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Sökning: WFRF:(Papadopoulos Fotios 1976 ) > Tidskriftsartikel

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1.
  • Axfors, Cathrine, et al. (författare)
  • Cohort profile : the Biology, Affect, Stress, Imaging and Cognition (BASIC) study on perinatal depression in a population-based Swedish cohort
  • 2019
  • Ingår i: BMJ Open. - : BMJ. - 2044-6055. ; 9:10
  • Tidskriftsartikel (refereegranskat)abstract
    • PURPOSE: With the population-based, prospective Biology, Affect, Stress, Imaging and Cognition (BASIC) cohort, we aim to investigate the biopsychosocial aetiological processes involved in perinatal depression (PND) and to pinpoint its predictors in order to improve early detection.PARTICIPANTS: From September 2009 to November 2018, the BASIC study at Uppsala University Hospital, Sweden, has enrolled 5492 women, in 6478 pregnancies, of which 46.3% first-time pregnancies and with an average age of 31.5 years. After inclusion around gestational week 16-18, participants are followed-up with data collection points around gestational week 32, at childbirth, as well as three times postpartum: after 6 weeks, 6 months and 1 year. At the last follow-up, 70.8% still remain in the cohort.FINDINGS TO DATE: In addition to internet-based surveys with self-report instruments, participants contribute with biological samples, for example, blood samples (maternal and from umbilical cord), biopsies (umbilical cord and placenta) and microbiota samples. A nested case-control subsample also takes part in cognitive and emotional tests, heart rate variability tests and bioimpedance tests. Subprojects have identified various correlates of PND of psychological and obstetric origin in addition to factors of the hypothalamic-pituitary-adrenal axis and immune system.FUTURE PLANS: In parallel with the completion of data collection (final follow-up November 2019), BASIC study data are currently analysed in multiple subprojects. Since 2012, we are conducting an ongoing follow-up study on the participants and their children up to 6 years of age (U-BIRTH). Researchers interested in collaboration may contact Professor Alkistis Skalkidou (corresponding author) with their request to be considered by the BASIC study steering committee.
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2.
  • Axfors, Cathrine, et al. (författare)
  • Preferences for Gender Affirming Treatment and Associated Factors Among Transgender People in Sweden
  • 2023
  • Ingår i: Sexuality Research & Social Policy. - : Springer Nature. - 1868-9884 .- 1553-6610. ; 20:2, s. 479-490
  • Tidskriftsartikel (refereegranskat)abstract
    • IntroductionGender affirming surgery of primary and/or secondary sex characteristics has been shown to alleviate gender dysphoria. A descriptive snapshot of current treatment preferences is useful to understand the needs of the transgender population seeking health care. This study aimed to describe preferences for gender affirming treatment, and their correlates, among individuals seeking health care for gender dysphoria in Sweden after major national legislative reforms.MethodsCross-sectional study where transgender patients (n = 232) recruited from all six Gender Dysphoria centers in Sweden 2016–2019, answered a survey on treatment preferences and sociodemographic, health, and gender identity-related information during the same time-period. Factors associated with preferring top surgery (breast augmentation or mastectomy), genital surgery, and other surgery (e.g., facial surgery) were examined in univariable and multivariable regression analyses in the 197 people without prior such treatment. Main study outcomes were preferences for feminizing or masculinizing hormonal and surgical gender affirming treatment.ResultsThe proportion among birth assigned male and assigned female patients preferring top surgery was 55.6% and 88.7%, genital surgery 88.9% and 65.7%, and other surgery (e.g., facial surgery) 85.6% and 22.5%, respectively. Almost all participants (99.1%) wanted or had already received hormonal treatment and most (96.7%) wished for some kind of surgical treatment; 55.0% wanted both top and genital surgery. Preferring a binary pronoun (he/she) and factors indicating more severe gender incongruence were associated with a greater wish for surgical treatment. Participants with somatic comorbidities were less likely to want genital surgery, while aF with lacking social support were less likely to want internal genital surgery, in the multivariable analyses.ConclusionsIn this sample of Swedish young adults seeking health care for gender dysphoria, preferences for treatment options varied according to perceived gender identity.Policy ImplicationsThe study fndings underline the need for individualized care and fexible gender afrming treatmentoptions. The role of somatic comorbidities should be further explored, and support should be ofered to transgender peoplein need. There is an unmet need for facial surgery among aM
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3.
