Practitioner's Guide to Latent Class Analysis: Methodological Considerations and Common Pitfalls

Using latent class analysis to operationalize a wholistic assessment of Inuit health and well-being

Many indigenous cultures conceptualize health wholistically, whereby physical, mental, spiritual and relational dimensions of health are interconnected. Yet, quantitative approaches to studying Indigenous health remain anchored in western perspectives, that separate the dimensions of health. This paper aims to operationalize a wholistic indicator of health based on the IQI model of Inuit health. Variables from the 2017 Nunavik Health Survey (N = 1196) were selected based on their representativeness of IQI model. Exploratory Latent Class Analysis (LCA) was used to identify wholistic health profiles. Once participants assigned to their health profile, sociodemographic characteristics were compared across profiles, and multinomial regression models were used to examine the relationship between community-level social determinants of health and the profiles. The LCA revealed three health profiles, labelled as "excellent", "good" and "fair" based on the distribution of answers to the indicators. Nunavimmiut in "excellent" and "good" health were more likely to: rate their health positively; be over 30 years old; be in a relationship; and have participated or volunteered in community events. Nunavimmiut in "fair" health tended to report lower levels of community cohesion, family relationships, and emotional support. Intergrating culturally relevant models of health can support improved health status assessments and identify opportunities for health promotion.

Patterns of adverse childhood experiences and associations with lower mental well-being among university students

BACKGROUND

University students report high levels of adverse childhood experiences (ACEs), which can lead to severe mental health problems. Understanding how ACEs impact well-being in this population is essential, yet research to date is limited.

OBJECTIVE

To explore ACE patterns and their association with lower well-being in university students.

PARTICIPANTS AND SETTING

1023 Spanish students (71.6 % female) aged between 18 and 64 years old (M = 20.10, SD = 3.93) completed a self-report questionnaire.

METHODS

This study used a cross-sectional design. The ACE International Questionnaire (ACE-IQ) and the Short Warwick-Edinburgh Mental Well-being Scale were used to assess, respectively, childhood adversities and mental well-being. Latent Class Analysis and regression modeling were conducted to analyze the link between ACEs and lower mental well-being, considering the covariates of age, country of origin, sexual orientation, and mental illness.

RESULTS

Four ACE classes were identified: Low ACEs (49.5 %), Dysfunctional Household (12.3 %), Household and Peer Abuse (31.0 %), and High ACEs (7.2 %). The regression analysis (F(3, 1007) = 19.2, p < .001, R2adj = 0.054) successfully predicted well-being scores based on ACE classes. When compared with the Low ACE class, all other classes exhibited lower levels of well-being. Age, sexual orientation, and mental illness were also related to lower well-being, with mental illness having the strongest negative effect (β = -0.635, t(1015) = -6.49, p < .001).

CONCLUSIONS

These findings underscore the relationship between childhood adversity and mental health, offering insights for future prevention efforts and enriching our understanding of ACEs and their impact on well-being.

Do Patterns of Adolescent Participation in Arts, Culture and Entertainment Activities Predict Later Wellbeing? A Latent Class Analysis

Participation in arts, culture, and entertainment (PACE) activities may promote adolescent wellbeing. However, little is known about how such activities cluster together, and previous research has used small samples, cross-sectional designs, focused on single activities, and/or has not considered the influence of socio-demographic factors on participation. Using latent class analysis, the aims of this study were to establish: (i) classes of adolescent PACE activities; (ii) associations between socio-demographic characteristics and PACE classification; and, (iii) whether PACE classification predicts later wellbeing. Longitudinal data from the #BeeWell study (N = 18,224 adolescents; mean age at T1 = 12 years 7 months (±3.56 months); 50.54% female) were analyzed. Four latent classes were established: the 'Dynamic Doers' (high, wide-ranging participation; 11.87%); the 'Mind and Body Crew' (reading, arts, videogames, sports/exercise; 39.81%); the 'Game and Gain Squad' (videogames and sports/exercise; 29.05%); and the 'Activity Free Adolescents' (uniformly low participation; 19.27%). Associations between socio-demographic characteristics and PACE classification were observed (e.g., socio-economic disadvantage increased the likelihood of Activity Free Adolescents classification, compared to Game and Gain Squad classification). Finally, PACE classification predicted later wellbeing (e.g., Dynamic Doers reported significantly higher wellbeing than Activity Free Adolescents). These findings are discussed in relation to the need to improve accessibility and appeal of arts, culture, and entertainment provision for adolescents as a means to optimize their wellbeing. PRE-REGISTRATION: The analysis plan for this study was pre-registered on the Open Science Framework and can be found here: https://osf.io/2jtpd.

Patient characteristics associated with posttraumatic stress symptoms in intensive care unit survivors during a one-year follow-up: A multicenter study

BACKGROUND

Intensive care unit (ICU) patients are at risk of suffering from posttraumatic stress symptoms (PTSS) after ICU survival.

OBJECTIVES

To describe the prevalence of high levels of PTSS the first year after ICU admission. Further, to identify specific combinations of patient characteristics (latent classes based on pre-ICU data, demographics, and clinical characteristics), and to investigate possible associations among these classes and PTSS at 3, 6, and 12 months after ICU admission.

METHODS

Self-reported PTSS were measured with Impact of Event Scale-Revised (IES-R). PTSS and possible predictive factors (pre-ICU data, demographics, and clinical characteristics) were analyzed using descriptive statistics, latent class analysis, and linear mixed model for repeated measures.

RESULTS

High PTSS levels (IES-R ≥ 33) were reported by 14.9 % (95 % confidence interval [CI] [10.0; 21.1]), 16.7 % (95 % CI [11.5; 23.1]), and 18.4 % (95 % CI [12.9; 25.0]) of patients (sample 1, n = 174) at 3, 6, and 12 months, respectively. Three latent classes were identified (sample 2, n = 417). PTSS were significantly associated with class 2 (male with longer hospital stay) at 6 months and class 3 (age≥70, lower level of education, higher Simplified Acute Physiology Score, being mechanically ventilated) at all three measurement times.

CONCLUSIONS

The prevalence of high levels of PTSS is the greatest 12 months after ICU admission. Health professionals can use this information to be aware of specific groups of ICU patients reporting PTSS during the first year and follow up on these.

Trajectories of cognitive function among people aged 45 years and older living with diabetes in China: Results from a nationally representative longitudinal study (2011~2018)

OBJECTIVES

Diabetes is associated with decline of cognitive function. Exploring different trajectories of cognitive function occurring in people with diabetes is important to improved prognosis. This study aimed to investigate differential patterns of trajectories of cognitive function and baseline determinants of trajectory group membership utilizing data from middle-aged and older Chinese adults with diabetes.

METHODS

Participants of the Chinese Health And Retirement Longitudinal Study (CHARLS) aged 45 years and above received biennial assessments between 2011 and 2018. The primary outcome was overall cognitive function score operationalized as sum of mental intactness and episodic memory scores derived from the Telephone Interview of Cognitive Status (TICS). A weighted growth mixture model was used to estimate cognitive function trajectories of CHARLS participants with diabetes, and baseline factors associated with trajectory group membership were investigated with weighted multinomial logistic regression.

RESULTS

Data from 1,463 participants with diabetes aged 45 years and above were analyzed, a three-group trajectory model showed the best fit for overall cognitive scores: low baseline, linear declining (22.1%); moderate baseline, linear declining (37.5%) and high-stable (40.3%). Older participants, females, participants with low education, with nighttime sleep <6 h, without daytime napping habits, and with depressive symptoms were at a higher risk of unfavorable cognitive function trajectories.

CONCLUSIONS

We identified heterogeneous trajectories of cognitive function among middle-aged and older people living with diabetes in China. Socially vulnerable groups including females, rural residents, and those with low education were at a higher risk for unfavorable trajectories. In health programs aimed at preventing and mitigating cognitive decline in individuals with diabetes more attention should be given to vulnerable groups. Reduced nighttime sleep, lack of daytime napping, and depressive symptoms appear to be modifiable risk factors.

Association between modifiable lifestyle pattern and periodontitis: a cross-sectional study based on NHANES

BACKGROUND

Periodontitis can be avoided with a healthy lifestyle. However, studies have only looked at one lifestyle, ignoring the connection between lifestyle patterns and periodontitis. The purpose of this study was to look at the association between modifiable lifestyle patterns and periodontitis.

METHODS

Data were obtained from the National Health and Nutrition Examination Survey in 2009-2010 and 2011-2012. Smoke, drink, exercise, sleep duration, oral exams, and self-rated oral health were all lifestyle factors. The CDC/AAP classification/case definition was used to evaluate periodontitis. Drawing upon latent class analysis, distinct patterns of lifestyle were identified, with each participant exclusively affiliated with a single pattern. The association between lifestyle classes and periodontitis was then examined using ordinal logistic regression.

RESULTS

4686 (52%) of the total 9034 participants, with a mean age of 54.08, were women. Three lifestyle latent classes were found by fitting 2-10 models: "Class 1" (52%), " Class 2" (13%), and " Class 3" (35%). The "Class 1" displayed a prevalence of oral examination (75%), favorable self-rated oral health (92%), and engagement in physical activity (50%). The 'Class 2' exhibited the lowest alcohol consumption (64%) and smoking rates (73%) but the highest prevalence of physical inactivity (98%). The 'Class 3' showed a tendency for smoking (72%), alcohol consumption (78%), shorter sleep duration (50%), absence of oral examinations (75%), and suboptimal self-rated oral health (68%). The influencing variables for the latent classes of lifestyle were age, education, and poverty level. Periodontitis risk may rise by 24% for each additional unhealthy lifestyle practiced by participants (OR = 1.24, 95% CI: 1.18-1.31). The 'Class 3' (OR = 1.80, 95% CI: 1.52-2.13) had a greater risk of periodontitis compared to the 'Class 1'.

CONCLUSIONS

Our analysis revealed that unhealthy lifestyle patterns are associated with periodontitis. These different lifestyle patterns need to be taken into account when developing public health interventions and clinical care.

