Prevalence of self-medication and associated factors among students of a Faculty of Health Sciences at a university in Pereira (Colombia) in 2021
Prevalencia de la automedicación y factores asociados en estudiantes universitarios de una Facultad de Ciencias de la Salud en Pereira (Colombia) durante 2021
Óscar
Felipe Suárez-Brochero¹
;
María Camila Rojas-Ramírez¹
; Michael
Fernando Agudelo-Murillo¹
¹ Universidad Tecnológica de Pereira, Colombia.
Correo de correspondencia: oscar.suarez@utp.edu.co
Fecha de recibido: 25 de septiembre de 2023 - Fecha de aceptado: 26 de enero de 2025
ISSN: 0121-0319 | eISSN: 1794-5240
Abstract:
Background: self-administration of medications is the use of drugs without medical advice. Objective: determine the prevalence of self-medication and its associated factors in students of a health sciences students at a university in Pereira (Colombia) in 2021. Methods: Cross-sectional study in students identified by self-selection using a virtual form, which asked about sociodemographic and academic characteristics, self-medication practices, and the perception of the use of health services. A bivariate analysis was constructed and students who self-medicated were compared to those who did not; a multiple model trough Poisson regression was built with the significant variables (p<0.05). Results: of the 265 interviews, 57 % of them were women with a median age of 21 years; prevalence of self-medication was 89,4 %. The most frequent symptom reported during the last month was headache (67,2 %). Associated factors identified were: having familiar self-medication (PR=2,4; CI95 %=1,09-5,3), having sore throat (PR=1,11; CI95 %=1,05-1,18) or diarrhea (PR=1,08; CI95 %=1,03-1,14), to study advanced semesters (PR=1,15; CI95 %=1,04-1,26), to trust health facilities (PR=0,83; CI95 %=0,75-0,93) and having been a woman (PR=0,91; CI95 %=0,84-0,99). Conclusions: self-medication was reported in almost 90 % of participants. We suggest to adjust risk perception of this practice in students of careers other than Medicine or students of initial semesters.
Keywords: self-medication; drug misuse; pharmacoepidemiology; nonprescription drugs; Colombia; students.
Resumen:
Introducción: la autoadministración de medicamentos es la utilización de fármacos sin consejo médico. Objetivo: determinar la prevalencia de la automedicación y describir sus factores asociados en estudiantes de una Facultad de Ciencias de la Salud en Pereira (Colombia) durante 2021. Materiales y métodos: estudio transversal en estudiantes identificados por autoselección mediante formulario virtual en el cual se preguntó por características sociodemográficas y académicas, prácticas de automedicación y la percepción sobre el uso de servicios de salud. Se construyó un análisis bivariado para comparar los estudiantes que se automedican de aquellos que no; se construyó un modelo múltiple a través de una regresión de Poisson con las variables significativas (p<0,05). Resultados: el 57 % de los 265 encuestados fueron mujeres con una mediana de edad de 21 años; la prevalencia de automedicación fue del 89,4 %. El síntoma más frecuente durante el último mes fue la cefalea (67,2 %). Los factores asociados identificados fueron: automedicación familiar (RP=2,4; IC95 %=1,09-5,3), síntomas como dolor de garganta (RP=1,11; IC95 %=1,05-1,18) o diarrea (RP=1,08; IC95 %=1,03-1,14), cursar semestres avanzados (RP=1,15; IC95 %=1,04-1,26), manifestar confianza en el prestador de servicios de salud (RP=0,83; IC95 %=0,75-0,93) y ser mujer (RP=0,91; IC95 %=0,84-0,99). Conclusiones: cerca del 90 % de los participantes se automedicó, es importante que se ajuste la percepción del riesgo de esta práctica en estudiantes de carreras diferentes a Medicina o estudiantes de semestres iniciales.
Palabras clave: automedicación; abuso de medicamentos; farmacoepidemiología; medicamentos sin prescripción; Colombia; estudiantes.
Introduction
Self-medication is a common practice that lacks a single, universally accepted definition. It has been described in relation to the acquisition of medications, the absence of healthcare professionals in prescribing them, and the purposes for which individuals choose to self-medicate1. According to the World Health Organization (WHO), self-medication aims to prevent, relieve, or treat symptoms or conditions that individuals can identify themselves, and is related to the concept of self-care2. However, this habit entails the deliberate use of medications without necessarily understanding the risks involved—such as symptom masking, delays in seeking professional care, incorrect therapeutic regimens, adverse drug reactions, and antimicrobial resistance—especially when it involves the self-prescription of medications that legally require a medical prescription3.
