Hostname: page-component-cd9895bd7-fscjk Total loading time: 0 Render date: 2024-12-25T17:07:15.438Z Has data issue: false hasContentIssue false

Emotional eating and mental health of nurses working in Lebanese hospitals during the double crisis

Published online by Cambridge University Press:  09 October 2024

Rosy Nahed Mitri*
Affiliation:
Department of Nutrition & Dietetics, Faculty of Health Sciences, Beirut Arab University, Tripoli, Lebanon
Zeina El-Ali
Affiliation:
Department of Nutrition & Dietetics, Faculty of Health Sciences, Beirut Arab University, Tripoli, Lebanon
Maha Dankar
Affiliation:
Department of Nursing, Faculty of Health Sciences, Beirut Arab University, Tripoli, Lebanon
*
*Corresponding author: Rosy Nahed Mitri, email: r.metri@bau.edu.lb

Abstract

The 2019 coronavirus (COVID-19) pandemic and strict quarantine increased the likelihood of mental symptoms and abnormal eating behaviours. This study aimed to assess the magnitude of emotional eating (EE) among nurses working in Lebanese hospitals and its association with mental health. A cross-sectional study was conducted among nurses aged between 18 and 50 years working in Lebanese hospitals during the COVID-19 outbreak and the economic crisis. A total of 303 nurses consented to participate. The mean EE score was 28.56 (±8.11). The results of this study revealed that 53.8% of the nurses reported depression, 58.1% suffered from anxiety and 95.1% experienced either moderate or severe stress. The study concluded that females (β = 8.112, P = 0.004), non-smokers (β = –4.732, P = 0.01) and depressed nurses (β = 0.596, P = 0.046) had a higher tendency towards EE. Additionally, it was found that EE was associated with weight gain (β = 6.048, P = 0.03) and increased consumption of fried foods (β = 5.223, P = 0.001). Females experienced more stress (β = 2.244, P = 0.003) and anxiety (β = 1.526, P = 0.021) than their male counterparts. With regard to mental health, depression was associated with weight gain (β = 2.402, P = 0.003) and with lower consumption of healthy foods such as nuts (β = –1.706, P = 0.009) and dishes prepared with sofrito sauce (β = –1.378, P = 0.012). These results can help the health authorities to design preparedness plans to ensure proper mental and physical well-being of nurses during any unforeseen emergencies.

Type
Research Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2024. Published by Cambridge University Press on behalf of The Nutrition Society

Introduction

The COVID-19 outbreak and the public health policies implemented in reaction to it have had negative physical, psychological and mental health consequences for people from all age groups.(Reference Qiu, Shen and Zhao1) In Lebanon, a country already hit by economic crisis and political instability, the effect of the pandemic on mental health has been even more deleterious. Indeed, a study conducted in 2020 revealed that the prevalence of anxiety and depression in Lebanon is about 42% and 42.6% respectively.(Reference Younes, Safwan and Rahal2) These numbers are considerably higher than those reported in a sample of Lebanese adults interviewed between September 2002 and 2003, where the prevalence of anxiety disorders was 16.7% and the prevalence of major depression disorders was 9.9%.(Reference Karam, Mneimneh and Dimassi3)

Concomitantly with the Covid-19 outbreak, Lebanon was undergoing a severe economic crisis, therefore the country was undergoing a so-called “double crisis”. In most countries, even though most restrictions due to the pandemic were lifted by 2022, the stress and the burden on the fragile Lebanese healthcare system wasn’t resolved yet due to the ongoing economic depreciation affecting this system. The devaluation of the Lebanese currency has caused major challenges for many hospitals in Lebanon, making it harder for them to buy essential healthcare supplies.(Reference Sanayeh and Chamieh4)

Negative emotions such as worry, irritation or depression can lead to a compulsive need to eat, or so-called emotional eating (EE).(Reference Ganley5) EE is characterised by the inability to discern between biological hunger signs and the desire to eat to cope with unpleasant feelings.(Reference Bruch6) Eating in response to negative feelings, such as those experienced during the COVID-19 pandemic, can therefore lead to weight gain, which can subsequently adversely affect individuals’ health. In this regard, a Norwegian cohort study revealed that during the COVID-19 pandemic, psychological distress was associated with weight gain, and this association was partially mediated by emotional eating.(Reference Aljedaani7)

When it comes to the association between mental health and emotional eating, nurses are of particular concern. Working irregular shifts, such as mornings, evenings and, especially, night shifts, can result in increased calorie consumption, obesity and a poor-quality diet.(Reference Stockmaster and Talarczyk8) The distribution of energy and nutrient intake has been found to vary based on work shift, with lipid and protein intake for rotating shift workers being associated with higher consumption of beef, eggs, juices, and pasta.(Reference Fradkin, Raz and Boaz9) This is not consistent with nutritious eating regimens like the Mediterranean diet (MD) which is one of the healthiest dietary patterns, emphasising fruits, vegetables, grains, nuts, and greens intake with low to moderate consumption of dairy products (yogurt, cheese), and poultry, with limited consumption of sweets, bakery goods and red meat.(Reference Bach-Faig, Berry and Lairon10) Additionally, the nursing profession is known as being a stressful job, due to the complexity of the assigned tasks.(Reference De Lucia, Cocchiara and La Torre11) During the pandemic, the mental and emotional health of nurses was seriously compromised. Nurses experienced greater rates of depression, anxiety and insomnia during this pandemic (37%, 35% and 43%, respectively), higher rates compared to those during other pandemics, such as Middle East respiratory syndrome (MERS) and Severe acute respiratory syndrome (SARS).(Reference Al Maqbali, Al Sinani and Al-Lenjawi12) Therefore, nurses are very likely to succumb to stress, as well as to adopt unhealthy dietary and lifestyle habits. Moreover, previous studies have associated their mental health with eating habits. In this regard, a cross-sectional study in Turkey revealed that perceived stress is positively associated with EE among nurses and the authors concluded that special programmes should be developed to enable nurses to make healthy dietary choices.(Reference Gürkan, Aydoğdu and Dokuzcan13) Therefore, exploring the extent of EE and its association with mental status among nurses during pandemics and emergencies in different contexts is important to develop well-tailored and culture-specific preparedness plans that will allow nurses to cope with any unexpected health emergencies in the future without succumbing to EE that has a tremendous effect on their health and well-being. To the best of our knowledge, no previous studies have examined the burden of EE among nurses working in Lebanese hospitals during the double crisis and its association with mental health.

