Abeer Bahathig1,2 and Hazizi Abu Saad1
1Department of Nutrition, Faculty of Medicine and Health Sciences, Universiti Putra Malaysia, Selangor, Malaysia.
2Department of Nutrition & Food Science, College of Home Economics, Northern Border University, Arar, Saudi Arabia (Correspondence to Hazizi Abu Saad:
Abstract
Background: Lifestyle changes in Saudi Arabia have affected the dietary intake of adolescents: they now consume more unhealthy foods.
Aim: We used a randomized controlled trial to assess the dietary intake of Saudi Arabian female adolescents living in Arar.
Method: In this randomised cluster study, female students were selected randomly from assigned schools to form the intervention group (n = 68) and control group (n = 70). Initially, a 60-minute seminar was held for the intervention group mothers. Six 90-minute sessions were arranged for the intervention group on topics such as food groups, healthy and unhealthy eating, body image and physical activity were delivered over 3 months. The data were analysed using generalized estimating equations.
Results: The interaction effect (group by time) between the groups revealed statistically significant differences for dairy products (P < 0.001), sweetened beverages (P < 0.001), sweetened baked goods (P = 0.022) and fruits and vegetables (P < 0.003). The intervention significantly increased the intake of dairy products (P < 0.001) and fruits and vegetables (P = 0.003), and reduced that of sweetened beverages (P < 0.001) and sweetened baked goods (P = 0.010) in the intervention group.
Conclusion: This intervention exerted a greater positive effect on the intervention group than the control group regarding dairy products, sweetened beverages and fruits and vegetables. No significant difference was found in intake of energy and macronutrients between the groups (P > 0.05).
Keywords: nutrition intervention, dietary intake, fruits and vegetables, school students
Citation: Bahathig AA, Abu Saad H. A randomized controlled trial on the dietary intake of Saudi Arabian female adolescents living in Arar. East Mediterr Health J. 2020;26(x):xxx–xxx. https://doi.org/10.26719/emhj.XXXX Received: 04/09/2022; accepted: 22/12/2022
Copyright © Authors 2023; Licensee: World Health Organization. EMHJ is an open access journal. This paper is available under the Creative Commons Attribution Non-Commercial ShareAlike 3.0 IGO licence (CC BY-NC-SA 3.0 IGO; https://creativecommons.org/licenses/by-nc-sa/3.0/igo).
Introduction
A healthy diet, i.e. not consuming large quantities of sugar, salt and fat, can protect the body from obesity, heart disease, diabetes and cancer (1,2). Adolescents need to consume adequate amounts of nutrients for growth, and the recommended daily intake of essential vitamins and minerals can be met if healthy foods, e.g. fruits and vegetables, are consumed daily (3).
The World Health Organization (WHO) recommends a daily diet comprising a variety of food groups (2), but adolescents from the Eastern Mediterranean region do not follow these recommendations and consume large amounts of fats (including saturated fats) and sugary drinks, and few vegetables, fruits and other high-fibre foods (4). Altogether, 25% of Saudi adolescents and adults eat french fries at least 3 times week, and more than 50% consume chocolates and sweets (5). It has been reported that Saudi Arabian adolescents aged 12–16 years consume sugary foods at a rate of 11.7 (standard deviation 2.2) (6). The Healthy Food Palm was developed around Saudi culture and eating habits, and emphasizes consumption based on food groups with the aim of enhancing nutrient adequacy and improving health (7). Nevertheless, a 2021 cross-sectional study on students from Al-Ahsa, Saudi Arabia, reported that 49.5% of normal weight and 100% of obese participants drank soft drinks daily (8).
Many Saudi Arabians do not follow Ministry of Health guidelines strictly: around 48% of adolescents need nutrition counselling to establish healthy eating behaviours (9). Nutrition education at an early age can influence the adoption of healthy eating habits before the development of unhealthy habits, and those with healthy habits are more likely to maintain these over time (10). Theory-based nutrition intervention emphasising the provision of information and learning skills to practise new behaviours can be effective for dietary change (11). A 2021 randomized cluster trial in India significantly changed dietary practices (P = 0.030) and consumption of junk food (P = 0.003) among adolescents (12). School students in Lebanon significantly increased their intake of fruits and vegetables and reduced their consumption of crisps after a 3-month nutritional intervention compared with the control group (P < 0.050) (13). In a Saudi Arabian study, adolescents in the intervention group showed greater changes in their consumption of healthy (vegetables and fruits) and unhealthy (desserts and snacks) foods compared with the control group after a 9-week school-based nutrition intervention (14).
