A Person-Centered Approach to HIV-Related Protective and Risk Factors for Young Black Men Who Have Sex with Men: Implications for Pre-exposure Prophylaxis and HIV Treatment as Prevention
Abstract Although young Black men who have sex with men (YBMSM) are disproportionately affected by HIV, they may be more heterogeneous as a group than is typically appreciated. Thus, the present study used a person-centered data-analytic approach to determine profiles of HIV-related risk among YBMSM...
Ausführliche Beschreibung
Autor*in: |
Vincent, Wilson [verfasserIn] Peterson, John L. [verfasserIn] Storholm, Erik D. [verfasserIn] Huebner, David M. [verfasserIn] Neilands, Torsten B. [verfasserIn] Calabrese, Sarah K. [verfasserIn] Rebchook, Gregory M. [verfasserIn] Tan, Judy Y. [verfasserIn] Pollack, Lance [verfasserIn] Kegeles, Susan M. [verfasserIn] |
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Format: |
E-Artikel |
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Sprache: |
Englisch |
Erschienen: |
2019 |
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Schlagwörter: |
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Übergeordnetes Werk: |
Enthalten in: Aids and behavior - Dordrecht [u.a.] : Springer Science + Business Media B.V, 1997, 23(2019), 10 vom: 12. Aug., Seite 2803-2815 |
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Übergeordnetes Werk: |
volume:23 ; year:2019 ; number:10 ; day:12 ; month:08 ; pages:2803-2815 |
Links: |
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DOI / URN: |
10.1007/s10461-019-02630-5 |
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Katalog-ID: |
SPR010246118 |
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245 | 1 | 2 | |a A Person-Centered Approach to HIV-Related Protective and Risk Factors for Young Black Men Who Have Sex with Men: Implications for Pre-exposure Prophylaxis and HIV Treatment as Prevention |
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520 | |a Abstract Although young Black men who have sex with men (YBMSM) are disproportionately affected by HIV, they may be more heterogeneous as a group than is typically appreciated. Thus, the present study used a person-centered data-analytic approach to determine profiles of HIV-related risk among YBMSM and whether these profiles could be distinguished by age, HIV status, and socioeconomic risk (i.e., socioeconomic distress). YBMSM (N = 1808) aged 18 to 29 years completed a survey of sociodemographic characteristics, HIV status, and HIV-related behavioral and attitudinal factors (i.e., safer-sex self-efficacy, negative condom attitudes, being in difficult sexual situations, being in difficult sexual relationships, HIV treatment optimism, perceived HIV stigma). Latent profile analysis was used to identify HIV risk profiles and whether age, HIV status, and socioeconomic distress were associated with these profiles. Four profiles emerged: low-, medium-, and high-risk profiles, respectively, and a mixed profile characterized by a tendency to be in difficult sexual situations and relationships while also reporting high safer-sex self-efficacy and low negative attitudes toward condom use. Difficult sexual situations emerged as the key defining indicator of whether a profile reflected higher or lower risk. Younger age, being HIV-positive, and socioeconomic distress were associated with having a higher-risk profile. Given that unique risk profiles emerged that were differentially predicted by sociodemographic characteristics and HIV status, these findings have implications for tailoring interventions to the needs of different subgroups of YBMSM. Also, disempowering or risky sexual situations and relationships among YBMSM must be addressed. | ||
650 | 4 | |a Young Black men who have sex with men |7 (dpeaa)DE-He213 | |
650 | 4 | |a HIV |7 (dpeaa)DE-He213 | |
650 | 4 | |a Protective factors |7 (dpeaa)DE-He213 | |
650 | 4 | |a Risk factors |7 (dpeaa)DE-He213 | |
650 | 4 | |a Latent profile analysis |7 (dpeaa)DE-He213 | |
700 | 1 | |a Peterson, John L. |e verfasserin |4 aut | |
700 | 1 | |a Storholm, Erik D. |e verfasserin |4 aut | |
700 | 1 | |a Huebner, David M. |e verfasserin |4 aut | |
