Multivariate General Linear Model Research Articles

Effects of Supplementation with a Microalgae Extract from Phaeodactylum tricornutum Containing Fucoxanthin on Cognition and Markers of Health in Older Individuals with Perceptions of Cognitive Decline.

Forty-three males and females (64.3 ± 6.0 years, 79.8 ± 16.0 kg, 27.0 ± 4.0 kg/m2) with perceptions of cognitive and memory decline completed the double-blind, randomized, parallel-arm, placebo-controlled intervention clinical trial. Participants were counterbalanced by sex and BMI and randomly allocated to their respective 12-week supplementation interventions, which were either the placebo (PL) or 1100 mg/day of PT containing 8.8 mg of fucoxanthin (FX). Fasting blood samples were collected, and cognitive assessments were performed during the testing session at 0, 4, and 12 weeks of intervention. The data were analyzed by multivariate and univariate general linear model (GLM) analyses with repeated measures, pairwise comparisons, and mean changes from baseline analysis with 95% confidence intervals (CIs) to assess the clinical significance of the findings. FX supplementation significantly affected (p < 0.05) or exhibited tendencies toward significance (p > 0.05 to p < 0.10 with effect sizes ranging from medium to large) for word recall, picture recognition reaction time, Stroop color-word test, choice reaction time, and digit vigilance test variables. Additionally, FX supplementation promoted a more consistent clinical improvement from baseline values when examining mean changes with 95% CIs, although most differences were seen over time rather than between groups. The results demonstrate some evidence that FX supplementation can improve working and secondary memory, vigilance, attention, accuracy, and executive function. There was also evidence that FX promoted more positive effects on insulin sensitivity and perceptions about sleep quality with no negative effects on clinical blood panels or perceived side effects. Additional research should investigate how FX may affect cognition in individuals perceiving memory and cognitive decline. Registered clinical trial #NCT05759910.

Effect of Risk Factors on Blood Pressure Using Multivariate Model amongst Adult Tribal Population in a District of India

Abstract Background: This research study uses multivariate model to analyse the effect of various risk factors on blood pressure (BP) levels amongst adults in the tribal communities. Materials and Methods: A community-based cross-sectional observational study with adult tribal population residing in Lohandiguda, Bastar district, Chhattisgarh, India. A multistage sampling was followed and the modified World Health Organization questionnaire for hypertensive patients was used. Results: Three hundred and thirty adults were included. Positive moderate-weak correlation in all three groups shown by body mass index (BMI) (0.208, 0.214 and 0.287) and waist–hip ratio (WHR) (0.223, 0.240 and 0.359) with systolic BP and (BMI = 0.223, 0.240 and 0.240; WHR = 0.166, 0.198 and 0.288) diastolic BP, respectively, was found. The Pearson correlation coefficient shows that the highest predictor of high BP was BMI (0.226) followed by WHR (0.198), age (0.182), number of bidi/cigarette use per day (0.131) and smokeless tobacco frequency per day (0.114). The multivariate general linear model is moderately distinguishable (0.529) amongst all study subjects and (0.543) amongst addicted study subjects with BP having strong significance (0.000) each for addicted and overall study subjects. Conclusion: These findings call for careful consideration in the development of dietary recommendations, quitting addictions, increased attention on physical activities and public health policies tailored to tribal communities.

Distinct Patterns of Brain Atrophy in Amnestic Mild Cognitive Impairment and Motoric Cognitive Risk Syndromes.

