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Published in: BMC Public Health 1/2024

Open Access 01-12-2024 | Research

Prevalence and determinants of anaemia among women of reproductive age in Aspirational Districts of India: an analysis of NFHS 4 and NFHS 5 data

Authors: Subhojit Let, Seema Tiwari, Aditya Singh, Mahashweta Chakrabarty

Published in: BMC Public Health | Issue 1/2024

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Abstract

Background

Over one-third of women worldwide suffer from anaemia. The prevalence of anaemia is particularly pronounced among women of reproductive age (WRA) in developing countries, such as India. No prior study has ever exclusively studied the prevalence of anaemia across the Aspirational Districts of India. Therefore, the purpose of this study was to examine the prevalence of anaemia across Aspirational Districts of India and to identify the determinants of anaemia among WRA in these districts.

Methods

From the National Family Health Survey (NFHS)-4 (2015-16) and NFHS-5 (2019-21), data on 114,444 and 108,782 women aged 15–49 from Aspirational Districts were analyzed in our study, respectively. Bivariate statistics and multivariable binary logistic regression were used to identify the determinants of anaemia.

Results

The national prevalence of anaemia among WRA has increased from 53% in NFHS-4 to 57% in NFHS-5 whereas anaemia among WRA in Aspirational Districts has increased from 58.7% in NFHS-4 to 61.1% in NFHS-5. Between 2015 and 2021, over 60% of Aspirational Districts experienced an increase in the prevalence of anaemia and one-fourth, specifically 29 out of 112, observed a rise by at least 10 percentage points (pp). Notably, there are significant variations in anaemia prevalence among districts, with Simdega and Udalgiri having the highest anaemia prevalence in NFHS-4 and NFHS-5 at 78.2% and 81.5%, respectively. During this period, Barpeta followed by Udalgiri of Assam have witnessed the maximum increase with 29.4% and 26.7% respectively. Moreover, pooled regression results show women with three to four children [AOR: 1.13, 95% CI: 1.08–1.17], women who breastfeed [AOR: 1.17, 95% CI: 1.13–1.20], Scheduled Tribe women [AOR: 1.39, 95% CI: 1.35–1.44], poorest women [AOR: 1.27, 95% CI: 1.22–1.33] and women those who consume fish occasionally [AOR: 1.14, 95% CI: 1.12–1.17] were more likely to be anaemic.

Conclusion

The significant increase in anaemia among WRA in Aspirational Districts of India is a matter of concern. Given the rise in anaemia among WRA, determinants-based and district-specific measures must be designed and implemented to reduce the prevalence of anaemia among Aspirational Districts of India.
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Literature
1.
go back to reference World Health Organisation. Global Nutrition Target 2025: Anaemia Policy Brief. 2014. World Health Organisation. Global Nutrition Target 2025: Anaemia Policy Brief. 2014.
3.
go back to reference Sunuwar DR, Singh DR, Pradhan PMS, Shrestha V, Rai P, Shah SK, et al. Factors associated with anemia among children in South and Southeast Asia: a multilevel analysis. BMC Public Health. 2023;23:1–17.CrossRef Sunuwar DR, Singh DR, Pradhan PMS, Shrestha V, Rai P, Shah SK, et al. Factors associated with anemia among children in South and Southeast Asia: a multilevel analysis. BMC Public Health. 2023;23:1–17.CrossRef
4.
go back to reference World Health Organization. Iron deficiency anaemia: Assessment, Prevention, and Control A guide for programme managers. 2001. World Health Organization. Iron deficiency anaemia: Assessment, Prevention, and Control A guide for programme managers. 2001.
5.
go back to reference Mog M, Neogi D, Bharadwaz MP, Panda BK, Sil A. Prevalence and factors associated with anaemia in Married Women of Reproductive age group: evidence from North East India. J Biosoc Sci. 2022;2005:425–37. Mog M, Neogi D, Bharadwaz MP, Panda BK, Sil A. Prevalence and factors associated with anaemia in Married Women of Reproductive age group: evidence from North East India. J Biosoc Sci. 2022;2005:425–37.
6.
go back to reference Bekele A, Tilahun M, Mekuria A. Prevalence of Anemia and Its Associated Factors among Pregnant Women Attending Antenatal Care in Health Institutions of Arba Minch Town, Gamo Gofa Zone, Ethiopia: A Cross-Sectional Study. Hindawi Publ Corp. 2016;2016. Bekele A, Tilahun M, Mekuria A. Prevalence of Anemia and Its Associated Factors among Pregnant Women Attending Antenatal Care in Health Institutions of Arba Minch Town, Gamo Gofa Zone, Ethiopia: A Cross-Sectional Study. Hindawi Publ Corp. 2016;2016.