Sepsis in surgical patients: Personalized medicine in the future treatment of sepsis

Sepsis results when a severe infection overwhelms the normal regulatory mechanisms of the immune system, resulting in a dysregulated host response characterized by new-onset organ failure. A wide range of infectious challenges can induce sepsis, resulting in an even wider range of maladaptive immune responses. This makes sepsis a syndromic diagnosis without a unifying, underlying molecular mechanism. The next step toward personalized medicine for sepsis is to resolve the heterogeneity across the universe of septic patients in order to establish pathobiologically homogenous sepsis "endotypes" that have uniformly defined changes in physiology and immunology. Defining the mechanisms of immune dysfunction within these endotypes will provide a roadmap for the application of immunomodulatory therapies for sepsis. This approach can drive in a paradigm shift in sepsis treatment, moving beyond supportive care and toward active efforts to restore normal immune function.

Data-driven identification of distinct pain drawing patterns and their association with clinical and psychological factors: a study of 21,123 patients with spinal pain

ABSTRACT

The variability in pain drawing styles and analysis methods has raised concerns about the reliability of pain drawings as a screening tool for nonpain symptoms. In this study, a data-driven approach to pain drawing analysis has been used to enhance the reliability. The aim was to identify distinct clusters of pain patterns by using latent class analysis (LCA) on 46 predefined anatomical areas of a freehand digital pain drawing. Clusters were described in the clinical domains of activity limitation, pain intensity, and psychological factors. A total of 21,123 individuals were included from 2 subgroups by primary pain complaint (low back pain (LBP) [n = 15,465]) or midback/neck pain (MBPNP) [n = 5658]). Five clusters were identified for the LBP subgroup: LBP and radiating pain (19.9%), radiating pain (25.8%), local LBP (24.8%), LBP and whole leg pain (18.7%), and widespread pain (10.8%). Four clusters were identified for the MBPNP subgroup: MBPNP bilateral posterior (19.9%), MBPNP unilateral posterior + anterior (23.6%), MBPNP unilateral posterior (45.4%), and widespread pain (11.1%). The clusters derived by LCA corresponded to common, specific, and recognizable clinical presentations. Statistically significant differences were found between these clusters in every self-reported health domain. Similarly, for both LBP and MBPNP, pain drawings involving more extensive pain areas were associated with higher activity limitation, more intense pain, and more psychological distress. This study presents a versatile data-driven approach for analyzing pain drawings to assist in managing spinal pain.

Causes and attributable fraction of death from ARDS in inflammatory phenotypes of sepsis

BACKGROUND

Hypoinflammatory and hyperinflammatory phenotypes have been identified in both Acute Respiratory Distress Syndrome (ARDS) and sepsis. Attributable mortality of ARDS in each phenotype of sepsis is yet to be determined. We aimed to estimate the population attributable fraction of death from ARDS (PAFARDS) in hypoinflammatory and hyperinflammatory sepsis, and to determine the primary cause of death within each phenotype.

METHODS

We studied 1737 patients with sepsis from two prospective cohorts. Patients were previously assigned to the hyperinflammatory or hypoinflammatory phenotype using latent class analysis. The PAFARDS in patients with sepsis was estimated separately in the hypo and hyperinflammatory phenotypes. Organ dysfunction, severe comorbidities, and withdrawal of life support were abstracted from the medical record in a subset of patients from the EARLI cohort who died (n = 130/179). Primary cause of death was defined as the organ system that most directly contributed to death or withdrawal of life support.

RESULTS

The PAFARDS was 19% (95%CI 10,28%) in hypoinflammatory sepsis and, 14% (95%CI 6,20%) in hyperinflammatory sepsis. Cause of death differed between the two phenotypes (p < 0.001). Respiratory failure was the most common cause of death in hypoinflammatory sepsis, whereas circulatory shock was the most common cause in hyperinflammatory sepsis. Death with severe underlying comorbidities was more frequent in hypoinflammatory sepsis (81% vs. 67%, p = 0.004).

CONCLUSIONS

The PAFARDS is modest in both phenotypes whereas primary cause of death among patients with sepsis differed substantially by phenotype. This study identifies challenges in powering future clinical trials to detect changes in mortality outcomes among patients with sepsis and ARDS.

Inflammatory subphenotypes previously identified in ARDS are associated with mortality at intensive care unit discharge: a secondary analysis of a prospective observational study

BACKGROUND

Intensive care unit (ICU)-survivors have an increased risk of mortality after discharge compared to the general population. On ICU admission subphenotypes based on the plasma biomarker levels of interleukin-8, protein C and bicarbonate have been identified in patients admitted with acute respiratory distress syndrome (ARDS) that are prognostic of outcome and predictive of treatment response. We hypothesized that if these inflammatory subphenotypes previously identified among ARDS patients are assigned at ICU discharge in a more general critically ill population, they are associated with short- and long-term outcome.

METHODS

A secondary analysis of a prospective observational cohort study conducted in two Dutch ICUs between 2011 and 2014 was performed. All patients discharged alive from the ICU were at ICU discharge adjudicated to the previously identified inflammatory subphenotypes applying a validated parsimonious model using variables measured median 10.6 h [IQR, 8.0-31.4] prior to ICU discharge. Subphenotype distribution at ICU discharge, clinical characteristics and outcomes were analyzed. As a sensitivity analysis, a latent class analysis (LCA) was executed for subphenotype identification based on plasma protein biomarkers at ICU discharge reflective of coagulation activation, endothelial cell activation and inflammation. Concordance between the subphenotyping strategies was studied.

RESULTS

Of the 8332 patients included in the original cohort, 1483 ICU-survivors had plasma biomarkers available and could be assigned to the inflammatory subphenotypes. At ICU discharge 6% (n = 86) was assigned to the hyperinflammatory and 94% (n = 1397) to the hypoinflammatory subphenotype. Patients assigned to the hyperinflammatory subphenotype were discharged with signs of more severe organ dysfunction (SOFA scores 7 [IQR 5-9] vs. 4 [IQR 2-6], p < 0.001). Mortality was higher in patients assigned to the hyperinflammatory subphenotype (30-day mortality 21% vs. 11%, p = 0.005; one-year mortality 48% vs. 28%, p < 0.001). LCA deemed 2 subphenotypes most suitable. ICU-survivors from class 1 had significantly higher mortality compared to class 2. Patients belonging to the hyperinflammatory subphenotype were mainly in class 1.

CONCLUSIONS

Patients assigned to the hyperinflammatory subphenotype at ICU discharge showed significantly stronger anomalies in coagulation activation, endothelial cell activation and inflammation pathways implicated in the pathogenesis of critical disease and increased mortality until one-year follow up.

Evaluation of social inclusion in Brazilian adult women with epilepsy: Perception of stigma and quality of life

Epilepsy is a chronic disease characterized by recurrent epileptic seizures that can affect the perception of stigma and compromise the quality of life of those living with it. In addition, sociodemographic factors such as employment and maintaining a job, education, and the autonomy to drive vehicles are often impaired.

OBJECTIVE

To assess the social inclusion of adult women with epilepsy in relation to the perception of stigma and quality of life, and the clinical aspects of the disease.

METHODOLOGY

Data from 70 adult Brazilian women with epilepsy regarding aspects related to their social inclusion were verified. Such data were linked to clinical aspects and scores from the questionnaires: Quality of Life in Epilepsy Inventory 31 (QOLIE-31) and the Epilepsy Stigma Scale (ESS), with a significance level of p < 0.05.

RESULTS

Average age of 45.5 years, 40 (57.1 %) women were divorced/single/widowed, 31 (44.3 %) women had less than 10 years of formal education, 32 (45.7 %) women had no income, and 57 (81.4 %) did not have a driver's license. The age at the time of the first seizure was 18 years, the seizures were focal in 46 (65.7 %) cases, and 26 (37.1 %) cases were seizure-free in the last year. A high number of women reported that the diagnosis of epilepsy negatively influenced aspects of autonomy such as the possession of a driver's license and going out alone. Longer duration of epilepsy was associated with lower education, not having children, and lower scores on the QOLIE-31. Higher scores on the QOLIE-31 were correlated with lower frequency of seizures and with the age at the time of the first seizure. Values in the dimension - energy and fatigue of the QOLIE-31 were significantly lower in the group with less independence compared to the other two groups with more independence, in latent class analyses (ANOVA, adjusted for age 42.1 ± 35.6 vs 57.2 ± 28.4 vs 73.9 ± 23.8, p = 0.0295).

DISCUSSION

Clinical aspects of epilepsy and having a partner, autonomy, and independence such as driving vehicles are factors that contribute to social inclusion and to the perception of a better quality of life for adult women with epilepsy.

CONCLUSION

It was observed that having a partner, autonomy, and independence such as driving vehicles are factors that contribute to social inclusion and to the perception of a better quality of life for adult women with epilepsy.

Latent class analysis of emergency department patients engaged in telehealth peer recovery support services and associations of identified classes with post-discharge outcomes

BACKGROUND

People with substance use disorders (SUDs) frequently use emergency department (ED) services. Despite evidence demonstrating that post-discharge SUD treatment linkage effectively reduces the number of ED re-presentations, relatively few hospitals have implemented interventions to identify and connect patients with SUDs to appropriate care. ED-based peer recovery support specialist (PRSS) interventions have emerged as a promising approach for hospitals, but more research is needed to understand the extent to which these interventions meet the needs of patients who present to the ED for different reasons and with various underlying concerns.

METHOD

A retrospective cohort analysis used data from a telehealth PRSS program in 15 EDs within one Indiana hospital system. The study included 2950 ED patients who engaged with telehealth PRSS services between September 2018 and September 2021. Latent class analysis identified patterns of patient characteristics associated with post-discharge PRSS engagement and ED re-presentations. Covariate predictors and distal outcomes were assessed to examine the associations between class membership, demographic factors, and patient outcomes.

RESULTS

The study team selected a six-class model as the best fit for the data. Class 1, representing patients with opioid use disorder and mental health diagnoses who presented to the ED for an opioid overdose, was used as the reference class for all other statistical tests. Multinomial logistic regression analysis demonstrated significant associations between covariate predictors, outcomes, and class membership. Regression results also demonstrate PRSSs had greater success contacting patients with prior year ED use and patients with a successful post-discharge PRSS contact were less likely to re-present to the ED.

CONCLUSION

Results highlight the heterogeneity of patients with SUDs and emphasize the need for tailored interventions to address patient-specific needs more effectively. They also provide support for the perceived utility of PRSS engagement for ED patients.

