Search Advanced

AIMS Public Health

2018, Volume 5, Issue 3: 203-216. doi: 10.3934/publichealth.2018.3.203
Previous Article Next Article
Research article

The prevalence of malnutrition based on anthropometry among primary schoolchildren in Binh Dinh province, Vietnam in 2016

  • 1.
    Binh Dinh Medical College, Vietnam
  • 2.
    Quy Nhon University, Vietnam
  • Received: 26 March 2018 Accepted: 18 June 2018 Published: 26 June 2018

  • Objective: The study was conducted to determine the prevalence of malnutrition based on anthropometry among primary schoolchildren in Binh Dinh province, Vietnam. Material and Methods: This was a school-based cross-sectional survey using random sample technique with multistage process. Variables in malnutrition were classifed as thinness, stunting, underweight, overweight, and obesity based on z-scores according to the World Health Organization (WHO) (2007). Anthropometric measurements were taken according to WHO’s standard procedures. The Chi-square test was used to compare prevalences and the Chi-square test for trend was employed to assess the trend of the prevalence of malnutrition forms by age. Results: 6,514 pupils from 6 to 10 years old including 3,298 males and 3,216 females were observed. The prevalence of thinness, stunting, underweight, overweight and obesity among schoolchildren accounted for 11.19%, 6.16%, 10.79%, and 30.1%, respectively. The prevalence of underweight and that of overweight-obesity of all pupils at the age of 6 were 13.1% and 32.11%, respectively, and tended to decrease to age 10 (p < 0.01). The prevalence of thin and stunted pupils had little sign of change over ages (p > 0.05). There was a statistically significant difference in the prevalence of malnutrition in three areas of Binh Dinh (p < 0.05), in which the highest prevalence of undernutrition was in mountainous area and midland, and the highest prevalence of overweight-obesity was in urban areas. Conclusion: The prevalence of malnutrition of primary schoolchildren in Binh Dinh was relatively high, in which the prevalence of overweight-obesity was rather high in urban areas and the prevalence of undernutrition was pretty high in mountainous area and midland. This study has characterized an important public health challenge, highlighting the need for attention to potential interventions.

    Citation: Truong Quang Dat, Le Nguyen Huong Giang, Nguyen Thi Tuong Loan, Vo Van Toan. The prevalence of malnutrition based on anthropometry among primary schoolchildren in Binh Dinh province, Vietnam in 2016[J]. AIMS Public Health, 2018, 5(3): 203-216. doi: 10.3934/publichealth.2018.3.203

    Related Papers:

