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Research on antidepressant-related weight changes over more than 12 months is scarce and adjustment for the effects of depressive episodes has rarely been applied. Accordingly, our aim was to assess the associations of the use of any antidepressants, subclasses of antidepressant and specific compounds prior to baseline and during a 5.5-year follow-up with changes in adiposity markers, and the effect of sex on these associations, with adjustment for multiple confounders including the effects of depressive episodes and their severity. Data stemmed from a prospective cohort study including 2479 randomly selected 35-66 year-old residents of an urban area (mean age 49.9 years, 53.3% women) who underwent physical and psychiatric evaluations at baseline and follow-up. Weight, height, waist circumference, and body fat were measured by trained nurses and information on diagnosis and antidepressant use prior to baseline and during follow-up was collected through standardized interviews. In the fully adjusted models, the number of antidepressants, mainly SSRIs and TCAs, used prior to baseline, was associated with a lower increase of body-mass index (BMI, ß (95%CI) = -0.12 (-0.19, -0.05)) and waist circumference (ß = -0.28 (-0.56, -0.01)), whereas participants treated with antidepressants during the follow-up had a steeper increase in BMI (ß = 0.32 (0.13, 0.50)) and waist circumference (ß = 1.23 (0.44, 2.01)). Within the class of SSRIs, the use of fluoxetine, sertraline or escitalopram during follow-up was associated with a steeper increase in adiposity markers. The associations of SSRIs with BMI and waist circumference were only observed when the SSRIs were used during the second period of the follow-up. Sex did not moderate these associations. Our findings suggest an increase of adiposity markers during sustained treatment with TCAs and SSRIs, which however return to normal levels after cessation of treatment. Hence, the benefit of long-term administration of these antidepressants should be carefully weighed against the potential risk of weight gain.
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Adiposidad , Antidepresivos , Índice de Masa Corporal , Circunferencia de la Cintura , Humanos , Masculino , Femenino , Persona de Mediana Edad , Adiposidad/efectos de los fármacos , Antidepresivos/uso terapéutico , Adulto , Anciano , Estudios Prospectivos , Estudios de Seguimiento , Inhibidores Selectivos de la Recaptación de Serotonina/uso terapéuticoRESUMEN
Over 50% of children with a parent with severe mental illness will develop mental illness by early adulthood. However, intergenerational transmission of risk for mental illness in one's children is insufficiently considered in clinical practice, nor is it sufficiently utilised into diagnostics and care for children of ill parents. This leads to delays in diagnosing young offspring and missed opportunities for protective actions and resilience strengthening. Prior twin, family, and adoption studies suggest that the aetiology of mental illness is governed by a complex interplay of genetic and environmental factors, potentially mediated by changes in epigenetic programming and brain development. However, how these factors ultimately materialise into mental disorders remains unclear. Here, we present the FAMILY consortium, an interdisciplinary, multimodal (e.g., (epi)genetics, neuroimaging, environment, behaviour), multilevel (e.g., individual-level, family-level), and multisite study funded by a European Union Horizon-Staying-Healthy-2021 grant. FAMILY focuses on understanding and prediction of intergenerational transmission of mental illness, using genetically informed causal inference, multimodal normative prediction, and animal modelling. Moreover, FAMILY applies methods from social sciences to map social and ethical consequences of risk prediction to prepare clinical practice for future implementation. FAMILY aims to deliver: (i) new discoveries clarifying the aetiology of mental illness and the process of resilience, thereby providing new targets for prevention and intervention studies; (ii) a risk prediction model within a normative modelling framework to predict who is at risk for developing mental illness; and (iii) insight into social and ethical issues related to risk prediction to inform clinical guidelines.