Latent classes of alcohol and cannabis use among adults with binge-spectrum eating disorders: Associations with eating disorder symptom severity and personality features

OBJECTIVE

Alcohol and cannabis use are prevalent among individuals with binge-spectrum eating disorders (B-ED) and vary in terms of frequency and associated problems. The current study aimed to identify latent classes of alcohol and cannabis use patterns among B-ED and examine associations between latent classes and demographic characteristics, eating disorder symptoms, and personality features.

METHODS

Participants (N = 236) were treatment-seeking adults with B-ED who completed a clinical interview of eating pathology and self-report measures of alcohol and cannabis use in the past 3 months, alcohol and cannabis-related problems, and personality features (i.e., impulsivity, affect lability).

RESULTS

Latent class analysis identified three heterogeneous classes, labelled as (a) Low Alcohol, (b) Moderate Drinking and Problems with Occasional Cannabis Use, and (c) No Alcohol and Cannabis Use. Latent classes significantly differed in terms of substance use engagement and problems, demographic characteristics, dietary restraint, impulsive personality features, and affect lability.

CONCLUSIONS

Study findings support heterogeneity in alcohol and cannabis use among B-ED and suggest patient characteristics and clinical severity associated with specific substance use presentations. Future research should replicate results using larger, diverse samples engaging in a broader range of alcohol and cannabis use symptoms.

Latent class analysis of chest CT abnormalities to define subphenotypes in patients with MPO-ANCA-positive microscopic polyangiitis

BACKGROUND

Patients with microscopic polyangiitis (MPA) and positive myeloperoxidase antineutrophil cytoplasmic antibody (MPO-ANCA) may present with various abnormalities in chest computed tomography (CT). This study aimed to identify subphenotypes using latent class analysis (LCA) and to explore the relationship between the subphenotypes and clinical patterns, as well as compare the clinical characteristics of these subphenotypes in patients with MPO-ANCA-positive MPA (MPO-MPA).

METHODS

The study identified subphenotypes using LCA based on chest CT findings in 178 patients with MPO-MPA and pulmonary involvement from June 2014 to August 2022.

RESULTS

LCA identified 27 participants (15.2%) in class 1, 43 (24.1%) in class 2, 35 (19.7%) in class 3, and 73 (41.0%) in class 4. Class 1 was characterized by prominent inflammatory exudation, class 2 by fibrosis and architectural distortion, class 3 by predominantly bronchiectasis, and class 4 by lesions mixed with inflammation and fibrosis. Class 1 had the highest level of extrapulmonary disease activity, with 77.8% of patients experiencing diffuse alveolar hemorrhage. Class 2 had the lowest level of extrapulmonary disease activity, with 41.9% of patients showing usual interstitial pneumonia. Class 3 patients were more likely to have complications involving the ear, nose, and throat, as well as pulmonary infections before treatment, and they exhibited the best outcomes. The characteristics and outcomes of class 4 were intermediate among the four classes.

CONCLUSIONS

These findings suggest that bronchiectasis may represent a unique pattern of pulmonary involvement in MPO-MPA, highlighting the importance of screening for bronchiectasis in MPO-MPA and identifying optimal management strategies.

Derivation and Validation of Generalized Sepsis-induced Acute Respiratory Failure Phenotypes Among Critically Ill Patients: A Retrospective Study

Background

Septic patients who develop acute respiratory failure (ARF) requiring mechanical ventilation represent a heterogenous subgroup of critically ill patients with widely variable clinical characteristics. Identifying distinct phenotypes of these patients may reveal insights about the broader heterogeneity in the clinical course of sepsis. We aimed to derive novel phenotypes of sepsis-induced ARF using observational clinical data and investigate their generalizability across multi-ICU specialties, considering multi-organ dynamics.

Methods

We performed a multi-center retrospective study of ICU patients with sepsis who required mechanical ventilation for ≥24 hours. Data from two different high-volume academic hospital systems were used as a derivation set with N=3,225 medical ICU (MICU) patients and a validation set with N=848 MICU patients. For the multi-ICU validation, we utilized retrospective data from two surgical ICUs at the same hospitals (N=1,577). Clinical data from 24 hours preceding intubation was used to derive distinct phenotypes using an explainable machine learning-based clustering model interpreted by clinical experts.

Results

Four distinct ARF phenotypes were identified: A (severe multi-organ dysfunction (MOD) with a high likelihood of kidney injury and heart failure), B (severe hypoxemic respiratory failure [median P/F=123]), C (mild hypoxia [median P/F=240]), and D (severe MOD with a high likelihood of hepatic injury, coagulopathy, and lactic acidosis). Patients in each phenotype showed differences in clinical course and mortality rates despite similarities in demographics and admission co-morbidities. The phenotypes were reproduced in external validation utilizing an external MICU from second hospital and SICUs from both centers. Kaplan-Meier analysis showed significant difference in 28-day mortality across the phenotypes (p<0.01) and consistent across both centers. The phenotypes demonstrated differences in treatment effects associated with high positive end-expiratory pressure (PEEP) strategy.

Conclusion

The phenotypes demonstrated unique patterns of organ injury and differences in clinical outcomes, which may help inform future research and clinical trial design for tailored management strategies.

Latent profiles of fatigue in inflammatory bowel disease

INTRODUCTION

Fatigue is prevalent in people with inflammatory bowel disease (IBD) and has been associated with IBD activity, sleep quality, depression, and anxiety. This study aimed to identify fatigue profiles or clusters through latent profile analysis.

METHODS

An online questionnaire was administered through three tertiary IBD centres, social media and through Crohn's Colitis Australia. Fatigue was assessed via the Functional assessment of chronic illness measurement system fatigue subscale (FACIT-F), a validated assessment of fatigue and its severity. Validated measures of anxiety, depression, IBD activity and sleep quality were also included. Latent profile analysis was performed including fatigue, sleep quality, active IBD, and depression and anxiety. The relationships between profiles and IBD and demographic data were investigated.

RESULTS

In a cohort of 535 respondents, 77% were female, the median age was 41 years (range 32-52 years), and the majority had Crohn's disease (62%). Severe fatigue was seen in 62%. Latent profile analysis identified four distinct profiles differing by fatigue score - low fatigue, at-risk profile, active IBD, and a poor mental health profile. Female gender, obesity and opioid usage were associated with higher risk of being in the active IBD and poor mental health profile. Age over 40 was associated with lower risk of being in the poor mental health profile.

CONCLUSION

Latent profile analysis identifies four classes of fatigue in an IBD cohort with associations with specific risk factors for fatigue along with specific IBD and demographic attributes. This has implications for the classification of fatigue in IBD and treatment algorithms.

Predicting future vaccination habits: The link between influenza vaccination patterns and future vaccination decisions among old aged adults in China

BACKGROUND

Annual influenza vaccination is crucially recommended for the elderly to maintain humoral immunity. Insufficient coverage requires us to understand the determinants of their influenza behaviors and how these patterns impact vaccination choices.

METHODS

Data from 540 Beijing residents aged over 65 were collected through interviews, capturing vaccination history and sociodemographic details. Individual influenza vaccination records from 2016 to 2020 were obtained from China's Immunization Information Systems. A latent class model identified three vaccination patterns. Multinomial logistic regression assessed relative risk ratios (RRRs) for vaccination based on sociodemographic factors. Vaccination patterns were used to predict future vaccination likelihood.

RESULTS

The analysis revealed three groups: sporadically vaccinated (63.33%), occasionally vaccinated (18.71%), and frequently vaccinated (17.96%). Factors associated with frequent vaccination included age over 70 (RRR = 2.81), lower income (RRR = 0.39), higher vaccine hesitancy (RRR = 3.10), multiple chronic conditions (RRR = 2.72), and rural residence (RRR = 2.48). The frequently vaccinated group was more likely to sustain regular vaccination habits in subsequent years compared to the occasionally vaccinated group.

CONCLUSIONS

Only 17.96% of Beijing's older population exhibited a consistent influenza vaccination pattern. Older age, rural residency, and chronic diseases correlated with repeated influenza vaccination. Segmenting the population based on past vaccination behavior can aid in designing targeted interventions to improve vaccination rates.

Association between movement behavior patterns and cardiovascular risk among Chinese adults aged 40-75: a sex-specific latent class analysis

BACKGROUND

Cardiovascular disease (CVD) is a major global health threat, particularly in China, contributing to over 40% of deaths. While sleep behaviors, sedentary behaviors, and physical activities are recognized as independent lifestyle risk factors for CVD, there remains limited understanding of specific movement behavior patterns and their CVD risks, especially considering sex-specific differences. This study examines movement behavior patterns among Chinese adults (40-75) and their associations with cardiovascular risk, with a focus on sleep, physical activity (PA), and sedentary behavior (SB).

METHODS

Data pertaining to 13,465 male participants and 15,613 female participants, collected from the Chronic Disease and Risk Factor Surveillance Survey in Nanjing from February 2020 to December 2022. The latent class analysis method was employed to identify underlying movement patterns across sexes. Multinomial logistic regression models assessed CVD risk, and the China-PAR model calculated 10-year risk.

RESULTS

Three male and four female movement patterns emerged. Active Movers (17.10% males, 5.93% females) adhered to PA recommendations but had poorer sleep quality. Moderate Achievers (61.42% males, 45.32% females) demonstrated moderate behavior. Sedentary Sleepers (21.48% males, 10.20% females) exhibited minimal PA but good sleep. Female Moderate Physical Activity (MPA) Dominant Movers demonstrated a prevalent adherence to recommended MPA levels. Active movers had the lowest CVD risk. After adjusting for potential confounders, moderate achievers (OR = 1.462, 95% CI 1.212, 1.764) and sedentary sleepers (OR = 1.504, 95% CI 1.211, 1.868) were both identified as being associated with a high-risk of cardiovascular diseases (CVDs) compared to active movers in males, demonstrating a similar trend for intermediate risk. Such associations were not statistically significant among females.

CONCLUSIONS

Our study revealed sex-specific movement patterns associated with CVD risks among middle-aged Chinese adults. We suggest that adopting an active movement behavior pattern, characterized by meeting or exceeding recommended levels of vigorous physical activity (VPA) and reducing sedentary behavior, is beneficial for all middle-aged adults, particularly males. An active lifestyle could help counteract the adverse effects of relatively poor sleep quality on the risk of developing CVD in this population. Integrating sleep, PA, and SB information provides a holistic framework for understanding and mitigating CVD risks.

