| Literature DB >> 30404995 |
Charlotte C Gupta1, Alison M Coates2, Jill Dorrian1, Siobhan Banks1.
Abstract
Shiftwork leads to altered eating patterns, with workers often eating foods at all times across the 24 h period. Strategies to reduce the burden of shiftwork on the workers should be prioritised and altering these eating patterns is an important area for change. This narrative review examines the current evidence on the individual and environmental factors influencing the eating behaviours of shiftworkers. A systematic search was conducted and yielded 62 articles. These were split into four themes that influence eating patterns; When shiftworkers eat, What type of foods shiftworkers eat, Where the food is sourced from, and Why shiftworkers choose to eat on shift. Irregular working hours was the biggest influence on when workers ate on shift, shift-type was the biggest influence on what workers ate, the majority of food was sourced from canteens and cafeterias, and socialising with colleagues was the biggest reason why workers chose to eat. While more research is needed to explore multiple industries and shift-types, and to investigate the ideal size, type and timing of food on shift, this review has highlighted that future research into shiftworker eating needs to adopt an integrative approach and consider the different individual and social contexts that influence eating patterns.Entities:
Keywords: Eating at night; Meal timing; Nightshift; Safety; Shiftwork
Year: 2018 PMID: 30404995 PMCID: PMC6685801 DOI: 10.2486/indhealth.2018-0147
Source DB: PubMed Journal: Ind Health ISSN: 0019-8366 Impact factor: 2.179
Fig. 1.Flow chart illustrating the systematic search for articles included in this review.
Summary of research on the first theme of the review, ‘When shiftworkers eat during the nightshift’, including the authors, participants, food related measure, key findings and the factor within this theme to which this article relates
| Author(s), year | Country & Participant information | Study design | Shift-type | Industry | Eating behaviour methodology | Findings |
|---|---|---|---|---|---|---|
| 1. 1 Irregular working hours | ||||||
| Bonnell, Huggins, 2017 | Australia, 42 males and females | Mixed method, cross-sectional | Rotating | Firefighting | Focus groups and 24h dietary recalls | Shift-type influenced food intake. Participants stated that they would consume healthier foods on the day shift than on the nightshift and would consume more takeaway foods on nightshift. |
| De Freitas, Canuto, 2015 | Brazil, 1,206 males and females | Quantitative, cross-sectional | Fixed day and nightshifts | Poultry slaughterhouse | Diet questionnaire | Almost all nightshift workers reported eating breakfast at an inappropriate time. |
| Esquirol, Bongard, 2009 | France, 198 males | Quantitative, cross-sectional | Rotating and day | Chemical plant | Diet history questionnaire | Total energy consumption was comparable between different shift types but the energy distribution across the day differed amongst shift types. |
| Geliebter, Gluck, 2000 | USA, 85 male and females | Quantitative, cross-sectional | Day shift and evening/nightshift | Healthcare and security | Questionnaire | Late-shift workers reported fewer meals compared to day-shift workers. |
| Han, Choi-Kwon, 2016 | Korea, 240 females | Quantitative, cross-sectional | Rotating and fixed | Healthcare | Questionnaire | Nurses who worked rotating schedules with nightshifts had irregular meals more often than rotating schedule workers without nightshifts. Among nurses with a rotating schedule with nightshifts, only 21% had 3 meals per day. The most common reasons for skipping meals were irregular work schedules and lack of time. |
| Kräuchi, Nussbaum, 1990 | Switzerland, 28 males and females | Quantitative, cross-sectional | Nightshift | Healthcare | Daily food and drink frequency questionnaire | The content of meals did not change on different shifts, but the timing of food intake changed. |
| Lasfargues, Cacès, 1996 | France, 2,400 males and females | Quantitative, cross-sectional | Day shift and nightshift | Middle management, employee (including nursing staff), worker, police/army, other (including service) | Questionnaire | Men were more likely to skip breakfast during the nightshift. |
| Pasqua and Moreno, 2004 | Brazil, 28 males | Quantitative, longitudinal | Fixed morning, fixed afternoon and fixed nightshifts | Transport | 3-d dietary record | The season of the year impacts the eating habits of shiftworkers. Food consumption was greater in winter compared to summer. |
| Reeves, Newling-Ward, 2004 | UK, 36 males and females | Quantitative, longitudinal | Nightshift and day-shift | Healthcare | 6-d food diary | Timing of meals differs on work days to non-work days. |
| Strzemecka, Bojar, 2014 | Poland, 700 males and females | Quantitative, cross-sectional | Shiftwork (specific shift type(s) not provided) | Mine workers | Questionnaire | 46.3% of respondents considered their eating habits as inappropriate, 68.2% cited shiftwork as the reason for their irregular nutrition habits. Shiftwork made it difficult to follow regular consumption of meals for 66% of the sample. |
| Sudo and Ohtsuka, 2001 | Japan, 137 males and females | Quantitative, cross-sectional | Rotating and fixed day shift | Computer factory | Questionnaire | Late workers had lower energy and nutrient intake compared to daytime workers. Late workers had lower daily energy from breakfast, the authors suggest that this indicates that breakfast was skipped. |
| Takagi, 1972 | Japan, 1,335 males and females | Quantitative, cross-sectional | Rotating | Textile factory, iron works and a chemical factory | Questionnaire | Nightshift workers reported eating 4 meals on nightshift days. In both factories, a meal was eaten during the nightshift . |
| Yoshizaki, Kawano, 2016 | Japan, 285 females | Quantitative, cross-sectional | Rotating and fixed day shift | Healthcare | Questionnaire | An increase in improper eating habits and a higher probability of obesity was found for rotating shiftworkers compared to day workers. |
| 1.2 Break availability | ||||||
| Anstey, Tweedie, 2016 | Australia, 15 males and females | Qualitative, cross-sectional | Rotating | Healthcare (paramedics) | Interviews | Breaks were often interrupted for an emergency call out, or not available at all due to a heavy workload. Eating events were seen as opportunistic. Paramedics reported that an increased workload led to a greater incidence of disrupted or missed meal breaks. |
