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

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.

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Energy Storage Ceramics: A Bibliometric Review of Literature

Materials ◽

10.3390/ma14133605 ◽

2021 ◽

Vol 14 (13) ◽

pp. 3605

Author(s):

Haiyan Hu ◽

Aiping Liu ◽

Yuehua Wan ◽

Yuan Jing

Keyword(s):

Energy Storage ◽

Materials Science ◽

Research Field ◽

Highly Cited Papers ◽

Research Areas ◽

Productive Author ◽

The Usa ◽

Bibliometric Review ◽

Leading Position ◽

Highly Cited

Energy storage ceramics is among the most discussed topics in the field of energy research. A bibliometric analysis was carried out to evaluate energy storage ceramic publications between 2000 and 2020, based on the Web of Science (WOS) databases. This paper presents a detailed overview of energy storage ceramics research from aspects of document types, paper citations, h-indices, publish time, publications, institutions, countries/regions, research areas, highly cited papers, and keywords. A total of 3177 publications were identified after retrieval in WOS. The results show that China takes the leading position in this research field, followed by the USA and India. Xi An Jiao Tong Univ has the most publications, with the highest h-index. J.W. Zhai is the most productive author in energy storage ceramics research. Ceramics International, Journal of Materials Science-Materials in Electronics, and the Journal of Alloys and Compounds are the most productive journals in this field, and materials science—multidisciplinary is the most frequently used subject category. Keywords, highly cited papers, and the analysis of popular papers indicate that, in recent years, lead-free ceramics are prevalent, and researchers focus on fields such as the microstructure, thin films, and phase transition of ceramics.

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Factors Influencing Cities’ Publishing Efficiency

Journal of Data and Information Science ◽

10.2478/jdis-2018-0014 ◽

2018 ◽

Vol 3 (3) ◽

pp. 43-80 ◽

Cited By ~ 1

Author(s):

Csomós György

Keyword(s):

New York ◽

Web Of Science ◽

Publication Output ◽

The United States ◽

High Tech ◽

Highly Cited Papers ◽

Factors Influencing ◽

The Web ◽

Highly Cited Articles ◽

Highly Cited

Abstract Purpose Recently, a vast number of scientific publications have been produced in cities in emerging countries. It has long been observed that the publication output of Beijing has exceeded that of any other city in the world, including such leading centres of science as Boston, New York, London, Paris, and Tokyo. Researchers have suggested that, instead of focusing on cities’ total publication output, the quality of the output in terms of the number of highly cited papers should be examined. However, in the period from 2014 to 2016, Beijing produced as many highly cited papers as Boston, London, or New York. In this paper, another method is proposed to measure cities’ publishing performance by focusing on cities’ publishing efficiency (i.e., the ratio of highly cited articles to all articles produced in that city). Design/methodology/approach First, 554 cities are ranked based on their publishing efficiency, then some general factors influencing cities’ publishing efficiency are revealed. The general factors examined in this paper are as follows: the linguistic environment of cities, cities’ economic development level, the location of excellent organisations, cities’ international collaboration patterns, and their scientific field profile. Furthermore, the paper examines the fundamental differences between the general factors influencing the publishing efficiency of the top 100 most efficient cities and the bottom 100 least efficient cities. Findings Based on the research results, the conclusion can be drawn that a city’s publishing efficiency will be high if meets the following general conditions: it is in a country in the Anglosphere–Core; it is in a high-income country; it is home to top-ranked universities and/or world-renowned research institutions; researchers affiliated with that city most intensely collaborate with researchers affiliated with cities in the United States, Germany, England, France, Canada, Australia, and Italy; and the most productive scientific disciplines of highly cited articles are published in high-impact multidisciplinary journals, disciplines in health sciences (especially general internal medicine and oncology), and disciplines in natural sciences (especially physics, astronomy, and astrophysics). Research limitations It is always problematic to demarcate the boundaries of cities (e.g., New York City vs. Greater New York), and regarding this issue there is no consensus among researchers. The Web of Science presents the name of cities in the addresses reported by the authors of publications. In this paper cities correspond to the spatial units between the country/state level and the institution level as indicated in the Web of Science. Furthermore, it is necessary to highlight that the Web of Science is biased towards English-language journals and journals published in the field of biomedicine. These facts may influence the outcome of the research. Practical implications Publishing efficiency, as an indicator, shows how successful a city is at the production of science. Naturally, cities have limited opportunities to compete for components of the science establishment (e.g., universities, hospitals). However, cities can compete to attract innovation-oriented companies, high tech firms, and R&D facilities of multinational companies by for example establishing science parks. The positive effect of this process on the city’s performance in science can be observed in the example of Beijing, which publishing efficiency has been increased rapidly. Originality/value Previous scientometric studies have examined cities’ publication output in terms of the number of papers, or the number of highly cited papers, which are largely size dependent indicators; however this paper attempts to present a more quality-based approach.

