Center for Sexuality and Health Disparities, University of Michigan, 400 N Ingalls St., Ann Arbor, MI, 48109, USA.
Department of Systems, Populations and Leadership, University of Michigan School of Nursing, Ann Arbor, MI, USA.
Arch Sex Behav. 2021 Apr;50(3):1067-1086. doi: 10.1007/s10508-020-01857-x. Epub 2021 Feb 9.
Coupled gay, bisexual, and other men who have sex with men (GBMSM) are at particularly high risk for HIV, and a clear understanding of behavioral risk is key to effective interventions. Accurate behavioral self-reports are a crucial component of valid sexual health research, yet reliability of these data remains understudied. This study aimed to quantify and identify predictors of dyadic discordance in reported 3-month anal intercourse (AI) occurrence and frequency. Using cross-sectional data from 407 male couples in the U.S. (2016-2017), we calculated proportional dyadic concordance and used dyad-level logistic and linear regression to identify demographic, behavioral, and relationship traits associated with the odds of discordant frequency reports and the relative difference between discordant partner reports. Couples had high levels of concordant reports of 3-month anal AI occurrence (97%) but low interpartner agreement in reported frequency (37%). After adjustment, the odds of discordance were significantly associated with dyadic employment and differences on the Communal Coping to Reduce HIV Threat Scale (CCS) (p < .05). Among frequency-discordant couples, the mean relative difference between partner reports was 52.80% ± 35.91% (M ± SD). After adjustment, relative differences between partners' reported AI frequencies were positively associated with interpartner differences in CCS (p < .05). These results indicate that among GBMSM couples in committed partnerships, self-reported sexual behavior data may be impacted by granularity, recall, and relationship characteristics. Further research in this area is warranted to better understand measurement error in self-reported sexual activity data.
男同性恋、双性恋和其他与男性发生性关系的男性（GBMSM）感染艾滋病毒的风险特别高，因此，准确了解行为风险是实施有效干预的关键。准确的行为自我报告是有效进行性健康研究的关键组成部分，但这些数据的可靠性仍研究不足。本研究旨在量化和确定报告的 3 个月肛门性交（AI）发生和频率的双性关系差异的预测因素。本研究使用美国 407 对男性伴侣（2016-2017 年）的横断面数据，计算了比例性关系一致性，并使用双变量逻辑和线性回归来确定与不一致的频率报告的几率以及不一致伴侣报告之间的相对差异相关的人口统计学、行为和关系特征。伴侣报告的 3 个月肛门 AI 发生情况的一致性水平很高（97%），但报告的频率的一致性水平较低（37%）。调整后，不一致的几率与对偶就业和减少艾滋病毒威胁的共同应对量表（CCS）上的差异（p <.05）显著相关。在频率不一致的伴侣中，伴侣报告的 AI 频率之间的平均相对差异为 52.80%±35.91%（M±SD）。调整后，伴侣报告的 AI 频率之间的相对差异与 CCS 上的伴侣间差异呈正相关（p <.05）。这些结果表明，在忠诚的男同性恋伴侣关系中，自我报告的性行为数据可能会受到粒度、记忆和关系特征的影响。需要在这一领域进行进一步研究，以更好地了解自我报告的性行为数据中的测量误差。