| Faugier, Lancaster, 2001 | England, 126 participants (sex of participants not provided) | Quantitative, cross-sectional | Specific shift type(s) not provided | Healthcare | Questionnaire | Participants cited a lack of breaks as a barrier to healthy eating and were unable to take sufficient breaks due to workload. |
| Gifkins, Johnston, 2018 | 21 females | Qualitative, cross-sectional | Shiftwork (specific shift type(s) not provided) | Healthcare | Interviews | Participants reported skipping meals due to increased workload . |
| Jack, Piacentini, 1998 | Scotland, 46 males and females | Mixed method, cross-sectional | Variable shift patterns (specific shift type(s) not provided) | Transport | Focus group (n=6) and repertory grid method sessions where individual questionnaires on specific food use were generated and completed | Drivers report choosing to eat when convenient and when there was time available. |
| Keogh, 2014 | England, approximately 3500 participants (specific sample size and participant sex not provided) | Quantitative, cross-sectional | Shiftwork (specific shift type(s) not provided) | Healthcare | Questionnaire | The walk to the canteen is time-consuming and limits food options. After walking to the canteen to get food there is not a lot of time left in the break to eat it. |
| Lemaire, Wallace, 2011 | Canada, 20 males and females | Qualitative, cross-sectional | Shiftwork (specific shift type(s) not provided) | Healthcare | Semi-structured interviews | Doctors were concerned about not enough time during the work day to eat, and that workload and work schedule prevents them from taking breaks to eat. There is also not enough time to walk to purchase something to eat. |
| Monaghan, Dinour, 2018 | USA, 20 females | Qualitative, cross-sectional | Rotating, fixed day shift, fixed nightshift | Healthcare | Interviews | All participants reported that they were unable to take their full breaks, largely due to prioritizing patient care. 85% of the participants reported taking a break affected their eating habits and 75% attributed taking a break to healthier eating. |
| Nea, Pourshahidi, 2017 | Ireland, 109 males and females | Qualitative, cross-sectional | Rotating, fixed day shift, fixed nightshift | Accommodation and food services, health and social care sector, manufacturing/industry sector | Focus groups | A lack of a consistent routine and erratic work schedule were perceived as one of the most difficult aspects of shiftwork, as well as a demanding environment with a lack of breaks and heavy workload. |
| Nyberg and Lennernäs Wiklund, 2017 | Denmark and Sweden, 20 males and females | Qualitative, cross-sectional | Short- and long-haul flights | Aviation (flight attendants) | Interviews | Meals at work were characterised by irregularity and involved eating in a hurry and often standing up. Meals were unpredictable with regard to time, place and food available. Eating during short-haul flights was described as stressful and time-pressured. |
| Phiri, Draper, 2014 | South Africa, 102 participants (participant sex not provided) | Qualitative, cross-sectional | Nightshift, dayshift and non-shiftworkers | Healthcare | Focus group | Nurses reported a lack of time to prepare healthy meals, due to long working hours and being over-tired. |
| Rogers, Hwang, 2004 | USA, 393 males and females | Quantitative, longitudinal | Shiftwork (specific shift type(s) not provided) | Healthcare | Log books | Nurses were able to have a break, free of patient care responsibilities on less than half of the shifts worked. During 10% of the shifts, nurses had no opportunity to break and on 43% of the shifts nurses had time for a break but were not relieved from patient care responsibilities. |
| Strickland, Eyler, 2015 | USA, 102 males and females | Qualitative, cross-sectional | Shiftwork (specific shift type(s) not provided) | Healthcare and retail | Focus group | Schedules and breaks were reported as having an impact on the healthy eating of workers. Short and interrupted breaks made it difficult to eat healthy. |
| Torquati, Kolbe-Alexander, 2016 | Australia, 17 males and females | Qualitative, cross-sectional | Shiftwork (specific shift type(s) not provided) | Healthcare | Focus groups | A lack of breaks were reported as common, particularly during the nightshift, and this led to poor food choices. The work demands made it challenging to find time to take a break and this led to overeating as nurses would eat as much as they could when given the opportunity to take a break. |
| 1.3 The interaction between shiftwork and family life on meal timing | ||||||
| Attia, Mustafa, 1985 | Kuwait, 40 males | Quantitative, cross-sectional | Rotating | Police | Food intake checklist | Fewer meals were eaten with family when working shiftwork compared to days off. |
| Jay, Paterson, 2018 | Australia, 24 females | Mixed method, cross-sectional | On-call workers (salaried and volunteer) | Emergency services | Interview | Participants reported that they may be called to a job in the middle of family dinner and pre-planning of meals was done to make the disruption of on-call work easier. |
| Hertz and Charlton, 1989 | USA, 44 males and their female spouses | Qualitative, cross-sectional | Rotating | Air force security | Interviews | Shiftwork disrupts the regular diurnal pattern of family life and shifts the timing of family meals. |
| Kniffin, Wansink, 2015 | USA, specific sample size and participant sex not provided | Qualitative, cross-sectional | Shiftwork (specific shift type(s) not provided) | Firefighting | Semi-structured group interviews | Nightshifts started at 6pm and some firefighters, particularly those married, reported eating dinner at home with their wife and/or family and then again at the firehouse. |
| Monaghan, Dinour, 2018 | USA, 20 females | Qualitative, cross-sectional | Rotating, fixed day shift, fixed nightshift | Healthcare | Interviews | Work hours typically conflicted with their families’ eating habits on non-work days. |
| Naweed, Chapman, 2017 | Australia, 29 males and females | Qualitative, cross-sectional | Shiftwork (specific shift type(s) not provided) | Train drivers | Focus group | Time pressures and misalignment with shiftwork and life schedules prevent the ability to eat meals at times that suited the participants and their family. |
| Nea, Kearney, 2015 | Ireland, 109 males and females | Qualitative, cross-sectional | Rotating, fixed day shift, fixed nightshift | Accommodation and food services, health and social care sector, manufacturing/industry sector | Focus groups | Difficulties with time management were reported, with workers experiencing pressures from the workplace and at home. |
The table is organised by factor. Studies may appear multiple times in the table as the findings address more than one factor.
