Factors Influencing the Role of Religious Leaders in the Process Accelerate Stunting Response in East Nusa Tenggara Province

Journal of Maternal and Child Health

article

Intje Picauly¹  Anak Agung Ayu Mirah Adi²  Eflita Meiyetriani³  Majematang Mading⁴  Pius Weraman¹  Siti Fadhilatun Nashriyah³  Ahmad Thohir Hidayat³  Daniela L. Adeline Boeky¹  Varry Lobo⁴  Asmulyati S. Saleh²  Jane A. Peni² 

[1] Department of Nutrition, Faculty of Public Health, Universitas Nusa Cendana;Health Polytechnics of Kupang;SEAMEO RECFON, Regional Center for Nutrition Studies;Research and Development Center of Waikabubak

关键词: the role of religious leaders;    acceleration of stunting prevention;    chronic malnutrition;   

DOI  :  10.26911/thejmch.2022.07.06.01

学科分类：食品科学和技术

来源: Masters Program in Public Health, Universitas Sebelas Maret

【 摘 要 】

Background: Stunting was the impact of chronic malnutrition in the long term and has an impact on children's growth and development disorders. Stunting has become a priority for the Indonesian government, including in the Province of East Nusa Tenggara with a stunting reduction target of 14% in 2024. The Indonesian governments have made many efforts to overcome stunting. Religious leaders are parties suspected of being able to play a role in the process. This study was aimed to determine the factors that influence the role of religious leaders in supporting the process of accelerating stunting reduction in the dry land area in East Nusa Tenggara.Subjects and Method: This was a mixed-method study. This study was conducted in May 2022 using the focus group discussion (FGD) method and involved 13 religious leaders who were taken purposively. The data collected were analyzed qualitatively (making interview transcripts) and quantitatively. The independent variables were level of understanding about stunting, support for policies/programs related to stunting, stunting program budget support, national program support: CATIN facilitation, and cross-sectoral cooperation support. The statistical analysis used is multiple logistic regression analysis.

【 授权许可】

CC BY-NC-SA