7.
go back to reference Kassebaum NJ, Fleming TD, Flaxman A, Phillips DE, Steiner C, Barber RM, et al. The Global Burden of Anemia. Hematol Oncol Clin North Am. 2016;30:247–308.PubMedCrossRef Kassebaum NJ, Fleming TD, Flaxman A, Phillips DE, Steiner C, Barber RM, et al. The Global Burden of Anemia. Hematol Oncol Clin North Am. 2016;30:247–308.PubMedCrossRef
8.
go back to reference Takeshima T, Ha C, Iwasaki K. Estimation of the utilities of attributes of intravenous iron infusion treatment for patients with iron-deficiency anemia: a conjoint analysis in Japan. J Med Econ. 2023;26:84–94.PubMedCrossRef Takeshima T, Ha C, Iwasaki K. Estimation of the utilities of attributes of intravenous iron infusion treatment for patients with iron-deficiency anemia: a conjoint analysis in Japan. J Med Econ. 2023;26:84–94.PubMedCrossRef
9.
go back to reference Wieringa FT, Dahl M, Chamnan C, Poirot E, Kuong K, Sophonneary P et al. The high prevalence of anemia in Cambodian children and women cannot be satisfactorily explained by nutritional deficiencies or hemoglobin disorders. Nutrients. 2016;8. Wieringa FT, Dahl M, Chamnan C, Poirot E, Kuong K, Sophonneary P et al. The high prevalence of anemia in Cambodian children and women cannot be satisfactorily explained by nutritional deficiencies or hemoglobin disorders. Nutrients. 2016;8.
10.
go back to reference Metz J. A high prevalence of biochemical evidence of vitamin B12 or folate deficiency does not translate into a comparable prevalence of anemia. Food Nutr Bull. 2008;29(2 SUPPL):74–85.CrossRef Metz J. A high prevalence of biochemical evidence of vitamin B12 or folate deficiency does not translate into a comparable prevalence of anemia. Food Nutr Bull. 2008;29(2 SUPPL):74–85.CrossRef
11.
13.
go back to reference Dalmiya N, Kupka R, Tyler V. Aguayo. V. Maternal nutrition: Prevention of malnutrition in women before and during pregnancy and while breastfeeding. 2022. Dalmiya N, Kupka R, Tyler V. Aguayo. V. Maternal nutrition: Prevention of malnutrition in women before and during pregnancy and while breastfeeding. 2022.
14.
go back to reference World Health Organisation. The Global prevalence of Anaemia in 2011. 2015. World Health Organisation. The Global prevalence of Anaemia in 2011. 2015.
15.
go back to reference Shastri L, Mishra PE, Dwarkanath P, Thomas T, Duggan C, Bosch R, et al. Association of oral iron supplementation with birth outcomes in non-anaemic south Indian pregnant women. Eur J Clin Nutr. 2014;69:1–5. Shastri L, Mishra PE, Dwarkanath P, Thomas T, Duggan C, Bosch R, et al. Association of oral iron supplementation with birth outcomes in non-anaemic south Indian pregnant women. Eur J Clin Nutr. 2014;69:1–5.
16.
go back to reference Daru J, Zamora J, Fernández-Félix BM, Vogel J, Oladapo OT, Morisaki N, et al. Risk of maternal mortality in women with severe anaemia during pregnancy and post partum: a multilevel analysis. Lancet Glob Heal. 2018;6:e548–54.CrossRef Daru J, Zamora J, Fernández-Félix BM, Vogel J, Oladapo OT, Morisaki N, et al. Risk of maternal mortality in women with severe anaemia during pregnancy and post partum: a multilevel analysis. Lancet Glob Heal. 2018;6:e548–54.CrossRef
17.
go back to reference Goonewardene M, Shehata M, Hamad A. Anaemia in pregnancy. Best Pract Res Clin Obstet Gynaecol. 2012;26:3–24.PubMedCrossRef Goonewardene M, Shehata M, Hamad A. Anaemia in pregnancy. Best Pract Res Clin Obstet Gynaecol. 2012;26:3–24.PubMedCrossRef
18.
go back to reference Armah-Ansah EK. Determinants of anemia among women of childbearing age: analysis of the 2018 Mali demographic and health survey. Arch Public Heal. 2023;81:1–13. Armah-Ansah EK. Determinants of anemia among women of childbearing age: analysis of the 2018 Mali demographic and health survey. Arch Public Heal. 2023;81:1–13.
19.
go back to reference Black RE, Allen LH, Bhutta ZA, Caulfield LE, de Onis M, Ezzati M, et al. Maternal and child undernutrition: global and regional exposures and health consequences. Lancet. 2008;371:243–60.PubMedCrossRef Black RE, Allen LH, Bhutta ZA, Caulfield LE, de Onis M, Ezzati M, et al. Maternal and child undernutrition: global and regional exposures and health consequences. Lancet. 2008;371:243–60.PubMedCrossRef
20.
go back to reference Pivina L, Semenova Y, Doşa MD, Dauletyarova M, Bjørklund G. Iron Deficiency, cognitive functions, and Neurobehavioral disorders in Children. J Mol Neurosci. 2019;68:1–10.PubMedCrossRef Pivina L, Semenova Y, Doşa MD, Dauletyarova M, Bjørklund G. Iron Deficiency, cognitive functions, and Neurobehavioral disorders in Children. J Mol Neurosci. 2019;68:1–10.PubMedCrossRef
21.
go back to reference Moschovis PP, Wiens MO, Arlington L, Antsygina O, Hayden D, Dzik W, et al. Individual, maternal and household risk factors for anaemia among young children in sub-saharan Africa: a cross-sectional study. BMJ Open. 2018;8:1–14.CrossRef Moschovis PP, Wiens MO, Arlington L, Antsygina O, Hayden D, Dzik W, et al. Individual, maternal and household risk factors for anaemia among young children in sub-saharan Africa: a cross-sectional study. BMJ Open. 2018;8:1–14.CrossRef
22.
go back to reference Heesemann E, Mähler C, Subramanyam MA, Vollmer S. Pregnancy anaemia, child health and development: a cohort study in rural India. BMJ Open. 2021;11:1–10.CrossRef Heesemann E, Mähler C, Subramanyam MA, Vollmer S. Pregnancy anaemia, child health and development: a cohort study in rural India. BMJ Open. 2021;11:1–10.CrossRef
23.
go back to reference Halle S, Kellogg M, Sawas A, Owren C, Meijer S, Gilligan S et al. M,. Gender, Climate & Security - Sustaining inclusive peace on the frontlines of climate change. 2020. Halle S, Kellogg M, Sawas A, Owren C, Meijer S, Gilligan S et al. M,. Gender, Climate & Security - Sustaining inclusive peace on the frontlines of climate change. 2020.
