Prevalence and Correlates of Exercise Addiction in the Presence vs. Absence of Indicated Eating Disorders

Are Sub-elite Athletes at Higher Risk of Eating Disorders, Exercise Addiction, Depression, and Low Energy Availability Compared With Elite Athletes?

OBJECTIVE

The main objective of this study was to investigate the risk of eating disorders, exercise addiction, depression, and low energy availability (LEA) in Danish female and male elite compared with sub-elite athletes.

DESIGN

A cross-sectional study.

SETTING

An online survey.

PARTICIPANTS

A total of 410 elite athletes (mean age 20.1 years, 51% females) and 206 sub-elite athletes (mean age 21.3 years, 52% females) from 15 different sports.Assessment of Risk Factors: Eating Disorders, exercise addiction, depression, and LEA.

MAIN OUTCOME MEASURES

The Sick Control, One Stone (6.5 kg), Fat, Food, the Eating Disorder Examination-Questionnaire, the Exercise Addiction Inventory, the Major Depression Inventory, and the Low Energy Availability in Females Questionnaire or the Low Energy Availability in Males Questionnaire.

RESULTS

We found that more female sub-elite athletes compared with elite athletes had risk of eating disorders (EDs) (37.4% vs 23.4%; P < 0.012) and the same was found for males (23.2% vs 10.4%; P = 0.005). More athletes with risk of EDs had risk of exercise addiction (12.8 vs 5.4%, P = 0.006), depression (27.3 vs 4.2%, P < 0.001), and LEA (females 55.1 vs 40.7%, P = 0.024, and males 29.4 vs 13.7%, P = 0.036, respectively) compared with athletes without risk of EDs.

CONCLUSIONS

Sub-elite athletes have a higher risk of eating disorders compared with elite athletes. Regular screening of ED symptoms and associated conditions in elite and especially sub-elite athletes may ensure early identification.

Recent insights in the correlation between social media use, personality traits and exercise addiction: a literature review

Introduction and aim

The excessive involvement in physical activity without stopping in between sessions despite injuries, the continuous thinking to exercise feeling insane thoughts and experiencing withdrawal symptoms are all characteristics of the Exercise Addiction (EA), an addictive behavior. While the primary exercise addiction is directly caused by compulsive exercise, many studies highlighted the relationship between Eating Disorders (ED) and EA, defining the secondary EA. The correlation between EA, social media use (SMU) and other individual traits remains a relatively underexplored domain. Therefore, this review aimed to examine the latest evidence on the relationship between EA, SMU, and some personality traits such as perfectionism and body image.

Methods

Electronic databases including PubMed, Medline, PsycARTICLES, Embase, Web of Science were searched from January 2019 to October 2023, following the PRISMA guidelines.

Results

A total of 15 articles were examined and consolidated in this review. EA was found to be related to different individual traits such perfectionism, body dissatisfaction, depression, obsessive-compulsive personality disorders. While controversial results were found regarding the relationship between EA and SMU.

Conclusion

The interaction between mental health, exercise addiction and social media use is complex. Excessive engagement in these latter may result in negative mental health consequences despite their potential benefits. Understanding individual differences and developing effective interventions is crucial to promoting healthy habits and mitigating the EA risks, ultimately enhancing mental well-being. Further research should focus on the identification of risks and protective factors with the eventual aim of developing and implementing effective prevention strategies.

Personality Traits Associated with the Risk of Exercise Dependence in Ultraendurance Athletes: A Cross-Sectional Study

Exercise dependence (ED) is common in endurance athletes and can lead to physical and psychological distress with various health effects. We designed a prospective cross-sectional study to investigate the personality traits associated with ED among ultraendurance athletes. A total of 507 participants (41.6 (9.8) years, men: 73.7%) completed (1) a screening questionnaire about sociodemographic data, sporting habits, and healthcare data, (2) the Exercise Dependence Scale-Revised (EDS-R, 21 items scored from 1 (never) to 6 (always), 7 subscales), (3) the Big Five Inventory (BFI), and (4) 2 items of the SCOFF (Sick-Control-One Stone-Fat-Food) questionnaire regarding possible eating disorders. Based on the EDS-R scores, 37 (7.3%) participants were at risk for ED (scores ≥ 5/6 on ≥3 subscales), 366 (72.2%) were nondependent but symptomatic (scores ≥ 3/6 on ≥3 subscales), and 104 (20.5%) were asymptomatic. Participants with ED had a greater training volume and a higher prevalence of possible eating disorders. A higher level of neuroticism was associated with increased EDS-R scores (r = 0.294; p < 0.001), with significantly higher scores in the ED group (F = 14.50, p < 0.001). The association between neuroticism and ED was not moderated by the presence of eating disorders. These findings will help to screen ultraendurance athletes at risk for ED and optimize their care.

