Research Triangle Institute, 2150 Shattuck Ave, Suite 800, Berkeley, USA.
San José State University, College of Health and Human Sciences, One Washington Square, San José, USA.
Drug Alcohol Depend. 2022 Sep 1;238:109567. doi: 10.1016/j.drugalcdep.2022.109567. Epub 2022 Jul 11.
Differences in alcohol, tobacco, and other drug (ATOD) use by sexual identity vary across samples of women recruited using different sampling methods. We used propensity score (PS) weighting methods to address two methodological questions: (1) Do disparities between sexual minority women (SMW) and heterosexual women persist when differences in risk and protective factors are similarly distributed between groups, and (2) Does accounting for SMW-specific resiliency factors impact differences between non-probability samples of SMW?
Four samples included SMW from a longitudinal study with a nonprobability sample (n = 373), a national general population panel sample (n = 373), and a national LGBTQ-specific panel sample (n = 311), as well as a national probability sample of heterosexual women (n = 446). Between-groups analyses using double-robust PS weighted models estimated differences in ATOD use under hypothetical conditions in which samples have similar risk and protective factors.
After PS weighting, imbalance in confounders between SMW and heterosexual samples was substantially reduced, but not eliminated. In double-robust PS weighted models, SMW samples consistently had significantly greater odds of drug use than heterosexuals, with odds from 8.8 to 5.6 times greater for frequent marijuana use and 4.8-3.2 greater for other drug use. Few differences between SMW samples in ATOD outcomes or other variables remained after PS weighting.
Relative to heterosexual women, disparities in marijuana and other drug use among SMW are evident regardless of sampling strategy. The results provide some reassurance about the validity of large nonprobability samples, which remain an important recruitment strategy in research with SMW.
通过不同的抽样方法招募的女性样本中，性身份导致的酒精、烟草和其他药物（ATOD）使用差异存在差异。我们使用倾向评分（PS）加权方法来解决两个方法学问题：（1）当风险和保护因素在群体之间相似分布时，性少数女性（SMW）和异性恋女性之间的差距是否仍然存在；（2）是否考虑到 SMW 特有的弹性因素会影响 SMW 非概率样本之间的差异？
四个样本包括来自一个具有非概率样本的纵向研究的 SMW（n=373）、一个全国性一般人群面板样本（n=373）和一个全国性 LGBTQ 特定面板样本（n=311），以及一个全国性异性恋女性概率样本（n=446）。使用双重稳健 PS 加权模型进行组间分析，根据样本具有相似风险和保护因素的假设条件，估计 ATOD 使用的差异。
在 PS 加权后，SMW 和异性恋样本之间的混杂因素不平衡大大减少，但并未消除。在双重稳健 PS 加权模型中，SMW 样本使用药物的几率始终明显高于异性恋者，频繁使用大麻的几率高达 8.8 倍，其他药物的几率高达 5.6 倍。在 PS 加权后，SMW 样本在 ATOD 结果或其他变量方面的差异很少。
与异性恋女性相比，SMW 之间在大麻和其他药物使用方面的差异明显，无论采用何种抽样策略。这些结果为大型非概率样本的有效性提供了一些保证，这些样本仍然是研究 SMW 的重要招募策略。
