Daily steps and all-cause mortality: An umbrella review and meta-analysis.

OBJECTIVE: This study aimed to describe the variability in estimates of the association of daily steps and all-cause mortality in systematic reviews with meta-analyses, to identify the factors potentially responsible for it, and to provide an updated estimate. METHODS: Five databases were systematically searched up to May 2024 to identify systematic reviews with meta-analyses and prospective cohort studies. A qualitative synthesis of previous reviews and an updated meta-analysis of cohort studies were performed. Pooled hazard ratios (HRs) with their 95% confidence intervals (CIs) were calculated using a random-effects model. RESULTS: Eleven systematic reviews with meta-analyses and 14 cohort studies were included, revealing considerable variability in result presentation. Our updated meta-analysis showed a nonlinear association, indicating a lower risk of all-cause mortality with increased daily steps, with a protective threshold at 3143 steps/day, and a pooled HR of 0.91 (95% CI: 0.87, 0.95) per 1000 steps/day increment. Physical activity categories consistently indicated progressively reduced mortality risk, with the highly active category (>12,500 steps/day) exhibiting the lowest risk (0.35 (95% CI: 0.29, 0.42)). CONCLUSION: Systematic reviews and meta-analyses showed considerable variability in effect estimates due to different methods of quantifying exposure. Despite it, our study underscores the importance of increased daily steps in reducing all-cause mortality, with a minimum protective dose of 3000 steps/day, although the optimal dose differed according to age and sex. It is recommended that future studies categorise daily steps by physical activity category, perform dose-response analyses, and use increments of 1000 steps/day.

Robust and consistent biomarker candidates identification by a machine learning approach applied to pancreatic ductal adenocarcinoma metastasis.

BACKGROUND: Machine Learning (ML) plays a crucial role in biomedical research. Nevertheless, it still has limitations in data integration and irreproducibility. To address these challenges, robust methods are needed. Pancreatic ductal adenocarcinoma (PDAC), a highly aggressive cancer with low early detection rates and survival rates, is used as a case study. PDAC lacks reliable diagnostic biomarkers, especially metastatic biomarkers, which remains an unmet need. In this study, we propose an ML-based approach for discovering disease biomarkers, apply it to the identification of a PDAC metastatic composite biomarker candidate, and demonstrate the advantages of harnessing data resources. METHODS: We utilised primary tumour RNAseq data from five public repositories, pooling samples to maximise statistical power and integrating data by correcting for technical variance. Data were split into train and validation sets. The train dataset underwent variable selection via a 10-fold cross-validation process that combined three algorithms in 100 models per fold. Genes found in at least 80% of models and five folds were considered robust to build a consensus multivariate model. A random forest model was constructed using selected genes from the train dataset and tested in the validation set. We also assessed the goodness of prediction by recalibrating a model using only the validation data. The biological context and relevance of signals was explored through enrichment and pathway analyses using QIAGEN Ingenuity Pathway Analysis and GeneMANIA. RESULTS: We developed a pipeline that can detect robust signatures to build composite biomarkers. We tested the pipeline in PDAC, exploiting transcriptomics data from different sources, proposing a composite biomarker candidate comprised of fifteen genes consistently selected that showed very promising predictive capability. Biological contextualisation revealed links with cancer progression and metastasis, underscoring their potential relevance. All code is available in GitHub. CONCLUSION: This study establishes a robust framework for identifying composite biomarkers across various disease contexts. We demonstrate its potential by proposing a plausible composite biomarker candidate for PDAC metastasis. By reusing data from public repositories, we highlight the sustainability of our research and the wider applications of our pipeline. The preliminary findings shed light on a promising validation and application path.

Higher adherence to the Mediterranean Diet is associated with better academic achievement in Spanish university students: A multicenter cross-sectional study.