  • Bens, Annet, et al. (författare)
  • Worse survival after breast cancer in women with anorexia nervosa
  • 2018
  • Ingår i: Breast Cancer Research and Treatment. - : SPRINGER. - 0167-6806 .- 1573-7217. ; 168:2, s. 495-500
  • Tidskriftsartikel (refereegranskat)abstract
    • A history of anorexia nervosa has been associated with a reduced risk of developing breast cancer. We investigated survival after breast cancer among women with a prior anorexia nervosa diagnosis compared with women in a population comparison group. This register-based study included combined data from Sweden, Denmark and Finland. A total of 76 and 1462 breast cancer cases identified among 22,654 women with anorexia nervosa and 224,619 women in a population comparison group, respectively, were included in the study. Hazard ratios (HR) for overall and breast cancer-specific mortality after breast cancer diagnosis were estimated using Cox regression. Cause of death was available only for Swedish and Danish women; therefore, the analysis on breast cancer-specific mortality was restricted to these women. We observed 23 deaths after breast cancer among anorexia nervosa patients and 247 among population comparisons. The overall mortality after the breast cancer diagnosis was increased in women with a history of anorexia nervosa compared with population comparisons (HR 2.5, 95% CI 1.6-3.9) after adjustment for age, period and extent of disease. Results were similar for overall (HR 2.3, 95% CI 1.4-3.6) and breast cancer-specific mortality (HR 2.1, 95% CI 1.3-3.6) among Swedish and Danish women. We found that female breast cancer patients with a prior diagnosis of anorexia nervosa have a worse survival compared with other breast cancer patients.
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4.
  • Bilal, Ayesha, et al. (författare)
  • Mom2B: a study of perinatal health via smartphone application and machine learning methods
  • 2022
  • Ingår i: European Psychiatry. - : Royal College of Psychiatrists. - 0924-9338 .- 1778-3585. ; 65:S1
  • Tidskriftsartikel (refereegranskat)abstract
    • IntroductionPeripartum depression (PPD) impacts around 12% of women globally and is a leading cause of maternal mortality. However, there are currently no accurate methods in use to identify women at high risk for depressive symptoms on an individual level. An initial study was done to assess the value of deep learning models to predict perinatal depression from women at six weeks postpartum. Clinical, demographic, and psychometric questionnaire data was obtained from the “Biology, Affect, Stress, Imaging and Cognition during Pregnancy and the Puerperium” (BASIC) cohort, collected from 2009-2018 in Uppsala, Sweden. An ensemble of artificial neural networks and decision trees-based classifiers with majority voting gave the best and balanced results, with nearly 75% accuracy. Predictive variables identified in this study were used to inform the development of the ongoing Swedish Mom2B study.ObjectivesThe aim of the Mom2be study is to use digital phenotyping data collected via the Mom2B mobile app to evaluate predictive models of the risk of perinatal depression.MethodsIn the Mom2B app, clinical, sociodemographic and psychometric information is collected through questionnaires, including the Edinburgh Postnatal Depression Scale (EPDS). Audio recordings are recurrently obtained upon prompts, and passive data from smartphone sensors and activity logs, reflecting social-media activity and mobility patterns. Subsequently, we will implement and evaluate advanced machine learning and deep learning models to predict the risk of PPD in the third pregnancy trimester, as well as during the early and late postpartum period, and identify variables with the strongest predictive value.ResultsAnalyses are ongoing.ConclusionsPending results.DisclosureNo significant relationships.
