Physical Activity, Sedentary Behavior, and Diet-Related eHealth and mHealth Research: Bibliometric Analysis

Background Electronic health (eHealth) and mobile health (mHealth) approaches to address low physical activity levels, sedentary behavior, and unhealthy diets have received significant research attention. However, attempts to systematically map the entirety of the research field are lacking. This gap can be filled with a bibliometric study, where publication-specific data such as citations, journals, authors, and keywords are used to provide a systematic overview of a specific field. Such analyses will help researchers better position their work. Objective The objective of this review was to use bibliometric data to provide an overview of the eHealth and mHealth research field related to physical activity, sedentary behavior, and diet. Methods The Web of Science (WoS) Core Collection was searched to retrieve all existing and highly cited (as defined by WoS) physical activity, sedentary behavior, and diet related eHealth and mHealth research papers published in English between January 1, 2000 and December 31, 2016. Retrieved titles were screened for eligibility, using the abstract and full-text where needed. We described publication trends over time, which included journals, authors, and countries of eligible papers, as well as their keywords and subject categories. Citations of eligible papers were compared with those expected based on published data. Additionally, we described highly-cited papers of the field (ie, top ranked 1%). Results The search identified 4805 hits, of which 1712 (including 42 highly-cited papers) were included in the analyses. Publication output increased on an average of 26% per year since 2000, with 49.00% (839/1712) of papers being published between 2014 and 2016. Overall and throughout the years, eHealth and mHealth papers related to physical activity, sedentary behavior, and diet received more citations than expected compared with papers in the same WoS subject categories. The Journal of Medical Internet Research published most papers in the field (9.58%, 164/1712). Most papers originated from high-income countries (96.90%, 1659/1717), in particular the United States (48.83%, 836/1712). Most papers were trials and studied physical activity. Beginning in 2013, research on Generation 2 technologies (eg, smartphones, wearables) sharply increased, while research on Generation 1 (eg, text messages) technologies increased at a reduced pace. Reviews accounted for 20 of the 42 highly-cited papers (n=19 systematic reviews). Social media, smartphone apps, and wearable activity trackers used to encourage physical activity, less sedentary behavior, and/or healthy eating were the focus of 14 highly-cited papers. Conclusions This study highlighted the rapid growth of the eHealth and mHealth physical activity, sedentary behavior, and diet research field, emphasized the sizeable contribution of research from high-income countries, and pointed to the increased research interest in Generation 2 technologies. It is expected that the field will grow and diversify further and that reviews and research on most recent technologies will continue to strongly impact the field.

[1]  Artur Direito,et al.  mHealth Technologies to Influence Physical Activity and Sedentary Behaviors: Behavior Change Techniques, Systematic Review and Meta-Analysis of Randomized Controlled Trials , 2017, Annals of behavioral medicine : a publication of the Society of Behavioral Medicine.

[2]  B. Popkin,et al.  Global nutrition dynamics: the world is shifting rapidly toward a diet linked with noncommunicable diseases. , 2006, The American journal of clinical nutrition.

[3]  F. Bull,et al.  Progress in physical activity over the Olympic quadrennium , 2016, The Lancet.

[4]  Brianna S Fjeldsoe,et al.  Preventive Health Behavior Change Text Message Interventions: A Meta-analysis. , 2017, American journal of preventive medicine.

[5]  Lutz Bornmann,et al.  OPEN PEN ACCESS CCESS , 2008 .

[6]  T. Chey,et al.  A systematic review and meta-analysis of interventions for weight management using text messaging. , 2015, Journal of human nutrition and dietetics : the official journal of the British Dietetic Association.

[7]  Heather A. Piwowar,et al.  Altmetrics: Value all research products , 2013, Nature.

[8]  Charles Oppenheim,et al.  The citation advantage of open-access articles , 2008, J. Assoc. Inf. Sci. Technol..