The objective was to assess the association of the overall score and different items of the Mediterranean Diet Adherence Screener (MEDAS) questionnaire with academic achievement in Spanish university students. We hypothesized that university students with greater adherence to the Mediterranean Diet (MedDiet) would have better academic achievement. A cross-sectional study was performed involving 266 first-year students from the University of Castilla-La Mancha, Spain, during the 2017-2018 academic year. Adherence to the Mediterranean diet was evaluated with the 14-item MEDAS questionnaire. As an indicator variable for academic achievement, the average marks of the examinations required for access to Spanish universities were used. A total of 63 participants (23.6%) adhered to MedDiet recommendations. Analysis of covariance models showed that participants with higher adherence to the MedDiet had significantly higher scores on academic achievement than their peers with low adherence (P < .001) after controlling for potential confounders. Additionally, the evaluation of each item of the MEDAS questionnaire showed that a diet rich in olive oil, vegetables, fruits, legumes, fish and shellfish, and a low consumption of sweets and carbonated beverages were positively associated with academic achievement; nevertheless, wine intake was inversely associated. This study showed that Spanish university students had a low prevalence of good adherence to the MedDiet. Additionally, our results suggested that higher adherence to the MedDiet is associated with better academic achievement in Spanish university students. From a public health perspective and because of low adherence, it is important to continue to focus on promoting adherence to the MedDiet as part of a healthy lifestyle pattern to improve the academic performance of young university students.

Diagnostic utility of clinicodemographic, biochemical and metabolite variables to identify viable pregnancies in a symptomatic cohort during early gestation.

A significant number of pregnancies are lost in the first trimester and 1-2% are ectopic pregnancies (EPs). Early pregnancy loss in general can cause significant morbidity with bleeding or infection, while EPs are the leading cause of maternal mortality in the first trimester. Symptoms of pregnancy loss and EP are very similar (including pain and bleeding); however, these symptoms are also common in live normally sited pregnancies (LNSP). To date, no biomarkers have been identified to differentiate LNSP from pregnancies that will not progress beyond early gestation (non-viable or EPs), defined together as combined adverse outcomes (CAO). In this study, we present a novel machine learning pipeline to create prediction models that identify a composite biomarker to differentiate LNSP from CAO in symptomatic women. This prospective cohort study included 370 participants. A single blood sample was prospectively collected from participants on first emergency presentation prior to final clinical diagnosis of pregnancy outcome: LNSP, miscarriage, pregnancy of unknown location (PUL) or tubal EP (tEP). Miscarriage, PUL and tEP were grouped together into a CAO group. Human chorionic gonadotrophin ß (ß-hCG) and progesterone concentrations were measured in plasma. Serum samples were subjected to untargeted metabolomic profiling. The cohort was randomly split into train and validation data sets, with the train data set subjected to variable selection. Nine metabolite signals were identified as key discriminators of LNSP versus CAO. Random forest models were constructed using stable metabolite signals alone, or in combination with plasma hormone concentrations and demographic data. When comparing LNSP with CAO, a model with stable metabolite signals only demonstrated a modest predictive accuracy (0.68), which was comparable to a model of ß-hCG and progesterone (0.71). The best model for LNSP prediction comprised stable metabolite signals and hormone concentrations (accuracy = 0.79). In conclusion, serum metabolite levels and biochemical markers from a single blood sample possess modest predictive utility in differentiating LNSP from CAO pregnancies upon first presentation, which is improved by variable selection and combination using machine learning. A diagnostic test to confirm LNSP and thus exclude pregnancies affecting maternal morbidity and potentially life-threatening outcomes would be invaluable in emergency situations.

The acute effect of exercise on the endothelial glycocalyx in healthy adults: A systematic review and meta-analysis.

