Roee Hayek,Carrie A Karvonen-Gutierrez,Jonathan F Bean,Jack M Guralnik,Kenneth Covinsky,Jay R Hoffman,Michal Azmon,Galit Yogev-Seligmann,Gregory Krautner,Odelyah Saad,Yaniv Nudelman,Rebecca T Brown,Shmuel Springer
{"title":"中年人流动性问卷(MMQ)的编制与验证","authors":"Roee Hayek,Carrie A Karvonen-Gutierrez,Jonathan F Bean,Jack M Guralnik,Kenneth Covinsky,Jay R Hoffman,Michal Azmon,Galit Yogev-Seligmann,Gregory Krautner,Odelyah Saad,Yaniv Nudelman,Rebecca T Brown,Shmuel Springer","doi":"10.1093/gerona/glaf205","DOIUrl":null,"url":null,"abstract":"BACKGROUND\r\nMobility decline often begins in midlife and early identification of individuals at risk of accelerated deterioration can enable timely prevention. However, there is no validated self-report instrument that specifically assesses mobility in the middle-aged population.\r\n\r\nMETHODS\r\nThe Mobility in Middle-Age Questionnaire (MMQ) was developed through a seven-step Delphi process, consisting of 10 experts, involving item selection and content validation in both English and Hebrew, comprising two factors: (1) Current Mobility Ability and (2) One-Year Mobility Change. Psychometric properties were assessed in 610 U.S. and 594 Israeli middle-aged adults. Analyses included internal consistency, test-retest reliability, structural and construct validity (using the 10-item Physical Functioning scale (PF-10) from SF-36), and floor/ceiling effect assessments. A 'Potential Mobility Risk Zone' was defined as the lowest 20% of MMQ scores.\r\n\r\nRESULTS\r\nThe MMQ showed excellent internal consistency (Cronbach's α = 0.94 English; 0.92 Hebrew) and strong test-retest reliability (ICC = 0.89-0.90). Exploratory factor analysis explained 66% of variance; confirmatory factor analysis showed good fit (CFI = 0.99, TLI = 0.99, SRMR = 0.05). Construct validity was supported, with all pre-defined hypotheses confirmed. MMQ showed significantly lower ceiling effects than PF-10 (3.9% vs. 34.5% in U.S.; 0.17% vs. 25.25% in Israel, p < .001, large effect sizes). A score of 50 (20th percentile) was proposed as a preliminary \"Potential Mobility Risk\" Threshold.\r\n\r\nCONCLUSIONS\r\nThe MMQ is a reliable and valid tool for detecting early mobility decline in midlife. Longitudinal studies are needed to confirm its predictive value and responsiveness to change.","PeriodicalId":22892,"journal":{"name":"The Journals of Gerontology Series A: Biological Sciences and Medical Sciences","volume":"20 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2025-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Development and Validation of the Mobility in Middle-Age Questionnaire (MMQ).\",\"authors\":\"Roee Hayek,Carrie A Karvonen-Gutierrez,Jonathan F Bean,Jack M Guralnik,Kenneth Covinsky,Jay R Hoffman,Michal Azmon,Galit Yogev-Seligmann,Gregory Krautner,Odelyah Saad,Yaniv Nudelman,Rebecca T Brown,Shmuel Springer\",\"doi\":\"10.1093/gerona/glaf205\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"BACKGROUND\\r\\nMobility decline often begins in midlife and early identification of individuals at risk of accelerated deterioration can enable timely prevention. However, there is no validated self-report instrument that specifically assesses mobility in the middle-aged population.\\r\\n\\r\\nMETHODS\\r\\nThe Mobility in Middle-Age Questionnaire (MMQ) was developed through a seven-step Delphi process, consisting of 10 experts, involving item selection and content validation in both English and Hebrew, comprising two factors: (1) Current Mobility Ability and (2) One-Year Mobility Change. Psychometric properties were assessed in 610 U.S. and 594 Israeli middle-aged adults. Analyses included internal consistency, test-retest reliability, structural and construct validity (using the 10-item Physical Functioning scale (PF-10) from SF-36), and floor/ceiling effect assessments. A 'Potential Mobility Risk Zone' was defined as the lowest 20% of MMQ scores.