Literature DB >> 27244770

The Annual American Men's Internet Survey of Behaviors of Men Who have Sex with Men in the United States: 2014 Key Indicators Report.

Travis Sanchez1, Maria Zlotorzynska, Craig Sineath, Erin Kahle, Patrick Sullivan.   

Abstract

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. The purpose of this Rapid Surveillance Report is to report on the second cycle of data collection (November 2014 through April 2015; AMIS-2014) on the same key indicators previously reported for AMIS (December 2013 through May 2014; AMIS-2013). The AMIS survey methodology has not substantively changed since AMIS-2013. MSM were recruited from a variety of websites using banner advertisements or email blasts. Adult men currently residing in the United States were eligible to participate if they had ever had sex with a man. We examined demographic and recruitment characteristics using multivariable regression modeling (P<.05) stratified by the participants' self-reported human immunodeficiency virus (HIV) status. The AMIS-2014 round of data collection resulted in 9248 completed surveys from MSM representing every US state. Participants were mainly white, 40 years or older, living in the US South, living in urban/suburban areas, and recruited from a general social networking website. Self-reported HIV prevalence was 11.34% (1049/9248). Compared with HIV-negative/unknown status participants, HIV-positive participants were more likely to have had anal sex without a condom with any male partner in the past 12 months (76.55% vs 67.17%; P<.001) and more likely to have had anal sex without a condom with their last male sex partner who was discordant/unknown HIV status (39.66% vs 18.77%; P<.001). Marijuana and other illicit substance use in the past 12 months was more likely to be reported by HIV-positive participants than HIV-negative/unknown status participants (26.02% vs 21.27%, and 27.26% vs 17.60%, respectively; both P<.001). The vast majority (86.90%, 7127/8199) of HIV-negative/unknown status participants had been previously HIV tested, and 58.23% (4799/8199) had been tested in the past 12 months. Sexually transmitted infection (STI) testing and diagnosis was also more likely to be reported by HIV-positive participants than HIV-negative/unknown status participants (71.02% vs 37.34%, and 20.59% vs 7.54%, respectively; both P<.001). HIV-negative/unknown status participants <40 years of age were more likely than those 40 years or older to have had anal sex without a condom, were more likely to report substance use, were less likely to have been HIV tested, but were more likely to been tested for and diagnosed with an STI. Compared with those from general social networking, HIV-negative/unknown status participants from a geospatial social networking website were more likely to have reported all risk behaviors but were more likely to have been HIV tested, STI tested, and diagnosed with an STI.

Entities:  

Keywords:  HIV; Internet; MSM; STD; bisexual; gay; homosexual; surveillance; survey

Year:  2016        PMID: 27244770      PMCID: PMC4909387          DOI: 10.2196/publichealth.5476

Source DB:  PubMed          Journal:  JMIR Public Health Surveill        ISSN: 2369-2960


Notice to the reader: Rapid Surveillance Reports are brief reports, which primarily report new data in table format from an existing well-described surveillance system, making a methods (and sometimes an introduction) section redundant. The idea of this new article type is to allow rapid publication of emerging trends, or continuous publication in regular intervals of public health relevant data. If a method or system description has been published previously in JMIR Public Health Surveill or JMIR Res Protoc, the report does not have to be peer-reviewed again (although in many cases they still are).

Introduction

The American Men’s Internet Survey (AMIS) is an annual Web-based behavioral survey of men who have sex with men who live in the United States. The methods have been previously published [1]. Methods in AMIS-2014 are unchanged from the previously published manuscript unless otherwise noted below.