    [1] Longxing Qi, Shoujing Tian, Jing-an Cui, Tianping Wang . Multiple infection leads to backward bifurcation for a schistosomiasis model. Mathematical Biosciences and Engineering, 2019, 16(2): 701-712. doi: 10.3934/mbe.2019033
    [2] Yingke Li, Zhidong Teng, Shigui Ruan, Mingtao Li, Xiaomei Feng . A mathematical model for the seasonal transmission of schistosomiasis in the lake and marshland regions of China. Mathematical Biosciences and Engineering, 2017, 14(5&6): 1279-1299. doi: 10.3934/mbe.2017066
    [3] Chunhua Shan, Hongjun Gao, Huaiping Zhu . Dynamics of a delay Schistosomiasis model in snail infections. Mathematical Biosciences and Engineering, 2011, 8(4): 1099-1115. doi: 10.3934/mbe.2011.8.1099
    [4] Conrad Ratchford, Jin Wang . Multi-scale modeling of cholera dynamics in a spatially heterogeneous environment. Mathematical Biosciences and Engineering, 2020, 17(2): 948-974. doi: 10.3934/mbe.2020051
    [5] Kazeem Oare Okosun, Robert Smith? . Optimal control analysis of malaria-schistosomiasis co-infection dynamics. Mathematical Biosciences and Engineering, 2017, 14(2): 377-405. doi: 10.3934/mbe.2017024
    [6] Wahyudin Nur, Trisilowati, Agus Suryanto, Wuryansari Muharini Kusumawinahyu . Schistosomiasis model with treatment, habitat modification and biological control. Mathematical Biosciences and Engineering, 2022, 19(12): 13799-13828. doi: 10.3934/mbe.2022643
    [7] Maghnia Hamou Maamar, Matthias Ehrhardt, Louiza Tabharit . A nonstandard finite difference scheme for a time-fractional model of Zika virus transmission. Mathematical Biosciences and Engineering, 2024, 21(1): 924-962. doi: 10.3934/mbe.2024039
    [8] Long-xing Qi, Yanwu Tang, Shou-jing Tian . Parameter estimation of modeling schistosomiasis transmission for four provinces in China. Mathematical Biosciences and Engineering, 2019, 16(2): 1005-1020. doi: 10.3934/mbe.2019047
    [9] Yuyi Xue, Yanni Xiao . Analysis of a multiscale HIV-1 model coupling within-host viral dynamics and between-host transmission dynamics. Mathematical Biosciences and Engineering, 2020, 17(6): 6720-6736. doi: 10.3934/mbe.2020350
    [10] Xinli Hu, Wenjie Qin, Marco Tosato . Complexity dynamics and simulations in a discrete switching ecosystem induced by an intermittent threshold control strategy. Mathematical Biosciences and Engineering, 2020, 17(3): 2164-2178. doi: 10.3934/mbe.2020115
  • Objective: The study was conducted to determine the prevalence of malnutrition based on anthropometry among primary schoolchildren in Binh Dinh province, Vietnam. Material and Methods: This was a school-based cross-sectional survey using random sample technique with multistage process. Variables in malnutrition were classifed as thinness, stunting, underweight, overweight, and obesity based on z-scores according to the World Health Organization (WHO) (2007). Anthropometric measurements were taken according to WHO’s standard procedures. The Chi-square test was used to compare prevalences and the Chi-square test for trend was employed to assess the trend of the prevalence of malnutrition forms by age. Results: 6,514 pupils from 6 to 10 years old including 3,298 males and 3,216 females were observed. The prevalence of thinness, stunting, underweight, overweight and obesity among schoolchildren accounted for 11.19%, 6.16%, 10.79%, and 30.1%, respectively. The prevalence of underweight and that of overweight-obesity of all pupils at the age of 6 were 13.1% and 32.11%, respectively, and tended to decrease to age 10 (p < 0.01). The prevalence of thin and stunted pupils had little sign of change over ages (p > 0.05). There was a statistically significant difference in the prevalence of malnutrition in three areas of Binh Dinh (p < 0.05), in which the highest prevalence of undernutrition was in mountainous area and midland, and the highest prevalence of overweight-obesity was in urban areas. Conclusion: The prevalence of malnutrition of primary schoolchildren in Binh Dinh was relatively high, in which the prevalence of overweight-obesity was rather high in urban areas and the prevalence of undernutrition was pretty high in mountainous area and midland. This study has characterized an important public health challenge, highlighting the need for attention to potential interventions.