A meta-analysis that included approximately 61,000 university students in studies up to October 2017 found that the overall prevalence of self-medication among students was around 70 %; notably, the figure reached as high as 97 % among medical students4. An exploratory review identified 23 articles published between 2017 and 2021, indicating an upward trend in self-medication practices during the pandemic period. These studies highlight increased vulnerability among young individuals and report that the main sources of drug recommendations are family members, neighbors, friends, pharmaceutical advertising, websites, and social media platforms5.
Among 1,257 university students from various academic disciplines at the Université Jules Verne in France, 95 % reported self-medicating—rising to 97 % among health sector students6. In Pakistan, before the pandemic, self-medication was reported by up to 99 % of 300 surveyed medical students7. A 2021 Spanish study among nursing students found that 73,8 % had self-medicated in the past month; 28,9 % did so because they felt knowledgeable about the condition and its pharmacological treatment, while 25 % considered their ailment to be minor8. Similarly, a 2023 study in Iran among nursing students revealed that most self-medicated for minor illnesses based on personal or others’ experiences, and viewed the practice positively as it saved both time and money9.
According to data from the United States Food and Drug Administration (FDA), the most commonly overdosed medications include antipyretics and analgesics, followed by antidepressants, antipsychotics, and other drugs affecting the central nervous system10. Additionally, it has been reported that approximately 6 % of poisoning cases involve acetaminophen, and up to 55 % of acute liver failure cases are attributed to its misuse11. This highlights that pain is a major driver of self-medication and underscores the severe health risks not always perceived by vulnerable populations who face barriers to healthcare access12 and are frequently exposed to media pressure. It is noteworthy that up to one-third of televised pharmaceutical advertisements in Colombia have been found to violate current advertising regulations13.
In 2016, a study conducted in Bogotá, Colombia, among 276 medical students found a self-medication prevalence of 79,3 %. The most frequently used medications were acetaminophen (10,8 %) and ibuprofen (4 %); nearly 4 % of students self-prescribed antibiotics such as amoxicillin, azithromycin, or ampicillin14. The only available data on self-medication in Pereira pertains to the general population, where an estimated 39 % of adults over the age of 18 in urban areas practiced self-medication, with only 14 % expressing concern about potential adverse effects15.
Characterizing self-medication practices within a Faculty of Health Sciences is crucial in order to address associated factors from an institutional perspective. The objective of this study was to determine the prevalence of self-medication and to describe its associated factors among university students from a Faculty of Health Sciences in Pereira, Colombia, during 2021.
Materials and Methods
Study Design and Population
A cross-sectional observational study with analytical scope was conducted in 2021 involving students over the age of 18 enrolled in the Medicine, Veterinary Medicine, Sports and Recreation Sciences, and Prehospital Care Technology programs of a Faculty of Health Sciences at a university in Pereira, Colombia. Participation was voluntary and contingent upon informed consent. No exclusion criteria were applied. The sample was non-representative, as participation was based on self-selection. Data collection was conducted over a two-month period between August and September 2021.
Data Collection Techniques and Instruments
An online survey —previously piloted and including informed consent—was used to gather information on sociodemographic variables (such as age, sex, insurance status, place of origin, socioeconomic level, family income, and access to public services) and academic characteristics (academic program and semester). Additionally, questions addressed patterns of medication use, type of medication consumed, reasons for consumption, and use of health services. Given the broad definition of the event and the lack of a standardized measurement period in the literature, self-medication was operationally defined as the consumption of any medication without a prescription in the three months prior to the survey. The questionnaire was distributed via Google Forms to institutional email addresses authorized by the Faculty Council (following approval by the Ethics Committee). Authorization was obtained to contact 2,030 students through their institutional emails, which were managed confidentially by the research team for the purposes of this project.