Recruitment and Enrollment

As in the prior year, AMIS participants were recruited through convenience sampling from a variety of websites using banner advertisements or email blasts to website members (hereafter referred to generically as “ads”). Men who clicked on the ads were taken directly to the survey website hosted on a secure server administered by SurveyGizmo. To be eligible for the survey, participants had to be 15 years of age or older, consider themselves to be male, reside in the United States, and report that they had oral or anal sex with a man at least once in the past (hereafter referred to as MSM). Persons who reported being <15 years of age or refused to provide their age were not asked any other screening questions. MSM who met the eligibility criteria and consented to participate in the study started the Web-based survey immediately. The full questionnaire for AMIS-2014 is presented in Multimedia Appendix 1. AMIS-2014 ran from November 2014 through April 2015, and resulted in 77,611 persons clicking on the ads and landing on the study's recruitment page (Table 1). Most were from a general social networking website (59,670/77,611, 76.88%). Nearly half (35,462/77,611 46.89%) of those who landed on the study's page started the screening process and 60.75% (47,149/77,611) were eligible. The most common reason for ineligibility was not ever having male-male sex. Nearly three-quarters (57,176/77,611, 73.67%) of those who were eligible consented to participate in the survey. There were 6.81% (1109/77,611) of the surveys determined to likely be from duplicate participants. Among unduplicated surveys, more than two-thirds (52,9790/77,611, 68.25%) were considered successful. Success was defined using an examination of completed survey sections [1]. Most successful surveys were among men who reported having sex with another man in the past 12 months (9248/10,359, 89.28%).
Table 1

Recruitment outcomes with different recruitment website types for the American Men's Internet Survey, United States, 2014.

Recruitment Website Type
TotalGay social networking (n=2)General gay interest (n=4)General social networking (n=1)Geospatial social networking (n=2)
Recruitment OutcomesN(%)N(%)N(%)N(%)N(%)
Clicked ad77,6111988837259,6707581
Screeneda36,392(46.89)944(47.48)1293(15.44)26,576(44.54)7579(99.97)
Ineligibleb14,285(39.25)171(18.11)523(40.45)11,356(42.73)2235(29.49)
Not 15+ years of agec10,219(71.54)118(69.01)340(65.01)8008(70.52)1753(78.43)
Not malec10,942(76.60)138(80.70)380(72.66)8494(74.80)1930(86.35)
Not ever MSMc,d13,776(96.44)167(97.66)510(97.51)11,073(97.51)2026(90.65)
Not a US residentc3733(26.13)22(12.87)161(30.78)2460(21.66)1090(48.77)
Eligibleb22,107(60.75)773(81.89)770(59.55)15,220(57.27)5344(70.51)
Consentede16,286(73.67)574(74.26)595(77.27)10,821(71.10)4296(80.39)
Unduplicatedf15,177(93.19)557(97.04)564(94.79)9960(92.04)4096(95.34)
Successg10,359(68.25)414(74.33)410(72.70)6913(69.41)2622(64.01)
MSM past 12 monthsh9248(89.28)377(91.06)369(90.00)5987(86.60)2515(95.92)

aProportion is of total who clicked ad. Includes those who started the screening questionnaire.

bProportion is among total screened. Ineligible includes those who did not complete the screening questionnaire.

cProportion is among total ineligible. Includes those who may not have responded to the question.

dMSM: men who have sex with men.

eProportion is among eligible.

fProportion is among consented. Unduplicated removes participants who were marked as duplicates using an Internet protocol address and demographic data matching.

gProportion is among unduplicated. Success removes participants who did not pass the test for survey completeness.

hProportion is among successes.

