Miyeon Park; Pilsook Park

doi:10.5720/kjcn.2016.21.1.102

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Factors Related to Eating Habits and Nutrition Status of Mother Affecting on Body Mass Index of Children aged 1-5years: Data from the Fifth Korea National Health and Nutrition Examination Survey, 2010-2011: Miyeon Park, Pilsook Park; Korean Journal of Community Nutrition 2016;21(1):102-111.
DOI: https://doi.org/10.5720/kjcn.2016.21.1.102
Published online: February 29, 2016

¹Department of Food & Nutrition, Gyeongsang National University, Jinju, Korea.

²Department of Food Science & Nutrition, Kyungpook National University, Daegu, Korea.

Corresponding author: Pilsook Park. Department of Food Science and Nutrition, Kyungpook National University, 80, Daehakro, Bukgu, Daegu, 41566, Korea. Tel: (053) 950-6236, Fax: (053) 950-6229, pspark@knu.ac.kr

• Received: January 11, 2016 • Revised: February 12, 2016 • Accepted: February 22, 2016

This is an Open-Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Abstract
Acknowledgments
Acknowledgments
REFERENCES

Abstract

Objectives
The intention of this study was to find out the impact of mother's body mass index, eating habits, nutrition status and sociodemographic factors on the body mass index of the children.
Methods
The study used original data of Korea National Health and Nutrition Examination Survey (2010-2011) and had 957 children in the ages of 1-5 years and 957 mothers of these children, a total 1,914 as subjects. The weights (body mass indexes) of the children, subjects under 5th percentile were classified into a underweight group, 5~84th percentile into a normal weight group, 85-94th percentile into an overweight group and more than 95th percentile into an obesity group based on the 2007 Korean children and adolescents growth chart.
Results
We observed that when the body mass index of a mother increased by 1, the possibility that her child would belong to the overweight group increased by 6.5% (95% confidence interval: 1.01~1.13), and the possibility that the child would belong to the obesity group increased by 95% (confidence interval: 1.01~1.18). With regard to the number of deficient nutrients which were ingested according to estimated average requirements (EAR) amid nutrients ingested by the mother increased by 1, the possibility that the child would belong to the obesity group increased by 16.6% (95% confidence interval: 1.01~1.35). In case the birth weight of child increased by 1kg, the odds ratio that the child would belong to the obesity group was 2.022 (95% confidence interval: 1.08~3.77).
Conclusions
We conclude that the body mass index, eating habits and nutrition status of the mother had significant effects on the body mass index of the child. Therefore, it is critical to recognize the importance of this observation and provide practical training for eating habits and nutrient intakes in order to achieve healthy growth and prevention of obesity among children.
Keywords: body mass index; child; mother; birth weight

Acknowledgments

This work was supported by the KNU research grant 2012.

