المؤلفون: Lee, Edmund WJ, Bekalu, Mesfin Awoke, McCloud, Rachel, Vallone, Donna, Arya, Monisha, Osgood, Nathaniel, Li, Xiaoyan, Minsky, Sara, Viswanath, Kasisomayajula

المصدر: Journal of Medical Internet Research, Vol 22, Iss 7, p e17451 (2020)

مصطلحات موضوعية: Computer applications to medicine. Medical informatics, R858-859.7, Public aspects of medicine, RA1-1270

الوصف: BackgroundPeople from underserved communities such as those from lower socioeconomic positions or racial and ethnic minority groups are often disproportionately targeted by the tobacco industry, through the relatively high levels of tobacco retail outlets (TROs) located in their neighborhood or protobacco marketing and promotional strategies. It is difficult to capture the smoking behaviors of individuals in actual locations as well as the extent of exposure to tobacco promotional efforts. With the high ownership of smartphones in the United States—when used alongside data sources on TRO locations—apps could potentially improve tobacco control efforts. Health apps could be used to assess individual-level exposure to tobacco marketing, particularly in relation to the locations of TROs as well as locations where they were most likely to smoke. To date, it remains unclear how health apps could be used practically by health promotion organizations to better reach underserved communities in their tobacco control efforts. ObjectiveThis study aimed to demonstrate how smartphone apps could augment existing data on locations of TROs within underserved communities in Massachusetts and Texas to help inform tobacco control efforts. MethodsData for this study were collected from 2 sources: (1) geolocations of TROs from the North American Industry Classification System 2016 and (2) 95 participants (aged 18 to 34 years) from underserved communities who resided in Massachusetts and Texas and took part in an 8-week study using location tracking on their smartphones. We analyzed the data using spatial autocorrelation, optimized hot spot analysis, and fitted power-law distribution to identify the TROs that attracted the most human traffic using mobility data. ResultsParticipants reported encountering protobacco messages mostly from store signs and displays and antitobacco messages predominantly through television. In Massachusetts, clusters of TROs (Dorchester Center and Jamaica Plain) and reported smoking behaviors (Dorchester Center, Roxbury Crossing, Lawrence) were found in economically disadvantaged neighborhoods. Despite the widespread distribution of TROs throughout the communities, participants overwhelmingly visited a relatively small number of TROs in Roxbury and Methuen. In Texas, clusters of TROs (Spring, Jersey Village, Bunker Hill Village, Sugar Land, and Missouri City) were found primarily in Houston, whereas clusters of reported smoking behaviors were concentrated in West University Place, Aldine, Jersey Village, Spring, and Baytown. ConclusionsSmartphone apps could be used to pair geolocation data with self-reported smoking behavior in order to gain a better understanding of how tobacco product marketing and promotion influence smoking behavior within vulnerable communities. Public health officials could take advantage of smartphone data collection capabilities to implement targeted tobacco control efforts in these strategic locations to reach underserved communities in their built environment.

وصف الملف: electronic resource

العلاقة: https://www.jmir.org/2020/7/e17451Test; https://doaj.org/toc/1438-8871Test

الوصول الحر: https://doaj.org/article/5ee31b6d2ebe4416b4db5d3f7a0c1d3fTest

المؤلفون: Xin, Meiqi, Viswanath, Kasisomayajula, Li, Angela Yuen-Chun, CAO, Wangnan, HU, Yuhong, Lau, Joseph Tak-Fai, Mo, Phoenix Kit-Han

المصدر: Journal of Medical Internet Research, Vol 22, Iss 5, p e15977 (2020)

مصطلحات موضوعية: Computer applications to medicine. Medical informatics, R858-859.7, Public aspects of medicine, RA1-1270

الوصف: BackgroundThe disproportionately high prevalence of HIV among men who have sex with men (MSM) is a global concern. Despite the increasing utilization of electronic health (eHealth) technology in the delivery of HIV prevention interventions, few studies have systematically explored its effectiveness and association with various intervention characteristics. ObjectiveThis study aimed to conduct a meta-analysis of the effectiveness of eHealth technology–based interventions for promoting HIV-preventive behaviors among MSM and to determine effectiveness predictors within a framework integrating design and implementation features. MethodsA systematic literature search using terms related to eHealth technology, HIV, the MSM population, and an experimental study design was performed using 5 databases (ie, MEDLINE, PsycINFO, EMBASE, Web of Science, and ProQuest Dissertations & Theses) and other sources (eg, bibliographies of relevant reviews and JMIR Publications). First, primary meta-analyses were conducted to estimate the effectiveness of eHealth interventions (d+) in changing 3 HIV-preventive behaviors among MSM: unprotected anal intercourse (UAI), HIV testing, and multiple sex partnership (MSP). Moderation analyses were then conducted to examine a priori effectiveness predictors including behavioral treatment components (eg, theory use, tailoring strategy use, navigation style, and treatment duration), eHealth technology components (eg, operation mode and modality type), and intervention adherence. ResultsA total of 46 studies were included. The overall effect sizes at end point were small but significant for all outcomes (UAI: d+=−.21, P

