Journal of Preventive Medicine and Public Health

COVID-19: Original Article

An Observational Study in Manipur State, India on Preventive Behavior Influenced by Social Media During the COVID-19 Pandemic Mediated by Cyberchondria and Information Overload: Renu Bala, Amit Srivastava, Gouri Devi Ningthoujam, Thadoi Potsangbam, Amita Oinam, Ch Lily Anal; J Prev Med Public Health. 2021;54(1):22-30. Published online December 1, 2020; DOI: https://doi.org/10.3961/jpmph.20.465

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Objectives
The coronavirus disease 2019 (COVID-19) pandemic is a public health emergency posing unprecedented challenges for health authorities. Social media may serve as an effective platform to disseminate health-related information. This study aimed to assess the extent of social media use, its impact on preventive behavior, and negative health effects such as cyberchondria and information overload.
Methods
A cross-sectional observational study was conducted between June 10, 2020 and August 9, 2020 among people visiting the outpatient department of the authors’ institution, and participants were also recruited during field visits for an awareness drive. Questions were developed on preventive behavior, and the Short Cyberchondria Scale and instruments dealing with information overload and perceived vulnerability were used.
Results
The study recruited 767 participants with a mean age of about 45 years. Most of the participants (>90%) engaged in preventive behaviors, which were influenced by the extent of information received through social media platforms (β=3.297; p<0.001) and awareness of infection when a family member tested positive (β=29.082; p<0.001) or a neighbor tested positive (β=27.964; p<0.001). The majority (63.0%) of individuals often searched for COVID-19 related news on social media platforms. The mean±standard deviation scores for cyberchondria and information overload were 9.09±4.05 and 8.69±2.56, respectively. Significant and moderately strong correlations were found between cyberchondria, information overload, and perceived vulnerability to COVID-19.
Conclusions
This study provides evidence that the use of social media as an information- seeking platform altered preventive behavior. However, excessive and misleading information resulted in cyberchondria and information overload.

Summary

Citations

Citations to this article as recorded by

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Brief Report

Zika Virus on YouTube: An Analysis of English-language Video Content by Source: Corey H. Basch, Isaac Chun-Hai Fung, Rodney N. Hammond, Elizabeth B. Blankenship, Zion Tsz Ho Tse, King-Wa Fu, Patrick Ip, Charles E. Basch; J Prev Med Public Health. 2017;50(2):133-140. Published online January 26, 2017; DOI: https://doi.org/10.3961/jpmph.16.107

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Abstract PDF

Objectives
The purpose of this study was to describe the source, length, number of views, and content of the most widely viewed Zika virus (ZIKV)-related YouTube videos. We hypothesized that ZIKV-related videos uploaded by different sources contained different content.
Methods
The 100 most viewed English ZIKV-related videos were manually coded and analyzed statistically.
Results
Among the 100 videos, there were 43 consumer-generated videos, 38 Internet-based news videos, 15 TV-based news videos, and 4 professional videos. Internet news sources captured over two-thirds of the total of 8 894 505 views. Compared with consumer-generated videos, Internet-based news videos were more likely to mention the impact of ZIKV on babies (odds ratio [OR], 6.25; 95% confidence interval [CI], 1.64 to 23.76), the number of cases in Latin America (OR, 5.63; 95% CI, 1.47 to 21.52); and ZIKV in Africa (OR, 2.56; 95% CI, 1.04 to 6.31). Compared with consumer-generated videos, TV-based news videos were more likely to express anxiety or fear of catching ZIKV (OR, 6.67; 95% CI, 1.36 to 32.70); to highlight fear of ZIKV among members of the public (OR, 7.45; 95% CI, 1.20 to 46.16); and to discuss avoiding pregnancy (OR, 3.88; 95% CI, 1.13 to 13.25).
Conclusions
Public health agencies should establish a larger presence on YouTube to reach more people with evidence-based information about ZIKV.

Summary

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Original Article

The Nonlinear Association Between Internet Using Time for Non-Educational Purposes and Adolescent Health: Jong Yeon Kim; J Prev Med Public Health. 2012;45(1):37-46. Published online January 31, 2012; DOI: https://doi.org/10.3961/jpmph.2012.45.1.37

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Abstract PDF

Objectives

This study was performed to consider the association between Internet using time for non-educational purposes and adolescent health, and to examine how health status differs between Internet users and non-users.

