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Factors Affecting the Prevalence of Obesity Among Primary School Students in Turkey


1 Department of Pediatric Nursing, Bulent Ecevit University, Zonguldak, Turkey
2 Department of Nursing, Bulent Ecevit University, Zonguldak, Turkey
*Corresponding Author: Meltem Kurtuncu, Department of Pediatric Nursing, Bulent Ecevit University, Zonguldak, Turkey. Tel: +90-3722613394, Fax: +90-3722613399, E-mail: meltemkurtuncu@yahoo.com.
Iranian Red Crescent Medical Journal. 2014 December; 16(12): e17785 , DOI: 10.5812/ircmj.17785 | PMID: 25763240 | PMCID: PMC4341246
Article Type: Research Article; Received: Jan 22, 2014; Revised: Apr 7, 2014; Accepted: Sep 2, 2014; epub: Dec 14, 2014; ppub: Dec 1, 2014

Abstract


Background: Obesity is an energy metabolism disorder which results in the excessive storage of fat and may also lead to physical and psychological problems. Since the 1980s, obesity has drastically increased across all age and socio-economic groups around the world.

Objectives: The purpose of the study was to investigate the risk factors affecting obesity in students in the age group of 6-15 years.

Patients and Methods: This was a population-based cross-sectional study on 868 students in Bahçelievler elementary school in Zonguldak, Turkey from March to April in 2010. Data was collected using demographic questionary forms and weight-length measurements.

Results: The median age was 10.3 ± 2.1; 47.6% of the children were female and 52.4% of them were male. About 70.2% of the students consumed fast food. It was identified that 67.1% of the students in the 6-10-year age group and 32.9% in 11-15-year age group were obese (P = 0.000). The obesity prevalence of children with one or two siblings was higher than the ones with more than two siblings (P = 0.001).

Conclusions: The study concluded that there were certain criteria related to development of obesity during a specific period of childhood and taking certain precautions could be effective in preventing it.

Keywords: Body Mass Index; Children; Obesity; Health Behavior

1. Background


Obesity is an energy metabolism disorder which results in the excessive storage of fat and may also lead to physical and psychological problems (1, 2). Since the 1980s, obesity has drastically increased across all age and socio-economic groups around the world. In the United States, the proportion of overweight adults is 54.9% and obese adults is 22.3% (3, 4). In 2006, the World Health Organization reported more than 400 million obese and 1.6 billion overweight people in the world and it is estimated that these numbers will reach 700 million and 2.3 billion, respectively, by 2015. The obesity rates are increasing due to factors such as malnutrition, insufficient physical activity, age, gender, education, income, race, socio-cultural structure, genotype, stress, depression, smoking, alcohol consumption, medicines usage, increase in births per woman and the timing between these births. This literature emphasizes that variables such as income, gender, occupation, marital status, food cost, architecture of cities, the labor force on females, and urbanization affect obesity (5).


In today’s society, the prevalence of obesity is not only limited to developed countries but also has begun to become an issue in developing countries (6). As a developing country itself, Turkey’s obesity rates have been increasing among adults. The rate of obesity is 21.2% among males and 41.5% among females (7). Considering that obesity has become more frequent among adults, and especially its even higher prevalent among children in recent years, this epidemy has taken the lead as the number one health problem (8). Research studies have determined that children commonly have a dietary lifestyle containing too much sugar, fat, or fast food (6). In the etiology of obesity, psychological conditions, genetic factors, sedentary life-style, nutritional habits, socio-economic status, endocrinal defects, and the use of drugs all play a role in the onset of poor nutrition and subsequent occurrence of obesity (2, 6). The prevalence rates of overweight and obese children have also been rapidly increasing, raising the risk of heart disease, hyperlipoidemia, Type-2 diabetes, and hypertension (5, 7).


Therefore, on behalf of creating a healthy society, the prevention of obesity in children is one of the important fields in terms of health services. In this research, to attain a successful conclusion, it is important to create a group of students from the school population. The school health services have been able to control the health risks at every level and have had an important role in helping students adopt healthy lifestyle behaviors (9). In addition to the normal role and function of the school nurses, due to different and complicated needs of the environment, they are serving and, as this environment are far medical solution opportunities, the frequency and quality of their roles can change accordingly (10). Because they help with finding solutions, acting as an advisor and offering an efficient response to problems arising during this process, school nurses are thought to be essential in the fight against obesity.

