Temporal Relationship Between Pain and Mental Health Conditions Among Children and Young People-A Population-Based Register Study in Sweden.

Both pain and mental health conditions are common among young people. They often co-occur, but we wanted to investigate further whether it is pain (abdominal pain, headache, musculoskeletal pain, menstrual pain) that precedes mental health conditions (depression, anxiety, stress, phobia) or whether it is the other way around, mental health conditions that precede pain. Using electronic health records-the Skåne Healthcare Register-we identified and followed young people aged 7 to 18 over a 13-year period and tracked all their registered diagnoses. Using Poisson regression, we analyzed the incidence rate ratio (IRR) of being diagnosed with mental health conditions after an initial diagnosis of pain and vice versa the IRR of being diagnosed with pain after an initial diagnosis of a mental health condition. Among individuals with pain, 12,054 (23%) later received a diagnosis of a mental health condition. The IRR for a mental health condition after pain was 2.86 (95% (confidence interval) CI = 2.78-2.94) compared to not having pain, adjusted for age, sex, and prior health care consultations. Among individuals with mental health conditions, 3,688 (17%) later received a diagnosis of pain. The adjusted IRR was 1.57 (95% CI = 1.52-1.63). Compared to boys, girls had consistently higher estimates, and the same was found for the younger individuals compared to the older ones. Individuals with pain have a 3-fold increased risk of developing mental health conditions, while the risk of developing pain after mental health conditions was lower although still elevated compared to young people seeking care regardless of cause. PERSPECTIVE: Young people with pain have a 3-fold increased risk of developing mental health conditions, while the reverse risk is lower but still elevated compared to young people without these conditions. Health care professionals must recognize the interplay between pain and mental health in young patients when diagnosing and planning treatment.

Features and behaviours for weight loss in the Chilean cohort with obesity from the ACTION study.

In Latin America, obesity rates are among the highest in the world. Currently, people with obesity (PWO) receive suboptimal care due to several challenges and barriers. The international ACTION-IO study aimed to identify perceptions, attitudes and behaviours of PWO and healthcare providers (HCP), and to assess potential barriers to effective obesity care. The aim of this subanalysis of the Chilean cohort was to compare their characteristics, perceptions, attitudes and behaviours according to the percentage of weight loss (lower weight loss [LWL; ≤10%] or higher weight loss [HWL; >10%] of basal weight). The ACTION-IO survey was completed by 1000 Chilean PWO and 200 HCPs. Mean age of PWO was 38 years (range 18-75); 62% were female. The majority had class I obesity. HWL subgroup represented 17.2% of all Chilean subset. Specific characteristics of patients with HWL were identified (higher educational level, lower proportion of class III obesity, preference for consulting obesity specialists, considering conversations with HCP as very helpful). HWL patients reported higher rates of favourable outcomes following HCP advice and a higher probability of attending scheduled follow-up visits. Certain demographic and behavioural variables (educational level, consultation to obesity specialists, adherence to HCP advice, follow-up scheduled visits and becoming aware of the obesity state) may identify PWO with a higher probability of a greater weight loss.

Feto-placental Unit: From Development to Function.

The placenta is an intriguing organ that allows us to survive intrauterine life. This essential organ connects both mother and fetus and plays a crucial role in maternal and fetal well-being. This chapter presents an overview of the morphological and functional aspects of human placental development. First, we describe early human placental development and the characterization of the cell types found in the human placenta. Second, the human placenta from the second trimester to the term of gestation is reviewed, focusing on the morphology and specific pathologies that affect the placenta. Finally, we focus on the placenta's primary functions, such as oxygen and nutrient transport, and their importance for placental development.

Prolonged opioid use after distal radius fracture.

BACKGROUND: Prolonged opioid use (more than 90 days) after injury puts the patient at risk for adverse effects. We investigated the patterns of opioid prescription after distal radius fracture and the effect of pre- and post-fracture factors on the risk for prolonged use. METHODS: This register-based cohort study uses routinely collected health care data, including purchases of prescription opioids, in the county of Skåne, Sweden. 9369 adult patients with a radius fracture diagnosed 2015-2018 were followed for 1 year after fracture. We calculated proportions of patients with prolonged opioid use, both in total and according to different exposures. Using modified Poisson regression, we calculated adjusted risk ratios for the following exposures: previous opioid use, mental illness, consultation for pain, surgery for distal radius fracture and occupational/physical therapy after fracture. RESULTS: Prolonged opioid use (4-6 months after fracture) was found in 664 (7.1%) of the patients. A previous, but discontinued, regular use of opioids up to 5 years before fracture increased the risk compared to opioid-naïve patients. Both regular and non-regular opioid use the year before fracture increased the risk. The risk was also higher for patients with mental illness, and those who were treated with surgery, we found no significant effect of pain consultation in previous year. Occupational/physical therapy lowered the risk for prolonged use. CONCLUSION: Considering history of mental illness and previous opioid use while promoting rehabilitation can be important to prevent prolonged opioid use after distal radius fracture. SIGNIFICANCE: We show that a common injury such as distal radius fracture can be a gateway to prolonged opioid use, especially among patients with previous history of opioid use or mental illness. Importantly, previous opioid use as far back as 5 years earlier greatly increases the risk of regular use after the reintroduction of opioids. Considering past use is important when planning treatment with opioids. Occupational or physical therapy after injury is associated with lower risk of prolonged use and should be encouraged.

