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Article

Emotional Education as Coping Strategy for Exhaustion and Dysfunctional Eating Habits

by
Eva Urbón
1,2,* and
Carlos Salavera
1,2,*
1
OPIICS Observatorio para la Innovación e Investigación en Ciencias Sociales, Universidad de Zaragoza, C/Pedro Cerbuna, 12, 50009 Zaragoza, Spain
2
Department of Psychology and Sociology, Faculty of Education, University of Zaragoza, 50009 Zaragoza, Spain
*
Authors to whom correspondence should be addressed.
Soc. Sci. 2023, 12(8), 447; https://doi.org/10.3390/socsci12080447
Submission received: 29 May 2023 / Revised: 20 July 2023 / Accepted: 20 July 2023 / Published: 8 August 2023
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Abstract

:
Work shifts affect eating habits, social relationships in the workplace, and, more broadly, the physical and mental health of health professionals. The aim of this research was to differentiate BMI, eating behavior, and burnout between shift and non-shift nurses. The study involved 194 nurses (63% of whom work shifts and 37% of whom do not) who completed sociodemographic questionnaires, eating behavior questionnaires, and an exhaustion inventory (Maslach Burnout Inventory). The results showed that shift nurses were twice as likely to skip meals and obtained higher exhaustion scores. In conclusion, the need to establish prevention plans to promote adequate food intake and healthier eating behaviors among health professionals, while promoting specialized training in emotional education in order to prevent mental health problems, is emphasized.

