Internet and Health

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Influence of the Internet on Health Seeking Behaviors of Youths in Ekiti State, Nigeria

Influence of the Internet on Health Seeking Behaviors of Youths in Ekiti State, Nigeria

Abstract: The use of online resources to locate health-related information is known to be increasing among Nigeria youths; sadly, not enough studies that investigates the influence of the internet on health seeking behaviors of Nigeria youths have been done. This study therefore investigates the influence of the internet on health seeking behaviors of youths in Ekiti-state, Nigeria, examines the extent to which the internet provides answers to health related questions among the youths, determines the perception of Nigeria youths on internet’s influence on health seeking among them, and ultimately, this study finds out whether the use of internet increases or decreases self-medication among Nigerian youths. A standardized nine-question survey on Internet use and health seeking behavior was given to 300 youths. A review of the literature is also included. It was discovered that out of 300 responses received, 203 youths (67.7%) reported ever consulting the internet to find health information. 194 (64.6%) youths consult the internet for answers to health problems before thinking of consulting a doctor or a caregiver. A large number of the youths (93.1%) follow the online physician advice more closely by practicing self-medication. A total of 191 (94%) youths submitted that the internet influences their behavior of health seeking. Conclusively, the tests of hypothesis show a significant relationship between the use of internet and health seeking behaviors of youths also between the use of internet and self-medication among youths in Ekiti- State, Nigeria.
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Health information on the internet: Researching information seekers and practices in a mediated health context

Health information on the internet: Researching information seekers and practices in a mediated health context

In her study with 60 laypersons in Australia, Lupton (1997a) shows how ‘trust and faith’ (ibid.: 380) remains central in doctor-patient interactions, especially for very ill persons, despite the emerging attitude of patients acting as informed consumers. First noting how finding the author of the source can be difficult, Lucy demonstrates such faith and trust as she expresses her awareness of her lay position in relation to her GP or other medical professionals and bodies. In other words, information about health and medicine which is easily available on the Internet does not seem to hinder study participants’ trust in expert and medical sources. On the contrary, for study participants, it is because the Internet is an untrustworthy medium that it tends to encourage them to reinstate trust in medical professionals, whether they are healthy or mildly or severely ill. The attitude of suspicion towards the Internet being the reason for reinstating patients’ trust in professionals and experts is, however, nuanced. While it is difficult to sustain the claim of study participants’ complete loss of trust in medical professionals, the Internet, with its wideness of sources and resources, allows some of the interviewees to draw a distinction between different kinds of doctors and experts and, in some cases, to distrust them. As Lupton observes, patients tend to make the distinction between the “‘good’ and the ‘bad’ doctor” (ibid.: 379). Similarly distinctions between experts are drawn in this study, subsequently enabling the concurrent challenge to, and confidence towards, study participants’ chosen experts.
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The Use of the Internet for Alternative Views on Health

The Use of the Internet for Alternative Views on Health

Media consumption for the rationalization of minority status fits in with public opinion models like spiral of silence, bandwagon effect, and false consensus effect. Noelle-Neumann’s spiral of silence (1974, 1984) postulated that people fear the isolation that comes with holding a minority opinion, and people who have minority beliefs will stay silent about them in order to avoid sanctions. However, research by Asch (1951) demonstrated that having just one other person in a group agreeing with an otherwise lone believer dramatically increases the chances that he will speak up about his views. For people who hold minority beliefs, the internet may be a convenient and effective medium for finding others who are sympathetic to their ideas. Since the internet allows it users to communicate anonymously, it is possible for people to discuss transgressive topics such as political extremism or sexual deviance without the same repercussions they may experience in a face-to-face context (Wojcieszak, 2010; Malesky & Ennis, 2004). A person who holds a nonmainstream health belief may not feel as strong of a normative motivation to use the internet, but it is still a possible motivation, especially if the health issue is very important to the person. In the process of finding a more sympathetic health professional or other nonmainstream belief holders who want to change health policy, the connection with other like-minded people may lessen the feeling of isolation and
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Internet-based health education in China: a content analysis of websites

