Predictors of the number of under-five malnourished children in Bangladesh: application of the generalized poisson regression model

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• 作者：Mohammad Mafijul Islam (1) (2)
  Morshed Alam (1)
  Md Tariquzaman (3)
  Mohammad Alamgir Kabir (1) (4)
  Rokhsona Pervin (5)
  Munni Begum (6)
  Md Mobarak Hossain Khan (7)
  
• 关键词：Malnutrition ; Under ; five children ; Predictors ; Generalized Poisson regression model ; Bangladesh
• 刊名：BMC Public Health
• 出版年：2013
• 出版时间：December 2013
• 年：2013
• 卷：13
• 期：1
• 全文大小：213KB
• 参考文献：1. Haughton D, Haughton J: Explaining child nutrition in Vietnam. / Econ Dev Cult Change 1997,45(3):541-56. CrossRef
  2. Collins S, Dent N, Binns P, Bahwere P, Sadler K, Hallam A: Management of severe acute malnutrition in children. / Lancet 2006,368(9551):1992-000. CrossRef
  3. Pongou R, Ezzati M, Salomon JA: Household and community socioeconomic and environmental determinants of child nutritional status in Cameroon. / BMC Publ Health 2006, 6:98. CrossRef
  4. Black RE, Allen LH, Bhutta ZA, Caulfield LE, de Onis M, Ezzati M, Mathers C, Rivera J: Maternal and child undernutrition: global and regional exposures and health consequences. / Lancet 2008,371(9608):243-0. CrossRef
  5. Faruque ASG, Ahmed AMS, Ahmed T, Islam MM, Hossain MI, Roy SK, Alam N, Kabir I, Sack DA: Nutrition: basis for healthy children and mothers in Bangladesh. / J Health Popul Nutr 2008,26(3):325-39.
  6. Ahmed T, Ahmed AM: Reducing the burden of malnutrition in Bangladesh. / BMJ 2009,339(b4490):1060.
  7. Mohsena M, Mascie-Taylor CGN, Goto R: Association between socio-economic status and childhood undernutrition in Bangladesh; a comparison of possession score and poverty index. / Publ Health Nutr 2010,13(10):1498-504. CrossRef
  8. Jesmin A, Yamamoto SS, Malik AA, Haque MA: Prevalence and determinants of chronic malnutrition among preschool children: a cross-sectional study in Dhaka city, Bangladesh. / J Health Popul Nutr 2011,29(5):494-99. CrossRef
  9. Singer PA, Ansett S, Sagoe-Moses I: What could infant and young child nutrition learn from sweatshops? / BMC Publ Health 2011, 11:276. CrossRef
  10. Abuya BA, Ciera JM, Kimani-Murage E: Effect of mother's education on child's nutritional status in the slums of Nairobi. / BMC Pediatr 2012, 12:80. CrossRef
  11. Ahmed T, Mahfuz M, Ireen S, Ahmed AMS, Rahman S, Islam MM, Alam N, Hossain MI, Rahman SMM, Ali MM, Choudhury FP, Cravioto A: Nutrition of children and women in Bangladesh: trends and directions for the future. / J Health Popul Nutr 2012,30(1):1-1.
  12. Khan MMH, Kraemer A, Khandoker A, Pruefer-Kr?mer L, Islam A: Trends in sociodemographic and health-related indicators in Bangladesh, 1993-007: will inequities persist? / Bull World Health Organ 2011,89(8):583-92. CrossRef
  13. Deolalikar AB: Poverty and child malnutrition in Bangladesh. / J Deve Soc 2005,21(1-):55-0. CrossRef
  14. Das S, Hossain MZ, Islam MA: Predictors of child chronic malnutrition in Bangladesh. / Proc Pakistan Acad Sci 2008,45(3):137-55.
  15. Smith LC, Haddad L: / Explaining child malnutrition in developing countries: a cross country analysis. FCND Discussion Paper No. 60. Washington, DC: International Food Policy Research Institute (IFPRI); 1999.
  16. Khanam R, Nghiem HS, Rahman MM: The impact of childhood malnutrition on schooling: evidence from Bangladesh. / J Biosoc Sci 2011,43(4):437-51. CrossRef
  17. Gabriele A, Schettino F: / Child malnutrition and mortality in developing countries: evidence from a cross-country analysis. Munich: MPRA paper no.3132; 2007.
  18. Hien NN, Kam S: Nutritional status and the characteristics related to malnutrition in children under five years of age in Nghean, Vietnam. / J Prev Med Publ Health 2008,41(4):232-40. CrossRef
  19. Ojiako IA, Manyong VM, Ikpi AE: Determinants of nutritional status of preschool children from rural households in Kaduna and Kano states, Nigeria. / Pakistan J Nutr 2009,8(9):1497-505. CrossRef
  20. Martin LG, Trussell J, Salvail FR, Shah NM: Covariates of child mortality in the Philippines, Indonesia, and Pakistan: an analysis based on hazard models. / Popul Stud 1983,37(3):417-32.
  21. Desai S, Alva S: Maternal education and child health: is there a strong causal relationship? / Demography 1998,35(1):71-1. CrossRef
  22. Doak C, Adair L, Bentley M, Fengying Z, Popkin B: The underweight/overweight household: an exploration of household socio-demographic and dietary factors in China. / Publ Health Nutr 2002,5(1A):215-21.
  23. Armstrong J, Dorosty AR, Reilly JJ, Team CHI, Emmett PM: Coexistence of social inequalities in undernutrition and obesity in preschool children: population based cross sectional study. / Arch Dis Child 2003,88(8):671-75. CrossRef
  24. Thang NM, Popkin BM: In an era of economic growth, is inequity holding back reduction in child malnutrition in Vietnam? / Asian Pac J Clin Nutr 2003,12(4):405-10.
