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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.23 no.2 Lima abr./jun. 2023 Epub 18-Abr-2023
http://dx.doi.org/10.25176/rfmh.v23i2.5648
Original Article
Risky eating behaviors in young adults from two communes of the Ñuble region, in Chile in the Covid-19 pandemic
1Carrera de Nutrición y Dietética, Facultad de Ciencias de la Salud, Universidad Adventista de Chile. Chillán, Chile.
2Universidad de las Américas, Facultad de Ciencias de la Salud, sede Viña del Mar, Valparaíso, Chile.
3Carrera de Nutrición y Dietética. Facultad de Salud. Universidad Santo Tomás, Talca. Chile.
Objective:
To analyze risky eating behaviors in relation to nutritional status and physical activity in young adults during the COVID-19 pandemic in the communes of Chillán and Chillán Viejo.
Methods:
Observational and cross-sectional design. A sample of 184 young adults of both sexes, who lived in two communes in the Ñuble region (Chile) during the period of confinement due to COVID-19 pandemic, was obtained. A personal history questionnaire and the SCOFF scale that assesses the risk of eating behavior disorders (EDs) were applied.
Results:
A 37.16% risk for ED was found (95% CI: 30.23 - 44.63%). The risk of eating behavior disorders was related to the variables: physical activity (p=0.01 bivariate analysis) and nutritional status (p=0.03, adjusted analysis).
Conclusion:
It was possible to identify a higher proportion than that recorded in the literature and the factors associated with eating disorders were those that were expected to be found.
Keywords: Eating disorders; bulimia nervosa; anorexia nervosa; binge eating disorder; pandemic; quarantine. (Source: MeSH NLM)
INTRODUCTION
Eating Disorders (ED) are psychological disorders in which there is a more significant concern for weight, body image and diet(1). which can cause serious health problems and even cause death in extreme cases, within the limits of which the most common are anorexia nervosa, bulimia nervosa and binge eating disorder, among others1. These disorders are classified within the Diagnostic Manual of Mental Disorders in its 5th Edition (DMS-5) and in the International Classification of Diseases (ICD-10)1.
At the beginning of 2020, the World Health Organization declared the disease caused by the SARS-COV2 virus a pandemic2, which caused countries, including Chile, to implement sanitary measures of social isolation and quarantines3. According to the evidence, during the pandemic, risk behaviors and factors associated with eating disorders have been altered by confinement conditions4having an effect on people's eating behaviors5.
Studies have revealed that a change in a person's routine, where the structures created in "normal" life are removed, can increase the risk of eating disorders6,7manifesting itself in different ways, including changes in the appreciation of body image, binge eating behaviors or uncontrolled intake of food and deprivation of food8.
Due to these conditions, eating behaviors can be affected due to different factors such as Physical Activity (PA) and Nutritional Status (NS). In relation to PA, a reduction has been seen due to confinement measures9, which may be a factor present in eating disorders10.
With regard to NS, on the one hand, it is assumed that a thin or underweight person has a higher risk of developing eating disorders; however, there is evidence11,12indicating an inverse trend between the Body Mass Index (BMI) and body dissatisfaction, with a higher risk of suffering eating disorders13.
This research aims to analyze risky eating behaviors in relation to nutritional status and physical activity in young adults during the COVID-19 pandemic in the communes of Chillán and Chillán Viejo. The evidence shows that in this age group this phenomenon, both nationally and regionally, is little investigated, contrary to the investigations carried out in the adolescent population14,15, so it is necessary to investigate this specific population in pandemic context.
MATERIAL AND METHODS
Participants
It was made up of young adults who live in the communes of Chillán and Chillán Viejo (Ñuble region, Chile). A sample of 184 subjects was obtained, which allows estimating a prevalence of ED risk (specifically anorexia and bulimia nervosa), around a P0 = 0.1214and with a precision of 0.05 (1 - alpha = 0.95). They were selected by the random non-probabilistic method16.