2. Objectives


The purpose of this study was to investigate the frequency of obesity and the factors affecting it in children 6-15 years old, who are students of Bahcelievler elementary school in Zonguldak, Turkey.

3. Patients and Methods


3.1. Design and Sample

This was a population-based cross-sectional study. All the primary school students (n = 12939) who were part of the study population were from the central Zonguldak province, Turkey. Population a = 0.05 and p = q = 0.5 were taken; thus, the sampling size was calculated as 374. Bahcelievler elementary school was chosen with a simple random sampling method. The sample group lasted from March to April 2010, including students who attended Bahcelievler elementary school in Zonguldak, Turkey, but were without any medical diagnoses, chronic conditions or under any prescriptions. A total of 186 students were excluded, of which 180 did not meet the inclusion criteria and six did not agree to be part of the study. Of the 1054 students of Bahcelievler elementary school, 868 students were included who met the study criteria and agreed to be part of the study.


3.2. Data Collection Tools

3.2.1. Preparation of Data Collection Form


The data collection format was prepared through analyzing the related literature (6, 8). A preapplication was reviewed with 10 children and it was then rearranged with respect to their opinions to test the format intelligibility and function. Afterwards, the format was finalized. These 10 children were excluded from the target study population. A data collection form with 26 questions determined the children’s demographical specificities (age, genetics, family education, family social situation, etc.) as well as the risk factors affecting them in developing obesity (height, weight, nutritional specifications).


3.2.2. Administration of the Data Collection Questionnaire

The children's information were filled during a face-to-face meeting. Questions targeting the children's families were sent to their home and returned. Using body mass index (BMI) to measure obesity is practical and the most widely accepted method today. Weight (kg), height (m), and rate of increase (BMI = weight (kg)/height2 (m2)) were measured. BMI varies among children depending on their age and genetics, according to which the BMI percentile is determined. According to this table, those in the 95th percentile were evaluated as obese (8).


In this study, the students’ height and weight measurements were evaluated as follows: the students were measured by a tape measuring tool; they were barefoot, in a position of attention, feet together, with their back against a plain wall. Their heights were measured from head to foot. Weight measurements were taken by a researcher expertized on child health using a portable scale which was adjusted to zero on a plain surface. The measurements were taken before lunch break and students were told to avoid wearing any outfit other than their school uniform.


3.3. Statistical Analysis

Data were assessed using the SPSS 15.0 (SPSS Inc., Chicago, IL, USA) (11). Statistical analyses tools such as number, percentage, mean, and chi-square were used. The results were evaluated against a 95% confidence interval and P < 0.05 was considered significant.


3.4. Ethical Approval

Permission for the research was obtained from the Ethics Committee of Medical Faculty of Zonguldak Karaelmas University prior to the study (Reg. No: 2010/01). The study protocol was specified. Upon the approval of the Provincial Directorate for National Education and Governorship of Zonguldak, the collaboration was created by informing the school director and teachers about the course of the study. Children who met the research criteria and their parents were informed about the aim, plan and benefits of the survey, were asked to fill out the patient information forms. Children and parents who accepted to participate in the survey signed patient consent forms and the survey started thereafter.

4. Results


The distributions of characteristic properties of the children are given in Table 1. The students were 6-15 years old and the median age was 10.3 ± 2.1; 47.6% of the children (n = 413) were female and 52.4% (n = 455) were male; 8.5% (n = 74) of the families had one child, 69.0% (n = 599) of had 2-3 and 22.5% (n = 195) had four or more children. Regarding residency, 96.2% of the students (n = 835) lived in city centers and 3.2% of them (n = 28) lived in the counties. The mean of scale measurements was 39.2 ± 12.9 (18-97 kg) and the mean of length measurements was 140.7 ± 13.0 (177-112 cm).


Fast food consumption frequency of the children and distribution of their reasons for consuming fast food are given in Table 2. Of the students, 70.2% (n = 609) consumed fast food; 60.5% of them (n = 451) consumed it just because they wanted to, 18.7% (n = 164) because they are at school at lunch time, and 41.0% (n = 359) because they want to be with their friends at the canteen. At the same time, 50.7% of the students (n = 309) consumed fast food when they were with their friends, 30.5% (n = 186) in their spare times, and 10.1% (n = 62) when they went out with their families on weekends.


