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En este estudio se ha aplicado el método de ajuste Cosinor, por mínimos cuadrados a una función senoidal, a los datos de frecuencia cardiaca (FC) de 203 pacientes con depresión, registrados de manera continua durante un transcurso de 18 meses por un dispositivo wearable, en condiciones de vida cotidiana. El objetivo es evaluar si la posible pérdida del ritmo circadiano, modulador de la frecuencia cardiaca, esta asociada a una depresión mas severa. Estos datos coexisten con resultados de pruebas médicas para la evaluación de la sintomatología de la depresión, como el Patient Health Questionnaire (PHQ-8) [1] y el Inventory of Depressive Symptomatology (IDS) [2], que permiten determinar la presencia y gravedad del trastorno. El estudio U de Mann-Whitney sobre el ajuste Cosinor de la frecuencia cardiaca, sincronizado a los registros de PHQ-8 e IDS basales de cada paciente, ha permitido encontrar diferencias significativas según la gravedad del trastorno: la amplitud derivada del ajuste Cosinor (es decir, la oscilación de la FC a lo largo del día) es significativamente menor en aquellos pacientes con depresión severa. Este resultado se cumple en todas las ventanas temporales de datos sobre las que se ha realizado el ajuste Cosinor (1 día, 1 semana y 2 semanas), así como para los ajustes sincronizados con PHQ-8 e IDS. Esto supone una pérdida en la circadianidad cuando la depresión es severa.

Item does not contain fulltext, This study aimed at investigating the change in social eating problems from diagnosis to 24 months after primary (chemo)radiotherapy and its associations with swallowing, oral function, and nutritional status, in addition to the clinical, personal, physical, psychological, social, and lifestyle dimensions. Adult patients from the NETherlands QUality of life and BIomedical Cohort (NET-QUBIC) treated with curative intent with primary (chemo)radiotherapy for newly-diagnosed HNC and who provided baseline social eating data were included. Social eating problems were measured at baseline and at 3-, 6-, 12-, and 24-month follow-up, with hypothesized associated variables at baseline and at 6 months. Associations were analyzed through linear mixed models. Included patients were 361 (male: 281 (77.8%), age: mean = 63.3, SD = 8.6). Social eating problems increased at the 3-month follow-up and decreased up to 24 months (F = 33.134, p < 0.001). The baseline-to-24 month change in social eating problems was associated with baseline swallowing-related quality of life (F = 9.906, p < 0.001) and symptoms (F = 4.173, p = 0.002), nutritional status (F = 4.692, p = 0.001), tumor site (F = 2.724, p = 0.001), age (F = 3.627, p = 0.006), and depressive symptoms (F = 5.914, p < 0.001). The 6-24-month change in social eating problems was associated with a 6-month nutritional status (F = 6.089, p = 0.002), age (F = 5.727, p = 0.004), muscle strength (F = 5.218, p = 0.006), and hearing problems (F = 5.155, p = 0.006). Results suggest monitoring social eating problems until 12-month follow-up and basing interventions on patients' features.

01 juni 2023, Item does not contain fulltext, PURPOSE: In daily practice, oncologists and nurses frequently need to decide whether or not to refer a patient for professional mental health care. We explored the indicators oncologists and nurses use to judge the need for professional mental health care in patients with cancer. METHODS: In a qualitative study, oncologists (n = 8) and nurses (n = 6) were each asked to select patients who were or were not referred for professional mental health care (total n = 75). During a semi-structured interview, they reflected on their decision concerning the possible referral of the patient. Thematic analysis was used to analyze the data. RESULTS: Respondents reported using a strategy when judging whether professional mental health care was needed. They allowed patients time to adjust, while monitoring patients' psychological well-being, especially if patients exhibited specific risk factors. Risk and protective factors for emotional problems included personal, social, and disease- and treatment-related factors. Respondents considered referral for professional mental health care when they noted specific indicators of emotional problems. These indicators included lingering or increasing emotions, a disproportionate intensity of emotions, and emotions with a negative impact on a patient's daily life or treatment. CONCLUSIONS: This study identified the strategy, risk and protective factors, and the indicators of emotional problems used by oncologists and nurses when judging the need for professional mental health care in patients with cancer. IMPLICATIONS FOR CANCER SURVIVORS: Oncologists and nurses can play an important role in the identification of patients in need of professional mental health care.

