Literature DB >> 35136766

Perceived stress and eating behavior among residents in a teaching hospital.

Mohammed A Bin Mugren1, Yousef A Al Turki2.   

Abstract

OBJECTIVES: This study aimed to estimate the association between perceived stress and eating behavior among residents in a tertiary teaching hospital in Riyadh, Saudi Arabia.
METHODS: A total of 305 residents were invited from seven major specialties in King Saud University Medical City to participate in this cross-sectional study, and among them, 214 completed the questionnaire between April 2019 and January 2020. The questionnaire evaluated stress and eating behavior using the 4-item Perceived Stress Scale and Dutch Eating Behavior Questionnaire, respectively. Moreover, items related to socio-demographic data, weekend coverage per month, night duties per month, fast food, snacks, and vegetables and fruits intake were included.
RESULTS: We found a weak positive correlation at the significance level (P < 0.05) between the level of stress and both the clearly labeled emotions (0.184) and emotional eating (0.171). Furthermore, there was a significant effect of specialty, Wilk's Lambda =0.858, F (30, 814) =1.062, P = 0.030. Among residents who performed 4 to 6-night duties per month, a significant correlation existed between stress and abnormal eating behaviors.
CONCLUSION: Our findings demonstrated a positive correlation between stress, night duties, and abnormal eating behaviors. Furthermore, the results suggested unhealthy dietary habits and food choices among residents. Copyright:
© 2021 Journal of Family Medicine and Primary Care.

Entities:  

Keywords:  Eating behavior; residents; stress.

Year:  2021        PMID: 35136766      PMCID: PMC8797111          DOI: 10.4103/jfmpc.jfmpc_680_21

Source DB:  PubMed          Journal:  J Family Med Prim Care        ISSN: 2249-4863


Introduction

Stress is defined as the “perception of threat, with resulting anxiety discomfort, emotional tension, and difficulty in adjustment.”[1] Residents encounter multiple types of stress during the time of training.[2] Various studies have reported high levels of perceived stress among residents in the United States of America,[3] Italy,[4] and Turkey.[5] However, in Saudi Arabia, the perceived stress levels were equal or marginally higher than that in the residents of other parts of the world.[6] The natural homeostasis of a creature is challenged by stress that may result in a physiological response to return to the equilibrium state; one of such disturbed homeostases is eating behavior.[7] Eating behavior is “a complex interplay of physiologic, psychological, social, and genetic factors that influence meal timing, the quantity of food intake, food preference, and food selection.”[8] It is influenced physiologically through hormonal interactions and stress.[910] The decreased levels of leptin and insulin are associated with stress, leading to changes in appetite.[11] Stress evokes a response from the hypothalamic-pituitary-adrenal axis, resulting in a cortisol secretion that may alter appetite and cause overconsumption of a high-calorie diet, thus leading to weight gain.[910] Research has found that energy-dense food was sought and ingested in response to work-related stress.[11] Several studies have reported an association between stress and a higher intake of fast foods and snacks.[111213] Moreover, stress increased the intake of fat and sodium.[14] In addition, stress was associated with a decreased intake of vegetables and fruits.[111516] In contrast, some studies have found stress to reduce food intake and induce meal skipping.[161718] Furthermore, in a previous study, no significant relation was found between stress and food intake among participants.[19] Studies conducted on college students and low-income women concluded that participants with high levels of stress had uncontrolled and emotional eating behaviors.[1320] In a study conducted on nurses in Saudi Arabia, stress was positively associated with all abnormal eating behaviors, with restrained eating being more reported by participants than emotional and external eating.[11] Restrained eating influenced by stress was associated with increased ingestion of fast foods and snacks and is more likely to be associated with overeating than usual or binge eating.[911] Food selections reported by external eaters under stress were different between genders.[11] Individuals with emotional eating are more likely to overeat as a coping mechanism under stress, with snack foods being highly ingested.[911] Lastly, stress can influence eating behaviors that may lead to obesity,[21] and eating disorders.[22] In 2020, a study conducted by Choi[23] explored the effect of stress on eating and dietary behaviors among nursing students in Korea. The findings of the study showed that there was a significant association between the nursing students’ perceived stress and their eating behaviors, which significantly affected their weight gain and caused a significant increase in their body mass index (BMI). A more recent study by Hun et al.,[24] reported that anxiety and other mental health disturbances significantly ed the eating behaviors of individuals. However, the context of this study was limited to immigrants and not included health care workers. Moreover, within the context of adolescents, a study conducted by Wang and colleagues[25] reported that there was a significant association between stress and eating behaviors among Chinese adolescents. Despite the various cross-sectional studies that investigated the association of stress and other mental health issues and eating behaviors, there was a significant lack of studies that examined this association within the context of health care workers, especially among physicians. Therefore, this study aimed to estimate the association between perceived stress and eating behavior among residents in a tertiary teaching hospital in Riyadh, Saudi Arabia.

