ABSTRACT
Background
Individual studies have indicated that creatine supplementation is generally well tolerated and not associated with clinically significant side effects. Nevertheless, anecdotal reports about side effects persist primarily from popular and social media and on the Internet.
Methods
This study evaluated side effects reported from 685 human clinical trials on creatine supplementation, worldwide adverse event report (AER) databases, and performed a social media sentiment analysis. The presence of side effects (No, Yes) in studies was evaluated using chi-squared analysis. The frequency of side effects among study participants was evaluated using a multivariate analysis of variance.
Results
A total of 13,452 participants in 652 studies ingested placebos (PLA), while 12,839 participants in 685 studies consumed creatine (Cr). Nearly all studies (95%) provided CrM at an average dose of 0.166 [0.159, 0.173] g/kg/d (about 12.5 g/d) for 64.7 [52.0, 77.3] days in studies lasting up to 14 yrs. Side effects were reported in 13.2% of studies in the PLA groups and 13.7% of studies in the Cr-supplemented groups, with no significant differences observed between the groups (p = 0.776). There was a slightly higher percentage of studies reporting gastrointestinal (GI) issues (PLA 4.3%, Cr 4.9%, p < 0.001) and muscle cramping/pain (PLA 0.9%, Cr 2.9%, p = 0.008) with Cr supplementation, but not when the total number of participants in these studies was evaluated (muscle cramping/pain: PLA 0.07%, Cr 0.52%, p = 0.085; GI issues: PLA 4.05%, Cr 5.51%, p = 0.820). Additionally, there was no significant multivariate difference among the 49 side effects evaluated (p = 0.340), no significant difference in the total frequency of side effects reported among participants (PLA 4.21%, Cr 4.60%, p = 0.828), and no significant differences in any of the other side effect evaluated that included markers of renal function and health. The percentage prevalence of side effects was small, with differences between groups generally within ± 0.5%. Analysis of 28.4 million AERs revealed that the mention of Cr was rare (0.00072%), 46.3% of CAERS had no Cr in the products listed, and 63% of AERs with Cr in the product involved the use of other types of Cr or ingestion with other supplements or drugs. The overall sentiment analysis was neutral about perceptions of Cr, although those with strong perceptions about Cr were slightly more negative.
Conclusion
Results demonstrate that Cr supplementation does not increase the prevalence or frequency of side effects when compared to participants ingesting PLA. Therefore, claims that Cr supplementation increases the risk of side effects are unfounded.
KEYWORDS: Ergogenic, dietary supplement, safety, adverse events
1. Introduction
Creatine is a naturally occurring compound that is a primary constituent of phosphocreatine (PCr) that provides cellular energy [1,2]. The daily need for creatine is about 2–4 g/d, depending on muscle mass and physical activity levels [2–4]. About half the daily need for creatine is synthesized endogenously from the amino acids arginine, glycine, and methionine [2]. The remainder is obtained primarily from meat and fish in the diet, which contains about 1–2 g/lbs [2], and/or dietary supplements containing bioavailable sources of creatine [2–4].
Low dietary availability of creatine has been associated with greater health risks. For example, analysis of the National Health and Nutrition Examination Survey (NHANES) revealed that children and adolescents with low dietary creatine intake (<1.5 g/d) were shorter and weighed less [5], had less lean body mass and bone mineral content, and had higher fat mass and body fat percentage than those consuming higher amounts of creatine in their diets [6]. Women (12 years and older) with low dietary creatine intake (<13 mg/kg/d) had a greater risk of fetal macrosomia, infections, hysterectomy, oophorectomy, and receiving hormone replacement therapy, while those consuming diets higher in creatine had lower risks of irregular menstrual periods, obstetric conditions, and pelvic pathology [7]. In older individuals (>60 yrs), lower dietary creatine intake (i.e. <0.95 g/d) has been associated with poorer cognitive function test performance [8]. Furthermore, 70% of older individuals (>65 yrs) consumed less than recommended amounts of creatine in their diets (<0.95 g/d), and low dietary creatine intake was associated with a greater risk of angina pectoris and liver conditions compared to those consuming more than 1.0 g/d of creatine [9]. Low dietary creatine intake has been associated with a greater incidence of depression in adults [10] and cancer risk [11]. These findings highlight the need to consume enough dietary creatine to promote general health throughout the lifespan.
Since meat and fish are expensive (about $4.00–$18.00 USD per pound) and high in calories (i.e. about 500 to 1,400 kcals/lbs), dietary supplementation of creatine is a cost-effective way (about $0.03 - $ 0.05 USD per gram) to ensure individuals obtain enough creatine in their diet to meet daily needs [2]. The most effective and clinically assessed source of creatine for dietary supplements is creatine monohydrate (CrM) [2]. Numerous studies indicate that CrM supplementation (e.g. 0.3 g/kg/d for 5–7 days and 0.05 to 0.15 g/kg/d thereafter) increases muscle creatine and PCr content by 20–40%, high-intensity exercise performance and promotes greater gains in strength and muscle mass during resistance exercise training [12,13]. Creatine supplementation has also been reported to reduce the risk of injury, including the severity of concussion and traumatic brain injury in animal models [4] and in patient populations (i.e. children with TBI) [14,15]. Based on this evidence, professional organizations [12,16–18], athletic governing bodies [19]; and the Office of Dietary Supplements at the National Institutes of Health [20] recognize CrM as a safe, effective, and legal nutritional strategy to enhance performance and training adaptations.
There is also emerging evidence that CrM supplementation possesses health benefits throughout the lifespan. For example, there is evidence that creatine supplementation may benefit the third trimester of pregnancy and is needed in infants [21,22], children and adolescents [23], women [24], and older populations to help maintain strength, lean mass, and cognitive function [25]. Additionally, there is evidence that CrM supplementation enhances immunity [26] and can promote mitochondrial [27], heart [28], vascular [29], and brain health [30]. Therapeutic benefits have also been reported in the management of type 2 diabetes [31], sarcopenia [32–35], osteoporosis [33,36], patients with neuromuscular diseases [37], and rehabilitation [32,38–45]. Furthermore, data show that creatine may slow the progression of some forms of cancer [46,47] and may have therapeutic benefits in helping cancer patients maintain lean mass [48] and prevent body fat accumulation during maintenance chemotherapy that includes corticosteroids [49]. Consequently, CrM has transitioned from a performance enhancement supplement to a supplement to promote general health and help manage clinical populations who may benefit from CrM supplementation [4,12,50].
To date, hundreds of clinical trials have been conducted in humans on healthy and medically managed populations with no adverse events reported and relatively few, if any, side effects noted [2,4,12,50]. For this reason, CrM is considered Generally Recognized as Safe (GRAS) by the Food and Drug Administration (FDA) in the United States [51] and is the only form of creatine approved for sale in the United States, Canada, Europe, Australia, Japan, the Republic of Korea, and China [2]. Nevertheless, anecdotally reported side effects and claims that CrM is not as effective as other “forms” of creatine continue to permeate the Internet [2,50]. A few case study reports also appeared in the literature suggesting adverse events despite other mitigating factors unrelated to creatine supplementation [52–54] which subsequently have been debunked [15,55,56]. This misinformation has created concern among athletes, parents, physicians, medical providers, the elderly, and patient populations who may benefit from CrM supplementation regarding safety. It has also prompted some legislative efforts to limit the availability of creatine in dietary supplements to populations who may benefit. The purpose of this comprehensive analysis was to 1.) determine the presence of side effects reported in clinical trials conducted on creatine supplementation; 2.) compare the frequency of side effects reported from volunteers taking creatine and placebos in these trials; 3.) analyze the prevalence of adverse event reports (AERs) attributed to creatine supplementation reported in international surveillance systems; and 4.) compare the reported side effects to claims made about creatine supplementation on the Internet. We hypothesized that this comprehensive analysis would confirm observations that creatine is well tolerated and does not increase the risk of untoward side effects.
2. Methods
2.1. Comprehensive review
We performed a comprehensive literature review on PubMed with the keywords “creatine” and “supplementation.” This review incorporated elements of the Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) guidelines [57].
