Distinct differences between COVID-19 vaccine refusers and vaccine hesitant in the United States: Results from a population-based survey and latent class analysis.

Patterns of adverse and positive childhood experiences on prenatal mental health outcomes in Chinese pregnant women: A latent class analysis.

Anatomical location of non-suicidal self-injury: A latent class analysis of functional, cognitive, and behavioural profiles of people who self-injure.

Latent classes of substance use precursors predict positive alcohol and cannabis expectancies one year later in Black and Latino early adolescents in the ABCD study.

Body size, cardiometabolic risk, and educational disparities in mortality among U.S. adults, 1988-2019.

Reimbursement decisions for orphan drugs are complex, as conventional cost-effectiveness frameworks may not fully capture broader societal values. To investigate public preferences regarding the inclusion of rare disease drugs in China's Basic Medical Insurance (BMI) using a multi-center discrete choice experiment. From July to September 2024, a face-to-face, filed-based discrete choice experiment (DCE) was conducted across four regions in China. Using non probability sampling technique which is known as Quota sampling,participants evaluated drug profiles varying in six attributes. Mixed logit model and latent class model were used for analysis. Relative importance, willingness to pay (WTP), scenario analysis and preference heterogeneity were estimated. Of the 761 respondents retained after initial data cleaning, 622 passed the internal consistency check and were included in the final analysis. Most participants were urban residents (62.7%), employed (66.6%), and covered by urban and rural resident basic medical insurance (BMI) (57.7%). The general public preferred including orphan drugs in BMI coverage when treatments provided greater health gains, targeted diseases with moderate untreated life expectancy, and lacked existing reimbursed alternatives. In contrast, poorer untreated quality of life and larger increases in BMI financing reduced utility. Health gains were the most important, followed by increases in BMI financing, untreated quality of life, existing BMI coverage, and untreated life expectancy. Annual WTP was ¥1.225 per capita for quality-adjusted life years (QALY) gains (0.01-4), with lower WTP observed among respondents facing poorer untreated quality of life. Scenario analysis showed that 78.5% would support reimbursement for drugs providing maximal health gains (0.01-4). Preference heterogeneity was observed across age, sex, education, household income, insurance type, and urban-rural residence. Latent class analysis identified two subgroups. The "life-saving group" (23%) showed strong preferences for greater disease severity and larger health gains, whereas the "pragmatist group" (77%) demonstrated relatively flatter preferences and negative utility associated with declining untreated life expectancy. While health gains drive preferences, the public also values equity, disease severity and affordability. Policymakers must integrate these multidimensional social values to ensure legitimacy and fairness in allocating finite resources for rare diseases. Members of the public were involved in the development of the DCE. In the attribute development phase, members of the public participated in a pilot study to help ensure the clarity and comprehensibility of attribute descriptions and levels. And their feedback informed revisions to the questionnaire. In the main study, members of the public participated as respondents, providing data on societal preferences for orphan drug reimbursement.

The social stratification of slumber: Disentangling the intersectional effects of heterogeneous adverse childhood experiences on sleep deprivation in US children and adolescents.

Adversity among youth experiencing homelessness: A latent class analysis.

Patterns of contextually sensitive adverse childhood experiences and associations with adult mental health outcomes in a longitudinal South African community sample: a latent class analysis.

Heterogeneity and clinician typologies in menopause management: Insights from a European survey and latent class analysis.

Work preferences and well-being in emerging economies: A latent class analysis of employment patterns and leadership.

