Trajectories Of Symptoms Research Articles

Reader Response: Apathy After Stroke: Incidence, Symptom Trajectory, and Impact on Quality of Life and Disability

Reader Response: Apathy After Stroke: Incidence, Symptom Trajectory, and Impact on Quality of Life and Disability

The association of multi-system conditions on mental health trajectories during naval deployment

ABSTRACT This study seeks to enhance understanding of mental health trajectories across Navy deployments and the predictors of those trajectories by exploring a range of job design and individual-level factors. Personnel from the Royal Australian Navy were surveyed on pre-deployment, mid-deployment, and post-deployment. At pre-deployment, there were 559 (M age = 30.19; male = 75.5%) survey responses, N = 112 survey responses could be linked at all time points (retention rate of 20.04% across all time points), and 314 personnel (56.2%) responded at least twice. Latent class growth analyses and growth mixture models were used to determine the trajectories that best fit the data. Separate models were developed for each of the mental health outcomes studied (i.e. psychological distress, perceived resilience, and perceived stress), plus a latent outcome representing a summary measure of psychological ill-health. This latent outcome, estimated as the most comprehensive assessment approach, was used to evaluate all 33 predictors. Consistent with previous work, we identified between two and four trajectories reflecting resilient/low symptom trajectories and heterogeneous symptom trajectories. There were a greater proportion of personnel in the heterogeneous symptom trajectories than identified in previous research. A key contribution of this work is the thorough comparison and ranking of factors that influence the deployment experience. We emphasize the importance of role demands and resources in determining these trajectories when compared directly to self-regulation strategies. Study findings highlight important implications for job design for military personnel during deployment and underscore the importance of adopting a holistic system approach to well-being.

Symptom- and function-based trajectories of patients with dementia in hospital and community palliative care settings in the last two weeks of life: a retrospective cohort study

BackgroundThe prevalence of dementia is increasing worldwide and many people with the condition require some level of palliative care. However, the trajectories of function and symptom burden in palliative care services at the end of life remain unclear. This study aimed to describe and compare the longitudinal trajectories of function and symptom burden among patients with dementia between hospital versus palliative community care services in the last two weeks of life.MethodsA retrospective cohort study used data from the Australian Palliative Care Outcomes Collaboration. Patients with dementia who died between 1 January 2013 and 31 December 2020 from the Australian Palliative Care Outcomes Collaboration. Four validated clinical instruments were used to collect outcomes on each individual’s function and symptom distress and severity. Multilevel models were used to estimate the differences in clinical trajectories between hospital and community-based palliative care in the last two weeks of life.ResultsPatients with dementia tended to have low levels of distress for most symptoms but increasing levels of functional impairment. There were no or only marginally significant differences in the symptom trajectories between the community and hospital groups (OR ranged from 0.57 to 1.97). Although clinical trajectories of function were relatively similar between two groups, statistically higher functional indicators were observed for people when admitted to community palliative care services (OR = 0.42 and 2.27, respectively).ConclusionsOur findings suggest that community-based palliative care services can be as effective as hospital-based care for many patients with dementia nearing the end of life. With appropriate support for families, community-based care could serve as a viable alternative to hospital-based care for some patients in the final stages of dementia.

One-year trajectories of physical and mental health-related quality of life, fatigue and dyspnoea in COVID-19 survivors.

A substantial number of people experience a persisting impact on health-related quality of life (HRQoL) after COVID-19. The current study aims to identify different trajectories of physical and mental HRQoL, fatigue severity, and dyspnoea severity following hospitalisation with COVID-19, and associated factors of these trajectories. 500 patients with COVID-19 were followed for one year in a longitudinal cohort study. Self-reported outcomes were measured at 3, 6, 9, and 12 months after hospitalisation. Distinct trajectories were characterised using Growth Mixture Modelling. Sociodemographic and clinical correlates of trajectories were investigated using multivariable (multinomial) logistic regression analyses. Three trajectories ('stable high' (16%), 'improving' (40%), and 'stable low' (44%)) were found for physical HRQoL, and four ('stable high' (43%), 'improving' (14%), 'middle declining' (17%), and 'low' (26%)) for mental HRQoL. Older age, overweight and obesity, lower education, and comorbidities were associated with 'low' physical HRQoL. Younger age was associated with 'low' mental HRQoL. Four fatigue trajectories ('no fatigue' (15%), 'improving' (40%), 'low-severe' (27%), and 'high-severe' (18%)) were found. Participants either experienced almost never ('no dyspnoea', 75%) or almost always ('severe', 25%) dyspnoea. High co-occurrences between low HRQoL and severe fatigue and dyspnoea symptom trajectories were found. A substantial number of COVID-19 survivors continue to struggle with reduced HRQoL over time. However, large variations in these physical and mental HRQoL trajectories exist, and trajectories are associated with persisting COVID-19-related symptoms or pre-hospitalised health status. Regular measurement of HRQoL and post-COVID symptoms may help identify those that may benefit from timely interventions.

