SciELO - Scientific Electronic Library Online

vol.28 issue6Prevalence of overweight and obesity in children and adolescents from Cochabamba (Bolivia): a cross-sectional studyTV food advertisements' effect on food consumption and adiposity among women and children in Mexico author indexsubject indexarticles search
Home Pagealphabetic serial listing  


Services on Demand




Related links

  • On index processCited by Google
  • Have no similar articlesSimilars in SciELO
  • On index processSimilars in Google


Nutrición Hospitalaria

On-line version ISSN 1699-5198Print version ISSN 0212-1611

Nutr. Hosp. vol.28 n.6 Madrid Nov./Dec. 2013 

ORIGINAL / Obesidad


Obesity, eating behaviour and mental health among university students in Mexico city

Obesidad, conducta alimentaria y salud mental en estudiantes universitarios de la ciudad de México



Irina Lazarevich, María Esther Irigoyen-Camacho and María del Consuelo Velázquez-Alva

Departamento de Atención a la Salud. División de Ciencias Biológicas y de la Salud. Universidad Autónoma Metropolitana-Xochimilco. México, D. F.





Introduction: Psychological factors are important in the development of obesity; however these are frequently underestimated in intervention programs.
Objective: To examine the association of mental health with altered eating behavior related to weigh gain, and with abdominal obesity among college students in order to provide more comprehensive guidelines for intervention programs.
Methods: A cross-sectional study was performed with 1,122 university students (from a total population of 1,820 freshmen students) at the Metropolitan Autonomous University, Mexico City. Body mass index and waist circumference (WC) were recorded. A six items questionnaire was applied to assess altered eating behavior. Self-reported questionnaires for depression (Beck Depression Inventory), anxiety (General Anxiety Disorder Scale of Carrol and Davidson), and impulsiveness symptoms (Plutchik Impulsivity Scale) were used. Multiple logistic regression models were performed.
Results: An increased WC was associated with depression symptoms (OR = 1.4), female sex (OR = 1.5), and age (OR = 1.1). Students with altered eating behaviors showed elevated levels of impulsivity (e.g. have difficulties to stop eating, OR = 4.2) and depression (e.g. have problem to eat at regular times, OR=6.98). In addition, higher WC was associated with female sex, parents' obesity, and unhealthy eating behaviors (e.g. have difficulties to stop eating, OR = 1.42; and constantly feel hungry, and eat too much, OR = 2.25).
Conclusions: Although preventive programs directed at development of adequate eating habits and physical activity are considered a key component of intervention programs, strategies for the management of emotions, the promotion of positive mood and impulsivity-reduction techniques are a necessary complement for a comprehensive approach to overweight and obesity.

Key words: Obesity. Overweight. Mental health. Students. Eating behaviour.


Introducción: Los factores psicológicos son importantes en el desarrollo de la obesidad; sin embargo, éstos se subestiman con frecuencia en los programas de intervención.
Objetivo: Analizar la asociación entre salud mental y conductas alimentarias alteradas en relación con el sobrepeso y la obesidad abdominal entre estudiantes universitarios con el fin de proporcionar directrices más amplias para los programas de intervención.
Métodos: Estudio transversal realizado con 1.122 estudiantes universitarios (de una población total de 1 820 estudiantes del primer año) de la Universidad Autónoma Metropolitana, Ciudad de México. Se registraron el índice de masa corporal y la circunferencia de la cintura (CC). Se aplicó un cuestionario para evaluar alteraciones de la conducta alimentaria . Se utilizaron cuestionarios de autoreporte para la identificación de depresión (Inventario de Depresión de Beck), ansiedad (trastorno de ansiedad general Escala de Carrol y Davidson), y síntomas de impulsividad (Escala de Impulsividad Plutchik). Se realizaron modelos de regresión logística múltiple.
Resultados: Un aumento de CC se asoció con síntomas de depresión (OR = 1,4), sexo femenino (OR = 1,5) y edad (OR = 1,1). Los estudiantes con conductas alimentarias alteradas mostraron niveles elevados de impulsividad (por ejemplo, tienen dificultades para dejar de comer, OR = 4,2) y depresión (por ejemplo, tienen problemas para comer a horas regulares, OR = 6,98). Además, el aumento de CC se asoció con el sexo femenino, la obesidad de los padres, y los comportamientos alimentarios poco saludables (por ejemplo, tienen dificultades para dejar de comer, OR = 1,42, y constantemente sienten hambre y comen en exceso, OR = 2,25).
Conclusiones: A pesar de que los programas de prevención dirigidos a desarrollo de hábitos alimentarios adecuados y la actividad física son considerados un componente clave de los programas de intervención, las estrategias para el manejo de las emociones, la promoción del estado de ánimo positivo y técnicas de reducción de la impulsividad son un complemento necesario para un enfoque integral del tratamiento del sobrepeso y la obesidad.

