Health literacy and its effect on chronic disease prevention: evidence from China’s data

Background: Improving health literacy is an important public health goal in many countries. Although many studies have suggested that low health literacy has adverse effects on an individual’s health outcomes, confounding factors are often not accounted. This paper examines the interplay between health literacy and chronic disease prevention. Methods: A population-based sample of 8194 participants aged 15–69 years old in Ningbo were used from China’s 2017 National Health Literacy Surveillance Data. We use multivariate regression analysis to disentangle the relationship between health literacy and chronic disease prevention. Results: We find the association between health literacy and the occurrence of the first chronic condition is attenuated after we adjust the results for age and education. This might arise because having one or more chronic conditions is associated with better knowledge about chronic diseases, thus improve their health literacy. More importantly, we find health literacy is associated with a reduction in the likelihood of having a comorbid condition. However, this protective effect is only found among urban residents, suggesting health literacy might be a key factor explaining the rural-urban disparity in health outcomes. Conclusion: Our findings highlight the important role of health literacy in preventing comorbidities instead of preventing the first chronic condition. Moreover, family support could help improve health literacy and result in beneficial effects on health

The economic costs of limited health literacy in China: evidence from China’s National Health Literacy Surveillance data

BACKGROUND: Limited health literacy is a public health challenge contributing to the rising health care costs. We assess the economic costs of limited health literacy in China using data from the National Health Literacy Surveillance survey. METHODS: Our data includes a sample of 6316 residents aged 15–69 years old living in Ningbo, China, in 2019. We use box plots to examine the distribution of out-of-pocket health expenditure by the level of health literacy. We then use the estimates from a two-part model to assess the contribution of limited health literacy to individual medical spending and the aggregate health expenditure at different levels of health literacy for the adult population in Ningbo. RESULTS: Medical costs of limited health literacy are about 10% (177 CNY or about 25 USD) of the annual medical expense of a resident aged 15–69 living in Ningbo. The medical cost of limited health literacy is greater among the rural, female, and older groups than others. If the proportion of people with adequate health literacy increases from 22 to 30% (the target level by 2030), the aggregate out-of-pocket health expenditure in Ningbo will decrease by 100 million CNY (14 million USD), or 0.88% of the 2019 Ningbo government expenditure on health care. CONCLUSIONS: This paper highlights the direct and indirect economic costs associated with limited health literacy. The results should help policymakers evaluate the cost-effectiveness of relevant programs that aim to improve residents’ health literacy. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12913-022-07795-9

The Community Health Supporting Environments and Residents’ Health and Well-Being:The Role of Health Literacy

We evaluate the impacts that health supporting environments have on residents’ health and well-being. Using a stratified multi-stage sampling method, we select a sample of 12,360 permanent adult residents aged 15–69, and collect information on their health literacy level, as well as their demographic background and health. This individual level data is then merged with the administrative health supporting environment data. More than two thirds of residents self-reported having good/excellent health, and the percent of adults living in communities with healthy parks, healthy trails, and healthy huts in their community is 23 percent, 43 percent, and 25 percent, respectively. Controlling for a series of confounding factors at the community and individual levels, we find that healthy parks and healthy trails are positively correlated with self-reported health, which increases the probability of self-reporting good health by 2.0 percentage points (p < 0.10) and 6.0 percentage points (p < 0.01), respectively. Access to healthy huts is negatively associated with self-reported health, decreasing the probability of self-reporting good health by 5.0 percentage points (p < 0.01). Health literacy plays a role in moderating the effect of health parks, and a positive effect is more likely to be observed among adults with lower health literacy. Health supporting environments may play a role in reducing the likelihood of undiagnosed diseases and changing residents’ lifestyles, which promotes the health and well-being of residents, especially among those with inadequate health literacy

Health literacy and its effect on chronic disease prevention: evidence from China’s data

Background: Improving health literacy is an important public health goal in many countries. Although many studies have suggested that low health literacy has adverse effects on an individual’s health outcomes, confounding factors are often not accounted. This paper examines the interplay between health literacy and chronic disease prevention. Methods: A population-based sample of 8194 participants aged 15–69 years old in Ningbo were used from China’s 2017 National Health Literacy Surveillance Data. We use multivariate regression analysis to disentangle the relationship between health literacy and chronic disease prevention. Results: We find the association between health literacy and the occurrence of the first chronic condition is attenuated after we adjust the results for age and education. This might arise because having one or more chronic conditions is associated with better knowledge about chronic diseases, thus improve their health literacy. More importantly, we find health literacy is associated with a reduction in the likelihood of having a comorbid condition. However, this protective effect is only found among urban residents, suggesting health literacy might be a key factor explaining the rural-urban disparity in health outcomes. Conclusion: Our findings highlight the important role of health literacy in preventing comorbidities instead of preventing the first chronic condition. Moreover, family support could help improve health literacy and result in beneficial effects on health

Health literacy and its effect on chronic disease prevention: evidences from China's national health literacy surveillance data

