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Journal articles on the topic 'Longitudinal clusters'

Author: Grafiati

Published: 5 June 2025

Last updated: 1 August 2025

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1

Costa, Clotilde, Laura Muinelo-Romay, Victor Cebey-López, et al. "Analysis of a Real-World Cohort of Metastatic Breast Cancer Patients Shows Circulating Tumor Cell Clusters (CTC-clusters) as Predictors of Patient Outcomes." Cancers 12, no. 5 (2020): 1111. http://dx.doi.org/10.3390/cancers12051111.

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Circulating tumor cell (CTC) enumeration has emerged as a powerful biomarker for the assessment of prognosis and the response to treatment in metastatic breast cancer (MBC). Moreover, clinical evidences show that CTC-cluster counts add prognostic information to CTC enumeration, however, their significance is not well understood, and more clinical evidences are needed. We aim to evaluate the prognostic value of longitudinally collected single CTCs and CTC-clusters in a heterogeneous real-world cohort of 54 MBC patients. Blood samples were longitudinally collected at baseline and follow up. CTC

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Landsberg, Beate, Sandra Plachta-Danielzik, Dominique Lange, Maike Johannsen, Jasmin Seiberl, and Manfred James Müller. "Clustering of lifestyle factors and association with overweight in adolescents of the Kiel Obesity Prevention Study." Public Health Nutrition 13, no. 10A (2010): 1708–15. http://dx.doi.org/10.1017/s1368980010002260.

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AbstractObjectiveTo identify lifestyle clusters in adolescents and to characterize their association with overweight and obesity.DesignCross-sectional and longitudinal data of the Kiel Obesity Prevention Study.SettingSchools in Kiel, Germany.Subjects and methodsCross-sectional data of 1894 adolescents aged 14 years and 4-year longitudinal data of a subsample of 389 children aged 10 and 14 years. Self-reported data of physical activity, modes of commuting to school, media time, nutrition, alcohol consumption and smoking were used to identify lifestyle clusters with two-step cluster analysis. Ob

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Chen, L., and Y. Zhou. "N24 A longitudinal qualitative exploration of symptom clusters in new diagnosed patients with Crohn’s disease." Journal of Crohn's and Colitis 19, Supplement_1 (2025): i2479. https://doi.org/10.1093/ecco-jcc/jjae190.1556.

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Abstract Background There is a burgeoning recognition that symptoms frequently coexist in ‘symptom clusters’, and comprehending these clusters may enhance the management of unrelieved symptoms in patients with Crohn’s disease. However, the nature and dynamics of the symptom clusters among newly diagnosed Chinese Crohn’s disease patients remain poorly understood. Methods A longitudinal qualitative study was adopted to explore the evolution of symptom clusters in newly diagnosed patients with Crohn’s disease within one year. Eighteen patients from two tertiary hospitals in southeast China were r

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Wang, Chun, Zhenchao Zhang, Weelic Chong, et al. "Improved Prognostic Stratification Using Circulating Tumor Cell Clusters in Patients with Metastatic Castration-Resistant Prostate Cancer." Cancers 13, no. 2 (2021): 268. http://dx.doi.org/10.3390/cancers13020268.

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Liquid biopsy-based biomarkers have advantages in monitoring the dynamics of metastatic castration-resistant prostate cancer (mCRPC), a bone-predominant metastatic disease. Previous studies have demonstrated associations between circulating tumor cells (CTCs) and clinical outcomes of mCRPC patients, but little is known about the prognostic value of CTC-clusters. In 227 longitudinally collected blood samples from 64 mCRPC patients, CTCs and CTC-clusters were enumerated using the CellSearch platform. The associations of CTC and CTC-cluster counts with progression-free survival (PFS) and overall

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Eula, Elisabetta, Marco Cesareo, Marco Pappaccogli, et al. "CLUSTER ANALYSIS OF PULSE WAVE VELOCITY LONGITUDINAL TRENDS IN HYPERTENSIVE PATIENTS." Journal of Hypertension 42, Suppl 1 (2024): e307. http://dx.doi.org/10.1097/01.hjh.0001022700.76222.2a.

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Objective: Arterial stiffness (AS) is an important predictor of cardiovascular disease and mortality. Its trend over time, assessed through multiple measurements, is still largely unexplored. The aim of this study was to assess the determinants of trajectories of carotid-femoral pulse wave velocity (PWV) in a cohort of Italian hypertensive adults. Design and method: From a population of 2581 hypertensive patients referred to Hypertension Unit of Internal Medicine Division at University Hospital Città della Salute e della Scienza of Turin (Italy) from 2005 to 2023, those who had at least 3 PWV

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Hao, Jianling, Liyan Gu, Peng Liu, et al. "Symptom clusters in patients with colorectal cancer after colostomy: a longitudinal study in Shanghai." Journal of International Medical Research 49, no. 12 (2021): 030006052110631. http://dx.doi.org/10.1177/03000605211063105.

