Although meal replacement can lead to weight reduction, there is uncertainty whether this dietary approach implemented into a lifestyle programme can improve long-term dietary intake. In this ...subanalysis of the
(ACOORH) study (
= 463), participants with metabolic risk factors were randomly assigned to either a meal replacement-based lifestyle intervention group (INT) or a lifestyle intervention control group (CON). This subanalysis relies only on data of participants (
= 119) who returned correctly completed dietary records at baseline, and after 12 and 52 weeks. Both groups were not matched for nutrient composition at baseline. These data were further stratified by sex and also associated with weight change. INT showed a higher increase in protein intake related to the daily energy intake after 12 weeks (+6.37% 4.69; 8.04 vs. +2.48% 0.73; 4.23,
< 0.001) of intervention compared to CON. Fat and carbohydrate intake related to the daily energy intake were more strongly reduced in the INT compared to CON (both
< 0.01). After sex stratification, particularly INT-women increased their total protein intake after 12 (INT: +12.7 g vs. CON: -5.1 g,
= 0.021) and 52 weeks (INT: +5.7 g vs. CON: -16.4 g,
= 0.002) compared to CON. Protein intake was negatively associated with weight change (r = -0.421;
< 0.001) after 12 weeks. The results indicate that a protein-rich dietary strategy with a meal replacement can improve long-term nutritional intake, and was associated with weight loss.
While obesity impairs health-related quality of life (HRQOL), lifestyle interventions targeting weight reduction have been effective in improving HRQOL. Therefore, we hypothesised that a meal ...replacement-based lifestyle intervention, which has been shown to successfully reduce weight, would also improve HRQOL more effectively than a lifestyle intervention alone. In the international, multicenter, randomised-controlled ACOORH-trial (Almased-Concept-against- Overweight-and-Obesity-and-Related-Health-Risk), overweight or obese participants with elevated risk for metabolic syndrome (n = 463) were randomised into two groups. Both groups received telemonitoring devices and nutritional advice. The intervention group additionally used a protein-rich, low-glycaemic meal replacement for 6 months. HRQOL was estimated at baseline, after 3 and 12 months, using the SF-36 questionnaire, and all datasets providing HRQOL data (n = 263) were included in this predefined subanalysis. Stronger improvements in the physical component summary (PCS) were observed in the intervention compared to the control group, peaking after 3 months (estimated treatment difference 2.7 1.2; 4.2; p < 0.0001), but also in the long-term. Multiple regression analysis demonstrated that insulin levels and the achieved weight loss were associated with the mental component summary (MCS) after 12 months (p < 0.05). Thus, meal replacement-based lifestyle intervention is not only effective in weight reduction but, concomitantly, in enhancing HRQOL.
Background:
Recently published genetic studies have indicated a causal link between elevated insulin levels and cardiovascular disease (CVD) risk. We, therefore, hypothesized that increased fasting ...insulin levels are also associated with precursors of CVD such as endothelial lesions.
Methods:
Middle-aged (≥40 years,
n
= 1,639) employees were followed up for the occurrence of increased intima media thickness (IMT ≥ 1 mm) or plaques in abdominal or cervical arteries (arteriosclerosis). Multivariable logistic regression analyses determined the incidence of increased IMT or arteriosclerosis. Adjusted relative risk (ARR) for increased IMT and arteriosclerosis was calculated by using Mantel-Haenszel analysis.
Results:
Increased IMT was diagnosed in 238 participants (15 %) and 328 (20 %) developed arteriosclerosis after 5 years of follow-up. Logistic regression analysis identified fasting insulin, BMI and smoking as risk factors for both cardiovascular endpoints (all
p
< 0.05), whereas age and diastolic blood pressure were risk factors for increased IMT only, and male sex was associated with incident arteriosclerosis only (all
p
< 0.01). Additional adjustment for BMI change during follow-up did not modify these associations (including fasting insulin), but adjustment for fasting insulin change during follow-up removed BMI as risk factor for both cardiovascular endpoints. Fasting insulin change during follow-up but not BMI change associated with increased IMT and arteriosclerosis (both
p
< 0.001). ARR analysis indicated that high fasting insulin and BMI added to age and sex as risk factors. Homeostatic model assessment of insulin resistance (HOMA-IR) did not associate with either cardiovascular endpoint in any model and smoking did not increase the risk conferred by high fasting insulin levels.
Conclusions:
Higher fasting insulin levels and increases in fasting insulin over time are associated with atherogenic progression and supersede BMI as well as HOMA-IR as risk factors.
Insulin resistance plays a key role in the development of type 2 diabetes. It arises from a combination of genetic predisposition and environmental and lifestyle factors including lack of physical ...exercise and poor nutrition habits. The increased risk of type 2 diabetes is molecularly based on defects in insulin signaling, insulin secretion, and inflammation. The present review aims to give an overview on the molecular mechanisms underlying the uptake of glucose and related signaling pathways after acute and chronic exercise. Physical exercise, as crucial part in the prevention and treatment of diabetes, has marked acute and chronic effects on glucose disposal and related inflammatory signaling pathways. Exercise can stimulate molecular signaling pathways leading to glucose transport into the cell. Furthermore, physical exercise has the potential to modulate inflammatory processes by affecting specific inflammatory signaling pathways which can interfere with signaling pathways of the glucose uptake. The intensity of physical training appears to be the primary determinant of the degree of metabolic improvement modulating the molecular signaling pathways in a dose-response pattern, whereas training modality seems to have a secondary role.
