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Maternal & Child Nutrition Jan 2022In 2014, the Emergency Nutrition Network published a report on the relationship between wasting and stunting. We aim to review evidence generated since that review to... (Review)
Review
In 2014, the Emergency Nutrition Network published a report on the relationship between wasting and stunting. We aim to review evidence generated since that review to better understand the implications for improving child nutrition, health and survival. We conducted a systematic review following PRISMA guidelines, registered with PROSPERO. We identified search terms that describe wasting and stunting and the relationship between the two. We included studies related to children under five from low- and middle-income countries that assessed both ponderal growth/wasting and linear growth/stunting and the association between the two. We included 45 studies. The review found the peak incidence of both wasting and stunting is between birth and 3 months. There is a strong association between the two conditions whereby episodes of wasting contribute to stunting and, to a lesser extent, stunting leads to wasting. Children with multiple anthropometric deficits, including concurrent stunting and wasting, have the highest risk of near-term mortality when compared with children with any one deficit alone. Furthermore, evidence suggests that the use of mid-upper-arm circumference combined with weight-for-age Z score might effectively identify children at most risk of near-term mortality. Wasting and stunting, driven by common factors, frequently occur in the same child, either simultaneously or at different moments through their life course. Evidence of a process of accumulation of nutritional deficits and increased risk of mortality over a child's life demonstrates the pressing need for integrated policy, financing and programmatic approaches to the prevention and treatment of child malnutrition.
Topics: Anthropometry; Body Weight; Child; Child Nutrition Disorders; Child, Preschool; Growth Disorders; Humans; Infant; Nutritional Status; Wasting Syndrome
PubMed: 34486229
DOI: 10.1111/mcn.13246 -
Nutrients Feb 2023The performance of male soccer players (MSP) depends on multiple factors such as body composition. The physical demands of modern soccer have changed, so the ideal body... (Meta-Analysis)
Meta-Analysis Review
The performance of male soccer players (MSP) depends on multiple factors such as body composition. The physical demands of modern soccer have changed, so the ideal body composition (BC) requirements must be adapted to the present. The aim of this systematic review and meta-analysis was to describe the anthropometric, BC, and somatotype characteristics of professional MSP and to compare the values reported according to the methods and equations used. We systematically searched Embase, PubMed, SPORTDiscus, and Web of Science following the PRISMA statement. Random-effects meta-analysis, a pooled summary of means, and 95% CI (method or equation) were calculated. Random models were used with the restricted maximum likelihood (REML) method. Seventy-four articles were included in the systematic review and seventy-three in the meta-analysis. After comparing the groups according to the assessment method (kinanthropometry, bioimpedance, and densitometry), significant differences were found in height, fat mass in kilograms, fat mass percentage, and fat-free mass in kilograms ( = 0.001; < 0.0001). Taking into account the equation used to calculate the fat mass percentage and ∑skinfolds, significant differences were observed in the data reported according to groups ( < 0.001). Despite the limitations, this study provides useful information that could help medical technical staff to properly assess the BC of professional MSP, providing a range of guidance values for the different BC.
Topics: Humans; Male; Soccer; Body Composition; Anthropometry; Somatotypes
PubMed: 36904159
DOI: 10.3390/nu15051160 -
Obesity Reviews : An Official Journal... May 2022To systematically review and analyze the effects of resistance-based exercise programs on body composition, regional adiposity, and body weight in individuals with... (Meta-Analysis)
Meta-Analysis Review
Resistance training effectiveness on body composition and body weight outcomes in individuals with overweight and obesity across the lifespan: A systematic review and meta-analysis.
