The relationship between nutritional status and preconceptional anemia in premarital women: A cecondary data analysis

Authors

  • Winarsih Nur Ambarwati School of Nursing, Faculty Health Science, Muhammadiyah University of Surakarta
  • Faiza Arvianabilla School of Nursing, Faculty Health Science, Muhammadiyah University of Surakarta
  • Rohani Mamat Faculty of Medicine and Health Science, University Malaysia Sabah, Malaysia

DOI:

https://doi.org/10.31101/jhtam.4510
Abstract views 98 times

Keywords:

Premarital Women, Anemia, Nutritional status

Abstract

Background: Anemia is a major public health issue in Indonesia, contributing to pregnancy complications and adverse maternal and infant outcomes. However, limited research has explored preconceptional anemia among premarital women. Objective: To determine the prevalence of anemia and to examine its relationship with nutritional status among premarital women. Methods: This cross-sectional study used secondary data from premarital health examinations conducted at a Community Health Center in Sukoharjo Regency, Central Java, throughout 2023. Six hundred women were included.  The data were processed using descriptive statistics and the Chi-square test. Results: The prevalence of anemia among premarital women was 24.3%, which was higher than the national prevalence of 22.3%. Most participants were 20-35 years old and had normal body mass index (BMI). The highest prevalence of anemia occurred among women with normal BMI (30.4%), followed by underweight (27.3%) and overweight (17.3%). Statistical analysis indicated a significant association between nutritional status and anemia (p = 0.011). Conclusion: Nutritional status significantly affects anemia risk among premarital women. Normal BMI does not always reflect adequate micronutrient intake. Strengthening preconception services through routine anemia screening, iron folic acid supplementation, and nutrition education is crucial to improve maternal health outcomes.

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References

Alshwaiyat, N. M., Ahmad, A., Hassan, W. M. R. W., & Al-Jamal, H. A. N. (2021). Association between obesity and iron deficiency (Review). Experimental and Therapeutic Medicine, 22(5). https://doi.org/10.3892/etm.2021.10703

Ambarwati, W. N. (2024). Exploring the concept and nature of premarital preconception care in Indonesia: A qualitative comparative case study design [Thesis]. University of Leeds United Kingdom.

Channar, H. B., Islam, M. U., Halepoto, A., Rahimon, M., Abbasi, W. A., & Ali, Q. (2023). Anemia Association with Socio -Demographic and Dietary Related Factors among Women of Childbearing Age: A Review Article. Journal of Health and Rehabilitation Research, 3(2), 1078–1084. https://doi.org/10.61919/jhrr.v3i2.256

Enggardany, R., Yovita Hendrati, L., & Hairi, N. N. (2021). Relationship between Body Mass Index (BMI) and Anemia Among Adolescent Indonesian Girls (Analysis of The Indonesia Family Life Survey 5th Data). Amerta Nutr, 347–352. https://doi.org/10.20473/amnt.v5i4.2021

Fachruddin, I. I., & Pratiwi, H. (2024). Double Burden of Malnutrition Among Women of Reproductive Age and Its Associated Factors In Makassar District. Media Gizi Indonesia, 19(2), 172–179. https://doi.org/10.20473/mgi.v19i2.172-179

Garcia-Casal, M. N., Dary, O., Jefferds, M. E., & Pasricha, S. R. (2023). Diagnosing anemia: Challenges selecting methods, addressing underlying causes, and implementing actions at the public health level. In Annals of the New York Academy of Sciences (Vol. 1524, Issue 1, pp. 37–50). John Wiley and Sons Inc. https://doi.org/10.1111/nyas.14996

Hess, S. Y., Owais, A., Jefferds, M. E. D., Young, M. F., Cahill, A., & Rogers, L. M. (2023). Accelerating action to reduce anemia: Review of causes and risk factors and related data needs. In Annals of the New York Academy of Sciences (Vol. 1523, Issue 1, pp. 11–23). John Wiley and Sons Inc. https://doi.org/10.1111/nyas.14985

Krishnan, V., Zaki, R. A., Nahar, A. M., Jalaludin, M. Y., & Majid, H. A. (2021). The longitudinal relationship between nutritional status and anaemia among Malaysian adolescents. The Lancet Regional Health - Western Pacific, 15. https://doi.org/10.1016/j.lanwpc.2021.100228

Kusdalinah, Suryani, D., Nugroho, A., & Yunita. (2023). Effect of Combination Intake of Protein, Vitamin C, And Blood Boost Tablets on Hemoglobin Levels of Adolescent Girls. National Nutrition Journal, The 2nd Bengkulu International Conference on Health (B-ICON 2022) 2023.18(1SP): 21–26. https://doi.org/10.20473/mgi.v18i1SP

Marginean, C. M., Pirscoveanu, D., Popescu, M., Docea, A. O., Radu, A., Popescu, A. I. S., Vasile, C. M., Mitrut, R., Marginean, I. C., Iacob, G. A., Firu, D. M., & Mitrut, P. (2023). Diagnostic Approach and Pathophysiological Mechanisms of Anemia in Chronic Liver Disease—An Overview. In Gastroenterology Insights (Vol. 14, Issue 3, pp. 327–341). Multidisciplinary Digital Publishing Institute (MDPI). https://doi.org/10.3390/gastroent14030024

Morakinyo, O. M., Adebowale, A. S., Obembe, T. A., & Oloruntoba, E. O. (2020). Association between household environmental conditions and nutritional status of women of childbearing age in Nigeria. PLoS ONE, 15(12 December). https://doi.org/10.1371/journal.pone.0243356

