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Article

The Impact of Delivering School-Based Wellness Programs for Emerging Adult Facilitators—A Quasi-Controlled Clinical Trial

1
Department of Nutritional Sciences, Tel-Hai College, Upper Galilee 1220800, Israel
2
Shahaf, Community Based Facility for Body Image and Eating, Ganey Hadar 7683000, Israel
*
Author to whom correspondence should be addressed.
Int. J. Environ. Res. Public Health 2022, 19(7), 4278; https://doi.org/10.3390/ijerph19074278
Submission received: 28 February 2022 / Revised: 29 March 2022 / Accepted: 30 March 2022 / Published: 2 April 2022

Abstract

:
A quasi-controlled clinical trial included a university-based supervision course for facilitators of an interactive wellness school-based program. The study aimed to investigate how students that facilitate prevention programs are personally affected by delivering content related to self-esteem, body-image, and media literacy. In total, 66 university students who were either facilitators of preventive programs (intervention group) or non-facilitators (comparison group) completed questionnaires before, after, and three months following the program’s termination. All methods were performed following the Declaration of Helsinki regulations and Consort 2010 guidelines. Participants in the facilitator group demonstrated statistically significant superiority, with large effect size, regarding improvement in identifying advertisement strategies. Weight-related body-esteem, and the reduced impact of media messages’ pressure also had statistically significant superiority, with small effect size. The number of participants with pathological EAT-26 scores (>20) decreased from 5 to 2 in the facilitator group compared to an increase from 5 to 6 (no statistical significance) in the comparison group. Both groups demonstrated statistically significant decreases in eating disorder perceptions and behaviors from baseline to 3-month follow-up. Delivering a prevention program proved beneficial to facilitators, in addition to the target school pupils, and thus may be considered as part of the prevention programs’ effectiveness assessment.

1. Introduction

Emerging adulthood is a distinct period in which students rely more on themselves and challenge independent life while developing qualities for becoming self-sufficient. They engage in mature coping styles and relationships and assume adult responsibilities [1,2]. Social pressure, novelty-seeking, and high-intensity emotions may challenge students and frequently they are tempted to impaired self-care, disordered eating [3], substance abuse [4], and other unfavorable behaviors [5,6]. It is, therefore, interesting to investigate how students that facilitate prevention programs, are personally affected by delivering content related to self-esteem, body image, and media literacy. Although there is extensive literature regarding the impact of prevention programs on target populations [7,8,9,10], there are only a few publications discussing how facilitating a preventive program influence facilitators’ personal attribute.
Benefits of community engagement, such as peer-teaching, peer-support leaders, clinical internship, mentoring, and professional supervision, are well documented [11]. Service participation of social work undergraduate students, compared to nonparticipation, was associated with an increase in social self-confidence and leadership ability, understanding community problems and gaining interpersonal skills, conflict resolution skills, and ability to think critically [12]. In medical studies, similar benefits were reported by peer-teachers. Subject competency, pedagogical content knowledge, and deep self-observation skills were shown to impact both audience and facilitator [13]. Crenshaw [14], an undergraduate student peer facilitator in the “Team Up for Healthy Living”—a school-based obesity prevention project—reported that delivering the program resulted in changes in her diet and physical activity behaviors and improvements in academic/professional skills [14]. Jennings et al. [15] compared facilitators of a school-based prevention program focused on preventing unplanned pregnancies and sexually transmitted diseases with non-facilitators. Results showed facilitators reporting more personal opportunities to practice skills related to reducing the risk of contracting sexually transmitted diseases, more opportunities to talk to friends, parents, and sexual partners, more knowledge about sexual health problems, and being more able to refuse sexually significant actions. However, whether these facilitators applied their new knowledge and skills to real-life situations was not assessed [16]. Gilmartin et al. [17] reported in a systematic literature review on brief mindfulness practices for healthcare providers that none of the 14 studies reviewed found an effect on provider behaviors.
The reported studies have several limitations. Some lacked control groups [18,19], while others did not analyze the change in the personal application of knowledge or modeling [15], or its long-term impact [19,20]. Moreover, most information was qualitatively assessed [21]. Researchers have recommended further evaluation of personal changes that facilitators experience as they take on these leadership roles [17,22,23].
The current study evaluates how students that facilitate “Favoring Myself”, a school-based prevention program, are personally affected by delivering content related to self-esteem, body image, and media literacy. “Young Favoring Myself” is a manualized universal, interactive intervention with ten weekly, 90 min sessions [10]; topics are detailed in Table 1. The program includes a kit with detailed background material and a detailed guide for facilitators with structured session plans, including interactive activities to engage young adolescents (5th graders) verbally and non-verbally. To trigger situational interest, hands-on activities, novelty, surprise, and group work, were used.
The research hypothesis was that facilitator’s self-esteem, self-care, media literacy, and body esteem will be improved following facilitating these topics in a school-based prevention program with a more prominent effect size than that observed during the same period among participants in the comparison group who did not facilitate this program. Both research arms’ participants were third-year college students in their emerging adulthood, facing challenging behavioral and health choices that directly impact their sense of well-being. To the best of our knowledge, no studies have reported the impact of preventive wellness programs on program facilitators’ wellness components—a gap that this paper addresses.
The program’s topics target protecting factors (knowledge and understanding of self-care in various situations, self-esteem, positive body esteem, media literacy, positive defense mechanisms). The study hypothesis relied on Deci and Ryan’s self-determination theory [24], which assumes that when students achieve a sense of autonomy, relatedness, and competence through the support system provided while facilitating prevention programs and through the emphasis on certain topics and assignments, they are highly motivated and personally impacted.

