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

Authors

  • Elly Dwi Masita Department of Midwifery, Faculty of Nursing and Midwifery, Universitas Nahdlatul Ulama Surabaya, Surabaya, East Java, Indonesia https://orcid.org/0000-0002-3820-1022
  • Rizki Amalia Department of Midwifery, Faculty of Nursing and Midwifery, Universitas Nahdlatul Ulama Surabaya, Surabaya, East Java, Indonesia https://orcid.org/0000-0002-5391-4063
  • 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 https://orcid.org/0000-0002-2150-2793
  • 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 https://orcid.org/0000-0001-5873-0602

DOI:

https://doi.org/10.3889/oamjms.2022.10808

Keywords:

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

Abstract

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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References

WHO, UNICEF, USAID, IFPRI, UCDAVIS, FANTA. Indicators for Assessing Infant and Young Child Feeding Practices. Geneva: World Health Organization; 2010. Available from: https://apps.who.int/iris/bitstream/handle/10665/44306/?sequence=1 [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: https://www.globalnutritionreport.org/reports/2020-global-nutrition-report

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. https://doi.org/10.1007/s10995-021-03201-8 PMid:34383227 DOI: https://doi.org/10.1007/s10995-021-03201-8

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. https://doi.org/10.1111/mcn.12617 PMid:29770565 DOI: https://doi.org/10.1111/mcn.12617

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: https://www.tnp2k.go.id/filemanager/files/rakornis.2018/sesi.1_01_rakorstuntingtnp2k_stranas_22nov2018.pdf

Kementerian Kesehatan RI. Panduan Kesehatan Balita Pada Masa Pandemi Covid-19. Jakarta, Indonesia: Kementeri Kesehat RI; 2020. p. 1-60. Available from: https://www.covid19.go.id/p/protokol/panduan-pelayanan-kesehatan-balita-padamasa-pandemi-covid-19 [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. https://doi.org/10.4314/ejhs.v27i2.10 PMid:28579713 DOI: https://doi.org/10.4314/ejhs.v27i2.10

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: https://www.bappenas.go.id [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. https://doi.org/10.1017/S1368980011001315 PMid:21752311 DOI: https://doi.org/10.1017/S1368980011001315

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. https://doi.org/10.1111/mcn.12409 PMid:28032471 DOI: https://doi.org/10.1111/mcn.12409

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. https://doi.org/10.1093/ajcn/nqaa205 PMid:32851394 DOI: https://doi.org/10.1093/ajcn/nqaa205

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. https://doi.org/10.1093/ajcn/nqaa159 PMid:32860401 DOI: https://doi.org/10.1093/ajcn/nqaa159

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. https://doi.org/10.1186/s12889-019-7360-6 PMid:31370827 DOI: https://doi.org/10.1186/s12889-019-7360-6

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. https://doi.org/10.1093/ajcn/nqaa171 DOI: https://doi.org/10.1093/ajcn/nqaa171

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. https://doi.org/10.5223/pghn.2020.23.5.447 PMid:32953640 DOI: https://doi.org/10.5223/pghn.2020.23.5.447

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. https://doi.org/10.1002/jpen.2036 PMid:33094848 DOI: https://doi.org/10.1002/jpen.2036

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. https://doi.org/10.1080/16549716.2019.1638020 PMid:31333077 DOI: https://doi.org/10.1080/16549716.2019.1638020

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. https://doi.org/10.1016/j.ebiom.2016.02.030 PMid:27211567 DOI: https://doi.org/10.1016/j.ebiom.2016.02.030

Huey SL, Mehta S. Stunting: The need for application of advances in technology to understand a complex health problem. EBioMedicine. 2016;6:26-7. https://doi.org/10.1016/j.ebiom.2016.03.013 PMid:27211543 DOI: https://doi.org/10.1016/j.ebiom.2016.03.013

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. https://doi.org/10.1016/j.jneb.2021.08.016 PMid:35000681 DOI: https://doi.org/10.1016/j.jneb.2021.08.016

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. https://doi.org/10.1016/j.procs.2019.09.010 DOI: https://doi.org/10.1016/j.procs.2019.09.010

