scholarly journals Body Information Analysis based Personal Exercise Management System

2018 ◽  
Vol 8 (2) ◽  
pp. 651
Author(s):  
Jongwon Lee ◽  
Hyunju Lee ◽  
Donggyun Yu ◽  
Hoekyung Jung
Keyword(s):  
Management System ◽  
Smart Phone ◽  
Management Systems ◽  
Information Analysis ◽  
Recommendation Algorithm ◽  
Related Information ◽  
Personalized Services ◽  
Health Related ◽  
History Of ◽  
To Receive

<p>Recently, people's interest in health is deepening. So health-related systems are being developed. Existing exercise management systems provided users with exercise related information using PC or smart phone. However, there is a problem that the accuracy of the algorithm for analyzing the user's body information and providing information is low.In this paper, we analyze users' body mass index (BMI) and basal metabolic rate (BMR) and we propose a system that provides the user with necessary information through recommendation algorithm. It informs the user of exercise intensity and momentum, and graphs the exercise history of the user. It also allows the user to refer to the fitness history of other users in the same BMI group. This allows the user to receive more personalized services than the existing exercise management system, thereby enabling efficient exercise.</p>

scholarly journals Defaults versus framing: Revisiting Default Effect and Framing Effect with replications and extensions of Johnson and Goldstein (2003) and Johnson, Bellman, and Lohse (2002)

2022 ◽  
Author(s):  
Subramanya Prasad Chandrashekar ◽  
Nadia Adelina ◽  
Shiyuan Zeng ◽  
CHIU Yan Ying Esther ◽  
Grace Yat Sum Leung ◽  
...  
Keyword(s):  
Organ Donation ◽  
Health Survey ◽  
Framing Effect ◽  
Default Option ◽  
Related Information ◽  
Health Related ◽  
To Receive ◽  
Highly Cited

People tend to stick with a default option instead of switching to another option. For instance, Johnson and Goldstein (2003) found a default effect in an organ donation scenario: if organ donation is the default option, people are more inclined to consent to it. Johnson et al. (2002) found a similar default effect in a health-survey scenarios: if receiving more information about your health is the default, people are more inclined to consent to it. Much of the highly cited, impactful work on these default effects, however, has not been replicated in well-powered samples. In two well-powered samples (N = 1920), we conducted a close replication of the default effect in Johnson and Goldstein (2003) and in Johnson, Bellman, and Lohse (2002). We successfully replicated Johnson and Goldstein (2003). In an extension of the original findings, we also show that default effects are unaffected by the permanence of these selections. We, however, failed to replicate the findings of Johnson, Bellman, and Lohse’s (2002) study; we did not find evidence for a default effect. We did, however, find a framing effect: participants who read a positively-framed scenario consented to receive health-related information at a higher rate than participants who read a negatively framed scenario. We also conducted a conceptual replication of Johnson et al. (2002) that was based on an organ-donation scenario, but this attempt failed to find a default effect. Our results suggest that default effects depend on framing and context. Materials, data, and code are available on: https://osf.io/8wd2b/.

scholarly journals Social Media Infodemic During COVID-19 Outbreak

2020 ◽  
Vol 15 (4) ◽  
pp. 95-97
Author(s):  
Jeevan Bhatta ◽  
Sharmistha Sharma ◽  
Shashi Kandel ◽  
Roshan Nepal
Keyword(s):  
Public Health ◽  
Social Media ◽  
Current Situation ◽  
Fake News ◽  
Related Information ◽  
Personal Experiences ◽  
Health Related ◽  
Social Media Platforms ◽  
To Receive ◽  
Common Platform

Social media is a common platform that enables its users to share opinions, personal experiences, perspectives with one another instantaneously, globally. It has played a paramount role during pandemics such as COVID-19 and unveiled itself as a crucial means to communicate between the sources and the individuals. However, it also has become a place to disseminate misinformation and fake news rapidly. Infodemic, a plethora of information, some authentic some not makes it even harder to general people to receive factual and trustworthy information when required, has grown to be a major risk to public health and social media is developing as a trendy platform for this infodemic. This commentary aims to explore how social media has affected the current situation. We also aim to share our insight to control this misinformation.  This commentary contributes to evolving knowledge to counter fake news or health-related information shared over various social media platforms.

scholarly journals Mobile Phone Usage and Willingness to Receive Health-Related Information Among Patients Attending a Chronic Disease Clinic in Rural Puducherry, India

2015 ◽  
Vol 9 (6) ◽  
pp. 1350-1351 ◽  
Author(s):  
Niranjjan Ramachandran ◽  
Manikandan Srinivasan ◽  
Pruthu Thekkur ◽  
Phoebe Johnson ◽  
Palanivel Chinnakali ◽  
...  
Keyword(s):  
Chronic Disease ◽  
Mobile Phone ◽  
Related Information ◽  
Disease Clinic ◽  
Health Related ◽  
Mobile Phone Usage ◽  
To Receive

