Trajectory Classes Research Articles

Sex differences in cognitive function trajectories and their determinants in older adults: Evidence from the Chinese longitudinal healthy longevity survey.

To examine sex differences in the cognitive trajectories of a nationally representative sample of older people living in China and to explore potential determinants of these trajectories. The study included 2230 women and 2171 men who were cognitively healthy and aged over 60 at the first observation from the Chinese Longitudinal Healthy Longevity Survey based on the 2008-2018 cohort. Cognitive function was measured using the Chinese version of the Mini-Mental State Examination (MMSE). Group-based trajectory modeling was used to identify potential heterogeneity of longitudinal changes over the 10years in each gender. Logistic regression was used to investigate associations between baseline characteristics (age, education, fertility history, sleep length, physical activity, and health status and behaviors) and trajectory classes. Three trajectories (labeled stable, slow decline, and rapid decline) were identified according to the changes in MMSE scores for both women and men. For the women, both the slow and rapid decline groups accounted for a larger proportion (14.7% and 11.0%, respectively) than the male decline groups (8.1% and 6.6%, respectively), and the women had a lower baseline MMSE score with a faster decline. In the multivariable logistic regression analyses, older age, less education, older age at first birth, poorer functional abilities, hearing impairment, and lower baseline MMSE scores were significantly associated with cognitive decline in both the female and male groups compared to the stable group. For the women, sleeping over 9h was also associated with a rapid cognitive decline trajectory, while current exercise and being overweight/obese were protective factors against cognitive decline. The women had an overall more serious cognitive decline than men. The potential determinants of cognitive decline identified in this study could be considered for developing specific intervention strategies aimed at promoting a healthy brain and preventing cognitive decline in different sexes, especially in low-income and developing countries.

Effects of different dietary fiber supplement strategies on incidence of acute gastrointestinal injury in ICU patients: A prospective observational study

ObjectiveThis study aimed to explore the effects of dietary fiber (DF) supplement strategies on the incidence of acute gastrointestinal injury (AGI) in critically ill patients. DesignA prospective observational study. SettingThe study was conducted in the First Affiliated Hospital of Soochow University from April 2021 to March 2023. MethodsUsing a five-day dietary log counted the amount of DF supplement. The best fitting trajectories of DF supplement were determined based on the latent class trajectory modelling (LCTM). The data of AGI were evaluated on the day 5 (D5) and day 7 (D7) after intensive care unit admission. ResultsA total of 179 patients were included in the study. The LCTM yielded a four-trajectories of models, named; Sustained Low – Group, Slowly Rising – Group, Early Supplement & Slowly Rising – Group and Rapidly Rising – Group, respectively. The incidences of AGI on D5 and D7 were 51.4 % and 40.0 %, respectively. There was an increased risk in the grade of AGI in the Sustained Low – Group compared with the Rapidly Rising – Group on D5 [odds ratio (OR), 4.8; 95 % confidence interval (CI), 1.9–12.1] and D7 (OR, 12.0; 95 % CI, 3.9–37.0); and an increased risk in the Slowly Rising – Group on D5 (OR, 3.6; 95 % CI, 1.3–9.9). ConclusionThe supplement of DF in critically ill patients may be insufficient and the incidence of AGI is high. Sustained low and slow rising DF supplement may be associated with an increased risk in the AGI. Implications for clinical practiceThe clinical staff could focus on the supplementation of not only the three macronutrients, but also DF in critically ill patients.

United we stand, divided we fall. Union organization and political activism among Jewish woodworkers in early-twentieth-century Buenos Aires

ABSTRACT This article focuses on the formation of the working class in Argentina, specifically within the Jewish East-European sector of the furniture industry during the early twentieth century. It examines Jewish immigration, their integration into the timber sector of Buenos Aires, and diverse labour relationships. Through an analysis of social and labour conflicts, the paper aims to study how Yiddish-speaking workers integrated into a highly cosmopolitan working class, put, at the same time, into a broader perspective of Jewish immigration into the Global South. By doing so, we hope to enhance our understanding of the significant role played by Jewish workers in the trajectory of the Argentine working class.

