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141. Multiple Attribute Group Decision-Making Methods Based on Trapezoidal Fuzzy Two-Dimensional Linguistic Partitioned Bonferroni Mean Aggregation Operators Full Text available with Trip Pro

linguistic information. Then, to improve the accuracy of decision making in some case where there are a sort of interrelationship among the attributes, we analyze partition Bonferroni mean (PBM) operator in trapezoidal fuzzy two-dimensional variable environment and develop two operators: trapezoidal fuzzy two-dimensional linguistic partitioned Bonferroni mean (TF2DLPBM) aggregation operator and trapezoidal fuzzy two-dimensional linguistic weighted partitioned Bonferroni mean (TF2DLWPBM) aggregation (...) Multiple Attribute Group Decision-Making Methods Based on Trapezoidal Fuzzy Two-Dimensional Linguistic Partitioned Bonferroni Mean Aggregation Operators In this paper, we investigate multiple attribute group decision making (MAGDM) problems where decision makers represent their evaluation of alternatives by trapezoidal fuzzy two-dimensional uncertain linguistic variable. To begin with, we introduce the definition, properties, expectation, operational laws of trapezoidal fuzzy two-dimensional

2018 International journal of environmental research and public health

142. Maternal sedentary behavior during pre-pregnancy and early pregnancy and mean offspring birth size: a cohort study. Full Text available with Trip Pro

-parametric calibration weighting was used to assign adjustment weight (matching the distribution of sociodemographic and medical characteristics of the full cohort (N = 4128)) to participants with available sedentary behavior data. Weighted linear regression models were used to estimate mean differences in offspring birthweight, head circumference, and ponderal index (birthweight/length3) associated with leisure time sedentary behavior. Regression models were run overall and stratified by offspring sex (...) Maternal sedentary behavior during pre-pregnancy and early pregnancy and mean offspring birth size: a cohort study. Sedentary behavior is associated with adverse health outcomes in the general population. Whether sedentary behavior during pregnancy is associated with newborn outcomes, such as birth size, is not established, and previous studies have been inconsistent. While previous research suggests that male and female fetuses respond differently to maternal behaviors, such as physical

2018 BMC Pregnancy and Childbirth

143. Mean platelet volume in acute pancreatitis: a systematic review and meta-analysis study

is planned , please specify the following:"> Example: number of metastases: standardized mean difference; incidence of metastasis: risk ratio. ">Effect measure The random-effects model is the typical model of choice for pre-clinical meta-analyses. This is because in the fixed-effect model, it is assumed that the differences in observed effect between studies is solely due to sampling error (i.e. differences in sample size), and that the true effect is the same (fixed) across all studies. However (...) with data from the latest possible time point (in studies reporting an outcome at multiple time points). We will test the robustness of linear regression of time-to-treatment by performing stratified analysis (treatment pre-ischemia vs during vs post-ischemia). We will assess the effect of our decision to pool all reported scales for histological damage by re-running the analyses using only data from studies using the Jablonski scale. ">Sensitivity Example: For meta-analyses using the mean difference

2020 PROSPERO

144. Physical exercise as a means of reducing mental stress: a systematic review with meta-analysis

is planned , please specify the following:"> Example: number of metastases: standardized mean difference; incidence of metastasis: risk ratio. ">Effect measure The random-effects model is the typical model of choice for pre-clinical meta-analyses. This is because in the fixed-effect model, it is assumed that the differences in observed effect between studies is solely due to sampling error (i.e. differences in sample size), and that the true effect is the same (fixed) across all studies. However (...) with data from the latest possible time point (in studies reporting an outcome at multiple time points). We will test the robustness of linear regression of time-to-treatment by performing stratified analysis (treatment pre-ischemia vs during vs post-ischemia). We will assess the effect of our decision to pool all reported scales for histological damage by re-running the analyses using only data from studies using the Jablonski scale. ">Sensitivity Example: For meta-analyses using the mean difference

2020 PROSPERO

145. Determining optimal mean arterial pressure (MAP) using cerebral autoregulation in patients resuscitated after cardiac arrest: a systematic review

will be reported through a descriptive summary. ">Planned approach If a meta-analysis is planned , please specify the following:"> Example: number of metastases: standardized mean difference; incidence of metastasis: risk ratio. ">Effect measure The random-effects model is the typical model of choice for pre-clinical meta-analyses. This is because in the fixed-effect model, it is assumed that the differences in observed effect between studies is solely due to sampling error (i.e. differences in sample size (...) the Jablonski scale. ">Sensitivity Example: For meta-analyses using the mean difference or risk ration as effect measure and containing at least 20 studies, we will produce funnel plots and assess publication bias using Egger’s regression test. ">Publication bias