2. Materials and Methods

2.1. Design and Sample Recruitment

A controlled trial was designed to evaluate the impact of facilitating a school-based wellness program for facilitating students’ self-esteem, body-esteem, media literacy, and eating attitudes—topics that are the focus of the delivered prevention program. The change in these variables over the same period was compared in students that did not deliver this program. The research was performed within the real-world university setting and as such, randomization could not be performed.
The facilitator group consisted of third-year college students, all of whom delivered the “Favoring Myself” program during 2019–2021. Applicants from the nutrition and education departments were interviewed by a group-dynamic expert who assessed their co-facilitation abilities, group leadership experience, and feedback mindset to be included in the facilitator group, subsequently paired to form co-facilitating pairs.
The comparison group was recruited through the institute’s internal advertisement system. A public call was published in the internal college advertisement system calling for third-year students to fill out psychological tests that took approximately 20–30 min each. This was done three times during the course of six months and students were compensated with the Israeli shekel equivalent of USD 35. The eligibility criteria for the comparison group were similar for major studies, age, gender, and ethnicity. Inclusion criteria included having participated in a previous academic course, and exposing participants to all the topics presented in the intervention group’s program (Table 1), plus they had to have at least six months experience of group session or training delivery in any field. However, they never participated in delivering “Favoring Myself”, nor did they participate in the supervision group. By these inclusion criteria, we attempted to differentiate the intervention and comparison group by the ‘topics’ facilitation’ and by ‘belonging to the facilitators’ supervision group’.

2.2. Sample Size

The sample size was calculated using the EpiTools epidemiological calculation (Ausvet, Bruce, Australia), based on data from previous studies. The SDs of the Body-Esteem Scale total scores were 0.8 and 0.9. A significant difference was indicated by a change of 0.6 points in the average score, with a power of 80%, and α = 0.05. The calculation yielded a sample size of 27 pairs. Assuming a 10% expected dropout rate, the calculated sample size was 29 participants in each study arm.

2.3. Ethical Procedures

The study was approved by Tel-Hai College Institutional Review Board (No. 12/2018 and No. 8/2019). The pre-registered universal trial number is NCT03882242 (18/3/2019). All procedures and methods were performed following the Declaration of Helsinki regulations and Consort 2010 guidelines. Written informed consent was obtained from all participants.

2.4. Intervention

“Young Favoring Myself” is an interactive program comprised of ten weekly, 90 min sessions on self-care behaviors, media literacy, self-esteem, and positive body image, topics which were mentioned as protective factors against risk behaviors [6,7,9]. It is an evidence-based intervention that was empirically supported and substantiated with research findings that demonstrate beneficial and predictable outcomes [10]. The program topics are described in Table 1. Facilitators used hands-on activities, novelty, surprise, and group work, incorporating age-tailored games into the sessions. The program is semi-structured, with flexibility that enabled facilitators to be creative while addressing their groups’ specific needs.

2.5. Study Population

A total of 66 third-year college students (mean age 26.3) participated in the study. In total, 24 students (36%) were Education majors, and 42 students (64%) were Nutritional Sciences majors, with 33 participants in each study group (Figure 1). All eligible participants completed all assessments’ questionnaires. A total of 99% of the facilitators were women. The study population’s personal and sociodemographic characteristics are displayed in Table 2. No differences in age, gender, parental status, or socioeconomic status were found between the facilitator and the comparison groups.

2.6. Facilitator Training

Program facilitators participated in 4 h workshops given on a weekly basis for 13 weeks (an entire college semester). The first author, who developed the “Young Favoring Myself” program curriculum, conducted the didactic supervision for the first two hours. In this platform, each pair of co-facilitators delivered to didactic supervision group one session simulation, as if it would be performed in the school classroom. The peer facilitators’ group served as the participating class, which required them to demonstrate self-observation and self-disclosure regarding their attitudes toward self-esteem, body-esteem, eating attitudes, and media literacy. The supervising professor ensured that session objectives were adequately addressed with age-appropriate pedagogic strategies. The peer facilitators and the professor provided feedback on the demonstration. A written reflection on the co-facilitator’s demonstration focused on strengths and scope for improvement. In the following 2 h, a social worker facilitated a group-dynamic activity to train the group on becoming successful prevention program facilitators. Each week, the session started with the previous week’s facilitation debriefing, discussing challenges and unique experiences.

2.7. Data Collection Procedure

A computerized self-administered questionnaire in Qualtrics XM software was completed by participants before and after program delivery, as well as three months following program termination.

2.8. Outcome Measures and Variables

Standardized instruments were used to measure the program’s effect on facilitators. All scales included in the study questionnaire which are validated Hebrew-translated versions. The study questionnaire included the following measures.

2.9. Personal and Demographic Information

Information regarding age, gender, parental and marital status, prior instruction/facilitation experience, and socioeconomic status was obtained.

2.10. Media Literacy and Pressures by Media

Media literacy was assessed using the Advertising Scale [23]. The scale contains one item that tests the identification of strategies used by advertisers and is reflected as a protective factor. It includes eight different strategies which participants choose from, while a higher number of strategies identified indicates higher media literacy. The strategies included: exaggeration, illusions, convincing using logic, convincing using emotions, romanization, idealization, realism, and intimidation. The “Pressures by Media” subscale of the Sociocultural Attitudes Toward Appearance Questionnaire-4 (SATAQ-4) was used to examine the internalization of media effects. This 4-item scale is rated on a 5-point scale. A higher average score indicates higher media pressure to change one’s appearance [25]. The Hebrew translation has been previously used in research [26]. In the current study, the subscales had high internal consistency, indicated by a mean Cronbach’s alpha value of 0.95.