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Objective Research is lacking regarding the experiences of patients after colostomy, which is needed so as to take necessary specific actions. In this study, we aimed to describe the trajectory of symptom clusters experienced by patients after colostomy over time. Methods This was a longitudinal observational study using data from 149 patients with colorectal cancer after colostomy. We investigated symptoms and symptom clusters at 2 weeks, 1 month, 3 months, 6 months, and 1 year after colostomy. Results Four main symptom clusters were identified, including a psychological symptom cluster, dige

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Tian, Fuchun, Yan Jin, Fengming Jin, et al. "Multi-Fracture Synchronous Propagation Mechanism of Multi-Clustered Fracturing in Interlayered Tight Sandstone Reservoir." Sustainability 14, no. 14 (2022): 8768. http://dx.doi.org/10.3390/su14148768.

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A numerical model was established by using the 3D lattice method to investigate the synchronous propagation mechanism of multiple clusters of hydraulic fractures in interlayered tight sandstone reservoirs in the Songliao Basin in China. The multi-fracture synchronous propagation model under different geological factors and fracturing engineering factors was simulated. The results show that the vertical stress difference, interlayer Young’s modulus, and lithologic interface strength are positively correlated with the longitudinal propagation ability of multiple hydraulic fractures. The three cl

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Pournara, Effie, Matthias Kormaksson, Peter Nash, et al. "Clinically relevant patient clusters identified by machine learning from the clinical development programme of secukinumab in psoriatic arthritis." RMD Open 7, no. 3 (2021): e001845. http://dx.doi.org/10.1136/rmdopen-2021-001845.

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ObjectivesIdentify distinct clusters of psoriatic arthritis (PsA) patients based on their baseline articular, entheseal and cutaneous disease manifestations and explore their clinical and therapeutic value.MethodsPooled baseline data in PsA patients (n=1894) treated with secukinumab across four phase 3 studies (FUTURE 2–5) were analysed to determine phenotypes based on clusters of clinical indicators. Finite mixture models methodology was applied to generate clinical clusters and mean longitudinal responses were compared between secukinumab doses (300 vs 150 mg) across identified clusters and

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Valdaliso, Jesús M., Aitziber Elola, and Susana Franco. "Do clusters follow the industry life cycle?" Competitiveness Review 26, no. 1 (2016): 66–86. http://dx.doi.org/10.1108/cr-02-2015-0006.

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Purpose – This paper aims to examine whether in old industrial regions, the trajectory of clusters follows that of their corresponding industry or deviates from it and which are the factors that account for cluster evolution. This paper deals with the issue of how established clusters either renew or transform themselves in such regions and how they adapt to changes in their corresponding international industries. Design/methodology/approach – This research paper draws from in-depth case studies on six industrial clusters, takes a longitudinal perspective and uses a multi-level and qualitative

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Hoskin, T., A. Vincent, M. Whipple, and S. Nanda. "Longitudinal stability of fibromyalgia symptom clusters." Journal of Pain 19, no. 3 (2018): S108. http://dx.doi.org/10.1016/j.jpain.2017.12.258.

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Nie, Xi, Zhao Qian, Wenzheng Du, et al. "Structural Evolution of AlN Nanoclusters and the Elemental Chemisorption Characteristics: Atomistic Insight." Nanomaterials 9, no. 10 (2019): 1420. http://dx.doi.org/10.3390/nano9101420.

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A theoretical insight into the structural evolution of AlN atomic clusters and the chemisorption of several common alloying elements on a large cluster has been performed in the framework of state-of-the-art density functional theory calculations. We report the findings that the longitudinal growth takes precedence during the early stage of structural evolution of small AlN clusters, when the longitudinal dimension becomes stable, the AlN cluster proceeds with cross-growth and blossoms into the large-size Al60N60. Upon the growth of clusters, the structures tend to become well-knit gradually.

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Feliu-Soler, Albert, Ignacio Martínez-Zalacaín, Adrián Pérez-Aranda, et al. "The Bed Nucleus of the Stria Terminalis as a Brain Correlate of Psychological Inflexibility in Fibromyalgia." Journal of Clinical Medicine 9, no. 2 (2020): 374. http://dx.doi.org/10.3390/jcm9020374.

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This study explored the brain structural correlates of psychological flexibility (PF) as measured with the Psychological Inflexibility in Pain Scale (PIPS) in patients with fibromyalgia (FM). Structural magnetic resonance imaging data from 47 FM patients were used to identify Gray Matter Volume (GMV) alterations related to PIPS scores. Brain GMV clusters related to PIPS were then correlated with clinical and cognitive variables to further explore how emerged brain clusters were intertwined with FM symptomatology. Longitudinal changes in PIPS-related brain clusters values were assessed by study

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DEMUTH, KATHERINE, and ELIZABETH MCCULLOUGH. "The longitudinal development of clusters in French." Journal of Child Language 36, no. 2 (2008): 425–48. http://dx.doi.org/10.1017/s0305000908008994.

