Classes Of Symptoms Research Articles

Depression symptoms are associated with demographic characteristics, nutritional status, and social support among young adults in Chile: a latent class analysis

BackgroundDepressive disorders are a critical public health concern in Chile. Nonetheless, there is a lack of evidence regarding the identification of depressive symptom clusters. The objective was to identify depressive symptom clusters among Chilean young adults and examine how demographic, and lifestyle factors as well as social support can influence and predict them.MethodsCross-sectional study conducted among 1,000 participants from the Limache cohort 2. A latent class analysis (LCA) was performed to identify depressive symptom clusters, using the Patient Health Questionnaire (PHQ-9). Multinomial logistic regression was then applied to explore the associations between identified classes and potential predictors. The models were adjusted by age and sex.ResultsThree latent classes of depressive symptoms were identified: minimal (25.7%); somatic (50.7%) and severe (23.6%). In the severe class for eight out nine depressive symptoms the probabilities were above 50%, and the probability of suicidal ideation was almost a third in this class. Being female (Adjusted Odds ratio [AOR], 2.49; 95% confidence interval [CI] [1.63–3.81]), current smoker (AOR, 1.74; 95% CI [1.15–2.65]), having basic education (AOR, 3.12; 95% CI [1.30–7.53]) and obesity (AOR, 2.72; 95% CI [1.61–4.59]) significantly increased the likelihood of belonging to severe class. Higher social support decreased the odds of being in the somatic (OR, 0.96; 95% CI [0.93–0.98]) and severe (OR, 0.92; 95% CI [0.90–0.94]) classes.ConclusionsThese findings highlight the importance of individualized intervention strategies for depression management. Also, the study suggests that nutritional status and social support should be considered when addressing depression in this population.

COVID-19 Symptoms and Mental Health Outcomes among Italian Healthcare Workers: A Latent Class Analysis.

The COVID-19 pandemic has led to long-lasting consequences for workers leading to what has been termed a "psychological pandemic". Some categories, such as healthcare workers (HCWs), are considered high risk due to factors such as increased exposure and stressful working conditions. In this study, we investigate whether levels of posttraumatic stress symptoms and COVID-19-related fear (IES-6 and PSI-4) are associated with illness severity in a sample of 318 infected HCWs in Italy. To investigate the presence of different profiles of COVID-19 severity, Latent Class Analysis (LCA) was performed based on 11 symptoms. Differences in the IES-6 and PSI-4 scores across the latent classes were compared using the non-parametric Kruskal-Wallis (KW) test with Dunn's multiple comparison post hoc testing. Our analyses show that the LCA identified three classes of symptoms, reflecting no/low, mild and severe symptoms. The classes include vomiting, confusion, conjunctivitis, diarrhea, dyspnea, headache, ageusia, fever, anosmia, osteo muscle articular pain and asthenia. We found that HCWs who experienced more intense symptoms reported significantly higher IES-6 and PSI-4 scores. Moreover, we found gender-related differences in IES-6 and PSI-4 scores as females exhibited higher levels than males. Indeed, these findings are useful for developing health prevention and emergency management programs.

Identification of distinct symptom profiles in prostate cancer patients with cancer-related cognitive impairment undergoing androgen deprivation therapy: A latent class analysis

ObjectiveTo identify latent classes of cognitive impairment and co-occurring symptoms (fatigue, pain, sleep disturbance, depression) as clusters in patients with prostate cancer undergoing androgen deprivation therapy and to explore the predictors among distinct latent classes. MethodsA total of 228 patients with prostate cancer were recruited in this cross-sectional study. The assessment instrument included the Perceived Cognitive Impairment Scale, the Fatigue Severity Scale, the Athens Insomnia Scale, the Brief Pain Inventory, the Patient Health Questionnaire-9, the UCLA Loneliness Scale, the International Physical Activity Questionnaire - Short Form, the Charlson comorbidity index, and General Information questionnaire. The identification of different patient subgroups was done by the latent class analysis. ResultsThe study identified three distinct latent classes: all low symptoms (class 1, 32%), high depression symptoms (class 2, 37.7%), and high physical symptoms (fatigue, sleep disturbance, and pain) with high cognitive impairment (class 3, 30.3%). Patients who had higher Charlson comorbidity index (P = 0.003) scores were more likely to be classified in class 3. Patients with higher loneliness scores (P < 0.001; P < 0.001) were significantly more likely to fall into class two or three than in class 1. However, having a higher level of physical activity (P = 0.014; P < 0.001) increased the likelihood of being in class 1. ConclusionsThis study exhibited the inter-individual variability of symptom experience in prostate cancer patients with cognitive impairment undergoing androgen deprivation therapy. The result suggests that more emphasis should be placed on screening for fatigue, sleep disturbance, and pain, and future interventions should focus on loneliness and physical activity.