Obsessive-compulsive symptom trajectories from pregnancy through the postpartum: examining longitudinal course and risk factors during the COVID-19 pandemic.

The peripartum is a time of increased risk for the development or worsening of obsessive-compulsive (OC) symptoms. Existing evidence suggests that OC symptoms commonly surge immediately postpartum followed by a gradual recovery. Yet how societal conditions, such as a widespread public health crisis, may affect this pattern remains unknown. Increased OC symptom prevalence in the general population during the COVID-19 pandemic coupled with the pre-existing vulnerability of peripartum women suggests they may have been at particularly high risk for sustained symptoms. Thus, the aim of the current study was to examine trajectories in OC symptoms, particularly contamination concerns, in women who gave birth during the COVID-19 pandemic, and to look at risk and resiliency factors that may influence symptom course METHODS: A sample of 164 US pregnant women were recruited during the COVID-19 pandemic. They reported OC symptoms at 3 timepoints: April/May, 2020, July, 2020, and February, 2022. We used a growth mixture modeling approach to examine OC symptom trajectories from pregnancy through the postpartum across these timepoints, comparing the goodness of fit of models with 1-5 trajectory classes for overall OC symptoms and for contamination-related OC symptoms. For total OC symptoms, two classes of trajectories were identified: recovering (29.27%) versus stable low (70.73%) symptoms; for contamination symptoms alone, a subset of total symptoms, three trajectories were identified: recovering (8.54%), stable low symptoms (68.29%), and stable high symptoms (23.17%). Peripartum stress, but not sociodemographic or obstetric factors, predicted class membership. These findings suggest that peripartum OC symptoms, particularly related to contamination, may persist beyond the postpartum period in some women, particularly for women exposed to elevated stress in pregnancy and the postpartum.

Clinical Effects of Asynchronous Provider-Guided Practice Sessions During Blended Care Therapy for Anxiety and Depression: Pragmatic Retrospective Cohort Study.

Blended care therapy models are intended to increase the efficiency and effectiveness of evidence-based psychotherapy by combining synchronous and asynchronous components of care. This retrospective cohort study evaluated the clinical effects of synchronous video therapy sessions and asynchronous guided practice session elements on anxiety and depression in a blended care therapy program, with a novel focus on asynchronous provider feedback messages. Participants were adults (N=33,492) with clinical symptoms of anxiety (Generalized Anxiety Disorder 7-item scale [GAD-7] score of ≥8) and depression (Patient Health Questionnaire 9-item scale [PHQ-9] score of ≥10) at intake. Symptom trajectories were evaluated via individual growth curve models. Time-varying covariates evaluated effects of synchronous video session attendance and the presence or absence of each asynchronous guided practice session element occurring within 7 days and 8-14 days prior to each clinical outcome assessment. Guided practice session elements included client digital lesson completion, client digital exercise completion, and feedback messages sent by providers. Approximately 86.6% (29,012/33,492) of clients met criteria for clinical improvement by end of care (median 6, IQR 4-8 synchronous sessions). Synchronous video session attendance and client digital lesson completion in the past 7 days and in the past 8-14 days were each uniquely and significantly associated with lower GAD-7 scores (video session effects: bsession7=-0.82, bsession8-14=-0.58, P values<.001; digital lesson effects: blesson7=-0.18, blesson8-14=-0.26, P values <.001) and PHQ-9 scores (video session effects: bsession7=-0.89, bsession8-14=-0.67, P values <.001; digital lesson effects: blesson7=-0.12, blesson8-14=-0.30, P values <.001). Client digital exercise completion in the past 8-14 days was significantly associated with lower GAD-7 scores (bexercise8-14=-0.10; P<.001) but exercise completion in the 7 days prior to clinical outcome assessment was not (bexercise7=0.00; P=.89). Exercise completion in the past 7 days was significantly associated with lower PHQ-9 scores (bexercise7=-0.16; P<.001) but exercise completion in the past 8-14 days was not (bexercise8-14=-0.05; P=.09). Provider feedback messaging in the past 7 days and in the past 8-14 days was significantly associated with lower GAD-7 and PHQ-9 scores, respectively (GAD-7: bfeedback7=-0.12, P<.001; bfeedback8-14=-0.07, P=.004; PHQ-9: bfeedback7=-0.15, P<.001; bfeedback8-14=-0.08, P=.01). Provider feedback between synchronous therapy sessions provided significant benefit for symptom reduction, beyond the effects of client digital engagement and synchronous video sessions. When guided practice sessions are well integrated into care, blended care therapy provides meaningful improvements upon the traditional, synchronous session-only therapy model. Provider guidance and feedback for clients between synchronous sessions support more efficient and effective mental health care overall.

