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Revista de la Facultad de Medicina Humana
versión impresa ISSN 1814-5469versión On-line ISSN 2308-0531
Rev. Fac. Med. Hum. vol.24 no.3 Lima jul./set. 2024 Epub 28-Jun-2024
http://dx.doi.org/10.25176/rfmh.v24i3.6457
Original article
Weight stigma and its association with nutritional status in students of health careers at a private university in the region of Ñuble, Chile
1Faculty of Health Sciences, Universidad Adventista de Chile. Chillán, Chile.
Introduction:
Obesity and overweight are public health problems with important psychological and social consequences, such as weight stigma. According to WHO, 69% of adults with obesity experience stigma from health professionals. However, there are few studies on this stigma in Chile. People with a normal BMI tend to view those with obesity negatively, while those with obesity tend to be more compassionate towards others in the same situation, which reduces stigma.
Objective:
To relate nutritional status (BMI) and the level of weight stigma in university students of health careers in the region of Ñuble, Chile.
Methodology:
Observational cross-sectional design. The GAMS-27 scale was applied to assess weight stigma and BMI to evaluate the nutritional status of 156 students of health careers. Chi2 tests of independence and binary logistic regression were applied to evaluate the association between the variables, with the R statistical package version 4.3.0.
Results:
A statistically significant association was found between weight stigma and nutritional status (p=0.0145). Presenting normal BMI (p=0.0163) and being female (p=0.0156) were associated with a higher probability of presenting weight bias.
Conclusions:
The present study identified a statistically significant association between weight stigma and nutritional status in college students. It is vital to promote education regarding weight stigma in college students to avoid bias and improve respect for future users.
Keywords: weight stigma; nutritional status; health area students. (Source: MeSH NLM)
INTRODUCTION
Obesity and overweight are significant public health issues globally1. Currently, it is estimated that over one billion people worldwide are overweight according to their body mass index (BMI), while approximately 650 million are diagnosed with obesity2. In Chile, according to data from the National Health Survey (ENS, by its Spanish acronym) 2016-2017, 31.2% of adults are obese, while 3.2% are classified as morbidly obese, and 39.8% are overweight1.
This growing epidemic of obesity not only brings physical complications but also entails significant psychological and social effects, among which weight stigma stands out3. A WHO report indicates that 54% of adults with obesity report being stigmatized by their coworkers, and 69% of adults with obesity report experiences of stigma from healthcare professionals3. Weight stigma refers to the discrimination, prejudice, and social stigmatization experienced by individuals with excessive malnutrition, with severe implications for their mental and physical well-being, including decreased self-esteem, depression, anxiety, and even social exclusion4.
In the Chilean context, although there is legislation prohibiting discrimination, weight stigma is not considered a protected aspect5. The adoption of measures to safeguard the rights of people with overweight and obesity is crucial to prevent injustice and harm arising from stigma5-6.
An important aspect in the study of weight stigma is the perception people have of their own body and that of others. It has been observed that individuals with a normal BMI tend to perceive those with overweight or obesity as lazy or sedentary, with a lack of willpower or self-discipline, which contributes to negative stereotypes7. Previous research suggests that those diagnosed with obesity tend to have a more compassionate view toward individuals with the same body condition, which is associated with a lower level of weight stigma8.
Weight stigma, besides impacting the quality of life of people with obesity, also involves those who work or study in the health field. In Chile, research on weight stigma among health students is still limited. Some studies have revealed high levels of stigma and discrimination towards people with obesity among Nursing, Medicine, and Nutrition and Dietetics students9-11. These findings are concerning, as they could negatively influence the quality of care and treatment that future health professionals provide to those with excessive malnutrition. Therefore, the objective of this study is to examine the association between weight stigma and nutritional status among health students at a private university in the Ñuble region, Chile.
MATERIALS AND METHODS
Study Design
Observational cross-sectional design. The research adheres to the Strengthening the Reporting of Observational studies in Epidemiology (STROBE) guidelines12.
Participants
A study was conducted with 156 participants, who were students from various health-related fields (Chemistry and Pharmacy, Nutrition and Dietetics, Obstetrics and Childcare, Nursing, and Occupational Therapy) to evaluate a statistically significant correlation between the variables of nutritional status and weight stigma of at least 0.334 as reported by Bastías et al., 202213; with a statistical power of 80% and a confidence level of 95%. The sample selection was through probabilistic cluster sampling, based on the theoretical classrooms of the health sciences faculty, excluding laboratories. Each classroom was randomly selected, and all students present in the classroom at that time were invited to participate.
