Study of Anemia, Hemoglobin Level, and Subjective Well-being among Women of Reproductive Age in Indonesia

https://doi.org/10.33860/jik.v17i3.3302

Authors

  • Linda Suwarni Faculty of Health Sciences, Universitas Muhammadiyah Pontianak, Pontianak, West Kalimantan, Indonesia

Keywords:

Anemia, Hemoglobin Level, Indonesia Family Life Survey, Women of Reproductive Age, Subjective Well-Being

Abstract

Anemia is a burden for women of reproductive age (15 – 49 years old) which in Indonesia takes 22.3% of prevalence based on Basic Health Survey data in 2018. Women of reproductive health have different points of view according to their subjective well-being. This study aimed to examine the correlation between anemia status and hemoglobin level related to subjective well-being among women of reproductive age. This cross-sectional study used the Indonesia Family Life Survey (IFLS) wave 5 in 2014/15 with a total study sample were 12,818.  Subjective well-being is self-reported data with categories satisfied, somewhat satisfied, and not satisfied. Hemoglobin level is measured by blood test and if the Hb level is less than 12, it will be categorized as anemia. This study tested the analysis of univariate, bivariate (Chi-square and ANOVA), and multivariate (multinomial logistic regression) using STATA version 17.  The findings revealed that anemia and hemoglobin levels did not have a correlation with subjective well-being. However, some other covariates were found significantly associated with having satisfied subjective well-being including being married, pregnant, having poor SES, more than adequate of family life satisfaction, and adequate and more than adequate standard of life, with RRR 1.21, 1.21,0.63, 1.77, 1.19, and 1.74, respectively. It is concluded that subjective well-being is associated with not only health aspects but also social and economic. Intervention in the level of community is needed to improve the quality of life to achieve satisfied well-being. For example by joining the social group at the village level. Future study can include other health-based predictors at individual level that potentially predict subjective well-being.

References

Das K V, Jones-Harrell C, Fan Y, Ramaswami A, Orlove B, Botchwey N. Understanding subjective well-being: perspectives from psychology and public health. Public Health Rev [Internet]. 2020;41(1):25. Available from: https://doi.org/10.1186/s40985-020-00142-5

Muhammad A, Saputri GZ, Candradewi SF, Akrom AH. Correlation Between Hemoglobin Levels and Quality of Life in Pregnant Women in Yogyakarta. KnE Medicine. 2022;190–7.

Patel R, Marbaniang SP, Srivastava S, Kumar P, Chauhan S, Simon DJ. Gender differential in low psychological health and low subjective well-being among older adults in India: With special focus on childless older adults. PLoS One. 2021;16(3):e0247943.

Peverill M, Dirks MA, Narvaja T, Herts KL, Comer JS, McLaughlin KA. Socioeconomic status and child psychopathology in the United States: A meta-analysis of population-based studies. Clin Psychol Rev [Internet]. 2021;83:101933. Available from: https://www.sciencedirect.com/science/article/pii/S0272735820301215

Ray TK. Work related well-being is associated with individual subjective well-being. Ind Health. 2021;60(3):242–52.

Heshmati S, Kibrislioglu Uysal N, Kim SH, Oravecz Z, Donaldson SI. Momentary PERMA: An Adapted Measurement Tool for Studying Well-being in Daily Life. Journal of Happiness Studies. 2023 Sep 22:1-32. Available from: https://doi.org/10.1007/s10902-023-00684-w

Mkrtchyan GM, Blam IYU, Kovalev SYu, Tsvelodub YuO. Impact of Climate Change on the Subjective Well-Being of Households in Russia. Regional Research of Russia [Internet]. 2018;8(3):281–8. Available from: https://doi.org/10.1134/S207997051803005X

Hudson P, Botzen WJW, Poussin J, Aerts JCJH. Impacts of Flooding and Flood Preparedness on Subjective Well-Being: A Monetisation of the Tangible and Intangible Impacts. J Happiness Stud [Internet]. 2019;20(2):665–82. Available from: https://doi.org/10.1007/s10902-017-9916-4

Owais A, Merritt C, Lee C, Bhutta ZA. Anemia among women of reproductive age: an overview of global burden, trends, determinants, and drivers of progress in low-and middle-income countries. Nutrients. 2021;13(8):2745.

Sunuwar DR, Singh DR, Chaudhary NK, Pradhan PMS, Rai P, Tiwari K. 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. 2020;15(8):e0236449.

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):e0239320.

Gautam S, Min H, Kim H, Jeong HS. Determining factors for the prevalence of anemia in women of reproductive age in Nepal: Evidence from recent national survey data. PLoS One. 2019;14(6):e0218288.

Hakizimana D, Nisingizwe MP, Logan J, Wong R. Identifying risk factors of anemia among women of reproductive age in Rwanda–a cross-sectional study using secondary data from the Rwanda demographic and health survey 2014/2015. BMC Public Health. 2019;19(1):1–11.