BACKGROUND: In recent years, it has been demonstrated that when the endothelial glycocalyx, composed of proteoglycans, glycosaminoglycans and glycoproteins, is altered or modified, this property is lost, playing a fundamental role in cardiovascular pathologies. Cardiovascular risk factors can destroy the endothelial glycocalyx layer. Exercise has a positive effect on cardiovascular risk factors, but little is known about its direct effect on the integrity of the endothelial layer. METHODS: The Cochrane Library, PubMed, Web of Science and Scopus databases were searched from their inception to June 30, 2022. The DerSimonian and Laird method was used to compute pooled effect size estimates and their respective 95% confidence intervals for the acute effect of exercise (within 24 h) on the endothelial glycocalyx and its components in healthy adults. RESULTS: Ten studies were included in the meta-analysis, with a total of 252 healthy subjects. The types of exercise included were resistance training, interval training, resistance training and maximal incremental exercise, with a duration range of 30-60 min. Glycocalyx assessment times included ranged from 0 to 90 min post-exercise. Our findings showed that endothelial glycocalyx increases after acute effect of exercise in healthy population (.56, 95% CI: .38, .74). The acute effect of exercise on endothelial glycocalyx components were .47 (95% CIs: .27, .67) for glycosaminoglycans, .67 (95% CIs: .08, 1.26) for proteoglycans and .61 (95% CIs: .35, .86) for glycoproteins. CONCLUSIONS: In a healthy population, various types of exercise showed an acute improvement of the endothelial glycocalyx and its individual components.

Prevalence and genotypic associations of epilepsy in Prader-Willi Syndrome: A systematic review and meta-analysis.

OBJECTIVE: To estimate the prevalence of epilepsy and febrile seizures and their association with genotype, i.e., 15q11-q13 deletions, uniparental chromosome 15 disomy (UPD) and other mutations, in the population with Prader-Willi syndrome (PWS). METHODS: A systematic search of Medline, Scopus, Web of Science and the Cochrane Library was conducted. Studies estimating the prevalence of seizures, epilepsy and febrile seizures in the PWS population were included. Meta-analyses of the prevalence of epilepsy and febrile seizures and their association with genotype using the prevalence ratio (PR) were performed. RESULTS: Fifteen studies were included. The prevalence of epilepsy was 0.11 (0.07, 0.15), similar to the prevalence of febrile seizures, with a prevalence of 0.09 (0.05, 0.13). The comparison "deletion vs. UPD" had a PR of 2.03 (0.90, 4.57) and 3.76 (1.54, 9.18) for epilepsy and febrile seizures. CONCLUSIONS: The prevalence of seizure disorders in PWS is higher than in the general population. In addition, deletions in 15q11-q13 may be associated with a higher risk of seizure disorders. Therefore, active screening for seizure disorders in PWS should improve the lives of these people. In addition, genotype could be used to stratify risk, even for epilepsy, although more studies or larger sample sizes are needed.

Urinary incontinence increases risk of postpartum depression: systematic review and meta-analysis.

OBJECTIVE: Postpartum depression is one of the most common complications after childbearing. Urinary incontinence is a frequent symptom during pregnancy and the postnatal period, often being the first time that women experience it. This systematic review and meta-analysis aimed to synthesize the evidence on the association between urinary incontinence and postpartum depression and to assess whether this association becomes weaker at 6 months after childbirth. DATA SOURCES: MEDLINE, Embase, Cochrane Library, Web of Science, and PsycINFO were searched from inception to December 26, 2023. STUDY ELIGIBILITY CRITERIA: Cross-sectional and cohort studies addressing the association between urinary incontinence and postpartum depression were included. METHODS: Pooled odds ratios and their 95% confidence intervals, and 95% prediction intervals were estimated using a DerSimonian and Laird random-effects model for the association between urinary incontinence and postpartum depression. Subgroup analyses were conducted on the basis of time after delivery (<6 or ≥6 months). The risk of bias was assessed with the National Institutes of Health Quality Assessment Tool for Observational Cohort Studies. RESULTS: Eleven published studies were included in the systematic review and meta-analysis. Overall, the odds ratio for the association between urinary incontinence and postpartum depression was 1.45 (95% confidence interval, 1.11-1.79; 95% prediction interval, 0.49-2.40; I2=65.9%; P=.001). For the 7 cohort studies, the odds ratio was 1.63 (95% confidence interval, 1.35-1.91; 95% prediction interval, 1.14-2.13; I2=11.1%; P=.345). For the 4 cross-sectional studies, the odds ratio was 1.05 (95% confidence interval, 1.04-1.05; 95% prediction interval, 1.04-1.06; I2=0.0%; P=.413). According to the time after delivery, the odds ratio estimates for cohort studies with a postpartum period <6 months were 1.44 (95% confidence interval, 1.07-1.81; prediction interval, 0.63-2.25; I2=0.0%; P=.603) and 1.53 (95% confidence interval, 1.16-1.89; prediction interval, 0.41-2.65; I2=50.7%; P=.087) for those with a postpartum period ≥6 months. CONCLUSION: This systematic review and meta-analysis suggests that urinary incontinence may be a potential predictor of postpartum depression. Thus, it is important that health care professionals offer support and treatment options to women who experience these conditions.

