Background And Objective: Because they deviate from societal expectations regarding thinness, women with high body weight or large body size frequently experience social devaluation and discrimination and such experiences can negatively affect health. Yet relatively little is known about experiences of weight discrimination among people impacted by overlapping forms of oppression such as racism, sexism, and heterosexism or how high body weight may intersect with other marginalized identities to contribute to health disparities. Guided by an intersectional lens, the purpose of the current study was to assess Black, Latina, and sexual minority women's experiences with weight discrimination and to identify factors associated with vulnerability or resilience to the harmful health consequences of weight discrimination in these women.
Methods: Semi-structured interviews were conducted with thirty-two cisgender women from the United States who identified as Black, Latina, and/or a sexual minority (e.g., lesbian, bisexual) to assess their experiences with and responses to weight discrimination. All participants had a body mass index ≥30 kg/m and had previously experienced weight discrimination. Data collection took place from June to August of 2020.
Results: Five factors associated with vulnerability or resilience to experiencing or being negatively affected by weight discrimination were identified: 1) sociocultural norms about weight and perceived acceptance of high body weight, 2) perceived links among weight, perceived femininity, and attractiveness, 3) childhood experiences, 4) internalized weight stigma, and 5) coping strategies. The intersectional nature of women's experiences with weight discrimination was apparent in each theme.
Conclusions: This study identified key factors that may amplify or mitigate the negative health consequences of weight discrimination in socially marginalized women with high body weight. Findings highlight novel research questions to be explored in future research. Such research will be critical for guiding future interventions aimed at reducing the harmful health consequences of weight discrimination.
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http://dx.doi.org/10.1016/j.socscimed.2022.115555 | DOI Listing |
BMC Pregnancy Childbirth
January 2025
Department of Obstetrics and Gynecology, Division of Maternal-Fetal Medicine, University of Utah Health, 30 N. Mario Capecchi Dr., Level 5 South, Salt Lake City, UT, 84132, USA.
Background: Fetal growth restriction (FGR) is a leading risk factor for stillbirth, yet the diagnosis of FGR confers considerable prognostic uncertainty, as most infants with FGR do not experience any morbidity. Our objective was to use data from a large, deeply phenotyped observational obstetric cohort to develop a probabilistic graphical model (PGM), a type of "explainable artificial intelligence (AI)", as a potential framework to better understand how interrelated variables contribute to perinatal morbidity risk in FGR.
Methods: Using data from 9,558 pregnancies delivered at ≥ 20 weeks with available outcome data, we derived and validated a PGM using randomly selected sub-cohorts of 80% (n = 7645) and 20% (n = 1,912), respectively, to discriminate cases of FGR resulting in composite perinatal morbidity from those that did not.
Sci Rep
January 2025
College of Electrical and Information Engineering, Beihua University, Jilin, 132013, China.
Remote sensing images often suffer from the degradation effects of atmospheric haze, which can significantly impair the quality and utility of the acquired data. A novel dehazing method leveraging generative adversarial networks is proposed to address this challenge. It integrates a generator network, designed to enhance the clarity and detail of hazy images, with a discriminator network that distinguishes between dehazed and real clear images.
View Article and Find Full Text PDFCien Saude Colet
January 2025
Escola Nacional de Saúde Pública, Fundação Oswaldo Cruz. Rio de Janeiro RJ Brasil.
The scope of this study was to determine the diagnostic performance of ABSI for obesity and sarcopenic obesity, compared to the results of bioimpedance analysis (BIA) and BMI, by sex and age group. It involved a cross-sectional study with 12,793 participants in the second round of ELSA-Brasil (Longitudinal Study of Adult Health in Brazil), which obtained measurements of body fat percentage using BIA and anthropometry, verifying the performance of the diagnostic tests in order to compare the indices. The results showed that for obesity in men in all three age groups, the sensitivity was below 49%.
View Article and Find Full Text PDFPNAS Nexus
January 2025
Faculty of Health and Life Sciences, University of Exeter Medical School, University of Exeter, St Luke's campus, Exeter EX1 2LU, United Kingdom.
Apolipoprotein () genotype and nitric oxide (NO) deficiency are risk factors for age-associated cognitive decline. The oral microbiome plays a critical role in maintaining NO bioavailability during aging. The aim of this study was to assess interactions between the oral microbiome, NO biomarkers, and cognitive function in 60 participants with mild cognitive impairment (MCI) and 60 healthy controls using weighted gene co-occurrence network analysis and to compare the oral microbiomes between carriers and noncarriers in a subgroup of 35 MCI participants.
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