Firdaus Ghuncha
Madras Institute of Development Studies, Chennai, Tamil Nadu, India.
Indian J Psychiatry. 2017 Apr-Jun;59(2):164-169. doi: 10.4103/psychiatry.IndianJPsychiatry_272_15.
Rural to urban migration has become a salient feature of the country. However, there is a dearth of study highlighting impact of this movement on mental health of the migrant people.
The main objective of the present study was to examine the relationship between specific components of social environment and psychological well-being of migrants in an urban center.
The National Capital Territory of Delhi was selected for intensive study and has an exploratory design supported by cross-sectional primary data.
A standardized questionnaire was used to obtain data about the socioeconomic characteristics of the respondents. For measuring the mental well-being, the World Health Organization Well-Being Index (WHO5) was used. The required information was procured through interview method from 1230 sampled respondents.
Influence of socioeconomic variables on mental well-being of the people was estimated through multivariate logistic regression methods. For different combinations of risk factors, five models were developed based on unstandardized likelihood coefficients.
Poor mental health was significantly higher among single/widow/divorced/separated (odds ratio [OR] =0.76, < 0.01), unskilled (OR = 2.26, < 0.01), daily wager (OR = 2.57, < 0.01), and illiterate (OR = 2.55, < 0.01). Longer year of immigration, younger age, and higher income level ( < 0.001) were positively related to mental health. Poor housing conditions ( < 0.001), adjustment problem ( < 0.001), and feeling insecure ( < 0.01) were independent predictors of poor mental health.
Socioeconomic and environmental problem caused by the migrants and faced by the migrants is required in-depth study to formulate comprehensive policies.
从农村到城市的人口迁移已成为该国的一个显著特征。然而,缺乏研究突出这种迁移对移民心理健康的影响。
本研究的主要目的是探讨城市中心社会环境的特定组成部分与移民心理健康之间的关系。
选择德里国家首都辖区进行深入研究,并采用横断面原始数据支持的探索性设计。
使用标准化问卷获取受访者的社会经济特征数据。为测量心理健康状况,采用了世界卫生组织幸福指数(WHO5)。通过访谈方法从1230名抽样受访者中获取所需信息。
通过多变量逻辑回归方法估计社会经济变量对人们心理健康的影响。针对不同的风险因素组合,基于非标准化似然系数开发了五个模型。
单身/丧偶/离婚/分居者(优势比[OR]=0.76,<0.01)、无技能者(OR = 2.26,<0.01)、日薪工人(OR = 2.57,<0.01)和文盲(OR = 2.55,<0.01)中,心理健康状况较差的比例显著更高。移民年份较长、年龄较小和收入水平较高(<0.001)与心理健康呈正相关。住房条件差(<0.001)、适应问题(<0.001)和感到不安全(<0.01)是心理健康状况较差的独立预测因素。
需要深入研究移民造成并面临的社会经济和环境问题,以制定全面政策。