Adults between the ages of 18 and 25 years were included, of both sexes; who live in any of the two communes described above for at least two months. Subjects with a self-reported diagnosis of ED were excluded.
This study was authorized by the Scientific Ethics Committee of the Adventist University of Chile (N°2021-20). Participation was completely voluntary and they signed an informed consent, following the guidelines of the Declaration of Helsinki17.
Instruments
Two instruments were applied:
1. Personal data questionnaire. Designed by the same authors of this study, it allowed the collection of general and self-reported health information with data such as gender (female, male); age (date of birth); current studies (high school, technical level, university, postgraduate or other); occupation (student, worker, both); place of residence (Chillán, Chillán Viejo); self-reported pathology or current diagnosis of disease (for the exclusion criteria: eating disorders), perception of physical activity (performs, does not perform) and an estimated time (30, 60, 120 minutes or more).
2. Eating behavior risk questionnaire SCOFF. Used for ED risk screening, it consists of five dichotomous response questions (Yes: 1 point - No: 0 points) that evaluate the following aspects; self-induced vomiting (Sick), fear of uncontrolled eating (Control), weight loss (Out weight), changes in body image (Fat) and food dependence (Food). All questions are designed with one-way answers. Results of a sum greater than or equal to 2 points are classified as at risk of suffering from an eating disorder, specifically anorexia or bulimia nervosa18. The version used was translated into Spanish and validated in men and women19-21, with a sensitivity of 78% and a specificity of 84%21.
3. Data collection. The data collection was implemented with the Google Forms platform and disseminated through email and on social networks (Facebook and Instagram). It was available between September 1 and October 13, 2021.
Statistic analysis
Qualitative variables were described with absolute and relative frequencies. The Chi2 test was used, and the magnitude of the associations was with the prevalence ratio (PR) and 95% confidence intervals. R-Studio was used with the "epiR", "forcats", "ggplot2" and "gridExtra" packages.
RESULTS
Below are the results of the youth and adults selected in the sample, who correspond to 184 surveys eligible for analysis (Table 1).
Table 1. Distribution of study participants according to sociodemographic variables.
| Independent variables | n | % | Confidence intervals 95% |
| Sex | |||
| Women | 138 | 75.41 | 68.40 - 81.33 |
| Man | 45 | 24.59 | 18.67 - 31.60 |
| Age | |||
| 18-21 | 84 | 45.90 | 38.58 - 53.40 |
| 22-25 | 99 | 54.10 | 46.60 - 61.42 |
| Actual studies | |||
| Secondary education | 9 | 6.52 | 3.22 - 12.38 |
| University | 159 | 86.89 | 80.92 - 91.25 |
| High level technician | 7 | 3.83 | 1.69 - 8.04 |
| Graduate or other | 8 | 4.37 | 2.05 - 8.73 |
| Occupation | |||
| Student | 136 | 74.32 | 67.24 - 80.35 |
| Worker | 28 | 15.30 | 10.57 - 21.53 |
| Both | 19 | 10.38 | 6.53 - 15.96 |
| Place of residence | |||
| Chillán | 170 | 92.90 | 87.90 - 96.01 |
| Chillán Viejo | 13 | 7.10 | 3.99 - 12.10 |
Based on the SCOFF scale, we found that 37.16% (n = 68) of the sample is at risk of eating disorders (95% CI: 30.23 - 44.63%). The distribution of the proportions by sex and age group did not show statistically significant differences (p = 0.1862 and p = 0.3923, respectively), even though the point estimates of the proportions of eating disorders were higher in women (39.86%). than in men (28.89%) and in the younger age group (40.47%), versus the older one (34.34%), as shown in (Figura 1).
Figure 1: Proportions of eating disorders according to sex, age group and global sample CI, 95% confidence interval for the proportion
When evaluating the potential association between the risk of eating disorders and the independent variables studied (Figura 2), it was found that not performing physical activity increases the risk of screening for eating disorders by 1.59 times (95% CI: 1.10 - 2.30).
