Abstract
The emergence of glucagon-like peptide-1 receptor agonists (GLP-1 RAs; semaglutide and others) now promises effective, non-invasive treatment of obesity for individuals with and without diabetes. Social media platforms’ users started promoting semaglutide/Ozempic as a weight-loss treatment, and the associated increase in demand has contributed to an ongoing worldwide shortage of the drug associated with levels of non-prescribed semaglutide intake. Furthermore, recent reports emphasized some GLP-1 RA-associated risks of triggering depression and suicidal thoughts. Consistent with the above, we aimed to assess the possible impact of GLP-1 RAs on mental health as being perceived and discussed in popular open platforms with the help of a mixed-methods approach. Reddit posts yielded 12,136 comments, YouTube videos 14,515, and TikTok videos 17,059, respectively. Out of these posts/entries, most represented matches related to sleep-related issues, including insomnia (n = 620 matches); anxiety (n = 353); depression (n = 204); and mental health issues in general (n = 165). After the initiation of GLP-1 RAs, losing weight was associated with either a marked improvement or, in some cases, a deterioration, in mood; increase/decrease in anxiety/insomnia; and better control of a range of addictive behaviors. The challenges of accessing these medications were a hot topic as well. To the best of our knowledge, this is the first study documenting if and how GLP-1 RAs are perceived as affecting mood, mental health, and behaviors. Establishing a clear cause-and-effect link between metabolic diseases, depression and medications is difficult because of their possible reciprocal relationship, shared underlying mechanisms and individual differences. Further research is needed to better understand the safety profile of these molecules and their putative impact on behavioral and non-behavioral addictions.
Keywords: GLP-1 receptor agonists, semaglutide, mental health, depression, anxiety, sleep disorders, food cravings, social media, netnography
1. Introduction
Depression, diabetes, and obesity are potentially interrelated [1,2,3,4] and represent major public and individual health threats. These conditions have a negative impact on people’s quality of life and are associated with serious medical complications [5,6,7]. Their treatment still represents an ongoing challenge for clinicians. Recently, new drugs belonging to the GLP-1 receptor agonists (GLP-1 RA) class to treat metabolic diseases such as obesity and type 2 diabetes [8,9,10,11] have been made available. Given their proven clinical efficacy in being associated with weight loss, which for some of these molecules is similar to bariatric surgery [12], GLP-1 RAs immediately aroused great interest [13,14,15]. Indeed, several celebrities have promoted their effects, contributing to a major boost in their popularity so that Ozempic and GLP-1 RAs have recently been the object of pervasive interest on social media as well as in prestigious academic and non-academic venues [16,17]. This, in turn, has recently been associated with significant problems related to their distribution and availability through conventional channels and regular prescription methods [18,19]. However, whilst the welcome for GLP-1 RA as weight loss agents has been enthusiastic, there have also been criticisms and concerns [20,21,22,23]. Indeed, recent reports emphasized liraglutide and semaglutide GLP-1 RA-associated risk of triggering depression, suicidal thoughts, and self-injury [24]. In the case of semaglutide, this specific warning had already been made explicit for Wegovy but not for Ozempic [25,26,27]. Although a number of issues are still unclear [28], EMA recently decided to closely monitor the issue, especially with certain GLP-1 RA formulations [24].
Previously, weight loss agents such as rimonabant [29] have been withdrawn from the market due to suicidal issues. A vast range of medications [30], including antidepressants [31,32,33,34], have been associated with both depression and suicidal ideation. In addition to individual vulnerability levels in developing a specific adverse drug reaction (ADR), one could argue that significant levels of media attention to an index issue may increase the levels of ADR reporting. Overall, however, for a molecule to be included in the Food and Drug Administration (FDA) Black Box Warning labelling, significant levels of evidence need to be made available [35].
Consistent with the above, and in line with previous social media-based work [36,37,38,39,40,41], we aimed to assess the possible impact of GLP-1 agonists on mental health in general as being perceived and discussed in popular open web platforms [42]. In carrying out these quantitative and qualitative analyses, recent advances in the use of both artificial intelligence (AI) and natural language processing were considered as well.
2. Materials and Methods
Data were collected from Reddit, TikTok and YouTube [43,44,45]; their related content was freely available from the open web. These ‘snapshot’ data gathering activities were carried out on 28 May 2023, and further updated on 13 June 2023, with the help of specialized web application (e.g., Exportcomments) [46]. The web application retrospectively collected all entries made since the inception of the different subreddits examined here, which were created over a timeframe spanning from December 2019 to November 2022. Most social media users’ comments, however, were actually made during the Spring of 2023. The following keywords were used here: Ozempic, semaglutide, tirzepatide, Mounjaro, Wegovy and Rybelsus. Other keywords were also included in the research (i.e., dulaglutide, liraglutide, albiglutide, exenatide, lixisenatide, Trulicity, Victoza and Saxenda), but there were few related comments and hence considered irrelevant for the current analysis. Collected raw data were imported into Word and Microsoft Excel spreadsheets (Microsoft Office Professional 2021, Version 2308 Build 16731.20170). A range of selected keywords of interest (e.g., depression, mood, mental health, anxiety, compulsion, panic, sleep, and insomnia) were then searched within the archived whole set of comments. The resulting comments containing the same keyword(s) were then grouped together and analysed using specialized software [47]. Comments were initially sampled in groups of 10, and the following input was used to analyse each group of comments [=ai(“ I want you to act as an expert in qualitative content analysis and analyse these posts for me. identify all the themes and then present them in bullet points. please also consider any potential biases or contextual factors that may impact your analysis”)]. The whole set of themes and biases relating to each keyword generated by Numerous.ai (e.g., the n = 204 depression-related comments were divided in 21 groups) was then analysed by using ChatGPT 3.5 using the following input “could you identify the 5 most frequent themes/biases among these?”. An unobtrusive, mixed-methods, qualitative and quantitative, netnographic approach [40,48] was then adopted. For data assessment and interpretation, a phenomenological qualitative media analysis [4] was undertaken as well. In line with similar studies [49,50], for each keyword selected here, the most common resulting themes were then analysed manually.
Confidentiality and Ethics
In line with previous studies [40,41], only publicly available data from the selected social media were analysed; no access to any private or protected accounts was undertaken. Full anonymity was guaranteed, and no aliases/references to the Reddit/TikTok/YouTube users were collected/analysed. Confidentiality measures applied to the dataset included storage in an online, password-protected computer and removal of screen pseudonyms, URLs, country, and city identifiers.
Ethical approval for the study was granted by the Department of Pharmacy Ethics Committee at the University of Hertfordshire (protocol number: aLMS/SF/UH/02951(4)).
3. Results
A large range of comments were pulled from Reddit, TikTok, and YouTube. The keywords “ozempic”, “semaglutide”, “tirzepatide”, “mounjaro”, “wegovy” and “rybelsus” attracted the most attention and were analysed. With posts being an individual element within a thread, Reddit posts yielded 12,136 comments, YouTube videos 14,515, and TikTok videos 17,059, respectively. Some 5859 threads were also identified as a potential source for extracting additional comments. Reddit threads were extracted from the following subreddits: r/Ozempic, r/OzempicForWeightLoss, r/Semaglutide, r/Tirzepatide, r/WegovyWeightLoss and r/Mounjaro. Table 1 reports the number of matches from all comments for the searched keywords: “depression”, “mood”, “mental health”, “anxiety”, “panic”, “compulsion”, “sleep/insomnia”. A qualitative analysis was then performed using an assisted AI methodology (see above), which led to the identification of the five most common themes for each keyword (Table 2).
Table 1.
Selected keywords and number of matches from all extracted comments.
Keywords | Number of Matches from All Comments |
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204 62 165 353 66 19 620 |
Table 2.
The 5 most common themes for each keyword.
Mental Health |
Themes |
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Depression |
Themes |
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Mood |
Themes |
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Anxiety |
Themes |
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Compulsion |
Themes |
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Sleep |
Themes |
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Insomnia |
Themes |
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As can be seen from Table 2, mental health discussions relating to weight loss, GLP-1 RAs and obesity covered a wide range of topics, highlighting the complex and interconnected nature of mental health and weight management. In being analysed separately, the above themes showed a tendency to provide overlapping results; hence, a few areas will be here discussed in more detail, and examples of related, illustrative posts will be provided as well.
3.1. The Complex Interrelation between Weight and Overall Levels of Psychological Wellbeing
One of the main issues discussed here was the interrelation between excessive weight and feelings of worthlessness, guilt, and stigma. According to a range of posts, obesity leads to the worsening of existing mental health problems or the development of new ones. Conversely, losing weight was associated with either a marked improvement or a deterioration of the mood itself.