The Dual Trajectories of Depressive Symptoms and Social Support—A Population‐Based Cohort Study Among Swedish Adults Across 23 Years

The Dual Trajectories of Depressive Symptoms and Social Support—A Population‐Based Cohort Study Among Swedish Adults Across 23 Years

The effect of community environment on the trajectory of depressive symptoms and cohort differences among middle-aged and older Chinese adults.

Urbanization has changed the living environment of middle-aged and older Chinese adults, but it also brings certain mental pressure to them. Few studies have explored the effect of community environment on the development trajectory and the cohort differences of depressive symptoms in Chinese individuals. Based on the longitudinal data of the China Health and Retirement Longitudinal Study (CHARLS) from 2011 to 2020, using three-level hierarchical linear growth model, this study examined the effect of community environment on the trajectory of depressive symptoms and cohort differences among middle-aged and older Chinese adults in five cohorts from 1920 to 1929, 1930-1939, 1940-1949, 1950-1959, and 1960-1966. The results of this study showed that middle-aged and older adult individuals who lived in neighborhoods with better community physical and social environments had a protective effect on depressive symptoms. There was a cohort difference in the development of depressive symptoms among middle-aged and older Chinese adults. The baseline depressive symptoms in the later birth cohorts were higher than those in the earliest cohort, and the development rate were also significantly higher. The role of community environment in the development rate of depressive symptoms among middle-aged and older adult individuals varied across the cohort. A better community social environment had a more significant moderating effect on the development rate of depressive symptoms in the early birth cohort (1930-1939), and a better physical environment had a more significant moderating effect on the development rate of depressive symptoms in the 1940-1949 cohort. Under the strategic background of healthy aging in China, the construction and improvement of community environment should become an important part of coping with the realistic challenges of the aging population, such as the expanding scale of depressed population among the middle-aged and older adult individual.

Towards accurate screening and prevention for PTSD (2-ASAP): protocol of a longitudinal prospective cohort study

BackgroundEffective preventive interventions for PTSD rely on early identification of individuals at risk for developing PTSD. To establish early post-trauma who are at risk, there is a need for accurate prognostic risk screening instruments for PTSD that can be widely implemented in recently trauma-exposed adults. Achieving such accuracy and generalizability requires external validation of machine learning classification models. The current 2-ASAP cohort study will perform external validation on both full and minimal feature sets of supervised machine learning classification models assessing individual risk to follow an adverse PTSD symptom trajectory over the course of 1 year. We will derive these models from the TraumaTIPS cohort, separately for men and women.MethodThe 2-ASAP longitudinal cohort will include N = 863 adults (N = 436 females, N = 427 males) who were recently exposed to acute civilian trauma. We will include civilian victims of accidents, crime and calamities at Victim Support Netherlands; and who were presented for medical evaluation of (suspected) traumatic injuries by emergency transportation to the emergency department. The baseline assessment within 2 months post-trauma will include self-report questionnaires on demographic, medical and traumatic event characteristics; potential risk and protective factors for PTSD; PTSD symptom severity and other adverse outcomes; and current best-practice PTSD screening instruments. Participants will be followed at 3, 6, 9, and 12 months post-trauma, assessing PTSD symptom severity and other adverse outcomes via self-report questionnaires.DiscussionThe ultimate goal of our study is to improve accurate screening and prevention for PTSD in recently trauma-exposed civilians. To enable future large-scale implementation, we will use self-report data to inform the prognostic models; and we will derive a minimal feature set of the classification models. This can be transformed into a short online screening instrument that is user-friendly for recently trauma-exposed adults to fill in. The eventual short online screening instrument will classify early post-trauma which adults are at risk for developing PTSD. Those at risk can be targeted and may subsequently benefit from preventive interventions, aiming to reduce PTSD and relatedly improve psychological, functional and economic outcomes.