[9]  M. McCrory,et al.  Reduction of energy intake using just‐in‐time feedback from a wearable sensor system , 2017, Obesity.

[10]  J. Brug,et al.  Apps to promote physical activity among adults: a review and content analysis , 2014, International Journal of Behavioral Nutrition and Physical Activity.

[11]  Yuh-Shan Ho,et al.  High-impact papers presented in the subject category of water resources in the essential science indicators database of the institute for scientific information , 2011, Scientometrics.

[12]  C. Vandelanotte,et al.  Past, Present, and Future of eHealth and mHealth Research to Improve Physical Activity and Dietary Behaviors. , 2016, Journal of nutrition education and behavior.

[13]  Charles Abraham,et al.  Mobile Phone and Web 2.0 Technologies for Weight Management: A Systematic Scoping Review , 2015, Journal of medical Internet research.

[14]  Aileen Clarke,et al.  Citation Classics in Systematic Reviews and Meta-Analyses: Who Wrote the Top 100 Most Cited Articles? , 2013, PloS one.

[15]  C. Vandelanotte,et al.  Are Health Behavior Change Interventions That Use Online Social Networks Effective? A Systematic Review , 2014, Journal of medical Internet research.

[16]  M. Pavel,et al.  Advancing Models and Theories for Digital Behavior Change Interventions. , 2016, American journal of preventive medicine.

[17]  Nader Ale Ebrahim,et al.  Physical Activity and Aging Research: A Bibliometric Analysis. , 2016, Journal of aging and physical activity.

[18]  C. Abraham,et al.  Effective techniques in healthy eating and physical activity interventions: a meta-regression. , 2009, Health psychology : official journal of the Division of Health Psychology, American Psychological Association.

[19]  Ge Wang which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Fractal MapReduce decomposition of sequence alignment , 2005 .

[20]  J. E. Hirsch,et al.  An index to quantify an individual's scientific research output , 2005, Proc. Natl. Acad. Sci. USA.

[21]  P. Freedson,et al.  Amount of time spent in sedentary behaviors in the United States, 2003-2004. , 2008, American journal of epidemiology.

[22]  Nicholas D. Gilson,et al.  Measuring and Influencing Physical Activity with Smartphone Technology: A Systematic Review , 2014, Sports Medicine.

[23]  Corneel Vandelanotte,et al.  The effectiveness of e-& mHealth interventions to promote physical activity and healthy diets in developing countries: A systematic review , 2016, International Journal of Behavioral Nutrition and Physical Activity.

[24]  C. Vandelanotte,et al.  Efficacy of interventions that use apps to improve diet, physical activity and sedentary behaviour: a systematic review , 2016, International Journal of Behavioral Nutrition and Physical Activity.

[25]  S. Blair,et al.  Healthy hearts--and the universal benefits of being physically active: physical activity and health. , 2009, Annals of epidemiology.

[26]  Laura D. Ellingson,et al.  Sedentary Behavior Research Network (SBRN) – Terminology Consensus Project process and outcome , 2017, International Journal of Behavioral Nutrition and Physical Activity.

[27]  Yuh-Shan Ho,et al.  Classic articles on social work field in Social Science Citation Index: a bibliometric analysis , 2013, Scientometrics.

[28]  Marc Suhrcke,et al.  The impact of economic, political and social globalization on overweight and obesity in the 56 low and middle income countries , 2015, Social science & medicine.

[29]  L. Egghe,et al.  Theory and practise of the g-index , 2006, Scientometrics.

[30]  Lutz Bornmann,et al.  Do altmetrics point to the broader impact of research? An overview of benefits and disadvantages of altmetrics , 2014, J. Informetrics.

[31]  S. Edney,et al.  Does gamification increase engagement with online programs? A systematic review , 2017, PloS one.

[32]  C. Vandelanotte,et al.  Apps to improve diet, physical activity and sedentary behaviour in children and adolescents: a review of quality, features and behaviour change techniques , 2017, International Journal of Behavioral Nutrition and Physical Activity.