Contains fulltext : 294870.pdf (Publisher’s version ) (Open Access), PURPOSE: The aim of this prospective cohort study was to estimate the relationship between the course of HRQOL in the first 2 years after diagnosis and treatment of head and neck cancer (HNC) and personal, clinical, psychological, physical, social, lifestyle, HNC-related, and biological factors. METHODS: Data were used from 638 HNC patients of the NETherlands QUality of life and BIomedical Cohort study (NET-QUBIC). Linear mixed models were used to investigate factors associated with the course of HRQOL (EORTC QLQ-C30 global quality of life (QL) and summary score (SumSc)) from baseline to 3, 6, 12, and 24 months after treatment. RESULTS: Baseline depressive symptoms, social contacts, and oral pain were significantly associated with the course of QL from baseline to 24 months. Tumor subsite and baseline social eating, stress (hyperarousal), coughing, feeling ill, and IL-10 were associated with the course of SumSc. Post-treatment social contacts and stress (avoidance) were significantly associated with the course of QL from 6 to 24 months, and social contacts and weight loss with the course of SumSc. The course of SumSc from 6 to 24 months was also significantly associated with a change in financial problems, speech problems, weight loss, and shoulder problems between baseline and 6 months. CONCLUSION: Baseline clinical, psychological, social, lifestyle, HNC-related, and biological factors are associated with the course of HRQOL from baseline to 24 months after treatment. Post-treatment social, lifestyle, and HNC-related factors are associated with the course of HRQOL from 6 to 24 months after treatment.

Item does not contain fulltext, The aim of this study was to investigate changes in sexuality and sexual dysfunction in head and neck cancer (HNC) patients in the first two years after treatment, in relation to the type of treatment. Data were used of 588 HNC patients participating in the prospective NETherlands Quality of life and Biomedical Cohort Study (NET-QUBIC) from diagnosis to 3, 6, 12 and 24 months after treatment. Primary outcome measures were the International Index of Erectile Function (IIEF) and the Female Sexual Function Index (FSFI). The total scores of the IIEF and FSFI were dichotomized into sexual (dys)function. In men, type of treatment was significantly associated with change in erectile function, orgasm, satisfaction with intercourse, and overall satisfaction. In women, type of treatment was significantly associated with change in desire, arousal, and orgasm. There were significant differences between treatment groups in change in dysfunctional sexuality. A deterioration in sexuality and sexual dysfunction from baseline to 3 months after treatment was observed especially in patients treated with chemoradiation. Changes in sexuality and sexual dysfunction in HNC patients were related to treatment, with an acute negative effect of chemoradiation. This effect on the various domains of sexuality seems to differ between men and women.

Objective: To investigate the impact of the COVID-19 pandemic on physical, psychological, and social aspects of health-related quality of life (HRQOL) among head and neck cancer (HNC) survivors. Materials and methods: Prospectively collected data from the NETherlands QUality of life and BIomedical Cohort study in HNC were used. All patients were diagnosed and treated before the COVID-19 pandemic. Patient reported outcome measures (PROMs) collected 24 and 36 months after treatment (M24 and M36) were compared between survivors who completed both assessments before the COVID-19 pandemic and those who completed M24 before but M36 during the pandemic. Personal, clinical, physical, psychological, social, and lifestyle characteristics of the survivors assessed at baseline or M24 were investigated as potential effect modifiers. Results: In total, 318 HNC survivors were included, of which 199 completed both M24 and M36 before the COVID-19 pandemic and 119 completed M24 before but M36 during the pandemic. Changes in HRQOL between 24 and 36 months follow-up did not differ between the two groups for any of the PROMs. Nevertheless, in some subgroups of HNC survivors the COVID-19 pandemic negatively affected the course of HRQOL for several PROMs while it positively affected the course of HRQOL for other PROMs. Conclusions: The COVID-19 pandemic did not affect HRQOL in HNC survivors in general, but some subgroups were affected in a positive and others in a negative way.