Cumulative stressor exposure predicts menstrual cycle affective changes in a transdiagnostic outpatient sample with past-month suicidal ideation.

Affective responses to the menstrual cycle vary widely. Some individuals experience severe symptoms like those with premenstrual dysphoric disorder, while others have minimal changes. The reasons for these differences are unclear, but prior studies suggest stressor exposure may play a role. However, research in at-risk psychiatric samples is lacking. In a large clinical sample, we conducted a prospective study of how lifetime stressors relate to degree of affective change across the cycle. 114 outpatients with past-month suicidal ideation (SI) provided daily ratings (n = 6187) of negative affect and SI across 1-3 menstrual cycles. Participants completed the Stress and Adversity Inventory (STRAIN), which measures different stressor exposures (i.e. interpersonal loss, physical danger) throughout the life course, including before and after menarche. Multilevel polynomial growth models tested the relationship between menstrual cycle time and symptoms, moderated by stressor exposure. Greater lifetime stressor exposure predicted a more pronounced perimenstrual increase in active SI, along with marginally significant similar patterns for negative affect and passive SI. Additionally, pre-menarche stressors significantly increased the cyclicity of active SI compared to post-menarche stressors. Exposure to more interpersonal loss stressors predicted greater perimenstrual symptom change of negative affect, passive SI and active SI. Exploratory item-level analyses showed that lifetime stressors moderated a more severe perimenstrual symptom trajectory for mood swings, anger/irritability, rejection sensitivity, and interpersonal conflict. These findings suggest that greater lifetime stressor exposure may lead to heightened emotional reactivity to ovarian hormone fluctuations, elevating the risk of psychopathology.

Peripartum depression symptom trajectories, telomere length and genotype, and adverse childhood experiences

BackgroundAs a biological marker for cellular senescence, telomere length (TL) has been linked to a variety of psychiatric disorders and adverse childhood experiences (ACE), though only preliminarily to peripartum depression (PPD). The present study sought to examine the association between TL and PPD, assessing the moderating role of ACE and genetic polymorphic variations related with the telomere machinery.MethodsAdversity was self-reported, likewise were depressive symptoms evaluated at pregnancy week 17 and 32, as well as six-weeks and six-months postpartum. TL was assessed by use of qPCR in blood samples collected during delivery from females with antenatal depression resolving postpartum, females with depression persisting to postpartum, and healthy controls. Twenty haplotype-tagging Single Nucleotide Polymorphisms in the Telomerase Reverse Transcriptase (TERT) and three in the Telomerase RNA Component (TERC) genes were genotyped.ResultsTL was negatively correlated with severity of PPD symptoms at pregnancy week 32 and postpartum week 6. PPD was associated with shorter TL. Lastly, ACE, but not the TERT/TERC genotype, moderated the TL-trajectory association; with increasing ACE, individuals with persistent PPD symptoms had shorter TL, whereas the opposite pattern (longer TL) was observed in the controls.ConclusionsThe findings contribute to further understanding of PPD underpinnings, suggesting a negative relationship with TL.

7829 Hydrocortisone Vs Prednisone During Recovery Following Surgical Cure For Endogenous Hypercortisolism: A Longitudinal Observational Study