Cognition and Wealth Changes in Mid-to-later Life: A Latent Class Trajectories Approach Using the Health and Retirement Study.

ObjectivesTo assess how cognitive trajectories from mid-to-later life relate to wealth change, overall and by mid-life income. Methods: Data were from participants (51-64years) in the 2000-2018 U.S. Health and Retirement Study who were cognitively healthy at baseline (year 2000; unweighted n = 3821). Longitudinal latent class analyses generated cognitive and wealth trajectories, independently, and multinomial logistic regressions estimated the association between cognitive trajectories and wealth profiles, overall and by median income. Results: We identified three cognitive: cognitively healthy (CH), increasing cognitive impairment (ICI), and increasing dementia (ID) and four wealth profiles: stable wealth loss (SWL), delayed gradual wealth loss (DGWL), stable wealth gain (SWG), and gradual wealth gain (GWG). The ID group had higher probability of being in the SWL group and lower probability of SWG, which was more pronounced in respondents with greater median income. Discussion: Individuals with ID may be vulnerable to wealth loss, particularly for middle-class households.

A dynamic online nomogram for predicting the heterogeneity trajectories of frailty among elderly gastric cancer survivors

BackgroundFrailty is very common among older people with gastric cancer and seriously affects their prognosis. The development of frailty is continuous and dynamic, increasing the difficulty and burden of care. ObjectivesThe aims of this study were to delineate the developmental trajectory of frailty in older people with gastric cancer 1 year after surgery, identify heterogeneous frailty trajectories, and further explore their predictors to construct a nomogram for prediction. DesignWe conducted a prospective longitudinal observation study. Clinical evaluation and data collection were performed at discharge, and at 1, 3, 6, and 12 months. Setting and participantsThis study was conducted in a tertiary hospital and 381 gastric cancer patients over 60 years who underwent radical gastrectomy completed the 1-year follow-up. MethodsA growth mixture model (GMM) was used to delineate the frailty trajectories, and identify heterogeneous trajectories. A regression model was performed to determine their predictors and further construct a nomogram based on the predictors. Bootstrap with 1000 resamples was used for internal validation of nomogram, a receiver operating characteristic (ROC) curve to evaluate discrimination, calibration curves to evaluate calibration and decision curve analysis (DCA) to evaluate the clinical value. ResultsGMM identified three classes of frailty trajectories: “frailty improving”, “frailty persisting” and “frailty deteriorating”. The latter two were referred to as heterogeneous frailty trajectories. Regression analysis showed 8 independent predictors of heterogeneous frailty trajectories and a nomogram was constructed based on these predictors. The area under ROC curve (AUC) of the nomogram was 0.731 (95 % CI = 0.679–0.781), the calibration curves demonstrated that probabilities predicted by the nomogram agreed well with the actual observation with a mean absolute error of 0.025, and the DCA of nomogram indicated that the net benefits were higher than that of the other eight single factors. ConclusionsOlder gastric cancer patients have heterogeneous frailty trajectories of poor prognosis during one-year postoperative survival. Therefore, early assessment to predict the occurrence of heterogeneous frailty trajectories is essential to improve the outcomes of elderly gastric cancer patients. Scientific and effective frailty interventions should be further explored in the future to improve the prognosis of older gastric cancer patients. Contribution of the paper statementsThis study constructed a static and dynamic online nomogram with good discrimination and calibration, which can help to screen high-risk patients, implement preoperative risk stratification easily and promote the rational allocation of medical resources greatly. RegistrationClinicalTrials.gov (Number: NCT05982899). Tweetable abstractOur findings identified three frailty trajectories and constructed a nomogram to implement preoperative risk stratification and improve patient outcomes.

