Section of Psychiatric Epidemiology- LIM 23, Department and Institute of Psychiatry, University of Sao Paulo.
Department of Epidemiology, Columbia University.
Psychol Addict Behav. 2018 Jun;32(4):415-425. doi: 10.1037/adb0000369.
We investigated the dimensionality and possible measurement bias of ICD-11 Nicotine Dependence (ND) criteria in a sample of smokers from a middle-income country. Data are from the São Paulo Megacity Project (part of World Mental Health Surveys) collected between 2005 and 2007 (n = 5,037). The current analyses were restricted to the 1,388 participants who smoked at least once a week for 2 months in their lifetime. Item response theory (IRT) was used to investigate the severity and discrimination properties of 8 selected criteria. Additionally, differential criteria functioning (DCF) with sociodemographic characteristics (income, gender, age, employment status, marital status, and education) was investigated. All analyses were performed in Mplus software taking into account complex survey design features. IRT results indicated that the criterion Given Up had the lowest probability of endorsement (highest severity). The criterion Larger/Longer had the highest probability of endorsement (lowest severity), but the highest value of discrimination. Physical Withdrawal had the lowest discrimination property. No DCF was found both at criterion- and disorder-level, which would tear measurement bias. The absence of measurement bias in all sociodemographic, psychiatric, and medical subgroups gives psychometrical support to this set of criteria for ICD-11 ND diagnosis. (PsycINFO Database Record
我们在一个中等收入国家的吸烟者样本中研究了 ICD-11 尼古丁依赖(ND)标准的维度和可能的测量偏差。数据来自圣保罗大都市项目(世界心理健康调查的一部分),收集于 2005 年至 2007 年(n=5037)。目前的分析仅限于至少每周吸烟一次且在其一生中吸烟 2 个月的 1388 名参与者。项目反应理论(IRT)用于研究 8 项选定标准的严重程度和区分特性。此外,还研究了与社会人口特征(收入、性别、年龄、就业状况、婚姻状况和教育)有关的差异标准功能(DCF)。所有分析均在 Mplus 软件中进行,考虑到复杂的调查设计特征。IRT 结果表明,放弃标准的可能性最低(最严重)。更大/更长标准的可能性最高(最低严重程度),但区分度最高。身体戒断的区分度最低。在标准和疾病水平都没有发现 DCF,这会导致测量偏差。在所有社会人口统计学、精神科和医学亚组中都没有测量偏差,这为 ICD-11 ND 诊断的这组标准提供了心理测量支持。