Objectives We examined how institution-dwelling older adults’ depressive rumination was associated with their life satisfaction by taking perceived burdensomeness as a mediator and social support from individuals within the institution (SSII) as a moderator.Method A total of 194 older adults from 24 institutions in four provinces of China completed a questionnaire survey.Results Depressive rumination was negatively associated with life satisfaction, and perceived burdensomeness mediated this association. Moreover, SSII moderated the indirect association between depressive rumination and life satisfaction through perceived burdensomeness. Specifically, depressive rumination had a negative effect on life satisfaction through perceived burdensomeness only for older adults with less SSII.Conclusion Our study indicated that depressive rumination could damage older adults’ life satisfaction by increasing their perceived burdensomeness. Fortunately, older adults’ perception of social support from individuals within the institution could attenuate this negative effect. Nirmatrelvir price This study has implications for designing intervention programs to improve the institution-dwelling older adults’ life satisfaction.

Despite decreases in overall HIV mortality in the U.S., large racial inequities persist. Most previous analyses of HIV mortality and mortality inequities have utilized national- or state-level data.

Using vital statistics mortality data and American Community Survey population estimates, we calculated HIV mortality rates and BlackWhite HIV mortality rate ratios (RR) for the 30 most populous U.S. cities at two time points, 2010-2014 (T1) and 2015-2019 (T2).

Almost all cities (28) had HIV mortality rates higher than the national rate at both time points. At T2, HIV mortality rates ranged from 0.8 per 100,000 (San Jose, CA) to 15.2 per 100,000 (Baltimore, MD). Across cities, Black people were approximately 2-8 times more likely to die from HIV compared to White people at both time points. Over the decade, these racial disparities decreased at the national level (T1 RR = 11.0, T2 RR = 9.8), and in one city (Charlotte, NC).

We identified large geographic and racial inequities in HIV mortality in U.S. urban areas. These city-specific data may motivate change in cities and can help guide city leaders and other health advocates as they implement, test, and support policies and programming to decrease HIV mortality.

We identified large geographic and racial inequities in HIV mortality in U.S. urban areas. These city-specific data may motivate change in cities and can help guide city leaders and other health advocates as they implement, test, and support policies and programming to decrease HIV mortality.A cross-sectional study on men who have sex with men (MSM) for the HIV prevention project was conducted to assess the prevalence of HIV infection-related behaviors among 551 MSM recruited in 2008-2009 and 1910 MSM in 2014-2018 for voluntary counseling and testing at a HIV clinic in Chiang Mai. Overall, the study found that the prevalence of HIV infection was significantly decreased from 12.9% (71/551) in the earlier study (2008-2009) to 8.2% (157/1910) in the recent study (2014-2018) (p = 0.001). By comparison, in 2008-2009 and 2014-2018, there was no statistically significant difference in consistent condom use (39.0% [186/477] vs. 38.9% [591/1512], p = 0.969), while unprotected anal sex with casual partners significantly increased (44.5% [159/357] vs. 51.9% [645/1242], p = 0.014) and receptive anal sex significantly increased (37.7% [180/477] vs. 45.1% [860/1905], p = 0.004). However, previous HIV testing within 1 year increased significantly from 64.6% (197/305) to 74.7% (677/906, p = 0.001). In exploratory multivariate analysis, the factors associated with HIV infection included gay men, age below 20 years, being self-employed, being an employee, having only receptive anal sex, having both receptive/insertive anal sex, being a former substance user, using online dating, having a history of sexually transmitted infection symptoms, self-perception as being at high risk for HIV, last HIV testing >1 year, and never previously testing for HIV. The data represent the trend of health-seeking behavior improvements. The findings demonstrated the need for a novel sexual health service in an endemic setting and health promotion for online partner-seeking.Objective Aggression with impulsivity and reactivity (AIR) may distinguish a subset of youth from those with attention problems, rule-breaking behavior, or mood disorders, potentially with differential treatment response. Yet, DSM-5 and ICD-10 do not include an AIR diagnosis. Thus, we empirically grouped youths into profiles based on AIR, manic, depressive, rule-breaking, and self-harm behaviors; examined which profiles replicated across three samples; and characterized profile sets on demographic and clinical features.Method After harmonizing data from three samples (n = 679, n = 392, n = 634), Latent Profile Analysis (LPA) assigned youth to profiles based on caregiver-reported measures of AIR, manic, depressive, rule-breaking, and self-harm behaviors. Profiles from each sample were grouped into sets based on profile similarity. Analyses tested differences in diagnoses, sex, and race, age, functioning, and mood severity.Results Eight-profile solutions fit best. Seven profiles replicated across samples high AIR and self-harm, lower depressive and manic scores; high AIR, manic symptoms, and self-harm; high depression symptoms; three smaller sets with high manic and depressive symptoms and moderate AIR; and two high rates of bipolar diagnoses and family bipolar history. Two sets were high on both AIR and mood symptoms, were the most impaired, and had the highest comorbidity.Conclusions Analyses support an empirical definition of AIR, separate from mood disorders. Profile sets distinguished by level of AIR and mood symptoms differed in demographic and diagnostic characteristics as well as functioning. Importantly, a set emerged with high AIR but low mood indicators and with high rates of ADHD and ODD, but not mood disorder.