Measures and Analyses

For AMIS-2014 analyses, we categorized participants by recruitment website and based on target audience and purpose: gay social networking (n=2), gay general interest (n=4), general social networking (n=1), and geospatial social networking (n=2). We do not provide the names of the websites to preserve operator/client privacy, particularly where a website category has only one operator. The participants who were eligible, consented, unduplicated, successful, and reported male-male sex in the past 12 months were included in analyses of participant characteristics and behavior. The following behavioral measures differed in AMIS-2014 from those previously published: both sexual behaviors (any condomless anal sex and condomless anal sex with a discordant/unknown status partner) were assessed for the past 12 months, binge alcohol drinking was not included, and substance using behaviors were recategorized. Human immunodeficiency virus (HIV) serostatus concordance was based on the participant’s HIV status and the status of their sex partner. Discordant/unknown status was defined as either the participant or partner having unknown status or when one was HIV-negative and the other was HIV-positive. For substance-using behaviors in the past 12 months, we separated marijuana use from other illicit substance use. For AMIS-2014 all participants received questions on sexually transmitted infection (STI; chlamydia, gonorrhea, and syphilis) testing and diagnoses in the past 12 months. Participants could have been tested for an STI but not diagnosed with an STI. Persons who were diagnosed with an STI in the past 12 months all were considered to have been tested for an STI in the past 12 months. The analysis methods for AMIS-2014 did not substantively differ from those previously published but are repeated in this report for clarity [1]. Overall chi-square tests were used to identify whether participant characteristics significantly differed between recruitment website types. Multivariable logistic regression modeling was used to determine significant differences in behaviors based on self-reported HIV status while controlling for race/ethnicity, age group, National HIV Behavioral Surveillance (NHBS) city residency, and recruitment website type. HIV-testing behaviors were only examined among those who did not report that they were HIV-positive and were also presented by participant characteristics. Multivariable logistic regression results are presented as Wald chi-square P-values to denote an independently significant difference in the behavior for each subgroup compared with a referent group. Statistical significance was determined at P<.05.

Results

Summary for AMIS-2014

Three-quarters (6819/9248, 73.73%) of participants included in this report were white, non-Hispanic, half (4676/9248, 50.6%) were ≥40 years of age, and their most common region of residence was the South followed by the West (Table 2). AMIS-2014 had participants from all US states and at least 100 participants from each of 27 states (Figure 1). Overall, 11.34% (1049/9248) of participants reported being HIV positive and 88.66% (8199/9248) reported being HIV negative or having an unknown HIV serostatus. There were significant differences in all participant characteristics based on where they were recruited (Table 2). Most of those differences were observed among participants recruited from geospatial social networking websites, who were less likely be white, less likely be 40 years or older, less likely to live in an NHBS city, more likely to live in the West, more likely to live in urban areas, and more likely to report being HIV positive.
Table 2

Characteristics of MSM participants in the American Men's Internet Survey by recruitment website type, United States, 2014.

Recruitment website type
Participant characteristicsTotalGay social networking (n=2)General gay interest (n=4)General social networking (n=1)Geospatial social networking (n=2)
 N(%)N(%)N(%)N(%)N(%)P -valuea
Race/ethnicity<.001
Black, non-Hispanic415(4.49)11(2.92)21(5.69)225(3.76)158(6.28)
Hispanicb1308(14.14)14(3.71)37(10.03)713(11.91)544(21.63)
White, non-Hispanic6819(73.73)327(86.74)286(77.51)4643(77.55)1563(62.15)
Other or multiple races706(7.63)25(6.63)25(6.78)406(6.78)250(9.94)
Age (years)<.001
15-241389(15.02)21(5.57)47(12.74)857(14.31)464(18.45)
25-291221(13.20)24(6.37)48(13.01)612(10.22)537(21.35)
30-391962(21.22)40(10.61)86(23.31)1164(19.44)672(26.72)
40 or older4676(50.56)292(77.45)188(50.95)3354(56.02)842(33.48)
Region<.001
Midwest1560(16.87)68(18.04)64(17.34)985(16.45)443(17.61)
Northeast1933(20.90)117(31.03)55(14.91)1306(21.81)455(18.09)
South3634(39.29)122(32.36)180(48.78)2369(39.57)963(38.29)
West2110(22.82)69(18.30)65(17.62)1323(22.10)653(25.96)
US dependent areas11(0.12)1(0.27)5(1.36)4(0.07)1(0.04)
NHBS city residentc<.001
Yes3553(38.42)137(36.34)206(55.83)2177(36.36)1033(41.07)
No5695(61.58)240(63.66)163(44.17)3810(63.64)1482(58.93)
Population densityd<.001
Rural2774(30.00)133(35.28)80(21.68)1902(31.77)659(26.20)
Urban/suburban6300(68.12)241(63.93)285(77.24)4001(66.83)1773(70.50)
Self-reported HIV status<.001
Positive1049(11.34)23(6.10)32(8.67)554(9.25)440(17.50)
Negative6992(75.61)277(73.47)303(82.11)4588(76.63)1824(72.52)
Unknown1207(13.05)77(20.42)34(9.21)845(14.11)251(9.98)
Total924837736959872515