Abstract Disclosure: R. Sandooja: None. J. Saini: None. R. Gregg garcia: None. C. Zhang: None. S. Achenbach: None. E. Atkinson: None. J. Van Gompel: None. W.F. Young: None. I. Bancos: None. Hydrocortisone vs Prednisone During Recovery Following Surgical Cure for Endogenous Hypercortisolism: A Longitudinal Observational Study Introduction: Glucocorticoid withdrawal syndrome (GWS) is a constellation of symptoms that occurs after successful surgery for endogenous hypercortisolism. The objective of this study is to compare hydrocortisone versus prednisone on GWS symptoms. Methods: Study design: Single-center prospective longitudinal cohort study, 2019-2023. Participants: Adults with Cushing syndrome (CS) and mild autonomous cortisol secretion (MACS) with post-operative adrenal insufficiency treated with either hydrocortisone or prednisone for glucocorticoid replacement. Measurements: Clinical and biochemical severity scores for hypercortisolism were calculated. Quality of life (QOL) was assessed using Short Form-36 (SF-36) and Cushing QOL surveys. GWS was assessed using weekly AddiQoL surveys for the first 12 weeks after surgery. Results: Of 131 patients, 91 (69%) patients were treated with hydrocortisone and 40 (31%) with prednisone. No differences in age (median age 51 vs 53 years, P=0.62), sex (84 vs 85% women, P=0.83), etiology of hypercortisolism (ACTH-dependent: 44% vs 48%, P=0.26), clinical severity of hypercortisolism (median score 13 vs 12, P=0.97), or biochemical severity of hypercortisolism (median score of 6 in both, P=0.31) were noted between groups. When assessed at 4-, 8-, and 12-weeks post-surgery, the prevalence and trajectory of symptoms (fatigue, myalgias/arthralgias, sleep, headaches, nausea, weakness) were similar in patients treated with hydrocortisone and prednisone (P&amp;gt;0.05 for all). However, patients treated with prednisone were less likely to report mood changes (8.5% vs 20.9%, P= 0.004) compared to those treated with hydrocortisone. When compared to the presurgical baseline, the overall Cushing QOL score 12 weeks post-surgery improved in both groups (mean delta 8.9 vs 13.0, P=0.21). No differences in the hydrocortisone vs prednisone treatment were found in the SF-36 physical component score (mean delta of -1.7 vs 0.3, P=0.23) and SF-36 mental component score (mean delta 2.3 vs 5.0, P=0.22). Using multivariable analysis, age (estimate 0.22, P= 0.005), clinical severity score (estimate -0.73, P&amp;lt;0.001), female sex (estimate -5.45, P= 0.046) but not glucocorticoid type (estimate -0.06, P=0.98) were associated with the overall GWS symptom burden at 12 weeks. Conclusion: Use of prednisone after curative surgery for hypercortisolism was associated with lower mood symptoms, but did not impact the overall severity or trajectory of other symptoms associated with GWS. Baseline clinical severity of hypercortisolism, age, and female sex were associated with GWS burden. Presentation: 6/1/2024

Sex, vaccination status, and comorbidities influence long COVID persistence

BackgroundThere is interest in the public health impact of Long COVID, defined as symptoms that persist or begin after SARS-CoV-2 infection. We aimed to identify demographic and clinical risk factors associated with Long COVID over time in an Upper Middle-Income Country (UMIC) and potential biomarkers predictive of symptom trajectory. MethodsProspective cohort study of adults with mild SARS-COV-2 during the Omicron period. We tracked symptom persistence and IgG antibody titers against the spike S1 subunit. ResultsOf 383 participants, 276 had confirmed SARS-CoV-2 infection. Long COVID persisted for ≥ two months in 21 % and ≥ 12 months in 5 %. The most common symptoms were fatigue, upper respiratory symptoms, and myalgia/arthralgia: 15 % had fatigue for ≥ one month, 10 % for ≥ two months, and 5 % ≥ three months. Upper respiratory symptoms lasted ≥ one month in 17 %, ≥ two months in 7 %, and ≥ three months in 3 %. Fully 9 % reported myalgia/arthralgia lasting ≥ one month, 6 % ≥ two months, and 4 % ≥ three months. Risk factors for symptom persistence included female sex, not being fully vaccinated, and comorbidities. Participants experiencing persistent fatigue had lower anti-S1 IgG titers. ConclusionsIn this population, symptom persistence declined after the acute phase, but 5 % of participants did not fully recover. Even in a population that was almost fully vaccinated, women, individuals with comorbidities, and the few remaining people who were unvaccinated were at greater risk for Long COVID. Immunoglobulins may have utility as a biomarker of Long COVID fatigue in this population.

Trajectories of Short-Term Post-Traumatic Stress Disorder Symptoms in Patients with Post-Intensive Care Syndrome: A Longitudinal Observational Study.

