An object-oriented analysis of social apps, syringes and ARTs within gay Taiwanese men's chemsex practices.

Critical drug studies explore the discursive and material dimensions of sexualised drug use to overcome individualised and often pathologising notions such as risk, safety, responsibility and pleasure. This article uses an object-oriented approach-following the use and flow of social apps, syringes and antiretroviral therapy (ART)-to analyse gay and bisexual Taiwanese men's drug practices. Interview data from fourteen men are used to articulate how objects were brought into gay and bisexual men's chemsex repertoire in ways that shaped individuals' safe-sex communication, intimacy maintenance and stigma negotiation. An object-oriented approach scrutinises risk, pleasure and identities in assemblages of the human and nonhuman, and can help identify new opportunities for implementing health promotion interventions and policies.

The effect of exercise on the risk of metabolic syndrome associated with sleep insufficiency: a cross-sectional study.

Introduction: Sleep disturbance and insufficient sleep have been linked to metabolic syndrome, increasing cardiovascular disease and mortality risk. However, few studies investigate the joint effect of sleep and exercise on metabolic syndrome. We hypothesized that regular exercise can mitigate the exacerbation of metabolic syndrome by sleep insufficiency. Objective: The aim of this study was to investigate whether exercise can attenuate or eliminate the relationship between sleep insufficiency and metabolic syndrome. Method: A total of 6,289 adults (mean age = 33.96 years; women: 74.81%) were included in the study, a cross-sectional study conducted based on the results of employee health screening questionnaires and databases from a large healthcare system in central Taiwan. Participants reported sleep insufficiency or not. Self-reported exercise habits were classified into 3 levels: no exercise, exercise <150 min/week, and exercise ≧150 min/week. Multiple logistic regression and sensitivity analyses were conducted to understand the joint associations of sleep patterns and exercise with metabolic syndrome with exposure variables combining sleep duration/disturbances and PA. Results: Compared with the reference group (sufficient sleep), individuals with sleep insufficiency had a higher risk for metabolic syndrome [adjusted odds ratio (AOR) = 1.40, 95% confidence interval (95% CI): 1.01-1.94, p < 0.05] in females aged 40-64 years, but not in other populations. Sleep insufficiency was not associated with the risk of metabolic syndrome among individuals achieving an exercise level of <150 min/week, and in particular among those achieving ≧150 min/week in all populations in our study. Conclusion: Sleep insufficiency was related to a higher risk of metabolic syndrome in female healthcare staff aged 40-64 years. Being physically active with exercise habits in these individuals, the risk of metabolic syndrome was no longer significant.

Preferences for long-acting pre-exposure prophylaxis among gay, bisexual and other men who have sex with men in Taiwan: findings from the 2021 HEART Survey.

INTRODUCTION: While various antiretrovirals have been studied as potential candidates for long-acting pre-exposure prophylaxis (PrEP), the bimonthly injectable cabotegravir-the first long-acting form of PrEP-was approved in 2021. Event-driven (ED) PrEP has been the most prevalent dosing regimen among gay, bisexual and other men who have sex with men (GBMSM) in Taiwan, providing a unique setting to observe the preferences for long-acting PrEP in a community where the daily regimen is not the mainstream method. This study aimed to determine the preferences for the different forms and dosing intervals of long-acting PrEP that are currently in the development pipeline. METHODS: We conducted a survey in 2021 by convenience sampling the users of social networking applications for GBMSM in Taiwan. Our survey included questions on sexual behaviours, current PrEP regimens and the preferences for potential candidates of long-acting PrEP, such as implants, intramuscular and subcutaneous injections. We compared the Likert-scale preference ratings for potential long-acting options, and conducted logistic regression analysis to examine the factors associated with a preference for bimonthly intramuscular injections (2M IM) over ED and daily PrEP regimens, respectively. RESULTS: A total of 1728 responses were eligible for analysis. Three percent of respondents (n = 52) were daily PrEP users; 11.5% (n = 198) were ED PrEP users. When not considering cost, current PrEP users-regardless of their original dosing regimen-were most likely to express preferences for monthly oral PrEP, followed by a 6-month subcutaneous injectable (6M SC) and 2M IM. However, among non-current PrEP users, monthly oral PrEP was the most preferred form, followed by ED, daily oral and 6M SC injectable. Multivariable logistic regression revealed that current daily users, those willing to take PrEP in the next 6 months and those with more sex partners in the last 12 months had a significant correlation with preferences for the 2M IM injectable over the ED PrEP. CONCLUSIONS: The monthly oral form was the most preferable long-acting PrEP among GBMSM in Taiwan. Current daily PrEP users preferred the 2M IM injectable over the ED PrEP, which made the 2M IM injectable a potential alternative. Further studies should focus on how the cost and delivery affect PrEP preferences and their actual uptake.

