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Periconceptional maternal obesity is linked to adverse maternal and neonatal outcomes. Identifying periconceptional biomarkers of pathways affected by maternal obesity can unravel pathophysiologic mechanisms and identify individuals at risk of adverse clinical outcomes. The literature was systematically reviewed to identify periconceptional biomarkers of the endocrine, inflammatory and one-carbon metabolic pathways influenced by maternal obesity. A search was conducted in Embase, Ovid Medline All, Web of Science Core Collection and Cochrane Central Register of Controlled Trials databases, complemented by manual search in PubMed until December 31st, 2020. Eligible studies were those that measured biomarker(s) in relation to maternal obesity, overweight/obesity or body mass index (BMI) during the periconceptional period (14 weeks preconception until 14 weeks post conception). The ErasmusAGE score was used to assess the quality of included studies. Fifty-one articles were included that evaluated over 40 biomarkers. Endocrine biomarkers associated with maternal obesity included leptin, insulin, thyroid stimulating hormone, adiponectin, progesterone, free T4 and human chorionic gonadotropin. C-reactive protein was associated with obesity as part of the inflammatory pathway, while the associated one-carbon metabolism biomarkers were folate and vitamin B12. BMI was positively associated with leptin, C-reactive protein and insulin resistance, and negatively associated with Free T4, progesterone and human chorionic gonadotropin. Concerning the remaining studied biomarkers, strong conclusions could not be established due to limited or contradictory data. Future research should focus on determining the predictive value of the optimal set of biomarkers for their use in clinical settings. The most promising biomarkers include leptin, adiponectin, human chorionic gonadotropin, insulin, progesterone and CRP.
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Leptina , Obesidade Materna , Recém-Nascido , Gravidez , Humanos , Feminino , Proteína C-Reativa , Adiponectina , Progesterona , Obesidade , Biomarcadores , Insulina , Gonadotropina Coriônica , CarbonoRESUMO
BACKGROUND: Lifestyle behaviors during the periconception period contribute to achievement of a successful pregnancy. Assessment of attitudes and practices toward these modifiable behaviors can aid in identifying gaps in unhealthy lifestyle behaviors with impact on intervention effectiveness. OBJECTIVE: This study investigates the effectiveness of coaching by the eHealth program Smarter Pregnancy during the periconception period on improvement of attitudes and practices toward fruit and vegetable intake and smoking in women attempting pregnancy through assisted reproductive technology (ART) or natural conception. METHODS: Women attempting pregnancy through ART (n=1060) or natural conception (n=631) were selected during the periconception period. The intervention groups, conceived through ART or naturally, received Smarter Pregnancy coaching for 24 weeks, whereas the control group conceived through ART and did not receive coaching. Attitudes and practices at baseline and follow-up periods were obtained from self-administered online questionnaire provided by the program. Attitudes were assessed in women with unhealthy behaviors as their intention to increase their fruit and vegetable intake and to quit smoking using a yes/no question. Outcomes on practices, suggesting effectiveness, included daily fruit (pieces) and vegetable (grams) intake, and if women smoked (yes/no). Changes in attitudes and practices were compared at 12 and 24 weeks with baseline between the ART intervention and ART control groups, and within the intervention groups between ART and natural conception. Changes in practices at 12 and 24 weeks were also compared with baseline between women with negative attitude and positive attitude within the intervention groups: ART and natural conception. Analysis was performed using linear and logistic regression models adjusted for maternal confounders and baseline attitudes and practices. RESULTS: The ART intervention group showed higher vegetable intake and lower odds for negative attitudes toward vegetable intake after 12 weeks (ßadj=25.72 g, P<.001; adjusted odds ratio [ORadj] 0.24, P<.001) and 24 weeks of coaching (ßadj=23.84 g, P<.001; ORadj 0.28, P<.001) compared with ART controls. No statistically significant effect was observed on attitudes and practices toward fruit intake (12 weeks: P=.16 and .08, respectively; 24 weeks: P=.16 and .08, respectively) and smoking behavior (12 weeks: P=.87; 24 weeks: P=.92). No difference was observed for the studied attitudes and practices between the ART intervention and natural conception intervention groups. Women with persistent negative attitude toward fruit and vegetable intake at week 12 showed lower fruit and vegetable intake at week 24 compared with women with positive attitude (ßadj=-.49, P<.001; ßadj=-30.07, P<.001, respectively). CONCLUSIONS: The eHealth Smarter Pregnancy program may improve vegetable intake-related attitudes and practices in women undergoing ART treatment. Women with no intention to increase fruit and vegetable intake had less improvement in their intakes. Despite small changes, this study demonstrates again that Smarter Pregnancy can be used to improve vegetable intake, which can complemented by blended care that combines face-to-face and online care to also improve fruit intake and smoking behavior.
