Original Article |
Corresponding author: Margarita A. Todorova ( todoroff.md@gmail.com ) © 2024 Margarita A. Todorova, Antoniya H. Yaneva, Desislava R. Bakova, Stanislava N. Harizanova.
This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Citation:
Todorova MA, Yaneva AH, Bakova DR, Harizanova SN (2024) Investigating the types of eating behavior among shift workers in the machine-building industry. Folia Medica 66(5): 699-706. https://doi.org/10.3897/folmed.66.e132829
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Introduction: Shift work has become the norm and an absolute necessity in various sectors of public life. Different production processes, technologies, and the nature of certain jobs lead to various health risks. Unhealthy eating behaviors remain common among shift workers across all economic sectors.
Aim: This study aims to compare the eating habits and dietary patterns of shift workers and fixed daytime workers in the Bulgarian machine-building industry, focusing on identifying differences that may influence health outcomes.
Materials and methods: A cross-sectional study was conducted at three work sites of a machine-building enterprise in Bulgaria, involving 309 workers (149 shift workers and 160 fixed daytime workers). Data on eating habits were collected using a 54-item Food Frequency Questionnaire (54-FFQ) adapted for the local population. Descriptive statistics were used to summarize the demographic and dietary data. Group comparisons between shift workers and fixed daytime workers were made using the Mann-Whitney U test for non-normally distributed continuous variables. A p-value of less than 0.05 was considered statistically significant.
Results: The study found significant differences in eating habits between shift workers and fixed daytime workers. Shift workers were more likely to consume white bread (p=0.003), fast food (p=0.045), margarine (p=0.001), fried potatoes (p=0.041), and processed meats (p=0.021) than fixed-daytime workers were. In contrast, fixed-daytime workers had a higher consumption of fruits (p=0.034), vegetables (p=0.047), and alcoholic beverages like beer (p=0.008), wine, and spirits (p=0.005) than shift workers. These differences suggest that work schedules may significantly influence dietary choices and impact workers’ health outcomes.
Conclusion: Shift work disrupts the natural daily rhythm and leads to changes in eating behavior, such as irregular meals, skipping breakfast, and eating late in the evening and at night. Our study highlights how these behaviors are associated with the regular consumption of processed, energy-dense foods rich in carbohydrates and fats but low in fiber and essential nutrients. The eating habits observed in our research are a significant risk factor for developing cardiometabolic diseases.
dietary patterns, health promotion, nighttime eating, public health, shift work
With the rapid growth of industrialization and urbanization, shift work has become a necessary and widely accepted standard globally, especially in sectors such as healthcare, public safety, transportation, machine-building, and other industries that require 24-hour production and service.[
Shift work increases the risk of obesity, type 2 diabetes (T2D), and cardiovascular diseases (CVD), likely due to the mismatch between work schedules and typical patterns of work and rest in society.[
The goal of the study is to analyze and compare the dietary habits of shift workers and fixed-daytime workers in the Bulgarian machine-building industry. Specifically, it aims to identify significant differences in the frequency and types of foods consumed, with a focus on understanding the influence of shift working on eating habits. Through this comparison, the study goal is to uncover key differences that could have impact on the health and well-being of the shift workers.
The cross-sectional study was conducted within three work sites of a machine-building enterprise, located in Sopot, Kalofer, and Karnare. A total of 309 workers, both on shift and fixed daytime schedules, participated. The 54-FFQ questionnaire was used to comprehensively assess lifestyle, eating habits, and the frequency of food intake among the workers. The questionnaire is an adapted version of the validated KomPAN[
Statistical analysis was performed using SPSS for Windows v. 22. Descriptive characteristics of quantitative variables were presented as mean ± SE (arithmetic mean ± standard error of the mean) and SD (standard deviation), while categorical variables were expressed as absolute and relative frequencies (N, %). The Mann-Whitney U test was used to compare two independent groups for non-normally distributed parameters. The association between categorical variables was assessed using Fisher’s exact test for 2×2 tables and the chi-square test (χ²) for larger tables. A p-value of less than 0.05 was considered statistically significant. Microsoft Excel 2016 was used for the graphical presentation of the results.
