Volume 26, Issue 7 (Oct 2018)
JSSU 2018, 26(7): 565-575 |
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Shafie F, Salari-moghaddam A, Haji-hashemi P, Basirat R, Salehi-Abargouie A, Larijani M B et al . Socioeconomic status in relation to childhood general and central obesity in primary school children in the city of Farokh Shahr in 2009. JSSU 2018; 26 (7) :565-575
URL: http://jssu.ssu.ac.ir/article-1-4306-en.html
URL: http://jssu.ssu.ac.ir/article-1-4306-en.html
Fateme Shafie 
, Asma Salari-moghaddam , Parisa Haji-hashemi , Reyhane Basirat , Amin Salehi-Abargouie , Mohammad bagher Larijani , Ahmad Esmaillzade *
, Asma Salari-moghaddam , Parisa Haji-hashemi , Reyhane Basirat , Amin Salehi-Abargouie , Mohammad bagher Larijani , Ahmad Esmaillzade *
Abstract: (3597 Views)
Introdution: Since limited data are available in regard of the association between socioeconomic status (SES) and obesity among children, our aim was to examine the association between SES and obesity among children.
Methods: This cross-sectional study was done in Farokh Shahr among children aged 6-12y in 2009. 380 students were recruited through multi-stage cluster random sampling method from different districts. SES was defined through the questionnaire and participants were classified in to tertiles. Overweight/obesity and abdominal obesity were defined based on age- and sex-specific national cut-off points. Comparison of continuous and categorical variables was conducted by using independent samples’ t-test and Chi-square test, respectively. Binary logistic regression analysis was used to assess SES in relation to general and abdominal obesity in uni- and several multi-variable adjusted models. All statistical analyses were done using the Statistical Package for Social Sciences (SPSS, version 15.0). P values less than 0.05 were considered as statistically significant.
Results: Comparing individuals in the highest versus lowest tertile of SES, there was no significant difference in waist circumference mean, but those in the middle tertile of SES had greater means of BMI after controlling for potential confounders (16.19±0.27 vs. 15.27±0.27 kg/m2, P= 0.002). We observed a greater chance of being overweight/obese for those in the highest tertile of SES compared with the lowest tertile (OR: 4.00, 95% CI: 1.53-10.59, Ptrend=0.004). No significant association was seen between SES and abdominal adiposity, either before or after controlling for potential confounders.
Conclusion: We found that children in the highest SES class had a greater chance of being overweight/obese than those in the lowest SES class.
Methods: This cross-sectional study was done in Farokh Shahr among children aged 6-12y in 2009. 380 students were recruited through multi-stage cluster random sampling method from different districts. SES was defined through the questionnaire and participants were classified in to tertiles. Overweight/obesity and abdominal obesity were defined based on age- and sex-specific national cut-off points. Comparison of continuous and categorical variables was conducted by using independent samples’ t-test and Chi-square test, respectively. Binary logistic regression analysis was used to assess SES in relation to general and abdominal obesity in uni- and several multi-variable adjusted models. All statistical analyses were done using the Statistical Package for Social Sciences (SPSS, version 15.0). P values less than 0.05 were considered as statistically significant.
Results: Comparing individuals in the highest versus lowest tertile of SES, there was no significant difference in waist circumference mean, but those in the middle tertile of SES had greater means of BMI after controlling for potential confounders (16.19±0.27 vs. 15.27±0.27 kg/m2, P= 0.002). We observed a greater chance of being overweight/obese for those in the highest tertile of SES compared with the lowest tertile (OR: 4.00, 95% CI: 1.53-10.59, Ptrend=0.004). No significant association was seen between SES and abdominal adiposity, either before or after controlling for potential confounders.
Conclusion: We found that children in the highest SES class had a greater chance of being overweight/obese than those in the lowest SES class.
Type of Study: Original article |
Subject:
Nutrition
Received: 2017/08/26 | Accepted: 2017/11/4 | Published: 2018/12/23
Received: 2017/08/26 | Accepted: 2017/11/4 | Published: 2018/12/23
References
1. 1- Flegal KM, Tabak CJ, Ogden CL. Overweight in children: definitions and interpretations. Health Educ. Res 2006; 21(6): 755-60.
