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BackgroundMarket integration (MI)-increasing production for and consumption from a market-based economy-is drastically altering traditional ways of life and environmental conditions among indigenous Amazonian peoples. The effects of MI on the biology and health of Amazonian children and adolescents, however, remain unclear.AimThis study examines the impact of MI on sub-adult body size and nutritional status at the population, regional and household levels among the Shuar of Amazonian Ecuador.Subjects and methodsAnthropometric data were collected between 2005-2014 from 2164 Shuar (aged 2-19 years) living in two geographic regions differing in general degree of MI. High-resolution household economic, lifestyle and dietary data were collected from a sub-sample of 631 participants. Analyses were performed to investigate relationships between body size and year of data collection, region and specific aspects of household MI.ResultsResults from temporal and regional analyses suggest that MI has a significant and overall positive impact on Shuar body size and nutritional status. However, household-level results exhibit nuanced and heterogeneous specific effects of MI underlying these overarching relationships.ConclusionThis study provides novel insight into the complex socio-ecological pathways linking MI, physical growth and health among the Shuar and other indigenous Amazonian populations.

ObjectivesInformation concerning physical growth among small-scale populations remains limited, yet such data are critical to local health efforts and to foster basic understandings of human life history and variation in childhood development. Using a large dataset and robust modeling methods, this study aims to describe growth from birth to adulthood among the indigenous Shuar of Amazonian Ecuador.MethodsMixed-longitudinal measures of height, weight, and body mass index (BMI) were collected from Shuar participants (n = 2,463; age: 0-29 years). Centile growth curves and tables were created for each anthropometric variable of interest using Generalized Additive Models for Location, Scale, and Shape (GAMLSS). Pseudo-velocity and Lambda-Mu-Sigma curves were generated to further investigate Shuar patterns of growth and to facilitate comparison with United States Center for Disease Control and Prevention and multinational World Health Organization growth references.ResultsThe Shuar are small throughout life and exhibit complex patterns of growth that differ substantially from those of international references. Similar to other Amazonians, Shuar growth in weight compares more favorably to references than growth in height, resulting in BMI curves that approximate international medians. Several additional characteristics of Shuar development are noteworthy, including large observed variation in body size early in life, significant infant growth faltering, extended male growth into adulthood, and a markedly early female pubertal growth spurt in height. Phenotypic plasticity and genetic selection in response to local environmental factors may explain many of these patterns.ConclusionsProviding a detailed reference of growth for the Shuar and other Amazonian populations, this study possesses direct clinical application and affords valuable insight into childhood health and the ecology of human growth.

Objectives: Biocultural perspectives combining methods and theories from biological and cultural anthropology are needed to better understand socioeconomic and race‐based health inequities in the United States. For example, the developmental trajectories of gastrointestinal health disparities based on embodied (i.e., internalized) inequities in resource access and environmental pathogen exposure are poorly understood. Here, we present a preliminary exploration of these relationships among 20 children (aged 3–14 years) from 12 families living in a low‐resource, predominantly Black, rural Mississippi community. Methods: Relationships between fecal calprotectin levels (FC; biomarker of intestinal inflammation measured from stool samples), BMI‐for‐age/Height‐for‐age z‐scores (calculated from standard anthropometric measures), household income/size (from parent interviews), and parasitic worm (helminth) infection status (detected in stool samples by 18 s rRNA gene amplification/sequencing) were tested using bootstrap linear regression and ANOVA/ANCOVA tests. Results: About 80% of sampled children had clinically elevated FC (> 50 μg/g). BMI z‐scores (95%CI = −154.63; −7.34) and household income (95%CI = −135.90; −16.44) were negatively associated with FC levels. Household size was positively associated with FC levels (95%CI = 4.65, 101.61). Helminth infections were detected (n = 6), with positive associations between infection and the FC level (p < 0.05) that were likely driven by two infected children with very high FC levels. Conclusion: The high levels of intestinal inflammation in this small sample of children suggest that gastrointestinal health disparities may appear in childhood. We explore how these disparities may be related to inequities in environmental exposures, nutritional and socioeconomic status, and barriers to medical care and resource access. Intestinal inflammation levels (mean fecal calprotectin) were significantly higher in children infected with platyhelmints (flatworms; Figure 2A), but this relationship appears to be driven by two infected children with very high levels of inflammation (Figure 2b) and more complex, interconnected factors are likely at play. Figure captions refer in meta xml. [ABSTRACT FROM AUTHOR]

Objective: Anemia is an important global health challenge. We investigate anemia prevalence among Indigenous Shuar of Ecuador to expand our understanding of population‐level variation, and to test hypotheses about how anemia variation is related to age, sex, and market integration. Methods: Hemoglobin levels were measured in a total sample of 1650 Shuar participants (ages 6 months to 86 years) from 46 communities between 2008 and 2017 to compare anemia prevalence across regions characterized by different levels of market integration. Results: Shuar anemia rates among children under 15 years (12.2%), adult women (10.5%), and adult men (5.3%) were less than half of those previously documented in other neo‐tropical Indigenous populations. Anemia prevalence did not vary between more traditional and market integrated communities (OR = 0.47, p =.52). However, anemia was negatively associated with body mass index (OR = 0.47, p =.002). Conclusions: Compared to other South American Indigenous populations, anemia prevalence is relatively low among Shuar of Ecuador and invariant with market integration. Understanding this pattern can provide valuable insights into anemia prevention among at‐risk populations. [ABSTRACT FROM AUTHOR]

