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JMIR Public Health and Surveillance logoLink to JMIR Public Health and Surveillance
. 2016 May 25;2(1):e23. doi: 10.2196/publichealth.5476

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 Sanchez 1,, Maria Zlotorzynska 1, Craig Sineath 1, Erin Kahle 1, Patrick Sullivan 1
Editor: Gunther Eysenbach
Reviewed by: Christine Khosropour, Nathan Lachowsky, Madison Gates, Janey Sewell
PMCID: PMC4909387  PMID: 27244770

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.

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


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

Total Gay social
networking
(n=2)
General gay interest
(n=4)
General social
networking
(n=1)
Geospatial social
networking
(n=2)
Recruitment Outcomes N (%) N (%) N (%) N (%) N (%)
Clicked ad 77,611
1988
8372
59,670
7581
Screeneda 36,392 (46.89) 944 (47.48) 1293 (15.44) 26,576 (44.54) 7579 (99.97)
Ineligibleb 14,285 (39.25) 171 (18.11) 523 (40.45) 11,356 (42.73) 2235 (29.49)

Not 15+ years of agec 10,219 (71.54) 118 (69.01) 340 (65.01) 8008 (70.52) 1753 (78.43)

Not malec 10,942 (76.60) 138 (80.70) 380 (72.66) 8494 (74.80) 1930 (86.35)

Not ever MSMc,d 13,776 (96.44) 167 (97.66) 510 (97.51) 11,073 (97.51) 2026 (90.65)

Not a US residentc 3733 (26.13) 22 (12.87) 161 (30.78) 2460 (21.66) 1090 (48.77)
Eligibleb 22,107 (60.75) 773 (81.89) 770 (59.55) 15,220 (57.27) 5344 (70.51)
Consentede 16,286 (73.67) 574 (74.26) 595 (77.27) 10,821 (71.10) 4296 (80.39)
Unduplicatedf 15,177 (93.19) 557 (97.04) 564 (94.79) 9960 (92.04) 4096 (95.34)
Successg 10,359 (68.25) 414 (74.33) 410 (72.70) 6913 (69.41) 2622 (64.01)
MSM past 12 monthsh 9248 (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 characteristics Total Gay 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-Hispanic 415 (4.49) 11 (2.92) 21 (5.69) 225 (3.76) 158 (6.28)

Hispanicb 1308 (14.14) 14 (3.71) 37 (10.03) 713 (11.91) 544 (21.63)

White, non-Hispanic 6819 (73.73) 327 (86.74) 286 (77.51) 4643 (77.55) 1563 (62.15)

Other or multiple races 706 (7.63) 25 (6.63) 25 (6.78) 406 (6.78) 250 (9.94)
Age (years) <.001

15-24 1389 (15.02) 21 (5.57) 47 (12.74) 857 (14.31) 464 (18.45)

25-29 1221 (13.20) 24 (6.37) 48 (13.01) 612 (10.22) 537 (21.35)

30-39 1962 (21.22) 40 (10.61) 86 (23.31) 1164 (19.44) 672 (26.72)

40 or older 4676 (50.56) 292 (77.45) 188 (50.95) 3354 (56.02) 842 (33.48)
Region <.001

Midwest 1560 (16.87) 68 (18.04) 64 (17.34) 985 (16.45) 443 (17.61)

Northeast 1933 (20.90) 117 (31.03) 55 (14.91) 1306 (21.81) 455 (18.09)

South 3634 (39.29) 122 (32.36) 180 (48.78) 2369 (39.57) 963 (38.29)

West 2110 (22.82) 69 (18.30) 65 (17.62) 1323 (22.10) 653 (25.96)

US dependent areas 11 (0.12) 1 (0.27) 5 (1.36) 4 (0.07) 1 (0.04)
NHBS city residentc <.001

Yes 3553 (38.42) 137 (36.34) 206 (55.83) 2177 (36.36) 1033 (41.07)

No 5695 (61.58) 240 (63.66) 163 (44.17) 3810 (63.64) 1482 (58.93)
Population densityd <.001

Rural 2774 (30.00) 133 (35.28) 80 (21.68) 1902 (31.77) 659 (26.20)

Urban/suburban 6300 (68.12) 241 (63.93) 285 (77.24) 4001 (66.83) 1773 (70.50)
Self-reported HIV status <.001

Positive 1049 (11.34) 23 (6.10) 32 (8.67) 554 (9.25) 440 (17.50)

Negative 6992 (75.61) 277 (73.47) 303 (82.11) 4588 (76.63) 1824 (72.52)

Unknown 1207 (13.05) 77 (20.42) 34 (9.21) 845 (14.11) 251 (9.98)
Total 9248
377
369
5987
2515

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.

