scholarly journals Cyber Stalking, Cyber Harassment, and Adult Mental Health: A Systematic Review

Author(s):  
Francesca Stevens ◽  
Jason R.C. Nurse ◽  
Budi Arief
2016 ◽  
Vol 28 (4) ◽  
pp. 379-388 ◽  
Author(s):  
Gillian M. Mulvale ◽  
Tram D. Nguyen ◽  
Ashleigh M. Miatello ◽  
Mark G. Embrett ◽  
Patricia A. Wakefield ◽  
...  

2019 ◽  
Vol 21 (7) ◽  
pp. 493-512 ◽  
Author(s):  
Jani Nöthling ◽  
Stefanie Malan-Müller ◽  
Naeemah Abrahams ◽  
Sian Megan Joanna Hemmings ◽  
Soraya Seedat

2018 ◽  
Vol 35 (8) ◽  
pp. 700-716 ◽  
Author(s):  
Dylan Johnson ◽  
Gabrielle Dupuis ◽  
Justin Piche ◽  
Zahra Clayborne ◽  
Ian Colman

Author(s):  
Marc S. Tibber ◽  
Fahreen Walji ◽  
James B. Kirkbride ◽  
Vyv Huddy

Abstract Purpose A systematic review was undertaken to determine whether research supports: (i) an association between income inequality and adult mental health when measured at the subnational level, and if so, (ii) in a way that supports the Income Inequality Hypothesis (i.e. between higher inequality and poorer mental health) or the Mixed Neighbourhood Hypothesis (higher inequality and better mental health). Methods Systematic searches of PsycINFO, Medline and Web of Science databases were undertaken from database inception to September 2020. Included studies appeared in English-language, peer-reviewed journals and incorporated measure/s of objective income inequality and adult mental illness. Papers were excluded if they focused on highly specialised population samples. Study quality was assessed using a custom-developed tool and data synthesised using the vote-count method. Results Forty-two studies met criteria for inclusion representing nearly eight million participants and more than 110,000 geographical units. Of these, 54.76% supported the Income Inequality Hypothesis and 11.9% supported the Mixed Neighbourhood Hypothesis. This held for highest quality studies and after controlling for absolute deprivation. The results were consistent across mental health conditions, size of geographical units, and held for low/middle and high income countries. Conclusions A number of limitations in the literature were identified, including a lack of appropriate (multi-level) analyses and modelling of relevant confounders (deprivation) in many studies. Nonetheless, the findings suggest that area-level income inequality is associated with poorer mental health, and provides support for the introduction of social, economic and public health policies that ameliorate the deleterious effects of income inequality. Clinical registration number PROSPERO 2020 CRD42020181507.


2017 ◽  
Vol 53 (4) ◽  
pp. 375-382 ◽  
Author(s):  
Tram Nguyen ◽  
Mark G. Embrett ◽  
Neil G. Barr ◽  
Gillian M. Mulvale ◽  
Diana K. Vania ◽  
...  

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