The study involved 309 workers, with 160 (51.80%) on fixed daytime schedules and 149 (48.20%) on shift schedules. Demographic details of the respondents are shown in Table
Characteristics | Мean ± SE N (%) |
Sex | |
Male | 82 (26.5%) |
Female | 227 (73.5%) |
Age | 44.76±0.66 |
Years of experience in current job | 12.74±0.59 |
Education | |
Primary | 1 (0.3%) |
Secondary | 15 (4.9%) |
High school | 105 (34.0%) |
Vocational secondary | 97 (31.4%) |
Professional bachelor | 4 (1.3%) |
Bachelor’s degree | 29 (9.4%) |
Master’s degree | 58 (18.8%) |
Marital status | |
Married | 169 (54.7%) |
Single | 52 (16.8%) |
Divorced | 15 (4.9%) |
Separated | 2 (0.6%) |
Widowed | 17 (5.5%) |
In a partnership | 54 (17.5%) |
Tobacco use | |
Smoker | 171 (55.3%) |
Non-smoker | 138 (44.7%) |
Income | |
Below the average for Bulgaria | 160 (51.8%) |
At the average for Bulgaria | 135 (43.7%) |
Above the average level for Bulgaria | 14 (4.5%) |
The average age of the participants is 44.76±0.66, SD=11.57 (Table
Distribution of participants by sex and age in shift and fixed daytime schedule groups
Group | Sex | N | Мean ± SE | SD | Min | Max |
Fixed daytime schedule | Male | 52 | 40.69±1.84 | 13.28 | 18.00 | 68.00 |
Female | 108 | 44.07±1.05 | 10.88 | 21.00 | 63.00 | |
Shift work | Male | 30 | 45.07±2.45 | 13.41 | 25.00 | 76.00 |
Female | 119 | 47.08±0.96 | 10.42 | 21.00 | 64.00 |
The average total years of employment for participants is 22.51±0.66 years (SD=11.65) and the average number of years in their current job is 12.74±0.59 years (SD=10.34). In assessing participants’ eating habits over the past four weeks, we found that 247 (79.9%) of them did not limit their calorie intake, and 245 (79.3%) did not restrict their salt consumption. Among shift workers, 78.5% did not limit their calorie intake, and 79.9% did not restrict their salt consumption. There were no statistically significant differences between the two groups regarding these dietary practices or in adherence to restrictive diets over the past four weeks (Table
No N (%) | Yes N (%) | χ 2 | df | p | |
Have you restricted your calorie intake over the past four weeks? | |||||
Fixed daytime schedule | 130 (81.3%) | 30 (18.8%) | |||
Shift work | 117 (78.5%) | 32 (21.5%) | 0.358 | 1 | 0.572 |
Have you restricted your salt intake over the past four weeks? | |||||
Fixed daytime schedule | 126 (78.8%) | 34 (21.3%) | |||
Shift work | 119 (79.9%) | 30 (20.1%) | 0.058 | 1 | 0.888 |
Have you followed a diet over the past four weeks? | |||||
Fixed daytime schedule | 144 (90.0%) | 16 (10.0%) | |||
Shift work | 137 (91.9%) | 12 (8.1%) | 0.355 | 1 | 0.692 |
Regarding the three main meals (breakfast, lunch, and dinner), 64.7% of participants reported not following a regular meal schedule. There were no significant differences between the two groups in adherence to these meals (χ²=0.719, df=1, p=0.407) or in the consumption of foods between meals (χ²=6.752, df=4, p=0.150). However, when analyzing the frequency of nighttime eating, significant differences were found between the two groups (χ²=27.887, df=2, p<0.001) (Fig.
In both groups we studied, sugary foods were the most commonly consumed items during nighttime eating, with fruits and vegetables following in frequency (Fig.
In the shift work group, the consumption of different food categories was fairly balanced: 34.4% of participants ate fruits and vegetables, 32.3% consumed sugary foods, another 32.3% preferred sandwiches, 21.9% ate snacks like pretzels and crackers, and 10.4% consumed dairy products.
We identified statistically significant differences between the two groups in the types of foods consumed during nighttime eating (χ²=15.639, df=6, p=0.016). Those on a fixed daytime schedule were more likely to eat sugary foods at night, whereas shift workers tended to eat sandwiches more frequently during nighttime. Despite these differences, 96.8% of participants reported that they primarily consume cooked meals.
