Associations Between Affective States and Sexual and Health Status Among Men Who Have Sex With Men in China: Exploratory Study Using Social Media Data
Affective states, including sentiment and emotion, are critical determinants of health. However, few studies among men who have sex with men (MSM) have examined sentiment and emotion specifically using real-time social media technologies. Moreover, the explorations on their associations with sexual...
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| Veröffentlicht in: | Journal of medical Internet research 2020-01, Vol.22 (1), p.e13201-e13201 |
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| creator | Zheng, Zhi-Wei Yang, Qing-Ling Liu, Zhong-Qi Qiu, Jia-Ling Gu, Jing Hao, Yuan-Tao Song, Chao Jia, Zhong-Wei Hao, Chun |
| description | Affective states, including sentiment and emotion, are critical determinants of health. However, few studies among men who have sex with men (MSM) have examined sentiment and emotion specifically using real-time social media technologies. Moreover, the explorations on their associations with sexual and health status among MSM are limited.
This study aimed to understand and examine the associations of affective states with sexual behaviors and health status among MSM using public data from the Blued (Blued International Inc) app.
A total of 843,745 public postings of 377,610 MSM users located in Guangdong were saved from the Blued app by automatic screen capture. Positive affect, negative affect, sexual behaviors, and health status were measured using the Simplified Chinese Linguistic Inquiry and Word Count. Emotions, including joy, sadness, anger, fear, and disgust, were measured using the Weibo Basic Mood Lexicon. A positive sentiment score and a positive emotion score were also calculated. Univariate and multivariate linear regression models on the basis of a permutation test were used to assess the associations of affective states with sexual behaviors and health status.
A total of 5871 active MSM users and their 477,374 postings were finally selected. Both positive affect and positive emotions (eg, joy) peaked between 7 AM and 9 AM. Negative affect and negative emotions (eg, sadness and disgust) peaked between 2 AM and 4 AM. During that time, 25.1% (97/387) of negative postings were related to health and 13.4% (52/387) of negative postings were related to seeking social support. A multivariate analysis showed that the MSM who were more likely to post sexual behaviors were more likely to express positive affect (beta=0.3107; P |
| doi_str_mv | 10.2196/13201 |
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This study aimed to understand and examine the associations of affective states with sexual behaviors and health status among MSM using public data from the Blued (Blued International Inc) app.
A total of 843,745 public postings of 377,610 MSM users located in Guangdong were saved from the Blued app by automatic screen capture. Positive affect, negative affect, sexual behaviors, and health status were measured using the Simplified Chinese Linguistic Inquiry and Word Count. Emotions, including joy, sadness, anger, fear, and disgust, were measured using the Weibo Basic Mood Lexicon. A positive sentiment score and a positive emotion score were also calculated. Univariate and multivariate linear regression models on the basis of a permutation test were used to assess the associations of affective states with sexual behaviors and health status.
A total of 5871 active MSM users and their 477,374 postings were finally selected. Both positive affect and positive emotions (eg, joy) peaked between 7 AM and 9 AM. Negative affect and negative emotions (eg, sadness and disgust) peaked between 2 AM and 4 AM. During that time, 25.1% (97/387) of negative postings were related to health and 13.4% (52/387) of negative postings were related to seeking social support. A multivariate analysis showed that the MSM who were more likely to post sexual behaviors were more likely to express positive affect (beta=0.3107; P<.001) and positive emotions (joy: beta=0.027; P<.001), as well as negative emotions (sadness: beta=0.0443; P<.001 and disgust: beta=0.0256; P<.001). They also had a higher positive sentiment score (beta=0.2947; P<.001) and a higher positive emotion score (beta=0.1612; P<.001). The MSM who were more likely to post their health status were more likely to express negative affect (beta=0.8088; P<.001) and negative emotions, including sadness (beta=0.0705; P<.001), anger (beta=0.0058; P<.001), fear (beta=0.0052; P<.001), and disgust (beta=0.3065; P<.001), and less likely to express positive affect (beta=-0.0224; P=.02). In addition, they had a lower positive sentiment score (beta=-0.8306; P<.001) and a lower positive emotion score (beta=-0.3743; P<.001).