To systematically review and analyze the effects of resistance-based exercise programs on body composition, regional adiposity, and body weight in individuals with overweight/obesity across the lifespan. Using PRISMA guidelines, randomized controlled trials were searched in nine electronic databases up to December 2020. Meta-analyses were performed using random-effects model. One-hundred sixteen articles describing 114 trials (n = 4184 participants) were included. Interventions involving resistance training and caloric restriction were the most effective for reducing body fat percentage (ES = -3.8%, 95% CI: -4.7 to -2.9%, p < 0.001) and whole-body fat mass (ES = -5.3 kg, 95% CI: -7.2 to -3.5 kg, p < 0.001) compared with groups without intervention. Significant results were also observed following combined resistance and aerobic exercise (ES = -2.3% and -1.4 kg, p < 0.001) and resistance training alone (ES = -1.6% and -1.0 kg, p < 0.001) compared with no training controls. Resistance training alone was the most effective for increasing lean mass compared with no training controls (ES = 0.8 kg, 95% CI: 0.6 to 1.0 kg, p < 0.001), whereas lean mass was maintained following interventions involving resistance training and caloric restriction (ES = ~ - 0.3 kg, p = 0.550-0.727). Results were consistently observed across age and sex groups (p = 0.001-0.011). Reductions in regional adiposity and body weight measures were also observed following combined resistance and aerobic exercise and programs including caloric restriction (p < 0.001). In conclusion, this study provides evidence that resistance-based exercise programs are effective and should be considered within any multicomponent therapy program when caloric restriction is utilized in individuals with overweight or obesity.
Topics: Body Composition; Body Mass Index; Body Weight; Humans; Longevity; Obesity; Overweight; Resistance Training
PubMed: 35191588
DOI: 10.1111/obr.13428 -
Nutrition (Burbank, Los Angeles County,... Oct 2022With increasing life expectancy of patients with cystic fibrosis (CF), gastrointestinal manifestations of the disease have been increasingly brought into focus. This was... (Review)
Review
With increasing life expectancy of patients with cystic fibrosis (CF), gastrointestinal manifestations of the disease have been increasingly brought into focus. This was a systematic review of the PubMed database and ongoing phase III clinical trials that aimed to summarize recent (published after June 1 2016) studies reporting the effects of nutritional interventions on anthropometric measures (weight, height, and body mass index) in patients with CF. Two ongoing trials and 40 published studies (18 interventional and 22 observational) were identified. Key results supported the benefits of comprehensive, individualized nutritional plans, high-fat, high-calorie diet including high-quality carbohydrates, and enteric tube feeding (albeit the latter was derived from observational studies only). In contrast, the supplementation of probiotics, lipids, docosahexaenoic, glutathione, or antioxidant-enriched multivitamin appeared to have little effect on anthropometric measures.
Topics: Body Height; Body Mass Index; Cystic Fibrosis; Enteral Nutrition; Humans; Nutritional Status
PubMed: 35816813
DOI: 10.1016/j.nut.2022.111725 -
Journal of the American Medical... Nov 2023Choosing the optimal sarcopenia screening tool for a specific clinical scenario is challenging. We aimed to summarize all validated sarcopenia screening tools with... (Review)
Review
OBJECTIVE
Choosing the optimal sarcopenia screening tool for a specific clinical scenario is challenging. We aimed to summarize all validated sarcopenia screening tools with diagnostic accuracy tested in one or more study populations.
DESIGN
Scoping review.
SETTING AND PARTICIPANTS
Hospitals, nursing homes, communities, or health checkups.
METHODS
We systematically searched 3 databases in April 2022: MEDLINE, EMBASE, and CENTRAL. Two review authors independently performed the study selection and data extraction. The included tools' contents, characteristics, and number of citations were summarized and visualized.
RESULTS
We summarized 102 diagnostic accuracy studies involving 53 screening tools, classified into 7 groups: questionnaires (n = 13); serum biomarkers (n = 10); formulas, algorithms, and models (n = 9); physical ability tests (n = 9); integration tools (n = 7); anthropometric indices (n = 3); and ultrasound or bioimpedance analysis (n = 2). The most commonly used questionnaire was SARC-F (770 citations), followed by SARC-CalF (254 citations) and MSRA-7 (61 citations). Handgrip strength and Ishii score were the most widely used physical performance tests (331 citations) and formulas (294 citations), respectively. Sarcopenia index (based on serum cystatin C and creatinine) and calf circumference were the most commonly used serum biomarkers (123 citations) and anthropometric indexes (127 citations), respectively. Ultrasound was the most commonly used imaging tool for screening sarcopenia (57 citations). The included tools varied significantly in content. Various tools assessed some or all components of sarcopenia with different methods, and others assessed different domains, such as age, body mass index, falls, diet, and even mental health. We also summarized the screening tools that were validated in different clinical settings (hospitals, communities, nursing homes, and health checkups).