Summary of research on the second theme of the review, ‘What shiftworkers eat during the nightshift’, including the authors, participants, food related measure, key findings and the factor within this theme to which this article relates
| Author(s), year | Country & Participant information | Study design | Shift-type | Industry | Eating behaviour methodology | Findings |
|---|---|---|---|---|---|---|
| 2.1 Meal Size | ||||||
| Bonnell, Huggins, 2017 | Australia, 42 males and females | Mixed method, cross-sectional | Rotating | Firefighting | Focus groups and 24 h dietary recalls | On nightshifts a greater proportion of snacks were consumed (chocolates, ice-cream, sweet pastries). |
| De Freitas, Canuto, 2015 | Brazil, 1,206 males and females | Quantitative, cross-sectional | Fixed day and nightshifts | Poultry slaughterhouse | Diet questionnaire | Nightshift workers report greater incidence of snacking during the afternoon and less breakfast and morning snack consumption. |
| Gander, Gregory, 1998 | USA, 74 males | Observational, longitudenal | Shiftwork (short-haul flights) | Aviation | Observational monitoring | More snacks were eaten on shift than pre-shift or post-shift. The provision of crew meals did not affect the number of meals or snacks eaten on shift. |
| Gander, Gregory, 1998 | USA, 34 males and females | Observational, longitudinal | Shiftwork (8-d trip patterns) | Aviation | Observational monitoring | More snacks reported on duty days than pre-shift, post-shift or days off. |
| Gifkins, Johnston, 2018 | 21 females | Qualitative, cross-sectional | Shiftwork (specific shift type(s) not provided) | Healthcare | Interviews | Nurses reported more snacking behaviour during shiftwork, particularly nightshifts. Most of the participants believed their diets had changed since starting shiftwork, with some reporting less healthy diets since starting shiftwork. |
| Han, Choi-Kwon, 2016 | Korea, 240 females | Quantitative, cross-sectional | Rotating and fixed | Healthcare | Questionnaire | Rotating nurses with night shifts snacked the most frequently, whereas rotating nurses without nightshifts snacked mostly in the afternoon. |
| Haus, Reinberg, 2016 | France, 7 males | Quantitative, longitudinal | Rotating and non-shiftwork | Oil refinery | 56-d food diary | Nibbling behaviour occurred during the nightshift, and included sweet foods and carbohydrate consumption. |
| Holmes, Power, 1996 | USA, 63 males and females | Quantitative, cross-sectional | Shiftwork (specific shift type(s) not provided) | Transport | Questionnaire on health and nutrition habits | On weekdays, most drivers ate a dinner meal while on the road, and snacks were also frequently eaten. |
| Lennernäs, Åkerstedt, 1994 | Sweden, 22 males | Quantitative, longitudinal | Rotating | Industrial factory workers | 24 h dietary recall | Across morning, afternoon and night shifts, total 24 h energy intake did not differ. On the nightshift 30–40% of 24 h energy intake was consumed, compared to 40–50% of intake consumed on morning and afternoon shifts. |
| Novak and Auvil-Novak,1996 | USA, 45 females | Qualitative, cross-sectional | Shiftwork (specific shift type(s) not provided) | Healthcare | Focus group | Working the nightshift made it harder to eat nutritionally balanced meals and meal splitting was utilised to maintain a balanced diet. Some nurses refrained from eating while on shift. |
| Reeves, Newling-Ward, 2004 | UK, 36 males and females | Quantitative, longitudinal | Nightshift and day-shift | Healthcare | 6-d food diary | On work days, male shiftworkers ate the greatest amount of kilojoules at 4 pm, compared to 1 pm on rest-days. Female food intake peaked at 7 pm on both work and rest days and when working the nightshift they were more likely to eat during the night and less during the day. |
| Sahu and Dey, 2011 | India, 75 participants (sex of participants not provided) | Quantitative, cross-sectional | Rotating | Healthcare | Questionnaire on shiftwork, digestive problems, food habits, food intake, ratings of eating satisfaction and appetite, and diet surveys | The number of full meals eaten during the nightshift was less than eaten during morning and afternoon shifts, and the number of snacks was greater during the nightshift. |
| Torquati, Kolbe-Alexander, 2016 | Australia, 17 males and females | Qualitative, cross-sectional | Shiftwork (specific shift type(s) not provided) | Healthcare | Focus groups | Working the nightshift was considered by nurses to be one of the major barriers for following a healthy diet. Irregular meal patterns resulted from nightshifts. |
| 2.2 Type of food | ||||||
| Balieiro, Rossato, 2014 | Brazil, 150 males | Quantitative, cross-sectional | Fixed nightshift and dayshift | Transport (bus drivers) | Food frequency questionnaire | Nightshifts were associated with greater vegetable, fruit, milk and dairy product and dessert intake. |
| Bonnell, Huggins, 2017 | Australia, 42 males and females | Mixed method, cross-sectional | Rotating | Firefighting | Focus groups and 24 h dietary recalls | Total energy intake did not differ between day or nightshifts. During a 24h period that included nightshift a higher % of energy was from sugar than during a 24h period with a day shift. |
| De Assis, Nahas, 2003 | Brazil, 66 participants (sex of participants not provided) | Quantitative, longitudinal | Fixed nightshift and dayshift | Garbage collectors | 24 h recall and two 24 h records of food intake | A traditional Brazilian meal was provided to workers during the nightshift, this consisted of meat, rice, beans, roots and/or pulses, vegetables and fruit). Meat was the biggest contributor to daily energy intake across different shift types. |