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BACKGROUND: Lack of physical activity (PA) and high sedentary behavior (SB) may enhance mental health problems, including depression, and are associated with increased mortality. Aside from a large body of research on major depressive disorder (MDD) assessed as an entity and either PA or SB, few studies have examined associations among subtypes of MDD and both PA and SB simultaneously derived from wrist-worn accelerometers. Accordingly, our aim was to explore the associations among MDD subtypes (atypical, melancholic, combined atypical-melancholic and unspecified) and four actigraphy-derived behaviors combining the levels of PA and SB. METHODS: The sample stemmed from CoLaus|PsyCoLaus, a population-based cohort study, consisting of 2375 participants (55.1% women; mean age: 62.4 years) who wore an accelorometer for 14 days after a physical exam and subsequently completed a semi-structured psychiatric interview. Activity behaviors were defined according to the combination of the levels of moderate-to-vigorous intensity PA and SB. Associations of remitted MDD subtypes, current MDD and physical inactivity behaviors were assessed using multinomial logistic regression, adjusted for socio-demographic characteristics, a history of anxiety, alcohol and drug use disorders and cardiovascular risk factors. RESULTS: In the fully adjusted model, participants with the remitted combined atypical-melancholic subtype had a higher risk of being more physically inactive. CONCLUSIONS: Our findings suggest that low PA and high SB are not restricted to the duration of depressive episodes in people with atypical and melancholic episodes. The lack of PA and high SB in this group of depressive patients exposes them to an additional long-term cardiovascular risk and measures to increase PA may be particularly fruitful in this MDD subgroup.
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Trastorno Depresivo Mayor , Humanos , Femenino , Persona de Mediana Edad , Masculino , Trastorno Depresivo Mayor/diagnóstico , Trastorno Depresivo Mayor/epidemiología , Trastorno Depresivo Mayor/psicología , Conducta Sedentaria , Estudios de Cohortes , Ejercicio Físico , DepresiónRESUMEN
The purpose of this naturalistic, prospective study was to identify risk factors for mood disorders in offspring of parents with bipolar disorder (BPD) using the discordant-sibling design by comparing premorbid psychopathology or symptoms, temperament, personality traits and coping style as well as the perception of family-related characteristics among affected and unaffected siblings within the same family. This approach controls for confounding by unmeasured genetic and environmental factors shared within families. Our sample comprised 24 families of a parent with BPD with at least one child that developed BPD or major depressive disorder (n = 31), and at least one child who did not. Offspring were followed for a mean duration of 16.2 (s.d: 4.6) years. Information was collected from the offspring themselves. Generalized linear mixed models only revealed differences in three dimensions of the Dimension of Temperament Survey-Revised (DOTS-R) version: Offspring with mood disorders scored higher on "Approach-withdrawal", "Rhythmicity for daily habits", and "Task orientation" than their unaffected siblings. The higher scores, and not lower scores as expected, on these temperament dimensions observed in offspring that subsequently developed mood disorders may reflect increased vulnerability, but they could also mirror premorbid mood swings or strategies to cope with them.
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Trastorno Bipolar , Hijo de Padres Discapacitados , Trastorno Depresivo Mayor , Niño , Humanos , Trastorno Bipolar/genética , Trastorno Bipolar/diagnóstico , Trastornos del Humor/etiología , Hermanos , Trastorno Depresivo Mayor/genética , Estudios Prospectivos , Padres , Factores de RiesgoRESUMEN
OBJECTIVE: Whereas the risk and course of psychopathology in offspring of parents with bipolar disorder (BD) have been the primary focus of high-risk offspring studies to date, functional outcomes have not been given much attention. We present a systematic review of functional outcomes and quality of life (QoL) across development in offspring of parents with BD and aim to explore the role of offspring psychopathology in these outcomes. METHOD: We searched Embase, MEDLINE, PsycINFO, Web of Science, Cochrane Central, and Google Scholar from inception to June 24, 2022, for studies referring to functional outcomes (global, social, academic or occupational) or QoL in offspring of parents with BD. RESULTS: From the 6470 records identified, 39 studies were retained (global = 17; social = 17; school = 16; occupational = 3; QoL = 5), including 13 studies that examined multiple domains. For all domains, high heterogeneity was found in study methods and quality. Only 56 % of studies adjusted for offspring psychopathology, impeding interpretation. Global and social functioning generally seemed to be impaired among older offspring (>16 years). Academic performance appeared to be unaffected. School behavior, occupational functioning, and QoL showed mixed results. Offspring psychopathology is associated with social functioning, but the relationship of offspring psychopathology with other domains is less clear. CONCLUSION: Studies on functional outcome in offspring of parents with BD show predominantly mixed results. Inconsistent adjustment of psychopathology and age limits conclusive interpretation. Functional outcomes should be prioritized as research topics in high-risk studies and the potential associations between familial risk status, offspring psychopathology, and age may inform prevention strategies.