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ABSTRACTStudies of English and German find that children tend to acquire word-final consonant clusters before word-initial consonant clusters. This order of acquisition is generally attributed to articulatory, frequency and/or morphological factors. This contrasts with recent experimental findings from French, where two-year-olds were better at producing word-initial than word-final clusters (Demuth & Kehoe, 2006). The purpose of the present study was to examine French-speaking children's longitudinal acquisition of clusters to determine if these results replicate developmentally. Analysis

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Gregory, Andrew, Zhonghui Xu, Katherine Pratte, et al. "Clustering-based COPD subtypes have distinct longitudinal outcomes and multi-omics biomarkers." BMJ Open Respiratory Research 9, no. 1 (2022): e001182. http://dx.doi.org/10.1136/bmjresp-2021-001182.

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IntroductionChronic obstructive pulmonary disease (COPD) can progress across several domains, complicating the identification of the determinants of disease progression. In our previous work, we applied k-means clustering to spirometric and chest radiological measures to identify four COPD-related subtypes: ‘relatively resistant smokers (RRS)’, ‘mild upper lobe-predominant emphysema (ULE)’, ‘airway-predominant disease (AD)’ and ‘severe emphysema (SE)’. In the current study, we examined the associations of these subtypes to longitudinal COPD-related health measures as well as blood transcriptom

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Suhag, Alisha, Thomas L. Webb, and John Holmes. "Longitudinal clustering of health behaviours and their association with multimorbidity in older adults in England: A latent class analysis." PLOS ONE 19, no. 1 (2024): e0297422. http://dx.doi.org/10.1371/journal.pone.0297422.

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Background Health-risk behaviours such as smoking, unhealthy nutrition, alcohol consumption, and physical inactivity (termed SNAP behaviours) are leading risk factors for multimorbidity and tend to cluster (i.e. occur in specific combinations within distinct subpopulations). However, little is known about how these clusters change with age in older adults, and whether and how cluster membership is associated with multimorbidity. Methods Repeated measures latent class analysis using data from Waves 4–8 of the English Longitudinal Study of Ageing (ELSA; n = 4759) identified clusters of responden

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Kracht, Chelsea L., Jordan Gracie Wilburn, Stephanie T. Broyles, Peter T. Katzmarzyk, and Amanda E. Staiano. "Association of Night-Time Screen-Viewing with Adolescents’ Diet, Sleep, Weight Status, and Adiposity." International Journal of Environmental Research and Public Health 19, no. 2 (2022): 954. http://dx.doi.org/10.3390/ijerph19020954.

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Night-time screen-viewing (SV) contributes to inadequate sleep and poor diet, and subsequently excess weight. Adolescents may use many devices at night, which can provide additional night-time SV. Purpose: To identify night-time SV patterns, and describe differences in diet, sleep, weight status, and adiposity between patterns in a cross-sectional and longitudinal manner. Methods: Adolescents (10–16 y) reported devices they viewed at night and completed food recalls. Accelerometry, anthropometrics, and imaging were conducted to measure sleep, weight status, and adiposity, respectively. Latent

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Lundh, Lars-Gunnar, Margit Wångby-Lundh, My Paaske, Stina Ingesson, and Jonas Bjärehed. "Depressive Symptoms and Deliberate Self-Harm in a Community Sample of Adolescents: A Prospective Study." Depression Research and Treatment 2011 (2011): 1–11. http://dx.doi.org/10.1155/2011/935871.

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The associations between depressive symptoms and deliberate self-harm were studied by means of a 2-wave longitudinal design in a community sample of 1052 young adolescents, with longitudinal data for 83.6% of the sample. Evidence was found for a bidirectional relationship in girls, with depressive symptoms being a risk factor for increased self-harm one year later and self-harm a risk factor for increased depressive symptoms. Cluster analysis of profiles of depressive symptoms led to the identification of two clusters with clear depressive profiles (one severe, the other mild/moderate) which w

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Eldred, Karin, and Johanna Darrah. "Using Cluster Analysis to Interpret the Variability of Gross Motor Scores of Children With Typical Development." Physical Therapy 90, no. 10 (2010): 1510–18. http://dx.doi.org/10.2522/ptj.20090308.

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Background Longitudinal research on gross motor percentile rank scores of children with typical development has documented intra-individual variability of scoring patterns. Clinically, interpreting these fluctuations presents a challenge for therapists. Objective The aim of this study was to determine the utility of cluster analysis as a technique to organize the gross motor scoring patterns of children with typical development into clinically relevant groups. Design This was a descriptive, exploratory study using data from 2 longitudinal studies. Participants Sixty-six children with typical d

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Tempaku, P. F., L. O. Silva, T. M. Guimaraes, et al. "0577 Cluster Analysis for the Association Between Obstructive Sleep Apnea Phenotypes: A Population-Based Longitudinal Study." Sleep 43, Supplement_1 (2020): A221. http://dx.doi.org/10.1093/sleep/zsaa056.574.

