Ahmed Kedir Y, Thapa Subash, Kibret Getiye D, Bizuayehu Habtamu M, Sun Jing, Huda M Mamun, Dadi Abel F, Ogbo Felix A, Mahmood Shakeel, Shiddiky Muhammad J A, Berhe Fentaw T, Aychiluhm Setognal B, Anyasodor Anayochukwu E, Ross Allen G
Rural Health Research Institute, Charles Sturt University, Orange, New South Wales, Australia.
Faculty of Medicine, Health and Human Sciences, Macquarie University, Macquarie Park, New South Wales, Australia.
J Glob Health. 2025 Jan 17;15:04015. doi: 10.7189/jogh.15.04015.
Identifying the modifiable risk factors for childhood mortality using population-attributable fractions (PAFs) estimates can inform public health planning and resource allocation in low- and middle-income countries (LMICs). We estimated PAFs for key population-level modifiable risk factors of neonatal, infant, and under-five mortality in LMICs.
We used the most recent Demographic and Health Survey data sets (2010-22) from 48 LMICs, encompassing 35 sub-Saharan African countries and 13 countries from South and Southeast Asia (n = 506 989). We used generalised linear latent mixed models to compute odds ratios (ORs), and we calculated the PAFs adjusted for commonality using ORs and prevalence estimates for key modifiable risk factors.
The highest PAFs of neonatal mortality were attributed to delayed initiation of breastfeeding (>1 hour of birth) (PAF = 23.9; 95% confidence interval (CI) = 23.1, 24.8), uncleaned cooking fuel (PAF = 6.2; 95% CI = 6.4, 7.8), infrequent antenatal care (ANC) visits (PAF = 4.3; 95% CI = 3.3, 5.9), maternal lack of formal education (PAF = 3.9; 95% CI = 2.7, 5.3), and mother's lacking two doses of tetanus injections (PAF = 3.0; 95% CI = 1.9, 3.9). These five modifiable risk factors contributed to 41.4% (95% CI = 35.6, 47.0) of neonatal deaths in the 48 LMICs. Similarly, a combination of these five risk factors contributed to 40.5% of infant deaths. Further, delayed initiation of breastfeeding (PAF = 15.8; 95% CI = 15.2, 16.2), unclean cooking fuel (PAF = 9.6; 95% CI = 8.4, 10.7), mothers lacking formal education (PAF = 7.9; 95% CI = 7.0, 8.9), infrequent ANC visits (PAF = 4.0; 95% CI = 3.3, 4.7), and poor toilet facilities (PAF = 3.4; 95% CI = 2.6, 4.3) were attributed to 40.8% (95% CI = 36.4, 45.2) of under-five deaths.
Given the current global economic climate, policymakers should prioritise these modifiable risk factors. Key recommendations include ensuring that women enter pregnancy in optimal health, prioritising the presence of skilled newborn attendants for timely and proper breastfeeding initiation, and enhancing home-based care during the postnatal period and beyond.
利用人群归因分数(PAF)估计值来确定儿童死亡率的可改变风险因素,可为低收入和中等收入国家(LMICs)的公共卫生规划和资源分配提供参考。我们估计了LMICs中新生儿、婴儿和五岁以下儿童死亡率的关键人群层面可改变风险因素的PAF。
我们使用了来自48个LMICs的最新人口与健康调查数据集(2010 - 2022年),涵盖35个撒哈拉以南非洲国家以及13个南亚和东南亚国家(n = 506989)。我们使用广义线性潜在混合模型来计算比值比(ORs),并使用ORs和关键可改变风险因素的患病率估计值来计算经共性调整后的PAF。
新生儿死亡率的最高PAF归因于母乳喂养开始延迟(出生后>1小时)(PAF = 23.9;95%置信区间(CI)= 23.1,24.8)、未清洁的烹饪燃料(PAF = 6.2;95% CI = 6.4,7.8)、产前检查(ANC)次数少(PAF = 4.3;95% CI = 3.3,5.9)、母亲未接受正规教育(PAF = 3.9;95% CI = 2.7,5.3)以及母亲未接种两剂破伤风疫苗(PAF = 3.0;95% CI = 1.9,3.9)。这五个可改变风险因素导致了48个LMICs中41.4%(95% CI = 35.6,47.0)的新生儿死亡。同样,这五个风险因素的组合导致了40.5%的婴儿死亡。此外,母乳喂养开始延迟(PAF = 15.8;95% CI = 15.2,16.2)、未清洁的烹饪燃料(PAF = 9.6;95% CI = 8.4,10.7)、母亲未接受正规教育(PAF = 7.9;95% CI = 7.0,8.9)、产前检查次数少(PAF = 4.0;95% CI = 3.3,4.7)以及卫生设施差(PAF = 3.4;95% CI = 2.6,4.3)导致了40.8%(95% CI = 36.4,45.2)的五岁以下儿童死亡。
鉴于当前的全球经济形势,政策制定者应优先考虑这些可改变的风险因素。主要建议包括确保妇女在最佳健康状态下怀孕,优先配备熟练的新生儿护理人员以便及时、正确地开始母乳喂养,并在产后及以后加强家庭护理。