School-Based Intervention for Adolescents With ADHD: Predictors of Effects on Academic, Behavioral, and Social Functioning

Adolescents with attention-deficit/hyperactivity disorder (ADHD) experience significant academic, behavioral, and social skill difficulties including underachievement, risk for school dropout, poor peer relations, and emotion dysregulation. Although stimulant medication reduces ADHD symptoms, psychosocial and educational interventions are necessary to address functional impairments. We examined the nature and predictors of academic, behavioral, and social skills trajectories in response to multicomponent organizational and interpersonal skills training in 92 high school students with ADHD. Latent trajectory class analyses revealed positive treatment response ranging from 61.5% (report card grades) to 100% (inattention symptoms, organizational skills, social skills). Organizational skill and academic grade treatment response trajectories were predicted by assigned sex, pretreatment anxiety, and treatment dosage, while improvement in behavioral and social functioning was associated with better emotion regulation and family relations prior to treatment along with stronger working alliance with treatment coach at midtreatment. Multicomponent organizational and interpersonal skills training appears effective for most high school students with ADHD and the degree treatment-induced change is associated with multiple malleable factors can be leveraged to enhance intervention response.

Variation in symptoms of common mental disorders in the general population during the COVID-19 pandemic: longitudinal cohort study.

A significant rise in mental health disorders was expected during the COVID-19 pandemic. However, referrals to mental health services dropped for several months before rising to pre-pandemic levels. To identify trajectories of incidence and risk factors for common mental disorders among the general population during 14 months of the COVID-19 pandemic, to inform potential mental health service needs. A cohort of 33 703 adults in England in the University College London COVID-19 Social Study provided data from March 2020 to May 2021. Growth mixture modelling was used to identify trajectories based on the probability of participants reporting symptoms of depression (Patient Health Questionnaire-9) or anxiety (Generalised Anxiety Disorder-7) in the clinical range, for each month. Sociodemographic and personality-related characteristics associated with each trajectory class were explored. Five trajectory classes were identified for depression and anxiety. Participants in the largest class (62%) were very unlikely to report clinically significant symptom levels. Other trajectories represented participants with a high likelihood of clinically significant symptoms throughout, early clinically significant symptoms that reduced over time, clinically significant symptoms that emerged as the pandemic unfolded and a moderate likelihood of clinically significant symptoms throughout. Females, younger adults, carers, those with existing mental health diagnoses, those that socialised frequently pre-pandemic and those with higher neuroticism scores were more likely to experience depression or anxiety. Nearly 40% of participants followed trajectories indicating risk of clinically significant symptoms of depression or anxiety. The identified risk factors could inform public health interventions to target individuals at risk in future health emergencies.

Revisiting functioning recovery in persons with spinal cord injury undergoing first rehabilitation: Trajectory and network analysis of a Swiss cohort study.

Information about an individual's functioning and its longitudinal development is key to informing clinical rehabilitation. However, the description and understanding of the detailed longitudinal course of functioning, i.e., functioning trajectories, is rare in the current SCI literature. The aim of this study was to re-estimate previously identified functioning trajectories of individuals with spinal cord injury (SCI) undergoing initial rehabilitation in Switzerland using trajectory analysis, and to identify highly influential functioning domains that could become trajectory-specific targets for clinical interventions using network analysis. The study was based on data from the Swiss SCI Cohort Study and included individuals with SCI (N = 1099) who completed their rehabilitation in one of four collaborating centers between May 2013 and March 2022. For the trajectory analysis, functioning was operationalized using the total sum score of the Spinal Cord Independence Measure version III (SICM III), which was assessed at up to four time points (T1-T4) during rehabilitation. For the network analysis, individual SCIM III items were used to operationalize relevant functioning problems at T1 (admission) and T4 (discharge). The re-estimation of trajectory analysis confirmed the previously identified mean functioning trajectory classes of stable high functioning (N = 239; 21.75%), early (N = 33; 3.00%), moderate (N = 753; 68.52%), and slow (N = 74; 6.73%) functioning improvement. The network analysis revealed highly connected functioning problems at T1 for the moderate functioning improvement class, including "Feeding", "Dressing upper body", and "Dressing lower body", "Mobility in bed", and "Use of toilet". These functioning domains might indicate potential trajectory-specific targets for clinical interventions. This study has increased our knowledge about functioning trajectories of individuals with SCI undergoing initial rehabilitation in Switzerland and its findings may inform discussions about the application and use of functioning trajectories in clinical practice. Due to the exploratory nature of this study, further research is needed to confirm the findings presented.