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Income-based inequalities in self-reported moderate-to-vigorous physical activity among adolescents in England and the United States: a cross-sectional study

10.1101/2020.05.15.20102673 ◽

2020 ◽

Author(s):

Shaun Scholes ◽

Jennifer S Mindell

Keyword(s):

Physical Activity ◽

Low Income ◽

Vigorous Physical Activity ◽

The United States ◽

Cross Sectional Study ◽

High Income ◽

Sectional Study ◽

Cross Sectional ◽

The Us ◽

Low Income Households

Objective: Quantify inequalities in self-reported moderate-to-vigorous physical activity (MVPA) in England and the United States (US). Design: Population-based cross-sectional study. Participants: 4019 adolescents aged 11-15 years in England (Health Survey for England 2008, 2012, 2015) and 4312 aged 12-17 years in the US (National Health and Nutrition Examination Survey 2007-16). Main outcome measures: Three aspects of MVPA: (1) doing any, (2) average min/day (MVPA: including those who did none), and (3) average min/day conditional on participation (MVPA-active). Using hurdle models, we quantified inequalities (average marginal effects: AMEs) using the absolute difference in marginal means. Results: In England, adolescents in high-income households were more likely than those in low-income households to have done any formal sports/exercise in the last seven days (boys: 11%; 95% CI: 4% to 17%; girls: 13%; 95% CI: 6% to 20%); girls in high-income households did more than their low-income counterparts (MVPA: 6 min/day, 95% CI: 2 to 9). Girls in low-income households spent more time in informal activities than girls in high-income households (MVPA: 21 min/day; 95% CI: 10 to 33), whilst boys in low-income versus high-income households spent longer in active travel (MVPA: 21 min/week; 95% CI: 8 to 34). In the US, in a typical week, recreational activity was greater among high-income versus low-income households (boys: 15 min/day; 95% CI: 6 to 24 min/day; girls: 19 min/day; 95% CI: 12 to 27). In contrast, adolescents in low-income versus high-income households were more likely to travel actively (boys: 11%; 95% CI: 3% to 19%; girls: 10%; 95% CI: 3% to 17%) and do more. Conclusions: Policy actions and interventions are required to increase MVPA across all income groups in England and the US. Differences in formal sports/exercise (England) and recreational (US) activities suggest that additional efforts are required to reduce inequalities.

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Students’ Knowledge and Behaviors for Active Living: A Cross-Sectional Survey Study

Journal of Teaching in Physical Education ◽

10.1123/jtpe.2018-0352 ◽

2020 ◽

Vol 39 (2) ◽

pp. 206-215 ◽

Cited By ~ 1

Author(s):

Yang Liu ◽

Senlin Chen

Keyword(s):

Physical Activity ◽

High School ◽

Middle School ◽

Elementary School ◽

Sedentary Behavior ◽

The United States ◽

School Level ◽

Survey Study ◽

Active Living ◽

And Behaviors

Purpose: The purpose of this study is to capture students’ essential knowledge and behaviors concerning active living. Methods: Students (N = 1,079) from elementary, middle, and high schools in the United States reported their knowledge of physical activity and fitness (PAF knowledge), and physical activity and sedentary behavior using grade-specific PE Metrics tests and Youth Activity Profile, respectively. Descriptive and inferential statistical analyses were used to address the research purposes. Results: The total PAF knowledge scores and scores in subareas varied by gender and school level. A declining trend for physical activity and an increasing trend for sedentary behavior were observed. PAF knowledge positively predicted physical activity in elementary school boys and middle school girls and negatively predicted sedentary behavior in middle school students and high school boys. Certain PAF knowledge subareas (e.g., elementary school PD#3: knowledge about the characteristics of health-enhancing physical activity; middle school PD#1: knowledge of physical activity participation as part of a healthful lifestyle; high school PD#4: monitoring and adjusting physical activity to meet fitness needs) also significantly predicted behaviors. Conclusion: The findings may guide teachers’ curricular and instructional actions to enhance students’ PAF knowledge through physical education.

