Skip to main content
Sports Medicine - Open
Download PDF
  • Original Research Article
  • Open access
  • Published:

Social Media, Body Image and Resistance Training: Creating the Perfect ‘Me’ with Dietary Supplements, Anabolic Steroids and SARM’s

Sports Medicine - Open volume 7, Article number: 81 (2021) Cite this article

Abstract

Background

Few studies have assessed the use of dietary supplements, anabolic androgenic steroids (AAS) and selective androgen receptor modulators (SARM) in male gym users. The comparison of physical appearance with others on social media and the exposure to fitness-related content on social media (i.e., image-centric social media use) may have a profound role in using these compounds due to its role in creating negative body images in male gym users.

Objective

Provide contemporary data on the use of dietary supplements, AAS and SARM among young male gym users, and test the hypothesis that social media is associated with the use of dietary supplements, AAS and SARM, as a result of a negative body image.

Methods

In this cross-sectional study, conducted in the Netherlands, male gym users (N = 2269; 24 ± 6 years) completed an online questionnaire including self-reported measures regarding resistance training participation, image-centric social media use, dietary supplement intake, and body image. The prevalence of AAS and SARM use was assessed with randomized response, a technique to ask sensitive questions indirectly.

Results

Of all participants, 83% used ergogenic dietary supplements (mainly protein and creatine), and an estimated 9 versus 2.7% had ever used AAS versus SARM. Image-centric social media use was positively associated with the use of dietary supplements (r = .26; p < 0.01) and AAS (p < 0.05), but not SARM. Image-centric social media use was associated with a more dissatisfied body image (r = .34; p < 0.01). Body image did not mediate the relationship between image-centric social media use and the use of doping compounds.

Conclusions

The use of dietary supplements in young male gym users is exorbitant, with the use of AAS and SARM being substantial. Image-centric social media use is positively associated with the use of dietary supplements and AAS.

Key Points

  • This novel study was the first to report a lifetime prevalence rate of SARM use (2.7%) among a sample of young male gym users. Lifetime versus current prevalence rates of AAS use was 9.0 versus 3.6%, and a high prevalence of dietary supplements such as protein (81.2%), creatine (46.2%) and pre-workout (44.2%) was observed.

  • The combination of exposure to fitness-related content on social media and comparing one’s physical appearance with others based on this fitness-related content was associated with the use of dietary supplements and AAS.

  • Considering the significant use of dietary supplements, AAS, and SARM among young male gym users, fitness associations, anti-doping agencies and sports medicine communities should work together, to support gym users to reach their fitness goals in healthy and sustainable manners.

Introduction

Resistance training by recreational sportspeople in fitness settings has become increasingly popular worldwide [1]. To illustrate, in 2019, fitness was the most popular sport in the Netherlands, with ~ 3.2 million citizens registered as a gym club member, which is almost 20% of the national sample [2]. Besides health-related reasons, improving physical appearance by increasing muscle mass and decreasing body fat is a predominant motive for engaging in resistance training in fitness settings [3, 4]. However, even with much training and self-discipline, gaining muscle mass and reaching a muscular and toned body is a slow process that takes effort, time, and patience.

Dietary supplements are believed to accelerate the process of reaching the desired muscular body. Indeed, a high use of ‘muscle-building’ supplements as protein shakes, pre-workout supplements and creatine among recreational gym users has been observed [3, 5, 6]. To illustrate, 36.8% of the gym members in Brazil report the regular use of supplements, such as protein and creatine, mainly to increase strength and muscle mass [3]. In reality, however, protein and creatine provide only marginal additional gains in muscle mass with resistance training [7, 8].

In their quest for fast or unrealistic results, some gym users are also attracted to other, more active compounds than dietary supplements, such as anabolic androgenic steroids (AAS) [6, 9, 10], that result in fast and significant increases in muscle mass [11]. Although highly effective, using AAS can have severe negative health consequences, including an increased risk of cardiovascular incidents [12,13,14,15]. In addition to AAS, there are some indications, mainly based on analysis of online sales of doping substances [16], that gym users also started using more experimental drugs, such as selective androgen receptor modulators (SARM) [17, 18]. However, little is known about the efficacy and safety of the use of SARM in humans [19]. Regardless, both SARM and AAS, often termed together as ‘image and performance-enhancing drugs,’ are predominantly used to increase muscularity and modify appearance [9, 10, 18]. Particularly the group of young male gym users has been indicated as ‘at risk’ for the use of image and performance-enhancing drugs [20]. A recent meta-analysis indeed showed higher prevalence rates in gym users (~ 18.4%), compared to the prevalence rate in the overall global population (~ 3.3%) [21]. Surprisingly, the most recent data from the Netherlands showed a prevalence rate of AAS use among gym users of only 1.0% [4], although these data date back to 2013. In contrast to AAS, there are currently no prevalence data available on the use of SARM. Also, it must be noted that research on the prevalence of AAS or other doping use may be substantially flawed, as this type of research is highly sensitive for social desirability bias [4, 21, 22]. Taken together, this highlights the need for up to date, high-quality research on image and performance-enhancing drug use among male gym users.

Although data among gym users are limited, it is generally believed that gym users mainly consult the internet and social media for information regarding training, nutrition and supplements [3]. Problematic, though, is that social media is not only a seedbed for misinformation [23], there is also a growing body of evidence showing that social media use is associated with body image concerns and other negative health outcomes, such as eating disorders [24, 25]. Possible explanations why social media may cause body dissatisfaction include the continuous physical appearance comparisons with idealized images of models and peers [26, 27]. Indeed, social media typically depicts illustrations of ‘perfect’ male bodies, referring to muscular and toned bodies [26]. Besides body image, exercise and nutritional behavior of gym users may also be affected by exposure to fitness-related content on social media, such as images of physically fit peers or fitness influencers performing resistance exercise, promoting dietary supplements, or advocating a ‘bodybuilding lifestyle’ [28]. Striving for these perfectly depicted bodies, conversely, can have undesirable health implications regarding body image and eating disorders [25, 29, 30].

Although most of the research on social media and body image has focused on women [26], evidence is emerging that social media also plays an important role in body image concerns in young men, as the drive of young men for a bigger, more muscular body is becoming more prevalent [31, 32]. In light of striving toward an idealized body, a negative body image may be an important factor in explaining why social media may be associated with behaviors aimed at accelerating the desired muscular body in young male gym users, such as using dietary supplements and image and performance-enhancing drugs [33, 34]. This raises the question if and to what extent the comparison of physical appearance with others on social media in combination with the exposure to fitness-related content on social media, labelled in the current study as image-centric social media use, is associated with the use of image and performance-enhancing drugs, specifically in young male gym users.

