Information spread behavior of clubhouse: A value-attitude-behavior model perspective by Yu-Feng Wu, Yu-Tai Wu, Jian-Hong Ye, Jhen-Ni Ye

“…The collected data were assessed for reliability and validity before being analyzed using structural equation modeling for confirmatory factor analysis and model verification. …”
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Using the socioecological model to explore factors associated with obesity among reproductive age women by Amanda Gilbert, Alicia Persaud, Sarah Farabi, Sarah Farabi, Cindy Schwarz, Debra Haire-Joshu, Rachel G. Tabak

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Development of oculomotor digital biomarkers using clinical examinations as “Ground Truth” by Brittany Trotter, Melissa Hunfalvay, Melissa Hunfalvay, Nicholas P. Murray, Greg C. Mathews, Frederick Robert Carrick, Frederick Robert Carrick, Frederick Robert Carrick, Frederick Robert Carrick

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Socioeconomic Disparities in the Usage of Urban Opportunities in South Korea During the COVID-19 Pandemic: Using Land Use/Land Cover and Mobile Phone Data by Kangjae Lee, Yoo Min Park, Yoohyung Joo, Minsoo Joo, Joon Heo

“…Thus, this study utilized mobile phone data and land use/land cover (LULC) data to investigate COVID-19-induced changes in the hot spots of the daytime and nighttime populations of two districts in Seoul, South Korea: Gangnam (a high-income community) and Gangbuk (a low-income community). …”
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Using Social Cognitive Theory to Determine Factors Predicting Nutritional Behaviors in Pregnant Women Visiting Health Centers in Tabriz, Iran by Motahhareh Jalily, Majid Barati, Saeed Bashirian*

“…Materials and Methods: This analytic study applied multistage random sampling to select 380 pregnant women who visited health centers in Tabriz during 2014. Data were collected using the Nutritional Behavior Questionnaire and a researcher-made questionnaire on the constructs of the SCT (knowledge, outcome expectations, outcome expectancies, self-efficacy, social support, and self-regulation). …”
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Geo-Insurance: Improving Big Data Challenges in the Context of Insurance Services Using a Geographical Information System (GIS) by Nana Yaw Asabere, Isaac Ofori Asare, Gare Lawson, Fatoumata Balde, Nana Yaw Duodu, Gifty Tsoekeku, Priscilla Owusu Afriyie, Abdul Razak Abdul Ganiu

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Machine learning-based prediction of anxiety disorders using blood metabolite and social trait data from the UK Biobank by Annabel Smith, Jack J. Miller, Daniel C. Anthony, Daniel E. Radford-Smith

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Exploring the Use of Activity Trackers to Support Physical Activity and Reduce Sedentary Behavior in Adults Diagnosed With Type 2 Diabetes: Qualitative Interview Study Using the RE... by William Hodgson, Alison Kirk, Marilyn Lennon, Xanne Janssen

“…Users of the My Diabetes My Way website can upload their Fitbit (Google Inc) activity data into the system but this is not presently being analyzed and used routinely within clinical care. …”
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Factors associated with male recruitment in a multi-site randomized behavioral clinical trial targeting the metabolic syndrome: analysis of screening and recruitment data from the... by Chen Yeh, Melissa M. Crane, Bryce Daniels, Barbara Lohse, Kelly Karavolos, Tami Olinger, Jacinda Nicklas, Lynda H. Powell, Sumihiro Suzuki

“…Similar analyses were performed for female participation to investigate the uniqueness or consistency with the findings for males. Methods Data collected at various stages of recruitment in an ongoing multi-site behavioral clinical trial were used. …”
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Prevalence and Perceived Contributing Factors of Physical Fighting, Cigarette Smoking, and Alcohol Use among Adolescents in Erbil City by Attallah Omar Qasem, Kamaran Ameen Nasir, Namir G. Al-Tawil

“…A self-administered questionnaire was used to collect the data from the adolescents’ preparatory schools. 1000 students were chosen randomly out of 36777 students in high schools. …”
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A Data-Driven Approach to Analyzing Fuel-Switching Behavior and Predictive Modeling of Liquefied Natural Gas and Low Sulfur Fuel Oil Consumption in Dual-Fuel Vessels by Hyunju Kim, Sangbong Lee, Jihwan Lee, Donghyun Kim