The MSM social media community mainly expressed their positive affect in the early morning and negative affect after midnight. Positive affective states were associated with being sexually active, whereas negative affective states were associated with health problems, mostly about mental health. Our finding suggests the potential to deliver different health-related intervention strategies (eg, psychological counseling and safe sex promotion) on a social media app according to the affective states of MSM in real time.]]></description><identifier>ISSN: 1438-8871</identifier><identifier>ISSN: 1439-4456</identifier><identifier>EISSN: 1438-8871</identifier><identifier>DOI: 10.2196/13201</identifier><identifier>PMID: 32012054</identifier><language>eng</language><publisher>Canada: Gunther Eysenbach MD MPH, Associate Professor</publisher><subject>Acquired immune deficiency syndrome ; AIDS ; Anger ; Disgust ; Emotions ; Fear & phobias ; Health behavior ; Health problems ; Health promotion ; Health status ; HIV ; Human immunodeficiency virus ; Men who have sex with men ; Mental health ; Multivariate analysis ; Negative emotions ; Original Paper ; Positive emotions ; Sadness ; Safe sexual practices ; Sexual behavior ; Social media ; Social networks ; Social support</subject><ispartof>Journal of medical Internet research, 2020-01, Vol.22 (1), p.e13201-e13201</ispartof><rights>Zhi-Wei Zheng, Qing-Ling Yang, Zhong-Qi Liu, Jia-Ling Qiu, Jing Gu, Yuan-Tao Hao, Chao Song, Zhong-Wei Jia, Chun Hao. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 31.01.2020.</rights><rights>2020. This work is licensed under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>Zhi-Wei Zheng, Qing-Ling Yang, Zhong-Qi Liu, Jia-Ling Qiu, Jing Gu, Yuan-Tao Hao, Chao Song, Zhong-Wei Jia, Chun Hao. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 31.01.2020. 2020</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c391t-9aee7e33a5f1d09e012b9cd467761224d9f8bc0f5a0db2156128341bae9ea7973</citedby><cites>FETCH-LOGICAL-c391t-9aee7e33a5f1d09e012b9cd467761224d9f8bc0f5a0db2156128341bae9ea7973</cites><orcidid>0000-0002-5519-6245 ; 0000-0001-5436-2339 ; 0000-0002-2058-9970 ; 0000-0001-8024-5312 ; 0000-0001-8010-4325 ; 0000-0002-4830-1860 ; 0000-0002-0416-8535 ; 0000-0002-9881-6504 ; 0000-0002-5362-7339</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,727,780,784,864,885,12846,27924,27925,30999</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/32012054$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Zheng, Zhi-Wei</creatorcontrib><creatorcontrib>Yang, Qing-Ling</creatorcontrib><creatorcontrib>Liu, Zhong-Qi</creatorcontrib><creatorcontrib>Qiu, Jia-Ling</creatorcontrib><creatorcontrib>Gu, Jing</creatorcontrib><creatorcontrib>Hao, Yuan-Tao</creatorcontrib><creatorcontrib>Song, Chao</creatorcontrib><creatorcontrib>Jia, Zhong-Wei</creatorcontrib><creatorcontrib>Hao, Chun</creatorcontrib><title>Associations Between Affective States and Sexual and Health Status Among Men Who Have Sex With Men in China: Exploratory Study Using Social Media Data</title><title>Journal of medical Internet research</title><addtitle>J Med Internet Res</addtitle><description><![CDATA[Affective states, including sentiment and emotion, are critical determinants of health. However, few studies among men who have sex with men (MSM) have examined sentiment and emotion specifically using real-time social media technologies. Moreover, the explorations on their associations with sexual and health status among MSM are limited.
This study aimed to understand and examine the associations of affective states with sexual behaviors and health status among MSM using public data from the Blued (Blued International Inc) app.
A total of 843,745 public postings of 377,610 MSM users located in Guangdong were saved from the Blued app by automatic screen capture. Positive affect, negative affect, sexual behaviors, and health status were measured using the Simplified Chinese Linguistic Inquiry and Word Count. Emotions, including joy, sadness, anger, fear, and disgust, were measured using the Weibo Basic Mood Lexicon. A positive sentiment score and a positive emotion score were also calculated. Univariate and multivariate linear regression models on the basis of a permutation test were used to assess the associations of affective states with sexual behaviors and health status.