Figure 2: Prevalence ratios that evaluate associations between independent variables and the risk of eating disorder
Table 2shows the Poisson regression between the risk or not of eating disorders and nutritional status (eutrophic and overweight/obesity), adjusted for sex, age, and physical activity. Again, a statistically significant association was found (p = 0.044), where self-reported overweight and obese subjects present 1.41 times more risk of being screened for ED risk.
Table 2. Prevalence ratio between the presence or absence of ED risk and nutritional status.
| Nutritional condition | Prevalence Ratio | confidence intervals 95% | p-value |
| Overweight and obesity * | 1.41 | 1.10 - 1.80 | 0.044 |
| Eutrophic | 1.00 |
Poisson regression adjusted for sex, age and physical activity. * Data were pooled for analysis (overweight: 1 and obesity: 2)
DISCUSSION
In the present investigation, we studied the risk of eating disorders in a sample of young people residing in two communes of the Ñuble region, finding a higher proportion of 37.16% than the specific estimates, compared to that of other countries such as Brazil22, España23,24, Libya25and China26, samples collected before 2020. This ED prevalence value obtained in our study could be partly explained by the pandemic context, since being a stressful event that modified habitual life and eating routines could predispose to a greater risk of altered eating behaviors in this particular population.
Secondly, we wanted to evaluate possible variables associated with a higher risk of eating disorders. Once cleared by some confounders, we found that overweight and obesity (together) presented a significantly increased risk of presenting an eating disorder. This finding is similar to that published by Castejón et al.13, where their results showed that overweight people had an obsession with thinness and body dissatisfaction, which is associated with states of anxiety regarding physical appearance, which could lead to a greater risk of eating disorders.
Zapata et al.27. conducted a study in the Chilean adolescent population and found that 27.7% and 16.9% of overweight and obese women presented a higher risk of developing eating disorders28. In turn, malnutrition due to excess has been exacerbated by the increase in emotional food intake caused by the stress of confinement and the fear of contracting the COVID-19 disease29so it can be assumed that there is a greater risk of starting ED-related events.
Only in a bivariate way did we find a statistically significant association between not performing physical activity and eating disorders. This is consistent with the study by Nurkkala et al30, that the trait drives for thinness measured in young men was associated with longer sedentary time. Indeed, the evidence shows us that PA can reduce anxiety, which in turn decreases the risk of eating disorders31. This anxiety has been increased by the confinement measure due to the declared pandemic32, since the PA strategy is of vital importance in this context.
Despite the inverse relationship observed between PA and ED, there is also evidence that suggests the opposite, such as a study published in 202033, where shows that moderate-intense PA is correlated with binge eating (r = 0.302; p < 0.001) and uncontrolled eating (r = 0.346; p < 0.001). This can be explained because various motivations for performing PA include aesthetic (appearance), health benefits, social acceptance, or enjoyment. For example, the study by Nurkkala et al30found that youngsters with inappropriate eating behaviors were associated with PA related to the body, that is, more linked to improving body image; while subjects with bulimic traits were inversely associated with exercise motivation linked to a health benefit.
Our study had limitations. The first one we highlight is about the sample obtained with a non-probabilistic method. Secondly, the application of instruments with the self-report modality is therefore exposed to social desirability bias34. Third, since it is cross-sectional, a causal relationship cannot be established between the independent and dependent variables. Fourthly, the dependent variable was measured with an instrument that serves as ED screening and therefore there was no clinical diagnosis of the pathology that the subjects in this sample would have. Nevertheless, this study aims to show concrete evidence in the context of general confinement, a situation rarely seen, and with the tools available to achieve an approach as faithful as possible to the reality of this experience.
CONCLUSIONS
In conclusion, we found ED percentages higher than previously available estimates. Of the factors associated with the risk of eating disorders, age, sex, occupation, and time of physical activity were not significant. Overweight was statistically associated with obesity (as a whole) and not performing PA.
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8 Article 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/1.0/), 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: July 29, 2022; Accepted: March 14, 2023
Este es un artículo publicado en acceso abierto bajo una licencia Creative Commons