Ngwira A. Climate and location as determinants of childhood stunting, wasting, and overweight : An application of semiparametric multivariate probit model. Nutrition. 2020;70S:100010. https://doi.org/10.1016/j.nutx.2020.100010 PMid:34301371 DOI: https://doi.org/10.1016/j.nutx.2020.100010

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. https://doi.org/10.1016/j.ssmph.2021.100748 PMid:33997239 DOI: https://doi.org/10.1016/j.ssmph.2021.100748

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. https://doi.org/10.3390/nu13103431 PMid:34684435 DOI: https://doi.org/10.3390/nu13103431

Ayelign A, Zerfu T. Household, dietary and healthcare factors predicting childhood stunting in Ethiopia. Heliyon. 2021;7:e06733. https://doi.org/10.1016/j.heliyon.2021.e06733 PMid:33912713 DOI: https://doi.org/10.1016/j.heliyon.2021.e06733

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. https://doi.org/10.2147/PHMT.S344715 PMid:35046749 DOI: https://doi.org/10.2147/PHMT.S344715

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. https://doi.org/10.1017/S0007114519000813 PMid:30975226 DOI: https://doi.org/10.1017/S0007114519000813

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. https://doi.org/10.1017/S1368980019004671 PMid:32301415 DOI: https://doi.org/10.1017/S1368980019004671

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. https://doi.org/10.3390/nu8120778 PMid:27916932 DOI: https://doi.org/10.3390/nu8120778

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. https://doi.org/10.3390/ijerph18105184 PMid:34068222 DOI: https://doi.org/10.3390/ijerph18105184

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. https://doi.org/10.1177/0379572120968978 PMid:33191793 DOI: https://doi.org/10.1177/0379572120968978

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. https://doi.org/10.1186/s12889-019-7305-0 DOI: https://doi.org/10.1186/s12889-019-7305-0

Haileamlak A. What factors affect health seeking behavior? Ethiop J Health Sci. 2018;28(2):110. https://doi.org/10.4314/ejhs.v28i2.1 PMid:29983507 DOI: https://doi.org/10.4314/ejhs.v28i2.1

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. https://doi.org/10.1016/j.jneb.2021.02.003 PMid:33775569 DOI: https://doi.org/10.1016/j.jneb.2021.02.003

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. https://doi.org/10.1016/j.dib.2018.09.084 PMid:30364727 DOI: https://doi.org/10.1016/j.dib.2018.09.084

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. https://doi.org/10.5334/aogh.3432 PMid:34824992 DOI: https://doi.org/10.5334/aogh.3432

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. https://doi.org/10.2147/PRBM.S128313 PMid:28280402 DOI: https://doi.org/10.2147/PRBM.S128313

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. https://doi.org/10.1186/s40723-016-0026-2 DOI: https://doi.org/10.1186/s40723-016-0026-2

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. https://doi.org/10.1037/a0033465 PMid:23772849 DOI: https://doi.org/10.1037/a0033465

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. https://doi.org/10.1016/j.gaceta.2021.10.077 PMid:34929881 DOI: https://doi.org/10.1016/j.gaceta.2021.10.077

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. https://doi.org/10.1089/bfm.2017.0232 PMid:29359956 DOI: https://doi.org/10.1089/bfm.2017.0232

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. https://doi.org/10.3390/nu12030722 PMid:32164187 DOI: https://doi.org/10.3390/nu12030722

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. https://doi.org/10.1093/ajcn/nqy374 PMid:30882139 DOI: https://doi.org/10.1093/ajcn/nqy374

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. https://doi.org/10.1016/j.ghir.2021.101408 PMid:34102547 DOI: https://doi.org/10.1016/j.ghir.2021.101408

Denson LA. Application of mucosal functional genomics to childhood undernutrition and stunting: Insights into mechanisms and targeted interventions. eBioMedicine. 2021;71:103553. https://doi.org/10.1016/j.ebiom.2021.103553 PMid:34482071 DOI: https://doi.org/10.1016/j.ebiom.2021.103553

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2022-11-17

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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: https://oamjms.eu/index.php/mjms/article/view/10808

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