    [1] WHO (2017) Malnutrition, Fact sheet, Updated May 2017. Available from: http://www.who.int/mediacentre/factsheets/malnutrition/en/.
    [2] De Onis M (2015) World Heath Organization Reference Curves. In: M.L. Frelut (Ed.), The ECOG's eBook on Child and Adolescent Obesity.
    [3] WHO (2017) The double burden of malnutrition. Policy brief. Geneva: World Heath Organization, 2017.
    [4] International Food Policy Research Institute (2016) Global Nutrition Report 2016: From Promise to Impact: Ending Malnutrition by 2030. Washington, DC.
    [5] Black RE, Victora CG, Walker SP, et al. (2013) Maternal and child undernutrition and overweight in low-income and middle-income countries. Lancet 382: 427–451. doi: 10.1016/S0140-6736(13)60937-X
    [6] de Onis M, Blössner M, Borghi E, et al. (2010) Global prevalence and trends of overweight and obesityamong preschool children. Am J Clin Nutr Nov 92: 1257–1264. doi: 10.3945/ajcn.2010.29786
    [7] Tzioumis E, Adair LS (2014) Childhood dual burden of under-and overnutrition in low-and middle-income countries: A critical review. Food Nutr Bull 35: 230–243. doi: 10.1177/156482651403500210
    [8] Vietnam Ministry of Health and Health Partnership Group (2016) Joint annual health review 2015. Medical Publishing House, Ha Noi, 15–16.
    [9] National Institute of nutrition-Ministry of health-United nations children's FUND (2012) Summary report general nutrition survey 2009–2010. Ha Noi, 2.
    [10] Martins VJ, Toledo Florêncio TM, Grillo LP, et al. (2011) Long-Lasting Effects of Undernutrition. Int J Environ Res Public Health 8: 1817–1846. doi: 10.3390/ijerph8061817
    [11] Djalalinia S, Qorbani M, Peykari N, et al. (2015) Health impacts of Obesity. Pak J Med Sci 31: 239–242.
    [12] Le NBK et al. (2016) Study on the relationship between the nutritional status and IQ among Vietnamese primary schoolchildren. J Food Nutr Sci 12: 53–60.
    [13] Soliman A, De Sanctis V, Elalaily R (2014) Nutrition and pubertal development. Indian J Endocrinol Metab 18: S39–47.
    [14] Best C, Neufingerl N, van Geel L, et al. (2010) The nutritional status of school-aged children: Why should we care? Food Nutr Bull 31: 400–417. doi: 10.1177/156482651003100303
    [15] Bui TMT, Chu TTH, Nguyen TQ, et al. (2016) Status and related factors to overweight and obesity in pupils, Thinh Quang primary school, Dong Da district, Hanoi, 2015. Vietnam J Prev Med 2: 124–128.
    [16] Tran TMH, Vu QH, Pham NO, et al. (2012) Nutritional status of primary school children. J Food Nutr Sci 8: 39–45.
    [17] Le Nguyen BK, Le Thi H, Nguyen Do VA, et al. (2013) Double burden of undernutrition and overnutrition in Vietnam in2011: results of the SEANUTS study in 0.5-11-year-old children. Br J Nutr 110: S45–56.
    [18] Binh Dinh Statistics Office (2013) Binh Dinh Statistical Yearbook 2012, Statistical publishing house 2013.
    [19] Tran ĐT, Pham VN, Pham NK (2013) Commenting on the nutritional status of children by anthropometric indices among Primary Schools at Tien Hai District, Thai Binh Province. J Pract Med 5: 155–157.