2. 2- Lakshman R, Elks CE, Ong KK. Childhood obesity. Circulation 2012; 126(14): 1770-79.
3. 3- Hills AP, Mokhtar N, Brownie S, Byrne NM. Childhood obesity in Asia: the value of accurate body composition methodology. Asia Pac J Clin Nutr 2014; 23(3): 339-43.
4. 4- Kelishadi R, Ardalan G, Gheiratmand R, Majdzadeh R, Hosseini M, Gouya MM, et al. Caspian study groups. Thinness, overweight and obesity in a national sample of Iranian children and adolescents: CASPIAN study. Child Care Health Dev 2008; 34: 44-54.
5. 5- Patton GC, Coffey C, Carlin JB, Sawyer SM, Williams J, Olsson CA, et al. Overweight and obesity between adolescence and young adulthood: A 10-year prospective cohort study. J Adolesc Health 2011; 48(3): 275-80.
6. 6- Oliveira AM, Oliveira AC, Almeida MS, Oliveira N, Adan L. Influence of the family nucleus on obesity in children from northeastern Brazil: a cross-sectional study. BMC Public Health 2007; 7: 235.
7. 7- Singh GK, Kogan MD, Van Dyck PC, Siahpush M. Racial/ethnic, socioeconomic, and behavioral determinants of childhood and adolescent obesity in the United States: analyzing independent and joint associations. Ann Epidemiol 2008; 18(9): 682-95.
8. 8- Langnäse K, Mast M, Müller MJ. Social class differences in overweight of prepubertal children in northwest Germany. Int J Obes Relat Metab Disord 2002; 26(4): 566-72.
9. 9- Danielzik S, Czerwinski-Mast M, Langnäse K, Dilba B, Müller MJ. Parental overweight, socioeconomic status and high birth weight are the major determinants of overweight and obesity in 5–7 y-old children: baseline data of the Kiel Obesity Prevention Study (KOPS). Int J Obes Relat Metab Disord 2004; 28(11): 1494-502.
10. 10- Noh JW, Kim YE, Oh IH, Kwon YD. Influences of socioeconomic factors on childhood and adolescent overweight by gender in Korea: cross-sectional analysis of nationally representative sample. BMC Public Health 2014; 14: 324.
11. 11- Azarbayjani MA, Tojari F, Habibnejad M. The relation between obesity, physical activity and socioeconomic status among girl student living in Tehran. Feyz, Kaums 2011; 15(2): 132-138. [Persian]
12. 12- Kalantari N, Shenavar R, Rashidkhani B, Houshiar Rad A, Nasihatkon A, Abdollahzadeh M. Association of overweight and obesity in first-year primary school children in Shiraz with breastfeeding pattern, birth weight, and family socio-economic status in school year 2008-09. Iranian Journal of Nutrition Sciences & Food Technology. 2010; 5 (3) :19-28. [Persian]
13. 13- Ji CY, Cheng TO. Prevalence and geographic distribution of childhood obesity in China in 2005. Int J Cardiol 2008; 131: 1-8.
14. 14- Juila M, van Weissenbruch MM, de Waal HA, Surjono A. Influence of socioeconomic status on the prevalence of stunted growth and obesity in prepubertal Indonesian children. Food Nutr Bull 2004; 25(4): 354-60.
15. 15- Zhang YX, Wang SR. Rural-urban comparison in prevalence of overweight and obesity among adolescents in S handing, China. Ann Hum Biol 2013; 40(3): 294-7.
16. 16- Laxmaiah A, Nagalla B, Vijayaraghavan K, Nair M. Factors affecting prevalence of overweight among 12- to 17-year-old urban adolescents in Hyderabad, India. Obesity (Silver Spring) 2007; 15(6): 1384-90.
17. 17- Mushtaq MU, Gull S, Abdullah HM, Shahid U, Shad MA, Akram J. Prevalence and socioeconomic correlates of overweight and obesity among Pakistani primary school children. BMC Public Health 2011; 11(1): 724.
18. 18- De Onis M, Onyango AW, Borghi E, Siyam A, Nishida C, Siekmann J. Development of a WHO growth reference for school-aged children and adolescents. Bulletin of the World Health Organization 2007; 85(9): 660-7.
