Search Results (1,627)

Background/Objectives: The 2023 World Health Organization (WHO) guideline on infants aged under six months (u6m) wasting now includes mid-upper arm circumference (MUAC) and weight for age Z score (WAZ) as malnutrition treatment programme enrolment criteria. Evidence for the new criteria and optimal cut-offs is, however, sparse. We aimed to explore the potential caseload implications of the new criteria and explore how different cut-offs might affect them. Methods: We conducted a secondary analysis of data from 1048 Ethiopian infants u6m using STATA software version 17. Frequency tables and percentages were used to present malnutrition across various characteristics. The chi-square test with 95% confidence intervals (CIs) at a p value of < 0.05 was used to compare infant caseload identified by the WHO-2023 versus WHO-2013 criteria. Results: We found substantial overlaps among anthropometric indicators of malnutrition in infants defined by the WHO-2023 programme enrolment criteria. New WHO criteria result in a larger potential caseload (19.2% for 6 weeks to 6 months and 15.1% for infants under 6 weeks) compared with WHO-2013 criteria (2.4%). Whilst there are marked overlaps between low WAZ, low WLZ, and low MUAC, they capture different infants. An MUAC of < 110mm alone would capture only a third of all cases identified by WAZ and/or WLZ < −2. Conclusions: In Ethiopia, the WHO-2023 criteria markedly increase malnutrition caseloads compared with WHO-2013 criteria. There might be a case for increasing MUAC thresholds in MUAC-focused programs where WLZ or WAZ measurements are difficult. Future longitudinal data are needed to know which criteria best identify infants at highest risk of mortality/morbidity/poor development. Full article

The main goal of this paper is to develop a simplified model of the human body motion system that enables its application for movement simulations and the analysis of the kinematic and dynamic parameters occurring during the performance of activities. The model is established on the basis of the modified Hanavan model and consists of rigid solids with simple geometry that are connected mostly with spherical joints. Based on anthropometric data from the literature, a complete set of equations parameterizing the dimensions and mass of each segment was formulated. The equations depend on only two body measurements (height and mass). The model is built in the Adams system as a 3D numerical dynamic model and tested using data gathered with an IMU sensors system. A volunteer lifting an object with a bent spine from the ground with both hands is used for this purpose. Three angles (from the IMUs) are applied to each model’s joint to best simulate human movement and to analyze the angular displacements, velocities, and torques. These results are consistent with theoretical expectations and assumptions, thus proving that reproducing human movements with the developed model is possible and that it also allows various parameters of the human body to be obtained. Full article

Background: Obstructive sleep apnea (OSA) is a prevalent yet underdiagnosed condition associated with a major healthcare burden. Current diagnostic tools, such as full-night polysomnography (PSG), pose a limited accessibility to diagnosis due to their elevated costs. Recent advances in Artificial Intelligence (AI), including Machine Learning (ML) and deep learning (DL) algorithms, offer novel potential tools for an accurate OSA screening and diagnosis. This systematic review evaluates articles employing AI-powered models for OSA screening and diagnosis in the last decade. Methods: A comprehensive electronic search was performed on PubMed/MEDLINE, Google Scholar, and SCOPUS databases. The included studies were original articles written in English, reporting the use of ML algorithms to diagnose and predict OSA in suspected patients. The last search was performed in June 2024. This systematic review is registered in PROSPERO (Registration ID: CRD42024563059). Results: Sixty-five articles, involving data from 109,046 patients, met the inclusion criteria. Due to the heterogeneity of the algorithms, outcomes were analyzed into six sections (anthropometric indexes, imaging, electrocardiographic signals, respiratory signals, and oximetry and miscellaneous signals). AI algorithms demonstrated significant improvements in OSA detection, with accuracy, sensitivity, and specificity often exceeding traditional tools. In particular, anthropometric indexes were most widely used, especially in logistic regression-powered algorithms. Conclusions: The application of AI algorithms to OSA diagnosis and screening has great potential to improve patient outcomes, increase early detection, and lessen the load on healthcare systems. However, rigorous validation and standardization efforts must be made to standardize datasets. Full article