Positive reports
e.g., This medicine is a game changer for people battling obesity. Obesity is so much more than being fat. It’s dealing with infections, joint pain, asthma, depression, and so many other comorbidities that sometimes make it feel impossible to live a more active lifestyle (…) This drug will literally be a life saver for many obese people.
e.g., I really think that this shot triggered changes in the habits in me that I had not noticed building up over years, habits that was using as crutches. Being able to “detox” off alcohol, anxiety and medication without feeling like the world was ending too? I think that resulted in getting pregnant.
e.g., My mental health has improved dramatically. I find myself feeling weird about feeling so normal and not hiding in my bedroom from the world. I actually want to discuss lower doses or stopping some of my medications for my anxiety, depression and PTSD with my doctor. My normal has been just turn it off in my head and live in the shadows.
e.g., (…) There’s medical research showing it has other mechanisms of effect on your brains rewards systems and dopamine receptors. Personally, I’ve had lifelong adhd, depression, and anxiety, and I’ve never felt like a medication completely worked. Vyvanse came close, so did adderall, but only while they were in my system and it was still touch and go. Semaglutide on the other hand felt like what people SAY antidepressants are supposed to feel like.
e.g., I have not had this problem. I have anxiety and depression and both have stayed stable since starting Weygovy.
Negative reports
e.g., I was on wegovy for a month. Within a few weeks, I was so depressed, I wasnt leaving my room, or spending time with my kids. I did the bare minimum. I have had depression before, but weeks of being solitary has never been my experience. I havent lost weight either. I dont know if its from the drug or not, but I am skipping my shot today. I now have seen that depression is a side affect, along with extreme fatigue (…).
e.g., This IMMEDIATELY threw my hormones and emotions into a downward spiral. I’m infuriated that they don’t list anxiety and depression as an official side effect yet it’s all over the internet. I actually became angry for no apparent reason within 1 h of taking this witch potion and felt miserable for days until it wore off. Never again.
e.g., My now ex takes this. In under six months he lost 150 pounds. He did not inform his doctor that he suffers from anxiety, depression, and is bipolar. The drug should not be taken if you have any of those. His rages, delusions, and erratic behaviour dramatically increased, to the point that he was a completely different person. Christmas Day he destroyed my office and attacked me. Please, be very cautious about taking this drug. It is dangerous.
e.g., At this point, I don’t think I can psychologically continue with Ozempic. It’s making me afraid of solid food; I can’t meet my work, relationship, and home responsibilities; and I feel too awful to exercise or enjoy life. Going to the ER sucks. I think I’m done for good (…).
e.g., Yep it gave me the worst anxiety and depression. I had no choice to get off it after 5 kg weight loss only. Life was not worth living at that point.
e.g., Please remember that Ozempic can cause suicidal thoughts. … Anxiety, Panic Attacks, Suicidal thoughts, etc. Not all people will experience this side effect, but please remember that if you do feel you are depressed, more anxious, etc., please check your medication. Ozempic has taken many lives and it is NOT commonly known that it can cause these issues. PLEASE do not take this medication if you feel this could compromise your mental health just for the sake of ‘weight loss’.
3.2. Weight Loss Medication Intake and Either Occurrence, or Improvement, of: Sleep Disturbances; Anxiety; “Food Noise”; Suicidal Ideation; Addictive Behavior
A range of posts were identified commenting on the appearance, or the amelioration, of a range of mental health-specific disturbances, including the achievement of an unexpected control over a range of addictive behaviors comorbid with obesity after the initiation of GLP-1 analogues.
Sleep-related issues
e.g., anyone noticed that tirz has affected their sleep? i have a really hard time falling asleep and when i sleep i usually toss and turn and wake up over and over, then wake up in the morning feeling literally hungover. i took my first dose of tirz on monday afternoon (2.5 mg) and i swear to god i have slept like a baby every night since. waking up feeling refreshed, rested, and so on. it’s been amazing!
e.g., My energy levels have skyrocketed, I no longer need a midday nap, have a better sleep schedule since I’m not waking up feeling like I’m starving in the middle of the night. This also may have to do with my weight loss and diet changes.
e.g., Has anyone else been restless before bed or have insomnia? I’m about 6 weeks in and noticed this entire last week and a half that I’ve been restless in my legs and up, just up, and I want to sleep but can’t. Just curious if this is happening to anyone else?
e.g., So I posted a question about insomnia etc. from tirz. I like literally have slept only a couple hrs since starting it. Would Ozempic have the same situation? Anyone have experience w this? Thanks!
Anxiety issues
e.g., Jan 1 and went to 0.5. got crazy anxiety. after 3 weeks went back down to btwn .25-.5. this past week went up to .5. no side effects this time really.
e.g., The first month was full of side effects and brought on severe chest pains- called the paramedics and the EKG confirmed no heart attack, my follow up with the doctor also confirmed i was fine, blood pressure is good, resting heart rate was higher but still in a good range, and based on a mental health screening, they believe it was a panic attack—which 100% makes sense based on my history.
e.g., … Severe anxiety, constant panic attacks, insomnia, hypoglycaemia .
“Food noise”
e.g., That’s what’s amazing about these medications. It does quiet the food compulsion noises and desires to binge eat. The food noise just goes away. The 4 weeks I had access to the medication was amazingly silent in my compulsion to eat my feelings away.
e.g., One of the best things about Ozempic for me is that it quiets the food noise in my brain. By which I mean that Ozempic frees up the mental and emotional energy I used to spend on either thinking about food or thinking about not eating food I very much want to scarf down.
Addictive behavior
e.g., It has been fascinating to watch people come into this sub and talk about how Sema has curbed their cravings for alcohol/cigs/online shopping. I think these drugs are potentially even more powerful than we originally thought. They have tremendous potential to be a force for good in the world—freeing people from their maladapted compulsions and anxiety.
e.g., My binging or impulsive tendencies has ceased. Coffee, tea, Dr. Pepper and online shopping are not happening.
e.g., (…) I have personally noticed not getting the “reward” from shopping, alcohol, etc.
3.3. Weight Loss Drugs; Related Safety and Challenges in Medications’ Access Issues
Quite a number of users discussed the somatic side effects of GLP-1 RA, typically including nausea, vomiting, diarrhoea. Very popular here were also comments on the challenges (e.g., insurance restrictions, high costs, and lack of enough stocks of molecules being made available) of accessing these medications.
e.g., Has anyone experienced this? I’m 39 years old female, I do hit the gym hard when I can but it’s difficult. I’ve noticed especially on my main lifts my heart rate sky rockers to 170–195 and I get a little scared. I try to rest in between to bring it back down but it’s causing ….feeling extremely weak/dizzy, etc.
e.g., I was prescribed Ozempic a year ago for weight loss. I was 180 lbs and lost 30 lbs and when I got off of it I gained it all back do to anxiety and depression. It was impossible for me to continue eating portions that small when the side effects wore off (…).
e.g., I’m trying to find a reason why I feel so shitty. I think Ozempic decrease the absorption of the meds I take orally. I take a lot of meds that could be considered stimulating, Adderall for ADHD and Wellbutrin for depression. Since I started taking the Ozempic it feels like I’m not taking those two meds at all, I feel exhausted, unmotivated, and unfocused all day.
e.g., I am considering compounded because I don’t have insurance coverage (…) and even though I got a Wegovy prescription and would pay out-of-pocket with the coupon for at least a month to see what happens it seems to be out of stock everywhere I’ve looked. (…).
e.g., It wasn’t just social media and celebrities ramping up demand. My husband’s doctor prescribed it to him even though he doesn’t have diabetes and suggested it unprompted. …. Insurance shot it down, and I’m glad it did. Doctor did NOT mention mental health risks of it to my husband even though he was going to the doctor because of mental health issues. The media is partially to blame, but don’t pretend that doctors weren’t also pushing it to too many of their patients unnecessarily in order to get pharmaceutical kickbacks.
e.g., I was on Ozempic Dec-April for T2D and my insurance changed their requirements and isn’t covering it anymore. My last dose was the first week of April and the last two weeks have been horrible for me. … I’m feeling so defeated and asked my doctors office to appeal insurance’s decision, but who knows how long that will take and if they’ll allow me to take it again.
e.g., This is so heartbreaking that people are using a diabetic medication for weight loss. This isn’t a trend this is stealing medication from people who need it. It’s disgusting. Exercise, eat right and get good sleep. Stop stealing medications for major diseases.
e.g., At the beginning of this year, I weighed 351 pounds … As of today, March 19, I am already down to 318. And that’s with the gradual stepping up of the dose. I have the full support of everyone in my life, including my diabetic wife, who has personally experienced not being to get her Ozempic due to people using it for what I call “trendy weight loss”.
e.g., i have growth hormone and thyroid hormone deficiency, which makes it extremely hard to lose weight due to a extremely slow metabolism. i’ve been on wegovy for a month now, and i’ve already lost 6–7 lbs. i’m so happy that i am able to get this medication, as it has been drastically improving my vitals (bp, etc.) and my mental health. i feel awful to anyone that is unable to get the medication due to how much it’s being prescribed.
e.g., My endocrinologist prescribed mounjaro to me in September and I’m on the og SC. I am 5′1 and was at my highest weight of 267. Prediabetic, IR, sleep apnea, anxiety/depression, hypothyroid, and Hashimotos. Felt horrible, joints hurt, out of breath. Ask me about any gym, exercise program, bariatric doctors, medications, etc. and I have tried them all and could tell you about them. Some would work but would always gain back double to the point that nothing worked anymore. Mounjaro in a sense, saved my life. I’m 201 and finally feeling human again. However, here are my woes…every PA and appeal and peer review has been denied because BCBS doesn’t cover it without type 2 diabetes. Wegovy with their SC is still $1700 for me. I need something to help with binge eating and food noise and to help my body know how to work correctly. After June, I’m at a loss.