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Sedentary Work and Physiological Markers of Health

International Journal of Environmental Research and Public Health ◽

10.3390/ijerph18063230 ◽

2021 ◽

Vol 18 (6) ◽

pp. 3230

Author(s):

Brad Wipfli ◽

Sara Wild ◽

Courtney Donovan ◽

Ginger C. Hanson ◽

Saurabh S. Thosar

Keyword(s):

Physical Activity ◽

Blood Pressure ◽

Endothelial Function ◽

Sedentary Behavior ◽

Hemoglobin A1c ◽

The United States ◽

Ordinary Least Squares ◽

Standing Time ◽

Physiological Outcomes ◽

Physiological Markers

The purpose of this study is to examine associations between objectively measured workplace sedentary behavior and physiological markers of health. We hypothesize that increased sedentary time and more frequent bouts of uninterrupted sitting are associated with increased hemoglobin A1c, increased blood pressure, and impaired endothelial function. Call center employees (N = 241) were enrolled from four worksites in the United States. Participants completed a survey and a physical health assessment. Sedentary behavior and sitting/standing time at work were quantified using an accelerometer. Hemoglobin A1c was measured using a finger-prick and portable analyzer. Blood pressure was measured with an automated cuff, and vascular endothelial function was assessed in a subsample of participants (n = 56) using EndoPAT. We analyzed data with two series of ordinary least squares regressions, first to examine relationships between bouts of uninterrupted sitting and physiological outcomes, and second to examine relationships between physical activity and sitting/standing time at work and physiological outcomes. The sample was primarily female, and on average was obese, prehypertensive, and prediabetic. There were no significant relationships between bouts of uninterrupted sitting or physical activity/sitting/standing time at work and physiological outcomes. In a sample that is predominantly sedentary, at risk for cardiovascular disease, and prediabetic, there are no significant associations between workplace sedentary behavior and physiological markers. The lack of associations could be related to either physiological adaptations or ceiling effects in this sample.

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Surveillance of Physical Activity and Sedentary Behavior Among Youth and Adults in the United States: History and Opportunities

Journal of Physical Activity and Health ◽

10.1123/jpah.2021-0179 ◽

2021 ◽

Vol 18 (S1) ◽

pp. S6-S24 ◽

Cited By ~ 1

Author(s):

John D. Omura ◽

Geoffrey P. Whitfield ◽

Tiffany J. Chen ◽

Eric T. Hyde ◽

Emily N. Ussery ◽

...

Keyword(s):

Physical Activity ◽

United States ◽

Sedentary Behavior ◽

Local Level ◽

The United States ◽

Surveillance Systems ◽

National Surveillance ◽

The Past ◽

Activity Measures ◽

State And Local

Background: Surveillance is a core function of public health, and approaches to national surveillance of physical activity and sedentary behavior have evolved over the past 2 decades. The purpose of this paper is to provide an overview of surveillance of physical activity and sedentary behavior in the United States over the past 2 decades, along with related challenges and emerging opportunities. Methods: The authors reviewed key national surveillance systems for the assessment of physical activity and sedentary behavior among youth and adults in the United States between 2000 and 2019. Results: Over the past 20 years, 8 surveillance systems have assessed physical activity, and 5 of those have assessed sedentary behavior. Three of the 8 originated in nonpublic health agencies. Most systems have assessed physical activity and sedentary behavior via surveys. However, survey questions varied over time within and also across systems, resulting in a wide array of available data. Conclusion: The evolving nature of physical activity surveillance in the United States has resulted in both broad challenges (eg, balancing content with survey space; providing data at the national, state, and local level; adapting traditional physical activity measures and survey designs; and addressing variation across surveillance systems) and related opportunities.