Insomnia is more likely to persist than remit after a time of stress and uncertainty: a longitudinal cohort study examining trajectories and predictors of insomnia symptoms.

The study aimed to characterize insomnia symptom trajectories over 12 months during a time of stress and uncertainty, the coronavirus disease 2019 (COVID-19) pandemic. It also aimed to investigate sleep and psychological predictors of persistent insomnia symptoms. This longitudinal cohort study comprised 2069 participants with and without insomnia symptoms during the first year of the pandemic. Participants completed online surveys investigating sleep, insomnia, and mental health at four timepoints over 12 months (April 2020-May 2021). Additional trait-level cognitive/psychological questionnaires were administered at 3 months only. Six distinct classes of insomnia symptoms emerged: (1) severe persistent insomnia symptoms (21.65%), (2) moderate persistent insomnia symptoms (32.62%), (3) persistent good sleep (32.82%), (4) severe insomnia symptoms at baseline but remitting over time (2.27%), (5) moderate insomnia symptoms at baseline but remitting over time (7.78%), and (6) good sleep at baseline but deteriorating into insomnia symptoms over time (2.85%). Persistent insomnia trajectories were predicted by high levels of sleep reactivity, sleep effort, pre-sleep cognitive arousal, and depressive symptoms at baseline. A combination of high sleep reactivity and sleep effort reduced the odds of insomnia remitting. Higher sleep reactivity also predicted the deterioration of good sleep into insomnia symptoms over 12 months. Lastly, intolerance of uncertainty emerged as the only trait-level cognitive/psychological predictor of insomnia trajectory classes. Insomnia was more likely to persist than remit over the first year of the COVID-19 pandemic. Addressing sleep reactivity and sleep effort appears critical for reducing insomnia persistence rates after times of stress and uncertainty.

Is the change in longitudinal cognitive function in older adults with diabetes affected by trajectory classes of depressive symptoms?

This study aims to identify classes based on the trajectory of depressive symptoms and to examine the impact of trajectory classes of depressive symptoms on longitudinal changes in cognitive function in older adults with diabetes. This is a secondary data analysis of 572 older adults with diabetes using data from the 5th (2014) to 8th (2020) wave of the Korean longitudinal study of aging. Analysis of latent class growth and the effect of trajectories of depressive symptoms on cognitive function was examined using a latent growth curve model. This analysis has been found to be functional in change trajectories and in describing the direction of the trajectory. The trajectory of depressive symptoms was classified into four classes: low-stable (36.89%), high-decreasing (20.28%), low-increasing (18.71%), and high-persistent (24.13%). Compared with the high-persistent class, higher initial levels of cognitive function were observed in the high-decreasing and low-stable classes. Compared with the high-persistent class, a slower rate of cognitive decline was observed in the low-stable class (B=0.410, p=.021). Continuous monitoring of depressive symptoms and early management of depressive symptoms for community-dwelling older adults with diabetes can help prevent the cognitive decline and delay the deterioration of cognitive function.

Physical health and function trajectories in adults with cancer: psychosocial predictors of class membership.