700 | 1 | |a Neilands, Torsten B. |e verfasserin |4 aut | |
700 | 1 | |a Calabrese, Sarah K. |e verfasserin |4 aut | |
700 | 1 | |a Rebchook, Gregory M. |e verfasserin |4 aut | |
700 | 1 | |a Tan, Judy Y. |e verfasserin |4 aut | |
700 | 1 | |a Pollack, Lance |e verfasserin |4 aut | |
700 | 1 | |a Kegeles, Susan M. |e verfasserin |4 aut | |
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10.1007/s10461-019-02630-5 doi (DE-627)SPR010246118 (SPR)s10461-019-02630-5-e DE-627 ger DE-627 rakwb eng 610 ASE 44.78 bkl Vincent, Wilson verfasserin aut A Person-Centered Approach to HIV-Related Protective and Risk Factors for Young Black Men Who Have Sex with Men: Implications for Pre-exposure Prophylaxis and HIV Treatment as Prevention 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Although young Black men who have sex with men (YBMSM) are disproportionately affected by HIV, they may be more heterogeneous as a group than is typically appreciated. Thus, the present study used a person-centered data-analytic approach to determine profiles of HIV-related risk among YBMSM and whether these profiles could be distinguished by age, HIV status, and socioeconomic risk (i.e., socioeconomic distress). YBMSM (N = 1808) aged 18 to 29 years completed a survey of sociodemographic characteristics, HIV status, and HIV-related behavioral and attitudinal factors (i.e., safer-sex self-efficacy, negative condom attitudes, being in difficult sexual situations, being in difficult sexual relationships, HIV treatment optimism, perceived HIV stigma). Latent profile analysis was used to identify HIV risk profiles and whether age, HIV status, and socioeconomic distress were associated with these profiles. Four profiles emerged: low-, medium-, and high-risk profiles, respectively, and a mixed profile characterized by a tendency to be in difficult sexual situations and relationships while also reporting high safer-sex self-efficacy and low negative attitudes toward condom use. Difficult sexual situations emerged as the key defining indicator of whether a profile reflected higher or lower risk. Younger age, being HIV-positive, and socioeconomic distress were associated with having a higher-risk profile. Given that unique risk profiles emerged that were differentially predicted by sociodemographic characteristics and HIV status, these findings have implications for tailoring interventions to the needs of different subgroups of YBMSM. Also, disempowering or risky sexual situations and relationships among YBMSM must be addressed. Young Black men who have sex with men (dpeaa)DE-He213 HIV (dpeaa)DE-He213 Protective factors (dpeaa)DE-He213 Risk factors (dpeaa)DE-He213 Latent profile analysis (dpeaa)DE-He213 Peterson, John L. verfasserin aut Storholm, Erik D. verfasserin aut Huebner, David M. verfasserin aut Neilands, Torsten B. verfasserin aut Calabrese, Sarah K. verfasserin aut Rebchook, Gregory M. verfasserin aut Tan, Judy Y. verfasserin aut Pollack, Lance verfasserin aut Kegeles, Susan M. verfasserin aut Enthalten in Aids and behavior Dordrecht [u.a.] : Springer Science + Business Media B.V, 1997 23(2019), 10 vom: 12. Aug., Seite 2803-2815 (DE-627)320523144 (DE-600)2014832-X 1573-3254 nnns volume:23 year:2019 number:10 day:12 month:08 pages:2803-2815 https://dx.doi.org/10.1007/s10461-019-02630-5 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 44.78 ASE AR 23 2019 10 12 08 2803-2815 |
spelling |
10.1007/s10461-019-02630-5 doi (DE-627)SPR010246118 (SPR)s10461-019-02630-5-e DE-627 ger DE-627 rakwb eng 610 ASE 44.78 bkl Vincent, Wilson verfasserin aut A Person-Centered Approach to HIV-Related Protective and Risk Factors for Young Black Men Who Have Sex with Men: Implications for Pre-exposure Prophylaxis and HIV Treatment as Prevention 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Although young Black men who have sex with men (YBMSM) are disproportionately affected by HIV, they may be more heterogeneous as a group than is typically appreciated. Thus, the present study used a person-centered data-analytic approach to determine profiles of HIV-related risk among YBMSM and