Analysis of Factors that affect Events and Interventions of Stunting through the E-Stunting Android Application


  • Elly Dwi Masita Department of Midwifery, Faculty of Nursing and Midwifery, Universitas Nahdlatul Ulama Surabaya, Surabaya, East Java, Indonesia
  • Rizki Amalia Department of Midwifery, Faculty of Nursing and Midwifery, Universitas Nahdlatul Ulama Surabaya, Surabaya, East Java, Indonesia
  • Esty Puji Rahayu Department of Midwifery, Faculty of Nursing and Midwifery, Universitas Nahdlatul Ulama Surabaya, Surabaya, East Java, Indonesia
  • Alcinda Pinto Fernandes Department of Nursing and Midwifery, Cristal Institute Superior Crista, Dili, Timor-Leste
  • Augusto Da Costa Department of Nursing and Midwifery, Cristal Institute Superior Crista, Dili, Timor-Leste
  • Aureo Frutalegio da Costa Freitas Department of Nursing and Midwifery, Cristal Institute Superior Crista, Dili, Timor-Leste
  • Siti Nur Hasina Department of Nursing, Faculty of Nursing and Midwifery, Universitas Nahdlatul Ulama Surabaya, Surabaya, East Java, Indonesia



E-stunting, Diet pattern, Parenting, Perception, Knowledge


Background: Based on the Indonesian Toddler Nutrition Status Survey in 2021, it was found that the stunting rate in Indonesia reached 24.4%, which means there were 5.33 million indicated stunting.

Objective: The purpose of this study was to detect the causative factors and effectiveness of stunting interventions in the E stunting application.

Methods: The type of the research is quantitative analytic with cross sectional approach using double linear regression analytic test with p = 0.05. The difference test used an unpaired sample test analytic by looking at the difference in mean in the control and treatment groups. The population uses totality sampling with the rule of thumb technique. This research instrument uses a minimum diet diversity questionnaire, diet diversity, parenting model, as well as a questionnaire with a Likert scale and has been through validity and reliability tests.

Results: The results of the determinant coefficient test have a relationship between the independent and dependent variables, while Adjusted R2 = 0.803 which means 80.3% of all variables affect the z score in children, while the difference test result obtained a result of sig 2 tailed = 0.001 and the value of Sig Levene's test for equality variance of 0.44 > 0.001

Conclusion: There is an effect of frequency of eating, number of types of food, eating culture, history of breastfeeding, complementary feeding, perception, knowledge of the z score (stunting events). And E stunting is effective in assessing the causative factors and treatment in cases of infants with stunting


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WHO, UNICEF, USAID, IFPRI, UCDAVIS, FANTA. Indicators for Assessing Infant and Young Child Feeding Practices. Geneva: World Health Organization; 2010. Available from: [Last accessed on 2022 Apr 20].

World Health Organization. World Health Statistic. Geneva: World Health Organization; 2020.

World Health Organization (WHO 2020). The 2020 Global Nutrition Report-Foreword. Geneva: World Health Organization; 2020. p. 10-1. Available from:

Vonaesch P, Djorie SG, Kandou KJ, Rakotondrainipiana M, Schaeffer L, Andriatsalama PV, et al. Factors associated with stunted growth in children under five years in Antananarivo, Madagascar and Bangui, Central African Republic. Matern Child Health J. 2021;25(10):1626-37. PMid:34383227 DOI:

Beal T, Tumilowicz A, Sutrisna A, Izwardy D, Neufeld LM. A review of child stunting determinants in Indonesia. Matern Child Nutr. 2018;14(4):e12617. PMid:29770565 DOI:

National Strategy for Accelerating Stunting Prevention 2018-2024. Tim Nas Percepatan Penanggulangan Kemiskin Sekr Wakil Pres Republik Indones. Indonesia: TNPPK; 2018. p. 1-32. Available from:

Kementerian Kesehatan RI. Panduan Kesehatan Balita Pada Masa Pandemi Covid-19. Jakarta, Indonesia: Kementeri Kesehat RI; 2020. p. 1-60. Available from: [Last accessed on 2022 Apr 20].

Dinas Kesehatan Kota Surabaya. Profil Kesehatan Kota Surabaya 2018. Suarabaya: Dinas Kesehatan Kota Surabaya; 2018. Available from: https://www.file:///C:/Users/youhe/downloads/kdoc_o_00042_01.pdf

Abdulahi A, Shab-Bidar S, Rezaei S, Djafarian K. Nutritional status of under five children in Ethiopia: A systematic review and meta-analysis. Ethiop J Health Sci. 2017;27(2):175-88. PMid:28579713 DOI:

Kementerian PPN/Bappenas. Pedoman Pelaksanaan Intervensi Penurunan Stunting Terintegrasi di Kabupaten/Kota. Rencana Aksi Nas dalam Rangka Penurunan Stunting Rembuk Stunting. Jakarta: Kementerian PPN/Bappenas; 2018. p. 1-51. Available from: [Last accessed on 2022 Apr 20].