Ali SA, Khan US, Feroz AS. Prevalence and determinants of anemia among women of reproductive age in developing countries. Journal of the College of Physicians and Surgeons--Pakistan : JCPSP. 2020;30(2):177–86.

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 [Internet]. 2020;20(1):102. Available from: https://doi.org/10.1186/s12889-020-8248-1

Masan L, Rudi A, Hariyanti Y, Akbar H, Maretalinia M, Abbani AY. The determinants of anemia severity and BMI level among anemic women of reproductive age in Indonesia. Journal of Health Epidemiology and Communicable Diseases. 2021;7(1):26–39.

Maretalinia M, Thaweesit S, Jampaklay A. The Sociocultutral Determinants of Anemia Among Women in Reproductive Age in Eastern Indonesia: Analysis of Indonesia Family Life Survey East (IFLS East) 2012. In: The 10th International Graduate Students Conference on Population and Public Health Sciences (IGSCPP). Bangkok: Chulalongkorn University; 2019. p. 168–78.

Ministry of Health Indonesia. Report of National Basic Health Research 2018 [Internet]. 2018. Available from: http://www.depkes.go.id/resources/download/info-terkini/hasil-riskesdas-2018.pdf

Satria A, Yeni Y, Akbar H, Kaseger H, Suwarni L, Abbani AY, et al. Relationship between depression and physical disability by gender among elderly in Indonesia. Universa Medicina [Internet]. 2022 May 5;41(2):104–13. Available from: https://univmed.org/ejurnal/index.php/medicina/article/view/1277

Nainggolan O, Hapsari D, Titaley CR, Indrawati L, Dharmayanti I, Kristanto AY. The relationship of body mass index and mid-upper arm circumference with anemia in non-pregnant women aged 19–49 years in Indonesia: Analysis of 2018 Basic Health Research data. PLoS One. 2022;17(3):e0264685.

Strauss J, Witoelar F, Sikoki B. The fifth wave of the Indonesia family life survey: overview and field report. Vol. 1. Rand Santa Monica, CA, USA; 2016.

Surveymeter. Indonesia Family Life Survey 5 and IFLS East [Internet]. 2015 [cited 2023 Oct 17]. Available from: https://www.rand.org/well-being/social-and-behavioral-policy/data/FLS/IFLS/download.html

Eid R. Forgiveness as a moderator variable in the relationship between subjective well-being and marital satisfaction among married women. مجلة الدراسات النفسية المعاصرة جامعة بنى سويف. 2019;1(2):139–58.

Ngamaba KH, Armitage C, Panagioti M, Hodkinson A. How closely related are financial satisfaction and subjective well-being? Systematic review and meta-analysis. J Behav Exp Econ [Internet]. 2020;85:101522. Available from: https://www.sciencedirect.com/science/article/pii/S2214804319300898

Frongillo EA, Nguyen HT, Smith MD, Coleman-Jensen A. Food insecurity is more strongly associated with poor subjective well-being in more-developed countries than in less-developed countries. J Nutr. 2019;149(2):330–5.

Vignoli D, Mencarini L, Alderotti G. Is the effect of job uncertainty on fertility intentions channeled by subjective well-being? Adv Life Course Res. 2020;46:100343.

Wang L, Wang H, Shao S, Jia G, Xiang J. Job burnout on subjective well-being among Chinese female doctors: the moderating role of perceived social support. Front Psychol. 2020;11:435.

Shreffler KM, Greil AL, Tiemeyer SM, McQuillan J. Is infertility resolution associated with a change in women’s well-being? Human Reproduction. 2020;35(3):605–16.

Radó MK. Tracking the effects of parenthood on subjective well-being: Evidence from Hungary. J Happiness Stud. 2020;21(6):2069–94.

Yıldırım M, Tanrıverdi FÇ. Social support, resilience and subjective well-being in college students. Journal of Positive School Psychology. 2021;5(2):127–35.

Stenlund S, Junttila N, Koivumaa-Honkanen H, Sillanmäki L, Stenlund D, Suominen S, et al. Longitudinal stability and interrelations between health behavior and subjective well-being in a follow-up of nine years. PLoS One. 2021;16(10):e0259280.

Neidlein S, Wirth R, Pourhassan M. Iron deficiency, fatigue and muscle strength and function in older hospitalized patients. Eur J Clin Nutr [Internet]. 2021;75(3):456–63. Available from: https://doi.org/10.1038/s41430-020-00742-z

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Published

2023-11-24

How to Cite

Suwarni, L. (2023). Study of Anemia, Hemoglobin Level, and Subjective Well-being among Women of Reproductive Age in Indonesia. Poltekita: Jurnal Ilmu Kesehatan, 17(3), 821–828. https://doi.org/10.33860/jik.v17i3.3302

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