1. Introduction

Most of our daily time is spent working; even when a worker is unemployed, part of that time is used to find paid employment. Work structures our time, not just the hours we spend working daily, but also the time we spend eating, the time of day we leave work, how many hours we sleep, the time of day we go to bed, the time we go to work, etc., and also shapes our weekly time—weekly holidays, the time we invest in leisure activities, etc.—in other words, our whole lifestyle (Salanova et al. 1996). Leisure activities depend on the hours we follow, and the free time available for family and social life determines the well-being of workers.
Working conditions have a significant impact on the physical and mental health of workers. Working hours structure our time and impose external restrictions that condition all our activities.
Currently there is no agreement on the definition of shift work, which is commonly defined as a response that companies give to the demands of the working environment beyond “conventional office hours” (Knutsson 1989; Virtanen et al. 2012). The term itself is quite vague and refers to “any organization of working hours different from the traditional one, understood as the one that develops from morning until the end of the afternoon”. The typology of work shifts and its consequences depend on the number of rotations, the support staff, the duration of the day, the number of hours worked at night, the inclusion or not of weekends, the direction of rotation for changing shifts, the moment when the rotation begins and ends in turn, time intervals between rotations, etc. (Vogel et al. 2012).
Shift work has effects on the worker, especially concerning two vital mechanisms for the person: the mismatch of biological rhythms (both with regard to the external environment and as a lack of internal synchronization) and sleep deprivation. The health consequences occur with greater intensity in rotating and night shifts, and include coronary disease, brain-vascular, depression, metabolic syndrome, cancer risk, obesity, reproductive and pregnancy problems, accident, and immunological disorders (Serra 2013).
It is important to stress that work shifts, especially night shifts, have negative consequences for the worker, not only at the biological level, but also at the psychological and social levels (Vogel et al. 2012).
The negative consequences of work shifts include overweight- and obesity-related disorders. A bibliographic review of studies published between 1960 and 2008 reveals multiple studies on this topic. One study argued that weight gain, overweight, and obesity are more frequent in shift workers (47.2% of workers were overweight and 2.8% obese) (Antunes et al. 2010), and another study, conducted in different Mediterranean populations, yielded similar results, with 62.4% and 15.7% of workers being overweight and obese respectively. The authors point out that the increase in BMI is independent of the age of the subjects or the amount of time they have been working in shifts (Di Lorenzo et al. 2003).
Research has shown the relationship between shift-working and body weight issues (Fukumura et al. 2015; Yoshizaki et al. 2010). Working night shifts also increases the likelihood of gaining weight; persisting obesity; excessively frequent intake of food; and a poor diet (Amani and Gill 2013; Chee et al. 2004; Di Lorenzo et al. 2003; Escasany et al. 2008; Obberliner and Ott 2009; Smith et al. 2013; Sonati et al. 2015; Zhao et al. 2012), leading to increased risk of cardiovascular conditions, diabetes, obesity (Scheer et al. 2004; De Souza Palmeira and Marqueze 2016), eating disorders (Bonet et al. 2009), maladapted eating habits, and the intake of poor food (Nejman and Gotlib 2017).
However, the relationship between eating behaviors and shift-working has been paid little attention by Spanish researchers. The aim of this study is to establish whether shift-working nurses present a higher body mass index (BMI) and less healthy eating habits and attitudes, and whether they are more vulnerable to professional burnout, than nurses that do not work shifts.
Shift work also has an effect on burnout. Freudenberger (1974) was the first to define burnout, which was characterized as a psychological condition undergone by professionals working with people; it comprises a series of medical, biological, and psychosocial symptoms triggered by excessive demands in the workplace (Faura 1990). Burnout syndrome is a consequence of chronic stress, and is characterized by emotional exhaustion, depersonalization, and low professional satisfaction. It often affects professionals working under a heavy burden of responsibility or with people at risk (Magalhaes et al. 2015).
Nurses and other healthcare professionals are at high risk of suffering from this syndrome, especially those working night shifts (Flores-Villavicencio et al. 2010; Magalhaes et al. 2015). Variables that can exacerbate this predisposition are the department in which these professionals work; age; time spent working shifts; professional category; and seniority (Ilhan et al. 2008; Gutiérrez et al. 2015; Shahriari et al. 2014).
Shift-working nurses who yield higher burnout scores are more vulnerable to certain eating habits, such as stress eating and anomalous eating behaviors (Almajwal 2016; Neparevá et al. 2012). Burnout is positively correlated to the intake of fast food, insufficient physical exercise, alcohol consumption, and the consumption of painkillers (Alexandrova-Karamanova et al. 2016). Emotional education is a useful tool to prevent these physical and emotional health issues (Wu et al. 2007), as it will facilitate the acquisition of non-cognitive skills to successfully cope with difficulties (Bar-On 1997).
Emotionally intelligent persons, in addition to having a greater capacity to perceive, understand, and regulate their own emotions (which has a positive effect on their personal well-being), can also do so with the emotions of others, leading to healthier professional, social, family, and personal relationships. Persons with low emotional intelligence are predisposed to stress, anxiety, depression, and inter-personal conflict; high emotional intelligence is generally associated with good physical and psychical health (Ciarrochi et al. 2000; Extremera and Fernández-Berrocal 2005; Ferragut and Fierro 2012).
The aim of this study is to analyze the relationship between shift work, burnout syndrome, and weight. The study was based on two initial hypotheses: (1) women will show higher levels of burnout than men; and (2) people working in shifts will have higher levels of stress and higher BMI.

2. Methodology

2.1. Participants

A study was designed to establish correlations between several relevant variables. Inclusion criteria were being employed as a nurse in a public health center in the city of Zaragoza and fully completing all questionnaires. The initial number of participants was 357, of which 119 were ruled out for different reasons. Of the 238 participants who responded correctly to the questionnaires, 37 were also discarded, as they were employed as guardians or did not complete the questionnaires, and therefore did not meet the inclusion criteria. As such, the final sample comprises 194 participants (85.1% of which were women and 14.9% of which were men), averaging 42.59 years of age. They work as nurses in public hospitals in the city of Zaragoza; 71 of the participants do not work shifts, and 123 do so. All participants were asked to sign an informed consent form, and all the ethical considerations set forth in the Declaration of Helsinki were observed. The study was evaluated and approved by the Ethics Committee of the OPIICS research group (S46_20R), Department of Psychology and Sociology, University of Zaragoza. All ethical criteria for research with human beings were observed (volunteer participation, informed consent, right to information, data protection, confidentiality, non-discrimination, gratuity, and the right to abandon the study in any stage). The study was designed as a prospective ex–post facto analysis with pre- and post-measurements (Ato and Vallejo 2015). All results were handled anonymously.

