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a) To verify the applicability of anthropometric indicators to evaluate physical fitness in school children and b) Propose physical fitness reference values for Peruvian children living at high altitudes in Peru. A cross-sectional study was carried out in children aged 6 to 12 years living at high altitude in Peru. A total of 1372 primary school children (785 males and 587 females) were evaluated. Weight, height and four physical tests [Hand grip strength (right and left HGS)], Horizontal jump (HJ), Round trip (5 × 10 repetitions), and the 6-minute walk test (6MWT)] were evaluated. Body Surface Area (BSA), Body Mass Index (BMI), and Triponderal Index (TPI) were calculated. The BSA presented a better comparative structure in relation to BMI and TPI with all physical tests. In males, HGS was related between r = 0.64 and 0.66; HJ (r = 0.26), agility (r = -0.31) and 6MWT (r = 0.30). In females, HGS was related between r = 0.63 and 0.64; HJ (r = 0.36), agility (r = -0.36), and 6MWT (r = 0.21). The predictive power in the four physical tests ranged from R2 = 9% to 43% in males, and from 5% to 41% in females. Percentiles by age and sex were proposed for BSA, HGS (right and left), HJ, agility, and 6MWT. BSA is the best predictor of physical fitness in schoolchildren from high altitude areas in Peru, surpassing BMI and TPI. In addition, reference values were proposed to evaluate physical fitness in these children.

The Body Rounds Index (BRI) is an anthropometric indicator specifically developed to evaluate an individual’s obesity level, particularly emphasizing central or abdominal obesity. This study aimed to explore the relationship between BRI and all-cause mortality in older U.S. adults. The research sample comprised individuals aged 65 and older from the National Health and Nutrition Examination Survey (NHANES), eligible for mortality analyses between 1999 and 2018. We utilized Cox regression analyses, restricted cubic spline (RCS), threshold effects analysis, Kaplan–Meier curves, and subgroup analyses were conducted to assess how the BRI correlates with all-cause mortality among older adults in the U.S. To further ensure the robustness of our findings, we conducted sensitivity analyses. Among 5371 U.S. older adults (age ≥ 65), with an average age of 72.45 (standard deviation [SD]:5.65) years, 2884 (60%) were women. During the follow-up period, there were 2781 deaths from all causes among the 5371 participants. After adjusting for all covariates, a U-shaped association was identified between BRI and the all cause mortality. Compared to a BRI of less than 4.457, a BRI between 4.457 and 5.538 was associated with a 19% reduction in the likelihood of mortality from any cause (HR = 0.81, 95% CI = 0.69–0.95). A BRI between 5.538 and 6.888 was linked to a 8% reduction in mortality risk (HR = 0.92, 95% CI = 0.79–1.07), while a BRI exceeding 6.888 showed a 1% increase in this risk (HR = 1.01, 95% CI = 0.87–1.17). RCS analysis indicated a U-shaped relationship between BRI and all-cause mortality. The turning point was located at 4.546, with correlations observed both before and after this point. This NHANES-based study highlights the U-shaped relationship between BRI and all-cause mortality among U.S. older adults, suggesting that the BRI has predictive value for mortality outcomes. The findings offer compelling support for utilizing BRI as a non-invasive mortality risk screening tool.