To prospectively examine different trajectories of recovery, across different aspects of physical health and function and to examine trajectory class membership. This prospective study enrolled 569 recently diagnosed adult cancer patients (Mage = 58.7) between 2019 and 2022 identified through the Rapid Case Ascertainment resource of The Yale Cancer Center. Patients were diagnosed with breast (63.8%), prostate (25.3%), or colorectal cancer (10.9%) within six-months of baseline assessment. Participants completed comprehensive psychosocial and health survey measures (SF-12) through REDCap at five time points. Growth mixture modeling examined unconditional distinct trajectories for four aspects of physical health and function. We fit logistic regression and multinomial logistic regression models to estimate associations between psychosocial predictors of trajectory class membership for each of the four aspects. We identified distinct trajectories of physical health and function. Over one-third (38.4%) of the sample experienced low and declining scores in their ability to accomplish work/regular daily activities due to physical health. Over half (54.9%) demonstrate moderately stable general health with no improvement over time. A small but significant subset of the sample (3%, 5.7%, 5%) was in the moderate and declining groups with sharp decline in physical function, bodily pain, and general health, after treatment. Different predictors of trajectory class membership were also found. Our results showed heterogeneity in physical health and function trajectories and different patterns of predictors for each aspect of physical health and function. Findings have the potential to inform screening and intervention efforts to help those who may need additional support.

Eat healthy, feel better: Are differences in employees' longitudinal healthy-eating trajectories reflected in better psychological well-being?

Eating healthily in terms of fruit and vegetable consumption has beneficial effects for employees and their organisations. Yet, we know little about how employees' eating behaviour develops over longer periods of time (trajectories) as well as about how subgroups of employees in these trajectories differ (trajectory classes). Gaining such insights is critical to understand how employees address healthy eating recommendations over time as well as to develop individualised interventions that also consider the development of healthy eating (i.e. improvement versus impairment beyond mean levels). We analysed panel data (Longitudinal Internet Studies for the Social Sciences) from 1054 employees by means of growth mixture modelling. Our analyses revealed three relevant classes of healthy-eating trajectories: a favourable trajectory class, an unfavourable trajectory class and a strongly improving trajectory class. Furthermore, unfavourable healthy-eating trajectories were especially critical with respect to impaired psychological well-being. Specifically, we found robust results for impaired positive and negative affects, but not for self-esteem, in the unfavourable trajectory class. We discuss limitations and implications of these findings, thereby encouraging research and practice to further consider such fine-grained approaches (i.e. focusing on subgroups within a larger population) when addressing healthy-eating promotion over time.

Histologic and Clinical Factors Associated with Kidney Outcomes in IgA Vasculitis Nephritis.

Nephritis is a common manifestation of IgA vasculitis and is morphologically indistinguishable from IgA nephropathy. While MEST-C scores are predictive of kidney outcomes in IgA nephropathy, their value in IgA vasculitis nephritis has not been investigated in large multiethnic cohorts. Biopsies from 262 children and 99 adults with IgA vasculitis nephritis ( N =361) from 23 centers in North America, Europe, and Asia were independently scored by three pathologists. MEST-C scores were assessed for correlation with eGFR/proteinuria at biopsy. Because most patients ( N =309, 86%) received immunosuppression, risk factors for outcomes were evaluated in this group using latent class mixed models to identify classes of eGFR trajectories over a median follow-up of 2.7 years (interquartile range, 1.2-5.1). Clinical and histologic parameters associated with each class were determined using logistic regression. M, E, T, and C scores were correlated with either eGFR or proteinuria at biopsy. Two classes were identified by latent class mixed model, one with initial improvement in eGFR followed by a late decline (class 1, N =91) and another with stable eGFR (class 2, N =218). Class 1 was associated with a higher risk of an established kidney outcome (time to ≥30% decline in eGFR or kidney failure; hazard ratio, 5.84; 95% confidence interval, 2.37 to 14.4). Among MEST-C scores, only E1 was associated with class 1 by multivariable analysis. Other factors associated with class 1 were age 18 years and younger, male sex, lower eGFR at biopsy, and extrarenal noncutaneous disease. Fibrous crescents without active changes were associated with class 2. Kidney outcome in patients with biopsied IgA vasculitis nephritis treated with immunosuppression was determined by clinical risk factors and endocapillary hypercellularity (E1) and fibrous crescents, which are features that are not part of the International Study of Diseases of Children classification.

