Abstract
Purpose
Few studies have assessed the relationship between meal skipping with subjective health complaints in children and adolescents. The aim of our study was to determine the association between meal skipping and subjective health complaints in this population.
Methods
A total of 14,400 students aged 7–18 years were selected using multistage stratified cluster sampling method from 30 provinces of Iran. Data were collected as a part of the fifth national school-based surveillance program (CASPIAN-V) in Iran. Information about students’ lifestyle, health behaviours, health status and health complaints were gathered through a validated questionnaire.
Results
The mean (standard deviation) age of participants was 12.3 (3.2) years old. Breakfast skipping was associated with increased odds of stomachache (OR 1.77, 95% CI 1.56, 2.00), backache (OR 1.68, 95% CI 1.46, 1.92), difficulty in getting to sleep (OR 1.66, 95% CI 1.48, 1.86), feeling nervous (OR 1.59, 95% CI 1.43, 1.76) and irritability (OR 1.29, 95% CI 1.02, 1.25). There were 27, 63, 58 and 107% increase in odds of headache, stomachache, backache and difficulty in getting to sleep by lunch skipping, respectively. While dinner skipping was related to 39, 59 and 52% increase in odds of headache, feeling low and difficulty in getting to sleep, respectively, it was associated with decreased odds of stomachache (OR 0.33, 95% CI 0.25, 0.44).
Conclusions
Our study suggests that meal skipping is associated with some somatic and psychological health complaints among children; therefore, regular meal consumption, at least three times a day, is highly recommended in this population.
Level of evidence
V, cross-sectional descriptive study.
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Introduction
The Health Behaviour in School-aged Children (HBSC) study was an international survey on adolescent health. The main aim of this study was, understanding smoking behaviours in adolescents in three countries, which soon were expanded to determine adolescents’ health and health behaviours in 47 countries [1]. Subjective Health Complaints (SHC) involve the physical, emotional, mental, social and behavioural components of well-being, and functioning as perceived by the individual [2,3,4]. A research study in 19 countries in Europe and in the USA revealed that health complaints such as: headache, stomachache, difficulties in getting to sleep, and nervousness were common among adolescents [5]. It has been shown that 44% of school children have multiple recurrent health complaints in 41 European and North-American countries [6]. SHC without objective signs or symptoms can play an important role in short term sickness absence in adolescents. Almost half of the days lost due to sickness absence are due to diagnoses that mostly depend on subjective statements from the patient [7].
Meal skipping is more evident among young adults and adolescents who frequently fail to consume regular meals [8]. A meta-analysis of 24 studies conducted in Iran revealed that the prevalence of breakfast skipping was 21%; with higher percentage for girls compared to boys (26 vs 18%) [9]. The prevalence of breakfast, lunch and dinner skipping in Iranian adolescents were reported to be 32.1, 8.9 and 10.9%, respectively [10]. These unhealthy dietary behaviours may play a role in increasing future risk of chronic diseases [11]. It has been demonstrated that habits pertaining to breakfast consumption are significantly associated with all health status dimensions (physiological, psychological and social) [12]. A population-based study in Italy showed a positive association between headache and meal skipping especially irregular intake of breakfast [13].
Although previous studies have shown an association between breakfast skipping and some physical and/or psychological complaints, none to our knowledge have examined the possible influence of meal frequency on the cluster of somatic and psychological complaints, therefore, the purpose of this study is to investigate the association between meal skipping and subjective health complaints in children and adolescents in Iran.
Materials and methods
Study design and participants
The data of this cross-sectional study were collected as a part of the “National survey of school student high risk behaviours” (2014–2015), the fifth survey of Childhood and Adolescence Surveillance and Prevention of Adult Noncommunicable disease (CASPIAN)-V study. Details of protocol of the study have been described elsewhere [14]. Briefly, the study population was students aged 7–18 years in primary and secondary schools in urban and rural areas of Iran. A total of 14,400 students were selected using multistage, stratified cluster sampling method from 30 provinces nationwide. The main aim of this national school-based study was identification of health risk behaviours and risk factors of chronic diseases. The students’ questionnaire was derived from the World Health Organization-Global School Student Health Survey (WHO-GSHS) [15]. The validity and reliability of Farsi-translated questionnaire was assessed previously. Cronbach’s alpha coefficient of this questionnaire was 0.97, and the Pearson’s correlation coefficient of the test–retest phase was 0.94 [16]. Eligible students, who had Iranian nationality, did not have any chronic conditions and did not use any medication, were identified and interviewed. The provided information was about their lifestyle, health status, health-related behaviours and health complaints.