The Present Study

Firstly, the current study aimed to provide contemporary data on the use of ergogenic dietary supplements, AAS, and SARM among young male gym users, with the prevalence of AAS and SARM use investigated with randomized response measures, a technique to omit social desirability and response bias. Next, as so far no direct evidence exists, the current study also aimed to provide a first empirical test of the idea that image-centric social media use, is associated with the use of these compounds in young men as a result of a negative body image. To this end, the prevalence regarding the use of dietary supplements, AAS, and SARM was assessed in a large cohort of young male gym users in the Netherlands, in combination with data on social media use and body image. In case social media use indeed predicts the use of dietary supplements, AAS, and SARM, mediation analyses will be conducted to test whether these effects are explained by a negative body image. We hypothesized that image-centric social media exposure is positively associated with the use of dietary supplements, AAS and SARM and that this relationship is mediated by body image.

Methods

Participants

In total, 2269 male participants completed the study. Participants had a mean age of 24 (SD = 6, range 18–40) years, and the majority of participants reported Dutch as their nationality (97%). All participants were gym users and performed resistance training on average for 7 h/ week (SD = 3), for on average 5 years (SD = 5). See Additional file 1 for other characteristics.

Procedure

To reach a national representative population of gym users, flyers were distributed via fitness clubs, social media and online fora that were related to fitness, resistance training, nutrition and supplements across the Netherlands. Additionally, fitness clubs registered in the trade register of the Netherlands Chamber of Commerce were randomly selected. At least two attempts were made to contact the owners of these fitness clubs by telephone, to ask to share the study advertisement with their club members. In addition, national influencers on social media were asked to share the advertisement, and a nationwide social media advertisement campaign was launched. Data collection took place in September 2020, using a web-based survey designed with Qualtrics™. In this period, gyms had been reopened for ~ 8 weeks after having been closed for ~ 14 weeks due to Covid-19-related lockdown.

The advertisement included a link to the online study. After reading the information letter and giving informed consent, three questions assessed whether participants met the inclusion criteria. Inclusion criteria were being male, being between 18 and 40 years old, and performing resistance training. Only if all three inclusion criteria were met, participants were included and forwarded to the remainder of the study. After assessing demographics and details about their resistance training routine, participants answered questions regarding social media use, body image and the use of dietary supplements and image and performance-enhancing drugs (see below). The full original questionnaire is available via the Open Science Framework (https://osf.io/4kcy7/). After completion, participants were thanked and among interested participants there was a raffle to obtain gifts such as certificates, protein powder or fitness-related books. The study protocol was reviewed and approved by the Faculty Ethical Committee of Utrecht University (#20-129).

Measures

Demographics

We asked for age, gender, nationality, education level, body weight and height.

Resistance Training

After explaining what was considered as resistance training (training with weights, such as barbells, dumbbells or machines), open ended questions assessed how many years and how many hours per week participants were involved in resistance training. Further, participants had to indicate the main reasons to partake in resistance training [4], the specific type of training (e.g., resistance training in a fitness setting, powerlifting, weightlifting), and to what extent fitness was important to them on a scale ranging from 1 (very unimportant) to 5 (very important). Finally, they were asked to indicate whether they participated in bodybuilding competitions (yes/no).

Social Media Use

Measurement of social media use was based on research by Fardouly and coworkers [35] and divided between frequency of social media use and image-centric social media use.

To measure frequency of social media use, participants were asked to rate on 7-point scales to what extent they used the social media platforms Facebook, Instagram, Snapchat, YouTube or ‘other’ ranging from 1 (not at all) to 7 (very often). They also rated on a 8-point scale, ranging from 1 (not at all) to 8 (every 5 min), how often they checked their social media, and on a 13-point scale ranging from 1 (5 min or less) to 13 (10 h or more) how much time they spent on social media on a typical day. A principal components analysis was performed for the construction of the frequency scale (Cronbach’s Alpha = 0.76). See Additional file 4 for a description of the construction (principal component analysis) of the frequency of social media use scale.

To measure ‘image-centric social media use’ (in figures and tables abbreviated as ‘ISMU’), we created a novel measure. Image-centric social media use refers to the combination of the exposure to fitness-related content on social media and comparing one’s physical appearance with others based on this fitness-related social media content. Before assessing image-centric social media use, participants were first informed that ‘fitspiration’ refers to a combination of fitness and inspiration and that it contains images related to, for example, gym users or bodybuilders showing their muscles. We used the more generally known term ‘fitspiration,’ rather than ‘image-centric social media use’ to not burden the participants with professional terms. Eight items included the amount of contact with fitness-related content and the comparison of the participants’ physical appearance with peers and so-called influencers, with the latter being mainly based on the Physical Appearance Comparison Scale (PACS) modified by Fardouly and Vartanian [36]. Participants were first asked on 5-point scales how often they look at images depicting gym users (peers or models) or bodybuilders showing their muscles on social media, ranging from 1 (never) to 5 (always). Then, they rated on 5-point scales ranging from 1 (never) to 5 (very often): ‘When looking at photos of the following people on social media, how often do you compare your physical appearance to theirs?’ The target groups included either family, friends, acquaintances (i.e., people they know personally) or celebrities such as fitness models, actors and athletes. Participants also indicated their proportion of time on social media devoted to fitness, bodybuilding and supplements on scales ranging from 1 (a few) to 5 (very much). Finally, participants indicated on four items, on 5-point scales ranging from 1 (very unimportant) to 5 (very important), the extent to which they deemed it important to (a) appear physically well with high muscularity and low body fat and (b) how other people judge their physical appearance, and the extent to which (c) fitness models and fitness influencers versus (d) friends and acquaintances were important for how they appreciated their own bodies. A principal components analysis was used to obtain the image-centric social media use scale, with scale scoring containing a weighted average of the item scores, with weights proportional to the component loadings of the 1st principal component. The scale scores were standardized with mean 0 and variance 1. The component explained 42.4% of the variance of the items, and the reliability analysis of the items yielded a Cronbach’s Alpha of 0.76. See Additional file 4 for a description of the construction (principal component analysis) of the image-centric social media use scale.

Body Image

Body image was assessed by the Revised Male Body Attitudes Scale (MBAS-R [37]), including 15 questions. Participants rated on 5-point scales (1 = never to 5 = always) how satisfied they were with their muscularity (7 questions; e.g., ‘I think I have too little muscle on my body’), their body fat (5 questions; e.g., ‘I think I have too much fat on my body’) and their height (3 questions; e.g., ‘I feel ashamed of my height’). The Cronbach’s alphas for the subscales were αmuscularity = 0.84, αbody fat = 0.88, αheight = 0.72, and for the overall body image scale α = 0.79. In the context of this paper we report the overall body image scale and the subscale muscularity as descriptive data, and we used the overall body image scale for the mediation analyses. For the descriptive data, reporting an average score above 3.5 was considered as an unsatisfied body image, which relates to standardized scores of 1.65 above the mean.