2020 PROSPERO

146. Exercise booster sessions as a mean to maintain the effect of an exercise-intervention - A Systematic Review (Working Title)

a descriptive summary. ">Planned approach If a meta-analysis is planned , please specify the following:"> Example: number of metastases: standardized mean difference; incidence of metastasis: risk ratio. ">Effect measure The random-effects model is the typical model of choice for pre-clinical meta-analyses. This is because in the fixed-effect model, it is assumed that the differences in observed effect between studies is solely due to sampling error (i.e. differences in sample size), and that the true (...) . ">Sensitivity Example: For meta-analyses using the mean difference or risk ration as effect measure and containing at least 20 studies, we will produce funnel plots and assess publication bias using Egger’s regression test. ">Publication bias

2020 PROSPERO

147. Mean blood flow velocity indices Mx and Mxa for assessing cerebral autoregulation in humans: a systematic methodological review of data recording and handling

will be reported through a descriptive summary. ">Planned approach If a meta-analysis is planned , please specify the following:"> Example: number of metastases: standardized mean difference; incidence of metastasis: risk ratio. ">Effect measure The random-effects model is the typical model of choice for pre-clinical meta-analyses. This is because in the fixed-effect model, it is assumed that the differences in observed effect between studies is solely due to sampling error (i.e. differences in sample size (...) the Jablonski scale. ">Sensitivity Example: For meta-analyses using the mean difference or risk ration as effect measure and containing at least 20 studies, we will produce funnel plots and assess publication bias using Egger’s regression test. ">Publication bias

2020 PROSPERO

148. Old adults' meaning in life and mental health: systematic review and meta-analysis.

is planned , please specify the following:"> Example: number of metastases: standardized mean difference; incidence of metastasis: risk ratio. ">Effect measure The random-effects model is the typical model of choice for pre-clinical meta-analyses. This is because in the fixed-effect model, it is assumed that the differences in observed effect between studies is solely due to sampling error (i.e. differences in sample size), and that the true effect is the same (fixed) across all studies. However (...) with data from the latest possible time point (in studies reporting an outcome at multiple time points). We will test the robustness of linear regression of time-to-treatment by performing stratified analysis (treatment pre-ischemia vs during vs post-ischemia). We will assess the effect of our decision to pool all reported scales for histological damage by re-running the analyses using only data from studies using the Jablonski scale. ">Sensitivity Example: For meta-analyses using the mean difference

2020 PROSPERO

149. Evaluation of mean hospitalized period of COVID-19 patients for future health plans: a systematic review and meta-analysis study

a descriptive summary. ">Planned approach If a meta-analysis is planned , please specify the following:"> Example: number of metastases: standardized mean difference; incidence of metastasis: risk ratio. ">Effect measure The random-effects model is the typical model of choice for pre-clinical meta-analyses. This is because in the fixed-effect model, it is assumed that the differences in observed effect between studies is solely due to sampling error (i.e. differences in sample size), and that the true (...) . ">Sensitivity Example: For meta-analyses using the mean difference or risk ration as effect measure and containing at least 20 studies, we will produce funnel plots and assess publication bias using Egger’s regression test. ">Publication bias

2020 PROSPERO

150. The Canadian Occupational Performance Measure as a means to assessing and evaluating occupational performance: A systematic review of measurement properties

will be reported through a descriptive summary. ">Planned approach If a meta-analysis is planned , please specify the following:"> Example: number of metastases: standardized mean difference; incidence of metastasis: risk ratio. ">Effect measure The random-effects model is the typical model of choice for pre-clinical meta-analyses. This is because in the fixed-effect model, it is assumed that the differences in observed effect between studies is solely due to sampling error (i.e. differences in sample size (...) the Jablonski scale. ">Sensitivity Example: For meta-analyses using the mean difference or risk ration as effect measure and containing at least 20 studies, we will produce funnel plots and assess publication bias using Egger’s regression test. ">Publication bias

2020 PROSPERO

151. A systematic review of clinical trials comparing carbohydrate-deficient transferrin, mean corpuscular volume and gamma-glutamyl transferase to reported alcohol consumption in patients diagnosed with alcohol use disorder

is required. If meta‐analysis is not possible, data will be reported through a descriptive summary. ">Planned approach If a meta-analysis is planned , please specify the following:"> Example: number of metastases: standardized mean difference; incidence of metastasis: risk ratio. ">Effect measure The random-effects model is the typical model of choice for pre-clinical meta-analyses. This is because in the fixed-effect model, it is assumed that the differences in observed effect between studies is solely (...) by re-running the analyses using only data from studies using the Jablonski scale. ">Sensitivity Example: For meta-analyses using the mean difference or risk ration as effect measure and containing at least 20 studies, we will produce funnel plots and assess publication bias using Egger’s regression test. ">Publication bias