Data Analysis
Data analysis involved reporting means and standard deviations or medians and interquartile ranges, depending on adherence to a normal distribution as determined by the Shapiro-Wilk test. Frequencies were used for qualitative variables. Socioeconomic status was categorized into three levels (low – medium – high), income was classified as either below or equal to/above four times the legal monthly minimum wage (SMMLV), and academic semester was grouped into the following categories: semesters 1–3, 4–6, 7–9, and 10–13. The main dependent variable for bivariate analysis was the history of self-medication. To identify statistically significant differences between groups (self-medication vs. no self-medication), proportions were compared using the Chi-square test when all expected values in contingency tables were greater than 5; otherwise, Fisher’s exact test was used. Student’s t-test was used for comparing means, while the Mann–Whitney U test was employed to compare medians. Due to the frequency of the self-medication event, a Poisson regression model was constructed to estimate prevalence ratios for variables with p ≤ 0.05 in the bivariate analysis, as well as for those variables considered potential confounders. A parsimonious multivariate model was built using the backward-stepwise method. Data analysis was performed using Stata v14 (StataCorp, Texas, USA).
Ethical Considerations
According to Article 11 of Resolution 8430 of 1993, this study was categorized as “risk-free.” Data collection was conducted in accordance with Law 1581 of 2012 regarding the protection of sensitive data and its regulatory decrees. The project was reviewed and approved by the Research Ethics Committee of the participating university. Finally, the results of the study were duly communicated to the participants as part of the research feedback process.
Results
Data were collected from 265 students who voluntarily participated in the online survey. The median age was 21 years, and 57 % were women. In terms of academic program distribution, 41 % were from Medicine, 27 % from Sports and Recreation Sciences, 19 % from Veterinary Medicine, and the remaining from the Prehospital Care Technology (PCT) program. Sixty-seven percent of students were enrolled in the first six semesters of their respective programs. Gender distribution showed a higher participation of women in the PCT (75 %) and Veterinary Medicine (65 %) programs. Sixty-nine percent of students were affiliated with the contributory healthcare regime. Additional univariate information is presented in Table 1.
Table 1. Sociodemographic characteristics of students in the Faculty of Health Sciences. 2021.
Characteristic |
Total |
With self-medication |
Without self-medication |
p-value |
(n=265) |
(n=237) 89,4 % |
(n=28) 10,6 % |
||
Median Age (IQR) |
21 años (19-23) |
21 (19-23) |
21 (18,5-24) |
0,539 |
Female sex |
153 (57,7 %) |
143 (60,3 %) |
10 (35,7 %) |
0,013 |
Health regime: |
|
|
|
|
Subsidized |
81 (30,5 %) |
69 (29,1 %) |
12 (42,8 %) |
0,135 |
Contributory |
184 (69,4 %) |
168 (70.8 %) |
16 (51,1 %) |
|
Academic Program: |
|
|
|
|
Medicine |
109 (41,1 %) |
102 (43,0 %) |
7 (25,0 %) |
0,105 |
Sports Science and Recreation |
72 (27,1 %) |
60 (25,3 %) |
12 (42,8 %) |
|
TAPH (Pre-hospital Care Technology) |
32 (12,0 %) |
27 (11,3 %) |
5 (17,8 %) |
|
Veterinary Medicine |
52 (19,6 %) |
48 (20,2 %) |
4 (14,2 %) |
|
Semester: |
|
|
|
|
Semester I - III |
85 (32,0 %) |
71 (29,9 %) |
14 (50 %) |
0,147 |
Semester IV - VI |
93 (35,0 %) |
84 (35,4 %) |
9 (32,1 %) |
|
Semester VII - IX |
50 (18,8 %) |
47 (19,8 %) |
3 (10,7 %) |
|
Semester X - XIII |
37 (13,9 %) |
35(14,7 %) |