Exploring transdiagnostic stress and trauma-related symptoms across the world: a latent class analysis

ABSTRACT Background: Although trauma exposure is universally prevalent, the ways in which individuals respond to potentially traumatic events vary. Between-country differences have been identified as affecting the development and manifestation of transdiagnostic psychological symptoms, but it remains unclear how stress and trauma-related transdiagnostic symptoms and risk patterns differ based on geographic region. Objective: To explore whether there are distinct classes of stress and trauma-related transdiagnostic symptoms and to determine predictors of class membership in a global sample. Method: Participants (N = 8675) from 115 different countries were recruited online between 2020–2022 and completed the Global Psychotrauma Screen, which assesses stress and trauma exposure, related symptoms, and risk factors. A latent class analysis (LCA) was used to identify classes of stress and trauma-related symptoms per world region (African States, Asia-Pacific States, Eastern European States, Latin American and Caribbean States, Western European and Other States, and North America) and the total sample. Likelihood of class membership was assessed based on demographics, characteristics of the potentially traumatic event, and potential risk factors across the world regions. Results: Similar class compositions were observed across regions. A joint latent class analysis identified three classes that differed by symptom severity (i.e. high, moderate, low). Multinomial logistic regression analyses revealed several factors that conferred greater risk for experiencing higher levels of symptoms, including geographic region, gender, and lack of social support, among others. Conclusions: Stress and trauma-related symptoms seem to be similarly transdiagnostic across the world, supporting the value of a transdiagnostic assessment.

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.

Depressive Symptoms in Young and Middle-Aged Stroke Patients: A Transition Analysis.

There is heterogeneity in depressive symptoms. However, latent classes of depressive symptoms and the transition and influences of these in young and middle-aged stroke patients are unclear. The aim of this study was to identify the latent classes of depressive symptoms and their transition patterns over time and the influencing factors in young and middle-aged stroke patients from stabilization to 6 months after discharge. This is a longitudinal study following the Strengthening the Reporting of Observational Studies in Epidemiology checklist. A total of 272 young and middle-aged stroke participants were recruited from a hospital neurology ward in Henan Province, China. Participants completed a questionnaire on sociodemographic and health information. Latent transition analysis was used to evaluate the transition pattern of latent classes from stabilization to 6 months after discharge and its influencing factors. One hundred seventy-nine participants were included in the analysis. Three latent classes of depressive symptoms were identified as "mild symptoms," "grief-sleep-fatigue symptoms," and "severe symptoms." Most participants remained in the original latent class from stabilization to 6 months after discharge (probability of 83.8%, 83.8%, and 88.8%). From 3 to 6 months after discharge, the participants with fewer complications were more likely to transition into the mild symptom class. The findings indicate that from stabilization to 6 months after discharge, depressive symptoms in young and middle-aged stroke patients in China transitioned gradually from the severe symptom class to the mild symptom. Patients with fewer numbers of poststroke complications were more likely to transition to the mild symptoms class. Future research should focus on depressive symptoms in early-stage stroke patients and provide sufficient psychological support to patients with a high number of complications.

Classification of post COVID-19 condition symptoms: a longitudinal study in the Belgian population

ObjectivesSince the onset of the COVID-19 pandemic, most research has focused on its acute pathophysiology, yet some people tend to experience persisting symptoms beyond the acute phase of infection, referred...

Trajectories of depression symptoms, anxiety symptoms and functional impairment during internet-enabled cognitive-behavioural therapy

Underlying classes capture differences between patient symptom trajectories during psychological therapy. This has not been explored for one-to-one internet-delivered therapy or functional impairment trajectories.Patients experiencing depression or anxiety received cognitive-behavioural therapy with a therapist using an online chat platform (N = 52,029). Trajectory classes of depression symptoms (PHQ9), anxiety symptoms (GAD7) and functional impairment (WSAS) were investigated using growth mixture modelling. Multinomial regressions tested associations between baseline variables and trajectory class.A four-class trajectory model was selected for each outcome, and these were highly similar. Each outcome showed three classes with initially moderate-severe symptoms or impairment: one demonstrated no change, one gradual improvement and one fast improvement. A fourth class had mild baseline scores and minimal improvement. In the moderate-severe classes, patients in the two with improvement were more likely to be employed and not to have obsessive-compulsive disorder. Fast improvement was likelier than gradual improvement or no change for patients with older age, no disability (e.g., physical, learning), or lower comorbid symptom or impairment scores. Associations with functional impairment classes were more similar to associations with depression classes than anxiety classes. Results were largely consistent with findings from face-to-face therapy. This study is an important step towards personalising therapy in terms of suitability and continuation.

