Socioeconomic inequalities in dementia burden related to high body mass index, 2005-2018: findings from 1.25 million Chinese adults.

Background: Dementia has become a major public health concern worldwide, but comprehensive assessments of dementia burden attributable to high body mass index (BMI) in China have not been done. Methods: We used a temporal-spatial Bayesian hierarchical model to estimated BMI levels based on 1.25 million Chinese. We estimated dementia burden attributable to high BMI by age, sex, year, and socioeconomic development in terms of deaths and years of life lost (YLLs) and assessed the effect of population ageing. Findings: The average age-standardised BMI was 24.58 kg/m2 and 24.15 kg/m2 for men and women in 2018, respectively. 12,901 (95% UI, 10,617-15,420) dementia deaths were attributable to high BMI in China in 2018, with 5417 deaths from man and 7421 deaths from woman. The attributable age-standardised YLL rates for dementia increased 27% from 2005 to 2018. The attributable age-standardised mortality rates increased with human development index. People aged 80 years and older had the highest attributable mortality rate, and the rate decreased with decreasing age. Population ageing was an important component of the increase in dementia death. Interpretation: The rapid increase and large inequality highlighted the urgent need for evidence-based policies and interventions. We therefore call for establishing stronger anti-dementia strategies to promote the healthy ageing. Funding: China National Key Research and Development Program, China National Science & Technology Pillar Program, and National Health Commission of the People's Republic of China.

Rapid increasing burden of diabetes and cardiovascular disease caused by high body mass index in 1.25 million Chinese adults, 2005-2018.

BACKGROUND: Temporal trends and geographical variations in disease burden for diabetes mellitus (DM) and cardiovascular disease (CVD) attributable to high body mass index (BMI) in China have not been fully elucidated. METHODS: We estimated deaths and years of life lost (YLLs) for DM and CVD attributable to high BMI by age, sex, year, and region from 2005 to 2018 based on pooled data of 1.25 million adults. FINDINGS: Approximately 497,430 (95% uncertainty interval [UI], 470,520-525,720) deaths for DM and CVD were attributable to high BMI in China in 2018, with 453,750 deaths from CVD and 43,700 deaths from DM. Between 2005 and 2018, there was a 17.35% increase in age-standardized mortality rate for DM and CVD attributable to high BMI. The high BMI-related DM and CVD YLL rates increased from 127.46 (95% UI 108.70-148.62) per 100,000 people aged 20-24 years to 5,735.54 (95% UI 4,844.16-6,713.53) per 100,000 people aged ≥80 years, respectively. The highest age-standardized mortality rate for high BMI-related DM and CVD in northeast, northwest, and circum-Bohai Sea regions of China. CONCLUSION: The disease burden for DM and CVD attributable to high BMI increased substantially between 2005 and 2018. Urgent measures are required at both national and regional levels for resource mobilization to slow the growing burden. FUNDING: The work was supported by the National Key Research and Development Program of China, China National Science & Technology Pillar Program, and National Health Commission of the People's Republic of China.

Research on Influencing Factors and Dimensions of Health Literacy in Different Age Groups: Before and After the COVID-19 Era in Chongqing, China.

Background: Understanding the levels of health literacy among different groups is essential for better public health interventions targeting specific subgroups of the population. Additionally, this article explores the prevalence and influencing factors of the health literacy levels of different age groups during the COVID-19 epidemic. Methods: Multistage stratified cluster random sampling and the Probability Proportion to Size (PPS) method were used to select permanent residents aged 15-69 in Chongqing (54,706) for the questionnaire survey. The survey period is from July 2019 and July 2020. Single-factor analysis and logistic regression models were used to study the relationship between demographics, socioeconomic factors, other independent covariates, and health literacy. Results: The health literacy levels of residents declined with age, and there were significant differences in health literacy levels between age groups (χ2 = 3332.884, P < 0.05). As far as the factors affecting health literacy level are concerned, high education and high income are the protective factors for health literacy level for residents of all ages. For adolescents (OR = 1.383, 95% CI: 1.217-1.571), young adults (OR = 1.232, 95% CI = 1.117-1.358), and middle-aged people (OR = 1.096, 95% CI = 1.017-1.182), residence in rural areas was a protective factor. In terms of the dimensions of health literacy, in particular, elderly health literacy in 2020 in Scientific Health Concepts, Safety and First Aid, Basic Medical Care decreased significantly compared with 2019. Conclusions: For adolescents, young adults, middle-aged people, to solve the problem of urban and rural health quality gap, we should not only use the geographical division, but also consider the social population and socio-economic differences. For the elderly, the following four dimensions of health literacy need to be paid more attention than those of other age: Basic Knowledge and Concepts, Scientific Health Concepts, Safety and First Aid, and Basic Medical Care. A lack of knowledge on the prevention and treatment of chronic diseases is the main reason for the recent decline in health literacy. And the health literacy among residents in major public health emergencies is needed.