Grace  Wang

Grace Wang


Research Focus & Metrics

Academic Career Length

18Years (2009-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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8 January 2018 in Journal of Technology in Behavioral Science
Verified
Journal Article
Open access
PDF file
DKDaria Kuss
Daria Kuss
EKEiman Kanjo
Eiman Kanjo
MCMark Crook-Rumsey
Mark Crook-Rumsey
FKFraenze Kibowski
Fraenze Kibowski
GWGrace Wang
Grace Wang
ASAlex Sumich
Alex Sumich
Contemporary technological advances have led to a significant increase in using mobile technologies. Recent research has pointed to potential problems as a consequence of mobile overuse, including addiction, financial problems, dangerous use (i.e. whilst driving) and prohibited use (i.e. use in forbidden areas). The aim of this study is to extend previous findings regarding the predictive power of psychopathological symptoms (depression, anxiety and stress), mobile phone use (i.e. calls, SMS, time spent on the phone, as well as the engagement in specific smartphone activities) across Generations X and Y on problematic mobile phone use in a sample of 273 adults. Findings revealed prohibited use and dependence were predicted by calls/day, time on the phone and using social media. Only for dependent mobile phone use (rather than prohibited), stress appeared as significant. Using social media and anxiety significantly predicted belonging to Generation Y, with calls per day predicted belonging to Generation X. This finding suggests Generation Y are more likely to use asynchronous social media-based communication, whereas Generation X engage more in synchronous communication. The findings have implications for prevention and awareness-raising efforts of possibly problematic mobile phone use for educators, parents and individuals, particularly including dependence and prohibited use.

1 June 2016 in Neural Networks
Verified
Journal Article
Closed access
Nikola Kirilov KasabovNikola Kirilov Kasabov
Nikola Kirilov Kasabov
NSNathan Matthew Scott
Nathan Matthew Scott
ETEnmei Tu
Enmei Tu
SMStefan Marks
Stefan Marks
NSNeelava Sengupta
Neelava Sengupta
JYJie Yang
Jie Yang

1 January 2022 in Neuroscience & Biobehavioral Reviews
Verified
Journal Article
Closed access
BKBrent A. Kelsen
Brent A. Kelsen
ASAlexander Sumich
Alexander Sumich
Nikola Kirilov KasabovNikola Kirilov Kasabov
Nikola Kirilov Kasabov
SLSophie Hsin-Yi Liang
Sophie Hsin-Yi Liang
GWGrace Wang
Grace Wang

1 January 2019 in Drug and Alcohol Dependence
Verified
Journal Article
Closed access
SSSabrini Sabrini
Sabrini Sabrini
GWGrace Wang
Grace Wang
JLJoanne C. Lin
Joanne C. Lin
IKIan James Kirk
Ian James Kirk
LCLouise E. Curley
Louise E. Curley

1 August 2020 in Addictive Behaviors
Verified
Journal Article
Closed access
TBTyrone L Burleigh
Tyrone L Burleigh
MGMark D. Griffiths
Mark D. Griffiths
ASAlex Sumich
Alex Sumich
GWGrace Wang
Grace Wang
DKDaria Kuss
Daria Kuss

7 April 2019 in Psychopharmacology
Verified
Journal Article
Open access
PDF file
NHN. Heym
N. Heym
BHB. C. Heasman
B. C. Heasman
KHK. Hunter
K. Hunter
SBS. R. Blanco
S. R. Blanco
GWGrace Wang
Grace Wang
ASA. L. Sumich
A. L. Sumich
Rationale The gut-brain axis includes bidirectional communication between intestinal microbiota and the central nervous system. Bifidobacterium and Lactobacillus spp. have been implicated in psychological health, such as depression, through various pathways (e.g. inflammation). Research needs a better understanding of direct and indirect effects through examination of psychological factors that make people susceptible to, or offer protection against, depression. Objective This study investigated the relationships between gut microbiota, inflammation and psychological risk and resilience factors for depression. Methods Forty participants (13 m/27 f) recruited from the general population completed self-report questionnaires for depression, self-judgement, over-identification and affective and cognitive empathy. Faecal and blood samples were taken to assay microbiota (Bifidobacterium; Lactobacillus spp.) and pro-inflammatory molecules (C-reactive protein, CRP and interleukin-6, IL-6), respectively. Results Hierarchical regression analyses (controlling for sex, age and the shared variance of risk and resilience factors) showed that (i) cognitive depression was significantly predicted by negative self-judgement and reduced cognitive empathy; (ii) abundance of Lactobacillus spp. was directly related to positive self-judgement but only indirectly to cognitive depression and lower affective empathy (both through self-judgement); and (iii) CRP was the strongest predictor of reduced cognitive empathy, with suppression effects seen for age (negative) and IL-6 (positive) after controlling for CRP. Conclusions Findings suggest that lactobacilli and inflammation may be differentially associated with mood disorder via brain mechanisms underpinning self-judgement and cognitive empathy, respectively. Further trials investigating interventions to increase Lactobacillus spp. in depression would benefit from direct measures of self-judgement and affective empathic distress, whilst those that aim to reduce inflammation should investigate cognitive empathy.