Time-Restricted Eating and Bone Health: A Systematic Review with Meta-Analysis.

Time-restricted eating (TRE) has emerged as a dietary strategy that restricts food consumption to a specific time window and is commonly applied to facilitate weight loss. The benefits of TRE on adipose tissue have been evidenced in human trials and animal models; however, its impact on bone tissue remains unclear. To systematically synthesize and examine the evidence on the impact of TRE on bone health (bone mineral content (BMC), bone mineral density (BMD), and bone turnover factors), PubMed, Scopus, Cochrane CENTRAL, and Web of Science databases were systematically explored from inception to 1 October 2023 searching for randomized controlled trials (RCTs) aimed at determining the effects of TRE on bone health in adults (≥18 years). The Cochrane Handbook and the PRISMA recommendations were followed. A total of seven RCTs involving 313 participants (19 to 68 years) were included, with an average length of 10.5 weeks (range: 4 to 24 weeks). Despite the significant weight loss reported in five out of seven studies when compared to the control, our meta-analysis showed no significant difference in BMD (g/cm2) between groups (MD = -0.009, 95% CI: -0.026 to 0.009, p = 0.328; I2 = 0%). BMC and bone turnover markers between TRE interventions and control conditions were not meta-analyzed because of scarcity of studies (less than five). Despite its short-term benefits on cardiometabolic health, TRE did not show detrimental effects on bone health outcomes compared to those in the control group. Nevertheless, caution should be taken when interpreting our results due to the scarcity of RCTs adequately powered to assess changes in bone outcomes.

Exploring the Influence of Insulin Resistance on Arterial Stiffness in Healthy Adults: From the Metabolic and Cardiovascular Health Insights of the EVasCu Study.

Previous evidence associates insulin resistance with arterial stiffness in various pathologies, yet limited reports exist in healthy adults. Therefore, this study aims to estimate the association between insulin resistance and arterial stiffness in healthy adults. The cross-sectional EVasCu study enrolled 390 participants (42.05 ± 13.15 years). ANCOVAs, unadjusted (model 1) and adjusted (model 2), explored the association between arterial stiffness markers (aortic Pulse Wave Velocity [aPWV], Augmentation Index [AIx@75] and Cardio-Ankle Vascular Index [CAVI]), and insulin resistance markers (Homeostasis Model Assessment of Insulin Resistance [HOMA-IR], Quantitative Insulin Sensitivity Check Index [QUICKI] and Triglycerides-Glucose [TyG]). In model 1, all insulin resistance markers were associated with aPWV, HOMA-IR and QUICKI were associated with AIx@75, and the TyG index was associated with CAVI. In model 2, HOMA-IR and QUICKI increased aPWV by 0.179 and 0.156 m/s (p = 0.001 and p = 0.011), and AIx@75 by 4.17 and 5.39% (p = 0.009 and p = 0.003). The EVasCu study offers valuable insights into the relationship between insulin resistance and arterial stiffness in healthy adults, providing a deeper understanding of metabolic and cardiovascular health. By examining this influence, we embark on an intriguing exploration of how these factors interplay in the human body.

Sex Differences in Effects of Exercise on Physical Function in Aging: A Systematic Review with Meta-Analysis.

