|Year : 2012 | Volume
| Issue : 5 | Page : 809-814
Atherogenic risk factors among preschool children in Crete, Greece
Christos M Hatzis, Christopher Papandreou, Constantine I Vardavas, Dimitris Athanasopoulos, Euaggelia Balomenaki, Anthony G Kafatos
Department of Social Medicine, Preventive Medicine and Nutrition Clinic, Medical School, University of Crete, P.O. Box 1393 Heraklion, Crete, Greece
|Date of Web Publication||6-Sep-2012|
Preventive Medicine and Nutrition Clinic, University of Crete, School of Medicine, P.O.B. 2208 GR-71003, Heraklion, Crete
Source of Support: None, Conflict of Interest: None
| Abstract|| |
Objective: To investigate the presence of atherogenic factors among preschool children of Crete, Greece. Materials and Methods: This was a cross-sectional study. The study population included 1189 children, aged four to seven years, examined from January to May 2005, in public kindergartens. Biochemical, anthropometric, and blood pressure measurements were performed. Results: Of the boys 27.4% were classified as overweight or obese (obese 10.8%). The respective percentage for girls was 28.5% (obese 9%); 7.4% percent of the boys and 7.9% of the girls had blood pressure above the ninety-fifth percentile. TC of > 200 mg / dl was found in 14.4% and LDL-C of > 130 mg / dl in 13.8% of the children. Children with serum TG of > 100 mg / dl had a significantly higher mean WC and BMI than those with triglyceride levels of ≤ 80 mg / dl (59.7 vs. 55.9 cm and 17.9 vs. 16.6 kg / m 2 ; P < 0.05). Similarly, children with HDL-C < 45 mg / dl had significantly higher WC and BMI than children with HDL-C ≥ 60 mg / dl (57.7 vs. 53.5 cm and 17.1 vs. 16.5 kg / m 2 ; P < 0.05). Obese children had an Odds Ratio of 2.87 (95% confidence interval, 1.05 − 7.85, P = 0.041) for hypertriglyceridemia, as compared to non-obese children. Conclusion: Levels of obesity and especially central obesity were strongly related to other atherogenic risk factors in Cretan preschool children indicating the presence of this major public health problem in early ages.
Keywords: Atherogenic risk factors, obesity, preschool age, waist circumference
|How to cite this article:|
Hatzis CM, Papandreou C, Vardavas CI, Athanasopoulos D, Balomenaki E, Kafatos AG. Atherogenic risk factors among preschool children in Crete, Greece. Indian J Endocr Metab 2012;16:809-14
|How to cite this URL:|
Hatzis CM, Papandreou C, Vardavas CI, Athanasopoulos D, Balomenaki E, Kafatos AG. Atherogenic risk factors among preschool children in Crete, Greece. Indian J Endocr Metab [serial online] 2012 [cited 2021 Jul 26];16:809-14. Available from: https://www.ijem.in/text.asp?2012/16/5/809/100683
| Introduction|| |
The continuous increase in mortality indices from cardiovascular diseases, in middle-aged men and women in Greece, is closely associated with risk factors that initiate in childhood. The gradual detachment from the traditional lifestyle and diet of the Greek population over the past decades has been stated to be responsible for the rapid increase in premature deaths from cardiovascular disease (CVD). ,
Greece is one of the leading EU countries in the prevalence of childhood obesity.  The presence of overweight and obesity in children often co-exists with other CVD risk factors like hyperlipidemia, increased arterial blood pressure, and increased fasting glucose. Coexistence of three or four of these cardiovascular risk factors in children has be found to be related to an increase in fibrous plaque within the arterial endothelium, which may lead to the development of atheromatique plaques in adulthood. ,
Overweight and obese children [body mass index (BMI) > eighty-fifth percentile] have a much higher possibility of increased total cholesterol (TCHOL) when compared to children under the eighty-fifth percentile, while they are also at a risk for the development of a non-ideal lipid and glycemic profile.  In addition, studies have pointed out that positive anthropometric indices for overweight and obesity are associated with at least two other atherogenic risk factors in half of the preschool children.  This is of public health concern, as the importance of the monitoring of atherogenic risk factors from the age of preschool was elucidated within the Bogalusa Heart Study, where serum lipoproteins followed the same trend from the preschool period all the way into adulthood. 