Palabras clave: Obesidad. Sobrepeso. Salud mental. Estudiantes.



Obesity represents a public health problem with increasing prevalence, long-term complications and frequent relapses in treatment. Therefore, this issue requires a better understanding of its causes in order to promote appropriate prevention and intervention management1-3.

Regarding eating behaviour, preventive programs have emphasized risk factors for anorexia and bulimia that include compensatory behaviour for weight loss, but little attention has been paid to subclinical disturbed eating behaviour that is related to weight gain4,5.

Obesity is the result of a complex interplay of genetic, environmental, and psychological factors3,6. The attributable risk associated with genetic factors in the etiology of obesity varies widely, from 6% to 85%, depending on the methods and the evaluated population6. Also, it is well recognized that external factors, such as "obesogenic environment," can contribute to the increasing prevalence of obesity, which is driven by unhealthy eating habits and physical inactivity7.

People with emotional problems and dysfunctional coping strategies (in which effective emotional regulation is substituted by eating) may develop abnormal eating behaviour that leads to weight gain8-14. Psychopathologies can be both a cause and a consequence of obesity and in many cases show a bidirectional relationship. Strine et al.12 have shown that lifetime diagnosis of anxiety and depression was associated with obesity in American adults. Anxiety can lead to overeating, promotes weight gain, and decreases adherence to treatment14,15.

According to the American Psychiatric Association, individuals with atypical depression accompanied by increased appetite and periods of overeating frequently are overweight or obese16. These eating patterns may be related to the brain's reward mechanisms in regulating stress17. It is well known that eating disorders are accompanied by difficulty in regulating emotional states18-20. Several studies have reported that obese people frequently perform "emotional eating," which is defined as eating for reasons other than hunger and consuming large quantities of food in response to emotional states18-20.

Despite the fact that many investigations confirm the importance of psychological factors in the development of obesity; these findings are frequently underestimated in prevention and treatment of obesity.

Considering the high prevalence and increasing incidence of obesity in Mexico, which affect all age groups, it is necessary to implement adequate health promotion programs. Schools provide a good setting to develop such interventions, which should comprise evaluation of students' health status, including mental health and nutritional aspects. It is also important to take into account that unhealthy behavior could affect self-esteem and educational achievement1,2,21-25.

Therefore, the aims of the study were to associate altered eating behaviour with depression, anxiety, impulsivity symptoms, and abdominal obesity in Mexican college students, as well as to provide information for the university community in order to develop adequate strategies for obesity prevention and the promotion of healthy lifestyles.



A cross-sectional study was performed, applying self-report questionnaires.


Freshmen students were randomly selected at the Autonomous Metropolitan University-Xochimilco of Mexico City in 2011. The sample included 1,231 students (from a total population of 1,820 freshmen students, females 52.8% and males 47.2%)26. First-year students who attended their computer training classes during the first week of the term answered the questionnaire online. In the present study, subjects over 25 years old (109 individuals) were excluded, therefore, a total of 1,122 participants were included for analysis. All of the freshmen attending the computer training class responded to the study's questionnaire (participation rate 100%). The average time for completing the questionnaire was 30 minutes.