Regular students, of different academic levels, of both sexes, and of any nationality were included. Exclusion criteria were students in professional practice internships, students with a history of bariatric surgery, and self-reported eating disorders (ED) to avoid potential biases in the study results7. Each selected subject who wanted to participate in the study signed an informed consent, indicating the voluntary nature of their participation, the study's objective, measurement methods, application tools, and potential risks of the measurements. Additionally, the possibility to contact the study authors to report any situation of interest, request information, and inform about the withdrawal from the study at any stage of the fieldwork, without giving justification or expecting any loss of benefits. This research was authorized by the Scientific Ethics Committee (CEC N° 2023-50, dated 19.07.23) of the Universidad Adventista de Chile.
Procedure
Fieldwork was carried out in September and October of the 2023 academic year, in morning and afternoon sessions, over four weeks. Corresponding course instructors of each theoretical classroom were contacted to coordinate visits to the selected classrooms. At the beginning of each class, permission from the instructor was requested to explain the study's objective to the students. Students who agreed to participate signed an informed consent via a QR code, which redirected them to a Google Forms survey with three sections: the first with information about the research, the second with personal and anthropometric data (measured by the researchers), and the third with a questionnaire on attitudes towards obesity (GAMS-27 OPS). The form was self-administered, and all questions were mandatory. The BMI evaluation procedure included collecting data on weight in kilograms (kg) and height in meters (m). Measurement instruments used were SECA brand, provided by the university. Participants were weighed barefoot and in light clothing on a properly calibrated SECA digital scale. Height was measured using a SECA stadiometer, with participants barefoot, standing, and with their back straight against the device, ensuring the head was in the Frankfort plane.
Two alternatives were provided in case of technical problems with the QR code, link, internet connection, or students' smartphones (temporary smartphone or printed questionnaire delivery), but they were not needed.
Instruments
Personal Background Questionnaire: This instrument was developed by the study researchers and was not validated in a pilot sample. Its objective was to collect self-reported personal, academic, and anthropometric data evaluated by the researchers. All data were included in an Excel database.
The instrument contained 10 closed-ended questions that allowed obtaining the following variables: sex, presence or absence of an eating disorder (ED), history of bariatric surgery, age, nationality, studied field, year of study (1st year- 4th year), and type of university residence. The BMI evaluation included collecting data on weight in kilograms (kg) and height in meters (m).
GAMS 27- Obesity Prejudice Scale (OPS): Developed by Ercan et al.14, it was used to evaluate negative attitudes towards excess weight. The screening proved to be highly reliable, showing a Cronbach's α coefficient of 0.85. The 27 questions of the OPS have a 5-point Likert scale, with options ranging from "strongly agree" to "strongly disagree." Scores range from 27 to 135, with higher scores representing more negative attitudes towards obesity. A score between 27 and 68 indicates no prejudice, between 68.01 and 84.99 indicates a predisposition to prejudice, and a score between 85 and 135 indicates weight bias10. The instrument is available in Supplementary Material 3.
Statistical Analysis
A descriptive analysis of qualitative variables such as sex, nationality, field of study, place of residence, and generation was performed; and quantitative variables such as weight, height, BMI, and age. For qualitative variables, frequency and percentage tables were made, and for quantitative variables, proportion calculations were performed. For the analysis of the association between primary and secondary variables, the Chi-square test of independence with MonteCarlo simulation and the proportions test were used. The statistical program used for the analysis was R software version 4.3.0. To evaluate the association between weight stigma with nutritional status and sex, a logistic regression test was used.
RESULTS
A sample of 156 students was analyzed. Table 1 shows that women represented 72.43% of the participants. 43.58% reported an age between 21-23 years; 96.79% were Chilean; 30.76% indicated studying Occupational Therapy, and 92.94% reported not living in university residence. Table 2 shows that 50.64% of the participants were classified with a normal nutritional status.