Study protocols were approved by the Ethics committee of Isfahan University of Medical Sciences, Project number: 194049. After complete explanation of the study objectives and protocols, written and verbal informed consent was obtained from the parents and students, respectively.
Dietary assessment
Students were asked if they eat breakfast, lunch and dinner during a week and weekends. To assess weekday breakfast, lunch and dinner consumption; adolescents were asked to indicate how many days in a week they had three main meals (defined as ‘more than a glass of milk or fruit juice’ and a snack like a biscuit). There were eight response categories: ‘never’, ‘1 day’, ‘2 days’, ‘3 days’, ‘4 days’ and ‘5 days’, ‘6 days’ and ‘7 days’. The responses were dichotomized into ‘three-meal consumption more than 5 days a week’ versus ‘less than four times a week’ which the latter was considered as “meal skipper”. This cut-off point was chosen according to statistical analysis when subjects used less than 50% of median.
Anthropometric and physical activity measures
A team of trained health care experts implemented the physical examinations under standard protocols using calibrated instruments [16, 17].
To assess screen time, the students were asked to report the average number of hours per day spent watching TV, playing video or PC games on week days and at weekends. Then, the total cumulative time spent on screen time was estimated and categorized into two groups of low screen time (less than 2 h a day) and high screen time (equal or more than 2 h a day) [18, 19]. We used the physical activity questionnaire for adolescents (PAQ-A) to assess their physical activity levels. The 7-day physical activity recalls were collected through a self-administrated questionnaire [20, 21]. The validity and reliability of this questionnaire were assessed in Iranian population. Cronbach’s alpha coefficient of the whole questionnaire was 0.97, and the Pearson’s correlation coefficient of the test–retest phase was 0.94 [22].
Subjective health complaints (SHC)
Data were collected using a self-completion questionnaire, administered by public health experts, which was designed as part of the WHO–HBSC study involving researchers from all countries. SHC were assessed by asking children to report the frequency, in the 6 months before the survey, of experiencing a variety of psychological (feeling low, irritability, feeling nervous, difficulty in getting to sleep) and somatic symptoms (headache, stomach ache, backache, feeling dizzy). Items within the scale have shown an adequate content validity and reliability. Response options for each items were ‘about every day’, ‘more than once a week’, ‘about every week’, ‘about every month’ and ‘rarely or never’. They were dichotomized as “weekly or more” versus “rarely or never” [23].
Statistical analysis
Categorical and continuous variables were expressed as number (percentage) and mean (standard deviation), respectively. Characteristics of participants according to their age groups were demonstrated using Pearson’s Chi-square test. Prevalence of reporting SHC in relation to meal skipping was also shown using Pearson’s Chi-square test. We used Benjamini–Hochberg procedure to get adjusted P value correcting for bias inherent in multiple-comparison testing [24].
We assessed the relationship between meal skipping and SHC using three separate logistic regression models. Covariates such as age, sex, socioeconomic status (SES), regions, physical activity, and screen time were adjusted in these models. Statistical analysis was performed using STATA software version 11. P value less than 0.05 was considered as statistically significant.
Results
Overall, 14,274 students (out of 14,440) completed the survey (participation rate: 99%). Fifty-one percent of adolescents aged 7–12 was girl, while 52.2% of adolescents aged 13–18 was boy. The mean age of participants was 12.5 years. 78.8% of adolescents aged 13–18 lived in urban areas. 85.1% of participants aged 7–12 had less than 2 h of screen time. Breakfast skipping was more prevalent in those aged 13–18 (P = 0.05). While, lunch and dinner skipping were 5.9 and 6.6% in 7–12 years old (P < 0.0001), respectively. SHC were prevalent in adolescents aged 13–18 (P < 0.0001) (Table 1).
Table 2 shows that the prevalence of headache and difficulties in getting to sleep was significantly higher among those who skipped three main meals. In addition, the prevalence of experiencing all psychological complaints was higher among dinner skippers (P < 0.0001).
