Diabetes in the News: Readability Analysis of Malaysian Diabetes Corpus

Hamat, Afendi; Jaludin, Azhar; Dom, Tuti Ningseh Mohd; Rani, Haslina; Jamil, Nor Aini; Aziz, Aznida Firzah Abdul

doi:10.3390/ijerph19116802

Cited by 4 publications

(2 citation statements)

References 20 publications

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“… 29 However, a recent study from Malaysia reported that there was much room for improvement in the language such as using simple sentence structures in newspapers. 30 All media including newspapers have a very good role in improving diabetes health literacy. Other than newspaper reading, internet use, and glucose monitoring, we did not capture information on other diabetes self-care practices which are reported to be effective in improving diabetes control rates.…”

Section: Discussionmentioning

confidence: 99%

Diabetes Health Literacy, Drug Adherence and Factors Associated with Them among Urban Patients in Kerala, India

Arshad¹,

Sathish²,

Gopinathan³

et al. 2023

Journal of Postgraduate Medicine, Education and Research

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Aims The study aimed to assess diabetes health literacy, adherence to diabetes medication, and its associated factors in Kerala, India, the most advanced Indian state in epidemiological transition with the highest literacy level in India. Materials and methods We conducted a community-based cross-sectional study among 280 diabetes patients (mean age 62 years, male 42%) selected by multistage cluster sampling. Information on sociodemographic variables was collected using a pretested structured interview schedule. Diabetes health literacy was assessed using the revised Michigan Diabetes Knowledge test. Adherence to diabetes medication was assessed using the Hill-Bone subscale. Binary logistic regression analysis was done to find out the factors associated with diabetes health literacy and medication adherence. Results Good diabetes health literacy was reported by 35.7% [95% confidence interval (CI): 30.1–41.6] of the patients. Perfect adherence to diabetes medication was reported by 33.2% of patients (CI: 27.7–39.1). Patients who reported regular newspaper reading [adjusted odds ratio (AOR) 3.16; CI: 1.57–6.30], using the internet (AOR 2.23; CI: 1.11–4.50) and insulin use (AOR 2.60; CI: 1.35–5.00) were more likely to report good diabetes health literacy compared to their counterparts. Patients who reported reading health magazines (AOR 2.75; CI: 1.01–7.60) were more likely to report perfect medication adherence compared to those who did not. Conclusion Why diabetes health literacy and medication adherence were low among diabetes patients in the most literate state needs further investigation. Interventions to enhance diabetes health literacy and medication adherence may be undertaken among diabetes patients encouraging them to read newspapers and health magazines regularly and use the internet.

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Section: Discussionmentioning

confidence: 99%

Diabetes Health Literacy, Drug Adherence and Factors Associated with Them among Urban Patients in Kerala, India

Arshad¹,

Sathish²,

Gopinathan³

et al. 2023

Journal of Postgraduate Medicine, Education and Research

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show abstract

“…Diabetes is emerging as an epidemic all over the world, and it is a common chronic disease that seriously threatens human health [ 2 ]. It affects the quality of lives of many people around the world [ 3 ], and the quality of life for Chinese residents is also affected by diabetes. China has a large and rapidly growing elderly population.…”

Section: Introductionmentioning

confidence: 99%

Spatiotemporal Analysis and Risk Assessment Model Research of Diabetes among People over 45 Years Old in China

Wang

Dong

Yang

2022

IJERPH

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Diabetes, which is a chronic disease with a high prevalence in people over 45 years old in China, is a public health issue of global concern. In order to explore the spatiotemporal patterns of diabetes among people over 45 years old in China, to find out diabetes risk factors, and to assess its risk, we used spatial autocorrelation, spatiotemporal cluster analysis, binary logistic regression, and a random forest model in this study. The results of the spatial autocorrelation analysis and the spatiotemporal clustering analysis showed that diabetes patients are mainly clustered near the Beijing–Tianjin–Hebei region, and that the prevalence of diabetes clusters is waning. Age, hypertension, dyslipidemia, and smoking history were all diabetes risk factors (p < 0.05), but the spatial heterogeneity of these factors was weak. Compared with the binary logistic regression model, the random forest model showed better accuracy in assessing diabetes risk. According to the assessment risk map generated by the random forest model, the northeast region and the Beijing–Tianjin–Hebei region are high-risk areas for diabetes.

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Identifying Stylometric Characteristics of Domain Specific Texts Using Classification Algorithms: A Study of Library Science Articles published in 2020

Saha

Ghosh

2023

srels

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Academic writing has played an essential role in communicating the cognitive aspects of the human mind. Natural Language Processing (NLP) tools enable us to examine linguistic knowledge. However, writing patterns and applicable linguistic characteristics differ geographically. The study's primary purpose is to understand the global writing pattern and linguistic diversities of research articles in the LIS domain. The corpus was identified from four SCOPUS-enrolled open-access libraries and information science journals. The journals published in India and outside India were selected for the study in 2020. The syntactic complexity in 147 text documents was measured using the Tool for the Automatic Analysis of Syntactic Sophistication and Complexity (TASSAC). The corpus was further examined using the Structural Equation Model (SEM) to determine the causal relationship among independent variables such as syntax features and readability scores. The results depict the differences in the patterning of syntactic features at both the global and national levels. Furthermore, the study allows us to see how linguistic diversity is underplayed in research writings and helps to understand writing patterns through cross-country comparisons. Furthermore, the paper employs model-based reasoning to identify global and national latent variables.

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Diabetes in the News: Readability Analysis of Malaysian Diabetes Corpus

Cited by 4 publications

References 20 publications

Diabetes Health Literacy, Drug Adherence and Factors Associated with Them among Urban Patients in Kerala, India

Diabetes Health Literacy, Drug Adherence and Factors Associated with Them among Urban Patients in Kerala, India

Spatiotemporal Analysis and Risk Assessment Model Research of Diabetes among People over 45 Years Old in China

Identifying Stylometric Characteristics of Domain Specific Texts Using Classification Algorithms: A Study of Library Science Articles published in 2020

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