Comparison of In-Hospital Major Adverse Cardiovascular Events in Patients with Acute Myocardial Infarction Treated with Ticagrelor or Clopidogrel in the Emergency Department: A Propensity Score Matched Retrospective Cohort Study.

BACKGROUND: Dual antiplatelet therapy (DAPT) is a standard treatment option for acute myocardial infarction (AMI). The difference between the efficacy of ticagrelor and clopidogrel in the emergency department (ED) before percutaneous coronary intervention (PCI) remains unknown. The present study compared the in-hospital major adverse cardiovascular event (MACE) rates between patients with AMI treated with clopidogrel and those treated with ticagrelor in the ED before PCI. METHODS: We retrospectively collected the data of patients diagnosed as having AMI in the ED. Patients were only included if they had successfully received complete DAPT with aspirin and ticagrelor/clopidogrel in the ED and had undergone PCI. The patients were divided into two groups according to their DAPT regimen. The primary outcome was the rate of in-hospital MACEs. The secondary outcomes included an unexpected return to the ED within 72 h, readmission within 14 d, and revascularization. RESULTS: A total of 1836 patients were enrolled. Patients in the ticagrelor group had a lower in-hospital MACE rate (3.01% versus 7.51%, p < 0.001) and in-hospital mortality rate (2.15% versus 5.70%, p < 0.001) than those in the clopidogrel group. Multivariate logistic regression analysis revealed ticagrelor was independently associated with a lower risk of in-hospital MACEs (odds ratio [OR]: 0.53, 95% CI: 0.32-0.88, p = 0.013). After propensity score matching, the risk of in-hospital MACEs remained significantly lower in the ticagrelor group (OR 0.42, 95% CI: 0.21-0.85, p = 0.016). CONCLUSION: DAPT with ticagrelor and aspirin in the ED before PCI is associated with a lower in-hospital MACE rate among patients with AMI.

Association of Low Back Pain with Shift Work: A Meta-Analysis.

Shift work (SW) is the main working schedule worldwide, and it may cause sleep disorders, breast cancer, and cardiovascular disease. Low back pain (LBP) is a common problem in the workplace; however, the association between LBP and SW remains unclear. Therefore, we conducted a meta-analysis to determine the association between SW and LBP. This study was conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. The PubMed, Embase, and Web of Science databases using a set of associated keywords were queried. The inclusion criteria were as follows: (1) adult employees hired by a company or organization; (2) SW exposure; and (3) the outcome of LBP according to examination or assessment. A total of 40 studies were included that met the inclusion criteria for the meta-analysis. SW was significantly associated with LBP (odds ratio [OR]: 1.31, 95% confidence interval [CI]: 1.18−1.47, p < 0.00001). Furthermore, it was observed that LBP was significantly associated with night shift (NS) (OR: 1.49, 95% CI: 1.24−1.82, p < 0.0001) but not with rotating shift (RS) (OR: 0.96, 95% CI: 0.76−1.22, p = 0.49). Moreover, LBP was significantly associated with SW in health care workers (HCWs) (OR: 1.40, 95% CI: 1.20−1.63, p < 0.0001) but not in non-HCWs (OR: 1.19, 95% CI: 0.94−1.50, p = 0.14). SW was significantly associated with LBP. Furthermore, the subgroup analysis showed that NS, but not RS, was associated with LBP. Compared with SW in non-HCWs, SW in HCWs was significantly associated with LBP.

Video Pivoting Unsupervised Multi-Modal Machine Translation.