Motoric cognitive risk (MCR) and amnestic mild cognitive impairment (aMCI) syndromes are each reliable predictors of incident Alzheimer's disease (AD), but MCR may be a stronger predictor of vascular dementia than AD. This study contrasted cortical and hippocampal atrophy patterns in MCR and aMCI. Cross-sectional data from 733 older adults without dementia or disability (M age = 73.6; 45% women) in the multicountry MCR consortium were examined. MCR was defined as presence of slow gait and cognitive concerns. Amnestic MCI was defined as poor episodic memory performance and cognitive concerns. Cortical thickness and hippocampal volumes were quantified from structural MRIs. Multivariate and univariate general linear models were used to examine associations between cortical thickness and hippocampal volume in MCR and aMCI, adjusting for age, sex, education, total intracranial volume, white matter lesions, and study site. The prevalence of MCR and aMCI was 7.64% and 12.96%, respectively. MCR was associated with widespread cortical atrophy, including prefrontal, insular, cingulate, motor, parietal, and temporal atrophy. aMCI was associated with hippocampal atrophy. Distinct patterns of atrophy were associated with MCR and aMCI. A distributed pattern of cortical atrophy - that is more consistent with VaD or mixed dementia- was observed in MCR. A more restricted pattern of atrophy - that is more consistent with AD - was observed in aMCI. The biological underpinnings of MCR and aMCI likely differ and may require tailored interventions.

Effectiveness of bedside staplers in bariatric robotic procedures

BackgroundFew studies have evaluated the use of laparoscopic staplers in robotic procedures (bedside stapling, BS). This study aims to evaluate the effectiveness of BS compared with robotic staplers (RS) in bariatric robotic procedures.MethodsPatients who underwent robotic sleeve gastrectomy or gastric bypass elective procedures between 1/1/2021 and 12/31/2021 were extracted from PINC AI™ Healthcare Data. The following clinical outcomes were compared: blood transfusion, bleeding, anastomotic leak, intensive care unit (ICU) visit, and 30-day readmission, operating room (OR) time, inpatient costs, and length of stay. We evaluated baseline balance in BS and RS and bivariate association between covariates and outcomes using Chi-square or Fisher exact test and t-test or ANOVA. Multivariable general linear mixed models (GLMMs) with respective gamma or binomial distribution and log-link function were used to obtain adjusted outcomes variations between BS and RS.ResultsTotal of 7268 discharges were included with 1603 (22.1%) BS and 5665 (77.9%) RS cases. RS cases consisted of a higher number of patients who were Hispanic (17.0% vs. 9.4%), had Medicaid (26.9% vs. 19.4%) and underwent sleeve gastrectomy (68.4% vs. 53.5%). Higher proportions of RS cases were done by providers in Northeast region (35.5% vs. 24.3%), smaller size (< 500 beds; 71.1% vs. 52.3%), and teaching hospitals (59.4% vs. 39%). The adjusted outcomes variations demonstrated that patients that had RS were significantly more likely to have blood transfusions, ICU stays, increased ORT (19 min) and costs ($1273). Sensitivity analysis showed similar results, except no significant differences in blood transfusion rates in both groups.ConclusionsBedside staplers significantly reduce healthcare resource utilization with equivalent effectiveness and fewer ICU stays compared to robotic staplers.Graphical abstract

How can the surgeon choose preoperatively the most appropriate antibiotic prophylaxis vs therapy in pediatric acute appendicitis?

The aim of this study was to find statistically valid criteria to preoperatively divide acute appendicitis into simple and complicated to enable surgeons to administer the most appropriate antibiotic prophylaxis/therapy before surgery. We retrospectively reviewed a cohort of patients who underwent appendectomy from January 2022 to December 2023. Patients included were 0-14 years of age. Exclusion criteria included patients who underwent interval appendectomy or concurrent procedures at the same time of appendectomy. We divided patients into two groups: simple (group S) and complicated (group C) appendicitis according to intraoperative finding. Generalized linear model (GLM) with logit function was developed to identify the predictive variables of the type of appendicitis (S vs C) in terms of CRP value, neutrophils percentage and WBC count adjusted for age and sex of patients. Finally, principal component analysis (PCA) was carried out to identify the cutoff value of statistically significant variables found in the previous analysis. One hundred and twenty patients were eligible (N female = 49, N male = 71) for the study. 74 and 46 patients were included in groups S and C, respectively. In a preliminary analysis using univariate and multivariate GLM, only CRP (p value = < 0.001) and neutrophils percentage (p value = 0.02) were predictive variables for the type of appendicitis. The GLM shows a statistical lower value of CRP (adjusted odds ratio [OR] per unit, 0.17 [95% CI, 0.08-0.39]) and neutrophil percentage (adjusted OR per unit, 0.37 [95% CI, 0.16-0.86]) in the S group compared to C adjusted to age and sex. PCA analysis revealed a P-ROC cutoff of 4.2 mg/dl and 80.1 of CRP value (AUC = 84%) and neutrophil percentage (AUC = 70%), respectively. We willperform a prospective study giving preoperative prophylactic cefazolin to patients with a CRP value under 4.2 mg/dl and amoxicillin-clavulanate therapy to patient with CRP value over 4.2 mg/dl.