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Trastorno Bipolar , Hijo de Padres Discapacitados , Humanos , Trastorno Bipolar/genética , Calidad de Vida , Padres , PsicopatologíaRESUMEN
OBJECTIVES: To assess 1) the longitudinal stability of the atypical, melancholic, combined atypical-melancholic and the unspecified subtypes of major depressive disorder (MDD) according to the diagnostic and statistical manual of mental disorders (DSM -IV) specifiers in older adults, and 2) the effect of mild cognitive impairment (MCI) on the stability of these subtypes. DESIGN: Prospective cohort study with a 5.1 year-follow-up. SETTING: Population-based cohort from Lausanne, Switzerland. PARTICIPANTS: A total of 1,888 participants (mean age: 61.7 years, women: 69.2%) with at least two psychiatric evaluations, one after the age of 65 years. MEASUREMENTS: Semistructured diagnostic interview to assess lifetime and 12-month DSM-IV Axis-1 disorders at each investigation and neuro-cognitive tests to identify MCI in participants aged 65 years and over. Associations between lifetime MDD status before and 12-month depression status after the follow-up were assessed using multinomial logistic regression. The effect of MCI on these associations was assessed by testing interactions between MDD subtypes and MCI status. RESULTS: 1) Associations between depression status before and after the follow-up were observed for atypical (adjusted OR [95% CI] = 7.99 [3.13; 20.44]), combined (5.73 [1.50; 21.90]) and unspecified (2.14 [1.15; 3.98]), but not melancholic MDD (3.36 [0.89; 12.69]). However, there was a certain degree of overlap across the subtypes, particularly between melancholic MDD and the other subtypes. 2) No significant interactions were found between MCI and lifetime MDD subtypes regarding depression status after follow-up. CONCLUSION: The strong stability of the atypical subtype in particular highlights the need for identifying this subtype in clinical and research settings, given its well-documented links to inflammatory and metabolic markers.
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Trastorno Depresivo Mayor , Humanos , Femenino , Anciano , Trastorno Depresivo Mayor/diagnóstico , Trastorno Depresivo Mayor/epidemiología , Trastorno Depresivo Mayor/psicología , Estudios Prospectivos , Depresión , Modelos Logísticos , Suiza/epidemiologíaRESUMEN
PURPOSE: Previous population-based studies have partially provided inconsistent results regarding the co-variates of chronic depression, which were likely to be attributable to methodological limitations. The present paper that compared people with chronic major depressive disorder (MDD), non-chronic MDD and no mood disorder in the community focused on specific atypical and melancholic depression symptoms and subtypes of MDD, family history (FH) of mood disorders, measured physical cardio-vascular risk factors (CVRF), personality traits, coping style and adverse life-events. METHODS: Data stemmed from a population-based cohort including 3618 participants (female 53%, n=1918; mean age 50.9 years, s.d. 8.8 years). Among them 563 had a lifetime history of chronic MDD, 1060 of non-chronic MDD and 1995 of no mood disorder. Diagnostic and FH information were elicited through semi-structured interviews, CVRF were assessed through physical investigations. RESULTS: The major findings were that chronic MDD was associated with increase in appetite/weight and suicidal ideation/attempts during the most severe episode, higher exposure to life-events in adulthood, higher levels of neuroticism, lower levels of extraversion and lower levels of informal help-seeking behavior but less frequent FH of MDD compared to non-chronic MDD. CONCLUSION: Chronic MDD is associated with a series of potential modifiable risk factors which are accessible via psychotherapeutic approaches that may improve the course of chronic MDD.
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Depresión , Trastorno Depresivo Mayor , Humanos , Femenino , Persona de Mediana Edad , Trastorno Depresivo Mayor/diagnóstico , Factores de RiesgoRESUMEN
BACKGROUND: The occurrence of psychotic features within mood episodes in patients with bipolar I disorder (BD I) has been associated in some studies with a more severe clinical and socio-professional profile. In contrast, other studies establishing the associations of psychotic features in BD I, and in particular of mood-congruent (MC) and mood-incongruent (MI) features, with clinical characteristics have yielded contradictory results. However, many pre-existing studies have been affected by serious methodological limitations. Using a sample of thoroughly assessed patients with BD I our aims were to: (1) establish the proportion of those with MI and MC features, and (2) compare BD I patients with and without psychotic features as well as those with MI to those with MC features on a wide array of socio-demographic and clinical characteristics including course, psychiatric comorbidity and treatment. METHODS: A sample of 162 treated patients with BD I (60.5% female, mean age = 41.4 (s.d: 10.2) years) was recruited within a large family study of mood disorders. Clinical, course and treatment characteristics relied on information elicited through direct diagnostic interviews, family history reports and medical records. RESULTS: (1) A total of 96 patients (59.3%) had experienced psychotic features over their lifetime. Among them, 44.8% revealed MI features at least once in their lives. (2) Patients with psychotic features were much less likely to be professionally active, revealed alcohol abuse more frequently and used health care, particularly inpatient treatment, more frequently than those without psychotic features. Within patients with psychotic symptoms, those with MI features showed more clinical severity in terms of a higher likelihood of reporting hallucinations, suicidal attempts and comorbid cannabis dependence. CONCLUSION: Our data provide additional support for both the distinction between BD-I with and without psychotic features as well as the distinction between MI and MC psychotic features. The more severe course of patients with psychotic features, and particularly those with MI psychotic features, highlights the need for thorough psychopathological evaluations to assess the presence of these symptoms to install appropriate treatment.