Our study was conducted to assess dietary intake of Saudi Arabian female adolescents living in Arar.
Methods
Design
This single blinded randomized cluster study was conducted (January–June 2020) among females from 2 government intermediate schools. Healthy Saudi Arabian female adolescents aged 13–14 years agreed to participate in the study with the consent of either parent. Adolescents who had disabilities or noncommunicable diseases were excluded.
Rosner’s formula was used to determine the sample size according to the mean difference scores for nutritional knowledge in both groups (15,16). A minimum of 68 participants was required for each group, with 15% added to cover dropouts (17). Therefore, a total of 160 participants was required, i.e. 80 participants per group. The selection and assignments of the participants were implemented randomly using Excel software. We selected 40 participants aged 13 years and 40 aged 14 years for each group. The intervention aims and procedures were explained to the participants and their parents before consent forms were collected.
Ethical approval
Before this intervention study began, we received approval from the ethics committee for research involving human subjects, Selangor, Malaysia JKEUPM (Reference No: UPM/TNCPI/RMC/JKEUPM/1.4.18.2), and the local committee on bioethics (Reference No. 13/40/H; HAP-09-A-043), and the Ministry of Education in Arar City, Saudi Arabia.
Nutrition intervention on dietary intake
This school-based nutrition intervention was developed for females aged 13–14 years, focussing on knowledge and skills based on social cognitive theory to improve the dietary intake behaviours of adolescents (18). Initially, the first researcher conducted a 60-minute seminar for the mothers of the intervention group at the school to encourage their adolescents to eat healthily, be happy with their body image and get 60 minutes of physical activity daily. For the adolescents in the intervention group, 6 interactive 90-minute sessions, 5 of which specifically focussed on nutrition, were delivered fortnightly for 3 months during school hours. Figure 1 showed the methodology flowchart for the nutrition intervention.
The intervention participants were divided into 2 groups based on classroom size. Topics covered the importance of eating healthily and following the Saudi food guide pyramid regarding weight status, food groups, serving size and variety, macronutrients, consuming main meals on time daily, reading food labels, the drawbacks of consuming unhealthy foods (i.e. those high in sugar, fat and salt, such as fast food, soft drinks and other sweetened beverages), type 2 diabetes and obesity, the importance of positive body image and physical activity.
The sessions comprised 2 parts, one on knowledge and the other on activities that apply the knowledge. Booklets, PowerPoint presentations, whiteboards, group discussions, flashcards and games were used, with awards given out to both groups during data collection. The control group received the traditional education, but was provided with the intervention materials upon the completion of the study. All educational sessions were developed based on the preliminary study; guidance from nutrition experts at the Nutrition and Food Sciences, Medicine and Applied Medical Sciences Departments in Arar; and previous studies (14,16,19–21). The intervention was pilot tested before implementation of the actual intervention to ensure accuracy and appropriateness.
A total of 3 face-to-face survey questionnaires were completed to collect data:
• at baseline,
• immediately after the 3-months intervention ended,
• at the 3-month post-intervention follow up.
Participants and their parents signed consent forms before data collection. The questionnaire covered sociodemographic characteristics (participants’ age, parents’ education level, number in household, number of siblings, monthly income, etc.) and dietary intake.
Food intake
The average scores for consumption of food groups, macronutrients and dietary energy were obtained through a semi-quantitative food frequency questionnaire and 24-hour recall for 3 days using the ProDiet Analysis, version 6 (Axxya Systems; Redmond, Washington (https://nexgen1.nutritionistpro.com/shop/product-detail/nutritionist-pro-diet-analysis-software-13. New Saudi Arabian food recipes were added to the US Department of Agriculture’s database, which was used in the study (22). Estimated food intake was derived from frequency of consumption for the food groups, nutrients and energy intake using a conversion factor (23):
amount of food consumed (g/day) = frequency of intake × serving size × total number of servings × weight of food in one serving (24).
High-frequency consumption would be once or more a week, and low frequency would be less than once (25). If consumption frequency was high, the score should be ≥ 0.5 (26).