The main challenge in the field of unsupervised machine translation (UMT) is to associate source-target sentences in the latent space. As people who speak different languages share biologically similar visual systems, various unsupervised multi-modal machine translation (UMMT) models have been proposed to improve the performances of UMT by employing visual contents in natural images to facilitate alignment. Commonly, relation information is the important semantic in a sentence. Compared with images, videos can better present the interactions between objects and the ways in which an object transforms over time. However, current state-of-the-art methods only explore scene-level or object-level information from images without explicitly modeling objects relation; thus, they are sensitive to spurious correlations, which poses a new challenge for UMMT models. In this paper, we employ a spatial-temporal graph obtained from videos to exploit object interactions in space and time for disambiguation purposes and to promote latent space alignment in UMMT. Our model employs multi-modal back-translation and features pseudo-visual pivoting, in which we learn a shared multilingual visual-semantic embedding space and incorporate visually pivoted captioning as additional weak supervision. Experimental results on the VATEX Translation 2020 and HowToWorld datasets validate the translation capabilities of our model on both sentence-level and word-level and generalizes well when videos are not available during the testing phase.

HIV, chemsex, and the need for harm-reduction interventions to support gay, bisexual, and other men who have sex with men.

Numerous studies have identified an association between the use of drugs in sexual contexts (chemsex) and HIV among gay, bisexual, and other men who have sex with men (GBMSM), although whether a causal relationship exists is contentious. An intricate relationship exists between chemsex, HIV treatment and prevention, harm reduction, and the provision of community-grounded health services. Furthermore, potential harms exist beyond HIV, such as intoxication and overdose. Community-engaged responses to chemsex involve social and cultural strategies of harm reduction and sexual health promotion before, during, and after a chemsex session. Ultimately, this Review calls for actions and collaborations aimed at developing a greater understanding of chemsex as a practice within different GBMSM subpopulations and to develop tailored harm-reduction models that can accommodate GBMSM who engage in chemsex in various ways and with varied effects.

Condomless Anal Sex Associated With Heterogeneous Profiles Of HIV Pre-Exposure Prophylaxis Use and Sexual Activities Among Men Who Have Sex With Men: A Latent Class Analysis Using Sex Diary Data on a Mobile App.

BACKGROUND: New innovative technologies, such as mobile apps, have been developed to increase pre-exposure prophylaxis (PrEP) adherence and the use of log sex diaries. The contiguity of mobile apps reduces the recall bias that generally affects reported condom and PrEP use. However, none of the currently used mobile apps were designed for event-driven PrEP users, and few studies have demonstrated the potential usage of sex diary data to facilitate the understanding of the different HIV risks among heterogeneous profiles of sex diaries and PrEP use. OBJECTIVE: We aim to discriminate the heterogeneous profiles of sex events and PrEP use and examine the risk of condomless anal sex among different types of sex events. METHODS: We recruited 35 adult men who have sex with men from two medical centers in Taiwan since May 2020 and followed up for four months. Participants were on PrEP or willing to take PrEP. They were asked to log their sex events, PrEP use, and dosing regimens on a mobile app to improve their PrEP adherence. Latent class analysis was used to distinguish profiles of sex events and PrEP use. Indicators included correct intake of PrEP for each sex event, participants' sexual positioning, partner's HIV status, and age. RESULTS: A total of 551 sex events were classified into three classes by latent class analysis: PrEP nonadherent flip-flopping (234/551, 42%), PrEP imperfect-adherent power bottoming (284/551, 52%), and PrEP adherent serodiscordant topping (33/551, 6%). "PrEP nonadherent flip-flopping" sex events were more likely to involve condomless anal sex than "PrEP imperfect-adherent power bottoming" (OR 1.83, 95% CI 1.03-3.25) after considering random intercepts for individuals, and this class needed to increase their PrEP adherence and use of condoms. "PrEP imperfect-adherent power bottoming" realized their own risk and packaged PrEP with condoms to protect themselves. Up to 99% (32/33) of sex events in "PrEP adherent serodiscordant topping" were protected by PrEP, but all of the sex events in this group were condomless. CONCLUSIONS: Using the sex diary data could advance the capacity to identify high-risk groups. HIV prevention strategy should be more flexible and combine PrEP with condom use for future HIV prevention.

Evaluation of and the prognostic factors for cats with big kidney-little kidney syndrome.

