Bioprocess Analytical Technology Laboratory, Department of Biosciences and Bioengineering, Indian Institute of Technology Guwahati, Guwahati, Assam, 781039, India.
Bioprocess Analytical Technology Laboratory, Department of Biosciences and Bioengineering, Indian Institute of Technology Guwahati, Guwahati, Assam, 781039, India. senthilkumar@iitg.ac.in.
Bioprocess Analytical Technology Laboratory, Department of Biosciences and Bioengineering, Indian Institute of Technology Guwahati, Guwahati, Assam, 781039, India.
Centro de Investigación en Ciencia Aplicada y Tecnología Avanzada del IPN, Unidad Querétaro, Cerro Blanco 141, Col. Colinas del Cimatario, 76090, Santiago de Querétaro, Qro, México. nrojasa@ipn.mx.
Institute of Chemical and Engineering Sciences, Agency for Science, Technology and Research (A*STAR), Singapore, Republic of Singapore zhao5@illinois.edu yan.zhang@tju.edu.cn.
Department of Chemical and Biomolecular Engineering, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA.
Tianjin Key Laboratory for Modern Drug Delivery & High-Efficiency, Collaborative Innovation Center of Chemical Science and Engineering, School of Pharmaceutical Science and Technology, Tianjin University, Tianjin, China zhao5@illinois.edu yan.zhang@tju.edu.cn.
State Key Laboratory of Natural Medicines, China Pharmaceutical University, Nanjing 210009, PR China; Jiangsu Key Laboratory of TCM Evaluation and Translational Research, School of Traditional Chinese Pharmacy, China Pharmaceutical University, Nanjing 211198, PR China. Electronic address: wilsonzhang99@cpu.edu.cn.
Jiangsu Key Laboratory of TCM Evaluation and Translational Research, School of Traditional Chinese Pharmacy, China Pharmaceutical University, Nanjing 211198, PR China.
State Key Laboratory of Natural Medicines, China Pharmaceutical University, Nanjing 210009, PR China; Jiangsu Key Laboratory of TCM Evaluation and Translational Research, School of Traditional Chinese Pharmacy, China Pharmaceutical University, Nanjing 211198, PR China. Electronic address: weiweiwang@cpu.edu.cn.
Depression has become one of the most prevalent mental illnesses affecting the elderly in aging countries, i. e., in countries of the world whose population is slowly aging. It has become an important...
The data used in the present study were gathered from the China Health and Retirement Longitudinal Study that was conducted in 2018. The propensity score matching technique and the endogenous switch r...
The results of the present study show that the elderly who are relatively young, male, well educated, live in an urban area, or have a small family are more likely to use the internet. The elderly who...
The results of the present study highlight the significant welfare effects brought about by the development of internet infrastructure. To improve the mental health of the elderly, the government shou...
This study aims to investigate growing Internet use in relation to memory and cognition. Though literature reveals human capability to utilize the Internet as a transactive memory source, the formatio...
This study comprises two experimental memory task survey phases utilizing null hypothesis and standard error tests to assess significance of results....
When information is expected to be saved and accessible, recall rates are lower, regardless of explicit instructions to remember (Phase 1, N = 20). Phase 2 suggests the importance of order of attempte...
This study yields several theoretical advances in memory research. The notion of information being saved online and accessible in the future negatively affects semantic memory. Phase 2 reveals an adap...
To explore the relationship between internet use which includes time spent on the internet, internet skills, types of online activities, and depressive symptoms in older adults....
We used 2020 China Family Panel Studies (CFPS) data with 3,171 older adults aged 60 years. Depression symptoms were measured with the Center for Epidemiologic Studies Depression (CES-D), and internet ...
Longer time spent on the internet was associated with higher scores of depressive symptoms (β = 0.14). Higher internet skills were associated with lower scores of depressive symptoms (β = -0.42). Watc...
The effect of internet use on depressive symptoms in older adults is a double-edged sword. Controlling the time spent on the internet, improving internet skills, and guiding specific a type of online ...
The COVID-19 outbreak profoundly influenced human lives on different levels. This narrative review aims to present recent data relating to the COVID-19 pandemic and internet use and internet-based add...
During the COVID-19 pandemic, the prevalence of Internet use and Internet-based addictive behaviours increased in all age groups. The COVID-19 pandemic and related containment measures were been assoc...
Longitudinal researches focused on the negative impacts of Internet use in prolonged stress situations on mental health, vulnerable groups, and quality of life (QoL) are needed to help clinicians and ...
Problematic Internet Use (PIU) has become a worldwide problem in recent years. Among screening instruments for PIU, the Compulsive Internet Use Scale (CIUS) is perhaps the most widely used. Psychometr...
The sample consisted of 1790 participants, 816 male (45.6%), 961 female (53.7%), and 13 other (0.7%) . Mean age was 15.70 years (SD = 1.26)....
The five-items one-dimensional model displayed appropriate goodness-of-fit indices. Strong measurement invariance model across age and partial across gender was found. Furthermore, the CIUS-S was posi...
Overall, the CIUS-S scores appear reliable and valid in its Spanish version for adolescent populations, supporting its aim to detect and prevent a problem that has become a major worldwide issue in th...
WHAT IS KNOWN ON THE SUBJECT?: Problematic internet use (PIU) negatively affects adolescents' lives biopsychosocially. There is limited qualitative research examining the problem of PIU in adolescents...
INTRODUCTION: Studies on problematic internet use (PIU) are mostly on the non-clinical population. Understanding the experiences of adolescents with PIU is critical in shaping nursing interventions an...
A comprehensive description of the experiences of adolescents with PIU....
In the study, descriptive phenomenology design, one of the qualitative research methods, was used. Data were collected using a personal information form and a semi-structured interview form and analys...
As a result of the content analysis, five main themes were identified: reasons of PIU, internet-related perceptions, experiences in accessing the internet, experiences in not being able to access the ...
Different from previous studies, adolescents stated that they use the internet because of their lack of activity and their need to spend time with their friends. They stated that when they could not a...
Using data from the 2018 Chinese General Social Survey (CGSS), this study investigates the impact of internet use on residents' happiness. Empirical results show that internet use significantly enhanc...
Internet use (IU) commonly refers to sedentary lifestyle and may be addictive, especially among children. The aim of this study was to investigate the relationship between IU and some aspects of child...
We conducted a cross-sectional survey by using a screen-time based sedentary behavior questionnaire and Strengths and Difficulties Questionnaire (SDQ)-among 836 primary school children in the Braničev...
The average age of respondents was 13.4 (SD 1.2) years. The mean duration of daily Internet use and sedentary behavior was 236 (SD 156) and 422 (SD 184) minutes, respectively. There was no significant...
In our study, children's Internet use was associated with obesity, psychological disturbances and social maladjustment....
