Background and aimsThe aim of this study was to investigate the relationship between exercise addiction, abnormal eating attitudes, anxiety, and depression among competitive and amateur athletes.MethodsParticipants were 100 athletes of mean age 28.3 years (18–62), of which there were 67 males and 35 females. The sample consisted of competitive and amateur athletes who participated in individual and group sports. They filled in the Exercise Addiction Inventory, Body Shape Questionnaire, a questionnaire assessing Eating Attitudes Test, Spielberger State-Trait Anxiety Inventory, and Beck Depression Inventory (BDI).ResultsRatings of exercise addiction were positively correlated with BDI scores across the study sample. Exercise addiction ratings were associated with abnormal eating attitudes, but not with trait or state anxiety. Athletes engaging in individual sports scored marginally higher on depression scores than group athletes but there was no difference in depression scores between competitive and amateur athletes. Multiple regression analysis revealed that abnormal eating attitudes contributed significantly to ratings of exercise addiction and explained 7.7% of the variance. According to the Sobel test, the difference in the association between exercise addiction and eating disorder was significant. Therefore, body shape was a mediating factor between eating disorder and exercise addiction.Discussion and conclusionsThis study extends our preliminary findings of an association between exercise addiction and depression. Second, abnormal eating attitudes may explain most of the variance of exercise addiction. This is a further support for previous evidence of comorbidity between exercise addiction and eating disorders.

Background and aims Compulsive sexual behavior is characterized by extensive sexual behavior and unsuccessful efforts to control excessive sexual behavior. The aim of the studies was to investigate compulsivity, anxiety and depression and impulsivity and problematic online sexual activities among adult males and females who use the Internet for finding sexual partners and using online pornography. Methods Study 1- 177 participants including 143 women M = 32.79 years (SD = 9.52), and 32 men M = 30.18 years (SD = 10.79). The Sexual Addiction Screening Test (SAST), the Yale-Brown Obsessive-Compulsive Scale (Y-BOCS), Spielberger Trait-State Anxiety Inventory (STAI-T STAI-S) and Beck Depression Inventory (BDI). Study 2- 139 participants including 98 women M = 24 years (SD = 5) and 41 men M = 25 years (SD = 4). The impulsivity questionnaire (BIS/BAS), Problematic online sexual activities (s-IAT-sex) and Sexual Addiction Screening Test (SAST). Results Study 1- Multiple regression analysis has indicated that a model which included BDI, Y-BOCS, and STAI scores contributed to the variance of sexual addiction rates, and explained 33.3% of the variance. Study 2- Multiple regression analysis indicated that BIS/BAS and s-IAT scores contributed to the variance of sexual addiction rates, and explained 33% of the variance. Discussion and conclusions Obsessive-compulsive symptoms contributed to sexual addiction among individuals who use the Internet for finding sexual partners. Impulsivity and problematic online sexual activity contributed to ratings of sex addiction. These studies support the argument that sex addiction lies on the impulsive-compulsive scale and could be classified as a behavioral addiction.

Objective  Bright IDEAS (BI) is a problem-solving skills training (PSST) program that has been demonstrated in earlier randomized controlled trials (RCTs) to be an effective and specific intervention for improving problem-solving skills and reducing negative affect in caregivers of children with cancer. The objectives of this study were to (a) offer an approach to defining meaningful treatment response and to determine the rates of responsivity to PSST; and (b) identify characteristics of PSST responders and nonresponders. Methods  Data from 154 mothers receiving the BI intervention were analyzed. Drawing on the literature on minimal clinically important differences, two criteria for determining responsivity were calculated for the primary outcome of problem-solving skills: (a) The reliable change index (RCI) based on group data, and; (b) The effect size (ES) of each participant’s pre/postintervention change score as a function of the group’s baseline SD. Results  Thirty-three percent of the sample met both responsivity criteria immediately posttreatment (39% at follow-up) and 38% (39% at follow-up) met neither. An additional 29% demonstrated a small or greater ES (≥ 0.2) but did not meet the RCI criteria, suggesting possible benefit. The single consistent predictor of responsivity was participants’ pretreatment problem-solving skills, with lower skills at baseline predicting greater improvement (p < .001). Conclusions  These findings highlight the need to go beyond group data in interpreting RCTs and to incorporate measures of meaningful treatment response. Our ability to predict and screen for meaningful treatment response is critical to more precise targeting, enhanced outcomes, and better resource allocation.

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