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BACKGROUND: Researchers over the years have underscored the role of birth spacing on maternal health, however, inadequate maternal repletion due to shorter birth intervals could also affect the health of the child. Even so, limited studies exist on the linkage between birth spacing and child nutrition. This study examines the association between birth spacing and child stunting and underweight using the 2014 Ghana Demographic and Health Survey. METHODS: The study sourced data on 1, 904 children less than 59 months from the 2014 Ghana Demographic and Health Survey. The study employed bivariate analysis and logistic regressions to establish the association between birth spacing, and child stunting and underweight. RESULTS: The analyses reveal that childbirth spacing between 24 and 35 months (OR = 0.62, 95% CI: 0.38-0.99; p < 0.05), 36 to 47 months (OR = 0.42, 95% CI: 0.25-0.70; p < 0 0.01), and beyond 47 months (OR = 0.47, 95% CI: 0.28-0.78; p < 0.01) have lower odds of child stunting than children with birth spacing less than 24 months. Children with birth spacing between 24 and 35 months (OR = 0.53, 95% CI: 0.29-0.98; p < 0.05), 36 to 47 months (OR = 0.44, 95% CI: 0.22-0.90; p < 0.01) and beyond 47 months (OR = 0.49, 95% CI: 0.26-0.94; P < 0.05) have lower odds of being underweight than those with birth spacing less than 24 months. CONCLUSION: The study reveals that mothers with a birth spacing of at least two to three years compared to their counterparts with less than two years of birth spacing have lower odds of having a stunted and underweight child under age five. The study recommends that Ghana Health Service and other healthcare providers should educate mothers on the gains of birth spacing of at least two years on their children.

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PURPOSE: To assess the impact of thinness on the outcome of the percutaneous nephrolithotomy (PCNL). MATERIALS AND METHODS: A matched case-control study was performed using a prospectively collected database of all patients who underwent PCNL between June 2011 and October 2021. The patients were stratified into two groups according to their phenotypic characteristics, arbitrarily defined according to their body mass index (BMI): <0kg/m2 (Group 1, very thin patients, G<20) and ≥25 kg/m2 (Group 2, non-thin patients, G≥25). Patients were randomly matched based on Guy's Stone Score (GSS) according to case complexity at a ratio of 1:3. RESULTS: A total of 204 patients were enrolled in this study: 51 patients (G<20) and 153 controls (G≥25). Complications occurred in 15.2% of the patients, with 5.4% of these complications classified as major complications (Clavien grade ≥ 3). According to complications there were no significant differences between the groups. The overall complication rates were 17.6% in the G<20 and 14.4% in the G≥25 (p = 0.653). The major complication rates were 3.9% in the G<20 and 5.8% in the G≥25 (p=0.429). No differences in transfusion or urinary fistula rates were found. CONCLUSIONS: In this study, very thin patients were not at a higher risk of complications when submitted to PCNL than in those with a BMI of ≥25 kg/m2. Apparently, this technique can be used in these patients, just as it is used in any other type of patient, independently of their BMI.

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Depressive symptoms are highly prevalent and heterogeneous in women. Different brain structures might be associated with depressive symptoms and body composition in women with obesity/overweight and normal-/underweight, although the data is limited. The analysis included 265 women from Bialystok PLUS population study, untreated with antidepressive or antipsychotic medications. The subjects underwent brain magnetic resonance imaging and body composition analysis. Beck Depression Inventory (BDI) score was inversely associated with nucleus accumbens volume (ß = -0.217, p = 0.008) in women with BMI ≥ 25 kg/m2, but with insula volume (ß = -0.147, p = 0.027) in women with BMI < 25 kg/m2 after adjustment for age and estimated intracranial volume (eTIV). In women with BMI ≥ 25 kg/m2, nucleus accumbens volume was inversely associated with the percentage of visceral fat and BDI score (ß = -0.236, p = 0.012, ß = -0.192, p = 0.017) after adjustment for age and eTIV. In women with BMI < 25 kg/m2, insula volume was positively associated with total fat-free mass and negatively with the BDI score (ß = 0.142, p = 0.030, ß = -0.137, p = 0.037) after adjustment for age and eTIV. Depressive symptoms might be associated with nucleus accumbens volume in overweight/obese women, while in normal-/ underweight women-with alterations in insula volume.