2.2. Instruments

In addition to a sociodemographic questionnaire to establish eating habits, it was necessary to use an instrument to evaluate the levels of burnout. For the correction of standardized questionnaires, average scores were used. The instruments used to measure these variables were: (1) Sociodemographic and eating habits questionnaire (60 items, Cronbach’s alpha: 0.85), with the objective of evaluating sociodemographic variables and professional and eating habits: age, sex, weight and size, type of shifts, working time, professional seniority, number of meals per day, skip meals, eat between meals, or eat fast; and (2) Maslach Burnout Inventory (Maslach and Jackson 1986), with 22 items, to evaluate professional burnout (emotional exhaustion α: 0.85, depersonalization α: 0.77, efficacy α: 0.74).

2.3. Protocol

After contacting hospital management to request permission to undertake the study, the questionnaires were handed over to their nursing staff. In order for the authorization to be issued we had to submit a full account of the project’s targets, the tests to be undertaken, the working hypotheses, etc. Once the project was deemed viable by the hospitals’ respective research committees, fieldwork could begin. The data collection period was one month. The bilateral significance level for all tests was p < 0.05. The Kolmogorov–Smirnov Test was also used to establish the normality of the dataset. As some variables presented non-normal distributions, it became necessary to adjust these scores through a logarithm. The aim was to detect significant differences in body weight and eating behaviors depending on working regimes and sociodemographic variables; Student’s t-test was used for continuous variables and the χ2 test for categorical variables. In both cases, odds ratios (OR) and their corresponding p-values were obtained.

3. Results

Table 1 presents some characteristics of the sample, grouped according to work shifts and as a total sample.
Despite there being no significant differences between the two groups, the division of the sample into groups by BMI (normoweight and overweight), and of these groups into subgroups (men and women), revealed a significantly higher proportion of overweight participants among shift-working female nurses (46%) than among nurses that do not work shifts (17.5%) (χ2 = 3.835, p < 0.05). Shift-working female nurses were found to be nearly three times more at risk of overweight than non-shift-working nurses (OR = 2.87).
In order to further examine this issue (Table 2), the variable “time spent working shifts” (expressed as the number of months elapsed since nurses began working shifts) was taken into consideration, and this led to the expected conclusion that those women who have been working shifts for longer are more likely to suffer overweight (t = −3.63, p = 0.000).
In relation to eating behaviors, it was found that shift work acted as a risk factor for skipping meals. The likelihood of this behavior was found to be 69.7% higher during night shifts; night-shift nurses were found to be more than twice as likely to skip meals than nurses that do not work shifts (OR = 2.30) (see Table 3). It was also observed that overweight nurses were 69.5% more likely to skip meals (OR = 2.28). Consuming food at mid-morning can act as a protective factor for nurses within the normoweight bracket (OR = 0.39) (Table 4).
Table 5 and Table 6 present Student’s t results for shift-working nurses and nurses that do not work shifts, and for overweight and normoweight participants in relation to burnout. Shift-working nurses yielded higher scores for depersonalization (t = −2.40, p = 0.015) and burnout (t = −2.06, p = 0.040). That is, they are not only more likely to suffer “burnout” but they also present cooler and more detached attitudes towards the people with whom they work than nurses that do not work shifts. Overweight respondents yielded higher scores than normoweight respondents in terms of emotional exhaustion (t = −2.86, p = 0.005), which, according to the designers of the questionnaire, is the best predictor for feelings of burnout, triggered by professional demands.
Finally, node analysis was undertaken to analyze sex-sensitive connections between BMI and burnout. Figure 1 (women) and Figure 2 (men) illustrate the resulting network structure, which has four nodes with six non-zero edges. In women, a direct correlation between BMI and exhaustion and depersonalization was found; that is, the greater the BMI, the greater exhaustion and depersonalization will be. In contrast, it was also found that, in men, the greater the BMI the less exhaustion and depersonalization there will be. With regard to the third component of burnout, efficacy, it was noted that women with higher BMI are less effective, while men with a higher BMI yield greater efficacy values. Therefore, network analysis helps to explain how sex correlates differently with the variables involved in burnout, which is in itself of great interest.
Finally, in order to determine what dependent variables could have the greatest effect on overweight, a multiple logistic regression analysis was undertaken. The coefficients associated with the independent variables female (p = 0.000); age (p = 0.000); body dissatisfaction (p = 0.000); meal breaks (p = 0.003); EAT-40 (p = 0.007); ineffectiveness (p = 0.013); emotional fatigue (p = 0.016); and snacking between meals (p = 0.044); are significant.
The likelihood of overweight is determined by the following equation: Logit (p) = −3.27 − 4.35 × sex + 0.15 × age + 0.29 × body dissatisfaction + 1.98 × lunch breaks − 0.30 × EAT40 − 0.35 × ineffectiveness + 0.24 × emotional tiredness + 1.79 × snacking between meals.
Older women who are dissatisfied with their bodies, skip meals, snack between meals, and are more emotionally tired are at increased risk of overweight. In contrast, high scores in the EAT questionnaire and on the scale of ineffectiveness, and low EDI-related self-esteem, are consistent with less-at-risk respondents.
Table 7 presents the Beta coefficient. which reflects the explanatory hierarchy of each independent variable (based on its explanatory weight) in relation to the dependent variable (overweight). In this case, it is observed that, following the equation presented above, sex (−4.35) and inappropriate eating behaviors—snacking between meals (1.79) and skipping meals (1.98)—are the variables that increase the likelihood of overweight among nursing staff the most.

