Potential Sociodemographic Predictors of Childhood Anxiety Disorders: A Cross-Sectional Study

IF 0.4 Q4 PEDIATRICS
M. S. Mustaffa, Zahra Ramazanian Bafghi, A. Ahmadi, A. Haghdoost, Mohamed Shafeq Mansor
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Abstract

Background: Previous studies have shown that the prevalence of anxiety among primary school students in rural areas is relatively high. Also, this stage is a critical developmental stage of academic life. Childhood anxiety disorders lead to significant disruption and interference with other aspects of life, including behavioral, emotional, cognitive, and academic achievement. Aims: This study aimed to find the frequency of 6 subtypes of anxiety disorders and to determine the potential sociodemographic factors of anxiety disorders among primary school students in a rural area of Malaysia. Methods: This was a cross-sectional study in which 411 students answered the Spence Children’s Anxiety Scale-Child version (SCAS-C). Descriptive analyses elucidated at-risk students, and multivariate analysis of variance and multiple linear regression presented potential predictors of anxiety disorders. Results: The most common abnormal level was for social phobia (SP) (n = 109/18.6%), and the least common were panic/agoraphobia (n = 85/14.1%) and physical injury fears (PIF) (n = 82/13.6%). Multivariate analysis of variance revealed that age (P < .05), gender (P < .05), father’s employment (P < .05), and mother’s educational level (EL) P < .05) were predictors of overall anxiety. A Tukey post-hoc test revealed that older children are more likely to suffer from overall anxiety, separation anxiety (SA), SP, and obsessive-compulsive problems. Children of low-income families were less likely to suffer from SA than those of middle-income families. Children of stay-at-home mothers were less likely to suffer from overall anxiety, SA, and SP than mothers who worked more than 8 h per day. Multiple linear regression could predict 6 models of anxiety based on sociodemographic factors. Conclusion: According to our findings in this study, promoting mental health by providing preventive strategies and screening programs is more recommended for students with sociodemographic risk factors for anxiety disorders.
儿童焦虑症的潜在社会形态预测因素:一项横断面研究
背景:已有研究表明,农村小学生焦虑患病率较高。同时,这一阶段也是学术生涯发展的关键阶段。儿童焦虑症会对生活的其他方面造成严重的破坏和干扰,包括行为、情感、认知和学业成就。目的:本研究旨在发现6种焦虑症亚型的频率,并确定马来西亚农村地区小学生焦虑障碍的潜在社会人口学因素。方法:采用横断面研究方法,对411名学生进行了斯宾塞儿童焦虑量表儿童版(SCAS-C)测试。描述性分析阐明了高危学生,多变量方差分析和多元线性回归是焦虑障碍的潜在预测因子。结果:异常程度以社交恐惧症(SP)最为常见(n = 109/18.6%),惊恐/广场恐怖症(n = 85/14.1%)和身体伤害恐惧(n = 82/13.6%)最为少见。多因素方差分析显示,年龄(P < 0.05)、性别(P < 0.05)、父亲的职业(P < 0.05)、母亲的受教育程度(EL) P < 0.05)是整体焦虑的预测因子。一项Tukey事后测试显示,年龄较大的儿童更有可能患有整体焦虑、分离焦虑(SA)、SP和强迫症问题。低收入家庭的孩子比中等收入家庭的孩子更不容易患SA。与每天工作超过8小时的母亲相比,全职母亲的孩子更不容易患整体焦虑、SA和SP。多元线性回归可以预测基于社会人口学因素的6种焦虑模型。结论:根据我们的研究结果,通过提供预防策略和筛查计划来促进心理健康更适合具有焦虑障碍社会人口危险因素的学生。
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来源期刊
CiteScore
0.70
自引率
16.70%
发文量
0
期刊介绍: Journal of Indian Association for Child and Adolescent Mental Health (JIACAM) is a peer reviewed online journal. Uniform Requirements for Manuscripts Submitted to Biomedical Journals (http://www.icmje.org) will be followed. JIACAM accepts original articles, review articles, case reports, conference announcements, summary of trials, letters to the editor and conference reports.
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