24.
go back to reference United Nations Development Program. The 2030 agenda for sustainable development by United Nations. 2016. United Nations Development Program. The 2030 agenda for sustainable development by United Nations. 2016.
25.
go back to reference Ali SA, Abbasi Z, Shahid B, Moin G, Hambidge KM, Krebs NF, et al. Prevalence and determinants of anemia among women of reproductive age in Thatta Pakistan: findings from a cross-sectional study. PLoS ONE. 2020;15(9 September):1–16. Ali SA, Abbasi Z, Shahid B, Moin G, Hambidge KM, Krebs NF, et al. Prevalence and determinants of anemia among women of reproductive age in Thatta Pakistan: findings from a cross-sectional study. PLoS ONE. 2020;15(9 September):1–16.
26.
go back to reference International Institute for Population. Sciences (IIPS) and ICF. National Family Health Survey (NFHS-5), India. 2019. International Institute for Population. Sciences (IIPS) and ICF. National Family Health Survey (NFHS-5), India. 2019.
27.
go back to reference Barzegari S, Afshari M, Movahednia M, Moosazadeh M. Prevalence of anemia among patients with tuberculosis: a systematic review and meta-analysis. Indian J Tuberc. 2019;66:299–307.PubMedCrossRef Barzegari S, Afshari M, Movahednia M, Moosazadeh M. Prevalence of anemia among patients with tuberculosis: a systematic review and meta-analysis. Indian J Tuberc. 2019;66:299–307.PubMedCrossRef
28.
go back to reference Malik VS, Singh M, Pradhan P, Singal K, Agarwal A, Chauhan A, et al. Role of environmental lead in the occurrence of anemia in Indian children: a systematic review and meta-analysis. Environ Sci Pollut Res. 2022;29:37556–64.CrossRef Malik VS, Singh M, Pradhan P, Singal K, Agarwal A, Chauhan A, et al. Role of environmental lead in the occurrence of anemia in Indian children: a systematic review and meta-analysis. Environ Sci Pollut Res. 2022;29:37556–64.CrossRef
29.
go back to reference Venkatesh U, Sharma A, Ananthan VA, Subbiah P, Durga R. Micronutrient’s deficiency in India: a systematic review and meta-analysis. J Nutr Sci. 2021;10:1–11.CrossRef Venkatesh U, Sharma A, Ananthan VA, Subbiah P, Durga R. Micronutrient’s deficiency in India: a systematic review and meta-analysis. J Nutr Sci. 2021;10:1–11.CrossRef
30.
go back to reference Rao S, Joshi S, Bhide P, Puranik B, Asawari K. Dietary diversification for prevention of anaemia among women of childbearing age from rural India. Public Health Nutr. 2013;17:939–47.PubMedPubMedCentralCrossRef Rao S, Joshi S, Bhide P, Puranik B, Asawari K. Dietary diversification for prevention of anaemia among women of childbearing age from rural India. Public Health Nutr. 2013;17:939–47.PubMedPubMedCentralCrossRef
31.
go back to reference Sharif N, Das B, Alam A. Prevalence of anemia among reproductive women in different social group in India: cross-sectional study using nationally representative data. PLoS ONE. 2023;18(2 February):1–22. Sharif N, Das B, Alam A. Prevalence of anemia among reproductive women in different social group in India: cross-sectional study using nationally representative data. PLoS ONE. 2023;18(2 February):1–22.
32.
go back to reference Bentley ME, Griffiths PL. The burden of anemia among women in India. Eur J Clin Nutr. 2003;57:52–60.PubMedCrossRef Bentley ME, Griffiths PL. The burden of anemia among women in India. Eur J Clin Nutr. 2003;57:52–60.PubMedCrossRef
33.
go back to reference Mistry R, Jones AD, Pednekar MS, Dhumal G, Dasika A, Kulkarni U, et al. Antenatal tobacco use and iron deficiency anemia: integrating tobacco control into antenatal care in urban India. Reprod Health. 2018;15:1–8.CrossRef Mistry R, Jones AD, Pednekar MS, Dhumal G, Dasika A, Kulkarni U, et al. Antenatal tobacco use and iron deficiency anemia: integrating tobacco control into antenatal care in urban India. Reprod Health. 2018;15:1–8.CrossRef
34.
go back to reference NITI Aayog. Deep dive insights from champions of Change the aspirational districts dashboard. Mycol Res. 2002;106:1323–30. NITI Aayog. Deep dive insights from champions of Change the aspirational districts dashboard. Mycol Res. 2002;106:1323–30.
35.
go back to reference United Nations Development Program. Aspirational Districts Programme: An appraisal. 2020. United Nations Development Program. Aspirational Districts Programme: An appraisal. 2020.