4. Discussion

The results of this study are important from an economic, social, and labor perspective. Avoiding excessive exposure to shift work and implementing measures to encourage healthy eating habits (the creation of pleasant dining areas; easy access to healthy foods; the reorganization of working schedules; the implementation of ample lunch breaks; food education) as well as developing training plans that improve the nurses’ emotional skills, are necessary measures to improve the overall health in this professional group while significantly reducing economic costs. Now more than ever, it is necessary to establish personalized, organizational, preventive, and palliative guidelines and measures to reduce the various health problems faced by nursing professionals.
Although no significant differences were found between shift-working and other nurses in terms of BMI, previous studies suggest that nurses working rotating and night shifts present higher BMIs than nurses that work fixed daytime shifts (Smith et al. 2013), as well as a being more vulnerable to overweight and obesity (Ruíz de la Fuente et al. 2010). However, other authors argue that night shifts do not necessarily lead to weight gain (Bekkers et al. 2015), and that excess weight can be explained by other complex interactions, such as professional categories, sleep regimes, underlying health factors (De Souza Palmeira and Marqueze 2016; Kim et al. 2013), and professional stress (Almajwal 2016). Others argue that night shifts are a risk factor for nurses who present a high lipid profile (Ghiasvand et al. 2006) or who are obese (Zhao et al. 2012). By contrast, Gomez et al. (2016) and Geliebter et al. (2000) found no significant relationships between shift regime and BMI, in line with our own results.
When it was suspected that other variables might be having an effect on BMI, as suggested by recent publications, the sample was divided into groups (normoweight and overweight and by sex). This showed that shift-working female nurses are three times more likely to be overweight than those who do not work shifts. This conclusion agrees with Escasany et al. (2008), whose results indicate that 35% of female nurses working night shifts are overweight and 41% are obese, and Chee et al. (2004), who also argued that female nurses working night shifts are at higher risk of being overweight than those not working shifts. On the other hand, Jermendy et al. (2012) concluded that female nurses working shifts are at an increased metabolic risk, not owing to shift-working in itself but to their overall lifestyle. Griep et al.’s (2014) data indicate that the highest BMI is found among male nurses working shifts.
Another variable to be contemplated was the time they had been working shifts, finding that women in the sample who are overweight have in general been working shifts for longer. These results agree with those presented by Parkes (2002) and Tanaka et al. (2010).
Shift work not only can increase the risk of overweight, but it was also found that overweight female nurses in the sample were generally those who have been subject to shift-working for the longest. In relation to the first aim of this study, it would be desirable to use a more balanced sample in terms of sex, although the fact remains that most nurses are women.
With regard to eating behavior, the results agree with Fukumura et al. (2015), who found that shift-working nurses are especially likely to skip meals, and Griep et al. (2014), who associated shift work with inadequate eating habits. It has been argued that shift-working nurses who are subject to a steady shift schedule do not necessarily present maladapted eating habits, but that working, night shifts can trigger maladapted eating habits such as skipping meals (Nogareda 1986). Murray et al. (2013) determined that shift work negatively affects eating habits in a significant way. Diet is the main contributing factor to a healthy lifestyle and the prevention of chronic disease, and should take priority in health and safety plans for the nursing profession.
Various studies also indicate that night-shift nurses are the most likely to skip breakfast (Ohtsuka and Sudo 2001; Yoshizaki et al. 2010), because with the usual time schedules, they are likely to be asleep during breakfast time. However, it is worth pointing out that shift-working nurses were likely to take between-meal snacks, while being those who skip main meals most often. This agrees with the results published by Da Silva et al. (2015) and Yoshizaki et al. (2010).
We also found that a mid-morning snack can contribute to avoiding weight gain. Araujo (2012) concluded that shift-working nurses who never have breakfast are often overweight; Yoshizaki et al. (2010) also in that shift-working nurses who often skip lunch present higher BMIs.
Regarding the relationship between burnout and shift working, our results agree with Buja et al. (2013), Bellolio et al. (2014), and Jamal (2004). They concluded that shift-working increases the likelihood of burnout. Shahriari et al. (2014), in contrast, concluded that nurses working fixed shifts are more likely to suffer from burnout. Future research should take other variables into consideration, such as hours of sleep (Chin et al. 2015); professional seniority (Magalhaes et al. 2015; Flores et al. 2013); the department in which different nurses work (Shahriari et al. 2014); the number of working hours per week (Bellolio et al. 2014); professional category (Wu et al. 2007); and age (Ilhan et al. 2008).
Finally, the network analysis to establish correlations between sex and the variables involved in exhaustion, a question noted by some previous studies in relation to sex and BMI (Abbasi et al. 2019; Gaviria and Ammerman 2023) or to sex and exhaustion (Armon et al. 2008; Höglund et al. 2020), but never jointly, which is in itself a sufficient stimulus to continue our research.