Given the nature of their job and the deleterious effect of the double crisis on their mental health, we hypothesised that nurses working in Lebanese hospitals are more likely to experience high levels of EE during the pandemic and that this eating behaviour is associated with the burden of the crisis on their mental health. Therefore, the main aim of our study is to assess the magnitude of EE among nurses working in Lebanese hospitals and its association with mental health. Factors correlated with each of EE and mental health, including adherence to MD, will also be investigated to gain a better understanding of the situation as a whole. This study will enable the Lebanese Government to design specific measures in order to keep nurses resilient during any unexpected health emergencies.

Methodology

Study design and participants

A cross-sectional study was conducted between March and May 2022 among nurses aged between 18 and 50 years working in Lebanese hospitals during the COVID-19 outbreak. Exclusion criteria included the presence of at least one self-reported non-communicable disease (NCD) (e.g. thyroid disorders, diabetes mellitus, cancer), or being pregnant or lactating. An online questionnaire was developed using Google Forms. A total of 750 nurses working in eleven hospitals (8 private and 3 governmental) were invited to participate via WhatsApp and emails. Only 335 nurses consented to participate in the study (44.6% response rate). Among them, 32 were excluded because they met one of the exclusion criteria or because of incomplete and/or random responses. Our final sample size was 303 participants.

Data collection

Participants completed the questionnaire between March and May 2022. The general aim and information about the ethics of the study were explained at the beginning. The multicomponent questionnaire included four sections that evaluated the degree of emotional eating, sociodemographic characteristics, mental state, health status and eating habits of the participants. The average time for completion was 15 minutes. The questionnaire was pre-piloted with a group of 20 nurses from various departments, to ensure its clarity. Except for four words, which were rephrased, the findings of the questionnaire’s pilot suggested that the questions were clear.

Sampling procedure

Sample size was calculated based on the mean emotional eating score of 27.5 in Saudi Arabia, using one mean formula (n = sample size; z = 1.96, which corresponds to a 95% confidence level; SD = 16, which corresponds to the standard deviation; d = 1.8, corresponding to the precision).(Reference Al-Musharaf14) A minimum number of 300 nurses was needed to estimate a mean with 95% CI and a precision of 1.8. Through the Order of Nurses in Lebanon official email, an online survey was distributed to nurses working in different Lebanese hospitals from March until May 2022. Additionally, nursing directors in a variety of hospitals were contacted to obtain their approval, and the questionnaire was communicated through WhatsApp and email to working nurses.

Variables

Sociodemographic characteristics

These variables included age, gender (male, female), monthly income (enough, not enough), professional title (nurse, registered nurse, head of department, supervisor, director of nursing), shift pattern (always day, always night, day & night), working department (Covid-19, Non-Covid-19), marital status (married, single, divorced), years of experience (<1 year, 1–5 years, 6–10 years, 11–15 years, >15 years), and educational status (TS2/TB3, registered nurse, Master).

Emotional eating scale (EES)

The EES comprises 25 self-reported questions evaluating the desire to eat while experiencing negative emotions, such as anger, anxiety or a low mood state (depression). Participants rated their responses on a five-point Likert scale, ranging from 0 (no desire to eat) to 4 (extreme desire to eat). The final score was obtained by adding all of the item scores together, and these varied from 0 to 100, with higher scores reflecting a higher reliance on food in the management of emotions.(Reference Arnow, Kenardy and Agras15) The Arabic version of the EES was used in this study; it has demonstrated good test–retest reliability (r = 0.79, P < 0.001) and internal consistency of 0.81.(Reference Saade, Hallit and Haddad16)

Depressive symptoms (PHQ-9)

The validated Arabic version of the Patient Health Questionnaire-9 (PHQ-9) was used in order to evaluate symptoms of depression experienced by the nurses during the COVID-19 pandemic (Cronbach’s alpha of 0.857).(Reference AlHadi, AlAteeq and Al-Sharif17,Reference Sawaya, Atoui and Hamadeh18) On a four-point Likert scale ranging from 0 (never) to 3 (nearly every day), nine questions assessed the incidence of depression symptoms in the previous week. The final scores ranged from 0 to 27, with values of 10 and higher reflecting the existence of depression.(Reference Sawaya, Atoui and Hamadeh18,Reference Kroenke, Spitzer and Williams19)

Generalised anxiety disorder (GAD-7)

The GAD-7 has a sensitivity value of 0.83 and a specificity value of 0.84 for identifying generalised anxiety disorder.(Reference Plummer, Manea and Trepel20) The anxiety level experienced by the nurses during the previous two weeks was assessed using the validated Arabic version of the GAD-7 which possesses an internal consistency reliability of 0.763.(Reference AlHadi, AlAteeq and Al-Sharif17,Reference Sawaya, Atoui and Hamadeh18) Symptoms of anxiety were evaluated on a four-point Likert scale, with responses varying from 0 (never) to 3 (almost every day). The total score fluctuated from 0 to 21, with scores above 10 confirming the existence of generalised anxiety disorder.(Reference Spitzer, Kroenke and Williams21)

Perceived stress scale (PSS-10)

The Arabic version of the Perceived Stress Scale (PSS) questionnaire was used to quantify the level of stress experienced by the nurses. The scale is composed of ten items, with each question answered on a five-point Likert scale and responses ranging from 0 (almost never) to 4 (very often), with the test-retest reliability having an intra-correlation coefficient of 0.90.(Reference Almadi, Cathers and Mansour22) Higher values reflected higher levels of perceived stress. The total score was divided into three categories: ≥ 27 = high stress; 14–26 = moderate stress; ≤ 13 = low stress.(Reference Levenstein, Prantera and Varvo23)

Health and eating habits

Weight and height were self-reported by each nurse in order to calculate their body mass index (BMI) using the following formula: weight (kg)/height (m2). BMI was then categorised based on the World Health Organization (WHO) recommendations into four groups: underweight (< 18.5 kg/m2), normal weight (18.5–24.9 kg/m2), overweight (25.0–29.9 kg/m2) and obese (≥ 30 kg/m2).(24) Each nurse was also asked to report any weight gain. Furthermore, participants described any change in their physical activity level during the COVID-19 outbreak in the past year.