2.11. Self-Esteem, Body-Esteem Scale, and Behaviors and Perceptions Associated with Eating Disorders

The 10-item Rosenberg Self Esteem Scale (RSE) [27] is ascendingly scored on a 4-point Likert scale. Higher scores suggest high self-esteem. The Hebrew version of the RSE has been previously validated in Israel [28]. In the current study, the subscales had high internal consistency, indicated by a mean Cronbach’s alpha value of 0.89. The Body Esteem Scale (BES) was used to assess body perceptions. The 23-item scale is divided into three subscales: Appearance, Weight, and Attribution. The mean total and subscale scores are rated on a 5-point Likert scale. Higher scores represent higher body esteem [29]. The Hebrew version of the BES has been used in previous research [10,30]. In the current study, the subscales had high internal consistency, indicated by a mean Cronbach’s alpha value of 0.96. The Eating Attitudes Test (Eat-26) was used to assess behaviors and attitudes associated with eating disorders. This scale is widely used as a screening tool for eating disorders. This 26-item scale is rated on a 6-point Likert scale. Instructions are to score the 6 response choices as 3, 2, 1, 0, 0, 0. The Hebrew translation of the EAT-26 [30,31] has been used widely in Israel for research and clinical purposes. The subscales had high internal consistency in the current study, indicated by a mean Cronbach’s alpha value of 0.83. All scales included in the study questionnaire were previously validated, Hebrew-translated versions.

2.12. Satisfaction Assessment

The post-intervention questionnaire consisted of a satisfaction assessment.

2.13. Statistical Analysis

SPSS (version 23, IBM Corp., Armonk, NY, USA) was used to perform formal statistical analyses, with significance considered at the p < 0.05. Variable’s normality was assessed using Kolmogorov–Smirnov and Shapiro–Wilk tests. Chi-squared tests for categorical variables and Wilcoxon Two-Sample Tests for continuous variables were conducted to test differences between intervention and comparison groups in the demographic variables. Independent sample t-tests (or Wilcoxon Two-Sample Tests) checked the baseline differences between the two study groups in the dependent variables. To account for significant differences between groups in baseline outcomes (Rosenberg Self-esteem scale and the Body-Esteem Appearance subscale), baseline scores were included in repeated-measures ANOVA analysis as covariates.
Normally distributed variables were tested using mixed model analysis. Non-parametric tests were used to analyze variables with non-normal distribution (ADVER- Advertising scale, EAT-26). Friedman tests were used to examine the differences between study times within each group, and Wilcoxon Two-Sample Tests were used to investigate differences between the two study groups at each time point. The effect size was Cohen’s d for independent sample T-tests, marginal R2 for the mixed models, Wilcoxon effect size for the Wilcoxon Two-Sample Tests, and Kendall’s W for the Friedman test.

3. Results

3.1. Baseline Differences in Outcome Measures between Facilitators and Comparisons

Differences between facilitators and comparison group in outcome measures at baseline are shown in Table 3 and Table 4. No differences were found between the intervention and the comparison groups regarding most of the study outcomes (Body Esteem-total score, Body Esteem-Weight subscale, SATAQ-4, Self-care, and Eat-26 mean score). Significant differences were found at baseline regarding the Rosenberg Self-Esteem scale (p = 0.021), Body Esteem appearance (p = 0.040) and attribution (p = 0.048) subscales. Thus, these baseline measures were included as covariates in the repeated-measures analysis performed to assess between-group differences.
Eat-26 mean baseline score was higher, although not statistically significant in the intervention group compared to the comparison group (small effect size). Still, both scores were under 20—the pathological threshold which serves as a screening score.

3.2. Differences in Outcome Measures between Facilitators and Comparisons along Assessment Times

A mixed-models analysis regarding the normally distributed variables was performed to assess the main effects of group and time and their interaction (Table 5). Participants in the intervention group achieved superior improvements in body esteem regarding weight [F (2128) = 3.28, p < 0.05, marginal R2 = 0.025] and media pressures filtration throughout assessment times [F (2128) = 3.28, p < 0.005, marginal R2 = 0.011], though with a small effect size. This was demonstrated by the significant group × time interactions in both outcomes (Body-Esteem Weight subscale and the SATAQ-4 media subscale).
Analyses did not detect a Group × Time interaction for the Rosenberg Self-esteem (RSE) scale, the Body-Esteem Appearance, Weight subscale (with or without standardization of baseline values as covariates) and Self-care. However, significant main Time effects were found for these outcomes, suggesting that both groups tended to achieve improvement in these outcomes along the time, although with small effect sizes.
Analysis for the two non-parametric variables (Advertisements’ Strategies and Eat-26) are shown in Table 6. Regarding the identification of advertisement strategies, a statistically significant superiority of the intervention group was found compared to the comparison group with large effect size at the program conclusion (p = 0.0005, W = 0.43) and follow-up assessments (p = 0.025, W = 0.275). Significant within-group differences were found between study times in both the comparison (p = 0.002, W = 0.38) and the intervention groups (p < 0.001, W = 0.57). Suggesting that both groups tended to achieve improvement in the ability to identify advertisement strategies, with moderate effect size (0.38) in the comparison group and large effect size (0.58) in the intervention group.
Mean score in eating disorders characteristics did not differ statistically significant between the intervention and the comparison group along the assessment times (no interaction group × time). Nevertheless, a considerable within-group difference was found between study times in the intervention (p = 0.004, W = 0.33) with moderate effect size. To better understand the impact of the program delivery or non-delivery on participants EAT-26 scores, differences between groups regarding the number of participants with pathological EAT-26 scores (>20) were performed. There was a statistically significant (p < 0.05) time effect in both the comparison group and the facilitators group. The of number of participants with pathological scores in the facilitators’ group decreased while increased in the comparison group, but no statistically significant group effect or group × time effect were found (Table 7).