Background Child malnutrition is a huge health problem having multifaceted consequences for child survival and long-term well-being. Although, several studies investigated stunting, underweight, and wasting in low- and middle-income countries, in Nigeria, the link between them received little attention. The aim of this study is, therefore, to assess the association between anthropometric indicators of under-five children such as stunting, underweight and wasting given that of other characteristics of children and households. Methods The data for this study was obtained from Nigerian Demographic and health survey (NDHS) in 2018. A total of 11,314 under-five children were involved. Multivariate logistic regression model was used to determine the association between stunting, underweight and wasting given that of the estimated effect of other determinants. Results From 11,314 under-five children the study considered 36.2, 21.4 and 6.7% of them suffered from stunting, underweight and wasting, respectively. About half (50.7%) of the children were male, 24.1% was obtained from North West region of Nigeria, and 37.8% of them were from households having unimproved drinking water. The pairwise dependency between stunting and underweight; underweight and wasting was measured using odds ratio (OR) of 15.796, and 16.750 respectively. The estimated odds of children from richest household to become stunted, underweight, and wasted was respectively 0.392, 0.540, 0.786 times that of the estimated odds of children from poorest households. Conclusion The prevalence of under-five children with stunting, underweight and/or wasting in Nigeria was very high. The important determinants of stunting, underweight, and wasting for under five children were household wealth index, women body mass index, sex of the child, anemia, mothers’ age at first birth, and a diarrhea two weeks prior to the survey. Whereas, region, religion, multiple birth, women’s educational level significantly associated with both stunting and underweight. Both stunting and wasting significantly associated with underweight.

IntroductionAlthough many studies have examined the relationship between women’s empowerment and a wide range of health outcomes, the extent to which the different dimensions of empowerment influence children’s health, and through which mechanisms and in what contexts, is limited in sub-Saharan Africa. The objective of this review is to systematically assess and examine studies that investigated the association between women’s empowerment and children’s health status in sub-Saharan Africa.MethodsA systematic review of the published literature is searched through PubMed, Google Scholar, Embase, Web of Science and Scopus databases focusing on different measures of women’s empowerment and children’s health outcomes. Inclusion criteria in the review are studies that are published in English; full and original articles; studies measuring at least one dimension of women’s empowerment and children’s health outcomes; and Sub-Saharan African context. Studies included in this review are articles published between the year 2000 and 2019. Studies were excluded if the source was a letter, editorial, review, commentary, abstracts without providing full information about the study.ResultsInitially 4718 citations were identified. Finally, 15 studies met the inclusion and exclusion criteria. In general, the evidence suggests that women’s empowerment at the household level is positively and statistically significantly associated with better children’s health outcomes in sub-Saharan African countries. The review also reveals that women’s decision-making power or autonomy is the most common measure of women’s empowerment employed by many studies.ConclusionsFuture related studies would benefit by incorporating additional aspects of women's empowerment and child health outcomes.

The objective of this study was to investigate the association between triglyceride-glucose index (TyG) and related parameters (TyG-BMI, TyG-WC, TyG-WHR, and TyG-WHtR) with hypertension and cardiovascular risk. Additionally, the study aimed to compare the performance of these parameters in identifying patients with hypertension and high cardiovascular risk and determine appropriate indicators for the prediction of cardiovascular risk. Residents from a community in Beijing, China, who underwent health examinations at a regional hospital between December 2011 and August 2012, were recruited. Logistic regression analysis was used to explore the association between each parameter with hypertension and cardiovascular disease (CVD). The receiver operating characteristic curve was used to compare the predictive ability of each parameter in identifying people with hypertension or high cardiovascular risk. A total of 16,834 participants were included. After adjusting for confounders, the highest quartile groups of TyG and related parameters showed a significantly increased risk of hypertension compared to the lowest quartile groups. Among the parameters, TyG-WC exhibited the highest diagnostic efficacy for hypertension [area under the curve (AUC): 0.665, 95% CI: 0.656-0.673] followed by TyG-WHtR, TyG-BMI, TyG-WHR, and TyG index. Similarly, the highest quartile groups of each parameter demonstrated significantly increased risks of high cardiovascular risk compared to the lowest quartile groups. TyG-WHR performed best in distinguishing participants with high cardiovascular risk (AUC: 0.718, 95% CI: 0.710-0.726) followed by TyG-WC, TyG-WHtR, TyG-BMI, and TyG index. In conclusion, TyG-related parameters had independent associations with hypertension and cardiovascular risk. TyG-WHR exhibited the highest efficacy in distinguishing participants with high cardiovascular risk, which might contribute to the primary prevention of CVD.

