Ardian Nahid, Mazloomy Mahmoudabad Seyed Saeid, Ardian Mahdi, Karimi Masoud
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Glob J Health Sci. 2014 May 9;6(5):55-62. doi: 10.5539/gjhs.v6n5p55.
Since the mental health of marginal settlers (non-native population) may affect other citizens' health, the present study attempts to investigate the mental health status of marginal settlers of Yazd.
MATERIALS & METHODS: this study was a descriptive, cross-sectional research, in which 400 of non-native and native population have participated. To study mental health status of people, a questionnaire was used. The first section of this questionnaire was the 28-item questionnaire of GHQ and the second section dealt with demographic characteristics such as age, sex, employment status, household income, and educational level of the father of the family. The collected data was analyzed using statistical operations of Pearson correlation coefficient, T Student, univariate Anova, and non-parametric Chi Square.
The results revealed that the average scores of general health were 20.09±9.84 and 17.04±9.54 for native and non-native population, respectively. Among subscales of general health, the highest and lowest average scores belonged to social dysfunctions, which showed a dangerous mental health status, and depression, respectively. There was significant difference between average score of general health and educational level of the father of the family (p<.001). The temporary employment and leased household differs significantly from the average score of general health among native population. It was indicated that sex was one of the most powerful predictors of mental health and people had more mental health when they grew older. Anxiety was the strongest predictor of general health for both groups.
It seems that background factors such as educational level and employment status effect general health of people more than living in marginal settlement.
由于边缘定居者(非本地人口)的心理健康可能会影响其他公民的健康,本研究试图调查亚兹德边缘定居者的心理健康状况。
本研究为描述性横断面研究,400名非本地人和本地人参与其中。为研究人们的心理健康状况,使用了一份问卷。该问卷的第一部分是28项的一般健康问卷(GHQ),第二部分涉及人口统计学特征,如年龄、性别、就业状况、家庭收入以及家庭父亲的教育水平。所收集的数据使用皮尔逊相关系数、T检验、单因素方差分析和非参数卡方检验等统计操作进行分析。
结果显示,本地人和非本地人的总体健康平均得分分别为20.09±9.84和17.04±9.54。在总体健康的子量表中,平均得分最高和最低的分别是社会功能障碍(表明心理健康状况危险)和抑郁。总体健康平均得分与家庭父亲的教育水平之间存在显著差异(p<.001)。临时就业和租赁家庭在本地人口中与总体健康平均得分有显著差异。结果表明,性别是心理健康最有力的预测因素之一,并且人们年龄越大心理健康状况越好。焦虑是两组总体健康最强的预测因素。
似乎教育水平和就业状况等背景因素对人们总体健康的影响大于居住在边缘定居点的影响。