Internet-based health education in China: a content analysis of websites

Online courses are convenient for universities and educa- tional institutions to deliver. However, it is noteworthy that financial and technical support and quality assurance are essential to conducting successful Internet-based education programmes [18]. The findings from the searches revealed that the platforms for supporting Internet-based education in most colleges/universities were self-developed, which could be time-consuming, technically challenging and not cost-effective. Actually, there are some powerful existing Internet-based education supporting platforms, like BB and Moodle, which have been used worldwide [19,20]. However, only four out of these 16 institutions have introduced BB, and not one has introduced Moodle, to support Internet- based health education. It is advisable to take advantage of such powerful platforms. Besides, there have been a number of studies assessing the effectiveness of Internet-based health education [5,6] and guidelines have been developed on how online courses should be executed and evaluated [7]. How- ever, nearly all of the research on distance learning and e- mentoring has come from the West. Very few studies have been carried out within a Chinese context. It has been sug- gested that in addition to the culture, the thinking patterns and learning habits of students, the traditional education model, and pedagogical theories differ between China and the West [21,22]. In view of this, there is a pressing need to perform studies in China to explore and guide the opti- mal development of Internet-based education to meet the specific demands of Chinese learners.
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Title: E-Health with Internet of Things

Title: E-Health with Internet of Things

IoT technology enables the information discovery about a tagged person or a tagged object by browsing database entry or internet addresses that is connected to a specific active RFID tag with sensing capability. RFID is a wireless non-contact system that stores sensitive data and uses radiofrequency waves to transfer data from an RFID tag attached to a person or an object, for automatic identification and tracking. RFID is a superior technology compared to the traditional barcode system because it provides both read or write capability, it requires no line-of-sight contact with RFID readers and can read many RFID tags simultaneously. In e-Health, RFID technology is being used within IoT for tracking of medical assets and patients’ medical records, new-born and patient identification, medical treatment tracking and validation, and surgical process management. The RFID technology comprises of the following three main components:
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Using the Internet of Things to Support Emotional Health

Using the Internet of Things to Support Emotional Health

A first step towards emotional well-being is to monitor, understand and reflect upon one’s feelings and emotions. A number of personal emotion-tracking applications are available today. In this paper we describe an examination of these applications which indicates that many of the applications do not provide sufficient support for monitoring a full spectrum of emotional data or for analysing or using the data that is provided. To design applications that better support emotional well-being, the full capabilities of the Internet of Things should be utilized. The paper concludes with a description of how Internet of Things technologies can enable the development of systems that can more accurately capture emotional data and support personal learning in the area of emotional health.
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The Relationship between Mental Health and Internet Addiction

The Relationship between Mental Health and Internet Addiction

Internet addiction is a phenomenon that arises from the easy access to computers and online information. It's a new kind of addiction, also drawn to Iran. According to experts, risks and problems of Internet addiction over dangers of drug addiction, because addiction in the human body is more damage is but in Internet addiction spirit of people would be suffered and mental health of individuals would decrease (Koch, Yen, Chen et al. 2008).

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INFLUENCE OF INTERNET ADDICTION ON THE MENTAL HEALTH OF ADOLESCENTS

INFLUENCE OF INTERNET ADDICTION ON THE MENTAL HEALTH OF ADOLESCENTS

The present piece of research work is to study influence of Internet Addiction on the Mental health of Adolescents students. 100 college students comprised the sample for the study. Tools used to measure the above mentioned variables were Internet Addiction Test by Dr. Kimberly Young (1998) to measure Internet Addiction. It consists of 20 items that measures mild, moderate and severe level of internet addiction. Mental Health was measured by Mental Health Inventory by Dr. Jagdish and Dr. A.K. Srivastava. The major findings of the present study are a negative correlation of -0.456 has been found between these two variables. A significance difference has been found between the mental health of low and high internet user college students. A significance difference between the mental health of high internet user girls and boys college students at the 0.05 level of significance. A significance significant difference between the mental health of low internet user boys and girls college students at the 0.05 level of significance. furthermore it was found that no significant difference has been found between the mental health of high internet user college students in rural and urban areas and no significant difference has been found between the mental health of low internet user college students in rural and urban areas
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Intervention through internet to improve health cognitive factors in adolescents