Nainggolan, O., Hapsari, D., Titaley, C. R., Indrawati, L., Dharmayanti, I., & Kristanto, A. Y. (2022). The relationship of body mass index and midupper arm circumference with anemia in nonpregnant women aged 19-49 years in Indonesia: Analysis of 2018 Basic Health Research data. PLoS ONE, 17(3 March). https://doi.org/10.1371/journal.pone.0264685

O’Donnell, J., Utomo, I. D., & McDonald, P. (2020). Premarital sex and pregnancy in Greater Jakarta. Genus, 76(1). https://doi.org/10.1186/s41118-020-00081-8

Osborn, A. J., Muhammad, G., Ravishankar, S., & Mathew, A. (2021). Prevalence and correlates of anemia among women in the reproductive age (15-49 years) in a rural area of Tamil Nadu: An exploratory study. Journal of Education and Health Promotion, 10(1). https://doi.org/10.4103/jehp.jehp_1526_20

Pentecost, M., & Meloni, M. (2020). “It’s Never Too Early”: Preconception Care and Postgenomic Models of Life. Frontiers in Sociology, 5. https://doi.org/10.3389/fsoc.2020.00021

Rahman, M. A., Khan, M. N., & Rahman, M. M. (2020). Maternal anaemia and risk of adverse obstetric and neonatal outcomes in South Asian countries: A systematic review and meta-analysis. In Public Health in Practice (Vol. 1). Elsevier B.V. https://doi.org/10.1016/j.puhip.2020.100021

Safiri, S., Kolahi, A. A., Noori, M., Nejadghaderi, S. A., Karamzad, N., Bragazzi, N. L., Sullman, M. J. M., Abdollahi, M., Collins, G. S., Kaufman, J. S., & Grieger, J. A. (2021). Burden of anemia and its underlying causes in 204 countries and territories, 1990–2019: results from the Global Burden of Disease Study 2019. Journal of Hematology and Oncology, 14(1). https://doi.org/10.1186/s13045-021-01202-2

Sulpat, E., Mardhika, A., Fadliyah, L., Tyas, A. P. M., Harianto, S., & Dyah Marsinta, F. (2025). The Impact of Nutritional Status on The Risk of Anemia in Pregnant Women: A Cross-Sectional Study. JoViN Journal of Vocational Nursing, 6(1), 91–96. https://doi.org/https://doi.org/10.20473/jovin.v6i1.70760

Sumon, K., Sayem, M. A., Sayed, A., Al Mamun, M., Bharati, P., Chakrabarty, S., Taleb, A., & Golam Hossain, M. (2021). Two Level Logistic Regression Model of Factors Influencing in Early Childbearing and its Consequences on Nutritional Status of Bangladeshi Mothers: Nationally Representative Data. In International Journal of Statistics in Medical Research (Vol. 10).

Sunuwar, D. R., Singh, D. R., Chaudhary, N. K., Pradhan, P. M. S., Rai, P., & Tiwari, K. (2020). Prevalence and factors associated with anemia among women of reproductive age in seven South and Southeast Asian countries: Evidence from nationally representative surveys. PLoS ONE, 15(8 August). https://doi.org/10.1371/journal.pone.0236449

Wang, R., Xu, S., Hao, X., Jin, X., Pan, D., Xia, H., Liao, W., Yang, L., & Wang, S. (2025). Anemia during pregnancy and adverse pregnancy outcomes: a systematic review and meta-analysis of cohort studies. In Frontiers in Global Women’s Health (Vol. 6). Frontiers Media SA. https://doi.org/10.3389/fgwh.2025.1502585

Wantini, N. A., Maydianasari, L., & Agni, A. S. (2023). The Description of Future Bride Nutritional Status Included Incidence of Anemia, Chronic Energy Deficiency (CED), and Nutritional Status Based on Body Mass Index. Jurnal Ners Dan Kebidanan (Journal of Ners and Midwifery), 10(2), 239–246. https://doi.org/10.26699/jnk.v10i2.art.p239-246

World Health Organization. (2025, November 13). Anaemia. World Health Organization. https://www.who.int/news-room/fact-sheets/detail/anaemia

Wu, Y., Li, D., & Vermund, S. H. (2024). Advantages and Limitations of the Body Mass Index (BMI) to Assess Adult Obesity. In International Journal of Environmental Research and Public Health (Vol. 21, Issue 6). Multidisciplinary Digital Publishing Institute (MDPI). https://doi.org/10.3390/ijerph21060757

Young, M. F., Oaks, B. M., Rogers, H. P., Tandon, S., Martorell, R., Dewey, K. G., & Wendt, A. S. (2023). Maternal low and high hemoglobin concentrations and associations with adverse maternal and infant health outcomes: an updated global systematic review and meta-analysis. BMC Pregnancy and Childbirth, 23(1). https://doi.org/10.1186/s12884-023-05489-6

Zhao, J., Zuo, L., Sun, J., Su, C., & Wang, H. (2023). Geographic and urban–rural disparities in dietary energy and macronutrient composition among women of childbearing age: findings from the China health and nutrition survey,1991–2015. Nutrition Journal, 22(1). https://doi.org/10.1186/s12937-023-00851-y


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Published

2025-12-30

How to Cite

Winarsih Nur Ambarwati, Faiza Arvianabilla, & Mamat, R. (2025). The relationship between nutritional status and preconceptional anemia in premarital women: A cecondary data analysis. Journal of Health Technology Assessment in Midwifery, 8(2), 126–131. https://doi.org/10.31101/jhtam.4510

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