The Impact of Higher Education on Health Literacy: A Comparative Study between Urban and Rural China

Long, Yanwen; Jia, Changli; Luo, Xiaoxia; Sun, Yan; Zuo, Wenjing; Wu, Yibo; Wu, Yunchou; Kaierdebieke, Ayidana; Lin, Zhi

doi:10.3390/su141912142

Cited by 10 publications

(6 citation statements)

References 69 publications

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“…This finding contrasts with earlier studies, which typically indicate that higher education levels are associated with greater AD knowledge [ 30 , 32 , 45 ]. Although individuals with higher education might have better comprehension skills for understanding complex health issues, our data suggest that education level does not directly impact AD awareness [ 46 ]. Similarly, our research revealed no notable link between marital status and levels of AD knowledge, consistent with previous studies [ 47 – 49 ].…”

Section: Discussionmentioning

confidence: 99%

Knowledge of Alzheimer’s disease and associated factors among adults in Zhuhai, China: a cross-sectional analysis

Sun,

Song,

et al. 2024

BMC Public Health

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Background This study aimed to assess the public knowledge regarding Alzheimer’s Disease (AD) in Zhuhai, China, focusing on identifying knowledge gaps and the influence of demographic and health factors. Methods A cross-sectional study was conducted in Zhuhai, China, from October to November 2022. A total of 1986 residents from 18 communities were selected employing stratified multi-stage equi-proportional sampling. Questionnaires covering general information and the Alzheimer’s Disease Knowledge Scale (ADKS) were investigated face-to-face. Ordinal multiclass logistic regression was applied to assess the relationship between AD awareness and demographic and health characteristics. Results The average ADKS score was 18.5 (SD = 3.36) in Zhuhai. The lowest awareness rates were observed in the “Symptoms” and “Caregiving” subdomains of ADKS, with rates of 51.01% and 43.78%, respectively. The correct rates for the 30 ADKS questions ranged from 16.62 to 92.6%, showing a bimodal pattern with clusters around 80% and 20%. Women (OR = 1.203, 95% CI: 1.009–1.435), individuals aged 60 years or older (OR = 2.073, 95% CI: 1.467–2.932), those living in urban areas (OR = 1.361, 95% CI: 1.117–1.662), higher average monthly household income per capita (OR = 1.641, 95% CI: 1.297–2.082), and without any neurological or mental disorders (OR = 1.810, 95% CI: 1.323–2.478) were more likely to have higher levels of awareness about Alzheimer’s disease. Conclusions Adults in Zhuhai show a limited knowledge of AD, particularly in the ‘Symptoms’ and ‘Caregiving’ subdomains. Upcoming health campaigns must focus on bridging the knowledge gaps in different subdomains of AD, especially among subgroups with lower awareness, as identified in our study.

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Section: Discussionmentioning

confidence: 99%

Knowledge of Alzheimer’s disease and associated factors among adults in Zhuhai, China: a cross-sectional analysis

Sun,

Song,

et al. 2024

BMC Public Health

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“…First, we found disparities in FH, educational attainment, household income, healthcare coverage, and job type between urban and rural China, and education inequality can translate into health inequality. There is uneven distribution and utilization of public resources, with low health awareness and inadequate medical security in rural China ( 80 ). Second, in general, education may have a positive effect on FH both for urban and rural residents.…”

Section: Discussionmentioning

confidence: 99%

“…The primary explanatory variable was years of schooling (YS), with 0 denoting illiteracy, six denoting primary school, nine denoting junior high, 12 denoting high school, 15 denoting an associate's degree, 16 denoting a bachelor's degree, 19 denoting a master's degree, and 22 denoting a Ph.D. degree ( 80 ).…”

Section: Methodsmentioning

confidence: 99%

Inverted U-shaped relationship between education and family health: The urban-rural gap in Chinese dual society

Jia

Long

Luo

et al. 2023

Front. Public Health

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IntroductionThe Healthy China Initiative emphasizes family health. Education is an upstream determinant of health, which can both achieve upward mobility and cause class solidification.MethodsUsing nationwide large-scale data collected in 2021, the present study explored the relationship between education and family health in the urban-rural dual society via Oaxaca-Blinder decomposition and propensity score matching.ResultsOur data revealed disparities in family health, educational attainment, household income, healthcare coverage, and job type between urban and rural China. An inverted U-shaped relationship existed between increasing years of education and family health. The upper limit was 17.1 years for urban residents and 13.7 years for rural residents, with limited health benefits from higher education obtained by rural residents. Mediated by work-family conflict, highly-educated people received gradually diminishing health returns. The results of the Oaxaca-Blinder decomposition showed that 25.8% of the urban-rural gap in family health could be explained by the disparity in education. Urban residents could translate cultural capital and economic capital into health capital to a greater extent. After propensity score matching, a robust, inverted U-shaped relationship was found between education and family health. The inverted U-shaped relationship was found to replace family health with self-rated health and quality of life.DiscussionFamily-centered public health and education programs, policies, and goals should be developed to break urban-rural dual structure barriers and advance social equity in China.

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“…Moreover, future health education and health promotion activities should be reinforced too. (Long et al, 2022)…”

Section: Discussionmentioning

confidence: 99%

Analysis of Health Literacy Index Difference Amongst Generation in Jagapura Primary Healthcare Work Area

Fatharani¹,

Hilmy²

2023

AMS

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Health literacy is one of the factors which has a big contribution to a person's health status. The rapidity of technology growth eases access to health information, this situation has to be balanced with good health literacy index. Several factors as generation, occupation, and education influence health literacy index. Many measuring tools have been developed to assess the health literacy index. Researcher uses the latest health literacy survey questionnaire in Indonesia, namely HLS-EU-SQ10-IDN which contains 10 questions. This type of research is analytic observational. The research was conducted in the work area of the Jagapura Primary Health Care, Gegesik District, Cirebon Regency, West Java. A total of 146 people that spread over five village is taken as samples with purposive sampling method. The results of Chi Square analysis is the association between generation and health literacy index showed insignificant results with p = 0.705. For the correlation with work, the results are also insignificant with p = 0.296. Meanwhile, education level is associated significantly with p = 0.018. The data obtained indicate that there is no significant correlation between generational differences and the health literacy index. Older generation with higher educational background tends to have better health literacy index. On the other hand, the researcher concludes that government need a strategy to increase the quantity and quality of education in Indonesia as an endeavour to increase health literacy index in our society. Keywords: health literacy index, generation, education, occupation

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The Impact of Higher Education on Health Literacy: A Comparative Study between Urban and Rural China

Cited by 10 publications

References 69 publications

Knowledge of Alzheimer’s disease and associated factors among adults in Zhuhai, China: a cross-sectional analysis

Knowledge of Alzheimer’s disease and associated factors among adults in Zhuhai, China: a cross-sectional analysis

Inverted U-shaped relationship between education and family health: The urban-rural gap in Chinese dual society

Analysis of Health Literacy Index Difference Amongst Generation in Jagapura Primary Healthcare Work Area

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