De Onis M, Blössner M, Borghi E. Prevalence and trends of stunting among pre-school children, 1990-2020. Public Health Nutr. 2012;15(1):142-8. PMid:21752311 DOI:

Rakotomanana H, Gates GE, Hildebrand D, Stoecker BJ. Determinants of stunting in children under 5 years in Madagascar. Matern Child Nutr. 2017;13(4):e12409. PMid:28032471 DOI:

Nisa LS. Stunting prevention policies in Indonesia stunting prevention policies in Indonesia. Developer Wisdom. 2018;13(2):173-9.

Dinas kesehatan Jawa Timur. Profil Kesehatan Provinsi Jawa Timur 2018. Profil Kesehatan Provinsi Jawa Timur. Indonesia: Dinas Kesehatan Provinsi Jawa Timur; 2019. p. 25-6.

Roediger R, Hendrixson DT, Manary MJ. A roadmap to reduce stunting. Am J Clin Nutr. 2020;112(Suppl 2):773S-6S. PMid:32851394 DOI:

Vaivada T, Akseer N, Akseer S, Somaskandan A, Stefopulos M, Bhutta ZA. Stunting in childhood : An overview of global burden, trends, determinants, and drivers of decline. 2020;112(Suppl 2):777S-91S. PMid:32860401 DOI:

Dhami MV, Ogbo FA, Osuagwu UL, Agho KE. Prevalence and factors associated with complementary feeding practices among children aged 6-23 months in India: A regional analysis. BMC Public Health. 2019;19(1):1034. PMid:31370827 DOI:

Akseer N, Kandru G, Keats EC, Bhutta ZA. COVID-19 pandemic and mitigation strategies : Implications for maternal and child health and nutrition. Am J Clin Nutr. 2020;112(2):251-6. DOI:

Gholampour T, Noroozi M, Zavoshy R, Mohammadpoorasl A, Ezzeddin N. Relationship between household food insecurity and growth disorders in children aged 3 to 6 in Qazvin city, Iran. Pediatr Gastroenterol Hepatol Nutr. 2020;23(5):447-56. PMid:32953640 DOI:

Mechanick JI, Carbone S, Dickerson RN, Hernandez BJ, Hurt RT, Irving SY, et al. Clinical nutrition research and the COVID-19 pandemic: A scoping review of the ASPEN COVID-19 task force on nutrition research. JPEN J Parenter Enteral Nutr. 2021;45(1):13-31. PMid:33094848 DOI:

Dhami MV, Ogbo FA, Osuagwu UL, Ugboma Z, Agho KE. Stunting and severe stunting among infants in India: The role of delayed introduction of complementary foods and community and household factors. Glob Health Action. 2019;12(1):1638020. PMid:31333077 DOI:

Semba RD, Shardell M, Ashour FA, Moaddel R, Trehan I, Maleta KM, et al. Child stunting is associated with low circulating essential amino acids. EBioMedicine. 2016;6:246-52. PMid:27211567 DOI:

Huey SL, Mehta S. Stunting: The need for application of advances in technology to understand a complex health problem. EBioMedicine. 2016;6:26-7. PMid:27211543 DOI:

Gol RM, Kheirouri S, Alizadeh M. Association of dietary diversity with growth outcomes in infants and children aged under 5 years: A systematic review. J Nutr Educ Behav. 2022;54(1):65-83. PMid:35000681 DOI:

Moniaga JV, Ohyver M, Siregar J, Yauwito PH. Map-type modelling and analysis of children stunting case data in Indonesia with interactive multimedia method. Procedia Comput Sci. 2019;157:530-6. DOI:

Ngwira A. Climate and location as determinants of childhood stunting, wasting, and overweight : An application of semiparametric multivariate probit model. Nutrition. 2020;70S:100010. PMid:34301371 DOI:

Srivastava S, Chandra H, Singh SK, Upadhyay AK. Mapping changes in district level prevalence of childhood stunting in India 1998-2016: An application of small area estimation techniques. SSM Popul Health. 2021;14:100748. PMid:33997239 DOI:

Aboagye RG, Seidu AA, Ahinkorah BO, Arthur-Holmes F, Cadri A, Dadzie LK, et al. Dietary diversity and undernutrition in children aged 6-23 months in Sub-Saharan Africa. Nutrients. 2021;13(10):3431. PMid:34684435 DOI:

Ayelign A, Zerfu T. Household, dietary and healthcare factors predicting childhood stunting in Ethiopia. Heliyon. 2021;7:e06733. PMid:33912713 DOI:

Oumer A, Girum T, Fikre Z, Bedewi J, Nuriye K, Assefa K. Stunting and underweight, but not wasting are associated with delay in child development in Southwest Ethiopia. Pediatric Health Med Ther. 2022;13:1-12. PMid:35046749 DOI:

Haszard JJ, Diana A, Daniels L, Houghton LA, Gibson RS. Development of a nutrient quality score for the complementary diets of Indonesian infants and relationships with linear growth and stunting: A longitudinal analysis. Br J Nutr. 2019;122(1):71-7. PMid:30975226 DOI:

