10 research outputs found

    Long-term association of pregnancy and maternal brain structure:the Rotterdam Study

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    The peripartum period is the highest risk interval for the onset or exacerbation of psychiatric illness in women’s lives. Notably, pregnancy and childbirth have been associated with short-term structural and functional changes in the maternal human brain. Yet the long-term effects of pregnancy on maternal brain structure remain unknown. We investigated a large population-based cohort to examine the association between parity and brain structure. In total, 2,835 women (mean age 65.2 years; all free from dementia, stroke, and cortical brain infarcts) from the Rotterdam Study underwent magnetic resonance imaging (1.5 T) between 2005 and 2015. Associations of parity with global and lobar brain tissue volumes, white matter microstructure, and markers of vascular brain disease were examined using regression models. We found that parity was associated with a larger global gray matter volume (β = 0.14, 95% CI = 0.09–0.19), a finding that persisted following adjustment for sociodemographic factors. A non-significant dose-dependent relationship was observed between a higher number of childbirths and larger gray matter volume. The gray matter volume association with parity was globally proportional across lobes. No associations were found regarding white matter volume or integrity, nor with markers of cerebral small vessel disease. The current findings suggest that pregnancy and childbirth are associated with robust long-term changes in brain structure involving a larger global gray matter volume that persists for decades. Future studies are warranted to further investigate the mechanism and physiological relevance of these differences in brain morphology. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s10654-021-00818-5

    Association between Childhood Body Size and Premenstrual Disorders in Young Adulthood

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    The work is supported by grant 2020-01003 from the Swedish Research Council (Vetenskapsrådet) (Dr Lu) and grant 2020-00971 from the Swedish Research Council for Health, Working Life, and Welfare (FORTE) (Dr Lu). The Growing Up Today Study is supported by grants R03 CA106238 and U01 HL145386 from the National Institutes of Health. Publisher Copyright: © 2022 American Medical Association. All rights reserved.Importance: Emerging data suggest that more than two-thirds of premenstrual disorders (PMDs), including premenstrual syndrome and premenstrual dysphoric disorder, have symptom onset during the teen years. Adulthood adiposity has been associated with PMDs; however, the association with childhood and adolescent body size is unknown. Objective: To examine the association between childhood and adolescent body size and risk of PMDs in young adulthood. Design, Setting, and Participants: This prospective cohort study included 6524 US female participants from the Growing Up Today Study (1996-2013). Data were analyzed from February 26, 2020, to June 23, 2021. Exposures: Body mass index (BMI) was estimated using self-reported height and weight through adolescence and converted to BMI for age (z score). Main Outcomes and Measures: In 2013, premenstrual symptoms and identified PMDs were assessed with a validated scale based on the Calendar of Premenstrual Experiences. The associations of BMI for age with PMDs and premenstrual symptoms were examined using log-binomial and linear regressions, respectively. Results: Among 6524 participants (mean [SD] age, 26 [3.5] years; 6108 [93.6%] White), 1004 (15.4%) met the criteria for a PMD. Baseline BMI for age reported at a mean (SD) age of 12.7 (1.1) years was associated with increased risk of PMDs (confounding-adjusted relative risk, 1.09 per unit of z score; 95% CI, 1.03-1.15) and higher burden of premenstrual symptoms (β = 0.06; 95% CI, 0.04-0.08). Associations were particularly pronounced for premenstrual dysphoric disorder and for PMDs with symptom onset before 20 years of age and remained in the absence of psychiatric comorbidities, including depression, anxiety, and disordered eating behavior. When analyzing BMI change over time, individuals with high BMI throughout adolescence had a higher burden of premenstrual symptoms (β = 0.17; 95% CI, 0.08-0.27) compared with those with normal BMI throughout adolescence. Individuals with high BMI early followed by a mild decrease later did not report higher premenstrual symptoms (β = 0.06; 95% CI, 0.00-0.12). Conclusions and Relevance: In this cohort study, childhood body size was associated with PMD risk and premenstrual symptoms in young adulthood. These findings suggest that maintaining a normal body mass in childhood may be considered for lowering the burden of PMDs in adulthood..Peer reviewe