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Abstract Introduction The identification of subgroups of obstructive sleep apnea (OSA) is critical to understand disease causality and ultimately develop optimal care strategies customized for each subgroup. In this sense, we aimed to perform a cluster analysis to identify subgroups of individuals with OSA based on clinical parameters. Furthermore, we aimed to analyze whether subgroups remain after 8 years. Methods We used data derived from the Sao Paulo Epidemiologic Sleep Study (EPISONO) cohort, which was followed over 8 years. All individuals underwent polysomnography, answered questionnair

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Nagel, Corey L., Siting Chen, Heather G. Allore, et al. "Longitudinal sequencing of cardiometabolic multimorbidity among older adults and association with subsequent dementia onset." PLOS One 20, no. 7 (2025): e0326309. https://doi.org/10.1371/journal.pone.0326309.

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Background Patterns of development of cardiometabolic multimorbidity (CMM) and the impact of specific cardiometabolic disease combinations on cognitive function are not well understood. This study utilizes sequence analysis to describe the ordering and timing of cardiometabolic disease accumulation over a five-year period and to assess both sociodemographic predictors and cognitive outcomes of typical cardiometabolic disease sequences. Methods We analyzed data from the National Health and Aging Trends Study (2011–2022), including respondents aged ≥65 years without CMM or cognitive impairment a

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Al Qadire, Mohammad, Omar Shamieh, Sameer Abdullah, and Faisal Albadainah. "Symptom Clusters’ Content, Stability and Correlation with the Quality of Life in a Heterogeneous Group of Cancer Patients: A Large-Scale Longitudinal Study." Clinical Nursing Research 29, no. 8 (2020): 561–70. http://dx.doi.org/10.1177/1054773820933449.

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Cancer-related symptoms can negatively affect the quality of life, hinder or delay treatment, and increase suffering. This study aimed to explore symptom clusters among Jordanian cancer patients. A longitudinal survey design was used. The sample consisted of 1280 cancer patients treated in three selected hospitals. Two-thirds of the participants were female (63.5%) with a mean age of 52.7 SD 13.8 years and 40.3% had breast cancer. Five clusters were identified, the first was the psychological cluster of eight symptoms; the second was the treatment side-effects cluster consisting of ten symptom

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Northstone, Kate, Andrew D. A. C. Smith, P. K. Newby, and Pauline M. Emmett. "Longitudinal comparisons of dietary patterns derived by cluster analysis in 7- to 13-year-old children." British Journal of Nutrition 109, no. 11 (2012): 2050–58. http://dx.doi.org/10.1017/s0007114512004072.

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Little is known about changes in dietary patterns over time. The present study aims to derive dietary patterns using cluster analysis at three ages in children and track these patterns over time. In all, 3 d diet diaries were completed for children from the Avon Longitudinal Study of Parents and Children at 7, 10 and 13 years. Children were grouped based on the similarities between average weight consumed (g/d) of sixty-two food groups using k-means cluster analysis. A total of four clusters were obtained at each age, with very similar patterns being described at each time point: Processed (hi

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Chalitsios, Christos V., Cornelia Santoso, Yvonne Nartey, et al. "Trajectories in long-term condition accumulation and mortality in older adults: a group-based trajectory modelling approach using the English Longitudinal Study of Ageing." BMJ Open 14, no. 7 (2024): e074902. http://dx.doi.org/10.1136/bmjopen-2023-074902.

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ObjectivesTo classify older adults into clusters based on accumulating long-term conditions (LTC) as trajectories, characterise clusters and quantify their associations with all-cause mortality.DesignWe conducted a longitudinal study using the English Longitudinal Study of Ageing over 9 years (n=15 091 aged 50 years and older). Group-based trajectory modelling was used to classify people into clusters based on accumulating LTC over time. Derived clusters were used to quantify the associations between trajectory memberships, sociodemographic characteristics and all-cause mortality by conducting

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Virta, Sari, and Gregory Ferrell Lowe. "Integrating media clusters and value networks: Insights for management theory and research from a case study of Mediapolis in Finland." Journal of Management & Organization 23, no. 1 (2016): 2–21. http://dx.doi.org/10.1017/jmo.2016.56.

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AbstractWe argue that there is scholarly potential in linking theory on industry clusters with theory on value networks. To date, these two theoretical streams have developed largely in parallel, limiting understanding of how the two are integrated in practice. By considering these theories in combination and the unique context of creative industries, we generate insight on the management of clusters as value networks. Our ongoing longitudinal empirical case is a new media cluster called ‘Mediapolis’ in the city of Tampere, Finland. The case study commenced at the time the cluster was in the p

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Kadhim, Bahjat B., Mudar Ahmed Abdulsattar, and Ali Mohammed Ali. "Quantum confinement effects of formation energies and vibrational properties of CdS clusters: A DFT study." International Journal of Modern Physics B 33, no. 16 (2019): 1950163. http://dx.doi.org/10.1142/s0217979219501637.

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Formation energies of cadmium sulfide clusters are calculated with the help of density functional theory. The investigated structures include clusters that represent the CdS three main phases, wurtzite, zincblende and rock-salt. The investigation includes electronic, vibrational and thermal properties. CdS clusters are represented by wurtzoids, diamondoids and cuboids for the three phases, wurtzite, zincblende and rock-salt, respectively. The energy gap of the largest investigated molecules approaches that of bulk experimental 2.42 eV. The calculated longitudinal optical (LO) vibrational mode

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Spahn, Claudia, Manfred Nusseck, and Mark Zander. "Long-term Analysis of Health Status and Preventive Behavior in Music Students Across an Entire University Program." Medical Problems of Performing Artists 29, no. 1 (2014): 8–15. http://dx.doi.org/10.21091/mppa.2014.1003.