Background Depressive symptoms are one of the most common psychiatric disorders, with a high lifetime prevalence rate among middle-aged and elderly Chinese. Obesity may be one of the risk factors for depressive symptoms, but there is currently no consensus on this view. Therefore, we investigate the relationship and predictive ability of 13 obesity- and lipid-related indices with depressive symptoms among middle-aged and elderly Chinese. Methods The data were obtained from The China Health and Retirement Longitudinal Study (CHARLS). Our analysis includes individuals who did not have depressive symptoms at the baseline of the CHARLS Wave 2011 study and were successfully follow-up in 2013 and 2015. Finally, 3790 participants were included in the short-term (from 2011 to 2013), and 3660 participants were included in the long-term (from 2011 to 2015). The average age of participants in short-term and long-term was 58.47 years and 57.88 years. The anthropometric indicators used in this analysis included non-invasive [e.g. waist circumference (WC), body mass index (BMI), and a body mass index (ABSI)], and invasive anthropometric indicators [e.g. lipid accumulation product (LAP), triglyceride glucose index (TyG index), and its-related indices (e.g. TyG-BMI, and TyG-WC)]. Receiver operating characteristic (ROC) analysis was used to examine the predictive ability of various indicators for depressive symptoms. The association of depressive symptoms with various indicators was calculated using binary logistic regression. Results The overall incidence of depressive symptoms was 20.79% in the short-term and 27.43% in the long-term. In males, WC [AUC = 0.452], LAP [AUC = 0.450], and TyG-WC [AUC = 0.451] were weak predictors of depressive symptoms during the short-term ( P  < 0.05). In females, BMI [AUC = 0.468], LAP [AUC = 0.468], and TyG index [AUC = 0.466] were weak predictors of depressive symptoms during the long-term ( P  < 0.05). However, ABSI cannot predict depressive symptoms in males and females during both periods ( P  > 0.05). Conclusion The research indicates that in the middle-aged and elderly Chinese, most obesity- and lipid-related indices have statistical significance in predicting depressive symptoms, but the accuracy of these indicators in prediction is relatively low and may not be practical predictors.

Background Given the rising global prevalence of obesity and its strong association with type 2 diabetes, this study aims to evaluate the comparative effectiveness of various anthropometric indicators in predicting the incidence of type 2 diabetes and intermediate hyperglycaemia (IH) over a 22-year period. Due to the limitations of body mass index as a predictive marker, the study assesses alternative metrics, including waist-to-hip ratio (WHR), waist-to-height ratio (WHtR), waist circumference (WC), and relative fat mass (RFM), to determine their predictive power for type 2 diabetes and intermediate hyperglycaemia. Methods The cohort comprised 1168 adults (aged ≥ 50 years) from Savitaipale, Finland. Data collection included clinical and laboratory assessments and questionnaires at baseline and at the 10-, and 22-year follow-ups. The incidence of type 2 diabetes and IH was assessed via a 2-h oral glucose tolerance test and health care registry data. Receiver operating characteristic (ROC) curves and area under the curve (AUC) metrics were used to evaluate the predictive power of each indicator, stratified by sex. Results WHR had the highest predictive accuracy for type 2 diabetes in men (AUC = 0.70), whereas RFM and WHtR were equally predictive in women (AUC = 0.68). For IH, RFM and WHR were most predictive in men, and WHtR in women. Combining multiple indicators improved the sensitivity of type 2 diabetes prediction. Conclusions Alternative anthropometric indicators offer comparable predictive value and show potential for individualised type 2 diabetes and IH risk assessment. Sex-specific cutoffs and a multi-indicator approach could be used to improve screening and early intervention strategies, potentially improving public health management of diabetes risk.

