Background: China has the highest number of new cancer cases and deaths worldwide, posing huge health and economic burdens to society and affected families. This study comprehensively analyzed secular trends of national cancer mortality statistics to inform future prevention and intervention programs in China. Methods: The annual estimate of overall cancer mortality and its major subtypes were derived from the National Health Commission (NHC). Joinpoint analysis was used to detect changes in trends, and we used age-period-cohort modeling to estimate cohort and period effects in Cancers between 1987 and 2020. Net drift (overall annual percentage change), local drift (annual percentage change in each age group), longitudinal age curves (expected longitudinal age-specific rate), and period (cohort) relative risks were calculated. Results: The age-standardized cancer mortality in urban China has shown a steady downward trend but has not decreased significantly in rural areas. Almost all cancer deaths in urban areas have shown a downward trend, except for colorectal cancer in men. Decreasing mortality from cancers in rural of the stomach, esophagus, liver, leukemia, and nasopharynx was observed, while lung, colorectal cancer female breast, and cervical cancer mortality increased. Birth cohort risks peaked in the cohorts born around 1920–1930 and tended to decline in successive cohorts for most cancers except for leukemia, lung cancer in rural, and breast and cervical cancer in females, whose relative risks were rising in the very recent cohorts. In addition, mortality rates for almost all types of cancer in older Chinese show an upward trend. Conclusions: Although the age-standardized overall cancer mortality rate has declined, and the urban-rural gap narrowed, the absolute cancer cases kept increasing due to the growing elderly population in China. The rising mortality related to lung, colorectal, female breast, and cervical cancer should receive higher priority in managing cancer burden and calls for targeted public health actions to reverse the trend.

Objective: To describe the secular trends of cause-specific mortality among adolescents aged 10 to 24 years from 2004 to 2019 and explore the association between mortality and economic status, education level as well as health investment. Methods: Mortality data of adolescents aged 10 to 24 years were obtained from the national disease surveillance points system. The age-standardized mortality rate (ASMR) was calculated by using the population data from the sixth national population census in 2010. GDP per capita, urbanization rate, illiteracy rate of the population over 15 years old, government education expenditure per capita, number of health service providers per 1000 people, and number of health beds per 1000 people were collected from China’s Economic and Social Big Data Research Platform. Age-period-cohort analysis was used to analyse the net age, period, and cohort effects of mortality among adolescents, while panel data regression was used to explore the association between mortality and economic status, education level as well as health investment. Results: Overall, the ASMR was 28.84 per 100,000 and the top five causes of mortality were road injuries, drowning, intentional self-harm and sequelae, leukaemia, and falls among adolescents aged 10 to 24 years in China in 2019. All-cause mortality declined with an annual percentage change of 4.02% (95% Confidence interval: 3.74% to 4.30%) from 2004 to 2019 yet with persistent differences across different demographic (gender and age) and geographical (urban-rural, and regional) subgroups. Notably, the ASMR for HIV/AIDS in males, lower respiratory infections in urban adolescents, and iron deficiency anaemia as well as cervical cancer in adolescents aged 20 to 24 years showed an increase over time. The multivariate panel data regression showed that the ASMR decreased by 5.18 (3.27, 7.08) per 100,000 for every increase in the number of health beds per 1000 population, but with insignificant association with GDP per capita and illiteracy rate in the total sample. Health beds investment was positively associated with ASMR at almost all subgroups except for adolescents aged 10 to 14 years; GDP per capita increase was helpful to males and rural adolescents while an increasing literacy rate was beneficial for females and adolescents aged 15 to 19 years. Conclusion: Given the persistent differences between subgroups, further investments including improving health services, especially increasing health bed investment, GDP per capita, and reducing the illiteracy rate and concern for adolescents in males, rural areas, the western regions, and aged 15 to 24 years are needed. Additionally, the increased burden of some diseases, such as HIV/AIDS, must be of further concern.

Objectives: This study aimed to explore whether the association of lifestyle behaviors with mental well-being differed by sports app use among college students, while also examining differences by sex. Methods: A total of 38,738 Chinese college students aged 19–22 years from a nationally cross-sectional survey in 2019 were included in this study. The Warwick Edinburgh Mental Wellbeing Scale was applied to evaluate mental well-being. Clustered lifestyle behaviors were defined as unfavorable (zero to two healthy factors), intermediate (three healthy factors), or favorable (four to five healthy factors). The use of sports apps was classified as dichotomized frequently (sometimes and often) and infrequently (never, rarely, and occasionally). Log-binomial regression was used to investigate the associations. Results: Intermediate (PR = 1.14, 95% CI: 1.11–1.18) and unfavorable (PR = 1.29, 95% CI: 1.26–1.33) lifestyles were positively associated with low mental well-being. Infrequently using sports apps was associated with low mental well-being (PR = 1.08, 95% CI: 1.06–1.10). The magnitude of the association between an unfavorable lifestyle and low mental well-being was smaller among girls who frequently used sports apps (PR = 1.22, 95% CI: 1.16–1.27) than among those who used them infrequently (PR = 1.31, 95% CI: 1.24–1.38). Conclusion: These findings suggest that integrating engagement with digital sports apps into campus health promotion strategies might help support mental well-being, especially for college students with multiple unhealthy lifestyle behaviors.