Taking this into account, the present study has aimed to identify the distribution, clustering, and characteristics of atherogenic risk factors among preschool children of six municipalities in the prefecture of Chania, Crete, Greece.
| Materials and Methods|| |
This cross-sectional study was conducted in 2005 in all public kindergartens of six municipalities out of total 23 in the prefecture of Chania that cover a population of 81.719 inhabitants in Chania, Crete, Greece.
The duration of the study was 4 months (January-May 2005), with detailed evaluation of health, nutrition and development of a representative sample of 1189 children (591 boys and 598 girls), aged 4-7 years (mean age 5.3 ± 0.6 years).
Children's examinations were conducted in the preschools with the approval of the Greek Ministry of Education and the Ethics Committee of the -+University of Crete. Parents gave written consent for the children's participation after having been fully informed. Further information on the sampling framework can be found elsewhere. 
Prior to data collection, the research team (comprised of pediatricians, nurses, health visitors, and social workers) underwent training by the study group of the Preventive Medicine and Nutrition Clinic, at the University of Crete, in January 2005, in order to examine all children.
Blood collection and analysis
Venous blood samples were taken from 603 preschool children, > five years old, for biochemical screening tests following a 12 h overnight fast. For ethical reasons we did not take blood samples from children < five years old. From each child 3 ml of blood, with Ethylenediaminetetraacetic acid (EDTA), was collected for hematological examinations, and 5 ml of blood, without anticoagulant, for serum separation. Glucose was measured by the enzymatical method GOD-PAP.  The precise measurement method for TCHOL, triglycerides (TG), high-density lipoprotein cholesterol (HDL-C), and low-density lipoprotein cholesterol (LDL-C) is described in previous published studies. , Finally, the TCHOL / HDL-C ratio was estimated. The cut-off points used in hyperglycemia were blood glucose ≥ 100 mg / dl,  and in hypertriglyceridemia as TG ≥ 100 mg / dl and low HDL-C till < tenth percentile, for age and gender. 
Weight, height, waist circumference (WC) and hip circumference (HC) were measured in 1135 children, aged 4-7 years, while the waist to hip circumference and waist circumference to height ratios were calculated. The analytical description of the anthropometric methodology is described in depth elsewhere.  BMI was calculated by dividing weight (kg) by height squared (m 2 ). The anthropometric categorization of children was made according to International Obesity Taskforce.  Central obesity was defined as WC higher than the 90th percentile for age and sex. 
Arterial blood pressure measurement
Blood pressure was measured in 1134 children, aged 4-7 years, in a sitting position and after 5-10 minutes rest using a mercury manometer. Hypertension was defined as systolic blood pressure (SBP) and / or diastolic blood pressure (DBP) ≥ 95 th percentile for age, gender, and height on at least three separate occasions. 
Means and standard deviations were used to describe anthropometric measurements, lipoproteins, glucose, and arterial blood pressure by sex. Spearman's correlation coefficients by sex were also used for the above-mentioned parameters. The Chi-square (χ2 ) test was used for the children's distribution by normal, increased, and pathological levels of lipoproteins, glucose, and anthropometric measures. The Student t-test was used to test lipoprotein and glucose levels within the sexes in two age groups: 5.1 - 6.0 and 6.1 - 7.0 years. Analysis of Covariance (ANCOVA) was used to estimate the linear trend in arterial blood pressure and anthropometric measures for normal, increased, and pathological levels of lipoproteins and glucose, with sex and age as covariates. Heterogeneity was tested by the Levene's test. In children with pathological glucose and lipoprotein levels, logistic regression analysis was used for estimating the risk (Odds Ratios), as also 95% confidence intervals. The estimation was determined in relation to those children who had pathological levels of arterial blood pressure, central obesity, and BMI that assigned overweight and obesity. Age was the control variable. Finally, one sample Student test was used for the comparison of findings between the present study and other studies. Data were analyzed with the use of SPSS statistical package (SPSS 13.0 for Windows; SPSS Inc., Chicago, IL, USA).
| Results|| |
In this study, hypertension was found in 7.4% of the boys and 7.9% of the girls. Overweight and obesity affected 16.6 and 10.8% of the boys and 19.5 and 9.0% of the girls respectively; these differences were not significant. Only 1.3% from the total children was found to have increased blood glucose levels.