Dietary Supplements and Pre-workout

Supplements were described as sports nutritional supplements like protein powders, shakes and bars, weight gainers, and performance enhancing supplements such as creatine, caffeine, beta-alanine, sodium bicarbonate or pre-workout. It was stressed that (multi)vitamin preparations and omega-3 fatty acids were not considered as supplements. Participants first rated if they had been using supplements the preceding four weeks (yes/no). If so, questions regarding the prevalence and motives for the use of dietary supplements were assessed, based on work by Wardenaar and colleagues [5]. Participants had to indicate their motives for supplement use (e.g., increasing muscle mass, increasing muscle strength, decreasing fat mass, more energy to exercise). Next, participants indicated to what extent they consulted the following sources of information regarding using supplements: social media, websites, personal trainer/fitness instructor, sports dietician/nutritionist, magazines, scientific literature, books, family/friends/sport buddies or something else. Next, they rated if they had been using pre-workout supplements the preceding four weeks (yes/no). If so, the frequency was assessed: participants had to imagine they do 7 strength training session per week and had to indicate how many of those workouts they use a pre-workout supplement. The most important motive for using pre-workout supplements was assessed by an open-entry question. Then, the prevalence of supplement use was rated on a 31-point scale (0 = zero days per month, 30 = every day a month). The following 11 dietary supplements where included in the questionnaire: protein, branched-chain amino acids, weight gainer (carbohydrates), fat burners, creatine, beta-alanine, caffeine, sodium bicarbonate, beta-hydroxy-beta-methylbutyrate (HMB), collagen, citrulline and the option ‘other.’ Finally, participants rated the extent to which using supplements was important for them on a scale ranging from 1 (very unimportant) to 7 (very important). See Additional file 4 for a description of the construction (principal component analysis) of the dietary supplement use scale.

Image and Performance-Enhancing Drugs

The use of AAS and SARM was assessed using the randomized response technique (RRT) [38], specifically, an adapted version of the Kuk’s design was used [39]. The RRT guarantees the anonymity of respondents when answering sensitive questions, such as the use of doping. The basic idea of the technique is to randomly perturb the answers to the sensitive question with probabilities set by the researcher. These perturbations offer privacy protection, since the answer does not necessarily coincide with the status on the sensitive attribute. But because the perturbation probabilities are known, a prevalence estimate of the sensitive attribute can be made on the group-level [38]. A meta-analysis showed that this technique is a more valid option when compared to direct questions, when researching sensitive issues [40]. Accordingly, the RRT has previously been used effectively in research evaluating the prevalence of doping use in elite athletes [22] and regular gym users [4]. For a full description of the method used in the current study, see Additional file 2.

The three sensitive questions posed in the RRT-format were: (1) whether participants used AAS in the last year; (2) whether they had used AAS at any point during their life; and (3) whether they had used SARM at any point during their life. During the questionnaire, participants were provided with the (brand) names of the anabolic steroids commonly used in the Netherlands (e.g. testosterone, nandrolone (‘Deca’), trenbolone (‘tren’), Stanozolol (‘Winstrol’) and oxandrolone (‘Anavar’)) [12].

Data Analysis

Statistical analyses and calculation were performed using SPSS 25.0 (IBM Corp., Armonk, NY) and R 4.0.5 [41]. The R package ‘psych’ [42] was used for the principal components and reliability analysis. Associations between variables were analyzed using Pearson’s correlation coefficient. For each mediation analysis, four regression analyses were conducted to assess the total, direct and indirect effects of the predictor image-centric social media use on each of the dependent variables: supplements, AAS (current and lifetime use) and SARM (lifetime use). The effects were tested using directional hypotheses with one-sided t-tests. For the latter three dependent variables, logistic regression models were used that account for randomized response [43]. For an extensive description of the mediation analyses on social media use, dietary supplements, body image and AAS and SARM use, see Additional file 3. Data are presented as mean (SD) and percentages (%).

Results

Resistance Training

On average, participants were involved in resistance training for 5 years (SD = 5) and trained on average 7 h per week (SD = 3). The type of training reported by the majority of the participants was regular strength training in a gym/ recreational bodybuilding (44.6%). For the remainder, participants were mainly engaged in CrossFit (4.1%), powerlifting (3.6%) or Olympic weightlifting (2.2%), but most of the time these sports were combined with regular strength training in a gym/ recreational bodybuilding (31.7%). Only 2.4% of the population reported to participate in bodybuilding competitions. Reported motives to perform resistance training were: improving physical appearance by increasing muscle mass and decreasing fat mass (45.6%), improving overall health (23.3%), increasing muscle strength (17.0%), enhance sports performance (11.2%) or other reasons (3.0%). Of all participants, 78.7% rated resistance training as a (very) important component of their daily life.

Frequency of Social Media

Of the sample, 80 and 95% reported to have a Facebook and Instagram account, respectively. The most frequently used social media platforms were Instagram (‘often’ to ‘very often’: 74.6%) and YouTube (‘often’ to ‘very often’: 66.1%), followed by Snapchat (‘often’ to ‘very often’: 45.2%), Facebook (‘often’ to ‘very often’: 18.9%), and other (‘often’ to ‘very often’: 11.2%). Most participants (72.8%) checked their social media every few hours to every hour, with 10.9% checking their social media every 30 min or more. The majority of the participants (56.2%) spent 1–2 h a day on social media, with 12.3% spending 3 h a day or more on social media.

Image-Centric Social Media

While the total score of the image-centric social media scale was used for mediation analysis, we report here the descriptives of some single items included in the total scale to provide a compelling illustration. Related to watching fitness-related content on social media, 32.9% of all participants indicated that they ‘very often’ to ‘always’ watched people and bodybuilders workout and show their muscles. In addition, 37.3% indicated that they watched ‘much’ to ‘very much’ content related to fitness, bodybuilding and supplements. Related to physical appearance comparison on social media, of all participants, 71.5% indicated that it is ‘important’ to ‘very important’ to have a good physical appearance (muscular and/or low body fat). Also, 30.1% reported that it is ‘important’ to ‘very important’ what others think of the participants’ physical appearance. Furthermore, 27.7% indicated that people they personally know (e.g., friends and family) are ‘important’ to ‘very important’ in the way they look at their own physique, as opposed to 10.5% of people they do not personally know (e.g., fitness models, actors and athletes).

Body Image

Of all participants, 5.1% were not satisfied with their body (i.e., average score above 3.5 of the 5 point scale, which corresponds to standardized score of 1.65 above the mean), and 19.6% was not satisfied with their muscularity. See Fig. 1 for the distribution of the body image scores on the MBAS.