Disparities in the Quality of Working Life Among Older Workers: Housing Conditions and Life Satisfaction With Latent Class Analysis

Little empirical research informs understanding of the disparate active aging experiences among working older adults, especially in terms of the association with living circumstances and life satisfaction. To address this knowledge gap, this study used latent class analysis on data from the 2020 Health and Retirement Study (HRS) core interview and focused on 1,194 employed adults aged 50 and above. The results revealed four subtypes of the quality of working life in older workers. Notably, in contrast to the other identified classes, higher levels of housing satisfaction and feelings of neighborhood safety were significantly associated with an increased likelihood of being a member of the group of older adults with the highest work capacities and the healthy work-life balance. Furthermore, participation in the class characterized by the highest work capacity and a healthy work-life balance was related to the highest levels of overall life satisfaction.

Trajectories of atherosclerotic cardiovascular disease risk scores as a predictor for incident chronic kidney disease

BACKGROUND

The relationship between atherosclerosis and renal function is well established. Atherosclerotic cardiovascular disease (ASCVD) risk scores reflect atherosclerotic burden, which changes over time. We investigated the association between ASCVD risk trajectories and incident chronic kidney disease (CKD) using data from a large community-based Korean cohort with up to 16 years of follow-up.

METHODS

We analyzed data from 5032 participants without CKD from the baseline survey of the Korean Genome and Epidemiology Study Ansan-Ansung cohort. Participants were categorized into stable or increasing ASCVD risk groups based on the revised ASCVD risk pooled cohort equation over a median period of exposure of 5.8 years. Incident CKD was defined as two consecutive events of an estimated glomerular filtration rate < 60 mL/min/1.73 m2.

RESULTS

During a median 9.9 years of event accrual period, 449 (8.92%) new-onset CKD cases were identified. Multiple Cox proportional regression analyses showed that the hazard ratio (95% confidence interval) for incident CKD in the increasing group, compared to the stable group, was 2.13 (1.74-2.62) in the unadjusted model and 1.35 (1.02-1.78) in the fully-adjusted model. Significant relationships were maintained in subgroups of individuals in their 50s, without diabetes mellitus or hypertension. The prevalence of proteinuria was consistently higher in the increasing group than that in the stable group.

CONCLUSIONS

An increasing trend in ASCVD risk scores independently predicted adverse renal outcomes in patients without diabetes mellitus or hypertension. Continuous monitoring of ASCVD risk is not only important for predicting cardiovascular disease but also for predicting CKD.

Latent class analysis of barriers to HIV testing services and associations with sexual behaviour and HIV status among adolescents and young adults in Nigeria

INTRODUCTION

Adolescents and young adults (AYA) face multiple barriers to accessing healthcare services, which can interact, creating complex needs that often impact health behaviours, leading to increased vulnerability to HIV. We aimed to identify distinct AYA subgroups based on patterns of barriers to HIV testing services and assess the association between these barrier patterns and sexual behaviour, socio-demographics, and HIV status.

METHODS

Data were from Nigeria's AIDS Indicator and Impact Survey (NAIIS, 2018) and included 18,612 sexually active AYA aged 15-24 years who had never been tested for HIV and reported barriers to accessing HIV testing services. A Latent class analysis (LCA) model was built from 12 self-reported barrier types to identify distinct subgroups of AYA based on barrier patterns. Latent class regressions (LCR) were conducted to compare the socio-demographics, sexual behaviour, and HIV status across identified AYA subgroups. Sex behaviour characteristics include intergenerational sex, transactional sex, multiple sex partners, condom use, and knowledge of partner's HIV status.

RESULTS

Our LCA model identified four distinct AYA subgroups termed 'low-risk perception' (n = 7,361; 39.5%), 'consent and proximity' (n = 5,163; 27.74%), 'testing site' (n = 4,996; 26.84%), and 'cost and logistics' (n = 1,092; 5.87%). Compared to adolescents and young adults (AYA) in the low-risk perception class, those in the consent and proximity class were more likely to report engaging in intergenerational sex (aOR 1.17, 95% CI 1.02-1.35), transactional sex (aOR 1.50, 95% CI 1.23-1.84), and have multiple sex partners (aOR 1.75, 95% CI 1.39-2.20), while being less likely to report condom use (aOR 0.79, 95% CI 0.63-0.99). AYA in the testing site class were more likely to report intergenerational sex (aOR 1.21, 95% CI 1.04-1.39) and transactional sex (aOR 1.53, 95% CI 1.26-1.85). AYA in the cost and logistics class were more likely to engage in transactional sex (aOR 2.12, 95% CI 1.58-2.84) and less likely to report condom use (aOR 0.58, 95% CI 0.34-0.98). There was no significant relationship between barrier subgroup membership and HIV status. However, being female, aged 15-24 years, married or cohabiting, residing in the Southsouth zone, and of Christian religion increased the likelihood of being HIV infected.

CONCLUSIONS

Patterns of barriers to HIV testing are linked with differences in sexual behaviour and sociodemographic profiles among AYA, with the latter driving differences in HIV status. Findings can improve combination healthcare packages aimed at simultaneously addressing multiple barriers and determinants of vulnerability to HIV among AYA.

Identifying high-risk subgroups for self-harm in adolescents and young adults: A longitudinal latent class analysis of risk factors

BACKGROUND

Self-harm is a major public health concern in young people and is governed by a complex interaction of different risk factors. While many studies have identified these risk factors, less is known about how they tend to co-occur together.

METHODS

A latent class analysis was conducted using risk factors for self-harm from two waves at ages 13 and 17 from the Growing Up in Ireland (GUI) study their associations with self-harm were examined longitudinally at ages 17 and 20, respectively.

RESULTS

At age 13, there was a 'peer problems' group with higher probabilities of bullying, being unpopular and internalising problems and a 'school and substance use problems' group with higher probabilities of substance use, truancy or excessive absence from school and violence. Both of these two groups had over a two-fold risk of self-harm at age 17 in comparison to the low risk factor group. At age 17, there was a group with depression that was diagnosed by a medical professional with the highest relative risk (RR:13.9 (95 % CI 10.2-19.0)) of self-harm at age 20. Two other groups with undiagnosed depression had high probabilities of being bullied, and either high or low probabilities of substance use that had a 9.4 (95 % CI 6.8-13.1) and 7.4 (95 % CI 5.5-10.0) relative risk of self-harm at age 20, respectively.

CONCLUSIONS

Identifying hidden sub-groups using risk factors for self-harm in young people can inform potential public health interventions by clinicians and other professionals who work with young people.

Identifying Patterns of Primary Care In-Person and Telemedicine Use in the Veterans Health Administration: A Latent Class Analysis

BACKGROUND

The Veterans Health Administration increased synchronous telemedicine (video and telephone visits) in primary care in response to the COVID-19 pandemic.

OBJECTIVE

Our objective was to determine veteran use patterns of in-person and telemedicine primary care when all modalities were available.

DESIGN

A retrospective cohort analysis. We performed a latent class analysis of primary care visits over a 1-year period to identify veteran subgroup (i.e., class) membership based on amount of primary care use and modality used. Then, we used multinomial logistic regression with a categorical outcome to identify patient characteristics associated with class identification.

PARTICIPANTS

A random national sample consisting of 564,580 primary care empaneled veterans in June 2021.

MAIN MEASURES

Latent class membership.

KEY RESULTS

We identified three latent classes: those with few primary care visits that were predominantly telephone-based (45%), intermediate number of visits of all modalities (50%), and many visits of all modalities (5%). In an adjusted model, characteristics associated with the "few" visits class, compared to the intermediate class, were older age, male sex, White race, further driving distance to primary care, higher Gagne, optimal internet speed, and unmarried status (OR 1.002, 1.52, 1.13, 1.004, 1.04, 1.05, 1.06, respectively; p < .05). Characteristics associated with membership in the "many" visits class, compared to the intermediate class, were Hispanic race, higher JEN Frailty Index and Gagne (OR 1.12, 1.11, 1.02, respectively; p < .05), and higher comorbidity by Care Assessment Need score quartile (Q2 1.73, Q3 2.80, Q4 4.12; p < 0.05).

CONCLUSIONS

Veterans accessing primary care in-person or via telemedicine do so primarily in three ways: (1) few visits, predominantly telephone; (2) intermediate visits, all modalities, (3) many visits, all modalities. We found no groups of veterans receiving a majority of primary care through video.

Mental health impact of multiple sexually minoritized and gender expansive stressors among LGBTQ+ young adults: a latent class analysis

AIMS

In the United States, lesbian, gay, bisexual, transgender, queer, intersex, asexual and other sexually minoritized and gender expansive (LGBTQ+) young adults are at increased risk for experiencing mental health inequities, including anxiety, depression and psychological distress-related challenges associated with their sexual and gender identities. LGBTQ+ young adults may have unique experiences of sexual and gender minority-related vulnerability because of LGBTQ+-related minority stress and stressors, such as heterosexism, family rejection, identity concealment and internalized homophobia. Identifying and understanding specific LGBTQ+-related minority stress experiences and their complex roles in contributing to mental health burden among LGBTQ+ young adults could inform public health efforts to eliminate mental health inequities experienced by LGBTQ+ young adults. Therefore, this study sought to form empirically based risk profiles (i.e., latent classes) of LGBTQ+ young adults based on their experiences with familial heterosexist experiences, LGBTQ+-related family rejection, internalized LGBTQ+-phobia and LGBTQ+ identity concealment, and then identify associations of derived classes with psychological distress.

METHODS

We recruited and enrolled participants using nonprobability, cross-sectional online survey data collected between May and August 2020 (N = 482). We used a three-step latent class analysis (LCA) approach to identify unique classes of response patterns to LGBTQ+-related minority stressor subscale items (i.e., familial heterosexist experiences, LGBTQ+-related family rejection, internalized LGBTQ+-phobia and LGBTQ+ identity concealment), and multinomial logistic regression to characterize the associations between the derived classes and psychological distress.

RESULTS

Five distinct latent classes emerged from the LCA: (1) low minority stress, (2) LGBTQ+ identity concealment, (3) family rejection, (4) moderate minority stress and (5) high minority stress. Participants who were classified in the high and moderate minority stress classes were more likely to suffer from moderate and severe psychological distress compared to those classified in the low minority stress class. Additionally, relative to those in the low minority stress class, participants who were classified in the LGBTQ+ identity concealment group were more likely to suffer from severe psychological distress.