Regarding eating habits, the Mediterranean Diet Adherence Screener (MEDAS) scale was used in order to evaluate the nurses’ adherence to the MD. The MEDAS is a 14-item questionnaire that evaluates food intake frequencies of certain food items, along with food habits related to the MD. The participants were categorised as low adherent (≤ 5), medium adherent (6–8) and high adherent (≥ 9) to the MD pattern.(Reference Schröder, Fitó and Estruch25) In addition, each nurse was requested to report whether their intake for each of the above-mentioned 14 items was higher, lower or remained the same during the COVID-19 outbreak. Finally, nurses were asked to describe any change in their snacks, fried food, alcohol, or coffee intakes. Smoking status was also investigated (non-smoker, moderate smoker, heavy smoker).

Ethical considerations

The study followed the Declaration of Helsinki guidelines and was approved by Beirut Arab University’s Institutional Review Board (date: 20/1/2021, Nb: 2022-H-0136-HS-R-0477). Written approval was obtained from hospital executives. Since the study was web-based, and in order to obtain written consent, the online questionnaire included the sentence: ‘I agree to participate in this study’. Participants were also informed that participation was voluntary and that anonymity and confidentiality would be protected.

Statistical analysis

The data was analysed using SPSS software version 22, using mean and standard deviations for continuous variables, and frequencies and percentages for categorical variables. Pearson’s correlation was used for linear correlation between continuous variables. A bivariate analysis was conducted to examine factors associated with EE, depression, anxiety and stress, using independent sample t-tests for two means and ANOVA tests for three or more means. Multiple regression analysis was performed for variables significantly correlated with EE, depression, anxiety and stress, and for the correlation between EE and mental health, with a P-value < 0.05 indicating statistical significance.

Results

The baseline characteristics of the study sample are represented in Table 1. The mean age of the participants was 28.56 ± 8.11 years, and the average EE score was 37.9 (± 10.1). More than two-thirds of the nurses (73.9%) reported that their income was insufficient. Unhealthy weight status was evident among the nurses, with 40.9% of them reporting an increase in their weight during the pandemic. Additionally, 44.2% of the nurses were overweight or obese. This fact coincided with a low level of physical activity, with 39.6% reporting a decrease in their level of physical activity. In addition, the nurses reported a poorer-quality diet, with only 11.9% describing good adherence to the MD.

Table 1. General characteristics of the study population (n = 303)

TS: Technique Superieur, BT: Baccalaureat Technique, LT: License Technique, BS: Bachelor of Science.

EE: Emotional Eating.

Figure 1 represents the mental state of the participants. A poor mental state was evident among the majority of the nurses, with 53.8% reporting depression, 58.1% suffering from anxiety and 95.1% experiencing either moderate or severe stress.

Fig. 1. Mental state of the nurses. (a) Prevalence of stress among nurses (Perceived Stress Scale-10). (b) Prevalence of anxiety among nurses (Generalised anxiety disorder-7). (c) Prevalence of depression among nurses (Patient Health Questionnaire-9).

Table 2 displays the factors associated with emotional eating and the mental state of the participants during the COVID-19 pandemic, through a bivariate analysis. With regard to EE, female nurses manifested a higher EE than males (42.46 ± 7.96, 36.4 ± 6.62, respectively; P = 0.038). Similarly, those with insufficient income reported greater EE (42.97 ± 7.61) than nurses with sufficient income (36.22 ± 5.1) (P = 0.016). An advanced academic degree was associated with higher levels of EE, where registered nurses (41.24 ± 8.54) or master degree holders (39.06 ± 7.96) expressed a greater EE compared to those with a technical degree (32.88 ± 6.55) (P = 0.006). In addition, gaining weight during the pandemic (46.76 ±7.91), and eating more fried food in particular (49.01 ±13.26) (P < 0.001), tended to be associated with higher levels of EE. Excessive intake of caffeinated beverages (43.02 ± 11.37) (P = 0.002) and lower exercise levels (43.95 ± 12.26) (P = 0.003) were also linked to higher EE. However, being a non-smoker (39.75 ± 8.14) was correlated with a higher EE score compared to moderate (38.55 ± 9.90) or heavy smoking (27.96 ± 5.98) (P = 0.032). With regard to stress, female nurses reported a higher stress level (23.27 ± 4.26) than male (21.10 ± 3.59) (P = 0.002). Similarly, anxiety was more prevalent among female nurses than males (11.83 ± 3.62, 10.09 ± 3.01; respectively; P = 0.007), those in a higher position than those in a lower position (16.66 ± 4.14, 10.97 ± 2.58, P = 0.027; respectively), and those reporting a decrease in their physical activity (PA) compared those who increased their PA (22.70 ± 6.15, 10.12 ± 3.42, respectively; P = 0.015). Finally, depression was more prevalent among nurses with insufficient income than those with sufficient income (11.73 ± 3.59, 9.89 ± 2.13, P = 0.032; respectively), those in a higher position compared to those in a lower position (16.67 ± 4.77, 10.90 ± 2.5, P = 0.002; respectively) and those gaining weight compared to those who didn’t gain weight (12.23 ± 2.56, 10.57 ± 2.12, P = 0.030; respectively) during the outbreak.

Table 2. Factors associated with EE and mental state among the participants

TS: Technique Superieur, BT: Baccalaureat Technique, LT: License Technique, BS: Bachelor of Science, EE: Emotional Eating.