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 characteristics N in sample Anal intercourse without a condom Anal intercourse without a condom with a partner of discordant or unknown HIV status
n (%) P -valuea n (%) P -valuea
HIV positive overall 1049 803 (76.55) <.001b 416 (39.66) <.001b
Race/ethnicity

Black, non-Hispanic 92 69 (75.00) .459 34 (36.96) .253

Hispanic 172 134 (77.91) .636 73 (42.44) .893

White, non-Hispanic 716 546 (76.26) REF 281 (39.25) REF

Other or multiple races 69 54 (78.26) .878 28 (40.58) .794
Age (years)

15-24 68 62 (91.18) .038 38 (55.88) .090

25-29 110 96 (87.27) .226 65 (59.09) .002

30-39 251 199 (79.28) .086 111 (44.22) .278

40 or older 620 446 (71.94) REF 202 (32.58) REF
NHBS city residentc

Yes 464 361 (77.80) .217 173 (37.28) .291

No 585 442 (75.56) REF 243 (41.54) REF
Recruitment website type

Gay social networking 23 18 (78.26) .620 16 (69.57) .007

General gay interest 32 24 (75.00) .768 17 (53.13) .478

General social networking 554 403 (72.74) REF 192 (34.66) REF

Geospatial social networking 440 358 (81.36) .642 191 (43.41) .002
HIV negative or unknown overall 8199 5507 (67.17) REF 1539 (18.77) REF
Race/ethnicity

Black, non-Hispanic 323 202 (62.54) .043 80 (24.77) .121

Hispanic 1136 777 (68.40) .377 276 (24.30) .088

White, non-Hispanic 6103 4109 (67.33) REF 1053 (17.25) REF

Other or multiple races 637 419 (65.78) .808 130 (20.41) .323
Age (years)

15-24 1321 870 (65.86) <.001 334 (25.28) .359

25-29 1111 820 (73.81) <.001 193 (17.37) .954

30-39 1711 1281 (74.87) <.001 241 (14.09) .572

40 or older 4056 2536 (62.52) REF 505 (12.45) REF
NHBS city residentc

Yes 3089 2053 (66.46) .300 607 (19.65) .442

No 5110 3454 (67.59) REF 932 (18.24) REF
Recruitment website type

Gay social networking 354 187 (52.82) <.001 76 (21.47) .318

General gay interest 337 219 (64.99) .909 68 (20.18) .680

General social networking 5433 3592 (66.11) REF 825 (15.18) REF

Geospatial social networking 2075 1509 (72.72) <.001 570 (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 characteristics N in sample Used marijuana Used other substance(s)
n (%) P -valuea N (%) P -valuea
HIV positive overall 1049 273 (26.02) <.001b 286 (27.26) <.001b
Race/ethnicity

Black non-Hispanic 92 24 (26.09) .549 19 (20.65) .110

Hispanic 172 46 (26.74) .468 44 (25.58) .571

White non-Hispanic 716 181 (25.28) REF 202 (28.21) REF

Other or multiple races 69 22 (31.88) .359 21 (30.43) .400
Age (years)

15-24 68 21 (30.88) .988 17 (25.00) .360

25-29 110 40 (36.36) .082 34 (30.91) .441

30-39 251 76 (30.28) .771 91 (36.25) .011

40 or older 620 136 (21.94) REF 144 (23.23) REF
NHBS city residentc

Yes 464 123 (26.51) .781 130 (28.02) .573

No 585 150 (25.64) REF 156 (26.67) REF
Recruitment website type

Gay social networking 23 7 (30.43) .588 4 (17.39) .316

General gay interest 32 10 (31.25) .610 11 (34.38) .255

General social networking 554 119 (21.48) REF 134 (24.19) REF

Geospatial social networking 440 137 (31.14) .971 137 (31.14) .353
HIV negative or unknown overall 8199 1744 (21.27) REF 1443 (17.60) REF
Race/Ethnicity

Black non-Hispanic 323 60 (18.58) .051 50 (15.48) .060

Hispanic 1136 256 (22.54) .586 212 (18.66) .596

White non-Hispanic 6103 1274 (20.87) REF 1051 (17.22) REF

Other or multiple races 637 154 (24.18) .123 130 (20.41) .102
Age (years)

15-24 1321 424 (32.10) <.001 269 (20.36) .160

25-29 1111 303 (27.27) .005 259 (23.31) .002

30-39 1711 411 (24.02) .912 382 (22.33) .002

40 or older 4056 606 (14.94) REF 533 (13.14) REF
NHBS city residentc

Yes 3089 717 (23.21) <.001 656 (21.24) <.001

No 5110 1027 (20.10) REF 787 (15.40) REF
Recruitment website type

Gay social networking 354 48 (13.56) .032 39 (11.02) .022

General gay interest 337 69 (20.47) .985 55 (16.32) .535

General social networking 5433 1095 (20.15) REF 861 (15.85) REF

Geospatial social networking 2075 532 (25.64) <.001 488 (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 characteristics N in sample HIV tested ever HIV tested past 12 months
n (%) P -valuea N (%) P -valuea
Race/ethnicity