CONCLUSIONS AND IMPLICATIONS
More than 50 validated tools are currently available for screening sarcopenia in different clinical settings. The results of this review may help clinicians and researchers in selecting optimal tools for sarcopenia in different clinical scenarios and in developing future tools.
Topics: Humans; Aged; Sarcopenia; Hand Strength; Muscle Strength; Anthropometry; Surveys and Questionnaires; Geriatric Assessment; Biomarkers; Mass Screening
PubMed: 37567245
DOI: 10.1016/j.jamda.2023.06.036 -
Clinical Oral Investigations Jul 2021Deep learning (DL) has been increasingly employed for automated landmark detection, e.g., for cephalometric purposes. We performed a systematic review and meta-analysis... (Meta-Analysis)
Meta-Analysis Review
OBJECTIVES
Deep learning (DL) has been increasingly employed for automated landmark detection, e.g., for cephalometric purposes. We performed a systematic review and meta-analysis to assess the accuracy and underlying evidence for DL for cephalometric landmark detection on 2-D and 3-D radiographs.
METHODS
Diagnostic accuracy studies published in 2015-2020 in Medline/Embase/IEEE/arXiv and employing DL for cephalometric landmark detection were identified and extracted by two independent reviewers. Random-effects meta-analysis, subgroup, and meta-regression were performed, and study quality was assessed using QUADAS-2. The review was registered (PROSPERO no. 227498).
DATA
From 321 identified records, 19 studies (published 2017-2020), all employing convolutional neural networks, mainly on 2-D lateral radiographs (n=15), using data from publicly available datasets (n=12) and testing the detection of a mean of 30 (SD: 25; range.: 7-93) landmarks, were included. The reference test was established by two experts (n=11), 1 expert (n=4), 3 experts (n=3), and a set of annotators (n=1). Risk of bias was high, and applicability concerns were detected for most studies, mainly regarding the data selection and reference test conduct. Landmark prediction error centered around a 2-mm error threshold (mean; 95% confidence interval: (-0.581; 95 CI: -1.264 to 0.102 mm)). The proportion of landmarks detected within this 2-mm threshold was 0.799 (0.770 to 0.824).
CONCLUSIONS
DL shows relatively high accuracy for detecting landmarks on cephalometric imagery. The overall body of evidence is consistent but suffers from high risk of bias. Demonstrating robustness and generalizability of DL for landmark detection is needed.
CLINICAL SIGNIFICANCE
Existing DL models show consistent and largely high accuracy for automated detection of cephalometric landmarks. The majority of studies so far focused on 2-D imagery; data on 3-D imagery are sparse, but promising. Future studies should focus on demonstrating generalizability, robustness, and clinical usefulness of DL for this objective.
Topics: Cephalometry; Deep Learning; Radiography; Reproducibility of Results
PubMed: 34046742
DOI: 10.1007/s00784-021-03990-w -
Psychiatry Research Dec 2021Recent research has shown a growing interest in exploring the relationship between anorexia nervosa (AN) and autism spectrum disorder (ASD). Both conditions seem to... (Review)
Review
BACKGROUND
Recent research has shown a growing interest in exploring the relationship between anorexia nervosa (AN) and autism spectrum disorder (ASD). Both conditions seem to share areas of cognitive, social and behavioural impairment, leading to relevant implications on treatment, especially when they are in comorbidity. This literature review aims to synthesise the latest studies on this topic to investigate the co-occurrence of AN and ASD, suggest future research directions and consider implications for treatment.
METHOD
Records were systematically (PRISMA guidelines) identified through PubMed, EBSCOhost, Scopus and Web of Science searching.
RESULTS
Thirteen studies met the eligibility criteria and were therefore included in the review. Results seem to confirm an overrepresentation of ASD symptoms in AN. Only few studies investigated the AN-ASD comorbidity in young people and report slightly lower rates than those conducted with adults.
