Mothers with higher levels of fatigue, poor sleep quality, and low resilience levels were at high risk of developing postpartum depression, finds a study published in BMCPsychology
In this study, factors such as the mother’s age and BMI, the child’s age, smoking status, full-term pregnancy, having a chronic disease, and taking anti-depressant were all controlled for, but the relationships between fatigue, sleep, and resilience and the risk of PPD were still significant. However, investigating the other factors contributing to the risk of PPD development among our participants was beyond the scope of this study.
This study investigated the role of resilience, as one psychological predictor, on the risk of development of PPD. However, we did not collect information related to other psychological factors, such as self-efficacy, that may also have contributed to the development of PPD during the postpartum period.
We also did investigate the factors contributing to the reported levels of fatigue, resilience, and sleep quality. The study design was cross-sectional; we do not have baseline data about the above-mentioned factors, and we did not investigate the levels of such, either during or even before pregnancy. Other factors, such as pain levels, were not included in the distributed questionnaire. Pain may have an influence on mothers’ risk of developing PPD during this critical period.
It is also worth noting that this study was limited by the lack of evidence on the relationship between the risk of PPD and resilience. Some studies have implied a positive effect on the part of mental resilience via coping styles on the risk of PPD, without addressing this topic directly, but to the authors’ knowledge, there are no available research that can support the findings related to the risk of PPD and resilience in our study.
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xcore: an R package for inference of gene expression regulators - BMC BioinformaticsBackground Elucidating the Transcription Factors (TFs) that drive the gene expression changes in a given experiment is a common question asked by researchers. The existing methods rely on the predicted Transcription Factor Binding Site (TFBS) to model the changes in the motif activity. Such methods only work for TFs that have a motif and assume the TF binding profile is the same in all cell types. Results Given the wealth of the ChIP-seq data available for a wide range of the TFs in various cell types, we propose that gene expression modeling can be done using ChIP-seq “signatures” directly, effectively skipping the motif finding and TFBS prediction steps. We present xcore, an R package that allows TF activity modeling based on ChIP-seq signatures and the user's gene expression data. We also provide xcoredata a companion data package that provides a collection of preprocessed ChIP-seq signatures. We demonstrate that xcore leads to biologically relevant predictions using transforming growth factor beta induced epithelial-mesenchymal transition time-courses, rinderpest infection time-courses, and embryonic stem cells differentiated to cardiomyocytes time-course profiled with Cap Analysis Gene Expression. Conclusions xcore provides a simple analytical framework for gene expression modeling using linear models that can be easily incorporated into differential expression analysis pipelines. Taking advantage of public ChIP-seq databases, xcore can identify meaningful molecular signatures and relevant ChIP-seq experiments.
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High insulinemic potential of diet and lifestyle is associated with increased risk of chronic kidney disease incident in adults - BMC NephrologyBackground The role of higher insulinemic effects of dietary pattern and lifestyle factors on the risk of chronic kidney disease (CKD) is not well-studied. In the current study, we aimed to investigate the relationship between the insulinemic potential of diet and lifestyle with the risk of CKD in adults. Methods A total of 6044 individuals without CKD, aged|18 years, were recruited from among participants of the Tehran Lipid and Glucose Study (third and fourth surveys) and followed a mean of 6.03 years(follow-up rate:94.95%). The dietary intake data were collected using a food frequency questionnaire. The insulinemic potential of diet and lifestyle was determined based on four empirical indices, including the empirical dietary index for hyperinsulinemia (EDIH), the empirical dietary index for insulin resistance (EDIR), the empirical lifestyle index for hyperinsulinemia (ELIH), and the empirical lifestyle index for insulin resistance (ELIR). Results Mean ± SD age of all study participants (54.3% women) was 37.8 ± 12.8 years. During the 6.03 years of follow-up (46,889.8 person-years), 1216(20.1%) new cases of CKD were identified. According to the multivariable-adjusted model, the risk of CKD incident is increased across quintiles of EDIR (OR = 1.29;95% CI: 1.06–1.57), ELIH (OR = 1.35; 95%CI: 1.10–1.67), and ELIR (OR = 1.24; 95%CI:1.02–1.51). However, no significant relationship was found between the EDIH score and the risk of CKD. Conclusion Results of the current study showed that dietary pattern with a high EDIR score and a lifestyle with higher ELIH and ELIR scores may be related to increasing the risk of CKD incident. However, no significant association was observed between EDIH score and CKD incident.
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Too fast to catch?: a perspective on the state of transposable elements in research - BMC Series blogWe would like to attract your attention to our new BMC Genomics collection, titled 'Transposable elements'. More information can be found in this blog post written by Guest Editor Gökhan Karakülah and his PhD student Doğa Eskier who discuss the importance of transposable elements (TEs) and shine a spotlight on our current and growing knowledge of TEs.
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Inequalities in children’s mental health care: analysis of routinely collected data on prescribing and referrals to secondary care - BMC PsychiatryBackground One in eight children in the United Kingdom are estimated to have a mental health condition, and many do not receive support or treatment. The COVID-19 pandemic has negatively impacted mental health and disrupted the delivery of care. Prevalence of poor mental health is not evenly distributed across age groups, by sex or socioeconomic groups. Equity in access to mental health care is a policy priority but detailed socio-demographic trends are relatively under-researched. Methods We analysed records for all mental health prescriptions and referrals to specialist mental health outpatient care between the years of 2015 and 2021 for children aged 2 to 17 years in a single NHS Scotland health board region. We analysed trends in prescribing, referrals, and acceptance to out-patient treatment over time, and measured differences in treatment and service use rates by age, sex, and area deprivation. Results We identified 18,732 children with 178,657 mental health prescriptions and 21,874 referrals to specialist outpatient care. Prescriptions increased by 59% over the study period. Boys received double the prescriptions of girls and the rate of prescribing in the most deprived areas was double that in the least deprived. Mean age at first mental health prescription was almost 1 year younger in the most deprived areas than in the least. Referrals increased 9% overall. Initially, boys and girls both had an annual referral rate of 2.7 per 1000, but this fell 6% for boys and rose 25% for girls. Referral rate for the youngest decreased 67% but increased 21% for the oldest. The proportion of rejected referrals increased steeply since 2020 from 17 to 30%. The proportion of accepted referrals that were for girls rose to 62% and the mean age increased 1.5 years. Conclusions The large increase in mental health prescribing and changes in referrals to specialist outpatient care aligns with emerging evidence of increasing poor mental health, particularly since the start of the C
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Keep children at home while teachers strike, school heads tell parentsHeadteachers complained that current strike laws, which mean union members are not required to tell employers if they plan to strike, mean they are unable to predict the potential scale of chaos
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Nurses vow to keep striking, and poll shows patients support themThe TUC said a survey of 1,758 adults showed 'large-scale support' for nurses, ambulance staff and other health service workers who are taking industrial action over pay and staffing.
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