whether these profiles could be distinguished by age, HIV status, and socioeconomic risk (i.e., socioeconomic distress). YBMSM (N = 1808) aged 18 to 29 years completed a survey of sociodemographic characteristics, HIV status, and HIV-related behavioral and attitudinal factors (i.e., safer-sex self-efficacy, negative condom attitudes, being in difficult sexual situations, being in difficult sexual relationships, HIV treatment optimism, perceived HIV stigma). Latent profile analysis was used to identify HIV risk profiles and whether age, HIV status, and socioeconomic distress were associated with these profiles. Four profiles emerged: low-, medium-, and high-risk profiles, respectively, and a mixed profile characterized by a tendency to be in difficult sexual situations and relationships while also reporting high safer-sex self-efficacy and low negative attitudes toward condom use. Difficult sexual situations emerged as the key defining indicator of whether a profile reflected higher or lower risk. Younger age, being HIV-positive, and socioeconomic distress were associated with having a higher-risk profile. Given that unique risk profiles emerged that were differentially predicted by sociodemographic characteristics and HIV status, these findings have implications for tailoring interventions to the needs of different subgroups of YBMSM. Also, disempowering or risky sexual situations and relationships among YBMSM must be addressed. Young Black men who have sex with men (dpeaa)DE-He213 HIV (dpeaa)DE-He213 Protective factors (dpeaa)DE-He213 Risk factors (dpeaa)DE-He213 Latent profile analysis (dpeaa)DE-He213 Peterson, John L. verfasserin aut Storholm, Erik D. verfasserin aut Huebner, David M. verfasserin aut Neilands, Torsten B. verfasserin aut Calabrese, Sarah K. verfasserin aut Rebchook, Gregory M. verfasserin aut Tan, Judy Y. verfasserin aut Pollack, Lance verfasserin aut Kegeles, Susan M. verfasserin aut Enthalten in Aids and behavior Dordrecht [u.a.] : Springer Science + Business Media B.V, 1997 23(2019), 10 vom: 12. Aug., Seite 2803-2815 (DE-627)320523144 (DE-600)2014832-X 1573-3254 nnns volume:23 year:2019 number:10 day:12 month:08 pages:2803-2815 https://dx.doi.org/10.1007/s10461-019-02630-5 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 44.78 ASE AR 23 2019 10 12 08 2803-2815 |
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10.1007/s10461-019-02630-5 doi (DE-627)SPR010246118 (SPR)s10461-019-02630-5-e DE-627 ger DE-627 rakwb eng 610 ASE 44.78 bkl Vincent, Wilson verfasserin aut A Person-Centered Approach to HIV-Related Protective and Risk Factors for Young Black Men Who Have Sex with Men: Implications for Pre-exposure Prophylaxis and HIV Treatment as Prevention 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Although young Black men who have sex with men (YBMSM) are disproportionately affected by HIV, they may be more heterogeneous as a group than is typically appreciated. Thus, the present study used a person-centered data-analytic approach to determine profiles of HIV-related risk among YBMSM and whether these profiles could be distinguished by age, HIV status, and socioeconomic risk (i.e., socioeconomic distress). YBMSM (N = 1808) aged 18 to 29 years completed a survey of sociodemographic characteristics, HIV status, and HIV-related behavioral and attitudinal factors (i.e., safer-sex self-efficacy, negative condom attitudes, being in difficult sexual situations, being in difficult sexual relationships, HIV treatment optimism, perceived HIV stigma). Latent profile analysis was used to identify HIV risk profiles and whether age, HIV status, and socioeconomic distress were associated with these profiles. Four profiles emerged: low-, medium-, and high-risk profiles, respectively, and a mixed profile characterized by a tendency to be in difficult sexual situations and relationships while also reporting high safer-sex self-efficacy and low negative attitudes toward condom use. Difficult sexual situations emerged as the key defining indicator of whether a profile reflected higher or lower risk. Younger age, being HIV-positive, and socioeconomic distress were