Black non-Hispanic 323 287 (88.85) .503 213 (65.94) .221

Hispanic 1136 981 (86.36) .544 706 (62.15) .290

White non-Hispanic 6103 5299 (86.83) REF 3454 (56.60) REF

Other or multiple races 637 558 (87.60) .469 406 (63.74) .308
Age (years)

15-24 1321 892 (67.52) <.001 699 (52.91) <.001

25-29 1111 997 (89.74) .006 742 (66.79) <.001

30-39 1711 1547 (90.41) <.001 1037 (60.61) .498

40 or older 4056 3689 (90.95) REF 2301 (56.73) REF
NHBS city residentb

Yes 3089 2787 (90.22) <.001 1992 (64.49) <.001

No 5110 4338 (84.89) REF 2787 (54.54) REF
Recruitment website type

Gay social networking 354 280 (79.10) <.001 172 (48.59) <.001

General gay interest 337 304 (90.21) .054 188 (55.79) .068

General social networking 5433 4662 (85.81) REF 2881 (53.03) REF

Geospatial social networking 2075 1879 (90.55) <.001 1538 (74.12) <.001
TOTAL 8199 7125 (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 characteristics N in sample Tested for any STIa Diagnosed with any STIa
n (%) P -valueb N (%) P -valueb
HIV positive overall 1049 747 (71.21) <.001c 216 (20.59) <.001c
Race/ethnicity

Black non-Hispanic 92 72 (78.26) .508 25 (27.17) .905

Hispanic 172 129 (75.00) .354 47 (27.33) .687

White non-Hispanic 716 493 (68.85) REF 120 (16.76) REF

Other or multiple races 69 53 (76.81) .867 24 (34.78) .065
Age (years)

15-24 68 57 (83.82) .365 20 (29.41) .968

25-29 110 94 (85.45) .086 44 (40.00) <.001

30-39 251 203 (80.88) .583 67 (26.69) .846

40 or older 620 393 (63.39) REF 85 (13.71) REF
NHBS city residentd

Yes 464 344 (74.14) .073 105 (22.63) .326

No 585 403 (68.89) REF 111 (18.97) REF
Recruitment website type

Gay social networking 23 13 (56.52) .282 2 (8.70) .302

General gay interest 32 24 (75.00) .416 8 (25.00) .154

General social networking 554 364 (65.70) REF 81 (14.62) REF

Geospatial social networking 440 346 (78.64) .214 125 (28.41) .246
HIV negative or unknown overall 8199 3086 (37.64) REF 618 (7.54) REF
Race/Ethnicity

Black non-Hispanic 323 156 (48.30) .272 35 (10.84) .559

Hispanic 1136 553 (48.68) .173 147 (12.94) .007

White non-Hispanic 6103 2086 (34.18) REF 378 (6.19) REF

Other or multiple races 637 291 (45.68) .470 58 (9.11) .454
Age (years)

15-24 1321 512 (38.76) .033 109 (8.25) .612

25-29 1111 579 (52.12) <.001 136 (12.24) .001

30-39 1711 754 (44.07) .040 174 (10.17) .021

40 or older 4056 1241 (30.60) REF 199 (4.91) REF
NHBS city residentd

Yes 3089 1442 (46.68) <.001 300 (9.71) <.001

No 5110 1644 (32.17) REF 318 (6.22) REF
Recruitment website type

Gay social networking 354 84 (23.73) <.001 14 (3.95) .173

General gay interest 337 109 (32.34) .013 17 (5.04) .107

General social networking 5433 1740 (32.03) REF 284 (5.23) REF

Geospatial social networking 2075 1153 (55.57) <.001 303 (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.

Acknowledgments

The study was funded by a grant from the MAC AIDS Fund and by the National Institutes of Health [P30AI050409] – the Emory Center for AIDS Research.

Abbreviations

AMIS

American Men’s Internet Survey

HIV

human immunodeficiency virus

MSM

men who have sex with men

NHBS

national HIV behavioral surveillance system

STI

sexually transmitted infection

Multimedia Appendix 1

American Men's Internet Survey, 2014.

Footnotes

Conflicts of Interest: Authors Sanchez and Sullivan are members of the Editorial Board of JMIR Public Health and Surveillance. However, they had no involvement in the editorial decision for this manuscript. It was reviewed and handled by an independent editor.

References

  • 1.Sanchez TH, Sineath RC, Kahle EM, Tregear SJ, Sullivan PS. 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. JMIR Public Health Surveill. 2015;1:e3. doi: 10.2196/publichealth.4314. [DOI] [PMC free article] [PubMed] [Google Scholar]

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