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Introduction: Globally, nearly half of all deaths among children under the age of five are linked to undernutrition. These tragic outcomes are most prevalent in low- and middle-income countries. The far-reaching impact of malnutrition affects not only individuals but also their families, communities, and entire nations. By examining underweight, we gain valuable insights into the intricate network of factors influencing child health. Therefore, this study aims to assess underweight prevalence and its associated factors among under-five children in low and lower-middle-income African countries. Method: We conducted a secondary analysis of standard demographic and health surveys in 30 low and lower-middle-income African countries spanning from 2012 to 2022. Our analysis included a total sample of 200,655 children under the age of 5 years. We employed a three-level hierarchical model to assess the determinants of underweight among children in this age group. Measures of association were evaluated using adjusted odds ratios with a 95% confidence interval. Explanatory variables with a p-value less than the level of significance (0.05) were considered statistically significant. Result: The pooled prevalence of underweight among children under the age of five in low and lower-middle income African countries was estimated at 17.60%, with a 95% confidence interval (CI) ranging from 17.44 to 17.77%. The hierarchical analysis identified several factors significantly associated with underweight, including male gender, birth size, maternal body mass index, maternal educational level, household wealth index, antenatal care (ANC) visits, community poverty level, and income level of countries. Conclusion: The high prevalence of underweight among children under the age of five in low and lower-middle income African countries underscores the need for targeted interventions. By addressing individual, community, and country-level factors, we can work toward improving child nutrition and well-being.

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BACKGROUND: Severely underweight (SUW) children contribute significantly to under-five mortality and morbidity. There are WHO guidelines for the management of severe acute malnutrition but no specific guidelines for SUW management. OBJECTIVE: The objectives were to achieve a recovery rate of 30% at 90 days of treatment for severe underweight (SUW) children aged 6-60 months, compare changes in weight-for-age Z (WAZ) scores, growth patterns, and case fatality rates between intervention and reference arms (RA), and reduce the prevalence of SUW in the intervention arm (IA). The target of a 30% recovery rate was achievable and significant based on our past research conducted in similar settings. METHODS: Design: A prospective controlled community-based, longitudinal, two arms (IA, RA), intervention study with long follow-up was conducted between January 2011 and October 2023. SETTING: Primary care for participants from 14 villages in rural Melghat, India. PARTICIPANTS: The study participants included SUW children aged 6-60 months and age-matched (±2 weeks) normal controls. The SAMMAN (Acronym for SAM-Management) intervention was comprised of local therapeutic food-micronutrient (LTF-MN) therapy for 90 days, intensive behavior change communication, infection treatment, and quarterly anthropometric records. SUW recovery, growth patterns, case fatality rate, prevalence at 90 days of therapy and at 60 months of age, and survival until early adolescence were assessed. ANCOVA analysis was used to obtain changes in Z-scores. RESULTS: In the IA, the recovery rate was 36.8% at 90 days and 78.2% at 60 months of age. The mean difference in change in WAZ scores between the intervention arm and the reference arm was statistically significant (p < 0.0001). Growth patterns were similar between the two arms up to early adolescence. The SUW case fatality rate was significantly lower in the IA (0.9%) as compared to 4.62% in the RA at 60 months (p = 0.022). The reduction in SUW prevalence in intervention villages was higher than in the control villages (p < 0.001). The cost of management per SUW child was 3888 INR (47 USD) less than RUTF. CONCLUSION: The SAMMAN intervention is safe and cost-effective for significantly improving WAZ scores, sustainable, and hence replicable in resource-limited areas.

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India has one of the highest burdens of childhood undernutrition in the world. The two principal dimensions of childhood undernutrition, namely stunting and underweight can be significantly associated in a particular population, a fact that is rarely explored in the extant literature. In this study, we apply a copula geoadditive modelling framework on nationally representative data of 104,021 children obtained from the National Family Health Survey 5 to assess the spatial distribution and critical drivers of the dual burden of childhood stunting and underweight in India while accounting for this correlation. Prevalence of stunting, underweight and their co-occurrence among under 5 children were 35.37%, 28.63% and 19.45% respectively with significant positive association between the two (Pearsonian Chi square = 19346, P-value = 0). Some of the factors which were significantly associated with stunting and underweight were child gender (Adjusted Odds Ratio (AOR) = 1.13 (1.12) for stunting (underweight)), birthweight (AOR = 1.46 (1.64) for stunting (underweight)), type of delivery (AOR = 1.12 (1.19) for stunting (underweight)), prenatal checkup (AOR = 0.94 (0.96) for stunting (underweight)) and maternal short-stature (AOR = 2.19 (1.85) for stunting (underweight)). There was significant spatial heterogeneity in the dual burden of stunting and underweight with highest prevalence being observed in eastern and western states while northern and southern states having relatively lower prevalence. Overall, the results are indicative of the inadequacy of a "one-size-fits-all" strategy and underscore the necessity of an interventional framework that addresses the nutritional deficiency of the most susceptible regions and population subgroups of the country.