associated with having a higher-risk profile. Given that unique risk profiles emerged that were differentially predicted by sociodemographic characteristics and HIV status, these findings have implications for tailoring interventions to the needs of different subgroups of YBMSM. Also, disempowering or risky sexual situations and relationships among YBMSM must be addressed. Young Black men who have sex with men (dpeaa)DE-He213 HIV (dpeaa)DE-He213 Protective factors (dpeaa)DE-He213 Risk factors (dpeaa)DE-He213 Latent profile analysis (dpeaa)DE-He213 Peterson, John L. verfasserin aut Storholm, Erik D. verfasserin aut Huebner, David M. verfasserin aut Neilands, Torsten B. verfasserin aut Calabrese, Sarah K. verfasserin aut Rebchook, Gregory M. verfasserin aut Tan, Judy Y. verfasserin aut Pollack, Lance verfasserin aut Kegeles, Susan M. verfasserin aut Enthalten in Aids and behavior Dordrecht [u.a.] : Springer Science + Business Media B.V, 1997 23(2019), 10 vom: 12. Aug., Seite 2803-2815 (DE-627)320523144 (DE-600)2014832-X 1573-3254 nnns volume:23 year:2019 number:10 day:12 month:08 pages:2803-2815 https://dx.doi.org/10.1007/s10461-019-02630-5 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 44.78 ASE AR 23 2019 10 12 08 2803-2815 |
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10.1007/s10461-019-02630-5 doi (DE-627)SPR010246118 (SPR)s10461-019-02630-5-e DE-627 ger DE-627 rakwb eng 610 ASE 44.78 bkl Vincent, Wilson verfasserin aut A Person-Centered Approach to HIV-Related Protective and Risk Factors for Young Black Men Who Have Sex with Men: Implications for Pre-exposure Prophylaxis and HIV Treatment as Prevention 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Although young Black men who have sex with men (YBMSM) are disproportionately affected by HIV, they may be more heterogeneous as a group than is typically appreciated. Thus, the present study used a person-centered data-analytic approach to determine profiles of HIV-related risk among YBMSM and whether these profiles could be distinguished by age, HIV status, and socioeconomic risk (i.e., socioeconomic distress). YBMSM (N = 1808) aged 18 to 29 years completed a survey of sociodemographic characteristics, HIV status, and HIV-related behavioral and attitudinal factors (i.e., safer-sex self-efficacy, negative condom attitudes, being in difficult sexual situations, being in difficult sexual relationships, HIV treatment optimism, perceived HIV stigma). Latent profile analysis was used to identify HIV risk profiles and whether age, HIV status, and socioeconomic distress were associated with these profiles. Four profiles emerged: low-, medium-, and high-risk profiles, respectively, and a mixed profile characterized by a tendency to be in difficult sexual situations and relationships while also reporting high safer-sex self-efficacy and low negative attitudes toward condom use. Difficult sexual situations emerged as the key defining indicator of whether a profile reflected higher or lower risk. Younger age, being HIV-positive, and socioeconomic distress were associated with having a higher-risk profile. Given that unique risk profiles emerged that were differentially predicted by sociodemographic characteristics and HIV status, these findings have implications for tailoring interventions to the needs of different subgroups of YBMSM. Also, disempowering or risky sexual situations and relationships among YBMSM must be addressed. Young Black men who have sex with men (dpeaa)DE-He213 HIV (dpeaa)DE-He213 Protective factors (dpeaa)DE-He213 Risk factors (dpeaa)DE-He213 Latent profile analysis (dpeaa)DE-He213 Peterson, John L. verfasserin aut Storholm, Erik D. verfasserin aut Huebner, David M. verfasserin aut Neilands, Torsten B. verfasserin aut Calabrese, Sarah K. verfasserin aut Rebchook, Gregory M. verfasserin aut Tan, Judy Y. verfasserin aut Pollack, Lance verfasserin aut Kegeles, Susan M. verfasserin aut Enthalten in Aids and behavior Dordrecht [u.a.] : Springer Science + Business Media B.V, 1997 23(2019), 10 vom: 12. Aug., Seite 2803-2815 (DE-627)320523144 (DE-600)2014832-X 1573-3254 nnns volume:23 year:2019 number:10 day:12 month:08 pages:2803-2815 https://dx.doi.org/10.1007/s10461-019-02630-5 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 44.78 ASE AR 23 2019 10 12 08 2803-2815 |