aChi-square testing difference in characteristics between website type.

bHispanic persons could have been of any race, including other or multiple.

cNHBS: National HIV Behavioral Surveillance System.

dThere were 71 participants missing information needed to determine the population density of the area where they lived.

Figure 1

Number of MSM participants in the American Men's Internet Survey by state, 2014.

Most participants had anal sex without a condom with another man in the past 12 months (Table 3). Compared with HIV-negative/unknown status participants, those who were HIV-positive were significantly more likely to report anal intercourse without a condom, including with male partners who were discordant/unknown status. Anal intercourse without a condom significantly differed by age group (HIV-positive and -negative/unknown status participants), recruitment website type (HIV-positive and -negative/unknown status participants), and race/ethnicity (HIV-negative/unknown status participants only).
Table 3

Sexual behaviors with male partners of MSM participants in the American Men's Internet Survey, United States, 2014.

Sexual Behaviors with male partners in the past 12 months
Participant characteristicsN in sampleAnal intercourse without a condomAnal intercourse without a condom with a partner of discordant or unknown HIV status
n(%)P -valuean(%)P -valuea
HIV positive overall1049803(76.55)<.001b416(39.66)<.001b
Race/ethnicity
Black, non-Hispanic9269(75.00).45934(36.96).253
Hispanic172134(77.91).63673(42.44).893
White, non-Hispanic716546(76.26)REF281(39.25)REF
Other or multiple races6954(78.26).87828(40.58).794
Age (years)
15-246862(91.18).03838(55.88).090
25-2911096(87.27).22665(59.09).002
30-39251199(79.28).086111(44.22).278
40 or older620446(71.94)REF202(32.58)REF
NHBS city residentc
Yes464361(77.80).217173(37.28).291
No585442(75.56)REF243(41.54)REF
Recruitment website type
Gay social networking2318(78.26).62016(69.57).007
General gay interest3224(75.00).76817(53.13).478
General social networking554403(72.74)REF192(34.66)REF
Geospatial social networking440358(81.36).642191(43.41).002
HIV negative or unknown overall81995507(67.17)REF1539(18.77)REF
Race/ethnicity
Black, non-Hispanic323202(62.54).04380(24.77).121
Hispanic1136777(68.40).377276(24.30).088
White, non-Hispanic61034109(67.33)REF1053(17.25)REF
Other or multiple races637419(65.78).808130(20.41).323
Age (years)
15-241321870(65.86)<.001334(25.28).359
25-291111820(73.81)<.001193(17.37).954
30-3917111281(74.87)<.001241(14.09).572
40 or older40562536(62.52)REF505(12.45)REF
NHBS city residentc
Yes30892053(66.46).300607(19.65).442
No51103454(67.59)REF932(18.24)REF
Recruitment website type
Gay social networking354187(52.82)<.00176(21.47).318
General gay interest337219(64.99).90968(20.18).680
General social networking54333592(66.11)REF825(15.18)REF
Geospatial social networking20751509(72.72)<.001570(27.47)<.001

aWald chi-square from multivariable logistic regression comparing behavior (yes versus no) among group with some characteristic compared to a referent (REF) group.

bWald chi-square from multivariable logistic regression comparing behavior (yes versus no) among HIV-positive participants compared to HIV-negative or unknown serostatus participants. Model controlled for race/ethnicity, age, NHBS residency, and website type.

cNHBS: National HIV Behavioral Surveillance System.