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This study aimed to estimate the prevalence of malnutrition using clustered anthropometric indicators and to describe the sociodemographic and dietary factors and health conditions that determine malnutrition in elderly Colombians. This was a secondary analysis of the study Health, Well-being and Ageing (SABE) Colombia, 2015. The survey included 23,694 people aged ≥ 60 years. Malnutrition excess was defined by clustering two indicators: body mass index (BMI) and waist circumference; weight deficit was defined by clustering BMI and arm and calf circumferences. The chi-square test was used to associate malnutrition with sociodemographic variables, dietary and health conditions, and to determine the heterogeneity of malnutrition, a latent class analysis was performed. Overweight was 31.9%, whereas underweight, according to BMI and calf circumference, was 7.9%, and increased to 18.8% when arm circumference was also taken into account. Five latent classes of malnutrition were generated - class 1: no overweight and deteriorated health conditions; class 2: no weight deficit and deteriorated health conditions; class 3: no malnutrition and deteriorated health conditions; class 4: overweight and multimorbidity; and class 5: low protein food intake without being underweight or overweight. It is concluded that a high prevalence of malnutrition in older adults exists, with excess rather than deficit. Sociodemographic and dietary factors and health conditions are associated differently with overweight and underweight.

El objetivo del estudio fue estimar la prevalencia de malnutrición por indicadores antropométricos agrupados y describir los factores sociodemográficos, alimentarios y condiciones de salud determinantes de malnutrición en personas mayores colombianas. Se realizó un análisis secundario del estudio Salud, Bienestar y Envejecimiento (SABE) Colombia, 2015. Incluyó 23.694 personas ≥ 60 años. La malnutrición por exceso se definió agrupando dos indicadores: índice de masa corporal (IMC) y circunferencia de cintura; el déficit de peso se definió agrupando el IMC y las circunferencias de brazo y pantorrilla. Para asociar la malnutrición con variables sociodemográficas, alimentarias y condiciones de salud se usó la prueba chi-cuadrado y para determinar la heterogeneidad de la malnutrición se realizó un análisis de clases latentes. El exceso de peso fue 31,9%; mientras que el déficit de peso según IMC y circunferencia de pantorrilla fue 7,9%, e incrementó a 18,8%, al tener en cuenta además la circunferencia del brazo. Se generaron cinco clases latentes para malnutrición, clase 1: sin exceso de peso y con deterioro en condiciones de salud; clase 2: sin déficit de peso y con deterioro en condiciones de salud; clase 3: sin malnutrición ni deterioro en condiciones de salud; clase 4: exceso de peso y multimorbilidad, y clase 5: bajo consumo de alimentos proteicos sin déficit ni exceso de peso. Se concluye que existe una prevalencia de malnutrición elevada en las personas mayores, representando más el exceso que el déficit. Tanto los factores sociodemográficos, alimentarios y condiciones de salud, se asocian de forma diferente al exceso que al déficit de peso.

O objetivo do estudo foi estimar a prevalência da desnutrição por meio de indicadores antropométricos agrupados e descrever os fatores sociodemográficos, alimentares e condições de saúde determinantes da desnutrição em idosos colombianos. Foi realizada uma análise secundária do estudo Saúde, Bem-estar e Envelhecimento (SABE) Colômbia, 2015. A pesquisa incluiu 23.694 pessoas com idade ≥ 60 anos. O excesso de desnutrição foi definido pelo agrupamento de dois indicadores: índice de massa corporal (IMC) e circunferência da cintura; o déficit de peso foi definido pelo agrupamento do IMC e das circunferências do braço e da panturrilha. Para associar a desnutrição a variáveis sociodemográficas, condições alimentares e de saúde, foi usado o teste do qui-quadrado e, para determinar a heterogeneidade da desnutrição, foi realizada uma análise de classe latente. O excesso de peso foi de 31,9%, enquanto o baixo peso, de acordo com o IMC e a circunferência da panturrilha, foi de 7,9%, e aumentou para 18,8% quando a circunferência do braço também foi levada em conta. Foram geradas cinco classes latentes para a desnutrição - classe 1: sem excesso de peso e condições de saúde deterioradas; classe 2: sem déficit de peso e condições de saúde deterioradas; classe 3: sem desnutrição e condições de saúde deterioradas; classe 4: excesso de peso e multimorbidade; e classe 5: baixa ingestão de alimentos proteicos sem déficit de peso ou excesso de peso. Conclui-se que há uma alta prevalência de desnutrição em idosos, com excesso em vez de déficit. Fatores sociodemográficos, alimentares e condições de saúde estão associados de forma diferente ao sobrepeso e ao baixo peso.