Subgroups of depressive symptoms in Korean police officers: A latent class analysis

The prevalence of depressive symptoms is common among police officers; however, studies that identify the patterns of depressive symptoms in police officers and occupational characteristics related to the specific subgroups of depressive symptoms are scarce. A total of 493 police officers in South Korea participated in this descriptive cross-sectional study between October and December 2019. Depressive symptoms were measured using the Patient Health Questionnaire-9. Latent class analysis was used to identify the subgroups of depressive symptoms. To identify the characteristics and predictors of the subgroup, χ2 tests, analysis of variance, and multinomial logistic regression analysis were performed. Four latent classes of depressive symptoms were identified: “at-risk” (10.8%), “anhedonic” (21.5%), “somatic” (17.2%), and “minimal” (50.5%). Compared to the minimal group, drinking behaviors were higher in the at-risk group (odds ratio [OR] = 1.10, 95% confidence interval [CI] [1.03, 1.11]), and working hours were greater in the somatic group (OR = 1.01, 95% CI [1.00, 1.02]). Additionally, sleep quality (OR = 1.35, 95% CI [0.82, 2.22]) and fatigue (OR = 1.02, 95% CI [1.00, 1.04]) were found to be related in the anhedonic group. This study identified the heterogeneity of depressive symptoms among police officers. It is necessary to accurately identify the factors associated with the depression subgroups of police officers to develop support strategies and prevent an increase in their depression severity. The association between risk factors such as working hours and drinking behaviors might inform strategies to reduce depression in police offers.

Insights into the Mechanism of Action of Antipsychotic Drugs Derived from Animal Models: Standard of Care versus Novel Targets.

Therapeutic intervention for schizophrenia relies on blockade of dopamine D2 receptors in the associative striatum; however, there is little evidence for baseline overdrive of the dopamine system. Instead, the dopamine system is in a hyper-responsive state due to excessive drive by the hippocampus. This causes more dopamine neurons to be in a spontaneously active, hyper-responsive state. Antipsychotic drugs alleviate this by causing depolarization block, or excessive depolarization-induced dopamine neuron inactivation. Indeed, both first- and second-generation antipsychotic drugs cause depolarization block in the ventral tegmentum to relieve positive symptoms, whereas first-generation drugs also cause depolarization in the nigrostriatal dopamine system to lead to extrapyramidal side effects. However, by blocking dopamine receptors, these drugs are activating multiple synapses downstream from the proposed site of pathology: the loss of inhibitory influence over the hippocampus. An overactive hippocampus not only drives the dopamine-dependent positive symptoms, but via its projections to the amygdala and the neocortex can also drive negative and cognitive symptoms, respectively. On this basis, a novel class of drugs that can reverse schizophrenia at the site of pathology, i.e., the hippocampal overdrive, could be effective in alleviating all three classes of symptoms of schizophrenia while also being better tolerated.

Understanding mHealth Patient-Reported Priority Symptoms for Gynecologic Cancer During Chemotherapy: A Secondary Analysis.

To determine the percentage of and the most prevalent moderate to severe symptoms and to analyze longitudinal patterns and co-occurrence of symptoms during the first three cycles of chemotherapy. A secondary analysis of 26 women with gynecologic cancer who reported daily symptoms. Moderate to severe symptom presence and severity levels were calculated as proportions. Symptoms for each patient were graphed during three cycles and analyzed for patterns of onset, duration, and clustering. Patients completed 1,562 calls to the remote symptom monitoring system. The most commonly reported moderate to severe symptoms were pain, fatigue, and trouble sleeping. Pain and fatigue co-occurred with trouble sleeping in one symptom pattern. Patterns included no moderate to severe symptoms, moderate to severe symptoms during one cycle, moderate to severe symptoms during two cycles, and moderate to severe symptoms during all cycles. Nurses should consistently assess symptoms across cycles. To verify distinct classes of symptoms and better target interventions, further study is warranted.