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OBJECTIVES: Anxiety disorders are common in the general population and can have a major impact on a person's behavior. These disorders may also affect shopping and cooking habits, which may lead to a less healthy diet. Thus, we aimed to assess whether any current anxiety disorder or current specific anxiety disorders were associated with diet quality. METHODS: Data of 6392 observations of 3993 participants were retrieved from 2 data waves of a population-based prospective cohort study conducted in an urban area in Switzerland. To assess the associations of anxiety status with diet quality measured by the Alternate Healthy Eating Index (AHEI), we performed cross-sectional multilevel random-effects linear regression analyses, which accounted for potential repeated participation and a series of potential confounders. RESULTS: We observed an association between the presence of any current anxiety disorder and lower diet quality. For the most conclusive model, the AHEI was 1.2 points lower among those with current anxiety disorders compared to those participants with no anxiety disorder (p = 0.016). When specific anxiety disorders were included separately into the model, panic disorder was associated with lower diet quality in the fully adjusted model (p = 0.037). CONCLUSIONS: Our findings of reduced diet quality in people with any current anxiety disorder suggest that practical support is needed when it comes to buying and processing food. This might be systematically addressed in psychotherapy and external interdisciplinary support (e.g. occupational therapy and dietary counselling) should be involved. However, further data is needed to strengthen the findings of the present study.
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Dieta , Estudios de Cohortes , Estudios Transversales , Humanos , Estudios Prospectivos , Suiza/epidemiologíaRESUMEN
BACKGROUND: The factors involved in the transmission of mood disorders are only partially elucidated. Aside from genes, the family environment might play a crucial role in parent-child transmission. Our goals were to (1) assess the associations of parental bipolar disorder (BPD) and Major Depressive Disorder (MDD) with individual or shared family environmental factors, including traumatic events in offspring, parental separation, family cohesion and parental attitudes; and 2) test whether these factors were mediators of the association between exposure to parental mood disorders and the onset of these disorders in offspring. METHODS: The sample stems from an ongoing family high-risk study of mood disorders conducted in the French-speaking part of Switzerland. Given the strong impact of the age of onset of parental disorders on their transmission to children, parental disorders were dichotomized according to the onset (cut-off 21 years). Probands with early-onset (n = 30) and later-onset BPD (n = 51), early-onset (n = 21) and later-onset MDD (n = 47) and controls (n = 65), along with their spouses (n = 193) and offspring (n = 388; < 18 years on study inclusion), were assessed over a mean follow-up duration of 14 years (s.d: 4.6). The environmental measures were based on reports by offspring collected before the onset of their first mood episode. RESULTS: Offspring of probands with later-onset BPD and offspring of probands with both early-onset and later-onset MDD reported traumatic events more frequently than comparison offspring, whereas exposure to parental separation was more frequent in all groups of high-risk offspring. Moreover, several familial environment scores including parenting attitudes differed between offspring of probands with BPD and comparison offspring. However, none of these factors were mediators of the parent-child transmission of BPD. Among the environmental factors, traumatic events were shown to be modest mediators of the transmission of early-onset MDD. CONCLUSIONS: Our data do not support the implication of the assessed environmental factors in the parent-child transmission of BPD. In contrast to BPD, traumatic events partially mediate the parent-child transmission of early-onset MDD, which has important implications for intervention and prevention. Early therapeutic efforts in offspring exposed to these events are likely to reduce their deleterious impact on the risk of subsequent MDD.