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Income-based inequalities in self-reported moderate-to-vigorous physical activity among adolescents in England and the United States: comparisons from two cross-sectional surveys

10.21203/rs.3.rs-21237/v1 ◽

2020 ◽

Author(s):

Shaun Scholes ◽

Jennifer S Mindell

Keyword(s):

Physical Activity ◽

Low Income ◽

Vigorous Physical Activity ◽

The United States ◽

Active Travel ◽

High Income ◽

Absolute Difference ◽

Cross Sectional ◽

The Us ◽

Low Income Households

Abstract Background: Inequalities in moderate-to-vigorous intensity physical activity (MVPA) may reflect differences in the propensity to do any, the amount of time spent active, or both. Using self-reported data from 4019 adolescents aged 11-15 years in England (Health Survey for England 2008, 2012, 2015) and 4312 aged 12-17 years in the US (National Health and Nutrition Examination Survey 2007-16) we examined inequalities in MVPA.Methods: Hurdle models estimated inequalities by household income in three aspects: (1) doing any, (2) average minutes/day (MVPA: including those who did none), and (3) average minutes/day conditional on participation (MVPA-active). Inequalities after confounder adjustment (average marginal effects: AMEs) were quantified by computing the absolute difference in marginal means (low-income households as reference).Results: In England, adolescents in high-income households were more likely than those in low-income households to have done any formal sports/exercise in the last seven days (AMEs boys: 11%; 95% CI: 4, 17; girls: 13%; 6, 20); girls in high-income households spent more time being active than their low-income counterparts (AME formal MVPA: 6 minutes/day, 95% CI: 2, 9). Girls in low-income households spent more time in informal activities than girls in high-income households did (AME informal MVPA: 21 minutes/day; 95% CI: 10, 33), whilst boys in low-income versus high-income households spent longer in active travel (AME active travel MVPA: 21 minutes/week; 95% CI: 8, 34). In the US, in a typical week, recreational activity was greater among high-income versus low-income households (AMEs recreational boys: 15 minutes/day; 95% CI: 6, 24; girls: 19 minutes/day; 95% CI: 12, 27). In contrast, adolescents in low-income versus high-income households were more likely to travel actively (AMEs boys: 11%; 95% CI: 3, 19; girls: 10%; 95% CI: 3, 17) and spend more time engaged. Conclusions: Policy actions and interventions are required to increase levels of MVPA across all income groups in England and the US. Differences in formal sports/exercise (England) and recreational (US) activities suggest that additional efforts are required to move adolescents in low-income households from inactivity to activity, and to enable those already active to do more.

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Vigorously Cited: A Bibliometric Analysis of the 500 Most Cited Physical Activity Articles

Journal of Physical Activity and Health ◽

10.1123/jpah.2020-0744 ◽

2021 ◽

pp. 1-16

Author(s):

Aamir R. Memon ◽

Quyen G. To ◽

Corneel Vandelanotte

Keyword(s):

Physical Activity ◽

Citation Impact ◽

The United States ◽

Research Field ◽

Original Research ◽

Research Reporting ◽

Average Citation ◽

Relationship Of ◽

The Impact ◽

Journal Impact

Background: To date, no citation analysis has been conducted in the physical activity field, which can contribute to assess the impact of this research field and identify knowledge gaps. Therefore, this study aimed to identify the 500 most cited physical activity publications and report their bibliometric characteristics. Methods: The Web of Science database (all database indexes) was searched, and bibliometric characteristics were imported and calculated. Results: A total of 520 publications were ranked as the top 500. The sum of the citations was 326,258, and the average citation density was 41.0 (45.1) citations per year. Original research articles constituted the major portion of included publications (53.7%; 170,774 citations). Papers reporting relationship of physical activity with health were the most prevalent type of publication included (43.7%; 141,027 citations). Journal impact factor had a weak but significant positive correlation with citation density (r = .12; P = .006). The United States was ranked first in terms of the contributions from institutions and authors contributing to the most cited physical activity papers. Conclusions: Top physical activity publications are well cited compared with other health behavior fields. Original research reporting on the associations between physical activity and health has a higher citation impact compared with other types of original research within the physical activity field. The physical activity research field continues to expand rapidly as newer publications attract more citations in a shorter time span compared with older publications.