  25. Zere E, McIntyre D: Inequities in under-five child malnutrition in South Africa. / Int J Equity Health 2003,2(1):7. CrossRef
  26. Giashuddin MS, Kabir M, Hasan M: Economic disparity and child nutrition in Bangladesh. / Indian J Pediatr 2005,72(6):481-87. CrossRef
  27. Mashal T, Takano T, Nakamura K, Kizuki M, Hemat S, Watanabe M, Seino K: Factors associated with the health and nutritional status of children under 5 years of age in Afghanistan: family behavior related to women and past experience of war-related hardships. / BMC Publ Health 2008, 8:301. CrossRef
  28. Siddiqi MNA, Haque MN, Goni MA: Malnutrition of under-five children: evidence from Bangladesh. / Asian J Med Sci 2011, 2:113-19. CrossRef
  29. Wamani H, Tylleskar T, Astrom AN, Tumwine JK, Peterson S: Mothers' education but not fathers' education, household assets or land ownership is the best predictor of child health inequalities in rural Uganda. / Int J Equity Health 2004, 3:9. CrossRef
  30. Fotso J-C: Urban–rural differentials in child malnutrition: trends and socioeconomic correlates in sub-Saharan Africa. / Health Place 2007, 13:205-23. CrossRef
  31. Roy NC: Use of mid-upper arm circumference for evaluation of nutritional status of children and for identification of high-risk groups for malnutrition in rural Bangladesh. / J Health Popul Nutr 2000,18(3):171-80.
  32. Chatters LM: Religion and health: public health research and practice. / Annu Rev Publ Health 2000, 21:335-67. CrossRef
  33. Murray CJ, Lopez AD: Global mortality, disability, and the contribution of risk factors: global burden of disease study. / Lancet 1997,349(9063):1436-442. CrossRef
  34. Mueller O, Garenne M, Kouyate B, Becher H: The association between protein-energy malnutrition, Malaria morbidity and all-cause mortality in west African children. / Trop Med Inter Health 2003,8(6):507-11. CrossRef
  35. Winkelmann R, Zimmermann KF: Count data models for demographic data. / Math Popul Stud 1994,48(3):205-21. CrossRef
  36. Wang W, Famoye F: Modeling household fertility decisions with generalized poisson regression. / J Popul Econ 1997, 10:273-83. CrossRef
  37. Famoye F, Wulu JT Jr, Singh KP: On the generalized Poisson regression model with an application to accident data. / J Data Sci 2004, 2:287-95.
  38. Xie F-C, Wei B-C: Influence analysis for count data based on generalized poisson regression models. / Statistics 2010,44(4):341-60. CrossRef
  39. National Institute of Population Research and Training (NIPORT), Mitra and Associates, and Macro International: / Bangladesh demographic and health survey 2007. Dhaka, Bangladesh and Maryland, USA: NIPORT, Mitra and Associates, and Macro International; 2009.
  40. Waterlow JC, Buzina R, Keller W, Lane JM, Nichaman MZ, Tanner JM: The presentation and use of height and weight data for comparing the nutritional status of groups of children under the age of 10 years. / Bull World Health Organ 1977,55(4):489-98.
  41. Bhagowalia P, Chen SE, Masters WA: Effects and determinants of mild underweight among preschool children across countries and over time. / Econ Hum Biol 2011,9(1):66-7. CrossRef
  42. Consul PC, Jain GC: A generalization of the poisson distribution. / Technometrics 1973,15(4):791-99. CrossRef
  43. Shoukri MM: / Estimation problems for some generalized discrete distributions. Ph.D. thesis. Calgary: University of Calgary; 1980.
  44. Rayhan MI, Khan MSH: Factors causing malnutrition among under five children in Bangladesh. / Pakistan J Nutr 2006,5(6):558-62. CrossRef
  45. Hong R: Effect of economic inequality on chronic childhood undernutrition in Ghana. / Publ Health Nutr 2007,10(4):371-78. CrossRef
  46. Khan MMH, Kabir A, Khandoker A, Kabir M: Inequalities in fertility and mortality related indicators among ever married women in Bangladesh. / J Stat Stud 2011, 30:15-6.
  47. Frost MB, Forste R, Haas DW: Maternal education and child nutritional status in Bolivia: finding the links. / Soc Sci Med 2005,60(2):395-07. CrossRef
  48. Hobcraft JN: Women’s education, child welfare and child survival: a review of the evidence. / Health Trans Rev 1993,3(2):159-73.
  49. Frongillo EA Jr, De Onis M, Hanson KMP: Socioeconomic and demographic factors are associated with worldwide patterns of stunting and wasting of children. / J Nutr 1997,127(12):2302-309.
  50. Larrea C, Kawachi I: Does economic inequality affect child malnutrition? the case of Ecuador. / Soc Sci Med 2005,60(1):165-78. CrossRef
  51. Ross NA, Wolfson MC, Dunn JR, Berthelot J-M, Kaplan GA, Lynch JW: Relation between income inequality and mortality in Canada and in the United States: cross sectional assessment using census data and vital statistics. / BMJ 2000, 320:898-02. CrossRef
  52. The pre-publication history for this paper can be accessed here:http://www.biomedcentral.com/1471-2458/13/11/prepub
  