The study's questionnaire was anonymous, and the participants were assured of data confidentiality. The students participated on a voluntary basis, and they acknowledged informed consent online. The possibility of psychological support was offered to the participants. The protocol for human research of the Mexican Health Ministry was followed. This research project is a component of the institutional program "Healthy University". The project was approved by the University Review Board, where the ethical aspects were revised.


The participants self-measured their waist circumference to estimate abdominal obesity under the supervision of a researcher, who helped them to identify the midpoint between costal edge and iliac crest. They uncovered the abdominal area, and placed a flexible tape around their waist with a relaxed abdomen. The cutoff point for waist circumference was > 80 cm for women and > 90 cm for men2,27. Self-reported weight and height were recorded in order to calculate body >mass index (BMI weight/height2). Based on WHO criteria28, the cutoff point for being overweight was BMI > 25.0 kg/m2, and for obesity > 30 kg/m2.


In order to identify problems with eating behaviour related to weigh gain, 6 specific questions were applied and analyzed separately: 1) Do you have difficulty in keeping a mealtime and to eat regularly? 2) Do you constantly feel hungry and overeat? 3) Is it difficult for you to stop eating once you have started even if you are satisfied? 4) Do you binge with the feeling that you cannot stop eating? 5) Do you prefer eating sweet things? 6) Do you have a tendency to snack frequently between meals?

The answer for each question was provided using a Likert scale (0 to 3), with options of never, sometimes, often, and always. The questions to assess eating behaviour were selected from previous questionnaires29,30. Prior to the application in the study group, the questions were tested in the focus group consisted of university students and modified according to participants' suggestions. Cronbach alpha coefficient of the instrument was 0.77, which indicated a satisfactory reliability score31.

Beck Depression Inventory (BDI-II) was used to assess depressive symptoms in cognitive, motor, affective, and somatic areas. The instrument consists of 21 items with four possible answers (0 to 3), according to the intensity of symptoms. Depression was rated from 10 points using Mexican standards and the original criteria of this Inventory (cutoff score > 10). Internal consistency of the instrument has been satisfactory -Cronbach's alpha varied from 0.87 to 0.95 in previous studies32.

Plutchik Impulsivity Scale was applied to evaluate impulsiveness. This is a 15-item questionnaire (I do things impulsively; I often lose patience; I eat even though I am not hungry; I cannot easily concentrate, etc.) with a Likert score (0 to 3), and a cutoff score of >20. Cronbach's alpha in previous studies was 0.67 to 0.73 in previous studies33.

Anxiety symptoms were identified using the General Anxiety Disorder Scale of Carrol and Davidson, based on DSM-IV criteria34. This questionnaire contains dichotomous (yes/no) items based on aspects that the subject has felt in the last 6 months (e.g., Most days I feel nervous; I get irritated easily; the majority of the days I am worried about many things, etc.), with a cutoff score of > 10, Cronbach's alpha was satisfactory 0.85 to 0.89.


Descriptive statistics were used for questions regarding eating behaviour, impulsiveness, anxiety, and depression scales. WC was dichotomized in two groups: normal WC and elevated WC,2 this classification was carried out with a cutoff point calculated for the Mexican population. None of the students' anthropometric values were out of three standard deviation using Mahalanobis distance. Shapiro-Wilk W test for normal data was applied for continuous variables. Spearman s rank correlation (p) was used for waist circumference and body mass index.

A first multiple logistic regression model was carried out between mental health symptoms (depression, impulsivity, and anxiety), adjusted by sex and age, and WC. The second model was performed with depression, impulsivity and anxiety scores as independent variables and questions regarding eating behaviour as dependent variables. Bivariate analysis was conducted for WC groups and eating behaviour questions using chi-square maximum likelihood. In addition, a third multiple logistic regression model was developed using family history of obesity, eating behaviour patterns, sex, and age as independent variables; while WC was a dependent variable. The level of significance was set at p < 0.05. The goodness of fit for logistic regression models was assessed by the Hosmer and Lemeshow test, (p > 0.05). Stata statistical package was used for data analysis (StataCorp. 2007. Stata Statistical Software: Release 10. College Station, TX).