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Active Living Education: Leveling the Playing Field for Black or African American Students

Journal of Teaching in Physical Education ◽

10.1123/jtpe.2020-0314 ◽

2021 ◽

pp. 1-8

Author(s):

Stacy Imagbe ◽

Baofu Wang ◽

Yang Liu ◽

Jared Androzzi ◽

Xiangli Gu ◽

...

Keyword(s):

Physical Activity ◽

African American ◽

Black Students ◽

Racial Disparities ◽

Sedentary Behavior ◽

White Students ◽

The United States ◽

Active Living ◽

Playing Field ◽

And Behaviors

Purpose: The purpose of this study was to examine the potential racial disparities in education for active living (i.e., regular participation in moderate to vigorous physical activity with mitigated and interrupted levels of sedentary behavior) between Black/African American and White students. Methods: The study took place in one public middle school located in the Southeastern region of the United States. A total of 167 Black and 168 White students in sixth, seventh, and eighth grades completed a written test and a survey in physical education to assess active living knowledge and behaviors, respectively. Results: Multivariate analysis of covariance and tests of between-subjects effects showed significant race differences. Specifically, Black students scored significantly lower on the knowledge test and reported lower levels of physical activity out of school, and higher levels of sedentary behavior than White students, after controlling for grade and gender. Conclusion: The results identified racial disparities in knowledge and behaviors of active living. Tailored, culturally relevant active living education in and out of schools are needed to level the playing field for Black students.

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Abstract 254: Persistent SES Disparities in Cardiovascular Risk Factors and Health in the United States: MEPS 2002-2013

Circulation Cardiovascular Quality and Outcomes ◽

10.1161/circoutcomes.10.suppl_3.254 ◽

2017 ◽

Vol 10 (suppl_3) ◽

Author(s):

Javier Valero-Elizondo ◽

Erica S Spatz ◽

Joseph A Salami ◽

Chukwuemeka U Osondu ◽

Nihar R Desai ◽

...

Keyword(s):

Physical Activity ◽

Risk Factors ◽

Medical Expenditure Panel Survey ◽

The United States ◽

Pooled Analysis ◽

High Income ◽

Self Report ◽

Medical Expenditure ◽

Poverty Level ◽

Logistic Regression Models

Background: Given the health and cost burden of cardiovascular (CV) disease, we aimed to describe the trends in CV risk factors (CRF) in the US over the last twelve years, and quantify the disparities in healthcare by socioeconomic status (SES). Methods: The 2002-2013 Medical Expenditure Panel Survey (MEPS), a nationally representative sample was the basis for our study. CRFs (hypertension, diabetes mellitus, hypercholesterolemia, smoking, lack of physical activity and obesity) were identified by ICD9CM codes and/or self-report. Individuals were stratified by income level (per the federal poverty level), and proportions and logistic regression models were used to study trends and relationships for each CRF in two-year intervals. All analyses took into consideration the survey’s complex design. Inclusion criteria: age ≥ 18, BMI ≥ 18.5 and a positive sampling weight. Results: The study sample consisted of 250,371 MEPS participants (46 ± 14 years of age, 49% male), translating into 1.3 billion US adults. During the study period, the proportion of individuals with obesity increased overall, though moreso among people of low SES (Table). Trends in diabetes prevalence increased (from 9.6% to 12.8% in “Poor/Near Poor” and 5.6% to 8.3% in “High Income”, both p trend < 0.001) and hypertension (from 28.5% to 36.3% in “Poor/Near Poor” and 24.2% to 33.4% in “High Income”, both p trend < 0.001), though the greatest relative change was observed among the Middle/High Income SES group. Prevalence of inadequate physical activity increased in all SES categories, with the “Poor/Near Poor” group having the most drastic change (32.4% vs. 55.4%, p trend < 0.001), and a relative percent change of 71.1% increase in this category. Smoking declined across time in all SES categories, and hypercholesterolemia showed no significant changes. In pooled analysis, the odds of having a “Poor CRF Profile” (≥ 4 CRFs) for “Poor/Near Poor” SES were 36% higher when compared to “High Income” SES (OR 1.36, 95% CI [1.30, 1.44]) (Table). Conclusion: Disparities in the prevalence of CRFs have increased over the past 12 years, and have worsened for some conditions, including obesity, diabetes, hypertension and physical inactivity. There is a need for healthcare initiatives and policies to target the groups most in need.

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