Intervention through internet to improve health cognitive factors in adolescents

Because of the strong influence and accessibility of Internet, we recommend the design of Internet sites controlled by the health services in order to improve the attention given to this predominant group of adolescents (Jiménez et al, 2010). Various authors have carried out interventions using the web aiming to improve behaviors and skills related to the life style of adolescents (Abraham et al, 2015, Chen et al, 2011, Sousa et al, 2015) or through social networks like Facebook (Routsalainen et al, 2015). However, this modality of intervention has been developed in other cultural contexts, at least different from the Latin American environment. Besides, the reports do not specify the creation of a specific program to favor the health cognitive factors in adolescents.
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Utilizing internet for health and education a descriptive study

Utilizing internet for health and education a descriptive study

A descriptive cross sectional survey was conducted among dental students in two Dental Institutions (Bapuji Dental College and Hospital and College of Dental sciences and Hospital) in central part of Karnataka, South India. Prior to the study, official permission was obtained from the concerned authorities. A total of 270 available Post Graduate dental students from 2 dental colleges were included in the study. Informed consent was obtained from each participating post graduate students in the study. The proposed study was reviewed by the Ethical committee of Bapuji Dental College and Hospital, Davangere and necessary clearance was obtained. Prior to the scheduled survey, the investigator visited the respective Department to obtain the permission and fix the date and time. The Post Graduate students were requested to be present on the scheduled date and time for assessment of Utilizing Internet for Health and Education. A 24 items, multiple choices, both closed ended and open ended questionnaire was prepared. It contained questions on awareness, attitude, application and the future of Internet technology. A pilot survey was undertaken to test the feasibility of the study including the assessment of clarity, validity and applicability of the questionnaire. Confidentiality of information was guaranteed for every individual participated in the study. Participants were requested to answer honestly without any discussion with other participants. Data comparison was done by applying statistical tests (Chi-Square test) between groups and Significance for statistical tests was predetermined at probability value of 0.05 or less.
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Internet of Things Based Health System

Internet of Things Based Health System

Abstract — Nowadays some individuals are dying thanks to lack of care or data concerning their health. This can be principally happens because, they don’t have effective health observation devices. This situation will be decreased by increase the potency of healthcare by transferring info from patient to the doctor or clinic through IoT. The Internet of Things (IoT) could be a device that gathers and share info directly with transmitter and receiver, this allows the doctor to gather record and analyze new information streams quicker and a lot of accurate. This technology paves the thanks to improve the quality of care with constant attention and scale back the value of care by eliminating the necessity of a daily health check. The IoT technology presumably obtains the measured information from the sensor for observation and analyzing the health standing of the patient with basic important signs like Pulse sensor.
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Analysis of Psychological Health and Life Qualities of Internet Addicts Using Structural Equation Model

Analysis of Psychological Health and Life Qualities of Internet Addicts Using Structural Equation Model

As the research go deep, mathematical models are used to describe Internet addiction. Weiser (2001) builds a cognitive-behavior model of pathological Internet ad- diction (PIU). Zhang (2006) use Structural Equation Model (SEM) to analyze the relationship of motives, behaviors of Internet addiction and related social- psychological health. Wen (2008) builds appropriate standardized estimates for moderating effects in Struc- tural Equation Models.

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Spanish Health Information on the Internet: An Exploratory Study.

Spanish Health Information on the Internet: An Exploratory Study.

can use to assess the quality of websites on pages that consumers do access, especially for Spanish language pages? Most Internet users do not always check criteria that would allow them to assess the quality of websites. These criteria include the source and date of online health information. (Pew Internet & American Life Project, 2003) Therefore, Internet sources providing health information should have information on source and timeliness that is clear and easy for the consumer to locate. ("JAMA patient page. Health information on the Internet," 2001) Specifically, this study will examine the visibility of source, date, and a complementarity statement. A complementarity statement is a disclaimer stating that the information provided on the site is designed to support, not replace, the relationship that exists between a patient/site visitor and his/her existing physician. The statement points out the limitations of the site and encourages the consumer to seek out physician support. Throughout the paper, this concept will be referred to as a “complementarity statement” or “statement on complementarity”.
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Internet of Things for Health Care