Background: Autoimmune and inflammatory disorder (AIID) prevalence appears to be increasing in all but the world's poorest regions and countries. Autoimmune diseases occur when there is a breakdown in processes that regulate inflammation and self‐recognition by immune cells. Very few field‐based studies have been conducted among Indigenous populations and underserved communities with limited access to medical care. This is due, in part, to the fact that autoimmune diseases are difficult to diagnose, even in clinical settings. In remote field settings these difficulties are compounded by the absence of infrastructure necessary for sample storage and analysis, and the lack of hospital/clinic access for more invasive diagnostic procedures. Because of these limitations, little is known about the prevalence of autoimmunity outside wealthy regions and clinical settings. Aims: The present paper discusses why AIID are of critical importance in human biology research and why more work needs to be devoted to validating, testing, and utilizing methods for detecting autoantibodies and other biomarkers related to autoimmunity in field‐friendly, minimally invasively‐collected samples. This paper reviews some of the methods used to diagnose AIIDs in clinical settings, and highlights methods that have been used in studies within human biology and related fields, emphasizing the invasiveness of specific methods and their feasibility in remote field settings. Discussion and Conclusions: Risk for AIID is affected by several reproductive, dietary, environmental, and genetic factors. Human biologists have unique perspectives that they can bring to autoimmunity research, and more population‐based studies on autoimmunity are needed within these and related fields. [ABSTRACT FROM AUTHOR]

Objectives: This study investigates bone density across the life course among Bolivian Tsimane and Ecuadorian Shuar of Amazonia. Both groups are rural, high‐fertility forager‐horticulturalists, with high lifetime physical activity levels. We test whether Tsimane and Shuar bone density patterns are different from each other, and if both groups are characterized by lower osteoporosis risk compared to U.S. references. Methods: Anthropometric and calcaneal bone density data, obtained via quantitative ultrasonometry (QUS), were collected from 678 Tsimane and 235 Shuar (13–92 years old). Population and sex differences in QUS values (estimated bone mineral density, speed of sound, broadband ultrasound attenuation) by age group were assessed using Mann–Whitney U tests. Age‐related change and age at peak QUS value were determined using polynomial regressions. One‐way analyses of covariance assessed population‐level differences in QUS values by age group adjusting for body mass index. Participants aged 50+ years at elevated osteoporosis risk were identified using a T score < −1.8; binomial tests assessed risk compared to U.S. references. Results: Shuar males and females <50 years old have QUS values 3–36% higher than Tsimane, with differences evident in adolescence. Among Tsimane and Shuar, 49 and 23% of participants aged 50+ years old, respectively, are at high risk for osteoporosis, compared to 34% of Americans; Shuar osteoporosis risk is comparable to Americans, while Tsimane risk is elevated. Conclusions: Disparate patterns in QUS values are documented for Tsimane and Shuar, with pronounced differences early in life. Potential explanations for differences include gene–environment interactions and/or degree of market integration, which influences diet, activity profiles, pathogen exposures, and other lifestyle covariates. As Tsimane osteoporosis risk is greater than in the United States, findings point to alternative risk factors for low bone density that are not readily discernible in industrialized populations. [ABSTRACT FROM AUTHOR]

Background: Physical activity impacts the ageing process; yet, few studies have examined relationships among physical activity, functional abilities and health among older adults in non-Western settings. Aim: This study tests for associations among measures of physical activity, function and self-report health conditions among 200 older adults (49--50 years old) in Jodhpur, Rajasthan, India. Methods: Seven consecutive days of accelerometry data were used in measures of physical activity (Total Daily Energy Expenditure [TDEE], Physical Activity Level [PAL], Daily Average Activity Count [AC] and Activity Energy Expenditure [AEE]). Measures of physical function included grip strength, timed walk and daily average sit time. Participants reported if they had been diagnosed with diabetes, hypertension, arthritis and/or depression. Results: All four measures of physical activity were positively associated with grip strength (p ≤ 0.05). AC was negatively associated with timed walk (p ≤ 0.05), and both AC and AEE were negatively associated with daily average sit time (p ≤ 0.05). Women who reported diagnosis of hypertension had lower PAL and AC (p ≤ 0.05). Conclusion: This study provides further evidence for a positive relationship between physical activity and functional ability among older adults and between physical activity and cardiovascular health among women in India. [ABSTRACT FROM AUTHOR]