4. Discussion

The current study describes the quantitative personal changes that occurred among students who facilitated a school-based wellness program. Facilitators were third-year college students in emerging adulthood. The hypothesis that delivering Young Favoring Myself will enhance self-esteem, self-care, body esteem, and media literacy compared to no change in the comparison group was only partially confirmed.
Participants in the facilitators’ group demonstrated statistically significant superiority, with a large effect size regarding the improvement in identifying advertisements strategies, body esteem related to weight, and the reduced impact of media messages pressure, although with a small effect size. Media literacy is a well-known mediator to improve body-esteem, which is often targeted in prevention programs. The statistically significant decrease in facilitators’ pressure due to media messages and the increase in participants’ identification of advertisement strategies may explain at least part of the improvement in body esteem. This connection has been previously reported [21,27].
Moreover, the number of participants whose EAT-26 scores showed pathological level (>20) decreased in the facilitators’ group from 5 to 2 while in the comparison group, it increased from 5 to 6 (no statistical significance). The superiority of those delivering a wellness program may be related to improved media literacy and body esteem. The superiority of the prevention program facilitation may be related to the intervention group’s participants experiential and empowering engagement, which fulfil students’ sense of belonging (to group leaders’ team), autonomy (facilitating group), and connectedness (to their personal self-care and to the faculty prevention team). These values were reported in students written reflections and suggested by the self-determination theory as major motivational values [24].
Self-esteem, total body esteem, self-care, and identification of advertisements strategies, were improved significantly in both groups along the time. Increased self-esteem is frequently reported in mentoring and peer-teaching [32,33]. The deeper information processing may enhance conceptual and practical learning and higher-order learning skills, such as collaboration, agency, critical thinking, metacognition, and regulation [34].
The improvement in both groups regarding some of the outcomes suggests that the chosen population–third-year students, might impose a selective bias. The academic platform exposes both the comparison and the intervention participants to various challenges that might impact the study outcomes. Opportunities to feel a sense of achievement, overcoming classroom discipline issues, modeling positive self-esteem, and creating a personalized version of the materials while receiving professional feedback may all impact.
Hence, the superiority of the intervention group should be interpreted with caution, and it cannot be concluded that the achieved improvements are due to the specific program [35].
To the best of our knowledge, no publications report on body esteem, media literacy, self-care, and eating disorders characteristics of prevention program facilitators, to be compared [21,36,37,38].
In line with others’ reports about the impact of a prevention program on the target population (not facilitators), only small effect sizes were achieved among program participants’ improvement (p = 0.06, Cohen’s D = 0.29) [10,39,40]. However, others reported that the prevention program’s effects were primarily short-term and diminished during follow-up [39,40,41]. In the current study, most improved outcomes were maintained at least three months after program conclusion. It can be speculated that the long-term efforts that the facilitators invested in delivering the program and the extended supervision they were provided both individually and in groups exerted an impact on them, and thus, continued months after program termination. The excellent adherence of participants to the intervention and the research process is also worthy of note. Other studies assessing outcomes among adolescents also reported maintained results in the long term [42,43,44,45].
Several limitations in this study should be noted. The main limitation is the lack of randomization within the controlled design. Although the comparison group participants represented a similar population in sociodemographic measures, they were not chosen in the same way as the intervention group, and confounding measures such as leadership, interpersonal, life skills, delivering other school-based activity, and other academic achievements were not explored. Since both groups represent a selective sample of primarily female college students, the generalizability of our findings is limited. Moreover, outcome data were collected based on self-report surveys, due to which potential self-report biases could not be ruled out [46,47]. To reduce biases, participants did not complete questionnaires during class but were provided online links, ensuring confidentiality.
Though all facilitators were committed to non-biased delivery of the program, and delivery fidelity was ensured by recording and supervising some sessions, conflict may arise from the requirement to deliver an intervention in an unbiased fashion while holding personal views about the research questions. This could impact the intervention’s delivery fidelity [48].
Finally, though most improvements among facilitators were maintained three months after the program’s conclusion, a longer follow-up assessment and larger sample size are warranted for future studies. Future studies may also consider testing other characteristics that may mediate the program’s impact.

5. Conclusions

This study indicates the potential contribution of delivering a prevention program on facilitators’ self-esteem, body-esteem, media literacy, and eating disorders’ characteristics. These outcomes are important protective factors during emerging adulthood. Moreover, supporting students with an adequate supervision system enhancing their sense of autonomy, competence, and relatedness while they facilitate prevention program, increases their internal motivation. Our findings may be helpful for enhancing student facilitator recruitment and commitment and scale up this prevention program. It also provides insight into a previously unexplored group of emerging adults that facilitates prevention and intervention programs. Offering these programs in an educational context could be valuable for accessing many integrators using fewer resources [49] while targeting self-care, self-esteem, and body satisfaction which are essential characteristics in contemporary society, especially among emerging adults.

Author Contributions

All authors contributed substantially to this paper. M.G. contributed the first draft. D.T. and M.M., provided qualitative and quantitative information. M.M. produced the figures and tables and reviewed the report. All authors have read and agreed to the published version of the manuscript.

Funding

The college research authority funded both studies. The authority had no role in the design, collection, analysis, and interpretation of data or in writing the manuscript.

Institutional Review Board Statement

Tel Hai College Institutional Review Board approved the research protocol (No 12/2018) in December 2018 and again in August 2019. The trial methods and analysis strategy were pre-registered. The universal trial registration number is NCT03882242 (18/3/2019). All procedures were performed following the Declaration of Helsinki regulations and Consort 2010 guidelines.