Methods

We analyzed 2009 data from the Korea Adolescent Risk Behavior Web-Based Survey, conducted on a nationally representative sample of students in grades 7 to 12. A total of 75 066 adolescents were categorized into four groups according to their Internet using time excluding using for educational purposes: non-Internet users (NIUs), occasional Internet users (OIUs) (<1 h/d), moderate Internet users (MIUs) (≥1 and <2 h/d), and heavy Internet users (HIUs) (≥2 h/d). Health factors included eight health risk behavior indices, four mental health indices and six physical health indices.

Results

The distribution of Internet use was as follows: NIUs 17.4%, OIUs 68.1%, MIUs 12.7%, and HIUs 1.7%. In multivariate analysis, using OIUs as a reference, U- or J-shaped associations were observed for five health risk behavior indices (current smoking, current drinking, drug abuse, sexual intercourse, sedentary behavior on weekdays) and four mental health indices (stressed, depressed, suicidal ideation, attempted suicide) in both genders. After removing confounding effects, including age, region, school type, subjective school record, subjective economic status, presence of parents, living with family, and sedentary behavior, these associations were still observed.

Conclusions

Health professionals should consider both Internet non-users (for non-educational purposes) and heavy users to be high-risk groups in terms of health status. Also, more well-designed studies are needed to clarify what factors are working in these nonlinear associations.

Summary

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Review

Global Networking of Cancer and NCD Professionals Using Internet Technologies: The Supercourse and mHealth Applications.: Faina Linkov, Nicolas Padilla, Eugene Shubnikov, Ronald LaPorte; J Prev Med Public Health. 2010;43(6):472-478.; DOI: https://doi.org/10.3961/jpmph.2010.43.6.472

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48 Download
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Abstract PDF

Cancer is a leading cause of death around the world. Education is at the core of cancer prevention activities, especially programs targeting empowering existing public health workforce. In the past 10 years, researchers at the University of Pittsburgh have been building the Global Health Network Supercourse project, a library of over 4500 online lectures and a network of nearly 50000 public health professionals in 174 countries. As of November, 2010, the overall number of Supercourse participants from Asia exceeds 7000 participants. The Supercourse network has been investigating methods for Internet based recruitment of cancer prevention professionals in order to network cancer experts locally and globally, including the use of mHealth technologies for cancer research education and for NCD registries. Supercourse is a tool that can offer a solution to the challenges of information sharing, especially in the field of NCDs and cancer. In this paper, we highlight the need for the development of Cancer Supercourse with Satellite in Asia and encourage faculty members from Asia to join the network.

Summary

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English Abstracts

Factors Affecting Comsumer's Usage of Health Information on the Internet.: Jong Hyock Park, Jin Seok Lee, Hyejung Jang, Yoon Kim; J Prev Med Public Health. 2008;41(4):241-248.; DOI: https://doi.org/10.3961/jpmph.2008.41.4.241

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55 Download
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Abstract PDF

OBJECTIVES
The purpose of the study was to identify a gap between consumer characteristics and utilization of health information on the Internet. METHODS: A telephone survey of nationally representative samples was conducted using structured questionnaires, and 1,000 of the 1,189 responses obtained were included in our analysis. The following variables were included in the analysis as potential predictors of health information use on the Internet: predisposing factors such as gender, age, and education status; enabling factors such as region and monthly household income; consumer need for health information; and attitude to health. Multiple logistic regression analysis was used to evaluate the association between utilization rate and the potential predictors. RESULTS: Thirty-nine percent of consumers had obtained health information on the Internet over a one-year period. The utilization rates were higher for consumers who were young, educated, worked in the office setting, had higher incomes, wanted health information, and were able to use the Internet. The utilization rate was 5.35 times higher in the younger group (20-30 years) than in the elderly group (95% CI=2.21-12.97); 2.21 times higher for office workers than for manual workers (95% CI=1.16-4.20); 3.61 times higher for college graduates than for middle school graduates and below (95% CI=1.07-11.59); 1.99 times higher for people with monthly household incomes over 3,000,000 won than for those with monthly household incomes below 1,500,000 won (95% CI=1.01-3.92). CONCLUSIONS: There needs to be a paradigm shift, with consideration of not only Internet accessibility in the digital age, but also consumer ability and attitudes toward utilization of health information.