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OBJECTIVES: The aim of this investigation was to analyze longitudinal data concerning physical and psychological health, playing-related problems, and preventive behavior among music students across their complete 4- to 5-year study period. METHODS: In a longitudinal, observational study, we followed students during their university training and measured their psychological and physical health status and preventive behavior using standardized questionnaires at four different times. RESULTS: The data were in accordance with previous findings. They demonstrated three groups of health characteris

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Redd, Andrew D., Nicole A. Doria-Rose, Joshua A. Weiner, et al. "Longitudinal Antibody Responses in People Who Inject Drugs Infected With Similar Human Immunodeficiency Virus Strains." Journal of Infectious Diseases 221, no. 5 (2019): 756–65. http://dx.doi.org/10.1093/infdis/jiz503.

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Abstract Background Multiple factors influence the human immunodeficiency virus (HIV) antibody response produced during natural infection, leading to responses that can vary in specificity, strength, and breadth. Methods People who inject drugs identified as recently infected with HIV (n = 23) were analyzed for clustering of their viral sequences (genetic distance, &lt;2%). Longitudinal antibody responses were identified for neutralizing antibody (Nab) potential, and differences in antibody subclass, specificity, and Fc receptor ligation using pseudovirus entry and multiplexed Fc array ass

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Grassi, Daphine Centola, Ana Luiza Zaninotto, Fabrício Stewan Feltrin, et al. "Longitudinal whole-brain analysis of multi-subject diffusion data in diffuse axonal injury." Arquivos de Neuro-Psiquiatria 80, no. 3 (2022): 280–88. http://dx.doi.org/10.1590/0004-282x-anp-2020-0595.

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ABSTRACT Background: Diffuse axonal injury occurs with high acceleration and deceleration forces in traumatic brain injury (TBI). This lesion leads to disarrangement of the neuronal network, which can result in some degree of deficiency. The Extended Glasgow Outcome Scale (GOS-E) is the primary outcome instrument for the evaluation of TBI victims. Diffusion tensor imaging (DTI) assesses white matter (WM) microstructure based on the displacement distribution of water molecules. Objective: To investigate WM microstructure within the first year after TBI using DTI, the patient’s clinical outcomes

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Constantine-Cooke, N., K. Monterrubio-Gómez, N. Plevris, et al. "P789 Inflammatory Bowel Disease subgroups identified by longitudinal faecal calprotectin profiles: A 10-year retrospective analysis of the Lothian IBD Registry." Journal of Crohn's and Colitis 17, Supplement_1 (2023): i921—i924. http://dx.doi.org/10.1093/ecco-jcc/jjac190.0919.

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Abstract Background Faecal calprotectin (FCAL) is routinely used to monitor mucosal inflammation, and high FCAL values are associated with poor outcomes in IBD. Having previously found clusters characterised by distinct FCAL profiles in a Crohn’s disease (CD) cohort of 356 subjects, we aimed to extend this approach to all IBD patients treated by the Edinburgh IBD Unit. Methods Subjects were required to have a diagnosis of IBD, three FCAL measurements within ten years of diagnosis between January 2005 and September 2019, and be treated by the Edinburgh IBD Unit. All FCAL was measured on the sam

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Elliott, Michael R. "Identifying latent clusters of variability in longitudinal data." Biostatistics 8, no. 4 (2007): 756–71. http://dx.doi.org/10.1093/biostatistics/kxm003.

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Reviers, Antoine de, Agnès Helme-Guizon, Christophe Moinard, and Catherine Féart. "COVID-19 Lockdown and Changes in Dietary and Lifestyle Behaviors in a French Longitudinal Cohort." Nutrients 15, no. 21 (2023): 4682. http://dx.doi.org/10.3390/nu15214682.

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Background: The COVID-19 pandemic has imposed local lockdowns resulting in strong disruptions in our lifestyles and dietary behaviors. This study aimed to determine how the lockdown in France affected these behaviors and weight during the lockdown and in a one month follow up period of time after the end of the lockdown. Methods: The study design was a longitudinal cohort, among French adults. A total of 593 participants (68.6% female), with a mean age of 42.2 years (SD = 15.2) completed a self-reported questionnaire on four occasions spaced one month apart, from the beginning of the lockdown

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Lui, G., E. Noss, N. Singh, J. Andrews, J. Graf, and K. Wysham. "POS0459 UNSUPERVISED CLUSTERING IDENTIFIES UNIQUE SUBSETS OF PATIENTS IN A RACIALLY AND ETHNICALLY DIVERSE RHEUMATOID ARTHRITIS COHORT." Annals of the Rheumatic Diseases 80, Suppl 1 (2021): 460.2–461. http://dx.doi.org/10.1136/annrheumdis-2021-eular.1946.