A total of 1,122 participants were evaluated, 619 (55.2%) females and 503 (44.8%) males; mean age was 20 (SD = 1.98) years old. In relation to family history of obesity, 166 (14.8%) students indicated that their mother was obese and 182 (16.2%) reported that their father was obese; no differences were detected by sex (p > 0.05).

The average of self-reported BMI was 23.3 kg/m2 (SD = 3.56), 22.7 kg/m2 (SD = 3.41) in women and 24.1kg/m2 (SD = 3.59) in men, p < 0.001. In 26.6% of the participants overweight and obesity (BMI > 25 kg/m2) were detected, of which 4.4% presented obesity (BMI > 30 kg/m2). Regarding waist circumference (WC), about a quarter of the students (26.8%) were above the established limit, 29.9% women and 23.1% men (p < 0.01). A relatively high correlation between BMI and WC was observed (p = 0.70).

Figure 1 shows the distribution of altered eating behaviour among college students: 929 (82.8%) had problem to eat regularly and about three-quarters indicated carbohydrate craving, 842 (75%). Many reported constantly feeling hungry and overeating, 464 (41.4%), and some have difficulty to stop eating, 211(18.8%), or binge eating, 109 (9.7%). More women than men presented altered eating behaviours (p < 0.05).



Depression symptoms were observed in 20.4% of the students (24.2% women and 15.7% men, p < 0.01); mean score was 5.24 (SD = 5.6). Impulsivity symptoms were observed in 15.7% of the participants, without differences by sex (p = 0.19); mean score was 13.82 (SD = 5.87). Anxiety was detected in 2.76% of the sample group (3.4% women and 2% men, p = 0.15); mean score was 2.19 (SD = 2.71), 2.66 (SD = 2.88) in women and 1.74 (SD = 2.49) in men, p < 0.0001.

The results of the first multiple logistic regression model indicated correlation of female sex (OR = 1.5; p =.005), age (OR = 1.1; p = 0.005), and depression score (OR = 1.4; p = 0.043) with an elevated WC, that was not observed with impulsiveness and anxiety.

Table I presents the results of the second multiple logistic regression model: the association between mental health symptoms and eating behaviours, adjusting for age and sex. It can be seen that irregular mealtimes, constantly feeling hungry and overeating, have difficulty to stop eating, binge eating, and carbohydrate craving were associated with impulsivity and depression. No association was detected with anxiety symptoms (data not shown).



Table II shows the association between eating behaviours and WC. In the bivariate analysis, the highest ORs were detected for the questions: constantly feeling hungry-overeating and difficulty to stop eating.



In addition, in the third multiple logistic regression model it was observed that age, female sex, parents' obesity, and altered eating behaviour (difficulty to stop eating and constantly feeling hungry and overeating) were associated with higher waist circumference (Table III).




Obesity and eating behaviour: The results of this study indicated that 26.6% of the participants were overweight or obese (BMI > 25 kg/m2). About the same number of the students (26.8%) had elevated weight circumference. These findings corroborate high prevalence of overweight and obesity in Mexico that ranks second worldwide after US1,2. Our data are slightly lower than those reported in the national survey2 and similar to the data obtained in U.S. college students.35 However, the prevalence of overweight and obesity in our study is higher than the prevalence observed in a group of university students in Spain36.

Regarding eating behaviour, we found that most of the students showed altered eating behaviours, such as difficulty to eat regularly (82.8%) and carbohydrate craving (75%), followed by overeating and difficulty in stopping eating. About 10% of the participant reported binge eating. More women than men were involved in these altered eating behaviours. The results demonstrate that Mexican college students had a high prevalence of unhealthy eating behaviours. Considering this information, it is important that university health programs provide an environment that is conducive to healthy eating and regular physical activity.

