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首页> 外文期刊>Sexually transmitted diseases >Consistency and reliability of self-reported lifetime number of heterosexual partners by gender and age in a cohort study.
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Consistency and reliability of self-reported lifetime number of heterosexual partners by gender and age in a cohort study.

机译:一项队列研究中按性别和年龄自我报告的异性伴侣终生数目的一致性和可靠性。

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摘要

BACKGROUND: The reported number of sexual partners is a variable used extensively in sexual health research. However, the reliability and consistency of this measure, and the statistical assessment of these attributes, are not well understood. METHODS: Using data at ages 21, 26, and 32 years from a New Zealand birth cohort, we compared responses on the lifetime number of heterosexual sex partners to assess reliability and consistency. Differences by gender and age were considered, and the effect of number of sexual partners. A variety of analytical methods were used to explore statistical challenges of these data including variance estimation, fractional polynomial transformations, and quantile regression. RESULTS: We found some level of discrepancy between reports of the number of sexual partners when assessed at different times is common, driven by those reporting a high number of partners who were disproportionately men. Men reported a higher lifetime number of partners than women at each age, and there were statistically significant differences by gender in (a) consistency between reports at different ages, and (b) reliability of reports as measured by both the Intraclass Correlation Coefficient and the Kappa statistic. CONCLUSIONS: When considering reliability, multiple statistical approaches are necessary or conclusions can be misleading. Variance components should be examined when considering the Intraclass Correlation Coefficient. When modelling, robust methods like fractional polynomials and quantile regression should be employed to accommodate nonlinearity. Sensitivity analyses excluding participants whose partner number is in the upper 5% to 25% are informative, as these were shown to have the highest discrepancies.
机译:背景:报道的性伴侣数量是在性健康研究中广泛使用的变量。但是,这种措施的可靠性和一致性以及对这些属性的统计评估尚不十分清楚。方法:使用来自新西兰出生队列的21、26和32岁的数据,我们比较了对异性伴侣的终生数量的反应,以评估信度和一致性。考虑了性别和年龄的差异,以及性伴侣数量的影响。多种分析方法被用于探索这些数据的统计挑战,包括方差估计,分数多项式变换和分位数回归。结果:我们发现,在不同时间进行评估时,关于性伴侣数量的报告之间存在一定程度的差异,这是由于那些报告称伴侣中男性比例过高的人所致。在各个年龄段,男性报告的伴侣终生人数都比女性高,并且在性别方面,统计上存在显着差异:(a)不同年龄的报告之间的一致性,以及(b)通过类内相关系数和Kappa统计信息。结论:在考虑可靠性时,必须采用多种统计方法,否则结论可能会产生误导。在考虑类内相关系数时,应检查方差成分。建模时,应采用分数多项式和分位数回归之类的鲁棒方法来适应非线性。敏感性分析排除了伴侣数量在5%到25%之间的参与者,这是有益的,因为这些参与者之间的差异最大。

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