| Fernandes Jda, Portela, 2013 | Brazil, 2,279 males and females | Quantitative, cross-sectional | Shiftwork (specific shift type(s) not provided) | Healthcare | Health questionnaire | Male nurses reported greater consumption of fried foods and lower consumption of fruit and vegetables compared to the female nurses. For female nurses, longer working hours was associated with greater consumption of fried foods. |
| Fisher, Rutishauser, 1986 | Australia, 25 males | Mixed-method, longitudinal | Rotating | Oil refinery workers | Interviews during one nightshift, one afternoon shift and one day shift, and 24 h food record | On nightshifts, milk/milk products, non-alcoholic beverages and yellow and green vegetables were consumed more frequently than on other shift types. |
| Han, Choi-Kwon, 2016 | Korea, 240 females | Quantitative, cross-sectional | Rotating and fixed | Healthcare | Questionnaire | Of the sample, 76% of nurses reported having a healthy dietary intake. 30% of nurses ate high carbohydrates snacks every day. |
| Haus, Reinberg, 2016 | France, 7 males | Quantitative, longitudinal | Rotating and non-shiftwork | Oil refinery | 56-d food diary | No differences between the groups in caloric intake, protein, lipids and carbohydrates. Lower intake of fat and greater carbohydrate consumption during a nightshift compared to a day shift. |
| Heath, Coates, 2016 | Australia, 118 males and females | Quantitative, cross-sectional | Shiftwork (specific shift type(s) not provided) | Printing, postal, nursing, oil and gas industries | Food frequency questionnaire | Permanent night workers were the only group to report higher than recommended fat intake. All workers reported lower than recommended levels of carbohydrate, and protein was in the recommended levels (as a percentage of daily intake). |
| Hemiö, Puttonen, 2015 | Finland, 1,478 males and females | Quantitative, cross-sectional | Shiftwork and non-shiftwork | Aviation | Food intake questionnaire | Male and female in-flight workers used high-fat milk products more than the day workers. For males, estimated energy intake from fat and saturated fat was the highest in the shift work group and lowest in the in-flight group. For females, energy intake from saturated fat was higher among shift workers compared with day workers. In shift-working men who did not work nightshifts, sucrose intake was lower compared with men who worked at least three nights per month. |
| Holmes, Power, 1996 | USA, 63 males and females | Quantitative, cross-sectional | Shiftwork (specific shift type(s) not provided) | Transport | Questionnaire on health and nutrition habits | The drivers’ favourite meals were steak and burgers, and the preferred snacks were chips and fruit. |
| Kräuchi, Nussbaum, 1990 | Switzerland, 28 males and females | Quantitative, longitudinal | Fixed nightshift | Healthcare | Daily food and drink frequency questionnaire | Total food intake and overall sweets intake did not change across different shift types. Caffeine rich drinks and milk intake were consumed more during the nightshift. |
| Lennernäs, Hambraeus, 1995 | Sweden, 96 males | Quantitative, longitudinal | Rotating and day shift | Industrial factory workers | 24 h dietary recall | Shiftwork did not affect the 24h intake of energy and nutrients but caused a redistribution of food intake. For three-shift workers, the intake of energy, protein, total carbohydrates, sucrose, total fat, calcium and selenium were significantly lower during nightshifts compared to afternoon shifts. |
| Morikawa, Miura, 2008 | Japan, 2,254 males | Quantitative, cross-sectional | Rotating | Factory workers | Questionnaire | No difference in macronutrients consumed among different shift types. |
| Mota, De-Souza, 2013 | Brazil, 72 males and females | Quantitative, longitudinal | Shiftwork (specific shift type(s) not provided) | Healthcare | Dietary recall | Data evaluated using the adapted healthy eating index. The average overall score of residents was 82.6, indicating the diet needs improvement. |
| Mota, Waterhouse, 2014 | Brazil, 72 males and females | Quantitative, longitudinal | Shiftwork (specific shift type(s) not provided) | Healthcare | Dietary recall | A shorter duration of sleep was associated with a greater intake of cereals, meat and cholesterol. Poorer sleep quality was associated with increased hours of additional work per week and a decrease in fruit and bean consumption. |
| Roskoden, Krüger, 2017 | Germany, 44 males and females | Quantitative, longitudinal | Rotating and non-shiftwork | Healthcare | Food diary | Total energy intake was similar between the shiftwork and non-shiftworking groups. There was a higher percentage of fat intake among the office staff compared to the shiftworking and non-shiftworking nurses. The percentage of carbohydrate intake was less in the office group compared to shiftworking nurses. |
| Sahu and Dey, 2011 | India, 75 participants (sex of participants not provided) | Quantitative, cross-sectional | Rotating | Healthcare | Questionnaire on shiftwork, digestive problems, food habits, food intake, ratings of eating satisfaction and appetite, and diet surveys | When working the nightshift, the mean energy intake of carbohydrate, protein and fat were less than other shift types. |
| Zapka, Lemon, 2009 | USA, 194 males and females | Quantitative, cross-sectional | Shiftwork (specific shift type(s) not provided) | Healthcare | Food frequency questionnaire | Participants consumed less servings of fruit and vegetables per day than government guidelines and had a higher average percentage of calories from fat compared to government guidelines. Overweight participants reported fewer fruit and vegetable servings as those who perceived themselves as just right or underweight. |
The table is organised by factor.