2020 PROSPERO

152. The effects of aerobic exercise during healthy pregnancy on mean arterial pressure, arterial stiffness and risk of gestational hypertensive disorders: a systematic review and meta-analysis

is not possible, data will be reported through a descriptive summary. ">Planned approach If a meta-analysis is planned , please specify the following:"> Example: number of metastases: standardized mean difference; incidence of metastasis: risk ratio. ">Effect measure The random-effects model is the typical model of choice for pre-clinical meta-analyses. This is because in the fixed-effect model, it is assumed that the differences in observed effect between studies is solely due to sampling error (i.e (...) studies using the Jablonski scale. ">Sensitivity Example: For meta-analyses using the mean difference or risk ration as effect measure and containing at least 20 studies, we will produce funnel plots and assess publication bias using Egger’s regression test. ">Publication bias

2020 PROSPERO

153. Weight-adapted ultra-low-dose pancreatic perfusion CT: radiation dose, image quality, and perfusion parameters. (Abstract)

Weight-adapted ultra-low-dose pancreatic perfusion CT: radiation dose, image quality, and perfusion parameters. We evaluate the reliability and feasibility of weight-adapted ultra-low-dose pancreatic perfusion CT.A total of 100 (47 men, 53 women) patients were enrolled prospectively and were assigned to five groups (A, B, C, D, and E) with different combination of tube voltage and tube current according to their body weight. Radiation dose parameters including volume CT dose index (CTDI (...)  kg. The mean subjective image quality score was above 4.45 on a 5-point scale with good agreement between two radiologists. Groups A-D had equivalent performance on objective image quality (P > 0.05), while Group E performed even better (P < 0.05). No significant differences emerged in comparison with perfusion parameters (BF, BV, PMB) of normal pancreas parenchyma between the five groups.Weight-adapted ultra-low-dose pancreatic perfusion CT can effectively reduce radiation dose without prejudice

2019 Abdominal radiology (New York) Controlled trial quality: uncertain

154. Weight management: lifestyle services for overweight or obese adults

be in place to allow people to be referred to, or receive support from (or across) the different service tiers of an obesity pathway, as necessary. This includes referrals to and from lifestyle weight management programmes. All the options in the local obesity pathway should be made clear to both professionals and the public. Identify local services, facilities or groups that could be included in the local obesity pathway, meet the needs of different groups and address the wider determinants of health (...) find a waist circumference measurement helpful for self-monitoring, it does not help to assess people with a BMI greater than 35 kg/m 2 .) Recommendation 3 Raise awareness of local weight management issues among commissioners Local authorities and Public Health England should ensure all those commissioning lifestyle weight management services are aware of: the number of adults who are overweight or obese locally, including any variations in rates between different groups the effect of the local

2014 National Institute for Health and Clinical Excellence - Clinical Guidelines

155. The effect of CAG repeats length on differences in hirsutism among healthy Israeli women of different ethnicities. Full Text available with Trip Pro

levels were measured as well. The CAG repeats length was determined by PCR. Methylation-sensitive methods were used to detect the fractional activity of each allele, and the weighted mean was calculated for the CAG repeats length.One-hundred and eight women were recruited (49 Ashkenazi and 59 non-Ashkenazi). The Ashkenazi women had a significantly lower degree of hirsutism (P<0.01), lower mean BMI (P = 0.003), total testosterone levels (P = 0.017), and longer weighted bi-allelic CAG repeats mean (P (...) The effect of CAG repeats length on differences in hirsutism among healthy Israeli women of different ethnicities. Variations in the degree of hirsutism among women of different ethnic backgrounds may stem from multiple etiologies. Shorter length of the polymorphic CAG repeats of the androgen receptor (AR) gene may be associated with increased activity of the receptor leading to hirsutism. We hypothesized that there are ethnic differences in the degree of hirsutism that is unrelated to androgen

2018 PLoS ONE

156. Progestin-only contraceptives: effects on weight. Full Text available with Trip Pro

were lack of randomizations (NRS) and high loss to follow-up or early discontinuation.These 22 studies showed limited evidence of change in weight or body composition with use of POCs. Mean weight gain at 6 or 12 months was less than 2 kg (4.4 lb) for most studies. Those with multiyear data showed mean weight change was approximately twice as much at two to four years than at one year, but generally the study groups did not differ significantly. Appropriate counseling about typical weight gain may (...) between progestin-only contraceptive use and changes in body weight.Until 4 August 2016, we searched MEDLINE, CENTRAL, POPLINE, LILACS, ClinicalTrials.gov, and ICTRP. For the initial review, we contacted investigators to identify other trials.We considered comparative studies that examined a POC versus another contraceptive method or no contraceptive. The primary outcome was mean change in body weight or mean change in body composition. We also considered the dichotomous outcome of loss or gain

2016 Cochrane

157. Is control in the living environment important for health and wellbeing, and what does this mean for public health interventions?