Table 1 Distribution of the sample by sociodemographic characteristics
Sociodemographic characteristics | n=156 | n=% | |
Sex | |||
Female | 113 | 72.43% | |
Male | 43 | 27.56% | |
Age | |||
18-20 | 65 | 41.66% | |
21-23 | 68 | 43.58% | |
24-26 | 16 | 10.25% | |
27-29 | 5 | 3.20% | |
≥30 | 2 | 1.28% | |
Nationality | |||
Ecuadorian | 1 | 0.64% | |
Peruvian | 1 | 0.64% | |
Venezuelan | 1 | 0.64% | |
Bolivian | 2 | 1.28% | |
Chilean | 151 | 96.79% | |
Degree | |||
Nutrition and Dietetics | 33 | 21.15% | |
Midwifery and Childcare | 26 | 16.66% | |
Chemistry and Pharmacy | 13 | 8.33% | |
Occupational Therapy | 48 | 30.76% | |
Nursing | 36 | 23.07% | |
Place of residence | |||
Internal* | 11 | 7.05% | |
External | 145 | 92.94% | |
Year of Study | |||
First year | 51 | 32.69% | |
Second year | 28 | 17.94% | |
Third year | 40 | 25.64% | |
Fourth year | 37 | 23.71% |
Table 2 Distribution of the sample by nutritional status and sex
Nutritional status | Male | Female |
Underweight | 2 (1.27%) | 5 (3.18%) |
Normal | 22 (14.01%) | 57 (36.3%) |
Overweight | 17 (10.83%) | 35 (22.30%) |
Obesity * | 2 (1.28%) | 16 (10.25%) |
* For this nutritional status, the three categories (mild, moderate, and severe) were combined.
When studying the potential association between nutritional status (BMI) and weight stigma (Table 3), it was found to be statistically significant (p=0.0145). The post hoc test for proportion differences revealed that normal nutritional status was significantly associated with the presence of weight bias (p=0.016).
Using logistic regression (Table 4), it was found that students with a normal BMI were significantly associated with having weight bias (p=0.0163), with a magnitude of OR=6.27 (95% CI: 1.52 - 32.86). After adjusting for sex and field of study, the statistically significant association between normal nutritional status and weight bias remained, withp=0.0028 (Table 5).
Table 3 Association between weight stigma and nutritional status
Nutritional Status | Weight Stigma | ||
No predisposition | With predisposition | Weight bias | |
Underweight | 0 | 3 | 4 |
Normal | 5 | 51 | 23a b |
Overweight (ref 1) | 7 | 41 | 4a |
Obesity (ref 2) | 3 | 10 | 5b |
Chi-square test of independence. Chi2=15.67;p=0.0145 (p-value obtained with MonteCarlo simulation, 2000 replicates).
Post hoc test of differences in weight bias proportions (reference: no predisposition). Reference groups for nutritional status comparison:a: overweight, andb: obesity (underweight category was not used due to zero cases in one cell): a:p=0.016;b:p=0.4900
Table 4 Logistic regression of weight bias vs. normal nutritional status and sex
Variable | B | SE | p-value | OR | 95% CI |
Nutritional Status | |||||
Normal | 1.84 | 0.76 | 0.0163 | 6.27 | 1.52 - 32.86 |
Overweight + Obesity (Ref) | |||||
Sex | |||||
Female | 2.04 | 0.84 | 0.0156 | 7.69 | 1.60 - 47.41 |
Male (Ref) |
B: beta coefficient; SE: standard error; OR: odds ratio; 95% CI: 95% confidence interval for OR.
The reference group for the dependent variable is "no predisposition."
Table 5 Logistic regression of weight bias vs. normal nutritional status, adjusted for sex and field of study
Nutritional status | B | EE | p-value | OR | IC 95% |
Normal | 3,23 | 1,08 | 0,0028 | 25,25 | 3,87 - 311,41 |
Overweight + Obesity (Ref) |
B: beta coefficient; SE: standard error; OR: odds ratio; 95% CI: 95% confidence interval for OR. The reference group for the dependent variable is "no predisposition."
DISCUSSION
The main objective of this study was to verify the association between weight stigma and nutritional status in a sample of university students enrolled in health-related fields. A statistically significant association was found between students with normal nutritional status (BMI) and the presence of weight stigma, compared to those students who had excess malnutrition. Additionally, it was observed that being female was associated with a higher likelihood of presenting weight bias. These findings are consistent with existing evidence on the levels of stigmatization observed in other health professions7,9,10,15,16.
