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Psychometric property and measurement invariance of internet addiction test: the effect of socio-demographic and internet use variables | BMC Public Health

According to the validation literature on items of Young’s Internet Addiction Test (IAT), this study rephrased disputable items to improve the psychometric properties of this Chinese version of IAT and identify the presence of differential item function (DIF) among demographic and Internet use factors; detect the effect of demographic and Internet use factors on IAT after adjusting for DIF. An online questionnaire was distributed to college students in Zhe Jiang province in two stage. The 1st phase study collected 384 valid responses to examine the quality of IAT items by using Rasch Model analysis and exploring factor analysis (EFA). The online questionnaire was modified according to the 1st phase study and distributed online for the 2nd phase study which collected a total of 1131 valid responses. The 2nd phase study applied confirmatory factor analysis (CFA) and a multiple indicator multiple causes (MIMIC) model to verify the construct of IAT, potential effect of covariates on ....

Wenzhou Vocational College Of Science Technology , Zhejiang Institute Of Mechanical Electrical Engineering , Zhejiang Yuying College Of Vocational , Hangzhou Vocational Technical College , Hangzhou Vocational , Technical College , Zhejiang Institute , Electrical Engineering , Wenzhou Vocational College , Zhejiang Yuying College , Internet Addiction Test , Nabuco De Abreu , Cronbach Alpha , Root Mean Square Error , Standardized Root Mean Square Residual , Comparative Fit Index , Tucker Lewis Index , Nonnormed Fit Index ,

Frontiers | What Factors Predict the Adoption of Type 2 Diabetes Patients to Wearable Activity Trackers—Application of Diffusion of Innovation Theory

Background: Globally, diabetes brought an enormous burden to public health resources and the situation of disease burden caused by diabetes in China is especially severe. China is currently facing the dual threat of aging and diabetes, and wearable activity trackers could promote elderly diabetic patients’ physical activity levels and help them to manage blood glucose control. Therefore, examining the influencing factors of elderly patients’ adoption intention is critical as wearing adoption determines actual wearing behaviors. Objective: This study aims to explore the predicting factors of Chinese elderly type 2 diabetic patients’ adoption intention to wearable activity trackers and their actual wearing behavior, using Diffusion of Innovation Theory as the theoretical framework. We hope to provide insights to future interventions using wearable activity trackers as tools to improve patients’ outcome. Methods: Wearable activity trackers were freely distributed to type 2 diabeti ....

Hong Kong , South Korea , Makovec Bren , Abu Dhabi , Takemoto El Al , Mhealth Uhealth , Acta Diabetol , International Diabetes Atlas , J Health Promot , National Natural Science Foundation Of China , Lifesense Co , World Health Organization , J Community Psychol , Phys Act Health , Public Health , First Step Program , Institutional Review Board Of Peking University , Stud Health Technol , International Diabetes Federation , Lifesense Application , National Natural Science Foundation , Institutional Review Board , Innovation Scale , Comparative Fit Index , Lewis Index , Standardized Root Mean Square Residual ,