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BACKGROUND: In developing countries like Bangladesh, under-five children are mostly experiencing and suffering from common diseases like fever, cough, diarrhea, and acute respiratory infections (ARI). To mitigate these problems, it's crucial to spot prevalent areas and take proper action. This study investigates the spatial distribution and associated factors of prevalent childhood illnesses across Bangladesh. METHODS AND FINDINGS: This research comprised 8,306 children's information from the Bangladesh Demographic and Health Survey (BDHS) 2017-18. We performed chi-square, t-tests, binary logistic regression and spatial analyses in this work. BDHS survey data and GPS data were aggregated to identify common childhood illnesses among under-five children. Moran's index first mapped childhood illnesses. Afterward, Getis-Ord Gi* discovered hot and cold spots for illnesses. However, Kriging interpolation predicted child illnesses in unsampled areas. Here, 33.2% (CI: 32.2-34.3), 36% (CI: 35-37.1), 4.7% (CI: 4.3-5.2), and 12.9% (CI: 12.2-13.6) of children under five had fever, cough, diarrhea, and ARI, respectively. In the fortnight before to the survey, 47.3% (CI: 46.2-48.3) of under-5 children were ill. Common childhood illnesses are associated with children's (age, underweight status, etc.), mothers' (age, education, etc.), and household factors (residency, wealth index, etc.). Underweight status is associated with fever, cough and at least one disease. The unsampled north-western and south-western areas of Bangladesh had a higher prevalence of fever, cough, ARI and at least one common disease. Cough was most common in the central-northern region; fever was most common in the lower southern region; and ARI was most common in Bangladesh's south-east. Childhood diseases were more prevalent in Bangladesh's central-northern and southern regions. CONCLUSIONS: Our research demonstrates the regional clustering of common childhood diseases in Bangladesh. Policymakers should focus on these higher-prevalence regions, and the necessary preventive measures should be taken immediately.

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BACKGROUND: In Ethiopia, moderate thinness (MT) is a persistent issue among children. Yet, evidence on the effects of dietary supplementation and motor skills training in these children is limited. OBJECTIVE: This study aimed to assess the effect of Ready-to-Use Supplementary Food (RUSF), whether or not combined with high-intensity motor learning (HiML), on weight, height, body composition, and muscle strength in children 5-7 years old with MT living in Jimma Town, Ethiopia. METHODS: A cluster-randomized controlled trial was carried out among 69 children (aged 5-7) with MT assigned to receive RUSF (n = 23), RUSF + HiML (n = 25), or no intervention (control group, n = 21). A multivariable Generalized Estimating Equations model was used and the level of significance was set at alpha < 0.05. RESULTS: At baseline, there were no significant differences in the outcome measurements between the RUSF, RUSF + HiML, and control groups. However, after 12 weeks of intervention, there were significant mean differences in differences (DIDs) between the RUSF group and the control arm, with DIDs of 1.50 kg for weight (p < 0.001), 20.63 newton (N) for elbow flexor (p < 0.001), 11.00 N for quadriceps (p = 0.023), 18.95 N for gastrocnemius sup flexor of the leg (p < 0.001), and 1.03 kg for fat-free mass (p = 0.022). Similarly, the mean difference in differences was higher in the RUSF + HiML group by 1.62 kg for weight (p < 0.001), 2.80 kg for grip strength (p < 0.001), 15.93 for elbow flexor (p < 0.001), 16.73 for quadriceps (p < 0.001), 9.75 for gastrocnemius sup flexor of the leg (p = 0.005), and 2.20 kg for fat-free mass (p < 0.001) compared the control arm. CONCLUSION: RUSF alone was effective, but combining it with HiML had a synergistic effect. Compared to the control group, the RUSF and RUSF + HiML interventions improved the body composition, height, weight, and muscle strength of the studied moderately thin children. The findings of this study suggest the potential that treating moderately thin children with RUSF and combining it with HiML has for reducing the negative effects of malnutrition in Ethiopia. Future research should explore these interventions in a larger community-based study. This trial has been registered at the Pan African Clinical Trials Registry (PACTR) under trial number PACTR202305718679999.