A possible explanation for this association could be that individuals with a normal BMI tend to perceive obesity as a personal failure or behavioral problem, reflecting an internal weight-related bias17. Furthermore, factors associated with the female gender, such as social and cultural norms promoting stricter beauty standards than for men, and the internalization of stigma, influence women's perception and experience regarding their body weight18-20.
A recent study evaluating weight-related bias attitudes among health professionals showed that they maintain both implicit and explicit bias attitudes towards people with obesity21. This increases health care inequalities, leading to lower utilization of health services and interfering with treatment21.
The absence of associations between weight stigma and overweight or obesity in this population may be due to various factors, such as differences in self-perception of weight not being considered negative; the presence of coping mechanisms against stigma; internalization of stigma as something normal; and other confounding factors, such as high social support or elevated self-esteem20,22,23.
It is important to highlight some limitations of this research that should be considered when interpreting the results. First, the cross-sectional design does not allow for the inference of causal relationships or longitudinal changes between variables. Second, the data were based on self-reports, which may introduce potential information biases, such as selection bias and confirmation bias. Third, there is a lack of consensus in the international literature on how to define and measure weight stigma, making it difficult to compare and generalize the findings24-26. In particular, it is necessary to distinguish between internalized weight stigma, which is a form of negative self-perception affecting eating by making it more restrictive and can generate depressive symptoms; experienced weight stigma, which can act as a motivator or inhibitor of eating behaviors; and caused weight stigma, which implies that the stress generated by exposure to stigmatizing situations increases food intake and unhealthy behaviors in individuals with excess malnutrition25,27,28. These conceptual differences can create confusion and misinformation among the public interested in this field of research18.
Despite these limitations, this research opens the discussion in the field of human capital being trained in careers aimed at serving the community, seeking empathetic professionals in many areas, including body perception. Implementing educational and preventive strategies that promote a positive body image and a respectful attitude towards body diversity is crucial. Furthermore, it is suggested to delve deeper into the study of internalized, perceived, and caused weight stigma; concepts that are often confused or masked in scientific literature. In this way, it will be possible to contribute to the generation of knowledge and evidence on this social phenomenon that affects the population with excess malnutrition and future professionals in nutrition and dietetics and other health careers who work directly with patients.
CONCLUSION
In conclusion, this study provides evidence on the association between nutritional status (BMI) and weight stigma in university students in health-related fields, highlighting the importance of addressing weight stigma to avoid prejudice and improve respect towards users. Future studies should consider longitudinal designs and diverse methodologies to deepen the understanding of weight stigma, its associated factors, and its effects on health and psychological well-being.
REFERENCES
1. Aguilera C, Labbé T, Busquets J, Venegas P, Neira C, Valenzuela Á, et al. Obesidad: ¿Factor de riesgo o enfermedad? Rev Med Chil [Internet]. 2019 [cited 2024 Jun 14];147(4):470-4. Available from: http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0034-98872019000400470&lng=es&nrm=iso&tlng=es. [ Links ]
2. Obesidad y sobrepeso [Internet]. [cited 2024 Jun 14]. Available from: https://www.who.int/news-room/fact-sheets/detail/obesity-and-overweight. [ Links ]