To adjust the decision criterion for the Word Memory Test (WMT, Green, 2003) to minimize the frequency of false positives.
Archival data were combined into a database (n = 3,210) to examine the best ...cut score for the WMT. We compared results based on the original scoring rules and those based on adjusted scoring rules using a criterion based on 16 performance validity tests (PVTs) exclusive of the WMT. Cutoffs based on peer-reviewed publications and test manuals were used. The resulting PVT composite was considered the best estimate of validity status. We focused on a specificity of .90 with a false-positive rate of less than .10 across multiple samples.
Each examinee was administered the WMT, as well as on average 5.5 (SD = 2.5) other PVTs. Based on the original scoring rules of the WMT, 31.8% of examinees failed. Using a single failure on the criterion PVT (C-PVT), the base rate of failure was 45.9%. When requiring two or more failures on the C-PVT, the failure rate dropped to 22.8%. Applying a contingency analysis (i.e., X
2
) to the two failures model on the C-PVT measure and using the original rules for the WMT resulted in only 65.3% agreement. However, using our adjusted rules for the WMT, which consisted of relying on only the IR and DR WMT subtest scores with a cutoff of 77.5%, agreement between the adjusted and the C-PVT criterion equaled 80.8%, for an improvement of 12.1% identified. The adjustmeny resulted in a 49.2% reduction in false positives while preserving a sensitivity of 53.6%. The specificity for the new rules was 88.8%, for a false positive rate of 11.2%.
Results supported lowering of the cut score for correct responding from 82.5% to 77.5% correct. We also recommend discontinuing the use of the Consistency subtest score in the determination of WMT failure.
Objective: Citation and download data pertaining to the 2009 AACN consensus statement on validity assessment indicated that the topic maintained high interest in subsequent years, during which key ...terminology evolved and relevant empirical research proliferated. With a general goal of providing current guidance to the clinical neuropsychology community regarding this important topic, the specific update goals were to: identify current key definitions of terms relevant to validity assessment; learn what experts believe should be reaffirmed from the original consensus paper, as well as new consensus points; and incorporate the latest recommendations regarding the use of validity testing, as well as current application of the term 'malingering.' Methods: In the spring of 2019, four of the original 2009 work group chairs and additional experts for each work group were impaneled. A total of 20 individuals shared ideas and writing drafts until reaching consensus on January 21, 2021. Results: Consensus was reached regarding affirmation of prior salient points that continue to garner clinical and scientific support, as well as creation of new points. The resulting consensus statement addresses definitions and differential diagnosis, performance and symptom validity assessment, and research design and statistical issues. Conclusions/Importance: In order to provide bases for diagnoses and interpretations, the current consensus is that all clinical and forensic evaluations must proactively address the degree to which results of neuropsychological and psychological testing are valid. There is a strong and continually-growing evidence-based literature on which practitioners can confidently base their judgments regarding the selection and interpretation of validity measures.
The present study provides a meta-analysis of cognitive rehabilitation literature (
K
= 115,
N
= 2,014) that was originally reviewed by K. D. Cicerone et al. (2000, 2005) for the purpose of providing ...evidence-based practice guidelines for persons with acquired brain injury. The analysis yielded a small treatment effect size (
ES
= .30,
d
+
statistic) directly attributable to cognitive rehabilitation. A larger treatment effect (
ES
= .71) was found for single-group pretest to posttest outcomes; however, modest improvement was observed for nontreatment control groups as well (
ES
= .41). Correction for this effect, which was not attributable to cognitive treatments, resulted in the small, but significant, overall estimate. Treatment effects were moderated by cognitive domain treated, time postinjury, type of brain injury, and age. The meta-analysis revealed sufficient evidence for the effectiveness of attention training after traumatic brain injury and of language and visuospatial training for aphasia and neglect syndromes after stroke. Results provide important quantitative documentation of effective treatments, complementing recent systematic reviews. Findings also highlight gaps in the scientific evidence supporting cognitive rehabilitation, thereby indicating future research directions.
Objective: Discrimination of patients passing vs. failing the Word Memory Test (WMT) by performance on 11 performance and symptom validity tests (PVTs, SVTs) from the Meyers Neuropsychological ...Battery (MNB) at per-test false positive cutoffs ranging from 0 to 15%. PVT and SVT intercorrelation in subgroups passing and failing the WMT, as well as the degree of skew of the individual PVTs and SVT in the pass/fail subgroups, were also analyzed.
Method: In 255 clinical and forensic cases, 100 failed and 155 passed the WMT, at a base-rate of invalid performance of 39.2%. Performance was contrasted on 10 PVTs and 1 SVT from the MNB, using per-test false positive rates of 0.0%, 3.3%, 5.0%, 10.0%, and 15.0% in discriminating WMT pass and WMT fail groups. These two WMT groups were also contrasted using the 10 PVTs and 1 SVT as continuous variables in a logistic regression.
Results: The per-PVT false positive rate of 10% yielded the highest WMT pass/fail classification, and more closely approximated the classification obtained by logistic regression than other cut scores. PVT and SVT correlations were higher in cases failing the WMT, and data were more highly skewed in those passing the WMT.
Conclusions: The optimal per-PVT and SVT cutoff is at a false positive rate of 10%, with failure of ≥3 PVTs/SVTs out of 11 yielding sensitivity of 61.0% and specificity of 90.3%. PVTs with the best classification had the greatest degree of skew in the WMT pass subgroup.
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