Skip to main content
Download PDF

Nutritional status of under six years old children in Kalar city, Kurdistan Region, Iraq

BMC Public Health volume 22, Article number: 1668 (2022) Cite this article

Abstract

Introduction

Nutritional problems in children cause major morbidity and mortality in the world. This study aimed to assess the nutritional status of under six years old children in Kalar city, Kurdistan Region, Iraq.

Methods

In this longitudinal study, data from 403 Iraqi Kurdish children aged 0–72 months and their mothers were extracted from Health Centre in Kalar city undertaken between 2013 and 2019. The children`s growth data were obtained at birth time, 6, 12, 24, and 72 months. Epi Info was used to classify the children of nutritional status by converting the anthropometric measurements into Z-scores. Data were analyzed using SPSS 25 software.

Results

The prevalence of overweight and obesity rose from birth to age 6 years old, from 19.6% and 7.4% to 52.2% and 30.5%, respectively. At 24 month, children had the highest rates of being overweight (56.1%) and obesity (34%). At 6 month, the highest prevalence of wasting exists (9.5%). At 6 month boys and girls had the highest frequency of stunting, 17.2% and 7.2% respectively. Considering the association of all characteristic variables and growth data at birth time, only mothers with academic education had children with significantly higher BMI for age compared to illiterate mothers after adjusting for all potential confounders (β: 0.573, 95% CI: 0.105, 1.04, P: 0.017).

Conclusion

The study suggests that some analysed factors that accounted for malnutrition in Kalar city’s children are preventable. Therefore, to reduce the burden of malnutrition, community-based education and targeted nutritional interventions are required.

Peer Review reports

Introduction

Malnutrition in children is a major public health problem in developing countries and it has both short- and long-term health consequences [1, 2]. It has an impact on children's health and development, increases the risk of illnesses, and contributes considerably to morbidity and death in children [3, 4]. Three well-known markers of a child's nutritional condition are underweight, wasting and stunting [5]. Wasting and stunting are the indicators of under-nutrition [5, 6]. Malnutrition has a key role in the worldwide burden of several illnesses [7].

According to a global nutrition study in 2018, the prevalence of coexisting stunting, wasting, and overweight in Iraqi children under the age of five was about 4, 10.30, and 2.80 per cent, respectively [8]. Malnutrition in children is caused by a variety of risk factors, Several studies have identified socioeconomic inequalities, regional variations, poor feeding habits, family food insecurity, maternal low education, and youngster morbidity as common risk factors [9, 10].

In childhood and adolescence, natural growth is the most significant health indicator. Individually and in groups, standard growth charts and graphs are used to examine the nutritional and growth status of children and adolescents [11]. Growth trends measure the rate of change over time. They may be measured over any period, such as a month, a year, or a decade. You can anticipate future growth by identifying the growth trend [12].

The Iraqi Kurdistan region is one of the regions that has undergone extensive economic and social changes in the last three decades. The occurrence of these changes has had a great impact on children. Due to these changes, very few studies related to health and nutrition sciences have been done in this part of the world, the purpose of this study is to assess the nutritional status of children from birth time to 6 years old in Kalar city.

Methods

Study location and population

This longitudinal study was conducted in 2020 at the Sherwana Primary Health Centre in Kalar city, Kurdistan Region of Iraq. The participants consists of children who had born in 2013 and followed their growth during six years. A sample size of 403 children was estimated at 95% significant levels, an error level of 0.05, and 10% additional samples for considering missing data. We included healthy children who were all free of congenital abnormalities and had lived in Kalar city for a year or more. However, children due to having a congenital abnormality, discontinuing follow-up, living in rural areas or living in the study area for less than 1 year were excluded from the study.

Data collection

Demographic data from the family certificate included the mother's age (year), family income, type of delivery, abortion history, gestational diabetes, consanguinity marriage, supplementation, anemia during pregnancy, unwanted pregnancy, twins, mother's job, father's job, and maternal education. The height (cm) and weight (kg) of the study children were measured using a measuring board (to the nearest 0.1 cm) and a standard weight scale (to the nearest 0.1 kg). When the measurements were collected, the children were dressed simply and wore no shoes. The ages of the children were obtained from their birth certificates.