Relevance to the Practice of Primary Care Physicians

The present study provided research-based evidence of the association between stress and eating behaviors among physicians, which could be significantly used to establish both educational and training programs that enhance the coping abilities of the physicians to deal with stressful situations and events during their professional practice. The effect of designing such programs might remarkably improve the quality of the health care services provided for patients and improve the professional experience of the physicians in different health care settings and facilities.

Methodology

An observational cross-sectional study was conducted on the residents of the following seven largest specialties at King Saud University Medical City (KSUMC), Riyadh, Saudi Arabia: family medicine, pediatrics, obstetrics and gynecology, radiology, emergency medicine, internal medicine, and general surgery. These specialties were the most common in a study conducted in Saudi Arabia, which examined stress among residents.[6] A pilot study, including 10 residents, was conducted, and 30% of them had emotional, external, and restrained eating behaviors. Considering this 30% as the outcome variable with a width of ± 5% at P < 0.05 level of significance (95% confidence interval), the calculated sample size was 323. The number of residents in these specialties in KSUMC was 305 because of which all residents were included. Based on the literature review, a questionnaire was developed in English as it is used by all Saudi and non-Saudi residents. Moreover, the purpose of the study and the right of the participant to withdraw at any time without any obligation toward the study team were explained to all participants, and the participants were informed that completing the survey was considered consent to participate voluntarily. Ethical approval to conduct the study was obtained from the Institutional Review Board (IRB) at the Faculty of Medicine at King Saud University in Riyadh in March 2019, IRB approval number (E-19-3723). The data were collected using paper questionnaires but for those we could not reach, we used electronic questionnaires (using Google forms). Two reminders were sent to non-responders. Surveys were distributed between April 2019 and January 2020. The questionnaire included socio-demographic characteristics (age, gender, nationality, and marital status). Items related to work schedules (night duties and weekend coverage) were included; the participants were asked to document how many night duties do they perform per month (no duties, 1 to 3, 4 to 6, or more than 6) and how many weekend coverages they do per month (no coverage, one, two, three, or four). The frequency of eating fast foods and snacks was asked to determine the dietary habits of the participants (never, sometimes, often, or almost every day). In addition, a question on how many servings of fruits and vegetables a participant would eat per day was included (five or more, four, three, two, or less than two); one serving measured as a one medium-size fruit; half a cup of vegetables, fruit, or juice; or one cup of salad. One item was related to binge eating in which participants were asked how often during the past 12 months they were engaged in the episodes of binge eating, an eating binge is defined as an episode of eating an amount of food that others would regard unusually large.[26] The 4-item Perceived Stress Scale (PSS) developed by Cohen et al.[27] was used in the study. The PSS “measures the degree to which situations in one’s life are appraised as stressful.”[27] For estimating the perception of stress, PSS is the most generally used psychological tool. All items in the scale were rated from 0 to 4 (0 = never, 1 = almost never, 2 = sometimes, 3 = fairly often, 4 = very often) with scores from 0 to 16. As no published cutoff scores exist for stress to be considered high or low, a PSS of more than 11 was classified as high stress and less than 6 as low stress.[11] Eating behavior is “a complex interplay of physiologic, psychological, social, and genetic factors that influence meal timing, the quantity of food intake, food preference, and food selection.”[8] We used the Dutch Eating Behavior Questionnaire (DEBQ),[26] containing 33 self-reported items. The permission to use was obtained from the authors by email. It measures three unhealthy eating behaviors: emotional eating (13 questions), which is “the tendency to cope with negative emotions (for example, anxiety or irritability),”[11] including two subscales for negative emotions that are clearly labeled emotions (such as frightened and worried) and diffuse emotions (such as bored and lonely)[28]; restrained eating (10 questions), which “refers to overeating when the cognitive resolve to diet is abandoned after a period of slimming”[29]; and external eating (10 questions), which is “the extent to which external cues of food trigger eating episodes (for example, the reinforcing value of the sight and smell of attractive food).”[11] All items in the questionnaire were rated on a 5-point Likert-type scale, with each response having a value ranging from 1 = never to 5 = very often. We stratified scores of eating styles as a “yes” if it is greater than the 75th percentile and “no” if it is equal or less than the 75th percentile.[11] The DEBQ has a superior construct and predictive validity and high internal consistency (reliability between 0.80 and 0.95).[112629] The data were analyzed using the Statistical Package for the Social Sciences version 26. Descriptive statistics such as frequencies, percentages, means, and standard deviations were used. In addition, Pearson’s correlation factors were used to find out the relationship between stress and eating behaviors among the study participants, i.e. the association between stress and eating behaviors with respect to the participants’ specialty, number of night duties per month, and frequency of being eating. A P value of < 0.05 was considered significant. These three factors were investigated as they were the most reported variables influencing the association of perceived stress and eating behaviors among medical staff.