Maternal nutrition during pregnancy plays a pivotal role in influencing both maternal and fetal health, impacting neonatal anthropometric outcomes and long-term disease susceptibility. An advanced maternal age (AMA ≥ 35 years) has been linked to increased risks of obstetric complications and adverse neonatal outcomes, yet its specific nutritional profile remains underexplored. Background/Objectives: This study aimed to evaluate the nutrient and polyphenol intakes of women at an AMA compared to those of a younger control group and to investigate associations with neonatal anthropometric measures. Methods: A cohort of 200 pregnant women, stratified into AMA and control groups, completed a food frequency questionnaire during the second trimester. Neonatal anthropometric data were collected at delivery. Results: Intakes of fiber, zinc, copper, selenium, vitamins E, B1, B3 and folate were lower in the AMA group in comparison with the control values. Negative correlations were found between fiber, vitamin A and vitamin E and the head circumference of the newborn, with fiber being identified as a potential predictor of this parameter. Conclusions: Despite some limitations, such as the fact that the FFQ was completed only once during pregnancy and the cross-sectional design of the study, the findings highlight notable nutritional deficiencies among AMA women, which may influence neonatal outcomes such as head circumference. These results underscore the need for nutritional guidelines and supplementation strategies tailored to pregnant women over 35 years of age. Full article

Background and aim: Telomere length (TL) is a key biomarker of cellular aging, with shorter telomeres associated with age-related diseases. Lifestyle interventions mitigating telomere shortening are essential for preventing such conditions. This study aimed to examine the effects of two weight loss dietary strategies, based on a moderately high-protein (MHP) diet and a low-fat (LF) diet on TL in individuals with overweight or obesity. Methods and Results: A total of 164 participants, aged 18–65 years from the OBEKIT trial received the MHP (n = 83) or the LF diet (n = 81) for 4 months and had TL data for analyses. TL was measured at baseline and after 4 months of the intervention using monochrome multiplex quantitative polymerase chain reaction (MMqPCR). Both groups experienced significant improvements in anthropometric and biochemical parameters after the dietary intervention (p < 0.001). The MHP group showed an increase in TL (+0.16 ± 0.13) compared to the LF group (−0.05 ± 0.13) in multiple-adjusted models (p = 0.016). An interaction was observed between the sex and dietary group, where women in the MHP group had increased TL (+0.23 ± 0.16) after 4 months compared to women in the LF group (−0.13 ± 0.15; p = 0.001); no differences between dietary groups were found in men. This increase in TL for women was associated with an increase in protein intake (p = 0.006), measured through dietary questionnaires. Conclusion: This study shows that a MHP diet may have a protective effect on TL during weight loss, particularly in women, potentially contributing to healthier aging. These results highlight the importance of considering macronutrient composition in dietary interventions aimed at preserving TL. Full article

Background: Albania is undergoing a demographic, epidemiological, and nutrition transition leading to an increased prevalence of overweight and obesity among new generations. Comprehensive studies on the nutritional status and dietary patterns of youths in the country are still lacking. Methods: A cross-sectional study was conducted on a convenience sample of students (10–18 years) attending secondary schools in rural and semi-urban areas (October–November 2024). Information collected included socio-demographic data, anthropometric measurements (weight, height), and adherence to the Mediterranean Diet (MD) (KIDMED). Factors influencing dietary patterns were investigated, with a multivariate logistic regression performed to identify key drivers for poor MD adherence (AOR 95% CI). Results: In total, 426 children (47.2% females) were interviewed. Over 20% of the sample was overweight or obese, with the prevalence of these diseases decreasing with age regardless of gender. The KIDMED score highlighted suboptimal MD adherence (4.6 ± 2.5 SD), with significant differences between females and males (4.1 ± 2.4 SD vs. 5.1 ± 2.4 SD, p < 0.001), especially in rural areas (3.9 ± 2.4 SD vs. 4.9 ± 2.5 SD, p = 0.003). Dietary quality tended to decline with age. Female gender was the strongest predictor of poor MD adherence (AOR 2.08 CI: 1.34–3.22; p = 0.001). Conclusions: The MD is a cornerstone for ensuring the Albanian population’s long-term health and well-being. This study holds significant public health relevance in a country with high mortality rates due to cardiovascular diseases. Future nutrition interventions focused on the poor MD adherence of new generations should take into consideration geographic, cultural, and social dimensions, including gender equality. Full article