Table 3 indicates that breakfast skipping was associated with increased odds of stomachache (OR 1.77, 95% CI 1.56, 2.00), backache (OR 1.68, 95% CI 1.46, 1.92), difficulty in getting to sleep (OR 1.66, 95% CI 1.48, 1.86), feeling nervous (OR 1.59, 95% CI 1.43, 1.76) and irritability (OR 1.29, 95% CI 1.02, 1.25). There were 27, 63, 58 and 107% increase in odds of headache, stomachache, backache, and difficulty in getting to sleep by skipping lunch, respectively. While skipping dinner was related to increased odds of headache (OR 2.398, 95% CI 2.08, 2.77), feeling low (OR 2.59, 95% CI 2.19, 3.06) and difficulty in getting to sleep (OR 1.52, 95% CI 1.30, 1.18), it was associated with decreased odds of stomachache (OR 0.33, 95% CI 0.25, 0.44) and feeling dizzy (OR 0.52, 95% CI 0.38, 0.72), respectively.
Discussion
To the best of our knowledge the current study is the first national study in developing countries that has investigated the association of meal skipping with SHC. It is worth noting that this population-based study conducted among 14,400 students aged 7–18 years from 30 provinces of Iran.
The Iranian eating habits (in terms of meal sizes and timing) would be generally close to Mediterranean; a standard simple breakfast, a large lunch and a light dinner with desserts or fruits as snack or before bed. Although, dietary habits of different parts of Iran are quite varied, studies have shown that middle school Iranian students are more likely to consume animal fat diet characterized by high intake of whole fat dairy products, animal fat, and organ meat, while high school students compared to middle school students have a strong interest toward lower fat intake, especially saturated fat, and higher consumption of vegetables and fruits [25].
Findings of our study indicate that irregular breakfast, lunch and dinner eating is associated with myriad psychological and somatic symptoms. Studies have shown that consuming three meals a day plays a significant role in providing daily nutrient recommendation for macronutrients and micronutrients and skipping meals can deprive our body from the main source of nutrients [26] and subsequently leads in experiencing adverse health outcomes [27].
In the current study, skipping breakfast was related to psychological symptoms which is in line with a study carried out in Japan. In this study, skipping breakfast was associated with poor feeling and overall health in children [28]. A research study conducted in Iran revealed that adolescents who followed meal skipping eating pattern were more likely to experience emotional disorders [29]. A national survey in Taiwan also demonstrated that breakfast skipping was linked to lower score in mental health, emotional role, social functioning and general health perception domain scores [30]. The KNHANES, a population based study in 2010–2012 showed that breakfast and dinner skippers had more physical and mental problems such as stress perception and irregular menstruation [31].
The association between meal skipping and some somatic symptoms like stomachache, reflux [32] and, the most prevalent complaints, headache has been reported [33]. Our findings confirmed the results of previous studies in Italy, which showed a positive association between headache and meal skipping [13]. One of the possible mechanism for this finding could be hypoglycemia [34]. In the current study skipping meals was related to backache and stomachache, however, skipping dinner was a protective factor for stomachache. It has been documented that irregular meal timing is correlated with increased acidity, gastric reflux, and eventually stomachache [35]. Regarding the protective effects of dinner on stomachache, it is possible that children consume a heavy meal at dinner or there might be short dinner-to-bed time which is associated with gastro-esophageal reflux and other related symptoms [36].
One of the main limitations of our study is the cross-sectional design by which causality cannot be inferred. Although, the quality of meals is an important component in the complex interaction between lifestyle factors and overall health in early adolescence, we focused on the association of meal frequency with SHC and did not assess the quality of meals, therefore, we believe that this should be investigated through further research studies. Another limitation of current study was lack of knowledge about nutritional status of our subjects, hence we could not show the effects of this factor on SHC.
The main advantages of our study are its large sample size at national level, which ensures the representativeness of our participants and providing the possibility of generalizing our findings to other similar populations and a high-quality control of data collection.
In conclusion, meal skipping is related to SHC in Iranian children and adolescents. Therefore, promoting regular meal timing as consuming three meals a day should be highly encouraged in this population.