Fig. 1
figure 1

Histogram of standardized scores on body image (BI) as measured in young male gym users with the Revised Male Body Attitudes Scale (MBAS-R). Scores of − 1 representing 1 SD below the mean and + 1 representing 1 SD above the mean

Full size image

Prevalence of Dietary Supplement and Pre-workout Use

The prevalence of the use of the different dietary supplements is presented in Fig. 2. Of all participants, 82.8% reported to have used dietary supplements in the last four weeks. The most reported supplements were protein (81.2%), creatine (46.2%) and caffeine (45.1%). Of all participants, 25% vs. 29.6% of the participants indicated daily use of protein versus creatine, respectively. The most reported motives for the use of supplements were to increase muscle mass (53.4%), to increase the energy to train (22.4%), to increase muscular strength (21.8%), or to decrease fat mass (2.4%). Of the participants using supplements, 44.2% reported to have used a pre-workout formula in the past 4 weeks, with 25.4% using pre-workout every training day, mainly to stimulate ‘motivation,’ ‘focus,’ ‘concentration,’ and the ‘energy boost.’ The main sources of information regarding the use of supplements were websites (‘often’ to ‘very often’: 65.4%), scientific literature (‘often’ to ‘very often’: 43.6%), friends and family (‘often’ to ‘very often’: 41.7%), social media (‘often’ to ‘very often’: 32%), fitness trainer/ personal trainer (‘often’ to ‘very often’: 26.3), sports dietitian of sports nutritionist (‘often’ to ‘very often’: 16.2%), books (‘often’ to ‘very often’: 16.5%) or magazines (‘often’ to ‘very often’: 5.6%). Of all participants, 27.2% rated the use of supplements to be ‘important’ to ‘very important.’

Fig. 2
figure 2

Prevalence (%) of dietary supplement use in young male gym users in the Netherlands. BCAA: branch-chained amino acids; NaHCO3: sodium bicarbonate; HMB: beta-hydroxy-beta-methylbutyrate

Full size image

Prevalence of Image and Performance-Enhancing Drug Use

The prevalence of AAS and SARM use is presented in Table 1.

Table 1 Prevalence of AAS and SARM use in young male gym users in the Netherlands
Full size table

Main Analyses

Table 2 contains the correlation coefficients for image-centric social media use, frequency of social media use, supplement use and body image (total scale and muscularity subscale). Noteworthy is that image-centric social media use showed significant associations with supplement use (r = 0.26; p =  < 0.01) and body image (r = 0.34; p = < 0.01), while the frequency of social media use refrained from significant pairings.

Table 2 Pearson correlations between image-centric social media use (ISMU), frequency of social media use (FSMU), supplement use (SUPP), and body image (split out for body image total scale and muscularity subscale), among young male gym users in the Netherlands
Full size table

Figure 3a depicts the results of the mediation analyses with dependent variable supplement use. It shows that image-centric social media use has a significant total effect on supplement use (\({b}_{ismu}=0.255, SE=0.020, t=12.6, p<.001\)), indicating that for each standard deviation increase on the image-centric social media use scale, the score on the supplements scale increases with 0.255 standard deviations. Image-centric social media use also has a significant effect on body image (\({b}_{ismu\to body image}=0.342, SE=0.020, t=17.3, p<.001\)), indicating that the score on the body image scale increases with 0.342 standard deviations with each standard deviation increase on the image-centric social media use scale. In the model with body image and image-centric social media use, the effect of body image is not significant (\({b}_{body image}^{*}=0.006, SE=0.022, t=0.278, p=0.340\)). As a consequence, there is no significant mediation effect of body image on SUPP, and the indirect of 0.253 remains practically equal to the total effect of 0.255.

Fig. 3
figure 3

a–d Parameter estimates (and standard errors) of the mediation model with dietary supplement use (SUPP: a), current anabolic androgenic steroid use (AAScurrent: b), lifetime anabolic androgenic steroid use (AASlifetime: c), and lifetime selective androgen receptor modulator use (SARM: d). ISMU: image-centric social media use. Dashed lines indicate parameter estimates that come from one single model with 2 predictors. Significance codes: *p < .05, **p < .01, ***p < .001

Full size image

Figure 3b, c depicts the results of the mediation analysis with lifetime and current AAS as dependent variables. The total effect of image-centric social media use on lifetime AAS is significant in the directional test (\({b}_{ismu}=0.322, SE=0.177, t=1.82, p=0.034\)), indicating that the probability of AAS use increases with more image-centric social media use. To give an idea of the effects size, for the score of minus 1 standard deviation and plus 1 standard deviation from the mean on the image-centric social media use scale, the respective probability estimates of AAS use are 0.064 and 0.115. As in the previous model, however, the slope of body image is not significant (\({b}_{body image}^{*}=0.079, SE=0.145, t=0.55, p=.24\)), and therefore there is no evidence for a mediation effect of body image. The total effect of image-centric social media use on current AAS is slightly larger (\({b}_{ismu}=0.699, SE=0.309, t=2.26, p=0.012\)), but as for lifetime AAS there is no evidence for mediation.

Figure 3d depicts the results of the mediation analysis with SARM as dependent variable. The total effect of image-centric social media use on SARM is larger than its effect on AAS (\({b}_{ismu}=0.468, SE=0.390, t=1.2, p=0.12\)), yielding estimated probabilities of SARM use at minus 1 and plus 1 standard deviation from the mean on the image-centric social media use scale of, respectively, 0.016 and 0.039, but the effect is not statistically significant. The effect of body image on SARM is significant (\({b}_{body image}^{*}=0.830, SE=0.357, t=2.33, p = 0.010\)), yielding estimated probabilities of SARM use at minus 1 and plus 1 standard deviation from the mean on the body image scale of, respectively, 0.009 and 0.046, given a mean score of 0 on the image-centric social media use scale. As a consequence, there is a substantial difference between the total effect (0.468) and the indirect effect (0.148) of image-centric social media use. The difference between the total and direct effect cannot be attributed to the mediation effect of body image, since the total effect of image-centric social media use was not statistically significant.

Discussion

The aim of the current study was to provide contemporary data on the use of dietary supplements, AAS and SARM, and test the idea that social media, and in particular its images, are associated with the use of these compounds in young male gym users as a result of a negative body image. Findings revealed that the larger part (83%) of young male gym users in the Netherlands uses dietary supplements (e.g., protein, creatine, etc.), and an estimated 9 versus 2.7% of this population have ever used AAS or SARM, respectively. In addition, image-centric social media use was positively associated with the use of dietary supplements and AAS, but not SARM. Furthermore, image-centric social media use was associated with body image, such that more of this type of social media use was related to a more negative body image. Body image, however, did not have a mediating impact on any of the relations between image-centric social media use and substance use.