(026) LOWER SEXUAL FUNCTIONING AND, IN PARTICULAR, SEXUAL PAIN IS ASSOCIATED WITH MORE FREQUENT USE OF ALCOHOL AND RECREATIONAL SUBSTANCES WITH SEXUAL ACTIVITY IN YOUNG WOMEN

Abstract Introduction Research on the relationship between alcohol use and women’s sexual functioning has varied, with some studies showing that alcohol use increases self-reported sexual arousal and others showing alcohol-induced decreases in genital arousal (George, 2019). As such, expectancies tend to be self-fulfilling for subjective effects of alcohol, regardless of the physiological effects (Lee et al., 2014). Most research on sexual functioning and alcohol use has failed to look at the intentional use of alcohol to enhance sexual activity, despite the common use of recreation substances with sexual activity (sex-linked substance use, SLSU) in college age populations (Willis et al., 2021; Herbenick et al., 2018). One study found that while drinking was related to fewer problems with sexual function, SLSU was associated with lower sexual functioning for arousal, lubrication, orgasm, and satisfaction but not sexual pain (Witting et al., 2008). It has been proposed that women may engage in SLSU for different reasons such as to overcome inhibitions or to increase pleasure; however, it is unclear how these intentions are related to sexual dysfunction and relationship status. Objective To investigate how patterns of SLSU for different purposes are related to different dimensions of women’s sexual function. Methods We surveyed 701 women (mean age 20.42, SD = 2.55) in the Midwestern US. Participants reported their frequency of SLSU within the last month to “feel less sexually inhibited”, “increase your sexual desire or arousal” and “increase your sexual pleasure, or to make it easier to have an orgasm”. SLSU was measured as a total factor across the three intentions and as individual subfactors. Participants also completed the Female Sexual Function Index (FSFI; Rosen et al., 2000) and demographic measures including relationship status. Using independent multivariate general linear models, we examined how subfactors of the FSFI, particularly pain, were related to frequency of SLSU. Results Our results indicate that among young adult women, higher use of SLSU broadly was associated with FSD as measured by the FSFI. Specifically, lower sexual functioning was associated with more frequent SLSU to feel less sexually inhibited and to increase sexual desire/arousal, but not SLSU to increase sexual pleasure/have an orgasm. Additionally, when considering relationship status, there was an interaction between SLSU and FSD such that women in a relationship without FSD reported the lowest SLSU compared to women in a relationship with FSD and compared to single women without FSD. Single women who did not meet criteria for FSD reported the highest levels of SLSU. When investigating subfactors of the FSFI and SLSU intentions, contrary to prior findings, women with more sexual pain reported more frequent SLSU to feel less sexually inhibited and to increase sexual pleasure/have an orgasm, but not to increase sexual desire/arousal. Conclusions Our results indicate that sexual functioning and in particular, sexual pain functioning, are related to frequency of SLSU. Further, our results suggest that both sexual function and relationship status interact in relation to SLSU. Clinically, these findings reinforce the value of discussing sexual pain and dysfunction alongside substance use intentions, particularly among young college aged women. Disclosure No.

Factors affecting quality of life in hepatitis B patients in Herat, Afghanistan: A case-control study.