4.1. Limitations of the Investigation

The present investigation has some limitations, so the results need to be taken with due caution. The data were collected through a cross-sectional design study, which undoubtedly affects the possibility of establishing causal relationships. Moreover, the evaluation tools used were self-reporting scales, which can lead to bias linked to the common variance method. It is, therefore, desirable to collect information from additional sources, such as the respondent’s families. Moreover, the methodology used can lead to self-report bias, although when the construct that is being measured is not sensitive in nature, self-reporting tends to be more accurate. Finally, although the sample is statistically relevant, it needs to be expanded to other strata of the healthcare community (doctors, administrative and auxiliary staff, etc.) and/or other healthcare sectors (hospital, primary care, etc.) where the association between these constructs (food, burnout, and shift work) can be measured more effectively. It is also desirable to undertake longitudinal studies to assess the evolution of burnout and eating disorders according to shifts in healthcare professionals over time.

4.2. Future Prospects

Future studies should examine the role played by efficient regulation of shiftwork in the well-being of health workers, as well as its influence on body weight and burnout. The fact that health workers feel competent and valued in their work is a prerequisite for their well-being and vice versa. In addition, it is important to work on the socio-emotional competence of health workers, in order to promote their emotional well-being, decreasing burnout levels and helping to better regulate their body weight, in addition to fostering greater job satisfaction and a sense of personal achievement (Jennings 2008). To achieve this, investing in the well-being of health care workers must be a priority for society, providing this sector with more human, economic, and material resources. It is also necessary to develop positive working conditions that lead to the well-being of healthcare workers and encourage more effective professional practices (Addimando 2019). Similarly, programs run by professionals in psychology and education can also help improve the well-being of health care providers, helping to improve retention rates.