4. Discussion
To the best of our knowledge, this is the very first paper aimed at assessing, with the help of qualitative and quantitative/mixed-methods [51,52], social media listening/netnographic [53,54,55,56,57] approaches, the GLP-1 receptor agonists’ possible related mental health issues as being perceived and described by a large number of open web and social media platform (e.g., YouTube, TikTok, Reddit) customers. The focus here was on the most represented topics and discussions that were identified, in line with recent literature studies [58,59,60], with the help of both Artificial Intelligence and natural language processing.
Previous similar studies aimed at describing social media entries/posts relating to anti-obesity drugs’ adherence, efficacy, and side effects [61]; analysing online trends of GLP-1 RAs [13,62]; or describing diabetics’ online behavior using netnography [63]. Social media listening and content analysis have been previously used to investigate the experiences and drug use patterns of individuals from a wide range of clinical and potentially harmful conditions, such as drug misuse, antidepressant use, obesity and depression [61,64,65,66,67,68,69,70,71]. These methodological approaches have also been employed to examine potential new clinical trends during specific time periods (e.g., the COVID-19 pandemic) [40,72,73].
Overall, it is relevant to note that current findings, mostly relating to customers’ observations made in the first part of 2023, commented in real time, and somehow possibly anticipated as well, a range of concerns reported by both media and clinicians during the last few months of 2023 [42,74,75]. This observation may not be surprising; indeed, social media have become an important part of our lives, influencing the way we spend time. In recent years, social media are increasingly used as resources and sources of information [76,77,78]. Current findings seem to confirm that these platforms are extensively used to share a huge and varied range of information. However, the huge social media interest observed here may have been associated with both a recent GLP-1 RAs drug shortage and a range of improper self-administration reports in non-clinically obese, non-diabetic, non-prescribed subjects [18,25,79]. Overall, users showed an intense need to compare their experiences with their peers, especially so to discuss specific symptoms, similar to what happens with recreational drug trip reports [40,80,81,82]. Conversely, this comparison-seeking behavior, in the case of prescribed medications, may be associated with the need to access more pharmaceutical- and diabetes/obesity-related data. From this point of view, however, recent literature has highlighted the potential risks of both an infodemic of false or misleading information [83,84] and a syndemic, which not only complicates the understanding of clinical conditions but also their resolution through an exacerbation of the public health problem [85].
Another issue that emerged here was the strong sense of “self-efficacy”, the “joy” of losing weight and the perceived sense of control over the amount of ingested food. A large number of both posts and pictures highlighted here the “before and after” effects of treatment, suggesting a form of pride that drove users to share such results online. Some seemed to consider weight reduction as a more important goal than health effects. The number of kilograms/pounds lost was a common topic of discussion, along with apprehension about regaining one’s original weight after discontinuation of treatment due to lack of medication, side effects or prescribing reasons. From this point of view, semaglutide and other GLP-1 RAs could be considered to some extent as Image and Performance Enhancing Drugs (IPEDs) [42].
People with diabetes and obesity show levels of comorbidity with depression [1]. Managing type 2 diabetes, including taking medicines, maintaining a healthy lifestyle, and monitoring blood glucose levels can be stressful, and this can be a factor in the development of depression and thoughts of suicide. Furthermore, the combination of type 2 diabetes and depression may be particularly evident in deprived socio-economic groups, possibly due to food insecurity issues [1,86,87,88,89]. Based on the content of current posts, these inequalities were possibly behind those posts reporting difficulties in both getting a prescription and communicating with physicians, which, in turn, may be due to healthcare access and health insurance issues.
GLP-1 RAs have been considered antidepressants [90,91], either in monotherapy or in combination [92]. Indeed, GLP-1 RA-related “rapid” lifestyle changes due to significant/dramatic weight loss [12] may have a positive effect on the individual. However, GLP-1 RAs are reportedly involved in the regulation of both inflammation [91,93] and hormones involved in mood and appetite regulation, such as cortisol and thyroid hormones [94]. These issues may further explain GLP-1 RAs’ antidepressant effects.
Conversely, analysing the different range of posts, a variety of descriptions suggesting the occurrence of a GLP-1 RA-related depression emerged here. One could argue that this was possibly associated with pre-existing mental health conditions. Conversely, a range of platform users described the potentially negative impacts of GLP-1 RAs’ related hypoglycaemic states on their mood. Of note, insulin-induced hypoglycemia is a common cause of emergency department calls [95], and abnormal glycaemic homeostasis has been related to the onset of mental illness [96]. Type 2 diabetes, especially in patients with depressive symptoms, is associated with increasing levels of suicidal behavior and suicidal ideation; among the risk factors, there is unsatisfactory glycaemic control [97,98,99,100]. Furthermore, body mass index has a role in suicidality, and suicidal thoughts are still under investigation in obesity [101,102,103]. Whilst GLP-1 RAs improve glycaemic control by increasing insulin secretion and decreasing glucagon production [104,105], fluctuations in blood glucose levels may influence mood and may increase the risk of developing depressive symptoms. It is also worth noting that several users feared a relapse of depressive symptoms after discontinuation of treatment.
Depression may manifest itself in some obese subjects not only with lowering of mood but also with anxiety, insomnia, appetite changes [106], impulsivity [107,108], and rumination issues/“food noise” [109]. In line with these observations, previous studies showed that although GLP-1 RAs may present with antidepressant effects [87,91], they may possess anxiogenic effects [110,111]. In fact, the GLP-1 RA-related potential modification of GABAergic neurotransmission [112,113] may help in explaining the occurrence of complex symptom constellations such as anxiety, sleep disorders, and relief from depression.
Finally, the putative effect of GLP-1 RAs on craving in relation to behavioral and non-behavioral addictions was fairly extensively commented on by social platform users. An overall impact on cravings in GLP-1 RA-prescribed subjects has been discussed [114,115,116,117]. Indeed, the brain’s dopaminergic reward system is involved in motivation, mood, pleasure, and food cravings [118,119]. From this point of view, one could argue that the satiety effects relating to GLP-1 RAs, resulting in clear weight loss effects, may well be related to their direct/indirect action on the dopamine reward system.
Limitations
Data utilization from social platforms comes with limitations. Indeed, different from other data collection methods, such as focus groups or interviews, on social media people, tend to speak freely, and that by itself is an advantage. Social media data analysis may, however, imply biases, methodological pitfalls and ethical boundaries. From this point of view, strict adherence to ethical guidelines is essential since this ensures user anonymity and appropriate data use, although it may inherently limit the depth of personal user data analysis. The lack of experimental control complicates the determination of causality, and data integrity can suffer from users’ inaccuracies and omissions. Researcher bias, linguistic heterogeneity and self-presentation tendencies increase the burden of data rigour. Furthermore, a more granular, platform-specific analysis could have helped here in achieving better levels of understanding of social media users’ comments. A further bias was here given by the sole use of English as the language chosen for the analysis. Again, whilst the selected keywords efficiently directed the data extraction, the same choice of keywords inherently may have been associated with a certain level of selection bias, and, as a result, some relevant discussions might have been missed. The broader applicability of findings is influenced by platform demographics, while temporal and spatial variables can affect data representativeness. More specifically, while the study has described user-generated perceptions, it may also inadvertently have captured reactions to external events that influenced these platforms’ users during the data collection period chosen here. A further important issue is the identity of those writing on social networking sites. Some may present with anonymity; others may use different nicknames; a few may engage in trolling behavior; and finally, an individual may possess several identities/aliases/usernames and post the same material. Furthermore, social media, including Reddit, users are only partially representative of people who use drugs in general since not all drug misusers have access to computers and/or smartphones.
