首页> 外文期刊>Aging & Mental Health >Risk factors and mediating pathways of loneliness and social support in community-dwelling older adults
【24h】

Risk factors and mediating pathways of loneliness and social support in community-dwelling older adults

机译:社区居民中老年人孤独感和社会支持的风险因素和中介途径

获取原文
获取原文并翻译 | 示例
           

摘要

Objectives: To develop biopsychosocial models of loneliness and social support thereby identifying their key risk factors in an Irish sample of community-dwelling older adults. Additionally, to investigate indirect effects of social support on loneliness through mediating risk factors. Methods: A total of 579 participants (400 females; 179 males) were given a battery of biopsychosocial assessments with the primary measures being the De Jong Gierveld Loneliness Scale and the Lubben Social Network Scale along with a broad range of secondary measures. Analysis: Bivariate correlation analyses identified items to be included in separate psychosocial, cognitive, biological and demographic multiple regression analyses. The resulting model items were then entered into further multiple regression analyses to obtain overall models. Following this, bootstrapping mediation analyses was conducted to examine indirect effects of social support on the subtypes (emotional and social) of loneliness. Results: The overall model for (1) emotional loneliness included depression, neuroticism, perceived stress, living alone and accommodation type, (2) social loneliness included neuroticism, perceived stress, animal naming and number of grandchildren and (3) social support included extraversion, executive functioning (Trail Making Test B-time), history of falls, age and whether the participant drives or not. Social support influenced emotional loneliness predominantly through indirect means, while its effect on social loneliness was more direct. Conclusions: These results characterise the biopsychosocial risk factors of emotional loneliness, social loneliness and social support and identify key pathways by which social support influences emotional and social loneliness. These findings highlight issues with the potential for consideration in the development of targeted interventions.View full textDownload full textKeywordsmental health measures, loss/bereavement/life events, physical health measures, psychological and social aspects, personalityRelated var addthis_config = { ui_cobrand: "Taylor & Francis Online", services_compact: "citeulike,netvibes,twitter,technorati,delicious,linkedin,facebook,stumbleupon,digg,google,more", pubid: "ra-4dff56cd6bb1830b" }; Add to shortlist Link Permalink http://dx.doi.org/10.1080/13607863.2011.629092
机译:目的:建立孤独感和社会支持的生物心理社会模型,从而在爱尔兰社区居住的老年人样本中确定其主要危险因素。此外,通过调解风险因素来调查社会支持对孤独感的间接影响。方法:总共对579名参与者(400名女性; 179名男性)进行了一系列的生物心理社会评估,主要指标为De Jong Gierveld孤独感量表和Lubben社会网络量表以及广泛的辅助量度。分析:双变量相关分析确定了要纳入单独的社会心理,认知,生物学和人口统计学多元回归分析的项目。然后将生成的模型项输入到进一步的多元回归分析中,以获得整体模型。此后,进行了自举中介分析,以检验社会支持对孤独症亚型(情绪和社会)的间接影响。结果:(1)情绪孤独的整体模型包括抑郁,神经质,知觉压力,独居和适应类型;(2)社会孤独感包括神经质,知觉压力,动物命名和孙子数;(3)社会支持包括外向性,执行功能(跟踪测验B次),跌倒的历史记录,年龄以及参与者是否开车。社会支持主要通过间接手段影响情感孤独感,而对社会孤独感的影响则更为直接。结论:这些结果表征了情感孤独,社交孤独和社会支持的生物心理社会危险因素,并确定了社交支持影响情感和社交孤独的关键途径。这些发现突出了在制定有针对性的干预措施时可能需要考虑的问题。弗朗西斯在线”,services_compact:“ citeulike,netvibes,twitter,technorati,美味,linkedin,facebook,stumbleupon,digg,google,更多”,发布号:“ ra-4dff56cd6bb1830b”};添加到候选列表链接永久链接http://dx.doi.org/10.1080/13607863.2011.629092

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号