Are there distinct symptom clusters in women with endometriosis and adenomyosis, and how do these clusters predict quality of life? Latent class analyses of 22438 women with endometriosis identified four symptom phenotypes, including high pain-gastrointestinal and psychological-neurological clusters; adenomyosis cases were concentrated in high‑pain classes without a minimal‑symptom group, and high‑burden phenotypes had poorer quality of life. Endometriosis and adenomyosis are heterogeneous conditions with diagnostic delays of 4-11 years. The classification based on surgical findings and imaging fails to capture the complex, systemic symptom combinations that affect patients' quality of life (QoL). Large-scale cross-sectional cohort study using data from the United States-based All of Us Research Program (Controlled Tier v8; May 2018-October 2023). The dataset included 22438 women with electronic health records (EHR) and/or self-reported endometriosis. Four Latent Class Analyses (LCA) were performed on different patient groups: (i) the full endometriosis cohort (n = 22 438); (ii) an age-corrected subset restricted to premenopausal women (aged 18-45; n = 5542) to minimize menopausal confounding; and two subgroups derived from the age-corrected cohort to test whether concomitant adenomyosis defines distinct symptomatic phenotypes: (iii) clinically confirmed endometriosis without adenomyosis (n = 1797) and (iv) adenomyosis with endometriosis (n = 643). LCA was performed using 19 self-reported and EHR-derived symptoms and comorbidities (e.g. chronic pelvic pain, migraine, depression, gastrointestinal symptoms) to identify patient subgroups. Multinomial logistic regression assessed sociodemographic (age, BMI, deprivation index) and clinical predictors (hormonal contraceptive use, surgical history) of class membership. The association between latent classes and QoL outcomes was evaluated using data from the 'Overall Health' and 'Health Care Access and Utilization' surveys. Data are available via the All of Us Researcher Workbench (https://workbench.allofus.org). Latent class analysis of clinically confirmed endometriosis identified four distinct symptom phenotypes, most notably a severe 'High Pain & Gastrointestinal with Mood Symptoms' (High) cluster and a unique 'Predominantly Psychological/Neurological' cluster that challenges traditional gynecological-focused diagnostic frameworks. Patients with adenomyosis exhibited a distinct profile with two high-pain symptom classes and the absence of a fully asymptomatic group, indicating a higher overall disease burden. Membership in the High class was significantly associated with lower general health scores, reduced social satisfaction, and increased barriers to healthcare access. The All of Us is a United States-based research program, and the findings should be replicated in other independent cohorts to confirm generalizability across other geographical regions. The cross-sectional design limits causal inference regarding QoL outcomes. Also, the analyses rely on a mix of diagnostic approaches, including surgical and non-surgical clinical and self-reported diagnoses, which is both a strength and a limitation. The 'Minimal Symptom Burden' class may reflect under-documentation of symptoms in clinical records rather than a true lack of symptoms, and the High class may reflect to patients who have higher multimorbidity, hence have more hospital visits. These results support a shift toward personalized, interdisciplinary management of endometriosis that addresses mental health and gastrointestinal symptoms alongside pelvic pain. The identification of a 'Predominantly Psychological/Neurological' cluster suggests that young women presenting with non-classical symptoms (anxiety, migraine, depression) could be screened for endometriosis to reduce diagnostic delays and improve life-course potential. D.K. was supported by a 'Ramón y Cajal' fellowship from the Spanish Ministry of Science and Innovation (RYC2024-050099-I). O.G. was supported by a postdoctoral award from the Amy P Goldman Foundation. I.F. is the co-founder and co-owner of Sur180 Therapeutics, which is developing a novel treatment for endometriosis, and the Chief Scientific Officer of Nura Health, which is developing a non-invasive diagnostic solution for the disease. I.F. has received ARPA-H grant no. ARPA-H-ICHUB-24-101-1035 as Principal Investigator, consulting fees from Nura Health and Sur180 Therapeutics, and stock and share options in both companies. I.F. is also the inventor on patents for 'Compositions and methods for treating endometriosis' (US10695341 and US10729693) and serves as an unpaid Board Member of the World Endometriosis Society and the Fundación Puertorriqueña de Pacientes con Endometriosis (ENDOPR). H.S.T. received speaker fees from Gedeon Richter, a grant from AbbVie through Yale University, consulting fees from Regeneron, and is a co-inventor on Yale's endometriosis biomarkers and treatments (including US11993816B2, US10982282B2, and US12286629B2). He also serves on the boards of the Environmental Health Trust and Environment and Human Health. N/A.

Latent classes of students' ICT engagement behaviors: Predictive role of psychological factors based on PISA 2022 data.

The current study aimed to investigate the mediating mechanisms linking adverse childhood experiences (ACEs) to anorexia nervosa (AN) and to examine whether distinct patterns of ACE exposure are associated with differential risks and mediation pathways. Data for 9746 female individuals were collected from nationally representative Japanese surveys. ACEs were assessed using a 15-item Japanese ACE questionnaire, and AN was identified via self-reported physician diagnosis. Causal mediation analysis and structural equation modelling were used to examine indirect pathways, while latent class analysis (LCA) was used to identify ACE patterns. Greater ACE exposure was significantly associated with a higher AN prevalence. In mediation analyses, loneliness, psychological distress, and brooding rumination were the most influential mediators, forming a latent "negative affectivity" factor that significantly mediated ACEs and AN. The LCA identified four ACE profiles: "low adversities", "psychological abuse", "poverty", and "multiple adversities". Relative to the "low adversities" group, other classes showed higher AN prevalence, although class differences in prevalence and mediators were modest. We demonstrated that the number of ACEs, rather than their patterns, increases AN risk. Negative affectivity was a consistent strong mediator across ACE patterns; thus, it can be an important target for intervention in trauma-exposed individuals with AN.

Associations between adverse childhood experiences and eating disorder psychopathology and intuitive eating in Chinese adult men and women: Variable-centered and person-centered approaches.

The influence of infant temperament and family rearing environment on feeding practices in low-birth-weight infants discharged from the NICU during 6-12months of age: A longitudinal study.

Smartphone function preference patterns and cognitive function in middle-aged and older Chinese adults: A cluster analysis study.

Employment trajectories of individuals with intellectual and developmental disabilities: A 7-year longitudinal study.

Co-occurring trajectories of auditory, cognitive, and physical decline in older adults: A longitudinal latent class analysis.

Preferences for palliative care services for patients with advanced cancer from the demand-supply perspective: A multicenter discrete choice experiment.