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As people age, abnormal gait recognition becomes a critical problem in the field of healthcare. Currently, some algorithms can classify gaits with different pathologies, but they cannot guarantee high accuracy while keeping the model lightweight. To address these issues, this paper proposes a lightweight network (NSVGT-ICBAM-FACN) based on the new side-view gait template (NSVGT), improved convolutional block attention module (ICBAM), and transfer learning that fuses convolutional features containing high-level information and attention features containing semantic information of interest to achieve robust pathological gait recognition. The NSVGT contains different levels of information such as gait shape, gait dynamics, and energy distribution at different parts of the body, which integrates and compensates for the strengths and limitations of each feature, making gait characterization more robust. The ICBAM employs parallel concatenation and depthwise separable convolution (DSC). The former strengthens the interaction between features. The latter improves the efficiency of processing gait information. In the classification head, we choose to employ DSC instead of global average pooling. This method preserves the spatial information and learns the weights of different locations, which solves the problem that the corner points and center points in the feature map have the same weight. The classification accuracies for this paper's model on the self-constructed dataset and GAIT-IST dataset are 98.43% and 98.69%, which are 0.77% and 0.59% higher than that of the SOTA model, respectively. The experiments demonstrate that the method achieves good balance between lightweightness and performance.

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Malnutrition is responsible for over one-third of deaths among children under the age of five in low-and middle-income countries, including Ethiopia, and is largely preventable. The objective of this study was to determine the prevalence of undernutrition and its contributing factors among children aged 6-59 months in the Gedio zone of Southern Ethiopia. A community-based cross-sectional study design was used, and data were collected from 403 children and their mothers selected through random sampling technique. Anthropometric measures were converted to Z-scores using WHO-Anthro version 3.2.2 software. The prevalence of underweight, wasting, and stunting were 19.7% (95% CI 16-24%), 10% (95% CI 7-13%), and 49% (95% CI 44-54%) respectively. Low birth weight (AOR = 2.8, 95% CI (1.585-4.895), feeding non-diversified diet (AOR = 1.9, 95% CI (1.036-3.497), and being unvaccinated (AOR: 2.0; 95%CI (1.013-4.197) were significantly associated with being underweight. Family size of ≥ 5 (AOR = 4.4, CI (1.274-5.059), meal frequency of < 3 times per a day (AOR = 2.3, CI (1.037-5.024), and index birth interval of < 24 months (AOR = 2.2, CI (1.015-4.843) were significantly associated with wasting. Similarly, children aged ≥ 24 months (AOR = 2.8, CI (1.769-4.474), feeding non-diversified diet (AOR = 1.8, CI (1.153-2.894), total duration of breast-feeding < 12 months (AOR = 4.0, CI (2.547-6.429), and mothers BMI below 18.5 (AOR = 2.2, CI (1.328-3.718) were identified as a predictors of stunting. The study revealed significant levels of undernutrition, including underweight, wasting, and stunting, among children in the study area. Factors such as birth weight, dietary diversity score, and vaccine status were found to be strongly linked to underweight. Additionally, living in a large family, meal frequency, and birth interval were significantly associated with wasting. The age of the child, duration of breastfeeding, dietary diversity score, and maternal BMI status were also significantly linked to stunting. To address this issue, the study recommends promoting healthier feeding practices, dietary diversification, optimal breastfeeding, complete vaccination, wider birth intervals, and improving maternal nutrition to reduce undernutrition among children aged 6-59 months in the area. Implementing these measures could significantly improve the health of children in the study area.

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Introduction: The prevalence of underweight in women of reproductive age (WRA) in South Asia remains unacceptably high. Underweight women suffer from lowered immunity, infertility, and a risk of developing non-communicable diseases. In pregnancy, undernutrition results in poor neonatal and maternal outcomes. We present the findings and the management strategy of undernutrition in the preconception and pregnancy phase intervention group in the WING study in low- to lower-middle-income neighborhoods of North India. Methods: We analyzed data from the Women and Infants Integrated Interventions for Growth Study (WINGS) intervention group. In this individually randomized factorial design trial, 13,500 women were enrolled from low to middle-income neighborhoods of Delhi: 6,722 women in the preconception group and 2,640 from the pregnancy group. Food supplements in the form of locally prepared snacks were given to provide necessary calories and protein requirements as per the Body mass index (BMI) during the preconception period and each trimester of pregnancy. The snacks (sweet or savory) and milk or egg as a source of high-quality protein were delivered at home, and intakes were observed. Individual tracking and close monthly monitoring were done for compliance, besides screening and treatment of infections. Results: The enrolled women's mean (SD) age was 24.2 (3.1) years. Approximately 35% of women had a height of < 150 cm, and 50% had schooling >12 years. 17% of women in preconception and 14 % in pregnancy intervention groups were Underweight. Approximately two-thirds of underweight women improved 9-12 months after management in the preconception group, and the same proportion improved 4 weeks after management during pregnancy. The proportion of women with inadequate weight gain (IWG) during pregnancy was higher in women who were underweight during preconception. Discussion: A comprehensive approach to managing undernutrition with high-quality energy-dense food supplementation substantially improved weight gain in women during preconception and pregnancy. Clinical trial registration: http://ctri.nic.in/Clinicaltrials/pmaindet2.php?trialid=19339%26EncHid=%26userName=societyforappliedstudies, identifier: Clinical Trial Registry India #CTRI/2017/06/008908.