A total of 5871 active MSM users and their 477,374 postings were finally selected. Both positive affect and positive emotions (eg, joy) peaked between 7 AM and 9 AM. Negative affect and negative emotions (eg, sadness and disgust) peaked between 2 AM and 4 AM. During that time, 25.1% (97/387) of negative postings were related to health and 13.4% (52/387) of negative postings were related to seeking social support. A multivariate analysis showed that the MSM who were more likely to post sexual behaviors were more likely to express positive affect (beta=0.3107; P<.001) and positive emotions (joy: beta=0.027; P<.001), as well as negative emotions (sadness: beta=0.0443; P<.001 and disgust: beta=0.0256; P<.001). They also had a higher positive sentiment score (beta=0.2947; P<.001) and a higher positive emotion score (beta=0.1612; P<.001). The MSM who were more likely to post their health status were more likely to express negative affect (beta=0.8088; P<.001) and negative emotions, including sadness (beta=0.0705; P<.001), anger (beta=0.0058; P<.001), fear (beta=0.0052; P<.001), and disgust (beta=0.3065; P<.001), and less likely to express positive affect (beta=-0.0224; P=.02). In addition, they had a lower positive sentiment score (beta=-0.8306; P<.001) and a lower positive emotion score (beta=-0.3743; P<.001).
The MSM social media community mainly expressed their positive affect in the early morning and negative affect after midnight. Positive affective states were associated with being sexually active, whereas negative affective states were associated with health problems, mostly about mental health. Our finding suggests the potential to deliver different health-related intervention strategies (eg, psychological counseling and safe sex promotion) on a social media app according to the affective states of MSM in real time.]]></description><subject>Acquired immune deficiency syndrome</subject><subject>AIDS</subject><subject>Anger</subject><subject>Disgust</subject><subject>Emotions</subject><subject>Fear & phobias</subject><subject>Health behavior</subject><subject>Health problems</subject><subject>Health promotion</subject><subject>Health status</subject><subject>HIV</subject><subject>Human immunodeficiency virus</subject><subject>Men who have sex with men</subject><subject>Mental health</subject><subject>Multivariate analysis</subject><subject>Negative emotions</subject><subject>Original Paper</subject><subject>Positive emotions</subject><subject>Sadness</subject><subject>Safe sexual practices</subject><subject>Sexual behavior</subject><subject>Social media</subject><subject>Social networks</subject><subject>Social support</subject><issn>1438-8871</issn><issn>1439-4456</issn><issn>1438-8871</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>7QJ</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNpdkc9uEzEQxi0Eom3oKyBLCIlLwH924zUHpBAKQSriEKoerdnd2cbVxk5tb0lepM-LNy1V4eTRzO-b-cZDyCln7wXXsw9cCsafkWNeyGpaVYo_fxIfkZMYrxkTrND8JTkaWcHK4pjczWP0jYVkvYv0M6bfiI7Ouw6bZG-RrhIkjBRcS1e4G6A_hEuEPq0PxSHS-ca7K_oj6y7Xni5hlOGOXtqMjFnr6GJtHXykZ7tt7wMkH_ZZPLR7ehFt1q5GC32GWwv0CyR4RV500Ec8fXgn5OLr2a_Fcnr-89v3xfx82kjN01QDokIpoex4yzTmrWrdtMVMqRkXomh1V9UN60pgbS14mZOVLHgNqBGUVnJCPt333Q71BtsGXQrQm22wGwh748GafyvOrs2VvzWKlVLl_52Qdw8Ngr8ZMCazsbHBvgeHfohGyJJVWhflOOvNf-i1H4LL6xmhpCq5Ulxm6u091QQfY8Du0QxnZry0OVw6c6-fOn-k_p5W_gGl1qMG</recordid><startdate>20200131</startdate><enddate>20200131</enddate><creator>Zheng, Zhi-Wei</creator><creator>Yang, Qing-Ling</creator><creator>Liu, Zhong-Qi</creator><creator>Qiu, Jia-Ling</creator><creator>Gu, Jing</creator><creator>Hao, Yuan-Tao</creator><creator>Song, Chao</creator><creator>Jia, Zhong-Wei</creator><creator>Hao, Chun</creator><general>Gunther Eysenbach MD MPH, Associate Professor</general><general>JMIR Publications</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7QJ</scope><scope>7RV</scope><scope>7X7</scope><scope>7XB</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ALSLI</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>CNYFK</scope><scope>DWQXO</scope><scope>E3H</scope><scope>F2A</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>KB0</scope><scope>M0S</scope><scope>M1O</scope><scope>NAPCQ</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0002-5519-6245</orcidid><orcidid>https://orcid.org/0000-0001-5436-2339</orcidid><orcidid>https://orcid.org/0000-0002-2058-9970</orcidid><orcidid>https://orcid.org/0000-0001-8024-5312</orcidid><orcidid>https://orcid.org/0000-0001-8010-4325</orcidid><orcidid>https://orcid.org/0000-0002-4830-1860</orcidid><orcidid>https://orcid.org/0000-0002-0416-8535</orcidid><orcidid>https://orcid.org/0000-0002-9881-6504</orcidid><orcidid>https://orcid.org/0000-0002-5362-7339</orcidid></search><sort><creationdate>20200131</creationdate><title>Associations