CONCLUSION

Familial heterosexist experiences, LGBTQ+-related family rejection, internalized LGBTQ+-phobia and LGBTQ+ identity concealment are four constructs that have been extensively examined as predictors for mental health outcomes among LGBTQ+ persons, and our study is among the first to reveal nuanced gradients of these stressors. Additionally, we found that more severe endorsement of minority stress was associated with greater psychological distress. Given our study results and the previously established negative mental health impacts of minority stressors among LGBTQ+ young adults, findings from our study can inform research, practice, and policy reform and development that could prevent and reduce mental health inequities among LGBTQ+ young adults.

Chronic Disease Patterns and Their Relationship With Health-Related Quality of Life in South Korean Older Adults With the 2021 Korean National Health and Nutrition Examination Survey: Latent Class Analysis

BACKGROUND

Improved life expectancy has increased the prevalence of older adults living with multimorbidities, which likely deteriorates their health-related quality of life (HRQoL). Understanding which chronic conditions frequently co-occur can facilitate person-centered care tailored to the needs of individuals with specific multimorbidity profiles.

OBJECTIVE

The study objectives were to (1) examine the prevalence of multimorbidity among Korean older adults (ie, those aged 65 years and older), (2) investigate chronic disease patterns using latent class analysis, and (3) assess which chronic disease patterns are more strongly associated with HRQoL.

METHODS

A sample of 1806 individuals aged 65 years and older from the 2021 Korean National Health and Nutrition Examination Survey was analyzed. Latent class analysis was conducted to identify the clustering pattern of chronic diseases. HRQoL was assessed by an 8-item health-related quality of life scale (HINT-8). Multiple linear regression was used to analyze the association with the total score of the HINT-8. Logistic regression analysis was performed to evaluate the odds ratio of having problems according to the HINT-8 items.

RESULTS

The prevalence of multimorbidity in the sample was 54.8%. Three chronic disease patterns were identified: relatively healthy, cardiometabolic condition, arthritis, allergy, or asthma. The total scores of the HINT-8 were the highest in participants characterized as arthritis, allergy, or asthma group, indicating the lowest quality of life.

CONCLUSIONS

Current health care models are disease-oriented, meaning that the management of chronic conditions applies to a single condition and may not be relevant to those with multimorbidities. Identifying chronic disease patterns and their impact on overall health and well-being is critical for guiding integrated care.

Preferences for a community pharmacy-based pre-exposure prophylaxis (PrEP) delivery program: A discrete choice experiment

BACKGROUND

Community pharmacies are ideal venues for pre-exposure prophylaxis (PrEP) delivery. Pharmacists and pharmacy-based PrEP delivery programs have the potential to improve access.

OBJECTIVES

This study elicited preferences for attributes of a hypothetical community pharmacy-based PrEP delivery program among US men who have sex with men (MSM) and assessed predictors of their preferences.

METHODS

Data were collected via a cross-sectional anonymous survey of US MSM, who were aged 18-65 years, not transgender, reported HIV status negative/unknown, and PrEP eligible. A discrete choice experiment was conducted with seven attributes of a pharmacy-based PrEP program: initial PrEP eligibility screening mode, location for human immunodeficiency virus (HIV) tests, timing for HIV test results, PrEP decision-making style, location of PrEP consultations, PrEP medication fill method, and mode for ongoing monitoring. Latent class analysis was performed to analyze preference heterogeneity. Multinomial logistic regression assessed predictors of latent class membership.

RESULTS

This study included 390 MSM. Time to receive HIV test results was the most important attribute; receiving results on the same day had the highest preference. The next most important attribute was PrEP screening mode; online questionnaires were the most preferred. Respondents' preferences clustered into four classes: 1) "Same day results and online monitoring" (SDROM) group (63.1%), 2) "Consumerist decision-making" (CDM) group (16.2%), 3) "Self-screening (online questionnaire)" (SOQ) group (11.3%), and 4) "Same day results preferring" (SDRP) group (9.5%). Hispanic MSM (adjusted odds ratio [aOR] =0.31, 95% confidence interval [CI] [0.12-0.84], P = 0.020), MSM of other races (aOR=0.38, 95% CI [0.15-0.97], P = 0.044) vs. White MSM; and those having a sexually transmitted disease recently (aOR=0.37, 95% CI [0.16-0.85], P = 0.018), had lower odds of being in the CDM group vs. the SDROM group.

CONCLUSIONS

MSM's preferences for a pharmacy-based PrEP program are heterogeneous. Same day results for HIV tests and online PrEP screening are key components when designing a community pharmacy-based PrEP program.

Socioeconomic disparities in the association of age at first live birth with incident stroke among Chinese parous women: A prospective cohort study

Background

Stroke has become a significant public health issue in China. Although studies have shown that women's age at first live birth (AFLB) might be associated with incident stroke, there is limited evidence on this relationship among Chinese parous women. Likewise, the nature of this association across urban-rural socioeconomic status (SES) has yet to be explored. In this prospective study, we sought to investigate the associations of women's AFLB with the risk of incident stroke and its subtypes (ischaemic stroke, intracerebral haemorrhage, and subarachnoid haemorrhage) and to explore the differences of these associations as well as the population-level impacts across SES classes.

Methods

We used data on 290 932 Chinese parous women from the China Kadoorie Biobank who were recruited in the baseline survey between 2004 and 2008 and followed up until 2015. We used latent class analysis to identify urban-rural SES classes and Cox proportional hazard regression to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) for AFLB's association with incident stroke. We then calculated population attributable fraction (PAF) to demonstrate the population-level impact of later AFLB on stroke.

Results

Around 8.9% of parous women developed stroke after AFLB. Compared with women with AFLB <22 years, those with older AFLB had a higher risk of total stroke, with fully adjusted HRs (95% CI) of 1.71 (95% CI = 1.65-1.77) for 22-24 years and 3.37 (95% CI = 3.24-3.51) for ≥25 years. The associations of AFLB with ischaemic stroke were stronger among rural-low-SES participants. We found the highest PAFs of ischaemic stroke (60.1%; 95% CI = 46.2-70.3) associated with later AFLB for urban-high-SES individuals.

Conclusions

Older AFLB was associated with higher risks of incident stroke and its subtypes among Chinese parous women, with stronger associations between AFLB and ischaemic stroke among rural-low-SES participants. Targeted medical advice for pregnant women of different ages could have long-term benefits for stroke prevention.

Persistent Food Insecurity and Material Hardships: A Latent Class Analysis of Experiences among Venezuelan Refugees and Migrants in Urban Colombia

The causes and conditions of displacement often increase the vulnerability of migrant and refugee populations to food insecurity, alongside other material hardships. We aimed to examine the multidimensional aspects and patterns of food insecurity and other material hardships in a cross-sectional sample of 6221 Venezuelan refugees and migrants in urban Colombia using a latent class analysis. Using multinomial and logistic regression models, we investigated the demographic and migratory experiences associated with identified classes and how class membership is associated with multiple health outcomes among Venezuelan refugees and migrants, respectively. Approximately two thirds of the sample was comprised cisgender women, and the participants had a median age of 32 years (IQR: 26-41). Four heterogeneous classes of food insecurity and material hardships emerged: Class 1-low food insecurity and material hardship; Class 2-high food insecurity and material hardship; Class 3-high income hardship with insufficient food intake; and Class 4-income hardship with food affordability challenges. Class 2 reflected the most severe food insecurity and material hardships and had the highest class membership; Venezuelans with an irregular migration status were almost 1.5 times more likely to belong to this class. Food insecurity and material hardship class membership was independently associated with self-rated health, mental health symptoms, and recent violence victimization and marginally associated with infectious disease outcomes (laboratory-confirmed HIV and/or syphilis infection). Social safety nets, social protection, and other interventions that reduce and prevent material hardships and food insecurity among refugees and migrants, alongside the host community, may improve public health, support development, and reduce healthcare costs. In the long term, regularization and social policies for migrants aimed at enhancing refugees' and migrants' social and economic inclusion may contribute to improving food security in this population.

Association between hemoglobin trajectories and the incidence of dementia in a cohort of females aged 55-79 years

PURPOSE

To assess the association between pattern changes in hemoglobin levels over time and the incidence of dementia using trajectories in females aged 55-79 years.

MATERIALS AND METHODS

We conducted a retrospective cohort study using females of aged 55-79 years from the National Health Insurance Service National Health Screening Cohort in Korea. To identify hemoglobin trajectories over eight years (2002-2009), we performed a three-step approach comprising measures of change, factor analysis, and cluster analysis. Univariate and multivariate Cox proportional hazard models were used to assess the associations between hemoglobin trajectories and the incidence of dementia.

RESULTS

We included 20,195 of 235,742 female participants. New dementia (N = 2664) was developed during follow-up period (2010-2015). Five hemoglobin trajectories were identified: high, mid, low, increasing, and decreasing. With high as a reference, the hazard ratios (HRs) for low and decreasing trajectories were significant, 1.28 (95% confidence interval [CI], 1.13-1.45) and 1.21 (95% CI, 1.10-1.34) in univariate models, respectively. However, only the HR for the decreasing trajectory was significant, 1.12 (95% CI, 1.01-1.24) after adjustment for confounders.

CONCLUSION

The decreasing trajectory of hemoglobin levels within the normal range was associated with dementia. Even females aged 55-79 years without anemia might be vulnerable to dementia development risk.

Sex Differences in Clustering Unhealthy Lifestyles Among Survivors of COVID-19: Latent Class Analysis

BACKGROUND

The COVID-19 pandemic has underscored the significance of adopting healthy lifestyles to mitigate the risk of severe outcomes and long-term consequences.

OBJECTIVE

This study focuses on assessing the prevalence and clustering of 5 unhealthy lifestyle behaviors among Vietnamese adults after recovering from COVID-19, with a specific emphasis on sex differences.

METHODS

The cross-sectional data of 5890 survivors of COVID-19 in Vietnam were analyzed from December 2021 to October 2022. To examine the sex differences in 5 unhealthy lifestyle behaviors (smoking, drinking, unhealthy diet, physical inactivity, and sedentary behavior), the percentages were plotted along with their corresponding 95% CI for each behavior. Latent class analysis was used to identify 2 distinct classes of individuals based on the clustering of these behaviors: the "less unhealthy" group and the "more unhealthy" group. We examined the sociodemographic characteristics associated with each identified class and used logistic regression to investigate the factors related to the "more unhealthy" group.