Most of the eating behaviours evaluated in this study, particularly those related to binge eating, overeating, and carbohydrate craving, could be associated with "food strategies" for emotions or mood regulation and contribute to weight gain13,17-20. According to the literature, it is known that these patterns frequently are related to the difficulties of emotional control (problems in identifying and making sense of emotional states, and limited access to appropriate regulation strategies); "emotional eaters" overeat in response to emotional states as has been shown before17-20.

Thus, the results of our study suggest that psychological problems and personality characteristics should be considered in prevention of obesity and weight control programs.

Mental health, eating behaviour, and waist circumference: The results indicated that elevated WC was associated with depression symptoms, female sex and age. These data are consistent with the study performed by Moral and Meza37 which demonstrated relationship among affective disorders, age and overeating.

Analyzing eating behaviours, it was observed that students with altered patterns presented higher levels of impulsiveness and depression scores, particularly those with difficulty to stop eating, constantly feeling hungry and overeating, as well as participants with binge eating. This data can support the hypothesis that mental health problems are associated with altered eating behaviour that lead to weigh gain. Furthermore, it should be noted that eating behaviour, such as having problems to eat regularly, showed a highest association with depression symptoms. Our results are consistent with previous reports performed in nonclinical populations that have found an association between obesity and mental disorders8-12. Several studies have also emphasized that an elevated level of impulsivity was frequently detected among obese people38-41. Similar to the results herein, in a clinical study in Spain with obese patients42, it was observed a positive histories of family obesity, personal psychiatric disorders, compulsive eating disorders, and consumption of foods high in sugar. In the same study42, personality characteristics, such as loss of control (impulsivity), low self-esteem, depression, and anxiety, were detected in about half of the patients.

Despite the association detected between mental health problems and eating behaviour, such behaviours do not fulfill the criteria for a specific eating disorder, so they can be often not considered as pathological and can be not taken into account in prevention and treatment of obesity. Therefore, it is important to understand that obesity management requires integral interventions.

Eating behaviour and waist circumference: For assessment of overweight and obesity the use of both indicators, WC and BMI, simultaneously improves health risk prediction as compared to BMI only. However, several studies have shown that elevated WC is a better predictor of metabolic and cardiovascular diseases than BMI27,43.

In our study, students with abdominal obesity (elevated WC) presented more eating behaviour alterations than those with normal WC (e.g. constantly feeling hungry and overeating, have difficulty to stop eating, have problem to eat regularly, as well as binge eating and carbohydrate craving). Higher WC was associated with age, female sex, and parents' obesity. Our findings also reinforce the importance of family history of obesity, which could be related to genetic predisposition or an "obesogenic" family environment6,7.

Finally, given that mental health problems can be either causes or consequences of overweight and obesity (or both), it is important to emphasize that for this group is crucial to consider an individual preventive/therapeutic plan. The cognitive-behavioural changes (developing assertiveness, problem solving techniques and coping strategies) and developing of eating patterns can help to reduce body weight, prevent relapse and treatment dropout44-45.


The study was carried out with a specific non-clinical population (first-year university students) with fairly low prevalence of abdominal obesity, so caution should be taken in extrapolating the results and its comparison with other population groups. Another limitation was that BMI data were self-reported (which could be underestimated in self-reported questionnaires); however, a good correlation was observed with WC. More precise techniques for assessment of obesity could be useful for future studies. In addition, the instrument applied to detect eating behaviour problems has not been validated; however, this questionnaire showed a good association with overweight and obesity in the study group and offered a satisfactory reliability score. Finally, self-reported questionnaires related to mental health evaluation (depression, anxiety, and impulsivity) do not diagnose psychiatric disorders, but only identify symptoms related to these conditions. In this study, anxiety scores were not associated with altered eating behaviour, probably because of the low number of students who met the diagnostic criteria of the applied instrument. In addition, physical activity should be considered in studies of obesity and mental health.