Moraeus L, Lindroos AK, Lemming EW, Mattisson I. Diet diversity score and healthy eating index in relation to diet quality and socio-demographic factors: Results from a crosssectional national dietary survey of Swedish adolescents. Public Health Nutr. 2020;23(10):1754-65. PMid:32301415 DOI:

Khor GL, Tan SY, Tan KL, Chan PS, Amarra MS. Compliance with WHO IYCF indicators and dietary intake adequacy in a sample of Malaysian infants aged 6-23 months. Nutrients. 2016;8(12):778. PMid:27916932 DOI:

Zhu W, Zhu S, Sunguya BF, Huang J. Urban-rural disparities in the magnitude and determinants of stunting among children under five in Tanzania: Based on Tanzania demographic and health surveys 1991-2016. Int J Environ Res Public Health. 2021;18(10):5184. PMid:34068222 DOI:

Hailegebriel T. Prevalence and determinants of stunting and thinness/wasting among schoolchildren of Ethiopia: A systematic review and meta-analysis. Food Nutr Bull. 2020;41(4):474-93. PMid:33191793 DOI:

Huang M, Zhang H, Gu Y, Wei J, Gu S, Zhen X, et al. Outpatient health-seeking behavior of residents in Zhejiang and Qinghai province, China. BMC Public Health. 2019;19(1):1-8. DOI:

Haileamlak A. What factors affect health seeking behavior? Ethiop J Health Sci. 2018;28(2):110. PMid:29983507 DOI:

Pallewaththa P, Agampodi TC, Agampodi SB, Pérez-Escamilla R, Siribaddana S. Measuring responsive feeding in Sri Lanka: Development of the responsive feeding practices assessment tool. J Nutr Educ Behav. 2021;53(6):489-502. PMid:33775569 DOI:

Uwiringiyimana V, Ocké MC, Amer S, Veldkamp A. Data on child complementary feeding practices, nutrient intake and stunting in Musanze district, Rwanda. Data Brief. 2018;21:334-42. PMid:30364727 DOI:

Mengesha A, Hailu S, Birhane M, Belay MM. The prevalence of stunting and associated factors among children under five years of age in Southern Ethiopia : Community based cross-sectional study. Ann Glob Health. 2021;87(1):111. PMid:34824992 DOI:

Pellerone M, Ramaci T, Parrello S, Guariglia P, Giaimo F. Psychometric properties and validation of the Italian version of the family assessment measure third edition-short version-in a nonclinical sample. Psychol Res Behav Manag. 2017;10:69-77. PMid:28280402 DOI:

Lee JR, Kim G, Yi YJ, Song S, Kim J. Classifying Korean children’s behavioral problems and their influencing factors: A latent profile analysis. Int J Child Care Educ Policy. 2017;11(1):1-17. DOI:

Zare M, Ghodsbin F, Jahanbin I, Ariafar A, Keshavarzi S, Izadi T. The effect of health belief model-based education on knowledge and prostate cancer screening behaviors: A randomized controlled trial. Int J Community Based Nurs Midwifery. 2016;4(1):57-68. PMid:26793731

Bagner DM. Father’s role in parent training for children with developmental delay. J Fam Psychol. 2013;27(4):650-7. PMid:23772849 DOI:

Basri H, Hadju V, Zulkifli A, Syam A, Ansariadi, Stang, et al. Dietary diversity, dietary patterns and dietary intake are associated with stunted children in Jeneponto district, Indonesia. Gac Sanit. 2021;35 Suppl 2:S483-6. PMid:34929881 DOI:

Alemie GA, Eidelman AI. Nutritional assessment of the children of the beta Israel community in Ethiopia: A 2017 update. Breastfeed Med. 2018;13(2):149-54. PMid:29359956 DOI:

Lassi ZS, Rind F, Irfan O, Hadi R, Das JK, Bhutta ZA. Impact of infant and young child feeding (IYCF) nutrition interventions on breastfeeding practices, growth and mortality in low-and middleincome countries: Systematic review. Nutrients. 2020;12(3):722. PMid:32164187 DOI:

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(4):1207-15. PMid:30882139 DOI:

Dunkel L, Fernandez-luque L, Loche S, Savage MO. Digital technologies to improve the precision of paediatric growth disorder diagnosis and management. Growth Horm IGF Res. 2021;59:101408. PMid:34102547 DOI:

Denson LA. Application of mucosal functional genomics to childhood undernutrition and stunting: Insights into mechanisms and targeted interventions. eBioMedicine. 2021;71:103553. PMid:34482071 DOI:




How to Cite

Masita ED, Amalia R, Rahayu EP, Fernandes AP, Costa AD, Freitas AF da C, Hasina SN. Analysis of Factors that affect Events and Interventions of Stunting through the E-Stunting Android Application. Open Access Maced J Med Sci [Internet]. 2022 Nov. 17 [cited 2024 Jul. 23];10(E):1793-800. Available from:



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