Trajectories of depressive symptoms and their predictors in Chinese older population: Growth Mixture model

BackgroundGiven the rapidly rising proportion of the older population in China and the relatively high prevalence of depressive symptoms among this population, this study aimed to identify the trajectories of depressive symptoms and the factors associated with the trajectory class to gain a better understanding of the long-term course of depressive symptoms in this population.MethodsData were obtained from four wave’s survey of the China Health and Retirement Longitudinal Study (CHARLS). A total of 3646 participants who aged 60 years or older during baseline survey, and completed all follow-ups were retained in this study. Depressive symptoms were measured using the 10-item version of the Center for Epidemiologic Studies Depression Scale (CES-D-10). Growth mixture modelling (GMM) was adopted to identify the trajectory classes of depressive symptoms, and both linear and quadratic functions were considered. A multivariate logistic regression model was used to calculate the adjusted odds ratios (ORs) of the associated factors to predict the trajectory class of participants.ResultsA four-class quadratic function model was the best-fitting model for the trajectories of depressive symptoms in the older Chinese population. The four trajectories were labelled as increasing (16.70%), decreasing (12.31%), high and stable (7.30%), and low and stable (63.69%), according to their trends. Except for the low and stable trajectory, the other trajectories were almost above the threshold for depressive symptoms. The multivariate logistic regression model suggested that the trajectories of chronic depressive symptoms could be predicted by being female, living in a village (rural area), having a lower educational level, and having chronic diseases.ConclusionsThis study identified four depressive symptom trajectories in the older Chinese population and analysed the factors associated with the trajectory class. These findings can provide references for prevention and intervention to reduce the chronic course of depressive symptoms in the older Chinese population.

The association between preconception loss of control over eating and depressive symptom trajectories from childhood through first pregnancy.

Loss of control over eating (LOC) during pregnancy impacts prenatal health and often co-occurs with depressive symptoms. However, the role of depression history as a risk factor for LOC prior to pregnancy is unclear; information that is essential for effective prenatal health promotion. We examined the association between trajectories of depressive symptoms from childhood to first pregnancy and preconception LOC. Participants (N = 1031) were predominantly Black, first-time mothers enrolled in the population-based Pittsburgh Girls Study. LOC and depressive symptoms were measured annually. Pre-pregnancy height and weight, and gestational weight gain data were abstracted from medical records. There was a significant difference in age of first conception for Black and White individuals (t = 8.73, df = 976, p < .001). Latent class analysis revealed four and three classes of depressive symptom trajectories for Black and White individuals, respectively. In the entire sample, the high-changing and moderate-decreasing classes of depressive symptoms were each associated with lifetime, in preconception year and not in preconception year, LOC (X2 = 56.7, p < .001). High levels of lifetime depressive symptoms may increase vulnerability to future LOC prior to first pregnancy, suggesting potential targets for interventions to improve maternal health. Both depression history and disordered eating behaviors are known to influence prenatal health. The present study revealed associations between high levels of depressive symptoms from childhood through first pregnancy and loss of control over eating that included the year prior to conception. Results highlight potential targets for preconception interventions with relevance for future prenatal health.

Severe depressive symptoms in patients with hypertension: Are antihypertensive medications implicated?

This study examined whether antihypertensive medications and other patient characteristics are associated with severe depressive symptoms in a patient with hypertension. Patients with a diagnosis of hypertension were recruited from the internal medicine outpatient clinics of a hospital in Amman, Jordan, into this cross-sectional study. Depression severity was assessed using the Patient Health Questionnaire-9 (PHQ-9); anxiety by the General Anxiety Disorder-7; sleep quality by the Insomnia Severity Index; and psychological stress by the Perceived Stress Scale. Multivariable binary logistic regression was used to examine the association between the different classes of antihypertensive medication and depressive symptoms. Of the 431 participants, 282 (65.4%) were men; 240 (55.7%) reported having type 2 diabetes; 359 (83.3%) had dyslipidemia; 142 (32.9%) were on beta-blockers; 197 (45.2%) were on ACE inhibitors or angiotensin receptor blockers; 203 (47.1%) were on metformin; and 133 (30.9%) were taking sulfonylurea. Severe depressive symptoms, indicated by scoring above the cut-off of 14 on the PHQ-9, was present in 165 (38.3%) patients. Severe depression was associated with younger age (<55years) (OR = 3.15, 95% CI = 1.829-5.41, P < 0.001), unemployment (OR = 2.15, 95% CI = 1.15-4.00, P = 0.01), diabetes (OR = 1.81, 95% CI = 1.09-3.02, P = 0.02), severe anxiety (OR = 6.40, 95% CI = 3.64-11.28, P < 0.001), and severe insomnia (OR = 4.73, 95% CI = 2.85-7.82, P < 0.001). Severe depressive symptoms were not associated with antihypertensive medications or other drugs used by hypertensive patients. Instead, age, diabetes, anxiety, and insomnia were the primary correlates of depression.