PURPOSE: Our objective was to synthesize and determine whether there are sex differences in physical function following exercise interventions in older adults. MATERIALS AND METHODS: A systematic search was conducted in four databases from inception to July 8th, 2023 searching for prospective trials that conducted exercise interventions in older adults and results for physical function were reported by sex. Pooled standardized mean differences (SMDs) with their 95% confidence intervals (CIs) were estimated using a randomeffects method. The Sidik-Jonkman estimator was used to calculate the variance of heterogeneity (I²). RESULTS: A total of 19 studies involving 20,133 older adults (mean age ≥60 years, 33.7% female) were included. After exercise interventions, males reported significantly greater pre-post changes compared to females for upper body strength (SMD=-0.40, 95% CI: -0.71 to -0.09; I²=75.6%; n=8), lower body strength (SMD=-0.32, 95% CI: -0.55 to -0.10; I²=52.0%; n=11), and cardiorespiratory fitness (SMD=-0.29, 95% CI: -0.48 to -0.10; I²=89.1%; n=12). Conversely, the pooled SMDs showed a significant effect favoring females for motor fitness (SMD=0.21, 95% CI: 0.03 to 0.39; I²=0%; n=7). Limited and inconsistent results were observed for flexibility. CONCLUSIONS: Our study suggests the existence of sex-related differences on physical function after an exercise intervention in the older population.

The impact of reduced muscular fitness on cardiometabolic risk factors in children aged 9-11 years.

AIM: To analyse the relationships between muscular fitness (MF), fat mass (FM), fat-free mass (FFM) and its combined ratio with cardiometabolic risk (CMR) and whether the relationship between MF and CMR is mediated by body composition in schoolchildren. METHODS: A cross-sectional study was conducted on schoolchildren from Cuenca, Spain, between September and November 2017. FM and FFM were estimated using bioimpedance analysis. The CMR index was calculated from triglycerides-HDL-c ratio, arterial pressure and fasting insulin. The MF index was assessed using handgrip and standing long jump tests. Analysis of covariance models assessed CMR index differences across the MF index and the FM/FFM ratio categories. Mediation analysis examined whether the MF index and the CMR index association were mediated by FM, FFM or FM/FFM ratio. RESULTS: The analyses involved 485 schoolchildren aged 9-11 years (55.4% girls). Children with a higher MF index had a lower CMR index (p < 0.05). This association did not persist after controlling for FM/FFM. FM, FFM and FM/FFM ratio mediated the relationship between the MF index and the CMR index. CONCLUSION: Better levels of MF are associated with better cardiometabolic profile, but a healthy body composition is determinant to improve future health.

Adherence to the Mediterranean diet and depressive, anxiety, and stress symptoms in Spanish adolescents: results from the EHDLA study.

Depression and anxiety are prevalent and disabling conditions among adolescents. The aim of this study was to examine the relationship between adherence to the Mediterranean diet (MD) and depressive, anxiety, and stress symptoms in adolescents. This cross-sectional study included a sample of 698 adolescent students from a region of Spain (mean age of 13.9 ± 1.5 years; 56.2% girls). Adherence to the MD was evaluated with the Mediterranean Diet Quality Index in children and adolescents (KIDMED). Mental health symptoms were measured with the Depression, Anxiety, and Stress Scale (DASS-21). Logistic regression models were performed, including a wide range of potential confounders. Compared to individuals with low adherence to the MD, those with moderate and high adherence had lower odds of experiencing depressive symptoms (odds ratio [OR] = 0.40, 95% confidence interval [CI] 0.24-0.65 and OR = 0.33, 95% CI 0.20-0.55, respectively), which were statistically significant even after adjustment. No significant associations were found regarding anxiety or stress symptoms. Therefore, according to our results, higher adherence to the MD is inversely related to having depressive symptoms among adolescents, regardless of socioeconomic, anthropometric, and lifestyle factors. Considering the deleterious effects of mental health problems in youths, further research on the role of nonpharmacological strategies for the prevention and treatment of depressive symptoms in adolescence is essential.

Differences in quality of life and fitness level among men and women in the adulthood: a cross-sectional analysis.