Identification of four latent classes of acute respiratory distress syndrome using PaO2/FIO2 ratio: an observational cohort study

Biological phenotypes in patients with the acute respiratory distress syndrome (ARDS) have previously been described. We hypothesized that the trajectory of PaO2/FIO2 ratio could be used to identify phenotypes of ARDS. We used a retrospective cohort analysis of an ARDS database to identify latent classes in the trajectory of PaO2/FIO2 ratio over time. We included all adult patients admitted to an intensive care unit who met the Berlin criteria for ARDS over a 4-year period in tertiary adult intensive care units in Manitoba, Canada. Baseline demographics were collected along with the daily PaO2/FIO2 ratio collected on admission and on days 1–7, 14 and 28. We used joint growth mixture modeling to test whether ARDS patients exhibit distinct phenotypes with respect to both longitudinal PaO2/FIO2 ratio and survival. The resulting latent classes were compared on several demographic variables. In our study group of 209 patients, we found that four latent trajectory classes of PaO2/FIO2 ratio was optimal. These four classes differed in their baseline PaO2/FIO2 ratio and their trajectory of improvement during the 28 days of the study. Despite similar baseline characteristics the hazard for death for the classes differed over time. This difference was largely driven by withdrawal of life sustaining therapy in one of the classes. Latent classes were identified in the trajectory of the PaO2/FIO2 ratio over time, suggesting the presence of different ARDS phenotypes. Future studies should confirm the existence of this finding and determine the cause of mortality differences between classes.

Personal and illness identity in youth with type 1 diabetes: Developmental trajectories and associations.

Having Type 1 diabetes (T1D) may complicate the normative developmental task of personal identity formation in adolescence and emerging adulthood. Besides exploring and committing to identity choices in different life domains, youth with T1D need to integrate their illness into their identity, a process labeled as illness identity. The present study examined whether youth with T1D belonging to different personal identity trajectory classes developed differently on four illness identity dimensions (acceptance, enrichment, engulfment, rejection). This four-wave longitudinal study over a 3-year period used self-report questionnaires to examine how personal identity trajectory classes were related to illness identity over time in youth with T1D (baseline: n = 558; 54% female; age range = 14-25 years). Personal identity trajectory classes were identified using latent class growth analysis. Differential development of the four illness identity dimensions among these personal identity trajectory classes was examined using multigroup latent growth curve modeling. Five personal identity trajectory classes were identified: achievement, foreclosure, moratorium, carefree diffusion, and troubled diffusion. Individuals in achievement and foreclosure displayed highest levels of diabetes integration (i.e., high levels of acceptance and enrichment; low levels of engulfment and rejection), whereas individuals in troubled diffusion displayed lowest levels of illness integration (i.e., low levels of acceptance and enrichment; high levels of engulfment and rejection). The present study confirms that personal identity development relates to illness identity development over time in youth with T1D. Understanding the intricate link between personal and illness identity may help clinicians to tailor their interventions to patients' individual needs. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Latent classes of symptom trajectories among major depressive disorder patients in China

ObjectiveThis study aimed to understand the long-term symptom trajectories of Chinese patients with major depressive disorder (MDD) using piecewise latent growth modeling and growth mixture modeling. The investigation also aimed to identify the baseline characteristics indicative of poorer treatment outcomes. MethodsA total of 558 outpatients with MDD were assessed using a sequence of surveys. The Hamilton Rating Scale for Depression (HRSD), Hamilton Anxiety Rating Scale (HAMA), and Measurement and Treatment Research to Improve Cognition in Schizophrenia (MATRICS) Consensus Cognitive Battery (MCCB) were used to evaluate baseline depression, anxiety, and cognitive function. Depression symptom severity was subsequently measured at the 1-month, 2-month, 6-month, 1-year, and 2-year follow-ups. ResultsResults indicated three depressive symptomology trajectories, including (a) severe, improving class (12.72 %), (b) partially responding, later deteriorating class (6.09 %), and (c) moderate, improving class (81.18 %). Logistic regression analyses showed that a history of cardiovascular disease (CVD) increased the odds of belonging to the partially responding, later deteriorating class, whereas higher baseline depression increased the odds of belonging to the severe, improving class compared to the moderate, improving class. Patients who experienced less depression relief during the first month of treatment had a lower probability of belonging to the moderate, improving class. LimitationsParticipant attrition in this study may have inflated the estimated rate of treatment-resistant patients. ConclusionsThe burden of CVD and poorer initial treatment response are plausible risk factors for poorer treatment outcomes, highlighting targets for intervention in Chinese MDD patients.