[33]  Hajar Sotudeh,et al.  The citation advantage of author-pays model: the case of Springer and Elsevier OA journals , 2015, Scientometrics.

[34]  A. Blandford,et al.  The conceptualization of a Just-In-Time Adaptive Intervention (JITAI) for the reduction of sedentary behavior in older adults. , 2017, mHealth.

[35]  S. Goenka,et al.  Scaling up physical activity interventions worldwide: stepping up to larger and smarter approaches to get people moving , 2016, The Lancet.

[36]  F. H. Dominski,et al.  Scientific production on indoor air quality of environments used for physical exercise and sports practice: Bibliometric analysis. , 2017, Journal of environmental management.

[37]  R Core Team,et al.  R: A language and environment for statistical computing. , 2014 .

[38]  W. Mechelen,et al.  The economic burden of physical inactivity: a global analysis of major non-communicable diseases , 2016, The Lancet.

[39]  Alan D. Lopez,et al.  A comparative risk assessment of burden of disease and injury attributable to 67 risk factors and risk factor clusters in 21 regions, 1990–2010: a systematic analysis for the Global Burden of Disease Study 2010 , 2012, The Lancet.

[40]  S. Michie,et al.  Using the Internet to Promote Health Behavior Change: A Systematic Review and Meta-analysis of the Impact of Theoretical Basis, Use of Behavior Change Techniques, and Mode of Delivery on Efficacy , 2010, Journal of medical Internet research.

[41]  M. Hingle,et al.  Lifestyle behavior interventions delivered using technology in childhood, adolescent, and young adult cancer survivors: A systematic review , 2017, Pediatric blood & cancer.

[42]  Jih-Hsuan Lin,et al.  Using Active Video Games for Physical Activity Promotion , 2013, Health education & behavior : the official publication of the Society for Public Health Education.

[43]  Mu Li,et al.  Can Mobile Phone Apps Influence People’s Health Behavior Change? An Evidence Review , 2016, Journal of medical Internet research.

[44]  Elizabeth J. Lyons,et al.  Using an electronic activity monitor system as an intervention modality: A systematic review , 2015, BMC Public Health.

[45]  A. Bauman,et al.  Too much sitting and all-cause mortality: is there a causal link? , 2016, BMC Public Health.

[46]  David M Williams,et al.  Future directions in physical activity intervention research: expanding our focus to sedentary behaviors, technology, and dissemination , 2017, Journal of Behavioral Medicine.

[47]  C. Vandelanotte,et al.  Website-delivered physical activity interventions a review of the literature. , 2007, American journal of preventive medicine.

[48]  Chris D. Nugent,et al.  Using computer, mobile and wearable technology enhanced interventions to reduce sedentary behaviour: a systematic review and meta-analysis , 2017, International Journal of Behavioral Nutrition and Physical Activity.

[49]  C. Vandelanotte,et al.  Meta-analysis of internet-delivered interventions to increase physical activity levels , 2012, International Journal of Behavioral Nutrition and Physical Activity.

[50]  K. Brad Wray,et al.  No new evidence for a citation benefit for Author-Pay Open Access Publications in the social sciences and humanities , 2016, Scientometrics.

[51]  Noel E O'Connor,et al.  Behavior Change Techniques in Physical Activity eHealth Interventions for People With Cardiovascular Disease: Systematic Review , 2017, Journal of medical Internet research.

[52]  M. Neve,et al.  Effectiveness of web‐based interventions in achieving weight loss and weight loss maintenance in overweight and obese adults: a systematic review with meta‐analysis , 2010, Obesity reviews : an official journal of the International Association for the Study of Obesity.

[53]  Deborah I Thompson,et al.  A meta-analysis of serious digital games for healthy lifestyle promotion. , 2014, Preventive medicine.