Post-traumatic stress disorder (PTSD) is a major psychiatric health issue among intensive care unit (ICU) survivors with post-intensive care syndrome (PICS). Although early PTSD intervention has been demonstrated to decrease the risk of progression from acute to chronic PTSD, information on the progression trajectory of short-term PTSD symptoms and modifiable risk factors in PICS patients is limited. This study aimed to explore the clinical progression trajectories of short-term PTSD symptoms and the associated factors in PICS patients by conducting a prospective longitudinal observational study. This study was conducted at a tertiary hospital in China. The impact of event scale-revised was used to collect data on the PTSD symptoms of patients at 1, 2, 3, and 4 months post-discharge from the ICU. The latent growth mixture model was used to construct trajectory models for PTSD symptoms and multivariate logistic regression was used to determine the factors associated with the trajectories. A total of 130 ICU survivors with PICS completed the 4-month short-term follow-up. Our results showed that PTSD symptoms in PICS patients manifested as three trajectories, namely, moderate chronic (n = 17, 13.1%), recovery (n = 25, 19.2%), and resilience (n = 88, 67.7%). Compared with the resilience trajectory, age and female were identified as risk factors for the moderate chronic trajectory, while prolonged ICU stay was a risk factor for the recovery trajectory. Our study showed that short-term PTSD symptoms in PICS patients manifested as moderate chronic, recovery, and resilience trajectories. Additionally, our results showed that PTSD screening should be conducted for critically ill patients, especially younger, female, or long-term ICU patients, immediately after their discharge from the ICU.

The trajectories and associations of sleep disturbance symptoms with suicidal ideation in adolescents: A three-wave longitudinal study

BackgroundThis study aimed to investigate the developmental trajectories of sleep disturbance symptoms and examine whether specific trajectory memberships of sleep disturbance symptoms could prospectively predict suicidal ideation (SI) among a large sample of Chinese adolescents over one year. MethodsA three-wave longitudinal study was conducted from April 2021 to June 2022, with a sample of 19,095 adolescents from Shenzhen in Guangdong Province, China (51.2% males; mean age = 12.4 ± 1.6 years at baseline). Socio-demographics (at baseline), SI, sleep disturbance symptoms (at each assessment), depressive symptoms (at the last follow-up), and negative life events (at two follow-ups) were assessed. Data were analyzed employing Growth Mixture Modeling and binary logistic regressions. ResultsThe Growth Mixture Modeling identified four trajectories of sleep disturbance symptoms over one year: resistant group (76.2%), delayed-dysfunction group (8.8%), recovery group (7.4%), and chronic-dysfunction group (7.6%). Binary logistic regression analysis revealed that adolescents in the group of delayed-dysfunction (OR = 2.86, 95% CI = 2.51-3.27) and chronic-dysfunction (OR = 2.14, 95% CI = 1.84-2.47) exhibited higher risks of developing SI compared to those in the resistant group, even after controlling for socio-demographics, negative life events, depressive symptoms, and baseline SI. ConclusionsThese findings underscore the importance of identifying individuals at higher risks of sleep disturbance and providing personalized and effective mental health services to reduce the incidence of SI.

Symptom trajectories in infancy for the prediction of subsequent wheeze and asthma in the BILD and PASTURE cohorts: a dynamic network analysis