Background/Objectives: This protocol describes a study to investigate the feasibility and preliminary efficacy of a novel Teaching Kitchen Multisite Trial (TK-MT) for adults with cardiometabolic abnormalities. The TK-MT protocol describes a hybrid lifestyle intervention combining in-person and virtual instruction in culinary skills, nutrition education, movement, and mindfulness with community support and behavior change strategies. This 18-month-long randomized controlled trial aims to evaluate the feasibility of implementing a 12-month, 24 class program, assess preliminary study efficacy, and identify barriers and facilitators to implementation. Methods: The intervention program includes 16 weeks of intensive hands-on culinary and lifestyle education classes followed by eight monthly virtual classes. Psychometric assessments and biometric data will be collected at baseline, 4, 12, and 18 months. Semi-structured interviews and open-ended surveys will be conducted during the 12-month follow-up assessment. Results: Feasibility will be assessed through recruitment, attendance, and fidelity data. Secondary outcomes will analyze changes in health behaviors, biometric data, and anthropometric measures using mixed-effects regression models. Qualitative data will undergo thematic analysis. Conclusions: As envisioned and described in detail in this manuscript, this study will inform the development and implementation of reproducible, scalable teaching kitchen interventions. The protocol described here is intended to set the stage for future investigations to evaluate evidence for the impact of teaching kitchen interventions on dietary habits, physical activity, and overall health and well-being. Full article

Background: Prostate cancer (PCa) accounts for 22% of the new cases diagnosed in Hispanic/Latino (H/L) men in the US. PCa has the highest incidence (38.3%) and mortality (16.4%) among all types of cancer diagnosed in Puerto Rico. We previously showed that PCa patients (n = 41) have a significant reduction of 59% in their levels of DNA repair capacity (DRC) when compared to controls (n = 14). This study aimed to evaluate DRC levels through the nucleotide excision repair (NER) pathway for the first time in 16 Puerto Rican H/L men with metastatic castration-resistant PCa (mCRPCa) while establishing comparisons with controls and PCa patients with indolent and aggressive disease. Methods: Blood samples and clinicopathological data from PCa cases (n = 71) and controls (n = 25) were evaluated. PCa cases were stratified into mCRPCa (n = 16), aggressive (n = 31), and indolent (n = 24). DRC levels through NER were measured in lymphocytes with the CometChip assay. The stratification by Gleason score (GS) was GS6 (n = 7), GS7 (n = 23), GS ≥ 8 (n = 20), and mCRPCa patients (n = 16). Results: Significant statistical differences were found when comparing the DRC values of the controls with any other of the four PCa patient groups. mCRPCa patients had the lowest mean DRC level of all four patient groups studied. The mean DRC level of mCRPCa patients was 6.65%, and compared to the controls, this represented a statistically significant reduction of 62% (p < 0.0001). Further analysis was performed to evaluate the contributions of age, anthropometric measurements, and prostate-specific antigen (PSA) levels to the DRC. Kaplan–Meier curves of mCRPCa revealed that survival probability decreased by approximately 50% by 30 months. This pilot study uses a blood-based phenotypic assay to present the first report of mCRPCa in Puerto Rican men and at a global level of DRC levels of mCRPCa patients. Conclusions: This study evaluated DRC levels through the NER pathway for the first time in 16 Puerto Rican H/L men with mCRPCa. Significant differences in DRC values were found between the controls and the three PCa patient groups. Kaplan–Meier curves revealed that survival probability decreased by approximately 50% by 30 months, and only 20% of the cohort was alive at 50 months, confirming the lethality of mCRPCa in this H/L population. This pilot study represents the first report of metastatic PCa in Puerto Rican men at a global level of DRC levels of mCRPCa patients using a blood-based phenotypic assay. Full article

Background: The inability to ensure adequate nutrition for patients, and failure to provide adequate calorie and protein intake, result in malnutrition, leading to increased morbidity and mortality. The present study assesses the two approaches to enteral nutrition—intermittent and continuous enteral feeding—in critically ill pediatric patients in Türkiye to determine the superiority of one method over the other. Methods: Included in this multicenter prospective study were patients receiving enteral nutrition via a tube who were followed up over a 3-month period. Anthropometric data, calorie and protein intake, and signs of feeding intolerance were evaluated in a comparison of the different feeding methods. Results: A total of 510 patients were examined. In the continuous enteral feeding (CEF) group, 20.2% of patients developed metabolic abnormalities, and 49.5% experienced enteral nutrition intolerance, both of which were higher than in the intermittent enteral feeding (IEF) group, and the differences were statistically significant. No significant differences were observed between the two feeding methods in terms of reaching the target calorie intake on days 2 and 7 (p > 0.05). On day 7, there were significant differences between the two feeding methods in terms of calorie and protein intake (p = 0.023 and 0.014, respectively). Conclusions: In the present study, assessing the IEF and CEF approaches to enteral nutrition, critically ill pediatric patients receiving intermittent feeding exhibited lower rates of enteral nutrition intolerance and metabolic abnormalities. Furthermore, the calorie and protein intake on day 7 were noted to be higher in the IEF group than in the CEF group. Further randomized controlled trials are needed to confirm the findings of the present study. Full article

