Determinants of COVID-19 vaccination status and hesitancy among older adults in China.

Vaccination is the primary defense against severe acute respiratory syndrome coronavirus 2, especially among older adults and those with chronic conditions. Using a nationally representative sample of 12,900 participants from the fifth wave (2021-2022) of the China Health and Retirement Longitudinal Study (CHARLS), we examined the coronavirus disease 2019 (COVID-19) vaccination status and the determinants of vaccination hesitancy in Chinese adults aged 52 and older. By July/August 2022, 92.3% of the Chinese population aged 60 years and older had received at least one COVID-19 vaccination, 88.6% had completed the primary series and 72.4% had received a booster. Those aged 80 years and older had lower vaccination rates, with 71.9% and 46.7% completing the primary series and booster shots, respectively. These statistics represent the situation before China ended the Zero-COVID policy in November 2022 because vaccination stagnated between July/August and November 2022. Multivariate regression analysis revealed that belonging to the oldest age groups (individuals aged 70 years and older and especially those aged 80 years and older) as well as being female and unmarried, residing in urban areas, being functionally dependent and having chronic conditions meant that these individuals were less likely to receive COVID-19 vaccines. Our regression analysis results were corroborated by self-reported reasons for nonvaccination. Vaccination hesitancy probably contributed to excessive mortality among vulnerable populations after China ceased its Zero-COVID policy. Our study provides important lessons on how to balance containment efforts with vaccination and treatment measures, as well as highlighting the need to clarify the side effects and contraindications of vaccines early on.

Consumption and poverty of older Chinese: 2011-2020.

Based on five waves of CHARLS data from 2011 to 2020 with expenditure imputations, we estimate living standards and poverty rates among older Chinese and study factors associated with consumption and poverty. Our results indicate that in the 2010s, China's poverty profile among older people was no longer characterized by regional concentration, such as the case in the first decades following China's economic reforms. Rather, old-age poverty is dispersed and varies mainly by demographics. Rural-urban differences, low education, and older age are the main factors associated with poverty. In the past decade, people of these characteristics enjoyed substantially more reductions in poverty, but they remain chief predictors. After controlling for demographics, consumption grew by 72.9 %, and the poverty rate declined by 59.2 % from 2011 to 2020, revealing remarkable progress. By interacting marital status with sex and urban/rural residence, we identify gaps in older people's economic support and find that the never-married urban people, widowed and divorced women, especially divorced rural women are the most at risk for poverty. Our research implies that future poverty alleviation policies should have more precise targeting.

Nowcasting and forecasting the care needs of the older population in China: analysis of data from the China Health and Retirement Longitudinal Study (CHARLS).

BACKGROUND: An ageing population coupled with an increase in morbidity places a considerable burden on health and social care systems. The aim of our study was to estimate the trends in functional dependency and project future care needs for older people in China. METHODS: We analysed data from the China Health and Retirement Longitudinal Study, a nationally representative survey of a cohort of Chinese people (aged ≥45 years) from 150 counties or districts and 450 villages or urban communities across 28 provinces, who were selected by use of multistage stratified probability-proportionate-to-size sampling. The baseline survey was conducted in 2011 and follow-up surveys were conducted in 2013, 2015, 2018, and 2020. We excluded people younger than 60 years or people who had missing variables on dependency in the five follow-up interviews. Three dependency levels were determined on the basis of activities of daily living (ADLs) and instrumental activities of daily living (IADLs): any ADL items (level 1 dependency); any ADL items or difficulty cooking, shopping, or taking medications (level 2 dependency); and difficulty in any ADL or IADL items (level 3 dependency). The dependency rates were extrapolated to derive the number of people older than 60 years with dependency in China from 2011 to 2020. We used a regression model to project future changes and forecast the size of the older population with dependency between 2021 and 2030. FINDINGS: A total of 89 031 individuals across five waves completed the surveys, of whom 46 619 were eligible for inclusion. The prevalence of level 1 dependency among older Chinese adults declined from 11·7% (95% CI 10·6-12·8) in 2011 to 8·1% (7·5-8·7) in 2020. Level 2 and level 3 dependency also declined. The total number of older people requiring care in 2020 was 20·61 million (95% CI 19·01-22·20) with level 1 dependency, 36·33 million (34·27-38·40) with level 2 dependency, and 45·30 million (43·02-47·59) with level 3 dependency. Improved education, housing, and access to health care was associated with 41·84% of the decline in level 3 dependency prevalence between 2011 and 2020. By 2030, the projected dependency rates could decline to 8·04% for level 1 dependency, 13·28% for level 2 dependency, and 16·05% for level 3 dependency. Nonetheless, the cohort size will grow, resulting in more older Chinese people who need care (29·71 million [27·07-32·36] in level 1, 49·07 million [45·98-52·16] in level 2, and 59·32 million [55·94-62·70] in level 3) in 2030. By 2030, we estimate that 14·02 million more older Chinese people will need care than in 2020. INTERPRETATION: Rapid ageing of the population could offset the decline in dependency and result in a substantial increase in the population with complex care needs. Promoting healthy ageing and investing in an age-friendly environment are important in reducing care burdens in China. FUNDING: National Institute on Aging, Natural Science Foundation of China, China Medical Board. TRANSLATION: For the Chinese translation of the abstract see Supplementary Materials section.