Host and environment early-life risk factors are associated with progression of wheezing symptoms over time; however, their individual contribution is relatively small. We hypothesised that the dynamic interactions of these factors with an infant's developing respiratory system are the dominant factor for subsequent wheeze and asthma. In this dynamic network analysis we used data from term healthy infants from the Basel-Bern Infant Lung Development (BILD) cohort (435 neonates aged 0-4 weeks recruited in Switzerland between Jan 1, 1999, and Dec 31, 2012) and replicated the findings in the Protection Against Allergy Study in Rural Environments (PASTURE) cohort (498 infants aged 0-12 months recruited in Germany, Switzerland, Austria, France, and Finland between Jan 1, 2002, and Oct 31, 2006). BILD exclusion criteria for the current study were prematurity (<37 weeks), major birth defects, perinatal disease of the neonate, and incomplete follow-up period. PASTURE exclusion criteria were women younger than 18 years, a multiple pregnancy, the sibling of a child was already included in the study, the family intended to move away from the area where the study was conducted, and the family had no telephone connection. Outcome groups were subsequent wheeze, asthma, and healthy. The first outcome was defined as ever wheezed between the age of 2 years and 6 years. Week-by-week correlations of the determining factors with cumulative symptom scores (CSS) were calculated from weeks 2 to 52 (BILD) and weeks 8 to 52 (PASTURE). The complex dynamic interaction between the determining factors and the CSS was assessed via dynamic host-environment correlation network, quantified by a simple descriptor: trajectory function G(t). Wheeze outcomes at age 2-6 years were compared in 335 infants from BILD and 437 infants from PASTURE, and asthma outcomes were analysed at age 6 years in a merged cohort of 783 infants. CSS was significantly different for wheeze and asthma outcomes and became increasingly important during infancy in direct comparison with all determining factors. Weekly symptoms were tracked for groups of infants, showing a non-linear increase with time. Using logistic regression classification, G(t) distinguished between the healthy group and wheeze or asthma groups (area under the curve>0·97, p<0·0001; sensitivity analysis confirmed significant CSS association with wheeze [BILD p=0·0002 and PASTURE p=0·068]) and G(t) was also able to distinguish between the farming and non-farming exposure groups (p<0·0001). Similarly to other risk factors, CSS had weak sensitivity and specificity to identify risks at the individual level. At group level however, the dynamic host-environment correlation network properties (G(t)) showed excellent discriminative ability for identifying groups of infants with subsequent wheeze and asthma. Results from this study are consistent with the 2018 Lancet Commission on asthma, which emphasised the importance of dynamic interactions between risk factors during development and not the risk factors per se. The Swiss National Science Foundation, the Kühne Foundation, the EFRAIM study EU research grant, the FORALLVENT study EU research grant, and the Leibniz Prize.

The association between the ten-year trajectory of multimorbidity and depressive symptoms among the middle-aged and older adults: Results from the China Health and Retirement Longitudinal Study

BackgroundDespite the established link between chronic conditions and depressive symptoms in recent decades, research into the temporal dynamics between multimorbidity and the occurrence of depressive symptoms remains scarce. MethodsA total of 15,882 Chinese middle-aged and older adults with 63,246 observations from the China Health and Retirement Longitudinal Study were included in the present study. Depressive symptoms were evaluated using a 10-item CESD scale, with a threshold set at 12 points. Group-based trajectory modeling was used to examine the multimorbidity developmental trajectories. The risk of depressive symptoms was analyzed using mixed effect logistic regression models. ResultsAmong the final included 15,896 participants, 37.6 % reported states of multimorbidity, and 25.7 % were detected as depressive symptoms. In the fully adjusted model, those with multimorbidity were 2.36 (2.24 to 2.49) times more likely to present depressive symptoms, and the likelihood increased 1.38 (1.36 to 1.40) times with each additional chronic condition. Four distinct multimorbidity trajectory groups were identified: no-new-condition group (32.6 %), slow growth group (42.9 %), steady growth group (19.7 %), and rapid growth group (4.9 %). Compared to the no-new-condition group, the likelihood of developing depressive symptoms was greater in the subsequent three groups, with ORs of 1.53 (1.39 to1.71), 2.54 (2.24 to 2.89), and 4.40 (3.62 to 5.34), respectively. ConclusionOur results highlight the substantial health effects of accumulating multimorbidity on depressive symptoms, showing a direct link between risk and accumulation rate. We urge focusing on depressive symptoms in those with multimorbidity to tackle the significant healthcare challenges arising from concurrent physical and mental health issues.

Temporal trajectories of long-COVID symptoms in adults with 22 months follow-up in a prospective cohort study in Norway

BackgroundThere is a lack of large studies on long-COVID symptoms with symptoms measurements before the onset of COVID-19. Therefore, long-COVID is still poorly defined. MethodsThe Norwegian COVID-19 Cohort Study is a population-based, open cohort of adult participants (aged 18-96 years) from Norway. From March 27, 2020, participants were recruited through social media, invitations, and nationwide media coverage. Fourteen somatic and cognitive symptoms were assessed at baseline and four follow-ups for up to 22 months. SARS-CoV-2 test status was obtained from a mandatory national registry or from self-report. FindingsAfter follow-up, 15 737 participants had a SARS-CoV-2-positive test, 67 305 a negative test, and 37 563 were still untested. Persistent symptoms reported more frequently by positive compared with negative participants one month after infection, were memory problems (3-6 months: adjusted odds ratio (aOR) = 6.8, CI = 5.7-8.1; >18 months: aOR = 9.4, CI = 4.1-22), and concentration problems (3-6 months: aOR = 4.1, CI = 3.5-4.7; >18 months: aOR = 4.4, CI = 2.0-9.7) as well fatigue, dyspnoea, anosmia and dysgeusia. InterpretationCOVID-19 was associated with cognitive symptoms, anosmia, dysgeusia, dyspnoea and fatigue as well as worsening of overall health up to 22 months after a SARS-CoV-2 test, even when correcting for symptoms before the onset of COVID-19.