    Borderline and cluster C personality disorders manifest distinct physiological responses to psychosocial stress

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    Background: Maladaptive emotional control is a defining feature of personality disorders. Yet little is known about the underlying physiological dynamics of emotional reactivity to psychosocial stress across distinct personality disorders. The current study compared subjective emotional responses with autonomic nervous system and HPA axis physiological responses to psychosocial stress in women with cluster C personality disorder (CPD) and borderline personality disorder (BPD). Methods: Subjective mood ratings, salivary cortisol, heart rate (HR), and skin conductance level (SCL) were assessed before, during, and after exposure to a standardized psychosocial stress paradigm (Trier Social Stress Test, TSST) in 26 women with BPD, 20 women with CPD, and 35 healthy female controls. Subjects were free of any medication including hormonal contraceptives, had a regular menstrual cycle, and were tested during the luteal phase of their menstrual cycle. Results: Both CPD and BPD patients reported a similar burden of subjective mood disturbance. However, only BPD patients demonstrated reduced baseline cortisol levels with a blunted cortisol and HR reactivity to the TSST. In addition, BPD patients exhibited a generalized increase of SCL. No significant differences in baseline or TSST reactivity of cortisol, HR, or SCL were observed between CPD patients and healthy controls. Conclusion: These findings indicate that patients with BPD have significant alterations in their physiological stress reactivity, which is notably distinct from patients with CPD and those of healthy controls. (C) 2016 Elsevier Ltd. All rights reserved

    Using the attachment network Q-sort for profiling one's attachment style with different attachment-figures.

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    Attachment instruments vary substantially in practicability of administration, employment of categorical versus dimensional scoring, quality of scales, and applicability to different attachment figures. The Attachment Network Q-sort (ANQ) is a self-report, quasi-qualitative instrument that discriminates relationship-specific attachment styles for multiple attachment figures. The current study assesses the properties of the ANQ in psychotherapy patients and in non-patient respondents, using mother, father and romantic partner as possible attachment figures. Analyzing the ANQ-data with latent class analysis, we found four types or classes of participants: a group with an overall secure profile, a group only insecure for father, a group only insecure for mother, and a group insecure for mother as well as father but not for partner (if available). These profiles proved to have good concurrent, discriminant and construct validity. We conclude that the ANQ is potentially a useful alternative clinical self-report instrument to assess combinations of attachment styles for a range of attachment figures such as parents and a romantic partner