Descriptive values of lipoproteins and glucose, per age and sex, of the preschool children (> 5 years old) of Chania, in 2005, are given in [Table 1]. Boys and girls had similar figures for TCHOL, LDL-C, TCHOL / HDL-C, but girls aged between five and six years, had significantly higher TG values (P < 0.05). Also, among girls, notable lower glucose values were found in all ages (P < 0.05).
|Table 1: Lipoprotein and glucose levels following a 12-hour overnight fast in children of kindergartens in the prefecture of Chania, Crete, Greece in 2005|
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The distribution of lipoprotein levels in children of the prefecture of Chania: Increased levels of TCHOL were observed in 12.7% of the boys and 16.3% of the girls [Table 2]; however, these differences were not statistically significant. Similarly, increased LDL-C levels were also noted in both boys (11.1%) and girls (16.7%). According to the above-mentioned results, we were able to classify the preschool children into groups according to the prevalence of risk factors for the development of atherogenesis, by which one factor was found in 16.8% (n = 50) of the boys and 19.9% (n = 55) of the girls, two of these factors were observed in 5.1% (n = 15) of boys and 6.9% (n = 19) of girls, while three or more factors were found in 2.7% (n = 8) of boys (P = 0.026).
|Table 2: Distribution of lipoprotein levels in children in the prefecture of Chania, Crete, Greece in 2005|
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Arterial blood pressure and anthropometric measurements, in relation to normal, increased, and pathological lipoprotein and glucose levels of the study participants are shown in [Table 3]. The glucose levels were significantly correlated with SBP (P < 0.05). Significant correlations were observed between TG and WC (P < 0.05), BMI (P < 0.05), and waist-to-length ratio (P < 0.05). Negative correlations were found between HDL-C and WC (P < 0.05), BMI (P < 0.05), waist-to-hip ratio (P < 0.05), and waist-to-height ratio (P < 0.05).
|Table 3: Arterial blood pressure and anthropometric measurements in relation to glucose and serum lipoproteins in children in the prefecture of Chania, Crete, Greece in 2005|
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Logistic regression analysis showed that children with central obesity as a WC > ninetieth percentile were found to have 3.43 times increased risk (95% CI: 1.28 - 9.17, P = 0.014) for hypertriglyceridemia (data not presented). Children with BMI > 30 kg / m 2 , had a 2.87-fold higher risk (95% CI: 1.05 - 7.85, P = 0.041) for hypertriglyceridemia.
| Discussion|| |
The present study indicated that 77% of the preschool children had an increment in at least one risk factor for atherogenesis. The factors with the highest prevalence were overweight (18.1%) and obesity (9.9%) followed by hyperlipidemia (about 15%) and hypertension (7.7%), while seven of the 603 children had increased blood glucose. The high frequency of risk factors for atherogenesis, from such a small age, consists of an alarming finding and confirms the rise of obesity and its accompanying atherogenic factors among young children in Greece.
A previous study, from 1982, carried out in Heraklion, Greece / Crete, on a cohort of children and adolescents aged between nine and sixteen years found that the incidence of overweight and obesity was 20%, while a comparable study published in 2002 showed that 40% of the children were overweight and obese.  However, the body weight of younger children aged 5.5 - 7 years in the present study did not differ compared to the children of similar age in the prefecture of Chania, who were examined when registered in the first grade of all primary schools in the prefecture of Chania in 1992 - 1993. 
The increase in atherogenic factors such as overweight or hypertension at young ages is also observed in other countries. In Germany, a cross-sectional study of 127.735 children aged five to six years conducted in Bavaria in 1997,  showed that 12.3% of children were overweight in comparison to 8.5% in 1982. In the present study, in children of the same age group, 17.4% were overweight and 11% obese. Similar percentages were also noticed for overweight and obese children in Canada, among preschool children aged three to five years,  (17.7 versus 18.1% and 8 versus 8.1%). In the Bogalusa study,  only 6.5% of the children aged five to seven years were observed to be overweight. However, assessing the clustering of atherogenic risk factors in the Bog a lusa study indicated that the odds ratio in overweight children (BMI > 95 th percentile) was at a higher risk to develop hypercholesterolemia (TCHOL > 200 mg / dl), while such an association did not exist in the present study. Similar trends in BMI were observed among Indian children (18.2% were overweight and obese) putting them at increased risk for cardiovascular disease in their adulthood. 
Regarding the levels of SBP and DBP, in our study the children had significantly lower levels compared to those (5 - 6 years old) from Italy. 