Studies may appear multiple times in the table as the findings address more than one factor.
Summary of research on the third theme of this review, ‘Where shiftworkers source food from during the nightshift’, including the authors, participants, food related measure, key findings and the factor within this theme to which this article relates
| Author(s), year | Country & Participant information | Study design | Shift-type | Industry | Eating behaviour methodology | Findings |
|---|---|---|---|---|---|---|
| 3.1 Canteen/Cafeteria | ||||||
| Faugier, Lancaster, 2001 | England, 126 participants (sex of participants not provided) | Quantitative, cross-sectional | Specific shift type(s) not provided | Healthcare | Questionnaire | Nurses were not satisfied with hospital catering facilities. |
| Lemaire, Wallace, 2011 | Canada, 20 males and females | Qualitative, cross-sectional | Shiftwork (specific shift type(s) not provided) | Healthcare | Semi-structured interviews | Doctors reported that the after-hours access to canteen services was limited. Canteens were too far away for some wards and lining up for food took too long. |
| Monaghan, Dinour, 2018 | USA, 20 females | Qualitative, cross-sectional | Rotating, fixed day shift, fixed nightshift | Healthcare | Interviews | The cafeterias offered healthy options, however 60% of the sample reported there was not enough time to eat there. |
| Novak and Auvil-Novak, 1996 | USA, 45 females | Qualitative, cross-sectional | Shiftwork (specific shift type(s) not provided) | Healthcare | Focus group | The closing of the hospital cafeteria limited food choice availability. |
| Phiri, Draper, 2014 | South Africa, 102 participants (participant sex not provided) | Qualitative, cross-sectional | Nightshift, dayshift and non-shiftworkers | Healthcare | Focus group | Buying fast food was considered the most convenient option. The cafeteria was closed at night, but day shift nurses agreed that the cafeteria had predominantly unhealthy food options, and while there were some healthier options (such as fruits and salads) these were more expensive. |
| Stewart and Wahlqvist, 1985 | Australia, 267 males and females | Quantitative, cross-sectional | Fixed day, afternoon and nightshifts | Steel and aluminium plants | Questionnaire | Food was purchased from the canteen by a greater proportion of workers on day shift than on nightshift. |
| Sudo and Ohtsuka, 2001 | Japan, 137 males and females | Quantitative, cross-sectional | Rotating and fixed day shift | Computer factory | Questionnaire | A large majority of the workers had dinner at the cafeteria but there was dissatisfaction with the menu. |
| Waterhouse, Buckley, 2003 | United Kingdom, 93 males and females | Quantitative, cross-sectional | Fixed nightshift and non-shiftworkers | Healthcare | Food intake questionnaire | During the nightshift the canteen was open but had limited food options. |
| 3.2 Workplace provides meals | ||||||
| De Assis, Nahas, 2003 | Brazil, 66 participants (sex of participants not provided) | Quantitative, longitudinal | Fixed nightshift and dayshift | Garbage collectors | 24 h recall and two 24 h records of food intake | A traditional Brazilian meal was provided to workers during the nightshift. |
| Gander, Gregory, 1998 | USA, 34 males and females | Observational, longitudinal | Shiftwork (8-d trip patterns) | Aviation | Observational monitoring | Some airlines provide crew meals in flight. |
| Nea, Kearney, 2015 | Ireland, 109 males and females | Qualitative, cross-sectional | Rotating, fixed day shift, fixed nightshift | Accommodation and food services, health and social care sector, manufacturing/industry sector | Focus groups | In the accommodation and food services sector, meals were provided at the workplace. |
| 3.3 Vending machines | ||||||
| Faugier, Lancaster, 2001 | England, 126 participants (sex of participants not provided) | Quantitative, cross-sectional | Specific shift type(s) not provided | Healthcare | Questionnaire | The majority of participants used vending machines at work. |
| Keogh, 2014 | England, approximately 3,500 participants (specific sample size and participant sex not provided) | Quantitative, cross-sectional | Shiftwork (specific shift type(s) not provided) | Healthcare | Questionnaire | Only 3 in 10 respondents rated the quality of food offered at their workplace as good or excellent. 20% of respondents reported they have a ready meal or vending machine snack at work once or twice a week and 7% had snacks or microwave meals up to 4 times a week. To improve healthy eating habits, nurses called for vending machines to be stocked with healthier options (nuts, fruit, low-sugar drinks). |
| Lillehoj, Nothwehr, 2015 | USA, 333 males and females | Quantitative, cross-sectional | Shiftwork (specific shift type(s) not provided) | Manufacturing | Vending machine intervention to increase healthy food options and a pre-intervention and post-intervention survey | Across the 4 worksites, vending machine snack purchase increased post-intervention. Some worksites increased and some decreased in satisfaction with vending machines post-intervention. |
| Stewart and Wahlqvist, 1985 | Australia, 267 males and females | Quantitative, cross-sectional | Fixed day, afternoon and nightshifts | Steel and aluminium plants | Questionnaire | Afternoon and night shift workers used the vending machines. |
| Waterhouse, Kao, 2006 | United Kingdom, 93 males and females | Quantitative, cross-sectional | Fixed nightshift and non-shiftworkers | Healthcare | Food intake questionnaire | Vending machines were utilised frequently at night. |