The current study uncovered a variety of biases strictly related to online studies and data collection methodology, e.g., selection bias due to the fora’s focus on weight loss drugs, confirmation bias driven by users’ personal experiences, psychological traits, socio-cultural and economic biases influencing beliefs. Media, context, cultural and social influence also contribute. While Reddit, TikTok, and YouTube were chosen for their popularity and reach, user demographics and characteristics may well differ across platforms. Thus, current findings might not be wholly representative of other online platforms, broader offline perceptions, and the whole community of people using GLP-1 RAs, a population that may include no-fixed-abode subjects, such as individuals from deprived areas, etc. Moreover, differences between the GLP1-RAs’ routes of administration were not analysed in detail, nor was a comparison performed between the individual molecules.
To cope, however, with the possible inadequacy of a dataset based on a range of self-reporting statements, with the current cherry-picking approach [120,121], a range of interesting results was still identified and discussed, somewhat supporting the validity of the large sample of posts/comments analysed here.
The use of artificial intelligence (AI) and natural language processing may be another reason for methodological debate. The novel AI-based approach allowed a fast and effective qualitative analysis, reducing the operator time and bias. Overall, these approaches have enabled new techniques for analysing textual data, attracting research interest in various fields, e.g., social sciences, drug discovery, and marketing [122,123,124,125,126]. Generative AI’s multifaced role has arisen as a significant frontier in augmenting cognitive processes and driving innovation in scientific investigation. This technology offers a new approach to imagination and intellectual exploration by redefining both thinking and creativity. AI chatbots, including ChatGPT, seem to be valuable aids for scientists, assisting in material organization and facilitating data elaboration. As well, research shows that AI text analysis carries the risk of propagating biases and errors from training datasets due to its reliance on machine learning from such data. The lack of transparency in complex neural networks aggravates this concern by hindering the ability to provide clear explanations and accountability [127,128,129]. However, a cautious use with constant human supervision, as here carried out, to avoid the well-known and typical AI’s “hallucinations” [130,131,132,133,134], can be helpful in mixed and integrated approaches, for example, to facilitate the analysis of vast quantities of textual data.
5. Conclusions
It appears from the results reported here that some novel antidiabetics were perceived as affecting mood and behavior. A range of factors may influence, independently, depression and mental health in patients taking GLP-1 RAs, such as pre-existing risk factors for depression or suicidal ideation, for example, a family history of mental illness or recent stressful events, and co-occurring medications. Establishing a clear cause-and-effect link between metabolic diseases, depression and medications is difficult because of their possible reciprocal relationship, shared underlying mechanisms and individual differences. Further research is needed to better understand both these complex interactions; the possible clinical impact of GLP-1 RAs on behavioral and non-behavioral addictions; and the safety profile [135] of these molecules. Finally, one issue looming at the door, still largely ignored in social media and public discourse, is that despite the current hype, GLP-1 RAs may be losing effects over time and rebound mechanisms in terms of weight loss and behavioral outcomes should be expected, as it has been here suggested by a few social media users. Hence, it is conceivable that a second wave of comments from disappointed users will soon occupy the blogosphere.
Author Contributions
Conceptualisation, D.A., G.F. and F.S.; methodology, D.A., G.F. and F.S.; formal analysis and data management, D.A. and G.F.; writing, original draft preparation, D.A., G.F. and F.S.; supervision, F.S.; writing, reviewing and editing, D.A., G.F., F.S., A.G., J.M.C., V.C., G.M. and S.L.S. All authors have read and agreed to the published version of the manuscript.
Institutional Review Board Statement
The study was conducted in accordance with the Declaration of Helsinki, and approved by the Department of Pharmacy Ethics Committee at the University of Hertfordshire (protocol number: aLMS/SF/UH/02951(4)).
Informed Consent Statement
Only publicly available data were analysed; no access to any private or protected accounts was undertaken. Full anonymity was guaranteed, and no aliases/references were collected/analysed. Confidentiality measures applied to the dataset included storage in an online, password-protected computer and removal of screen pseudonyms, URLs, country, and city identifiers.
Data Availability Statement
The data that support the findings of this study are available from the corresponding author upon reasonable request.
Conflicts of Interest
F.S. was a member of the UK Advisory Council on the Misuse of Drugs (ACMD; 2011–2019) and is currently a member of the EMA Advisory Board (Psychiatry). J.M.C. is a member of the ACMD’s Novel Psychoactive Substances and Technical Committees. G.M. has been a consultant and/or a speaker and/or has received research grants from Angelini, Doc Generici, Janssen-Cilag, Lundbeck, Otsuka, Pfizer, Servier, and Recordati. A.D., G.F., A.G., V.C., S.L.S. declare no conflicts of interest.
Funding Statement
The study was carried out with the internal support of the University of Hertfordshire (GL11101336—Centre Clinical and Health Services QR).
Footnotes
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.
References
- 1.Sevilla-González M.D.R., Quintana-Mendoza B.M., Aguilar-Salinas C.A. Interaction Between Depression, Obesity, and Type 2 Diabetes: A Complex Picture. Arch. Med. Res. 2017;48:582–591. doi: 10.1016/j.arcmed.2018.02.004. [DOI] [PubMed] [Google Scholar]
- 2.Fernandes B.S., Salagre E., Enduru N., Grande I., Vieta E., Zhao Z. Insulin resistance in depression: A large meta-analysis of metabolic parameters and variation. Neurosci. Biobehav. Rev. 2022;139:104758. doi: 10.1016/j.neubiorev.2022.104758. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Tabák A.G., Akbaraly T.N., Batty G.D., Kivimäki M. Depression and type 2 diabetes: A causal association? Lancet Diabetes Endocrinol. 2014;2:236–245. doi: 10.1016/S2213-8587(13)70139-6. [DOI] [PubMed] [Google Scholar]
- 4.Yang J.P., Nhan E.R., Tung E.L. COVID-19 anti-Asian racism and race-based stress: A phenomenological qualitative media analysis. Psychol. Trauma. 2022;14:1374–1382. doi: 10.1037/tra0001131. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Malhi G.S., Mann J.J. Depression. Lancet. 2018;392:2299–2312. doi: 10.1016/S0140-6736(18)31948-2. [DOI] [PubMed] [Google Scholar]
- 6.Caballero B. Humans against Obesity: Who Will Win? Adv. Nutr. 2019;10((Suppl. S1)):S4–S9. doi: 10.1093/advances/nmy055. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Tomic D., Shaw J.E., Magliano D.J. The burden and risks of emerging complications of diabetes mellitus. Nat. Rev. Endocrinol. 2022;18:525–539. doi: 10.1038/s41574-022-00690-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Baggio L.L., Drucker D.J. Glucagon-like peptide-1 receptor co-agonists for treating metabolic disease. Mol. Metab. 2021;46:101090. doi: 10.1016/j.molmet.2020.101090. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Brown E., Heerspink H.J.L., Cuthbertson D.J., Wilding J.P.H. SGLT2 inhibitors and GLP-1 receptor agonists: Established and emerging indications. Lancet. 2021;398:262–276. doi: 10.1016/S0140-6736(21)00536-5. [DOI] [PubMed] [Google Scholar]
- 10.Iqbal J., Wu H.X., Hu N., Zhou Y.H., Li L., Xiao F., Wang T., Jiang H.L., Xu S.N., Huang B.L., et al. Effect of glucagon-like peptide-1 receptor agonists on body weight in adults with obesity without diabetes mellitus-a systematic review and meta-analysis of randomized control trials. Obes. Rev. 2022;23:e13435. doi: 10.1111/obr.13435. [DOI] [PubMed] [Google Scholar]
- 11.Li S., Vandvik P.O., Lytvyn L., Guyatt G.H., Palmer S.C., Rodriguez-Gutierrez R., Foroutan F., Agoritsas T., Siemieniuk R.A.C., Walsh M., et al. SGLT-2 inhibitors or GLP-1 receptor agonists for adults with type 2 diabetes: A clinical practice guideline. BMJ. 2021;373:n1091. doi: 10.1136/bmj.n1091. [DOI] [PubMed] [Google Scholar]
- 12.Azuri J., Hammerman A., Aboalhasan E., Sluckis B., Arbel R. Tirzepatide versus semaglutide for weight loss in patients with type 2 diabetes mellitus: A value for money analysis. Diabetes Obes. Metab. 2023;25:961–964. doi: 10.1111/dom.14940. [DOI] [PubMed] [Google Scholar]
- 13.Han S.H., Safeek R., Ockerman K., Trieu N., Mars P., Klenke A., Furnas H., Sorice-Virk S. Public Interest in the Off-Label Use of Glucagon-Like Peptide 1 Agonists (Ozempic) for Cosmetic Weight Loss: A Google Trends Analysis. Aesthet. Surg. J. 2023:sjad211. doi: 10.1093/asj/sjad211. [DOI] [PubMed] [Google Scholar]
- 14.Bonner L. GLP-1 Receptor Agonists: Breaking down the Hype and Demand. American Pharmacists Association. [(accessed on 11 August 2023)]. Available online: https://pharmacist.com/Publications/Pharmacy-Today/Article/glp-1-receptor-agonists-breaking-down-the-hype-and-demand.