Based on the WHO growth standards, nutritional disorders were defined as following [13]:

  • Stunting: height for age < –2 SD of the WHO Child Growth Standards median.

  • Wasting: BMI for age < –2 SD of the WHO Child Growth Standards median.

  • Overweight: BMI for age > +2 SD of the WHO Child Growth Standards median.

  • Obese: BMI for age > +3 SD of the WHO Child Growth Standards median.

Statistical analysis

The samples were statistically analyzed at a 95% significant level using SPSS software version 25. Epi Info version 7 was used to classify the study children of nutritional status by converting the anthropometric measurements into Z-scores. The prevalence of this malnutrition status is calculated as the number of cases divided by the children population. One sample Z-test was used for comparing the Z-score distribution of weight for age (WAZ), height for age (HAZ) and BMI for age (BAZ) with a standard index of WHO. Univariate and multiple linear regression models were used to assess the factors associated with WAZ, HAZ and BAZ. Those variables with a P-value lower than 0.2 in the univariate analysis (crude analysis) were entered into the multiple models (adjusted model). The samples were statistically analyzed at a 95% significant level using SPSS software version 25.

Results

The characteristics of the participants are shown in Table 1. A total of 403 mothers and their children from a total of 463 subjects were included in the study. 84.12% of mothers were housewives, and 20.35% of them had low income status. In terms of gender, 58.1% of children were female.

Table 1 Characteristics of study subjects and associated factors with height for age and BMI for age at birth time
Full size table

The association of all characteristic variables and Z-score of height for age and BMI for age at a birth time in the crude and adjusted analysis are depicted in Tables 1 and 2, respectively. Regarding height for age Z-score, no significant difference was observed for all demographic variables in the crude and adjusted model. Considering BMI for age Z-score, only mothers with academic had significantly higher BMI for age Z-score compared to mothers without formal education (β: 0.63, 95% CI: 0.18, 1.08, P-value: 0.005). This association remained significant after adjusting for all potential confounders (β: 0.573, 95% CI: 0.105, 1.04, P-value: 0.017). Other characteristic variables did not show a significant association.

Table 2 Adjusted association of characteristics variables with height for age and BMI for age at birth time
Full size table

Height and BMI for age Z-score from birth time to 6 years old of children in comparison with WHO standard has shown in Table 3, The findings of the present study showed the highest prevalence of overweight and obesity (BMI for age) in 24 month children (62.4%) and (52.5%), respectively and P-value of BMI for age Z-score in boys and girls vs. WHO standard was < 0.0001. In addition, the highest prevalence of obesity and overweight was in boys. The prevalence of wasting (weight-for-height) was 4% at the birth time but it rose to 4.9% in 6 years old, P-value of height for age Z-score in boys and girls vs. WHO standard was < 0.0001. The lowest prevalence of stunting according to height for age was in children of 12 month (1.7%).

Table 3 Height for age Z-score and BMI for age Z-score from birth time to 6 years old of children in comparison with WHO standards
Full size table

The nutritional status of total children by age at five different times (birth time, months 6, 12, 24 and 6 years) has shown in Fig. 1. The highest rate of overweight was observed in boys at 24 month (61.4%). The lowest prevalence of underweight was observed in children at birth time (0.44%).

Fig. 1
figure 1

Nutritional status of total children according to age and gender in Kalar city, Kurdistan region, Iraq

Full size image

Discussion

The present study examined the nutritional status of children under 6 years of age and related factors in Kalar city, Iraq. Our analysis indicated that the highest rate of overweight was observed in boys at 24 month (61.4%). The lowest prevalence of underweight was observed in children at the birth time (0.44%) and only mothers with academic literature had significantly higher BMI for age compared to mothers with lower education. Our findings also showed that stunting was more prevalent among boys than girls in 0–6 years old children.

Malnutrition (stunting, wasting, and overweight) in children, especially in preschool children, affect the intellectual [14, 15] and physical development [16] in childhood and increased the risk of adulthood obesity and unfavourable cardio-metabolic consequences [17], the growth trend and nutritional status of preschool children are one of the major priorities for health systems.