Hepatitis B virus is a global health concern with a high death rate in Afghanistan. Limited data exist on the disease's impact on quality of life in low-resource settings. This case-control study aims to identify potential risk factors and assess the quality of life among hepatitis B patients in Herat, Afghanistan, with a focus on sex differences. Understanding these factors can inform prevention, care, and sex-specific interventions. A cross-sectional study conducted at Herat Regional Hospital examined hepatitis B patients above 18 years old, between October 2020 and February 2021. The control group consisted of age and sex-matched individuals without a history of hepatitis B. Data were collected through a structured questionnaire covering socio-demographic characteristics, signs and symptoms of hepatitis B, and the SF-36 questionnaire for measuring the quality of life of study participants. Statistical analysis was performed using multivariate General Linear Models, and logistic regression. We identified several potential risk factors for hepatitis B infection, including male sex, younger age groups, tobacco use, lower education levels, rural residence, family history, weak social networks, specific family structures and underlying chronic diseases (p < .05). The study found that hepatitis B cases had significantly lower mean scores across all SF-36 components, indicating an overall reduced quality of life (p < .05). These differences were more pronounced in males, although females had lower scores in most components. Role limitations due to physical and emotional health were particularly affected. These findings highlight the urgent need for targeted interventions, sex-specific strategies, improved healthcare access and comprehensive policies. These findings can inform prevention efforts to improve the overall quality of life of people with hepatitis B in Afghanistan.

Longitudinal albuminuria patterns predict coronary artery calcification progression: Findings from the Coronary Artery Risk Development in Young Adults study

Background and aimsAlbuminuria is an established risk factor for adverse cardiovascular outcomes. However, few studies have characterized longitudinal albuminuria patterns based on long-term measurement of urine albumin-to-creatinine ratio (UACR) levels. We aimed to evaluate the association between longitudinal albuminuria patterns in midlife adults and subsequent CAC progression. MethodsWe included 1919 participants with CAC assessment by computed tomography from CARDIA (Coronary Artery Risk Development in Young Adults) study. CAC progression was determined for each individual as the difference of logarithmic CAC scores at follow-up and baseline. Albuminuria patterns across a 10-year span were estimated by longitudinal UACR levels. Multivariable general linear models were used to evaluate the association of long-term albuminuria patterns with CAC progression. ResultsOf the 1919 included participants, 583 (30.4 %) participants experienced CAC progression, and the mean (SD) age was 50.4 (3.5) years at year 25. A total of four dynamic albuminuria patterns were identified. After multivariable adjustment, there were significant differences in CAC progression by albuminuria patterns as demonstrated as percent change in CAC with 36.0 % (SE, 1.5) progression for mid- and late-life normoalbuminuria group, 46.0 % (SE, 7.6) for midlife normoalbuminuria and late-life high albuminuria group, 52.4 % (SE, 7.1) for midlife high albuminuria and late-life normoalbuminuria group, and 54.5 % (SE, 8.7) for mid- and late-life high albuminuria group (p = 0.019). Similar findings were also observed in CAC volume score changes. ConclusionsLongitudinal albuminuria patterns across a 10-year span were associated with worse CAC progression independent of baseline CAC level and albuminuria changes, suggesting that it may provide early identification of high-risk individuals with dynamic rises in albuminuria who may benefit from aggressive risk factor modification.

The Influence of Learning Models and Student Learning Activities on Collaboration Skills and Student Learning Outcomes

This research was conducted to determine whether or not there are differences in the value of collaboration skills and student learning outcomes taught using various learning models and student learning activities with the help of Macromedia Flash media on chemical bonding material, as well as to see the interaction between learning models and student learning activities on collaboration skills and student learning outcomes. Experimental class I (X-6) applied the Discovery Learning model and experimental class II (X-10) applied the Guided Inquiry model. The instrument used is a test instrument, a non-test instrument. Hypothesis testing was carried out using two-way ANOVA with multivariate General Linear Model (GLM). The research results obtained a price of sig. 0.000 for collaboration skill value and sig price. 0.001 for learning outcomes. Price sig. &lt; 𝛼 (0.05) so there is a significant difference in the average value of collaboration skills and student learning outcomes with various learning models. Obtained sig value. 0.000 on collaboration skills and learning outcomes. Sig price value. &lt; 𝛼 (0.05) so there is a significant difference in the average value of collaboration skills and student learning outcomes with various learning activities. The interaction between the learning model and learning activities obtained a sig value. 0.045 for collaboration skills and sig. 0.014 for learning outcomes. From the two sig values. &lt; 𝛼 (0.05) so that Ha is accepted and Ho is rejected, there is an interaction between the learning model and student learning activities on the value of collaboration skills and student learning outcomes in the Chemical Bond material.