2.1.1. Study summaries and categorization
After compiling a list of clinical trials conducted on creatine supplementation in humans, we evaluated each publication and developed a summary table of creatine studies (see Supplemental File 1). This searchable spreadsheet lists the study reference, year of publication, study n-size in each cohort, the design of the study, the length of study, absolute and relative doses investigated, demographic information on participants, main study findings, and any side effects reported for participants taking creatine and placebo supplements. Based on the side effects reported in these studies, we created a side effect list of 35 types of side effects mentioned in these studies. We categorized the presence of side effects in these studies (No, Yes) to compare the number of studies reporting side effects in participants taking PLA and Cr supplements. We then recorded the frequency of the side effects reported in each study for the creatine and placebo groups. A zero frequency was assigned if a side effect from the list was not mentioned in the study. We then summed the total frequency of side effects reported for each study. We also categorized each study by supplement groups (creatine, placebo), sex (combined cohort, male, female, unspecified), age (children/adolescents less than 18 yrs, young adults between 18 and 45 yrs, middle-aged adults between 45 and 65 yrs, older adults more than 65 yrs), training status as defined in the study (clinical population with physical health issues, clinical populations with cognitive issues, untrained, recreationally active, trained, athletes, military), health status (apparently healthy, clinical populations), clinical category (apparently healthy, cardiometabolic/cardiopulmonary conditions, neurological conditions, musculoskeletal conditions, renal conditions, and other), and type of creatine ingested (CrM compared to other forms including creatine HCl, Magnesium-Creatine, Creatine Citrate, Creatine Pyruvate, Creatine Methyl-Ester, Creatine H20, Creatine Nitrate, Creatyl-L-Leucine). These categories were used to determine study demographics, dosages studied, whether studies reported side effects (Yes, No), and the frequency of individual side effects reported among participants in the PLA and Cr groups. If incomplete demographic information was provided (e.g. body mass), we used an average population value as an estimate to calculate relative creatine intake.
2.2. Assessment of adverse events
The prevalence of AERs mentioning creatine reported in the United States Food and Drug Administration Center for Food Safety and Applied Nutrition (CFSAN) Adverse Event Reporting System (CAERS) [58], the Canadian Vigilance Adverse Reaction Online Database [59], the Australian Department of Health and Aged Care, Therapeutic Goods Administration [60], the European Database of Suspected Adverse Drug Reaction Reports [60], and the Side Effect Resource (SIDER) 4.1 Side Effect Resource [60] were assessed. These databases were searched for “creatine’ in dietary supplements or products following accepted protocols [61,62]. Each report was evaluated to ensure creatine was in the product mentioned by conducting an Internet search for the product name and evaluating the list of ingredients. We then categorized reports on products that contained only CrM, reports that involved consuming CrM in multi-ingredient supplements, products containing other “forms” or types of creatine, and whether creatine was consumed with other products. The total number of reports was divided by the total number of reports in the database over the 25, 50, 27, 24, and 10 years of monitoring AERs, respectively, to determine the percentage of reports in the database mentioning creatine. While AERs do not indicate causality, particularly when co-ingested with other nutrients and/or products, a low percentage of mentioning a nutrient or drug in these databases suggests safety from widespread use by the general public.
2.3. Big data text analysis
To assess the public’s perceptions about side effects related to creatine supplementation, we performed a sentiment analysis using the following procedures. The rationale was to determine whether there was congruence between the side effects reported in scientific literature, AERs monitoring systems, and perceptions on social media regarding the safety of creatine supplementation.
2.3.1. Registration
The big data text analysis was conducted using the YouTube application programming interface (API) version 3, provided by YouTube for developers, and was authorized by the Twitter (X) Academic Research program (San Francisco, USA) to access the Twitter (X) API. The analysis was based on the information provided by the DBSS Research Division (Project name: “Creatine Safety”- APP ID: 21590870).
2.3.2. Data gathering and searching
To gather social web texts, we utilized the Academic Research version of the Mozdeh software [63], which automatically anonymizes usernames (http://mozdeh.wlv.ac.uk, accessed on 15 February 2025). This program uses the YouTube and Twitter (X) APIs to extract comments and tweets, respectively [64,65]. Both YouTube and Twitter (X) are widely used social platforms that serve as key tools for information-sharing and technological communication. In this study, the query-based retrieval method used the term “creatine,” with date ranges from April 2011 to February 2025 for YouTube comments and February 2007 to July 2021 for Tweets. It should be noted that, as of April 2023, free access to Twitter (X) data was discontinued, making it unfeasible to extend the analysis in Mozdeh to the present day
For YouTube, comments were extracted from videos containing the term “creatine” in the title or description. The extraction process involved several steps: only the first comment per user was included, all user identifiers were anonymized, duplicate posts with identical text were filtered out, and only comments in English were collected. Finally, the comments were grouped by month for subsequent analysis. For Twitter (X), we specified one million as the number of sets of 500 (pages) to get all tweets. A pilot testing was performed with the string “creatine AND (horrible OR worst OR sucks OR bad OR disappointing OR adverse OR side effects) -is retweet -happy -exciting -excited -favorite -fav -amazing -lovely -incredible” to avoid flaws. Finally, after hiding duplicates, we explored and analyzed the downloaded texts in Mozdeh.
2.3.3. Sentiment analysis
We conducted a supervised machine learning analysis called sentiment analysis to detect and classify subjective content. This has been shown to be an effective strategy for social web text analytics [66] with large and variate applications [67,68]. The Mozdeh software uses the SentiStrength algorithm to estimate the strength of positive and negative sentiment in text using a manually curated list of over 3000 terms and term stems (SentiStrength’s lexicon) and a set of extra rules [63]. This allocates each post positive/negative scores between 1 (no sentiment) and 5 (very strong sentiment). Negative values represent negative sentiment. The Mozdeh software calculates the average positive and negative SentiStrength for all posts matching the query, including 95% confidence intervals. The accuracy of this method has been published previously [69]. A comparative analysis of association word mining was conducted to identify keywords that were statistically associated with comments containing “monohydrate” or “HCl” on YouTube.
2.3.4. Ethics
According to the Mozdeh developers, informed consent for individual projects using public data is unnecessary since authors of public texts do not have the right to privacy for these texts [70]; however, we have fully anonymized users to avoid drawing attention to them.
2.4. Statistical analysis
Statistical analysis was performed using Statistical Package for the Social Sciences (SPSS) software (International Business Machines (IBM) Corp. Released 2023. IBM SPSS Statistics for Windows, Version 29.0.2.0 Armonk, NY: IBM Corp.) and the R statistical computing environment [71]. Demographic information on participants, duration of the study, and absolute and relative dosages studied were analyzed using one-way analysis of variance (ANOVA) with Bonferroni and Welch tests of equality of means since the sample sizes of some categories differed. Using the WRS2 package [72], robust ANOVA or Yuen – Dixon tests with 20% trimmed means were also conducted to analyze the categories with unequal sample sizes. The prevalence of side effects reported in studies (categorized as yes or no) was evaluated using split file means by each category to obtain the number of studies reporting side effects. The percentage prevalence was calculated by dividing the number of studies reporting side effects by the total number of studies. We then analyzed differences in the number of studies reporting side effects for the placebo (PLA) and creatine (Cr) supplemented groups using crosstabs chi-squared tests, likelihood ratios, Fisher Exact tests, and odds ratios for supplementation, not present, and present with corresponding 95% confidence intervals presented as mean [lower bound, upper bound]. The frequency of side effects was then analyzed by categories using a General Linear Model multivariate on all side effects evaluated and univariate analysis on each side effect evaluated. Prevalence rates were determined by dividing the number of side effects reported by the total number of participants for the placebo and creatine-supplemented groups and multiplying times 100. The prevalence difference between the supplement groups was determined by subtracting the prevalence rate observed in the creatine group from the placebo group. Alpha levels and effect sizes (eta squared) are reported for each side effect. Data were considered significantly different when the probability of Type I error was 0.05 or less. However, all alpha levels are reported along with the percent prevalence of each side effect to the total number of studies conducted (prevalence data) or total number of participants studied in PLA and Cr groups. Partial Eta squared (ηp2) tendencies were used to assess effect size where values of 0.01 represented a small effect, 0.06 represented a medium effect, and 0.14 represented a large effect size [73].
3. Results
3.1. Study selection
The results from the search algorithm were compared to an existing comprehensive database previously developed by the Principal Investigator yielding 3,445 unique references. Of these, studies were omitted that did not involve creatine supplementation (n = 539), investigated animal models (n = 1,186), were literature reviews (n = 496), meta-analyses (n = 98), patents (n = 6), or other publications (n = 6) not referenced. The remaining 1,113 articles were reviewed with 685 clinical trials on humans identified and analyzed for reported adverse events and side effects. Figure 1 shows the PRISMA flowchart.
Figure 1.
Preferred reporting items for systematic reviews and meta-analyses (PRISMA) diagram.