The distribution of weight statuses according to socio-demographic attributes are given in Table 3. For BMI evaluation, the international BMI values that include overweight and obesity limits in accordance with age and gender were used (12). Of the students, 8.4% were overweight and 6.5% were obese. In Table 3, the children’s BMI positions were dependent on their socio-demographic specifications. Of the female students, 47.2% (n = 76) were overweight and 36.4% (n = 52) were obese; of the male students, 52.8% (n = 85) were overweight and 63.6% (n = 91) was obese. There was a meaningful difference regarding gender (P < 0.05). When the obesity levels were considered in accordance with age, 67.1% of the students in the 6-10 age group (n = 96) and 32.9% in the 11-15 age group (n = 47) were obese. Children whose fathers were working (90.2%), whose mothers were primary school graduates (30.8%), who consumed fast food (72%), and who had an obese member in the family (29.4%) were more likely to be obese.


It was identified that families of 33.5% of overweight students and 39.2% of obese students had a high income, which was considered 1500 Turkish Liras and above. Of the overweight children, 29.8% had one meal in addition to the three main meals and 31.5% of the obese students had two meals in addition; 88.8% of the overweight students regularly had breakfast, 75.2% of them regularly had lunch, and 95.7% regularly had dinner; 84.6% of the obese children regularly had breakfast, 76.2% of them regularly had lunch, and 90.9% regularly had dinner. It was determined that 78.9 of the overweight students and 74.8% of the obese ones did not have a habit of eating at night.


Table 1.
Distribution of Children According to Their Characteristics (n = 868) a

Table 2.
Fast Food Consumption Frequency of Children and Distribution of the Reasons (n = 868) a

Table 3.
Distribution of Body Mass Index of Children in Terms of Socio-Demographic Attributes (n = 868) a

5. Discussion


With the changing circumstances, such as consumption of high-energy foods and ever-decreasing physical activity, obesity has become an important health issue of industrialized countries. Socioeconomic conditions, environment, nutrition and demographic structures are factors that lead to the development of obesity. When industrialized Sweden and the US are compared, the prevalence of obesity in the US is two times more than Sweden due to cultural differences. Obese children of the US are of particular concern. According to the results of the studies in Turkey, obesity prevalence in pre-school children has been 2.2% (13).


Simsek et al. (14) determined the rate of obesity among primary school student as 4.8%. In a study by Kutlu and Civi (15), the proportions of overweight and obese children were 7.7% and 1.9%, respectively. In a study (7), 9% of children were overweight and 4.1% were obese. In this study, the prevalence of overweight students was 8.4% and the obesity prevalence was 6.5%. The study finding supported other study results conducted in Turkey. Recently, the increasing sedentary living conditions such as spending long periods by television and computer and using school transportation services may have caused the increase in the rate of obesity in children.


BMI increases as age increases. However, BMI means of males are a bit higher than those of females (16). In a survey, the prevalence of overweight males was 7.69%, which was more than females (3.82%). In a research, the obesity prevalence rates were 2.29% for females and 1.49% for males (17). In another study among students in Ankara province aged 6-12 years, 1.9% of males and 3.7% of females were obese (14). The prevalence of overweight and obese people decreases as age increase and the highest prevalence rates are seen among the 6-10-year age group.


In studies attempting to find the causes of obesity, family history has always been among the risk factors. Eating habits of the family affect the weight of a person as does his or her genetics. As the number family members increases, obesity is less observed among children (18). A meaningful but inverse relationship is found between the existence of obese members in a family and obesity. In a study by Ceylan et al. this relationship was defined as a risk factor that raises the prevalence of obesity (19). The reason for this meaningful but inverse relationship could probably be considered as families who are bothered by their body weights try to maintain their children’s body weights at normal levels.


