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

被引:0
|
作者
Mustaffa, Mohamed Sharif [1 ]
Bafghi, Zahra Ramazanian [2 ]
Ahmadi, Atefeh [3 ,6 ]
Haghdoost, AliAkbar [4 ]
Mansor, Mohamed Shafeq [5 ]
机构
[1] Univ Malaysia Sarawak, Fac Cognit Sci & Human Dev, Dept Counselling, Sarawak, Malaysia
[2] Kerman Univ Med Sci, Student Res Comm, Razi Fac Nursing & Midwifery, Kerman, Iran
[3] Kerman Univ Med Sci, Razi Fac Nursing & Midwifery, Nursing Res Ctr, Dept Counselling Midwifery, Kerman, Iran
[4] Kerman Univ Med Sci, Inst Futures Studies Hlth, Hlth Res Ctr, Kerman, Iran
[5] Univ Technol Malaysia, Fac Educ, Johor Baharu, Malaysia
[6] Kerman Univ Med Sci, Kerman, Iran
关键词
Anxiety disorders; subtypes; primary school students; sociodemographic factors; Spence Children's Anxiety Scale; mental health; MENTAL-HEALTH; MIDDLE CHILDHOOD; RISK-FACTORS; CHILDREN; ADOLESCENTS; STUDENTS; QUALITY; GENDER; PREVALENCE; DEPRESSION;
D O I
10.1177/09731342221142047
中图分类号
R72 [儿科学];
学科分类号
100202 ;
摘要
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.
引用
收藏
页码:242 / 251
页数:10
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