• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

S 量表的心理计量特性:评估一种心理思维模式,该模式调节社会经济地位与抑郁之间的关系。

Psychometric properties of the S-Scale: Assessing a psychological mindset that mediates the relationship between socioeconomic status and depression.

机构信息

Faculty of Psychology, Ruhr University Bochum, Mental Health Research and Treatment Center, Clinical Psychology and Psychotherapy, Bochum, Germany.

Universität Koblenz-Landau, Pain and Psychotherapy Research Lab, Landau in der Pfalz, Germany.

出版信息

PLoS One. 2021 Oct 14;16(10):e0258333. doi: 10.1371/journal.pone.0258333. eCollection 2021.

DOI:10.1371/journal.pone.0258333
PMID:34648554
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8516301/
Abstract

Individuals with low socioeconomic status (SES) are disproportionally affected by depressive disorders which are among the main causes for loss in healthy life years in adults worldwide. The main objective of the research presented here was to identify a psychological mindset of individuals with low SES and to investigate whether this mindset mediates the relationship between low SES and symptoms of depression. Towards these goals, a series of four studies was conducted: Study 1 identified a set of ten statements reflecting a psychological mindset associated with low SES using a population-based sample from Germany (N = 1,969). Study 2 cross-validated a psychometric scale (S-Scale) that was created based on these statements in a population-based sample from Germany (N = 3,907). Study 3 introduced a longitudinal perspective and showed that the S-Scale mediated the relationship between low SES and symptoms of depression assessed one year later in a German student sample (N = 1,275). Study 4 supported unidimensionality and construct validity of a unified version of the S-Scale and confirmed the mediation effect of the S-Scale for SES and depression while controlling for confounding variables (e.g., socially desirable responding) in a U.S. American convenience sample (N = 1,000). Evidence from four studies supported the reliability and validity of the S-Scale. Controlling for a psychological mindset as measured with this scale, low SES was no longer a predictor of depressive symptoms. The S-Scale can be used in clinical and research settings to assess a psychological mindset that puts individuals at risk for depression. Overall strengths of this series of studies include the use of population-based and longitudinal datasets and the application of findings to different operationalizations of SES. Future studies should investigate whether this mindset can be modified by psychological interventions and whether changes in this mindset predict improvements in depressive symptoms.

摘要

社会经济地位(SES)较低的个体受到抑郁障碍的不成比例影响,而抑郁障碍是全球成年人健康寿命损失的主要原因之一。本研究旨在确定 SES 较低个体的心理特征,并探讨这种心理特征是否在 SES 与抑郁症状之间起中介作用。为此,进行了四项研究:研究 1 使用德国基于人群的样本(N=1969),确定了一组反映与 SES 相关的心理特征的十个陈述。研究 2 在德国基于人群的样本(N=3907)中,对基于这些陈述创建的心理计量量表(S 量表)进行了交叉验证。研究 3 引入了纵向视角,表明 S 量表在一年后在德国学生样本(N=1275)中,在 SES 和抑郁症状之间起中介作用。研究 4 在一个美国便利样本中(N=1000),支持了 S 量表的单维性和结构效度,并证实了 S 量表在控制混杂变量(如社会期望反应)时,对 SES 和抑郁的中介作用。四项研究的证据支持了 S 量表的可靠性和有效性。控制了该量表测量的心理特征后,SES 不再是抑郁症状的预测因素。S 量表可用于临床和研究环境中,评估使个体处于抑郁风险的心理特征。本系列研究的总体优势包括使用基于人群和纵向数据集,以及将研究结果应用于 SES 的不同操作化。未来的研究应探讨这种心理特征是否可以通过心理干预来改变,以及这种心理特征的变化是否可以预测抑郁症状的改善。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d6a0/8516301/9741178078d5/pone.0258333.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d6a0/8516301/180c7d7c8c4c/pone.0258333.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d6a0/8516301/298e544e1e3a/pone.0258333.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d6a0/8516301/8c318629850a/pone.0258333.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d6a0/8516301/9741178078d5/pone.0258333.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d6a0/8516301/180c7d7c8c4c/pone.0258333.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d6a0/8516301/298e544e1e3a/pone.0258333.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d6a0/8516301/8c318629850a/pone.0258333.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d6a0/8516301/9741178078d5/pone.0258333.g004.jpg