- 15.Suran M. As Ozempic’s Popularity Soars, Here’s What to Know About Semaglutide and Weight Loss. JAMA. 2023;329:1627–1629. doi: 10.1001/jama.2023.2438. [DOI] [PubMed] [Google Scholar]
- 16.Yang A. National Geographic. Ozempic Is a Serious Drug with Serious Risks. Here’s What to Know. [(accessed on 11 August 2023)]. Available online: https://www.nationalgeographic.com/science/article/ozempic-tiktoks-favorite-weight-loss-drug-is-unproven.
- 17.Blum D. The New York Times. [(accessed on 11 August 2023)]. Available online: https://www.nytimes.com/2022/11/22/well/ozempic-diabetes-weight-loss.html.
- 18.Whitley H.P., Trujillo J.M., Neumiller J.J. Special Report: Potential Strategies for Addressing GLP-1 and Dual GLP-1/GIP Receptor Agonist Shortages. Clin. Diabetes. 2023;41:467–473. doi: 10.2337/cd23-0023. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.FDA Medications Containing Semaglutide Marketed for Type 2 Diabetes or Weight Loss. [(accessed on 11 August 2023)]; Available online: https://www.fda.gov/drugs/postmarket-drug-safety-information-patients-and-providers/medications-containing-semaglutide-marketed-type-2-diabetes-or-weight-loss.
- 20.Skydsgaard N. Reuters. Novo Nordisk Says EMA Raised Safety Signal on Drugs Including Semaglutide. [(accessed on 11 August 2023)]. Available online: https://www.reuters.com/business/healthcare-pharmaceuticals/novo-nordisk-shares-slip-ema-drug-safety-signal-2023-06-22/
- 21.Belluz J.V. Obesity in the Age of Ozempic. [(accessed on 11 August 2023)]. Available online: https://www.vox.com/science-and-health/23584679/ozempic-wegovy-semaglutide-weight-loss-obesity.
- 22.Davis N. The Guardian. New Diabetes Drugs Do Not Tackle Root Causes of Obesity, Experts Warn. [(accessed on 11 August 2023)]. Available online: https://www.theguardian.com/society/2023/feb/05/new-diabetes-drugs-do-not-tackle-root-causes-of-obesity-experts-warn.
- 23.Massy-Westropp M. UNSW Sydney. What We Can Learn from the Ozempic Shortage. [(accessed on 11 August 2023)]. Available online: https://www.unsw.edu.au/newsroom/news/2023/02/what-we-can-learn-from-the-ozempic-shortage#:~:text=The%20Ozempic%20shortage%20illustrates%20the,current%20dearth%20of%20such%20medications.
- 24.EMA EMA Statement on Ongoing Review of GLP-1 Receptor Agonists. [(accessed on 11 August 2023)]; Available online: https://www.ema.europa.eu/en/news/ema-statement-ongoing-review-glp-1-receptor-agonists.
- 25.FDA Ozempic Prescribing Information. [(accessed on 11 August 2023)]; Available online: https://www.accessdata.fda.gov/drugsatfda_docs/label/2022/209637Orig1s009lbl.pdf.
- 26.FDA Rybelsus Prescribing Information. [(accessed on 11 August 2023)]; Available online: https://www.accessdata.fda.gov/drugsatfda_docs/label/2023/213051s012lbl.pdf.
- 27.FDA Wegovy Prescribing Information. [(accessed on 11 August 2023)]; Available online: https://www.accessdata.fda.gov/drugsatfda_docs/label/2023/215256s007lbl.pdf.
- 28.Youmshajekian L. Medscape. Evidence Weighed for Suicide/Self-Harm with Obesity Drugs. [(accessed on 11 August 2023)]. Available online: https://www.medscape.com/viewarticle/994266#vp_1.
- 29.Chilton M., Dunkley A., Carter P., Davies M.J., Khunti K., Gray L.J. The effect of antiobesity drugs on waist circumference: A mixed treatment comparison. Diabetes Obes. Metab. 2014;16:237–247. doi: 10.1111/dom.12198. [DOI] [PubMed] [Google Scholar]
- 30.Qato D.M., Ozenberger K., Olfson M. Prevalence of Prescription Medications With Depression as a Potential Adverse Effect Among Adults in the United States. JAMA. 2018;319:2289–2298. doi: 10.1001/jama.2018.6741. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Spielmans G.I., Spence-Sing T., Parry P. Duty to Warn: Antidepressant Black Box Suicidality Warning Is Empirically Justified. Front. Psychiatry. 2020;11:18. doi: 10.3389/fpsyt.2020.00018. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Goodman W.K., Storch E.A. Commentary: Duty to Warn: Antidepressant Black Box Suicidality Warning is Empirically Justified. Front. Psychiatry. 2020;11:363. doi: 10.3389/fpsyt.2020.00363. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Plöderl M., Amendola S., Hengartner M.P. Observational studies of antidepressant use and suicide risk are selectively published in psychiatric journals. J. Clin. Epidemiol. 2023;162:10–18. doi: 10.1016/j.jclinepi.2023.07.015. [DOI] [PubMed] [Google Scholar]
- 34.Lagerberg T., Matthews A.A., Zhu N., Fazel S., Carrero J.J., Chang Z. Effect of selective serotonin reuptake inhibitor treatment following diagnosis of depression on suicidal behaviour risk: A target trial emulation. Neuropsychopharmacology. 2023;48:1760–1768. doi: 10.1038/s41386-023-01676-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Llamas M. Black Box Warnings. [(accessed on 11 August 2023)]. Available online: https://www.drugwatch.com/fda/black-box-warnings/
- 36.Kim Y., Huang J., Emery S. Garbage in, Garbage Out: Data Collection, Quality Assessment and Reporting Standards for Social Media Data Use in Health Research, Infodemiology and Digital Disease Detection. J. Med. Internet Res. 2016;18:e41. doi: 10.2196/jmir.4738. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Andreotta M., Nugroho R., Hurlstone M.J., Boschetti F., Farrell S., Walker I., Paris C. Analyzing social media data: A mixed-methodss framework combining computational and qualitative text analysis. Behav. Res. Methods. 2019;51:1766–1781. doi: 10.3758/s13428-019-01202-8. [DOI] [PubMed] [Google Scholar]
- 38.Kajamaa A., Mattick K., de la Croix A. How to … do mixed-methods research. Clin. Teach. 2020;17:267–271. doi: 10.1111/tct.13145. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Holborn T., Schifano F., Deluca P. No prescription? No problem: A qualitative study investigating self-medication with novel psychoactive substances (NPS) Int. J. Drug Policy. 2023;118:104109. doi: 10.1016/j.drugpo.2023.104109. [DOI] [PubMed] [Google Scholar]
- 40.Arillotta D., Guirguis A., Corkery J.M., Scherbaum N., Schifano F. COVID-19 Pandemic Impact on Substance Misuse: A Social Media Listening, Mixed Method Analysis. Brain Sci. 2021;11:907. doi: 10.3390/brainsci11070907. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Catalani V., Arillotta D., Corkery J.M., Guirguis A., Vento A., Schifano F. Identifying New/Emerging Psychoactive Substances at the Time of COVID-19; A Web-Based Approach. Front. Psychiatry. 2021;11:632405. doi: 10.3389/fpsyt.2020.632405. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Chiappini S., Vickers-Smith R., Harris D., Papanti Pelletier G.D., Corkery J.M., Guirguis A., Martinotti G., Sensi S.L., Schifano F. Is There a Risk for Semaglutide Misuse? Focus on the Food and Drug Administration’s FDA Adverse Events Reporting System (FAERS) Pharmacovigilance Dataset. Pharmaceuticals. 2023;16:994. doi: 10.3390/ph16070994. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.YouTube Main Page. [(accessed on 11 August 2023)]. Available online: https://www.youtube.com/
- 44.TikTok Main Page. [(accessed on 11 August 2023)]. Available online: https://www.tiktok.com/
- 45.Reddit Main Page. [(accessed on 11 August 2023)]. Available online: https://www.reddit.com/
- 46.Exportcomments. [(accessed on 11 August 2023)]. Available online: https://exportcomments.com/
- 47.Numerous.ai. [(accessed on 11 August 2023)]. Available online: https://numerous.ai/
