The Annual American Men's Internet Survey of Behaviors of Men Who Have Sex With Men in the United States: 2017 Key Indicators Report
The Annual American Men's Internet Survey of Behaviors of Men Who Have Sex With Men in the United States: 2017 Key Indicators Report
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DOI：
10.2196/16847
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发表时间：
2020-04-01
影响因子：
8.5
通讯作者：
Sanchez, Travis
中科院分区：
文献类型：
--
作者：
Zlotorzynska, Maria;Cantu, Cera;Sanchez, Travis
美国男性互联网调查（英语：American Men's Internet Survey，AMIS）是一项针对居住在美国的男男性行为者（英语：Men who have sex with men）的年度网络行为调查。本快速监测报告描述了第五个数据收集周期（2017年7月至2017年11月：AMIS 2017）。主要指标与以往报告的非盟特派团各周期的指标相同（2013年12月至2014年5月：非盟特派团2013年; 2014年11月至2015年4月：非盟特派团2014年; 2015年9月至2016年4月：非盟特派团2015年; 2016年9月至2017年2月：非盟特派团2016年）。自2016年以来，非盟特派团的方法没有实质性变化。MSM是通过横幅广告和电子邮件爆炸从各种网站招募的。此外，来自AMIS 2016的参与者同意重新联系未来的研究，并通过电子邮件发送到AMIS 2017的链接。男性有资格参加，如果他们年龄≥ 15岁，居住在美国，提供有效的美国区域改善计划代码，并报告曾与男性发生性关系或被确定为同性恋或双性恋。这项分析仅限于那些报告在过去12个月内与男性伴侣进行口交或肛交的人。我们使用多变量回归模型研究了人口统计学和招募特征（P
The American Men's Internet Survey (AMIS) is an annual Web-based behavioral survey of men who have sex with men (MSM) who live in the United States. This Rapid Surveillance Report describes the fifth cycle of data collection (July 2017 to November 2017: AMIS 2017). The key indicators are the same as those previously reported for past AMIS cycles (December 2013 to May 2014: AMIS 2013; November 2014 to April 2015: AMIS 2014; September 2015 to April 2016: AMIS 2015; and September 2016 to February 2017: AMIS 2016). The AMIS methodology has not substantively changed since AMIS 2016. The MSM were recruited from a variety of websites using banner advertisements and email blasts. Additionally, participants from AMIS 2016 who agreed to be recontacted for future research were emailed a link to AMIS 2017. Men were eligible to participate if they were aged >= 15 years, resided in the United States, provided a valid US zone improvement plan code, and reported ever having sex with a man or identified as gay or bisexual. The analysis was limited to those who reported having oral or anal sex with a male partner in the past 12 months. We examined demographic and recruitment characteristics using multivariable regression modeling (P