Food habits
Almajwal et al. developed a semi-quantitative food frequency questionnaire covering 74 food items for the Saudi Arabian adolescent population (27). The average agreement for food groups was 70.9%, with 70.1% for nutrients. It was categorized as times/day (1, 2–3, 4–5 and 6–7), times/week (1–2, 3–4 and 5–6), times/month (1 and 2–3) and never. The food group components comprised cereals and grains (7 items, e.g. popcorn and bread); meat products (11 items, e.g. eggs, fish and chicken); mixed dishes (12 items, e.g. chicken burger and pizza); dairy products (6 items, e.g. full fat yoghurt and cream cheese); sweetened beverages (9 items, e.g. concentrated orange juice and grape juice); sweet and baked goods (13 items, e.g. honey and cake); and fruits and vegetables (16 items, e.g. dates and tomato) (27). Each participant was asked to report on their food consumption in terms of amount and serving size.
24-hour diet recall
To gather more information, 24-hour diet recalls were performed 3 times during the previous week: 2 on weekdays and one at the weekend. Each participant’s food and drink activity was collected to assess energy and macronutrient intake, taking into account time of intake and how food was prepared.
Statistical analyses
We analysed the data using SPSS; P-value was < 0.05. The Mann–Whitney U-test and the chi-squared test were used to ensure the demographic homogeneity of the variables within and between groups at baseline. The data were not normally distributed and we used a randomized cluster design, so the generalized estimating equations test was used to compare mean scores for the food group, energy and macronutrient intakes within and between groups using an autoregressive correlation structure. The group by time effect interaction was applied to determine the effectiveness of the nutrition intervention on dietary intake at 3 different times.
Results
Sociodemographic characteristics
Dropout rates of 5.3% (n = 4) and 6.5% (n = 5) were registered immediately, and 10.6% (n = 8) and 10.3% (n = 8) at follow-up for the intervention group and control group respectively. Various reasons were cited, e.g. too busy, left the area, or could not complete the 3+ sessions. Ultimately, 89.4% (n = 68) of the intervention group and 89.7% (n = 70) of the control group finished the study.
Comparing sociodemographic variables between the 2 groups, significant differences were found only for monthly income (P = 0.005) and number of siblings (P = 0.045), which were viewed as covariates. No significant differences were found for age, parents’ education level and number (of inhabitants) per household, i.e. family size (P > 0.050).
The effectiveness of the nutrition intervention on intake frequency of food groups, energy and macronutrients
A generalized estimating equations test was conducted to gauge intake frequency of the 7 food groups, energy and macronutrients. Significant differences were found in the mean scores at baseline between the groups for cereals and grains; fish, poultry and red meat; and sweetened beverages. Thus, these variables were viewed as covariates during the analysis. Table 1 shows the intake frequencies of both groups for the food groups, energy and macronutrients.
When the baseline score for intake of cereals and grains was excluded, the effect on the groups was statistically significant (P < 0.001), whereas no significant effect was reported for intake of cereals and grains (P = 0.370). The interaction time (group by time) effect was statistically significant for intake of dairy products (P < 0.001), sweetened beverages (P < 0.001), sweetened baked goods (P = 0.022) and fruits and vegetables (P = 0.003), indicating that the intervention group and the control group did not experience the same trend over the 3-month study period. We observed no statistically significant improvement in the consumption of fish, poultry and meat (P = 0.625) and mixed dishes (P = 0.174), i.e. both groups shared the same pattern for these over the study period. Intake of cereals and grains, dairy products and fruits and vegetables increased while intake of sweetened beverages and sweetened baked goods decreased. For intake frequencies for energy and macronutrients, the interaction time (group by time) effect on total dietary energy was not statistically significant (P = 0.210) (Table 2). Thus, both groups demonstrated the same pattern. The interaction time (group by time) effect was not significant for carbohydrates (P = 0.382), protein (P = 0.361) and fat (P = 0.452) during the study period.
The Bonferroni post hoc test was conducted on both groups of participants to determine their differences in intake frequencies for food groups, energy and macronutrients over time (Table 3). The results indicated significant differences in intake frequencies for dairy products (P < 0.001), sweetened beverages (P < 0.001), sweetened baked goods (P 0.050), in which the time effect was classed as small (d < 0.50). Moreover, no significant differences were found between the intervention and control groups throughout the study period for total intake of energy and macronutrients from the diet (P = 1.000) except for dietary energy at baseline and immediately after the intervention in the control group. The time effect was small for energy and macronutrient intake (d < 0.50) between the groups during the study period.