- 48.Orsolini L., Corkery J.M., Chiappini S., Guirguis A., Vento A., De Berardis D., Papanti D., Schifano F. ‘New/Designer Benzodiazepines’: An Analysis of the Literature and Psychonauts’ Trip Reports. Curr. Neuropharmacol. 2020;18:809–837. doi: 10.2174/1570159X18666200110121333. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49.Moreno-Ortiz A., García-Gámez M. Strategies for the Analysis of Large Social Media Corpora: Sampling and Keyword Extraction Methods. Corpus Pragmat. 2023;7:241–265. doi: 10.1007/s41701-023-00143-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50.Faviez C., Talmatkadi M., Foulquié P., Mebarki A., Schück S., Burgun A., Chen X. Assessment of the early detection of anosmia-ageusia symptoms in COVID-19 on Twitter: A retrospective study. JMIR Infodemiol. 2023;3:e41863. doi: 10.2196/41863. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51.Schoonenboom J., Johnson R.B. How to Construct a Mixed Methods Research Design. Köln. Z. Soziol. 2017;69:107–131. doi: 10.1007/s11577-017-0454-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 52.Shorten A., Smith J. Mixed Methods Research: Expanding the Evidence Base. Evid. Based Nurs. 2017;20:74–75. doi: 10.1136/eb-2017-102699. [DOI] [PubMed] [Google Scholar]
- 53.Tricco A.C., Zarin W., Lillie E., Jeblee S., Warren R., Khan P.A., Robson R., Pham B., Hirst G., Straus S.E. Utility of social media and crowd-intelligence data for pharmacovigilance: A scoping review. BMC Med. Inform. Decis. Mak. 2018;18:38. doi: 10.1186/s12911-018-0621-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 54.Schmälzle R., Huskey R. Integrating media content analysis, reception analysis, and media effects studies. Front. Neurosci. 2023;17:1155750. doi: 10.3389/fnins.2023.1155750. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 55.Kozinets R.V. The Field behind the Screen: Using Netnography for Marketing Research in Online Communities. J. Mark. Res. 2002;39:61–72. doi: 10.1509/jmkr.39.1.61.18935. [DOI] [Google Scholar]
- 56.Kozinets R.V. The International Encyclopedia of Digital Communication and Society. In: Mansell R., editor. International Encyclopedia of Digital Communication and Society. Volume 12. Sage; London, UK: 2015. pp. 1–8. [Google Scholar]
- 57.Salzmann-Erikson M., Eriksson H. A Mapping Review of Netnography in Nursing. Qual. Health Res. 2023;33:701–714. doi: 10.1177/10497323231173794. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 58.Abouammoh N., Alhasan K., Raina R., Malki K.A., Aljamaan F., Ibraheem T., Muaygil R., Wahabi A., Jamal A., Wahabi H., et al. Exploring Perceptions and Experiences of CHATGPT in Medical Education: A qualitative study among medical college faculty and students in Saudi Arabia. medRxiv. 2023 doi: 10.1101/2023.07.13.23292624. [DOI] [Google Scholar]
- 59.Tunca S., Sezen B., Wilk V. An exploratory content and sentiment analysis of the guardian metaverse articles using leximancer and natural language processing. J. Big Data. 2023;10:82. doi: 10.1186/s40537-023-00773-w. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 60.Saffar A.H., Mann T.K., Ofoghi B. Textual emotion detection in health: Advances and applications. J. Biomed. Inform. 2023;137:104258. doi: 10.1016/j.jbi.2022.104258. [DOI] [PubMed] [Google Scholar]
- 61.Alvarez-Mon M.A., Llavero-Valero M., Asunsolo Del Barco A., Zaragozá C., Ortega M.A., Lahera G., Quintero J., Alvarez-Mon M. Areas of Interest and Attitudes Toward Antiobesity Drugs: Thematic and Quantitative Analysis Using Twitter. J. Med. Internet Res. 2021;23:e24336. doi: 10.2196/24336. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 62.Dzaye O., Berning P., Razavi A.C., Adhikari R., Jha K., Nasir K., Ayers J.W., Mortensen M.B., Blaha M.J. Online searches for SGLT-2 inhibitors and GLP-1 receptor agonists correlate with prescription rates in the United States: An infodemiological study. Front. Cardiovasc. Med. 2022;9:936651. doi: 10.3389/fcvm.2022.936651. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 63.Tenderich A., Tenderich B., Barton T., Richards S.E. What Are PWDs (People With Diabetes) Doing Online? A Netnographic Analysis. J. Diabetes Sci. Technol. 2019;13:187–197. doi: 10.1177/1932296818813192. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 64.Golder S., Bach M., O’Connor K., Gross R., Hennessy S., Gonzalez Hernandez G. Public Perspectives on Anti-Diabetic Drugs: Exploratory Analysis of Twitter Posts. JMIR Diabetes. 2021;6:e24681. doi: 10.2196/24681. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 65.Burki T. Social media and misinformation in diabetes and obesity. Lancet Diabetes Endocrinol. 2022;10:845. doi: 10.1016/S2213-8587(22)00318-7. [DOI] [PubMed] [Google Scholar]
- 66.Stellefson M., Paige S., Apperson A., Spratt S. Social Media Content Analysis of Public Diabetes Facebook Groups. J. Diabetes Sci. Technol. 2019;13:428–438. doi: 10.1177/1932296819839099. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 67.Razzak F.A., Saab D., Haddad F., Antoun J. Content analysis of social media regarding obesity as a chronic disease. PeerJ Comput. Sci. 2023;9:e1321. doi: 10.7717/peerj-cs.1321. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 68.Yu L., Jiang W., Ren Z., Xu S., Zhang L., Hu X. Detecting changes in attitudes toward depression on Chinese social media: A text analysis. Pt AJ Affect. Disord. 2021;280:354–363. doi: 10.1016/j.jad.2020.11.040. [DOI] [PubMed] [Google Scholar]
- 69.Nasralah T., El-Gayar O., Wang Y. Social Media Text Mining Framework for Drug Abuse: Development and Validation Study With an Opioid Crisis Case Analysis. J. Med. Internet Res. 2020;22:e18350. doi: 10.2196/18350. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 70.Zolnoori M., Fung K.W., Fontelo P., Kharrazi H., Faiola A., Wu YS S., Stoffel V., Patrick T. Identifying the Underlying Factors Associated With Patients’ Attitudes Toward Antidepressants: Qualitative and Quantitative Analysis of Patient Drug Reviews. JMIR Ment. Health. 2018;5:e10726. doi: 10.2196/10726. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 71.Babu N.V., Kanaga E.G.M. Sentiment Analysis in Social Media Data for Depression Detection Using Artificial Intelligence: A Review. SN Comput. Sci. 2022;3:74. doi: 10.1007/s42979-021-00958-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 72.Skafle I., Nordahl-Hansen A., Quintana D.S., Wynn R., Gabarron E. Misinformation About COVID-19 Vaccines on Social Media: Rapid Review. J. Med. Internet Res. 2022;24:e37367. doi: 10.2196/37367. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 73.Spitale G., Biller-Andorno N., Germani F. Concerns Around Opposition to the Green Pass in Italy: Social Listening Analysis by Using a Mixed Methods Approach. J. Med. Internet Res. 2022;24:e34385. doi: 10.2196/34385. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 74.The Guardian TGA Investigates Influencers after Diabetes Drug Ozempic Promoted as Weight-Loss Treatment. [(accessed on 11 August 2023)]. Available online: https://www.theguardian.com/australia-news/2023/jan/06/tga-investigates-influencers-after-diabetes-drug-ozempic-promoted-as-weight-loss-treatment.
- 75.The Independent Jameela Jamil Calls Out ‘Extreme’ Weight Loss at Oscars Amid Ozempic Controversy. [(accessed on 11 August 2023)]. Available online: https://www.independent.co.uk/life-style/ozempic-weight-loss-jameela-jamil-oscars-b2300525.html.
- 76.Bour C., Ahne A., Schmitz S., Perchoux C., Dessenne C., Fagherazzi G. The Use of Social Media for Health Research Purposes: Scoping Review. J. Med. Internet Res. 2021;23:e25736. doi: 10.2196/25736. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 77.Vandenbosch L., Fardouly J., Tiggemann M. Social media and body image: Recent trends and future directions. Curr. Opin. Psychol. 2022;45:101289. doi: 10.1016/j.copsyc.2021.12.002. [DOI] [PubMed] [Google Scholar]
- 78.Hallward L., Feng O., Duncan L.R. An exploration and comparison of #BodyPositivity and #BodyNeutrality content on TikTok. Eat Behav. 2023;50:101760. doi: 10.1016/j.eatbeh.2023.101760. [DOI] [PubMed] [Google Scholar]
- 79.TGA about the Ozempic (Semaglutide) Shortage 2022 and 2023. [(accessed on 11 August 2023)]; Available online: https://www.tga.gov.au/safety/shortages/information-about-major-medicine-shortages/about-ozempic-semaglutide-shortage-2022-and-2023.