CONCLUSIONS
Analysed studies suggest that while the comorbidity seems to exacerbate the severity of the condition, autistic traits appear to be rather stable over time and not related to body weight. Thus, future longitudinal studies and gender- specific assessment tools can help clarify the relationship between the two disorders, examine the onset of ASD symptoms and develop structured guidelines for treatment.
Topics: Adolescent; Adult; Anorexia Nervosa; Autism Spectrum Disorder; Body Weight; Comorbidity; Humans
PubMed: 34798485
DOI: 10.1016/j.psychres.2021.114271 -
BMJ (Clinical Research Ed.) Jan 2022To present a comprehensive review of the association between measures of body weight, waist, and fat, and different ratios of these measures, and the risk of type 2... (Meta-Analysis)
Meta-Analysis
OBJECTIVE
To present a comprehensive review of the association between measures of body weight, waist, and fat, and different ratios of these measures, and the risk of type 2 diabetes.
DESIGN
Systematic review and dose-response meta-analysis of cohort studies.
DATA SOURCES
PubMed, Scopus, and Web of Science up to 1 May 2021.
REVIEW METHODS
Cohort studies looking at the association between general or central adiposity and body fat content and the risk of type 2 diabetes in the general adult population were included. Two of the authors extracted the data in duplicate. Random effects dose-response meta-analyses were performed to estimate the degree of the associations. Curvilinear associations were modelled with a one stage weighted mixed effects meta-analysis.
RESULTS
216 cohort studies with 2.3 million individuals with type 2 diabetes among 26 million participants were identified. Relative risks were 1.72 (95% confidence interval 1.65 to 1.81; n=182 studies) for an increase in body mass index of 5 units, 1.61 (1.52 to 1.70; n=78) for a 10 cm larger waist circumference, 1.63 (1.50 to 1.78; n=34) for an increase in waist-to-hip ratio of 0.1 units, 1.73 (1.51 to 1.98; n=25) for an increase in waist-to-height ratio of 0.1 units, 1.42 (1.27 to 1.58; n=9) for an increase in visceral adiposity index of 1 unit, 2.05 (1.41 to 2.98; n=6) for a 10% higher percentage body fat, 1.09 (1.05 to 1.13, n=5) for an increase in body shape index of 0.005 units, 2.55 (1.59 to 4.10, n=4) for a 10% higher body adiposity index, and 1.11 (0.98 to 1.27; n=14) for a 10 cm larger hip circumference. A strong positive linear association was found between body mass index and the risk of type 2 diabetes. Positive linear or monotonic associations were also found in all regions and ethnicities, without marked deviation from linearity at a specific cut-off value. Indices of central fatness, independent of overall adiposity, also had positive linear or monotonic associations with the risk of type 2 diabetes. Positive linear or monotonic associations were also found for total and visceral fat mass, although the number of studies was small.
CONCLUSIONS
A higher body mass index was associated with a greater risk of developing type 2 diabetes. A larger waist circumference, independent of overall adiposity, was strongly and linearly associated with the risk of type 2 diabetes.
SYSTEMATIC REVIEW REGISTRATION
PROSPERO CRD42021255338.
Topics: Adipose Tissue; Adiposity; Adult; Aged; Anthropometry; Body Mass Index; Diabetes Mellitus, Type 2; Female; Humans; Linear Models; Male; Middle Aged; Obesity; Waist Circumference; Waist-Height Ratio; Waist-Hip Ratio; Young Adult
PubMed: 35042741
DOI: 10.1136/bmj-2021-067516 -
Nutrients Jan 2021Globally, increasing rates of obesity are one of the most important health issues. The association between breakfast skipping and body weight is contradictory between... (Meta-Analysis)
Meta-Analysis
Globally, increasing rates of obesity are one of the most important health issues. The association between breakfast skipping and body weight is contradictory between cross-sectional and interventional studies. This systematic review and meta-analysis aims to summarize this association based on observational longitudinal studies. We included prospective studies on breakfast skipping and overweight/obesity or weight change in adults. The literature was searched until September 2020 in PubMed and Web of Science. Summary risk ratios (RRs) or β coefficients with a 95% confidence interval (CI), respectively, were estimated in pairwise meta-analyses by applying a random-effects model. In total, nine studies were included in the systematic review and five of them were included in the meta-analyses. The meta-analyses indicated an 11% increased RR for overweight/obesity when breakfast was skipped on ≥3 days per week compared to ≤2 days per week (95% CI: 1.04, 1.19, = two studies). The meta-analysis on body mass index (BMI) change displayed no difference between breakfast skipping and eating (β = -0.02; 95% CI: -0.05, 0.01; = two studies). This study provides minimal evidence that breakfast skipping might lead to weight gain and the onset of overweight and obesity.