    [20] Campbell MJ, Swinsco TDV (2009) Statistics at square one, 11th ed. John Wiley & Sons Ltd, The Atrium, Southern Gate, Chichester, West Sussex, PO19 8SQ, UK, 86–95.
    [21] Mesfin F et al. (2015) Prevalence and associated factors of stunting among primary schoolchildren in Eastern Ethiopia. Nut Diet Suppl: 7: 61–68.
    [22] Daboné C, Delisle H, Receveur O (2011) Poor nutritional status of schoolchildren in urban and peri-urban areas of Ouagadougou (Burkina Faso). Nutr J 10:34. doi: 10.1186/1475-2891-10-34
    [23] Mushtaq M, Gull S, Khurshid U, et al. (2011) Prevalence and socio-demographic correlates of stunting and thinness among Pakistan primary school children. BMC Public Health 11: 790. doi: 10.1186/1471-2458-11-790
    [24] Saffar AJ (2009) Stunting among primary-school children: a sample from Baghdad, Iraq. East Mediterr Health J 15: 322–329. doi: 10.26719/2009.15.2.322
    [25] Nguyen QD, Nguyen TH (2017) Malnutrition among primary school children and related factors in some communes, Van Giang district, Hung Yen province. Vietnam J Prev Med 27: 50–56.
    [26] Vuong TA, Mai TL, Nguyen TBH, et al. (2010) Nutrition status and its related factors in primary children from 6 to 11 years old at Kim Dong primary school, Tay Ninh province, 2009. City Ho Chi Minh J Med 14: 306–310.
    [27] Kelishadi R (2007) Childhood overweight, obesity, and the metabolic syndrome in developing countries. Epidemiol Rev 29: 62–76. doi: 10.1093/epirev/mxm003
    [28] Truong TM, Le TH, Nguyen TL, et al. (2013) Prevalence of overweight, obesity and hyperlipidemia among children 4–9 yearsold at some schools in Hoan Kiem district, Hanoi. J Food Nutr Sci 9: 3.
    [29] Do TND, Nguyen TD, Tran QC, et al. (2011) Epidemiology of overweight and obesity in grade-schoolers in district 10, Ho Chi Minh city in the school year 2008–2009. J Ho Chi Minh City Med Assoc 11: 3–6.
    [30] Nguyen TTH, Nguyen TTH (2015) Research on primary pupils' physical health in Thu Dau Mot city, Binh Duong province. J Thu Dau Mot Univ 5: 43–50.
    [31] Nguyen DH (2013) The risk factors of overweight and obesity status of school children at two primary schools in Dong Anh district in Hanoi city. J Med Res 82: 159–166.
    [32] Hoang DH, Dan TLH (2015) Situation of overweight, obsesity of primary school pupiles in Hanoi 2013. Vietnam J Prev Med 4: 40–46.
    [33] Herrador Z, Sordo L, Gadisa E, et al. (2014) Cross-Sectional Study of Malnutrition and Associated Factors among School Aged Children in Rural and Urban Settings of Fogera and Libo Kemkem Districts, Ethiopia. PLoS One 9: e105880. doi: 10.1371/journal.pone.0105880
    [34] Manyanga T, EI-Sayed H, Doku DT, et al. (2014) The prevalence of underweight, overweight, obesity and associated risk factors among school-going adolescents in seven African countries. BMC Public Health 14: 887. doi: 10.1186/1471-2458-14-887
    [35] Abdullah A (2015) The Double Burden of Undernutrition and Overnutrition in Developing Countries: an Update. Curr Obes Rep 4: 337–349. doi: 10.1007/s13679-015-0170-y
    [36] Le DT, Le TH, Le NBK, et al. (2016) Is there a changing trend in malnutrition? J Food Nutr Sci 12: 7–12.