2 (7,14 %) |
|
City of residence: |
|
|
|
|
Pereira |
155 (58,49 %) |
138 (58,23 %) |
17 (60,71 %) |
0,196 |
Dosquebradas |
46 (17,36 %) |
40 (16,88 %) |
6 (21,43 %) |
|
Santa Rosa de Cabal |
13 (4,91 %) |
10 (4,22 %) |
3 (10,71 %) |
|
Other areas in Risaralda |
21 (7,92 %) |
19 (6,75 %) |
2 (7,14 %) |
|
Other locations outside Risaralda |
30 (11,34 %) |
30 (12,65 %) |
0 (0 %) |
|
Health service provider in the city of residence |
228 (86,36 %) |
206 (87,29 %) |
22 (78,57 %) |
0,204 |
Socioeconomic stratum: |
|
|
|
|
Low-low (1) - Low (2) |
109 (41,13 %) |
94 (41,13 %) |
15 (50,57 %) |
0,191 |
Low-middle (3) – Middle (4) |
133 (50,19) |
127 (50,64 %) |
13 (46,43 %) |
|
Middle-high (5) - High (6) |
23 (8,68 %) |
23 (9,7 %) |
0 (0,0 %) |
|
Family income greater than 4 SMMLV |
72 (27,17 %) |
68 (28,69 %) |
4 (14,28 %) |
0,105 |
Access to: |
|
|
|
|
Potable water |
259 (97,74 %) |
232 (97,89 %) |
27 (96,43 %) |
0,623 |
Electricity |
250 (94,34 %) |
225 (94,94 %) |
25 (89,29 %) |
0,221 |
Gas |
256 (96,60 %) |
228 (96,20 %) |
28 (100 %) |
0,294 |
Sewage services |
249 (93,96 %) |
224 (94,51 %) |
25 (89,29 %) |
0,272 |
Radio |
247 (93,21 %) |
222 (93,67 %) |
25 (89,29 %) |
0,383 |
Internet |
250 (94,34 %) |
225 (94,94 %) |
25 (89,29 %) |
0,221 |
TAPH: Prehospital Care Technology. SMMLV: Current Legal Monthly
Minimum Wages. IPS: Health Service Provider Institution.
Source: Authors.
Among the surveyed students, 89,4 % reported having self-medicated. Of these, 92,7 % did so "by their own decision," while 65,4 % also indicated that the medication had previously been successfully prescribed by a physician. Additionally, 45,5 % stated that they self-medicated based on "recommendation from a friend, acquaintance, or family member" (see Table 2). The perception of the danger associated with self-medication was related to the type of medication used in 51,7 % of respondents. This distribution in perceived risk showed no significant differences between those who self-medicated and those who reported not doing so.
Table 2. Self-medication profile of students in the Faculty of Health Sciences. 2021.
Characteristic |
Total |
With self-medication |
Without self-medication |
p-value |
(n=265) |
(n=237) 89,4 % |
(n=28) 10,6 % |
||
Self-medication/self-prescription in any family member |
252 (95,8 %) |
231 (98,3 %) |
21 (75 %) |
≤0,001 |
Reuse of self-medicated/self-prescribed medication for any of the previous symptoms experienced |
|
|
|
≤0,001 |
No symptoms |
29 (11,03 %) |
21 (8,94 %) |
8 (28,57 %) |
|
Had symptoms, but did not self-medicate |
125 (47,53 %) |
108 (45,96 %) |
17 (60,71 %) |
|
Did self-medicate |
109 (41,44 %) |
106 (45,11 %) |
3 (10,71 %) |
|
Recommendation to others of medications previously self-medicated |
117 (44,15 %) |
113 (47,68 %) |
4 (14,29 %) |
≤0,001 |
Perception of the danger of self-medication/self-prescriptio |
|
|
|
0,443 |
None |
1 (0,38 %) |
1 (0,42 %) |
0 (0 %) |
|
Mild |
9 (3,40 %) |
9 (3,80 %) |
0 (0 %) |
|
Moderate |
41 (15,47 %) |
39 (16,46 %) |
2 (7,14 %) |
|
High |
77 (29,06 %) |
66 (27,85 %) |
11 (39,29 %) |
|
Depends on the medication |
137 (51,70 %) |
122 (51,48 %) |
15 (53,57 %) |
Source: Authors.
On the other hand, 4,2 % of the students who reported self-medicating stated that they do not seek medical attention, even in the presence of severe symptoms. The most frequently reported symptoms included headache (67,2 %), anxiety, depression, or insomnia (51,3 %), and menstrual pain (44,9 %). The factors associated with this practice are presented in Table 3.
Table 3. Perceived need and barriers to accessing healthcare services among students of the Faculty of Health Sciences. 2021.