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10.1007/s10461-019-02630-5 doi (DE-627)SPR010246118 (SPR)s10461-019-02630-5-e DE-627 ger DE-627 rakwb eng 610 ASE 44.78 bkl Vincent, Wilson verfasserin aut A Person-Centered Approach to HIV-Related Protective and Risk Factors for Young Black Men Who Have Sex with Men: Implications for Pre-exposure Prophylaxis and HIV Treatment as Prevention 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Although young Black men who have sex with men (YBMSM) are disproportionately affected by HIV, they may be more heterogeneous as a group than is typically appreciated. Thus, the present study used a person-centered data-analytic approach to determine profiles of HIV-related risk among YBMSM and whether these profiles could be distinguished by age, HIV status, and socioeconomic risk (i.e., socioeconomic distress). YBMSM (N = 1808) aged 18 to 29 years completed a survey of sociodemographic characteristics, HIV status, and HIV-related behavioral and attitudinal factors (i.e., safer-sex self-efficacy, negative condom attitudes, being in difficult sexual situations, being in difficult sexual relationships, HIV treatment optimism, perceived HIV stigma). Latent profile analysis was used to identify HIV risk profiles and whether age, HIV status, and socioeconomic distress were associated with these profiles. Four profiles emerged: low-, medium-, and high-risk profiles, respectively, and a mixed profile characterized by a tendency to be in difficult sexual situations and relationships while also reporting high safer-sex self-efficacy and low negative attitudes toward condom use. Difficult sexual situations emerged as the key defining indicator of whether a profile reflected higher or lower risk. Younger age, being HIV-positive, and socioeconomic distress were associated with having a higher-risk profile. Given that unique risk profiles emerged that were differentially predicted by sociodemographic characteristics and HIV status, these findings have implications for tailoring interventions to the needs of different subgroups of YBMSM. Also, disempowering or risky sexual situations and relationships among YBMSM must be addressed. Young Black men who have sex with men (dpeaa)DE-He213 HIV (dpeaa)DE-He213 Protective factors (dpeaa)DE-He213 Risk factors (dpeaa)DE-He213 Latent profile analysis (dpeaa)DE-He213 Peterson, John L. verfasserin aut Storholm, Erik D. verfasserin aut Huebner, David M. verfasserin aut Neilands, Torsten B. verfasserin aut Calabrese, Sarah K. verfasserin aut Rebchook, Gregory M. verfasserin aut Tan, Judy Y. verfasserin aut Pollack, Lance verfasserin aut Kegeles, Susan M. verfasserin aut Enthalten in Aids and behavior Dordrecht [u.a.] : Springer Science + Business Media B.V, 1997 23(2019), 10 vom: 12. Aug., Seite 2803-2815 (DE-627)320523144 (DE-600)2014832-X 1573-3254 nnns volume:23 year:2019 number:10 day:12 month:08 pages:2803-2815 https://dx.doi.org/10.1007/s10461-019-02630-5 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 44.78 ASE AR 23 2019 10 12 08 2803-2815 |
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Young Black men who have sex with men HIV Protective factors Risk factors Latent profile analysis |
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Vincent, Wilson @@aut@@ Peterson, John L. @@aut@@ Storholm, Erik D. @@aut@@ Huebner, David M. @@aut@@ Neilands, Torsten B. @@aut@@ Calabrese, Sarah K. @@aut@@ Rebchook, Gregory M. @@aut@@ Tan, Judy Y. @@aut@@ Pollack, Lance @@aut@@ Kegeles, Susan M. @@aut@@ |
