Child Development Centre, Thiruvananthapuram Medical College, Thiruvananthapuram, 695 011, Kerala, South India,
Indian J Pediatr. 2013 Nov;80 Suppl 2:S160-4. doi: 10.1007/s12098-013-1231-4. Epub 2013 Oct 5.
Development of Anxiety Disorders (AD) among adolescents is the interplay of risk and protective factors that have a biological and environmental basis. This study documents the predictive factors associated with the presence of AD among adolescents in India.
The authors prospectively collected data for 500 adolescents in a community with independent, trained raters. Data on the dependent variable of AD and its subtypes was collected with Screen for Child Anxiety Related Emotional Disorders (SCARED), Socio-economic status with Modified Kuppuswamy Scale, depression with Beck Depression Inventory and the other independent variables with a specially designed proforma. The predictive factors for the presence of AD were analyzed with univariate and multivariate regression analyses appropriately, and a parsimonious predictive model was built.
Gender (adjusted OR = 1.96), and presence of Depressive Disorder (adjusted OR = 24.14) emerged as independent risk factors. Level of education came-out as a protective factor (adjusted OR = 0.66). Adolescent girls were at risk of developing Separation Anxiety Disorder (SeAD) (adjusted OR = 3.51) and Social Anxiety Disorder (SoAD) (adjusted OR = 1.69). Level of education had a protective influence on SeAD (adjusted OR = 0.39) and SoAD (adjusted OR = 0.59) among those doing high school. This protective effect increased if they were in higher-secondary school for SeAD (adjusted OR = 0.21) and SoAD (adjusted OR = 0.22). In the multivariate model age of the adolescent also gained significance and the 3-factor model had a good model fit. Panic Disorder and Generalized Anxiety Disorder were not related to any specific variable.
Identifying the factors associated with AD and the subtypes can be used to predict, prevent or treat these disorders in this population. Educating adolescent girls to higher-secondary school level seem to be an important step in this direction.
青少年焦虑障碍(AD)的发展是具有生物和环境基础的风险和保护因素相互作用的结果。本研究记录了与印度青少年 AD 存在相关的预测因素。
作者前瞻性地在一个社区中收集了 500 名青少年的数据,这些数据由独立的、受过训练的评估人员收集。使用儿童焦虑相关情绪障碍筛查表(SCARED)收集 AD 及其亚型的因变量数据,使用改良库珀斯瓦米量表收集社会经济地位数据,使用贝克抑郁量表收集抑郁数据,使用专门设计的表格收集其他自变量数据。使用单变量和多变量回归分析适当分析 AD 存在的预测因素,并建立一个简约的预测模型。
性别(调整后的优势比[OR] = 1.96)和抑郁障碍的存在(调整后的 OR = 24.14)是独立的危险因素。教育程度是保护因素(调整后的 OR = 0.66)。青少年女孩患分离焦虑障碍(SeAD)(调整后的 OR = 3.51)和社交焦虑障碍(SoAD)(调整后的 OR = 1.69)的风险较高。教育程度对 SeAD(调整后的 OR = 0.39)和 SoAD(调整后的 OR = 0.59)有保护作用,特别是对那些正在读高中的青少年。如果他们在高中阶段,则这种保护作用会增加(调整后的 OR = 0.21 和 0.22)。在多变量模型中,青少年的年龄也具有显著性,三因素模型具有良好的模型拟合度。恐慌症和广泛性焦虑症与任何特定变量均无关。
确定与 AD 及其亚型相关的因素可以用于预测、预防或治疗该人群中的这些疾病。将少女教育提高到高中水平似乎是朝着这个方向迈出的重要一步。