Characteristic
|
Total |
With self-medication (n=237) 89,4 % |
Without self-medication |
p-value |
(n= 265) |
(n=28) 10,6 % |
|||
Sore throat |
40 (15,09 %) |
40 (16,88 %) |
0 (0 %) |
0,018 |
Diarrhea |
42 (15,85 %) |
42 (17,72 %) |
0 (0 %) |
0,015 |
Joint or muscle pain |
94 (35,61 %) |
88 (37,29 %) |
6 (21,43 %) |
0,098 |
Heartburn or stomach pain |
89 (33,71 %) |
84 (35,59 %) |
5 (17,86 %) |
0,061 |
Urinary tract infections |
11 (4,17 %) |
8 (3,39 %) |
3 (10,71 %) |
0,067 |
The last time you went to buy medication, were you asked for a prescription? |
30 (11,36 %) |
22 (9,32 %) |
8 (28,57 %) |
0,002 |
Number of times you have visited a doctor in the last month: |
|
|
|
0,6 |
0 times |
151 (56,98 %) |
134 (56,54 %) |
17 (60,71 %) |
|
1-2 times |
105 (39,62 %) |
96 (40,51 %) |
9 (32,14 %) |
|
3-4 times |
5 (1,89 %) |
4 (1,69 %) |
1 (3,57 %) |
|
5 or more times |
4 (1,51 %) |
3 (1,27 %) |
1 (3,57 %) |
|
When you decide not to go to the doctor, it is because of: |
|
|
|
|
Lack of time |
111 (42,05 %) |
101 (42,80 %) |
10 (35,71 %) |
0,473 |
Lack of money |
48 (18,11 %) |
40 (16,88 %) |
8 (28,57 %) |
0,129 |
Lack of affiliation to any EPS (Health Promotion Entity) |
67 (25,48 %) |
56 (23,73 %) |
11 (40,74 %) |
0,055 |
Lack of trust in healthcare services |
90 (34,22 %) |
72 (30,64 %) |
18 (64,29 %) |
≤0,001 |
You consider that your symptoms are irrelevant |
201 (75,85 %) |
180 (75,95 %) |
21 (75,0 %) |
0,912 |
Full and proper consumption of the treatment prescribed by the doctor |
|
|
|
|
213 (80,38 %) |
188 (79,32 %) |
25 (89,29 %) |
0,209 |
Source: Authors.
In the multivariate analysis, there is a higher likelihood of self-medication if this practice occurs within the family, if symptoms such as a sore throat or diarrhea are present, and a greater effect is observed in students enrolled in the final semesters. Additionally, this model highlights that maintaining trust in the healthcare provider and being female significantly decrease the likelihood of self-medication. The Poisson regression model is described in Table 4.
Table 4. Poisson regression model on factors associated with self-medication among students of the Faculty of Health Sciences. 2021.
Factor Associated Factor |
PR (IC95 %) |
p-value |
Female sex |
0,91 (0,84-0,99) |
0,044 |
Family self-medication |
2,4 (1,09-5,3) |
0,029 |
Trust in the healthcare provider |
0,83 (0,75-0,93) |
≤0,001 |
Sore throat |
1,11 (1,05-1,18) |
≤0,001 |
Diarrhea |
1,08 (1,03-1,14) |
≤0,001 |
Semester |
|
|
Semester I - III |
1 |
- |
Semester IV - VI |
1,07 (0,96-1,19) |
0,167 |
Semester VII - IX |
1,10 (0,99-1,23) |
0,053 |
Semester X - XIII |
1,15 (1,04-1,26) |
0,003 |
*PR: Prevalence ratio. *IC95 %: 95 % confidence interval.
Source: Authors.
Discussion
This study found that nearly 9 out of 10 students engage in self-medication. This is a high proportion compared to other studies involving university students in the health field. For example, at the University of Rosario, a prevalence of 79,3 %14 was reported among medical students in 2016; in Spain, between 2016 and 2017, a prevalence of 73,8 % was documented among nursing students8; while in Kathmandu (Nepal), a prevalence of 76 % was found among medical students16. However, this prevalence should not be extrapolated to all university students, as being part of the health field increases the likelihood of self-medication. A meta-analysis of university students showed that self-medication in non-health-related careers was 44,7 %, while in medical students it was 97,2 %4; this difference is also observed in Central American countries, as seen in Costa Rican university students, where self-medication frequency was reported at 57 %, increasing to 61 %17 among health science students.