Association of objective sleep duration with cognition and brain aging biomarkers in older adults.

The neuropathological mechanisms underlying the association between sleep duration and mild cognitive impairment remain poorly understood. This population-based study included 2032 dementia-free people (age ≥ 60 years; 55.1% women) derived from participants in the Multimodal Interventions to Delay Dementia and Disability in Rural China; of these, data were available in 841 participants for Alzheimer's plasma biomarkers (e.g. amyloid-β, total tau and neurofilament light chain), 1044 for serum microvascular biomarkers (e.g. soluble adhesion molecules) and 834 for brain MRI biomarkers (e.g. whiter matter, grey matter, hippocampus, lacunes, enlarged perivascular spaces and white matter hyperintensity WMH). We used electrocardiogram-based cardiopulmonary coupling analysis to measure sleep duration, a neuropsychological test battery to assess cognitive function and the Petersen's criteria to define mild cognitive impairment. Data were analysed with multivariable logistic and general linear models. In the total sample (n = 2032), 510 participants were defined with mild cognitive impairment, including 438 with amnestic mild cognitive impairment and 72 with non-amnestic mild cognitive impairment. Long sleep duration (>8 versus 6-8 h) was significantly associated with increased likelihoods of mild cognitive impairment and non-amnestic mild cognitive impairment and lower scores in global cognition, verbal fluency, attention and executive function (Bonferroni-corrected P < 0.05). In the subsamples, long sleep duration was associated with higher plasma amyloid-β40 and total tau, a lower amyloid-β42/amyloid-β40 ratio and smaller grey matter volume (Bonferroni-corrected P < 0.05). Sleep duration was not significantly associated with serum-soluble adhesion molecules, white matter hyperintensity volume, global enlarged perivascular spaces and lacunes (P > 0.05). Alzheimer's and neurodegenerative pathologies may represent common pathways linking long sleep duration with mild cognitive impairment and low cognition in older adults.

Longitudinal Analysis of Corneal Biomechanics of Suspect Keratoconus: A Prospective Case-Control Study.

To evaluate the corneal biomechanics of stable keratoconus suspects (Stable-KCS) at 1-year follow-up and compare them with those of subclinical keratoconus (SKC). This prospective case-control study included the eyes of 144 patients. Biomechanical and tomographic parameters were recorded (Corvis ST and Pentacam). Patients without clinical signs of keratoconus in both eyes but suspicious tomography findings were included in the Stable-KCS group (n = 72). Longitudinal follow-up was used to evaluate Stable-KCS changes. Unilateral keratoconus contralateral eyes with suspicious tomography were included in the SKC group (n = 72). T-tests and non-parametric tests were used for comparison. Multivariate general linear models were used to adjust for confounding factors for further analysis. Receiver operating characteristic (ROC) curves were used to analyze the distinguishability. The biomechanical and tomographic parameters of Stable-KCS showed no progression during the follow-up time (13.19 ± 2.41 months, p > 0.05). Fifteen biomechanical parameters and the Stress-Strain Index (SSI) differed between the two groups (p < 0.016). The A1 dArc length showed the strongest distinguishing ability (area under the ROC = 0.888) between Stable-KCS and SKC, with 90.28% sensitivity and 77.78% specificity at the cut-off value of -0.0175. The A1 dArc length could distinguish between Stable-KCS and SKC, indicating the need to focus on changes in the A1 dArc length for keratoconus suspects during the follow-up period. Although both have abnormalities on tomography, the corneal biomechanics and SSI of Stable-KCS were stronger than those of SKC, which may explain the lack of progression of Stable-KCS.

