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Gang Liu – ProQuest LLC, 2021
Digital phenotyping is defined as the "moment-by-moment quantification of the individual level human phenotype in situ using data from personal digital devices". The passive data collected by smartphone devices, including GPS, accelerometer and communication logs, can provide insights on users' behaviors that could be related to various…
Descriptors: Learning Processes, Health Behavior, Handheld Devices, Telecommunications
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Bryan, Leah N.; Smith-Grant, Jennifer; Brener, Nancy; Kilmer, Greta; Lo, Annie; Queen, Barbara; Underwood, J. Michael – Journal of School Health, 2022
Background: Since the inception of the Youth Risk Behavior Surveillance System in 1991, all surveys have been conducted in schools, using paper and pencil instruments (PAPI). For the 2019 YRBSS, sites were offered the opportunity to conduct their surveys using electronic data collection. This study aimed to determine whether differences in select…
Descriptors: Risk, Health Behavior, Incidence, Adolescents
Christine G. Casey, Editor – Centers for Disease Control and Prevention, 2024
The "Morbidity and Mortality Weekly Report" ("MMWR") series of publications is published by the Office of Science, Centers for Disease Control and Prevention (CDC), U.S. Department of Health and Human Services. Articles included in this supplement are: (1) Overview and Methods for the Youth Risk Behavior Surveillance System --…
Descriptors: High School Students, At Risk Students, Health Behavior, National Surveys
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Welch, Whitney A.; Groth, Caroline P.; Phillips, Siobhan M.; Spring, Bonnie; Siddique, Juned – Health Education & Behavior, 2021
Background and Aims: To estimate and compare the change in moderate-to-vigorous physical activity (MVPA) between an accelerometer and technology-supported physical activity (PA) log across a 3-week PA intervention. Method: Participants (N = 204, 77% female, age = 33 ± 11 years, body mass index = 28.2 ± 7.1 kg/m[superscript 2]) were randomized to…
Descriptors: Measurement Equipment, Measurement Techniques, Intervention, Outcomes of Treatment
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Kegler, Michelle C.; Raskind, Ilana G.; Comeau, Dawn L.; Griffith, Derek M.; Cooper, Hannah L. F.; Shelton, Rachel C. – Health Education & Behavior, 2019
Qualitative methods help us understand context, explore new phenomena, identify new research questions, and uncover new models of change. To better understand how researchers in health education and health behavior use qualitative methods, we reviewed qualitative articles published in "Health Education & Behavior" from 2000 to 2015.…
Descriptors: Periodicals, Qualitative Research, Research Design, Inquiry
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Taylor, Sarah; Owen, Michael – Health Education Journal, 2021
Background: Schools are ideal environments in which to conduct child and adolescent physical activity (PA) research. Despite this, PA-specific practical guidance for school-based research is lacking, which may present unique challenges to researchers. Based on reflections from our own experiences, this paper seeks to provide practical guidance on…
Descriptors: Physical Activity Level, Data Collection, Educational Research, Elementary Schools
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Egan, Cate A.; Merica, Christopher B.; Paul, David R.; Bond, Laura; Rose, Seth; Martin, Andrew; Vella, Chantal – Health Education Journal, 2023
Objectives: In the USA, 18% of school-aged young people are classified as obese, and rural populations appear to be particularly at risk. Achieving high levels of fitness reduces the risk of obesity and underlying health conditions. To better understand youth obesity trends and fitness levels, annual fitness testing ([FT], that is, surveillance)…
Descriptors: Physical Fitness, Health Behavior, Teacher Attitudes, Distance Education
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Cueva, Katie; Fenaughty, Andrea; Liendo, Jessica Aulasa; Hyde-Rolland, Samantha – American Journal of Evaluation, 2020
Chronic diseases with behavioral risk factors are now the leading causes of death in the United States. A national Behavioral Risk Factor Surveillance System (BRFSS) monitors those risk factors; however, there is a need for national and state evaluations of chronic disease surveillance systems. The Department of Health and Human Services/Centers…
Descriptors: Chronic Illness, At Risk Persons, Program Evaluation, Evaluation Methods
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Cimpian, Joseph R.; Timmer, Jennifer D. – AERA Open, 2019
Although numerous survey-based studies have found that students who identify as lesbian, gay, bisexual, or questioning (LGBQ) have elevated risk for many negative academic, disciplinary, psychological, and health outcomes, the validity of the types of data on which these results rest have come under increased scrutiny. Over the past several years,…
Descriptors: LGBTQ People, At Risk Students, Responses, High School Students
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Spruance, Lori Andersen; Atoloye, Abiodun; Douglass, Deirdre; Zimmerman, Thea Palmer; Guenther, Patricia M.; Franck, Karen; Henson, Teresa; Moore, Carla J.; Wood, Gina; Durward, Carrie M. – SAGE Open, 2019
The purpose of this study was to evaluate the acceptability and usability of an online training to prepare Expanded Food and Nutrition Education Program (EFNEP) educators to collect 24-hr dietary recalls using the Automated Self-Administered 24-Hour Dietary Assessment Tool (ASA24). Fifty-eight educators in 17 states were recruited to take the…
Descriptors: Nutrition Instruction, Foods Instruction, Usability, Dietetics
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Guest, Greg; Namey, Emily; Taylor, Jamilah; Eley, Natalie; McKenna, Kevin – International Journal of Social Research Methodology, 2017
Qualitative researchers often have to decide whether to collect data using focus groups or individual interviews. We systematically compare these two methods on their ability to generate two types of information: unique items in a brainstorming task and personally sensitive disclosures. Our study sample consisted of 350 African-American men living…
Descriptors: Focus Groups, Interviews, Randomized Controlled Trials, Qualitative Research
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Chang, LinChiat; Lin, Chung-Tung Jordan – Field Methods, 2015
To regulate health messages on food labels, the U.S. Food and Drug Administration (FDA) traditionally relied on mall intercepts to collect consumer data. In recent years, web surveys have presented a viable alternative for presenting visual stimuli with more control and efficiency in data collection. However, there is a paucity of empirical data…
Descriptors: Food, Comparative Analysis, Experiments, Online Surveys
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Mahfoud, Ziyad; Ghandour, Lilian; Ghandour, Blanche; Mokdad, Ali H.; Sibai, Abla M. – Field Methods, 2015
Findings on the reliability and cost-effectiveness of the use of cellular phones vis-à-vis face-to-face interviews in investigating health behaviors and conditions are presented for a national epidemiological sample from Lebanon. Using self-reported responses on identical questions, percentage agreement, ? statistics, and McNemar's test were used…
Descriptors: Telephone Surveys, Interviews, Surveys, Responses
Temkin, Deborah; Fulks, Emily – Child Trends, 2021
The COVID-19 pandemic has fundamentally changed the ways schools and other youth-serving agencies are operating. To prevent the continued spread of the virus, many schools and agencies have moved to virtual only or hybrid virtual/in-person activities. Along with adapting many other activities, schools and agencies' approaches to bullying…
Descriptors: Bullying, Prevention, Legislation, Board of Education Policy
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Ching, Cynthia Carter; Stewart, Mary K.; Hagood, Danielle E.; Rashedi, Roxanne Naseem – IEEE Transactions on Learning Technologies, 2016
Extant literature has largely not examined how users critically engage with their physical activity monitors, as objective data sense-making is often deemed superior to users' subjective realities. Our research, however, examines how middle-school youth encounter the representation of their data, as it is converted and actionable in an online…
Descriptors: Physical Activity Level, Measurement, Electronic Equipment, Ethnography
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