Due to relation of disturbed eating behaviour with mental health symptoms and its association with being overweight and obese, it is important to emphasize the psychological aspects in prevention and treatment of obesity. As the vision of this component is often limited or excluded, personality assessment is essential for all obese individuals.

Regarding university students, preventive programs directed at development of eating habits and physical activity along with strategies for the management of emotions should be a key component. Interventions would benefit from the incorporation of impulsivity-reduction techniques and the promotion of positive mood. The efficiency of institutional services, promotion of sports and cultural extracurricular activities, educational nutrition programs, thematic workshops, as well as individual or group cognitive-behavioural therapy may contribute to the development of healthy eating behaviours.



The authors wish to thank Arturo Rueda and Vicente Ampudia, computing staff of the Metropolitan Autonomous University, and Hector Javier Delgadillo Gutiérrez for his collaboration in the survey. Also the authors thank the support of Dr. Adelita Sánchez Flores†, responsible for the "Healthy University" program.



1. Flegal KM, Carroll MD, Kit BK, Ogden CL. Prevalence of obesity and trends in the distribution of body mass index among U.S. adults. JAMA 2012; 307 (5): 491-7.         [ Links ]

2. Gutiérrez JP, Rivera DJ, Shamah LT, Villalpando HS, Franco A, Cuevas NL. Encuesta Nacional de Salud y Nutrición 2012. Datos Nacionales. México: Instituto Nacional de Salud Pública; 2012.         [ Links ]

3. Horwitz M, Tusie M, Calzada R, Vázquez V. La obesidad y el síndrome metabòlico como problema de salud pública. Una reflexión. Primera parte. Salud Ment 2008; 31 (6): 489-96.         [ Links ]

4. Unikel C, Bojórquez I, Villatoro J, Fleiz-Bautista C, Medina-Mora ME. Conductas alimentarias de riesgo en población estudiantil del Distrito Federal. Tendencias 1997-2003. Rev Invest Clin 2006; 8 (1): 15-27.         [ Links ]

5. Lora-Cortez CI, Saucedo-Molina TJ. Conductas alimentarias de riesgo e imagen corporal de acuerdo al índice de masa corporal en una muestra de mujeres adultas de la Ciudad de México. Salud Ment 2006; 29 (3): 60-7.         [ Links ]

6. Willer C, Speliotes E, Loos R, Shengxu L, Lingren C, Heid I. Six new loci associated with body mass index highlight a neuronal influence on body weight regulation. Nat Genet2009; 41 (1): 25-34.         [ Links ]

7. Papas M, Alberg A, Ewing R, Helzlsouer K, Gary T, Klassen A. The built environment and obesity. Epidemiol Rev 2007; 29 (1): 129-43.         [ Links ]

8. Gariepy G, Nitka D, Schmitz N. The association between obesity and anxiety disorders in the population: a systematic review and meta-analysis. Int J Obes 2010; 34 (3): 407-19.         [ Links ]

9. Pompa Guajardo E, Montoya Flores BI. Evaluación de la manifestación de ansiedad y depresión en niños con sobrepeso y obesidad en un campo de verano. Psicología y salud 2011; 21 (1): 119-24.         [ Links ]

10. Scott KL, Bruffaerts R, Simon GE, Alonso J, Angermeyer M, De Girolamo G. Obesity and mental disorders in the general population: results from the world mental health surveys. Int J Obes 2008; 32 (1): 192-200.         [ Links ]

11. Simon G, Von Korff M, Saunders K, Miglioretti D, Crane P, Van Belle G, Kessler R. Association between obesity and psychiatric disorders in the US adult population. Arch Gen Psychiatry 2006; 63 (7): 824-30.         [ Links ]

12. Strine T, Mokdad A, Dube S, Balluz L, González O, Berry J. The association of depression and anxiety with unhealthy behaviours among community-dwelling US adults. Gen Hosp Psychiatry 2008; 30 (2): 127-37.         [ Links ]