Weed communities associated with arable Saskatchewan farm management systems

2000 ◽  
Vol 80 (1) ◽  
pp. 177-185 ◽  
Author(s):  
J. Y. Leeson ◽  
J. W. Sheard ◽  
A. G. Thomas
Keyword(s):  
Life History ◽  
Correspondence Analysis ◽  
Canonical Correspondence Analysis ◽  
Management System ◽  
Management Practices ◽  
Farming System ◽  
Management Systems ◽  
Weed Communities ◽  
History Of ◽  
The Impact

The objective of this study was to determine the impact of a range of management systems on weed communities in cropped fields on farms in Saskatchewan. Farms (n = 28) with management systems defined by a combination of different cropping histories and chemical input levels were selected. Fields were surveyed on each farm in 1995, 1996, and 1997 after any post-emergent weed control to ensure that their weed communities reflected the impact of all agronomic management practices typical of the management system. Canonical correspondence analysis was used to determine whether weed communities were significantly correlated with management system after removal of variance due to ecoregion and year. The largest difference in weed communities attributable to farming system was between the systems with annual cropping histories and those that included perennials in the cropping history. Thus, the life history of the weeds reflected the life history of the crops. Herbicide use was correlated with the next largest difference between systems. A significant association between weed communities and different management systems indicates that weed species are being selected for by these systems. If such selection pressure continues, these species may become a threat to the system's sustainability. Key words: Weed communities, chemical input level, cropping history, canonical correspondence analysis, correspondence analysis, farming system

scholarly journals Effects of Contributor Experience on the Quality of Health-Related Wikipedia Articles (Preprint)

2017 ◽  
Author(s):  
Peter Holtz ◽  
Besnik Fetahu ◽  
Joachim Kimmerle
Keyword(s):  
English Language ◽  
Full Model ◽  
Language Version ◽  
Related Information ◽  
Significant Difference ◽  
Health Related ◽  
History Of ◽  
Widespread Phenomenon ◽  
Collaborative Knowledge

BACKGROUND Consulting the Internet for health-related information is a common and widespread phenomenon, and Wikipedia is arguably one of the most important resources for health-related information. Therefore, it is relevant to identify factors that have an impact on the quality of health-related Wikipedia articles. OBJECTIVE In our study we have hypothesized a positive effect of contributor experience on the quality of health-related Wikipedia articles. METHODS We mined the edit history of all (as of February 2017) 18,805 articles that were listed in the categories on the portal health & fitness in the English language version of Wikipedia. We identified tags within the articles’ edit histories, which indicated potential issues with regard to the respective article’s quality or neutrality. Of all of the sampled articles, 99 (99/18,805, 0.53%) articles had at some point received at least one such tag. In our analysis we only considered those articles with a minimum of 10 edits (10,265 articles in total; 96 tagged articles, 0.94%). Additionally, to test our hypothesis, we constructed contributor profiles, where a profile consisted of all the articles edited by a contributor and the corresponding number of edits contributed. We did not differentiate between rollbacks and edits with novel content. RESULTS Nonparametric Mann-Whitney U-tests indicated a higher number of previously edited articles for editors of the nontagged articles (mean rank tagged 2348.23, mean rank nontagged 5159.29; U=9.25, P<.001). However, we did not find a significant difference for the contributors’ total number of edits (mean rank tagged 4872.85, mean rank nontagged 5135.48; U=0.87, P=.39). Using logistic regression analysis with the respective article’s number of edits and number of editors as covariates, only the number of edited articles yielded a significant effect on the article’s status as tagged versus nontagged (dummy-coded; Nagelkerke R2 for the full model=.17; B [SE B]=-0.001 [0.00]; Wald c2 [1]=19.70; P<.001), whereas we again found no significant effect for the mere number of edits (Nagelkerke R2 for the full model=.15; B [SE B]=0.000 [0.01]; Wald c2 [1]=0.01; P=.94). CONCLUSIONS Our findings indicate an effect of contributor experience on the quality of health-related Wikipedia articles. However, only the number of previously edited articles was a predictor of the articles’ quality but not the mere volume of edits. More research is needed to disentangle the different aspects of contributor experience. We have discussed the implications of our findings with respect to ensuring the quality of health-related information in collaborative knowledge-building platforms.

scholarly journals Assessing Health Impacts of Winter Smog in Lahore for Exposed Occupational Groups

Atmosphere ◽  
2021 ◽  
Vol 12 (11) ◽  
pp. 1532
Author(s):  
Fatima Jabeen ◽  
Zulfiqar Ali ◽  
Amina Maharjan
Keyword(s):  
Urban Areas ◽  
Respiratory Health ◽  
Health Impact ◽  
Multivariate Logistic Regression Model ◽  
Indoor Environments ◽  
Group Discussions ◽  
Occupational Groups ◽  
Related Information ◽  
Health Related ◽  
History Of