Topics: Adult; Body Mass Index; Body Weight; Breakfast; Feeding Behavior; Female; Humans; Longitudinal Studies; Male; Obesity; Observational Studies as Topic; Odds Ratio; Overweight; Weight Gain; Young Adult
PubMed: 33477881
DOI: 10.3390/nu13010272 -
BMJ (Clinical Research Ed.) Sep 2020To quantify the association of indices of central obesity, including waist circumference, hip circumference, thigh circumference, waist-to-hip ratio, waist-to-height... (Meta-Analysis)
Meta-Analysis
OBJECTIVE
To quantify the association of indices of central obesity, including waist circumference, hip circumference, thigh circumference, waist-to-hip ratio, waist-to-height ratio, waist-to-thigh ratio, body adiposity index, and A body shape index, with the risk of all cause mortality in the general population, and to clarify the shape of the dose-response relations.
DESIGN
Systematic review and meta-analysis.
DATA SOURCES
PubMed and Scopus from inception to July 2019, and the reference lists of all related articles and reviews.
ELIGIBILITY CRITERIA FOR SELECTING STUDIES
Prospective cohort studies reporting the risk estimates of all cause mortality across at least three categories of indices of central fatness. Studies that reported continuous estimation of the associations were also included.
DATA SYNTHESIS
A random effects dose-response meta-analysis was conducted to assess linear trend estimations. A one stage linear mixed effects meta-analysis was used for estimating dose-response curves.
RESULTS
Of 98 745 studies screened, 1950 full texts were fully reviewed for eligibility. The final analyses consisted of 72 prospective cohort studies with 2 528 297 participants. The summary hazard ratios were as follows: waist circumference (10 cm, 3.94 inch increase): 1.11 (95% confidence interval 1.08 to 1.13, I=88%, n=50); hip circumference (10 cm, 3.94 inch increase): 0.90 (0.81 to 0.99, I=95%, n=9); thigh circumference (5 cm, 1.97 inch increase): 0.82 (0.75 to 0.89, I=54%, n=3); waist-to-hip ratio (0.1 unit increase): 1.20 (1.15 to 1.25, I=90%, n=31); waist-to-height ratio (0.1 unit increase): 1.24 (1.12 to 1.36, I=94%, n=11); waist-to-thigh ratio (0.1 unit increase): 1.21 (1.03 to 1.39, I=97%, n=2); body adiposity index (10% increase): 1.17 (1.00 to 1.33, I=75%, n=4); and A body shape index (0.005 unit increase): 1.15 (1.10 to 1.20, I=87%, n=9). Positive associations persisted after accounting for body mass index. A nearly J shaped association was found between waist circumference and waist-to-height ratio and the risk of all cause mortality in men and women. A positive monotonic association was observed for waist-to-hip ratio and A body shape index. The association was U shaped for body adiposity index.
CONCLUSIONS
Indices of central fatness including waist circumference, waist-to-hip ratio, waist-to-height ratio, waist-to-thigh ratio, body adiposity index, and A body shape index, independent of overall adiposity, were positively and significantly associated with a higher all cause mortality risk. Larger hip circumference and thigh circumference were associated with a lower risk. The results suggest that measures of central adiposity could be used with body mass index as a supplementary approach to determine the risk of premature death.
Topics: Body Mass Index; Humans; Obesity, Abdominal; Waist Circumference; Waist-Hip Ratio
PubMed: 32967840
DOI: 10.1136/bmj.m3324