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Tutoria , Telemedicina , Gravidez , Humanos , Feminino , Estudos Prospectivos , Estilo de Vida , Frutas , VerdurasRESUMO
Children with autism spectrum disorder (ASD) exhibit restrictive and repetitive behaviors that affect their eating habits. The purpose of this study is to identify the behavioral feeding problems and eating habits among ASD children compared to typically developed (TD) children age/gender-matched controls, along with their parents'/caregivers' strategies for dealing with them. It included 43 ASD children and 43 TD children aged two to eleven years. The analysis was performed based on two valid questionnaires: the Behavior Pediatrics Feeding Assessment Scale (BPFA) and "My Child Eating Habits" (MCEH). The BPFA and MCEH scores conceded three manifestations that fall into food selectivity and problematic mealtime behavior in both groups of children. Compared to TD children, children with ASD exhibited higher BPFA scores, which indicated food-related behavioral and skill-based problems (p = 0.004). Children with ASD were less likely to consume fruits, vegetables, and milk than TD children, which may lead to nutritional deficiencies (p = 0.003, p = 0.003, and p = 0.010, respectively). Parents of ASD children were concerned about their behavioral problems and expressed their intention of an early intervention. These findings highlight the importance of nutritional clinical routines that incorporate the evaluation of the nutritional status and feeding behaviors of ASD children.
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BACKGROUND & AIMS: Periconceptional maternal dietary patterns contribute to embryonic growth and development. No knowledge is available about the impact of periconceptional maternal ultra-processed food consumption on embryonic growth. Therefore, the aim of the present study is to investigate the impact of periconceptional maternal ultra-processed food consumption on embryonic growth using repeated crown-rump length (CRL) and embryonic volume (EV) measurements. METHODS: This study is embedded in the ongoing prospective observational Rotterdam periconceptional cohort (Predict Study). A total of 701 pregnancies, of which 446 were conceived after natural conception and 255 after IVF or ICSI treatment were included. Women were at least 18 years of age and were recruited at the outpatient clinic before 13+0 weeks of gestation. CRL and EV were measured using three-dimensional ultrasound datasets and virtual reality techniques at the 7th, 9th and 11th week of gestation. The food frequency questionnaire of each participant was used to calculate the percentage of maternal energy consumed from ultra-processed foods (PEI-UPF) for each participant. The association between PEI-UPF and the first trimester CRL and EV measurements was studied with linear mixed models and adjusted for potential confounders including maternal factors, gestational age, foetal sex, and total energy intake. RESULTS: PEI-UPF ranged from 16% to 88%. In fully adjusted linear mixed models, a 10% increase in maternal PEI-UPF was significantly associated with smaller growth trajectories of CRL and EV (b -0.041 âmm (95% confidence interval (CI) -0.074 to -0.008), P = 0.02 and b -0.016 âcm (95% CI -0.030 to -0.001), P = 0.04, respectively). When additionally adjusted for micronutrient content of diet (vitamins B1, B2, B6, B11 and B12, and zinc), the associations for the CRL and EV measurements lost significance. CONCLUSION: Periconceptional maternal consumption of ultra-processed foods is associated with smaller embryonic growth. Interventions promoting healthy food practices during pregnancy could be beneficial for embryonic growth.
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Desenvolvimento Fetal , Ultrassonografia Pré-Natal , Estatura Cabeça-Cóccix , Feminino , Humanos , Gravidez , Estudos Prospectivos , Fatores Sexuais , Ultrassonografia Pré-Natal/métodosRESUMO
The societal burden of non-communicable disease is closely linked with environmental exposures and lifestyle behaviours, including the adherence to a poor maternal diet from the earliest preimplantation period of the life course onwards. Epigenetic variations caused by a compromised maternal nutritional status can affect embryonic development. This review summarises the main epigenetic modifications in mammals, especially DNA methylation, histone modifications, and ncRNA. These epigenetic changes can compromise the health of the offspring later in life. We discuss different types of nutritional stressors in human and animal models, such as maternal undernutrition, seasonal diets, low-protein diet, high-fat diet, and synthetic folic acid supplement use, and how these nutritional exposures epigenetically affect target genes and their outcomes. In addition, we review the concept of thrifty genes during the preimplantation period, and some examples that relate to epigenetic change and diet. Finally, we discuss different examples of maternal diets, their effect on outcomes, and their relationship with assisted reproductive technology (ART), including their implications on epigenetic modifications.