  • This article has been cited by:

    1. Chunxiao Ding, Yun Sun, Yuanguo Zhu, A schistosomiasis compartment model with incubation and its optimal control, 2017, 40, 01704214, 5079, 10.1002/mma.4372
    2. Chunxiao Ding, Nana Tao, Yun Sun, Yuanguo Zhu, The effect of time delays on transmission dynamics of schistosomiasis, 2016, 91, 09600779, 360, 10.1016/j.chaos.2016.06.017
    3. Chunxiao Ding, Wenjian Liu, Yun Sun, Yuanguo Zhu, A delayed Schistosomiasis transmission model and its dynamics, 2019, 118, 09600779, 18, 10.1016/j.chaos.2018.11.005
    4. Tailei Zhang, Xiao-Qiang Zhao, Mathematical Modeling for Schistosomiasis with Seasonal Influence: A Case Study in Hubei, China, 2020, 19, 1536-0040, 1438, 10.1137/19M1280259
    5. M. A. Aziz-Alaoui, Jean M.-S. Lubuma, Berge Tsanou, Prevalence-based modeling approach of schistosomiasis: global stability analysis and integrated control assessment, 2021, 40, 2238-3603, 10.1007/s40314-021-01414-9
    6. François M. Castonguay, Susanne H. Sokolow, Giulio A. De Leo, James N. Sanchirico, Cost-effectiveness of combining drug and environmental treatments for environmentally transmitted diseases, 2020, 287, 0962-8452, 20200966, 10.1098/rspb.2020.0966
    7. Chunxiao Ding, Yun Sun, Yuanguo Zhu, A NN-Based Hybrid Intelligent Algorithm for a Discrete Nonlinear Uncertain Optimal Control Problem, 2017, 45, 1370-4621, 457, 10.1007/s11063-016-9536-8
    8. Xi-Chao Duan, I Hyo Jung, Xue-Zhi Li, Maia Martcheva, Dynamics and optimal control of an age-structured SIRVS epidemic model, 2020, 43, 01704214, 4239, 10.1002/mma.6190
    9. Zhipeng Qiu, Xuerui Wei, Chunhua Shan, Huaiping Zhu, Monotone dynamics and global behaviors of a West Nile virus model with mosquito demographics, 2020, 80, 0303-6812, 809, 10.1007/s00285-019-01442-4
    10. Tao Feng, Zhipeng Qiu, Yi Song, Global analysis of a vector-host epidemic model in stochastic environments, 2019, 356, 00160032, 2885, 10.1016/j.jfranklin.2019.01.033
    11. Yujiang Liu, Shujing Gao, Zhenzhen Liao, Di Chen, Dynamical behavior of a stage-structured Huanglongbing model with time delays and optimal control, 2022, 156, 09600779, 111830, 10.1016/j.chaos.2022.111830
    12. S. KADALEKA, S. ABELMAN, P. M. MWAMTOBE, J. M. TCHUENCHE, OPTIMAL CONTROL ANALYSIS OF A HUMAN–BOVINE SCHISTOSOMIASIS MODEL, 2021, 29, 0218-3390, 1, 10.1142/S0218339021500017
    13. Linghui Yu, Zhipeng Qiu, Ting Guo, Modeling the effect of activation of CD4$^+$ T cells on HIV dynamics, 2022, 27, 1531-3492, 4491, 10.3934/dcdsb.2021238
    14. Chinwendu E. Madubueze, Z. Chazuka, I. O. Onwubuya, F. Fatmawati, C. W. Chukwu, On the mathematical modeling of schistosomiasis transmission dynamics with heterogeneous intermediate host, 2022, 8, 2297-4687, 10.3389/fams.2022.1020161
    15. Lei Shi, Longxing Qi, Dynamic analysis and optimal control of a class of SISP respiratory diseases, 2022, 16, 1751-3758, 64, 10.1080/17513758.2022.2027529
    16. Wei Wang, Robert Bergquist, Charles H. King, Kun Yang, Joanne P. Webster, Elimination of schistosomiasis in China: Current status and future prospects, 2021, 15, 1935-2735, e0009578, 10.1371/journal.pntd.0009578
    17. Liming Cai, Peixia Yue, Mini Ghosh, Xuezhi Li, Assessing the impact of agrochemicals on schistosomiasis transmission: A mathematical study, 2021, 14, 1793-5245, 10.1142/S1793524521500492
    18. Solomon Kadaleka, Shirley Abelman, Jean M. Tchuenche, A Human-Bovine Schistosomiasis Mathematical Model with Treatment and Mollusciciding, 2021, 69, 0001-5342, 511, 10.1007/s10441-021-09416-0
    19. Tailei Zhang, Xiao-Qiang Zhao, A multi-host schistosomiasis model with seasonality and time-dependent delays, 2023, 28, 1531-3492, 2927, 10.3934/dcdsb.2022198
    20. Xinjie Hao, Lin Hu, Linfei Nie, Stability and Global Hopf Bifurcation Analysis of a Schistosomiasis Transmission Model with Multi-Delays, 2025, 35, 0218-1274, 10.1142/S0218127425500397
    21. Lele Fan, Zhipeng Qiu, Qi Deng, Ting Guo, Libin Rong, Modeling SARS-CoV-2 Infection Dynamics: Insights into Viral Clearance and Immune Synergy, 2025, 87, 0092-8240, 10.1007/s11538-025-01442-0
    22. Yan Zhao, Qi Deng, Zhipeng Qiu, Ting Guo, Shigui Ruan, Modeling the Interaction of Cytotoxic T-Lymphocytes and Oncolytic Viruses in a Tumor Microenvironment, 2025, 85, 0036-1399, 983, 10.1137/23M1613608
    23. Chang-Yuan Cheng, Feng-Bin Wang, A nonlocal reaction-diffusion system modeling the Schistosomiasis transmission with multiple hosts and periodic delays, 2025, 91, 0303-6812, 10.1007/s00285-025-02238-5
  • Reader Comments
  • © 2018 the Author(s), licensee AIMS Press. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0)
通讯作者: 陈斌, bchen63@163.com
  • 1. 

    沈阳化工大学材料科学与工程学院 沈阳 110142

  1. 本站搜索
  2. 百度学术搜索
  3. 万方数据库搜索
  4. CNKI搜索
AIMS Public Health
2.7 5.3

Metrics

Article views(5727) PDF downloads(833) Cited by(6)

Preview PDF
Download XML
Export Citation
Article outline
Abstract
References

Figures and Tables

Figures(3)  /  Tables(3)

Other Articles By Authors

Related pages

Tools

Copyright © AIMS Press

/

DownLoad:  Full-Size Img  PowerPoint
Return
Return

Catalog