Prevalence and associated factors of active trachoma among 1-9 years of age children in Andabet district, northwest Ethiopia, 2023: A multi-level mixed-effect analysis.

IF 3.8 2区医学 Q1 Medicine

PLoS Neglected Tropical Diseases Pub Date : 2023-08-17 eCollection Date: 2023-08-01 DOI:10.1371/journal.pntd.0011573

Zufan Alamrie Asmare, Beminate Lemma Seifu, Kusse Urmale Mare, Yordanos Sisay Asgedom, Bizunesh Fantahun Kase, Abdu Hailu Shibeshi, Tsion Mulat Tebeje, Afework Alemu Lombebo, Kebede Gemeda Sabo, Bezawit Melak Fente, Achamyeleh Birhanu Teshale, Hiwot Altaye Asebe

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引用次数: 0

Abstract

Background: Trachoma is the chief cause of preventable blindness worldwide and has been earmarked for elimination as a public health problem by 2030. Despite the five-year Surgery, Antibiotics, Facial cleanliness, and Environmental improvement (SAFE)-based interventions in the Andabet district, the prevalence of trachomatous follicular (TF) was 37%. With such a high prevalence of TF, the determinant factors were not revealed. Besides, there were no reports on the overall prevalence of active trachoma (i.e.TF and or trachomatous intense (TI)).

Objective: To determine the prevalence and associated factors of active trachoma among 1-9 years of age children in the Andabet district.

Method: A community-based cross-sectional study was conducted among children aged under nine years from March 1-30, 2023 in Andabet district, Northwest Ethiopia. Multi-stage systematic random sampling was employed to reach 540 children. A multilevel mixed-effect logistic regression analysis was employed to assess factors associated with active trachoma. We fitted both random effect and fixed effect analysis. Finally, variables with p<0.05 in the multivariable multilevel analysis were claimed to be significantly associated with active trachoma.

Result: In this study, the overall prevalence of active trachoma was 35.37% (95% CI: 31.32%, 39.41%). The prevalence of TF and TI was 31.3% and 4.07% respectively. In the multilevel logistic regression analysis ocular discharge, fly-eye contact, latrine utilization, and source of water were significantly associated with the prevalence of active trachoma.

Conclusion: In this study, the prevalence of active trachoma was much higher than the World Health Organization (WHO) threshold prevalence. Ocular discharge, fly-eye contact, latrine utilization, and source of water were independent determinants of active trachoma among children (1-9 years). Therefore, paying special attention to these high-risk groups could decrease the prevalence of a neglected hyperendemic disease, active trachoma.

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2023年埃塞俄比亚西北部安达贝特区1-9岁儿童活动性沙眼的患病率和相关因素：多层次混合效应分析。

背景：Trachoma是全球可预防失明的主要原因，已被指定为到2030年消除的公共卫生问题。尽管在安达贝地区进行了为期五年的手术、抗生素、面部清洁和环境改善（SAFE）干预，但滤泡性沙眼（TF）的患病率为37%。由于TF的患病率如此之高，决定因素尚未揭示。目的：了解安达贝地区1-9岁儿童活动性沙眼的患病率及相关因素。方法：2023年3月1日至30日，在埃塞俄比亚西北部安达贝特区对9岁以下儿童进行了一项基于社区的横断面研究。采用多阶段系统随机抽样方法，对540名儿童进行调查。采用多水平混合效应logistic回归分析来评估与活动性沙眼相关的因素。我们拟合了随机效应和固定效应分析。结果：在本研究中，活动性沙眼的总患病率为35.37%（95%CI:31.32%，39.41%），TF和TI的患病率分别为31.3%和4.07%。在多水平logistic回归分析中，眼分泌物、蝇眼接触、厕所使用和水源与活动性沙眼的患病率显著相关。结论：在本研究中，活动性沙眼的患病率远高于世界卫生组织（世界卫生组织）的阈值患病率。眼分泌物、蝇眼接触、厕所使用和水源是儿童（1-9岁）活动性沙眼的独立决定因素。因此，特别关注这些高危人群可以降低一种被忽视的高流行性疾病——活动性沙眼的患病率。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

PLoS Neglected Tropical Diseases Medicine-Infectious Diseases

CiteScore

7.40

自引率

10.50%

发文量

723

审稿时长

2-3 weeks

期刊介绍： PLOS Neglected Tropical Diseases publishes research devoted to the pathology, epidemiology, prevention, treatment and control of the neglected tropical diseases (NTDs), as well as relevant public policy. The NTDs are defined as a group of poverty-promoting chronic infectious diseases, which primarily occur in rural areas and poor urban areas of low-income and middle-income countries. Their impact on child health and development, pregnancy, and worker productivity, as well as their stigmatizing features limit economic stability. All aspects of these diseases are considered, including: Pathogenesis Clinical features Pharmacology and treatment Diagnosis Epidemiology Vector biology Vaccinology and prevention Demographic, ecological and social determinants Public health and policy aspects (including cost-effectiveness analyses).