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Background:Single biomarkers have limited utility to date in guiding RA clinical care. Machine learning algorithms may better identify and stratify RA patients with differential outcomes.Objectives:To determine if unsupervised machine learning methods can be employed in a racially and ethnically diverse RA cohort to identify clusters of patients with different disease activity trajectories, as measured by DAS28ESR.Methods:Data are derived from the longitudinal, observational University of California, San Francisco RA Cohort. Along with routine labs, medications and disease activity assessments

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Pulkkinen, Lea, and Richard E. Tremblay. "Patterns of Boys' Social Adjustment in Two Cultures and at Different Ages: A Longitudinal Perspective." International Journal of Behavioral Development 15, no. 4 (1992): 527–53. http://dx.doi.org/10.1177/016502549201500406.

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In the comparison of two longitudinal studies, patterns of boys' social adjustment were identified by using aggression, hyperactivity, inattentiveness, anxiety, and lack of prosocial behaviour as clustering variables. Eight comparable clusters were obtained across two cultures, French Canada and Finland; three age groups, 6, 8, and 10 years; and two decades, the 1960s and 1980s. The clusters confirmed three frequently used categories of behaviour: (1) normal (for no adjustment problems); (2) anxious; and (3) inattentive; two infrequently used categories: (1) passive; and (2) nervous; and the i

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Fukuda, Kengo, Kazunori Okamura, Tomohiro Ikeda, Kohei Egawa, and Shusaku Kanai. "Classifications Based on Dynamic Navicular Drop during Gait and Characteristics of Flat Foot Muscle Morphology." Biomechanics 4, no. 4 (2024): 633–41. http://dx.doi.org/10.3390/biomechanics4040045.

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This study investigated the collapse of the medial longitudinal arch (MLA) as a risk factor for medial tibial stress syndrome (MTSS), hypothesizing that overuse of extrinsic foot muscles to prevent MLA collapse can lead to disability. Twenty healthy adults (age: 20.8 ± 0.8, height: 162.2 ± 10.4, weight: 54.9 ± 9, BMI: 20.8 ± 1.7) (39 feet) with a foot posture index score below 6 and no recent lower extremity orthopedic history participated. Ultrasonography measured foot muscle cross-sectional areas, while three-dimensional motion analysis using VICON assessed foot kinematics during gait, focus

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Cheung, Ying, Pei-Yun Hsueh, Ipek Ensari, Joshua Willey, and Keith Diaz. "Quantile Coarsening Analysis of High-Volume Wearable Activity Data in a Longitudinal Observational Study." Sensors 18, no. 9 (2018): 3056. http://dx.doi.org/10.3390/s18093056.

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Owing to advances in sensor technologies on wearable devices, it is feasible to measure physical activity of an individual continuously over a long period. These devices afford opportunities to understand individual behaviors, which may then provide a basis for tailored behavior interventions. The large volume of data however poses challenges in data management and analysis. We propose a novel quantile coarsening analysis (QCA) of daily physical activity data, with a goal to reduce the volume of data while preserving key information. We applied QCA to a longitudinal study of 79 healthy partici

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Morris, M. A., E. L. Wilkins, M. Galazoula, S. D. Clark, and M. Birkin. "Assessing diet in a university student population: a longitudinal food card transaction data approach." British Journal of Nutrition 123, no. 12 (2020): 1406–14. http://dx.doi.org/10.1017/s0007114520000823.

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AbstractStarting university is an important time with respect to dietary changes. This study reports a novel approach to assessing student diet by utilising student-level food transaction data to explore dietary patterns. First-year students living in catered accommodation at the University of Leeds (UK) received pre-credited food cards for use in university catering facilities. Food card transaction data were obtained for semester 1, 2016 and linked with student age and sex. k-Means cluster analysis was applied to the transaction data to identify clusters of food purchasing behaviours. Differ

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Burgassi, Fiamma, Elena Paillaud, Johanne Poisson, Guilhem Bousquet, and Frédéric Pamoukdjian. "Prognostic Value of Prospective Longitudinal CRP to Albumin Ratio among Older Outpatients with Cancer." Cancers 13, no. 22 (2021): 5782. http://dx.doi.org/10.3390/cancers13225782.

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The prognostic value of the CRP to albumin ratio (CAR) among older adults with cancer is not known. Six hundred and three older outpatients with cancer and undergoing geriatric assessment before therapeutic decisions were prospectively recruited from the PF-EC cohort study. Serum albumin levels, serum CRP levels and the CAR were prospectively recorded at baseline, and at each consultation thereafter, as follows: 1, 3, 6, 9, 12, 18, 24 and 36 months. Frailty was defined as a G8-index ≤ 14. The primary endpoint was longitudinal variation in the CAR during the study follow-up. Two clusters in the

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Benito-León, Julián, Mª Dolores del Castillo, Alberto Estirado, Ritwik Ghosh, Souvik Dubey, and J. Ignacio Serrano. "Using Unsupervised Machine Learning to Identify Age- and Sex-Independent Severity Subgroups Among Patients with COVID-19: Observational Longitudinal Study." Journal of Medical Internet Research 23, no. 5 (2021): e25988. http://dx.doi.org/10.2196/25988.