A reduced exposure heated tobacco product was introduced then abruptly taken off United States shelves: results from a tobacco harm reduction natural experiment

BackgroundA heated tobacco product (HTP) authorized for purchase in the United States by the Food and Drug Administration as a reduced harm product was removed from the market after about 2 years of sales. Adults who used the HTP were surveyed to determine the impact of the introduction and removal of the HTP on past and current tobacco behaviors.MethodsAdults who were using the HTP before its United States market removal (n = 502) completed a cross-sectional online survey to determine their tobacco use behaviors at three timepoints: prior to HTP initiation, just before HTP market removal, and at the time of the survey which was administered approximately 10 months post-removal. Descriptive statistics summarized outcome variables and paired bivariate testing was used to compare percent change between timepoints. Multivariable logistic regression and general linear models estimated associations of tobacco use behaviors and cigarette consumption.ResultsOverall, significantly fewer adults consumed cigarettes while using HTP than before they tried the product (63.0% vs. 89.9%, p value < 0.0001) and the number of cigarettes consumed per week (CPW) decreased (106.3–39.0, p value < 0.0001). After HTP removal, the percent of adults who consumed cigarettes increased non-significantly (63.0–67.5%, p value = 0.0544) while CPW increased significantly (39.0–76.6 CPW, p value < 0.0001). At the time of the survey, over 25% of the sample continued to use the HTP and 7.2% reported use of no tobacco products. Electronic nicotine delivery system use had increased significantly from the prior period (27.4% increase, p value < 0.0001).ConclusionThis study demonstrates reduction or elimination of combustible cigarette smoking while adults were using HTPs and some increased smoking after market removal, albeit at lower levels. If unable to find satisfying alternatives, adults who smoke and transition to reduced harm products may return to smoking or purchase products illicitly if their preferred products are removed from the regulated market.

Exploring Sex Differences in Risk Factors and Quality of Life Among Tuberculosis Patients in Herat, Afghanistan: A Case-Control Study.

Objectives: Tuberculosis (TB) is a significant public health concern in Afghanistan, with a high burden of disease in the western province of Herat. This study explored the risk factors of TB and TB's impact on the quality of life of patients in Herat. Methods: A total of 422TB patients and 514 controls were recruited at Herat Regional Hospital and relevant TB laboratories between October 2020 and February 2021. Data was collected through interviews using a structured questionnaire and the SF-36 questionnaire. Descriptive statistics, chi-square tests, Multivariate General Linear Model, and logistic regression analysis were used to analyze the data. Results: The results showed that male sex (p = 0.023), chronic disease (p = 0.038), lower education levels (p < 0.001), and worse health status (p < 0.001) were significantly associated with higher odds of TB infection. The study also found that TB patients had significantly lower quality of life scores in almost all components (p < 0.05). Conclusion: This study provides important insights into the specific ways in which TB affects the wellbeing of patients in Afghanistan. The findings highlight the importance of addressing the psychological and social dimensions of TB.

A Novel Numerical Method for Solving Unknown Statistical Quantities in Multivariate Regression Models

Simulation studies are the basic tools of quantitative methodologists used to obtain empirical solutions to statistical problems that may be impossible to derive through direct mathematical computations. The successful execution of many simulation studies relies on the accurate generation of correlated multivariate data that adhere to a particular model with known parameter values. In this article, we use a kernel inspired by path tracing rules to algebraically solve unknown causal effects in the context of a multivariate general linear model. The algebraic solution is the basis of the mathematical extension, which integrates a model solver. Examples are used to illustrate a range of applications, where information regarding parameter values and predictor correlations can be partially specified. Code for examples is provided.

Comparison of Predictive Performance of Data Mining Algorithms in Predicting Tomato Yield with the A Case Study in Igdir

Among the vegetable species in the world, the plant with the most cultivation area is tomato. Increasing tomato yield is important in terms of contributing more to the world economy, producer’s income and human health. With the advancement in software technologies, the importance of data mining algorithms is increasing due to the fact that these algorithms can produce more sophisticated solutions for regression and classification problems. Determining the factors affecting tomato yield and comparing different data mining algorithms on prediction of tomato yield are the purpose of this study. For this purpose, survey study was conducted with the 105 farmers, selected by Simple Random Sampling Method in Igdir province in 2016. Different data mining algorithms including Classification and Regression Tree, Exhaustive CHAID, Chi-Square Automatic Interaction Detector, Artificial Neural Network Algorithm, Multivariate Adaptive Regression Splines and General Linear Model were developed and compared their predictive performance. MARS decision tree has been able to build a model with greatest predictive accuracy, and the others are respectively ANN, GLM, CART, CHAID and Exhaustive CHAID. In the MARS model, number of irrigation , amount of chemical fertilizer , age of farmer , number of seedlings , education level , soil analysis status , sowing region were found statistically significant (P˂0.05). Preferring the MARS model could give an opportunity to detect factors affecting tomato yield and their interactions with higher accuracy. Moreover, results can be easily interpreted and the rules are understandable.