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PURPOSE: There is a substantial gap between people having a mental disorder and those treated for this disorder. Studies that assessed the influence of age on healthcare use for major depressive disorder (MDD) have provided inconsistent results. We aimed to assess healthcare use in terms of treatment-seeking and psychotropic medication use in four age groups of 45- to 85-year-old community dwellers meeting criteria for MDD. METHODS: Data stemmed from CoLaus|PsyCoLaus, a population-based prospective cohort study. Diagnostic information on mental disorders, utilization of professional healthcare and psychotropic drugs was elicited using a semi-structured interview. Associations between age groups and healthcare use were established using logistic regression models with serial adjustments for socio-demographic and depression characteristics as well as comorbid mental disorders and cardio-metabolic features. RESULTS: Compared to participants of the youngest age group (ages 45 to 54 years), (1) those older than 75 years were less likely to use healthcare from psychiatrists or psychologists (OR: 0.4 [95% CI 0.17-0.96]), although the frequency of using any professional health care did not vary across age groups; (2) those older than 55 years used any psychotropic medication more frequently; and (3) those aged 55-64 years used antidepressants more frequently (OR: 1.61 [95% CI 1.07-2.44]), whereas those aged 65-74 years used anxiolytics more frequently (OR: 2.30 [95% CI 1.15-4.58]). CONCLUSION: Age is a complex biological and social factor that influences healthcare use.
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Trastorno Depresivo Mayor , Anciano , Anciano de 80 o más Años , Antidepresivos/uso terapéutico , Atención a la Salud , Trastorno Depresivo Mayor/diagnóstico , Trastorno Depresivo Mayor/tratamiento farmacológico , Trastorno Depresivo Mayor/epidemiología , Humanos , Persona de Mediana Edad , Estudios Prospectivos , Psicotrópicos/uso terapéuticoRESUMEN
BACKGROUND: Exposure to childhood adversities (CHAD) has been found to be strongly associated with individuals' mental health and social development. Recently, it has been suggested that certain CHAD patterns exist in the population, which are more closely related to individuals' later mental health than the simple summation of adversities. The current study aims 1) to establish CHAD patterns based on self-reported child abuse and family dysfunction and 2) to assess their associations with mental disorders and sociodemographic indicators reported in adulthood. METHODS: Data used in this cross-sectional study were derived from the representative CoLaus/PsyCoLaus population-based cohort (N = 5111, 35 to 88 years). Latent class analysis was conducted for the identification of CHAD patterns, while their associations with mental disorders and socioeconomic achievements (e. g. education and income) were investigated using correspondence analysis. RESULTS: Four CHAD patterns emerged. While the majority (70.7%) of the sample showed an overall low adversity pattern (c1), 13.6% had not been raised by both of their biological parents due to divorce or being placed in foster home (c2), 11.0% had been raised by conflictive / dysfunctional / abusive parents (c3), and 4.7% showed high overall adversities (c4). Patterns c3 and c4 were most strongly associated with various mental disorders, especially c3 with internalizing anxiety disorders, while c2 was closely related to lower educational achievement. CONCLUSIONS: Four CHAD patterns characterised by varying levels of child abuse and family dysfunction existed in this community sample. They yielded distinct associations with mental disorders and socioeconomic indicators.
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Experiencias Adversas de la Infancia , Maltrato a los Niños , Trastornos Mentales , Adulto , Niño , Estudios Transversales , Humanos , Trastornos Mentales/epidemiología , Factores de Riesgo , Factores Socioeconómicos , Suiza/epidemiologíaRESUMEN
BACKGROUND: Only a few studies with conflicting results have examined the effects of sex on the prospective association between depression and subsequent obesity. OBJECTIVE: (1) To simultaneously assess the associations of the subtypes (atypical, melancholic, unspecified) of major depressive disorder (MDD) measured at baseline and subtypes of major depressive episodes (MDE) that emerged during a 5.5-year follow-up with changes in obesity markers (body mass index, waist circumference, fat mass) during this follow-up, and (2) to test the effect of sex on these associations. METHODS: Data from CoLaus|PsyCoLaus, a population-based cohort study including 2702 participants (50.1% women, mean age 49.6 years). Criteria for mental disorders were elicited using semi-structured interviews. RESULTS: History of atypical MDD at baseline was associated with a steeper increase in BMI and waist circumference, whereas atypical MDE during follow-up was associated with a steeper increase in the three studied obesity markers. Melancholic MDD at baseline was associated with a steeper increase in BMI. Several significant interactions with sex were found indicating higher increase in fat mass in men than in women following melancholic MDD reported at baseline, higher decrease in BMI and fat mass in women than in men related to melancholic MDE emerging during follow-up and higher increase in waist circumference in men than in women following unspecified MDD reported at baseline. LIMITATIONS: Urban sample which may not be representative for the whole population. CONCLUSIONS: Our results further advocate for the specific need of a thorough monitoring of obesity markers in patients with atypical MDD and suggest less favorable obesity marker changes mainly related to melancholic MDE in men.