Latent class analysis of post-traumatic stress disorder symptoms following exposure to Hurricane Ike

BackgroundThere is substantial heterogeneity in how people react to potentially traumatic events (PTEs). Although some literature has explored this heterogeneity, there are only a few studies identifying factors associated with it within the disaster literature. ObjectiveThe current investigation identified latent classes of post-traumatic stress disorder (PTSD) symptoms and differences between these classes after exposure to Hurricane Ike. MethodsAdults living in Galveston and Chambers County, Texas, (n = 658) completed a battery of measures during an interview conducted two to five months after Hurricane Ike. Latent class analysis (LCA) was performed to identify latent classes of PTSD symptoms. Additionally, gender, age, racial or ethnic minority status, depression severity, anxiety severity, quality of life, perceived need for services, and disaster exposure were examined to explore class differences. ResultsLCA supported a 3-class model with low (n = 407, 61.9%), moderate (n = 191, 29.0%), and high PTSD symptoms (n = 60, 9.1%). Women appeared most at-risk for a moderate-severity presentation as compared to a low-severity presentation. Further, racial or ethnic minority groups appeared most at-risk for a high-severity presentation as compared to a moderate-severity presentation. Overall, the high symptom class had the poorest well-being, the most perceived need for services, and the highest exposure to the disaster, followed by the moderate symptom class, and finally the low symptom class. ConclusionsPTSD symptom classes appeared to be differentiated primarily by overall severity as well as important psychological, contextual, and demographic dimensions.

The trajectories and associations of insomnia symptoms with addictive behaviours in adolescents: A two-year longitudinal study.

Insomnia displays heterogeneous trajectories across adolescence, which may induce addictive behaviours, including internet gaming disorder and substance use. This study aimed to investigate the latent trajectory classes of insomnia symptoms over 2 years and to examine the associations between insomnia trajectories and these addictive behaviours. Participants were 910 adolescents from six middle schools in Shanghai, China (52.7% males; mean age=13.17 years). The three-wave survey measured insomnia symptoms, internet gaming disorder, substance use, depressive symptoms, and sociodemographic characteristics from 7th to 9th grade. Latent class growth modelling was performed to identify the latent trajectory classes of insomnia symptoms. Then multivariable logistic regressions were conducted within the best-fitting latent class growth model to examine the associations of insomnia trajectories with internet gaming disorder and substance use. Two latent trajectory classes of insomnia symptoms were recognised: the non-insomnia group (71.8%) and the insomnia group (28.2%). In the multivariable analysis controlling for baseline demographic variables and depressive symptoms, the insomnia group had a higher risk of developing internet gaming disorder (OR=2.203 [95% CI: 1.258-3.858]) and substance use (OR=2.215 [95% CI: 1.324-3.705]) compared with the non-insomnia group. These findings add to a growing body of research on heterogeneous trajectories of insomnia symptoms during adolescence, suggesting that intervention strategies are needed to target the characteristics or developmental patterns of different insomnia subgroups. The ultimate goal is to mitigate the impact of insomnia symptoms on adolescent addictive behaviours.

Symptom patterns and health service use of women in early adulthood: a latent class analysis from the Australian Longitudinal Study on Women’s Health