Prevalence of Dietary Supplement and Pre-workout Use

In a recent Dutch study among the general population, it was shown that 10% of the people aged 21–35 years use protein shakes, and only 1% use creatine [5]. This is in sharp contrast with our data revealing that 83% use dietary supplements, mainly protein (81%) and creatine (46%). This confirms our hypothesis that the use of ‘muscle-building’ supplements is highly prevalent among young male gym users. Our findings expand on previous data showing that 44% of Portuguese gym users use supplements, mostly protein (80%) and creatine (28%) [44], whereas 36.8% of Brazilian gym users use supplements, also mainly protein (38%) and creatine (8%) [3]. Of the participants in the present study that reported using supplements, 44% reported the use of pre-workout formulas, mainly to stimulate the motivation to work out and increase energy levels. This prevalence rate is considerably higher when compared to German regular gym users (12%) [45]. The reported prevalence reported in the present study can be considered worrying, as pre-workout formulas are associated with side-effects (dizziness and nausea) and adverse events, such as heart rhythm abnormalities [46]. In addition, a recent study, targeting the Dutch market, reported that pre-workout supplements, readily available in web shops, are ‘at risk’ of containing undeclared doping compounds, mostly anabolic steroids and stimulants [47]. In this regard, it is alarming that 25% of the pre-workout users in the present study use a pre-workout supplement before every workout.

Prevalence of AAS Use

Our results show a current AAS prevalence rate of 3.6% and a life-time prevalence rate of 9% among young male gym users in the Netherlands. This is significantly higher than the 1% prevalence rate reported by an earlier study in the Netherlands, dating from 2013 [4]. However, the latter study included both male and female gym users from all ages, whereas the present work centered on young male gym users. In line with our results, a survey in the UK among 377 male and female gym users resulted in a current prevalence rate of 7%, albeit not assessed with randomized responses [6]. Simon and coworkers were the first to assess the use of doping compounds with randomized responses among German regular gym users and reported a life-time prevalence of 12.5% [48]. These results, however, may not be directly comparable to our results, as in the current study we assessed specifically the use of AAS and SARM, while Simon et al. assessed the use of doping substances in general. Further, a meta-analysis by Sagoe and coworkers indicated that the lifetime prevalence of AAS use in recreational sportspeople is 18.4% [21]. However, as the authors of the meta-analysis note, the validity of prevalence rates of the included studies is considerably limited, as most of them are not assessed by the RRT. Indeed, research with regular self-reports, so without RRT, on the use of doping substances has the potential to overestimate or underestimate prevalence rates [4, 21]. Hence, the prevalence data of the current study assessed with the RRT are a noteworthy addition to the literature.

Having a reliable idea of prevalence data of AAS use can be considered important, as the use of AAS is associated with health risks [15]. Although the acute risks of AAS use are relatively low [49], long-term effects of AAS include cardiac disease [13, 14], mood and anxiety disorders [50] and higher mortality risks [51]. Finally, it is worrisome that addiction to the use of AAS is highly prevalent [49, 52, 53], increasing the risk of health consequences in the long term.

Prevalence of SARM Use

To the best of our knowledge, this is the first study to present prevalence rates (2.7%) of SARM use. It has been suggested that SARM use has been increased recently, although factual evidence has been lacking [18]. Users of SARM mainly claim that SARM are safe; however, hardly any clinical studies support the efficacy and safety of such experimental drugs [19]. In fact, in 2017 the US Food and Drug Administration (FDA) issued a public statement that SARM were being included in supplements and that these compounds posed an increased risk for heart attack, stroke, and liver damage [18]. The prevalence rates revealed by the current study give a call to medical doctors and other health care providers. That is, they should be aware of the increased popularity of SARM use and other appearance-related drugs among regular gym users. Medical complaints due to substance use may easily be overlooked in this group of non-professional athletes, particularly as individuals using these drugs emerge as sportive based on appearance, while factually substance use contributed to their muscular physiques.

Body Dissatisfaction Among Young Male Gym Users

Based on the used body image scale, ~ 5% of the participants were not satisfied with their body. However, specified to muscularity dissatisfaction, ~ 20% of the participants were not satisfied with this body component. Previous work has revealed that body image concerns are associated with the use of dietary supplements in boys [54] and AAS in adult males [32, 34]. In line with these findings, the current study revealed a relationship between body image and the use of SARM, with a more negative body image being related to increased SARM use. However, in contrast to the prevailing literature [32, 34], the current study did not reveal a significant relationship between body image and the use of dietary supplements and AAS. In spite of the difficulty of explaining this unexpected finding, some speculations could be placed to provoke further thought on the association between body image and AAS use in men. Pope and coworkers have proposed that concerns about body image among young men, and subsequent AAS use, may be related to the emphasis on a muscular and lean physique in our current society [32]. In this regard, most research used muscle dysmorphia as a tool to assess body image, as opposed to body image in the current study. While muscle dysmorphia is a psychiatric disorder [55], body image only indicates the extent to which people were satisfied with their physical appearance. Although ~ 20% of the investigated population indicated that they were (partly) unsatisfied with their muscularity, this was not associated with the use of AAS. This may be partly explained by the population of recreational gym users included in the current study, as many studies on the relation between muscle dysmorphia and AAS use have been conducted among bodybuilders [56, 57]. In addition, the use of AAS for appearance-enhancing motives has become increasingly normalized in the Netherlands [58] and may just be a part of the gym culture, rather than the result of a negative body image. Such speculations obviously need to be corroborated by further research.

The Role of Social Media in Body Image Concerns and Substance Use

Social media exposure has been associated with body image concerns in men [24], sexual minority men [59] and adolescents boys (11–18 years) [60]. In line, our results show a negative relationship between image-centric social media use and body image in young male gym users. The current study expands on previous findings by specifically showing that image-centric social media such as Instagram and exposure to fitness-related content, is associated with body dissatisfaction, and with the use of dietary supplements and AAS. Noteworthy is that the frequency of social media use did not show this association, indicating that particularly the content of social media is related to body dissatisfaction and the use of supplements and AAS. Image-centric social media use was not associated with the use of SARM. This non-significant relationship between image-centric social media use and SARM may be explained by the low prevalence rate of SARM.

So-called influencers on social media can have an enormous amount of followers, and are already part of companies’ marketing strategies [61, 62], because of their ability to affect the behavior of their followers [28]. These findings together show the potential influence of social media in young male’s decision making in the context of fitness, nutrition and doping.