وصف الملف: electronic resource

العلاقة: https://www.jmir.org/2020/5/e15977Test; https://doaj.org/toc/1438-8871Test

الوصول الحر: https://doaj.org/article/d3797506eb2d4d9b98d889e168e4d0faTest

المؤلفون: Lee, Edmund W J, Viswanath, Kasisomayajula

المصدر: Journal of Medical Internet Research, Vol 22, Iss 1, p e16377 (2020)

مصطلحات موضوعية: Computer applications to medicine. Medical informatics, R858-859.7, Public aspects of medicine, RA1-1270

الوصف: Recent advances in the collection and processing of health data from multiple sources at scale—known as big data—have become appealing across public health domains. However, present discussions often do not thoroughly consider the implications of big data or health informatics in the context of continuing health disparities. The 2 key objectives of this paper were as follows: first, it introduced 2 main problems of health big data in the context of health disparities—data absenteeism (lack of representation from underprivileged groups) and data chauvinism (faith in the size of data without considerations for quality and contexts). Second, this paper suggested that health organizations should strive to go beyond the current fad and seek to understand and coordinate efforts across the surrounding societal-, organizational-, individual-, and data-level contexts in a realistic manner to leverage big data to address health disparities.

وصف الملف: electronic resource

العلاقة: https://www.jmir.org/2020/1/e16377Test; https://doaj.org/toc/1438-8871Test

الوصول الحر: https://doaj.org/article/97e0da45a7c64a61a505b176e279aa86Test

المؤلفون: Shen, Chen, Wang, Man Ping, Chu, Joanna TW, Wan, Alice, Viswanath, Kasisomayajula, Chan, Sophia Siu Chee, Lam, Tai Hing

المصدر: JMIR mHealth and uHealth, Vol 5, Iss 6, p e77 (2017)

مصطلحات موضوعية: Information technology, T58.5-58.64, Public aspects of medicine, RA1-1270

الوصف: BackgroundHealth apps are increasingly used with important implications for health. Hong Kong is one of the most technologically advanced and connected cities—smartphone ownership and Internet access rates are among the highest in the world. ObjectiveWe investigated the prevalence of health app possession and related sociodemographic factors and health behaviors among smartphone or tablet owners in Hong Kong. MethodsA territory-wide population-based dual (landline and mobile) telephone survey was conducted in 2016. Respondents were asked whether they had health-related apps on their smartphones or tablets and what functions were available on the apps (eg, tracking physical activity and logging health records). Logistic regression was used to calculate the adjusted odds ratio (aOR) and 95% CI of health app possession for different demographic characteristics, socioeconomic position (education, employment, and income), health behaviors (smoking, alcohol, and physical activity) and health (body mass index and chronic diseases). ResultsOf the 4129 smartphone or tablet owners (81.28%, 4129/5080 respondents), 995 (24.10%) had a health app. Tracking physical activity (67.0% of 995) and logging health records (43.0% of 995) were the most common functions of the health apps. Overall, younger age, higher education, and household income were associated with having health apps (all P

وصف الملف: electronic resource

العلاقة: http://mhealth.jmir.org/2017/6/e77Test/; https://doaj.org/toc/2291-5222Test

الوصول الحر: https://doaj.org/article/c259f9d6075641518641532d758a5720Test

المؤلفون: Soong, Cissy SS, Wang, Man Ping, Mui, Moses, Viswanath, Kasisomayajula, Lam, Tai Hing, Chan, Sophia SC

المصدر: JMIR Research Protocols, Vol 4, Iss 4, p e126 (2015)

مصطلحات موضوعية: Medicine, Computer applications to medicine. Medical informatics, R858-859.7

الوصف: BackgroundA principal factor in maintaining positive family functioning and well-being, family communication time is decreasing in modern societies such as Hong Kong, where long working hours and indulgent use of information technology are typical. ObjectiveThe objective of this paper is to describe an innovative study protocol, “Happy Family Kitchen,” under the project, “FAMILY: A Jockey Club Initiative for a Harmonious Society,” aimed at improving family health, happiness, and harmony (3Hs) through enhancement of family communication. MethodsThis study employed the community-based participatory research (CBPR) approach, and adopted 5 principles of positive psychology and the traditional Chinese concepts of cooking and dining, as a means to connect family members to promote family health, happiness, and harmony (3Hs). ResultsIn-depth collaboration took place between an academic institution and a large nongovernmental community organization association (NGO association) with 400 social service agency members. Both groups were deeply involved in the project design, implementation, and evaluation of 23 community-based interventions. From 612 families with 1419 individuals’ findings, significant increases in mean communication time per week (from 153.44 to 170.31 minutes, P=.002) at 6 weeks after the intervention and mean communication scores (from 67.18 to 69.56 out of 100, P