BACKGROUND: Structural brain alterations are observed in major depressive disorder (MDD). However, MDD is a highly heterogeneous disorder and specific clinical or biological characteristics of depression might relate to specific structural brain alterations. Clinical symptom subtypes of depression, as well as immuno-metabolic dysregulation associated with subtypes of depression, have been associated with brain alterations. Therefore, we examined if specific clinical and biological characteristics of depression show different brain alterations compared to overall depression. METHOD: Individuals with and without depressive and/or anxiety disorders from the Netherlands Study of Depression and Anxiety (NESDA) (328 participants from three timepoints leading to 541 observations) and the Mood Treatment with Antidepressants or Running (MOTAR) study (123 baseline participants) were included. Symptom profiles (atypical energy-related profile, melancholic profile and depression severity) and biological indices (inflammatory, metabolic syndrome, and immuno-metabolic indices) were created. The associations of the clinical and biological profiles with depression-related structural brain measures (anterior cingulate cortex [ACC], orbitofrontal cortex, insula, and nucleus accumbens) were examined dimensionally in both studies and meta-analysed. RESULTS: Depression severity was negatively associated with rostral ACC thickness (B = -0.55, pFDR = 0.03), and melancholic symptoms were negatively associated with caudal ACC thickness (B = -0.42, pFDR = 0.03). The atypical energy-related symptom profile and immuno-metabolic indices did not show a consistent association with structural brain measures across studies. CONCLUSION: Overall depression- and melancholic symptom severity showed a dose-response relationship with reduced ACC thickness. No associations between immuno-metabolic dysregulation and structural brain alterations were found, suggesting that although both are associated with

Introduction Depression, cardiovascular diseases and diabetes are among the major non-communicable diseases, leading to significant disability and mortality worldwide. These diseases may share environmental and genetic determinants associated with multimorbid patterns. Stressful early-life events are among the primary factors associated with the development of mental and physical diseases. However, possible causative mechanisms linking early life stress (ELS) with psycho-cardio-metabolic (PCM) multi-morbidity are not well understood. This prevents a full understanding of causal pathways towards the shared risk of these diseases and the development of coordinated preventive and therapeutic interventions. Methods and analysis This paper describes the study protocol for EarlyCause, a large-scale and inter-disciplinary research project funded by the European Union’s Horizon 2020 research and innovation programme. The project takes advantage of human longitudinal birth cohort data, animal studies and cellular models to test the hypothesis of shared mechanisms and molecular pathways by which ELS shapes an individual’s physical and mental health in adulthood. The study will research in detail how ELS converts into biological signals embedded simultaneously or sequentially in the brain, the cardiovascular and metabolic systems. The research will mainly focus on four biological processes including possible alterations of the epigenome, neuroendocrine system, inflammatome, and the gut microbiome. Life-course models will integrate the role of modifying factors as sex, socioeconomics, and lifestyle with the goal to better identify groups at risk as well as inform promising strategies to reverse the possible mechanisms and/or reduce the impact of ELS on multi-morbidity development in high-risk individuals. These strategies will help better manage the impact of multi-morbidity on human health and the associated risk.

