Independent and Combined Influence of Homeownership, Occupation, Education, Income, and Community Poverty on Physical Health in Persons With Arthritis
Independent and Combined Influence of Homeownership, Occupation, Education, Income, and Community Poverty on Physical Health in Persons With Arthritis
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DOI：
10.1002/acr.20428
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发表时间：
2011-05-01
影响因子：
4.7
通讯作者：
Schwartz, Todd A.
中科院分区：
文献类型：
--
作者：
Callahan, Leigh F.;Martin, Kathryn Remmes;Schwartz, Todd A.
客观的。研究个人和社区层面的社会经济地位 (SES) 措施对自我报告的关节炎患者身体健康状况结果的独立和综合影响。方法。 2004 年至 2005 年，968 名参与者完成了一项电话调查，评估健康状况、慢性病、社区特征和社会人口变量。使用的个人层面 SES 指标包括住房拥有率、职业（专业或非专业）、教育程度（高中以下、高中学历和高中以上）和收入（45,000 美元）。社区贫困（2000 年美国人口普查块组中生活在贫困线以下的个人的百分比[低、中、高]）被用作社区层面的 SES 衡量标准。结果包括身体功能（医疗结果研究简表 12 第 2 版身体成分摘要 [PCS]）、功能残疾（健康评估问卷 [HAQ]）以及疾病控制和预防中心 (CDC) 健康相关生活质量 (HRQOL) 健康日身体活动天数和限制活动天数，并通过多变量回归进行分析。结果。当单独输入时，所有个人层面的 SES 变量均与较差的 PCS、HAQ 和 CDC HRQOL 评分显着相关 (P < 0.01)。家庭收入受到的影响更大，特别是
Objective. To examine the independent and combined influence of individual-and community-level socioeconomic status (SES) measures on physical health status outcomes in people with self-reported arthritis.Methods. From 2004-2005, 968 participants completed a telephone survey assessing health status, chronic conditions, community characteristics, and sociodemographic variables. Individual-level SES measures used included homeownership, occupation (professional or not), educational attainment (less than high school, high school degree, and more than high school), and income ($45,000). Community poverty (2000 US Census block group percentage of individuals living below the poverty line [low, medium, and high]) was used as a community-level SES measure. Outcomes were physical functioning (Medical Outcomes Study Short Form 12 version 2 physical component summary [PCS]), functional disability (Health Assessment Questionnaire [HAQ]), and the Centers for Disease Control and Prevention (CDC) Health-Related Quality of Life (HRQOL) Healthy Days physical and limited activity days, and were analyzed via multivariable regressions.Results. When entered separately, all individual-level SES variables were significantly (P < 0.01) associated with poorer PCS, HAQ, and CDC HRQOL scores. A higher magnitude of effect was seen for household income, specifically