Metric analysis of skeletal material is integral to the analysis and identification of human remains, though one commonly used measuring device, the osteometric board, has lagged in recent advancement. Traditional boards are bulky and require manual measurement recording, potentially generating intra- and interobserver error. To address these limitations, we tested the reliability, validity, and error rates of a novel device, the Portable Osteometric Device Version 1 (PODv1), which measures distance using laser sensors with time-of-flight technology. Forty-five volunteers measured four skeletal elements with the PODv1 and a PaleoTech osteometric board in three rounds. Comparison of tibia, humerus, and femur measurements with both devices showed no significant differences, although the maximum length of the ulna did differ, potentially because of observer confusion regarding the PODv1's user instructions for this element. Our results suggest that the PODv1 is a reliable, valid measurement device compared to traditional osteometric boards. Although both device types can produce calibration, transcription, and observer errors, the time-of-flight technology and the absence of manual recording built into the PODv1 may limit those errors. These advancements and their potential positive impacts on the accuracy of osteometric data collection may have far-reaching benefits for osteological, bioarchaeological, paleopathological, and forensic anthropological data collection.

Human height and related traits are highly complex, and extensively research has shown that these traits are determined by both genetic and environmental factors. Such factors may partially affect these traits through epigenetic programing. Epigenetic programing is dynamic and plays an important role in controlling gene expression and cell differentiation during (early) development. DNA methylation (DNAm) is the most commonly studied epigenetic feature. In this study we conducted an epigenome-wide DNAm association analysis on height-related traits in a Sub-Saharan African population, in order to detect DNAm biomarkers across four height-related traits. DNAm profiles were acquired in whole blood samples of 704 Ghanaians, sourced from the Research on Obesity and Diabetes among African Migrants study, using the Illumina Infinium HumanMethylation450 BeadChip. Linear models were fitted to detect differentially methylated positions (DMPs) and regions (DMRs) associated with height, leg-to-height ratio (LHR), leg length, and sitting height. No epigenome-wide significant DMPs were recorded. However we did observe among our top DMPs five informative probes associated with the height-related traits: cg26905768 (leg length), cg13268132 (leg length), cg19776793 (height), cg23072383 (LHR), and cg24625894 (sitting height). All five DMPs are annotated to genes whose functions were linked to bone cell regulation and development. DMR analysis identified overlapping DMRs within the gene body of HLA-DPB1 gene, and the HOXA gene cluster. In this first epigenome-wide association studies of these traits, our findings suggest DNAm associations with height-related heights, and might influence development and maintenance of these traits. Further studies are needed to replicate our findings, and to elucidate the molecular mechanism underlying human height-related traits.

Prior meta-analytic investigations over a decade ago rather inconclusively indicated that conjugated linoleic acid (CLA) supplementation could improve anthropometric and body composition indices in the general adult population. More recent investigations have emerged, and an up-to-date systematic review and meta-analysis on this topic must be improved. Therefore, this investigation provides a comprehensive systematic review and meta-analysis of randomised controlled trials (RCT) on the impact of CLA supplementation on anthropometric and body composition (body mass (BM), BMI, waist circumference (WC), fat mass (FM), body fat percentage (BFP) and fat-free mass (FFM)) markers in adults. Online databases search, including PubMed, Scopus, the Cochrane Library and Web of Science up to March 2022, were utilised to retrieve RCT examining the effect of CLA supplementation on anthropometric and body composition markers in adults. Meta-analysis was carried out using a random-effects model. The I2 index was used as an index of statistical heterogeneity of RCT. Among the initial 8351 studies identified from electronic databases search, seventy RCT with ninety-six effect sizes involving 4159 participants were included for data analyses. The results of random-effects modelling demonstrated that CLA supplementation significantly reduced BM (weighted mean difference (WMD): −0·35, 95 % CI (−0·54, −0·15), P < 0·001), BMI (WMD: −0·15, 95 % CI (−0·24, −0·06), P = 0·001), WC (WMD: −0·62, 95% CI (−1·04, −0·20), P = 0·004), FM (WMD: −0·44, 95 % CI (−0·66, −0·23), P < 0·001), BFP (WMD: −0·77 %, 95 % CI (−1·09, −0·45), P < 0·001) and increased FFM (WMD: 0·27, 95 % CI (0·09, 0·45), P = 0·003). The high-quality subgroup showed that CLA supplementation fails to change FM and BFP. However, according to high-quality studies, CLA intake resulted in small but significant increases in FFM and decreases in BM and BMI. This meta-analysis study suggests that CLA supplementation may result in a small but significant improvement in anthropometric and body composition markers in an adult population. However, data from high-quality studies failed to show CLA’s body fat-lowering properties. Moreover, it should be noted that the weight-loss properties of CLA were small and may not reach clinical importance.