3.2. Study demographics
Table 1 presents the demographic, study duration, and dosage-related information for the 652 clinical trials with a PLA group and 685 studies with Cr supplementation groups. Overall, the average study had 19.7 [17.4, 21.9] participants who were 30.1 [29.3, 30.9] years, 75.5 [74.9, 76.2] kg body mass, ingested the supplements for 64.7 [52.0, 77.3] days, and consumed an average of 0.166 [0.159, 0.173] g/kg/d of supplements or 480 [388, 623] g total of supplements (about 12.5 g/d). This included studies with sample sizes up to 874 participants and participants up to 77 years old in studies lasting up to 14 years. No significant differences were observed between those taking PLA and Cr supplements among demographic-related variables.
Table 1.
Creatine study demographics by supplementation groups.
Descriptives | 95% Confidence Interval for Mean |
Statistics |
Welch Test | ||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
Studies (n) | Mean | SD | SE | Lower Bound | Upper Bound | Post-hoc | p-level | Eta-squared | p-level | ||
Sample Size | Placebo a | 652 | 20.6 | 45.2 | 1.8 | 17.2 | 24.1 | 0.407 | 0.001 | 0.409 | |
Creatine b | 685 | 18.7 | 37.8 | 1.4 | 15.9 | 21.6 | |||||
Total | 1337 | 19.7 | 41.6 | 1.1 | 17.4 | 21.9 | |||||
Age (years) | Placebo a | 652 | 30.3 | 14.9 | 0.6 | 29.1 | 31.4 | 0.620 | 0.000 | 0.620 | |
Creatine b | 685 | 29.9 | 14.9 | 0.6 | 28.8 | 31.0 | |||||
Total | 1337 | 30.1 | 14.9 | 0.4 | 29.3 | 30.9 | |||||
Weight (kg) | Placebo a | 652 | 75.5 | 11.0 | 0.4 | 74.7 | 76.4 | 0.942 | 0.000 | 0.942 | |
Creatine b | 685 | 75.5 | 12.8 | 0.5 | 74.5 | 76.5 | |||||
Total | 1337 | 75.5 | 12.0 | 0.3 | 74.9 | 76.2 | |||||
Study Duration (d) | Placebo a | 652 | 52.6 | 140.9 | 5.5 | 41.8 | 63.4 | 0.067 | 0.003 | 0.063 | |
Creatine b | 685 | 76.2 | 299.0 | 11.4 | 53.8 | 98.6 | |||||
Total | 1337 | 64.7 | 235.8 | 6.4 | 52.0 | 77.3 | |||||
Loading Dose Duration (d) | Placebo a | 652 | 4.0 | 5.1 | 0.2 | 3.6 | 4.4 | 0.626 | 0.000 | 0.625 | |
Creatine b | 685 | 4.2 | 6.1 | 0.2 | 3.7 | 4.6 | |||||
Total | 1337 | 4.1 | 5.6 | 0.2 | 3.8 | 4.4 | |||||
Non-Loading Dose Duration (d) | Placebo a | 652 | 46.2 | 138.0 | 5.4 | 35.6 | 56.8 | 0.067 | 0.003 | 0.063 | |
Creatine b | 685 | 69.2 | 291.8 | 11.1 | 47.3 | 91.1 | |||||
Total | 1337 | 58.0 | 230.2 | 6.3 | 45.6 | 70.3 | |||||
Loading Dose (g/kg/d) | Placebo a | 652 | 0.169 | 0.173 | 0.007 | 0.156 | 0.182 | 0.692 | 0.000 | 0.693 | |
Creatine b | 685 | 0.165 | 0.150 | 0.006 | 0.154 | 0.177 | |||||
Total | 1337 | 0.167 | 0.161 | 0.004 | 0.158 | 0.176 | |||||
Loading Dose (g) | Placebo a | 652 | 73.9 | 74.4 | 2.9 | 68.2 | 79.6 | 0.517 | 0.000 | 0.513 | |
Creatine b | 685 | 77.3 | 111.4 | 4.3 | 68.9 | 85.6 | |||||
Total | 1337 | 75.6 | 95.1 | 2.6 | 70.5 | 80.7 | |||||
Non-Loading Dose (g/kg/d) | Placebo a | 652 | 0.055 | 0.081 | 0.003 | 0.049 | 0.061 | 0.656 | 0.000 | 0.653 | |
Creatine b | 685 | 0.058 | 0.113 | 0.004 | 0.049 | 0.066 | |||||
Total | 1337 | 0.056 | 0.098 | 0.003 | 0.051 | 0.062 | |||||
Non-Loading Dose (g) | Placebo a | 652 | 297 | 1137 | 45 | 210 | 384 | 0.142 | 0.002 | 0.135 | |
Creatine b | 685 | 509 | 3534 | 135 | 244 | 775 | |||||
Total | 1337 | 406 | 2652 | 73 | 263 | 548 | |||||
Total Daily Dose (g/kg/d) | Placebo a | 652 | 0.166 | 0.124 | 0.005 | 0.157 | 0.176 | 0.896 | 0.000 | 0.896 | |
Creatine b | 685 | 0.165 | 0.134 | 0.005 | 0.155 | 0.175 | |||||
Total | 1337 | 0.166 | 0.129 | 0.004 | 0.159 | 0.173 | |||||
Absolute Total Dose (g) | Placebo a | 652 | 370 | 1129 | 44 | 283 | 457 | 0.138 | 0.002 | 0.130 | |
Creatine b | 685 | 585 | 3531 | 135 | 320 | 850 | |||||
Total | 1337 | 480 | 2648 | 72 | 338 | 623 |
Supplemental Tables S1 – S6 show demographic data categorized by sex, age, training status, clinical population category, health status, and type of creatine evaluated, respectively. This analysis revealed that clinical populations were typically evaluated over longer supplementation periods with higher doses than healthy counterparts. Additionally, relative creatine doses were higher in children and adolescents (0.280 [0.184, 0.375] g/kg/d) and taken for longer periods of time (324.1 [23.6, 624.5] d) than older cohorts. Nearly all studies (648/685 or 95%) were conducted using CrM as the source of creatine.
3.3. Prevalence of studies reporting side effects
Table 2 presents the analysis of the prevalence of studies reporting side effects or not. In the placebo group, 86/652 studies (13.2%) reported side effects, while 94/685 (13.7%) reported side effects in creatine-supplemented (p = 0.776). The prevalence of studies reporting gastrointestinal (GI) issues (PLA 4.3%, Cr 4.9%, p < 0.001) and muscle cramping/pain (PLA 0.9%, Cr 2.9%, p = 0.008) were significantly higher in the Cr group. However, the difference in the prevalence of studies reporting side effects was small and differences between groups were very small. No other significant differences were observed in the number of studies reporting the remaining 33 side effects between the placebo and creatine-supplemented groups, with the difference in prevalence reported typically ±0.4%. This includes the number of studies reporting vertigo, hypertension, headache, dizziness, lightheadedness, nausea, diarrhea, impaired concentration, sleep disturbances, poor appetite, fatigue, excessive sweating, edema, palpitations, thromboembolic events, kidney-related issues, elevated liver enzymes, pregnancy, and other complaints. This also includes one large long-term clinical trial conducted on Parkinson’s patients, providing 10 g/d of CrM for up to 8 years [74] that reported the incidence of neoplasm, nerve and muscle complaints, nervous system issues, infections and infestations, renal/urinary issues, psychiatric disorders, respiratory complaints, vascular issues, bone and joint problems, metabolism and nutrition issues, skin complications, cardiac conditions, eye disorders, and reproductive issues.
Table 2.
Prevalence of studies reporting side effects from ingesting the placebo and creatine containing supplements.