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5.
  • Bilal, Ayesha, et al. (författare)
  • Predicting perinatal health outcomes using smartphone-based digital phenotyping and machine learning in a prospective Swedish cohort (Mom2B) : study protocol
  • 2022
  • Ingår i: BMJ Open. - : BMJ Publishing Group Ltd. - 2044-6055. ; 12:4
  • Tidskriftsartikel (refereegranskat)abstract
    • Introduction: Perinatal complications, such as perinatal depression and preterm birth, are major causes of morbidity and mortality for the mother and the child. Prediction of high risk can allow for early delivery of existing interventions for prevention. This ongoing study aims to use digital phenotyping data from the Mom2B smartphone application to develop models to predict women at high risk for mental and somatic complications.Methods and analysis: All Swedish-speaking women over 18 years, who are either pregnant or within 3 months postpartum are eligible to participate by downloading the Mom2B smartphone app. We aim to recruit at least 5000 participants with completed outcome measures. Throughout the pregnancy and within the first year postpartum, both active and passive data are collected via the app in an effort to establish a participant's digital phenotype. Active data collection consists of surveys related to participant background information, mental and physical health, lifestyle, and social circumstances, as well as voice recordings. Participants' general smartphone activity, geographical movement patterns, social media activity and cognitive patterns can be estimated through passive data collection from smartphone sensors and activity logs. The outcomes will be measured using surveys, such as the Edinburgh Postnatal Depression Scale, and through linkage to national registers, from where information on registered clinical diagnoses and received care, including prescribed medication, can be obtained. Advanced machine learning and deep learning techniques will be applied to these multimodal data in order to develop accurate algorithms for the prediction of perinatal depression and preterm birth. In this way, earlier intervention may be possible.Ethics and dissemination: Ethical approval has been obtained from the Swedish Ethical Review Authority (dnr: 2019/01170, with amendments), and the project fully fulfils the General Data Protection Regulation (GDPR) requirements. All participants provide consent to participate and can withdraw their participation at any time. Results from this project will be disseminated in international peer-reviewed journals and presented in relevant conferences.
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6.
  • Breedh, Julia, et al. (författare)
  • Hypothalamic-pituitary-adrenal axis responsiveness, startle response, and sensorimotor gating in late pregnancy
  • 2019
  • Ingår i: Psychoneuroendocrinology. - : Elsevier BV. - 0306-4530 .- 1873-3360. ; 106, s. 1-8
  • Tidskriftsartikel (refereegranskat)abstract
    • During pregnancy, the hypothalamic-pituitary-adrenal (HPA) axis, the main regulator of the stress response, undergoes dramatic changes. The acoustic startle response (ASR) and the prepulse inhibition (PPI) of the startle response are neurophysiological research tools and objective measures of an individual's response to an emotional context or stressor. The ASR and PPI are influenced by psychiatric diseases characterized by anxiety symptoms and are sensitive to cortisol. Hence, the ASR and the PPI can be used to investigate the effects of pregnancy-induced endocrine changes and their contribution to affective disorders. The present study sought to investigate the association between measures of HPA-axis responsiveness, startle reactivity and sensorimotor gating during pregnancy that to date remains unknown. The eye-blink component of the ASR, and its prepulse inhibition, were measured in 107 late third trimester pregnant women. Saliva samples were collected to assess the cortisol awakening response (CAR), a measure of HPA-axis activity. Blood was sampled to measure serum levels of cortisol, cortisone and the cortisone to cortisol ratio. Ongoing anxiety disorders, sleep duration, smoking, and age were considered as potential confounders in the statistical analyses. CAR reactivity, measured as area under the curve (AUC) increase and above baseline, was positively associated with baseline startle magnitude [Cohen's d = 0.27; F (1, 105) = 4.99; p = 0.028, and Cohen's d = 0.30; F (1, 105) = 6.25; p = 0.014, respectively] as well as PPI at 86 dB [Cohen's d = 0.29; F (1, 105) = 5.93; p = 0.017; and Cohen's d = 0.34; F (1, 105) = 8.38; p = 0.005, respectively]. The observed positive correlation between startle magnitude in pregnant women and greater increase in cortisol during the awakening response may be interpreted as heightened neurophysiological reactivity, likely associated with dysregulation of the stress system.