One study in Athens among children, in 1995 - 1996,  indicated that those aged six to seven years had significantly lower TCHOL and LDL-C levels, compared to children of the same age in the present study, while they had significantly higher HDL-C levels and TG. Compared to children aged three to six years from another study conducted in Tehran involving a group of 3.148 children (3-19 years old), in 1999 - 2000,  the children of our study had significantly lower TG and LDL-C levels and considerably higher HDL-C levels.
In general, the findings of this study indicate that the rise in the levels of different atherogenic risk factors in preschool age are not independent of each other, but coexist, especially in case of overweight or obesity. Excess body weight in children can be affected by several factors, such as parental and grandparental characteristics, birth and growth-related variables, and lifestyle factors, such as dietary intake practices, television viewing, and physical inactivity.  The abnormal lipid profile and hypertension observed here could be attributed to a Westernized diet probably consumed by the studied children.  Adherence to the traditional Greek diet and adoption of moderate-to-vigorous physical activity could be two important steps toward the reduction of atherogenic risk factors in children, in Greece. The contribution of long-term education intervention programs in children, with an emphasis on nutrition and exercise issues, , is important, and the benefits obtained from these programs are shown through their evaluation.
There were limitations in this study. We did not examine the other possible risk factors for atherogenesis in children, such as, parental BMI, physical activity and eating habits, lifestyle factors, and other early life factors such as birth weight, early weight gain, and breast feeding.
In conclusion, the findings of this study indicate that the rise in levels of different atherogenic risk factors at the preschool age are not independent of each other, but coexist, especially in children who are overweight or with obesity. These factors indicate that there is a need for an overall, joint action to combat the increasing risk factors for chronic diseases from early childhood, as there is a transition in the lifestyle of the Greek population.
| Acknowledgments|| |
This study was funded by the Friesland Company and the Prefecture of Chania. We would also like to acknowledge the help of our colleagues: M. Linardakis, C. Lionis, A. Kapnisakis, E. Stamataki, S. Flouri, I. Markatzi, J. Moschandreas, M. Kiriakakis, and F. Bervanaki. There are no conflicts of interest.
| References|| |
|1.||Vardavas CI, Linardakis M, Hatzis C, Saris W, Kafatos A. Prevalence of obesity and physical inactivity among farmers from Crete (Greece), four decades after the Seven Countries Study. Nutr Metab Cardiovasc Dis 2009;19:156-62. |
|2.||Manios Y, Angelopoulos PD, Kourlaba G, Kolotourou M, Grammatikaki E, Cook TL, et al. Prevalence of obesity and body mass index correlates in a representative sample of Cretan school children. Int J Pediatr Obes 2011;6:135-41. |
|3.||Papandreou C, Mourad TA, Jildeh C, Abdeen Z, Philalithis A, Tzanakis N. Obesity in Mediterranean region (1997-2007): A systematic review. Obes Rev 2008;9:389-99. |
|4.||Berenson GS, Srinivasan SR, Bao W, Newman WP 3rd, Tracy RE, Wattigney WA. Association between multiple cardiovascular risk factors and atherosclerosis in children and young adults. The Bogalusa Heart Study. N Engl J Med 1998;338:1650-6. |
|5.||McGill HC Jr, McMahan CA, Malcom GT, Oalmann MC, Strong JP. Relation of glycohemoglobin and adiposity to atherosclerosis in youth. Pathobiological Determinants of Atherosclerosis in Youth (PDAY) Research Group. Arterioscler Thromb Vasc Biol 1995;15:431-40. |
|6.||Freedman D, Dietz W, Srinivasan S, Berenson G. The relation of overweight to cardiovascular risk factors among children and adolescents: The Bogalusa Heart Study. Pediatrics 1999;103:1175-82. |
|7.||Nicklas TA, von Duvillard SP, Berenson GS. Tracking of serum lipids and lipoproteins from childhood to dyslipidemia in adults: The Bogalusa Heart Study. Int J Sports Med 2002;23 (Suppl 1):S39-43. |