Studies Reporting Side Effects |
Chi-Square Tests |
Risk Estimate |
|||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Placebo |
Creatine |
Prevelence | Fisher Exact Test p-level | Odds Ratio for Supplement | Odds Ratio for Not Present | Odds Ratio for Present | |||||||||||||||
Not Present | Present | Prevelance | Not Present | Present | Present | Difference |
|
Likelihood Ratio | 95% Confidence Interval |
95% Confidence Interval |
95% Confidence Interval |
||||||||||
Variable | (n) | (n) | (%) | (n) | (n) | % | % | Value | p level | p-level | Lower | Upper | Lower | Upper | Lower | Upper | |||||
Studies with Participants Reporting Side Effects | 566 | 86 | 13.19 | 591 | 94 | 13.72 | 0.53 | 0.08 | 0.776 | 0.776 | 0.776 | 0.96 | 0.70 | 1.31 | 1.01 | 0.97 | 1.05 | 1.00 | 0.96 | 1.06 | |
Gastrointestinal/Abdominal | 624 | 28 | 4.29 | 622 | 63 | 9.20 | 4.90 | 12.66 | <.001 | 13.003 | <.001 | <.001 | 2.26 | 1.43 | 3.57 | 1.05 | 1.02 | 1.09 | 0.47 | 0.30 | 0.72 |
Vertigo | 652 | 0 | 0.00 | 682 | 3 | 0.44 | 0.44 | 2.86 | 0.091 | 4.019 | 0.045 | 0.250 | 1.00 | 1.00 | 1.01 | ||||||
Hypertension | 652 | 0 | 0.00 | 682 | 0 | 0.00 | 0.00 | ||||||||||||||
Headache | 647 | 5 | 0.77 | 672 | 13 | 1.90 | 1.13 | 3.22 | 0.073 | 3.342 | 0.068 | 0.096 | 2.50 | 0.89 | 7.06 | 1.01 | 1.00 | 1.02 | 0.40 | 0.15 | 1.13 |
Dizziness | 648 | 4 | 0.61 | 680 | 5 | 0.73 | 0.12 | 0.07 | 0.795 | 0.068 | 0.794 | 0.794 | 1.19 | 0.32 | 4.46 | 1.00 | 0.99 | 1.01 | 0.84 | 0.23 | 3.12 |
Light Headed | 651 | 1 | 0.15 | 683 | 2 | 0.29 | 0.14 | 0.29 | 0.592 | 0.293 | 0.588 | 1.000 | 2.00 | 0.18 | 22.17 | 1.00 | 1.00 | 1.01 | 0.50 | 0.05 | 5.50 |
Nausea | 644 | 8 | 1.23 | 667 | 18 | 2.63 | 1.40 | 3.44 | 0.064 | 3.536 | 0.060 | 0.075 | 2.17 | 0.94 | 5.03 | 1.01 | 1.00 | 1.03 | 0.47 | 0.20 | 1.07 |
Diarrhea | 646 | 6 | 0.92 | 677 | 8 | 1.17 | 0.25 | 0.20 | 0.657 | 0.199 | 0.656 | 0.790 | 1.27 | 0.44 | 3.69 | 1.00 | 0.99 | 1.01 | 0.79 | 0.28 | 2.26 |
Impaired Concentration | 650 | 2 | 0.31 | 684 | 1 | 0.15 | −0.16 | 0.39 | 0.535 | 0.392 | 0.531 | 0.616 | 0.48 | 0.04 | 5.25 | 1.00 | 0.99 | 1.00 | 2.10 | 0.19 | 23.12 |
Muscle Cramping/Pain | 646 | 6 | 0.92 | 665 | 20 | 2.92 | 2.00 | 7.00 | 0.008 | 7.414 | 0.006 | 0.009 | 3.24 | 1.29 | 8.12 | 1.02 | 1.01 | 1.04 | 0.32 | 0.13 | 0.78 |
Sleep Disturbances | 650 | 2 | 0.31 | 681 | 4 | 0.58 | 0.28 | 0.58 | 0.448 | 0.587 | 0.444 | 0.687 | 1.91 | 0.35 | 10.46 | 1.00 | 1.00 | 1.01 | 0.53 | 0.10 | 2.86 |
Poor Appetite | 650 | 2 | 0.31 | 682 | 3 | 0.44 | 0.13 | 0.15 | 0.694 | 0.156 | 0.693 | 1.000 | 1.43 | 0.24 | 8.58 | 1.00 | 1.00 | 1.01 | 0.70 | 0.12 | 4.18 |
Fatigue | 651 | 1 | 0.15 | 681 | 4 | 0.58 | 0.43 | 1.66 | 0.197 | 1.789 | 0.181 | 0.375 | 3.82 | 0.43 | 34.30 | 1.00 | 1.00 | 1.01 | 0.26 | 0.03 | 2.34 |
Excessive Sweating | 651 | 1 | 0.15 | 683 | 2 | 0.29 | 0.14 | 0.29 | 0.592 | 0.293 | 0.588 | 1.000 | 1.91 | 0.17 | 21.07 | 1.00 | 1.00 | 1.01 | 0.53 | 0.05 | 5.78 |
Edema | 651 | 1 | 0.15 | 682 | 5 | 0.73 | 0.57 | 2.49 | 0.115 | 2.728 | 0.099 | 0.219 | 4.79 | 0.56 | 41.08 | 1.01 | 1.00 | 1.01 | 0.21 | 0.03 | 1.79 |
Palpitations | 652 | 0 | 0.00 | 684 | 1 | 0.15 | 0.15 | 0.95 | 0.329 | 1.338 | 0.247 | 1.000 | 1.00 | 1.00 | 1.00 | ||||||
Thromboembolic Events | 651 | 1 | 0.15 | 683 | 2 | 0.29 | 0.14 | 0.29 | 0.592 | 0.293 | 0.588 | 1.000 | 1.91 | 0.17 | 21.07 | 1.00 | 1.00 | 1.01 | 0.53 | 0.05 | 5.78 |
Kidney Related Issues | 650 | 2 | 0.31 | 682 | 3 | 0.44 | 0.13 | 0.15 | 0.694 | 0.156 | 0.693 | 1.000 | 1.43 | 0.24 | 8.58 | 1.00 | 1.00 | 1.01 | 0.70 | 0.12 | 4.18 |
Elevated Liver Enzymes | 651 | 1 | 0.15 | 684 | 1 | 0.15 | −0.01 | 0.00 | 0.972 | 0.001 | 0.972 | 1.000 | 0.95 | 0.06 | 15.25 | 1.00 | 1.00 | 1.00 | 1.05 | 0.07 | 16.76 |
Neoplasm † | 651 | 1 | 0.15 | 684 | 1 | 0.15 | −0.01 | 0.00 | 0.972 | 0.001 | 0.972 | 1.000 | 0.95 | 0.06 | 15.25 | 1.00 | 1.00 | 1.00 | 1.05 | 0.07 | 16.76 |
Nerve & Muscle Complaints † | 651 | 1 | 0.15 | 684 | 1 | 0.15 | −0.01 | 0.00 | 0.972 | 0.001 | 0.972 | 1.000 | 0.95 | 0.06 | 15.25 | 1.00 | 1.00 | 1.00 | 1.05 | 0.07 | 16.76 |
Nervous System Issues † | 651 | 1 | 0.15 | 684 | 1 | 0.15 | −0.01 | 0.00 | 0.972 | 0.001 | 0.972 | 1.000 | 0.95 | 0.06 | 15.25 | 1.00 | 1.00 | 1.00 | 1.05 | 0.07 | 16.76 |
Infections and Infestations † | 651 | 1 | 0.15 | 684 | 1 | 0.15 | −0.01 | 0.00 | 0.972 | 0.001 | 0.972 | 1.000 | 0.95 | 0.06 | 15.25 | 1.00 | 1.00 | 1.00 | 1.05 | 0.07 | 16.76 |
Renal/Urinary Issues † | 651 | 1 | 0.15 | 684 | 1 | 0.15 | −0.01 | 0.00 | 0.972 | 0.001 | 0.972 | 1.000 | 0.95 | 0.06 | 15.25 | 1.00 | 1.00 | 1.00 | 1.05 | 0.07 | 16.76 |
Psychiatric Disorders † | 651 | 1 | 0.15 | 684 | 1 | 0.15 | −0.01 | 0.00 | 0.972 | 0.001 | 0.972 | 1.000 | 0.95 | 0.06 | 15.25 | 1.00 | 1.00 | 1.00 | 1.05 | 0.07 | 16.76 |
Respiratory † | 650 | 2 | 0.31 | 683 | 2 | 0.29 | −0.01 | 0.00 | 0.961 | 0.002 | 0.961 | 1.000 | 0.95 | 0.13 | 6.78 | 1.00 | 0.99 | 1.01 | 1.05 | 0.15 | 7.44 |
Vascular | 650 | 2 | 0.31 | 684 | 1 | 0.15 | −0.16 | 0.39 | 0.535 | 0.392 | 0.531 | 0.616 | 0.48 | 0.04 | 5.25 | 1.00 | 0.99 | 1.00 | 2.10 | 0.19 | 23.12 |
Bone Joint † | 651 | 1 | 0.15 | 684 | 1 | 0.15 | −0.01 | 0.00 | 0.972 | 0.001 | 0.972 | 1.000 | 0.95 | 0.06 | 15.25 | 1.00 | 1.00 | 1.00 | 1.05 | 0.07 | 16.76 |
Metabolism and Nutrition † | 651 | 1 | 0.15 | 684 | 1 | 0.15 | −0.01 | 0.00 | 0.972 | 0.001 | 0.972 | 1.000 | 0.95 | 0.06 | 15.25 | 1.00 | 1.00 | 1.00 | 1.05 | 0.07 | 16.76 |
Skin † | 651 | 1 | 0.15 | 684 | 1 | 0.15 | −0.01 | 0.00 | 0.972 | 0.001 | 0.972 | 1.000 | 0.95 | 0.06 | 15.25 | 1.00 | 1.00 | 1.00 | 1.05 | 0.07 | 16.76 |
Cardiac † | 650 | 2 | 0.31 | 684 | 1 | 0.15 | −0.16 | 0.39 | 0.535 | 0.392 | 0.531 | 0.616 | 0.48 | 0.04 | 5.25 | 1.00 | 0.99 | 1.00 | 2.10 | 0.19 | 23.12 |
Eye Disorders † | 651 | 1 | 0.15 | 684 | 1 | 0.15 | −0.01 | 0.00 | 0.972 | 0.001 | 0.972 | 1.000 | 0.95 | 0.06 | 15.25 | 1.00 | 1.00 | 1.00 | 1.05 | 0.07 | 16.76 |
Reproductive † | 651 | 1 | 0.15 | 684 | 1 | 0.15 | −0.01 | 0.00 | 0.972 | 0.001 | 0.972 | 1.000 | 0.95 | 0.06 | 15.25 | 1.00 | 1.00 | 1.00 | 1.05 | 0.07 | 16.76 |
Pregnancy | 652 | 0 | 0.00 | 684 | 1 | 0.15 | 0.15 | 0.95 | 0.329 | 1.338 | 0.247 | 1.000 | 1.001 | 0.999 | 1.004 | ||||||
Other | 647 | 5 | 0.77 | 679 | 6 | 0.88 | 0.11 | 0.05 | 0.825 | 0.049 | 0.825 | 1.000 | 1.14 | 0.35 | 3.77 | 1.00 | 0.99 | 1.01 | 0.88 | 0.27 | 2.86 |
Data are means and standard deviations of the number of clinical trials reporting side effects. † = Only reported in one clinical trial on 1,741 Parkinson’s patients consuming 10 g/d of a placebo or creatine monohydrate for up to 8-years (Kieburtz et al. 2015).