BACKGROUND: The term big kidney-little kidney syndrome in cats has been used for many years, but the definitions are not consistent and relevant research is limited. OBJECTIVE: To determine the factors that differ between normal and BKLK cats, as well as to develop models for predicting the 30-day survival of cats with ureteral obstruction (UO). ANIMALS: Sixteen healthy cats and 64 cats with BKLK. METHODS: Retrospective study. To define BKLK by reference to data from clinically healthy cats. The demographic and clinicopathological data among groups were statistically analyzed. RESULTS: Big kidney-little kidney syndrome cats had higher blood urea nitrogen (BUN) (median [interquartile range] 69 [28-162] vs 21 [19-24] mg/dL, P < .001), creatinine (5.6 [1.9-13.3] vs 1.3 [1.05-1.40] mg/dL, P < .001), and white blood cells (10 800 [7700-17 500] vs 6500 [4875-9350] /µL, P < .001) and lower hematocrit (32.8 [27.1-38.4] vs 39.1 [38.1-40.4]%, P < .001), urine specific gravity (1.011 [1.009-1.016] vs 1.049 [1.044-1.057], P < .001) and pH (5.88 [5.49-6.44] vs 6.68 [6.00-7.18], P = .001) compared to the control cats. A lower body temperature (BT; 38.1 [37.9-38.2] vs 38.7 [38.3-39.2]°C, P = .009), higher BUN (189 [150-252] vs 91 [36-170] mg/dL, P = .04), and creatinine (15.4 [13.3-17.4] vs 9.0 [3.1-14.2] mg/dL, P = .03) were found among the UO cats that were not 30-day survivors. A combination of BUN, phosphorus, and BT can predict 30-day survival among UO cats with an area under receiver operating characteristic curve of 0.863. (P = .01). CONCLUSION: An increase in the length difference between kidneys can indicate UO, but cannot predict outcome for BKLK cats.

Factors associated with methamphetamine dependency among men who have sex with men engaging in chemsex: Findings from the COMeT study in Taiwan.

BACKGROUND: Sexualized drug use or "chemsex" in Taiwan commonly incorporates the use of methamphetamine. Our study aimed to assess the extent of severity of dependence of methamphetamine among MSM in Taiwan as well as motivations for engagement in chemsex. METHODS: Direct messages were sent to users of a large MSM social networking application in Taiwan between November 2018 and January 2019. MSM who had at least one experience of using drugs during sex in the preceding 12 months were invited to complete an online survey that assessed their sexual behavior, substance use and motivations for engaging in chemsex. The Severity of Dependence Scale was used to assess methamphetamine dependency. Multivariable logistic regression was used to determine the factors associated with methamphetamine dependency. RESULTS: From a total of 1906 responses, 517 had used methamphetamine in their lifetime and were included in the analysis. The majority (87.2%) used more than one substance when engaging in chemsex in the past six months, while a quarter reported injection of methamphetamine within the last six months. The most commonly reported motivations for participants to engage in chemsex were to have fun, for relaxation, and to increase the intensity of the sexual experience. Nearly half (46.0%) exhibited signs of methamphetamine dependency. Lower monthly income, injection of methamphetamine, ever feeling lonely in the past 3 months and concerns about their substance use expressed by others were significantly associated with methamphetamine dependency. CONCLUSION: A high proportion of MSM population who engaged in chemsex were at risk of developing methamphetamine dependency. While motivations for engaging in chemsex were diverse and suggest potential for enhanced sexual experience for some, community health organization for gay men's health and healthcare providers should be vigilant at identifying the risk of methamphetamine dependency and provide in-time, brief intervention or referrals when needed.

Economic, Mental Health, HIV Prevention and HIV Treatment Impacts of COVID-19 and the COVID-19 Response on a Global Sample of Cisgender Gay Men and Other Men Who Have Sex with Men.

