Determinants of Stunting in The Under-five in West Nusa Tenggara Province with Multilevel Binary Logistic Regression

Ananda Rambi; Budyanra Budyanra

doi:10.20956/j.v21i1.35765

Authors

Ananda Rambi Politeknik Statistika STIS
Budyanra Budyanra Politeknik Statistika STIS

DOI:

https://doi.org/10.20956/j.v21i1.35765

Keywords:

stunting, multilevel binary logistic regression

Abstract

Stunting is a form of malnutrition in children that is still a health problem in Indonesia, especially in NTB Province. Based on the results of the SSGI, the prevalence of stunting in children under five years of age in NTB Province was 32.7 percent, up 1.3 percent compared to the previous year. This value has not reached the threshold of 20 percent and the national target of 18.4 percent. This puts NTB Province in the fourth highest position in Indonesia. In 2022, NTB Province recorded the highest percentage in Indonesia for children under six months who received exclusive breastfeeding, which was 79.69 percent. However, the prevalence of stunting in toddlers in NTB Province is still very high. Between districts/cities in NTB Province, there is a fairly high disparity in the prevalence of stunting in children under five years of age. This shows the influence of regions or households so that there is a disparity in the prevalence of stunting in children under five years of age. This study aims to describe the incidence of stunting in toddlers in general and analyze the variables that influence it and its tendencies in NTB Province in 2022 using a multilevel binary regression model. The results of the study showed that the variables of toddler gender, toddler age, history of toddler pneumonia, maternal education level, access to clean drinking water sources, access to proper sanitation, and GRDP per capita had a significant effect

References

Peraturan Presiden Republik Indonesia Nomor 18 Tahun 2020 tentang Rencana Pembangunan Jangka Menengah Nasional tahun 2020 ̶ 2024.

Peraturan Menteri Kesehatan Nomor 2 Tahun 2020 tentang Standar Antropometri.

Peraturan Menteri Kesehatan Republik Indonesia Nomor 21 Tahun 2020 tentang Rencana Srategis Kementerian Kesehatan Tahun 2020-2024.

Adriani, M. & Wijatm, B., 2014. Gizi & Kesehatan Balita: Peranan Mikro Zinc. Kencana, Jakarta.

Arbain, T., Saleh, M., Noor, M. S., Fakhriyah, Qadrinnisa, R., Amaliah, S.K., Kasmawardah, I., Abdurrahman, M. H., Ridwan, A. M., Fitriani, L. & Arsyad, M., 2022. Buku Ajar ”Stunting Dan Permasalahannya”. CV Mine, Bantul.

Atamou, L., Rahmadiyah, D. C., Hassan, H. & Setiawan, A., 2023. Analysis of the Determinants of Stunting among Children Aged below Five Years in Stunting Locus Villages in Indonesia. Healthcare, Vol. 11, No. 6, 810. DOI: 10.3390/healthcare11060810

Badan Kebijakan Pembangunan Kesehatan, 2022. Buku Saku Hasil Survei Status Gizi Indonesia (SSGI) 2022. BKPK, Jakarta.

Badan Perencanaan Pembangunan Nasional, 2020. Pilar Pembangunan Ekonomi. Bapenas, Jakarta.

Badan Pusat Statistik, 2022. Profil Anak Usia Dini 2022. BPS, Jakarta.

Badan Pusat Statistik, 2023. Produk Domestik Regional Bruto Kabupaten Kota di Indonesia 2018-2022. BPS, Jakarta.

Badan Pusat Statistik, 2023. Produk Domestik Regional Bruto Kabupaten Sumbawa Barat Menurut Lapangan Usaha 2018-2022. BPS, Jakarta.

de Onis, M., Borghi, E., Arimond, M., Webb, P., Croft, T., Saha, K., De-Regil, L. M., Thuita, F., Heidkamp, R., Krasevec, J., Hayashi, C. & Flores-Ayala, R., 2019. Prevalence thresholds for wasting, overweight and stunting in children under 5 years. Public health nutrition, Vol. 22, No. 1, 175-179. DOI: 10.1017/S1368980018002434.

Dinas Kesehatan Provinsi Nusa Tenggara Barat, 2023. Profiil Kesehatan Provinsi Nusa Tenggara Barat Tahun 2022. Dinkes NTB, Mataram.

Fenta, H. M., Workie, D. L., Zike, D. T., Taye, B. W. & Swain, P. K., 2020. Determinants of stunting among under-five years children in Ethiopia from the 2016 Ethiopia demographic and Health Survey: Application of ordinal logistic regression model using complex sampling designs. Clinical Epidemiology and Global Health, Vol. 8, No. 2, 404-413. DOI: 10.1016/j.cegh.2019.09.011

Harlan, J., 2016. Analisis Multilevel. Gunadarma, Jakarta.

Hosmer, David W, Stanley Lemeshow & Sturdivant, R. X., 2013. Applied logistic regression, third edition. Wiley, Canada.

Hox, J. J., 2010. Multilevel analysis techineques and application, second edition. Routledge , New York.

Hox, J. J., Moerbeek, M. & Schoot, R.V.D., 2018. Multilevel analysis techineques and application. third edition. Routledge, New York.

Kementerian Kesehatan RI, 2021. Buku Saku Hasil Studi Status Gizi Indonesia (SSGI) Tingkat Nasional, Provinsi, Kabupaten/Kota Tahun 2021. Kementerian Kesehatan RI, Jakarta.

Marfuah, D., Luthfianto, D., Khotimah, S. K., Kusudaryati, D. P. W., Rachmawati, N. A., Noviyanti, R. D., Wardana, A.S., Fauzi, M.S. & Satriani, 2014. Gizi & Kesehatan Balita: Peranan Mikro Zinc. Kencana, Jakarta.

Septikasari, M., 2018. Status Gizi Anak Dan Faktor Yang Memengaruhi. UNY Press, Yogkarta.

Sumiaty, Nurbaya, & Ramadhan, K., 2023. Konvergensi Program Stunting (Peran Pemerintah Daerah, Organisasi Profesi IBI dan Perguruan Tinggi ). Edugizi Pratama Indonesia , Depok.

World Health Organization, 2024. Stunting prevalence among children under 5 years of age (%) (model-based estimates). UNICEF, Jenawa. https://www.who.int/data/gho/data/indicators/indicator-details/GHO/gho-jme-stunting-prevalence. [1 Juni 2024]

Wicaksono, F. & Harsanti, T., 2020. Determinants of Stunted Children in Indonesia: A Multilevel Analysis at the Individual, Household, and Community Levels. Kesmas, Vol. 15, No. 1, 48-53. DOI: 10.21109/kesmas.v15i1.2771

United Nations Children's Fund, 2013. Improving child nutrition: the achievable imperative for global progress. UNICEF, New York.