REFERENCES

1. Matheson D, Spranger K, Saxe A. Preschool children's perceptions of food and their food experiences. J Nutr Educ Behav 2002; 34(2): 85-92.Article
2. Ministry of Health and Welfare. Korea Health Statistics 2013: Korea National Health and Nutrition Examination Survey [KNHANES VI-1] [internet]. 2014; cited 2015 Nov 10]. Available from: https://knhanes.cdc.go.kr/knhanes/index.do.
3. Gallagher D, Visser M, Sepulveda D, Pierson R, Harris T, Heymsfield SB. How useful is body mass index for comparison of body fatness across age, sex, and ethnic groups? Am J Epidemiol 1996; 143(3): 228-239.Article
4. Moon JS, Lee SY, Nam CM, Choi JM, Choe BK, Seo JW. 2007 Korean National Growth Charts: review of developmental process and an outlook. Korean J Pediatr 2008; 51(1): 1-25.Article
5. Garn SM, Clark DC. Trends in fatness and the origins of obesity Ad Hoc Committee to Review the Ten-State Nutrition Survey. Pediatrics 1976; 57(4): 443-456.
6. Koziel S, Kolodziej H. Birth order and BMI in teenage girls. Coll Antropol 2001; 25(2): 555-560.PubMed
7. Aull JL, Rowe DA, Hickner RC, Malinauskas BM, Mahar MT. Energy expenditure of obese, overweight, and normal weight females during lifestyle physical activities. Int J Pediatr Obes 2008; 3(3): 177-185.Article PubMed
8. Bandini LG, Schoeller DA, Cyr HN, Dietz WH. Validity of reported energy intake in obese and nonobese adolescents. Am J Clin Nutr 1990; 52(3): 421-425.Article PubMed
9. Sekine M, Yamagami T, Handa K, Saito T, Nanri S, Kawaminami K. A dose-response relationship between short sleeping hours and childhood obesity: results of the Toyama Birth Cohort Study. Child Care Health Dev 2002; 28(2): 163-170.Article PubMed PDF
10. von Kries R, Toschke AM, Wurmser H, Sauerwald T, Koletzko B. Reduced risk for overweight and obesity in 5-and 6-y-old children by duration of sleep-across-sectional study. Int J Obes Relat Metab Disord 2002; 26(5): 710-716.Article PubMed PDF
11. Gallaher MM, Hauck FR, Yang OM, Serdula MK. Obesity among Mescalero preschool children. Association with maternal obesity and birth weight. Am J Dis Child 1991; 145(11): 1262-1265.Article
12. Oken E, Taveras EM, Kleinman KP, Rich-Edwards JW, Gillman MW. Gestational weight gain and child adiposity at age 3 years. Am J Obstet Gynecol 2007; 196(4): 322.Article PMC
13. Gillman MW, Rifas-Shiman SL, Camargo CA Jr, Berkey CS, Frazier AL, Rockett HR. Risk of overweight among adolescents who were breastfed as infants. JAMA 2001; 285(19): 2461-2467.Article PubMed
14. Toschke AM, Vignerova J, Lhotska L, Osancova K, Koletzko B, von Kries R. Overweight and obesity in 6- to 14-year-old Czech children in 1991: protective effect of breastfeeding. J Pediatr 2002; 141(6): 764-769.Article PubMed
15. Li L, Parsons TJ, Power C. Breast feeding and obesity in childhood: cross sectional study. BMJ 2003; 327(7420): 904-905.Article PubMed PMC
16. Cutting TM, Fisher JO, Grimm-Thomas K, Birch LL. Like mother, like daughter: familial patterns of overweight are mediated by mothers' dietary disinhibition. Am J Clin Nutr 1999; 69(4): 608-613.Article PubMed
17. Brich LL. The role of experience in children's food acceptance patterns. J Am Diet Assoc 1987; 87:9 Suppl. S36-S40.