The goal of this research was to investigate the health effects of winter pollution on various occupations in Lahore and its neighboring peri-urban areas. A questionnaire survey, key informants, and focused group discussions were employed to collect data, which included demographic, socioeconomic, and health-related information. Descriptive statistics and the multivariate logistic regression model (MLRM) were used to examine the effects of pollution on exposed occupational groups who experienced symptoms such as coughing, shortness of breath, and eye discomfort. According to data from interviews, MLRM revealed that individuals working in various occupations with outdoor and indoor environments are equally affected by winter smog, but being middle-aged (odds ratio OR = 5.73), having a history of a respiratory ailment (OR = 4.06), and location (OR = 2.26) all play important roles in determining health. However, less educated people, elders, and people who already live in polluted areas are more likely to develop respiratory health symptoms. During the smog incident, it was determined that diverse health and socioeconomic factors exacerbate an individual’s negative health impact more than others.

scholarly journals Personal Digital Health Assistants

2022 ◽  
Vol 3 (1) ◽  
pp. 01-03
Author(s):  
Uday Jain
Keyword(s):  
Health Plan ◽  
Mobile Device ◽  
Digital Health ◽  
Smart Phone ◽  
Personal Digital Assistant ◽  
Automated Systems ◽  
Large Organization ◽  
Related Information ◽  
Health Related

Personal Digital Health Assistants (PDHA) are applications that can run on virtually any computer or mobile device including a smart phone/ personal digital assistant (PDA). A PDHA acquires, stores, and analyzes health related information of an individual. It usually communicates with remote servers of a large organization which can connect it to various resources. PDHAs are an integral part of telehealth. Their utility has increased manyfold since the start of the pandemic. The systems are increasingly more complex and are involved in all aspects of care. The PDHA are usually utilized by patients or their caregivers with assistance from professionals. Many automated systems can be utilized free of charge. Some are available as part of a prepaid health plan.

scholarly journals Elderly’s Attitude towards the Selected Types of e-Health

Healthcare ◽  
2020 ◽  
Vol 8 (1) ◽  
pp. 38 ◽  
Author(s):  
Blanka Klimova ◽  
Petra Maresova ◽  
Sunwoo Lee
Keyword(s):  
Older Adults ◽  
Health Services ◽  
The Internet ◽  
Related Information ◽  
Health Domains ◽  
Health Related ◽  
Information And Communication ◽  
General Preference ◽  
To Receive ◽  
Selection Of

This current study was sought to explore how older adults’ adaptation of information and communication technology (ICT) devices was associated with their preference for e-Health services. A total of 224 Czech older adults aged 60+ were analyzed for the study. The sample comprised 21% male and 79% female. A self-reported survey questionnaire was employed to assess the prevalence of the use of ICT devices and the Internet and general preference for e-Health services. A series of t-tests were performed between and within two groups divided into e-Health supporters and non-supporters. The results indicated that nearly half of the respondents preferred to use the Internet for searching for health-related information. We found that older adults’ use of ICT devices and educational level was significantly associated with the selection of the e-Health services. However, gender, household type, and the place for a residence did not count additional variance for the preferred e-Health services. For those who express willingness to receive the e-Health service, the preferred e-Health services should be implemented across relevant health domains. To do so, health professionals ought to provide the necessary equipment and educational programs that help older adults better access and adapt to e-Health services.

Using Popular Mobile Devices in Voice Therapy

2013 ◽  
Vol 23 (3) ◽  
pp. 82-87 ◽  
Author(s):  
Eva van Leer
Keyword(s):  
Exercise Behavior ◽  
Voice Therapy ◽  
Pure Oxygen ◽  
Mobile Platforms ◽  
Self Monitoring ◽  
Web Based ◽  
Motivational Messages ◽  
Related Information ◽  
Health Related ◽  
Tailored Approach

Mobile tools are increasingly available to help individuals monitor their progress toward health behavior goals. Commonly known commercial products for health and fitness self-monitoring include wearable devices such as the Fitbit© and Nike + Pedometer© that work independently or in conjunction with mobile platforms (e.g., smartphones, media players) as well as web-based interfaces. These tools track and graph exercise behavior, provide motivational messages, offer health-related information, and allow users to share their accomplishments via social media. Approximately 2 million software programs or “apps” have been designed for mobile platforms (Pure Oxygen Mobile, 2013), many of which are health-related. The development of mobile health devices and applications is advancing so quickly that the Food and Drug Administration issued a Guidance statement with the purpose of defining mobile medical applications and describing a tailored approach to their regulation.

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