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Anthropometric prevalence indicators such as stunting, wasting, and underweight are widely-used population-level tools used to track trends in childhood nutrition. Threats to the validity of these data can lead to erroneous decision making and improper allocation of finite resources intended to support some of the world's most vulnerable populations. It has been demonstrated previously that aggregated prevalence rates for these indicators can be highly sensitive to biases in the presence of non-directional measurement errors, but the quantitative relationship between the contributing factors and the scale of this bias has not been fully described. In this work, a Monte Carlo simulation exercise was performed to generate high-statistics z-score distributions with a wide range of mean and standard deviation parameters relevant to the populations in low- and middle-income countries (LMIC). With the important assumption that the distribution's standard deviation should be close to 1.0 in the absence of non-directional measurement errors, the shift in prevalence rate due to this common challenge is calculated and explored. Assuming access to a given z-score distribution's mean and standard deviation values, this relationship can be used to evaluate the potential scale of prevalence bias for both historical and modern anthropometric indicator results. As a demonstration of the efficacy of this exercise, the bias scale for a set of 21 child anthropometry datasets collected in LMIC contexts is presented.

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BACKGROUND: This study aims to investigate the association between malnutrition and early childhood caries (ECC) and caries activity among children aged 3-5 years, in order to provide a theoretical basis for preventing and blocking ECC and improving malnutrition. METHODS: Children aged 3-5 years from six kindergartens in Zhao Xian, China were enrolled in this study. The decayed, missing, filled teeth (dmft) of all children were examined and recorded. The Cariostat method was used to detect dental caries activity, collect anthropometric data and measure haemoglobin concentration. Parents were asked to complete a questionnaire on the general characteristics and oral health behaviour of the participants. The "Growth Standards for Chinese Children Under 7 Years Old" was used to assess the nutritional status of all participating children. Wilcoxon rank sum test and multivariate logistic regression analysis were used to analyse and evaluate the relationship between ECC, caries activity and malnutrition. RESULTS: A total of 635 children who met the criteria were included in this study. After adjusting for confounding factors, logistic regression showed that the risk of ECC was significantly increased in underweight children compared with normal children (OR = 5.43, P < 0. 05); compared with normal children, the risk of ECC decreased in overweight and obese children (OR = 0.31, P < 0.001); underweight children had higher caries severity than normal weight children, and the difference was statistically significant (OR = 2.69, P < 0. 05); stunted children had higher caries severity than normal weight children and the difference was statistically significant (OR = 2.28, P < 0.05); underweight was positively associated with caries activity and the association was statistically significant (OR = 2.33, P < 0. 05); stunting was positively associated with caries activity and the association was statistically significant (OR = 2.1, P < 0.05); overweight and obesity were negatively associated with caries activity and the association was statistically significant (OR = 0.61, P < 0.05). CONCLUSIONS: The risk of ECC among children aged 3-5 years was positively associated with undernutrition and negatively associated with overnutrition. The severity of ECC among children aged 3-5 years was positively associated with undernutrition. The caries activity among children aged 3-5 years was positively associated with undernutrition and negatively associated with overnutrition.

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Objectives: This study aimed to identify dietary knowledge, attitudes, and behaviors related to obesity and highly underweight among urban Chinese high school students. Methods: Using the data of 403 high school students from a cross-sectional survey in 2022, multinomial logistic regression analysis was conducted with the body mass index as the objective variable (reference: normal weight), dietary knowledge, attitudes, and behaviors as the explanatory variables, adjusted for sex. Results: Both obesity and highly underweight were most strongly related to incorrect dietary knowledge of desirable types of diets. Additionally, obesity was related to inappropriate dietary attitudes regarding the importance of diet, eating at irregular meal-times, and eating without chewing well, while highly underweight was related to picky eating and not having three meals per day, but not related to attitudes. Conclusion: The incorrect knowledge of desirable type of diet was related to both obesity and highly underweight, while other risk factors of knowledge, attitudes, and behaviors related to obesity or highly underweight differed respectively. These findings should be useful in examining effective nutrition education for urban Chinese high school students.