Informed Consent Statement

Written informed consent was obtained from all participants.

Data Availability Statement

The data that support the findings of this study are available from the first author upon reasonable request and with the permission of The College IRB. Restrictions apply to the availability of these data by the ministry of education, and so are not publicly available.

Acknowledgments

We want to thank all facilitators who participated in this study for their cooperation and Vered Shiraz from Haifa University for providing the statistical consultation.

Conflicts of Interest

The authors declare no conflict of interest.

Trial Registration

Abbreviations

SDStandard Deviation
SATAQ-4 Sociocultural Attitudes Towards Appearance Questionnaire-4
RSERosenberg Self Esteem Scale
BESThe Body Esteem Scale
Eat-26The Eating Attitudes Test
ADVERAdvertising scale

References

  1. Arnett, J.J. Emerging adulthood: A theory of development from the late teens through the twenties. Am. Psychol. 2000, 55, 469–480. [Google Scholar] [CrossRef] [PubMed]
  2. Wood, D.; Crapnell, T.; Lau, L.; Bennett, A.; Lotstein, D.; Ferris, M.; Kuo, A. Emerging adulthood as a critical stage in the life course. In Handbook of Life Course Health Development; Halfon, N., Forrest, C., Lerner, R., Faustman, E., Eds.; Springer: Cham, Switzerland, 2017; pp. 123–143. [Google Scholar] [CrossRef] [Green Version]
  3. Howard, L.M.; Romano, K.A.; Heron, K.E. Prospective changes in disordered eating and body dissatisfaction across women’s first year of college: The relative contributions of sociocultural and college adjustment risk factors. Eat. Behav. 2020, 36, 101357. [Google Scholar] [CrossRef] [PubMed]
  4. Ganson, K.T.; Mitchison, D.; Murray, S.B.; Nagata, J.M. Legal performance-enhancing substances and substance use problems among young adults. Pediatrics 2020, 146, e20200409. [Google Scholar] [CrossRef] [PubMed]
  5. Arnett, E.J. The developmental context of substance use in emerging adulthood. J. Drug Issues 2005, 35, 235–253. [Google Scholar] [CrossRef] [Green Version]
  6. Stice, E.; Marti, C.N.; Shaw, H.; Rohde, P. Meta-analytic review of dissonance-based eating disorder prevention programs: Intervention, participant, and facilitator features that predict larger effects. Clin. Psychol. Rev. 2019, 70, 91–107. [Google Scholar] [CrossRef]
  7. Las Hayas, C.; Izco-Basurko, I.; Fullaondo, A.; Gabrielli, S.; Zwiefka, A.; Hjemdal, O.; Gudmundsdottir, D.G.; Knoop, H.H.; Olafsdottir, A.S.; Donisi, V.; et al. UPRIGHT, a resilience-based intervention to promote mental well-being in schools: Study rationale and methodology for a European randomized controlled trial. BMC Public Health 2019, 19, 1413. [Google Scholar] [CrossRef] [Green Version]
  8. Doley, J.R.; McLean, S.A.; Griffiths, S.; Yager, Z. Designing body image and eating disorder prevention programs for boys and men: Theoretical, practical, and logistical considerations from boys, parents, teachers, and experts. Psychol. Men Masc. 2020, 22, 124–134. [Google Scholar] [CrossRef]
  9. Stok, F.M.; Renner, B.; Clarys, P.; Lien, N.; Lakerveld, J.; Deliens, T. Understanding eating behavior during the transition from adolescence to young adulthood: A literature review and perspective on future research directions. Nutrients 2018, 10, 667. [Google Scholar] [CrossRef] [Green Version]
  10. Gasanov, E.; Abu Ahmad, W.; Golan, M. Assessment of “young in favor of myself”: A school-based wellness program for preadolescents. EC Psychol. Psychiatr. 2018, 7, 13–22. [Google Scholar]
  11. Li, H.C.; Wang, L.S.; Lin, Y.H.; Lee, I. The effect of a peer-mentoring strategy on student nurse stress reduction in clinical practice. Int. Nurs. Rev. 2011, 58, 203–210. [Google Scholar] [CrossRef]
  12. Astin, A.W.; Sax, L.J. How undergraduates are affected by service participation. J. Coll. Stud. Dev. 1998, 39, 251–263. [Google Scholar]
  13. Bene, K.L.; Bergus, G. When learners become teachers: A review of peer teaching in medical student education. Fam. Med. 2014, 46, 783–787. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  14. Crenshaw, C.E.; Mozen, D.M.; Dalton, W.T.; Slawson, D.L. Reflections from an undergraduate student peer facilitator in the team up for healthy living school-based obesity prevention project. Int. J. Health Sci. Educ. 2014, 2, 2. [Google Scholar] [PubMed]
  15. Jennings, J.M.; Howard, S.; Perotte, C.L. Effects of a school-based sexuality education program on peer educators: The teen PEP model. Health Educ. Res. 2014, 29, 319–329. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  16. Gilmartin, H.; Goyal, A.; Hamati, M.C.; Mann, J.; Saint, S.; Chopra, V. Brief mindfulness practices for healthcare providers—A systematic literature review. Am. J. Med. 2017, 130, 1219.e1–1219.e17. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  17. McLeod, D.A.; Jones, R.; Cramer, E.P. An evaluation of a school-based, peer-facilitated, healthy relationship program for at-risk adolescents. Child. Sch. 2015, 37, 108–116. [Google Scholar] [CrossRef]