36.
go back to reference Porter ME, Stern S, Green M, Dr Kapoor A. An assessment of aspirational districts programme. 2018. Porter ME, Stern S, Green M, Dr Kapoor A. An assessment of aspirational districts programme. 2018.
37.
go back to reference NITI Aayog. Transformation of Aspirational District A New India by 2022. 2018. NITI Aayog. Transformation of Aspirational District A New India by 2022. 2018.
38.
go back to reference Ministry of Communication and Information Technology. Transformation of aspirational districts - Baseline ranking and real time monitoring dashboard. 2018. Ministry of Communication and Information Technology. Transformation of aspirational districts - Baseline ranking and real time monitoring dashboard. 2018.
39.
go back to reference Dominic DM, Meena HR, Niranjan DA. Effectiveness of an Educational Module on Diet and Nutrition: A Farm Women Perspective from Aspirational districts. Indian J Ext Educ. 2023;59:28–31.CrossRef Dominic DM, Meena HR, Niranjan DA. Effectiveness of an Educational Module on Diet and Nutrition: A Farm Women Perspective from Aspirational districts. Indian J Ext Educ. 2023;59:28–31.CrossRef
40.
go back to reference Prasad UV, Vastrad P, Chandan N, Barvaliya MJ, Kirte R, Sabarinath R et al. A community-based study of dental fluorosis in rural children (6–12 years) from an aspirational district in Karnataka, India. Front Public Heal. 2023;11. Prasad UV, Vastrad P, Chandan N, Barvaliya MJ, Kirte R, Sabarinath R et al. A community-based study of dental fluorosis in rural children (6–12 years) from an aspirational district in Karnataka, India. Front Public Heal. 2023;11.
41.
go back to reference Singh A, Palaniyandi S, Palaniyandi A, Gupta V, Kumar PR, Mahore Rkumar, et al. A cross–sectional study to assess the utilization pattern of maternal health services and associated factors in aspirational district of Haryana, India. J Fam Med Prim Care. 2021;10:2879–85.CrossRef Singh A, Palaniyandi S, Palaniyandi A, Gupta V, Kumar PR, Mahore Rkumar, et al. A cross–sectional study to assess the utilization pattern of maternal health services and associated factors in aspirational district of Haryana, India. J Fam Med Prim Care. 2021;10:2879–85.CrossRef
42.
go back to reference Katekar VP, Deshmukh SS. Assessment of Socioeconomic Development of the Aspirational District in Central India: a methodological comparison. J Asian Afr Stud. 2022;:1–29. Katekar VP, Deshmukh SS. Assessment of Socioeconomic Development of the Aspirational District in Central India: a methodological comparison. J Asian Afr Stud. 2022;:1–29.
43.
go back to reference Kumar A, Jeeva JC, Saranga DN, Panda AK, Srivastava SK. Analysis of Socio-economic status of people in aspirational districts of Odisha for inclusive growth. J AgriSearch. 2020;7:158–62.CrossRef Kumar A, Jeeva JC, Saranga DN, Panda AK, Srivastava SK. Analysis of Socio-economic status of people in aspirational districts of Odisha for inclusive growth. J AgriSearch. 2020;7:158–62.CrossRef
44.
go back to reference International Institute for Population Sciences (IIPS). and ICF. National Family Health Survey (NFHS-4) 2015-16, India. 2015. International Institute for Population Sciences (IIPS). and ICF. National Family Health Survey (NFHS-4) 2015-16, India. 2015.
45.
go back to reference Centre for Social and Behaviour, Change AU. Stories of Change: From India’s Aspirational Districts. 2022. Centre for Social and Behaviour, Change AU. Stories of Change: From India’s Aspirational Districts. 2022.
46.
go back to reference NITI Aayog. List of 112 Aspirational Districts: NITI Aayog. 2018. NITI Aayog. List of 112 Aspirational Districts: NITI Aayog. 2018.
47.
go back to reference Jana A, Chattopadhyay A, Saha UR. Identifying risk factors in explaining women’s anaemia in limited resource areas: evidence from West Bengal of India and Bangladesh. BMC Public Health. 2022;22:1–16.CrossRef Jana A, Chattopadhyay A, Saha UR. Identifying risk factors in explaining women’s anaemia in limited resource areas: evidence from West Bengal of India and Bangladesh. BMC Public Health. 2022;22:1–16.CrossRef
48.
go back to reference Balarajan YS, Fawzi WW, Subramanian SV. Changing patterns of social inequalities in anaemia among women in India: cross-sectional study using nationally representative data. BMJ Open. 2013;3:1–11.CrossRef Balarajan YS, Fawzi WW, Subramanian SV. Changing patterns of social inequalities in anaemia among women in India: cross-sectional study using nationally representative data. BMJ Open. 2013;3:1–11.CrossRef
49.
go back to reference Nankinga O, Aguta D. Determinants of Anemia among women in Uganda: further analysis of the Uganda demographic and health surveys. BMC Public Health. 2019;19:1–9.CrossRef Nankinga O, Aguta D. Determinants of Anemia among women in Uganda: further analysis of the Uganda demographic and health surveys. BMC Public Health. 2019;19:1–9.CrossRef
50.
