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The risk of an infant not being breastfed within the first 12 months of life increased in cases of violence before/during pregnancy (95% confidence interval [CI] = 1.03-1.88), recurrent psychological/physical/sexual violence during pregnancy (95% CI = 1.11-1.92), recurrent psychological violence (95% CI = 1.05-1.96), and recurrent physical/sexual violence (95% CI = 1.01-2.39). Violence with pregnancy complications (95% CI = 0.94-2.22) was not associated with breastfeeding interruption. Similar risks of breastfeeding interruption were observed for IPV (95% CI = 0.96-1.87) and violence perpetrated by other family members (95% CI = 0.83-1.89). Conclusions We observed a shorter breastfeeding duration up to 12 months of life in cases of recurrent violence.Background Metabolic syndrome (MetS) is defined as a cluster of interrelated factors that significantly increase the risk of cardiovascular diseases, including stroke. The aim of this study was to investigate the connection between MetS and its diagnostic criteria with the severity and outcome of stroke after recanalization therapy. Methods Ninety four patients with acute ischemic stroke were included in the study. Patients were categorized into two groups with (n = 47) or without MetS (n = 47). We analyzed their demographic data, medical history, individual criteria for MetS, anthropometric characteristics, stroke severity (National Institute of Health Stroke Scale [NIHSS], neuroimaging criteria, laboratory), recanalization treatment method (thrombolysis and/or thrombectomy), recanalization rate, and in-hospital complications rate. Late outcome (in 12 months follow-up) was measured by modified Rankin scale, followed by functional evaluation of plegic hand, walking assessment, self-care ability, physical therapy days, and major adverse cardiovascular events. MetS was determined, in case the participant had three of the five criteria using National Cholesterol Education Program (NCEP) guidelines. A probability value of less then 0.05 was considered statistically significant. Results 92.6% of all patients had hypertension and 63.8% were obese. Despite the fact that there were no statistically significant differences in stroke severity and/or recanalization rate between two groups, MetS patients had to use devices more, while performing hand functions (P = 0.027). Nonassisted walking was proved to be more frequent among patients without MetS (P = 0.020). selleck MetS patients proved less ability for self-care (44.4% vs. 75%, P = 0.031) and spent more days in physical therapy (median 30.0 vs. 16.5, P = 0.043). Conclusion MetS in poststroke patients is related with poorer recovery of hand function, walking abilities, and more days spent in physical therapy.Purpose The purpose of this article is to demonstrate the need for and utility of using a taxonomic approach for evidence aggregation and meta-analyses, with focus on prevention and reduction of childhood obesity in very young children. As evidence has been generated through heterogeneous efforts, it is important that the field makes use of all available evidence to learn what works, for who, and in what circumstances. Methods The Childhood Obesity Evidence Base (COEB) project conducted a taxonomic meta-analysis, using Grounded Theory to code elements present in reports of existing studies and initiatives, of diverse design and evaluation approaches, which were then mapped onto the levels of the socio-ecologic model. This article is the fourth in a series that describes the COEB project overall. It discusses both generally and specifically how taxonomies contribute to traditional meta-analytic methods, what questions can and cannot be answered, the method's contribution to translational (implementation) capacity, and ability to inform future efforts. Results The COEB project illustrates how the taxonomic meta-analytic approach broadens the evidence base, increases translational capacity for effective intervention components, and evaluates the influence of contextual elements to inform future initiatives. How the method is used to establish associations between varying intervention components, contextual elements, and outcomes is discussed. Conclusions Taxonomies generated through this process can be used for meta-analysis, serving to generate topic-specific questions associated with intervention approaches and outcomes in context, which is adjunctive to traditional meta-analytic methods and can inform public health approaches.Meta-analysis has been used to examine the effectiveness of childhood obesity prevention efforts, yet traditional conventional meta-analytic methods restrict the kinds of studies included, and either narrowly define mechanisms and agents of change, or examine the effectiveness of whole interventions as opposed to the specific actions that comprise interventions. Taxonomic meta-analytic methods widen the aperture of what can be included in a meta-analysis data set, allowing for inclusion of many types of interventions and study designs. The National Collaborative on Childhood Obesity Research Childhood Obesity Evidence Base (COEB) project focuses on interventions intended to prevent childhood obesity in children 2-5 years old who have an outcome measure of BMI. The COEB created taxonomies, anchored in the Social Ecological Model, which catalog specific outcomes, intervention components, intended recipients, and contexts of policies, initiatives, and interventions conducted at the individual, interpersonal, organizational, community, and societal level. Taxonomies were created by discovery from the literature itself using grounded theory. This article describes the process used for a novel taxonomic meta-analysis of childhood obesity prevention studies between the years 2010 and 2019. This method can be applied to other areas of research, including obesity prevention in additional populations.Objective To evaluate the efficacy of childhood obesity interventions and conduct a taxonomy of intervention components that are most effective in changing obesity-related health outcomes in children 2-5 years of age. Methods Comprehensive searches located 51 studies from 18,335 unique records. Eligible studies (1) assessed children aged 2-5, living in the United States; (2) evaluated an intervention to improve weight status; (3) identified a same-aged comparison group; (4) measured BMI; and (5) were available between January 2005 and August 2019. Coders extracted study, sample, and intervention characteristics. Effect sizes [ESs; and 95% confidence intervals (CIs)] were calculated by using random-effects models. Meta-regression was used to determine which intervention components explain variability in ESs. Results Included were 51 studies evaluating 58 interventions (N = 29,085; mean age = 4 years; 50% girls). Relative to controls, children receiving an intervention had a lower BMI at the end of the intervention (g = 0.
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