In a cross-sectional study [18] performed on 15,408 children under the age of 6 years in Fars province, Iran, the rates of wasting, stunting, and underweight were 8.19, 9.53, and 9.66%, respectively. Similar to our study, stunting rates were higher among boys than girls. In this study, the stunting rate was significantly associated with lower mothers' education and lower family income. Also, the large dimension of family and lack of access to health services were related to being underweight and wasting, respectively. In another study [19] of 65,908 pre-school children aged 2 to 7 years in Luoding city, China, the prevalence of overweight and obesity increased from 3.70% to 7.27% and 1.04% to 2.08%, respectively. Meanwhile, the wasting reduced from 0.91% to 0.72%, and stunting decreased from 9.29% to 5.22% from 2004 to 2013.‬‬‬ ‬This trend does not provide satisfactory results. In recent decades we have encountered a phenomenon called abdominal satiety (‬‬‬versus‬‬‬ cellular satiety), especially in low-income countries, where children appear obese while suffering from cellular malnutrition [20, 21].‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬

In our study, the rate of stunting was highest among 6-month-old boys, while in the study of EN Muchina et al., [22] Which performed on 418 Kenyan children aged 0–24 months, the rate of stunting among children aged 7 to 12 months was three times higher than 0–6 months. Also, our analysis indicated that the highest rate of overweight was observed in boys at 24 month, while in this study, underweight increased with age up to 24 month and wasting was at the highest level in children 13–24 months. Also, in Chandigarh-India [23], proportions of underweight (45.5%) and stunting (81.8%) were found to be maximum among children aged 13–24 months.

In general, the difference in the prevalence of undernutrition in different parts of the world is related to various risk factors such as child’s gender, children's health care, health status and rates of infectious diseases, breastfeeding, family socioeconomic status, mother's education, pre-pregnancy weight, ethnicity, and family size.

The results indicated a higher prevalence of stunting in boys compared to girls. This finding was supported by other researchers; their studies revealed that boys due to vulnerability to childhood diseases may be at higher risk for stunting [24–26].

Our results also revealed that children of mothers with academic literature had significantly higher BMI for age compared to those of mothers without formal education. In agreement, previous studies reported a higher prevalence of undernutrition in children of mothers with lower educational levels [24, 27]. In the study of Kavosi et al. [18], the prevalence of stunting was lower in children whose mothers had an academic education than in children whose mothers had a diploma or less. Educated mothers can become more aware of their children's nutritional status and improve their children's growth process through better and more efficient health services usage and prevent malnutrition [24, 27–29]. The main strength point of our study is that it was the first study to assess the children's nutritional status in Kalar city.

The limitation of our study is that information regarding gestational age, family income, and breastfeeding status was not accurately provided.

Conclusion

Overall, according to the standards set by WHO reference, the prevalence of stunting, and wasting among children in Kalar city ​was very low and acceptable, while the prevalence of overweight and obesity was very high. Given the serious consequences of malnutrition and the scarcity of studies determining the nutritional status of children in kurdistan region, running the studies with large sample size seems to be mandatory in this area.

Availability of data and materials

The data analysed in the study are available from the corresponding author on reasonable request.

Abbreviations

HAZ:

Height-for-age Z-score

BAZ:

BMI-for-age Z-score

BMI:

Body mass index

WHO:

World health organization

SD:

Standard deviation

SPSS:

Statistical Package for Social Sciences

References

  1. Bomela NJ. Social, economic, health and environmental determinants of child nutritional status in three central Asian republics. Public Health Nutr. 2009;12:1871–7.

    Article  Google Scholar 

  2. WHO. Guideline: Updates on the management of severe acute malnutrition in infants and children. Geneva: World Health Organization; 2013.

    Google Scholar 

  3. Ezeonwu B, Chima O, Oguonu T, Ikefuna A, Nwafor I. Morbidity and mortality pattern of childhood illnesses seen at the children emergency unit of federal medical center, asaba. Nigeria Ann Med Health Sci Res. 2014;4(Suppl 3):S239–44.

    Article  Google Scholar 

  4. Takele K, Zewotir T, Ndanguza D. Risk factors of morbidity among children under age five in Ethiopia. BMC Public Health. 2019;19(1):942.

    Article  Google Scholar 

  5. Onis MD, Blössner M. The World Health Organization global database on child growth and malnutrition: methodology and applications. Int J Epidemiol. 2003;32(4):518–26.