ABSTRACT Objectives Accelerometry provides researchers with a powerful tool to measure physical activity in population-based studies, yet this technology has been underutilized in cross-cultural studies of older adults. The present study was conducted among older adults in an urban setting in India with the following three objectives: (1) to compare average activity levels obtained through different durations of monitoring (1, 3, and 7 days); (2) to document differences in physical activity patterns by sex and age; and (3) to evaluate links between measures of physical activity and anthropometrics, as well as between activity parameters and measures of household size, work status, and social cohesion. Methods The present study uses data from a physical activity substudy of the World Health Organization's Study on global AGEing and adult health (SAGE-PA). This study of 200 older adults (49-90 years old; 72 males, 128 females) in urban India combines 7 continuous days of ActiGraph GT3X accelerometry with anthropometric and sociodemographic data. Results Results reveal overall low activity levels, with significantly lower activity energy expenditure (AEE) among females ( P < 0.05). No significant differences were documented in activity level by monitoring duration. Age was negatively correlated with AEE in men ( P < 0.01) and women ( P < 0.001). AEE was positively correlated with BMI in men ( P < 0.01) and women ( P < 0.05). Finally, women who were more socially integrated had greater AEE ( P < 0.01). Conclusions This study illustrates the utility of accelerometry for quantifying activity levels in aging populations in non-Western nations. Am. J. Hum. Biol. 28:412-420, 2016. © 2015 Wiley Periodicals, Inc. [ABSTRACT FROM AUTHOR]

Objective Low bone density and osteoporosis prevalence, while well-documented in wealthy nations, are poorly studied in rural, non-clinical contexts in economically developing regions such as Latin America. This study contributes preliminary osteoporosis risk data for a rural Colono (mestizo) population from Amazonian Ecuador. Methods Anthropometrics were collected for 119 adult participants (74 females, 45 males [50-90 years old]). Heel bone density and T-scores were recorded using calcaneal ultrasonometry Results Approximately, 33.6% of the participants had low bone density and were at high-risk for osteoporosis. Four times as many females as males were considered high-risk. Consistent with epidemiological literature, advancing age was significantly associated with lower bone density values ( P = 0.001). Conclusions Low bone density and osteoporosis prevalence are expected to increase in this and other economically transitioning populations, yet infrastructure to monitor this changing epidemiological landscape is almost non-existent. Human biologists are uniquely positioned to contribute data from remote populations, a critical step toward initiating increased resource allocation for diagnosis and prevention. Am. J. Hum. Biol. 27:139-142, 2015. © 2014 Wiley Periodicals, Inc. [ABSTRACT FROM AUTHOR]

Objectives Methods Results Conclusions The hypothalamic–pituitary–adrenal (HPA) axis and its primary end product, the glucocorticoid cortisol, are major components of the evolved human stress response. However, most studies have examined these systems among populations in high‐income settings, which differ from the high pathogen and limited resource contexts in which the HPA axis functioned for most of human evolution.We investigated variability in diurnal salivary cortisol patterns among 298 Indigenous Shuar from Amazonian Ecuador (147 males, 151 females; age 2–86 years), focusing on the effects of age, biological sex, and body mass index (BMI) in shaping differences in diurnal cortisol production. Saliva samples were collected three times daily (waking, 30 minutes post‐waking, evening) for three consecutive days to measure key cortisol parameters: levels at waking, the cortisol awakening response, the diurnal slope, and total daily output.Age was positively associated with waking levels and total daily output, with Shuar juveniles and adolescents displaying significantly lower levels than adults (p < .05). Sex was not a significant predictor of cortisol levels (p > .05), as Shuar males and females displayed similar patterns of diurnal cortisol production across the life course. Moreover, age, sex, and BMI significantly interacted to moderate the rate of diurnal cortisol decline (p = .027). Overall, Shuar demonstrated relatively lower cortisol concentrations than high‐income populations.This study expands the documented range of global variation in HPA axis activity and diurnal cortisol production and provides important insights into the plasticity of human stress physiology across diverse developmental and socioecological settings. [ABSTRACT FROM AUTHOR]

Background: Rising global obesity rates are linked with inflammation and associated morbidities. These negative outcomes are generally more common in low-resource communities within high-income countries; however, it is unclear how frequent infectious disease exposures in these settings may influence the relationship between adiposity and inflammation., Aim: We test associations between adiposity measures and distinct forms of inflammation among adults ( n  = 80) living in low-resource U.S. communities experiencing high levels of obesity and pathogen exposure., Subjects and Methods: Adiposity measures included BMI and percent body fat. Inflammation measures included systemic inflammation (C-reactive protein [CRP]) and localised intestinal inflammation (faecal calprotectin [FC]). The relationship between a condition characterised by elevated inflammation ( Helicobacter pylori infection) and adiposity was also considered., Results: Adiposity was not significantly related to FC concentration. However, both adiposity measures were positively related with odds of CRP elevation and H. pylori infection was associated with significantly lower adiposity measures (all p  < 0.05)., Conclusion: For this disadvantaged U.S. sample, the association between adiposity and inflammation varies by the systemic/localised nature of inflammation and the likely underlying cause of inflammation. Defining these associations will improve understanding of how rising obesity rates shape long-term health inequities, with implications for more effective intervention design.