An mHealth Intervention to Reduce Gestational Obesity (mami-educ): Protocol for a Randomized Controlled Trial.

BACKGROUND: The World Federation of Obesity warns that the main health problem of the next decade will be childhood obesity. It is known that factors such as gestational obesity produce profound effects on fetal programming and are strong predictors of overweight and obesity in children. Therefore, establishing healthy eating behaviors during pregnancy is the key to the primary prevention of the intergenerational transmission of obesity. Mobile health (mHealth) programs are potentially more effective than face-to-face interventions, especially during a public health emergency such as the COVID-19 outbreak. OBJECTIVE: This study aims to evaluate the effectiveness of an mHealth intervention to reduce excessive weight gain in pregnant women who attend family health care centers. METHODS: The design of the intervention corresponds to a classic randomized clinical trial. The participants are pregnant women in the first trimester of pregnancy who live in urban and semiurban areas. Before starting the intervention, a survey will be applied to identify the barriers and facilitators perceived by pregnant women to adopt healthy eating behaviors. The dietary intake will be estimated in the same way. The intervention will last for 12 weeks and consists of sending messages through a multimedia messaging service with food education, addressing the 3 domains of learning (cognitive, affective, and psychomotor). Descriptive statistics will be used to analyze the demographic, socioeconomic, and obstetric characteristics of the respondents. The analysis strategy follows the intention-to-treat principle. Logistic regression analysis will be used to compare the intervention with routine care on maternal pregnancy outcome and perinatal outcome. RESULTS: The recruitment of study participants began in May 2022 and will end in May 2023. Results include the effectiveness of the intervention in reducing the incidence of excessive gestational weight gain. We also will examine the maternal-fetal outcome as well as the barriers and facilitators that influence the weight gain of pregnant women. CONCLUSIONS: Data from this effectiveness trial will determine whether mami-educ successfully reduces rates of excessive weight gain during pregnancy. If successful, the findings of this study will generate knowledge to design and implement personalized prevention strategies for gestational obesity that can be included in routine primary care. TRIAL REGISTRATION: ClinicalTrials.gov NCT05114174; https://clinicaltrials.gov/ct2/show/NCT05114174. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/44456.

Impact of Remote Monitoring Technologies for Assisting Patients With Gestational Diabetes Mellitus: A Systematic Review.

Introduction: In Chile, 1 in 8 pregnant women of middle socioeconomic level has gestational diabetes mellitus (GDM), and in general, 5-10% of women with GDM develop type 2 diabetes after giving birth. Recently, various technological tools have emerged to assist patients with GDM to meet glycemic goals and facilitate constant glucose monitoring, making these tasks more straightforward and comfortable. Objective: To evaluate the impact of remote monitoring technologies in assisting patients with GDM to achieve glycemic goals, and know the respective advantages and disadvantages when it comes to reducing risk during pregnancy, both for the mother and her child. Methods: A total of 188 articles were obtained with the keywords "gestational diabetes mellitus," "GDM," "gestational diabetes," added to the evaluation levels associated with "glucose level," "glycemia," "glycemic index," "blood sugar," and the technological proposal to evaluate with "glucometerm" "mobile application," "mobile applications," "technological tools," "telemedicine," "technovigilance," "wearable" published during the period 2016-2021, excluding postpartum studies, from three scientific databases: PUBMED, Scopus and Web of Science. These were managed in the Mendeley platform and classified using the PRISMA method. Results: A total of 28 articles were selected after elimination according to inclusion and exclusion criteria. The main measurement was glycemia and 4 medical devices were found (glucometer: conventional, with an infrared port, with Bluetooth, Smart type and continuous glucose monitor), which together with digital technology allow specific functions through 2 identified digital platforms (mobile applications and online systems). In four articles, the postprandial glucose was lower in the Tele-GDM groups than in the control group. Benefits such as improved glycemic control, increased satisfaction and acceptability, maternal confidence, decreased gestational weight gain, knowledge of GDM, and other relevant aspects were observed. There were also positive comments regarding the optimization of the medical team's time. Conclusion: The present review offers the opportunity to know about the respective advantages and disadvantages of remote monitoring technologies when it comes to reducing risk during pregnancy. GDM centered technology may help to evaluate outcomes and tailor personalized solutions to contribute to women's health. More studies are needed to know the impact on a healthcare system.

Glycaemia dynamics in gestational diabetes mellitus.

