Synergies between the Developmental Origins of Health and Disease framework and multiple branches of evolutionary anthropology

McKerracher, Luseadra; Fried, Ruby; Kim, Andrew Wooyoung; Moffat, Tina; Sloboda, Deborah M.; Galloway, Tracey

doi:10.1002/evan.21860

Cited by 8 publications

(6 citation statements)

References 48 publications

(142 reference statements)

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“…1 ). The increasing knowledge about the different causes of cancer also supports research on our early ancestors, for instance when cancer allows conclusions about nutritional status, working conditions, or exposure to chemical toxins [ 29 ].…”

Section: Resultsmentioning

confidence: 99%

The pathological anatomical collection of the Natural History Museum Vienna

Winter

Teschler-Nicola

Macfelda

et al. 2023

Wien Med Wochenschr

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The pathological anatomical collection Vienna ( Pathologisch-Anatomische Sammlung Wien ; PASW) is a living and still growing research collection. It was established as early as 1796 as part of the Medical University of Vienna, acquired the status of an independent federal museum in 1971, and was assigned to the Natural History Museum Vienna in 2012. It houses a wide range of human wet and dry specimens and further objects, such as moulages, medical devices, microbiological and histological specimens, and a photo archive (approximately 50,000 objects), which, as a meaningful source, may contribute to disclosing not only aspects of the medical history and the development of corresponding museums in Vienna, but is also considered a collection of cultural and current scientific relevance, quite comparable to today’s biobanks. Most of the tissue amassment represents wet organic specimens and human skeletons or skeletal elements representing, e.g., congenital and metabolic disorders, infectious diseases, injuries, neoplasms, or musculoskeletal diseases, basically collected as descriptive anatomical teaching aids. This article reviews the current medical issues on which research has been and is being conducted by including PASW specimens (hereby using the ICD-10 code), and the extent to and ethical conditions under which this important heritage could be used as a reference collection for clinical and bioanthropological (paleopathological and palaeoepidemiological) studies; finally, this article reflects on the value and future research prospects, taking into account different positions and the ongoing discussions in pathological anatomical human tissue collections.

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Section: Resultsmentioning

confidence: 99%

The pathological anatomical collection of the Natural History Museum Vienna

Winter

Teschler-Nicola

Macfelda

et al. 2023

Wien Med Wochenschr

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“…Given that early menarche is associated with numerous negative health and social outcomes, this study has implications for health workers/clinicians, public health researchers, and policymakers, as well as for pushing forward biocultural research perspectives on sexuality in human females. Human biologists and biocultural anthropologists are well‐positioned to translate some of these findings into practice recommendations for our own field and for policy and practice recommendations for a broader audience (Gibson & Lawson, 2014, 2015; McKerracher et al, 2020; McKerracher & Nunez de la Mora, 2022). That is, human biologists/biocultural anthropologists generally hold both ‘soft’ skills and relationships necessary for working effectively and collaboratively with human populations in a wide variety of settings and circumstances as well as deep understandings of evolutionary, developmental, and/or cell biology (McKerracher et al, 2020; Thayer et al, 2022).…”

Section: Discussionmentioning

confidence: 99%

Sexual minority status is associated with earlier recalled age of menarche: Evidence from the 2005–2016NationalHealth andNutritionExaminationSurvey

Gibb

Spake

McKinnon

et al. 2022

American J Hum Biol

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Introduction Menarcheal timing is associated with growth, development, health, wellbeing, and reproduction across the lifespan. Although sexual orientation is a known correlate of health and developmental inequities, relatively little evolutionarily framed research has investigated sexual orientation‐based variation in maturational timing. To improve our understanding of menarcheal timing among sexual minority (SM) people, we use a biocultural‐evolutionary life history lens that takes into account the stresses of minoritization to examine the relationship between sexual orientation and self‐reported age at menarche in a sample of American adults. Methods Using the U.S. National Health and Nutrition Examination Survey (NHANES), a large, nationally representative dataset (n = 9757), we fit multiple logistic regression models and survival curves to evaluate associations between sexual orientation, indicators of somatic and material resources during adolescence (e.g., education, citizenship, upper arm length), and self‐reported menarche. Results SM respondents were more likely to report earlier (by 4–5 months) ages of menarche (p < .001). Post‐hoc tests revealed that these differences were driven by bisexual (p < .001) and same‐sex experienced (p < .001) relative to heterosexual and lesbian/gay respondents. Earlier menarcheal timing among SM respondents persisted after adjusting for socio‐demographic factors and proxies of developmental conditions. Discussion Our findings reveal that SM status is associated with earlier ages of menarche, an important social and reproductive milestone. We argue that uniting life history theory with the minority stress hypothesis better explains differences in menarcheal timing by sexual orientation than previous paradigms. Investigators should attend to sexual orientation‐based variation in maturational timing using holistic, inclusive approaches.

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“…GDM can also affect their offspring, being associated with a higher prevalence of macrosomia, shoulder dystocia, birth trauma, stillbirth, and, in later life, obesity and metabolic syndrome ( 7 ). According to the Developmental Origins of Health and Disease framework for GDM, exposure to intrauterine hyperglycemia before GDM screening at 24–28 weeks’ gestation is associated with the abnormal growth and development of the fetus ( 8 ). which includes smaller fetuses at 24 weeks’ gestation increased abdominal circumference growth rates ( 9 ), and hyperinsulinemia ( 6 ).…”

Section: Introductionmentioning

confidence: 99%

Prediction model for gestational diabetes mellitus using the XG Boost machine learning algorithm

et al. 2023

Front. Endocrinol.

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ObjectiveTo develop the extreme gradient boosting (XG Boost) machine learning (ML) model for predicting gestational diabetes mellitus (GDM) compared with a model using the traditional logistic regression (LR) method.MethodsA case–control study was carried out among pregnant women, who were assigned to either the training set (these women were recruited from August 2019 to November 2019) or the testing set (these women were recruited in August 2020). We applied the XG Boost ML model approach to identify the best set of predictors out of a set of 33 variables. The performance of the prediction model was determined by using the area under the receiver operating characteristic (ROC) curve (AUC) to assess discrimination, and the Hosmer–Lemeshow (HL) test and calibration plots to assess calibration. Decision curve analysis (DCA) was introduced to evaluate the clinical use of each of the models.ResultsA total of 735 and 190 pregnant women were included in the training and testing sets, respectively. The XG Boost ML model, which included 20 predictors, resulted in an AUC of 0.946 and yielded a predictive accuracy of 0.875, whereas the model using a traditional LR included four predictors and presented an AUC of 0.752 and yielded a predictive accuracy of 0.786. The HL test and calibration plots show that the two models have good calibration. DCA indicated that treating only those women whom the XG Boost ML model predicts are at risk of GDM confers a net benefit compared with treating all women or treating none.ConclusionsThe established model using XG Boost ML showed better predictive ability than the traditional LR model in terms of discrimination. The calibration performance of both models was good.

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Synergies between the Developmental Origins of Health and Disease framework and multiple branches of evolutionary anthropology

Cited by 8 publications

References 48 publications

The pathological anatomical collection of the Natural History Museum Vienna

The pathological anatomical collection of the Natural History Museum Vienna

Sexual minority status is associated with earlier recalled age of menarche: Evidence from the 2005–2016NationalHealth andNutritionExaminationSurvey

Prediction model for gestational diabetes mellitus using the XG Boost machine learning algorithm

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