Self-reported measures for body mass index (BMI) are considered a limitation in research design, especially when they are a primary outcome. Studies have found some populations to be quite accurate when self-reporting BMI; however, there is mixed research on the accuracy of self-reported measurements in adolescents. The aim of this study is to examine the accuracy of self-reported BMI by comparing it with measured BMI in a sample of U.S. adolescents and to understand gender differences. This cross-sectional study collected self-reported height and weight measurements of students from five high schools in four states (Tennessee, South Dakota, Kansas and Florida). Trained researchers took height and weight of students for an objective measurement. BMI was calculated from both sources and categorized (underweight, normal, overweight and obese) using the Centers for Disease Control and Prevention's BMI-for-age percentiles. Participants (n 425; 51⋅0 % female) had a mean age of 16⋅3 years old, and the majority were White (47⋅5 %). Limits of agreement (LOA) analysis revealed that BMI and weight were underreported, and height was overreported in the overall sample, in females, and in males. LOA analysis was fair for BMI in all three groups. Overall agreement in BMI categorisation was considered substantial (Κ 0⋅71, P < 0⋅001). As BMI increased, more height and weight inaccuracies led to decreased accuracy in BMI categorisation, and the specificity of obese participants was low (50⋅0 %). This study's findings suggest that using self-reported values to categorize BMI is more accurate than using continuous BMI values when self-reported measures are used in health-related interventions.

This article uses the mean age at menarche of women in China as an indicator of changes in the standard of living during the 20th century. It discusses the difficulties of using this indicator. It finds that the mean age of menarche stagnated at 16 to 17 years for women born during the period between the 1880s and 1930s. The age at menarche decreased in some urban areas, indicating improving living standards in, for example, Beijing and Shanghai. The mean age at menarche increased for 1940s’ birth cohorts, in relation not only to the warfare of the 1940s but also the famine of 1959–1962. The mean age at menarche decreased in a sustained way for women born during the 1950s to early 2000s. The decrease is associated with increasing educational attainment since the 1940s and also improvements in nutrition, hygiene and healthcare.

Trends in human welfare in Brazil have remained shrouded by a dearth of historical evidence. Although quantitative scholars have revealed the efficacy of the First Republic (1889–1930) in fomenting economic progress, the extent to which Brazil's early economic growth fostered improvements in health remains unclear. This paper fills this void in scholarship by relying on hitherto untapped archival sources with data on human stature—a reliable metric for health and nutritional status. My analysis centres heavily on a large (n ≈ 16,000), geographically-comprehensive series compiled from military inscription files, supplemented by an ancillary dataset drawn from passport records (n ≈ 6,000). I document inferior heights in the North and Northeast that predated the advent of industrialisation. At the national level, my findings reveal an increase in stature of over 2.5 cm between soldiers born in the 1880s and those born in the 1910s. In the South and Southeast, I argue that increased real income and public-health interventions explain the earlier upward trend in heights, while rural sanitary reforms were most important in the North and Northeast, where heights remained stagnant until the 1910 decade and diseases such as hookworm and malaria were most rampant.

This paper explores the relationship between the physical stature of Colombians born during the 20th century and several socio-economic and demographic variables. Using a dataset of more than 225,000 individuals built with information from judicial background certificates, we found a sustained growth of the average height of women and men during the 20th century. The results show significant differences in stature according to gender, level of education, occupation, and place and date of birth. Similarly, health conditions and access to aqueducts significantly affect height. We found that departmental average height disparities decreased and the gap across regions closed throughout the century.