The development and validation of the secondary exercise addiction scale

OBJECTIVES

Exercise addiction can be secondary to eating disorders, or a primary condition in the absence of another disorder. Currently, to determine secondary exercise addiction, two screening tools must be administered. The aim of this study was to validate a novel screening tool able to stratify between primary and secondary exercise addiction, called the secondary exercise addiction scale (SEAS).

METHODS

Phase 1 (n = 339) described the statistical reduction of an initial pool of scale items. Phase 2 (n = 382) used a confirmatory factor analysis (CFA) to examine the robustness of the latent structure. Phase 3 (n = 721) determined cut off scores for the eating disorder and exercise addiction sections of the SEAS and determine concurrent reliability with the exercise addiction inventory (EAI) and the SCOFF questionnaires. Phase 4 (n = 45) determined test-retest reliability.

RESULTS

Phase 1 extracted two components: exercise addiction and eating disorder symptomology, with 11 items retained. The CFA in Phase 2 showed an acceptable fit to the proposed model (comparative fit index = 0.93, Tucker Lewis Index = 0.91). Phase 3 determined cut off scores of  ≥ 28 (specificity = 91.97%), and  ≥ 20 (specificity = 96.27%) in the respective exercise addiction and eating disorders sections of the SEAS. The respective sections also correlated well with the EAI (r = 0.70, p =  < 0.001) and the SCOFF (r = 0.72, p =  < 0.001). Phase 4 showed excellent test-retest reliability (exercise addiction r = 0.95, p =  < 0.001, eating disorders r = 0.93, p =  < 0.001).

CONCLUSION

The SEAS appears to be a valid and reliable tool for measuring primary and secondary exercise addiction. Further studies are warranted to further validate this tool amongst clinical populations.

LEVEL OF EVIDENCE

Level III: evidence obtained from cohort or case-control analytic studies.

Examining the reliability of the scores of self-report instruments assessing problematic exercise: A systematic review and meta-analysis

Background and aims

Problematic exercise (PE) has mainly been assessed with self-report instruments. However, summarized evidence on the reliability of the scores derived from such instruments has yet to be provided. The present study reports a reliability generalization meta-analysis of six well-known self-report measures of PE (Commitment to Exercise Scale, Compulsive Exercise Test, Exercise Addiction Inventory, Exercise Dependence Questionnaire, Exercise Dependence Scale, and Obligatory Exercise Questionnaire).

Methods

Pooled effect sizes were computed using a random-effect model employing a restricted maximum likelihood estimation method. Univariable and multivariable meta-regressions analyses were employed for testing moderator variables.

Results

Data retrieved from 255 studies (741 independent samples, N = 254,174) identified three main groups of findings: (i) pooled alpha values that, ranging from 0.768 to 0.930 for global scores and from 0.615 to 0.907 for subscale scores, were found to be sensitive to sociodemographic and methodological characteristics; (ii) reliability induction rates of 47.58%; and (iii) the virtually non-existent testing of the assumptions required for the proper applicability of alpha. Data unavailability prevented the provision of summarized reliability estimates in terms of temporal stability.

Discussion

These findings highlight the need to improve reliability reporting of the scores of self-reported instruments of PE in primary studies. This implies providing both prior justification for the appropriateness of the index employed and reliability data for all the subpopulation of interest. The values presented could be used as a reference both for comparisons with those obtained in future primary studies and for correcting measurement-related artefacts in quantitative meta-analytic research concerning PE.