3.4. Frequency of side effects reported
Table 3 shows the frequency of side effects reported in creatine supplementation studies. This analysis provides a more detailed assessment of whether creatine supplementation increased the incidence of side effects among participants taking creatine supplements compared to those consuming placebos. Multivariate analysis of all side effects evaluated revealed no significant differences in the frequency of side effects reported between participants taking placebo and creatine supplements (p = 0.340, np 2 = 0.023). Univariate analysis revealed that 13,452 participants ingested placebos, while 12,839 consumed creatine supplements (p = 0.411). Of these, 4.21% of participants ingesting placebos reported having a side effect, while 4.60% of participants consuming creatine supplements reported side effects (p = 0.828). Most of the reported side effects were reported from one large clinical trial that involved high-dose creatine supplementation for up to 8 years (i.e. 437/566 or 77.2% PLA, 478/591 or 80.9% Cr) [74]. When the number of participants reporting side effects was considered from all studies, no significant differences were observed in the frequency of GI issues (PLA 4.05%, Cr 5.51%, p = 0.820), muscle cramping/pain (PLA 0.07%, Cr 0.52%, p = 0.085), or any other of the 33 side effects evaluated, including clinical markers of health and renal function. Similarly, the percentage prevalence in the frequency of reported side effects was very small between those taking creatine and placebos overall, as well as when categorized by sex (Table S7), age (Table S8), and comparing healthy and clinical populations (Table S9). Although some significant differences were noted among sex and age categories, the percent differences in the frequency of side effects between participants consuming placebos and creatine were, in most cases, less than ±0.5% and, in some cases, higher in those consuming placebos. No significant differences were observed when comparing the frequency of side effects among healthy and clinical populations, even though clinical populations generally consumed a greater amount of creatine for longer periods of time.
Table 3.
Frequency of side effects reported in creatine studies for participants consuming placebos and creatine containing supplements.
All Participants |
Prevalence | Statistics |
|||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Placebo Supplements |
Creatine Supplements |
Difference | Supplement |
||||||||||
Variable | Studies (n) | Number | Mean | SD | Prevalence (%) | Studies (n) | Number | Mean | SD | Prevalence (%) | % | p level | Eta 2 |
Sample Size | 652 | 13,452 | 20.63 | 45.22 | 685 | 12,839 | 18.74 | 37.84 | 0.411 | 0.001 | |||
Participants Reporting Side Effects | 652 | 566 | 0.870 | 0.34 | 4.21 | 685 | 591 | 0.860 | 0.34 | 4.60 | 0.39 | 0.828 | 0.000 |
Gastrointestinal/Abdominal | 652 | 545 | 0.836 | 15.98 | 4.05 | 685 | 708 | 1.033 | 15.98 | 5.51 | 1.46 | 0.820 | 0.000 |
Vertigo | 652 | 0 | 0.000 | 0.00 | 0.00 | 685 | 4 | 0.010 | 0.09 | 0.03 | 0.03 | 0.111 | 0.002 |
Hypertension | 652 | 0 | 0.000 | 0.00 | 0.00 | 685 | 0 | 0.000 | 0.00 | 0.00 | 0.00 | . | . |
Headache | 652 | 22 | 0.034 | 0.57 | 0.16 | 685 | 15 | 0.022 | 0.28 | 0.12 | −0.05 | 0.635 | 0.000 |
Dizziness | 652 | 23 | 0.040 | 0.72 | 0.17 | 685 | 17 | 0.020 | 0.43 | 0.13 | −0.04 | 0.747 | 0.000 |
Light Headed | 652 | 0 | 0.000 | 0.00 | 0.00 | 685 | 1 | 0.000 | 0.04 | 0.01 | 0.01 | 0.329 | 0.001 |
Nausea | 652 | 51 | 0.078 | 0.91 | 0.38 | 685 | 54 | 0.079 | 0.89 | 0.42 | 0.04 | 0.986 | 0.000 |
Diarrhea | 652 | 28 | 0.043 | 0.84 | 0.21 | 685 | 51 | 0.075 | 1.32 | 0.40 | 0.19 | 0.605 | 0.000 |
Impaired Concentration | 652 | 50 | 0.080 | 1.84 | 0.37 | 684 | 32 | 0.050 | 1.22 | 0.25 | −0.12 | 0.726 | 0.000 |
Muscle Cramping/Pain | 652 | 9 | 0.014 | 0.15 | 0.07 | 685 | 67 | 0.097 | 1.23 | 0.52 | 0.45 | 0.085 | 0.002 |
Sleep Disturbances † | 652 | 0 | 0.000 | 0.00 | 0.00 | 685 | 2 | 0.000 | 0.05 | 0.02 | 0.02 | 0.167 | 0.001 |
Poor Appetite † | 652 | 2 | 0.004 | 0.08 | 0.02 | 685 | 3 | 0.004 | 0.08 | 0.02 | 0.00 | 0.962 | 0.000 |
Fatigue | 652 | 41 | 0.060 | 1.61 | 0.30 | 685 | 35 | 0.050 | 1.23 | 0.27 | −0.03 | 0.881 | 0.000 |
Excessive Sweating | 652 | 2 | 0.000 | 0.08 | 0.01 | 685 | 3 | 0.000 | 0.09 | 0.02 | 0.01 | 0.769 | 0.000 |
Increased Urination | 652 | 5 | 0.010 | 0.20 | 0.04 | 685 | 5 | 0.010 | 0.19 | 0.04 | 0.00 | 0.973 | 0.000 |
Edema | 652 | 2 | 0.000 | 0.08 | 0.01 | 685 | 13 | 0.020 | 0.20 | 0.10 | 0.09 | 0.055 | 0.003 |
Palpitations | 652 | 0 | 0.000 | 0.00 | 0.00 | 685 | 12 | 0.020 | 0.32 | 0.09 | 0.09 | 0.167 | 0.001 |
Thromboembolic Events | 652 | 2 | 0.000 | 0.08 | 0.01 | 685 | 3 | 0.000 | 0.09 | 0.02 | 0.01 | 0.769 | 0.000 |
High Urine Albumin Creatinine Ratio | 652 | 0 | 0.000 | 0.00 | 0.00 | 685 | 2 | 0.000 | 0.08 | 0.02 | 0.02 | 0.329 | 0.001 |
High Urine Microalbumin | 652 | 6 | 0.010 | 0.24 | 0.04 | 685 | 3 | 0.000 | 0.12 | 0.02 | −0.02 | 0.632 | 0.000 |
Hemoglobin in Urine | 652 | 8 | 0.010 | 0.31 | 0.06 | 685 | 3 | 0.000 | 0.12 | 0.02 | −0.04 | 0.538 | 0.000 |
Low Creatinine Clearance | 652 | 2 | 0.000 | 0.08 | 0.01 | 685 | 1 | 0.000 | 0.04 | 0.01 | −0.01 | 0.632 | 0.000 |
Protein in urine | 652 | 6 | 0.010 | 0.24 | 0.04 | 685 | 0 | 0.000 | 0.00 | 0.00 | −0.04 | 0.306 | 0.001 |
High Urine Creatine | 652 | 0 | 0.000 | 0.00 | 0.00 | 685 | 6 | 0.010 | 0.23 | 0.05 | 0.05 | 0.329 | 0.001 |
Low Estimated Glomerular Filtration Rate | 652 | 0 | 0.000 | 0.00 | 0.00 | 685 | 4 | 0.010 | 0.15 | 0.03 | 0.03 | 0.329 | 0.001 |
Low Urine Creatinine | 652 | 1 | 0.000 | 0.04 | 0.01 | 685 | 0 | 0.000 | 0.00 | 0.00 | −0.01 | 0.306 | 0.001 |
Kidney Infection | 652 | 0 | 0.000 | 0.00 | 0.00 | 685 | 2 | 0.000 | 0.05 | 0.02 | 0.02 | 0.167 | 0.001 |
Kidney Cysts | 652 | 1 | 0.000 | 0.04 | 0.01 | 685 | 0 | 0.000 | 0.00 | 0.00 | −0.01 | 0.306 | 0.001 |
High Liver Enzymes | 652 | 3 | 0.000 | 0.12 | 0.02 | 685 | 6 | 0.010 | 0.23 | 0.05 | 0.02 | 0.936 | 0.000 |
Neoplasm † | 652 | 142 | 0.220 | 5.56 | 1.06 | 685 | 133 | 0.190 | 5.08 | 1.04 | −0.02 | 0.678 | 0.000 |
