von dem Knesebeck Olaf, Dragano Nico, Moebus Susanne, Jöckel Karl-Heinz, Erbel Raimund, Siegrist Johannes
Institut für Medizin-Soziologie, Universitätsklinikum Hamburg-Eppendorf.
Psychother Psychosom Med Psychol. 2009 May;59(5):186-93. doi: 10.1055/s-2008-1067421. Epub 2008 Jul 3.
Based on a large scale population study, associations between experienced non-reciprocity in social relationships and three health indicators (depressive symptoms, self-rated health, sleeping problems) are analysed. The norm of reciprocity is commonly defined as the obligation to return actions or services provided by another person. We use baseline survey data of the Heinz Nixdorf Recall Study. Participants (n = 4814) were randomly selected from mandatory lists of residency from three adjacent cities of the Ruhrregion (Germany) with a response rate of 55.8 %. Non-reciprocity is measured by a questionnaire containing three scales: "partnership", "parent-child", and "non-specific relationships". Depressive symptoms are assessed by the German short version of the CES-D scale, self-rated health by a single widely tested item and sleeping problems by an index consisting of three items. Associations are explored using logistic regression analyses with age, education, occupational position and two indicators of social support as control variables. Results show that men and women who experience non-reciprocity in social relationships have significantly elevated risks of depressive symptoms, poor self-rated health and sleeping problems. Associations decrease after controlling for age, education, occupational position and social support but remain significant in most cases. The reciprocity approach proposed here offers the opportunity to systematically explore negative aspects of social relationships and resulting health consequences.
基于一项大规模的人口研究,分析了社会关系中经历的非互惠与三种健康指标(抑郁症状、自评健康、睡眠问题)之间的关联。互惠规范通常被定义为回报他人提供的行为或服务的义务。我们使用了海因茨·尼克斯多夫召回研究的基线调查数据。参与者(n = 4814)从德国鲁尔区三个相邻城市的强制居住名单中随机选取,回复率为55.8%。非互惠通过一份包含三个量表的问卷来衡量:“伴侣关系”、“亲子关系”和“非特定关系”。抑郁症状通过CES-D量表的德语简版进行评估,自评健康通过一个经过广泛测试的单一项目进行评估,睡眠问题通过一个由三个项目组成的指数进行评估。使用逻辑回归分析来探索关联,将年龄、教育程度、职业地位和两个社会支持指标作为控制变量。结果表明,在社会关系中经历非互惠的男性和女性出现抑郁症状、自评健康不佳和睡眠问题的风险显著升高。在控制了年龄、教育程度、职业地位和社会支持后,关联有所降低,但在大多数情况下仍然显著。这里提出的互惠方法为系统探索社会关系的负面方面及其对健康的影响提供了机会。