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Trastorno Depresivo Mayor , Índice de Masa Corporal , Estudios de Cohortes , Trastorno Depresivo Mayor/epidemiología , Femenino , Humanos , Masculino , Persona de Mediana Edad , Obesidad/epidemiología , Circunferencia de la CinturaRESUMEN
BACKGROUND: Family history is a significant risk factor for bipolar disorders (BD), but the magnitude of risk varies considerably between individuals within and across families. Accurate risk estimation may increase motivation to reduce modifiable risk exposures and identify individuals appropriate for monitoring over the peak risk period. Our objective was to develop and independently replicate an individual risk calculator for bipolar spectrum disorders among the offspring of BD parents using data collected in routine clinical practice. METHODS: Data from the longitudinal Canadian High-Risk Offspring cohort study collected from 1996 to 2020 informed the development of a 5 and 10-year risk calculator using parametric time-to-event models with a cure fraction and a generalized gamma distribution. The calculator was then externally validated using data from the Lausanne-Geneva High-Risk Offspring cohort study collected from 1996 to 2020. A time-varying C-index by age in years was used to estimate the probability that the model correctly classified risk. Bias corrected estimates and 95% confidence limits were derived using a jackknife resampling approach. FINDINGS: The primary outcome was age of onset of a major mood disorder. The risk calculator was most accurate at classifying risk in mid to late adolescence in the Canadian cohort (n = 285), and a similar pattern was replicated in the Swiss cohort (n = 128). Specifically, the time-varying C-index indicated that there was approximately a 70% chance that the model would correctly predict which of two 15-year-olds would be more likely to develop the outcome in the future. External validation within a smaller Swiss cohort showed mixed results. INTERPRETATION: Findings suggest that this model may be a useful clinical tool in routine practice for improved individualized risk estimation of bipolar spectrum disorders among the adolescent offspring of a BD parent; however, risk estimation in younger high-risk offspring is less accurate, perhaps reflecting the evolving nature of psychopathology in early childhood. Based on external validation with a Swiss cohort, the risk calculator may not be as predictive in more heterogenous high-risk populations. FUNDING: The Canadian High-Risk Study has been funded by consecutive operating grants from the Canadian Institutes for Health Research, currently CIHR PJT Grant 152796 he Lausanne-Geneva high-risk study was and is supported by five grants from the Swiss National Foundation (#3200-040,677, #32003B-105,969, #32003B-118,326, #3200-049,746 and #3200-061,974), three grants from the Swiss National Foundation for the National Centres of Competence in Research project "The Synaptic Bases of Mental Diseases" (#125,759, #158,776, and #51NF40 - 185,897), and a grant from GlaxoSmithKline Clinical Genetics.
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Diet has been associated with the risk of depression, whereas different subtypes of depression have been linked with different cardiovascular risk factors (CVRFs). In this study, our aims were to 1) identify dietary patterns with exploratory factor analysis, 2) assess cross-sectional associations between dietary patterns and depression subtypes, and 3) examine the potentially mediating effect of dietary patterns in the associations between CVRFs and depression subtypes. In the first follow-up of the population-based CoLaus|PsyCoLaus study (2009-2013, 3554 participants, 45.6% men, mean age 57.5 years), a food frequency questionnaire assessed dietary intake and a semi-structured interview allowed to characterize major depressive disorder into current or remitted atypical, melancholic, and unspecified subtypes. Three dietary patterns were identified: Western, Mediterranean, and Sweet-Dairy. Western diet was positively associated with current atypical depression, but negatively associated with current and remitted melancholic depression. Sweet-Dairy was positively associated with current melancholic depression. However, these dietary patterns did not mediate the associations between CVRFs and depression subtypes. Hence, although we could show that people with different subtypes of depression make different choices regarding their diet, it is unlikely that these differential dietary choices account for the well-established associations between depression subtypes and CVRFs.