BackgroundSymptoms can be strong drivers for initiating interaction with the health system, especially when they are frequent, severe or impact on daily activities. Research on symptoms often use counts of symptoms as a proxy for symptom burden, however simple counts don’t provide information on whether groups of symptoms are likely to occur together or whether such groups are associated with different types and levels of healthcare use. Women have a higher symptom burden than men; however studies of symptom patterns in young women are lacking. We aimed to characterise subgroups of women in early adulthood who experienced different symptom patterns and to compare women’s use of different types of health care across the different symptom subgroups.MethodsSurvey and linked administrative data from 7 797 women aged 22–27 years in 2017 from the 1989–95 cohort of the Australian Longitudinal Study on Women’s Health were analysed. A latent class analysis was conducted to identify subgroups of women based on the frequency of 16 symptom variables. To estimate the associations between the latent classes and health service use, we used the “Bolck, Croon and Hagenaars” (BCH) approach that takes account of classification error in the assignment of women to latent classes.ResultsFour latent classes were identified, characterised by 1) low prevalence of most symptoms (36.6%), 2) high prevalence of menstrual symptoms but low prevalence of mood symptoms (21.9%), 3) high prevalence of mood symptoms but low prevalence of menstrual symptoms, (26.2%), and high prevalence of many symptoms (15.3%). Compared to the other three classes, women in the high prevalence of many symptoms class were more likely to visit general practitioners and specialists, use more medications, and more likely to have had a hospital admission.ConclusionsWomen in young adulthood experience substantially different symptom burdens. A sizeable proportion of women experience many co-occurring symptoms across both physical and psychological domains and this high symptom burden is associated with a high level of health service use. Further follow-up of the women in our study as they enter their late 20 s and early 30 s will allow us to examine the stability of the classes of symptoms and their associations with general health and health service use. Similar studies in other populations are needed to assess the generalisability of the findings.

Trajectories of depression and anxiety symptom severity during psychological therapy for common mental health problems.

There is substantial variation in patient symptoms following psychological therapy for depression and anxiety. However, reliance on endpoint outcomes ignores additional interindividual variation during therapy. Knowing a patient's likely symptom trajectories could guide clinical decisions. We aimed to identify latent classes of patients with similar symptom trajectories over the course of psychological therapy and explore associations between baseline variables and trajectory class. Patients received high-intensity psychological treatment for common mental health problems at National Health Service Improving Access to Psychological Therapies services in South London (N = 16 258). To identify trajectories, we performed growth mixture modelling of depression and anxiety symptoms over 11 sessions. We then ran multinomial regressions to identify baseline variables associated with trajectory class membership. Trajectories of depression and anxiety symptoms were highly similar and best modelled by four classes. Three classes started with moderate-severe symptoms and showed (1) no change, (2) gradual improvement, and (3) fast improvement. A final class (4) showed initially mild symptoms and minimal improvement. Within the moderate-severe baseline symptom classes, patients in the two showing improvement as opposed to no change tended not to be prescribed psychotropic medication or report a disability and were in employment. Patients showing fast improvement additionally reported lower baseline functional impairment on average. Multiple trajectory classes of depression and anxiety symptoms were associated with baseline characteristics. Identifying the most likely trajectory for a patient at the start of treatment could inform decisions about the suitability and continuation of therapy, ultimately improving patient outcomes.

Classification and risk factors of Post COVID-19 condition: a longitudinal study in the Belgian population

Abstract Background Since the onset of the COVID-19 pandemic, most research has focused on the pathophysiology and management of the acute symptoms of COVID-19, yet some people tend to experience symptoms beyond the acute phase of infection, that is, Post COVID-19 condition (PCC). However, evidence on the prevalence of PCC, its symptoms, and mechanisms are still scarce. This study aimed to assess the distribution, patterns of symptoms, and associated factors of PCC in adult with confirmed COVID-19 infection in Belgium. Methods This is a longitudinal cohort study of Belgian adult population with recent COVID-19 infection confirmed via a molecular test and systematically recruited via national tracing call centers. A total of 5181 people were followed-up using online questionnaires at the time of their infection and 3 months later (from April 2021 to February 2022). Their physical, social and mental health was evaluated as well as their acute COVID-19 symptoms and persistent PCC symptoms. These different variables were self-reported. Results Half of the participants reported PCC (49.6%). The most frequent persistent symptoms 3 months after infection were fatigue (28%), headache (18%), and memory problems (12%). Women (OR = 1.67,CI95%=1.40-1.99), people with a lower level of education (OR = 1.23,CI95%=1.02-1.48), obese people (OR = 1.23,CI95%=1.02-1.48), people with chronic disease (OR = 1.97,CI95%=1.40-2.77), and people with a higher number of acute COVID-19 symptoms (OR = 2.56, CI95%=1.83-3.58) or hospitalised (OR = 2.19,CI95%=1.25-3.82) were more likely to report PCC. Finally, a latent class analysis on the 29 PCC symptoms highlighted 3 different classes of symptoms. Conclusions With the growing number of people infected with COVID-19, PCC is becoming an important public health issue. To allow people with PCC to recover, it is essential to have a multidisciplinary approach and to provide early post-acute physical and psychological rehabilitation interventions according to symptom patterns.