Summary

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The Analysis of Health Related Behavior after Using Health Information on the Internet.: Heui Sug Jo, Hwa Jong Kim, Yea Li A Song; J Prev Med Public Health. 2008;41(2):121-127.; DOI: https://doi.org/10.3961/jpmph.2008.41.2.121

5,362 View
46 Download
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Abstract PDF

OBJECTIVES
This study investigated the health information such as the general health information, the health product information, and the hospital information, and we wanted to identify the association between internet health information and the health related behavior by analyzing the process after people search the Internet. METHODS: A telephone survey with structured questionnaire was performed by trained surveyors. The respondents were sampled proportionate to the Korean demographic distribution with considering the city size and the populations' ages and gender. The survey was conducted from October 2006 to November 2006. RESULTS: Out of 3,758 successfully connected persons of age 20 or more, 871(23.2%) respondents had used Internet health information during the last year. The purposes of searching the Internet for health was, 1) to get general health information (717 cases, 81.0%), 2) shopping for health product (109 cases, 12.3%) and 3) seeking information about hospital selection (59 cases, 6.7%). Our research showed that the process after searching the Internet for health information depends on the purpose of the search. 68.8% of the searchers for general health information, 67% of the searchers for health product shopping and 64.4% of the searchers seeking information to guide hospital selection were satisfied with their Internet search. However one third of the respondents reported not being satisfied with the result of the search. CONCLUSIONS: Unsatisfied consumers with internet health information tended to ask lay referrals from others or they gave up seeking health information. The health information system should be improved to increase the accessibility and to provide reliable and effective information. Also, a more user-centric community is needed in order to strengthen the effective role of lay referrals among the internet users.

Summary

Citations

Citations to this article as recorded by

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Original Articles

A Study on the Related Factors with Internet Addiction of the 11th Grade Students in an Urban Area.: Moo Sik Lee, Keon Yeop Kim, Kyung Jae Ko, Hyo Jin Lee, Wook Nam, Eun Young Kim, Jee Young Hong, Bak Ju Na; Korean J Prev Med. 2003;36(4):390-398.

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Abstract PDF: OBJECTIVES
To evaluate the degree of adolescent internet addiction, and investigate its relationship to the general characteristics, internet environments, and contents, especially the stress measured by the psychosocial wellbeing index-short form (PWI-SF). METHODS: The data was obtained from self-administered questionnaires from 886 11th grade urban area students. The questionnaires consisted of general characteristics, internet user's environments, frequencies by internet contents, internet addiction test and PWI-SF. RESULTS: The possible rate of internet use at home was 95.1%, and the area of most internet use was the home. The frequencies of internet game and porno site use were higher in males, with web searching and community uses higher in females. The total mean of internet addiction score was 56.8, and was higher for male than for female students. From multiple regression, as analyzed by the internet addiction score as a dependent variable, on-line friends, internet use times, years of internet use, frequencies of internet game & porno site use, and PWI-SF scores were significant in male. Internet use times, the frequencies of internet game, chatting, community use, and PWI-SF score were significant in female. Four PWI-SF subscales (social role & self reliability, depression, general health & vitality, and sleep disturbance & anxiety) and internet addiction were significantly correlated in both male and female students, with depression having the most correlation. CONCLUSION: The results of this study suggest that intervention should be provided to prevent internet addiction, especially for coping with stress in Korean teenage students.; Summary

Factors Related to Self-Perceived Health of Young Adults.: Kee Ho Park, Woohyun Cho, Il Suh, Jong Ku Park; Korean J Prev Med. 2000;33(4):415-425.