    Article  Google Scholar 

  6. Salehi-Abargouei A, Abdollahzad H, Bameri Z, Esmaillzadeh A. Underweight, overweight and obesity among zaboli adolescents: a comparison between international and Iranians’ National Criteria. Int J Prev Med. 2013;4(5):523–30.

    PubMed  PubMed Central  Google Scholar 

  7. Liu L, Oza S, Hogan D, Perin J, Rudan PI, Lawn PJE, et al. Global, regional, and national causes of child mortality in 2000–2013, with projections to inform post– 2015 priorities: an updated systematic analysis. Lancet. 2015;385(9966):430–40.

    Article  Google Scholar 

  8. The burden of malnutrition at a glance. Country Nutrition Profiles. 2020.

  9. Akombi BJ, Agho KE, Merom D, Hall JJ, Renzaho AM. Multilevel analysis of factors associated with wasting and underweight among children underfive years in Nigeria. Nutrients. 2017;9(1):44.

    Article  Google Scholar 

  10. Das S, Gulshan J. Different forms of malnutrition among under five children in Bangladesh: a cross sectional study on prevalence and determinants. BMC Nutrition. 2017;3(1). https://doi.org/10.1186/s40795-016-0122-2.

  11. Mahan LK, Escott-Stump S, Raymond JL, Krause E. Krause’s food & the nutrition care process. Philadelphia, PA: Elsevier Health Sciences; 2012.

  12. Al-Sane ARAH. Africa in transition: growth trends in children and implications for nutrition. Ann Nutr Metab. 2014;64:8–13.

    Google Scholar 

  13. Training course on child growth assessment. WHO. 2008.

  14. de Onis M, Borghi E, Arimond M, Webb P, Croft T, Saha K et al. Prevalence thresholds for wasting, overweight and stunting in children under 5 years. Public Health Nutrition. 2018;1–5.

  15. WHO. Global reference list of 100 core health indicators (plus health-related SDGs). Geneva: World Health Organization; 2018 (https://www.who.int/healthinfo/indicators/2018/en/).

  16. Drozdz D, Alvarez-Pitti J, Wójcik M, Borghi C, Gabbianelli R, Mazur A, Herceg-Čavrak V, Lopez-Valcarcel BG, Brzeziński M, Lurbe E, Wühl E. Obesity and cardiometabolic risk factors: from childhood to adulthood. Nutrients. 2021;13(11):4176.

    Article  Google Scholar 

  17. Sommer A, Twig G. The impact of childhood and adolescent obesity on cardiovascular risk in adulthood: a systematic review. Curr DiabRep. 2018;18(10):1–6.

    Google Scholar 

  18. Kavosi E, Rostami ZH, Kavosi Z, Nasihatkon A, Moghadami M, Heidari M. Prevalence and determinants of under-nutrition among children under six: a cross-sectional survey in Fars province Iran. Int J Health Policy Manag. 2014;3(2):71.

    Article  Google Scholar 

  19. Yan XY, Li Q, Luo BX, You TH, Wang HJ. Trend in the nutritional status of children aged 2–7 years in Luoding city, China: A panel study from 2004 to 2013. PloS One. 2018;13(10):e0205163 2018;13(10).

    Article  Google Scholar 

  20. Bailey RL, West KP Jr, Black RE. The epidemiology of global micronutrient deficiencies. Ann Nutr Metab. 2015;66(Suppl 2):22–33.

    Article  CAS  Google Scholar 

  21. Darnton-Hill I. Control and prevention of micronutrient malnutrition. Asia Pac J Clin Nutr. 1998;7(1):2–7.

    CAS  PubMed  Google Scholar 

  22. Muchina E, Waithaka P. Relationship between breastfeeding practices and nutritional status of children aged 0–24 months in Nairobi, Kenya. Afr J Food Agric Nutr Dev. 2010;10(4). https://doi.org/10.4314/ajfand.v10i4.55329.

  23. Kumar D, Goel NK, Mittal PC, Misra P. Influence of infant-feeding practices on nutritional status of under-five children. Indian J Pediatr. 2006;73(5):417–21.

    Article  Google Scholar 

  24. Demissie S, Worku A. Magnitude and factors associated with malnutrition in children 6–59 months of age in pastoral community of Dollo Ado district, Somali region. Ethiopia Sci J Public Health. 2013;1(4):175–83.

