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

Changes in Infectious Disease-Specific Health Literacy in the Post-COVID-19 Pandemic Period: Two-Round Cross-Sectional Survey Study

Background

Infectious disease-specific health literacy (IDSHL) is a crucial factor in the development of infectious diseases. It plays a significant role not only in mitigating the resurgence of infectious diseases but also in effectively averting the emergence of novel infections such as COVID-19. During the 3 years of the COVID-19 pandemic, China primarily adopted nonpharmaceutical interventions, advocating for people to avoid crowded places and wear masks to prevent the spread of COVID-19. Consequently, there has been a dearth of research concerning IDSHL and its corresponding focal points for health education.

Objective

This study aimed to (1) evaluate the changes in IDSHL scores between 2019 (before the COVID-19 pandemic) and 2022 (the postepidemic period of COVID-19) and (2) explore the risk factors affecting IDSHL using a multivariate logistic regression analysis.

Methods

This study used 2-round cross-sectional surveys, conducted in 2019 and 2022, respectively, in 30 counties in Zhejiang Province, China. Multiple-stage stratified random sampling was used to select households, and a Kish grid was used to identify participants. An identical standardized questionnaire consisting of 12 closed-ended questions was used to measure IDSHL scores before and after the COVID-19 pandemic (2019 and 2022). Standard descriptive statistics, chi-square tests, t tests, and multivariate logistic regression analyses were used to analyze the data.

Results

The 2-round cross-sectional surveys conducted in 2019 and 2022 yielded, out of 19,366 and 19,221 total questionnaires, 19,257 (99.44% response rate) and 18,857 (98.11% response rate) valid questionnaires, respectively. The correct response rate for the respiratory infectious diseases question "When coughing or sneezing, which of the following is correct?" increased from 29.10% in 2019 to 37.92% in 2022 (χ²1=332.625; P<.001). The correct response rate for the nonrespiratory infectious diseases question "In which of the following ways can hepatitis B be transmitted to others?" decreased from 64.28% to 59.67% (χ²1=86.059; P<.001). In terms of IDSHL scores, a comparison between 2022 and 2019 revealed notable statistical differences in the overall scores (t1=10.829; P<.001) and across the 3 dimensions of knowledge (t1=8.840; P<.001), behavior (t1=16.170; P<.001), and skills (t1=9.115; P<.001). With regard to the questions, all but 4 exhibited statistical differences (P<.001). Multivariate logistic regression analyses indicated that the 2022 year group had a higher likelihood of possessing acquired IDSHL than the 2019 group (odds ratio 1.323, 95% CI 1.264-1.385; P<.001).

Conclusions

When conducting health education, it is imperative to enhance efforts in nonrespiratory infectious disease health education, as well as respiratory infectious diseases such as COVID-19. Health education interventions should prioritize ethnic minority populations with a poor self-health status and low education.

Health literacy and its associated factors among the population in two schistosomiasis-endemic villages in Jiangxi Province, China

This cross-sectional study aimed to assess the levels of health literacy and the associated factors among the general population living in 2 schistosomiasis-endemic villages in Jiangxi Province, China. Multistage stratified random sampling was used to select participants, and a face-to-face survey was conducted from July to August 2021 to collect participants' socio-demographic characteristics and levels of overall health literacy (HL) and its 3 subscales: health literacy of basic knowledge and concepts (HL-BKC), health literacy of behavior and lifestyle (HL-BAL), and health literacy of health-related skills (HL-HRS). The Chi-square test and logistic regression models were used to assess the association between socio-demographic characteristics and low HL levels. The prevalence rates of low overall HL, HL-BKC, HL-BAL, and HL-HRS were 84.3%, 61.8%, 82.6%, and 86%, respectively. In addition, no significant differences (P > .05) were noted between the 2 villages regarding overall HL scores and the 3 subscales of health literacy scores. Older age (P < .001), occupation (P < .001), lower educational level (P < .001), and lower annual household income (P < .05) were associated with an increased risk of low HL. Multivariate logistic regression revealed that occupation as a student (OR = 32.289, 95% CI:1.965-530.462, P < .05) and fishermen (OR = 27.902, 95%CI:1.91-407.642, P < .05), lower education level (OR = 0.384, 95%CI:0.149-0.99, P < .05), older age (OR = 5.228, 95%CI:1.458-18.75, P < .001), and lower annual household income (OR = 0.452, 95%CI:0.24-0.851, P < .05) were independently associated with low HL. The prevalence of low HL is high among the population in the schistosomiasis-endemic villages of Jiangxi Province, China. Age, education level, occupation, and annual household income were all independent factors associated with HL levels. Health educational interventions to improve HL should be simultaneously conducted in health promotion work to reduce risky habits.

Association between cultural capital and health literacy during the COVID-19 pandemic among community residents in China: the mediating effect of social capital

Background

Health literacy is crucial for managing pandemics such as COVID-19 and maintaining the health of the population; our goal was to investigate the impact of cultural capital on health literacy during the COVID-19 pandemic among community residents and to further examine the mediating role of social capital in the relationship between cultural capital and health literacy.

Methods

A cross-sectional study was conducted among 1,600 community residents selected in Chongqing, China using a stratified random sampling method. Data were gathered through a questionnaire survey, including sociodemographic characteristics, cultural capital, social capital, and health literacy. Chi-square analysis, one-way ANOVA, t-test, and hierarchical linear regression were used to analyze the level of health literacy among community residents and the related elements; the structural equation model (SEM) was used to explore the influential mechanisms of health literacy and explore whether social capital acted as a mediator in the relationship between cultural capital and health literacy.

