Growth Trajectories of Peer Norms, Self-efficacy and Condom Use Behavior Among Sexually Active Chinese Men Who Have Sex with Men: Latent Class Analysis and Growth Mixture Modeling

Identifying longitudinal patterns of CPAP treatment in OSA using growth mixture modeling: Disease characteristics and psychological determinants

In this study, we aim to identify the distinct subtypes of continuous positive airway pressure (CPAP) user profiles based on the telemedicine management platform and to determine clinical and psychological predictors of various patterns of adherence. A total of 301 patients used auto-CPAP (Autoset 10, Resmed Inc.) during the treatment period. Four categories of potential predictors for CPAP adherence were examined: (1) demographic and clinical characteristics, (2) disease severity and comorbidities, (3) sleep-related health issues, and (4) psychological evaluation. Then, growth mixture modeling was conducted using Mplus 8.0 to identify the unique trajectories of adherence over time. Adherence data were collected from the telemedicine management platform (Airview, Resmed Inc.) during the treatment. Three novel subgroups were identified and labeled “adherers” (53.8% of samples, intercept = 385, slope = −51, high mean value, negative slope and moderate decline), “Improvers” (18.6%, intercept = 256, slope = 50, moderate mean value, positive slope and moderate growth) and “non-adherers” (27.6%, intercept = 176, slope = −31, low mean value, negative slope and slight decline). The comorbidities associated with OSA and the apnea–hypopnea index (AHI), which reflects the objective severity of the disease, did not differ significantly among the subgroups. However, “improvers” showed higher levels of daytime sleepiness (8.1 ± 6.0 vs. 12.1 ± 7.0 vs. 8.0 ± 6.1 in SWIFT, p = 0.01), reduced daytime function (4.6 ± 1.6 vs. 3.8 ± 1.6 vs. 4.2 ± 1.8 in QSQ daytime symptoms, p = 0.02), and characteristics of positive coping style (1.8 ± 0.5 vs. 1.9 ± 0.5 vs. 1.7 ± 0.5 in SCSQ positive coping index, p = 0.02). Negative emotion was more pronounced in patients with “non-adherers” (12.9 ± 3.8 vs. 13.7 ± 3.3 vs. 14.6 ± 3.5, p = 0.02 in the HADS depression dimension; 9.0 ± 6.1 vs. 9.8 ± 5.1 vs. 11.5 ± 6.3, p = 0.01 with Negative Affectivity in DS14, and 9.3 ± 6.1 vs. 10.3 ± 5.1 vs. 11.7 ± 6.5, p = 0.01 with Social Inhibition in DS14). Overall, our study demonstrated that CPAP therapy may present distinct trajectories of adherence over time in addition to the traditional binary classification. Self-reported sleep health issues (diurnal sleepiness and daytime dysfunction) as well as psychological characteristics (negative emotions and coping style) were predictors of different adherence subtypes in patients with OSA. Understanding CPAP use profiles and their predictors enable the identification of those who may require additional intervention to improve adherence and further enhance the therapeutic effect in OSA patients.

Identity and Relational Factors Associated with Sexual Role and Positioning for Anal Sex among Colombian Sexual Minority Men

This study aimed to identify Top, Bottom, and Versatile sexual role identities and anal sex behavior profiles using latent class analysis in a sample of 942 sexual minority men living in Bogotá. A Versatile-insertive and receptive class (52.2%) was the most prevalent of the four resulting classes, whereas the least common was a class (1.7%) that did not use labels and had a low probability of anal sex. We examined whether identity and relational factors (i.e., sexual orientation, LGBT collective identity, and partner type) were associated with profiles. Gay identity was associated with versatile and receptive classes and bisexual identity was associated with insertive and versatile classes. LGBT collective identity was associated with the class characterized by Bottom identity and receptive positioning. Partner type was not associated with class membership, but versatile behaviors were more common among encounters with a main partner. Models using data at different timescales offered consistent patterns of behavior between the last encounter and the past three months, though the versatile class in the three-month model split into two classes based on frequency of versatile positioning. Findings highlight the relationship between sexual identity and positioning and can inform interventions for sexual health education and identity development.