Background: Childhood obesity is a major public health concern, being linked to an increased risk of metabolic disorders and cardiovascular disease. Even in childhood, obesity is associated with systemic low-grade inflammation, which is a critical factor in the development of atherosclerosis and a predictor of cardiovascular morbidity and mortality. Objectives: To describe the prevalence of obesity and examine the relationship between IL-6, TNF-α, adiponectin, leptin, the leptin/adiponectin (L/A) ratio, and Klotho levels with BMI in children. Methods: This cross-sectional study included children aged 10–14 years from La Rioja, Spain. Participants were selected based on BMI criteria for overweight (85th–95th percentiles) and obesity (>95th percentile). Socio-demographic and anthropometric data and blood samples were collected and analyzed for IL-6, TNF-α, adiponectin, leptin, and Klotho. Results: A total of 340 participants were included, with 276 (81.2%) classified as normal weight and 64 (18.8%) as overweight or obese. Mean age was similar between groups (p = 0.40). Obesity was more prevalent in males (59.4%, p = 0.048). Obese participants had higher mean birth weight (p = 0.003), current height (p = 0.04), BMI (p < 0.0001), and abdominal circumference (p < 0.0001). BMI correlated positively with leptin (r = 0.54, p = 0.0008) and the L/A ratio (r = 0.40, p = 0.025), showing sex-specific differences. Conclusions: This study underscores leptin and the L/A ratio as potential biomarkers of metabolic dysregulation in childhood obesity, particularly in females. Longitudinal studies are needed to confirm these findings and assess the clinical utility of these biomarkers in pediatric obesity management. Full article

Objectives: The main purpose of this study is to identify the relative effect of age (RAE) according to norm values on the anthropometric performance and physical fitness of children between the ages of 9 and 11 years. The data, namely the percentiles of anthropometric parameters and physical fitness, are relevant for identifying the RAE in relation to gender and the month of birth in children. Methods: For the sample in this study, 1185 young people from Kosovo were enrolled, including 626 males and 559 females aged 9–11 years. The gathered data were assessed via the EUROFIT methodology, which takes into account comparisons based on the quartile of birth and the relative age effect (RAE). Results: The results of the data show us that there are significant differences in the RAE among children born in Q2 at the age of 9 years, especially in boys, as well as significant differences in the height variable at the <0.005 significance level. Others factors did not show significant differences, for example, variables that are indicators of physical fitness. For both boys and girls born in Q1, significant differences were mainly found in the indicators of explosive strength, flexibility, static strength, speed, and agility, with a level of significance of p < 0.001, while other indicators did not show significant differences. In addition, there was a significant difference the ratio between genders at the p < 0.001 and p < 0.005 levels, mainly among those born in Q1 and Q2. Similarly, at 10 years of age, children who were born earlier in the year had better scores, although the large disparities were more noticeable between quartiles than between genders, where the significant differences were mainly in the indicators of explosive strength, speed, and strength at the p < 0.001 level, as well as static strength, agility, and speed at the p < 0.005 level. Significant differences were also found for the indicators in terms of gender. At the age of 11, significant percentiles were mainly found in the quartiles at the beginning of the year for both boys and girls, and significant differences were also found at the p < 0.001 level for RAE between quartiles and gender. Conclusions: By using these data, it will be possible to highlight how males, who have demonstrated notable advantages in anthropometric and physical fitness measures, as well as those born in the first few months of the year, exhibit a relative age effect (RAE) in accordance with gender norm values. Full article

Often referred to as ‘the last unknown’, Papua New Guinea’s largely unexplored environments across its four distinct regions, the Highlands, New Guinea Islands, Momase, and Southern, exhibit remarkable diversity. Understanding this diversity is significant in contextualising the risk factors associated with developing non-communicable diseases. This review aims to map and summarise the literature to provide region-specific prevalence data for risk factors and non-communicable diseases. Four databases and grey literature were searched. Two reviewers completed the screening and data extraction. Twenty-one studies were included, with five reporting the data by region and the remaining reporting the data nationwide. Six studies reported on risk factors, thirteen reported on non-communicable diseases, and two reported on risk factors and non-communicable diseases. The Southern region, which includes the Capital, Port Moresby, reported the highest prevalence for most risk factors: anthropometric (overweight, obesity, and waist circumference), lifestyle (betel nut, alcohol, unhealthy diet, and stress), and biochemical (cholesterol, triglycerides, HbA1c, and metabolic syndrome). The findings of this review highlight the limited evidence base for region-specific risk factor data and the lack of objective diagnosis of non-communicable diseases. There were variations in the prevalence of specific risk factors by region; however, the Southern region stands out as requiring immediate attention for health promotion program interventions. Full article