18. Wright DE, Radcliffe JD. Parents' perceptions of influences on food behavior development of children attending day care facilities. J Nutr Educ 1992; 24(4): 198-201.Article
19. Auld G, Boushey CJ, Bock MA, Bruhn C, Gabel K, Gustafson D. Perspectives on intake of calcium rich foods among Asian, Hispanic and white preadolescent and adolescent females. J Nutr Educ Behav 2002; 34(5): 242-251.Article PubMed
20. Korea Center for Disease Control and Prevention, The Korean Pediatric Society, The Committee for the Development of Growth Standard for Korean Children and Adolescents. 2007 Korean Children and Adolescents Growth Standard [internet]. 2007; cited 2015 Nov 10]. Available from: http://www.cdc.go.kr/cdc/.
21. Kim SM, Ko JH, Shim EJ, Lee DH, Cho DJ, Kim DH. Serum creatinine, blood urea nitrogen change in low birth weight infants during their first days of life. Korean J Perinatol 2008; 19(2): 181-189.
22. Wen CP, Cheng TYD, Tsai SP, Chan HT, Hsu HL, Hsu CC. Are Asians at greater mortality risks for being overweight than Caucasians? Redefining obesity for Asians. Public Health Nutr 2009; 12(4): 497-506.Article PubMed
23. Klesges RC, Klesges LM, Eck LH, Shelton ML. A longitudinal analysis of accelerated weight gain in preschool children. Pediatrics 1995; 95(1): 126-130.PubMed
24. Charney E, Goodman HC, McBride M, Lyon B, Pratt R. Childhood antecedents of adult obesity: Do chubby infants become obese adults? N Engl J Med 1976; 295(1): 6-9.PubMed
25. Hashimoto N, Kawasaki T, Kikuchi T, Takahashi H, Uchiyama M. Influence of parental obesity on the physical constitution of preschool children in Japan. Acta Paediatr Jpn 1995; 37(2): 150-153.PubMed
26. Kivimäki M, Lawlor DA, Smith GD, Elovainio M, Jokela M, Keltikangas-Järvinen L. Substantial intergenerational increases in body mass index are not explained by the fetal overnutrition hypothesis: the cardiovascular risk in Young Finns study. Am J Clin Nutr 2007; 86(5): 1509-1514.PubMed
27. Park JK, Ahn HS, Lee DH. Nutrient intake and eating behavior in mid and severely obese children. J Korean Soc Study Obes 1995; 4(1): 41-50.
28. Skinner JD, Carruth BR, Bounds W, Ziegler P, Reidy K. Do food-related experiences in the first 2 years of life predict dietary variety in school-aged children? J Nutr Educ Behav 2002; 34(6): 310-315.PubMed
29. Moon JY, Hahn WH, Shim KS, Chang JY, Bae CW. Changes of maternal age distribution in live births and incidence of low birth weight infants in advanced maternal age group in Korea. Korean J Perinatol 2011; 22(1): 30-36.
30. Lee JJ. Effect of women's first childbearing age on the risk of low birth weight. Korean J Pediatr 2007; 50(12): 1206-1211.
31. Kristensen S, Salihu HM, Keith LG, Kirby RS, Pass MA, Fowler KB. Impact of advanced maternal age on neonatal survival of twin small-for-gestational-age subtypes. J Obstet Gynaecol Res 2007; 33(3): 259-265.PubMed
32. Moon HK, Song BH, Chung HR. Environmental factors affection growht of preschool children in Korea: Analysis with weight-length index. J Korean Public Health Assoc 1992; 18(1): 193-205.
33. He Q, Ding ZY, Fong DYT, Karlberg J. Risk factors of obesity in preschool children in China: a population -based case- control study. Int J Obes Relat Metab Disord 2000; 24(11): 1528-1536.PubMed