The particularly high prevalence identified in this study is noteworthy, especially considering the restricted mobility and limited access to healthcare services due to the pandemic lockdown. In this context, a medical university in Pakistan recorded an 84 % prevalence of self-medication at the beginning of 202118.
It is consistent across various contexts and times that, despite university students being generally aware of the risks, they continue this practice for various reasons, including easy access to medications, financial constraints, the perception of mild illnesses, or considering symptoms as non-serious19–21, as well as in cases of chronic and difficult-to-manage conditions22. In our study, an association was also found between certain symptoms, such as sore throat and diarrhea, that increased the likelihood of self-medication.
In this regard, a Nepalese study of female medical and nursing students found that 18 % of self-medicated students did so because of diarrhea23. This article also showed that other gastrointestinal symptoms, such as abdominal pain (67 %), loss of appetite (34 %), or nausea (30 %), had an even higher frequency of self-medication. Another Nepalese study reported that diarrhea is a common symptom among all medical students, while self-medication for respiratory symptoms (such as a sore throat) only occurred in more advanced students, particularly due to knowledge of antibiotic use for presumed bacterial causes16.
It is important to mention that being female is a factor associated with self-medication, particularly due to gynecological and general symptoms related to the menstrual cycle. One of the Nepalese studies described evaluated students with dysmenorrhea symptoms, and among this population, 73 % of medical students reported self-medication, while only 44 % of nursing students did so23. Other authors from the same country documented self-medication in only 36 % of medical students with the same syndrome24. In the association between self-medication and gender, it is believed that some residual confounding phenomenon may exist, as women may be more likely to seek greater attention from healthcare services.
On the other hand, the factor most strongly associated with self-medication was the family history of self-medication. This finding is similar to that reported by a study on adolescents in Cartagena (Colombia), which showed that in nearly one-third of cases, the recommendation to self-medicate came from a family member, as beliefs and learning about this practice often originate within the family25. Similarly, in a study on family self-medication in Medellín (Colombia), it was shown that the primary sources of information were television or non-medical family members, who were more influenced by this medium26. In another Spanish study on university students, a higher prevalence of self-medication was found among students whose parents had lower educational levels, with no association found with their gender, age, or family income. A higher prevalence was also found in students with favorable opinions toward self-medication and whose parents engaged in it27.
It is presumed that the media have a negative impact on individuals and families who are accustomed to frequent self-medication practices13, which appear to resolve problems in the short term but generate long-term issues. However, in Mexico, it has been reported that the influence of the media is only 40 %, compared to the perceived efficacy of self-medication in resolving symptoms, which stands at 74 %28. The debate continues regarding whether the media should be better regulated to provide clear and safe information about the possibilities and risks of self-medication.
In addition to the media in the digital age, a study in Madrid showed that 61 % of individuals had used the internet as a source of health information, with a higher prevalence in populations with middle-high educational and socioeconomic levels. Furthermore, 53 % reported that the internet had changed their thinking and could even lead to changes in their lifestyle, particularly in individuals under 45 years old29. Thus, it is believed that greater internet access will lead to an increase in the tendency to seek health information online.
In this study, it was also found that trust in healthcare services is a protective factor against self-medication. In this regard, a study in Bogotá observed that 13,8 % of the general population reported not seeking healthcare services due to lack of trust in doctors and/or medications30, while in Peru, a study found that the main reason for self-medication was the belief that people "already know what doctors prescribe"31 for their problems, related to the belief that doctors prescribe the same treatments.
Finally, it is worth mentioning that this study was conducted during the COVID-19 lockdown, which likely restricted student participation to just 13 % of the total population of the faculty. It should also be noted that self-medication was defined over a three-month period in this study, which may have led to some overestimation of prevalence. Additionally, the self-selection of participants may have contributed to a higher prevalence, as students familiar with these practices may have been more willing to participate.
Conclusions
In conclusion, this study found a high prevalence of self-medication (89,4 %) among students in a Colombian health sciences faculty. The factors associated with this practice were family history of self-medication, being in advanced semesters, and presenting symptoms such as sore throat or diarrhea. Additionally, factors that decreased the likelihood of self-medication included 1) trust in healthcare providers and 2) being female. There is a need for educational interventions, both at the population and institutional levels, to identify risky practices without losing the benefits of self-medication, particularly for professionals who are trained in the responsible use of medications.
Funding
This study was self-funded and has no conflicts of interest.
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