Statistically significant changes were found between the groups during the follow-up tests in regard to the intake frequencies of dairy products, sweetened beverages and fruits and vegetables (P 0.050). Intake frequency for cereals and grains for both groups was significant at baseline and immediately after the intervention (P 0.050) over time. The effect size between the intervention group and control group during the study period was small for intake of dietary energy and macronutrients (d < 0.50) (Table 4).
Discussion
Dietary patterns are shifting with increasing urbanization, lifestyle changes and increased production of processed foods with people currently consuming greater quantities of sodium, sugar, fat and salt. Consumption of cooking oil and salt is now double the recommended daily intake. However, many people consume inadequate amounts of fibre, fruits and vegetables (1). This unhealthy eating behaviour can lead to noncommunicable diseases and obesity (2). A seminar was held for mothers to encourage their daughters to replace their intake of unhealthy food with healthy food. The sessions on nutrition information and healthy activities, which were held for the intervention group, were effective in eliciting positive improvements regarding intake of the food groups except for intake of cereals and grains; fish, poultry and red meat; and mixed dishes. This might indicate that more information should be provided to adolescents about these food groups.
Saha et al. reported that after 6 nutritional sessions, students increased their intake of fruits and vegetables immediately (P < 0.001) (18). The outcomes matched those of Salem and Said, who included nutritional sessions (29). Girls ages 12–15 increased their consumption of healthy food, particularly fruits and vegetables (P < 0.001). The reduced consumption of salt, sugar, unhealthy drinks and foods was maintained (P < 0.001). Similarly, in a study on Syrian refugees in Lebanon, an increase in healthy food consumption was found among adolescents in the intervention group (e.g. fruits and vegetables) along with a reduction in intake of unhealthy food (e.g. sweets and fast food) immediately after a 3-month intervention (16). Previously, intervention group participants might have increased their dietary intake due to improved knowledge. Thus, the components and instruments were appropriate for the participants to achieve their targeted goals (30).
Fetohy et al. (31) conducted 3 sessions among Saudi Arabian intermediate and secondary students, who subsequently increased their daily consumption of fresh food (P = 0.050) and whole grains (P = 0.020) and avoided fatty meals (P = 0.030). However, our participants did not demonstrate any significant changes in their intake of cereals and grains. Previous research conducted among Saudi Arabian adolescents found significant improvement in the consumption of healthy snacks and food groups as well as a reduction in the consumption of unhealthy foods, e.g. soft drinks, fast food, chocolates and other sweets (P < 0.050) (20). The participants were younger than those involved in the present intervention, so their health concerns were less important than the older participants in the present study (32).
Our findings were attributed to the nutrition intervention offered to participants as a way to reduce unhealthy eating. Although consumption of cereals and grains; fish, poultry and red meat; and mixed dishes did not improve among intervention group participants, significant differences were found in their intake of dairy products, sweetened beverages, sweetened baked goods and fruits and vegetables based on social cognitive theory. Furthermore, this school-based intervention provided activities, e.g. planning healthy main meals based on a variety of foods and serving sizes, recognising healthy vs unhealthy foods, reading food labels (calories, carbohydrates, serving size) and discussing with the group how to replace unhealthy eating with healthy eating behaviours. These activities may have helped the present participants acquire and maintain new healthy eating behaviours. Recent research has suggested that nutrition education sessions be conducted among Saudi Arabian, Lebanese and Egyptian participants, with an emphasis on group discussions about food groups and the importance of eating healthy food (13,14,29). Information can be provided through PowerPoint presentations to encourage participants to eat healthy foods and reduce their consumption of unhealthy foods. The appropriate components, activity tools and duration of an intervention all play a vital role in its success (30).
This study had certain limitations. Only females were included because they are taught in schools separate from males in Saudi Arabia. The investigation was conducted in a single intervention school and city, thereby preventing generalization of the results to all 13- and 14-year-old Saudi Arabian females. Parental influence on changing intake frequencies for food groups among participants was not examined. This study was developed after determining the need for a nutrition education intervention among the adolescent female population.