More than one-quarter (273/1049, 26.02%) of HIV-positive participants reported using marijuana or other illicit substances in the past 12 months (Table 4). Compared with HIV-negative/unknown status participants, those who were HIV-positive were significantly more likely to report use of marijuana and other substances in the past 12 months. Marijuana or other illicit substance use significantly differed by age group (HIV-positive and -negative/unknown status participants), residence in an NHBS city (HIV-negative/unknown status participants only), and recruitment website type (HIV-negative/unknown status participants only).
Table 4

Substance using behaviors of MSM participants in the American Men's Internet Survey, United States, 2014.

Substance use behaviors in the past 12 months
Participant characteristicsN in sampleUsed marijuanaUsed other substance(s)
n(%)P -valueaN(%)P -valuea
HIV positive overall1049273(26.02)<.001b286(27.26)<.001b
Race/ethnicity
Black non-Hispanic9224(26.09).54919(20.65).110
Hispanic17246(26.74).46844(25.58).571
White non-Hispanic716181(25.28)REF202(28.21)REF
Other or multiple races6922(31.88).35921(30.43).400
Age (years)
15-246821(30.88).98817(25.00).360
25-2911040(36.36).08234(30.91).441
30-3925176(30.28).77191(36.25).011
40 or older620136(21.94)REF144(23.23)REF
NHBS city residentc
Yes464123(26.51).781130(28.02).573
No585150(25.64)REF156(26.67)REF
Recruitment website type
Gay social networking237(30.43).5884(17.39).316
General gay interest3210(31.25).61011(34.38).255
General social networking554119(21.48)REF134(24.19)REF
Geospatial social networking440137(31.14).971137(31.14).353
HIV negative or unknown overall81991744(21.27)REF1443(17.60)REF
Race/Ethnicity
Black non-Hispanic32360(18.58).05150(15.48).060
Hispanic1136256(22.54).586212(18.66).596
White non-Hispanic61031274(20.87)REF1051(17.22)REF
Other or multiple races637154(24.18).123130(20.41).102
Age (years)
15-241321424(32.10)<.001269(20.36).160
25-291111303(27.27).005259(23.31).002
30-391711411(24.02).912382(22.33).002
40 or older4056606(14.94)REF533(13.14)REF
NHBS city residentc
Yes3089717(23.21)<.001656(21.24)<.001
No51101027(20.10)REF787(15.40)REF
Recruitment website type
Gay social networking35448(13.56).03239(11.02).022
General gay interest33769(20.47).98555(16.32).535
General social networking54331095(20.15)REF861(15.85)REF
Geospatial social networking2075532(25.64)<.001488(23.52)<.001

aWald chi-square from multivariable logistic regression comparing behavior (yes versus no) among group with some characteristic compared with a referent (REF) group.

bWald chi-square from multivariable logistic regression comparing behavior (yes versus no) among HIV-positive participants compared to HIV-negative or unknown serostatus participants. Model controlled for race/ethnicity, age, NHBS residency, and website type.

cNHBS: National HIV Behavioral Surveillance System.

HIV testing behaviors were only examined among those who did not report being HIV-positive. Most of those participants (7125/8199, 86.90%) had ever been previously tested for HIV infection, and just over half (4799/8199, 58.53%) reported being tested in the past 12 months (Table 5). HIV testing significantly differed by age group (ever tested), race/ethnicity (ever tested), residence in an NHBS city (past 12 months tested), and recruitment website type (past 12 months tested).
Table 5

HIV testing behaviors of HIV-negative or unknown status MSM participants in the American Men's Internet Survey, United States, 2014.