Results

Cultural capital, community participation, community trust, reciprocity, and cognitive social capital had a significant positive effect on health literacy. In addition, the results of SEM indicated that cultural capital not only directly influences health literacy (β = 0.383, 95% CI = 0.265-0.648), but also indirectly influences health literacy through three types of social capital (β = 0.175, 95% CI = 0.117-0.465; β = 0.191, 95% CI = 0.111-0.406; β = 0.028, 95% CI = 0.031-0.174); its mediating effect accounting for 50.7% of the overall effect.

Conclusions

Our results highlight the empirical link between cultural capital and health literacy, and suggest that social capital mediates this connection. These findings suggest that governments and communities should focus on the construction of community cultural capital and provide residents with better social capital to improve their health literacy to prepare for future pandemics.

Coronavirus-related health literacy levels among school administrators and influencing factors

Our study aimed to determine the level of coronavirus-related health literacy among school administrators and the factors that influence this. The sample of this cross-sectional study consisted of 402 school administrators serving in primary, secondary and high schools in Ankara. The data were collected between September 2021 and February 2022 using the descriptive characteristics questionnaire and the Coronavirus-Related Health Literacy Questionnaire (HLS-COVID-Q22). It was seen that 64.4% of the participants were male, 34.6% were 40 years old or younger and 35.6% were working in primary schools; 77.6% of the participants had a sufficient, 16.2% had a problematic and 6.2% had an inadequate level of coronavirus-related health literacy. Age, gender, chronic disease status, type of school they work in, level of knowledge about coronavirus, level of confusion due to knowledge about coronavirus, willingness to be vaccinated, believing that vaccines are safe/effective/compatible with their religious beliefs were found to affect coronavirus-related health literacy (p < 0.05). Gender, age, information satisfaction on coronavirus, confusion due to information on coronavirus and 'Overall, I believe that vaccinations are effective' explained 24.9% of HLS-COVID-Q22 variance (Adjusted R2 = 0.249, F = 13.080, p < 0.001). This study found the coronavirus-related health literacy level among school administrators to be sufficient. It found that their level of health literacy was affected by gender, age, chronic disease status, type of school they worked at, level of knowledge about coronavirus, level of confusion due to information about coronavirus, desire to be vaccinated and their thoughts about vaccines.

Relationship between health literacy and COVID-19 knowledge: A cross-sectional study

Background

Health literacy (HL) is a protective factor for some chronic diseases. However, its role in the Coronavirus Disease 2019 (COVID-19) pandemic has not been clarified. This study aims to explore the association between HL and COVID-19 knowledge among residents in Ningbo.

Methods

A total of 6,336 residents aged 15-69 years in Ningbo were selected by multi-stage stratified random sampling method. The "Health Literacy Questionnaire of Chinese Citizens (2020)" was used to evaluate the relationship between COVID-19 knowledge and HL. Chi-square test, Mann-Whitney U test and logistic regression were used to analyze the data.

Results

The HL and COVID-19 knowledge levels of Ningbo residents were 24.8% and 15.7%, respectively. After adjusting for confounding factors, people with adequate HL were the more likely to have adequate COVID-19 knowledge compared with those with limited HL (OR = 3.473, 95% CI = 2.974-4.057, P <0.001). Compared with the limited HL group, the adequate HL group had a higher rate of COVID-19 knowledge, a more positive attitude, and a more active behavior.

Conclusion

COVID-19 knowledge is significantly associated with HL. Improving HL may influence people's knowledge about COVID-19, thereby changing people's behaviors, and finally combating the pandemic.

Changes in the health literacy of residents aged 15-69 years in central China: A three-round cross-sectional study

Introduction

Health literacy is an effective strategy to promote more cost-effective use of health care services and a crucial tool for preventing the spread of infectious diseases. The main objective of this study was to analyze changes in health literacy from 2019 to 2021.

Methods

Data were from the latest three-round cross-sectional studies with the same study design.

Results

Although the prevalence of adequate health literacy rose significantly over time, increasing from 26.9% (95% CI 20.1-33.7) in 2019 to 34.1% (32.9-35.3) in 2021, it was still at a relatively low level. The most significant decrease was observed for health skills among the three aspects and health information literacy among the six dimensions. Working as medical staff was a protective factor for adequate health literacy, health skills literacy, and health information literacy. Risk factors for adequate health literacy and health information literacy were older age and lower education level. Furthermore, adequate health information literacy was positively related to annual family income.

Discussion

More practical and effective policies targeting health literacy for critical aspects and groups in Central China, are urgently needed, especially during the epidemic.

Study of the Economic, Environmental, and Social Factors Affecting Chinese Residents' Health Based on Machine Learning

The Healthy China Strategy puts realistic demands for residents' health levels, but the reality is that various factors can affect health. In order to clarify which factors have a great impact on residents' health, based on China's provincial panel data from 2011 to 2018, this paper selects 17 characteristic variables from the three levels of economy, environment, and society and uses the XG boost algorithm and Random forest algorithm based on recursive feature elimination to determine the influencing variables. The results show that at the economic level, the number of industrial enterprises above designated size, industrial added value, population density, and per capita GDP have a greater impact on the health of residents. At the environmental level, coal consumption, energy consumption, total wastewater discharge, and solid waste discharge have a greater impact on the health level of residents. Therefore, the Chinese government should formulate targeted measures at both economic and environmental levels, which is of great significance to realizing the Healthy China strategy.