Table 1

General characteristics of the children by body mass index

¹⁾BMI <5^th percentile, ²⁾BMI 5^th to less than the 85^th percentile, ³⁾BMI 85^th to less than the 95^th percentile, ⁴⁾BMI ≥95^th percentile, ⁵⁾N (%), ⁶⁾Calculated by Complex Samples χ²-test, ⁷⁾Mean±SE, ⁸⁾Calculated by Complex Samples General Linear Model

^**: p < 0.01, ^***: p < 0.001

Table 2

General characteristics of children's neonatal period by body mass index of the children

^**: p < 0.01, ^***: p < 0.001

Table 3

General characteristics of mothers by body mass index of the children

^*: p < 0.05, ^**: p < 0.01

Table 4

Dietary attitudes and mean nutrient adequacy ratio quartile of mothers by body mass index of the children

Table 5

Association between general characteristics of mothers and body mass index of the children

¹⁾BMI <5^th percentile, ²⁾BMI 85^th to less than the 95^th percentile, ³⁾BMI ≥95^th percentile ⁴⁾Calculated by Complex Samples Logistic Regression Model

Values were adjusted by age, sex, asthma and atopic dermatitis

Table 6

Association between eating habits and nutrition status of mothers and body mass index of the children

¹⁾BMI <5^th percentile, ²⁾BMI 85^th to less than the 95^th percentile, ³⁾BMI ≥95^th percentile ⁴⁾Calculated by Complex Samples Logistic Regression Model

Values were adjusted by age, sex, asthma and atopic dermatitis

Table 7

Association between body mass index of mothers, birth weight of the children, and body mass index of the children

¹⁾BMI <5^th percentile, ²⁾BMI 85^th to less than the 95^th percentile, ³⁾BMI ≥95^th percentile ⁴⁾Calculated by Complex Samples Logistic Regression Model

Values were adjusted by age, sex, asthma and atopic dermatitis

Figure & Data

REFERENCES

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Factors Related to Eating Habits and Nutrition Status of Mother Affecting on Body Mass Index of Children aged 1-5years: Data from the Fifth Korea National Health and Nutrition Examination Survey, 2010-2011

Korean J Community Nutr. 2016;21(1):102-111. Published online February 29, 2016

DOI: https://doi.org/10.5720/kjcn.2016.21.1.102

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Table 1

General characteristics of the children by body mass index

^**: p < 0.01, ^***: p < 0.001

Table 2

General characteristics of children's neonatal period by body mass index of the children

^**: p < 0.01, ^***: p < 0.001

Table 3

General characteristics of mothers by body mass index of the children

^*: p < 0.05, ^**: p < 0.01

Table 4

Dietary attitudes and mean nutrient adequacy ratio quartile of mothers by body mass index of the children

Table 5

Association between general characteristics of mothers and body mass index of the children

¹⁾BMI <5^th percentile, ²⁾BMI 85^th to less than the 95^th percentile, ³⁾BMI ≥95^th percentile ⁴⁾Calculated by Complex Samples Logistic Regression Model

Values were adjusted by age, sex, asthma and atopic dermatitis

Table 6

Association between eating habits and nutrition status of mothers and body mass index of the children

¹⁾BMI <5^th percentile, ²⁾BMI 85^th to less than the 95^th percentile, ³⁾BMI ≥95^th percentile ⁴⁾Calculated by Complex Samples Logistic Regression Model

Values were adjusted by age, sex, asthma and atopic dermatitis

Table 7

Association between body mass index of mothers, birth weight of the children, and body mass index of the children

¹⁾BMI <5^th percentile, ²⁾BMI 85^th to less than the 95^th percentile, ³⁾BMI ≥95^th percentile ⁴⁾Calculated by Complex Samples Logistic Regression Model

Values were adjusted by age, sex, asthma and atopic dermatitis

Table 1 General characteristics of the children by body mass index

^**: p < 0.01, ^***: p < 0.001

Table 2 General characteristics of children's neonatal period by body mass index of the children

^**: p < 0.01, ^***: p < 0.001

Table 3 General characteristics of mothers by body mass index of the children

^*: p < 0.05, ^**: p < 0.01

Table 4 Dietary attitudes and mean nutrient adequacy ratio quartile of mothers by body mass index of the children

Table 5 Association between general characteristics of mothers and body mass index of the children

¹⁾BMI <5^th percentile, ²⁾BMI 85^th to less than the 95^th percentile, ³⁾BMI ≥95^th percentile ⁴⁾Calculated by Complex Samples Logistic Regression Model

Values were adjusted by age, sex, asthma and atopic dermatitis

Table 6 Association between eating habits and nutrition status of mothers and body mass index of the children

¹⁾BMI <5^th percentile, ²⁾BMI 85^th to less than the 95^th percentile, ³⁾BMI ≥95^th percentile ⁴⁾Calculated by Complex Samples Logistic Regression Model

Values were adjusted by age, sex, asthma and atopic dermatitis

Table 7 Association between body mass index of mothers, birth weight of the children, and body mass index of the children

¹⁾BMI <5^th percentile, ²⁾BMI 85^th to less than the 95^th percentile, ³⁾BMI ≥95^th percentile ⁴⁾Calculated by Complex Samples Logistic Regression Model