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Abstract PDF: OBJECTIVES
To determine which factors are related to young adults perception of their health. Two research questions were asked. Which aspects of health does self-perceived health as a index of general health reflect? Why do two individuals with the same level of general health have different health perceptions? METHODS: The sampling frame comprised college or graduate school students, aged 20 to 29, who were members of A, one of the 4 biggest internet communication services. The questionnaires were sent to study samples(n= 1,000) and answered by E-mail. Response rate was 37.0%. RESULTS: Firstly, physical health ranked highest and self-perceived health ranked lowest. Secondly, health, anxiety, depression, and self-perceived health showed significant differences between the sexes, with women showing a higher health status in these categories except for self-perceived health. Thirdly, the two factors significantly related to self-perceived health were physical health and self-esteem, as determined by multivariate analysis. CONCLUSIONS: The factors significantly related to self-perceived health were physical health and self-esteem. Further studies of the health characteristics of young adults are needed.; Summary

Validation Studies

Development of Internet Addiction Measurement Scales and Korean Internet Addiction Index.: Jae Sung Park; J Prev Med Public Health. 2005;38(3):298-306.

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Abstract PDF: OBJECTIVE
To develop measurement scales of Internet addiction, and propose a Korean Internet Addiction Index (K-IAI) and classification criteria for Internet addiction from the threshold scores developed. METHODS: The identification of the concept of "Internet addiction" was based on the literature review. To select the scales, an exploratory factor analysis was applied. A construct validation was tested by a confirmatory factor analysis (CFA) with a structured equation model (SEM). In testing the validity of the classification criteria, ANOVA and non-recursive models with SEM were applied. RESULTS: Out of 1, 080 questionnaires distributed, 1, 037 were returned, ; a response rate of 96%. The Cronbach-alpha of all items was over 0.75. Using an exploratory factor analysis in the condition of a 6 factor constrain as the study model proposed, 23 of the initial 28 items were identified. In testing the discriminant and convergent validity of the selected 23 scales using CFA with SEM, the Internet addiction model explained about 93% of all variances of the data collected, and all the latent variables significantly explained the designated scales. A K-IAI was proposed using the T-scores of the sum of all factor averages. In the classification of users, the basic concept was a two standard deviation approach of the K-IAI as the criteria of MMPI. The addiction group had a score > or = 70 in the K-IAI, the pre-addiction group between > or = 50 and < 70, and the average user group < 50. The Internet use times of the classified groups were statistically different in the ANOVA and multiple comparisons. CONCLUSIONS: The K-IAI is a reliable and valid instrument for measuring Internet addiction. Moreover, the taxonomy of the groups was also verified using various methods.; Summary

English Abstract

Association of Internet Addiction with Health Promotion Lifestyle Profile and Perceived Health Status in Adolescents.: Jung Sook Kim, Byung Chul Chun; J Prev Med Public Health. 2005;38(1):53-60.

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Abstract PDF: OBJECTIVES
To identify the relationship between the internet addiction of adolescents and their Health Promotion Lifestyle Profile and Perceived Health Status, and thereby to detect the impact of internet addiction on the health of adolescents, produce the basic information necessary to develop a prevention program for internet addiction and to plan for a health promotion program. METHODS: This study was designed as a cross-sectional study, and the subjects were the second-grade students of three junior-high and three high schools located in the city of K in Kyung Gi Province. Out of 769 subjects, 764 completed the questionnaires (99.3%) ; 369 (48.3%) junior-high school students and 395 (51.7%) high school students. The questionnaires were composed of Young's Internet Addiction, Health Promotion Lifestyle Profile, Perceived Health Status, and general characteristics. We used t-test, ANOVA in means comparison between groups, X2-test in frequency analysis, and multiple regression analysis in multivariate analysis, using the SAS 8.1 (R) program. RESULTS: There was a statistically significant difference in Health Promotion Lifestyle Profile according to internet addiction status (severe addiction vs. other status, p< 0.0001). The Perceived Health Status scores was lowest in the severe addiction group (p< 0.001). There was also a significant negative correlation between internet addiction and Health Promotion Lifestyle Profile (p< 0.0001). The results of multiple regression showed that Young's Addiction Score was significant for the subjects' Health Promotion Lifestyle Profile after controlling for other variables (p< 0.0001). CONCLUSIONS: This study showed that the severe internet addiction group had the lowest score in Health Promotion Lifestyle Profile and Perceived Health Status, which suggests that the addiction could have a negative effect on the health status of adolescents.; Summary

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