Background/Objectives: Metabolic syndrome (MetS) is a cluster of risk factors that significantly increase the risk of cardiovascular disease, including type 2 diabetes, etc. Assessing the predictive diagnostic power of anthropometric indicators for MetS is crucial for the early identification and prevention of related health issues. This study focuses on the Korean adult population while providing insights that may be applicable to broader global contexts. Therefore, this study aimed to compare the predictive diagnostic capabilities of various anthropometric indicators, including body mass index (BMI), waist-to-height ratio (WHtR), muscle mass-to-fat mass ratio (MFR), muscle mass-to-waist ratio (MWR), and body shape index (ABSI), in relation to MetS in Korean adults. Methods: Data from 13,725 participants of the Korea National Health and Nutrition Examination Survey (2008–2011) were analyzed. The diagnostic power of each indicator was assessed using the receiver operating characteristic (ROC) curve analysis, and the area under the curve (AUC) values were compared. Participants were classified into normal (NG) and abnormal (AG) groups based on established cutoff values, and logistic regression analysis was performed to evaluate the odds of MetS in each group. Results: WHtR showed the highest AUC values (0.792 for men and 0.768 for women), indicating superior diagnostic accuracy compared to the other indicators (p < 0.001). Logistic regression analysis indicated that both the unadjusted and adjusted odds ratios (OR) for MetS were significantly higher in the AG than in the NG across all indicators (p < 0.001). Specifically, the adjusted OR (95% confidence interval) for WHtR in the AG was 6.793 (5.929–7.784) for men and 4.665 (4.151–5.423) for women, representing the highest values among all indicators (p < 0.001). Conclusion: Among the various anthropometric indicators, WHtR is the most reliable and practical for predicting MetS in Korean adults. It is useful for early intervention and prevention in both clinical and public health settings. Full article

The presence of malnutrition in early life is a determining factor in the onset of metabolic alterations and chronic diseases in adults. Therefore, the objective of this study was to determine the impact of malnutrition in early childhood with the presence of cardiometabolic risk factors in adulthood in marginalized populations from Chiapas, Mexico. The present investigation was based on a prospective cohort study that began in 2002, with young adults aged 18 to 25 years belonging to De Los Bosques region in Chiapas, Mexico. Sociodemographic, anthropometric, clinical and biochemical data were obtained in adulthood. Binary logistic regression models with 95% confidence intervals were fitted to assess the association between nutritional status in childhood (≤5 years of age) and cardiometabolic risk in adulthood. Individuals with overweight/obesity in childhood were more likely to have overweight/obesity (OR = 2.65, 95% CI: 1.09–6.45), high waist circumference (3.78, 95% CI: 1.55–9.24), high waist to height ratio (OR = 5.38, CI 95%: 1.60–18.10), elevated total cholesterol (OR = 3.95, 95% CI: 1.36–11.43) and metabolic syndrome (OR = 4.71, 95% CI: 1.49–14.90) in adulthood. In conclusion, malnutrition presented in early childhood increased the probability of developing cardiometabolic alterations in young adults from southern Mexico. Full article

Background: This paper aims to complement the latest contribution in the literature that provides estimates of physiological parameters of a dynamic model for the elbow time profile during walking while linking them to a neurodegenerative disorder (Parkinsons’s disease) characterized by motor symptoms. An upper limb model is here proposed in which an active contractile element is included within a model, viewing the arm as a double pendulum system and muscles as represented by a Kelvin–Voight system. All model parameters characterizing both the shoulder and the elbow of each subject are estimated via a gradient-like identifier whose exponential convergence properties are determined by a non-anticipative Lyapunov function, ensuring robustness features. Methods: Joint angle data from different walking subjects (healthy subjects and patients with Parkinson’s disease) have been recorded using an IMU sensor system and compared with the joint angles obtained by means of the proposed model, which was adapted to each subject using available anthropometric knowledge and relying on the estimated parameters. Results: Experiments show that the reconstruction of shoulder and elbow time profiles can be definitely achieved through the proposed procedure with the estimated stiffness parameters turning out to constitute objective and quantitative indices of muscle stiffness (as a pivotal symptom of the pathology), which are able to track changes due to the therapy. Conclusions: The same dynamic model is actually able to capture the main features of the upper limb movement of both (healthy and pathological) walking subjects, with its parameters, in turn, characterizing the nature and progress of the pathology. Full article