|8.||Vardavas CI, Tzatzarakis MN, Tsatsakis AM, Athanasopoulos D, Balomenaki E, Linardakis MK, et al. Biomarkers of passive smoking among Greek preschool children. Eur J Pediatr 2006;165:891-6. |
|9.||Trinder P. Determination of glucose in blood using glucose oxidise with an alternative oxygen acceptor. Ann Clin Biochem 1969;6:24-7. |
|10.||Sugiuchi H, Uji Y, Okabe H, Irie T, Uekama K, Kayahara N, et al. Direct measurement of high-density lipoprotein cholesterol in serum with polyethylene glycol-modified enzymes and sulfated alpha-cyclodextrin. Clin Chem 1995;41:717-23. |
|11.||Manual of Laboratory Operation, Lipid research Clinics Program, Bethesda, MD: National Institutes of Health 1. US Dept of Health, Education on Welfare publication (NIH) 1974. p. 75-628. |
|12.||Cruz M, Goran M. The metabolic syndrome in children and adolescents. Curr Diab Rep 2004;4:53-62. |
|13.||American Academy of Pediatrics. National Cholesterol Education Program: Report of the Expert Panel on Blood Cholesterol Levels in Children and Adolescents. Pediatrics 1992;89:525-84. |
|14.||Linardakis M, Sarri K, Pateraki MS, Sbokos M, Kafatos A. Sugar-added beverages consumption among kindergarten children of Crete: Effects on nutritional status and risk of obesity. BMC Public Health 2008;8:279. |
|15.||Cole TJ, Bellizzi MC, Flegal KM, Dietz WH. Establishing a standard definition for child overweight and obesity worldwide: International survey. BMJ 2000;320:1240-3. |
|16.||Magkos F, Manios Y, Christakis G, Kafatos AG. Secular trends in cardiovascular risk factors among school-aged boys from Crete, Greece, 1982-2002. Eur J Clin Nutr 2005;59:1-7. |
|17.||National High Blood Pressure Education Program Working Group on High Blood Pressure in Children and Adolescents. The Fourth Report on the Diagnosis, Evaluation, and Treatment of Children and Adolescents. Pediatrics 2004;114(suppl 2):555-76. |
|18.||Linardakis M, Sarri K, Bertsias G, Papadaki A, Kafatos A. Waist circumference and waist-to-height percentiles for the youth of Crete, Greece. Int J Child Health and Hum Dev 2010;3:81-93. |
|19.||Manios Y, Moschandreas J, Hatzis C, Kafatos A. Evaluation of a health and nutrition education program in primary school children of Crete over a three- year period. Prev Med 1999;28:149-59. |
|20.||Kalies H, Lenz J, Von Kries R. Prevalence of overweight and obesity and trends in body mass index in German pre-school children, 1982-1997. Int J Obes 2002;26:1211-7. |
|21.||Canning P, Courage M, Frizell L. Prevalence of overweight and obesity in a provincial population of Canadian preschool children. CMAJ 2004;171:240-2. |
|22.||Khadilkar VV, Khadilkar AV, Cole TJ, Chiplonkar SA, Pandit D. Overweight and obesity prevalence and body mass index trends in Indian children. Int J Pediatr Obes 2011;6:e216-24. |
|23.||Menghetti E, Virdis R, Strambi M, Patriarca V, Riccioni MA, Fossali E, et al. Blood pressure in childhood and adolescence: The Italian normal standards. Study Group on Hypertension' of the Italian Society of Pediatrics. J Hypertens 1999;17:1363-72. |
|24.||Sculpis K, Karikas G. Serum cholesterol and triglyceride distribution in 7767 school-aged Greek children. Pediatrics 1998;101:861-4. |
|25.||Azizi F, Rahmani M, Madjid M, Allahverdian S, Ghanbili J, Ghanbarian A, et al. Serum lipid levels in an Iranian population of children and adolescents: Tehran lipid and glucose study. Eur J Epidemiol 2001;17:281-8. |
|26.||Jouret B, Ahluwalia N, Cristini C, Dupuy M, Nègre-Pages L, Grandjean H, et al. Factors associated with overweight in preschool-age children in southwestern France. Am J Clin Nutr 2007;85:1643-9. |
|27.||Hatzis CM, Papandreou C, Kafatos AG. School health education programs in Crete: Evaluation of behavioural and health indices a decade after initiation. Prev Med 2010;51:262-7. |
|28.||Booth ML, King LA, Pagnini DL, Wilkenfeld RL, Booth SL. Parents of school students on childhood overweight: The Weight of Opinion Study. J Paediatr Child Health 2009;45:194-8. |
[Table 1], [Table 2], [Table 3]