Disease activity trajectories in juvenile dermatomyositis from childhood to adulthood.

To assess whether there are identifiable subgroups of disease activity trajectory in a population of JDM patients-followed throughout childhood and into adulthood-and determine factors that predict those trajectory groupings. This is a retrospective, longitudinal inception cohort of patients with idiopathic inflammatory myopathies, largely JDM. We sought to identify baseline factors that predict membership into different groups (latent classes) of disease activity trajectory. A total of 172 patients (64% females), with median age at diagnosis of 7.7 years, were analysed. We studied 4725 visits (1471 patient-years). We identified three latent classes of longitudinal disease activity, as measured by the modified DAS (DASm), with distinct class trajectories predicted by DASm at baseline, and by the changes of DASm from either baseline to 3 months or baseline to 6 months (early response to therapy). In the analysis in which DASm at baseline and the changes of DASm from baseline to 6 months are included as predictors, Class 1 (10%) has persistently high disease activity, Class 2 (34%) is characterized by moderate disease activity and Class 3 (56%) is characterized by individuals with a high early disease activity but an apparently good response to treatment and long-term low disease activity. High early disease activity, and treatment resistance in the first few months, predict a more chronic longitudinal course of JDM.

Trajectories of health conditions and their associations with the risk of cognitive impairment among older adults: insights from a national prospective cohort study

BackgroundThe associations between trajectories of different health conditions and cognitive impairment among older adults were unknown. Our cohort study aimed to investigate the impact of various trajectories, including sleep disturbances, depressive symptoms, functional limitations, and multimorbidity, on the subsequent risk of cognitive impairment.MethodsWe conducted a prospective cohort study by using eight waves of national data from the Health and Retirement Study (HRS 2002–2018), involving 4319 adults aged 60 years or older in the USA. Sleep disturbances and depressive symptoms were measured using the Jenkins Sleep Scale and the Centers for Epidemiologic Research Depression (CES-D) scale, respectively. Functional limitations were assessed using activities of daily living (ADLs) and instrumental activities of daily living (IADLs), respectively. Multimorbidity status was assessed by self-reporting physician-diagnosed diseases. We identified 8-year trajectories at four examinations from 2002 to 2010 using latent class trajectory modeling. We screened participants for cognitive impairment using the 27-point HRS cognitive scale from 2010 to 2018 across four subsequent waves. We calculated hazard ratios (HR) using Cox proportional hazard models.ResultsDuring 25,914 person-years, 1230 participants developed cognitive impairment. In the fully adjusted model 3, the trajectories of sleep disturbances and ADLs limitations were not associated with the risk of cognitive impairment. Compared to the low trajectory, we found that the increasing trajectory of depressive symptoms (HR = 1.39; 95% CI = 1.17–1.65), the increasing trajectory of IADLs limitations (HR = 1.88; 95% CI = 1.43–2.46), and the high trajectory of multimorbidity status (HR = 1.48; 95% CI = 1.16–1.88) all posed an elevated risk of cognitive impairment. The increasing trajectory of IADLs limitations was associated with a higher risk of cognitive impairment among older adults living in urban areas (HR = 2.30; 95% CI = 1.65–3.21) and those who smoked (HR = 2.77; 95% CI = 1.91–4.02) (all P for interaction < 0.05).ConclusionsThe results suggest that tracking trajectories of depressive symptoms, instrumental functioning limitations, and multimorbidity status may be a potential and feasible screening method for identifying older adults at risk of cognitive impairment.

Association of Epigenetic Age and Everyday Discrimination With Longitudinal Trajectories of Chronic Health Conditions in Older Adults.