COVID-19 non-vaccination among older adults in China: a nationwide survey based on the China Health and Retirement Longitudinal Study (CHARLS).

China has a lower rate of vaccination among older adults and those who have chronic conditions and functional disabilities. As China has recently ended the zero-COVID policy, understanding the factors behind low vaccination rates among these vulnerable populations can inform immediate policy priorities to save lives for China and offer lessons for the world at large. We used the fifth wave (2021-22) of the China Health and Retirement Longitudinal Study (CHARLS), which represented mainland Chinese 45 and older. Vaccination status was updated in the summer of 2022, reflecting the current situation because very few additional vaccinations were administered afterward. For those who were unvaccinated, self-reported reasons were recorded. Using regression analysis, we investigated the determinants of non-vaccination, including demographics, functional status, and chronic conditions. In addition, two-thirds of the respondents had their vaccination status recorded twice in 2021 and 2022, allowing us to examine changes in vaccination rates in the recent year, zeroing in on the effects of the government's most recent vaccination campaign. Finally, we corroborated the regression results using self-reported reasons for non-vaccination in both years. A total of 12900 participants were included in the analysis. By the summer of 2022, the weighted COVID-19 vaccination rate among older Chinese people (≥60 years old) was 92.3%, with 88.8% having completed the primary series and 72.7% having received boosters. Only 72.0% of the oldest-old (≥80 years old) had completed the primary series, and 47.1% had had boosters. Regression analysis showed that participants who were older, female, unmarried, registered with urban Hukou residence, functionally dependent, and comorbid with chronic conditions were less likely to receive COVID-19 vaccines. A significant increase in vaccination rates among ethnic minorities, older adults, rural residents, and those with chronic conditions and functional dependency was observed in the year after the winter of 2021 when the government started to push for universal vaccination. The self-reported reasons for non-vaccination in 2022 were contraindications (48%), advanced ages/frailty/health conditions (21%), problems in accessing vaccines (18%), concerns about side effects or efficacy (9%), and having never heard of COVID-19 vaccine (6%). Nevertheless, as China has ended the zero-COVID policy, many older people, especially the oldest and those with chronic conditions and disabilities, have not yet been fully vaccinated with the primary series or booster doses, exposing them to the danger of infection. Therefore, health authorities should immediately abandon the previous practice of refusing to vaccinate those with chronic conditions, change people's mistaken perceptions of contraindications and side effects, and improve access to vaccines. Most importantly, China should strengthen public trust in vaccines by making information transparent regarding the vaccine's protection rates and side effects.

Associations of long-term exposure to ambient nitrogen dioxide with indicators of diabetes and dyslipidemia in China: A nationwide analysis.

BACKGROUND: The associations between ambient NO2 and diabetes and dyslipidemia have been controversial, and data is especially lacking in developing countries. OBJECTIVE: This study aimed to assess the associations of long-term exposure to NO2 with diabetes and dyslipidemia in China. METHODS: We conducted a cross-sectional study including 13,013 participants from the China Health and Retirement Longitudinal Study (CHRLS). The annual average concentrations of NO2 were estimated based on the residential addresses of participants. We applied logistic regression models to evaluate the associations of NO2 with diabetes and dyslipidemia, and linear regression models to assess the associations with blood biomarkers. RESULTS: A total of 1933 diabetes cases (14.85%) and 1935 (14.87%) dyslipidemia cases were identified. Significant associations were observed between NO2 and risk of diabetes and dyslipidemia independent of PM2.5 and O3. For an interquartile range (IQR) increase in NO2 (12.39 µg/m3), we observed a 13% [odds ratio (OR): 1.13; 95% confidence interval (CI): 1.01, 1.26] increased risk of diabetes, 1.48% (95%CI: 0.51%, 2.46%) increase in glucose, 0.74% (95%CI: 0.19%, 1.29%) increase in glycosylated hemoglobin (HbA1c), 17% (OR: 1.17; 95% CI: 1.05, 1.31) increased risk of dyslipidemia, 4.62% (95%CI: 2.49%, 6.79%) increase in triglyceride, and a decrease of 2.96% (95%CI: 2.13%, 3.79%) in high-density lipoprotein. The associations of NO2 with glucose disorders were stronger among smokers. CONCLUSIONS: Our study indicated long-term exposure to NO2 might contribute to the development of diabetes and dyslipidemia, and the associations were potentially independent of O3 and PM2.5.

How Does Commute Time Affect Labor Supply in Urban China? Implications for Active Commuting.

This paper identifies the causal effect of commute time on labor supply in urban China and provides implications for the development of active commuting. Labor supply is measured by daily workhours, workdays per week and weekly workhours, and city average commute time is adopted as an instrumental variable to correct the endogenous problem of individual commute time. We find that in urban China, commute time does not have effect on daily labor supply but has negative effects on workdays per week and weekly labor supply. These results are different from those found in Germany and Spain, and are potentially related to the intense competition among workers in the labor market of China. Moreover, the effect of commute time on workdays per week is stronger for job changed workers. In addition, the effects of commute time on labor supply are not different between males and females. Finally, policy implications for active commuting are discussed.