HIV testing behaviors
Participant characteristicsN in sampleHIV tested everHIV tested past 12 months
n(%)P -valueaN(%)P -valuea
Race/ethnicity
Black non-Hispanic323287(88.85).503213(65.94).221
Hispanic1136981(86.36).544706(62.15).290
White non-Hispanic61035299(86.83)REF3454(56.60)REF
Other or multiple races637558(87.60).469406(63.74).308
Age (years)
15-241321892(67.52)<.001699(52.91)<.001
25-291111997(89.74).006742(66.79)<.001
30-3917111547(90.41)<.0011037(60.61).498
40 or older40563689(90.95)REF2301(56.73)REF
NHBS city residentb
Yes30892787(90.22)<.0011992(64.49)<.001
No51104338(84.89)REF2787(54.54)REF
Recruitment website type
Gay social networking354280(79.10)<.001172(48.59)<.001
General gay interest337304(90.21).054188(55.79).068
General social networking54334662(85.81)REF2881(53.03)REF
Geospatial social networking20751879(90.55)<.0011538(74.12)<.001
TOTAL81997125(86.90)4799(58.53)

aWald chi-square from multivariable logistic regression comparing behavior (yes versus no) among group with some characteristic compared with a referent (REF) group.

bNHBS: National HIV Behavioral Surveillance System.

Compared with HIV-negative/unknown status participants, those who were HIV-positive were more likely to report being tested for and diagnosed with an STI in the past 12 months (Table 6). The most common STI diagnoses were syphilis (132/1049, 12.58%) and chlamydia (88/1049, 8.39%) among HIV-positive participants. STI testing significantly differed by age group, residence in an NHBS city and recruitment website type only for participants who were HIV-negative/unknown status. STI diagnosis significantly differed by age group (HIV-positive and HIV-negative/unknown status participants), race/ethnicity (HIV-negative/unknown status participants only), residence in an NHBS city (HIV-negative/unknown status participants only), and recruitment website type (HIV-negative/unknown status participants only).
Table 6

Sexually transmitted infection testing and diagnosis of MSM participants in the American Men's Internet Survey, United States, 2014.

STI History in the past 12 months
Participant characteristicsN in sampleTested for any STIaDiagnosed with any STIa
n(%)P -valuebN(%)P -valueb
HIV positive overall1049747(71.21)<.001c216(20.59)<.001c
Race/ethnicity
Black non-Hispanic9272(78.26).50825(27.17).905
Hispanic172129(75.00).35447(27.33).687
White non-Hispanic716493(68.85)REF120(16.76)REF
Other or multiple races6953(76.81).86724(34.78).065
Age (years)
15-246857(83.82).36520(29.41).968
25-2911094(85.45).08644(40.00)<.001
30-39251203(80.88).58367(26.69).846
40 or older620393(63.39)REF85(13.71)REF
NHBS city residentd
Yes464344(74.14).073105(22.63).326
No585403(68.89)REF111(18.97)REF
Recruitment website type
Gay social networking2313(56.52).2822(8.70).302
General gay interest3224(75.00).4168(25.00).154
General social networking554364(65.70)REF81(14.62)REF
Geospatial social networking440346(78.64).214125(28.41).246
HIV negative or unknown overall81993086(37.64)REF618(7.54)REF
Race/Ethnicity
Black non-Hispanic323156(48.30).27235(10.84).559
Hispanic1136553(48.68).173147(12.94).007
White non-Hispanic61032086(34.18)REF378(6.19)REF
Other or multiple races637291(45.68).47058(9.11).454
Age (years)
15-241321512(38.76).033109(8.25).612
25-291111579(52.12)<.001136(12.24).001
30-391711754(44.07).040174(10.17).021
40 or older40561241(30.60)REF199(4.91)REF
NHBS city residentd
Yes30891442(46.68)<.001300(9.71)<.001
No51101644(32.17)REF318(6.22)REF
Recruitment website type
Gay social networking35484(23.73)<.00114(3.95).173
General gay interest337109(32.34).01317(5.04).107
General social networking54331740(32.03)REF284(5.23)REF
Geospatial social networking20751153(55.57)<.001303(14.60)<.001

aSTI: sexually transmitted infection; includes chlamydia, gonorrhea and syphilis.