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Trastorno Depresivo Mayor/psicología , Trastorno Depresivo/psicología , Dieta/estadística & datos numéricos , Ingestión de Alimentos/psicología , Conducta Alimentaria/psicología , Estudios Transversales , Trastorno Depresivo/etiología , Trastorno Depresivo Mayor/etiología , Dieta/efectos adversos , Encuestas sobre Dietas , Femenino , Humanos , Masculino , Persona de Mediana EdadRESUMEN
BACKGROUND: Dynamic trajectories of psychopathology, such as post-traumatic stress disorder (PTSD) provide a key to understanding human adjustment processes after trauma exposure. Recent studies have suggested more heterogeneous mental health outcomes than the initially identified four adjustment trajectories. To explore this heterogeneity, we investigated the after-trauma adjustment patterns of psychopathology based on retrospective lifetime data. This was first carried out on the PTSD symptoms (PTSS, including no symptoms, few symptoms, partial and full PTSD), and secondly together with their post-trauma comorbidities. METHODS: Data of trauma and the post-trauma mental disorders were collected for a large and randomly selected community sample, resulting in a N = 960 trauma-exposed subsample. Pattern recognition as carried out by latent class analysis (LCA) was implemented on this subsample. LCA was first exploited to identify the potential trajectory patterns of PTSS and next to explore the patterns of mental adjustments when additional post-trauma comorbid disorders, such as anxiety, mood and substance use disorders, were assessed. RESULTS: Four PTSS trajectory patterns were found, namely resilient, chronic, recovered, and delayed onset, consistent with findings from longitudinal PTSD studies. When post-trauma comorbidities were evaluated, other than the trajectory pattern of delayed onset which retained a low comorbidity profile, the other three split respectively and paired up with either low, moderate or high comorbidity profile. CONCLUSIONS: Mental health outcomes after trauma exposure were considerably more complex than the four previously established adjustment trajectories. Here, we uncovered additional and more heterogeneous adjustment patterns comprised of PTSS trajectories and post-trauma comorbidity profiles.
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Trastornos por Estrés Postraumático , Ansiedad , Trastornos de Ansiedad , Comorbilidad , Humanos , Estudios Retrospectivos , Trastornos por Estrés Postraumático/epidemiologíaRESUMEN
Studies considering the causal role of body mass index (BMI) for the predisposition of major depressive disorder (MDD) based on a Mendelian Randomization (MR) approach have shown contradictory results. These inconsistent findings may be attributable to the heterogeneity of MDD; in fact, several studies have documented associations between BMI and mainly the atypical subtype of MDD. Using a MR approach, we investigated the potential causal role of obesity in both the atypical subtype and its five specific symptoms assessed according to the Statistical Manual of Mental Disorders (DSM), in two large European cohorts, CoLaus|PsyCoLaus (n = 3350, 1461 cases and 1889 controls) and NESDA|NTR (n = 4139, 1182 cases and 2957 controls). We first tested general obesity measured by BMI and then the body fat distribution measured by waist-to-hip ratio (WHR). Results suggested that BMI is potentially causally related to the symptom increase in appetite, for which inverse variance weighted, simple median and weighted median MR regression estimated slopes were 0.68 (SE = 0.23, p = 0.004), 0.77 (SE = 0.37, p = 0.036), and 1.11 (SE = 0.39, p = 0.004). No causal effect of BMI or WHR was found on the risk of the atypical subtype or for any of the other atypical symptoms. Our findings show that higher obesity is likely causal for the specific symptom of increase in appetite in depressed participants and reiterate the need to study depression at the granular level of its symptoms to further elucidate potential causal relationships and gain additional insight into its biological underpinnings.
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Trastorno Depresivo Mayor , Análisis de la Aleatorización Mendeliana , Índice de Masa Corporal , Depresión , Trastorno Depresivo Mayor/epidemiología , Trastorno Depresivo Mayor/genética , Humanos , Obesidad/epidemiología , Polimorfismo de Nucleótido SimpleRESUMEN
The Covid-19 pandemic has a major impact on psychiatry by its social consequences and possible direct effect of certain forms of Covid-19 on mental health. During this crisis, the accessibility of technology meets a state of necessity, which has propelled telepsychiatry from the shadows into the light. The contribution of several technologies (i.e. virtual reality, actigraphy, computational psychiatry) combining clinical data and neuroscience underlines the great neurobehavioural variability even within the same diagnostic category, calling for greater precision in therapeutic offers as suggested e.g. by developments in neurofeedback. The place of intranasal esketamin in the panoply of antidepressent drug treatments for resistant depression has not yet been defined.