Internet of Things for Health Care

is research topic for next generation wireless Internet architecture and ‘Internet of Things’(IoT) designs that attract significant attentions among the researchers. The recent developments in WiFi-WiMAX integration. The current mobile communication system, especially voice communication system is so very well acquainted with the GSM system that it would seem hard to introduce path breaking changes into the way the GSM networks are run. GSM networks use radio frequency (RF) based carriers for mobile communication. The heavy dependency on RF is not only causing severe bandwidth crisis but is also exerting a tremendous pressure on the existing energy generation units. With the number of mobile subscribers increasing exponentially and IoT (Internet of Things) connected devices storming into the market, there is a need for a huge bandwidth that will support all the systems. Visible light communication (VLC) has been proved to be an effective alternative that will prevent the impending crisis. In the past few years, many researchers have come up with VLC based solutions as alternatives to RF in mobile networks. But all of them deal with using VLC in an internet based networking scenario, especially indoor communication. This paper are expected to be useful for researchers,engineers,health professionals and policy makers working in the area of the IoT and health care technologies and also it provides detailed research activities concerning how the IoT can address pediatric and elderly care chronic disease ,private health and fitness management.
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Prediction of the general health of Internet user students based on the dependence on the Internet (Case Study: Tehran and Baku)

Prediction of the general health of Internet user students based on the dependence on the Internet (Case Study: Tehran and Baku)

Dependence on the Internet is defined with phrases such as disruption caused by overuse of the Internet or the internet irrational use of Internet. Sometimes this disease is called Internet or virtual dependency, which can lead to uncomfortable feelings, weaken and eventually destroy the daily functions of mental health. As some have theorized in this context and according to some of Clinical Psychiatry, profiles of Internet addicts may include people who have one or more of these characteristics: depression, bipolar disorder, sexual obsession and loneliness (Soler 1999). Generally, this disorder can be "a sort of Internet use that could cause psychosocial and social problems, in one's studies or in jobs in one's life." and create a kind of behavior dependency on the Internet that it can be explained with features beneath:
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Why are health care interventions delivered over the internet? : a systematic review of the published literature

Why are health care interventions delivered over the internet? : a systematic review of the published literature

The design, delivery, and evaluation of an Internet-delivered intervention also need to consider the following questions: What may be the unintended harmful consequences of Internet delivery? What may be the negative effects of speedier communication and flexibility of location? For example, it is possible that providing low-cost Internet-based support for groups that are not currently provided with adequate support, such as caregivers of those with Alzheimer’s disease, may reinforce the low priority of these groups for health and social services and thus increase their isolation. Providing an intervention via the Internet for individuals living with a health problem they feel is stigmatized could have the unintended consequence of the issue being less talked about outside the anonymity of the Internet and thus reinforcing the stigma (see Textbox). Although identifying such unintended consequences was not an aim of this study, it was notable that we did not identify any reports of such consequences in the papers reviewed.
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<p>Internet use and eHealth literacy among health-care professionals in a resource limited setting: a cross-sectional survey</p>

<p>Internet use and eHealth literacy among health-care professionals in a resource limited setting: a cross-sectional survey</p>

A self-administered structured questionnaire was adapted after reviewing the relevant literature. 9,25,26 It had been validated and pretested on 30 health professionals working at Debre Markos Referral Hospital for its consistency. 27 The questionnaire has three main parts. The fi rst part contains items on sociodemographic information of parti- cipants. The second part is related to participants ’ use of the Internet, and the third part contains items to evaluate eHealth literacy of the participants. We asked participants 15 categorical (yes/no) items to determine their use of and access to the Internet. The eHealth literacy scale (eHEALS) was used as a measuring tool, as it has high internal consistency ( α =0.88). 25 The eHEALS measures the ability to locate, evaluate, integrate, and apply infor- mation gained from the Internet. Respondents evaluate their level of agreement with alternatives (strongly agree, agree, undecided and disagree) on the eight items. One can score a minimum of 8 and a maximum of 40 in this section. After collection, data were checked, cleaned, and
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THE UTILIZATION OF INTERNET FOR HEALTH INFORMATION AMONG PIONEER MEDICAL STUDENTS IN A NIGERIAN UNIVERSITY