bWald chi-square from multivariable logistic regression comparing behavior (yes versus no) among group with some characteristic compared with a referent (REF) group.

cWald chi-square from multivariable logistic regression comparing behavior (yes versus no) among HIV-positive participants compared with HIV-negative or unknown serostatus participants. Model controlled for race/ethnicity, age, NHBS residency, and website type.

dNHBS: National HIV Behavioral Surveillance System.

Number of MSM participants in the American Men's Internet Survey by state, 2014. Recruitment outcomes with different recruitment website types for the American Men's Internet Survey, United States, 2014. aProportion is of total who clicked ad. Includes those who started the screening questionnaire. bProportion is among total screened. Ineligible includes those who did not complete the screening questionnaire. cProportion is among total ineligible. Includes those who may not have responded to the question. dMSM: men who have sex with men. eProportion is among eligible. fProportion is among consented. Unduplicated removes participants who were marked as duplicates using an Internet protocol address and demographic data matching. gProportion is among unduplicated. Success removes participants who did not pass the test for survey completeness. hProportion is among successes. Characteristics of MSM participants in the American Men's Internet Survey by recruitment website type, United States, 2014. aChi-square testing difference in characteristics between website type. bHispanic persons could have been of any race, including other or multiple. cNHBS: National HIV Behavioral Surveillance System. dThere were 71 participants missing information needed to determine the population density of the area where they lived. Sexual behaviors with male partners of MSM participants in the American Men's Internet Survey, United States, 2014. aWald chi-square from multivariable logistic regression comparing behavior (yes versus no) among group with some characteristic compared to a referent (REF) group. bWald chi-square from multivariable logistic regression comparing behavior (yes versus no) among HIV-positive participants compared to HIV-negative or unknown serostatus participants. Model controlled for race/ethnicity, age, NHBS residency, and website type. cNHBS: National HIV Behavioral Surveillance System. Substance using behaviors of MSM participants in the American Men's Internet Survey, United States, 2014. aWald chi-square from multivariable logistic regression comparing behavior (yes versus no) among group with some characteristic compared with a referent (REF) group. bWald chi-square from multivariable logistic regression comparing behavior (yes versus no) among HIV-positive participants compared to HIV-negative or unknown serostatus participants. Model controlled for race/ethnicity, age, NHBS residency, and website type. cNHBS: National HIV Behavioral Surveillance System. HIV testing behaviors of HIV-negative or unknown status MSM participants in the American Men's Internet Survey, United States, 2014. aWald chi-square from multivariable logistic regression comparing behavior (yes versus no) among group with some characteristic compared with a referent (REF) group. bNHBS: National HIV Behavioral Surveillance System. Sexually transmitted infection testing and diagnosis of MSM participants in the American Men's Internet Survey, United States, 2014. aSTI: sexually transmitted infection; includes chlamydia, gonorrhea and syphilis. bWald chi-square from multivariable logistic regression comparing behavior (yes versus no) among group with some characteristic compared with a referent (REF) group. cWald chi-square from multivariable logistic regression comparing behavior (yes versus no) among HIV-positive participants compared with HIV-negative or unknown serostatus participants. Model controlled for race/ethnicity, age, NHBS residency, and website type. dNHBS: National HIV Behavioral Surveillance System.
  1 in total

1.  The Annual American Men's Internet Survey of Behaviors of Men Who Have Sex With Men in the United States: Protocol and Key Indicators Report 2013.

