埃塞俄比亚儿童注意缺陷多动障碍患病率及其相关因素,2024:系统回顾和荟萃分析。

Frontiers in child and adolescent psychiatry Pub Date : 2024-08-23 eCollection Date: 2024-01-01 DOI:10.3389/frcha.2024.1425841
Molla Azmeraw, Dessie Temesgen, Amare Kassaw, Alemu Birara Zemariam, Gashaw Kerebeh, Gebremeskel Kibret Abebe, Addis Wondmagegn Alamaw, Biruk Beletew Abate
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引用次数: 0

摘要

注意缺陷多动障碍(ADHD)是一种影响儿童的神经精神疾病。其大小因面积而异,从0.2%到26.8%不等。尽管存在争议,但文化和地理位置可能对全球范围内ADHD的流行病学影响很小或没有影响。尽管存在这种差异,但在埃塞俄比亚,关于注意力缺陷多动障碍的全国患病率和发病地点的争论尚不清楚。因此,本研究旨在评估儿童ADHD的总体患病率及其影响因素。方法:检索谷歌Scholar、PubMed、Scopus、EMBASE、Web of Science、ScienceDirect、机构资源库等电子数据库。涵盖儿童ADHD患病率和/或危险因素的研究也被纳入该收集。乔安娜布里格斯研究所的质量评级工具被用来评估每项研究的质量。使用Microsoft Excel 2019提取数据,使用STATA 17.0进行统计分析。使用随机效应模型,我们评估了ADHD的综合患病率和相关因素。采用Cochrane q检验和i2检验统计量对异质性进行量化。此外,采用漏斗图和Egger检验检验发表偏倚。用加尔布雷斯图来说明异常值。并进行了敏感性分析。结果:本研究共纳入6篇文章,涉及4338名受试者。ADHD的总患病率估计值为8.81%[95%可信区间(CI), 4.52-13.11;i2 = 96.95%;p = 0.001]。6-12岁[调整优势比(AOR) = 3.51 (95% CI, 1.38 ~ 5.64), i2 = 0%;P = 0.001),男性(优势比= 1.94 (95% CI, 1.09 - -2.79),我2 = 0%;P = 0.001],与单亲生活[AOR = 4.92 (95% CI, 1.24-861), i2 = 0%;P = 0.001]为显著变量。结论和建议:埃塞俄比亚每12名儿童中就有1名患有多动症。生活在单亲家庭,是男性,年龄在6到12岁之间是患多动症的危险因素。要确定ADHD的真正影响,可能需要进行全国性的大样本研究。改善学校卫生服务及早发现ADHD并减轻其长期影响可能是至关重要的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The prevalence of attention-deficit hyperactivity disorder and its associated factors among children in Ethiopia, 2024: a systematic review and meta-analysis.

Introduction: Attention-deficit hyperactivity disorder (ADHD) is a neuropsychiatric condition that affects children. Its magnitude varies by area, ranging from 0.2% to 26.8%. Even though there is debate, culture and geographical location may have little or no influence on the epidemiology of ADHD worldwide. Despite this variation, debate over the national prevalence and location of ADHD is unknown in Ethiopia. Therefore, this study aimed to assess the pooled prevalence of ADHD and its contributing factors among children.

Methods: Electronic databases, including Google Scholar, PubMed, Scopus, EMBASE, Web of Science, ScienceDirect, and institutional repositories, were searched. The studies that covered the prevalence and/or risk factors of ADHD in children were included in the collection. The Joanna Briggs Institute quality rating tool was used to rate the quality of each study. The data were extracted using Microsoft Excel 2019, and the statistical analysis was performed using STATA 17.0. Using a random-effects model, we evaluated the combined prevalence of ADHD and associated factors. The Cochrane Q-test and I 2 test statistics were used to quantify the heterogeneity. Furthermore, publication bias was examined using funnel plot graphs and Egger's tests. A Galbraith plot was employed to illustrate outliers. Sensitivity analysis was also applied.

Result: This study included a total of six articles with 4,338 participants. The pooled prevalence estimate of ADHD was 8.81% [95% confidence interval (CI), 4.52-13.11; I 2 = 96.95%; P = 0.001]. Age 6-12 [adjusted odds ratio (AOR) = 3.51 (95% CI, 1.38-5.64), I 2 = 0%; P = 0.001], being male [AOR = 1.94 (95% CI, 1.09-2.79), I 2 = 0%; P = 0.001], and living with a single parent [AOR = 4.92 (95% CI, 1.24-861), I 2 = 0%; P = 0.001] were significant variables.

Conclusion and recommendation: One out of every 12 children in Ethiopia suffers from ADHD. Living with a single parent, being male, and being between the ages of 6 and 12 were risk factors for ADHD. A nationwide study with a large sample size may be required to ascertain the true impact of ADHD. It may be crucial to improve school health services to identify ADHD early and lessen its long-term effects.

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