Between Affective States and Sexual and Health Status Among Men Who Have Sex With Men in China: Exploratory Study Using Social Media Data</title><author>Zheng, Zhi-Wei ; Yang, Qing-Ling ; Liu, Zhong-Qi ; Qiu, Jia-Ling ; Gu, Jing ; Hao, Yuan-Tao ; Song, Chao ; Jia, Zhong-Wei ; Hao, Chun</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c391t-9aee7e33a5f1d09e012b9cd467761224d9f8bc0f5a0db2156128341bae9ea7973</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Acquired immune deficiency syndrome</topic><topic>AIDS</topic><topic>Anger</topic><topic>Disgust</topic><topic>Emotions</topic><topic>Fear & phobias</topic><topic>Health behavior</topic><topic>Health problems</topic><topic>Health promotion</topic><topic>Health status</topic><topic>HIV</topic><topic>Human immunodeficiency virus</topic><topic>Men who have sex with men</topic><topic>Mental health</topic><topic>Multivariate analysis</topic><topic>Negative emotions</topic><topic>Original Paper</topic><topic>Positive emotions</topic><topic>Sadness</topic><topic>Safe sexual practices</topic><topic>Sexual behavior</topic><topic>Social media</topic><topic>Social networks</topic><topic>Social support</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Zheng, Zhi-Wei</creatorcontrib><creatorcontrib>Yang, Qing-Ling</creatorcontrib><creatorcontrib>Liu, Zhong-Qi</creatorcontrib><creatorcontrib>Qiu, Jia-Ling</creatorcontrib><creatorcontrib>Gu, Jing</creatorcontrib><creatorcontrib>Hao, Yuan-Tao</creatorcontrib><creatorcontrib>Song, Chao</creatorcontrib><creatorcontrib>Jia, Zhong-Wei</creatorcontrib><creatorcontrib>Hao, Chun</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Applied Social Sciences Index & Abstracts (ASSIA)</collection><collection>Nursing & Allied Health Database</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Social Science Premium Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>Library & Information Science Collection</collection><collection>ProQuest Central Korea</collection><collection>Library & Information Sciences Abstracts (LISA)</collection><collection>Library & Information Science Abstracts (LISA)</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Library Science Database</collection><collection>Nursing & Allied Health Premium</collection><collection>Access via ProQuest (Open Access)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Journal of medical Internet research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zheng, Zhi-Wei</au><au>Yang, Qing-Ling</au><au>Liu, Zhong-Qi</au><au>Qiu, Jia-Ling</au><au>Gu, Jing</au><au>Hao, Yuan-Tao</au><au>Song, Chao</au><au>Jia, Zhong-Wei</au><au>Hao, Chun</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Associations Between Affective States and Sexual and Health Status Among Men Who Have Sex With Men in China: Exploratory Study Using Social Media Data</atitle><jtitle>Journal of medical Internet research</jtitle><addtitle>J Med Internet Res</addtitle><date>2020-01-31</date><risdate>2020</risdate><volume>22</volume><issue>1</issue><spage>e13201</spage><epage>e13201</epage><pages>e13201-e13201</pages><issn>1438-8871</issn><issn>1439-4456</issn><eissn>1438-8871</eissn><abstract><![CDATA[Affective states, including sentiment and emotion, are critical determinants of health. However, few studies among men who have sex with men (MSM) have examined sentiment and emotion specifically using real-time social media technologies. Moreover, the explorations on their associations with sexual and health status among MSM are limited.
This study aimed to understand and examine the associations of affective states with sexual behaviors and health status among MSM using public data from the Blued (Blued International Inc) app.
A total of 843,745 public postings of 377,610 MSM users located in Guangdong were saved from the Blued app by automatic screen capture. Positive affect, negative affect, sexual behaviors, and health status were measured using the Simplified Chinese Linguistic Inquiry and Word Count. Emotions, including joy, sadness, anger, fear, and disgust, were measured using the Weibo Basic Mood Lexicon. A positive sentiment score and a positive emotion score were also calculated. Univariate and multivariate linear regression models on the basis of a permutation test were used to assess the associations of affective states with sexual behaviors and health status.