This school-based intervention included sessions and activities that enhanced nutrition intervention and built new behaviours among participants. To avoid bias, 24-hour recall was used for the 3 days when the data were being collected.
Conclusion
This intervention was successful at increasing dietary intake of dairy products and fruits and vegetables, and reducing intake of sweetened beverages and sweetened baked goods among the intervention group participants. It is recommended that further studies apply this nutrition intervention to dietary intake among young Saudi Arabian females, both above and below age 13–14 years, after adjusting estimates to cover the entire adolescence period and to protect them from obesity and disease. The number of schools and cities in the intervention should be expanded to determine the effectiveness of this nutrition intervention among Saudi Arabian female adolescents. We recommend that parents participate in the sessions to accurately determine the effect of the intervention. Future researchers should focus more on energy and macronutrients to elicit changes among adolescents.
Funding: None.
Competing interests: None declared.
References
1. Adolescent health. Geneva: World Health Organization; 2022 (https://www.who.int/health-topics/adolescent-health#tab=tab_1, accessed 10 July 2022).
2. Healthy diet. Geneva: World Health Organization; 2020 (https://www.who.int/news-room/fact-sheets/detail/healthy-diet, accessed 25 March 2023).
3. State indicator report on fruits and vegetables. Atlanta: Centers for Disease Control and Prevention; 2018. (https://www.cdc.gov/nutrition/downloads/fruits-vegetables/2018/2018-fruit-vegetable-report-508.pdf, accessed 25 March 2023).
4. Al-Jawaldeh A, Taktouk M, Nasreddine L. Food consumption patterns and nutrient intakes of children and adolescents in the Eastern Mediterranean region: a call for policy action. Nutrients. 2020;12(11):3345. doi:10.3390/nu12113345
5. Alzamil HA, Alhakbany MA, Alfadda NA, Almusallam SM, Al-Hazzaa HM. A profile of physical activity, sedentary behaviors, sleep, and dietary habits of Saudi college female students. J Fam Community Med. 2019;26(1):1–8. doi:10.4103/jfcm.JFCM_58_18
6. Alkhaldi AK, Alshiddi H, Aljubair M, Alzahrani S, Alkhaldi A, Al-Khalifa KS, et al. Sex differences in oral health and the consumption of sugary diets in a Saudi Arabian population. Patient Prefer Adherence. 2021;15:1121–1131. doi:10.2147/PPA.S308008
7. Halawani R, Jaceldo-Siegl K, Bahjri K, Heskey C. Saudi population’s adherence to the Healthy Food Palm: a cross-sectional study. FASEB J. 2019;33(Suppl. 1):755.4. doi:10.1096/fasebj.2019.33.1_supplement.755.4
8. Jouhar R, Ahmed MA, Khurshid Z, Bokhari SAH. Association of BMI, diet, physical activity, and oral hygiene practices with DMFT index of male dental students at King Faisal University, Al-Ahsa. Nutrients 2021;13(1):224. doi:10.3390/nu13010224
9. Almuhlafi M, Jamilah KA, Almutairi AF, Salam M. Relationship between early menarche, obesity, and disordered eating behaviors: A school-based cross-sectional survey in Northern Saudi Arabia. Diabetes Metab Syndr Obes. 2018;11:743–51. doi:10.2147/DMSO.S180697
10. Contento IR. Nutrition education: linking research, theory, and practice, 3rd ed. Burlington, MA: Jones & Bartlett Learning; 2016.
11. Bandura A. Social foundations of thought and action: A social cognitive theory. Englewood Cliffs: Prentice-Hall, Inc; 1986.
12. Mahajan A, Negi PC, Gandhi S, Sharma D, Grover N. Impact of school-based health behavioral intervention on awareness, practice pattern of healthy lifestyle, and cardiometabolic risk factors among school children of Shimla: a cluster-randomized, intervention study. Indian J Pediatr. 2021; 89(4):343–350. doi:10.1007/s12098-021-03786-6
13. Habib-Mourad C, Ghandour LA, Maliha C, Awada N, Dagher M, Hwalla N. Impact of a one-year school-based teacher-implemented nutrition and physical activity intervention: main findings and future recommendations. BMC Public Health. 2020;20:256. doi:10.1186/s12889-020-8351-3
14. Hefni D. Assessing the effectiveness of an obesity-prevention intervention to improve healthy lifestyle among Saudi school girls aged 9 to 16: a feasibility study [thesis]. University of Salford, United Kingdom; 2017.