Clinical Relevance

Considering the high use of dietary supplements and pre-workout formulas, the considerable use of AAS and SARM, and the concerns regarding muscularity among young male gym users, it seems urgent to devote more attention to this population, particularly from the sports medicine community. This is particularly crucial in light of fitness currently being one of the most popular sports activities. Young male gym users are often highly motivated to reach their fitness goals, mostly an increase in muscle mass and strength in combination with a decrease in fat mass. Such goals are comparable to those of elite athletes. However, where elite athletes, a relative small population, are likely to receive high-quality advice from professionals such as strength and conditioning coaches, sports nutritionist and sports physicians, the relative large population of regular gym users has limited (free) access to such expert advice. Consequently, regular gym users mainly retrieve information on nutrition, supplements and training from the internet and social media [3]. Indeed, the present study shows that 65% use the internet and 32% use social media as their primary source of information on dietary supplements. In this regard, it is worrying that 38% of high-risk dietary supplements (e.g., pre-workout) sold online in the Netherlands contain undeclared doping compounds [47]. On top of that, it is alarming to note that regular gym users have a higher lifetime prevalence rate of AAS use than elite athletes [20]. Therefore, we call to action from national fitness associations, national anti-doping agencies and national sports medicine communities to work together to support gym users to reach their fitness goals in a healthy and sustainable manner. Furthermore, more attention should be given to the education of fitness professionals and healthcare providers about the use of compounds like dietary supplements, AAS and SARM, and associated body image concerns among gym users.

Limitations and Recommendations

This study is innovative due to its large sample size, applying the RRT to estimate image and performance-enhancing drug use, including SARM use which can be considered as novel, and relating substance use to the impact of social media, particularly image-centric social media use. Despite these strengths, it is also important to acknowledge some limitations of the current study. First, data collection took place during the Covid-19 pandemic, which may have resulted in an underestimation of the AAS and SARM prevalence rates as a result of the closure of all gyms in the Netherlands preceding this study. Future studies should thus reproduce these prevalence rates. Also in relation to the link between image and performance-enhancing drugs use and social media, replications are desirable, as social media develops constantly and fast in rather unpredictable ways. Therefore, it seems important to keep track of social media trends, including its potential undesirable side effects.

Next, the present study may suggest that image-centric social media use is associated with body image and increased use of image and performance-enhancing drugs. It is important to note, though, that the correlational design impedes drawing inferences about any causal relationships among the variables. Future studies could omit this limitation by incorporating experimental, longitudinal or ecological momentary assessment designs to establish whether there exist any causal relationships, for example to assess if image-centric social media use impacts body image, or vice versa, if body image influences image-centric social media use. The potential future detection of such causal relations could subsequently aid in understanding the relation of these phenomena with the use of performance-enhancing drugs.

Furthermore, the present research relied on self-report measures to investigate social media use. Consequently, our findings pertain to self-perceptions of social media use, which inevitably adds bias, such as contingency of awareness of one’s social media habits and social desirability. Although the social media measures were based on previous research and scales revealed acceptable to good reliability, future research should further develop and validate scales to capture social media use. Particularly, the questionnaire measuring image-centric social media use should be developed in more detail as it relates to the comparison of physical appearance with others on social media in combination with the exposure to fitness-related content on social media. This deserves more validity research. Moreover, future researchers could explore the additional value of adding standardization of the time frame of reference as a valuable asset, such as how often people use image-centric social media on a typical day in terms of minutes or hours, to decrease potential variability in the current relative scores that capture the relative extent to which people use this type of social media. This is particularly important as the present findings seem to suggest that not so much the frequency of social media use may have undesirable effects, but rather the content of social media’s images relating to creating a perfect ‘me.’

Conclusion

The larger part (83%) of young male gym users in the Netherlands use dietary supplements, mainly protein and creatine, and an estimated 9 and 3% of this population has ever used AAS or SARM, respectively. Image-centric social media use is positively associated with the use of dietary supplements and AAS among young male gym users, but this relationship was not mediated by body image.

Availability of Data and Materials

All data supporting the results of this study may be made available from the corresponding author on reasonable request.

References

  1. Gough C. Health & Fitness Clubs-Statistics & Facts;2021.

  2. Hover P, Eldert, P. van. Fitnessbranche in Nederland|2018: kerncijfers vraag- en aanbodzijde, factsheet 2019/1.;2019.

  3. Goston C. Intake of nutritional supplements among people exercising in gyms and influencing factors. Nutrition. 2010;26(6):604–11.

    Article  PubMed  Google Scholar 

  4. Stubbe JH, Chorus AM, Frank LE, de Hon O, van der Heijden PG. Prevalence of use of performance enhancing drugs by fitness centre members. Drug Test Anal. 2014;6(5):434–8.

    CAS  PubMed  Google Scholar 

  5. Wardenaar F, van den Dool R, Ceelen I, Witkamp R, Mensink M. Self-reported use and reasons among the general population for using sports nutrition products and dietary supplements. Sports (Basel). 2016;4(2):33.

    Article  Google Scholar 

  6. Mooney R, Simonato P, Ruparelia R, Roman-Urrestarazu A, Martinotti G, Corazza O. The use of supplements and performance and image enhancing drugs in fitness settings: a exploratory cross-sectional investigation in the United Kingdom. Hum Psychopharmacol. 2017;32(3).

  7. Morton RW, Murphy KT, McKellar SR, Schoenfeld BJ, Henselmans M, Helms E, et al. A systematic review, meta-analysis and meta-regression of the effect of protein supplementation on resistance training-induced gains in muscle mass and strength in healthy adults. Br J Sports Med. 2018;52(6):376–84.

    Article  PubMed  Google Scholar 

  8. Nissen SL, Sharp RL. Effect of dietary supplements on lean mass and strength gains with resistance exercise: a meta-analysis. J Appl Physiol (Bethesda Md: 1985). 2003;94(2):651–9.

    Article  CAS  Google Scholar 

  9. de Ronde W, Smit DL. Anabolic androgenic steroid abuse in young males. Endocr Connect. 2020;9(4):R102–11.

    Article  PubMed  PubMed Central  Google Scholar 

  10. Parkinson AB, Evans NA. Anabolic androgenic steroids: a survey of 500 users. Med Sci Sports Exerc. 2006;38(4):644–51.

    Article  CAS  PubMed  Google Scholar 

  11. Bhasin S, Storer TW, Berman N, Callegari C, Clevenger B, Phillips J, et al. The effects of supraphysiologic doses of testosterone on muscle size and strength in normal men. N Engl J Med. 1996;335(1):1–7.

    Article  CAS  PubMed  Google Scholar 

  12. Smit DL, de Ronde W. Outpatient clinic for users of anabolic androgenic steroids: an overview. Neth J Med. 2018;76(4):167.

    CAS  PubMed  Google Scholar 

  13. Thiblin I, Garmo H, Garle M, Holmberg L, Byberg L, Michaëlsson K, et al. Anabolic steroids and cardiovascular risk: a national population-based cohort study. Drug Alcohol Depend. 2015;152:87–92.

    Article  CAS  PubMed  Google Scholar 

  14. Baggish AL, Weiner RB, Kanayama G, Hudson JI, Lu MT, Hoffmann U, et al. Cardiovascular toxicity of illicit anabolic-androgenic steroid use. Circulation. 2017;135(21):1991–2002.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  15. Bhasin S, Hatfield DL, Hoffman JR, Kraemer WJ, Labotz M, Phillips SM, et al. Anabolic-Androgenic Steroid Use in Sports, Health, and Society. Med Sci Sports Exerc. 2021;53(8):1778–94.