| 3.4 Food from home | ||||||
| Anstey, Tweedie, 2016 | Australia, 15 males and females | Qualitative, cross-sectional | Rotating | Healthcare (paramedics) | Interviews | An ambulance has a lack of facilities to store and prepare food, leading to paramedics bringing in transportable, pre-packaged, non-perishable foods on shift. |
| Bonnell, Huggins, 2017 | Australia, 42 males and females | Mixed method, cross-sectional | Rotating | Firefighting | Focus groups and 24 h dietary recalls | Workers tended to bring food from home to cook communally and eat on shift or purchase takeaway. |
| Fisher, Rutishauser, 1986 | Australia, 25 males | Mixed-method, longitudinal | Rotating | Oil refinery workers | Interviews during one nightshift, one afternoon shift and one day shift, and 24 h food record | Facilities to prepare meals were available on shift and a range of food was brought to work to consume. The canteen was only open during day and afternoon shifts. |
| Jack, Piacentini, 1998 | Scotland, 46 males and females | Mixed method, cross-sectional | Variable shift patterns (specific shift type(s) not provided) | Transport | Focus group ( | Food was brought from home. |
| Lemaire, Wallace, 2011 | Canada, 20 males and females | Qualitative, cross-sectional | Shiftwork (specific shift type(s) not provided) | Healthcare | Semi-structured interviews | There were inadequate storage facilities for items brought from home. . |
| Naweed, Chapman, 2017 | Australia, 29 males and females | Qualitative, cross-sectional | Shiftwork (specific shift type(s) not provided) | Train drivers | Focus group | Participants felt it important to plan ahead and bring food onto shift, however factors such as roster changes, fatigue and the need to sleep often prevented this. |
| Nea, Kearney, 2015 | Ireland, 109 males and females | Qualitative, cross-sectional | Rotating, fixed day shift, fixed nightshift | Accommodation and food services, health and social care sector, manufacturing/industry sector | Focus groups | There were inadequate facilities for storing foods from home. |
| Novak and Auvil-Novak, 1996 | USA, 45 females | Qualitative, cross-sectional | Shiftwork (specific shift type(s) not provided) | Healthcare | Focus group | Nurses had readily available or pre-prepared food from home to consume on shift. |
| Nyberg and Lennernäs Wiklund, 2017 | Denmark and Sweden, 20 males and females | Qualitative, cross-sectional | Short- and long-haul flights | Aviation (flight attendants) | Interviews | The lack of adequate storage facilities was a barrier to bringing food from home. Bringing in canned food or smaller snacks such as raisins, nuts and fruits were more convenient to store and did not require heating . |
| Stewart and Wahlqvist, 1985 | Australia, 267 males and females | Quantitative, cross-sectional | Fixed day, afternoon and nightshifts | Steel and aluminium plants | Questionnaire | For all shift types, most food is brought from home. |
| 3.5 Take-away | ||||||
| Anstey, Tweedie, 2016 | Australia, 15 males and females | Qualitative, cross-sectional | Rotating | Healthcare (paramedics) | Interviews | To save time on shifts without set meal breaks, paramedics would choose to purchase take-away foods if their colleague was also purchasing take-away foods. |
| Jack, Piacentini, 1998 | Scotland, 46 males and females | Mixed method, cross-sectional | Variable shift patterns (specific shift type(s) not provided) | Transport | Focus group ( | On shift, food was mainly sourced from motor service areas, truck stops and filling stations. |
| Naweed, Chapman, 2017 | Australia, 29 males and females | Qualitative, cross-sectional | Shiftwork (specific shift type(s) not provided) | Train drivers | Focus group | There were few outlets available at night offering healthy food options. This commonly led to purchasing convenient options from the service stations. |
| Nea, Pourshahidi, 2017 | Ireland, 109 males and females | Qualitative, cross-sectional | Rotating, fixed day shift, fixed nightshift | Accommodation and food services, health and social care sector, manufacturing/industry sector | Focus groups | For health and social care workers, there was a lack of canteen facilities at nights/weekends. |
| 3.6 Break area | ||||||
| Cheung, 2003 | United Kingdom, 128 participants (sex of participants not provided) | Quantitative, cross-sectional | Shiftwork (specific shift type(s) not provided) | Healthcare | Questionnaire | Participants consumed an average of 5.4 chocolates that were in the ward per day. In the sample, 43% felt guilty about eating so many chocolates and felt the need to reduce their intake. |
| Monaghan, Dinour, 2018 | USA, 20 females | Qualitative, cross-sectional | Rotating, fixed day shift, fixed nightshift | Healthcare | Interviews | Of the sample, 75% reported that food donated from patients’ families was high in sugar and fat, and often the only option in the break room. The most donated foods included donuts, cookies and cakes. |
| Torquati, Kolbe-Alexander, 2016 | Australia, 17 males and females | Qualitative, cross-sectional | Shiftwork (specific shift type(s) not provided) | Healthcare | Focus groups | Nurses reported that the quality of the food eaten was influenced by the food available in the hospital wards, such as chocolates. Nurses would continuously snack on these because they were available and accessible. If healthier options were available at work then they felt they would make better food choices. |
The table is organised by factor. Studies may appear multiple times in the table as the findings address more than one factor.