  18. Woodard, L.J.; McKennon, S.; Danielson, J.; Knuth, J.; Odegard, P. An elective course to train student pharmacists to deliver a community-based group diabetes prevention program. Am. J. Pharm. Educ. 2016, 80, 106. [Google Scholar] [CrossRef]
  19. Strange, V.; Forrest, S.; Oakley, A. What influences peer-led sex education in the classroom? A view from the peer educators. Health Educ. Res. 2002, 17, 339–349. [Google Scholar] [CrossRef] [Green Version]
  20. Saad, A.; Rampal, L.; Sabitu, K.; AbdulRahman, H.; Awaisu, A.; AbuSamah, B.; Ibrahim, A. Impact of a customized peer-facilitators training program related to sexual health intervention. Int. Health 2012, 4, 277–282. [Google Scholar] [CrossRef]
  21. Cramer, E.P.; Ross, A.I.; McLeod, D.A.; Jones, R. The impact on peer facilitators of facilitating a school-based healthy relationship program for teens. Sch. Soc. Work J. 2015, 40, 23–41. [Google Scholar]
  22. Sheppard, C.S.; Golonka, M.; Costanzo, P.R. Evaluating the impact of a substance use intervention program on the peer status and influence of adolescent peer leaders. Prev. Sci. 2012, 13, 75–85. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  23. Golan, M.; Hagay, N.; Tamir, S. The effect of “in favor of myself”: Preventive program to enhance positive self and body image among adolescents. PLoS ONE 2013, 8, e78223. [Google Scholar] [CrossRef] [PubMed]
  24. Deci, E.L.; Ryan, R.M. Self-Determination Theory: A Macrotheory of Human Motivation, Development, and Health. Can. Psychol. 2008, 49, 182–185. [Google Scholar] [CrossRef] [Green Version]
  25. Schaefer, L.M.; Burke, N.L.; Thompson, J.K.; Dedrick, R.F. Development and validation of the sociocultural attitudes towards appearance questionnaire. Psychol. Assess. 2015, 27, 54–67. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  26. Bachner-Melman, R.; Zohar, A.H.; Elizur, Y.; Kremer, I.; Golan, M.; Ebstein, R. Protective self-presentation style: Association with disordered eating and anorexia nervosa mediated by sociocultural attitudes towards appearance. EWD 2009, 14, 1–12. [Google Scholar] [CrossRef]
  27. Rosenberg, M. Society and the Adolescent Self-Image; Princeton University Press: Princeton, NJ, USA, 1965. [Google Scholar]
  28. Michael, K. The Contribution of General and Sexually Specific Personal and Interpersonal Resources to Risky Sexual Behavior among Adolescents; University of Haifa: Haifa, Israel, 2006. [Google Scholar]
  29. Mendelson, B.K.; Mendelson, M.J.; White, D.R. Body-esteem scale for adolescents and adults. J. Personal. Assess. 2001, 76, 90–106. [Google Scholar] [CrossRef]
  30. Mouallem, M.; Golan, M. “In favor of myself for athletes”: A controlled trial to improve disordered eating, body-image and self-care in adolescent female aesthetic athletes. J. Community Med. Health Educ. 2019, 8, 633. [Google Scholar] [CrossRef]
  31. Koslowsky, M.; Scheinberg, Z.; Bleich, A.; Mark, M.; Apter, A.; Danon, Y.; Solomon, Z. The factor structure and criterion validity of the short form of the eating attitudes test. J. Personal. Assess. 1998, 58, 27–35. [Google Scholar] [CrossRef]
  32. Fisher, R.; Fisher, P. Peer education and empowerment: Perspectives from young women working as peer educators with Home-Start. Stud. Educ. Adults 2018, 50, 74–91. [Google Scholar] [CrossRef]
  33. Burgess, A.; McGregor, D. Peer teacher training for health professional students: A systematic review of formal programs 13 education 1303 specialist studies in education 13 education 1302 curriculum and pedagogy. BMC Med. Educ. 2018, 18, 263. [Google Scholar] [CrossRef] [Green Version]
  34. Yang, Y.; van Aalst, J.; Chan, C.K.K.; Tian, W. Reflective assessment in knowledge building by students with low academic achievement. Int. J. Comput. Support. Collab. Learn. 2016, 11, 281–311. [Google Scholar] [CrossRef] [Green Version]
  35. Elliott, C.; Mavriplis, C.; Anis, H. An entrepreneurship education and peer mentoring program for women in STEM: Mentors’ experiences and perceptions of entrepreneurial self-efficacy and intent. Int. Entrep. Manag. J. 2020, 16, 43–67. [Google Scholar] [CrossRef]
  36. Breithaupt, L.; Eickman, L.; Byrne, C.E.; Fischer, S. Enhancing empowerment in eating disorder prevention: Another examination of the REbeL peer education model. Eat. Behav. 2017, 25, 38–41. [Google Scholar] [CrossRef] [PubMed]
  37. Kling, J.; Kwakkenbos, L.; Diedrichs, P.C.; Rumsey, N.; Frisen, A.; Brandao, M.P.; Silva, A.G.; Dooley, B.; Rodgers, R.F.; Fitzgerald, A. Systematic review of body image measures. Body Image 2019, 30, 170–211. [Google Scholar] [CrossRef] [PubMed]
  38. Vartanian, L.R.; Hayward, L.E. Dimensions of internalization relevant to the identity disruption model of body dissatisfaction. Body Image 2020, 32, 1–4. [Google Scholar] [CrossRef]
  39. Breithaupt, L.; Eickman, L.; Byrne, C.E.; Fischer, S. REbeL peer education: A model of a voluntary, after-school program for eating disorder prevention. Eat. Behav. 2017, 25, 32–37. [Google Scholar] [CrossRef]