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BACKGROUND: Worldwide, a significant number of girls become mothers during adolescence. In Bangladesh, adolescent childbirth is highly prevalent and has adverse effects on children's health and undernutrition. We aimed to identify the relationship between the undernutrition of children and adolescent motherhood, the factors associated with adolescent mothers' age at first birth, and to examine the programmatic factors and gaps influencing children's undernutrition in Bangladesh. METHODS: We analysed the 'Bangladesh Demographic and Health Survey' BDHS-17-18 data and desk review. To examine the factors associated with adolescent motherhood and its impact on child undernutrition, data from 7,643 mother-child pairs were selected. Child stunting, wasting, and underweight were measured according to the World Health Organisation (WHO) median growth guidelines based on z-scores - 2. Univariate, bivariate, simple, and multiple logistic regressions were used for analyse. We followed the systematic procedures for the literature review. RESULTS: Approximately, 89% of adolescents aged ≤ 19 years were married and 71% of them gave their first childbirth. Children of adolescent mothers (≤ 19 years) were significantly 1.68 times more wasted (aOR: 1.68; 95% CI: 1.08 to 2.64), 1.37 times more underweight (aOR: 1.37; 95% CI: 1.01 to 1.86) and either form 1.32 times more stunting, wasting or underweight (aOR:1.32; 95% Cl: 1.05 to 1.66) compared to the children of adult mothers (> 19 years) after adjusting potential confounders. The factors associated with mothers' first childbirth during adolescence were the age gap between husband and wife 5-10 years (aOR: 1.81; 95% Cl: 1.57-2.10) and age gap > 10 years (aOR: 2.41; 95% Cl: 1.96-2.97) compared with the age group < 5 years, and husbands' education (aOR: 1.29; 95% Cl: 1.04-1.61) compared with the uneducated husbands. In the literature review, we found potential gaps in focusing on the Adolescent Sexual and Reproductive Health (ASRH) program in Bangladesh, from thirty-two programmes only half of them focused on adolescents aged 10-19 years, and eleven programmes focused only on girls. CONCLUSION: Children of adolescent mothers are at risk of wasting, underweight, and any form of undernutrition. For effective policies and interventions in Bangladesh, it is important to emphasise delaying adolescent pregnancy and prioritising child undernutrition.

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BACKGROUND: Undernutrition, which includes stunting, wasting, and underweight, is a global problem, especially among children of low- and middle-income countries. To our knowledge, this study is first of its type from Afghanistan. Its main objectives were to estimate the prevalence and associated risk factors of stunting, wasting/thinness, and underweight among urban primary school children in Kandahar city of Afghanistan. METHODS: This school-based cross-sectional study was conducted among 1205 primary school children aged 6-12 years during a period of six months (October 2022-March 2023). Anthropometric measurements and other data were collected from all the participants. Data were analyzed by using descriptive statistics, Chi square test (using crude odds ratio or COR), and multivariate logistic regression (using adjusted odds ratio or AOR). RESULTS: Among the 1205 enrolled government school students, 47.4%, 19.5%, and 25.6% had stunting, wasting/thinness, and underweight, respectively. Statistically significant factors associated with stunting were age group 6-9 years (AOR 1.3, 95% CI 1.1-1.7), being girl (AOR 2.3, 95% CI 1.8-3.0), poverty (AOR 2.2, 95% CI 1.5-3.2), large family (AOR 3.0, 95% CI 2.4-3.9), illiterate mother (AOR 1.6, 95% CI 1.0-2.6), jobless head of the family (AOR 3.3, 95% CI 2.3-4.8), and skipping breakfasts (AOR 1.7, 95% CI 1.2-2.3). Main factor associated with wasting/thinness were age group 6-9 years (AOR 30.5, 95% CI 11.8-78.7), skipping breakfasts (AOR 22.9, 95% CI 13.9-37.8), and history of sickness during the past two weeks (AOR 17.0, 95% CI 6.6-43.8). Also, main factors associated with underweight were age group 6-9 years (AOR 2.6, 95% CI 1.6-4.1), skipping breakfasts (AOR 2.6, 95% CI 1.8-3.6), and poor sanitation (AOR 1.9, 95% CI 1.1-3.2). CONCLUSIONS: Stunting, wasting/thinness, and underweight are highly prevalent among primary school children (both girls and boys) in Kandahar city. It is recommended that local government (Afghanistan Ministry of Education and Ministry of Public Health) with the help of international organizations and donor agencies should implement comprehensive school-based feeding programs especially for girls. Health and nutrition education programs should be conducted with emphasis on nutrition of children aged 6-9 years as well as importance of healthy breakfast and good sanitation.