3. Sánchez-Carracedo D. El estigma de la obesidad y su impacto en la salud: una revisión narrativa. Endocrinol Diabetes Nutr. 2022 Dec 1;69(10):868-77. [ Links ]
4. Kim SR, Kim HN, Song SW. Associations Between Mental Health, Quality of Life, and Obesity/Metabolic Risk Phenotypes. Metab Syndr Relat Disord [Internet]. 2020 Sep 1 [cited 2024 Jun 14];18(7):347-52. Available from: https://pubmed.ncbi.nlm.nih.gov/32429802/. [ Links ]
5. Tomiyama AJ, Carr D, Granberg EM, Major B, Robinson E, Sutin AR, et al. How and why weight stigma drives the obesity "epidemic" and harms health. BMC Med [Internet]. 2018 Aug 15 [cited 2024 Jun 14];16(1). Available from: https://pubmed.ncbi.nlm.nih.gov/30107800/. [ Links ]
6. Hatzenbuehler ML, Keyes KM, Hasin DS. Associations between perceived weight discrimination and the prevalence of psychiatric disorders in the general population. Obesity (Silver Spring) [Internet]. 2009 Nov [cited 2024 Jun 14];17(11):2033-9. Available from: https://pubmed.ncbi.nlm.nih.gov/19390520/. [ Links ]
7. Kamolthip R, Saffari M, Fung XCC, O'Brien KS, Chang YL, Lin YC, et al. The mediation effect of perceived weight stigma in association between weight status and eating disturbances among university students: is there any gender difference? J Eat Disord [Internet]. 2022 Dec 1 [cited 2024 Jun 14];10(1). Available from: https://pubmed.ncbi.nlm.nih.gov/35193673/. [ Links ]
8. Tapking C, Benner L, Hackbusch M, Schüler S, Tran D, Ottawa GB, et al. Influence of Body Mass Index and Gender on Stigmatization of Obesity. Obes Surg [Internet]. 2020 Dec 1 [cited 2024 Jun 14];30(12):4926-34. Available from: https://pubmed.ncbi.nlm.nih.gov/32772227/. [ Links ]
9. George TP, Decristofaro C, Murphy PF. Unconscious Weight Bias Among Nursing Students: A Descriptive Study. Healthcare [Internet]. 2019 Sep 1 [cited 2024 Jun 14];7(3). Available from: https://pubmed.ncbi.nlm.nih.gov/6787661/. [ Links ]
10. Bastias-González F, Jorquera C, Matamala C, Aguirre P, Escandon-Nagel N, Marileo L, et al. El estigma de peso de los estudiantes de nutrición y dietética hacia las personas con obesidad. Revista chilena de nutrición [Internet]. 2022 Jun 1 [cited 2024 Jun 14];49(3):378-83. Available from: http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0717-75182022000300378&lng=es&nrm=iso&tlng=en. [ Links ]
11. Obara AA, Vivolo SRGF, Alvarenga MDS. Preconceito relacionado ao peso na conduta nutricional: um estudo com estudantes de nutrição. Cad Saude Publica [Internet]. 2018 Aug 20 [cited 2024 Jun 14];34(8):e00088017. Available from: https://www.scielo.br/j/csp/a/YkFF7RGTnDP8kQmCHzk5sBS/abstract/?lang=pt. [ Links ]
12. Cuschieri S. The STROBE guidelines. Saudi J Anaesth [Internet]. 2019 Apr 1 [cited 2024 Jun 14];13(Suppl 1):S31-4. Available from: https://pubmed.ncbi.nlm.nih.gov/30930717/. [ Links ]
13. Bastías-González F, Gómez-Pérez D, Ortiz-Parada M. Estigma de peso, dieta mediterránea y obesidad. Nutr Hosp [Internet]. 2022 May 1 [cited 2024 Jun 14];39(3):554-61. Available from: https://scielo.isciii.es/scielo.php?script=sci_arttext&pid=S0212-16112022000400010&lng=es&nrm=iso&tlng=es. [ Links ]
14. Ercan A, Altun S, OK MA. The Impact of Occupational Education on Obesity Prejudice of University Students. Progress in Nutrition [Internet]. 2021 Mar 31 [cited 2024 Jun 14];23(1):e2021017-e2021017. Available from: https://www.mattioli1885journals.com/index.php/progressinnutrition/article/view/8921. [ Links ]
15. Puhl RM, Lessard LM, Himmelstein MS, Foster GD. The roles of experienced and internalized weight stigma in healthcare experiences: Perspectives of adults engaged in weight management across six countries. PLoS One [Internet]. 2021 Jun 1 [cited 2024 Jun 14];16(6). Available from: https://pubmed.ncbi.nlm.nih.gov/34061867/. [ Links ]
16. Principios de salud en todos los tamaños: perspectivas de los médicos para limitar el estigma del peso en la atención médica - PubMed [Internet]. [cited 2024 Jun 14]. Available from: https://pubmed.ncbi.nlm.nih.gov/37768769/. [ Links ]