go back to reference Loy SL, Lim LM, Chan S-Y, Tan PT, Chee YL, Quah PL, et al. Iron status and risk factors of iron deficiency among pregnant women in Singapore: a cross-sectional study. BMC Public Health. 2019;19:397.PubMedPubMedCentralCrossRef Loy SL, Lim LM, Chan S-Y, Tan PT, Chee YL, Quah PL, et al. Iron status and risk factors of iron deficiency among pregnant women in Singapore: a cross-sectional study. BMC Public Health. 2019;19:397.PubMedPubMedCentralCrossRef
51.
go back to reference Jamnok J, Sanchaisuriya K, Sanchaisuriya P, Fucharoen G, Fucharoen S, Ahmed F. Factors associated with anaemia and iron deficiency among women of reproductive age in Northeast Thailand: a cross-sectional study. BMC Public Health. 2020;20:1–8.CrossRef Jamnok J, Sanchaisuriya K, Sanchaisuriya P, Fucharoen G, Fucharoen S, Ahmed F. Factors associated with anaemia and iron deficiency among women of reproductive age in Northeast Thailand: a cross-sectional study. BMC Public Health. 2020;20:1–8.CrossRef
52.
go back to reference Al-farsi YM, Brooks DR, Werler MM, Cabral HJ, Al-shafei MA. Effect of high parity on occurrence of anemia in pregnancy: a cohort study. BMC Pregnancy Childbirth. 2011;11:1471–2393.CrossRef Al-farsi YM, Brooks DR, Werler MM, Cabral HJ, Al-shafei MA. Effect of high parity on occurrence of anemia in pregnancy: a cohort study. BMC Pregnancy Childbirth. 2011;11:1471–2393.CrossRef
53.
go back to reference Gautam S, Min H, Kim H, Jeong H. Determining factors for the prevalence of anemia in women of reproductive age in Nepal: evidence from recent national survey data. PLoS ONE. 2019;:1–17. Gautam S, Min H, Kim H, Jeong H. Determining factors for the prevalence of anemia in women of reproductive age in Nepal: evidence from recent national survey data. PLoS ONE. 2019;:1–17.
54.
go back to reference Black RE, Victora CG, Walker SP, Bhutta ZA, Christian P, De Onis M, et al. Maternal and child undernutrition and overweight in low-income and middle-income countries. Lancet. 2013;382:427–51.PubMedCrossRef Black RE, Victora CG, Walker SP, Bhutta ZA, Christian P, De Onis M, et al. Maternal and child undernutrition and overweight in low-income and middle-income countries. Lancet. 2013;382:427–51.PubMedCrossRef
55.
go back to reference Williams PA, Poehlman J, Moran K, Siddiqui M, Kataria I, Rego AM, et al. Strategies to address anaemia among pregnant and lactating women in India: a formative research study. Public Health Nutr. 2020;23:795–805.PubMedPubMedCentralCrossRef Williams PA, Poehlman J, Moran K, Siddiqui M, Kataria I, Rego AM, et al. Strategies to address anaemia among pregnant and lactating women in India: a formative research study. Public Health Nutr. 2020;23:795–805.PubMedPubMedCentralCrossRef
56.
go back to reference Guddattu BSP. Understanding the change in the prevalence and factors influencing the Childhood Stunting using District-Level Data from NFHS-4 and NFHS-5 in India. Inq J Heal Care Organ Provision Financ. 2022;59:1–10. Guddattu BSP. Understanding the change in the prevalence and factors influencing the Childhood Stunting using District-Level Data from NFHS-4 and NFHS-5 in India. Inq J Heal Care Organ Provision Financ. 2022;59:1–10.
57.
go back to reference Singh A, Let S, Tiwari S, Chakrabarty M. Spatiotemporal variations and determinants of overweight/obesity among women of reproductive age in urban India during 2005–2021. BMC Public Health. 2023;23:1–19.CrossRef Singh A, Let S, Tiwari S, Chakrabarty M. Spatiotemporal variations and determinants of overweight/obesity among women of reproductive age in urban India during 2005–2021. BMC Public Health. 2023;23:1–19.CrossRef
59.
go back to reference Chen Y-T, Chen MC. Using Chi Square statistics to measure similarities for text categorization. Expert Syst Appl. 2011;38:3085–90.CrossRef Chen Y-T, Chen MC. Using Chi Square statistics to measure similarities for text categorization. Expert Syst Appl. 2011;38:3085–90.CrossRef
60.
go back to reference Mertler CA, Vannatta RA, LaVenia KN. Binary logistic regression. Advanced and Multivariate Statistical methods. New York: Routledge; 2015. pp. 219–74. Mertler CA, Vannatta RA, LaVenia KN. Binary logistic regression. Advanced and Multivariate Statistical methods. New York: Routledge; 2015. pp. 219–74.