Localizing apraxia in corticobasal syndrome: a morphometric MRI study.

Apraxia localization has relied on voxel-based, lesion-symptom mapping studies in left hemisphere stroke patients. Studies on the neural substrates of different manifestations of apraxia in neurodegenerative disorders are scarce. The primary aim of this study was to look into the neural substrates of different manifestations of apraxia in a cohort of corticobasal syndrome patients (CBS) by use of cortical thickness. Twenty-six CBS patients were included in this cross-sectional study. The Goldenberg apraxia test (GAT) was applied. 3D-T1-weighted images were analyzed via the automated recon-all Freesurfer version 6.0 pipeline. Vertex-based multivariate General Linear Model analysis was applied to correlate GAT scores with cortical thickness. Deficits in imitation of meaningless gestures correlated with bilateral superior parietal atrophy, extending to the angular and supramarginal gyri, particularly on the left. Finger imitation relied predominantly on superior parietal lobes, whereas the left angular and supramarginal gyri, in addition to superior parietal lobes, were critical for hand imitation. The widespread bilateral clusters of atrophy in CBS related to apraxia indicate different pathophysiological mechanisms mediating praxis in neurodegenerative disorders compared to vascular lesions, with implications both for our understanding of praxis and for the rehabilitation approaches of patients with apraxia.

The relationship among disordered eating behavior, power of food scale and sensitization of the reinforcing value of food

IntroductionDisordered eating behaviors are a current public health concern since their progression can lead to the development of a full criteria eating disorder. Sensitization to repeated intake of high energy density (HED) foods is associated with excess weight gain over time, but less is known about relationships with assessments of disordered eating. Thus, this study aims to understand how disordered eating behaviors refunlate to the influence of the food environment and sensitization. Method163 adolescents – 50 % female and 13.2 mean age – were followed for 24 months. Sensitization was assessed by comparing the relative reinforcing value (RRV) of HED food at baseline and after two weeks of daily intake; sensitization was defined as RRV of food after repeated intake. Study participants also completed the EDE-Q, and Power of Food Scale (PFS). We conducted multivariate general linear models to examine these associations. ResultsSensitization status and PFS scores at baseline were positively associated with EDE-Q subscale scores cross-sectionally, but not longitudinally, at baseline and 24 months. We found that sensitization to HED food and higher susceptibility to food cues relates to increased disordered eating behaviors and both at baseline and at 24-months. DiscussionThese findings suggest that sensitization to repeated HED food intake and the food environment might be a risk factor for later engagement in disordered eating behaviors. Future studies should address the temporal relationships among these factors and the role that social norms around body weight and weight stigma may play in the development of these behaviors.

Personality traits as predictors of depression across the lifespan

BackgroundDepression is a major public health concern. A barrier for research has been the heterogeneous nature of depression, complicated by the categorical diagnosis of depression which is based on a cluster of symptoms, each with its own etiology. To address the multifactorial etiology of depression and its high comorbidity with anxiety, we aimed to examine the relations between personality traits, diverse behavioral, cognitive and physical measures, and depression and anxiety over the lifespan. MethodOur sample was drawn from the NKI-RS, a community-based lifespan sample (N = 1494 participants aged 6 to 85). Analyses included multivariate approach and general linear models for group comparisons and dimensional analyses, respectively. A machine learning model was trained to predict depression using many factors including personality traits. ResultsDepression and anxiety were both characterized by increased neuroticism and introversion, but did not differ between themselves. Comorbidity had an additive effect on personality vulnerability. Dimensionally, depression was only associated with personality in adolescence, where it was positively correlated with neuroticism, and negatively correlated with extraversion, agreeableness, and conscientiousness. The relationship between anxiety and personality changed over time, with neuroticism and conscientiousness being the most salient traits. Our machine learning model predicted depression with 70 % accuracy with neuroticism and extraversion contributing most. LimitationsDue to the cross-sectional design, conclusions cannot be drawn about causal relationships between personality and depression. ConclusionThese results underscore the impact of personality on depressive disorders and provide novel insights on how personality contributes to depression across the lifespan.