\\r\\n\\r\\nRESULTS\\r\\nThe MMQ showed excellent internal consistency (Cronbach's α = 0.94 English; 0.92 Hebrew) and strong test-retest reliability (ICC = 0.89-0.90). Exploratory factor analysis explained 66% of variance; confirmatory factor analysis showed good fit (CFI = 0.99, TLI = 0.99, SRMR = 0.05). Construct validity was supported, with all pre-defined hypotheses confirmed. MMQ showed significantly lower ceiling effects than PF-10 (3.9% vs. 34.5% in U.S.; 0.17% vs. 25.25% in Israel, p < .001, large effect sizes). A score of 50 (20th percentile) was proposed as a preliminary \\\"Potential Mobility Risk\\\" Threshold.\\r\\n\\r\\nCONCLUSIONS\\r\\nThe MMQ is a reliable and valid tool for detecting early mobility decline in midlife. Longitudinal studies are needed to confirm its predictive value and responsiveness to change.\",\"PeriodicalId\":22892,\"journal\":{\"name\":\"The Journals of Gerontology Series A: Biological Sciences and Medical Sciences\",\"volume\":\"20 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2025-09-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"The Journals of Gerontology Series A: Biological Sciences and Medical Sciences\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1093/gerona/glaf205\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"The Journals of Gerontology Series A: Biological Sciences and Medical Sciences","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1093/gerona/glaf205","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
活动能力下降通常始于中年,早期识别有加速退化风险的个体可以及时预防。然而,目前还没有有效的自我报告工具专门评估中年人口的流动性。方法由10位专家组成的《中年流动能力问卷》(MMQ)采用七步德尔菲法编制,包括英语和希伯来语两种语言的项目选择和内容验证。问卷包含两个因素:(1)当前流动能力和(2)一年流动能力变化。对610名美国儿童的心理测量特性进行了评估594名以色列中年人。分析包括内部一致性、测试重测信度、结构效度和构造效度(使用SF-36的10项身体功能量表(PF-10))以及地板/天花板效应评估。“潜在流动性风险区”被定义为MMQ得分最低的20%。结果MMQ具有良好的内部一致性(英语Cronbach′s α = 0.94;希伯来语Cronbach′s α = 0.92)和较强的重测信度(ICC = 0.89 ~ 0.90)。探索性因子分析解释了66%的方差;验证性因子分析拟合良好(CFI = 0.99, TLI = 0.99, SRMR = 0.05)。结构效度得到支持,所有预先定义的假设都得到证实。MMQ的上限效应明显低于PF-10(美国为3.9% vs. 34.5%;以色列为0.17% vs. 25.25%, p < 0.001,效应量大)。50分(第20百分位)作为初步的“潜在流动风险”阈值。结论MMQ是一种可靠、有效的检测中年早期活动能力下降的工具。需要进行纵向研究来证实其预测价值和对变化的反应性。
Development and Validation of the Mobility in Middle-Age Questionnaire (MMQ).
BACKGROUND
Mobility decline often begins in midlife and early identification of individuals at risk of accelerated deterioration can enable timely prevention. However, there is no validated self-report instrument that specifically assesses mobility in the middle-aged population.
METHODS
The Mobility in Middle-Age Questionnaire (MMQ) was developed through a seven-step Delphi process, consisting of 10 experts, involving item selection and content validation in both English and Hebrew, comprising two factors: (1) Current Mobility Ability and (2) One-Year Mobility Change. Psychometric properties were assessed in 610 U.S. and 594 Israeli middle-aged adults. Analyses included internal consistency, test-retest reliability, structural and construct validity (using the 10-item Physical Functioning scale (PF-10) from SF-36), and floor/ceiling effect assessments. A 'Potential Mobility Risk Zone' was defined as the lowest 20% of MMQ scores.
RESULTS
The MMQ showed excellent internal consistency (Cronbach's α = 0.94 English; 0.92 Hebrew) and strong test-retest reliability (ICC = 0.89-0.90). Exploratory factor analysis explained 66% of variance; confirmatory factor analysis showed good fit (CFI = 0.99, TLI = 0.99, SRMR = 0.05). Construct validity was supported, with all pre-defined hypotheses confirmed. MMQ showed significantly lower ceiling effects than PF-10 (3.9% vs. 34.5% in U.S.; 0.17% vs. 25.25% in Israel, p < .001, large effect sizes). A score of 50 (20th percentile) was proposed as a preliminary "Potential Mobility Risk" Threshold.
CONCLUSIONS
The MMQ is a reliable and valid tool for detecting early mobility decline in midlife. Longitudinal studies are needed to confirm its predictive value and responsiveness to change.