61.
go back to reference Chakrabarty M, Singh A, Singh S, Chowdhury S. Is the burden of anaemia among Indian adolescent women increasing? Evidence from Indian demographic and health surveys (2015–21). PLOS Glob Public Heal. 2023;3:e0002117.CrossRef Chakrabarty M, Singh A, Singh S, Chowdhury S. Is the burden of anaemia among Indian adolescent women increasing? Evidence from Indian demographic and health surveys (2015–21). PLOS Glob Public Heal. 2023;3:e0002117.CrossRef
62.
go back to reference Midi H, Sarkar SK, Rana S. Collinearity diagnostics of binary logistic regression model. J Interdiscip Math. 2010;13:253–67.CrossRef Midi H, Sarkar SK, Rana S. Collinearity diagnostics of binary logistic regression model. J Interdiscip Math. 2010;13:253–67.CrossRef
63.
go back to reference Hemmert GAJ, Schons LM, Wieseke J, Schimmelpfennig H. Log-likelihood-based Pseudo-R2 in logistic regression: deriving sample-sensitive benchmarks. Sociol Methods Res. 2018;47:507–31.MathSciNetCrossRef Hemmert GAJ, Schons LM, Wieseke J, Schimmelpfennig H. Log-likelihood-based Pseudo-R2 in logistic regression: deriving sample-sensitive benchmarks. Sociol Methods Res. 2018;47:507–31.MathSciNetCrossRef
64.
go back to reference Hosmer DW, Lemesbow S. Goodness of fit tests for the multiple logistic regression model, Communications in Statistics - Theory and Methods. 2007. p. 1043–69. Hosmer DW, Lemesbow S. Goodness of fit tests for the multiple logistic regression model, Communications in Statistics - Theory and Methods. 2007. p. 1043–69.
66.
go back to reference StataCorp LLC. Stata Release 17: Statistical Software. StataCorp; 2021. StataCorp LLC. Stata Release 17: Statistical Software. StataCorp; 2021.
67.
go back to reference Bharati S, Pal M, Sen S, Bharati P. Malnutrition and anaemia among adult women in India. J Biosoc Sci. 2019;51:1–11.CrossRef Bharati S, Pal M, Sen S, Bharati P. Malnutrition and anaemia among adult women in India. J Biosoc Sci. 2019;51:1–11.CrossRef
68.
go back to reference Abu-Baker NN, Eyadat AM, Khamaiseh AM. The impact of nutrition education on knowledge, attitude, and practice regarding iron deficiency anemia among female adolescent students in Jordan. Heliyon. 2021;7:e06348.PubMedPubMedCentralCrossRef Abu-Baker NN, Eyadat AM, Khamaiseh AM. The impact of nutrition education on knowledge, attitude, and practice regarding iron deficiency anemia among female adolescent students in Jordan. Heliyon. 2021;7:e06348.PubMedPubMedCentralCrossRef
69.
go back to reference Abate TW, Getahun B, Birhan MM, Aknaw GM, Belay SA, Demeke D, et al. The urban–rural differential in the association between household wealth index and anemia among women in reproductive age in Ethiopia, 2016. BMC Womens Health. 2021;21:1–8.CrossRef Abate TW, Getahun B, Birhan MM, Aknaw GM, Belay SA, Demeke D, et al. The urban–rural differential in the association between household wealth index and anemia among women in reproductive age in Ethiopia, 2016. BMC Womens Health. 2021;21:1–8.CrossRef
70.
go back to reference Desta M, Akibu M, Tadese M, Tesfaye M. Dietary diversity and Associated Factors among pregnant women attending Antenatal Clinic in Shashemane, Oromia, Central Ethiopia: a cross-sectional study. J Nutr Metab. 2019;2019:7–10.CrossRef Desta M, Akibu M, Tadese M, Tesfaye M. Dietary diversity and Associated Factors among pregnant women attending Antenatal Clinic in Shashemane, Oromia, Central Ethiopia: a cross-sectional study. J Nutr Metab. 2019;2019:7–10.CrossRef
71.
go back to reference Dean WR, Sharkey JR. Rural and urban differences in the associations between characteristics of the community food environment and fruit and vegetable intake. J Nutr Educ Behav. 2011;43:426–33.PubMedPubMedCentralCrossRef Dean WR, Sharkey JR. Rural and urban differences in the associations between characteristics of the community food environment and fruit and vegetable intake. J Nutr Educ Behav. 2011;43:426–33.PubMedPubMedCentralCrossRef
72.
go back to reference Hossain M, Islam Z, Sultana S, Rahman AS, Hotz C, Haque A, et al. Effectiveness of Workplace Nutrition Programs on Anemia Status among female readymade. Nutrients. 2019;11:1–23.CrossRef Hossain M, Islam Z, Sultana S, Rahman AS, Hotz C, Haque A, et al. Effectiveness of Workplace Nutrition Programs on Anemia Status among female readymade. Nutrients. 2019;11:1–23.CrossRef
73.
go back to reference Awoleye AF, Alawode OA, Chima V, Okunlola DA, Obiesie S. Rural-urban differentials in the relationship between household wealth index and maternal anaemia status in Nigeria. Health Care Women Int. 2022;:1–17. Awoleye AF, Alawode OA, Chima V, Okunlola DA, Obiesie S. Rural-urban differentials in the relationship between household wealth index and maternal anaemia status in Nigeria. Health Care Women Int. 2022;:1–17.
74.
go back to reference Liou L, Kim R, Subramanian SV. Identifying geospatial patterns in wealth disparity in child malnutrition across 640 districts in India. SSM - Popul Heal. 2020;10:1–10. Liou L, Kim R, Subramanian SV. Identifying geospatial patterns in wealth disparity in child malnutrition across 640 districts in India. SSM - Popul Heal. 2020;10:1–10.