Exploring the Relationship Between Mental Well-Being, Exercise Routines, and the Intake of Image and Performance Enhancing Drugs During the Coronavirus Disease 2019 Pandemic: A Comparison Across Sport Disciplines

Introduction: Physical distancing under the coronavirus disease 2019 (COVID-19) pandemic had a significant impact on lifestyles, including exercise routines. In this study, we examined the relationship between mental health and addictive behaviors, such as excessive exercise and the use of image and performance enhancing drugs (IPEDs) across 12 sport disciplines. Materials and methods: A large cross-sectional sample of the adult population (N = 2,295) was surveyed. The mean age was 33.09 (SD = 11.40). The number of male participants was 668 (30.0%). The use of IPEDs was assessed in conjunction with psychometric measures such as the Exercise Addiction Inventory (EAI) and the Appearance Anxiety Inventory (AAI). The participants were grouped into activity group (AG) and non-activity group (NAG) according to the presence or absence of their exercise habits. The results were compared between these groups, as well as across sport disciplines, while taking into account the relationship between different psychological measures and IPEDs consumption. Results: The frequency of IPEDs use was higher among AG (34.6%) than NAG (14.6%), although AG participants reported less history of addictions (7.1%) than NAG (11.8%). The logistic regression analysis revealed that scores equal to or above cutoff points, in both the EAI and AAI, predicted the IPEDs use. Regarding the differences across the various sport disciplines, those who were involved in practicing Weight Lifting and Cross Fit were found to be more at risk of excessive exercising and more inclined to use a wide range of IPEDs. Conclusions: Although exercise could help to increase well-being and prevent addictions during the COVID-19 pandemic, our results show that those in the AG are particularly vulnerable to excessive IPEDs use. Sport disciplines associated with higher EAI and AAI scores have also shown a higher tendency to excessive IPEDs use. Furthermore, the factor of having above the cutoff scores in EAI or AAI in each sport could indicate larger IPEDs consumption regardless of the discipline. In light of the current findings, it is necessary to better define the "non-excessive" levels of exercise in various sport disciplines and an adequate intake of IPEDs to ensure the safety and well-being of people during a pandemic.

The Prevalence of Exercise Addiction Symptoms in a Sample of National Level Elite Athletes

Exaggerated exercise volumes, lack of control, withdrawal symptoms and conflicts with family and friends are core symptoms of exercise addiction. The condition can lead to health problems and social isolation because exercise is given the highest priority in any situation. The prevalence of the risk of exercise addiction has mostly been assessed in leisure time exercisers such as runners, fitness attendees and cyclists. The prevalence proportion ranges from 3 to 42% depending on the type of sport and the assessment tool. The proportion is greater among elite athletes, and increases with the level of competition. This study's primary aim was to assess the prevalence of exercise addiction among elite athletes competing at national level and its secondary aim was to evaluate the psychometric properties of the Exercise Addition Inventory (EAI) in elite sports. Participants (n = 417) from 15 sports disciplines and with 51% women completed an online survey. Results showed that 7.6% were at risk of exercise addiction. This group was younger, exhibited tendency to exercise despite pain and injury, felt guilty if not exercising enough, and reported substantial eating disorder symptoms. The reliability and validity of the EAI was good suggesting that the scale is appropriate for measuring the risk of exercise addiction in elite athletes.

Associations Between C-Reactive Protein Levels, Exercise Addiction, and Athlete Burnout in Endurance Athletes

Regular physical activity can support long-term health maintenance, e.g., by reducing inflammatory markers such as C-reactive protein (CRP) levels. However, excessive physical activity can promote the development of both mental and physical illness as well. From a psychological perspective, excessive exercise can lead to the development of exercise addiction (EA) and athlete burnout (AB). However, EA and AB have been rarely investigated so far and it is still unknown whether they are associated with risk factors for physical diseases such as increased CRP levels. In our study, we investigated whether EA and AB in endurance athletes are associated with CRP concentrations. Furthermore, sex differences and prevalence rates of EA were investigated. Ninety-five endurance athletes participated (54.7% female, mean age = 31.8 ± 15.02 years). CRP levels were assessed by means of Dried Blood Spots. For EA and AB assessment, the Exercise Addiction Inventory (EAI) and the Athlete Burnout Questionnaire (ABQ) were used. Exercise addiction was negatively associated with CRP in men. No associations were found for women. None of the ABQ subscales (physical and emotional exhaustion, devaluation of sports, and reduced sense of accomplishment) was associated with CRP levels or with EA. Prevalence of EA was 4.2%. More than 80% of the participants were at risk for EA development. Our results suggest that EA is not necessarily associated with a higher risk for physical diseases through inflammatory pathways. However, EA is a serious mental illness that is widespread in athletes, at least at a subclinical level.