  40. Crush, E.A.; Frith, E.; Loprinzi, P.D. Experimental effects of acute exercise duration and exercise recovery on mood state. J. Affect. Disord. 2018, 229, 282–287. [Google Scholar] [CrossRef]
  41. Langmesser, L.; Verscheure, S. Are eating disorder prevention programs effective? J. Athl. Train. 2009, 44, 304–305. [Google Scholar] [CrossRef]
  42. Sundgot-Borgen, C.; Friborg, O.; Kolle, E.; Torstveit, M.K.; Sundgot-Borgen, J.; Engen, K.M.; Rosenvinge, J.H.; Pettersen, G.; Bratland-Sanda, S. Does the Healthy Body Image program improve lifestyle habits among high school students? a randomized controlled trial with 12-month follow-up. J. Int. Med. Res. 2019, 48, 1–17. [Google Scholar] [CrossRef] [Green Version]
  43. Stice, E.; Andersson, G.; Persson, J.E. A randomized controlled trial of the effectiveness of virtually delivered body project (vBP) groups to prevent eating disorders. J. Consult. Clin. Psychol. 2020, 88, 643–656. [Google Scholar]
  44. Tirlea, L.; Truby, H.; Haines, T.P. Pragmatic, randomized controlled trials of the girls on the go! program to improve self-esteem in girls. Am. J. Health Promot. 2016, 30, 231–241. [Google Scholar] [CrossRef]
  45. Xie, X.; Gai, X.; Zhou, Y. A meta-analysis of media literacy interventions for deviant behaviors. Comput. Educ. 2019, 139, 146–156. [Google Scholar] [CrossRef]
  46. Fuller, K.A.; Karunaratne, N.S.; Naidu, S.; Exintaris, B.; Short, J.L.; Wolcott, M.D.; Singleton, S.; White, P.J. Development of a self-report instrument for measuring in-class student engagement reveals that pretending to engage is a significant unrecognized problem. PLoS ONE 2018, 13, e0205828. [Google Scholar] [CrossRef] [Green Version]
  47. Ruggieri, R.A.; Santoro, E.; De Caro, F.; Palmieri, L.; Capunzo, M.; Venuleo, C.; Boccia, G. Internet addiction: A prevention action-research intervention. Epidemiol. Biostat. Public Health 2016, 13, e11817-1–e11817-5. [Google Scholar] [CrossRef]
  48. Eborall, H.C.; Dallosso, H.M.; Daly, H.; Martin-Stacey, L.; Heller, S.R. The face of equipoise-delivering a structured education programme within a randomized controlled trial: Qualitative study. Trials 2014, 15, 15. [Google Scholar] [CrossRef] [Green Version]
  49. Neumark-Sztainer, D. Eating disorders prevention: Looking backward, moving forward; looking inward, moving outward. Eat. Disord. 2016, 24, 29–38. [Google Scholar] [CrossRef]
Figure 1. CONSORT 2010 Flow Diagram.
Figure 1. CONSORT 2010 Flow Diagram.
Ijerph 19 04278 g001
Table 1. Content and description of the program sessions.
Table 1. Content and description of the program sessions.
Session NumberTopicDescription
1IntroductionIntroducing the program’s objectives and goals, forming the groups, discussing expectations, and establishing the group contract.
2Self-careDiscussing sleeping and eating hygiene, exercise, sharing self-care experiences and outcomes.
3Self-preservationDiscussing territorial issues, self-space, and territorial boundaries.
4Media literacyExploring and recognizing advertisements’ tactics and their impact on ourselves and discussing ways to address media temptations.
5Our feelingsFacilitating a “feeling differentiation” activity. Sharing and recognizing observed and hidden feelings. Discussing feelings management strategies.
6Accepting appearance differencesDiscussing the ideal appearance in comparison to their unrealistic and narrow construction. Learning strategies to avoid and challenge comparisons and that different look is not necessarily a bad thing.
7Accepting our weaknessesDiscussing how people turn their defects into productive effects. Learning how to accept disadvantages or weaknesses that cannot be changed.
8My body and IExploring the physical changes during adolescence and role-play management strategies.
9Adolescence rights and responsibilitiesDiscussing how growing up makes us take different responsibilities and gaining more independence and rights.
10Summary and commitmentReviewing key messages. Committing to engaging in positive self-care and positive body-image behaviors and rejecting risk factors.
Table 2. Participants’ baseline demographic characteristics.
Table 2. Participants’ baseline demographic characteristics.
Comparison
n = 33
Intervention
n = 33
p-Value 1
Age, mean ± standard deviation26.3 ± 1.426.2 ± 1.90.35
Gender, n (%)Male5 (15.1)5 (15.1)1.0000
Female28 (84.9)28 (84.9)
Parental status, n (%)Living alone6 (18.2)5 (15.1)0.74
Living in a relationship27 (81.8)28 (84.9)
Socioeconomic status 2, mean ± standard deviation, median0.9 ± 0.4, 0.80.9 ± 0.2, 1.00.74
1 Chi-square test for gender/parental status, Wilcoxon Two-Sample Test for age/Socioeconomic status; 2 Calculated by the number of people per room in residence.
Table 3. Baseline differences between facilitators and comparisons in parametric outcome measures.
Table 3. Baseline differences between facilitators and comparisons in parametric outcome measures.
Comparison Group
n = 33
Intervention Group
n = 33
p ValueCohen’s d 1
MeanStdMeanStd
Rosenberg29.824.8032.363.860.0208 *0.58
Body-esteem Total2.150.722.460.650.07360.45