Results

We received 214 completed surveys, giving a response rate of 70.1%. As shown in Table 1, the demographic characteristics of the study participants indicated that 52.3% were female and 47.7% were male. Of the participants, the mean age was 27.03 years, and the majority of them were Saudi (95.3%). Moreover, 70.1% of the participants were single. Maximum participants were family medicine residents (26.2%), followed by pediatrics residents (17.3%), and general surgery residents being the least (6.5%).
Table 1

Socio-demographic characteristics of the study sample

VariableM (SD)F (%)Range (Min-Max)
Age (in years)27.03 (1.809)(24-37)
Gender
 Female112 (52.3)
 Male102 (47.7)
Nationality
 Saudi204 (95.3)
 Non-Saudi10 (4.7)
Marital status
 Married63 (29.4)
 Single150 (70.1)
 Divorced or widowed1 (0.5)
Specialty-
 Family medicine56 (26.2)
 Pediatrics37 (17.3)
 Obstetrics and Gynecology24 (11.2)
 Internal medicine29 (13.6)
 General surgery14 (6.5)
 Emergency23 (10.7)
 Radiology31 (14.5)
Residence year-
 First69 (32.2)
 Second54 (25.2)
 Third48 (22.4)
 Fourth or more43 (20.1)
Night duties per month
 No duties50 (23.4)
 1-355 (25.7)
 4-698 (45.8)
 More than 611 (5.1)
Weekend coverage per month No coverage56 (26.2)
 One52 (24.3)
 Two88 (41.4)
 Three12 (5.6)
 Four6 (2.8)
How often do you eat fast food?
 Never or rarely15 (7.0)
 Sometimes82 (38.3)
 Often74 (34.6)
 Almost everyday43 (20.1)
How often do you eat snacks?
 Never or rarely23 (10.7)
 Sometimes87 (40.7)
 Often59 (27.6)
 Almost every day45 (21.0)
How many servings of fruits and vegetables do you eat daily?
 Less than two143 (66.8)
 Two37 (17.3)
 Three25 (11.7)
 Four5 (2.3)
 Five or more4 (1.9)
How often during the past 12 months you had engaged in episodes of being eating?
 Not at all72 (33.6)
 Less than weekly62 (29.0)
 Once a week46 (21.5)
 Two or more times a week34 (15.9)
Socio-demographic characteristics of the study sample The first-year residents constituted 32.2% of the study participants, with the second, third, and fourth or more year residents representing 25.2%, 22.4%, and 20.1%, respectively. A total of 88 participants (41.4%) reported that they covered two weekends per month, 26.2% did not cover at the weekends, 24.3% covered once a month, and 5.6% and 2.8% covered three and four weekends per month, respectively. Moreover, 38.3% of the study participants reported eating fast foods sometimes, 34.6% ate fast foods often, and 20.1% ate fast foods daily. With respect to eating snack habits among the study participants, 40.7% sometimes ate snacks, 27.6% often ate snacks, and 21% ate snacks daily. A total of 66.8% of the study participants reported that they had less than two daily servings of vegetables and fruits, and 17.3% reported that they had two daily servings of vegetables and fruits. Investigating the frequency of binge eating episodes revealed that 33.6% of the study participants were not engaged in any eating episodes during the past 12 months, and 29% were engaged in eating episodes less than weekly. Moreover, eating episodes once a week and two or more times a week were reported among 21.5% and 15.9% of the study participants, respectively. Table 2 represents Pearson’s correlation coefficients between the level of stress and eating behaviors among the residents. The findings indicated a weak positive correlation at the significance level (P < 0.05) between the level of stress and both the clearly labeled emotions (0.184) and emotional eating (0.171). However, no significant correlation existed between the level of stress and diffused emotions, external eating, and restrained eating domains.
Table 2