17. Puhl RM, Moss-Racusin CA, Schwartz MB. Internalization of weight bias: Implications for binge eating and emotional well-being. Obesity (Silver Spring) [Internet]. 2007 Jan [cited 2024 Jun 14];15(1):19-23. Available from: https://pubmed.ncbi.nlm.nih.gov/17228027/. [ Links ]
18. Kamolthip R, Saffari M, Fung XCC, O'Brien KS, Chang YL, Lin YC, et al. The mediation effect of perceived weight stigma in association between weight status and eating disturbances among university students: is there any gender difference? J Eat Disord [Internet]. 2022 Dec 1 [cited 2024 Jun 14];10(1):28. Available from: https://pubmed.ncbi.nlm.nih.gov/8864835/. [ Links ]
19. Vartanian LR, Novak SA. Internalized societal attitudes moderate the impact of weight stigma on avoidance of exercise. Obesity (Silver Spring) [Internet]. 2011 Apr [cited 2024 Jun 14];19(4):757-62. Available from: https://pubmed.ncbi.nlm.nih.gov/20948515/. [ Links ]
20. Durso LE, Latner JD. Understanding Self-directed Stigma: Development of the Weight Bias Internalization Scale. Obesity [Internet]. 2008 Nov 1 [cited 2024 Jun 14];16(S2):S80-6. Available from: https://onlinelibrary.wiley.com/doi/full/10.1038/oby.2008.448. [ Links ]
21. Lawrence BJ, Kerr D, Pollard CM, Theophilus M, Alexander E, Haywood D, et al. Weight bias among health care professionals: A systematic review and meta-analysis. Obes Res [Internet]. 2021 Nov 1 [cited 2024 Jun 14];29(11):1802-12. Available from: https://research-repository.uwa.edu.au/en/publications/weight-bias-among-health-care-professionals-a-systematic-review-a. [ Links ]
22. Puhl R, Suh Y. Stigma and eating and weight disorders. Curr Psychiatry Rep [Internet]. 2015 Mar 1 [cited 2024 Jun 14];17(3). Available from: https://pubmed.ncbi.nlm.nih.gov/25652251/. [ Links ]
23. Alimoradi Z, Golboni F, Griffiths MD, Broström A, Lin CY, Pakpour AH. Weight-related stigma and psychological distress: A systematic review and meta-analysis. Clin Nutr [Internet]. 2020 Jul 1 [cited 2024 Jun 14];39(7):2001-13. Available from: https://pubmed.ncbi.nlm.nih.gov/31732288/. [ Links ]
24. Jackson SE, Steptoe A. Obesity, perceived weight discrimination, and hair cortisol: a population-based study. Psychoneuroendocrinology [Internet]. 2018 Dec 1 [cited 2024 Jun 14];98:67-73. Available from: https://pubmed.ncbi.nlm.nih.gov/30118922/. [ Links ]
25. Cheng MY, Wang SM, Lam YY, Luk HT, Man YC, Lin CY. The Relationships Between Weight Bias, Perceived Weight Stigma, Eating Behavior, and Psychological Distress Among Undergraduate Students in Hong Kong. J Nerv Ment Dis [Internet]. 2018 Sep 1 [cited 2024 Jun 14];206(9):705-10. Available from: https://pubmed.ncbi.nlm.nih.gov/30124569/. [ Links ]
26. Vilugrón F, Cortés M, Valenzuela J, Rojas C, Gutiérrez P. [Obesity, weight-related stigma and its association with the perception of quality of life in Chilean university students]. Nutr Hosp [Internet]. 2023 May 1 [cited 2024 Jun 14];40(3):543-50. Available from: https://pubmed.ncbi.nlm.nih.gov/37073745/. [ Links ]
27. Sattler KM, Deane FP, Tapsell L, Kelly PJ. Gender differences in the relationship of weight-based stigmatisation with motivation to exercise and physical activity in overweight individuals. Health Psychol Open [Internet]. 2018 Jan 1 [cited 2024 Jun 14];5(1). Available from: https://pubmed.ncbi.nlm.nih.gov/29552349/. [ Links ]
28. Gómez-Pérez D, Ortiz MS. Estigma de obesidad, cortisol e ingesta alimentaria: un estudio experimental con mujeres. Rev Med Chil [Internet]. 2019 Mar 1 [cited 2024 Jun 14];147(3):314-21. Available from: http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0034-98872019000300314&lng=es&nrm=iso&tlng=es. [ Links ]
8Article published by the Journal of the faculty of Human Medicine of the Ricardo Palma University. It is an open access article, distributed under the terms of the Creatvie Commons license: Creative Commons Attribution 4.0 International, CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/), that allows non-commercial use, distribution and reproduction in any medium, provided that the original work is duly cited. For commercial use, please contact revista.medicina@urp.edu.pe.
Received: June 12, 2024; Accepted: July 11, 2024