Additionally, to align with the study’s objective, it was essential to assess the frequency of food intake across various categories of commonly consumed foods and beverages in the Bulgarian population, covering a total of 54 food items. Significant differences between the two groups were observed (Table
Frequency of food intake among workers on fixed daytime schedule and shift work schedule
Food items and drinks | Work Schedule | N | Mean rank | U | z | p |
Ice creams and custards | Fixed daytime schedule | 160 | 145.56 | |||
Shift work | 149 | 165.14 | 10409.5 | −2.009 | 0.045 | |
White (wheat) bread | Fixed daytime schedule | 160 | 140.39 | |||
Shift work | 148 | 169.75 | 9583.0 | −2.956 | 0.003 | |
Fast food | Fixed daytime schedule | 160 | 145.20 | |||
Shift work | 148 | 164.55 | 10352.0 | −2.007 | 0.045 | |
Margarine | Fixed daytime schedule | 160 | 140.20 | |||
Shift work | 148 | 169.96 | 9552.0 | −3.387 | 0.001 | |
Fruits | Fixed daytime schedule | 160 | 164.56 | |||
Shift work | 148 | 143.62 | 10230.0 | −2.124 | 0.034 | |
Vegetables (potatoes excluded) | Fixed daytime schedule | 160 | 163.85 | |||
Shift work | 148 | 144.39 | 10344.0 | −1.987 | 0.047 | |
Fried potatoes and chips | Fixed daytime schedule | 160 | 145.06 | |||
Shift work | 148 | 164.71 | 10329.5 | −2.045 | 0.041 | |
Hot dogs, sausages, and frankfurters | Fixed daytime schedule | 160 | 144.14 | |||
Shift work | 149 | 166.66 | 10182.5 | −2.303 | 0.021 | |
Beer | Fixed daytime schedule | 160 | 167.08 | |||
Shift work | 149 | 142.03 | 9988.0 | −2.640 | 0.008 | |
Wine and alcoholic cocktails | Fixed daytime schedule | 160 | 176.14 | |||
Shift work | 149 | 132.30 | 8537.5 | −4.518 | 0.001 | |
Spirits | Fixed daytime schedule | 160 | 167.68 | |||
Shift work | 149 | 141.38 | 9890.5 | −2.833 | 0.005 |
A key aspect that distinguishes our study from others is that respondents have had access to organized meals and cooked dishes for each work shift at every site, all aimed at promoting healthy eating habits. Despite these measures, we found a strong association between shift work and unhealthy eating habits. Shift workers often consume more calories and salt, which may heighten their risk of obesity and hypertension.[
Regardless of the work shift, most of the workers in the study eat irregularly and do not follow the three main meals in the breakfast-lunch-dinner cycle. Stress and fatigue common in the machine building industry, along with a lack of time for meal preparation, may contribute to missing these key meals. Shift workers eat significantly more frequently at night than those with fixed daytime schedules, which is consistent with recent research findings.[
Both groups of participants report that they most frequently consume sugary foods at night. A meta-analysis explains this common behavior among shift workers by the convenience and easy accessibility of packaged sweet products, as well as the presence of vending machines at the workplace.[
In contrast to our findings, some studies have reported that shift work is associated with increased alcohol consumption.[
Despite 96.8% of participants reporting that they mainly eat cooked meals, due to the organized meal service provided for each work shift, there is a clear preference for unhealthy foods at night. Shift workers consume a mix of healthy and unhealthy foods, with a notable tendency towards sugary items, sandwiches, pretzels, and crackers. This pattern is concerning due to the high intake of salt and refined sugar. Despite shift workers consuming healthier options like fruits, vegetables, and dairy products, there is still a need for better education and promotion to encourage greater selection of these foods. Improving awareness and support for making healthier food choices could significantly enhance the overall health of shift workers.
This study revealed distinct differences in the eating habits between shift workers and fixed daytime workers. Shift workers were more likely to engage in irregular meal patterns, including skipping breakfast and eating late at night. In contrast with fixed daytime workers, who were found to consume more fruits and vegetables, shift workers exhibit a higher intake of processed, energy-dense foods such as sugary products, fast food, and snacks. The behaviors we observed contribute to a higher intake of carbohydrates and fats, which are linked to increased health risks. On the other hand, despite having a more regular eating schedule, fixed-daytime workers still preferred high-calorie foods, particularly in the evening, along with higher alcohol consumption. Our findings emphasize the need for targeted nutritional interventions for shift workers to address the irregular and unhealthy eating patterns associated with their work schedules. The exact mechanisms by which shift work affects eating behavior remain unclear.[
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The authors have declared that no competing interests exist.