratio=0.15; 95% confidence interval=0.03–0.71). Grade 3/4 treatment-related morbidities and QoL scores were not significantly different between the groups. Conclusion Adjuvant radiation was associated with a lower risk of pelvic recurrence. However, its significant benefit in reducing overall recurrence and improving survival in early-stage cervical cancer patients with intermediate-risk factors could not be demonstrated.

Background In 2014, the Thai government launched a free-of-charge long-acting reversible contraception (LARC) program for Thai female adolescents. However, its acceptance had not been reported. Therefore, this study aimed to describe contraceptive use among women of reproductive age before and after the program was implemented. Methods This retrospective cross-sectional study was carried out from the medical records of 9000 women of reproductive age, who attended the Family Planning Clinic at Maharaj Nakorn Chiang Mai Hospital between 2009 and 2018. The Chi-square test was used to compare the contraceptive methods administered before and after the program was implemented, and binary logistic regression was used to find the factors associated with implant use after completion of the program. Results Depot medroxy progesterone acetate (DMPA) injection was the most popular contraceptive method used among 40.9% of the women. The rates of subdermal implant use were increased significantly after the program was implemented (2.3–9.3%, p < 0.001). Implant use for adolescents aged less than 20 years increased from 2.6% to 56.4%, while DMPA was the most popular method used among adult women at 36.4%. Factors associated significantly with implant use after implement of the program included age of less than 20 years (aOR = 4.17 (CI: 1.84–9.44); p = 0.001) and nulliparity (aOR = 8.55 (CI: 3.77–19.39); p < 0.001). Conclusion This study showed a significant increase in contraceptive implant use after the free-LARC program for adolescents had been applied. Statement of implications Contraceptive implant is the most effective hormonal reversible contraception. Its use rate is low among all age groups, but increased clearly after the free-of-charge program was applied for adolescents.