Bayesian geostatistical modelling of stunting in Rwanda: risk factors and spatially explicit residual stunting burden

被引:10
|
作者
Uwiringiyimana, Vestine [1 ,2 ]
Osei, Frank [1 ]
Amer, Sherif [1 ]
Veldkamp, Antonie [1 ]
机构
[1] Univ Twente, Fac Geoinformat Sci & Earth Observat ITC, POB 217, NL-7500 AE Enschede, Netherlands
[2] Univ Rwanda, Dept Food Sci & Technol, Coll Agr Anim Sci & Vet Med, POB 3900, Kigali, Rwanda
关键词
Stunting; Spatial pattern; Bayesian modelling; Spatial residuals; Rwanda; CHILD GROWTH; NUTRITIONAL-STATUS; HEALTH; PREDICTORS; EXPOSURE; UNDERNUTRITION; CONSEQUENCES; DETERMINANTS; MALNUTRITION; FRAMEWORK;
D O I
10.1186/s12889-022-12552-y
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
Background Stunting remains a significant public health issue in Rwanda and its prevalence exhibits considerable geographical variation. We apply Bayesian geostatistical modelling to study the spatial pattern of stunting in children less than five years considering anthropometric, socioeconomic and demographic risk factors in Rwanda. In addition, we predict the spatial residuals effects to quantify the burden of stunting not accounted for by our geostatistical model. Methods We used the data from the 2015 Rwanda Demographic and Health Survey. We fitted two spatial logistic models with similar structures, only differentiated by the inclusion or exclusion of spatially structured random effects. Results The risk factors of stunting identified in the geostatistical model were being male (OR = 1.32, 95% CI: 1.16, 1.47), lower birthweight (kg) (OR = 0.96, 95% CI: 0.95, 0.97), non-exclusive breastfeeding (OR = 1.24, 95% CI: 1.04, 1.45), occurrence of diarrhoea in the last two weeks (OR = 1.18, 95% CI: 1.02, 1.37), a lower proportion of mothers with overweight (BMI >= 25) (OR = 0.82, 95% CI: 0.71, 0.95), a higher proportion of mothers with no or only primary education (OR = 1.14, 95% CI: 0.99, 1.36). Also, a higher probability of living in a house with poor flooring material (OR = 1.22, 95% CI: 1.06, 1.41), reliance on a non-improved water source (OR = 1.13, 95% CI: 1.00, 1.27), and a low wealth index were identified as risk factors of stunting. Mapping of the spatial residuals effects showed that, in particular, the Northern and Western regions, followed by the Southern region of Rwanda, still exhibit a higher risk of stunting even after accounting for all the covariates in the spatial model. Conclusions Further studies are needed to identify the still unknown spatially explicit factors associated with higher risk of stunting. Finally, given the spatial heterogeneity of stunting, interventions to reduce stunting should be geographically targeted.
引用
收藏
页数:14
相关论文
共 50 条
  • [21] Spatially-explicit risk profiling of Plasmodium falciparum infections at a small scale:: a geostatistical modelling approach
    Silue, Kigbafori D.
    Raso, Giovanna
    Yapi, Ahoua
    Vounatsou, Penelope
    Tanner, Marcel
    N'Goran, Eliezer K.
    Utzinger, Juerg
    MALARIA JOURNAL, 2008, 7 (1)
  • [22] Associations of stunting in early childhood with cardiometabolic risk factors in adulthood
    Rolfe, Emanuella De Lucia
    Araujo de Franca, Giovanny Vinicius
    Vianna, Carolina Avila
    Gigante, Denise P.
    Miranda, J. Jaime
    Yudkin, John S.
    Horta, Bernardo Lessa
    Ong, Ken K.
    PLOS ONE, 2018, 13 (04):
  • [23] Risk Factors and Trends in Childhood Stunting in a District in Western Uganda
    Biondi, Dax
    Kipp, Walter
    Jhangri, Gian S.
    Alibhai, Arif
    Rubaale, Tom
    Saunders, L. Duncan
    JOURNAL OF TROPICAL PEDIATRICS, 2011, 57 (01) : 24 - 33
  • [24] Risk factors for stunting among under-fives in Libya
    El Taguri, Adel
    Betilmal, Ibrahim
    Mahmud, Salah Murad
    Ahmed, Abdel Monem
    Goulet, Olivier
    Galan, Pilar
    Hercberg, Serge
    PUBLIC HEALTH NUTRITION, 2009, 12 (08) : 1141 - 1149
  • [25] Risk factors for stunting among children in Banggai Regency, Indonesia
    Gani, Aspar Abdul
    Widasari, Lucy
    Otoluwa, Anang S.
    Hadju, Veni
    Palutturi, Sukri
    Thaha, A. Razak
    Manti, Sabaria B.
    ENFERMERIA CLINICA, 2020, 30 : 149 - 152
  • [26] An analysis of the dual burden of childhood stunting and wasting in Myanmar: a copula geoadditive modelling approach
    Bhadra, Dhiman
    PUBLIC HEALTH NUTRITION, 2024, 27 (01)
  • [27] Child stunting and associated risk factors in selected food-insecure areas in Rwanda: an analytical cross- sectional study
    Niragire, Francois
    Ndikumana, Celestin
    Nyirahabimana, Marie Gaudence
    Mugemangango, Cyprien
    PAN AFRICAN MEDICAL JOURNAL, 2022, 43
  • [28] Risk Factors Of Stunting Among Children Under 5 Years Of Age In The Eastern And Western Provinces Of Rwanda: Analysis Of Rwanda Demographic And Health Survey 2014/2015
    Habimana, Samuel
    Biracyaza, Emmanuel
    PEDIATRIC HEALTH MEDICINE AND THERAPEUTICS, 2019, 10 : 115 - 130
  • [29] Risk factors for wasting and stunting among children in Metro Cebu, Philippines
    Ricci, JA
    Becker, S
    AMERICAN JOURNAL OF CLINICAL NUTRITION, 1996, 63 (06): : 966 - 975
  • [30] Risk factors of stunting in Indonesian children aged 1 to 60 months
    Wicaksono, Rizki Aryo
    Arto, Karina Sugih
    Mutiara, Erna
    Deliana, Melda
    Lubis, Munar
    Batubara, Jose Rizal Latief
    PAEDIATRICA INDONESIANA, 2021, 61 (01) : 12 - 19