Authors:  Travis Howard Sanchez; R Craig Sineath; Erin M Kahle; Stephen James Tregear; Patrick Sean Sullivan
Journal:  JMIR Public Health Surveill       Date:  2015-04-17
  1 in total
  16 in total

1.  Capturing HIV Incidence Among MSM Through At-Home and Self-reported Facility-based Testing.

Authors:  Eric W Hall; Alexandra V Ricca; Christine M Khosropour; Patrick S Sullivan
Journal:  J Acquir Immune Defic Syndr       Date:  2017-08-15       Impact factor: 3.731

2.  Association between the geographic accessibility of PrEP and PrEP use among MSM in nonurban areas.

Authors:  J Danielle Sharpe; Travis H Sanchez; Aaron J Siegler; Jodie L Guest; Patrick S Sullivan
Journal:  J Rural Health       Date:  2022-01-07       Impact factor: 5.667

3.  Correlates of Unknown HIV Status Among MSM Participating in the 2014 American Men's Internet Survey (AMIS).

Authors:  S M Traynor; A M Brincks; D J Feaster
Journal:  AIDS Behav       Date:  2018-07

4.  Targeting Human Immunodeficiency Virus Pre-Exposure Prophylaxis to Adolescent Sexual Minority Males in Higher Prevalence Areas of the United States: A Modeling Study.

Authors:  Steven M Goodreau; Deven T Hamilton; Samuel M Jenness; Patrick S Sullivan; Rachel K Valencia; Li Yan Wang; Richard L Dunville; Lisa C Barrios; Eli S Rosenberg
Journal:  J Adolesc Health       Date:  2017-12-13       Impact factor: 5.012

5.  How Best to Obtain Valid, Verifiable Data Online From Male Couples? Lessons Learned From an eHealth HIV Prevention Intervention for HIV-Negative Male Couples.

Authors:  Jason Mitchell; Ji-Young Lee; Rob Stephenson
Journal:  JMIR Public Health Surveill       Date:  2016-09-20

6.  Use of Videos Improves Informed Consent Comprehension in Web-Based Surveys Among Internet-Using Men Who Have Sex With Men: A Randomized Controlled Trial.

Authors:  Eric William Hall; Travis H Sanchez; Aryeh D Stein; Rob Stephenson; Maria Zlotorzynska; Robert Craig Sineath; Patrick S Sullivan
Journal:  J Med Internet Res       Date:  2017-03-06       Impact factor: 5.428

7.  Community engagement in sexual health and uptake of HIV testing and syphilis testing among MSM in China: a cross-sectional online survey.

Authors:  Tiange P Zhang; Chuncheng Liu; Larry Han; Weiming Tang; Jessica Mao; Terrence Wong; Ye Zhang; Songyuan Tang; Bin Yang; Chongyi Wei; Joseph D Tucker
Journal:  J Int AIDS Soc       Date:  2017-04-03       Impact factor: 5.396

8.  The Annual American Men's Internet Survey of Behaviors of Men Who Have Sex With Men in the United States: 2015 Key Indicators Report.

Authors:  Maria Zlotorzynska; Patrick Sullivan; Travis Sanchez
Journal:  JMIR Public Health Surveill       Date:  2017-03-25

9.  Interval Since Last HIV Test for Men and Women with Recent Risk for HIV Infection - United States, 2006-2016.

Authors:  Marc A Pitasi; Kevin P Delaney; Emeka Oraka; Heather Bradley; Elizabeth A DiNenno; John T Brooks; Joseph Prejean
Journal:  MMWR Morb Mortal Wkly Rep       Date:  2018-06-22       Impact factor: 17.586

10.  Cost-effectiveness of Frequent HIV Screening Among High-risk Young Men Who Have Sex With Men in the United States.

Authors:  Anne M Neilan; Alexander J B Bulteel; Sybil G Hosek; Julia H A Foote; Kenneth A Freedberg; Raphael J Landovitz; Rochelle P Walensky; Stephen C Resch; Pooyan Kazemian; A David Paltiel; Milton C Weinstein; Craig M Wilson; Andrea L Ciaranello
Journal:  Clin Infect Dis       Date:  2021-10-05       Impact factor: 9.079

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