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Background Early detection and intervention are the key factors for improving outcomes in patients with COVID-19. Objective The objective of this observational longitudinal study was to identify nonoverlapping severity subgroups (ie, clusters) among patients with COVID-19, based exclusively on clinical data and standard laboratory tests obtained during patient assessment in the emergency department. Methods We applied unsupervised machine learning to a data set of 853 patients with COVID-19 from the HM group of hospitals (HM Hospitales) in Madrid, Spain. Age and sex were not considered while b

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Usami, Satoshi. "Constrained k -means on cluster proportion and distances among clusters for longitudinal data analysis." Japanese Psychological Research 56, no. 4 (2014): 361–72. http://dx.doi.org/10.1111/jpr.12060.

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Castillo-Mayén, Rosario, Bárbara Luque, Sebastián Jesús Rubio, et al. "Positive psychological profiles based on perceived health clustering in patients with cardiovascular disease: a longitudinal study." BMJ Open 11, no. 5 (2021): e050818. http://dx.doi.org/10.1136/bmjopen-2021-050818.

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ObjectivesPsychological well-being and sociodemographic factors have been associated with cardiovascular health. Positive psychological well-being research is limited in the literature; as such, this study aimed to investigate how patients with cardiovascular disease could be classified according to their perceived mental and physical health, and to identify positive psychological profiles based on this classification and test their stability over time.Design and settingLongitudinal study with patients from a public hospital located in Córdoba (Spain).ParticipantsThis study comprised 379 cardi

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Liang, Junjie, Weijieying Ren, Hanifi Sahar, and Vasant Honavar. "Inducing Clusters Deep Kernel Gaussian Process for Longitudinal Data." Proceedings of the AAAI Conference on Artificial Intelligence 38, no. 12 (2024): 13736–43. http://dx.doi.org/10.1609/aaai.v38i12.29279.

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We consider the problem of predictive modeling from irregularly and sparsely sampled longitudinal data with unknown, complex correlation structures and abrupt discontinuities. To address these challenges, we introduce a novel inducing clusters longitudinal deep kernel Gaussian Process (ICDKGP). ICDKGP approximates the data generating process by a zero-mean GP with a longitudinal deep kernel that models the unknown complex correlation structure in the data and a deterministic non-zero mean function to model the abrupt discontinuities. To improve the scalability and interpretability of ICDKGP, w

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Schramm, Catherine, Céline Vial, Anne-Catherine Bachoud-Lévi, and Sandrine Katsahian. "Clustering of longitudinal data by using an extended baseline: A new method for treatment efficacy clustering in longitudinal data." Statistical Methods in Medical Research 27, no. 1 (2015): 97–113. http://dx.doi.org/10.1177/0962280215621591.

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Heterogeneity in treatment efficacy is a major concern in clinical trials. Clustering may help to identify the treatment responders and the non-responders. In the context of longitudinal cluster analyses, sample size and variability of the times of measurements are the main issues with the current methods. Here, we propose a new two-step method for the Clustering of Longitudinal data by using an Extended Baseline. The first step relies on a piecewise linear mixed model for repeated measurements with a treatment-time interaction. The second step clusters the random predictions and considers sev

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Hajek, André, Razak M. Gyasi, Karel Kostev, et al. "Multimorbidity clusters and their contribution to well-being among the oldest old: Results based on a nationally representative sample in Germany." Archives of Gerontology and Geriatrics 130, March (2025): 105726. https://doi.org/10.1016/j.archger.2024.105726.

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Our aim was to identify multimorbidity clusters and, in particular, to examine their contribution to well-being outcomes among the oldest old in Germany. Methods: Data were taken from the large nationally representative D80+ study including community-dwelling and institutionalized individuals aged 80 years and over residing in Germany (n=8,773). The mean age was 85.6 years (SD: 4.1). Based on 21 chronic conditions, latent class analysis was carried out to explore multimorbidity (≥2 chronic conditions) clusters. Widely used tools were applied to quantify well-being outcomes. Results Approxim

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Roell, Kyle R., Quaker E. Harmon, Kari Klungsøyr, Anna E. Bauer, Per Magnus, and Stephanie M. Engel. "Clustering Longitudinal Blood Pressure Trajectories to Examine Heterogeneity in Outcomes Among Preeclampsia Cases and Controls." Hypertension 77, no. 6 (2021): 2034–44. http://dx.doi.org/10.1161/hypertensionaha.120.16239.

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Preeclampsia is a heterogeneous disease characterized by new onset of hypertension along with signs of organ damage, affects 2% to 8% of pregnancies, and can result in serious complications to the mother and her child. There is little empirical evidence on the clinical importance of differences in blood pressure trajectories over the course of pregnancy, particularly in pregnancies affected by preeclampsia. We undertook an investigation of longitudinal changes in gestational blood pressure in a nested case-control study of preeclampsia in MoBa (Norwegian Mother, Father and Child Cohort Study).