There is an urgent need to measure the impacts of COVID-19 among gay men and other men who have sex with men (MSM). We conducted a cross-sectional survey with a global sample of gay men and other MSM (n = 2732) from April 16, 2020 to May 4, 2020, through a social networking app. We characterized the economic, mental health, HIV prevention and HIV treatment impacts of COVID-19 and the COVID-19 response, and examined whether sub-groups of our study population are disproportionately impacted by COVID-19. Many gay men and other MSM not only reported economic and mental health consequences, but also interruptions to HIV prevention and testing, and HIV care and treatment services. These consequences were significantly greater among people living with HIV, racial/ethnic minorities, immigrants, sex workers, and socio-economically disadvantaged groups. These findings highlight the urgent need to mitigate the negative impacts of COVID-19 among gay men and other MSM.

RESUMEN: Existe una necesidad urgente para medir los impactos de COVID-19 entre hombres gay y otros hombres que tienen sexo con hombres (HSH). Hemos conducido una encuesta multifuncional con una prueba mundial de hombres gay y otros HSH (n = 2732) desde el 16 de Abril hasta el 4 de Mayo del 2020, a través de una aplicación de red social. Nosotros caracterizamos los impactos económicos, de salud mental, prevención del VIH y tratamiento del VIH e impactos a COVID-19 y la respuesta de COVID-19, y examinamos si subgrupos de nuestra población de estudio fueron impactados desproporcionadamente por COVID-19. Muchos hombres no tan solo reportaron consecuencias económicas y de salud mental, sino también interrupciones de prevención y de pruebas de VIH, y cuidado del VIH y servicios de tratamiento. Encontramos consecuencias más significantes entre personas viviendo con VIH, grupos raciales/etnicos, migrantes, sexo servidores, y groupos socioeconomicamente disfavorecidos. Los resultados subrayan la necesidad crucial de mitigar los impactos multifacéticos de COVID-19 entre los hombres homosexuales y otros HSH, especialmente para aquellos con vulnerabilidades entrelazadas.

Self-Supervised Deep Correlation Tracking.

The training of a feature extraction network typically requires abundant manually annotated training samples, making this a time-consuming and costly process. Accordingly, we propose an effective self-supervised learning-based tracker in a deep correlation framework (named: self-SDCT). Motivated by the forward-backward tracking consistency of a robust tracker, we propose a multi-cycle consistency loss as self-supervised information for learning feature extraction network from adjacent video frames. At the training stage, we generate pseudo-labels of consecutive video frames by forward-backward prediction under a Siamese correlation tracking framework and utilize the proposed multi-cycle consistency loss to learn a feature extraction network. Furthermore, we propose a similarity dropout strategy to enable some low-quality training sample pairs to be dropped and also adopt a cycle trajectory consistency loss in each sample pair to improve the training loss function. At the tracking stage, we employ the pre-trained feature extraction network to extract features and utilize a Siamese correlation tracking framework to locate the target using forward tracking alone. Extensive experimental results indicate that the proposed self-supervised deep correlation tracker (self-SDCT) achieves competitive tracking performance contrasted to state-of-the-art supervised and unsupervised tracking methods on standard evaluation benchmarks.

Structural Analysis and Optimization of Convolutional Neural Networks with a Small Sample Size.

Deep neural networks have gained immense popularity in the Big Data problem; however, the availability of training samples can be relatively limited in specific application domains, particularly medical imaging, and consequently leading to overfitting problems. This "Small Data" challenge may need a mindset that is entirely different from the existing Big Data paradigm. Here, under the small data scenarios, we examined whether the network structure has a substantial influence on the performance and whether the optimal structure is predominantly determined by sample size or data nature. To this end, we listed all possible combinations of layers given an upper bound of the VC-dimension to study how structural hyperparameters affected the performance. Our results showed that structural optimization improved accuracy by 27.99%, 16.44%, and 13.11% over random selection for a sample size of 100, 500, and 1,000 in the MNIST dataset, respectively, suggesting that the importance of the network structure increases as the sample size becomes smaller. Furthermore, the optimal network structure was mostly determined by the data nature (photographic, calligraphic, or medical images), and less affected by the sample size, suggesting that the optimal network structure is data-driven, not sample size driven. After network structure optimization, the convolutional neural network could achieve 91.13% accuracy with only 500 samples, 93.66% accuracy with only 1000 samples for the MNIST dataset and 94.10% accuracy with only 3300 samples for the Mitosis (microscopic) dataset. These results indicate the primary importance of the network structure and the nature of the data in facing the Small Data challenge.