Relative fat mass (RFM) is a promising tool for identifying individuals with obesity-related health risks. Given the unclear correlation, we aimed to investigate the association between RFM and coronary artery calcification (CAC) in individuals with T2DM. We included hospitalized individuals aged 20–80 years with T2DM (n = 278) in this single-center cross-sectional study. We explored the correlation between RFM and the CAC score (CACS), mechanisms underlying the association between RFM and CAC, and prediction models of coronary artery stenosis (CAS). Compared to the non-CAC group, the CAC group had a higher RFM. The CACS and RFM were positively correlated. The RFM independently increased the risk of CAC in individuals with T2DM. Using RFM to predict CAC resulted in an area under the curve of 0.598 (95 % CI [0.531–0.664], p < 0.01); RFM was not inferior to visceral fat area for predicting CAC. Insulin resistance, systolic blood pressure, and estimated glomerular filtration rate mediated the association between RFM and CAS with proportions of 9.38 %, 18.82 %, and 11.36 %, respectively. RFM was associated with CAC in individuals with T2DM. Given its potential role in predicting cardiovascular complications, incorporating RFM into clinical practice may facilitate the prevention and management of cardiovascular complications in T2DM. •Relative fat mass is associated with coronary artery calcification in T2DM.•Relative fat mass can differentiate patients at high and low risk of CVD.•Prediction efficacy of relative fat mass is comparable to that of visceral fat area.•Relative fat mass should be incorporated into screening and treatment plans.•Relative fat mass is a simple, cost-efficient screening indicator.

This study investigated the presence of 32 antibiotic residues in drinking water, their potential association with antibiotic concentrations in children’s urine samples, and anthropometric indicators. Water samples were collected from the primary water sources supplying Ilo, Peru (Pacocha and Pampa), and urine samples were analysed from children aged 2 to 10 years using liquid chromatography coupled to tandem mass spectrometry with triple quadrupole. Five antibiotics were detected in drinking water, with three of these representing a health risk due to high concentrations and risk quotients (RQ): Doxycycline (2.30), Sulfamethoxazole (1.04), and Metronidazole (25.68). Furthermore, there was no correlation between the antibiotics found in drinking water and those detected in urine samples, as the types and quantities of antibiotics differed. In urine samples, 21 antibiotics were detected in children from Pacocha and 19 from Pampa. The antibiotics and anthropometric variables did not show any significant correlation. Principal component analysis revealed that antibiotic profiles were highly similar across both areas, suggesting a shared source of contamination independent of drinking water. It is concerning that 100% of the children have at least three antibiotics in their urine, which could affect their health now and later in life.

We aimed to evaluate the associations between a combined healthy lifestyle during the second and third trimesters and offspring anthropometric outcomes in China. We examined these associations among 548 participants from nine community health centers and three hospitals in the North China cohort. A pregnant women's healthy lifestyle score (HLS) was constructed based on six lifestyle factors: smoking, alcohol consumption, physical activity, sedentary behavior, diet, and gestational weight gain. Anthropometric indicators at birth like birth weight (BW), head circumference (HC), and birth length (BL) were collected, and weight to head circumference ratio (WHC, kg/m), body mass index (BMI, kg/m2) and Ponderal Index (PI, kg/m3) were calculated. Multivariate linear and logistic regression models were used to examine the effects of HLS during the second and third trimesters on anthropometric outcomes at birth, respectively. In fully adjusted models, we found a negative association between second and third-trimester HLS and offspring HC and a positive relationship between second-trimester HLS and BL (p<0.05). Neonates with mothers in the highest HLS tertile had a 5.6% relatively lower HC and 2.3% relatively longer body length than women in the lowest tertile. Each additional unit in third-trimester HLS had an associated decrease in HC by 0.96 cm. None of the associations between HLS and BW, WHC, BMI, and PI of offspring were observed. A healthy lifestyle score may significantly impact offspring head circumference and body length, supporting the important role of healthy lifestyles in improving the health of offspring.