5. Conclusions

In conclusion, it can be argued that working shifts affect eating habits and psychological traits that impact eating and burnout. Nurses working shifts yield higher burnout scores, as well as cooler and more detached attitudes. Overweight nurses tend to yield higher scores in emotional exhaustion and are thus less able to cope with the pressure posed by their professional environment.
Diet is the most significant health factor in the long term, and a key element in the prevention of chronic conditions; it must, therefore, be given priority in the health plans for nurses.
The results of our study can open new research avenues to continue exploring the relationship between personality traits, BMI, and shift-working. The importance of prevention plans in which the emotional health of nurses is emphasized cannot be overstressed.
As such, hospital prevention departments must consider these priorities in risk assessment plans so that a healthy lifestyle is promoted, leading to greater well-being among their staff. Training plans in the field of emotional education must be put in place to help nurses acquire the skills with which to deal with their emotions adequately.

Author Contributions

Conceptualization, E.U. and C.S.; methodology E.U. and C.S.; formal analysis, E.U. and C.S.; investigation, E.U. and C.S.; data curation, E.U. and C.S.; writing—original draft preparation, E.U. and C.S.; writing—review and editing, E.U. and C.S.; funding acquisition, E.U. and C.S. All authors have read and agreed to the published version of the manuscript.

Funding

This study was performed by Research Group OPIICS (S46_23R), University of Zaragoza (Zaragoza, Spain), and was supported by research funds provided by the Department of Science and Technology of the Government of Aragón (Spain) and the European Social Fund.

Institutional Review Board Statement

The study was conducted according to the guidelines of the Declaration of Helsinki, and approved by the Ethics Review Committee of OPIICS research group (S46_23R), Psychology and Sociology Department, Universidad de Zaragoza.

Informed Consent Statement

Informed consent was obtained from all subjects involved in the study.

Data Availability Statement

The data presented in this study are available on request from the corresponding author.

Conflicts of Interest

The authors declare no conflict of interest.