BACKGROUND: This study aimed to examine the associations between physical fitness components and health-related quality of life (HRQoL) among adults stratified by sex and age. In addition, we aimed to examine whether these associations change based on socioeconomic, clinical, and biochemical characteristics. METHODS: A total of 297 participants aged 47.41 (standard deviation: 9.08) years from the "Validity of a Model of Accelerated Vascular Aging as a Cardiovascular Risk Index in Healthy Adults: the EVasCu cross-sectional study" were included in this analysis. HRQoL, physical fitness, socioeconomic status (SES), waist circumference, and blood pressure were measured. Additionally, blood samples were extracted to determine cholesterol, triglyceride, and glycated hemoglobin A1c (HbA1c) levels. Analyses of covariance (ANCOVAs) were estimated to test mean differences in physical and mental health-related health measures (HRQoL) between fitness categories (fixed factors) by sex and age categories. RESULTS: The physical HRQoL was related to the levels of fitness parameters among women, independent of age, while for men, it was related to better levels of general fitness and cardiorespiratory fitness among men aged < 50 and men aged ≥ 50, respectively. In contrast, mental HRQoL was related to cardiorespiratory fitness only among women aged < 50 years; speed/agility and flexibility among men aged < 50 years; and general fitness, strength, and flexibility among men aged ≥ 50 years. These data did not change when SES, clinical variables, or biochemical determinations were included in the analyses, neither for the physical nor for the mental HRQoL. CONCLUSION: Gender and age are important factors to be considered when analysing health indicators and influences in the population. In addition, SES, clinical characteristics, and biochemical parameters do not seem to influence the relationship between HRQoL and fitness.

Association of daily steps on lipid and glycaemic profiles in children: The mediator role of cardiorespiratory fitness.

AIM: To analyse, in schoolchildren, the relationship between daily steps with metabolic parameters; and to examine whether this association is mediated by cardiorespiratory-fitness (CRF). METHODS: A cross-sectional analysis of baseline data from a feasibility trial was performed in children from two primary schools in Cuenca, Spain. Daily steps were measured using the Xiaomi MI Band 3. Lipid and glycaemic profiles were analysed from blood samples. CRF was assessed using the 20-m shuttle run test. ANCOVA models were used to test the mean differences by daily steps quartiles. Mediation analyses were conducted to examine whether CRF mediates the association between daily steps and lipid and glycaemic parameters. RESULTS: A total of 159 schoolchildren (aged 9-12 years, 53% female) were included in the analysis. Schoolchildren in the highest daily steps quartiles (>10 000 steps) showed significantly lower triglycerides and insulin levels (p = 0.004 and 0.002, respectively). This association did not remain after controlling for CRF. In mediation analyses, a significant indirect effect was observed through CRF in the relationship between daily steps with triglycerides and insulin. CONCLUSION: Children who daily accumulate more than 10 000 steps have better lipid and metabolic profile, and CRF mediated their relationship in schoolchildren.

Effectiveness of high-intensity interval training on peripheral brain-derived neurotrophic factor in adults: A systematic review and network meta-analysis.

BACKGROUND: High-intensity interval training (HIIT) has emerged as an alternative training method to increase brain-derived neurotrophic factor (BDNF) levels, a crucial molecule involved in plastic brain changes. Its effect compared to moderate-intensity continuous training (MICT) is controversial. We aimed to estimate, and to comparatively evaluate, the acute and chronic effects on peripheral BDNF levels after a HIIT, MICT intervention or a control condition in adults. METHODS: The CINAHL, Cochrane, PubMed, PEDro, Scopus, SPORTDiscus, and Web of Science databases were searched for randomized controlled trials (RCTs) from inception to June 30, 2023. A network meta-analysis was performed to assess the acute and chronic effects of HIIT versus control condition, HIIT versus MICT and MICT versus control condition on BDNF levels. Pooled standardized mean differences (SMDs) and their 95% confidence intervals (95% CIs) were calculated for RCTs using a random-effects model. RESULTS: A total of 22 RCTs were selected for the systematic review, with 656 participants (aged 20.4-79 years, 34.0% females) and 20 were selected for the network meta-analysis. Network SMD estimates were significant for HIIT versus control condition (1.49, 95% CI: 0.61, 2.38) and MICT versus control condition (1.08, 95% CI: 0.04, 2.12) for acutely BDNF increase. However, pairwise comparisons only resulted in a significant effect for HIIT versus control condition. CONCLUSIONS: HIIT is the best training modality for acutely increasing peripheral BDNF levels in adults. HIIT may effectively increase BDNF levels in the long term.