PHQ-9: Patient Health Questionnaire-9; GAD-7: Generalised Anxiety Disorder-7; PSS-10: Perceived Stress Scale-10.

P < 0·05 is considered significant.

Table 3 represents the association between the EE and mental health of the participants and the MD. It was apparent that nurses with higher EE consumed more olive oil (P = 0.001) and red meat (P = 0.002), as well as more fats, soft drinks, wine, sweet bakery products, cookies, nuts (P < 0.001) and dishes prepared with sofrito sauce (P = 0.048), compared to other components of the MD. Regarding mental health, a higher stress level was associated with more intake of fats (P = 0.002). In parallel, higher anxiety was correlated with more wine consumption (P = 0.001), but with a lower intake of nuts (P = 0.014) and dishes prepared with sofrito sauce (P = 0.046). Moreover, depression was associated with lower consumption of fruit (P = 0.017), nuts (P < 0.001) and dishes cooked with sofrito sauce (P = 0.015). On the other hand, depressed nurses consumed more red meat (P = 0.017), fats (P = 0.001), soft drinks (P = 0.009) and wine (P = 0.001).

Table 3. Factors associated with emotional eating and mental state: the role of the Mediterranean diet

MD: Mediterranean diet.

PHQ-9: Patient Health Questionnaire-9; GAD-7: Generalised Anxiety Disorder-7; PSS-10: Perceived Stress Scale-10, EE: Emotional Eating.

P < 0·05 is considered significant.

Variables significantly associated with EE or mental health in the bivariate analysis were included in a multiple linear regression analysis (Table 4). Female gender (β = 8.112, P = 0.004), smoking (β = –4.732, P = 0.010), weight gain (β = 6.048, P = 0.03), eating more (β = 0.461, P = 0.032) and consuming more fried items (β = 5.223, P = 0.001) were significantly associated with EE in this regression analysis. With regard to stress and anxiety, only the female gender was significantly associated with higher stress (β = 2.244, P = 0.003) and anxiety levels (β = 1.526, P = 0.021). Furthermore, higher levels of depression were correlated with weight gain (β = 2.402, P = 0.003) and with a reduced consumption of nuts (β = –1.706, P = 0.009) and dishes cooked with sofrito sauce (β = –1.378, P = 0.012) (Table 4). Finally, among the studied mental health problems, a positive association was detected only between depression and EE (β = 0.596, P = 0.046) (Table 5).

Table 4. Factors associated with emotional eating and mental health among nurses: Multiple regression analysis

PHQ-9: Patient Health Questionnaire-9; GAD-7: Generalised Anxiety Disorder-7; PSS-10: Perceived Stress Scale-10; EE: Emotional Eating P < 0.05 statistically significant.

Table 5. Association between EE and mental health of the participants

PHQ-9: Patient Health Questionnaire-9; GAD-7: Generalised Anxiety Disorder-7; PSS-10: Perceived Stress Scale-10; EE: Emotional Eating.

P < 0.05 is statistically significant.

Discussion

To the best of our knowledge, this is the first study to assess the magnitude of EE among nurses working in Lebanese hospitals during the COVID-19 outbreak and the economic crisis and its association with mental health. Our results showed that during the double crisis witnessed by the Lebanese healthcare system, the mean EE score was 28.56 (±8.11) and the prevalence of mental symptoms was high with 53.8% of the nurses suffering from depression, 58.1% from anxiety, and 95.1% from stress. In addition, the study concluded that depressed nurses, females, non-smokers, those who gained weight, and those who ate more, and in particular those who consumed more fried foods, had a higher tendency towards EE. Regarding mental health, gender difference was noted for the tendency towards stress and anxiety, with females experiencing more stress and anxiety than their male counterparts. Depression was associated with weight gain and with lower consumption of healthy food items (dishes prepared with sofrito sauce and nuts).

Previous studies conducted in various countries found high levels of EE among the healthcare staff during the COVID-19 outbreak. For instance, in Qatar, nurses working during the COVID-19 outbreak had increased odds of experiencing EE, with levels 2.62 times higher than during the pre-pandemic period.(Reference Nashwan, Villar and Al-Qudimat26) In our study the mean EE score in our sample was 37.9 (±10.1) however, due to the use of different tools to assess EE among nurses, comparisons of previous findings to our results were impossible. However, a survey conducted on young Saudi Arabian women during the epidemic revealed a mean EE score of 27.5.(Reference Al-Musharaf14) These findings spotlight the magnitude of EE among nurses working in Lebanese hospitals during that period.

Our results showed that 43.3% of the nurses were eating more during the double crisis and this increased food consumption was associated with EE. Furthermore, EE was positively associated with weight gain in our sample of nurses. The relationship between EE and weight gain has been extensively highlighted in previous studies. In a two-year cohort study, higher emotional eating among employees predicted more weight gain, independently of other factors such as smoking, alcohol and other dietary habits.(Reference Koenders and Van Strien27) Moreover, emotional eaters struggle with losing weight. They are half as likely as non-emotional eaters to accomplish the 10% weight loss goal of standard behavioural weight loss intervention programmes.(Reference López-Guimerà, Dashti and Smith28) In addition to excessive food intake, the dietary choices of the emotional eaters could also contribute to weight gain. Emotional eaters usually seek comfort food, and previous research theorised that, during the enforced quarantine, EE arose as a coping mechanism to reduce uncomfortable feelings.(Reference Lazarevich, Camacho and del Consuelo Velázquez-Alva29) In fact, the COVID-19 outbreak impacted people’s eating habits in general, with many reporting engaging in harmful eating behaviours, such as reaching for comfort food that is poor in nutrients and high in calories.(Reference Robinson, Boyland and Chisholm30) In China, even among healthcare workers who had a healthy diet prior to COVID-19, a decreased consumption of vegetables (P = 0.027) and an increased intake of soft drinks (P = 0.003) and convenience food (P < 0.001) were reported during the outbreak. Our results showed that among other food choices, higher EE scores were associated with consuming more fried foods in particular; therefore, it could be that fried items are perceived as being comfort food by our population. In fact, serotonin and dopamine, which have been shown to be positive emotion enhancers, are released more readily when fats and foods high in refined carbohydrates are consumed.(Reference Van Strien, Cebolla and Etchemendy31)