Body-esteem Appearance2.240.782.610.720.0483 *0.49
Body-esteem Weight2.380.872.370.800.98630.01
Body-esteem Attribution2.080.792.450.640.0404 *0.51
SATAQ-4 media2.981.103.301.160.26900.28
Self-care38.673.4739.003.930.71610.09
* Significant differences; 1 Cohen’s d effect size interpretation: <0.20 small effect; >0.50 medium effect; >0.80 large effect.
Table 4. Baseline differences between facilitators and comparisons in non-parametric outcome measures.
Table 4. Baseline differences between facilitators and comparisons in non-parametric outcome measures.
Comparison Group
n = 33
Intervention Group
n = 33
p Value
(Effect Size 1)
MeanStdMedianMeanStdMedian
ADVER4.331.734.004.671.435.000.4645
(0.090)
EAT_2610.0011.406.0011.828.0510.000.0522
(0.239)
1 Wilcoxon effect size (r) interpretation: <0.3 small; <0.5 moderate; >0.5 large effect; EAT-The Eating Attitudes Test.
Table 5. Differences in outcome measures between groups and changes within each group (parametric outcome measures).
Table 5. Differences in outcome measures between groups and changes within each group (parametric outcome measures).
Comparison GroupIntervention GroupEffectF (df)Effect Size
Marginal R2
BaselinePost-InterventionFollow-UpBaselinePost-InterventionFollow-Up
Rosenberg 1Mean29.8230.0831.432.3633.4233.88Group31.81 (1.63) ***0.072
Std4.804.785.143.864.274.34Time4.94 (2.126) **
n333333333333Group × Time0.48 (2.126)
Body-esteem TotalMean2.152.252.392.462.632.65Group4.18 (1.64) *0.066
Std0.720.700.750.650.650.63Time6.61 (2.128) **
n333333333333Group × Time0.51 (2.128)
Body-esteem Appearance 1Mean2.242.392.172.612.722.61Group0.60 (1.63)0.088
Std0.780.720.940.720.690.78Time6.13 (2.126) **
n333333333333Group × Time0.36 (2.128)
Body-esteem WeightMean2.382.172.262.372.512.57Group1.25 (1.64)0.025
Std0.870.891.010.800.830.79Time0.53 (2.128)
n333333333333Group × Time3.28 (2.128) *
Body-esteem AttributionMean2.082.022.312.452.622.68Group8.60 (1.64) **0.115
Std0.790.770.590.640.650.69Time6.13 (2.128) **
n333333333333Group × Time1.98 (2.128)
SATAQ-4 mediaMean2.983.203.113.302.953.08Group0.00 (1.64)0.011
Std1.101.211.131.161.021.14Time0.17 (2.128)
n333333333333Group × Time3.28 (2.128) *
Self-careMean38.6741.1539.7039.0041.0639.76Group0.03 (1.64)0.085
Std3.472.873.043.932.662.36Time16.17 (2.128) ***
n333333333333Group × Time0.14 (2.128)
1 Baseline scores for these variables were included in the repeated-measures ANOVA analysis as covariates; * p < 0.05 ** p < 0.01 *** p < 0.001.
Table 6. Differences in outcome measures between groups and changes within each group (non-parametric outcome measures).
Table 6. Differences in outcome measures between groups and changes within each group (non-parametric outcome measures).
Comparison Group
n = 33
Intervention Group
n = 33
p Value 1
(Effect Size)
MeanStdMedianp Value 2
(W)
MeanStdMedianp Value 2
(W)
ADVERBaseline4.331.734.000.0020
(0.38)
4.671.435.00<0.0001
(0.57)
0.4645
(0.090)
Post-intervention4.301.635.005.641.546.000.0005
(0.431)
Follow-up5.121.195.005.791.496.000.0255
(0.275)
EAT-26Baseline10.0011.406.000.0780
(0.15)
11.828.0510.000.0041
(0.33)
0.0522
(0.239)
Post-intervention7.368.464.009.307.878.000.0656
(0.227)
Follow-up9.949.605.0010.009.388.000.5586
(0.072)
1 Group effect (Wilcoxon Two-Sample Test). Wilcoxon effect size (r) interpretation: <0.3 small; <0.5 moderate; >0.5 large effect. 2 Time effect (Friedman’s Chi-Square Test). Kendall’s W effect size interpretation: <0.3(small effect), <0.5 moderate and >0.5 (large).
Table 7. Differences between the number of participants with eating disorders characteristics.
Table 7. Differences between the number of participants with eating disorders characteristics.
Comparison Group
n = 33
Intervention Group
n = 33
EffectChi-Square (df)Effect Size
Score > 20
n%n%
EAT-26Baseline515.15515.15Group0.63 (1)0.027
Post-intervention39.0926.06Time7.17 (2) *
Follow-up618.1826.06Group × Time3.16 (2)
Within each group, along with the assessment times. * p < 0.05; EAT-26: The Eating Attitudes Test.
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Golan, M.; Tzabari, D.; Mozeikov, M. The Impact of Delivering School-Based Wellness Programs for Emerging Adult Facilitators—A Quasi-Controlled Clinical Trial. Int. J. Environ. Res. Public Health 2022, 19, 4278. https://doi.org/10.3390/ijerph19074278

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Golan M, Tzabari D, Mozeikov M. The Impact of Delivering School-Based Wellness Programs for Emerging Adult Facilitators—A Quasi-Controlled Clinical Trial. International Journal of Environmental Research and Public Health. 2022; 19(7):4278. https://doi.org/10.3390/ijerph19074278

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Golan, Moria, Dana Tzabari, and Maya Mozeikov. 2022. "The Impact of Delivering School-Based Wellness Programs for Emerging Adult Facilitators—A Quasi-Controlled Clinical Trial" International Journal of Environmental Research and Public Health 19, no. 7: 4278. https://doi.org/10.3390/ijerph19074278

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