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7.
  • Bränn, Emma, et al. (författare)
  • Inflammatory markers in late pregnancy in association with postpartum depression-A nested case-control study.
  • 2017
  • Ingår i: Psychoneuroendocrinology. - : Elsevier BV. - 0306-4530 .- 1873-3360. ; 79, s. 146-159
  • Tidskriftsartikel (refereegranskat)abstract
    • Recent studies indicate that the immune system adaptation during pregnancy could play a significant role in the pathophysiology of perinatal depression. The aim of this study was to investigate if inflammation markers in a late pregnancy plasma sample can predict the presence of depressive symptoms at eight weeks postpartum. Blood samples from 291 pregnant women (median and IQR for days to delivery, 13 and 7-23days respectively) comprising 63 individuals with postpartum depressive symptoms, as assessed by the Edinburgh postnatal depression scale (EPDS≥12) and/or the Mini International Neuropsychiatric Interview (M.I.N.I.) and 228 controls were analyzed with an inflammation protein panel using multiplex proximity extension assay technology, comprising of 92 inflammation-associated markers. A summary inflammation variable was also calculated. Logistic regression, LASSO and Elastic net analyses were implemented. Forty markers were lower in late pregnancy among women with depressive symptoms postpartum. The difference remained statistically significant for STAM-BP (or otherwise AMSH), AXIN-1, ADA, ST1A1 and IL-10, after Bonferroni correction. The summary inflammation variable was ranked as the second best variable, following personal history of depression, in predicting depressive symptoms postpartum. The protein-level findings for STAM-BP and ST1A1 were validated in relation to methylation status of loci in the respective genes in a different population, using openly available data. This explorative approach revealed differences in late pregnancy levels of inflammation markers between women presenting with depressive symptoms postpartum and controls, previously not described in the literature. Despite the fact that the results do not support the use of a single inflammation marker in late pregnancy for assessing risk of postpartum depression, the use of STAM-BP or the novel notion of a summary inflammation variable developed in this work might be used in combination with other biological markers in the future.
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8.
  • Bränn, Emma, et al. (författare)
  • Inflammatory markers in women with postpartum depressive symptoms
  • 2020
  • Ingår i: Journal of Neuroscience Research. - : Wiley. - 0360-4012 .- 1097-4547. ; 98:7, s. 1309-1321
  • Tidskriftsartikel (refereegranskat)abstract
    • Postpartum depression (PPD) is a devastating disorder affecting not only more than 10% of all women giving birth, but also the baby, the family, and the society. Compiling evidence suggests the involvement of the immune system in the pathophysiology of major depression; yet, the immune response in perinatal depression is not as well studied. The aim of this study was to investigate the alterations in peripheral levels of inflammatory biomarkers in 169 Swedish women with and without depressive symptoms according to the Edinburgh postnatal depression scale or the M.I.N.I neuropsychiatric interview at eight weeks postpartum. Among the 70 markers analyzed with multiplex proximity extension assay, five were significantly elevated in women with postpartum depressive symptoms in the adjusted LASSO logistic regression analysis: Tumor necrosis factor ligand superfamily member (TRANCE) (OR-per 1 SD increase = 1.20), Hepatocyte growth factor (HGF) (OR = 1.17) Interleukin (IL)-18 (OR = 1.06), Fibroblast growth factor 23 (FGF-23) (OR = 1.25), and C-X-C motif chemokine 1 (CXCL1) (OR 1.11). These results indicate that women with PPD have elevated levels of some inflammatory biomarkers. It is, therefore, plausible that PPD is associated with a compromised adaptability of the immune system.