- 80.Davey Z., Schifano F., Corazza O., Deluca P., Psychonaut Web Mapping Group e-Psychonauts: Conducting research in online drug forum communities. J. Ment. Health. 2012;21:386–394. doi: 10.3109/09638237.2012.682265. [DOI] [PubMed] [Google Scholar]
- 81.Orsolini L., Papanti G.D., Francesconi G., Schifano F. Mind navigators of chemicals’ experimenters? A web-based description of e-psychonauts. Cyberpsychol Behav. Soc. Netw. 2015;18:296–300. doi: 10.1089/cyber.2014.0486. [DOI] [PubMed] [Google Scholar]
- 82.Grifell M., Mir Fuster G., Ventura Vilamala M., Galindo Guarín L., Carbón Mallol X., Hart C.L., Pérez Sola V., Colom Victoriano F. Self-reported Subjective Effects of Analytically Confirmed New Psychoactive Substances Consumed by e-Psychonauts: Protocol for a Longitudinal Study Using a New Internet-Based Methodology. JMIR Res. Protoc. 2021;10:e24433. doi: 10.2196/24433. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 83.Mavragani A. Infodemiology and Infoveillance: Scoping Review. J. Med. Internet Res. 2020;22:e16206. doi: 10.2196/16206. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 84.Barros J.M., Duggan J., Rebholz-Schuhmann D. The Application of Internet-Based Sources for Public Health Surveillance (Infoveillance): Systematic Review. J. Med. Internet Res. 2020;22:e13680. doi: 10.2196/13680. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 85.Singer M., Bulled N., Ostrach B., Mendenhall E. Syndemics and the biosocial conception of health. Lancet. 2017;389:941–950. doi: 10.1016/S0140-6736(17)30003-X. [DOI] [PubMed] [Google Scholar]
- 86.Tewahade S., Berrigan D., Slotman B., Stinchcomb D.G., Sayer R.D., Catenacci V.A., Ostendorf D.M. Impact of the built, social, and food environment on long-term weight loss within a behavioral weight loss intervention. Obes. Sci. Pract. 2022;9:261–273. doi: 10.1002/osp4.645. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 87.Thomas M.K., Lammert L.J., Beverly E.A. Food Insecurity and its Impact on Body Weight, Type 2 Diabetes, Cardiovascular Disease, and Mental Health. Curr. Cardiovasc. Risk Rep. 2021;15:15. doi: 10.1007/s12170-021-00679-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 88.Leone T., Coast E., Narayanan S., de Graft Aikins A. Diabetes and depression comorbidity and socio-economic status in low and middle income countries (LMICs): A mapping of the evidence. Glob. Health. 2012;8:39. doi: 10.1186/1744-8603-8-39. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 89.Vasilj I., Vasilj M., Babić D., Curić I., Sarić B., Sarić B., Pehar D., Martinac M., Bevanda M. The impact of socio-economic processes on the health of the adult population. Psychiatr. Danub. 2014;26((Suppl. S2)):387–394. [PubMed] [Google Scholar]
- 90.Cooper D.H., Ramachandra R., Ceban F., Di Vincenzo J.D., Rhee T.G., Mansur R.B., Teopiz K.M., Gill H., Ho R., Cao B., et al. Glucagon-like peptide 1 (GLP-1) receptor agonists as a protective factor for incident depression in patients with diabetes mellitus: A systematic review. J. Psychiatr. Res. 2023;164:80–89. doi: 10.1016/j.jpsychires.2023.05.041. [DOI] [PubMed] [Google Scholar]
- 91.Kim Y.K., Kim O.Y., Song J. Alleviation of Depression by Glucagon-Like Peptide 1 Through the Regulation of Neuroinflammation, Neurotransmitters, Neurogenesis, and Synaptic Function. Front. Pharmacol. 2020;11:1270. doi: 10.3389/fphar.2020.01270. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 92.Pozzi M., Mazhar F., Peeters G.G.A.M., Vantaggiato C., Nobile M., Clementi E., Radice S., Carnovale C. A systematic review of the antidepressant effects of glucagon-like peptide 1 (GLP-1) functional agonists: Further link between metabolism and psychopathology: Special Section on “Translational and Neuroscience Studies in Affective Disorders”. J. Affect. Disord. 2019;257:S0165-0327(19)30593-2. doi: 10.1016/j.jad.2019.05.044. [DOI] [PubMed] [Google Scholar]
- 93.Mehdi S.F., Pusapati S., Anwar M.S., Lohana D., Kumar P., Nandula S.A., Nawaz F.K., Tracey K., Yang H., LeRoith D., et al. Glucagon-like peptide-1, a multi-faceted anti-inflammatory agent. Front. Immunol. 2023;14:1148209. doi: 10.3389/fimmu.2023.1148209. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 94.Kuckuck S., van der Valk E.S., Scheurink A.J.W., van der Voorn B., Iyer A.M., Visser J.A., Delhanty P.J.D., van den Berg S.A.A., van Rossum E.F.C. Glucocorticoids, stress and eating: The mediating role of appetite-regulating hormones. Obes. Rev. 2023;24:e13539. doi: 10.1111/obr.13539. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 95.Rzepczyk S., Dolińska-Kaczmarek K., Uruska A., Żaba C. The Other Face of Insulin-Overdose and Its Effects. Toxics. 2022;10:123. doi: 10.3390/toxics10030123. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 96.Garcia-Rizo C., Kirkpatrick B., Fernandez-Egea E., Oliveira C., Bernardo M. Abnormal glycemic homeostasis at the onset of serious mental illnesses: A common pathway. Psychoneuroendocrinology. 2016;67:70–75. doi: 10.1016/j.psyneuen.2016.02.001. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 97.Conti C., Mennitto C., Di Francesco G., Fraticelli F., Vitacolonna E., Fulcheri M. Clinical Characteristics of Diabetes Mellitus and Suicide Risk. Front. Psychiatry. 2017;8:40. doi: 10.3389/fpsyt.2017.00040. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 98.Tabb K.M., Perez-Flores N., Wang Y., Huang H. The burden of suicidal ideation among persons with type II diabetes: A scoping review. J. Psychosom. Res. 2017;103:113–118. doi: 10.1016/j.jpsychores.2017.10.009. [DOI] [PubMed] [Google Scholar]
- 99.Sher L. Prevention of suicidal behavior in diabetes: The role of primary care. QJM. 2022;115:789–792. doi: 10.1093/qjmed/hcac173. [DOI] [PubMed] [Google Scholar]
- 100.Martins L.B., Braga Tibães J.R., Berk M., Teixeira A.L. Diabetes and mood disorders: Shared mechanisms and therapeutic opportunities. Int. J. Psychiatry Clin. Pract. 2022;26:183–195. doi: 10.1080/13651501.2021.1957117. [DOI] [PubMed] [Google Scholar]
- 101.Amiri S., Behnezhad S. Body mass index and risk of suicide: A systematic review and meta-analysis. J. Affect. Disord. 2018;238:615–625. doi: 10.1016/j.jad.2018.05.028. [DOI] [PubMed] [Google Scholar]
- 102.Klinitzke G., Steinig J., Blüher M., Kersting A., Wagner B. Obesity and suicide risk in adults—A systematic review. J. Affect. Disord. 2013;145:277–284. doi: 10.1016/j.jad.2012.07.010. [DOI] [PubMed] [Google Scholar]
- 103.Park H., Lee K. The relationship between metabolically healthy obesity and suicidal ideation. J. Affect. Disord. 2021;292:369–374. doi: 10.1016/j.jad.2021.05.101. [DOI] [PubMed] [Google Scholar]
- 104.Nauck M.A., Quast D.R., Wefers J., Pfeiffer A.F.H. The evolving story of incretins (GIP and GLP-1) in metabolic and cardiovascular disease: A pathophysiological update. Diabetes Obes. Metab. 2021;23((Suppl. S3)):5–29. doi: 10.1111/dom.14496. [DOI] [PubMed] [Google Scholar]
- 105.Kabahizi A., Wallace B., Lieu L., Chau D., Dong Y., Hwang E.S., Williams K.W. Glucagon-like peptide-1 (GLP-1) signalling in the brain: From neural circuits and metabolism to therapeutics. Br. J. Pharmacol. 2022;179:600–624. doi: 10.1111/bph.15682. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 106.Chand S.P., Arif H. StatPearls. StatPearls Publishing; Treasure Island, FL, USA: 2023. Depression. [Google Scholar]
- 107.Hasegawa A., Somatori K., Nishimura H., Hattori Y., Kunisato Y. Depression, Rumination, and Impulsive Action: A Latent Variable Approach to Behavioral Impulsivity. J. Psychol. 2021;155:717–737. doi: 10.1080/00223980.2021.1956871. [DOI] [PubMed] [Google Scholar]