In the study results analyzing the numbers of siblings, it was seen that the rate of overweight children who had one or two siblings was 70.8% and their obesity rate was 69.2%. For those who had three or more siblings, the overweight rate was 14.9% and the obesity rate was 18.2%. The obesity prevalence of children with one or two siblings was higher than those with more than two siblings (P < 0.05) (Table 3). This situation was assumed as a result of a lower income level and reduced food supply due to the higher number of family members.


In the study, no meaningful relationship between the obesity and the income level could be found, although the income level averages of the families were high (P > 0.05). In another study, an increase in socioeconomic levels was identified as a risk factor that enhanced obesity (20). The education levels of mothers and fathers and their occupations are important factors which can affect the income level. In a study aimed at adolescences, in areas with fewer college graduates, the obesity rates were higher due to unhealthy eating habits (21).


According to the results of the United States of America National Health and Nutrition Examination Survey III (NHANES III), as the education level of mother and father increases, the prevalence of overweight and obese children decreases (22). When socio-demographic attributes were analyzed, a meaningful relationship between the education level of mother and obesity was determined (P < 0.05) and no relation was found between the education level of father and obesity. This shows the possibility that the education level of mothers can be an effective factor on development and prevention of obesity (Table 3). The reason why the education level of father is not as effective as mothers may be due to the fact that mothers interact more with children. When working conditions of mothers and fathers were analyzed, no relationship between the occupation of mother and obesity could be identified; however, a meaningful relationship was found between the working conditions of father and obesity (P < 0.05). This relationship referred to the fact that children with working fathers were more obese (90.2%) (Table 3).


In a study by Suzek et al. the obesity prevalence rates were high among children whose parents worked (23). This was probably due to malnutrition and fast food consumption. In the study, 83.2% of the students who thought that they had enough information about nutrition were diagnosed with obesity. This reveals that students are not really educated about this subject. In another study, the consumption levels of fat and high energy foods that result in obesity were higher in children who did not have education on the subject (24). In another study, the knowledge level of the patients that were admitted to an obesity clinic and patients that had education about the subject increased (25). It can be conceived that education is an important factor in preventing obesity.


There was a statistically meaningful relationship between fast food consumption and obesity (Table 3). Consumption of Turkish thin pizzas with spicy meat filling pitas, cakes/desserts, biscuits, pastries/cookies and chocolates/wafers were identified as foods that increase the risk of obesity. Therefore, children are more interested in these foods than healthy ones on a consistent basis. Besides, among beverages, black tea is another identified risk factor that increases obesity; Excess consumption of black tea with sugar contributes to weight gain. When the regularity of main meals of the students was analyzed, 88.7% had breakfast regularly, 76.8% had lunch regularly, and 93.4% had dinner regularly. In the study by Kutlu and Civi (15), these rates were identified as breakfast consumption (87.1%), lunch consumption (93%) and dinner consumption (94.9%).


Foods such as fast food are low in nutritional value but high in energy, pure carbohydrate and fat. Most of the adolescents with irregular lunch habits consume foods with saturated fat and less vegetables and fruits. Fruits, vegetables and dairy products that are high in nutritional value are asserted to have preventative effects toward obesity (26). An inverse relationship between fruit consumption and overweight levels are shown in a study among the 5-8-year age groups (27). High-fiber, plant-based foods also have preventative effects against obesity (28). Pereira and Ludwig (29) have shown that high-fiber foods prevent children from becoming obese. Consumption of dairy products that are rich in calcium also prevents obesity (30).


Factors that affect the development of obesity in children show coherence with the factors asserted in literature. Today, obesity is one of the greatest health problems affecting children. This health concern may cause secondary health problems in the lives of children now or show up later as the children age. Obesity affects the lifetime of individuals and their quality of life; therefore, to prevent children who are the next generation and the basis of society against secondary health problems and to provide a high quality of life for them, obesity must be diagnosed in its early stages and precautions must be taken to solve this problem. School health services and school nurses are keys to addressing this problem that children are facing and ultimately preventing the onset of obesity.


The results in this study suggested that the behaviors that children learn will be shaped as their future life styles. A great number of these behaviors can be considered as risk factors for childhood overweight and obesity, such as poor eating habits, inadequate physical activity and wrong food habits. It is necessary to arrange training courses to teach sufficient and healthy nourishment and to instill a taste for physical activity. It is important to employ health nurses in schools.


The findings of the study were limited to the province of Zonguldak in Turkey.