A total of 5871 active MSM users and their 477,374 postings were finally selected. Both positive affect and positive emotions (eg, joy) peaked between 7 AM and 9 AM. Negative affect and negative emotions (eg, sadness and disgust) peaked between 2 AM and 4 AM. During that time, 25.1% (97/387) of negative postings were related to health and 13.4% (52/387) of negative postings were related to seeking social support. A multivariate analysis showed that the MSM who were more likely to post sexual behaviors were more likely to express positive affect (beta=0.3107; P<.001) and positive emotions (joy: beta=0.027; P<.001), as well as negative emotions (sadness: beta=0.0443; P<.001 and disgust: beta=0.0256; P<.001). They also had a higher positive sentiment score (beta=0.2947; P<.001) and a higher positive emotion score (beta=0.1612; P<.001). The MSM who were more likely to post their health status were more likely to express negative affect (beta=0.8088; P<.001) and negative emotions, including sadness (beta=0.0705; P<.001), anger (beta=0.0058; P<.001), fear (beta=0.0052; P<.001), and disgust (beta=0.3065; P<.001), and less likely to express positive affect (beta=-0.0224; P=.02). In addition, they had a lower positive sentiment score (beta=-0.8306; P<.001) and a lower positive emotion score (beta=-0.3743; P<.001).
The MSM social media community mainly expressed their positive affect in the early morning and negative affect after midnight. Positive affective states were associated with being sexually active, whereas negative affective states were associated with health problems, mostly about mental health. Our finding suggests the potential to deliver different health-related intervention strategies (eg, psychological counseling and safe sex promotion) on a social media app according to the affective states of MSM in real time.]]></abstract><cop>Canada</cop><pub>Gunther Eysenbach MD MPH, Associate Professor</pub><pmid>32012054</pmid><doi>10.2196/13201</doi><orcidid>https://orcid.org/0000-0002-5519-6245</orcidid><orcidid>https://orcid.org/0000-0001-5436-2339</orcidid><orcidid>https://orcid.org/0000-0002-2058-9970</orcidid><orcidid>https://orcid.org/0000-0001-8024-5312</orcidid><orcidid>https://orcid.org/0000-0001-8010-4325</orcidid><orcidid>https://orcid.org/0000-0002-4830-1860</orcidid><orcidid>https://orcid.org/0000-0002-0416-8535</orcidid><orcidid>https://orcid.org/0000-0002-9881-6504</orcidid><orcidid>https://orcid.org/0000-0002-5362-7339</orcidid><oa>free_for_read</oa></addata></record> |
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| identifier | ISSN: 1438-8871 |
| ispartof | Journal of medical Internet research, 2020-01, Vol.22 (1), p.e13201-e13201 |
| issn | 1438-8871 1439-4456 1438-8871 |
| language | eng |
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| source | DOAJ Directory of Open Access Journals; PubMed Central Open Access; Applied Social Sciences Index & Abstracts (ASSIA); EZB-FREE-00999 freely available EZB journals; PubMed Central |
| subjects | Acquired immune deficiency syndrome AIDS Anger Disgust Emotions Fear & phobias Health behavior Health problems Health promotion Health status HIV Human immunodeficiency virus Men who have sex with men Mental health Multivariate analysis Negative emotions Original Paper Positive emotions Sadness Safe sexual practices Sexual behavior Social media Social networks Social support |
| title | Associations Between Affective States and Sexual and Health Status Among Men Who Have Sex With Men in China: Exploratory Study Using Social Media Data |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-26T14%3A26%3A52IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_pubme&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Associations%20Between%20Affective%20States%20and%20Sexual%20and%20Health%20Status%20Among%20Men%20Who%20Have%20Sex%20With%20Men%20in%20China:%20Exploratory%20Study%20Using%20Social%20Media%20Data&rft.jtitle=Journal%20of%20medical%20Internet%20research&rft.au=Zheng,%20Zhi-Wei&rft.date=2020-01-31&rft.volume=22&rft.issue=1&rft.spage=e13201&rft.epage=e13201&rft.pages=e13201-e13201&rft.issn=1438-8871&rft.eissn=1438-8871&rft_id=info:doi/10.2196/13201&rft_dat=%3Cproquest_pubme%3E2737517713%3C/proquest_pubme%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2737517713&rft_id=info:pmid/32012054&rfr_iscdi=true |