19. 19- Kelishadi R, Gouya MM, Ardalan G, Hosseini M, Motaghian M, Delavari A, et al. First reference curves of waist and hip circumferences in an Asian population of youths: CASPIAN study. J trop pediatr 2007; 53(3): 158-64.
20. 20- Hajihashemi P, Azadbakht L, Hashemipor M, Kelishadi R, Esmaillzadeh A. Whole-grain intake favorably affects markers of systemic inflammation in obese children: a randomized controlled crossover clinical trial. Mol Nutr Food Res 2014; 58(6): 1301-8.
21. 21- Whitaker RC, Wright JA, Pepe MS, Seidel KD, Dietz WH. Predicting obesity in young adulthood from childhood and parental obesity. N Engl J Med 1997; 337: 869-73.
22. 22- Tang HK, Dibley MJ, Sibbritt D, Tran HM. Gender and socio-economic differences in BMI of secondary high school students in Ho Chi Minh city. Asia Pac J Clin Nutr 2007; 16(1): 74-83.
23. 23- McDonald CM, Baylin A, Arsenault JE, Mora-Plazas M, Villamor E. Overweight is more prevalent than stunting and is associated with socioeconomic status, maternal obesity, and a snacking dietary pattern in school children from Bogota, Colombia. J Nutr 2009; 139(2): 370-6.
24. 24- Laxmaiah A, Nagalla B, Vijayaraghavan K, Nair M. Factors affecting prevalence of overweight among 12- to 17-year-old urban adolescents in Hyderabad, India. Obesity (Silver Spring) 2007; 15(6): 1384-90.
25. 25- Wickramasinghe VP, Lamabadusuriya SP, Atapattu N, Sathyadas G, Kuruparanantha S, Karunarathne P. Nutritional status of schoolchildren in an urban area of Sri Lanka. Ceylon Med J 2004; 49(4): 114-8.
26. 26- Maddah M, Nikooyeh B. Obesity among Iranian adolescent girls: location of residence and parental obesity. J Health Popul Nutr 2010; 28: 61-6.
27. 27- Kotian MS, S GK, Kotian SS. Prevalence and determinants of overweight and obesity among adolescent school children of South karnataka, India. Indian J Community Med 2010; 35: 176-8.
28. 28- Friedman LS, Lukyanova EM, Serdiuk A, Shkiryak-Nizhnyk ZA, Chislovska NV, Zvinchuk AV, et al. Social-environmental factors associated with elevated body mass index in a Ukrainian cohort of children. Int J Pediatr Obes 2009; 4(2): 81-90.
29. 29- Mocanu V. Prevalence of overweight and obesity in urban elementary school children in northeastern Romania: its relationship with socioeconomic status and associated dietary and lifestyle factors. Biomed Res Int. 2013; 2013: 537451.
30. 30- Dinsa GD, Goryakin Y, Fumagalli E, Suhrcke M. Obesity and socioeconomic status in developing countries: a systematic review. Obes Rev 2012; 13(11): 1067-79.
31. 31- Noh JW, Kim YE, Park J, Oh IH, Kwon YD. Impact of parental socioeconomic status on childhood and adolescent overweight and underweight in Korea. J Epidemiol 2014; 24(3): 221-9.
32. 32- You J, Choo J. Adolescent Overweight and Obesity: Links to Socioeconomic Status and Fruit and Vegetable Intakes. Int J Environ Res Public Health 2016; 13(3).
33. 33- Kimani-Murage EW, Kahn K, Pettifor JM, Tollman SM, Klipstein-Grobusch K, Norris SA. Predictors of adolescent weight status and central obesity in rural South Africa. Public Health Nutr 2011; 14(6): 1114-22.
34. 34- Gurzkowska B, Kulaga Z, Litwin M, Grajda A, Swiader A, Kulaga K, et al. The relationship between selected socioeconomic factors and basic anthropometrics parameters of school-aged children and adolescents in Poland. Eur J Pediatr 2014; 173(1): 45-52.
35. 35- Chao CY, Shih CC, Wang CJ, Wu JS, Lu FH, Chang CJ, et al. Low socioeconomic status may increase the risk of central obesity in incoming university students in Taiwan. Obes Res Clin Prac 2014; 8(3): 201-98
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