Understanding the association between autonomic nervous system [ANS] function and brain morphology across the lifespan provides important insights into neurovisceral mechanisms underlying health and disease. Resting-state ANS activity, indexed by measures of heart rate [HR] and its variability [HRV] has been associated with brain morphology, particularly cortical thickness [CT]. While findings have been mixed regarding the anatomical distribution and direction of the associations, these inconsistencies may be due to sex and age differences in HR/HRV and CT. Previous studies have been limited by small sample sizes, which impede the assessment of sex differences and aging effects on the association between ANS function and CT. To overcome these limitations, 20 groups worldwide contributed data collected under similar protocols of CT assessment and HR/HRV recording to be pooled in a mega-analysis (N = 1,218 (50.5% female), mean age 36.7 years (range: 12-87)). Findings suggest a decline in HRV as well as CT with increasing age. CT, particularly in the orbitofrontal cortex, explained additional variance in HRV, beyond the effects of aging. This pattern of results may suggest that the decline in HRV with increasing age is related to a decline in orbitofrontal CT. These effects were independent of sex and specific to HRV; with no significant association between CT and HR. Greater CT across the adult lifespan may be vital for the maintenance of healthy cardiac regulation via the ANS-or greater cardiac vagal activity as indirectly reflected in HRV may slow brain atrophy. Findings reveal an important association between CT and cardiac parasympathetic activity with implications for healthy aging and longevity that should be studied further in longitudinal research.

Introduction: Depression, cardiovascular diseases and diabetes are among the major non-communicable diseases, leading to significant disability and mortality worldwide. These diseases may share environmental and genetic determinants associated with multimorbid patterns. Stressful early-life events are among the primary factors associated with the development of mental and physical diseases. However, possible causative mechanisms linking early life stress (ELS) with psycho-cardio-metabolic (PCM) multi-morbidity are not well understood. This prevents a full understanding of causal pathways towards the shared risk of these diseases and the development of coordinated preventive and therapeutic interventions. Methods and analysis: This paper describes the study protocol for EarlyCause, a large-scale and inter-disciplinary research project funded by the European Union’s Horizon 2020 research and innovation programme. The project takes advantage of human longitudinal birth cohort data, animal studies and cellular models to test the hypothesis of shared mechanisms and molecular pathways by which ELS shapes an individual’s physical and mental health in adulthood. The study will research in detail how ELS converts into biological signals embedded simultaneously or sequentially in the brain, the cardiovascular and metabolic systems. The research will mainly focus on four biological processes including possible alterations of the epigenome, neuroendocrine system, inflammatome, and the gut microbiome. Life-course models will integrate the role of modifying factors as sex, socioeconomics, and lifestyle with the goal to better identify groups at risk as well as inform promising strategies to reverse the possible mechanisms and/or reduce the impact of ELS on multi-morbidity development in high-risk individuals. These strategies will help better manage the impact of multi-morbidity on human health and the associated risk.

Introduction Depression, cardiovascular diseases and diabetes are among the major non-communicable diseases, leading to significant disability and mortality worldwide. These diseases may share environmental and genetic determinants associated with multimorbid patterns. Stressful early-life events are among the primary factors associated with the development of mental and physical diseases. However, possible causative mechanisms linking early life stress (ELS) with psycho-cardio-metabolic (PCM) multi-morbidity are not well understood. This prevents a full understanding of causal pathways towards the shared risk of these diseases and the development of coordinated preventive and therapeutic interventions. Methods and analysis This paper describes the study protocol for EarlyCause, a large-scale and inter-disciplinary research project funded by the European Union’s Horizon 2020 research and innovation programme. The project takes advantage of human longitudinal birth cohort data, animal studies and cellular models to test the hypothesis of shared mechanisms and molecular pathways by which ELS shapes an individual’s physical and mental health in adulthood. The study will research in detail how ELS converts into biological signals embedded simultaneously or sequentially in the brain, the cardiovascular and metabolic systems. The research will mainly focus on four biological processes including possible alterations of the epigenome, neuroendocrine system, inflammatome, and the gut microbiome. Life-course models will integrate the role of modifying factors as sex, socioeconomics, and lifestyle with the goal to better identify groups at risk as well as inform promising strategies to reverse the possible mechanisms and/or reduce the impact of ELS on multi-morbidity development in high-risk individuals. These strategies will help better manage the impact of multi-morbidity on human health and the associated risk.