The Development and Validation of the Indian Family Violence and Control Scale

AbstractAlthough women are believed to be more forgiving than men, the results of many studies comparing women with men vary. Moreover, little is known about unique correlates or differential patterns of experiencing forgiveness by gender. In the present study, we compared men and women in terms of their level of dispositional forgiveness and its emotional correlates, namely positive and negative affect, anxiety, and emotional control. The sample consisted of 625 individuals aged 19–69, of whom 478 (76.5%) were women and 147 (23.5%) were men. Polish versions of the Heartland Forgiveness Scale (HFS), the Positive and Negative Affect Schedule (PANAS), the Courtauld Emotional Control Scale (CECS), and the State-Trait Anxiety Inventory (STAI) were used. Men showed a higher level of general forgiveness and greater willingness to overcome unforgiveness than women, but there was no significant difference in positive facets of the disposition to forgive. In both genders negative affect, anxiety, and control of anger and of depression were negatively related to dimensions of dispositional forgiveness, and positive affect was positively associated with forgiveness. In females control of anxiety was negatively and in males it was positively related to facets of forgiveness. Gender moderated a number of links between affective traits and forgiveness of self and of situations beyond control, but not forgiveness of others.

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The Development of the VP-SAFvR: An Actuarial Instrument for Police Triage of Australian Family Violence Reports

Criminal Justice and Behavior ◽

10.1177/0093854818806031 ◽

2018 ◽

Vol 46 (4) ◽

pp. 590-607 ◽

Cited By ~ 2

Author(s):

Troy E. McEwan ◽

Daniel E. Shea ◽

James R. P. Ogloff

Keyword(s):

Family Violence ◽

Family Relationships ◽

Binary Logistic Regression ◽

Violence Risk ◽

Demographic Groups ◽

Same Sex Couples ◽

Australian Family ◽

Criminal Histories ◽

Screening Assessment ◽

Development And Validation

This study describes the rationale, development, and validation of the Victoria Police Screening Assessment for Family Violence Risk (VP-SAFvR). The actuarial instrument was developed on a sample of 24,446 Australian police reports from 2013-2014. Information from each report and criminal histories of those involved were collected with 12-month follow-up, and binary logistic regression used to develop an improper predictive model. The selected VP-SAFvR cut-off score correctly identified almost three quarters of cases with further reports, while half of those without were accurately excluded. It was effective for frontline police triage decision-making, with few screened-out cases reporting further family violence, while those screened-in required additional risk assessment. Predictive validity was adequate and consistent across family relationships and demographic groups, although it was less effective in predicting future family violence reports involving same-sex couples or child perpetrators. Further evaluation in a field trial is necessary to determine the validity of the VP-SAFvR in practice.

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Development and Validation of a MicroRNA Panel to Differentiate Between Patients with Rheumatoid Arthritis or Systemic Lupus Erythematosus and Controls

The Journal of Rheumatology ◽

10.3899/jrheum.181029 ◽

2019 ◽

Vol 47 (2) ◽

pp. 188-196 ◽

Cited By ~ 6

Author(s):

Michelle J. Ormseth ◽

Joseph F. Solus ◽

Quanhu Sheng ◽

Fei Ye ◽

Qiong Wu ◽

...

Keyword(s):

Rheumatoid Arthritis ◽

Systemic Lupus Erythematosus ◽

Lupus Erythematosus ◽

Noncoding Rna ◽

Characteristic Curve ◽

Systemic Lupus ◽

Control Subjects ◽

Development And Validation ◽

And Control ◽

Bioinformatic Approach

Objective.MicroRNA (miRNA) are short noncoding RNA that regulate genes and are both biomarkers and mediators of disease. We used small RNA (sRNA) sequencing and machine learning methodology to develop an miRNA panel to reliably differentiate between rheumatoid arthritis (RA) or systemic lupus erythematosus (SLE) and control subjects.Methods.Plasma samples from 167 RA and 91 control subjects who frequency-matched for age, race, and sex were used for sRNA sequencing. TIGER was used to analyze miRNA. DESeq2 and random forest analyses were used to identify a prioritized list of miRNA differentially expressed in patients with RA. Prioritized miRNA were validated by quantitative PCR, and lasso and logistic regression were used to select the final panel of 6 miRNA that best differentiated RA from controls. The panel was validated in a separate cohort of 12 SLE, 32 RA, and 32 control subjects. Panel efficacy was assessed by area under the receiver operative characteristic curve (AUC) analyses.Results.The final panel included miR-22-3p, miR-24-3p, miR-96-5p, miR-134-5p, miR-140-3p, and miR-627-5p. The panel differentiated RA from control subjects in discovery (AUC = 0.81) and validation cohorts (AUC = 0.71), seronegative RA (AUC = 0.84), RA remission (AUC = 0.85), and patients with SLE (AUC = 0.80) versus controls. Pathway analysis showed upstream regulators and targets of panel miRNA are associated with pathways implicated in RA pathogenesis.Conclusion.An miRNA panel identified by a bioinformatic approach differentiated between RA or SLE patients and control subjects. The panel may represent an autoimmunity signature, perhaps related to inflammatory arthritis, which is not dependent on active disease or seropositivity.

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