Gender emerged as another factor associated with EE, with female nurses reporting more emotional eating than males. This is consistent with previous studies, where female nursing students have experienced significantly higher levels of emotional eating compared to their male counterparts.(Reference Yönder Ertem and Karakaş32) Similarly, in Turkey, female emergency service workers had higher EE scores than males (P = 0.022).(Reference Erden, Yilmaz and Kozaci33) This result can be attributed to gender disparity in food intake, where women generally show less dietary control than men. Women are more inclined than males to report eating compulsively and out of control.(Reference Striegel-Moore, Rosselli and Perrin34) For example, the average lifelong prevalence of developing a binge eating disorder is 3.5% for females in comparison to 2.0% in males.(35)

In our study, heavy smokers had a lower EE score compared to non-smokers and those who smoke in moderation (P = 0.018). This could be explained by the fact that when faced with an unusual or unexpected situation, people tend to choose a coping mechanism, which could be either food—favouring empty-calorie items—or smoking, to lessen the burden of their negative feelings. There is compelling evidence that nicotine reduces feelings of tension and rage.(Reference Gilbert, McClernon and Rabinovich36) Smokers claim that they smoke more frequently when they are upset or angry because they believe that smoking will make them feel better.(Reference Litvin, Kovacs and Hayes37)

Our results shed the light on the extent of mental symptoms among nurses working in Lebanese hospitals during COVID-19 outbreak and the economic crisis. More than half of the nurses were suffering from depression or anxiety (53.8% and 58.1% respectively) and even worse, the big majority were experiencing moderate or severe stress (95.1%). This rate is dramatically higher than the one reported before 2019, where the prevalence of depression was only 36.2% among Lebanese nurses.(Reference Talih, Ajaltouni and Farhood38) Mental symptoms were previously reported among nurses during the COVID-19 outbreak, i.e. a study conducted in Iran during the COVID-19 outbreak, found moderate levels of stress, depression and anxiety among a group of nurses working in an educational hospital.(Reference Sheikhbardsiri, Doustmohammadi and Afshar39) However, our findings revealed higher rates of mental symptoms than the ones found in many other countries, in fact a systematic review and meta-analysis revealed an overall prevalence of stress of 43%, while anxiety and depression were 37% and 35%, respectively.(Reference Al Maqbali, Al Sinani and Al-Lenjawi12) Although the toll of COVID-19 cases in Lebanon was significantly lower than the one in China, our rates of mental symptoms were comparable to those found in Wuhan, China, where depression and anxiety symptoms were present in 58% and 54.2% of healthcare workers respectively.(Reference Xiao, Zhu and Fu40) This finding is alarming, it pinpoints the fact that the pandemic had a higher-than-expected impact on nurses in Lebanon. At first sight, it may seem that the nurses in Lebanon had an exaggerated response to the emergency situation, however taking into account the economic situation in the country and the realities of the healthcare system at that time, one can understand the magnitude of the mental burden these professionals were experiencing. While the world was facing the COVID-19 pandemic, Lebanon was dealing with a double crisis – the pandemic as well as an economic crisis—which has led to the worst rates of unemployment, inflation and poverty that Lebanon has ever experienced.(Reference Khraiche and Abelsky41,Reference Bizri, Khachfe and Fares42) Due to the pandemic, Lebanese nurses were forced to take double shifts to replace sick or rotated nurses, in addition to facing medication shortages and high daily death rates.(Reference Alameddine, Bou-Karroum and Ghalayini43) Simultaneously, they were underpaid due to the economic crisis, which led to a remarkable decline in the Lebanese pound that has lost more than 90% of its value, while food prices have increased by more than 50%.(Reference Khraiche and Abelsky41) In fact, 42.97% of the nurses in our sample reported an insufficient monthly income. Therefore, it is likely that the double crisis significantly affected the emotional well-being of the Lebanese nurses and eventually increased their anxiety, depression and stress levels even beyond that of the general Lebanese population (anxiety and depression of 42% and 42.6%, respectively).(Reference Younes, Safwan and Rahal2)

The main aim of our study was to investigate whether EE was associated with mental health. Indeed, our study revealed that EE was associated with depression which is consistent with the existing body of literature that has highlighted the association between depressive symptoms and EE.(Reference Konttinen, Silventoinen and Sarlio-Lähteenkorva44,Reference Dakanalis, Mentzelou and Papadopoulou45) Furthermore, depression was correlated with weight gain in our sample of nurses. According to previous studies, this association could be mediated by emotional eating.(Reference Van Strien, Cebolla and Etchemendy31) Additionally, earlier studies have associated depression with unhealthy dietary choices. For example, a previous study highlighted the correlation between depressive symptoms and lower consumption of healthy items such as fruits and vegetables.(Reference Konttinen, Silventoinen and Sarlio-Lähteenkorva44) In addition, two community surveys have demonstrated that greater severity of depressive symptoms was linked to a decreased probability of adhering to dietary recommendations.(Reference Sarlio-Lähteenkorva, Lahelma and Roos46) These results are consistent with our study outcome, where depressed nurses consumed fewer nuts and dishes prepared with sofrito sauce.