Steps per day and health-related quality of life in schoolchildren: the mediator role of cardiorespiratory fitness.

To analyse the relationship between steps per day and health-related quality of life (HRQoL) and cardiorespiratory fitness (CRF) and to examine whether the relationship between steps per day and HRQoL is mediated by CRF in schoolchildren. This was a cross-sectional study including 501 schoolchildren (aged 9-12 years, 47% girls), from Cuenca, Spain. Steps per day were measured using the Xiaomi Mi Band 3 Smart Bracelet, HRQoL was estimated by the KIDSCREEN-27 questionnaire, and CRF was assessed using the 20-m shuttle run test. Analysis of covariance and multivariate analysis of covariance models showed that children with a higher mean number of steps per day (> 9000 steps/day) had better HRQoL (global score, and physical and psychological well-being) and higher CRF levels than their peers with a lower number of steps per day (p < 0.05); however, these differences were no longer significant when controlling for sex, age, mother's education level, and CRF (p > 0.05). Linear regression models estimated that each 1000-step increment was associated with better CRF (ß = 0.350; 95% CI, 0.192 to 0.508). In addition, the relationship between steps per day and HRQoL was mediated by CRF (p < 0.05).    Conclusion: Steps per day are a good metric to estimate daily physical activity because of its positive relationship with CRF. Moreover, those children taking more than 9000 steps per day are associated with higher levels of physical and psychological well-being. Finally, a substantial part of the improvement in HRQoL achieved through the increase in physical activity (steps per day) is mediated by CRF. What is Known: • Physical activity is known to have a positive impact on health-related quality of life in children. Steps per day are commonly used as a measure of physical activity. • Cardiorespiratory fitness is a recognized indicator of overall health in youth. What is New: • Increments of steps per day were associated with better CRF, with a nonlinear association after approximately 9000 steps/day. • Schoolchildren with > 9000 steps/ day showed better HRQoL.

Dynamic Changes in the Thylakoid Proteome of Cyanobacteria during Light-Regulated Thylakoid Membrane Development.

Cyanobacteria were among the oldest organisms to undertake oxygenic photosynthesis and have an essential impact on the atmosphere and carbon/nitrogen cycles on the planet. The thylakoid membrane of cyanobacteria represents an intricate compartment that houses a variety of multi-component (pigment-)protein complexes, assembly factors, and regulators, as well as transporters involved in photosynthetic light reactions, and respiratory electron transport. How these protein components are incorporated into membranes during thylakoid formation and how individual complexes are regulated to construct the functional machinery remains elusive. Here, we carried out an in-depth statistical analysis of the thylakoid proteome data obtained during light-induced thylakoid membrane biogenesis in the model cyanobacterium Synechococcus elongatus PCC 7942. A total of 1581 proteins were experimentally quantified, among which 457 proteins demonstrated statistically significant variations in abundance at distinct thylakoid biogenesis stages. Gene Ontology and KEGG enrichment analysis revealed that predominantly photosystems, light-harvesting antennae, ABC transporters, and pathway enzymes involved in oxidative stress responses and protein folding exhibited notable alternations in abundance between high light and growth light. Moreover, through cluster analysis the 1581 proteins were categorized into six distinct clusters that have significantly different trajectories of the change in their abundance during thylakoid development. Our study provides insights into the physiological regulation for the membrane integration of protein components and functionally linked complexes during the cyanobacterial TM biogenesis process. The findings and analytical methodologies developed in this study may be valuable for studying the global responses of TM biogenesis and photosynthetic acclimation in plants and algae.

Early vascular aging as an index of cardiovascular risk in healthy adults: confirmatory factor analysis from the EVasCu study.