Pearson’s correlation coefficients between the level of stress and eating behaviors among residents

VariableDiffused emotionsClearly labeled emotionsEmotional eatingExternal eatingRestrained eating
Stress
 Correlation coefficient0.1020.184**0.171*0.090-0.030
 Sig (2-tailed0.1130.0070.0120.1880.534
n214214214214214

*Correlation is significant at the 0.05 level (2-tailed). **Correlation is significant at the 0.01 level (2-tailed)

Pearson’s correlation coefficients between the level of stress and eating behaviors among residents *Correlation is significant at the 0.05 level (2-tailed). **Correlation is significant at the 0.01 level (2-tailed) To examine the linearity of the relationship, scatterplots were generated for both variables [Figures 1 and 2].
Figure 1

Linear association between the participants’ perceived stress and the clearly labeled emotions.

Figure 2

Linear association between the participants’ perceived stress and the emotional eating

Linear association between the participants’ perceived stress and the clearly labeled emotions. Linear association between the participants’ perceived stress and the emotional eating Table 3 shows that there was a significant effect of specialty, Wilk’s Lambda =0.858, F (30, 814) =1.062, P = 0.030. A significant correlation exists between stress and eating behaviors among residents due to their specialty.
Table 3

One-way multivariate analysis for the association between the level of stress and eating behaviors among residents according to their specialty

Multivariate Testsa

EffectValue F Hypothesis dfError dfSig.Partial Eta Squared
Specialty
 Pillai’s Trace0.1481.05330.0001035.0000.3890.030
 Wilks’ Lambda0.8581.06230.000814.0000.3780.030
 Hotelling’s Trace0.1591.07030.0001007.0000.3660.031
 Roy’s Largest Root0.1073.698c6.000207.0000.0020.097

aDesign: Intercept + Specialty, bExact statistic, cThe statistic is an upper bound on F that yields a lower bound on the significance level.

One-way multivariate analysis for the association between the level of stress and eating behaviors among residents according to their specialty aDesign: Intercept + Specialty, bExact statistic, cThe statistic is an upper bound on F that yields a lower bound on the significance level. Table 4 shows that there was a significant effect of the number of night duties per month, Wilk’s Lambda =0.893, F (15, 569.077) =1.583, P = 0.037. A significant correlation existed between stress and eating behaviors among residents due to the number of night duties per month.
Table 4

One-way multivariate analysis of variance for the association between the level of stress and eating behaviors among residents according to the number of duties per month

Multivariate Testsa

EffectValue F Hypothesis dfError dfSig.Partial Eta Squared
Night duties per month
 Pillai’s Trace0.1101.57715.000624.0000.0750.037
 Wilks’ Lambda0.8931.58315.000569.0770.0740.037
 Hotelling’s Trace0.1161.58715.000614.0000.0720.037
 Roy’s Largest Root0.0783.251c5.000208.0000.0080.072

aDesign: Intercept + Night duties per month, bExact statistic, cThe statistic is an upper bound on F that yields a lower bound on the significance level.