The mediating role of systemic inflammation in the association between bedroom light at night and new-onset depressive symptoms among Chinese young adults: A prospective cohort study

BackgroundThe detrimental effects of exposure to light at night (LAN) have received increasing attention. However, the effects of LAN exposure on depressive symptoms and underlying mechanism are less explored. ObjectivesTo investigate the association between LAN exposure with new-onset and trajectories of depressive symptoms, and the potential mediating role of systemic inflammation. MethodsBaseline bedroom LAN exposure was monitored every minute for 2 consecutive nights using a portable illuminance meter. Fasting blood samples were collected at the 1-year follow-up to determine high sensitivity C-reactive protein (hs-CRP). Depressive symptoms were assessed at baseline, 1- and 2-year follow-up using the Mood and Feelings Questionnaire (MFQ). ResultsAt baseline, the mean age of the 347 participants was 18.7 ± 0.8 years, and 35.2 % were men. At 2-year follow-up, the new-onset depressive symptoms were 14.7 %. Compared with low-LANavg (average light intensity from bedtime to rising time) intensity group (LANavg < 3 lx), those with high-LANavg intensity (LANavg ≥ 3 lx) were associated with an 125 % increase in risk for depressive symptoms (HR = 2.25; 95 % CI: 1.27, 4.00); Compared with short-LAN5 (duration of nighttime light intensity ≥5 lx) duration group (LAN5 < 45 min), those with long-LAN5 duration (LAN5 ≥ 45 min) were associated with an 119 % increase in risk for depressive symptoms (HR = 2.19; 95 % CI: 1.18, 4.06). Participants were classified into 3 trajectory groups: consistently low, slow or rapid increase depressive symptoms; both intensity and duration of LAN exposure were associated with higher likelihood of slow or rapid increase depressive symptoms. Additionally, hs-CRP partially mediated the relationship between intensity (mediation proportion: 7.1 %) and duration (mediation proportion: 10.6 %) of LAN exposure with depressive symptoms. ConclusionExcessive bedroom LAN exposure is associated with increased risk of depressive symptoms among young adults, and systemic inflammation may be a partial mediator in the LAN-depressive symptoms association.

The longitudinal trajectory of depression and anxiety across the perinatal period

The understanding of long-term depression and anxiety trajectories across the perinatal periods is lacking. This longitudinal study investigated the change trajectories of both depressive and anxiety symptoms, as well as the associations of their trajectories over five years. The study included nulliparous participants (N = 163, Mage = 33.47, SDage = 3.53) with self-reported depressive and anxiety symptoms collected via questionnaires at 30- and 35 weeks' gestation, 1.5, 3, 6, 12, 24, and 60 months postpartum. Data were analysed using structural equation latent growth modelling with and without covariates. Symptoms of depression increased significantly during pregnancy (p < .001), and both depression and anxiety symptoms increased during postpartum (p-values<.001). A previous mental health history was significantly associated with greater depressive symptomology (p = .001), and White individuals (compared to non-White) tended to have greater depression and anxiety symptoms during pregnancy (p-values<.05). At 30- and 35-weeks' gestation, 6 weeks postpartum, 3, 6, 12, 24 months, and 5 years postpartum 2.5 %, 2.0 %, 4.6 %, 4.0 %, 7.3 %, 5.6 %, 3.5 % and 8.0 % of participants had clinically significant depressive symptoms and 6.1 %, 8.5 %, 7.1 %, 12.0 %, 11.9 %, 8.1 %, 7.9 %, and 28 % had clinically significant anxiety symptoms. This study highlights the need to assess both depression and anxiety in perinatal care, and to identify individuals who may require intervention.