15. Rosner B. Fundamentals of biostatistics, 8th ed. Boston: Cengage Learning; 2015.
16. El Harake MD, Diab M, Kharroubi S, Hamadeh SK, Jomaa L. Impact of a pilot school-based nutrition intervention on dietary knowledge, attitudes, behavior and nutritional status of Syrian refugee children in the Bekaa, Lebanon. Nutrients. 2018;10(7):913. doi:10.3390/nu10070913
17. Cramer H, Haller H, Dobos G, Lauche R. A systematic review and meta-analysis estimating the expected dropout rates in randomized controlled trials on yoga interventions. Evid Based Complementary Altern Med. 2016;2016:1–7. doi:10.1155/2016/5859729
18. Saha S, Dawson J, Murimi M, Dodd S, Oldewage-Theron W. Effects of a nutrition education intervention on fruit and vegetable consumption-related dietary behavioural factors among elementary school children. Health Educ J. 2020;79(8):963–73. doi:10.1177/0017896920944421
19. Ahmad Bahathig A, Abu Saad H, Md Yusop NB, Mohd Shukri NH, El-Din MME. Relationship between physical activity, sedentary behavior, and anthropometric measurements among Saudi female adolescents: a cross-sectional study. Int J Environ Res Public Health. 2021;18(16):8461. doi:10.3390/ijerph18168461
20. Alamri E. Factors affecting food intake and the role of nutrition education in the understanding and implementation of healthy dietary habits in Saudi adolescent girls [thesis]. University of Plymouth, United Kingdom; 2017.
21. Sharif Ishak IZS, Chin YS, Taib MNM, Shariff ZM. School-based intervention to prevent overweight and disordered eating in secondary school Malaysian adolescents: A study protocol. BMC Public Health. 2016;16(1):1101. doi:10.1186/s12889-016-3773-7
22. Al-Feda AA. Nutritional assessment guide for the Kingdom of Saudi Arabia. Riyadh: King Fahd National Library; 2018.
23. Norimah Jr AK, Safiah M, Jamal K, Haslinda S, Zuhaida H, Rohida S, et al. Food consumption patterns: findings from the Malaysian adult nutrition survey (MANS). Malays J Nutr. 2008;14(1):25–39.
24. Wessex Institute of Public Health Medicine. Software Package for food frequency questionnaire. University of Southampton; Highfield; 1995.
25. Adams J, Goffe L, Brown T, Lake AA, Summerbell C, White M, et al. Frequency and socio-demographic correlates of eating meals out and take-away meals at home: cross-sectional analysis of the UK national diet and nutrition survey, waves 1–4 (2008–12). Int J Behav Nutr Phys Act. 2015;12:52. doi:10.1186/s12966-015-0210-8
26. Hackshaw A. A concise guide to observational studies in healthcare. London: John Wiley & Sons, Ltd; 2014.
27. Almajwal A, Abulmeaty M, Alam I, Razzak S, Alqahtani A. Development of food frequency questionnaire (FFQ) for the assessment of dietary intake among overweight and obese Saudi young children. Nutrire. 2018;43(1):29. doi:10.1186/s41110-018-0088-8
28. Cohen J. Statistical power analysis for the behavioral sciences (2nd ed.). New York: Academic Press, Inc; 2013.
29. Salem GM, Said RM. Effect of health belief model based nutrition education on dietary habits of secondary school adolescent girls in Sharkia governorate. Egypt J Commun Med. 2018;36(3):35–47.
30. Fertman CI, Allensworth DD. Health promotion programs: From theory to practice, 2nd ed. San Francisco: Jossey-Bass A Wiley Imprint; 2016.
31. Fetohy EM, Mahboub SM, Abusaleh HH. The effect of an educational intervention on knowledge, attitude and behavior about healthy dietary habits among adolescent females. J High Inst Public Health. 2020;50(2):106–12.
32. Hashemian M, Abdolkarimi M, Asadollahi Z, Nasirzadeh M. Effect of “social cognitive theory”-based intervention on promoting physical activity in female high-school students of Rafsanjan city, Iran. J Educ Community Health. 2021;8(2):111–9. doi:10.52547/jech.8.2.111