RESULTS

The majority of individuals (male participants: 2432/2447, 99.4% and female participants: 3411/3443, 99.1%) exhibited at least 1 unhealthy behavior, with male participants being more susceptible to multiple unhealthy behaviors. The male-to-female ratio for having a single behavior was 1.003, but it escalated to 25 for individuals displaying all 5 behaviors. Male participants demonstrated a higher prevalence of combining alcohol intake with sedentary behavior (949/2447, 38.8%) or an unhealthy diet (861/2447, 35.2%), whereas female participants tended to exhibit physical inactivity combined with sedentary behavior (1305/3443, 37.9%) or an unhealthy diet (1260/3443, 36.6%). Married male participants had increased odds of falling into the "more unhealthy" group compared to their single counterparts (odds ratio [OR] 1.45, 95% CI 1.14-1.85), while female participants exhibited lower odds (OR 0.65, 95% CI 0.51-0.83). Female participants who are underweight showed a higher likelihood of belonging to the "more unhealthy" group (OR 1.11, 95% CI 0.89-1.39), but this was not observed among male participants (OR 0.6, 95% CI 0.41-0.89). In both sexes, older age, dependent employment, high education, and obesity were associated with higher odds of being in the "more unhealthy" group.

CONCLUSIONS

The study identified notable sex differences in unhealthy lifestyle behaviors among survivors of COVID-19. Male survivors are more likely to engage in unhealthy behaviors compared to female survivors. These findings emphasize the importance of tailored public health interventions targeting sex-specific unhealthy behaviors. Specifically, addressing unhealthy habits is crucial for promoting post-COVID-19 health and well-being.

Advertisement by medical facilities as an opportunity route of APOE genetic testing in Japan: a website analysis

The APOE-ε4 allele(s) is a strong risk factor for Alzheimer's disease (AD). A significant point of access for this allele testing is through services provided by medical facilities in Japan, which advertise out-of-insurance APOE testing on their websites. There is a concern that website advertisements for APOE testing may influence the ability for individuals to adequately self-determine whether to undergo APOE testing. We conducted a cross-sectional survey on medical facility websites in Japan advertising APOE genetic testing. We predefined desirable features for advertisement descriptions based on legal regulations and guidelines published by relevant professional societies and evaluated each website according to these features. We identified 220 medical facilities that had posted advertisements on their websites for the provision of APOE genetic testing, of which 85% were small clinics. Contact information, details, and costs of testing were described in most of the websites. Meanwhile, features such as "explaining APOE as a risk gene," "notes on interpreting APOE results," or "explaining examination methods" (e.g., blood sampling) were described to a variable degree depending on individual facilities. "Notes on genetic testing" or "referring to genetic counseling" were hardly referred to, and specialists with appropriate expertise were considered to participate in clinical practice in approximately one-third of these facilities providing APOE testing services. These website evaluation results showed moderate to substantial reliability between independent raters. These results suggest that self-determination of pursuing out-of-insurance APOE testing at some medical facilities in Japan may possibly be influenced in an inappropriate manner, at least in its entry route of taking the test.

School Readiness in Preschool-Age Children with Critical Congenital Heart Disease

This study examined the nature, variability, and predictors of school readiness difficulties in young children with critical congenital heart disease (CCHD). We hypothesized that, compared to a community control (CC) group, children with CCHD would score less well on measures of readiness and that readiness would be associated with CCHD-related risk factors. Children (60 CCHD and 60 CC) were 4 to 5 years of age and not yet attending kindergarten. Readiness measures included tests of cognition, executive function, motor ability, and pre-academic skills. Caregivers provided child behavior ratings. Analyses examined group differences in readiness, readiness profiles, and associations of readiness with CCHD-related medical risk factors. The CCHD group had lower scores than the CC group on testing and higher caregiver ratings of problems in social communication, as well as higher rates of deficits on several of the measures. Latent class analysis provided evidence for different readiness profiles, with more children with CCHD displaying profiles characterized by weaknesses in readiness. CCHD-related medical risk factors associated with readiness problems in the CCHD group included a co-morbid genetic disorder, postnatal diagnosis of CCHD, major perioperative complication, and longer periods of hospitalizations, cardiopulmonary bypass, and aortic cross-clamp placements. Findings document multiple problems in school readiness in young children with CCHD. Deficits vary across individuals and are associated with higher medical risk. Results confirm the importance of screening for school readiness in these children and suggest areas to target in designing screening measures and providing early childhood interventions.

Molecular Phenotypes of Acute Respiratory Distress Syndrome in the ROSE Trial Have Differential Outcomes and Gene Expression Patterns That Differ at Baseline and Longitudinally over Time

Rationale: Two molecular phenotypes have been identified in acute respiratory distress syndrome (ARDS). In the ROSE (Reevaluation of Systemic Early Neuromuscular Blockade) trial of cisatracurium in moderate to severe ARDS, we addressed three unanswered questions: 1) Do the same phenotypes emerge in a more severe ARDS cohort with earlier recruitment; 2) Do phenotypes respond differently to neuromuscular blockade? and 3) What biological pathways most differentiate inflammatory phenotypes?Methods: We performed latent class analysis in ROSE using preenrollment clinical and protein biomarkers. In a subset of patients (n = 134), we sequenced whole-blood RNA using enrollment and Day 2 samples and performed differential gene expression and pathway analyses. Informed by the differential gene expression analysis, we measured additional plasma proteins and evaluated their abundance relative to gene expression amounts.Measurements and Main Results: In ROSE, we identified the hypoinflammatory (60.4%) and hyperinflammatory (39.6%) phenotypes with similar biological and clinical characteristics as prior studies, including higher mortality at Day 90 for the hyperinflammatory phenotype (30.3% vs. 61.6%; P < 0.0001). We observed no treatment interaction between the phenotypes and randomized groups for mortality. The hyperinflammatory phenotype was enriched for genes associated with innate immune response, tissue remodeling, and zinc metabolism at Day 0 and collagen synthesis and neutrophil degranulation at Day 2. Longitudinal changes in gene expression patterns differed dependent on survivorship. For most highly expressed genes, we observed correlations with their corresponding plasma proteins' abundance. However, for the class-defining plasma proteins in the latent class analysis, no correlation was observed with their corresponding genes' expression.Conclusions: The hyperinflammatory and hypoinflammatory phenotypes have different clinical, protein, and dynamic transcriptional characteristics. These findings support the clinical and biological potential of molecular phenotypes to advance precision care in ARDS.

Subtypes of Transitions into a Family Caregiving Role: A Latent Class Analysis

This paper groups persons who have transitioned into family caregiving using a latent class analysis and examines class differences on measures of well-being. Latent classes were identified for a sample of 251 participants who became family caregivers while participating in a longitudinal national study, and linear regression analyses compared average well-being change scores across classes. Fit indices supported a four-class solution dispersed along two conceptual dimensions: caregiving intensity and caregiving stain. The largest class (35.5%) was characterized as low intensity, low strain. The smallest class (12.7%) was characterized as high intensity, high strain, and these caregivers had significantly worse well-being change scores compared to the other caregiving classes. Categorizing caregivers by differing levels of care intensity and caregiving strain helps identify caregivers who are at most risk for poor psychosocial outcomes, determines which caregivers might benefit from specific caregiver support programs, and informs investigators on possible refinements to interventions.

Social Determinants Among Pregnant Clients With Perinatal Depression, Anxiety, Or Serious Mental Illness

To characterize co-occurring social determinants of health for clients experiencing perinatal anxiety and depression (perinatal mood and anxiety disorders) or serious mental illness (SMI) in a diverse population receiving prenatal care in a safety-net health system, we conducted a latent class analysis, using data from a social determinants screener in pregnancy for the health system's clients during 2017-20. The sample included clients with positive screens for depression or anxiety or SMI diagnoses. Prenatal clients with a positive screen for perinatal mood and anxiety disorders or SMI comprised 13-30 percent of classes, characterized by more than two co-occurring social determinants (for example, co-occurring socioeconomic and interpersonal factors). The study findings highlight the salience of social determinants among prenatal patients experiencing perinatal mood and anxiety disorder and SMI and suggest the necessity of consistent screening for both social determinants and perinatal mental health. Policies to address social determinants within and beyond health care settings are critical.

Patterns of Adverse Childhood Experiences and Problematic Health Outcomes Among US Young Adults: A Latent Class Analysis

INTRODUCTION

Adverse childhood experiences (ACEs) predict problematic health outcomes (eg, substance use, mental health) among young adults; whether specific ACEs are differentially associated with specific substance use and mental health symptoms is understudied.

METHODS

Latent class analysis (LCA) identified classes of ACEs among 2209 US young adults (Mage = 24.69, range: 18-34; 57.4% female; 30.9% sexual minority; 35.8% racial/ethnic minority) in a 2-year study (2018-2020). Multivariable logistic regressions examined ACEs (reported in 2019) in relation to 2020 reports of current (past 30-day) substance use (ie, tobacco use; cannabis use and hazardous use; alcohol use and binge drinking) and mental health (ie, ≥moderate depression and anxiety symptoms), controlling for sociodemographics (ie, age, gender, race, ethnicity, sexual orientation, education).

RESULTS

Overall, 65.4% reported ≥1 ACE (M = 2.09, SD = 2.30); 34.8%, 39.1%, and 71.1% current tobacco, cannabis, and alcohol use; 39.1% and 15.3% hazardous cannabis use and binge drinking; and 24.2% and 34.5% ≥moderate depression and anxiety symptoms, respectively. LCA yielded 4 classes: Low ACEs (referent; 55.6%), Poor family health and divorce (16.3%), Parental abuse (16.0%), and High ACEs (12.1%). High ACEs (vs Low ACEs) was associated with each adverse substance use and mental health outcome except alcohol use. Poor family health and divorce was associated with tobacco use, cannabis use, and both mental health outcomes. Parental abuse was associated with tobacco use, cannabis use, hazardous cannabis use, and both mental health outcomes.

CONCLUSIONS

Health promotion interventions for young adults must assess ACEs, given that certain types of ACEs may be associated with distinct substance use and mental health outcomes.