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Wister, Andrew, Theodore Cosco, Barbara Mitchell, and Ian Fyffe. "Health behaviors and multimorbidity resilience among older adults using the Canadian Longitudinal Study on Aging." International Psychogeriatrics 32, no. 1 (2019): 119–33. http://dx.doi.org/10.1017/s1041610219000486.

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ABSTRACTObjective:Recently, there has been a growing interest in examining forms of illness-related resilience. This study examines associations between lifestyle behavioral factors and multimorbidity resilience (MR) among older adults.Methods:Using baseline data from the Comprehensive Cohort of the Canadian Longitudinal Study on Aging, we studied 6,771 Canadian adults aged 65 or older who reported two or more of 27 chronic conditions, and three multimorbidity clusters: cardiovascular/metabolic, osteo-related, and mental health. Associations were explored using hierarchical linear regression m

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Azad, Md Khurshidul, Peshala T. Gamage, Rajkumar Dhar, Richard H. Sandler, and Hansen A. Mansy. "Postural and longitudinal variability in seismocardiographic signals." Physiological Measurement, January 13, 2023. http://dx.doi.org/10.1088/1361-6579/acb30e.

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Abstract Objective— Low frequency cardiovascular vibrations detectable on the chest surface (termed seismocardiography or SCG) may be useful for non-invasive diagnosis and monitoring of various cardiovascular conditions. A potential limitation of using SCG for longitudinal patient monitoring is the existence of intra-subject variability, which can contribute to errors in calculating SCG features. Improved understanding of the contribution of intra-subject variability sources may lead to improved SCG utility. This study aims to quantify postural and longitudinal SCG variability in healthy resti

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Rauchmann, Boris-Stephan, Ersin Ersözlü, Dorothea Luedecke, Nicolai Franzmeier, and Robert Perneczky. "Multimodal and longitudinal characterization of distinct tau and atrophy clusters in Alzheimer’s disease spectrum." Scientific Reports 15, no. 1 (2025). https://doi.org/10.1038/s41598-025-98338-9.

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Abstract Neuropathological and neuroimaging studies have identified several (endo-)phenotypes of Alzheimer’s disease (AD), suggesting a substantial heterogeneity in cerebral atrophy and tau spreading patterns. We included in our study a total of 320 participants, including healthy controls (N = 154) and patients across the AD spectrum (N = 166). We identified clusters of cerebral atrophy and tau PET uptake using a data-driven and similarity-based clustering approach, aiming to examine regional abnormality patterns in both modalities and differences in the clinical, cognitive, and biomarker cha

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Cai, Yanxiu, Jing Li, Liuna Bi, Linlin Wang, and Jing Han. "Symptom Cluster Trajectories Among Patients With Hepatocellular Carcinoma After Partial Hepatectomy: A Longitudinal Study." Journal of Clinical Nursing, December 12, 2024. https://doi.org/10.1111/jocn.17624.

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ABSTRACTAimsTo investigate types of symptom clusters in patients with hepatocellular carcinoma after partial hepatectomy and explore symptom cluster trajectories over time.DesignA longitudinal observational study was conducted.MethodsSymptoms of patients with hepatocellular carcinoma were assessed on the second day, seventh day, third week, fourth week and twelfth week post‐operation using the MD Anderson Symptom Assessment Inventory and the Symptom Module for Primary Liver Cancer. Symptom clusters were extracted using exploratory factor analysis, and symptom cluster trajectories were analysed

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Lorbeer, Roberto, Susanne Rospleszcz, Christopher L. Schlett, et al. "Association of antecedent cardiovascular risk factor levels and trajectories with cardiovascular magnetic resonance-derived cardiac function and structure." Journal of Cardiovascular Magnetic Resonance 23, no. 1 (2021). http://dx.doi.org/10.1186/s12968-020-00698-w.

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Abstract Background The association of longitudinal trajectories of cardiovascular risk factors with cardiovascular magnetic resonance (CMR)-measures of cardiac structure and function in the community is not well known. Therefore we aimed to relate risk factor levels from different examination cycles to CMR-measures of the left ventricle (LV) and right ventricle in a population-based cohort. Methods We assessed conventional cardiovascular disease risk factors in 349 participants (143 women; aged 25–59 years) at three examination cycles (Exam 1 [baseline], at Exam 2 [7-years follow-up] and at E

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Suhag, A., T. L. Webb, and J. Holmes. "Longitudinal clustering of risk behaviours and their association with multimorbidity in older adults." European Journal of Public Health 33, Supplement_2 (2023). http://dx.doi.org/10.1093/eurpub/ckad160.363.

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Abstract Smoking, unhealthy nutrition, alcohol consumption, and physical inactivity (SNAP risk behaviours) are leading risk factors for multimorbidity and tend to cluster within specific subpopulations. Little is known about how these clusters change with age in older adults and their association with multimorbidity. Repeated measures latent class analysis using data from Waves 4-8 of the English Longitudinal Study of Ageing (n = 4759) identified clusters of respondents with common patterns of SNAP behaviours over time. Disease status (from Wave 9) was used to assess eight body system disorder

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