وصف الملف: electronic resource

العلاقة: http://www.researchprotocols.org/2015/4/e126Test/; https://doaj.org/toc/1929-0748Test

الوصول الحر: https://doaj.org/article/dca528f9320b4ff485f3563229d9ef18Test

المؤلفون: Wang, Man Ping, Wang, Xin, Viswanath, Kasisomayajula, Wan, Alice, Lam, Tai Hing, Chan, Sophia S

المصدر: Journal of Medical Internet Research, Vol 16, Iss 10, p e227 (2014)

مصطلحات موضوعية: Computer applications to medicine. Medical informatics, R858-859.7, Public aspects of medicine, RA1-1270

الوصف: BackgroundInequalities in Internet use and health information seeking are well documented, but less is known about information for family life activities. ObjectiveWe investigated the social determinants of online family life information seeking behaviors and its associations with family well-being among Chinese adults in Hong Kong. MethodsA probability-based telephone survey was conducted in 2012 to record family life information seeking behaviors, including frequency of seeking and paying attention to family life information, levels of trust, and perceived usefulness of family life information. Family well-being was assessed using 3 single items on perceived family harmony, happiness, and health, with higher scores indicating greater well-being. Adjusted odds ratios for family life information seeking behaviors by socioeconomic characteristics and lifestyle behaviors, and adjusted beta coefficients for family well-being by family life information seeking behaviors were calculated. ResultsOf 1537 respondents, 57.57% (855/1537) had ever and 26.45% (407/1537) sought monthly family life information through the Internet. Lower educational attainment and household income, smoking, and physical inactivity were associated with less frequent seeking and paying attention (all P

وصف الملف: electronic resource

العلاقة: http://www.jmir.org/2014/10/e227Test/; https://doaj.org/toc/1438-8871Test

الوصول الحر: https://doaj.org/article/aed566cd09974e008e7c025be898b855Test

المؤلفون: Viswanath, Kasisomayajula, Lee, Edmund J, Dryer, Eliza

المساهمون: National Cancer Institute, Bill and Melinda Gates Foundation, Lee Kum Sheung Center for Health and Happiness, Harvard T.H. Chan School of Public Health

المصدر: BMJ ; page e076478 ; ISSN 1756-1833

الإتاحة: https://doi.org/10.1136/bmj-2023-076478Test

المؤلفون: Tan, Andy S.L., Chen, Jarvis T., Keen, Ryan, Scout, NFN, Gordon, Bob, Applegate, Julia, Machado, Ana, Hanby, Elaine, Liu, Sixiao, Zulkiewicz, Brittany, Ramanadhan, Shoba, Obedin-Maliver, Juno, Lunn, Mitchell R., Viswanath, Kasisomayajula, Potter, Jennifer

المساهمون: National Cancer Institute, National Institutes of Health

المصدر: American Journal of Preventive Medicine ; volume 66, issue 5, page 840-849 ; ISSN 0749-3797

مصطلحات موضوعية: Public Health, Environmental and Occupational Health, Epidemiology

الإتاحة: https://doi.org/10.1016/j.amepre.2023.12.001Test
https://api.elsevier.com/content/article/PII:S0749379723004853?httpAccept=text/xmlTest
https://api.elsevier.com/content/article/PII:S0749379723004853?httpAccept=text/plainTest

المؤلفون: von Elm, Erik, Viswanath, Kasisomayajula, Ackerson, Leland K.

المصدر: von Elm, Erik and Viswanath, Kasisomayajula and Ackerson, Leland K. (2011) Race, Ethnicity, Language, Social Class, and Health Communication Inequalities: A Nationally-Representative Cross-Sectional Study. PLoS ONE, 6 (1). e14550. ISSN 1932-6203

وصف الملف: application/pdf

العلاقة: http://health-equity.pitt.edu/2837Test/

المؤلفون: Ackerson, Leland K, Viswanath, Kasisomayajula

المصدر: Ackerson, Leland K and Viswanath, Kasisomayajula (2009) Communication inequalities, social determinants, and intermittent smoking in the 2003 Health Information National Trends Survey. Preventing chronic disease, 6 (2). A40. ISSN 1545-1151

العلاقة: http://www.cdc.gov/pcd/issues/2009/Apr/08_0076.htmTest; http://health-equity.pitt.edu/2838Test/