Is control in the living environment important for health and wellbeing, and what does this mean for public health interventions? Is control in the living environment important for health and wellbeing, and what are the implications for public health interventions? Final Report November 2014 Margaret Whitehead, Lois Orton, Andy Pennington, Shilpa Nayak, Adele Ring 1 ; Mark Petticrew 2 ; Amanda Sowden 3 , Martin White 4 1 Department of Public Health and Policy, Institute of Psychology, Health (...) environment and health and wellbeing 14 3.3 Review 3: Systematic review of policies and interventions to influence control over the living environment (Objective 3) 18 4 MAIN FINDINGS: THEORY AND OBSERVATIONAL EVIDENCE 24 4.1 The meanings of ‘control’ and links to wellbeing 24 4.2 Measurement of control and wellbeing 26 4.3 Pathways from control to social inequalities in health 28 5 MAIN FINDINGS: INTERVENTION STUDIES TO ENHANCE CONTROL IN THE LIVING ENVIRONMENT 52 5.1 Review 3: Systematic review

2013 Public Health Research Consortium

158. Effect of antenatal dietary interventions in maternal obesity on pregnancy weight-gain and birthweight: Healthy Mums and Babies (HUMBA) randomized trial (Abstract)

maternal weight gain, a secondary outcome, was lower with dietary intervention compared with routine dietary advice (9.7 vs 11.4 kg, adjusted mean difference, -1.76, 95% confidence interval, -3.55 to 0.03). There were no significant differences between intervention groups in other secondary maternal or neonatal outcomes.Although dietary education and or probiotics did not alter rates of excessive gestational weight gain or birthweight in this multiethnic, high-deprivation population of pregnant women (...) in an area of high deprivation.To determine whether a culturally tailored dietary intervention and or daily probiotic capsules in pregnant women with obesity reduces the co-primary outcomes of (1) excessive gestational weight gain (mean >0.27 kg/week) and (2) birthweight.We conducted a 2 × 2 factorial, randomized controlled trial in women without diabetes at pregnancy booking, body mass index ≥30 kg/m2, and a singleton pregnancy. At 12+0 to 17+6 weeks' gestation, eligible women were randomized

2019 EvidenceUpdates

159. No Effect of Glucomannan on Body Weight Reduction in Children and Adolescents with Overweight and Obesity: A Randomized Controlled Trial (Abstract)

, respectively). Participants were assigned to receive glucomannan or placebo (maltodextrin), both at a dose of 3 g/d for 12 weeks and were followed up for the next 12 weeks. Concomitant care included dietary and lifestyle advice. The primary outcome was the difference in the BMI-for-age z score change between the groups at 12 weeks.Compared with the placebo, glucomannan had no effect on the BMI-for-age z score at 12 weeks (mean difference: 0.0, 95% CI -0.1 to 0.1). Compared with the placebo, the glucomannan (...) group had lower total and low-density lipoprotein cholesterol concentrations at 12 weeks. In addition, the blood pressure was greater at 12 weeks (systolic) and at 24 weeks (diastolic) in the glucomannan group. No differences between the groups in adverse events and other secondary outcomes were observed.Glucomannan supplementation compared with placebo had no effect on weight reduction in children with overweight and obesity.ClinicalTrials.govNCT02280772.Copyright © 2019 Elsevier Inc. All rights

2019 EvidenceUpdates

160. The Effects of Long-term CPAP on Weight Change in Patients With Comorbid OSA and Cardiovascular Disease: Data From the SAVE Trial Full Text available with Trip Pro

or cerebrovascular events and moderate to severe OSA. Participants with weight, BMI, and neck and waist circumferences measured at baseline and during follow-up were included. Linear mixed models were used to examine sex-specific temporal differences, and a sensitivity analysis compared high CPAP adherers (≥ 4 h per night) with propensity-matched control participants.A total of 2,483 adults (1,248 in the CPAP group and 1,235 in the control group) were included (mean 6.1 ± 1.5 measures of weight available). After (...) a mean follow-up of 3.78 years, there was no difference in weight change between the CPAP and control groups, for male subjects (mean [95% CI] between-group difference, 0.07 kg [-0.40 to 0.54]; P = .773) or female subjects (mean [95% CI] between-group difference, -0.14 kg [-0.37 to 0.09]; P = .233). Similarly, there were no significant differences in BMI or other anthropometric measures. Although male participants who used CPAP ≥ 4 h per night gained slightly more weight than matched male control

2019 EvidenceUpdates

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