Poverty has a long history in Africa. Yet, the most conventional and influential history of African poverty is a very short one. As told by the World Bank, the history of poverty starts in the 1980s with the first Living Standard Measurement Study. This history of poverty by numbers is also a very narrow one. There is a disconnect between the theoretical and historical underpinnings of how academics understand and define poverty in Africa, and how it has been quantified in practice. While it is generally agreed that poverty is multidimensional and has certain time- and location-specific aspects, the shorthand definition for poverty is the dollar-per-day metric. This article reveals how particular types of knowledge about poverty have gained prominence and thus shaped the dominant interpretation of poverty in Africa. It argues that, based on other numerical evidence, the history of poverty in Africa could be radically different from the dominant interpretation today.

Accurate assessment of neonatal body composition is essential to studies investigating neonatal nutrition or developmental origins of obesity. Bioelectrical impedance analysis or bioimpedance analysis is inexpensive, non-invasive and portable, and is widely used in adults for the assessment of body composition. There are currently no prediction algorithms using bioimpedance analysis in neonates that have been directly validated against measurements of fat-free mass (FFM). The aim of the study was to evaluate the use of bioimpedance analysis for the estimation of FFM and percentage of body fat over the first 4 months of life in healthy infants born at term, and to compare these with estimations based on anthropometric measurements (weight and length) and with skinfolds. The present study was an observational study in seventy-seven infants. Body fat content of infants was assessed at birth, 6 weeks, 3 and 4·5 months of age by air displacement plethysmography, using the PEA POD body composition system. Bioimpedance analysis was performed at the same time and the data were used to develop and test prediction equations for FFM. The combination of weight+sex+length predicted FFM, with a bias of < 100 g and limits of agreement of 6–13 %. Before 3 months of age, bioimpedance analysis did not improve the prediction of FFM or body fat. At 3 and 4·5 months, the inclusion of impedance in prediction algorithms resulted in small improvements in prediction of FFM, reducing the bias to < 50 g and limits of agreement to < 9 %. Skinfold measurements performed poorly at all ages.

This paper attempts to contribute to the ongoing debate on the historical roots of the high economic inequality of contemporary Iberian America. Our approach, which is basically empirical, departs from the mainstream scholarship. We show new data on wages and heights in several viceroyalties that (1) suggest relatively medium-to-high levels of material welfare among the commoners in Bourbon Hispanic America; and (2) allow us to build indexes of economic inequality. An international comparison of those indexes casts some doubts on the widely accepted view that Viceroyal America’s economy was exclusively based on extremely unequal or extractive institutions, as it has been popularized by the influential works by Engerman and Sokoloff and Acemoglu et al.

Severe anaemia is associated with increased low birth weight and Barker's hypothesis of ‘fetal origins’ proposes that a nutritional insult during critical periods of development results in adaptations that predispose individuals to adult onset diseases. We hypothesize that endocrine alterations may occur in the maternal–fetal milieu as a consequence of nutritional anaemia during pregnancy. We examined the quantitative variations in hormonal profiles in paired maternal and cord blood samples obtained from mothers and their neonates who were classified based on maternal anaemia status. Our results show that: (1) 74·6 % of the mothers enrolled in the study were anaemic, of which 85·2 % had moderate anaemia and 14·7 % had severe anaemia; (2) anthropometric parameters measured in the mothers indicate that severely anaemic mothers had a significantly low pre- and post-pregnancy weight, a significantly decreased maternal fundal height and abdominal circumference; (3) anthropometric measures in the neonates born to severely anaemic mothers show a significant reduction in ponderal index, birth weight and placental weight; (4) significant increase in both maternal, fetal insulin-like growth factor 1, ferritin levels and increased maternal erythropoietin levels were observed with an increase in severity of anaemia; (5) decreased T3 and increased prolactin levels were observed in the maternal blood of severely anaemic mothers as compared with the control group. An insight into the endocrine modulation to overcome a growth disadvantage due to nutritional anaemia in pregnancy may lead to a better understanding of fetal adaptations invoked when the maternal-placental nutrient supply fails to meet the fetal nutrient demand.