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Thus, the present study used a person-centered data-analytic approach to determine profiles of HIV-related risk among YBMSM and whether these profiles could be distinguished by age, HIV status, and socioeconomic risk (i.e., socioeconomic distress). YBMSM (N = 1808) aged 18 to 29 years completed a survey of sociodemographic characteristics, HIV status, and HIV-related behavioral and attitudinal factors (i.e., safer-sex self-efficacy, negative condom attitudes, being in difficult sexual situations, being in difficult sexual relationships, HIV treatment optimism, perceived HIV stigma). Latent profile analysis was used to identify HIV risk profiles and whether age, HIV status, and socioeconomic distress were associated with these profiles. 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Vincent, Wilson |
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Vincent, Wilson ddc 610 bkl 44.78 misc Young Black men who have sex with men misc HIV misc Protective factors misc Risk factors misc Latent profile analysis A Person-Centered Approach to HIV-Related Protective and Risk Factors for Young Black Men Who Have Sex with Men: Implications for Pre-exposure Prophylaxis and HIV Treatment as Prevention |
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610 ASE 44.78 bkl A Person-Centered Approach to HIV-Related Protective and Risk Factors for Young Black Men Who Have Sex with Men: Implications for Pre-exposure Prophylaxis and HIV Treatment as Prevention Young Black men who have sex with men (dpeaa)DE-He213 HIV (dpeaa)DE-He213 Protective factors (dpeaa)DE-He213 Risk factors (dpeaa)DE-He213 Latent profile analysis (dpeaa)DE-He213 |
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ddc 610 bkl 44.78 misc Young Black men who have sex with men misc HIV misc Protective factors misc Risk factors misc Latent profile analysis |
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A Person-Centered Approach to HIV-Related Protective and Risk Factors for Young Black Men Who Have Sex with Men: Implications for Pre-exposure Prophylaxis and HIV Treatment as Prevention |
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Vincent, Wilson Peterson, John L. Storholm, Erik D. Huebner, David M. Neilands, Torsten B. Calabrese, Sarah K. Rebchook, Gregory M. Tan, Judy Y. Pollack, Lance Kegeles, Susan M. |
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person-centered approach to hiv-related protective and risk factors for young black men who have sex with men: implications for pre-exposure prophylaxis and hiv treatment as prevention |
title_auth |
A Person-Centered Approach to HIV-Related Protective and Risk Factors for Young Black Men Who Have Sex with Men: Implications for Pre-exposure Prophylaxis and HIV Treatment as Prevention |
abstract |
Abstract Although young Black men who have sex with men (YBMSM) are disproportionately affected by HIV, they may be more heterogeneous as a group than is typically appreciated. Thus, the present study used a person-centered data-analytic approach to determine profiles of HIV-related risk among YBMSM and whether these profiles could be distinguished by age, HIV status, and socioeconomic risk (i.e., socioeconomic distress). YBMSM (N = 1808) aged 18 to 29 years completed a survey of sociodemographic characteristics, HIV status, and HIV-related behavioral and attitudinal factors (i.e., safer-sex self-efficacy, negative condom attitudes, being in difficult sexual situations, being in difficult sexual relationships, HIV treatment optimism, perceived HIV stigma). Latent profile analysis was used to identify HIV risk profiles and whether age, HIV status, and socioeconomic distress were associated with these profiles. Four profiles emerged: low-, medium-, and high-risk profiles, respectively, and a mixed profile characterized by a tendency to be in difficult sexual situations and relationships while also reporting high safer-sex self-efficacy and low negative attitudes toward condom use. Difficult sexual situations emerged as the key defining indicator of whether a profile reflected higher or lower risk. Younger age, being HIV-positive, and socioeconomic distress were associated with having a higher-risk profile. Given that unique risk profiles emerged that were differentially predicted by sociodemographic characteristics and HIV status, these findings have implications for tailoring interventions to the needs of different subgroups of YBMSM. Also, disempowering or risky sexual situations and relationships among YBMSM must be addressed. |