Summary of research on the fourth theme of this review, ‘Why shiftworkers choose to eat during the nightshift’, including the authors, participants, food related measure, key findings and the factor within this theme to which this article relates
| Author(s), year | Country & Participant information | Study design | Shift-type | Industry | Eating behaviour methodology | Findings |
|---|---|---|---|---|---|---|
| 4.1 Time available | ||||||
| Bonnell, Huggins, 2017 | Australia, 42 males and females | Mixed method, cross-sectional | Rotating | Firefighting | Focus groups and 24 h dietary recalls | Shift schedule was a main influence on dietary intake. |
| Holmes, Power, 1996 | USA, 63 males and females | Quantitative, cross-sectional | Shiftwork (specific shift type(s) not provided) | Transport | Questionnaire on health and nutrition habits | Drivers ate their main meals on the road and food choice was influenced by factors such as convenience, cost and time. |
| Persson and Mårtensson, 2006 | Sweden, 27 males and females | Qualitative, cross-sectional | Fixed nightshift | Healthcare | Interviews analysed with the critical incident technique | Leisure-related factors (eg don’t have the time to prepare healthy food) influence the choice to eat on shift. |
| Waterhouse, Buckley, 2003 | United Kingdom, 93 males and females | Quantitative, cross-sectional | Fixed nightshift and non-shiftworkers | Healthcare | Food intake questionnaire | On work days the reasons for eating were schedule, with a decrease in citing social and hunger as reasons. The reason determining the type of food eaten was time available significantly more on workdays. When eating during the nightshift, hunger motivated workers less and habit motivated them more. |
| 4.2 Eating with colleagues | ||||||
| Anstey, Tweedie, 2016 | Australia, 15 males and females | Qualitative, cross-sectional | Rotating | Healthcare (paramedics) | Interviews | Psychosocial factors influenced food choice. |
| Bonnell, Huggins, 2017 | Australia, 42 males and females | Mixed method, cross-sectional | Rotating | Firefighting | Focus groups and 24 h dietary recalls | The attitudes and decisions of co-workers influenced dietary intake. |
| Kniffin, Wansink, 2015 | USA, specific sample size and participant sex not provided | Qualitative, cross-sectional | Shiftwork (specific shift type(s) not provided) | Firefighting | Semi-structured group interviews | Participants reported a strong tradition of eating and cooking together. A significant correlation was found between work-group performances and eating. |
| Persson and Mårtensson, 2006 | Sweden, 27 males and females | Qualitative, cross-sectional | Fixed nightshift | Healthcare | Interviews analysed with the critical incident technique | Work related factors (eg influence of colleagues) influence the decision to eat on shift. |
| Phiri, Draper, 2014 | South Africa, 102 participants (participant sex not provided) | Qualitative, cross-sectional | Fixed nightshift, dayshift and non-shiftworkers | Healthcare | Focus group | Some nurses suggested that the food choices of colleagues influenced their food choice, both positively and negatively. |
| Strickland, Eyler, 2015 | USA, 102 males and females | Qualitative, cross-sectional | Shiftwork (specific shift type(s) not provided) | Healthcare and retail | Focus group | Nearly all participants reported that their healthy eating would improve with social support and accountability to colleagues. |
| Torquati, Kolbe-Alexander, 2016 | Australia, 17 males and females | Qualitative, cross-sectional | Shiftwork (specific shift type(s) not provided) | Healthcare | Focus groups | Stress eating was commonly reported by nurses and related to emotional eating and craving high-fat, high-sugar foods. Nurses could limit the intake of unhealthy snacks during the nightshift if there was a group commitment to this goal. Snacks were eaten continuously during the nightshift to help nurses stay awake. |
| Wandel and Roos, 2005 | Norway, 46 males | Qualitative, cross-sectional | Shiftwork (specific shift type(s) not provided) | Carpenter, engineering and transport | Interviews | Eating on shift was considered a social occasion to meet colleagues, get to know each other and have work-related discussions. Drivers also had cafeterias that were frequently visited and would meet up with colleagues there. |
| 4.3 Health | ||||||
| Anstey, Tweedie, 2016 | Australia, 15 males and females | Qualitative, cross-sectional | Rotating | Healthcare (paramedics) | Interviews | Paramedics reported concern that not eating for an extended period on shift could be potentially unsafe and detrimental to their health. |
| Bonnell, Huggins, 2017 | Australia, 42 males and females | Mixed method, cross-sectional | Rotating | Firefighting | Focus groups and 24 h dietary recalls | Knowledge of the relationship between food and health impacted dietary intake. |
| Naweed, Chapman, 2017 | Australia, 29 males and females | Qualitative, cross-sectional | Shiftwork (specific shift type(s) not provided) | Train drivers | Focus group | Participants reported experiencing negative and judgemental reactions from fellow drivers when they discussed healthier eating habits. |
| Nyberg and Lennernäs Wiklund, 2017 | Denmark and Sweden, 20 males and females | Qualitative, cross-sectional | Short- and long-haul flights | Aviation (flight attendants) | Interviews | Flight attendants reported eating less during a flight in order to stay fit. |
| Phiri, Draper, 2014 | South Africa, 102 participants (participant sex not provided) | Qualitative, cross-sectional | Fixed nightshift, dayshift and non-shiftworkers | Healthcare | Focus group | Nightshift workers reported a balanced diet as a main aspect of staying healthy, including eating breakfast in the morning. |
| 4.4 Alertness | ||||||
| Baba, Darina Indah Daruis, 2011 | Malaysia, 117 males | Quantitative, cross-sectional | Shiftwork (specific shift type(s) not provided) | Aviation | Questionnaire | Before and during a flight, nutritious food is considered a strategy used to overcome fatigue. |