13. Zysberg L, Rubanov A. Emotional intelligence and emotional eating patterns: a new insight into the antecedents of eating disorders? J Nutr Educ Behav 2010; 42 (5): 345-8.         [ Links ]

14. Anderson SE, Cohen P, Naumava EN. Association of depression and anxiety disorders with weight change in a prospective community-based study of children followed up into adulthood. Arch Pediatr Adolesc Med 2006; 160 (3): 285-91.         [ Links ]

15. Zipper E, Vila G, Dabbas M. Obesity in children and adolescents, mental disorders and familial psychopathology. Press Med 2001; 30 (3): 1489-95.         [ Links ]

16. American Psychiatric Association. Diagnostic and Statistical Manual of Mental Disorders. 4th ed. Text Revision. Washington: American Psychiatric Press; 2000.         [ Links ]

17. Colantioni C, Rada P, McCarthy J, Patten C, Avena N, Chadeayne A y Hoebel B. Evidence that intermittent excessive sugar intake causes endogenous opioid dependence. Obes Research 2002; 10 (6): 478-88.         [ Links ]

18. Spoor S, Bekker M, van Strien T, van Heck G. Relation between negative effect, coping, and emotional eating. Appetite 2007; 48 (3): 368-76.         [ Links ]

19. Van Strien T, Herman CP, Verheijden MW. Eating style, overeating, and overweight in a representative Dutch sample. Does external eating play a role? Appetite 2009; 52 (2): 380-7.         [ Links ]

20. Whiteside U, Chen E, Neighborn C, Hunter D, Lo T, Larimer M. Difficulties regulation emotions. Do binge eaters have fewer strategies to modulate and tolerate negative affect? Eat Behav 2007; 8 (2): 162-9.         [ Links ]

21. Dooris M, Doherty S. Healthy Universities: current activity and future directions-findings and reflections from a national-level qualitative research study. Glob Health Promot 2010; 17 (3): 6-16.         [ Links ]

22. Jomaa LH, McDonnelL E, Weirich E, Hartman T, Jensen L, Probart C. Student involvement in wellness policies: a study of Pennsylvania local education agencies. J Nutr Educ Behav 2010; 42 (6): 372-9.         [ Links ]

23. Loria Kohen V, Gómez Candela C, Lourenco Noguera N, Pérez Torres A, Castillo Rabaneda R, Villarino Marin M. Evaluación de la utilidad de un programa de educación nutricional en trastornos de la conducta alimentaria. Nutr Hosp 2009; 24 (5): 558-67.         [ Links ]

24. Agudelo DM, Casadiegos CP, Sánchez DL. Características de ansiedad y depresión en estudiantes universitarios. International Journal of Psychological Research 2008; 1 (1): 34-9.         [ Links ]

25. Kristjánsson AL, Sigfúsdóttir ID, Allegrante JP. Health behaviour and academic achievement among adolescents: the relative contribution of dietary habits, physical activity, body mass index, and self-esteem. Health Educ Behav 2010; 37 (1): 51-64.         [ Links ]

26. Demidenko E. Sample size determination for logistic regression revisited. Stat Med 2007; 26 (18): 3385-97.         [ Links ]

27. González A, Amancio O, Islas S, Revilla C, Hernández M, Lara A. Factores de riesgo cardiovasculares asociados a obesidad abdominal en adultos aparentemente sanos. Rev Med Inst Mex Seguro Soc 2008; 46 (3): 273-9.         [ Links ]

28. World Health Organization.         [ Links ]

29. Sánchez-Carracedo D, Raich RM, Figueras M, Torras J, Mora M. Adaptación preliminar del cuestionario de alimentación de Stuncard y Messic (Three factor eating questionnaire, TFEQ) con una muestra española universitaria. Psicol Conductual 1999; 7 (3): 393-416.         [ Links ]

30. Torrent C, Vieta E, García García M. Validation of the Barcelona Bipolar Eating Disorder Scale for Bipolar Patients with Eating Disturbances. Psychopathology 2008; 41 (6): 379-87.         [ Links ]