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Prevalence of non-alcoholic fatty liver disease among the working-age population: associations with socio-demographic indicators and behavioral risk factors (ESSE RF-2 data) by S. E. Evstifeeva, S. A. Shalnova, V. A. Kutsenko, E. V. Yarovaya, Yu. A. Balanova, A. E. Imaeva, A. V. Kapustina, G. A. Muromtseva, S. A. Maksimov, N. S. Karamnova, A. G. Soplenkova, E. M. Filichkina, I. A. Viktorova, N. N. Prishchepa, A. N. Redko, S. S. Yakushin, O. M Drapkina

“…To assess the prevalence of non-alcoholic fatty liver disease (NAFLD) using the liver obesity index — FLI (Fatty Liver Index), and to study its associations with socio-demographic indicators and behavioral risk factors for NAFLD.Material and methods. …”
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Assessing physical activity/behavior of adolescents living in the Pacific with accelerometer data: 231 GENEActiv records in New CaledoniaZenodoZenodoZenodoZenodoZenodoZenodoZenodo by Guillaume Wattelez, Stéphane Frayon, Olivier Galy

“…Moreover, since raw data with high granularity and continuous information is provided, studies interested in data processing and testing new methods on time series analyses can use the dataset.…”
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Help-seeking behaviors among survivors of intimate partner violence during pregnancy in 54 low- and middle-income countries: evidence from Demographic and Health Survey data by Mariella Stiller, Michael Lowery Wilson, Till Bärnighausen, Adebola Adedimeji, Erin Lewis, Anne Abio

“…Methods This study made use of population-based data from the Demographic and Health Surveys (DHS) Program from 54 LMICs, collected between 2005 and 2020 (N = 359,027). …”
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Exploring the association between mild behavioral impairment and plasma p‐tau217: Implications for early detection of Alzheimer's disease by Maryam Ghahremani, Rebeca Leon, Eric E. Smith, Zahinoor Ismail

“…METHODS MBI was defined using the Neuropsychiatric Inventory (NPI) data. …”
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Peer effects of health behaviors and the moderating role of Internet use among middle-aged and older adults: a nationally representative cross-sectional survey in China by Yanyin Cui, Hongrui Bao, Fang Xia, Liya Zhang, Jie Ren

“…ObjectiveThis study investigates peer effects on the health behaviors of middle-aged and older adult people in China and examines the moderating role of Internet use.MethodsA total of 16,188 respondents were selected from the China Health and Retirement Longitudinal Study (CHARLS) 2020 data set. …”
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A study on the impacts of safety and security on consumer’s intention to use electronic wallets in Hanoi by Mi Vu Ha Cong, Cuong Hung Nguyen, Lien Thuy Nhu, The Tuan Tran

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Longitudinal Digital Phenotyping of Multiple Sclerosis Severity Using Passively Sensed Behaviors and Ecological Momentary Assessments: Real-World Evaluation by Zongqi Xia, Prerna Chikersal, Shruthi Venkatesh, Elizabeth Walker, Anind K Dey, Mayank Goel

“…MethodsWe conducted a 12- to 24-week longitudinal study involving 104 people with MS, collecting passive sensor and behavioral health data. Smartphone sensors recorded call activity, location, and screen use, while fitness trackers captured heart rate, sleep patterns, and step count. …”
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Uncovering Deterministic Behavior of Black Hole IGR J17091–3624: A Twin of GRS 1915+105 by Anindya Guria, Banibrata Mukhopadhyay

“…Particular emphasis is given to the fact that data are often noise contaminated and finite. We examine the dual nature of the black hole X-ray binary IGR J17091–3624, whose behavior has been closely studied in parallel to GRS 1915+105. …”
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Ratcheting behavior of pressurized 316L austenitic stainless steel pipe tee under cyclic bending using DIC method by Ali Shahrjerdi, Faezeh Nazari

“…In this study, the ratcheting behavior of a 316 L Austenitic Stainless Steel pipe tee under cyclic bending and constant internal pressure was investigated experimentally and numerically using the digital image correlation (DIC) method. …”
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