    Article  Google Scholar 

  25. Meshram II, Arlappa N, Balakrishna N, Rao KM, Laxmaiah A, Brahmam GNV. Trends in the prevalence of undernutrition, nutrient and food intake and predictors of undernutrition among under five year tribal children in India. Asia Pac J Clin Nutr. 2012;21(4):568–76.

    PubMed  Google Scholar 

  26. Zhang J, Shi J, Himes JH, Du Y, Yang S, Shi S, et al. Undernutrition status of children under 5 years in Chinese rural areas-data from the national rural children growth standard survey, 2006. Asia Pac J Clin Nutr. 2011;20(4):584–92.

    CAS  PubMed  Google Scholar 

  27. Jesmin A, Yamamoto SS, Malik AA, Haque MA. Prevalence and determinants of chronic malnutrition among preschool children: a cross-sectional study in Dhaka City, Bangladesh. J Health Popul Nutr. 2011;29(5):494.

    Article  Google Scholar 

  28. Janevic T, Petrovic O, Bjelic I, Kubera A. Risk factors for childhood malnutrition in Roma settlements in Serbia. BMC Public Health. 2010;10(1):1–8.

    Article  Google Scholar 

  29. Shibulal A. A study on the prevalence of Under-nutrition and its determinants in anganwadi children of Malappuram district. Kerala: SCTIMST; 2012.

    Google Scholar 

Download references

Acknowledgements

We want to thank the staff of Sherwana Primary Health Centre in Kalar city, Kurdistan Region of Iraq.

Funding

The deputy for research and development of Kermanshah University of Medical Sciences has funded this study.

Author information

Authors and Affiliations

  1. Student Research Committee, Kermanshah University of Medical Sciences, Kermanshah, Iran

    Hawal Lateef Fateh

  2. Nursing Department, Sulaimani Polytechnic University, Kurdistan region, Sulaimani, 460001, Iraq

    Hawal Lateef Fateh

  3. Department of Nutrition, Research Center for Environmental Determinants of Health (RCEDH), Kermanshah University of Medical Sciences, Kermanshah, Iran

    Mostafa Nachvak & Hadi Abdollahzad

  4. Infectious Diseases Research Center, Kermanshah University of Medical Sciences, Kermanshah, Iran

    Shahab Rezaeian

  5. Student Research Committee, Isfahan University of Medical Sciences, Isfahan, Iran

    Mina Darand

  6. Student Research Committee, Tehran University of Medical Sciences, Tehran, Iran

    Amir Bagheri

Authors
  1. Hawal Lateef Fateh
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Mostafa Nachvak
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Hadi Abdollahzad
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Shahab Rezaeian
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Mina Darand
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Amir Bagheri
    View author publications

    You can also search for this author in PubMed Google Scholar

Contributions

Mostafa nachvak and Hadi Abdollahzad designed the study. Hawal Lateef collected data, and Shahab Rezaeian analyzed the data. Hawal Lateef, amir Bagheri, and Mina Darand prepared the draft of the manuscript. Mostafa nachvak and Hadi Abdollahzad reviewed and approved the final manuscript. The author(s) read and approved the final manuscript.

Corresponding authors

Correspondence to Mostafa Nachvak or Hadi Abdollahzad.

Ethics declarations

Ethics approval and consent to participate

The Ethics Committee of Kermanshah University of Medical Sciences approved the study (code: IR.KUMS.REC.1399.1082). Due to the spread of the coronavirus, we were unable to talk to the children's parents face to face, so we had to talk to them over the phone and get their verbal informed consent. The procedure for obtaining verbal informed consent was approved by the Ethics Committee of Kermanshah University of Medical Sciences. All methods were carried out by relevant guidelines and regulations. This study was conducted by the Declaration of Helsinki.

Consent for publication

Not applicable.

Competing interests

The authors declare no conficts of interest.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and Permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Fateh, H.L., Nachvak, M., Abdollahzad, H. et al. Nutritional status of under six years old children in Kalar city, Kurdistan Region, Iraq. BMC Public Health 22, 1668 (2022). https://doi.org/10.1186/s12889-022-14071-2

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s12889-022-14071-2

Keywords

BMC Public Health

ISSN: 1471-2458

Contact us