    Pubertal development and risk of premenstrual disorders in young adulthood

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    STUDY QUESTION: Is pubertal timing associated with risk of premenstrual disorders (PMDs) in young adulthood? SUMMARY ANSWER: Late pubertal development is associated with decreased premenstrual symptom burden and risk of PMDs in young adulthood. WHAT IS KNOWN ALREADY: PMDs, including premenstrual syndrome and premenstrual dysphoric disorder, may begin during the teenage years. Few risk factors in early life have been identified for PMD development. STUDY DESIGN, SIZE, DURATION: A prospective cohort study of 6495 female participants during 1996-2013. PARTICIPANTS/MATERIALS, SETTING, METHODS: We included participants from the Growing Up Today Study (GUTS). Pubertal development was indicated by the timing of menarche, breast and pubic hair growth. Self-reported age at menarche was longitudinally assessed at enrollment (in 1996/2004 for GUTS I/II) and onwards, and classified as early (age ≤ mean - SD, 11.64 years), normative and late menarche (age ≥ mean + SD, 13.95 years). Timing of pubic hair and breast growth were assessed multiple times during follow-up via Tanner scales, and classified into early, normative and late development according to mean ± SD. Using a validated questionnaire based on the Calendar of Premenstrual Experiences, we assessed premenstrual symptoms and identified probable cases of PMDs in 2013. We examined the associations of timing of pubertal development with premenstrual symptom score and disorders using multivariable linear and logistic regressions, respectively. MAIN RESULTS AND THE ROLE OF CHANCE: In 2013 (mean age = 26), 1001 (15.4%) individuals met criteria for a PMD. An inverse association was found between age at menarche and premenstrual symptom z-score (β -0.05 per year, 95% CI -0.07 to -0.03) and risk of PMDs (odds ratio (OR) 0.93 per year, 95% CI 0.88 to 0.99). Compared to individuals with normative menarche, individuals with late menarche had a lower risk of PMDs (OR 0.73, 95% CI 0.59 to 0.91), while individuals with early menarche had comparable odds (OR 0.98, 95% CI 0.81 to 1.18). Moreover, early growth of pubic hair was associated with increased premenstrual symptoms (z-score β 0.09 per year, 95% CI 0.02 to 0.17) and PMD risk (OR 1.28, 95% CI 1.04 to 1.56), independent of age at menarche. No associations were noted for breast development. LIMITATIONS, REASONS FOR CAUTION: One major limitation is some misclassification of menarche due to recall. We, however, showed robust association among participants who were premenarcheal at baseline. WIDER IMPLICATIONS OF THE FINDINGS: Our findings suggest that pubertal timing, particularly timing of menarche, is inversely associated with the risk of developing premenstrual symptoms in young adulthood, and that women with later menarche have significantly lower risk of PMDs. Information on PMDs should be provided to teenage girls and their parents. If these findings are confirmed in independent populations, prevention strategies and early detection programs may be considered for women with early pubertal development. STUDY FUNDING/COMPETING INTEREST(S): The work is supported by the National Institutes of Health and Swedish Research Council. TRIAL REGISTRATION NUMBER: N/A

    Association between Childhood Body Size and Premenstrual Disorders in Young Adulthood

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    Importance: Emerging data suggest that more than two-thirds of premenstrual disorders (PMDs), including premenstrual syndrome and premenstrual dysphoric disorder, have symptom onset during the teen years. Adulthood adiposity has been associated with PMDs; however, the association with childhood and adolescent body size is unknown. Objective: To examine the association between childhood and adolescent body size and risk of PMDs in young adulthood. Design, Setting, and Participants: This prospective cohort study included 6524 US female participants from the Growing Up Today Study (1996-2013). Data were analyzed from February 26, 2020, to June 23, 2021. Exposures: Body mass index (BMI) was estimated using self-reported height and weight through adolescence and converted to BMI for age (z score). Main Outcomes and Measures: In 2013, premenstrual symptoms and identified PMDs were assessed with a validated scale based on the Calendar of Premenstrual Experiences. The associations of BMI for age with PMDs and premenstrual symptoms were examined using log-binomial and linear regressions, respectively. Results: Among 6524 participants (mean [SD] age, 26 [3.5] years; 6108 [93.6%] White), 1004 (15.4%) met the criteria for a PMD. Baseline BMI for age reported at a mean (SD) age of 12.7 (1.1) years was associated with increased risk of PMDs (confounding-adjusted relative risk, 1.09 per unit of z score; 95% CI, 1.03-1.15) and higher burden of premenstrual symptoms (β = 0.06; 95% CI, 0.04-0.08). Associations were particularly pronounced for premenstrual dysphoric disorder and for PMDs with symptom onset before 20 years of age and remained in the absence of psychiatric comorbidities, including depression, anxiety, and disordered eating behavior. When analyzing BMI change over time, individuals with high BMI throughout adolescence had a higher burden of premenstrual symptoms (β = 0.17; 95% CI, 0.08-0.27) compared with those with normal BMI throughout adolescence. Individuals with high BMI early followed by a mild decrease later did not report higher premenstrual symptoms (β = 0.06; 95% CI, 0.00-0.12). Conclusions and Relevance: In this cohort study, childhood body size was associated with PMD risk and premenstrual symptoms in young adulthood. These findings suggest that maintaining a normal body mass in childhood may be considered for lowering the burden of PMDs in adulthood.
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