We investigated the strength of the association between baseline epigenetic age, everyday discrimination, and trajectories of chronic health conditions (CHCs) across 3 study waves, among adults 50 years of age and older. We used 2016-2020 data from the Health and Retirement Study (HRS). Data for the PhenoAge and DNAm GrimAge second-generation epigenetic clocks were from the 2016 HRS Venous Blood Study. CHC trajectories were constructed using latent class growth curve models. Multinomial logistic regression models assessed the strength of the association between accelerated epigenetic age, everyday discrimination, and the newly constructed CHC trajectories for participants with complete data (n = 2893). In the fully adjusted model, accelerated PhenoAge (relative risk ratios [RRR] = 2.53, 95% confidence interval [95% CI] = 1.81, 3.55) and DNAm GrimAge (RRR = 2.79, 95% CI = 1.95, 4.00) were associated with classification into the high CHC trajectory class. Racial disparities were evident, with increased risk of classification into the high trajectory class for Black (PhenoAge: RRR = 1.69, 95% CI = 1.07, 2.68) and reduced risk for Hispanic (PhenoAge: RRR = 0.32, 95% CI = 0.16, 0.64; DNAm GrimAge: RRR = 0.34, 95% CI = 0.17, 0.68), relative to White participants. Everyday discrimination was associated with classification into the medium-high (RRR = 1.28, 95% CI = 1.00, 1.64) and high (RRR = 1.52, 95% CI = 1.07, 2.16) trajectory classes in models assessing DNAm GrimAge. More research is needed to better understand the longitudinal health outcomes of accelerated aging and adverse social exposures. Such research may provide insights into vulnerable adults who may need varied welfare supports earlier than the mandated chronological age for access to federal and state resources.

Dynamic increase in myoglobin level is associated with poor prognosis in critically ill patients: a retrospective cohort study.

Myoglobin is an important biomarker for monitoring critically ill patients. However, the relationship between its dynamic changes and prognosis remains unclear. We retrospectively enrolled 11,218 critically ill patients from a general and surgical intensive care unit (ICU) of a tertiary hospital between June 2016 and May 2020. Patients with acute cardiovascular events, cardiac and major vascular surgeries, and rhabdomyolysis were excluded. To investigate the early myoglobin distribution, the critically ill patients were stratified according to the highest myoglobin level within 48 h after ICU admission. Based on this, the critically ill patients with more than three measurements within 1 week after ICU admission were included, and latent class trajectory modeling was used to classify the patients. The characteristics and outcomes were compared among groups. Sensitivity analysis was performed to exclude patients who had died within 72 h after ICU admission. Restricted mean survival time regression model based on pseudo values was used to determine the 28-day relative changes in survival time among latent classes. The primary outcome was evaluated with comparison of in-hospital mortality among each Trajectory group, and the secondary outcome was 28-day mortality. Of 6,872 critically ill patients, 3,886 (56.5%) had an elevated myoglobin level (≥150 ng/mL) at admission to ICU, and the in-hospital mortality significantly increased when myoglobin level exceeded 1,000 μg/mL. In LCTM, 2,448 patients were unsupervisedly divided into four groups, including the steady group (n = 1,606, 65.6%), the gradually decreasing group (n = 523, 21.4%), the slowly rising group (n = 272, 11.1%), and the rapidly rising group (n = 47, 1.9%). The rapidly rising group had the largest proportion of sepsis (59.6%), the highest median Sequential Organ Failure Assessment (SOFA) score (10), and the highest in-hospital mortality (74.5%). Sensitivity analysis confirmed that 98.2% of the patients were classified into the same group as in the original model. Compared with the steady group, the rapidly rising group and the slowly rising group were significantly related to the reduction in 28-day survival time (β = -12.08; 95% CI -15.30 to -8.86; β = -4.25, 95% CI -5.54 to -2.97, respectively). Elevated myoglobin level is common in critically ill patients admitted to the ICU. Dynamic monitoring of myoglobin levels offers benefit for the prognosis assessment of critically ill patients.