相似文献

1
Psychometric properties of the S-Scale: Assessing a psychological mindset that mediates the relationship between socioeconomic status and depression.S 量表的心理计量特性:评估一种心理思维模式,该模式调节社会经济地位与抑郁之间的关系。
PLoS One. 2021 Oct 14;16(10):e0258333. doi: 10.1371/journal.pone.0258333. eCollection 2021.
2
Role of self-esteem in the association between mindset of socioeconomic status and well-being: A cross-lagged panel analysis.自尊在社会经济地位心态与幸福感之间的关系中的作用:交叉滞后面板分析。
Appl Psychol Health Well Being. 2023 Nov;15(4):1336-1351. doi: 10.1111/aphw.12439. Epub 2023 Mar 7.
3
Could a Growth Mindset Attenuate the Link Between Family Socioeconomic Status and Depressive Symptoms? Evidence from Chinese Adolescents.成长型思维模式能否减弱家庭社会经济地位与抑郁症状之间的联系?来自中国青少年的证据。
Psychol Res Behav Manag. 2024 Sep 24;17:3313-3326. doi: 10.2147/PRBM.S462230. eCollection 2024.
4
Social Inequalities and Depressive Symptoms in Adults: The Role of Objective and Subjective Socioeconomic Status.成人中的社会不平等与抑郁症状:客观和主观社会经济地位的作用。
PLoS One. 2017 Jan 20;12(1):e0169764. doi: 10.1371/journal.pone.0169764. eCollection 2017.
5
Association of Socioeconomic Status (SES) and Social Support with Depressive Symptoms among the Elderly in Singapore.新加坡老年人社会经济地位(SES)和社会支持与抑郁症状的关系。
Ann Acad Med Singap. 2014 Dec;43(12):576-87.
6
Psychometric properties of the Chinese version of the Center for Epidemiologic Studies Depression Scale-Revised in patients with cancer: A cross-sectional study.中文版流行病学研究抑郁量表修订版在癌症患者中的心理计量特性:一项横断面研究。
Int J Nurs Stud. 2019 Sep;97:14-20. doi: 10.1016/j.ijnurstu.2019.04.008. Epub 2019 Apr 19.
7
Psychometric validation of a growth Mindset and Team Communication Tool to measure self-views of growth mindset and team communication skills.测量成长心态和团队沟通技能的自我观点的成长心态和团队沟通工具的心理测量学验证。
J Am Pharm Assoc (2003). 2020 Nov-Dec;60(6):818-826. doi: 10.1016/j.japh.2020.04.012. Epub 2020 May 20.
8
The Psychometric Properties of the Center for Epidemiologic Studies Depression Scale in Chinese Primary Care Patients: Factor Structure, Construct Validity, Reliability, Sensitivity and Responsiveness.中国基层医疗患者中流行病学研究中心抑郁量表的心理测量学特性:因子结构、结构效度、信度、敏感性和反应性。
PLoS One. 2015 Aug 7;10(8):e0135131. doi: 10.1371/journal.pone.0135131. eCollection 2015.
9
Reliability and Validity of a Material Resources Scale and Its Association With Depression Among Young Men Who Have Sex With Men: The P18 Cohort Study.男男性行为青年物质资源量表的信效度及其与抑郁的关联:P18队列研究
Am J Mens Health. 2018 Sep;12(5):1384-1397. doi: 10.1177/1557988316651206. Epub 2016 May 25.
10
Development of a social inclusion index to capture subjective and objective life domains (Phase II): psychometric development study.发展一个社会包容指数来捕捉主观和客观的生活领域(第二阶段):心理测量发展研究。
Health Technol Assess. 2012;16(1):iii-vii, ix-xii, -1-241. doi: 10.3310/hta16010.