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9.
  • Bränn, Emma, 1988-, et al. (författare)
  • Metabolic Profiling Indicates Diversity in the Metabolic Physiologies Associated With Maternal Postpartum Depressive Symptoms
  • 2021
  • Ingår i: Frontiers in Psychiatry. - : Frontiers Media S.A.. - 1664-0640. ; 12
  • Tidskriftsartikel (refereegranskat)abstract
    • Background: Postpartum depression (PPD) is a devastating disease requiring improvements in diagnosis and prevention. Blood metabolomics identifies biological markers discriminatory between women with and those without antenatal depressive symptoms. Whether this cutting-edge method can be applied to postpartum depressive symptoms merits further investigation. Methods: As a substudy within the Biology, Affect, Stress, Imagine and Cognition Study, 24 women with PPD symptom (PPDS) assessment at 6 weeks postpartum were included. Controls were selected as having a score of ≤ 6 and PPDS cases as ≥12 on the Edinburgh Postnatal Depression Scale. Blood plasma was collected at 10 weeks postpartum and analyzed with gas chromatography-mass spectrometry metabolomics. Results: Variations of metabolomic profiles within the PPDS samples were identified. One cluster showed altered kidney function, whereas the other, a metabolic syndrome profile, both previously associated with depression. Five metabolites (glycerol, threonine, 2-hydroxybutanoic acid, erythritol, and phenylalanine) showed higher abundance among women with PPDSs, indicating perturbations in the serine/threonine and glycerol lipid metabolism, suggesting oxidative stress conditions. Conclusions: Alterations in certain metabolites were associated with depressive pathophysiology postpartum, whereas diversity in PPDS physiologies was revealed. Hence, plasma metabolic profiling could be considered in diagnosis and pathophysiological investigation of PPD toward providing clues for treatment. Future studies require standardization of various subgroups with respect to symptom onset, lifestyle, and comorbidities.
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10.
  • Durbeej, Natalie, et al. (författare)
  • Outside the norm : Mental health, school adjustment and community engagement in non-binary youth
  • 2019
  • Ingår i: Scandinavian Journal of Public Health. - : SAGE Publications. - 1403-4948 .- 1651-1905. ; 49:5, s. 529-538
  • Tidskriftsartikel (refereegranskat)abstract
    • Aims: The aim of this study was to explore the role of self-reported non-binary gender identity in mental health problems, school adjustment, and wish to exert influence on municipal issues in a community sample of adolescents.Methods: In a cross-sectional design, data were collected through an anonymous survey in Uppsala County, Sweden, among 8385 students (response rate 58.2%) in grades 7, 9, and 11, aged 13-17 years. The Strengths and Difficulties Questionnaire (SDQ) self-report was used to assess mental health problems. Gender identity was measured with one item and youth were categorized into those who identified as male or female (i.e. binary youth), and those who did or could not identify with either gender (i.e. non-binary youth). Logistic regressions and qualitative content analysis were used to analyse data.Results: Youth with non-binary gender identity (n = 137; 1.6%) had higher odds of having mental problems according to the SDQ total score (OR=3.05; 1.77-5.25). The association between non-binary gender identity and mental health problems remained significant after adjusting for confounders. Additionally, compared to their binary peers, the non-binary youth reported more truancy (36.5% vs 49.6%), more often failed a subject (21.5% vs 36.5%), and were more interested in exerting influence on municipal issues such as sociopolitical development, education, municipal services, and drug and alcohol policies (25.3% vs 38.0%).Conclusions: Youth with non-binary gender identity constitute a vulnerable population regarding mental health problems and school adjustment. The willingness to exert influence on municipal issues suggests a possible pathway to engagement.
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