Determinants of self-perceived quality of life in mildly disabled multiple sclerosis patients: a cross-sectional study.

While the determinants influencing self-perceived health-related quality of life (spHRQoL) in persons with multiple sclerosis (pwMS) and severe physical impairment have been well investigated, their impact on pwMS with mild disability is poorly addressed. We aimed to investigate possible drivers of spHRQoL among Sardinian pwMS with an EDSS lower than 2.5. A sample of 87 fully ambulatory (EDSS < 2.5) pwMS were included after screening for major cognitive impairment. spHRQoL was measured with the Italian version of 36-Item Short Form Health Survey (SF-36). The Physical Component Summary (PCS) and Mental Component Summary (MCS) were used as dependent variables for univariate analysis with Cognitive Behavioral Assessment (CBA) and specific individual factors as independent variables. Subsequent multivariate general linear models (GLMs) for PCS and MCS respectively were run after stepwise regression. Normative data referring to Italian population were used for comparison. As compared to normative data, no statistically significant difference was found for PCS, while MCS was reduced. Multivariate GLMs showed a significant association between lower PCS scores and presence of psychosomatic symptoms, older age and fatigue (p < 0.05). Furthermore, a significant association was shown between lower MCS scores and presence of anxiety (p < 0.001). Mood, presence of psychosomatic symptoms, fatigue and age can have a relevant impact on spHRQoL in people with mildly disabling MS and should be considered in the management of such individuals.

Impact of metabolic syndrome on bone mineral density in men over 50 and postmenopausal women according to U.S. survey results

Metabolic Syndrome (MetS) and bone mineral density (BMD) have shown a controversial link in some studies. This research aims to study their association in males over 50 and postmenopausal females using National Health and Nutrition Examination Survey (NHANES) data. Postmenopausal females and males over 50 were included in the study. MetS was defined by the National Cholesterol Education Program Adult Treatment Panel III guidelines. BMD values were measured at the thoracic spine, lumbar spine, and pelvis as the primary outcome. Weighted multivariate general linear models have been employed to explore the status of BMD in patients with MetS. Additionally, interaction tests and subgroup analyses were conducted. Utilizing the NHANES database from 2003 to 2006 and 2011–2018, we included 1924 participants, with 1029 males and 895 females. In postmenopausal women, after adjusting for covariates, we found a positive correlation between MetS and pelvic (β: 0.030 [95%CI 0.003, 0.06]) and thoracic (β: 0.030 [95%CI 0.01, 0.06]) BMD, though not for lumbar spine BMD (β: 0.020 [95%CI − 0.01, 0.05]). In males over 50 years old, MetS was positively correlated with BMD in both Model 1 (without adjusting for covariates) and Model 2 (considering age and ethnicity). Specifically, Model 2 revealed a positive correlation between MetS and BMD at the pelvis (β: 0.046 [95%CI 0.02, 0.07]), thoracic spine (β: 0.047 [95%CI 0.02, 0.07]), and lumbar spine (β: 0.040 [95%CI 0.02, 0.06]). Subgroup analysis demonstrated that the relationship between MetS and BMD remained consistent in all strata, underscoring the stability of the findings. In postmenopausal women, after adjusting for all covariates, a significant positive correlation was observed between MetS and BMD in the pelvis and thoracic spine, whereas this correlation was not significant for lumbar spine BMD. Conversely, in males, positive correlations between MetS and BMD at the lumbar spine, thoracic spine, and pelvis were identified in Model 2, which adjusted for age and ethnicity; however, these correlations disappeared after fully adjusting for all covariates. These findings highlight the potential moderating role of gender in the impact of MetS on BMD.