In this research, to attain a successful conclusion, it was important to create a group of students from the school population. The school health services were able to control the health risks at every level and had an important role in helping students adopt healthy lifestyle behaviors (9). In addition to the regular role and function of the school nurses, due to different and complicated needs of the environment, they are serving and, as this environment are far medical solution opportunities, the frequency and the quality of their roles can change accordingly (10). Since they help find solutions, acting as advisors and offering efficient responses to problems arising during this process, school nurses are necessary in the fight against obesity.

Footnotes

Authors’ Contributions: Tulay Kuzlu Ayyildiz participated in design and data collection. All authors read, performed statistical analysis, drafted and approved the final manuscript.

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Table 1.

Distribution of Children According to Their Characteristics (n = 868) a

Characteristic Properties Value
Gender
Male 455 (52.4)
Female 413 (47.6)
Age Group, y
6-10 480 (55.2)
11-15 388 (44.8)
Residence
City 835 (95.6)
County 28 (3.6)
Town 5 (0.8)
Age, y 10.3 ± 2.1
Scale weight, kg 39.2 ± 12.9
Height, cm 140.7 ± 13.0
Body mass index 19.4 ± 4.0
a Data are presented as No. (%) or Mean ± SD.

Table 2.

Fast Food Consumption Frequency of Children and Distribution of the Reasons (n = 868) a

Variables Value
Fast food consumption status
Yes 609 (70.2)
No 259 (29.8)
Reasons of fast food consumption
I want to 451 (60.5)
There is no food prepared at home 23 (3.6)
I do not like the food prepared at home 37 (4.2)
It is cheap 24 (3.8)
I am in school at lunch time 164 (18.7)
My friends have fast food 359 (41.0)
Time of fast food consumption (n = 609) b
They are with their friends 309 (50.7)
Their spare time 186 (30.5)
They go out with their family on weekends 62 (10.1)
During exercising 25 (4.1)
Between the meals 116 (19.0)
a Data are presented as No. (%).
b Children gave more than one answer to this question.

Table 3.

Distribution of Body Mass Index of Children in Terms of Socio-Demographic Attributes (n = 868) a

Variables Underweight (< 5%) Normal (5-85%) Overweight (86-95%) Obese (≥ 96%) χ2 P Value
Gender 12.052 0.007
Female 15 (68.2) 270 (49.8) 76 (47.2) 52 (36.4)
Male 7 (31.8) 272 (50.2) 85 (52.8) 91 (63.6)
Age, y 21.524 0.000
6-10 8 (36.4) 273 (50.4) 103 (64) 96 (67.1)
11-15 14 (63.6) 269 (49.6) 58 (36) 47 (32.9)
Number of siblings 22.778 0.001
The only child 0 (0) 33 (6.1) 23 (14.3) 18 (12.6)
1 or 2 siblings 16 (72.7) 370 (68.3) 114 (70.8) 99 (69.2)
3 or more 6 (27.3) 139 (25.6) 24 (14.9) 26 (18.2)
Occupation of father 12.478 0.006
Retired 6 (27.3) 43 (7.9) 9 (5.6) 14 (9.8)
Working 16 (72.7) 499 (92.1) 152 (94.4) 129 (90.2)
Education level of mother 28.995 0.016
She could read and write 1 (4.5) 4 (0.8) 0 (0) 1 (0.7)
Primary school graduate 12 (54.5) 196 (36.2) 51 31.7 () 44 (30.8)
Secondary school graduate 1 (4.5) 81 (14.9) 29 (18) 24 (16.8)
High school graduate 5 (22.7) 158 (29.2) 50 (31.1) 39 (27.3)
Post-secondary graduate or higher 3 (13.6) 103 (19) 31 (19.3) 35 (24.5)
Fast food consumption 8.322 0.04
Yes 19 (86.4) 364 (67.2) 123 (76.4) 103 (72)
No 3 (13.6) 178 (32.8) 38 (23.6) 40 (28)
Family history of obesity 51.099 0.01
Yes 3 (13.6) 42 (7.7) 32 (19.9) 42 (29.4)
No 19 (86.4) 500 (92.3) 129 (80.1) 101 (70.6)
a Data are presented as No. (%).