Influencing Factors on Health Information to Improve Public Health Literacy in the Official WeChat Account of Guangzhou CDC

Background: Social media is used as a new channel for health information. In China, the official WeChat account is becoming the most popular platform for health information dissemination, which has created a good opportunity for the Centers for Disease Control and Prevention to facilitate health information online to improve emergency public health literacy.Methods: Data were collected from the Guangzhou CDC i-Health official WeChat account between April 1, 2018 and April 30, 2019. Descriptive analysis was performed for basic information about the followers and posts of the official WeChat account. Multiple logistic regression analysis was used to analyze the association among various factors of posts on engagement of followers of the official WeChat account.Results: Among 187,033 followers, the total numbers of post views, shares, likes, add to favorites, and comments for 213 posts were 1,147,308, 8,4671, and 5,535, respectively. Engagement of followers peaked on the dissemination date and gradually declined. The main post topics were health education posts and original posts. In the multiple logistic regression model, the number of post views was found to be significantly associated with infectious disease posts (AOR: 3.20, 95% CI: 1.16–8.81), original posts (AOR: 10.20, 95% CI: 1.17–89.28), and posts with title-reflected content (AOR: 2.93, 95% CI: 1.16–8.81).Conclusion: Our findings facilitate the government to formulate better strategies and improve the effectiveness of public information dissemination.

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PENGARUH KEMAMPUAN IBU HAMIL DALAM MELAKUKAN DETEKSI DINI RISIKO PREEKLAMSIA TERHADAP PARITAS, PENGETAHUAN DAN KETERPAPARAN INFORMASI

Medical Technology and Public Health Journal ◽

10.33086/mtphj.v1i1.275 ◽

2017 ◽

Vol 1 (1) ◽

pp. 27-34

Author(s):

Rr. Galuh Ajeng Indu Dewi

Keyword(s):

Public Health ◽

Logistic Regression ◽

Regression Analysis ◽

Health Center ◽

Logistic Regression Analysis ◽

Maternal Death ◽

Multiple Logistic Regression Analysis ◽

Multiple Logistic Regression ◽

Pregnant Mother ◽

Danger Signs

Health conditions, mental status and Life & Style can be lead to complications on Pregnancy can be causing death of mother and fetus (Depkes RI, 2014). The main factor that cause maternal death are postpartum bleeding / HPP (28%), preeclampsia (24%) and infection (11%) (Indonesia Health Profile, 2007). Those factors that cause maternal death actually could be prevented by pregnancy and early detection of the risk of pregnancy check up. The type of this research is analitic observational by using cross sectional design. The population is consist of 171 pregnant mother. The sample used are amount of 62 pregnant mothers. The sample used is probability sampling with stratified random sampling technique. Data collection using primary data with questionnaire instrument through interview. Furthermore, the data would be analyzed with simple logistic regression analysis and multiple logistic regression analysis with the level of meaning 5% (α = 0,05). Based on the results of multiple logistic regression analysis in Sawahan show disclosure information variable of danger signs with significancy Exp value (B) 5,657 are significant variables and variable of paritas with significancy Exp value (B) 9,060 are significant variables. Sawahan Public Health Center is the Public Health Center which has high of Maternal Mortality Rate. Puskesmas Sawahan must have information forum. So that, pregnant mother and the other patient or patient’s family should get more information about the danger signs of pregnancy, especially preeclampsia.

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Related Factors for Impaired Fasting Glucose in Korean Adults: A Population Based Study

BMC Public Health ◽

10.1186/s12889-021-12276-5 ◽

2021 ◽

Vol 21 (1) ◽

Author(s):

Hyunjin Lee ◽

Bohyun Kim ◽

Youngshin Song

Keyword(s):

Logistic Regression ◽

Health Literacy ◽

Health Behaviors ◽

Impaired Fasting Glucose ◽

Fasting Glucose ◽

Multiple Logistic Regression Analysis ◽

Health Examination ◽

Multiple Logistic Regression ◽

Related Factors ◽

High Bmi

Abstract Background Individuals with impaired fasting glucose (IFG) who have poor health behaviors are at a greater risk for various health outcomes. This study compared the health behaviors and health literacy between individuals with non-IFG and IFG; factors that were associated with IFG were identified by sex. Methods This study was an observational study with a cross-sectional design based on data from the Korea National Health and Nutrition Examination Survey (KNHANES) that used a stratified, multi-stage, cluster-sampling design to obtain a nationally representative sample. This study analyzed the KNHANES Health Examination Survey and Health Behavior Survey from 2016 to 2018 (N=9919). Multiple logistic regression analysis was employed to compute the odds ratios of health behaviors and health literacy to identify the risk factors for IFG. Results The prevalence of IFG among the total was 29.0% (weighted n=2826, 95% CI 27.8–30.2). In the IFG group, 63.6% were male and 36.4% were female (X2=320.57, p<.001). In multiple logistic regression by sex, the factors associated with IFG in male were as follows: age (50s; OR=2.36, 95% CI 1.79–3.13), high BMI (OR=2.27, 95% CI 1.78–2.90), frequent drinking (OR=1.83, 95% CI 1.23–2.72), and using nutrition fact labels (OR=1.35, 95% CI 1.05–1.75). Low economic status (OR=4.18, 95% CI 1.57–11.15) and high BMI (OR=2.35, 95% CI 1.29–4.28) were the affecting factors in female. On the other hand, employment status, perceived stress, and job type were not related to IFG in both male and female. Conclusions Strategies should be targeted to improve health behaviors and health literacy for those in their 40s and 60s, male in shift work, those who frequently dine out, overweight male, female with low economic statuses, and frequent drinkers. Moreover, healthcare providers should understand the barriers to health behaviors and literacy to effectively deliver healthcare service.