Profiles of met and unmet care needs in the oldest-old primary care patients with depression - results of the AgeMooDe study

BACKGROUND

Unmet care needs have been associated with an increased risk of depression in old age. Currently, the identification of profiles of met and unmet care needs associated with depressive symptoms is pending. Therefore, this exploratory study aimed to identify profiles of care needs and analyze associated factors in oldest-old patients with and without depression.

METHODS

The sample of 1092 GP patients aged 75+ years is based on the multicenter study "Late-life depression in primary care: needs, health care utilization and costs (AgeMooDe)". Depression (i.e. clinically meaningful depressive symptoms) was determined using the Geriatric Depression Scale (GDS) (cutoff score ≥ 4). Needs of patients were assessed using the Camberwell Assessment of Need for the Elderly (CANE). Associated sociodemographic and clinical factors were examined, and latent class analysis identified the need profiles.

RESULTS

The main result of the study indicates three need profiles: 'no needs', 'met physical needs', and 'unmet social needs'. Members of the 'met physical needs' (OR = 3.5, 95 %-CI: 2.5-4.9) and 'unmet social needs' (OR = 17.4, 95 %-CI: 7.7-39.7) profiles were significantly more likely to have depression compared to members of the 'no needs' profile.

LIMITATIONS

Based on the cross-sectional design, no conclusions can be drawn about the causality or direction of the relationships between the variables.

CONCLUSIONS

The study results provide important insights for the establishment of needs-based interventions for GPs. Particular attention should be paid to the presence of unmet social needs in the oldest-old GP patients with underlying depressive symptoms.

Artificial intelligence and machine learning: Definition of terms and current concepts in critical care research

With increasing computing power, artificial intelligence (AI) and machine learning (ML) have prospered, which facilitate the analysis of large datasets, especially those found in critical care. It is important to define these terminologies, to inform a standardized approach to critical care research. This manuscript hopes to clarify these terms with examples from medical literature. Three major components that are required for a successful ML implementation: (i) reliable dataset, (ii) ML algorithm, and (iii) unbiased model evaluation, are discussed. A reliable dataset can be structured or unstructured with limited noise, outliers, and missing values. ML, a subset of AI, is typically focused on supervised or unsupervised learning tasks in which the output is based on inputs and derived from iterative pattern recognition algorithms, while AI is the overall ability of a machine to "think" or mimic human behavior; and to analyze data free from human influence. Even with successful implementation, advanced AI and ML algorithms have faced challenges in adoption into practice, mainly due to their lack of interpretability, which hinders trust, buy-in, and engagement from clinicians. Consequently, traditional algorithms, such as linear and logistic regression, that may have reduced predictive power but are highly interpretable, continue to be widely used.

Leveraging multivariate approaches to advance the science of early-life adversity

Since the landmark Adverse Childhood Experiences (ACEs) study, adversity research has expanded to more precisely account for the multifaceted nature of adverse experiences. The complex data structures and interrelated nature of adversity data require robust multivariate statistical methods, and recent methodological and statistical innovations have facilitated advancements in research on childhood adversity. Here, we provide an overview of a subset of multivariate methods that we believe hold particular promise for advancing the field's understanding of early-life adversity, and discuss how these approaches can be practically applied to explore different research questions. This review covers data-driven or unsupervised approaches (including dimensionality reduction and person-centered clustering/subtype identification) as well as supervised/prediction-based approaches (including linear and tree-based models and neural networks). For each, we highlight studies that have effectively applied the method to provide novel insight into early-life adversity. Taken together, we hope this review serves as a resource to adversity researchers looking to expand upon the cumulative approach described in the original ACEs study, thereby advancing the field's understanding of the complexity of adversity and related developmental consequences.

Identifying the personal characteristics of decent work perception for nursing students in China using latent profile analysis

BACKGROUND

Given the importance of perceptions of decent work for nursing students' future career choices, we attempted to determine potential classifications and characteristics of nursing students' perceptions of decent work so that targeted interventions could be developed.

METHODS

A convenience sample of 1004 s- to fourth-year nursing students completed the General Information Questionnaire, Self-Regulatory Fatigue Scale, Occupational Identity Questionnaire, and Decent Work Perceptions Scale in a cross-sectional survey in Heilongjiang Province, China, resulting in 630 valid questionnaires with a valid return rate of 62.75%. Nursing students' perceptions of decent work were defined using descriptive and regression analysis.

RESULTS

Latent profile analysis (LPA) identified three subgroups: low perceived decent work group, medium perceived decent work group, and high perceived decent work group, accounting for 4.76%, 69.37%, and 25.87% of the sample, respectively. The results of unordered multiclass logistic regression show that nursing students with relatively low levels of perceived decent work are more likely to have a low professional identity, a lack of respect for nursing seniors, an involuntary choice of nursing major, and a low family income.

CONCLUSION

Different types of nursing students have different perceptions of decent work, and these universities and related departments can use different educational guidance strategies.

Life course socioeconomic status, chronic pain, and the mediating role of allostatic load: findings from the midlife in the United States

Introduction

Low socioeconomic status (SES) has been linked to chronic pain (CP); however, the mechanisms by which SES over the life course influences downstream CP outcomes remain unclear.

Methods

This study utilizes data from the Midlife in the United States (MIDUS) survey, a prospective sample of community-dwelling individuals (N=781), to investigate the chain of risk additive model of SES in relation to CP. Additionally, the study examines the mediating role of allostatic load (AL) in the relationship between life course SES and CP. Confirmatory factor analysis was employed to capture the multidimensionality of life course SES and path analysis was used to examine the direct and indirect effects on CP. AL was computed by quartile-based summation and by latent class analysis.

Results

Results indicated lower SES in MIDUS 2 was associated with greater high-interference CP odds in MIDUS 3 (OR=1.069, 95% CI=1.006-1.136, P < 0.05) and no association was found between distal SES and levels of CP interference. Similarly, no significant relationship was observed between SES and the number of CP locations. Additionally, no additive effects of SES were found, and AL did not present mediation effects on the association between life course SES and CP.

Discussion

The present study emphasizes the importance of directly proximal effects of SES on CP, underscoring the need for equitable distribution of health resources and the implementation of policies focused on diminishing socioeconomic inequalities. Further research is needed to examine alternative pathways by which proximal SES impact CP.

Dietary knowledge-attitude-practice status in hemodialysis patients: a latent profile analysis

BACKGROUND

Hemodialysis patients require a reasonable dietary intake to manage their disease progression effectively. However, there is limited research on these patients' overall dietary knowledge, attitude, and practice (KAP) status. This study aimed to investigate the dietary KAP status and latent profiles in hemodialysis patients and identify sociodemographic and disease-related factors associated with these profiles and dietary practice.

METHODS

A multicenter cross-sectional study involving 425 hemodialysis patients was conducted. A dietary KAP questionnaire in hemodialysis patients was used to evaluate the dietary KAP of the patients. A structural equation model was employed to analyze the correlations between dietary knowledge, attitude, and practice. Multiple linear regression analysis was used to identify factors associated with dietary practice scores. Latent profile analysis was conducted to determine the latent profiles of dietary KAP, and binary logistic regression was used to explore the sociodemographic and disease-related characteristics associated with each KAP profile in hemodialysis patients.

RESULTS

The normalized average scores for dietary knowledge, attitude, and practice in hemodialysis patients were 0.58, 0.82, and 0.58, respectively. The structural equation model revealed significant positive correlations between dietary knowledge and attitude, and attitude and practice. Attitude played an indirect effect between knowledge and practice. Gender, cerebrovascular disease, and dietary attitude scores were identified as independent influencing factors for dietary practice scores. Two dietary KAP profiles were developed: a profile with general knowledge and attitude but low practice (40.2%) and a profile with general knowledge and attitude and high practice (59.8%). Binary logistic regression analysis indicated gender and monthly income per household significantly predicted membership in each KAP profile.

CONCLUSIONS

The dietary practice of hemodialysis patients requires improvement. It is necessary to develop more individualized dietary interventions for these patients. Further exploration is needed to understand the motivation of patients to change their dietary behavior.

Mechanisms underlying the relationship between the intersectionality of multiple social identities with depression among US adults: A population-based study on the mediating roles of lifestyle behaviors

BACKGROUND

Despite substantial efforts to investigate the inequalities in mental health among people with marginalized identities, most research has concentrated on single social identities rather than complete persons. The current study aimed to explore the mechanisms underlying the relationship between the intersectionality of multiple social identities with depression among US adults.

METHODS

Data for this study came from the National Health and Nutrition Examination Survey waves between 2015 and 2018, including a total of 11,268 US adults. A latent class analysis (LCA) was conducted to identify latent subpopulations based on sex, race/ethnicity, immigrant status, disability, household income, employment status, and education level. Interclass differences in lifestyle factors and depression were examined. Multiple mediation analysis was used to examine the mediating roles of lifestyle behaviors.

RESULTS

LCA identified four potential subpopulations: "least marginalized", "immigrant minorities", "disabled, less-educated non-workers", and "low-income minorities" groups. There was enormous heterogeneity in mental health among immigrant minority individuals. The "disabled, less-educated non-workers" group had the highest rates of depression; in contrast, the "immigrant minorities" group had the best mental health, even better than that of the "least marginalized" group. Distributions of lifestyle factors followed a similar pattern. In addition, lifestyle behaviors significantly mediated the relationship between intersectional social identities and depression.

LIMITATIONS

The cross-sectional design prevented establishment of the causality of relationships.

CONCLUSIONS

This study suggests that applying a person-centered approach is important when examining intersectional inequalities in mental health and highlights the effects of structural social hierarchies on individuals' health behaviors and mental health.

A latent class analysis of dissociative PTSD subtype among Chinese adolescents following the COVID-19 pandemic and lockdown

BACKGROUND

The COVID-19 pandemic and related policies have amplified the vulnerability of adolescents to the development of posttraumatic stress disorder (PTSD) and dissociation symptoms. This study sought to explore the profile patterns and psychopathological characteristics of co-occurring PTSD and dissociation symptoms in Chinese adolescents.

METHODS

A total of 57,984 junior and senior high school students in Deyang City, China were recruited between July 13 and July 19, 2020. PTSD and dissociation symptoms, risk factors, and functional impairment variables were assessed using the Global Psychotrauma Screen for Teenagers (GPS-T) instrument. Latent class analysis (LCA) was employed to examine the phenomenology and risk factors of co-occurring PTSD and dissociation symptoms. Analysis of Variance (ANOVA) was utilized to investigate differences in COVID-19 pandemic-related exposure and functional impairment across distinct symptom profiles.