Bilirubin in Urine | 652 | 0 | 0.000 | 0.00 | 0.00 | 685 | 1 | 0.000 | 0.04 | 0.01 | 0.01 | 0.329 | 0.001 |
Low Albumin | 652 | 2 | 0.000 | 0.08 | 0.01 | 685 | 1 | 0.000 | 0.04 | 0.01 | −0.01 | 0.632 | 0.000 |
Nerve & Muscle Complaints † | 652 | 437 | 0.670 | 17.11 | 3.25 | 685 | 478 | 0.700 | 18.26 | 3.72 | 0.47 | 0.976 | 0.000 |
Nervous System Issues † | 652 | 409 | 0.630 | 16.02 | 3.04 | 685 | 458 | 0.670 | 17.50 | 3.56 | 0.52 | 0.963 | 0.000 |
Infections and Infestations † | 652 | 368 | 0.560 | 14.41 | 2.74 | 685 | 353 | 0.520 | 13.49 | 2.75 | 0.01 | 0.950 | 0.000 |
Renal/Urinary Issues † | 652 | 368 | 0.560 | 14.41 | 2.74 | 685 | 321 | 0.470 | 12.27 | 2.50 | −0.24 | 0.897 | 0.000 |
Psychiatric Disorders † | 652 | 322 | 0.490 | 12.61 | 2.39 | 685 | 335 | 0.490 | 12.80 | 2.61 | 0.21 | 0.995 | 0.000 |
Respiratory † | 652 | 325 | 0.500 | 11.97 | 2.42 | 685 | 373 | 0.540 | 12.77 | 2.90 | 0.49 | 0.945 | 0.000 |
Vascular | 652 | 295 | 0.450 | 11.51 | 2.19 | 685 | 254 | 0.370 | 9.71 | 1.98 | −0.22 | 0.889 | 0.000 |
Bone Joint † | 652 | 233 | 0.360 | 9.13 | 1.73 | 685 | 215 | 0.310 | 8.22 | 1.67 | −0.06 | 0.928 | 0.000 |
Metabolism and Nutrition † | 652 | 228 | 0.350 | 8.93 | 1.69 | 685 | 233 | 0.340 | 8.90 | 1.81 | 0.12 | 0.985 | 0.000 |
Skin † | 652 | 222 | 0.340 | 8.69 | 1.65 | 685 | 226 | 0.330 | 8.64 | 1.76 | 0.11 | 0.983 | 0.000 |
Cardiac † | 652 | 189 | 0.290 | 7.40 | 1.40 | 685 | 172 | 0.250 | 6.57 | 1.34 | −0.07 | 0.920 | 0.000 |
Eye Disorders † | 652 | 155 | 0.240 | 6.07 | 1.15 | 685 | 162 | 0.240 | 6.19 | 1.26 | 0.11 | 0.998 | 0.000 |
Reproductive † | 652 | 143 | 0.220 | 5.60 | 1.06 | 685 | 123 | 0.180 | 4.70 | 0.96 | −0.11 | 0.889 | 0.000 |
Pregnancy | 652 | 0 | 0.000 | 0.00 | 0.00 | 685 | 3 | 0.000 | 0.12 | 0.02 | 0.02 | 0.329 | 0.001 |
Other | 652 | 29 | 0.040 | 0.58 | 0.22 | 685 | 30 | 0.040 | 0.67 | 0.23 | 0.02 | 0.986 | 0.000 |
Data are means and standard deviations of the frequency of side effects reported in studies involving creatine supplementation. The overall multivariate analysis revealed no significant differences between placebo and creatine supplements (p = 0.340, np 2 = 0.023) .Univariate p-levels, effect sizes, and prevalence frequency observed/total sample size) values are also reported. † = Only reported in one clinical trial on 1,741 Parkinson’s patients consuming 10 g/d of a placebo or creatine monohydrate for up to 8-years (Kieburtz et al. 2015).
3.5. Adverse event report analysis
Table 4 shows a summary of the reported AERs in worldwide databases. Although AERs do not provide enough detail to assess causality and may not be attributed to creatine supplementation, only 203 adverse events mention creatine among 28.4 million reports (0.00072%). In the United States CAERS database, 46.3% of reports listing creatine did not contain creatine when evaluating the ingredients of the product listed. Among the CAERS that contained creatine as an ingredient, 37% listed CrM as the only product the individual was consuming, and 63% contained other nutrients consumed with CrM. Of these, only 15.8% involved ingestion of CrM with other nutrients, 47.3% involved other types of creatine, and 43.6% involved ingesting creatine with nutritional products or drugs, which makes attribution of CAERS to CrM alone impossible. Similar findings were seen when looking at the products associated with AERs from other databases.
Table 4.
Reported adverse events listing creatine.
Variable | USA | Canada | Australia | Europe | SIDER 4.1 | Total |
---|---|---|---|---|---|---|
Total AERS reported from 1999 – 2024 | 1,40,566 | 1,75,940 | 6,39,835 | 2,74,00,000 | 1,39,756 | 2,83,56,341 |
Total AERS reports mentioning creatine 1999 – 2024 | 307 | 32 | 6 | 0 | 0 | 345 |
Number of AERS reports mentioning creatine that do not contain creatine in product | 142 | 0 | 0 | 0 | 0 | 142 |
Number of AERS reports with creatine in the product | 165 | 32 | 6 | 0 | 0 | 203 |
Percentage of AERS reports mentioning creatine that do not contain creatine (%) | 46.3 | 0.0000 | 0.0000 | 0.0000 | 0.0000 | 0.00000 |
Percentage of AERS reports mentioning creatine in database (%) | 0.2184 | 0.0182 | 0.0009 | 0.0000 | 0.0000 | 0.00122 |
Percentage of AERS reports that actually have creatine in the products (%) | 0.1174 | 0.0182 | 0.0009 | 0.0000 | 0.0000 | 0.00072 |
Years evaluated in database | 25 | 50 | 27 | 24 | 10 | 27.20 |
Average AERS Reported per year | 6.6 | 0.64 | 0.22 | 0.00 | 0.00 | 7.46 |
3.6. Social media sentiment analysis
Results of the sentiment analysis based on YouTube data are presented in Table 5. A total of 129,782 comments were collected from YouTube videos published between April 2011 and February 2025 that contained the term “creatine” in their title or description. The majority of comments exhibit no strong sentiment, suggesting that many are informational rather than opinion-based. Overall, positive comments (blue) outnumber negative ones (orange), though neutral comments show a slightly higher proportion of negativity (Figure 2(a)). As sentiment strength increases, the number of comments decreases, with positive comments remaining more prevalent. The narrow confidence intervals and the small difference suggest that the overall sentiment is relatively balanced, with a marginal tendency toward positivity (average positive – average negative = 0.0711). Thus, most YouTube discussions on creatine seem neutral or slightly positive. Interestingly, comments containing the word “monohydrate” remain generally neutral despite having a higher percentage of comments with weak and moderate positive sentiments (average positive – average negative = 0.1033); however, negative sentiments were predominant when the estimated sentiment strength was classified as strong or very strong (Figure 2(b)). Comments containing the word “HCl” were more likely to express strong negative sentiments compared to the overall average, which could indicate greater dissatisfaction or criticism in these comments (average positive – average negative = −0.0595) (Figure 2(c)). The time series scanning revealed a continuous increase in YouTube comments with important peaks in July 2021, March 2022, August 2023, and September 2024 (Figure 2(d)).