Pregnant women may develop gestational diabetes mellitus (GDM), a disease of pregnancy characterised by maternal and fetal hyperglycaemia with hazardous consequences to the mother, the fetus, and the newborn. Maternal hyperglycaemia in GDM results in fetoplacental endothelial dysfunction. GDM-harmful effects result from chronic and short periods of hyperglycaemia. Thus, it is determinant to keep glycaemia within physiological ranges avoiding short but repetitive periods of hyper or hypoglycaemia. The variation of glycaemia over time is defined as 'glycaemia dynamics'. The latter concept regards with a variety of mechanisms and environmental conditions leading to blood glucose handling. In this review we summarized the different metrics for glycaemia dynamics derived from quantitative, plane distribution, amplitude, score values, variability estimation, and time series analysis. The potential application of the derived metrics from self-monitoring of blood glucose (SMBG) and continuous glucose monitoring (CGM) in the potential alterations of pregnancy outcome in GDM are discussed.

Exposome and foetoplacental vascular dysfunction in gestational diabetes mellitus.

A balanced communication between the mother, placenta and foetus is crucial to reach a successful pregnancy. Several windows of exposure to environmental toxins are present during pregnancy. When the women metabolic status is affected by a disease or environmental toxin, the foetus is impacted and may result in altered development and growth. Gestational diabetes mellitus (GDM) is a disease of pregnancy characterised by abnormal glucose metabolism affecting the mother and foetus. This disease of pregnancy associates with postnatal consequences for the child and the mother. The whole endogenous and exogenous environmental factors is defined as the exposome. Endogenous insults conform to the endo-exposome, and disruptors contained in the immediate environment are the ecto-exposome. Some components of the endo-exposome, such as Selenium, vitamins D and B12, adenosine, and a high-fat diet, and ecto-exposome, such as the heavy metals Arsenic, Mercury, Lead and Copper, and per- and polyfluoroakyl substances, result in adverse pregnancies, including an elevated risk of GDM or gestational diabesity. The impact of the exposome on the human placenta's vascular physiology and function in GDM and gestational diabesity is reviewed.

Gestational diabesity and foetoplacental vascular dysfunction.

Gestational diabetes mellitus (GDM) shows a deficiency in the metabolism of D-glucose and other nutrients, thereby negatively affecting the foetoplacental vascular endothelium. Maternal hyperglycaemia and hyperinsulinemia play an important role in the aetiology of GDM. A combination of these and other factors predisposes women to developing GDM with pre-pregnancy normal weight, viz. classic GDM. However, women with GDM and prepregnancy obesity (gestational diabesity, GDty) or overweight (GDMow) show a different metabolic status than women with classic GDM. GDty and GDMow are associated with altered l-arginine/nitric oxide and insulin/adenosine axis signalling in the human foetoplacental microvascular and macrovascular endothelium. These alterations differ from those observed in classic GDM. Here, we have reviewed the consequences of GDty and GDMow in the modulation of foetoplacental endothelial cell function, highlighting studies describing the modulation of intracellular pH homeostasis and the potential implications of NO generation and adenosine signalling in GDty-associated foetal vascular insulin resistance. Moreover, with an increase in the rate of obesity in women of childbearing age worldwide, the prevalence of GDty is expected to increase in the next decades. Therefore, we emphasize that women with GDty and GDMow should be characterized with a different metabolic state from that of women with classic GDM to develop a more specific therapeutic approach for protecting the mother and foetus.

Using Machine Learning to Predict Complications in Pregnancy: A Systematic Review.

Introduction: Artificial intelligence is widely used in medical field, and machine learning has been increasingly used in health care, prediction, and diagnosis and as a method of determining priority. Machine learning methods have been features of several tools in the fields of obstetrics and childcare. This present review aims to summarize the machine learning techniques to predict perinatal complications. Objective: To identify the applicability and performance of machine learning methods used to identify pregnancy complications. Methods: A total of 98 articles were obtained with the keywords "machine learning," "deep learning," "artificial intelligence," and accordingly as they related to perinatal complications ("complications in pregnancy," "pregnancy complications") from three scientific databases: PubMed, Scopus, and Web of Science. These were managed on the Mendeley platform and classified using the PRISMA method. Results: A total of 31 articles were selected after elimination according to inclusion and exclusion criteria. The features used to predict perinatal complications were primarily electronic medical records (48%), medical images (29%), and biological markers (19%), while 4% were based on other types of features, such as sensors and fetal heart rate. The main perinatal complications considered in the application of machine learning thus far are pre-eclampsia and prematurity. In the 31 studies, a total of sixteen complications were predicted. The main precision metric used is the AUC. The machine learning methods with the best results were the prediction of prematurity from medical images using the support vector machine technique, with an accuracy of 95.7%, and the prediction of neonatal mortality with the XGBoost technique, with 99.7% accuracy. Conclusion: It is important to continue promoting this area of research and promote solutions with multicenter clinical applicability through machine learning to reduce perinatal complications. This systematic review contributes significantly to the specialized literature on artificial intelligence and women's health.