75.
go back to reference Sharma H, Singh SK, Srivastava S. Socio-economic inequality and spatial heterogeneity in anaemia among children in India: evidence from NFHS-4 (2015–16). Clin Epidemiol Glob Heal. 2020;8:1158–71.CrossRef Sharma H, Singh SK, Srivastava S. Socio-economic inequality and spatial heterogeneity in anaemia among children in India: evidence from NFHS-4 (2015–16). Clin Epidemiol Glob Heal. 2020;8:1158–71.CrossRef
76.
go back to reference Sharma H, Singh SK, Srivastava S. Major Correlates of Anemia among women (Age 15–49) in India and spatial variation, evidence from National Family Health Survey-4. J Women’s Heal Care. 2018;07:1–13. Sharma H, Singh SK, Srivastava S. Major Correlates of Anemia among women (Age 15–49) in India and spatial variation, evidence from National Family Health Survey-4. J Women’s Heal Care. 2018;07:1–13.
77.
go back to reference Dewey KG, Cohen RJ, Brown KH, Rivera LL. Effects of exclusive breastfeeding for four versus six months on maternal nutritional status and infant motor development: results of two randomized trials in Honduras. J Nutr. 2001;131:262–7.PubMedCrossRef Dewey KG, Cohen RJ, Brown KH, Rivera LL. Effects of exclusive breastfeeding for four versus six months on maternal nutritional status and infant motor development: results of two randomized trials in Honduras. J Nutr. 2001;131:262–7.PubMedCrossRef
78.
go back to reference Chauhan S, Kumar P, Marbaniang SP, Srivastava S, Patel R. Prevalence and predictors of anaemia among adolescents in Bihar and Uttar Pradesh, India. Sci Rep. 2022;12:1–9.CrossRef Chauhan S, Kumar P, Marbaniang SP, Srivastava S, Patel R. Prevalence and predictors of anaemia among adolescents in Bihar and Uttar Pradesh, India. Sci Rep. 2022;12:1–9.CrossRef
79.
go back to reference Perumal V. Reproductive risk factors assessment for anaemia among pregnant women in India using a multinomial logistic regression model. Trop Med Int Health. 2014;19:841–51.PubMedCrossRef Perumal V. Reproductive risk factors assessment for anaemia among pregnant women in India using a multinomial logistic regression model. Trop Med Int Health. 2014;19:841–51.PubMedCrossRef
80.
go back to reference Teshale AB, Tesema GA, Worku MG, Yeshaw Y, Tessema ZT. Anemia and its associated factors among women of reproductive age in eastern Africa: a multilevel mixed-effects generalized linear model. PLoS ONE. 2020;15(9 September):1–16. Teshale AB, Tesema GA, Worku MG, Yeshaw Y, Tessema ZT. Anemia and its associated factors among women of reproductive age in eastern Africa: a multilevel mixed-effects generalized linear model. PLoS ONE. 2020;15(9 September):1–16.
81.
go back to reference Liyew AM, Teshale AB. Individual and community level factors associated with anemia among lactating mothers in Ethiopia using data from Ethiopian demographic and health survey, 2016; a multilevel analysis. BMC Public Health. 2020;20:1–11.CrossRef Liyew AM, Teshale AB. Individual and community level factors associated with anemia among lactating mothers in Ethiopia using data from Ethiopian demographic and health survey, 2016; a multilevel analysis. BMC Public Health. 2020;20:1–11.CrossRef
82.
go back to reference Kamath R, Majeed J, Chandrasekaran V, Pattanshetty S. Prevalence of anemia among tribal women of reproductive age in Udupi Taluk, Karnataka. J Fam Med Prim Care. 2013;2:345.CrossRef Kamath R, Majeed J, Chandrasekaran V, Pattanshetty S. Prevalence of anemia among tribal women of reproductive age in Udupi Taluk, Karnataka. J Fam Med Prim Care. 2013;2:345.CrossRef
83.
go back to reference Rohisha IK, Jose TT, Chakrabarty J. Prevalence of anemia among tribal women. J Fam Med Prim Care. 2019;6:145–7.CrossRef Rohisha IK, Jose TT, Chakrabarty J. Prevalence of anemia among tribal women. J Fam Med Prim Care. 2019;6:145–7.CrossRef
84.
go back to reference Vart P, Jaglan A, Shafique K. Caste-based social inequalities and childhood anemia in India: results from the National Family Health Survey (NFHS) 2005–2006 Chronic Disease epidemiology. BMC Public Health. 2015;15:1–8.CrossRef Vart P, Jaglan A, Shafique K. Caste-based social inequalities and childhood anemia in India: results from the National Family Health Survey (NFHS) 2005–2006 Chronic Disease epidemiology. BMC Public Health. 2015;15:1–8.CrossRef
85.
go back to reference De M, Halder A, Podder S, Sen R, Chakrabarty S, Sengupta B, et al. Anemia and hemoglobinopathies in tribal population of Eastern and North-eastern India. Hematology. 2006;11:371–3.PubMedCrossRef De M, Halder A, Podder S, Sen R, Chakrabarty S, Sengupta B, et al. Anemia and hemoglobinopathies in tribal population of Eastern and North-eastern India. Hematology. 2006;11:371–3.PubMedCrossRef
86.
go back to reference Tong TYN, Key TJ, Gaitskell K, Green TJ, Guo W, Sanders TA, et al. Hematological parameters and prevalence of anemia in white and British Indian vegetarians and nonvegetarians in the UK Biobank. Am J Clin Nutr. 2019;110:461–72.PubMedPubMedCentralCrossRef Tong TYN, Key TJ, Gaitskell K, Green TJ, Guo W, Sanders TA, et al. Hematological parameters and prevalence of anemia in white and British Indian vegetarians and nonvegetarians in the UK Biobank. Am J Clin Nutr. 2019;110:461–72.PubMedPubMedCentralCrossRef
87.
go back to reference Imai E, Nakade M. Fish and meat intakes and prevalence of anemia among the Japanese elderly. Asia Pac J Clin Nutr. 2019. Imai E, Nakade M. Fish and meat intakes and prevalence of anemia among the Japanese elderly. Asia Pac J Clin Nutr. 2019.