- 108.Hellberg S.N., Abramowitz J.S., Ojalehto H.J., Butcher M.W., Buchholz J.L., Riemann B.C. Co-occurring depression and obsessive-compulsive disorder: A dimensional network approach. J. Affect. Disord. 2022;317:417–426. doi: 10.1016/j.jad.2022.08.101. [DOI] [PubMed] [Google Scholar]
- 109.Zhou H.X., Chen X., Shen Y.Q., Li L., Chen N.X., Zhu Z.C., Castellanos F.X., Yan C.G. Rumination and the default mode network: Meta-analysis of brain imaging studies and implications for depression. Neuroimage. 2020;206:116287. doi: 10.1016/j.neuroimage.2019.116287. [DOI] [PubMed] [Google Scholar]
- 110.Anderberg R.H., Richard J.E., Hansson C., Nissbrandt H., Bergquist F., Skibicka K.P. GLP-1 is both anxiogenic and antidepressant; divergent effects of acute and chronic GLP-1 on emotionality. Psychoneuroendocrinology. 2016;65:54–66. doi: 10.1016/j.psyneuen.2015.11.021. [DOI] [PubMed] [Google Scholar]
- 111.Tsai W.H., Sung F.C., Chiu L.T., Shih Y.H., Tsai M.C., Wu S.I. Decreased Risk of Anxiety in Diabetic Patients Receiving Glucagon-like Peptide-1 Receptor Agonist: A Nationwide, Population-Based Cohort Study. Front. Pharmacol. 2022;13:765446. doi: 10.3389/fphar.2022.765446. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 112.Zhu C., Li H., Kong X., Wang Y., Sun T., Wang F. Possible Mechanisms Underlying the Effects of Glucagon-Like Peptide-1 Receptor Agonist on Cocaine Use Disorder. Front. Pharmacol. 2022;13:819470. doi: 10.3389/fphar.2022.819470. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 113.Chuong V., Farokhnia M., Khom S., Pince C.L., Elvig S.K., Vlkolinsky R., Marchette R.C., Koob G.F., Roberto M., Vendruscolo L.F., et al. The glucagon-like peptide-1 (GLP-1) analogue semaglutide reduces alcohol drinking and modulates central GABA neurotransmission. JCI Insight. 2023;8:e170671. doi: 10.1172/jci.insight.170671. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 114.Eren-Yazicioglu C.Y., Yigit A., Dogruoz R.E., Yapici-Eser H. Can GLP-1 Be a Target for Reward System Related Disorders? A Qualitative Synthesis and Systematic Review Analysis of Studies on Palatable Food, Drugs of Abuse, and Alcohol. Front. Behav. Neurosci. 2021;14:614884. doi: 10.3389/fnbeh.2020.614884. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 115.Klausen M.K., Thomsen M., Wortwein G., Fink-Jensen A. The role of glucagon-like peptide 1 (GLP-1) in addictive disorders. Br. J. Pharmacol. 2022;179:625–641. doi: 10.1111/bph.15677. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 116.Blundell J., Finlayson G., Axelsen M., Flint A., Gibbons C., Kvist T., Hjerpsted J.B. Effects of once-weekly semaglutide on appetite, energy intake, control of eating, food preference and body weight in subjects with obesity. Diabetes Obes. Metab. 2017;19:1242–1251. doi: 10.1111/dom.12932. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 117.Hernandez N.S., Schmidt H.D. Central GLP-1 receptors: Novel molecular targets for cocaine use disorder. Physiol. Behav. 2019;206:93–105. doi: 10.1016/j.physbeh.2019.03.026. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 118.Sun W., Kober H. Regulating food craving: From mechanisms to interventions. Physiol. Behav. 2020;222:112878. doi: 10.1016/j.physbeh.2020.112878. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 119.Brierley D.I., Holt M.K., Singh A., de Araujo A., McDougle M., Vergara M., Afaghani M.H., Lee S.J., Scott K., Maske C., et al. Central and peripheral GLP-1 systems independently suppress eating. Nat. Metab. 2021;3:258–273. doi: 10.1038/s42255-021-00344-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 120.Banks D.L., House L., Killourhy K. Cherry-picking for complex data: Robust structure discovery. Philos. Trans. A Math. Phys. Eng. Sci. 2009;367:4339–4359. doi: 10.1098/rsta.2009.0119. [DOI] [PubMed] [Google Scholar]
- 121.Morse J.M. “Cherry picking”: Writing from thin data. Qual. Health Res. 2010;20:3. doi: 10.1177/1049732309354285. [DOI] [PubMed] [Google Scholar]
- 122.Ruksakulpiwat S., Kumar A., Ajibade A. Using ChatGPT in Medical Research: Current Status and Future Directions. J. Multidiscip. Healthc. 2023;16:1513–1520. doi: 10.2147/JMDH.S413470. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 123.Golan R., Ripps S.J., Reddy R., Loloi J., Bernstein A.P., Connelly Z.M., Golan N.S., Ramasamy R. ChatGPT’s Ability to Assess Quality and Readability of Online Medical Information: Evidence From a Cross-Sectional Study. Cureus. 2023;15:e42214. doi: 10.7759/cureus.42214. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 124.Kim J.K., Chua M., Rickard M., Lorenzo A. ChatGPT and large language model (LLM) chatbots: The current state of acceptability and a proposal for guidelines on utilization in academic medicine. J Pediatr. Urol. 2023;19:598–604. doi: 10.1016/j.jpurol.2023.05.018. [DOI] [PubMed] [Google Scholar]
- 125.Blanco-González A., Cabezón A., Seco-González A., Conde-Torres D., Antelo-Riveiro P., Piñeiro Á., Garcia-Fandino R. The Role of AI in Drug Discovery: Challenges, Opportunities, and Strategies. Pharmaceuticals. 2023;16:891. doi: 10.3390/ph16060891. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 126.Salah M., Al Halbusi H., Abdelfattah F. May the force of text data analysis be with you: Unleashing the power of generative AI for social psychology research. Comput. Hum. Behav. 2023;1:100006. doi: 10.1016/j.chbah.2023.100006. [DOI] [Google Scholar]
- 127.Salvagno M., Taccone F.S., Gerli A.G. Can artificial intelligence help for scientific writing? Crit Care. 2023;27:75. doi: 10.1186/s13054-023-04380-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 128.Hill-Yardin E.L., Hutchinson M.R., Laycock R., Spencer S.J. A Chat(GPT) about the future of scientific publishing. Brain Behav. Immun. 2023;110:152–154. doi: 10.1016/j.bbi.2023.02.022. [DOI] [PubMed] [Google Scholar]
- 129.Ashraf H., Ashfaq H. The Role of ChatGPT in Medical Research: Progress and Limitations. Ann. Biomed. Eng. 2023 doi: 10.1007/s10439-023-03311-0. [DOI] [PubMed] [Google Scholar]
- 130.Emsley R. ChatGPT: These are not hallucinations—they’re fabrications and falsifications. Schizophrenia. 2023;9:52. doi: 10.1038/s41537-023-00379-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 131.Bhattacharyya M., Miller V.M., Bhattacharyya D., Miller L.E. High Rates of Fabricated and Inaccurate References in ChatGPT-Generated Medical Content. Cureus. 2023;15:e39238. doi: 10.7759/cureus.39238. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 132.Athaluri S.A., Manthena S.V., Kesapragada V.S.R.K.M., Yarlagadda V., Dave T., Duddumpudi R.T.S. Exploring the Boundaries of Reality: Investigating the Phenomenon of Artificial Intelligence Hallucination in Scientific Writing Through ChatGPT References. Cureus. 2023;15:e37432. doi: 10.7759/cureus.37432. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 133.Goddard J. Hallucinations in ChatGPT: A Cautionary Tale for Biomedical Researchers. Am. J. Med. 2023;136:1059–1060. doi: 10.1016/j.amjmed.2023.06.012. [DOI] [PubMed] [Google Scholar]
- 134.McGowan A., Gui Y., Dobbs M., Shuster S., Cotter M., Selloni A., Goodman M., Srivastava A., Cecchi G.A., Corcoran C.M. ChatGPT and Bard exhibit spontaneous citation fabrication during psychiatry literature search. Psychiatry Res. 2023;326:115334. doi: 10.1016/j.psychres.2023.115334. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 135.Algarni M.A., Algarni A.A.M., Alqarni W.A., Alqassim A.Y. Knowledge and Attitude of the General Population in Saudi Arabia Toward Weight Management Medications (WMMs): A Cross-Sectional Study. Cureus. 2023;15:e42875. doi: 10.7759/cureus.42875. [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Data Availability Statement
The data that support the findings of this study are available from the corresponding author upon reasonable request.