Previous studies have shown that women were more stressed about the pandemic and social isolation than males.(Reference Hou, Bi and Jiao47,Reference Ştefănuţ, Vintilă and Bucur48) Likewise, our study detected a gender disparity towards anxiety and stress, with female nurses being more affected than their male counterparts. Our results are consistent with previously reported findings among Iranian nurses and medical staff in China during the COVID-19 outbreak where females were more stressed, anxious and depressed than males.(Reference Sheikhbardsiri, Doustmohammadi and Afshar39) Based on functional magnetic resonance imaging to study brain responses, men and women may be equally susceptible to stress and anxiety,(Reference Kessler, McGonagle and Swartz49,Reference Chaplin, Hong and Bergquist50) although this susceptibility may be revealed through distinct mental conditions. Accordingly, women are more likely than males to have stress-related psychological conditions, such as stress and anxiety disorders, throughout their lifespan,(Reference Bangasser and Valentino51) whereas men are more likely to experience behaviours that are externalised (such as substance misuse and aggression.(Reference Hicks, Krueger and Iacono52)

Strengths and limitations

The current study is the first to our knowledge to assess EE and mental health and their correlating factors in relation to nurses working in Lebanese hospitals during the double crisis. However, some limitations should be noted. First, the nurses took part voluntarily in this study, and selection bias therefore cannot be overlooked. Second, data was self-reported in order to explore emotional eating and mental states among the participants. Similarly, nurses reported their own weight and height. Finally, due to the cross-sectional design, causal relationships cannot be clearly elucidated, therefore longitudinal studies are warranted toward an in-depth investigation of the relationship between different variables studied.

Conclusion and recommendations

In conclusion, this study revealed that females, non-smokers and depressed nurses had a higher tendency towards EE. Additionally, it was found that EE is associated with weight gain and increased food intake, specifically the consumption of fried foods. With regard to mental health, gender disparity was present, with females experiencing more stress and anxiety than their male counterparts. Furthermore, depression was associated with weight gain and lower consumption of healthy food. Finally, EE appeared only to be correlated with depression. Interventional programmes are thus warranted in order to improve eating habits while reducing psychological discomfort among nurses, especially during crisis. Healthcare systems should offer nutrition education and nutritional counselling if needed and provide healthy snacks and meals at workplace in order to lessen the emotional eating burden experienced during stressful situations. In addition, these programmes could focus on self-management techniques to teach nurses, among other healthcare workers, to self-regulate their eating habits. Self-regulation programmes have been successful in improving physical activity levels and sustaining weight reduction, both of which are associated with mood enhancement.(Reference McKee and Ntoumanis53) Psychological counselling, stress management sessions and emotional intelligence courses should also be provided to help nurses cope with negative feelings that arise during emergency situations. All these strategies can reduce stress, anxiety and depression levels which will improve the performance of nurses and ultimately lead to improvement in the quality of the healthcare delivered. In fact, previous studies highlighted the importance of emotional intelligence for adequate cognitive performance. In this regard, an Iranian study has highlighted the importance of the ability to control one’s emotions for academic achievement.(Reference Sheikhbardsiri, Sheikhasadi, Mahani and Mohamadi54) Furthermore, to help nurses face future emergencies without compromising their mental well-being, it is important to empower them with disaster competencies. In fact, nurses may require training in this specific area. For example, a study conducted in Iran revealed that nursing students have poor disaster competencies.(Reference Kaviani, Aliakbari, Sheikhbardsiri and Arbon55) Therefore, the curriculum of the nursing programme should be revised to encompass well designed practical courses tackling disaster competencies and emotional intelligence during critical situations. In order to guide the Lebanese authorities to develop well-tailored preparedness plans for future unexpected emergency situations, future studies should focus on gaining an in-depth view of the problem and its nature in the Lebanese context as well as assessing the impact of various intervention programmes on the nurse’s well-being.

Abbreviations

EE: Emotional Eating; MD: Mediterranean diet; NCD: non-communicable diseases; EES: Emotional Eating Scale; TS: Technique Superieur; BT: Baccalaureat Technique; LT: License Technique; BS: Bachelor of Science; PHQ-9: Patient Health Questionnaire-9; GAD-7: Generalised anxiety disorder-7; PSS-10: Perceived Stress Scale-10; BMI: Body Mass Index; WHO: World Health Organization.

Acknowledgements

The authors are thankful for all the nurses who participated in this study.

Authorship

Conceptualisation: Rosy Mitri, Maha Dankar. Methodology: Rosy Mitri, Zeina El-Ali, Maha Dankar. Formal analysis: Rosy Mitri, Zeina El-Ali. Investigation: Rosy Mitri, Zeina El-Ali, Maha Dankar. Writing - original draft: Rosy Mitri, Zeina El-Ali, Maha Dankar. Writing - review & editing: Rosy Mitri, Zeina El-Ali, Maha Dankar. Supervision: Rosy Mitri. All authors read and approved the final manuscript.

Financial support

This research did not receive any grants from funding agencies in the public, commercial, or not-for-profit sectors.

Declaration of conflicting interests

All authors declare that there is no potential conflict of interest in this study.