Objectives Improving health literacy is an important public health goal in many countries. Although many studies have suggested that low health literacy has adverse effects on an individual’s health outcomes, factors that may be confounding the relationship between health literacy and health outcomes are often not accounted. This paper examines the interplay between health literacy and chronic disease prevention. Methodology A sample of 2,835 residents aged 14-71 years old in Ningbo province of China were selected from China’s National Health Literacy Surveillance Survey in 2017. The multivariate regression analysis is used to untangle the relationship between health literacy and chronic disease prevention. Results We find the association between health literacy and the occurrence of the first chronic condition is attenuated after we adjust the results for age and education. In contrast, we find having one or more chronic conditions leads to better knowledge about chronic diseases and thus improved health literacy on chronic disease prevention. Thus, when a respondent has one chronic disease, health literacy could reduce the incidence of a new chronic condition (comorbidities). However, the protective effect of health literacy is only found among our urban sample, suggesting health literacy might be a key factor explaining the rural-urban disparity in health outcomes. Conclusion Our findings highlight that health literacy plays a more important role in helping individuals preventing comorbidity than preventing their first chronic disease. Moreover, family support could be a potential channel through which health literacy accumulates and results in beneficial effects on health

Parallel Decision Tree with Application to Water Quality Data Analysis

Abstract. Decision tree is a popular classification technique in many applications, such as retail target marketing, fraud detection and design of telecommunication service plans. With the information exploration, the existing classification algorithms are not good enough to tackle large data set. In order to deal with the problem, many researchers try to design efficient parallel classification algorithms. Based on the current and powerful parallel programming framework -MapReduce, we propose a parallel ID3 classification algorithm(PID3 for short). We use water quality data monitoring the Changjiang River which contains 17 branches as experimental data. As the data are time series, we process the data to attribute data before using the decision tree. The experimental results demonstrate that the proposed algorithm can scale well and efficiently process large datasets on commodity hardware

Differentiation of Vegetation Community Characteristics by Altitude within Urban Parks and Their Service Functions in a Semi-Arid Mountain Valley: A Case Study of Lanzhou City

As the primary component of urban green space, parks play an important role in improving local environments and quality of life for city inhabitants. To date, much research on urban park plant community characteristics has been conducted worldwide, but studies focusing on differences across altitudes have been rare. Here, we have investigated fractional vegetation cover (FVC), plant species diversity, plant species composition, and plant life-form types along altitude gradients within four urban parks (Jincheng, Renshoushan, Baitashan, and Lanshan) in Lanzhou city (China) by field sampling and remote sensing. Spatial variations in plant community characteristics at different elevations, as well as their ecological, social, and integrated service levels, were analyzed using combined methods of remote sensing interpretation, mathematical statistics, and service function assessment. The results showed that: (1) spatial variations in plant communities along elevation gradients exhibited a distinct regional differentiation between parks; (2) Lanshan Park had the lowest FVC (43.6%) and plant species diversity (59 species), and these two parameters exhibited the most dramatic spatial change as elevation increased; the opposite phenomenon occurred in Renshoushan Park (FVC of 56.6%; 81 species); (3) the differences in the natural service level of the plant community were smaller for the social and integrated service levels. The highest natural service level occurred in Renshoushan Park, while Jincheng Park had the highest social and integrated service levels; the smallest values occurred in Lanshan Park. We conclude that scientific park management is urgently required to ensure the safety and sustainable development of the local urban ecosystems and to improve the ecological and social service levels of the individual urban parks, especially Lanshan Park. These findings also provide key insights to improve urban park communities and service levels in similar mountainous, semi-arid zones

Differentiation of Vegetation Community Characteristics by Altitude within Urban Parks and Their Service Functions in a Semi-Arid Mountain Valley: A Case Study of Lanzhou City

As the primary component of urban green space, parks play an important role in improving local environments and quality of life for city inhabitants. To date, much research on urban park plant community characteristics has been conducted worldwide, but studies focusing on differences across altitudes have been rare. Here, we have investigated fractional vegetation cover (FVC), plant species diversity, plant species composition, and plant life-form types along altitude gradients within four urban parks (Jincheng, Renshoushan, Baitashan, and Lanshan) in Lanzhou city (China) by field sampling and remote sensing. Spatial variations in plant community characteristics at different elevations, as well as their ecological, social, and integrated service levels, were analyzed using combined methods of remote sensing interpretation, mathematical statistics, and service function assessment. The results showed that: (1) spatial variations in plant communities along elevation gradients exhibited a distinct regional differentiation between parks; (2) Lanshan Park had the lowest FVC (43.6%) and plant species diversity (59 species), and these two parameters exhibited the most dramatic spatial change as elevation increased; the opposite phenomenon occurred in Renshoushan Park (FVC of 56.6%; 81 species); (3) the differences in the natural service level of the plant community were smaller for the social and integrated service levels. The highest natural service level occurred in Renshoushan Park, while Jincheng Park had the highest social and integrated service levels; the smallest values occurred in Lanshan Park. We conclude that scientific park management is urgently required to ensure the safety and sustainable development of the local urban ecosystems and to improve the ecological and social service levels of the individual urban parks, especially Lanshan Park. These findings also provide key insights to improve urban park communities and service levels in similar mountainous, semi-arid zones