References
Roberts C, Freeman J, Samdal O et al (2009) The Health Behaviour in School-aged Children (HBSC) study: methodological developments and current tensions. Int J Public Health 54(Suppl 2):140–150. https://doi.org/10.1007/s00038-009-5405-9
Bullinger M (2002) Assessing health related quality of life in medicine. An overview over concepts, methods and applications in international research. Restor Neurol Neurosci 20:93–101. https://content.iospress.com/articles/restorative-neurology-and-neuroscience/rnn00198. Accessed Dec 2017
Eriksen HR, Ihlebaek C (2002) Subjective health complaints. Scand J Psychol 43(2):101–103. https://doi.org/10.1111/1467-9450.00274
Taillefer MC, Dupuis G, Roberge MA et al (2003) Health-related quality of life models: systemic review of the literature. Sol Indic Res 64:293–323. https://doi.org/10.1023/A:1024740307643
Gobina I, Valmaa R, Tynjala J et al (2011) The medicine use and corresponding subjective health complaints among adolescents, a cross-national survey. Pharmacoepidemiol Drug Saf 20(4):424–431. https://doi.org/10.1002/pds.2102
Ravens-Sieberer U, Torsheim T, Hetland J et al (2009) Subjective health, symptom load and quality of life of children and adolescents in Europe. Int J Public Health 54:151–159. https://doi.org/10.1007/s00038-009-5406-8
Roelen CA, Koopmans PC, Groothoff JW (2010) Subjective health complaints in relation to sickness absence. Work 37(1):15–21. https://doi.org/10.3233/WOR-2010-1052
Pendergast FJ, Livingstone KM, Worsley A et al (2016) Correlates of meal skipping in young adults: a systematic review. Int J Behav Nut Phys Act 13:125. https://doi.org/10.1186/s12966-016-0451-1
Ghafari M, Doosti-Irani A, Amiri M et al (2017) Prevalence of the skipping breakfast among the Iranian students: a review article. Iran J Public Health 46(7):882–929. http://ijph.tums.ac.ir/index.php/ijph/article/view/10385/5789. Accessed Nov 2017
Kelishadi R, Mozafarian N, Qorbani M et al (2017) Is snack consumption associated with meal skipping in children and adolescents? The CASPIAN IV study. Eat Weight Disord 22(2):321–328. https://doi.org/10.1007/s40519-017-0370-4
Zilberter T, Zilberter EY (2014) Breakfast: to skip or not to skip. Front Public Health 2:59. https://doi.org/10.3389/fpubh.2014.00059
Chen J, Cheng J, Liu Y et al (2014) Association between breakfast eating habits and health-promoting lifestyle, suboptimal health status in Southern China: a population based, cross sectional study. J Transl Med 12:348. https://doi.org/10.1186/s12967-014-0348-1
Moschiano F, Messina P, D’Amico D et al (2012) Headache, eating and sleeping behaviors and lifestyle factors in preadolescents and adolescents: preliminary results from an Italian population study. Neurol Sci 33:87–90. https://doi.org/10.1007/s10072-012-1048-3
Motlagh ME, Ziaodini H, Qorbani M et al (2017) Methodology and early findings of the fifth survey of childhood and adolescence surveillance and prevention of adult noncommunicable disease: the CASPIANV study. Int J Prev Med 8:4. https://doi.org/10.4103/2008-7802.198915. eCollection 2017
Global School-based Student Health Survey (GSHS) (2012) World Health Organization. http://www.who.int/chp/gshs/en/. Accessed Jan 2018
Kelishadi R, Majdzadeh R, Motlagh ME,et al (2012) Development and evaluation of a questionnaire for assessment of determinants of weight disorders among children and adolescents: the CASPIAN IV study. Int J Prev Med 3:699–705. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3482997/
World Health Organization (2008) Training course on child growth assessment. WHO, Geneva. http://www.who.int/childgrowth/training/module_c_interpreting_indicators.pdf. Accessed Jan 2018
Salmon J, Campbell KJ, Crawford DA (2006) Television viewing habits associated with obesity risk factors: a survey of Melbourne school children. Med J Aust 184:64–67. https://www.mja.com.au/journal/2006/184/2/television-viewing-habits-associated-obesity-risk-factors-survey-melbourne. Accessed Nov 2017
Djalalinia SH, Qorbani M, Rezaei N, Sheidaei A, Mahdavi-Gorabi A, Kasaeian A (2017) Joint association of screen time and physical activity anthropometric measures in Iranian children and adolescents: the weight disorders survey of the CASPIAN-IV study. J Pediatr Endocrinol Metab 30(7):731–738. https://doi.org/10.1515/jpem-2016-0486
Adeniyi AF, Okafor NC, Adeniyi CY (2011) Depression and physical activity in a sample of Nigerian adolescents: levels, relationships and predictors. Child Adolesc Psychiatry Ment Health 5:16. https://doi.org/10.1186/1753-2000-5-16