引用本文的文献

1
Depressive Symptoms Among Higher Education Students in Germany-A Systematic Review and Meta-Analysis.德国高等教育学生中的抑郁症状——一项系统综述与荟萃分析
Public Health Rev. 2024 Jun 10;45:1606983. doi: 10.3389/phrs.2024.1606983. eCollection 2024.
2
Exploring barriers and facilitators to women's intention and behavior to seek treatment for distressing sexual problems.探讨女性寻求治疗困扰性问题的意愿和行为的障碍和促进因素。
PLoS One. 2023 Jul 18;18(7):e0288205. doi: 10.1371/journal.pone.0288205. eCollection 2023.
3
To vaccinate or not to vaccinate!? Predictors of willingness to receive Covid-19 vaccination in Europe, the U.S., and China.

本文引用的文献

1
Relationships between Perceived Stress, Depression and Alcohol Use Disorders in University Students during the COVID-19 Pandemic: A Socio-Economic Dimension.新冠肺炎疫情期间大学生感知压力、抑郁与酒精使用障碍的关系:社会经济维度。
Int J Environ Res Public Health. 2020 Nov 28;17(23):8853. doi: 10.3390/ijerph17238853.
2
Global burden of 369 diseases and injuries in 204 countries and territories, 1990-2019: a systematic analysis for the Global Burden of Disease Study 2019.204 个国家和地区 1990-2019 年 369 种疾病和伤害导致的全球负担:2019 年全球疾病负担研究的系统分析。
Lancet. 2020 Oct 17;396(10258):1204-1222. doi: 10.1016/S0140-6736(20)30925-9.
3
接种还是不接种?!在欧洲、美国和中国,预测人们对 COVID-19 疫苗接种的意愿。
PLoS One. 2021 Dec 1;16(12):e0260230. doi: 10.1371/journal.pone.0260230. eCollection 2021.
The brief daily stressors screening tool: An introduction and evaluation.
简要日常压力源筛查工具:介绍与评估。
Stress Health. 2020 Dec;36(5):686-692. doi: 10.1002/smi.2965. Epub 2020 Jun 30.
4
Optimism and pessimism in the general population: Psychometric properties of the Life Orientation Test (LOT-R).普通人群中的乐观与悲观:生活取向测试(LOT-R)的心理测量特性。
Int J Clin Health Psychol. 2017 May-Aug;17(2):161-170. doi: 10.1016/j.ijchp.2017.02.003. Epub 2017 Mar 31.
5
Lifestyle choices and mental health: a longitudinal survey with German and Chinese students.生活方式选择与心理健康:一项德中大学生纵向调查
BMC Public Health. 2018 May 16;18(1):632. doi: 10.1186/s12889-018-5526-2.
6
Mental distress and perceived wealth, justice and freedom across eight countries: The invisible power of the macrosystem.精神困扰与感知到的财富、公正和自由:宏观系统的无形力量。
PLoS One. 2018 May 2;13(5):e0194642. doi: 10.1371/journal.pone.0194642. eCollection 2018.
7
Associations between socioeconomic status and psychological therapy outcomes: A systematic review and meta-analysis.社会经济地位与心理治疗结果的关系:系统评价和荟萃分析。
Depress Anxiety. 2018 Jun;35(6):560-573. doi: 10.1002/da.22765. Epub 2018 Apr 26.
8
Comparing Amazon's Mechanical Turk Platform to Conventional Data Collection Methods in the Health and Medical Research Literature.将亚马逊的 Mechanical Turk 平台与健康和医学研究文献中的传统数据收集方法进行比较。
J Gen Intern Med. 2018 Apr;33(4):533-538. doi: 10.1007/s11606-017-4246-0. Epub 2018 Jan 4.
9
How to Identify Narcissism With 13 Items? Validation of the German Narcissistic Personality Inventory-13 (G-NPI-13).如何用 13 项指标识别自恋?德国自恋人格量表 13 项(G-NPI-13)的验证。
Assessment. 2019 Jun;26(4):630-644. doi: 10.1177/1073191117740625. Epub 2017 Nov 9.
10
Statistical properties of four effect-size measures for mediation models.中介模型中四个效应量度量的统计特性。
Behav Res Methods. 2018 Feb;50(1):285-301. doi: 10.3758/s13428-017-0870-1.