References

Qiu, J, Shen, B, Zhao, M, et al. A nationwide survey of psychological distress among Chinese people in the COVID-19 epidemic: implications and policy recommendations. Gen Psychiatry. 2020;33(2):e100213.CrossRefGoogle ScholarPubMed
Younes, S, Safwan, J, Rahal, M, et al. Effect of COVID-19 on mental health among the young population in Lebanon. L’encephale. 2022;48(4):371382.CrossRefGoogle Scholar
Karam, EG, Mneimneh, ZN, Dimassi, H, et al. Lifetime prevalence of mental disorders in Lebanon: first onset, treatment, and exposure to war. PLoS Med. 2008;5(4):e61.CrossRefGoogle ScholarPubMed
Sanayeh, EB, Chamieh, CE. The fragile healthcare system in Lebanon: sounding the alarm about its possible collapse. Health Econ Review. 2023;13(1):21.CrossRefGoogle Scholar
Ganley, RM. Emotion and eating in obesity: a review of the literature. Int J Eat Disord. 1989;8(3):343361.3.0.CO;2-C>CrossRefGoogle Scholar
Bruch, H. Psychological aspects of overeating and obesity. Psychosomatics. 1964;5(5):269274.CrossRefGoogle ScholarPubMed
Aljedaani, SM. Quarantine and isolation nurses conditions during COVID-19 in Jeddah City. J Nursing Educ Practice. 2020;10(10):90.CrossRefGoogle Scholar
Stockmaster, A, Talarczyk, P. Diet and health implications of night shift nursing. J Stud Research. 2021;10(4):110.CrossRefGoogle Scholar
Fradkin, L, Raz, O, Boaz, M. Nurses who work rotating shifts consume more energy, macronutrients and calcium when they work the night shift versus day shift. Chronobiol Int 2019;36(2):288295.CrossRefGoogle ScholarPubMed
Bach-Faig, A, Berry, EM, Lairon, D, et al. Mediterranean diet pyramid today. Science and cultural updates. Public Health Nutr. 2011;14(12A):22742284.CrossRefGoogle ScholarPubMed
De Lucia, F, Cocchiara, R, La Torre, G. A systematic review of nurses’ eating habits on duty for a healthy workplace. Senses Sciences. 2021;8(2):13041323.Google Scholar
Al Maqbali, M, Al Sinani, M, Al-Lenjawi, B. Prevalence of stress, depression, anxiety and sleep disturbance among nurses during the COVID-19 pandemic: a systematic review and meta-analysis. J Psychosom Res. 2021;141:110343.CrossRefGoogle ScholarPubMed
Gürkan, KP, Aydoğdu, NG, Dokuzcan, DA, et al. The effects of nurses’ perceived stress and life satisfaction on their emotional eating behaviors. Perspect Psychiatric Care. 2022;58(3):10481054.CrossRefGoogle ScholarPubMed
Al-Musharaf, S. Prevalence and predictors of emotional eating among healthy young Saudi women during the COVID-19 pandemic. Nutrients. 2020;12(10):2923.CrossRefGoogle ScholarPubMed
Arnow, B, Kenardy, J, Agras, WS. The emotional eating scale: the development of a measure to assess coping with negative affect by eating. Int J Eat Disord. 1995;18(1):7990.3.0.CO;2-V>CrossRefGoogle ScholarPubMed
Saade, S, Hallit, S, Haddad, C, et al. Factors associated with restrained eating and validation of the Arabic version of the restrained eating scale among an adult representative sample of the Lebanese population: a cross-sectional study. J Eat Disord. 2019;7(1):24.CrossRefGoogle Scholar
AlHadi, AN, AlAteeq, DA, Al-Sharif, E, et al. An arabic translation, reliability, and validation of patient health questionnaire in a Saudi sample. Ann Gen Psychiatry. 2017;16(1):32.CrossRefGoogle Scholar
Sawaya, H, Atoui, M, Hamadeh, A, et al. Adaptation and initial validation of the patient health questionnaire–9 (PHQ-9) and the generalized anxiety disorder–7 questionnaire (GAD-7) in an Arabic speaking Lebanese psychiatric outpatient sample. Psychiatry Res. 2016;239:245252.CrossRefGoogle Scholar
Kroenke, K, Spitzer, RL, Williams, JB. The PHQ-9: validity of a brief depression severity measure. J Gen Intern Med. 2001;16(9):606613.CrossRefGoogle ScholarPubMed
Plummer, F, Manea, L, Trepel, D, et al. Screening for anxiety disorders with the GAD-7 and GAD-2: a systematic review and diagnostic metaanalysis. General Hosp Psychiatry. 2016;39:2431.CrossRefGoogle ScholarPubMed
Spitzer, RL, Kroenke, K, Williams, JB, et al. A brief measure for assessing generalized anxiety disorder: the GAD-7. Arch Intern Med. 2006;166(10):10921097.CrossRefGoogle ScholarPubMed
Almadi, T, Cathers, I, Mansour, AM, et al. An Arabic version of the perceived stress scale: translation and validation study. Int J Nurs Stud. 2012;49(1):8489.CrossRefGoogle ScholarPubMed
Levenstein, S, Prantera, C, Varvo, V, et al. Development of the perceived stress questionnaire: a new tool for psychosomatic research. J Psychosom Res. 1993;37(1):1932.CrossRefGoogle Scholar
World Health Organization. Obesity and Overweight. Geneva: WHO; 2018.Google Scholar
Schröder, H, Fitó, M, Estruch, R, et al. A short screener is valid for assessing Mediterranean diet adherence among older Spanish men and women. J Nutr 2011;141(6):11401145.CrossRefGoogle Scholar
Nashwan, AJ, Villar, RC, Al-Qudimat, AR, et al. Quality of life, sleep quality, depression, anxiety, stress, eating habits, and social bounds in nurses during the coronavirus disease 2019 pandemic in Qatar (The PROTECTOR Study): a cross-sectional, comparative study. J Pers Med. 2021;11(9):918.CrossRefGoogle ScholarPubMed
Koenders, PG, Van Strien, T. Emotional eating, rather than lifestyle behavior, drives weight gain in a prospective study in 1562 employees. J Occup Environ Med. 2011;53(11):12871293.CrossRefGoogle Scholar
López-Guimerà, G, Dashti, HS, Smith, CE, et al. CLOCK 3111 T/C SNP interacts with emotional eating behavior for weight-loss in a Mediterranean population. PLoS One. 2014;9(6):e99152.CrossRefGoogle Scholar
Lazarevich, I, Camacho, ME, del Consuelo Velázquez-Alva, M, et al. Relationship among obesity, depression, and emotional eating in young adults. Appetite. 2016;107:639644.CrossRefGoogle ScholarPubMed
Robinson, E, Boyland, E, Chisholm, A, et al. Obesity, eating behavior and physical activity during COVID-19 lockdown: a study of UK adults. Appetite. 2021;156:104853.CrossRefGoogle Scholar
