In recent decades, the number of adolescents and young adults with poor mental health has been increasing, particularly among students in tertiary institutions. This study investigates the physical activities, resilience, and mental health status of junior college students in Hong Kong. The questionnaire consisted of demographic characteristics, the Positive Mental Health Scale, the Brief Resilience Scale, and the Godin-Shephard Leisure-Time Physical Activity Questionnaire. Four hundred and sixteen students participated in the study. The results showed a moderate positive correlation (r = 0.485) between resilience and mental health, and a low positive correlation (r = 0.258) between resilience and physical activity. The one-way analysis of variance (ANOVA) with a post hoc test showed that arts students engaged in more physical activity than students from other disciplines. A multiple regression analysis was used to examine the predictors of a positive mental health status. The significant predictors are: resilience (β = 0.704; 95% CI = 0.575–0.833; P < 0.001), physical activity score (β = 0.032; 95% CI = 0.016–0.048; P < 0.001), the male gender (β = 1.035, 95% CI = 0.171–1.900; P < 0.05), and students’ enrollment in a health science discipline (β = 1.052, 95% CI = 0.175–1.930; P < 0.05). Preventive measures, such as strengthening resilience, a broad curriculum and taking note of the demographic and cognitive characteristics of students are essential for improving the mental health of freshmen in colleges.

Loneliness among older people has now become a serious public health issue. There have been few previous studies conducted among Chinese populations on the correlations between loneliness, self-rated health, and instrumental activities of daily living (IADL), and their association with demographic characteristics. In this study, data were collected using quota sampling through survey interviews. Older people living in representative districts were recruited. Of the participants, 60.1% rated their health as average and 58.1% showed a high level of loneliness. IADL and self-rated health (SRH) were found to be moderately positively correlated, with r = 0.357, p < 0.001. A low negative correlation was found between the level of loneliness and IADL, with r = −0.276; and SRH, with r = −0.288, p < 0.05. Ordinal Regression results showed that subjects with higher IADL scores (OR: 0.64, 95% CI: 0.39–1.05) were less lonely, while those with a less desirable economic status (OR: 3.34, 95% CI: 1.40–7.96) and living in the central business district were more likely to have a higher loneliness score (OR: 21.33, 95% CI: 4.81–95.41). It is essential to screen for loneliness, and interventions should be focused on improving social connections and support for older people to overcome their feelings of loneliness.

Evidence shows that university students, especially healthcare students, experienced considerable health impacts during COVID-19. This study examined Hong Kong general nursing students’ mental health and quality of life during the COVID-19 pandemic. An online questionnaire composed of personal demographics, the Fear of COVID-19 scale (FCV-19S), the Depression Anxiety Stress Scale short version (DASS21), and the World Health Organization Quality of Life-BREF (WHOQOL-BREF) was used for data collection in early 2021. Among 380 respondents, 170 (45%) did not attend clinical practicum during the pandemic. Students who did not participate in clinical training scored lower in FCV-19S but higher in WHOQOL-BREF than those who participated (p = 0.001 or p < 0.001). FCV-19S and WHOQOL-BREF were negatively correlated (r = −0.623 to −0.446, p < 0.001). Slight negative correlations were found between the FCV-19S and DASS-21 scores. Although there were no significant differences in DASS21 (p = 0.294–0.931) between these two student groups, there was a considerably high prevalence rate of depression (57.1%), anxiety (47.6%), and stress (39.5%). Hong Kong nursing students, especially those who attended clinical practicum during the pandemic, experienced substantial emotional and quality of life implications. Local universities are recommended to organize appropriate interventions to prepare and support nursing students’ wellbeing and health in coping with future disasters.

Antibiotic resistance is occurring widely throughout the world and is affecting people of all ages. Socioeconomic factors, education, use of antibiotics, knowledge of antibiotics, and antibiotic resistance were assessed in four cities in Asia, namely Hong Kong, Shanghai, Hangzhou, and Bangkok. A survey using cluster sampling was used in 2021 to collect data on 642 subjects. Hongkongers used less antibiotics and were knowledgeable about using antibiotics to treat diseases, while Shanghainese were knowledgeable about antibiotic resistance. The multi-linear regression model reported that respondents who lived in Hong Kong (β = 0.744 (95% CI: 0.36–1.128), Shanghai (β = 1.65 (95% CI: 1.267–2.032), and Hangzhou (β = 1.393 (95% CI: 0.011–1.775) (reference group: Bangkok), who had higher scores on antibiotics knowledge (β = 0.161 (95% CI: 0.112–0.21)), higher educational attainment (β = 0.46 (95% CI: 0.296–0.625)), and who were more likely to consult a doctor on using antibiotics (β = 1.102 (95% CI: 0.606–1.598)), were more likely to give correct answers about antibiotic resistance, p < 0.001. Older respondents were less likely to answer the items correctly (β = −0.194 (95% CI: −0.333–−0.055), p < 0.01. When educating the public on the proper use of antibiotics and antibiotic resistance, multiple strategies could be considered for people from all walks of life, as well as target different age groups.