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Socio-Demographic Variables, General Psychological Well-Being and the Mental Health Continuum in an African Context

机译:非洲背景下的社会人口统计学变量,总体心理健康状况和心理健康连续体

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摘要

Age, gender, marital status, education attainment, employment status, and environmental setting explain different amounts of variance in psychological well-being and mental health. Inconsistent findings are reported for the socio-demographic variables in psychological well-being depending amongst others on the definition and measurement of well-being, context and the nature of the population. The present study explored the association of socio-demographic variables in an African context using two models that conceptualise and measure well-being as a holistic integrated and complex construct, namely the General Psychological Well-being model (GPW) and the Mental Health Continuum model (MHC). The study was conducted among an African sample in the North West Province of South Africa. A sample of 459 male and female Setswana-speaking adults from rural and urban areas completed measures of general psychological well-being and the mental health continuum. Descriptive statistics, correlations, cross-tabulations and regression analyses were computed. Findings indicate that socio-demographic variables play a role in determining holistic psychological well-being in a South African Setswana-speaking community. Urban living, employment, education and being married were associated with higher psychological well-being. Rural or urban environmental setting, followed by employment status, accounted for the greatest variance in psychological well-being measures. Age and gender were not significantly associated with well-being. The findings suggest that the current state of African rural living is detrimental to well-being. Through employment being an index of socio-economic status, the unemployed experience poor well-being. Future research efforts to explore the mechanisms of these relationships, and context-relevant intervention programmes are recommended.
机译:年龄,性别,婚姻状况,受教育程度,就业状况和环境设置可以解释心理健康和心理健康方面的差异。据报告,关于心理健康的社会人口统计学变量存在不一致的发现,这主要取决于对福利的定义和衡量,环境和人口的性质。本研究使用两种概念将幸福感作为整体综合和复杂的结构进行概念化和测量,探索了非洲背景下社会人口统计学变量的关联,即一般心理幸福感模型(GPW)和心理健康连续性模型(MHC)。该研究是在南非西北省的一个非洲样本中进行的。对来自农村和城市地区的459名讲Setswana的男女进行了抽样,他们完成了总体心理健康和心理健康连续性的测量。计算描述性统计,相关性,交叉表和回归分析。研究结果表明,社会人口统计学变量在决定南非塞斯瓦纳语社区的整体心理健康中发挥着作用。城市生活,就业,教育和结婚与更高的心理健康相关。农村或城市环境设置,其次是就业状况,是心理健康措施差异最大的原因。年龄和性别与幸福感没有显着相关。研究结果表明,非洲农村生活的当前状况不利于幸福。由于就业是社会经济地位的指标,失业者的生活状况很差。建议进一步研究以探索这些关系的机制以及与情境相关的干预计划。

著录项

  • 来源
    《Social Indicators Research》 |2012年第3期|p.419-442|共24页
  • 作者单位

    Psychology Department, School for Psychosocial Behavioural Sciences, North-West University, Private Bag X 6001, Potchefstroom, 2520, South Africa;

    Psychology Department, School for Psychosocial Behavioural Sciences, North-West University, Private Bag X 6001, Potchefstroom, 2520, South Africa;

    Psychology Department, School for Psychosocial Behavioural Sciences, North-West University, Private Bag X 6001, Potchefstroom, 2520, South Africa;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Psychological well-being; Mental health; Mental health continuum; Socio-demographic; African context;

    机译:心理健康;心理健康;心理健康连续体;社会人口统计学;非洲背景;
  • 入库时间 2022-08-18 01:31:40

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