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The aims of this research were to evaluate the current nutritional status, dietary intake, and level of physical activity and assess the need for intervention. This was a cross-sectional study with 2724 participating children aged 6-9 years old. Nutritional status was assessed using nutrimetry, dietary intake with a 3-day food-recall questionnaire and physical activity with an ad hoc questionnaire. The nutricode with the highest prevalence was healthy weight/normal stature, with 51.3% of the sample. For the BMI for age Z-score, those in the overweight/obesity category represented 37.5% of the sample, while the thinness category included 7.6%. Intake of calories, proteins, sugar, lipids, SFA, MUFA, and cholesterol were significantly higher than recommended. The thinness groups consumed a significantly higher amount of excess calories while the overweight/obesity groups had the lowest mean excess calorie intake. Children in the thinness category presented the highest rates at both ends of the spectrum for sedentary activities. This study showed the high prevalence of malnutrition in schoolchildren. The results for the risk of thinness and overweight/obesity according to individual nutrient intake should be carefully interpreted. Lifestyle is a fundamental aspect to consider when combating malnutrition, especially at the level of dietary and physical activity habits, to combine various methods of intervention to improve nutritional status.

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Hip fractures remain a substantial health concern, particularly among elderly individuals with osteoporosis, leading to high global mortality rates. This study aimed to analyze the association between body mass index (BMI) and postoperative mortality in patients who underwent surgery for hip fractures. A total of 680 patients treated at a single institution between January 2018 and December 2022 were included. Factors such as age, BMI, sex, Charlson Comorbidity Index (CCI), preoperative hemoglobin levels, American Society of Anesthesiologists score, anesthesia method, duration of surgery, and time from injury to surgery were assessed. Underweight status, male sex, higher CCI, and general anesthesia were significantly associated with 1-year and in-hospital mortality. Notably, underweight individuals exhibited a higher risk of mortality than normal-weight individuals, and female patients had lower mortality rates. This study underscores the importance of considering BMI, along with other demographic and clinical factors, in predicting postoperative mortality among patients with hip fractures, aiding the development of tailored management strategies to improve outcomes and reduce complications in this vulnerable patient population.

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BACKGROUND: The annual incidence of metabolic-associated fatty liver disease (MAFLD) in China has been increasing and is often overlooked owing to its insidious characteristics. Approximately 50% of the patients have a normal weight or are not obese. They are said to have lean-type MAFLD, and few studies of such patients are available. Because MAFLD is associated with abnormal lipid metabolism, lipid-targeted metabolomics was used in this study to provide experimental evidence for early diagnosis and pathogenesis. AIM: To investigate the serum fatty-acid metabolic characteristics in lean-type MAFLD patients using targeted serum metabolomic technology. METHODS: Between January and June 2022, serum samples were collected from MAFLD patients and healthy individuals who were treated at Shanghai Putuo District Central Hospital for serum metabolomics analysis. Principal component analysis and orthogonal partial least squares-discriminant analysis models were developed, and univariate analysis was used to screen for biomarkers of lean-type MAFLD and analyze metabolic pathways. UPLC-Q-Orbitrap/MS content determination was used to determine serum palmitic acid (PA), oleic acid (OA), linoleic acid (LA), and arachidonic acid (AA) levels in lean-type MAFLD patients. RESULTS: Urea nitrogen and uric acid levels were higher in lean-type MAFLD patients than in healthy individuals (P < 0.05). Alanine transaminase and cholinesterase levels were higher in lean-type MAFLD patients than in healthy individuals (P < 0.01). The expression of high-density lipoprotein and apolipoprotein A-1 were lower in lean-type MAFLD patients than in healthy individuals (P < 0.05) and the expression of triglycerides and fasting blood glucose were increased (P < 0.01). A total of 65 biomarkers that affected the synthesis and metabolism of fatty acids were found with P < 0.05 and variable importance in projection > 1". The levels of PA, OA, LA, and AA were significantly increased compared with healthy individuals. CONCLUSION: The metabolic profiles of lean-type MAFLD patients and healthy participants differed significantly, yielding 65 identified biomarkers. PA, OA, LA, and AA exhibited the most significant changes, offering valuable clinical guidance for prevention and treatment of lean-type MAFLD.

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