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PENGARUH KEMAMPUAN IBU HAMIL DALAM MELAKUKAN DETEKSI DINI RISIKO PREEKLAMSIA TERHADAP PARITAS, PENGETAHUAN DAN KETERPAPARAN INFORMASI

Medical Technology and Public Health Journal ◽

10.33086/mtphj.v1i1.755 ◽

2018 ◽

Vol 1 (1) ◽

pp. 27-34

Author(s):

Rr. Galuh Ajeng Indu Dewi

Keyword(s):

Public Health ◽

Logistic Regression ◽

Regression Analysis ◽

Health Center ◽

Logistic Regression Analysis ◽

Maternal Death ◽

Multiple Logistic Regression Analysis ◽

Multiple Logistic Regression ◽

Pregnant Mother ◽

Danger Signs

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Leptospirosis in Si Sa Ket, Thailand: Incidence and Factors of Death during 2010-2019

International Journal of Geoinformatics ◽

10.52939/ijg.v17i5.2027 ◽

2021 ◽

Keyword(s):

Public Health ◽

Logistic Regression ◽

Regression Analysis ◽

Logistic Regression Analysis ◽

Disease Surveillance ◽

Multiple Logistic Regression Analysis ◽

Public Health Problem ◽

Agricultural Workers ◽

Multiple Logistic Regression ◽

Epidemiological Characteristics

Leptospirosis is an emerging public health problem in Thailand especially Si Sa Ket. The aims of this study were to determine the leptospirosis incidence and factors of death among leptospirosis patients in Si Sa Ket. This study was performed during 2010-2019 from the 506-surveillance report of leptospirosis to the Sisaket Provincial Public Health Office and the National Disease Surveillance System, Bureau of Epidemiology, Ministry of Public Health, Thailand. The data was using the definition of leptospirosis patient for disease surveillance. Multiple logistic regression analysis was performed to evaluate factors of death. A total of 3,988 cases were reported from 22 districts, mainly in rural settings. The incidence rate for leptospirosis was 27.15 per 100,000 population. The dramatic phenomenal of epidemiological characteristics of leptospirosis in Si Sa Ket include a peak incidence in August and October in association with the rainy season. Seventy-four point eight percent of subjects were male, 24.5% were aged 45-54 years and 78.3% were agricultural workers. A total number of 86 deaths were registered in 19 districts. Mortality was higher in males (80.2%). The fatality rate was 2.16%. Significant factors of death found on multiple logistic regression analysis were agricultural workers (Adjusted OR=2.51, 95% CI: 1.15-5.49) and the duration of seeking for medical care >3 days after onset (Adjusted OR=2.45, 95% CI: 1.30-4.61). To reduce the burden disease, the promotion of preventive health behavior, early recognition and treatment of patients have been shown to reduce the severity of illness and death.

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31.C. Workshop: Development and implementation of action plans on health literacy

European Journal of Public Health ◽

10.1093/eurpub/ckaa165.1396 ◽

2020 ◽

Vol 30 (Supplement_5) ◽

Author(s):

◽

Keyword(s):

Public Health ◽

Health Care ◽

Health Literacy ◽

Health Information ◽

Digital Health ◽

Action Plan ◽

Knowledge Society ◽

Implementation Strategies ◽

Social Consequences ◽

Action Plans

Abstract Health literacy (HL) has become an important topic in many countries. As HL - meaning the ability to access, understand, appraise and apply health information (Sørensen et al. 2012) - is important to make sound health decisions, to promote health and to take an active part in managing health and illness in everyday life and navigating the health care system. In the modern digital knowledge society, HL is also indispensable for orienting oneself in the abundance of mostly digital health information, including incorrect and false information, for locating reliable information and for assessing the trustworthiness and quality of information. However, available studies show that HL is insufficient in many countries. Low HL has - as many studies show - negative social consequences ranging from unhealthy behaviour, higher risk for diseases, less self-care and deficits in coping with illness and chronicity, to over- and misuse (extensive use) of health care. The promotion of HL is therefore an important public health task. An increasing number of population studies and policy documents currently underline this. The WHO has therefore included HL into many of its strategies, like the declarations of Shanghai (2016) and Astana (2018), and has published several publications focusing on HL, like the Solid Facts (2013), the 57th Health Evidence Network Report (2018) or the Roadmap for Implementing Health Literacy Activities (2019). In many countries, strategies and national action plans to improve HL have been developed in response to the political call for action, e.g. in Scotland, Germany and recently also in Portugal. Other countries and regions are currently working on the development of a HL action plan, e.g. Belgium and the WHO European Region action plan on HL. The development and especially the implementation strategies of action plans in different countries and the experiences gained will be discussed comparatively in the workshop. Following an introduction (10'), two countries, which already have action plans will introduce their implementation strategy in one presentation each: Germany and Portugal (30'). This will be followed by two presentations of countries/regions in which action plans are currently being developed: Belgium and WHO Europe (30'). Afterwards the participants will have the opportunity to ask questions and discuss on the different strategies (20'). The workshop will help other initiatives to successfully develop and implement policy plans and strategies in different fields of public health. Key messages Strategies and national action plans to improve HL have been developed in different countries/regions. It is important to reflect on the chosen development and implementation strategies and to discuss their effects, successes and barriers.

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