Kowalski KC, Crocker PR, Donen RM (2004) The physical activity questionnaire for older children (PAQ-C) and adolescents (PAQ-A) manual. College of Kinesiology, University of Saskatchewan 87, Canada. https://www.prismsports.org/UserFiles/file/PAQ_manual_ScoringandPDF.pdf. Accessed Mar 2018
Kelishadi R, Motlagh ME, Roomizadeh P et al (2013) First report on path analysis for cardiometabolic components in a nationally representative sample of pediatric population in the Middle East and North Africa (MENA): the CASPIAN III study. Ann Nutr Metab 62(3):257–265. https://doi.org/10.1159/000346489
Haugland S, Wold B, Stevenson J et al (2001) Subjective health complaints in adolescence: a cross national comparison of prevalence and dimensionality. Eur J Public Health 11(1):4–10. https://doi.org/10.1177/140349480203000309
Benjamini Y, Hochberg Y (1995) Controlling the false discovery rate: a practical and powerful approach to multiple testing. J R Stat Soc Ser B 57:289–300. https://doi.org/10.2307/2346101
Kafeshani O, Sarrafzadegan N, Nouri F, Mohammadifard N (2015) Major dietary patterns in Iranian adolescents: Isfahan healthy heart program, Iran. ARYA Atheroscler 11(Suppl 1):61–68. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4530660/. Accessed Dec 2017
Leech RM, Worsley A, Timperio A et al (2015) Understanding meal patterns: definitions, methodology and impact on nutrient intake and diet quality. Nutr Res Rev 28:1–21. https://doi.org/10.1017/S0954422414000262
Shenkin A (2006) Micronutrients in health and disease. Postgrad Med J 82:559–567. https://doi.org/10.1136/pgmj.2006.047670
Chen X, Sekine M, Hamanishi S et al (2005) Lifestyles and health related quality of life in Japanese school children: a cross-sectional study. Prev Med 40(6):668–678. https://doi.org/10.1016/j.ypmed.2004.09.034
Farhang MA, Dehgan P, Jahangiry L (2018) Mental health problems in relation to eating behavior patterns, nutrient intakes and health related quality of life among Iranian female adolescents. PLoS One 13(4):e0195669. https://doi.org/10.1371/journal.pone.0195669
Huang CJ, Hu HT, Fan YC et al (2010) Association of breakfast skipping with obesity and health-related quality of life: evidence from a national survey in Taiwan. Int J Obes 34(4):720–725. https://doi.org/10.1038/ijo.2009.285
Yi Y-H, Kim Y-J, Lee S-Y, Lee J-G, Jeong D-W, Cho Y-H et al (2015) The correlation of meal frequency and nutrition with mental health status in women aged 20–39 years: the 5th Korea National Health and Nutrition Examination Survey, 2010–2012. Korean J Obes 24(2):101 107. https://doi.org/10.7570/kjo.2015.24.2.101
Seremet N, Karaagaoglu N, Kaner G, Tel K (2015) Gastroesophageal reflux symptoms and nutritional preferences. Ethno Med 9(3):305–318. https://doi.org/10.1080/09735070.2015.11905448
Casucci G, Terlizzi R, Cevoil S (2014) Headache in school age. Neurol Sci 35:31–35. https://doi.org/10.1007/s10072-014-1738-0
Torelli P, Evangelista A, Bini A et al (2009) Fasting headache: a review of the literature and new hypotheses. J Headache Pain 49(5):744–752. https://doi.org/10.1111/j.1526-4610.2009.01390.x
Lim SL, Canavarro C, Zaw MH et al (2012) Irregular meal timing is associated with helicobacter pylori infection and gastritis. ISRN Nutr 2013, https://doi.org/10.5402/2013/714970(eCollection 2013)
Fujiwara Y, Machida A, Watanabe Y et al (2005) Association between dinner-to-bed time and gastro-esophageal reflux disease. Am J Gastroenterol 100:2633–2636. https://doi.org/10.1111/j.1572-0241.2005.00354.x
Acknowledgements
This nationwide survey was performed in Iran with cooperation of Ministry of Education and Training, the Ministry of Health and Medical Education, the Child Health Promotion Research Center, the Isfahan University of Medical Sciences and the Endocrinology and Metabolism Research Center of Tehran University.
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Ethical approval
Study protocols were approved by the Ethics committee of Isfahan University of Medical Sciences, Project number: 194049.
Informed consent
After complete explanation of the study objectives and protocols, written and verbal informed consent was obtained from the parents and students, respectively.
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Azemati, B., Heshmat, R., Qorbani, M. et al. Association of meal skipping with subjective health complaints in children and adolescents: the CASPIAN-V study. Eat Weight Disord 25, 241–246 (2020). https://doi.org/10.1007/s40519-018-0559-1
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DOI: https://doi.org/10.1007/s40519-018-0559-1