abstractGer |
Abstract Although young Black men who have sex with men (YBMSM) are disproportionately affected by HIV, they may be more heterogeneous as a group than is typically appreciated. Thus, the present study used a person-centered data-analytic approach to determine profiles of HIV-related risk among YBMSM and whether these profiles could be distinguished by age, HIV status, and socioeconomic risk (i.e., socioeconomic distress). YBMSM (N = 1808) aged 18 to 29 years completed a survey of sociodemographic characteristics, HIV status, and HIV-related behavioral and attitudinal factors (i.e., safer-sex self-efficacy, negative condom attitudes, being in difficult sexual situations, being in difficult sexual relationships, HIV treatment optimism, perceived HIV stigma). Latent profile analysis was used to identify HIV risk profiles and whether age, HIV status, and socioeconomic distress were associated with these profiles. Four profiles emerged: low-, medium-, and high-risk profiles, respectively, and a mixed profile characterized by a tendency to be in difficult sexual situations and relationships while also reporting high safer-sex self-efficacy and low negative attitudes toward condom use. Difficult sexual situations emerged as the key defining indicator of whether a profile reflected higher or lower risk. Younger age, being HIV-positive, and socioeconomic distress were associated with having a higher-risk profile. Given that unique risk profiles emerged that were differentially predicted by sociodemographic characteristics and HIV status, these findings have implications for tailoring interventions to the needs of different subgroups of YBMSM. Also, disempowering or risky sexual situations and relationships among YBMSM must be addressed. |
abstract_unstemmed |
Abstract Although young Black men who have sex with men (YBMSM) are disproportionately affected by HIV, they may be more heterogeneous as a group than is typically appreciated. Thus, the present study used a person-centered data-analytic approach to determine profiles of HIV-related risk among YBMSM and whether these profiles could be distinguished by age, HIV status, and socioeconomic risk (i.e., socioeconomic distress). YBMSM (N = 1808) aged 18 to 29 years completed a survey of sociodemographic characteristics, HIV status, and HIV-related behavioral and attitudinal factors (i.e., safer-sex self-efficacy, negative condom attitudes, being in difficult sexual situations, being in difficult sexual relationships, HIV treatment optimism, perceived HIV stigma). Latent profile analysis was used to identify HIV risk profiles and whether age, HIV status, and socioeconomic distress were associated with these profiles. Four profiles emerged: low-, medium-, and high-risk profiles, respectively, and a mixed profile characterized by a tendency to be in difficult sexual situations and relationships while also reporting high safer-sex self-efficacy and low negative attitudes toward condom use. Difficult sexual situations emerged as the key defining indicator of whether a profile reflected higher or lower risk. Younger age, being HIV-positive, and socioeconomic distress were associated with having a higher-risk profile. Given that unique risk profiles emerged that were differentially predicted by sociodemographic characteristics and HIV status, these findings have implications for tailoring interventions to the needs of different subgroups of YBMSM. Also, disempowering or risky sexual situations and relationships among YBMSM must be addressed. |
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container_issue |
10 |
title_short |
A Person-Centered Approach to HIV-Related Protective and Risk Factors for Young Black Men Who Have Sex with Men: Implications for Pre-exposure Prophylaxis and HIV Treatment as Prevention |
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https://dx.doi.org/10.1007/s10461-019-02630-5 |
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author2Str |
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up_date |
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|
score |
7.400442 |