Van Strien, T, Cebolla, A, Etchemendy, E, et al. Emotional eating and food intake after sadness and joy. Appetite. 2013;66:2025.CrossRefGoogle Scholar
Yönder Ertem, M, Karakaş, M. Relationship between emotional eating and coping with stress of nursing students. Perspect Psychiatr Care. 2021;57(2):433442.CrossRefGoogle Scholar
Erden, SC, Yilmaz, BK, Kozaci, N, et al. The relationship between depression, anxiety, and stress levels and eating behavior in emergency service workers. Cureus. 2023;15(2):e35504.Google Scholar
Striegel-Moore, RH, Rosselli, F, Perrin, N, et al. Gender difference in the prevalence of eating disorder symptoms. Int J Eat Disord. 2009;42(5):471474.CrossRefGoogle ScholarPubMed
National Institutes of Mental Health. Eating Disorders Among Adults-Binge Eating Disorder. Bethesda, MD: National Institutes of Mental Health; 2015.Google Scholar
Gilbert, DG, McClernon, FJ, Rabinovich, NE, et al. Mood disturbance fails to resolve across 31 days of cigarette abstinence in women. J Consult Clin Psychol. 2002;70(1):142.CrossRefGoogle ScholarPubMed
Litvin, EB, Kovacs, MA, Hayes, PL, et al. Responding to tobacco craving: experimental test of acceptance versus suppression. Psychol Addict Behav. 2012;26(4):830.CrossRefGoogle ScholarPubMed
Talih, F, Ajaltouni, J, Farhood, L. Depression and burnout among nurses in a Lebanese academic medical center. J Med Liban. 2018;66(2):9297.Google Scholar
Sheikhbardsiri, H, Doustmohammadi, MM, Afshar, PJ, et al. Anxiety, stress and depression levels among nurses of educational hospitals in Iran: time of performing nursing care for suspected and confirmed COVID-19 patients. J Educ Health Promot. 2021;10:447.CrossRefGoogle ScholarPubMed
Xiao, X, Zhu, X, Fu, S, et al. Psychological impact of healthcare workers in China during COVID-19 pneumonia epidemic: a multi-center cross-sectional survey investigation. J Affect Disord. 2020;274:405410.CrossRefGoogle Scholar
Khraiche, D, Abelsky, P. Lebanon’s Premier Slams Central Bank Chief Over Currency Chaos. Blomberg. Published April 24, 2020. Accessed October 2023. https://news.bloomberglaw.com/bankruptcy-law/lebanons-dollar-peg-gives-way-to-currency-chaos-after-default.Google Scholar
Bizri, AR, Khachfe, HH, Fares, MY, et al. COVID-19 pandemic: an insult over injury for Lebanon. J Community Health. 2021;46:487493.CrossRefGoogle ScholarPubMed
Alameddine, M, Bou-Karroum, K, Ghalayini, W, et al. Resilience of nurses at the epicenter of the COVID-19 pandemic in Lebanon. Int J Nurs Sci. 2021;8(4):432438.Google ScholarPubMed
Konttinen, H, Silventoinen, K, Sarlio-Lähteenkorva, S, et al. Emotional eating and physical activity self-efficacy as pathways in the association between depressive symptoms and adiposity indicators. Am J Clin Nutr. 2010;92(5):10311039.CrossRefGoogle ScholarPubMed
Dakanalis, A, Mentzelou, M, Papadopoulou, SK, et al. The association of emotional eating with overweight/obesity, depression, anxiety/stress, and dietary patterns: a review of the current clinical evidence. Nutrients. 2023;15(5):1173.CrossRefGoogle ScholarPubMed
Sarlio-Lähteenkorva, S, Lahelma, E, Roos, E. Mental health and food habits among employed women and men. Appetite. 2004;42(2):151156.CrossRefGoogle ScholarPubMed
Hou, F, Bi, F, Jiao, R, et al. Gender differences of depression and anxiety among social media users during the COVID-19 outbreak in China: a cross-sectional study. BMC Public Health. 2020;20(1):1648.CrossRefGoogle Scholar
Ştefănuţ, AM, Vintilă, M, Bucur, VM, et al. Gender and age-related differences in depression, anxiety and stress during the COVID-19 pandemic: a cross-sectional study. Soc Work Rev. 2021;9(1):113.Google Scholar
Kessler, RC, McGonagle, KA, Swartz, M, et al. Sex and depression in the national comorbidity survey I: lifetime prevalence, chronicity and recurrence. J Affect Disord. 1993;29(2–3):8596.CrossRefGoogle ScholarPubMed
Chaplin, TM, Hong, K, Bergquist, K, et al. Gender differences in response to emotional stress: an assessment across subjective, behavioral, and physiological domains and relations to alcohol craving. Alcohol Clin Exp Res 2008;32(7):12421250.CrossRefGoogle ScholarPubMed
Bangasser, DA, Valentino, RJ. Sex differences in stress-related psychiatric disorders: neurobiological perspectives. Front Neuroendocrinol. 2014;35(3):303319.CrossRefGoogle ScholarPubMed
Hicks, BM, Krueger, RF, Iacono, WG, et al. Family transmission and heritability of externalizing disorders: a twin-family study. Arch Gen Psychiatry 2004;61(9):922928.CrossRefGoogle ScholarPubMed
McKee, HC, Ntoumanis, N. Developing self-regulation for dietary temptations: intervention effects on physical, self-regulatory and psychological outcomes. J Behav Medicine. 2014;37:10751081.CrossRefGoogle Scholar
Sheikhbardsiri, H, Sheikhasadi, H, Mahani, SA, Mohamadi, MM. Emotional intelligence and learning strategies of postgraduate students at Kerman University of Medical Sciences in the southeast of Iran. J Educ Health Promot. 2020;9(1):66.Google ScholarPubMed
Kaviani, F, Aliakbari, F, Sheikhbardsiri, H, Arbon, P. Nursing students’ competency to attend disaster situations: a study in western Iran. Disaster Med Public Health Prep. 2022;16(5):20442048.CrossRefGoogle ScholarPubMed
Figure 0

Table 1. General characteristics of the study population (n = 303)

Figure 1

Fig. 1. Mental state of the nurses. (a) Prevalence of stress among nurses (Perceived Stress Scale-10). (b) Prevalence of anxiety among nurses (Generalised anxiety disorder-7). (c) Prevalence of depression among nurses (Patient Health Questionnaire-9).

Figure 2

Table 2. Factors associated with EE and mental state among the participants

Figure 3

Table 3. Factors associated with emotional eating and mental state: the role of the Mediterranean diet

Figure 4

Table 4. Factors associated with emotional eating and mental health among nurses: Multiple regression analysis

Figure 5

Table 5. Association between EE and mental health of the participants