Additional file 2 of The association between prenatal famine, DNA methylation and mental disorders: a systematic review and meta-analysis

Additional file 2: Table S4. Risk of bias assessment for the effect of famine on symptoms of psychopathology/mental disorders, and DNA methylation

Additional file 1 of The association between prenatal famine, DNA methylation and mental disorders: a systematic review and meta-analysis

Additional file 1: Table S1. Quality assessment scale (risk of bias) of adults prenatally exposed to famine who suffered from symptoms of psychopathology or a mental disorder; modified from Li and Lumey [31] and Newcastle–Ottawa Scale by Wells et al. [32]. Table S2. Quality assessment scale (risk of bias) of adults prenatally exposed to famine with alterations in (epi)genome-wide DNA methylation; modified from Li and Lumey [31] and Newcastle–Ottawa Scale by Wells et al. [32]. Table S3. Quality assessment scale (risk of bias) of adults prenatally exposed to famine with alterations in candidate gene DNA methylation; modified from Li and Lumey [31] and Newcastle–Ottawa Scale by Wells et al. [32]

Interaction plot of the relationship between facial width-to-height ratio and Machiavellianism moderated by income.

N = 109. Simple slopes of fWHR predicting Machiavellianism for 1 SD below the mean of income, the mean of income, and 1 SD above the mean of income. Error bars represent the standard deviation.</p

Interaction plot of the relationship between facial width-to-height ratio and physical aggression moderated by income.

N = 109. Simple slopes of fWHR predicting physical aggression for 1 SD below the mean of income, the mean of income, and 1 SD above the mean of income. Error bars represent the standard deviation.</p

Descriptive statistics and intercorrelations among the relevant variables.

Descriptive statistics and intercorrelations among the relevant variables.</p

Interaction plot of the relationship between facial width-to-height ratio and psychopathy moderated by income.

N = 109. Simple slopes of fWHR predicting psychopathy for 1 SD below the mean of income, the mean of income, and 1 SD above the mean of income. Error bars represent the standard deviation.</p

Course of WST-1 reduction over time in the stress and stress-control group.

<p>Values are given as means ± SEM.</p

Data_Sheet_1_Steroid Hormone Secretion Over the Course of the Perimenopause: Findings From the Swiss Perimenopause Study.PDF

Background: Perimenopause is characterized by a decline in the steroid hormones, estradiol, and progesterone. By contrast, the steroid hormone cortisol, a marker of the hypothalamic–pituitary–adrenal (HPA) axis, increases. Recent longitudinal studies reported fluctuations in steroid hormone levels during perimenopause, and even increases in estradiol levels. To understand these confounding results, it is necessary to conduct a longitudinal, highly standardized assessment of steroid hormone secretion patterns in perimenopausal women.Methods: This longitudinal study investigated 127 perimenopausal women aged 40–56 years for 13 months. Estradiol, progesterone, and cortisol were assessed using saliva samples, which were collected for two (during months 2 and 12 for estradiol and progesterone) or three (during months 2, 7, and 12 for cortisol) non-consecutive months over the course of the study. A total of 14 saliva samples per participant were analyzed to investigate the courses of estradiol and progesterone. Cortisol awakening response and fluctuations of cortisol throughout the day were measured using a total of 11 saliva samples per participant (on awakening, +30 min, +60 min, at 12:00 p.m., and before going to bed) for months 2, 7, and 12.Results: Multilevel analyses revealed variance in intercept and slope across participants for estradiol [intercept: SD = 5.16 (95% CI: 4.28, 6.21), slope: SD = 0.50 (95% CI: 0.39, 0.64)], progesterone [intercept: SD = 34.77 (95% CI: 25.55, 47.31), slope: SD = 4.17 (95% CI: 2.91, 5.99)], and cortisol (intercept: SD = 0.18 (95% CI: 0.14, 0.23), slope: SD = 0.02 (95% CI: 0.01, 0.02)]. Time predicted cortisol levels [b = −0.02, t(979) = −6.63, p (1608) = −0.84, p = 0.400], progesterone [b = −4.55, t(1723) = −0.87, p = 0.385], or cortisol [b = 0.01, t(1124) = 0.61, p = 0.542] scores over time.Discussion: Our results are consistent with previous findings emphasizing highly individual fluctuations of estradiol and progesterone levels during perimenopause. However, our findings do not suggest a continuous decline during the observed transition phase, implying relatively stable periods of fluctuating hormone levels. Furthermore, given the lack of significant group differences, it may not be necessary to differentiate between early and late perimenopause from the standpoint of hormonal progression.</p

sj-docx-1-whe-10.1177_17455057221147391 – Supplemental material for Trajectories of reproductive transition phase mood disorder from pregnancy to postpartum: A Swiss longitudinal study

Supplemental material, sj-docx-1-whe-10.1177_17455057221147391 for Trajectories of reproductive transition phase mood disorder from pregnancy to postpartum: A Swiss longitudinal study by Alexandra Johann, Jelena Dukic, Yannick Rothacher and Ulrike Ehlert in Women’s Health</p

A to C. Course of norepinephrine, epinephrine, and cortisol over time in stress and stress-control group.

<p>Values are given as means ± SEM.</p