    Article  PubMed  Google Scholar 

  16. Brennan BP, Kanayama G, Pope HG Jr. Performance-enhancing drugs on the web: a growing public-health issue. Am J Addict. 2013;22(2):158–61.

    Article  PubMed  PubMed Central  Google Scholar 

  17. Van Wagoner RM, Eichner A, Bhasin S, Deuster PA, Eichner D. Chemical composition and labeling of substances marketed as selective androgen receptor modulators and sold via the internet. JAMA. 2017;318(20):2004–10.

    Article  PubMed  PubMed Central  Google Scholar 

  18. Burmeister MA, Fincher TK. Recreational use of selective androgen receptor modulators. US Pharm. 2020;45(60):15–8.

    Google Scholar 

  19. Machek SB, Cardaci TD, Wilburn DT, Willoughby DS. Considerations, possible contraindications, and potential mechanisms for deleterious effect in recreational and athletic use of selective androgen receptor modulators (SARMs) in lieu of anabolic androgenic steroids: a narrative review. Steroids. 2020;164:108753.

    Article  CAS  PubMed  Google Scholar 

  20. Sagoe D, Pallesen S. Androgen abuse epidemiology. Curr Opin Endocrinol Diabetes Obes. 2018;25(3):185–94.

    Article  CAS  PubMed  Google Scholar 

  21. Sagoe D, Molde H, Andreassen CS, Torsheim T, Pallesen S. The global epidemiology of anabolic-androgenic steroid use: a meta-analysis and meta-regression analysis. Ann Epidemiol. 2014;24(5):383–98.

    Article  PubMed  Google Scholar 

  22. De Hon O, Kuipers H, van Bottenburg M. Prevalence of doping use in elite sports: a review of numbers and methods. Sports Med. 2015;45(1):57–69.

    Article  PubMed  Google Scholar 

  23. Sylow L. Three challenges of being a scientist in an age of misinformation. Wiley Online Library; 2021.

  24. Holland G, Tiggemann M. A systematic review of the impact of the use of social networking sites on body image and disordered eating outcomes. Body Image. 2016;17:100–10.

    Article  PubMed  Google Scholar 

  25. Corazza O, Simonato P, Demetrovics Z, Mooney R, van de Ven K, Roman-Urrestarazu A, et al. The emergence of Exercise Addiction, Body Dysmorphic Disorder, and other image-related psychopathological correlates in fitness settings: A cross sectional study. PLoS ONE. 2019;14(4):e0213060.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  26. Fardouly J, Vartanian LR. Social media and body image concerns: current research and future directions. Curr Opin Psychol 2016;9:1–5.

  27. Fardouly J, Diedrichs PC, Vartanian LR, Halliwell E. The mediating role of appearance comparisons in the relationship between media usage and self-objectification in young women. Psychol Women Q. 2015;39(4):447–57.

    Article  Google Scholar 

  28. Duplaga M. The use of fitness influencers' websites by young adult women: a cross-sectional study. Int J Environ Res Public Health. 2020;17(17).

  29. Pope H, Pope HG, Phillips KA, Olivardia R. The Adonis complex: the secret crisis of male body obsession: Simon and Schuster; 2000.

  30. Lavender JM, Brown TA, Murray SB. Men, muscles, and eating disorders: an overview of traditional and muscularity-oriented disordered eating. Curr Psychiatry Rep. 2017;19(6):32.

    Article  PubMed  PubMed Central  Google Scholar 

  31. Murray SB, Griffiths S, Mitchison D, Mond JM. The transition from thinness-oriented to muscularity-oriented disordered eating in adolescent males: a clinical observation. J Adolesc Health. 2017;60(3):353–5.

    Article  PubMed  Google Scholar 

  32. Pope HG, Khalsa JH, Bhasin S. Body image disorders and abuse of anabolic-androgenic steroids among men. JAMA. 2017;317(1):23–4.

    Article  PubMed  Google Scholar 

  33. Hauw D, Bilard J. Understanding appearance-enhancing drug use in sport using an enactive approach to body image. Front Psychol. 2017;8(2088).

  34. Goldman AL, Pope HG, Bhasin S. The health threat posed by the hidden epidemic of anabolic steroid use and body image disorders among young men. J Clin Endocrinol Metab. 2019;104(4):1069–74.

    Article  PubMed  Google Scholar 

  35. Fardouly J, Willburger BK, Vartanian LR. Instagram use and young women’s body image concerns and self-objectification: testing mediational pathways. New Media Soc. 2018;20(4):1380–95.

    Article  Google Scholar 

  36. Fardouly J, Vartanian LR. Negative comparisons about one’s appearance mediate the relationship between Facebook usage and body image concerns. Body Image. 2015;12:82–8.

    Article  PubMed  Google Scholar 

  37. Tylka TL, Bergeron D, Schwartz JP. Development and psychometric evaluation of the Male Body Attitudes Scale (MBAS). Body Image. 2005;2(2):161–75.

    Article  PubMed  Google Scholar 

  38. Chaudhuri A, Mukerjee R. Randomized response: theory and techniques. Abingdon-on-Thames: Routledge; 2020.

    Book  Google Scholar 

  39. Ayc KUK. Asking sensitive questions indirectly. Biometrika. 1990;77(2):436–8.

    Article  Google Scholar 

  40. Lensvelt-Mulders GJ, Hox JJ, Van der Heijden PG, Maas CJ. Meta-analysis of randomized response research: thirty-five years of validation. Sociol Methods Res. 2005;33(3):319–48.

    Article  Google Scholar 

  41. Team RC. R: a language and environment for statistical computing. Vienna: R Foundation for Statistical Computing; 2021.

    Google Scholar 

  42. Revelle W. psych: procedures for personality and psychological research. Evanston: Northwestern University; 2020.

    Google Scholar 

  43. Scheers NJ, Dayton CM. The covariate unrelated question randomized response model. In: Proceedings of the Social Statistics Section, American Statistical Association. 1982:407–10.

  44. Ruano J, Teixeira VH. Prevalence of dietary supplement use by gym members in Portugal and associated factors. J Int Soc Sports Nutr. 2020;17(1):11.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  45. Dreher M, Ehlert T, Simon P, Neuberger EWI. Boost me: prevalence and reasons for the use of stimulant containing pre workout supplements among fitness studio visitors in Mainz (Germany). Front Psychol. 2018;9:1134.

    Article  PubMed  PubMed Central  Google Scholar 

  46. Jagim AR, Camic CL, Harty PS. Common habits, adverse events, and opinions regarding pre-workout supplement use among regular consumers. Nutrients. 2019;11(4).