Table 5.
Results of the sentiment analysis in YouTube (April 2011 to February 2025).
Overall (129,782 [100%]) |
Creatine Monohydrate (2,253 [1.7%]) |
Creatine HCl (1,026 [0.8%]) |
||||
---|---|---|---|---|---|---|
Score (strength) | Positive | Negative | Positive | Negative | Positive | Negative |
1 (none) | 67.90% | 74.34% | 53.93% | 62.58% | 54.48% | 57.89% |
2 (weak) | 18.52% | 14.41% | 26.01% | 21.44% | 28.27% | 21.25% |
3 (moderate) | 12.24% | 8.33% | 17.93% | 11.23% | 15.40% | 13.65% |
4 (strong) | 1.28% | 2.78% | 2.04% | 4.57% | 1.75% | 6.73% |
5 (very strong) | 0.06% | 0.14% | 0.09% | 0.18% | 0.10% | 0.49% |
Sentiment | Mean score | 95% CI | Mean score | 95% CI | Mean score | 95% CI |
Positive | 1.4708 | 1.4667, 1.4749 | 1.6835 | 1.6488, 1.7183 | 1.6472 | 1.5977, 1.6966 |
Negative | 1.3997 | 1.3955, 1.4039 | 1.5832 | 1.5471, 1.6193 | 1.7066 | 1.6472, 1.7660 |
Data are results of the SentiStrength algorithm. 95% CI: 95% confidence interval.
Figure 2.
Plots for the set of YouTube comments results on creatine. Above. Bar plot presenting the proportion of texts (Y-axis) and the sentiment strength scores (X-axis) for all collected comments (a), as well as for those including the words “monohydrate” (b) or “HCl” (c). Below. Time series graph displaying all YouTube comments from videos containing the word “creatine” in title or description, organized by publication date (d). The plots were generated using Mozdeh software.
The word mining analysis (Table S10) revealed statistically significant associations (p < 0.001) between the term “monohydrate” and words such as “creatine,” “micronized,” “creapure,” “better,” “cheapest,” and “effective,” as well as with “bloating,” “stomach,” and “issue.” In the case of “HCl,” significant associations were found with words like “stomach,” “better,” “bloating,” “superior,” “expensive,” “cost” and “soluble.” Both “HCl” and “monohydrate” were highly associated with each other, but the match percentage was lower for the latter. This might indicate that when people comment on HCl, they generally also mention monohydrate (37%), whereas the opposite occurs less frequently (17%).
Regarding Twitter (X) data up to 2021, a total of 657,039 tweets (90.5%) matched out after the search for “creatine” in the initial gathered data of 725,788 tweets. No significant differences were found on average sentiment; therefore, there was a neutral sentiment on creatine if we consider the mean values of the analyzed population (mean positive – mean negative = 0.0098). However, there is a higher prevalence of strong negative sentiment (2.09%) compared to a strong positive sentiment (0.69%) (Table S11).
4. Discussion
Although creatine has been studied since the early 1900s, CrM became a popular dietary supplement in the early 1990s after Harris, Hultman, Greenhaff, and colleagues [63–66] published several papers demonstrating that CrM supplementation could increase muscle PCr and influence high-intensity exercise performance. Additionally, reports in the media that several British Olympians used creatine during the 1992 Olympics piqued interest in the ergogenic value of creatine supplementation and its use in dietary supplements. About the same time, Earnest and colleagues [75] and Kreider and coworkers [76–79] demonstrated that creatine supplementation during training could augment gains in strength, power, and lean mass. This was followed by seminal studies by Volek and colleagues [80] and Willoughby et al. [81,82], which showed that gains in weight were attributed to gains in lean mass. These studies and others conducted during the mid-1990s to late 1990s propelled interest in CrM as a performance-enhancing dietary supplement for athletes.
While no side effects were observed in these early studies involving as much as 25 g/d of CrM for 84 days in American football players undergoing intense training [79], anecdotal reports began appearing in the media about purported side effects (e.g. cramping, dehydration, muscle strains/pulls, concern about kidney function, etc.). As a result, Kreider [83] published what we believe is the first paper to address some of these anecdotal side effects, noting that no study had reported any of these purported side effects mentioned in the media. At about the same time, several studies were conducted to assess whether athletes taking creatine experienced a greater risk of anecdotally reported side effects and/or adverse health outcomes [84–90]. Other studies directly assessed the merit of anecdotal reports of side effects and found that creatine supplementation did not increase the incidence of musculoskeletal injuries [84–87], dehydration [85,86,91–96], muscle cramping [80,85,86,92,97], gastrointestinal issues [84–87], promote renal dysfunction [87,89,98–107], or have long-term detrimental effects [50,87,106,108,109]. Consequently, the ISSN concluded in its 2007 [16] and the 2017 position stands [12] that CrM was safe and effective for all ages and that additional research should evaluate the potential therapeutic benefits of creatin in clinical populations that may benefit. The 2017 position noted that given the known benefits and safety profile of creatine supplementation, government legislatures and sports organizations who restrict and/or discourage the use of creatine may be placing athletes at greater risk [12].
One would expect that given the large safety profile of CrM [2], the position stands from the ISSN [12,16]; the fact that the FDA considers CrM GRAS [51] and it is the only source of creatine that is approved for sale in worldwide markets [2]; international athletic governing bodies and professional organizations consider CrM safe, effective, and legal for use [12,16–20]; and there has been increased awareness about the dietary need for creatine and reported health benefits throughout the lifespan [4–9,22], and for clinical populations [1,4,13,21,23–26,28–31,110–114] concerns about the safety of creatine supplementation would have diminished. Yet, inaccurate information on the Internet and social media platforms has persisted, confusing the public and healthcare professionals. To address this misinformation, creatine scholars published two papers regarding misconceptions about creatine supplementation [15,56]. Additionally, a Creatine for Health website was established [115] and a special issue on creatine in health and disease was published [1,4,13,21,23–26,28–31,110–114] to educate the public and healthcare professionals about the safety and efficacy of creatine supplementation. While these efforts have helped, concerns over the safety of creatine and legislative efforts to limit access to dietary supplements containing creatine continue. So much so that the ISSN issued a press release that was endorsed by nearly 40 creatine scholars to raise concerns about the potential negative health impact of limiting access to CrM, including to children and adolescents [116,117].
Given persistent concerns about the safety of creatine supplementation, we conducted this comprehensive analysis to better inform the public and governing bodies about the safety of creatine supplementation in various populations. Our literature search revealed that over 680 clinical trials have been conducted in humans on creatine supplementation (95% as creatine monohydrate) on over 26,000 participants. These studies are summarized in a searchable database provided in Supplement File 1. Most studies show that creatine supplementation can benefit healthy active populations as they age and provide therapeutic benefits in some clinical populations [2,4]. Additionally, we identified over 400 scholarly reviews and 100 meta-analyses about creatine supplementation. Most of those reviews conclude that creatine supplementation can provide some performance and/or clinical benefit, and most meta-analyses report some efficacy.
Analysis of the side effects reported in clinical trials was conducted in several ways. First, we evaluated the prevalence of studies reporting side effects for placebo and creatine-supplemented groups. This analysis revealed that no AERs have been reported from clinical trials lasting up to 14 years in healthy and medically managed populations ranging from infants to older adults. Additionally, the number (prevalence) of studies reporting side effects was not significantly different between studies reporting side effects in placebo versus creatine groups (13.2% versus 13.7%). While more studies reported GI issues (PLA 28/652 or 4.3%, Cr 63/685 or 9.2%, p < 0.001) and muscle cramping/pain (PLA 6/652 or 0.9%, Cr 20/685 or 2.9%, p = 0.008) with creatine supplementation, there were no significant differences in these side effects when the number of participants experiencing GI issues (PLA 545/13,452 or 4.2%, Cr 708/12,839 or 5.51%, p = 0.820) or muscle cramping/pain (PLA 9/13,452 or 0.07%, Cr 67/12,839 or 0.52%, p = 0.085) is evaluated in all of these studies. These findings indicate that while more clinical trials reported these issues in creatine users versus non-users, the percentage incidence was small, and the total number of participants experiencing these issues in all studies was not significantly different between those taking creatine and placebos. This means that while individuals taking creatine supplements may experience GI issues and muscle cramping/pain, the incidence is low and not different from those taking placebos. Additionally, the number of studies and frequency of participants experiencing other side effects were very low and not significantly different than placebos (±0.5%). This includes assessment of side effect symptomology and markers of health and renal function.