Prevalence and correlates of body dysmorphic disorder in health club users in the presence vs absence of eating disorder symptomology

PURPOSE

Body dysmorphic disorder (BDD) has been consistently linked with eating disorders, however studies that stratify associations between BDD in subjects with and without eating disorder symptomology are sparse. It was, therefore, the aim of this study to assess correlates of BDD (including social media use, motivations for exercise, exercise addiction, and sexuality) stratified by eating disorder symptomology.

METHODS

Cross-sectional study of 1665 health club users recruited online completed a battery of surveys. BDD prevalence rates were calculated and logistic regression models were created in two sub-samples: indicated or no-indicated eating disorder symptomology.

RESULTS

The key findings showed the prevalence of BDD in participants with indicated-eating disorder symptomology was significantly higher than in participants without indicated-eating disorder symptomology, yielding an odds ratio of 12.23. Furthermore, several correlates were associated with BDD only participants with an absence of eating disorder symptomology (gender, BMI, exercise addiction, exercising for mood improvement, attractiveness and tone), with others being significantly associated with BDD in participants in the presence of indicated eating disorders symptomology (exercising for health and enjoyment, relationship status, and ethnicity).

CONCLUSIONS

This study provides more evidence of the complex relationship that exists between BDD and eating disorders. Furthermore, it is recommended that practitioners working with BDD subjects should screen for eating disorders due to the high morbidity associated with eating disorders.

LEVEL OF EVIDENCE

Level III: case-control analytic study.

Changes in body dysmorphic disorder, eating disorder, and exercise addiction symptomology during the COVID-19 pandemic: A longitudinal study of 319 health club users

The aim of this longitudinal study was to examine the effect of COVID-19 quarantines on morbid exercise, eating, and body image behaviours pre vs post COVID-19 lockdown. Participants (n=319; mean age 36.77 SD=11.75; 84% female) were recruited to complete a battery of questions with 14 month follow-up. Exercise addiction scores were significantly lower post-lockdown; eating disorder symptomology scores were significantly higher post-COVID-19 lockdown; and leisure-time exercise significantly increased post-COVID-19 lockdown. No differences in body dysmorphic disorder were found. If future lockdowns are enforced, practitioners working with people with suspected morbid eating habits should monitor this closely.

A Systematic Review and Meta-Analysis on the Relationship between Body Dissatisfaction and Morbid Exercise Behaviour

Background: The present study aimed to quantify the relationship between body dissatisfaction and morbid exercise behaviour (MEB). Methods: The electronic databases MEDLINE, PsycINFO, Web of Science, SciELO, and Dissertations & Theses Global were searched from inception to September 2020. Pooled effect sizes corrected for sampling errors (r⁺) were computed using a bare-bones meta-analysis. The robustness of the results was examined by influence analyses. The presence of moderators was examined by inspection of the variance in r⁺ attributable to sampling errors and 80% credibility intervals, followed by subgroup analysis and univariable/multivariable meta-regressions. Publication bias was examined by visual inspection of funnel plot symmetry, cumulative meta-analysis, and Egger’s test. Results: A total of 41 effect sizes from 33 studies (n = 8747) were retrieved. Results showed a significant and near to moderate effect size (r⁺ = 0.267, 95% CI = 0.226 to 0.307), and this did not differ by gender, BMI, age, percentage of Whites, study quality, or MEB measure. Conversely, effect sizes were found to be stronger in published and more recently conducted studies. Conclusion: The findings indicate that body dissatisfaction is one of the likely causes underlying MEB. This suggests the need for further longitudinal research aimed at confirming the potential causal nature of this relationship.