  47. Duiven E, van Loon LJ, Spruijt L, Koert W, de Hon OM. Undeclared doping substances are highly prevalent in commercial sports nutrition supplements. J Sports Sci Med. 2021;20(2):328–38.

    Article  PubMed  PubMed Central  Google Scholar 

  48. Simon P, Striegel H, Aust F, Dietz K, Ulrich R. Doping in fitness sports: estimated number of unreported cases and individual probability of doping. Addiction. 2006;101(11):1640–4.

    Article  PubMed  Google Scholar 

  49. Smit DL, Buijs MM, de Hon O, den Heijer M, de Ronde W. Positive and negative side effects of androgen abuse. The HAARLEM study: a one-year prospective cohort study in 100 men. Scand J Med Sci Sports. 2021;31(2):427–38.

    Article  PubMed  Google Scholar 

  50. Lindqvist Bagge AS, Rosén T, Fahlke C, Ehrnborg C, Eriksson BO, Moberg T, et al. Somatic effects of AAS abuse: a 30-years follow-up study of male former power sports athletes. J Sci Med Sport. 2017;20(9):814–8.

    Article  CAS  PubMed  Google Scholar 

  51. Horwitz H, Andersen JT, Dalhoff KP. Health consequences of androgenic anabolic steroid use. J Intern Med. 2019;285(3):333–40.

    Article  CAS  PubMed  Google Scholar 

  52. Pope HG Jr, Kanayama G, Athey A, Ryan E, Hudson JI, Baggish A. The lifetime prevalence of anabolic-androgenic steroid use and dependence in Americans: current best estimates. Am J Addict. 2014;23(4):371–7.

    Article  PubMed  Google Scholar 

  53. Bonnecaze AK, O’Connor T, Aloi JA. Characteristics and attitudes of men using anabolic androgenic steroids (AAS): a survey of 2385 men. Am J Mens Health. 2020;14(6):1557988320966536.

    Article  PubMed  PubMed Central  Google Scholar 

  54. Yager Z, O’Dea JA. Relationships between body image, nutritional supplement use, and attitudes towards doping in sport among adolescent boys: implications for prevention programs. J Int Soc Sports Nutr. 2014;11(1):13.

    Article  PubMed  PubMed Central  Google Scholar 

  55. Association AP. Diagnostic and statistical manual of mental disorders (DSM-5®). American Psychiatric Pub; 2013.

  56. Mosley PE. Bigorexia: bodybuilding and muscle dysmorphia. Eur Eat Disord Rev. 2009;17(3):191–8.

    Article  PubMed  Google Scholar 

  57. Longobardi C, Prino LE, Fabris MA, Settanni M. Muscle dysmorphia and psychopathology: findings from an Italian sample of male bodybuilders. Psychiatry Res. 2017;256:231–6.

    Article  PubMed  Google Scholar 

  58. van Leiden I, Olfers M, van Wijk A, Rijnink R, Wolsink J, van Esseveldt J. Sterk spul: Aard, omvang en ernst van de dopinghandel in Nederland. 2020. https://bureaubeke.nl/publicaties/sterk-spul/.

  59. Griffiths S, Murray SB, Krug I, McLean SA. The contribution of social media to body dissatisfaction, eating disorder symptoms, and anabolic steroid use among sexual minority men. Cyberpsychol Behav Soc Netw. 2018;21(3):149–56.

    Article  PubMed  PubMed Central  Google Scholar 

  60. Frison E, Vandenbosch L, Eggermont S. Exposure to media predicts use of dietary supplements and anabolic-androgenic steroids among Flemish adolescent boys. Eur J Pediatr. 2013;172(10):1387–92.

    Article  CAS  PubMed  Google Scholar 

  61. Freberg K, Graham K, McGaughey K, Freberg LA. Who are the social media influencers? A study of public perceptions of personality. Public Relat Rev. 2011;37(1):90–2.

    Article  Google Scholar 

  62. De Veirman M, Cauberghe V, Hudders L. Marketing through Instagram influencers: the impact of number of followers and product divergence on brand attitude. Int J Adv. 2017;36(5):798–828.

    Article  Google Scholar 

Download references

Acknowledgements

The authors thank Nick van Schijndel, Nona Kerremans, Casper van Laar en Steven Modderman for their help during data collection. Special thanks go to Tjieu Maas for his help during the design and data collection phase of the study and providing feedback on the final version of this paper.

Funding

Not applicable.

Author information

Authors and Affiliations

  1. School of Sport and Exercise, HAN University of Applied Sciences, Nijmegen, The Netherlands

    Luuk Hilkens

  2. Department of Methodology and Statistics, Utrecht University, Utrecht, The Netherlands

    Maarten Cruyff

  3. Department of Clinical Psychology, Utrecht University, Utrecht, The Netherlands

    Liesbeth Woertman

  4. Department of Social, Health, and Organizational Psychology, Utrecht University, PO Box 80140, 3508 TC, Utrecht, The Netherlands

    Jeroen Benjamins & Catharine Evers

  5. Department of Experimental Psychology, Helmholtz Institute, Utrecht University, Utrecht, The Netherlands

    Jeroen Benjamins

Authors
  1. Luuk Hilkens
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Maarten Cruyff
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Liesbeth Woertman
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Jeroen Benjamins
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Catharine Evers
    View author publications

    You can also search for this author in PubMed Google Scholar

Contributions

LH, CE and LW designed the study; JB programmed the online questionnaire, including the JavaScript for randomized response questions; LH and CE collected the data; MC advised on the design of the randomized response technique and performed statistical analyses; LH and CE wrote the initial draft; LW edited the manuscript. Results were discussed and interpreted by LH, CE, MC and LW; all authors read and approved the final manuscript.

Corresponding author

Correspondence to Catharine Evers.

Ethics declarations

Ethics Approval and Consent to Participate

This study was performed in line with the principles of the 1964 Helsinki Declaration. Approval was obtained from the Faculty Ethical Committee of Utrecht University (#20-129). Informed consent was obtained from all individual participants included in the study.

Consent for Publication

Not applicable.

Competing Interests

Luuk Hilkens, Maarten Cruyff, Liesbeth Woertman, Jeroen Benjamins and Catharine Evers declare no conflicts of interest that might be relevant to the contents of this manuscript.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary Information

Additional file 1.

Participants’ characteristics.

Additional file 2.

Randomized response.

Additional file 3.

Mediation analysis.

Additional file 4.

Scale construction with Principal Component Analysis (PCA).

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Hilkens, L., Cruyff, M., Woertman, L. et al. Social Media, Body Image and Resistance Training: Creating the Perfect ‘Me’ with Dietary Supplements, Anabolic Steroids and SARM’s. Sports Med - Open 7, 81 (2021). https://doi.org/10.1186/s40798-021-00371-1

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s40798-021-00371-1

Keywords