• 作者单位：Mohammad Mafijul Islam (1) (2)
  Morshed Alam (1)
  Md Tariquzaman (3)
  Mohammad Alamgir Kabir (1) (4)
  Rokhsona Pervin (5)
  Munni Begum (6)
  Md Mobarak Hossain Khan (7)
  
  1. Department of Statistics, Jahangirnagar University, Savar, Dhaka, -1342, Bangladesh
  2. Department of Mathematics & Statistics, Bowling Green State University, Bowling Green, OH, 43402, USA
  3. Probationary Senior Officer, Pubali Bank Ltd, Dhaka, Bangladesh
  4. Department of Applied Statistics, University of Malaya, Kuala Lumpur, Malaysia
  5. Department of Agricultural Statistics, Sher-e Bangla Nagar Agricultural University, Sher-e Bangla Nagar, Dhaka, -1207, Bangladesh
  6. Department of Mathematical Sciences, Ball State University, Muncie, IN, 47306, USA
  7. Department of Public Health Medicine, School of Public Health, University of Bielefeld, Bielefeld, Germany
  
• ISSN：1471-2458

文摘

Background Malnutrition is one of the principal causes of child mortality in developing countries including Bangladesh. According to our knowledge, most of the available studies, that addressed the issue of malnutrition among under-five children, considered the categorical (dichotomous/polychotomous) outcome variables and applied logistic regression (binary/multinomial) to find their predictors. In this study malnutrition variable (i.e. outcome) is defined as the number of under-five malnourished children in a family, which is a non-negative count variable. The purposes of the study are (i) to demonstrate the applicability of the generalized Poisson regression (GPR) model as an alternative of other statistical methods and (ii) to find some predictors of this outcome variable. Methods The data is extracted from the Bangladesh Demographic and Health Survey (BDHS) 2007. Briefly, this survey employs a nationally representative sample which is based on a two-stage stratified sample of households. A total of 4,460 under-five children is analysed using various statistical techniques namely Chi-square test and GPR model. Results The GPR model (as compared to the standard Poisson regression and negative Binomial regression) is found to be justified to study the above-mentioned outcome variable because of its under-dispersion (variance < mean) property. Our study also identify several significant predictors of the outcome variable namely mother’s education, father’s education, wealth index, sanitation status, source of drinking water, and total number of children ever born to a woman. Conclusions Consistencies of our findings in light of many other studies suggest that the GPR model is an ideal alternative of other statistical models to analyse the number of under-five malnourished children in a family. Strategies based on significant predictors may improve the nutritional status of children in Bangladesh.