31. Abramson JH, Abramson ZH. Survey methods in community medicine. 5th ed. Edinburgh: Churchill Livingstone; 1999.         [ Links ]

32. Jurado S, Villegas M, Méndez L, Rodríguez F, Loperena V, Varela R. La estandarización del Inventario de Depresión de Beck para los residentes de la Ciudad de México. Salud Ment 1998; 21 (3): 26-31.         [ Links ]

33. Páez F, Jimenez, A, Lopez A, Raull JP, Ortega H, Nicolini H. Estudio de validez de la traducción al castellano de la Escala de Impulsividad de Plutchik. Salud Ment 1996; 19 (Supl. 1): 10-2.         [ Links ]

34. Bobes J, García-Calvo C, Prieto R, García-García M, Rico-Villademoros F. Propiedades psicométricas de la versión española de la Escala de Detección del Trastorno de Ansiedad Generalizada según DSM-IV de Carroll y Davidson. Actas Esp Psiquiatr 2006; 34 (2): 83-93.         [ Links ]

35. Huang TT, Harris KJ, Lee RE, Nazir N, Rorn W, Kaur H. Assessing overweight, obesity, diet, and physical activity in college students. J Am Coll Health 2003; 52 (2): 83-6.         [ Links ]

36. Arrolo Izaga M, Rocandio Pablo AM, Ansotegui Alday L, Pascual Apalauza E, Salces Beti I, Rebato Ochoa E. Calidad de la dieta, sobrepeso y obesidad en estudiantes universitarios. Nutr Hosp 2006; 21 (6): 673-9.         [ Links ]

37. Moral de la Rubia J, Meza Peña C. Predicción de alteraciones de conducta alimentaria en mujeres mexicanas. Salud Ment 2012; 35 (6): 491-7.         [ Links ]

38. Guerrieri R, Nederkoom C, Jansen A. The interaction between impulsivity and a varied food environment: its influence on food intake and overweight. Int J Obesity 2008; 32(4):708-14.         [ Links ]

39. The interactive effect of hunger and impulsivity on food intake and purchase in a virtual supermarket. 2009; 33 (8): 905-12.         [ Links ]

40. Davis C. Psychobiological traits in the risk profile for overeating and weight gain. Int J Obes 2009; 33 (Suppl. 2): S49-53.         [ Links ]

41. Guerrieri R, Nederkoorn C, Schrooten M, Martijn C, Jansen A. Inducing impulsivity leads high and low restrained eaters into overeating, whereas current dieters stick to their diet. 2009; 53 (1): 93-100.         [ Links ]

42. Delgado-Calvette C, Morales-Gorria M, Chimeno-Maruri I. Alimentary conducts, body attitudes and psychopathology in morbid obesity. Actas Esp Psiquiatr 2002; 30 (6): 376-81.         [ Links ]

43. Janssen I, Katzmarzyk PT, Ross R. Waist circumference and not body mass index explains obesity-related health risk. Am J Clin Nutr 2004; 79 (3): 379-84.         [ Links ]

44. Annesi JJ, Whitaker AC. Psychological factors associated with weight loss in obese and severely obese women in a behavioral physical activity intervention. Health Educ Behav 2010; 37 (4): 593-606.         [ Links ]

45. Vilariño Besteiro MP, Pérez Franco C, Gallego Morales L, Calvo Sagardoy R, García de Lorenzo y Mateos A. La razón y la emoción: integración de las intervenciones cognitivo-conductuales y experiencia en el tratamiento de los trastornos de alimentación de larga evolución. Nutr Hosp 2009; 24 (5): 614-17.         [ Links ]



María Esther Irigoyen-Camacho.

Recibido: 5-VI-2013.
1.a Revisión: 14-IX-2013.
Aceptado: 18-IX-2013.

Creative Commons License All the contents of this journal, except where otherwise noted, is licensed under a Creative Commons Attribution License