88.
go back to reference Rammohan A, Awofeso N, Robitaille M-C. Addressing Female Iron-Deficiency Anaemia in India: is Vegetarianism the Major obstacle? ISRN Public Health. 2012;2012:1–8.CrossRef Rammohan A, Awofeso N, Robitaille M-C. Addressing Female Iron-Deficiency Anaemia in India: is Vegetarianism the Major obstacle? ISRN Public Health. 2012;2012:1–8.CrossRef
89.
go back to reference Vargas-Ruiz AG, Hernández-Rivera G, Herrera MF. Prevalence of iron, folate, and vitamin B12 deficiency anemia after laparoscopic Roux-en-Y gastric bypass. Obes Surg. 2008;18:288–93.PubMedCrossRef Vargas-Ruiz AG, Hernández-Rivera G, Herrera MF. Prevalence of iron, folate, and vitamin B12 deficiency anemia after laparoscopic Roux-en-Y gastric bypass. Obes Surg. 2008;18:288–93.PubMedCrossRef
90.
go back to reference Bharati P, Som S, Chakrabarty S, Bharti S, Pal M. Prevalence of Anemia and its determinants among nonpregnant and pregnant women in India. Asia-Pacific J Public Heal. 2008;20:347–59.CrossRef Bharati P, Som S, Chakrabarty S, Bharti S, Pal M. Prevalence of Anemia and its determinants among nonpregnant and pregnant women in India. Asia-Pacific J Public Heal. 2008;20:347–59.CrossRef
91.
go back to reference Win HH, Ko MK. Geographical disparities and determinants of anaemia among women of reproductive age in Myanmar: analysis of the 2015–2016 Myanmar demographic and Health Survey. WHO South-East Asia J Public Heal. 2018;7:107–13.CrossRef Win HH, Ko MK. Geographical disparities and determinants of anaemia among women of reproductive age in Myanmar: analysis of the 2015–2016 Myanmar demographic and Health Survey. WHO South-East Asia J Public Heal. 2018;7:107–13.CrossRef
92.
go back to reference Varghese JS, Stein AD. Malnutrition among women and children in India: limited evidence of clustering of underweight, anemia, overweight, and stunting within individuals and households at both state and district levels. Am J Clin Nutr. 2019;109:1207–15.PubMedCrossRef Varghese JS, Stein AD. Malnutrition among women and children in India: limited evidence of clustering of underweight, anemia, overweight, and stunting within individuals and households at both state and district levels. Am J Clin Nutr. 2019;109:1207–15.PubMedCrossRef
93.
go back to reference Rahman MS, Mushfiquee M, Masud MS, Howlader T. Association between malnutrition and anemia in under-five children and women of reproductive age: evidence from Bangladesh demographic and Health Survey 2011. PLoS ONE. 2019;14:1–18.CrossRef Rahman MS, Mushfiquee M, Masud MS, Howlader T. Association between malnutrition and anemia in under-five children and women of reproductive age: evidence from Bangladesh demographic and Health Survey 2011. PLoS ONE. 2019;14:1–18.CrossRef
94.
go back to reference Ministry of women and child development. Natl Nutr Policy. 1993. Ministry of women and child development. Natl Nutr Policy. 1993.
96.
go back to reference Weekly Iron Folic Acid Supplementation(WIFS): National Health Mission.388. Accessed 7 Mar 2023. Weekly Iron Folic Acid Supplementation(WIFS): National Health Mission.388. Accessed 7 Mar 2023.
97.
go back to reference Ms Gupta A, Dr Kumar R, Dr Singh Salhotra V, Ms Mohan A, Dr Rahi S. Guidelines for Control of Iron Deficiency Anaemia. 2013. Ms Gupta A, Dr Kumar R, Dr Singh Salhotra V, Ms Mohan A, Dr Rahi S. Guidelines for Control of Iron Deficiency Anaemia. 2013.
98.
go back to reference Ahmad K, Singh J, Singh RA, Saxena A, Varghese M, Ghosh S, et al. Public health supply chain for iron and folic acid supplementation in India: Status, bottlenecks and an agenda for corrective action under Anemia Mukt Bharat strategy. PLoS ONE. 2023;18(2 February):1–18. Ahmad K, Singh J, Singh RA, Saxena A, Varghese M, Ghosh S, et al. Public health supply chain for iron and folic acid supplementation in India: Status, bottlenecks and an agenda for corrective action under Anemia Mukt Bharat strategy. PLoS ONE. 2023;18(2 February):1–18.
Metadata
Title
Prevalence and determinants of anaemia among women of reproductive age in Aspirational Districts of India: an analysis of NFHS 4 and NFHS 5 data
Authors
Subhojit Let
Seema Tiwari
Aditya Singh
Mahashweta Chakrabarty
Publication date
01-12-2024
Publisher
BioMed Central
Published in
BMC Public Health / Issue 1/2024
Electronic ISSN: 1471-2458
DOI
https://doi.org/10.1186/s12889-024-17789-3

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