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Socsci 12 00447 g001
Figure 1. Relationship between BMI and burnout (women).
Figure 1. Relationship between BMI and burnout (women).
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Figure 2. Relationship between BMI and burnout (men).
Figure 2. Relationship between BMI and burnout (men).
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Table 1. Characterization of the sample.
Table 1. Characterization of the sample.
VariablesNNS
(n = 71)		WNS
(n = 123)		Total
(n = 194)
IMC (kg/m2)23.86 (3.44)24.07 (3.98)23.99 (3.78)
Normoweight48 (67.60)83 (64.47)131 (67.52)
    Women45 (34.4%)80 (61.1%)125 (95.4%)
    Men3 (2.3%)3 (2.3%)6 (4.6%)
Overweight23 (32.40)40 (35.33)63 (32.47)
    Women11 (17.5%)29 (46%) *40 (63.5%)
    Men12 (19%)11 (17.5%)23 (36.5%)
Age44.52 (9.77) *41.48 (11.96)42.59 (11.28)
Sex
Women56 (78.87)109 (88.61)165 (85.05)
Men15 (21.12)14 (11.39)29 (14.95)
Professional seniority
More than five years43 (60.6%)77 (62.6%)120 (61.9%)
Less than five years28 (39.4%)46 (37.4%)74 (38.1%)
Note: NNS: No night shifts; WNS: With night shifts. Normoweight (18.5 kg/m2 ≤ IMC ≤ 24.99 kg/m2). Overweight (IMC ≥ 25 kg/m2). Cells represent average and standard deviations. Cells represent frequencies and percentages relative to the same group. * p < 0.05.
Table 2. Time working shifts according to BMI.
Table 2. Time working shifts according to BMI.
Time Working Shifts (in Months) Normoweight
(n = 131)		Overweight
(n = 63)		Total
(n = 194)
  Women102.9 (135.81)195.70 (154.59) ***123.39 (145.67)
  Men61 (118.33)77 (116.15)73.69 (114.64)
Note: Normoweight (18.5 kg/m2 ≤ IMC ≤ 24.99 kg/m2). Overweight (IMC ≥ 25 kg/m2). Cells represent averages and standard deviations, *** p > 0.001.
Table 3. Food behaviors based on working shifts.
Table 3. Food behaviors based on working shifts.
NNS
(n = 71)		WNS
(n = 123)		OR
(95% CI)		p
Mean meals you make
Snacking20 (28.2)53 (43.1)1.93 (1.03–3.61) *0.03
Skipping meals15 (21.1)47 (38.2)2.30 (1.17–4.53) *0.01
Snacking between meals56 (78.9)107 (87)1.79 (0.82–3.88)NS
Eating fast19 (26.8)40 (32.5)1.31 (0.69–2.51)NS
Eating alone28 (39.4)41 (33.3)0.76 (0.41–1.40)NS
Note. NNS: No night shifts; WNS: With night shifts. Cells represent absolute frequencies and percentages relative to the same OR: Odds ratio group; CI: 95% confidence interval: * p < 0.05; NS: non-significant p-value.
Table 4. Food behaviors according to BMI.
Table 4. Food behaviors according to BMI.
Normoweight
(n = 131)		Overweight
(n = 63)		OR
(95% CI)		p
Mean meals you make
  Mid-morning meal86 (65.6)27 (42.9)0.39 (0.21–0.72) **0.003
Skipping meals34 (26)28 (44.4)2.28 (1.21–4.29) **0.01
Snacking between meals106 (80.9)57 (90.5)2.24 (0.86–5.77)NS
Eating fast41 (31.3)18 (28.6)0.87 (0.45–1.69)NS
Eating alone48 (36.6)21 (33.3)0.86 (0.45–1.62)NS
Note. Normoweight (18.5 kg/m2 ≤ IMC ≤ 24.99 kg/m2). Overweight (IMC ≥ 25 kg/m2). Cells represent absolute frequencies and percentages relative to the same OR: Odds ratio group; CI: 95% confidence interval: ** p < 0.01; NS: non-significant p-value.
Table 5. Test t, scale MBI, shift-working nurses.
Table 5. Test t, scale MBI, shift-working nurses.
NNS
(n = 71)		WNS
(n = 123)		tp
Emotional exhaustion16.04 (9.51)18.35 (10.83)−1.42NS
Depersonalization3.48 (3.75)4.91 (4.12) *−2.400.015
Efficacy37.14 (8.80)35.18 (9.67)1.40NS
Burnout−17.51 (16.90)−12.30 (16.88) *−2.060.040
Note: NNS: No night shifts; WNS: With night shifts. Cells represent averages and standard deviations for each group; * p < 0.05; NS: non-significant p-value.
Table 6. Test t, scale MBI.
Table 6. Test t, scale MBI.
Normoweight
(n = 131)		Overweight
(n = 63)		tp
Emotional exhaustion16.05 (9.44)20.54 (11.67) **−2.860.005
Depersonalization4.12 (4.94)4.94 (4.51)−1.31NS
Efficacy35.74 (9.27)36.22 (9.68)−0.33NS
Burnout−15.63 (16.20)−11.24 (18.41)−1.69NS
** p < 0.01.
Table 7. Multiple linear regression test for overweight in health workers.
Table 7. Multiple linear regression test for overweight in health workers.
Independent VariablesBeta CoefficientStatistical SignificanceStandard ErrorWald StatisticExp(B)
Constant−3.27
Sex−4.350.0000.9520.760.01
Age0.150.0000.0414.851.17
Body dissatisfaction0.290.0000.0812.581.57
Jump meals1.980.0030.668.930.13
EAT-40−0.300.0070.117.380.91
Ineffectiveness−0.350.0130.146.130.92
Emotional tiredness0.240.0160.095.851.54
Snacking between meals1.790.0440.884.050.95
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Urbón, E.; Salavera, C. Emotional Education as Coping Strategy for Exhaustion and Dysfunctional Eating Habits. Soc. Sci. 2023, 12, 447. https://doi.org/10.3390/socsci12080447

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Urbón E, Salavera C. Emotional Education as Coping Strategy for Exhaustion and Dysfunctional Eating Habits. Social Sciences. 2023; 12(8):447. https://doi.org/10.3390/socsci12080447

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Urbón, Eva, and Carlos Salavera. 2023. "Emotional Education as Coping Strategy for Exhaustion and Dysfunctional Eating Habits" Social Sciences 12, no. 8: 447. https://doi.org/10.3390/socsci12080447

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Urbón, E., & Salavera, C. (2023). Emotional Education as Coping Strategy for Exhaustion and Dysfunctional Eating Habits. Social Sciences, 12(8), 447. https://doi.org/10.3390/socsci12080447

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