THE UTILIZATION OF INTERNET FOR HEALTH INFORMATION AMONG PIONEER MEDICAL STUDENTS IN A NIGERIAN UNIVERSITY

Background: The benefits of internet for health information are enormous. These include health and academic needs of medical students. The utilisation of internet for health information had not been researched on the pioneer medical students of Abubakar Tafawa Balewa University, ATBU, Bauchi, Nigeria .The study therefore examined the pattern of internet use for health information among these students. Objectives: The study assessed: the frequency of use of internet and internet for health information; the nature of the health information accessed; the search engines and websites accessed for obtaining health information; the perceived helpfulness of internet for health information and the perceived barriers in the use internet for health information. Method: Self-designed, 25- item questionnaires were administered to 40 pioneer medical students of ATBU. Data was analysed using SPSS version 23 and Microsoft Excel 2013. Results: The response (n=40) was high for daily internet access and for daily internet use for health information. The health information sourced was mostly for academic research and personal health information. Most students perceived the internet as an easy and helpful tool and mostly utilised Google search engine and PubMed website. Poor internet access and internet search skills and costly phones were perceived barriers to internet use for health information. Conclusion: The students had good use of internet for health information. However, there are gaps in the optimal use of websites and search engines for health information. Strengthening e-health and improving internet search skills will optimize health information from the internet.
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Measuring health beliefs on the Internet: A comparison of paper and Internet administrations of the Multidimensional Health Locus of Control Scale

Measuring health beliefs on the Internet: A comparison of paper and Internet administrations of the Multidimensional Health Locus of Control Scale

Earlier, we outlined several sources of difficult-to- control (or in most cases, impossible-to-control) variation in IMR studies: presentation format, participation con- text, and participant behavior. Although all these sources of variation no doubt occurred in our study, at least to some extent, the data we obtained were shown to be valid and reliable. This suggests that in the present research context at least, these variations do not significantly af- fect the quality of the data obtainable. This adds to the many previous studies showing similar results across other research contexts. Some authors have suggested that the potential for increased variability in IMR studies may cause IMR data to be more noisy than traditional data (e.g., Reips, 2002). However, we found little support for this. The greatest difference between the standard devia- tions of MHLC scores across our two samples occurred for the Internality subscale, with Internet participants showing slightly greater variability in scores (SD ⫽ 5.09) than did non-Internet participants (SD ⫽ 4.03). The IMR literature is inconsistent on this issue, with some studies reporting greater variability for Internet data (e.g., Shavit et al., 2001) or for non-Internet data (e.g., Davis, 1999), and other studies showing no difference (e.g., Metzger et al., 2003). No doubt, a number of factors will interact to influence such results, including procedural variations, sample characteristic variations, and the sensitivity of any particular measurement of interest to these sources of variation.
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Can the Use of Internet Applications Increase the Participation of Men in Healthy Lifestyle Behavior?

Can the Use of Internet Applications Increase the Participation of Men in Healthy Lifestyle Behavior?

Internet application usage by minorities has demonstrated significant results in participation in healthy lifestyle behavior (MuCully et al., (2013). Self-management was demonstrated by this study to have a significant effect upon participation of men in healthy lifestyle behavior. Results from this study offer a solution to increase participation of minority men in healthy lifestyle behavior. Smartphone applications used to track health behavior have been downloaded at high rates by Non-Hispanic Blacks and Hispanics (Fox, 2011; Purcell, 2011). Smartphone applications, which incorporate self-management have the potential to increase participation in healthy lifestyle behavior. Designing smartphone applications that all minority men have the ability to understand can increase participation in health lifestyle behavior. Minorities are disproportionately affected by low health literacy (Berkman et al., 2011; Chaudhry et al., 2011). Implications for positive social change is the opportunity for minority men to have frequent access to Internet applications they understand and to address the health literacy challenges many minority men experience (Broderick et al., 2013). Increased participation of minority men in healthy lifestyle behavior can reduce development of chronic diseases in this population within the United States.
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