La pandémie de Covid-19 bouleverse la psychiatrie par ses conséquences sociales et par de possibles séquelles psychiatriques. La crise actuelle révèle l'accessibilité de technologies digitales telles que la télépsychiatrie. Des technologies comme la réalité virtuelle, l'actigraphie, la psychiatrie computationnelle combinées aux données cliniques et aux neurosciences révèlent une importante variabilité neurocomportementale même au sein d'une catégorie diagnostique donnée, invitant à une plus grande précision des traitements comme suggéré par les recherches en neurofeedback. La place de l'eskétamine intranasale dans la panoplie thérapeutique médicamenteuse de la dépression résistante doit encore être définie.
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Psiquiatría/tendencias , Telemedicina , COVID-19 , Trastorno Depresivo Resistente al Tratamiento/tratamiento farmacológico , Humanos , Ketamina/administración & dosificación , Neurorretroalimentación , PandemiasRESUMEN
BACKGROUND: There is still limited evidence from prospective high-risk research on the evolution of specific disorders that may emerge early in the development of mood disorders. Moreover, few studies have examined the specificity of mood disorder subtypes among offspring of parents with both major subtypes of mood disorders and controls based on prospective tracking across the transition from childhood to adulthood. Our specific objectives were to (a) identify differences in patterns of psychopathological precursors among youth with (hypo)mania compared to MDD and (b) examine whether these patterns differ by subtypes of parental mood disorders. METHODS: Our data stem from a prospective cohort study of 449 directly interviewed offspring (51% female, mean age 10.1 years at study intake) of 88 patients with BPD, 71 with MDD, 30 with substance use disorders and 60 medical controls. The mean duration of follow-up was 13.2 years with evaluations conducted every three years. RESULTS: Within the whole cohort of offspring, MDE (Hazard Ratio = 4.44; 95%CI: 2.19-9.02), CD (HR = 3.31;1.55-7.07) and DUD (HR = 2.54; 1.15-5.59) predicted the onset of (hypo)manic episodes, whereas MDD in offspring was predicted by SAD (HR = 1.53; 1.09-2.15), generalized anxiety (HR = 2.56; 1.05-6.24), and panic disorder (HR = 3.13; 1.06-9.23). The early predictors of (hypo)mania in the whole cohort were also significantly associated with the onset of (hypo)mania among the offspring of parents with BPD. CONCLUSIONS: The onset of mood disorders is frequently preceded by identifiable depressive episodes and nonmood disorders. These precursors differed by mood subtype in offspring. High-risk offspring with these precursors should be closely monitored to prevent the further development of MDD or conversion to BPD.
Asunto(s)
Trastorno Bipolar , Hijo de Padres Discapacitados , Adolescente , Niño , Femenino , Humanos , Masculino , Trastornos del Humor/epidemiología , Padres , Estudios Prospectivos , Factores de Riesgo , Adulto JovenRESUMEN
BACKGROUND: Anxiety disorders have been related to cardiovascular diseases via low-grade inflammation, but longitudinal studies on the association between generalized anxiety disorder (GAD) and inflammatory biomarkers are sparse. Furthermore, no studies have examined the association between GAD and the "cardio-protective" adipocytokine adiponectin in this context so far. METHODS: In a Swiss population-based sample of 2,415 adults participating in baseline and follow-up exams (mean follow-up duration=5.5 years), we diagnosed a total of 55 persons (2.3%) with GAD using a validated semi-structured psychiatric interview. We prospectively examined the relation between GAD and circulating levels of inflammatory biomarkers (i.e., C-reactive protein, interleukin (IL)-1ß, IL-6, tumor necrosis factor-α, and adiponectin), in linear regression models, statistically controlled for the baseline inflammatory marker, socioeconomic status, cardiovascular risk factors, health behaviors, and psychiatric disorders. RESULTS: Compared to those without GAD, individuals with GAD had lower IL-6 (ß=-0.249, 95%-CI -0.493-(-0.004), p=0.046), and adiponectin (ß=-0.264, 95%-CI -0.482-(-0.045), p=0.018) levels at follow-up after adjustment for all covariates. Moreover, GAD was unrelated to several other inflammatory measures. CONCLUSION: Individuals with GAD do not seem to exhibit chronic low-grade inflammation, suggesting different underlying biobehavioral mechanisms to those from other anxiety disorders. Low adiponectin levels may be linked to symptoms of GAD through brain areas directly involved in the processing of fear and anxiety.