| Gifkins, Johnston, 2018 | 21 females | Qualitative, cross-sectional | Shiftwork (specific shift type(s) not provided) | Healthcare | Interviews | Healthy eating was a self-care activity reported by participants to prepare for a shift. |
| Haus, Reinberg, 2016 | France | 7 males (5 rotating shiftworkers, 2 non-shiftworkers) | Oil refinery | Food diary | Work during the nightshift was considered so boring that snacks such as biscuits, candy bars, seeds, sweets and sandwiches were consumed to stay awake. | |
| Kräuchi, Nussbaum, 1990 | Switzerland, 28 males and females | Quantitative, cross-sectional | Nightshift | Healthcare | Daily food and drink frequency questionnaire | An increase of sweet foods on shift was associated with less self-reported fatigue. |
| Nea, Pourshahidi, 2017 | Ireland, 109 males and females | Qualitative, cross-sectional | Rotating, fixed day shift, fixed nightshift | Accommodation and food services, health and social care sector, manufacturing/industry sector | Focus groups | Tiredness was reported as a barrier to healthy eating, as it lead to a lack of motivation and will-power. |
| Novak and Auvil-Novak, 1996 | USA, 45 females | Qualitative, cross-sectional | Shiftwork (specific shift type(s) not provided) | Healthcare | Focus group | Nurses reported refraining from eating during the 12 h work period to reduce drowsiness. |
| Zadeh, Shepley, 2017 | USA, 136 males and females | Mixed-methods cross-sectional | Shiftwork (specific shift type(s) not provided) | Healthcare | Questionnaire including questions on identifying aids to improve alertness and reduce sleepiness on shift | Dietary strategies were reported as the greatest behavioural tactic used to maintain alertness and reduce sleepiness. |
| 4.5 Gastric upset | ||||||
| Novak and Auvil-Novak, 1996 | USA, 45 females | Qualitative, cross-sectional | Shiftwork (specific shift type(s) not provided) | Healthcare | Focus group | Many nurses reported putting on wright after eating meals and snacks during nightshifts. |
| Nyberg and Lennernäs Wiklund, 2017 | Denmark and Sweden, 20 males and females | Qualitative, cross-sectional | Short- and long-haul flights | Aviation (flight attendants) | Interviews | Some flight attendants described eating during the nightshift as leading to stomach aches. |
| Persson and Mårtensson, 2006 | Sweden, 27 males and females | Qualitative, cross-sectional | Fixed nightshift | Healthcare | Interviews analysed with the critical incident technique | Nurses reported maintaining a healthy diet to aid digestion. |
| 4.6 Stress eating | ||||||
| Almajwal, 2016 | Central Saudi Arabia, 365 females | Quantitative, cross-sectional | Fixed shift and non-shiftworkers | Healthcare | Questionnaire | Nurses with high stress had more eating problems. Those working nightshifts were more likely to experience restrained eating (which, under stress, is associated with eating more than usual and binge eating) . |
| Han, Choi-Kwon, 2016 | Korea, 240 females | Quantitative, cross-sectional | Rotating and fixed | Healthcare | Questionnaire | Nurses with greater food intake than normal while under stress were more frequently found among those with rotating shifts compared to fixed shift nurses. Only 11% of nurses reported no overeating. |
| Jordan, Khubchandani, 2016 | USA, 120 males and females | Quantitative, cross-sectional | Fixed day and nightshift | Healthcare | Questionnaire | 70% of nurses reported a greater consumption of junk food and 63% reported consuming more food than normal as a way of coping with work-place stress. |
| Monaghan, Dinour, 2018 | USA, 20 females | Qualitative, cross-sectional | Rotating, fixed day shift, fixed nightshift | Healthcare | Interviews | Unhealthy foods, such as cookies and brownies, were often eaten during stressful shifts. |
| Sahu and Dey, 2011 | India, 75 participants (sex of participants not provided) | Quantitative, cross-sectional | Rotating | Healthcare | Questionnaire on shiftwork, digestive problems, food habits, food intake, ratings of eating satisfaction and appetite, and diet surveys | The appetite and satisfaction of workers was lower after eating during the nightshift than after morning or afternoon shifts. |
| Silva, Lopes, 2017 | Brazil, 34 males | Quantitative, cross-sectional | Fixed nightshift | Security | 6-d food diary and a questionnaire evaluating perceptions related to meals | After a nightshift, participants enjoyed eating breakfast, lunch and dinner less than after a night of sleep. |
| Wong, Wong, 2010 | Hong Kong, 378 males and females | Quantitative, cross-sectional | Fixed shifts and non-shiftwork | Healthcare | Questionnaire | The majority of nurses had abnormal eating scores. Shift duties at least 4 times per month were associated with abnormal emotional eating behaviour. |
| 4.7 Shiftwork experience | ||||||
| Gifkins, Johnston, 2018 | 21 females | Qualitative, cross-sectional | Shiftwork (specific shift type(s) not provided) | Healthcare | Interviews | The more experienced workers ensured the less experienced nurses took breaks and had time to eat. |
| Morikawa, Miura, 2008 | Japan, 2,254 males | Quantitative, cross-sectional | Rotating | Factory workers | Questionnaire | 20–29 year olds, intakes of meat and vegetables were the lowest in shiftworkers with midnight shifts and among 40–49 year olds, intake of meat, fat and oil were lowest in shiftworkers with midnight shifts. |
| Mota, De-Souza, 2013 | Brazil, 72 males and females | Quantitative, longitudinal | Shiftwork (specific shift type(s) not provided) | Healthcare | Dietary recall | 80.5% of residents reported negative changes in eating habits after beginning their residency. |
The table is organised by factor.
Studies may appear multiple times in the table as the findings address more than one factor.
Fig. 2.The four themes (When, What, Where and Why) of this literature review, and the factors identified from the literature that influence each theme. Bubbles are sized according to the number of articles mentioning this factor in each theme, with a larger bubble representing a larger percentage of articles on this factor, as a percentage of total articles in the theme. Within each theme, articles may fit into more than one factor.