[54]  David Evans,et al.  Hierarchy of evidence: a framework for ranking evidence evaluating healthcare interventions. , 2003, Journal of clinical nursing.

[55]  C. K. F. Wen,et al.  Prevention and treatment of pediatric obesity using mobile and wireless technologies: a systematic review , 2015, Pediatric obesity.

[56]  A. Hyder,et al.  Noncommunicable Disease Risk Factors and Mobile Phones: A Proposed Research Agenda , 2017, Journal of medical Internet research.

[57]  G. Flores Mateo,et al.  Mobile Phone Apps to Promote Weight Loss and Increase Physical Activity: A Systematic Review and Meta-Analysis , 2015, Journal of medical Internet research.

[58]  B. Spring,et al.  Current Science on Consumer Use of Mobile Health for Cardiovascular Disease Prevention: A Scientific Statement From the American Heart Association. , 2015, Circulation.

[59]  Oyinlola Oyebode,et al.  Fruit and vegetable consumption and all-cause, cancer and CVD mortality: analysis of Health Survey for England data , 2014, BDJ.

[60]  R. Stott,et al.  The World Bank , 2008, Annals of tropical medicine and parasitology.

[61]  Jim Ottaviani The Post-Embargo Open Access Citation Advantage: It Exists (Probably), It’s Modest (Usually), and the Rich Get Richer (of Course) , 2016, PloS one.

[62]  Waleed M. Sweileh,et al.  Bibliometric analysis of worldwide scientific literature in mobile - health: 2006–2016 , 2017, BMC Medical Informatics and Decision Making.

[63]  Lucy Yardley,et al.  Developing and Evaluating Digital Interventions to Promote Behavior Change in Health and Health Care: Recommendations Resulting From an International Workshop , 2017, Journal of medical Internet research.

[64]  Brianna S Fjeldsoe,et al.  Systematic review of maintenance of behavior change following physical activity and dietary interventions. , 2011, Health psychology : official journal of the Division of Health Psychology, American Psychological Association.

[65]  Lutz Bornmann,et al.  Growth rates of modern science: A bibliometric analysis based on the number of publications and cited references , 2014, J. Assoc. Inf. Sci. Technol..

[66]  L. Ransdell,et al.  A Systematic Review of Information and Communication Technology–Based Interventions for Promoting Physical Activity Behavior Change in Children and Adolescents , 2011, Journal of medical Internet research.

[67]  Guy Shani,et al.  Leveraging metadata to recommend keywords for academic papers , 2016, J. Assoc. Inf. Sci. Technol..

[68]  Saleem Sayani,et al.  Using Mobile Health (mHealth) Technology in the Management of Diabetes Mellitus, Physical Inactivity, and Smoking , 2017, Current Atherosclerosis Reports.

[69]  Richard Van Noorden,et al.  The top 100 papers , 2014, Nature.

[70]  Andre Matthias Müller,et al.  Non-face-to-face physical activity interventions in older adults: a systematic review , 2014, International Journal of Behavioral Nutrition and Physical Activity.

[71]  R. Callister,et al.  eHealth interventions for the prevention and treatment of overweight and obesity in adults: a systematic review with meta‐analysis , 2015, Obesity reviews : an official journal of the International Association for the Study of Obesity.

[72]  JoEllen Wilbur,et al.  Physical activity text messaging interventions in adults: a systematic review. , 2013, Worldviews on evidence-based nursing.

[73]  E. Şenel,et al.  A global productivity and bibliometric analysis of telemedicine and teledermatology publication trends during 1980–2013 , 2015 .

[74]  Jerilyn K Allen,et al.  Mobile phone interventions to increase physical activity and reduce weight: a systematic review. , 2013, The Journal of cardiovascular nursing.

[75]  Lutz Bornmann,et al.  What is societal impact of research and how can it be assessed? a literature survey , 2013, J. Assoc. Inf. Sci. Technol..