Present findings are similar to results reported in our long-term creatine safety study on American football players [86,87], where we showed that up to 21 months of creatine supplementation (5–10 g/d) in division I American football players did not significantly affect markers of health or renal function [87] and the incidence of side effects and injury in creatine users were proportional or lower than the percentage of athletes not taking creatine [86]. They are also consistent with other safety studies on creatine supplementation [50,80,84–87,89,91–109] and the long-term study conducted in Parkinson’s patients [74]. Collectively, these findings indicate that creatine supplementation is well tolerated and not associated with a disproportion increase in any purported side effect or clinical marker of health.
Our second analysis assessed adverse events reported in worldwide databases going back 10–50 years. This analysis revealed that the incidence of reported AERs mentioning creatine is rare (0.00072%). It also revealed evidence of inaccurate reporting and linking creatine to AERs. In the CAERS database, 46.3% of AERs inaccurately listed creatine as a contributor despite the products not actually having any creatine mentioned in the list of ingredients. This suggests that the individuals completing these AERs had little knowledge about the known effects of creatine supplementation. Additionally, several AERs reported issues seemingly unrelated to the known physiological and psychological effects of creatine, which also raises questions regarding accuracy, whether those attributing AERs were familiar with creatine research, were influenced by inaccurate information about creatine supplementation on the Internet or assumed that creatine had steroid-like effects (which it does not). Given creatine has been taken billions of times since it became a popular dietary supplement in the early 1990s, the lack of AERs reported in worldwide databases is consistent with the lack of side effects observed in clinical trials. Comparatively, according to the U.S. Center for Disease Control, more than 1.5 million individuals required emergency room visits for adverse drug effects from anticoagulant (21%), diabetes (14%) and antibiotic (13%) medications among others resulting in over 500,000 hospitalizations [118].
Finally, we conducted an interesting analysis of perceptions about creatine on popular social media platforms (YouTube and Twitter). While the overall assessment was the public was neutral about their positive and negative perceptions of creatine supplementation, negative sentiments were predominant when the estimated sentiment strength was classified as strong or very strong (especially in Twitter). While this difference was small, it suggests a disconnect between public perceptions about the safety profile established in the literature about creatine supplementation and information learned through the popular media and/or advertisements. Much of the misinformation about creatine comes from companies and influencers who are promoting different types of creatine as more effective than CrM with fewer “side effects” [2]. This type of misinformation only confused the public. Importantly, several activities led by the Creatine For Health initiative may have drawn public attention on YouTube, as the significant peaks in the time series analysis (July 2021, March 2022, August 2023, and September 2024) strongly coincide with key events. These include the special issue “Creatine Supplementation for Health and Clinical Diseases” (with several papers published during the first half of 2021), the Creatine Conference 2022 held in Alpharetta, USA, from March 16 to 19, 2022, increased activity and publications on the YouTube channel @creatineforhealth (first half of 2023), and the paid advertising strategy launched in early 2024 to boost the channel’s reach, resulting in videos surpassing one million views.
Although further efforts are needed to continue educating the public and combating misinformation, these data objectively support the positive impact of bridging the gap between high-level researchers (e.g. Creatine For Health is an initiative that brings together the world’s leading creatine researchers to accelerate awareness of the role of creatine supplementation in health and clinical diseases) and the general population through social media. As artificial intelligence (AI) methodologies improve, it may provide interesting ways to compare the science to public perceptions about creatine and other health strategies.
5. Limitations
This analysis is limited to the information provided in publications about the safety of creatine supplementation. In some cases, full details about study dosages, demographics of participants, and side effects were not provided. Some studies only mentioned side effects from those taking creatine with no mention of side effects from taking placebos which would overinflate the frequency reported with creatine supplementation. It is also unclear how anecdotal reports of side effects may have influenced researchers in reporting these side effects. It should also be noted that full details are not provided in AERs to assess causality. Additionally, given a large percentage of AERs mention creatine but were not actually in the products listed, creatine was taken with other nutrients and/or drugs, and some of the side effects reported appear unrelated to the known effects of creatine supplementation, which makes interpretation difficult. Finally, the big data text analysis has several limitations. First, the Twitter (X) API has time and size restrictions that affect the process of data gathering. Also, the query strategy normally matches many irrelevant YouTube comments and tweets as well. Finally, all social research has imperfect data and further studies on other social media platforms are needed (e.g. Facebook, LinkedIn). However, it must be noted that big data text analysis enables us to use manual judgments to identify parameters for disambiguating instances of automatically identified clues [119].
6. Conclusions
This comprehensive analysis reveals that CrM supplementation does not increase the prevalence or frequency of 35 side effects evaluated when compared to the frequency reported from participants taking placebos. This includes assessment of general health markers, renal function, and anecdotally reported side effects attributed to creatine supplementation in the media and on the Internet. Additionally, the mention of creatine in worldwide AERs is rare (0.00072%), mostly associated with co-ingestion of other nutrients and/or drugs, and in some cases report symptoms creatine studies never observed in any clinical trial or are unrelated to the known effects of creatine supplementation. Finally, while the sentiment analysis suggests that a small percentage of the public may have a stronger negative view about creatine supplementation, it is unclear how misinformation may have influenced these perceptions. Nevertheless, these findings indicate that CrM is well tolerated in children through older adults and healthy and medically managed patient populations. We urge lobbyists, policymakers, and health agencies to consult with leading creatine scientists and to consider the full spectrum of scientific data before implementing restrictions that would have adverse public health and performance implications.
Supplementary Material
Acknowledgments
The authors would like to thank the research participants, scholars, and funding agencies who have contributed to the research cited in this manuscript. Big data text mining and social network analyses in this study are part of the Creatine REsearch And information System (CREAS), a DBSS project that implements bibliometrics, scientometrics, and other AI-assisted analyses to routinely inform, develop, improve and support research endeavors and clinical practice (available at: www.CREAS.pro).
Funding Statement
The Exercise and Sports Nutrition Lab at Texas A&M University supported lab personnel to conduct this study. The APC charges for the publication of this paper will be funded by Alzchem Group AG (Trostberg, Germany) as part of a special issue for the Creatine for Health 2025 conference. The funders had no role in the analysis of data, writing of the manuscript, interpretation of the results, or decision to publish the results.
Disclosure statement
R.B.K. has conducted industry-sponsored research on creatine through grants awarded to the univesities he has been affiliated, received financial support for presenting invited lectures at conferences about sports nutrition and creatine, and has served as an expert witness throughout his career on cases related to exercise, dietary supplements, and safety. Additionally, he serves as Chair of the Scientific Advisory Board for AlzChem (a company that makes creatine monohydrate), is a co-founder of the International Society of Sports Nutrition (ISSN) which is a non-profit professional academic organization, and a member of the scientific advisory boards for Oath Nutrition and Trace Minerals. He does not own any patents, receive royalties for the sale of creatine or any dietary supplement, or have any ownership in a company that sells creatine or any dietary supplements. D.A.B. serves as the Scientific and Managing Director of KreaFood, an R&D&I project, and is a member of the “Creatine for Health” scientific advisory board for Alzchem Group AG. Additionally, he has served as a scientific consultant for dietary supplement brands in Europe and Colombia, researched nutritional supplements funded by academic institutions, and received honoraria for presenting on nutritional supplements at international conferences and private courses. D.E.G., K.H., and A.G. report no conflicts of interest.
Author contributions
Conceptualization, R.B.K and D.A.B.; writing – original draft preparation, R.B.K.; literature review and preparation of tables, R.B.K., D.E.G., K.H., A.G., and D.A.B.; writing – review and editing, R.B.K., D.E.G., and D.A.B. All authors have read and agreed to the published version of the manuscript.
Consent for publication
All authors have reviewed and approved the publication.
Data availability statement
Provided in supplemental files.
Supplementary material
Supplemental data for this article can be accessed online at https://doi.org/10.1080/15502783.2025.2488937
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