BACKGROUND: The concept of early vascular aging (EVA) represents a potentially beneficial model for future research into the pathophysiological mechanisms underlying the early manifestations of cardiovascular disease. For this reason, the aims of this study were to verify by confirmatory factor analysis the concept of EVA on a single factor based on vascular, clinical and biochemical parameters in a healthy adult population and to develop a statistical model to estimate the EVA index from variables collected in a dataset to classify patients into different cardiovascular risk groups: healthy vascular aging (HVA) and EVA. METHODS: The EVasCu study, a cross-sectional study, was based on data obtained from 390 healthy adults. To examine the construct validity of a single-factor model to measure accelerated vascular aging, different models including vascular, clinical and biochemical parameters were examined. In addition, unsupervised clustering techniques (using both K-means and hierarchical methods) were used to identify groups of patients sharing similar characteristics in terms of the analysed variables to classify patients into different cardiovascular risk groups: HVA and EVA. RESULTS: Our data show that a single-factor model including pulse pressure, glycated hemoglobin A1c, pulse wave velocity and advanced glycation end products shows the best construct validity for the EVA index. The optimal value of the risk groups to separate patients is K = 2 (HVA and EVA). CONCLUSIONS: The EVA index proved to be an adequate model to classify patients into different cardiovascular risk groups, which could be valuable in guiding future preventive and therapeutic interventions.

The moderating role of recreational substance use in the association of Mediterranean diet with academic performance among adolescents.

No study has examined the potential moderating role of recreational substance use in the relationship between the Mediterranean diet (MedDiet) and academic performance. The aim of this study was to test the potential moderating role of recreational substance use (i.e., alcohol, tobacco, and cannabis) in the association of adherence to the MedDiet with academic performance among adolescents. This cross-sectional study included a sample of 757 adolescents (55.6% girls) aged 12-17 years from the Valle de Ricote (Region of Murcia). The Region of Murcia is an autonomous community of Spain located in the southeast of the Iberian Peninsula, along the coast of the Mediterranean Sea. Adherence to the MedDiet was assessed by the Mediterranean Diet Quality Index for Children and Teenagers (KIDMED). Recreational substance use (i.e., tobacco, alcohol, cannabis) was self-reported by adolescents. Academic performance was assessed by the school records at the end of the academic year. The relationship between adherence to the MedDiet and academic performance was moderated by both tobacco and alcohol use (for grade point average and all school records). In conclusion, higher adherence to the MedDiet was related to greater academic performance in adolescents, but recreational substance use could moderate this association.

Intelligence quotient-genotype association in dystrophinopathies: A systematic review and meta-analysis.

AIMS: Becker muscular dystrophy (BMD) and Duchenne muscular dystrophy (DMD) are associated with intelligence quotients (IQs) lower than the normative values, and it is suggested that IQ is negatively correlated with the number of affected isoforms (i.e., Dp427, Dp140 and Dp71). Therefore, the objective of this meta-analysis was to estimate the IQ, and the IQ-genotype association according to the altered dystrophin isoforms, in the population with BMD or DMD. METHODS: A systematic search in Medline, Web of Science, Scopus and the Cochrane Library was conducted from inception to March 2023. Observational studies that determined the IQ and/or the IQ by genotype in the population with BMD or DMD were included. Meta-analyses of IQ, IQ by genotype and IQ-genotype association by comparing IQ according to the genotype were conducted. The results are shown as the mean/mean differences and 95% confidence intervals. RESULTS: Fifty-one studies were included. The IQ in BMD was 89.92 (85.84, 94.01) and in DMD was 84.61 (82.97, 86.26). Moreover, the IQ for Dp427-/Dp140+/Dp71+ and Dp427-/Dp140-/Dp71+ was 90.62 (86.72, 94.53) and 80.73 (67.49, 93.98) in BMD, while the IQ for Dp427-/Dp140+/Dp71+, Dp427-/Dp140-/Dp71+ and Dp427-/Dp140-/Dp71- was 93.05 (89.42, 96.67), 81.78 (77.23, 86.32) and 49.19 (40.47, 57.90) in DMD. Finally, in DMD, Dp427-/Dp140-/Dp71+ vs Dp427-/Dp140+/Dp71+ and Dp427-/Dp140-/Dp71- vs Dp427-/Dp140-/Dp71+ were associated with -10.73 (-14.66, -6.81) and -36.14 (-48.87, -23.41) points, respectively. CONCLUSIONS: The IQ in BMD and DMD was lower than the normative values. Moreover, in DMD, there is a synergistic association between the number of affected isoforms and IQ.