One-way multivariate analysis of variance for the association between the level of stress and eating behaviors among residents according to the number of duties per month aDesign: Intercept + Night duties per month, bExact statistic, cThe statistic is an upper bound on F that yields a lower bound on the significance level. Table 5 shows that there was no significant effect of the frequency of binge eating, Wilk’s Lambda =0.726, F (15, 569.077) =4.672, P = 0.101. No significant correlation existed between stress and eating behaviors among residents due to the frequency of binge eating.
Table 5

One-way multivariate analysis of variance for the association between the level of stress and eating behaviors among residents according to the frequency of binge eating

Multivariate Testsa

EffectValue F Hypothesis dfError dfSig.Partial Eta Squared
Frequency of binge eating
 Pillai’s Trace0.2884.42315.000624.0000.0000.096
 Wilks’ Lambda0.7264.67215.000569.0770.0000.101
 Hotelling’s Trace0.3594.89615.000614.0000.0000.107
 Roy’s Largest Root0.29812.414c5.000208.0000.0000.230

aDesign: Intercept + Frequency of Binge Eating, bExact statistic, cThe statistic is an upper bound on F that yields a lower bound on the significance level.

One-way multivariate analysis of variance for the association between the level of stress and eating behaviors among residents according to the frequency of binge eating aDesign: Intercept + Frequency of Binge Eating, bExact statistic, cThe statistic is an upper bound on F that yields a lower bound on the significance level.

Discussion

In this study, emotional eating behavior and clearly labeled emotions were positively correlated with a high level of perceived stress among residents, which is in line with the findings of multiple previous studies among different populations. For example, the association was found among low-income women in the United States,[20] and college students in Brazil.[13] Moreover, stress was associated with emotional eating and other abnormal eating behaviors among nurses in Hong Kong, China,[29] and Riyadh, Saudi Arabia.[11] Also, a significant correlation existed between stress and eating behaviors among residents due to their specialty. These results suggest that when residents are under stress, food decisions are influenced more by emotional factors, leading to difficulty in managing the amount and volume of food eaten. Moreover, this eating behavior serves as a coping mechanism for negative emotions. Stress had a significant correlation with abnormal eating behavior among residents who had 4 to 6 night duties per month. Our findings were similar to that in the previous research conducted on nurses[1129] and other night-shift workers.[30] This may be because those who work on night duties may seek high-energy food such as snacks and fast foods to compensate for interrupted circadian rhythm, lack of energy, and heavy workload that significantly affect their eating behaviors.[1129] In this study, no significant correlation was found between binge eating and eating behaviors, which is not in line with previous research that suggests a strong association between binge eating and abnormal eating behaviors, specifically restrained eating.[1131] The dietary habits and choices of food of residents were unhealthy; 66.8% of the residents reported that they have less than two daily servings of vegetables and fruits and only 1.9% reported eating five servings or more, which is the recommended daily intake of fruits and vegetables by the American Heart Association. In addition, fast food intake was reported as often and daily by 34.6% and 20.1% of the residents, respectively. In addition, the consumption of snacks was reported as often and daily by 27.6% and 21% of the residents, respectively. These unhealthy food habits could be because of a lack of education and unavailability of healthy food choices, particularly outside day working hours.

Limitations

The participants were selected from one hospital (KSUMC), with nearly a modest sample size and response rate that may limit the generalizability of the results. The cause and effect could not be assessed because of the cross-sectional study design. Lastly, the self-reported survey has the potential of recall mistakes.

Conclusion

In conclusion, this study estimated the association between stress and eating behaviors considering multiple confounders among residents in KSUMC. Our findings demonstrated a positive correlation between stress, night duties, and abnormal eating behaviors. Furthermore, the results suggested unhealthy dietary habits and food choices among residents. Therefore, it is recommended that hospitals provide stress-relieving programs, educational programs to promote healthy eating, and provide healthy food choices for residents, particularly for those having night duties.

Key Points

Stress, as other mental health disturbances, significantly affects individuals’ dietary behaviors. Primary care physicians are among the highest categories exposed to stressful situations that could increase their stress levels. Lack of stress coping strategies among physicians could significantly exacerbate the consequences, which might include negative changes in eating behaviors. Emotional eating behavior and clearly labeled emotions were positively correlated with a high level of perceived stress among residents. Stress had a significant correlation with abnormal eating behavior among Saudi residents who had 4 to 6 night duties per month. No significant correlation was found between binge eating and eating behaviors.

Financial support and sponsorship

Nil.

Conflicts of interest

There are no conflicts of interest.
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