RESULTS

A 4-class model was selected as the optimal solution, comprising subgroups of low symptom, predominant PTSD symptom, predominant dissociation symptom, and PTSD-dissociation symptom. Class membership could be significantly predicted by other stressful experiences, social support, childhood maltreatment and psychiatric histories. The PTSD-dissociation symptom class exhibited the most severe COVID-19 pandemic-related exposure and functional impairment among all classes.

LIMITATIONS

The cross-sectional design, Chinese cultural background, online survey method and oversimple measurements were the limitations.

CONCLUSIONS

Our findings extend existing knowledge about the coexisting patterns of PTSD and dissociation symptoms in adolescents, which could assist in identifying high-risk youths. Furthermore, our findings offer recommendations for shaping public health policies and formulating effective clinical interventions for adolescents following the COVID-19 pandemic and lockdown.

Subphenotypes of self-reported symptoms and outcomes in long COVID: a prospective cohort study with latent class analysis

OBJECTIVE

To characterise subphenotypes of self-reported symptoms and outcomes (SRSOs) in postacute sequelae of COVID-19 (PASC).

DESIGN

Prospective, observational cohort study of subjects with PASC.

SETTING

Academic tertiary centre from five clinical referral sources.

PARTICIPANTS

Adults with COVID-19 ≥20 days before enrolment and presence of any new self-reported symptoms following COVID-19.

EXPOSURES

We collected data on clinical variables and SRSOs via structured telephone interviews and performed standardised assessments with validated clinical numerical scales to capture psychological symptoms, neurocognitive functioning and cardiopulmonary function. We collected saliva and stool samples for quantification of SARS-CoV-2 RNA via quantitative PCR.

OUTCOMES MEASURES

Description of PASC SRSOs burden and duration, derivation of distinct PASC subphenotypes via latent class analysis (LCA) and relationship with viral load.

RESULTS

We analysed baseline data for 214 individuals with a study visit at a median of 197.5 days after COVID-19 diagnosis. Participants reported ever having a median of 9/16 symptoms (IQR 6-11) after acute COVID-19, with muscle-aches, dyspnoea and headache being the most common. Fatigue, cognitive impairment and dyspnoea were experienced for a longer time. Participants had a lower burden of active symptoms (median 3 (1-6)) than those ever experienced (p<0.001). Unsupervised LCA of symptoms revealed three clinically active PASC subphenotypes: a high burden constitutional symptoms (21.9%), a persistent loss/change of smell and taste (20.6%) and a minimal residual symptoms subphenotype (57.5%). Subphenotype assignments were strongly associated with self-assessments of global health, recovery and PASC impact on employment (p<0.001) as well as referral source for enrolment. Viral persistence (5.6% saliva and 1% stool samples positive) did not explain SRSOs or subphenotypes.

CONCLUSIONS

We identified three distinct PASC subphenotypes. We highlight that although most symptoms progressively resolve, specific PASC subpopulations are impacted by either high burden of constitutional symptoms or persistent olfactory/gustatory dysfunction, requiring prospective identification and targeted preventive or therapeutic interventions.

Determinants of multimorbidity in older adults in Iran: a cross-sectional study using latent class analysis on the Bushehr Elderly Health (BEH) program

BACKGROUND AND OBJECTIVES

Multimorbidity, defined as the presence of two or more long-term health conditions in an individual, is one of the most significant challenges facing health systems worldwide. This study aimed to identify determinants of classes of multimorbidity among older adults in Iran.

RESEARCH DESIGN AND METHODS

In a cross-sectional sample of older adults (aged ≥ 60 years) from the second stage of the Bushehr Elderly Health (BEH) program in southern Iran, latent class analysis (LCA) was used to identify patterns of multimorbidity. Multinomial logistic regression was conducted to investigate factors associated with each multimorbidity class, including age, gender, education, household income, physical activity, smoking status, and polypharmacy.

RESULTS

In 2,426 study participants (mean age 69 years, 52% female), the overall prevalence of multimorbidity was 80.2%. Among those with multimorbidity, 3 latent classes were identified. These comprised: class 1, individuals with a low burden of multisystem disease (56.9%); class 2, individuals with predominantly cardiovascular-metabolic disorders (25.8%) and class 3, individuals with predominantly cognitive and metabolic disorders (17.1%). Compared with men, women were more likely to belong to class 2 (odds ratio [OR] 1.96, 95% confidence interval [CI] 1.52-2.54) and class 3 (OR 4.52, 95% CI 3.22-6.35). Polypharmacy was associated with membership class 2 (OR 3.52, 95% CI: 2.65-4.68) and class 3 (OR 1.84, 95% CI 1.28-2.63). Smoking was associated with membership in class 3 (OR 1.44, 95% CI 1.01-2.08). Individuals with higher education levels (59%) and higher levels of physical activity (39%) were less likely to belong to class 3 (OR 0.41; 95% CI: 0.28-0.62) and to class 2 (OR 0.61; 95% CI: 0.38-0.97), respectively. Those at older age were less likely to belong to class 2 (OR 0.95).

DISCUSSION AND IMPLICATIONS

A large proportion of older adults in Iran have multimorbidity. Female sex, polypharmacy, sedentary lifestyle, and poor education levels were associated with cardiovascular-metabolic multimorbidity and cognitive and metabolic multimorbidity. A greater understanding of the determinants of multimorbidity may lead to strategies to prevent its development.

Postoperative pain trajectories in total hip arthroplasty

Aims

Total hip arthroplasty (THA) is a common procedure to address pain and enhance function in hip disorders such as osteoarthritis. Despite its success, postoperative patient recovery exhibits considerable heterogeneity. This study aimed to investigate whether patients follow distinct pain trajectories following THA and identify the patient characteristics linked to suboptimal trajectories.

Methods

This retrospective cohort study analyzed THA patients at a large academic centre (NYU Langone Orthopedic Hospital, New York, USA) from January 2018 to January 2023, who completed the Patient-Reported Outcomes Measurement Information System (PROMIS) pain intensity questionnaires, collected preoperatively at one-, three-, six-, 12-, and 24-month follow-up times. Growth mixture modelling (GMM) was used to model the trajectories. Optimal model fit was determined by Bayesian information criterion (BIC), Vuong-Lo-Mendell-Rubin likelihood ratio test (VLMR-LRT), posterior probabilities, and entropy values. Association between trajectory groups and patient characteristics were measured by multinomial logistic regression using the three-step approach.

Results

Among the 1,249 patients, a piecewise GMM model revealed three distinct pain trajectory groups: 56 patients (4.5%) in group 1; 1,144 patients (91.6%) in group 2; and 49 patients (3.9%) in group 3. Patients in group 2 experienced swift recovery post-THA and minimal preoperative pain. In contrast, groups 1 and 3 initiated with pronounced preoperative pain; however, only group 3 exhibited persistent long-term pain. Multinomial regression indicated African Americans were exceedingly likely to follow trajectory groups 1 (odds ratio (OR) 2.73) and 3 (OR 3.18). Additionally, odds of membership to group 3 increased by 12% for each BMI unit rise, by 19% for each added postoperative day, and by over four if discharged to rehabilitation services (OR 4.07).

Conclusion

This study identified three distinct pain trajectories following THA, highlighting the role of individual patient factors in postoperative recovery. This emphasizes the importance of preoperatively addressing modifiable risk factors associated with suboptimal pain trajectories, particularly in at-risk patients.

IPVAW male perpetrators convicted in Spain: a typology and characterization based on latent class analysis

Introduction

Men who assault their partners present deficits in the social skills necessary for adequate interpersonal interaction. Not all of them have the same difficulties, thus they do not constitute a homogeneous group. Various studies have proposed different typologies of abusers based on their sociodemographic characteristics, criminal history, intensity and extent of violent or psychopathological traits. The majority of these investigations have been conducted in community samples, prompting the question of their validity in samples of men convicted of gender violence. The aim of this study was to establish a typology of men convicted in Spain for a gender violences crimes.

Methodology

A total of 365 men participated and were subdivided into three classes of abusers based on their childhood, family experiences with violence, criminal history, sexist attitudes and attitudes toward violence, intensity and type of violence, psychopathological state and attachment style.

Results

Coinciding with the results found in other research, 30% of the participants were classified as generally violent. They engaged in severe forms of physical, psychological and sexual violence and were more likely to do so than the rest. Additionally, they are more likely to present psychopathological problems and an antisocial character. Twenty-one percent were classified as dysphoric/borderline. They are characterized by minor forms of psychological violence, borderline or depressive symptomatology and an anxious attachment style. The remaining 49% were classified as familial or normalized abusers. This group exhibits moderate attitudes toward violence and sexism, resulting in less psychological and physical aggression. They do not present psychopathological problems and are likely to present a secure attachment style.

Discussion

It is argued that determining the psychological characteristics of each type of abuser would contribute to improving and adapting intervention protocols in Spain, leading to a significant improvement in the current issue of abuse.

Association between traumatic events with suicidality among adolescents: A large-scale cross-sectional study of 260,423 participants

Traumatic events have significant negative impacts throughout one's life. We aimed to comprehensively examine the early associations between traumatic events and suicidality among adolescents. In a cross-sectional sample of 260,423 adolescents in Deyang, China in September 2021, we assessed individual traumatic events, cumulative types, and patterns, alongside suicide risk scores and ideation, attempts, or plans. Linear and Poisson regression models adjusted for demographic confounders evaluated the association. Robust associations existed between interpersonal violence-related traumatic events and higher suicidality, with physical abuse demonstrating the strongest correlation. Moreover, suicide risk scores displayed a clear trend, indicating a progressively stronger association with suicidality as cumulative traumatic event types increased. Four distinct traumatic patterns emerged, including low traumas, high physical abuse, high death/serious injuries of a loved one, and multiple traumas, with the latter showing the strongest association with suicidality. Notably, the stratified analysis showed these associations were more pronounced in females, urban residents, only children, left-behind children, and those aged 13-15, while weaker in participants from families with intact parental relationships and middle socioeconomic status. Understanding the role of demographic factors and traumatic patterns in identifying at-risk youth can enable early detection and targeted interventions for suicide-related concerns.