Self Reports of Violence. Ex-Mental Patients, Ex-Offenders, and the General Population

Criminology ◽  
1984 ◽  
Vol 22 (3) ◽  
pp. 321-342 ◽  
Author(s):  
HENRY J. STEADMAN ◽  
RICHARD B. FELSON
2021 ◽  
Vol 11 (2) ◽  
pp. 93
Author(s):  
Jihye Ryu ◽  
Tami Bar-Shalita ◽  
Yelena Granovsky ◽  
Irit Weissman-Fogel ◽  
Elizabeth B. Torres

The study of pain requires a balance between subjective methods that rely on self-reports and complementary objective biometrics that ascertain physical signals associated with subjective accounts. There are at present no objective scales that enable the personalized assessment of pain, as most work involving electrophysiology rely on summary statistics from a priori theoretical population assumptions. Along these lines, recent work has provided evidence of differences in pain sensations between participants with Sensory Over Responsivity (SOR) and controls. While these analyses are useful to understand pain across groups, there remains a need to quantify individual differences more precisely in a personalized manner. Here we offer new methods to characterize pain using the moment-by-moment standardized fluctuations in EEG brain activity centrally reflecting the person’s experiencing temperature-based stimulation at the periphery. This type of gross data is often disregarded as noise, yet here we show its utility to characterize the lingering sensation of discomfort raising to the level of pain, individually, for each participant. We show fundamental differences between the SOR group in relation to controls and provide an objective account of pain congruent with the subjective self-reported data. This offers the potential to build a standardized scale useful to profile pain levels in a personalized manner across the general population.


2018 ◽  
Vol 36 (1) ◽  
pp. 55-68 ◽  
Author(s):  
Daisy E. Collins ◽  
Sarah J. Ellis ◽  
Madeleine M. Janin ◽  
Claire E. Wakefield ◽  
Kay Bussey ◽  
...  

Background: One in four school-aged children is bullied. However, the risk may be greater for childhood cancer patients/survivors (diagnosed <18 years), because of symptoms of the disease and treatment that may prejudice peers. While the serious consequences of bullying are well documented in the general population, bullying may have even greater impact in children with cancer due to the myriad of challenges associated with treatment and prolonged school absence. Objective: To summarize the state of evidence on bullying in childhood cancer patients/survivors; specifically, the rate and types of bullying experienced and the associated factors. Method: We searched five electronic databases from inception to February 2018 for original research articles reporting on bullying in childhood cancer patients/survivors. Results: We identified 29 eligible articles, representing 1,078 patients/survivors ( M = 14.35 years). Self-reports from patients/survivors revealed a considerably higher rate of bullying (32.2%) compared with the general population (25%). Our review identified little information on the factors associated with bullying in patients/survivors. However, the bullying described tended to be verbal and was often related to the physical side effects of treatment, indicating that differences in appearance may prejudice peers. It was further suggested that educating the child’s classmates about cancer may prevent bullying. Conclusions: Our findings confirm that bullying is a significant challenge for many childhood cancer patients/survivors. Additional studies are needed to identify factors that may influence the risk of bullying, which will inform the development of evidence-based interventions and guidelines to prevent bullying in childhood cancer patients/survivors.


2014 ◽  
Vol 50 (4) ◽  
pp. 603-612 ◽  
Author(s):  
Willemien Langeland ◽  
Jan H. Smit ◽  
Harald Merckelbach ◽  
Gerard de Vries ◽  
Adriaan W. Hoogendoorn ◽  
...  

2020 ◽  
Vol 11 (1) ◽  
Author(s):  
Denis Pierron ◽  
Veronica Pereda-Loth ◽  
Marylou Mantel ◽  
Maëlle Moranges ◽  
Emmanuelle Bignon ◽  
...  

Abstract In response to the COVID-19 pandemic, many governments have taken drastic measures to avoid an overflow of intensive care units. Accurate metrics of disease spread are critical for the reopening strategies. Here, we show that self-reports of smell/taste changes are more closely associated with hospital overload and are earlier markers of the spread of infection of SARS-CoV-2 than current governmental indicators. We also report a decrease in self-reports of new onset smell/taste changes as early as 5 days after lockdown enforcement. Cross-country comparisons demonstrate that countries that adopted the most stringent lockdown measures had faster declines in new reports of smell/taste changes following lockdown than a country that adopted less stringent lockdown measures. We propose that an increase in the incidence of sudden smell and taste change in the general population may be used as an indicator of COVID-19 spread in the population.


Author(s):  
Rejani Thudalikunnil Gopalan

The focus of this chapter is to examine how the conceptual differences influence the definition and prevalence of sexual abuse among children, adolescence and adults. Attempting to understand measures, sources of data and special groups influences on prevalence rates is a challenge. It was observed that the prevalence of sexual abuse varies according to the type of concept and definitions, legal criteria, method of data collection, like interview methods, questionnaires, or self reports, and the source of data such as general population or specific groups such as prisoners, and individuals with disabilities are used for the study. In some studies, the rates are exaggerated because of the definitions. The chapter concludes that is important to evaluate prevalence studies of sexual abuse on different dimensions and criteria to make final conclusions.


Author(s):  
Jihye Ryu ◽  
Tami Bar-Shalita ◽  
Yelena Granovsky ◽  
Irit Weissman-Fogel ◽  
Elizabeth B. Torres

The study of pain requires a balance between subjective methods that rely on self-reports and complementary objective biometrics that ascertain physical signals associated with subjective accounts. There are at present no objective scales that enable the personalized assessment of pain, as most work involving electrophysiology rely on summary statistics from a priori theoretical population assumptions. Along these lines, recent work has provided evidence of differences in pain sensations between participants with Sensory Over Responsivity (SOR) and controls. While these analyses are useful to understand pain across groups, there remains a need to quantify individual differences more precisely in a personalized manner. Here we offer new methods to characterize pain using the moment-by-moment standardized fluctuations in EEG brain activity centrally reflecting the person&rsquo;s experiencing temperature-based stimulation at the periphery. This type of gross data is often disregarded as noise, yet here we show its utility to characterize the lingering sensation of discomfort raising to the level of pain, individually, for each participant. We show fundamental differences between the SOR group in relation to controls and provide an objective account of pain congruent with the subjective self-reported data. This offers the potential to build a standardized scale useful to profile pain levels in a personalized manner across the general population.


2011 ◽  
Vol 45 (8) ◽  
pp. 14
Author(s):  
SUSAN LONDON
Keyword(s):  

2006 ◽  
Vol 37 (3) ◽  
pp. 131-139 ◽  
Author(s):  
Juliane Degner ◽  
Dirk Wentura ◽  
Klaus Rothermund

Abstract: We review research on response-latency based (“implicit”) measures of attitudes by examining what hopes and intentions researchers have associated with their usage. We identified the hopes of (1) gaining better measures of interindividual differences in attitudes as compared to self-report measures (quality hope); (2) better predicting behavior, or predicting other behaviors, as compared to self-reports (incremental validity hope); (3) linking social-cognitive theories more adequately to empirical research (theory-link hope). We argue that the third hope should be the starting point for using these measures. Any attempt to improve these measures should include the search for a small-scale theory that adequately explains the basic effects found with such a measure. To date, small-scale theories for different measures are not equally well developed.


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