What are weight bias measures measuring? An evaluation of core measures of weight bias and weight bias internalisation.
Ontology highlight
ABSTRACT:
SUBMITTER: Stewart SF
PROVIDER: S-EPMC8323429 | biostudies-literature |
REPOSITORIES: biostudies-literature
Similar Datasets
Project description:BackgroundWhilst the consequences of weight bias and weight bias internalisation (WBI) have been explored, less is known about the factors contributing to their development. Some research has explored the role of social exposure in weight bias and WBI but has been limited in its definition of exposure and focused solely on western countries. The present study therefore aimed to assess the role of social exposure defined in terms of both population and personal exposure in predicting weight bias and WBI, in an international sample.MethodsParticipants (N = 1041) from 33 countries, aged 18-85 years completed online measures of demographics, weight bias, WBI, and population and personal social exposure. Population exposure was defined using national obesity prevalence data from the World Health Organisation to classify countries as low (obesity rates ≤19.9%; n = 162), medium (20.0-29.9%; n = 672) or high prevalence (≥30%; n = 192). Personal exposure was defined in terms of personal contact and health and attractiveness normalisation.ResultsUsing regression analysis, greater weight bias was significantly predicted by being younger, male, less educated, and personal exposure in terms of normalisation beliefs that thinner body types are healthier and more attractive, greater daily exposure and overall exposure to thinner friends. The strongest predictors of weight bias (adj R2 = 13%) were gender (β = -0.24, p < .001), and personal exposure in terms of normalisation beliefs that thinner body types are more attractive (β = -0.13, p = .001). The strongest predictors of WBI (adj R2 = 6%) were attractiveness normalisation (β = -0.23, p < 0.001) and participants' perceived body shape (β = -0.27, p < 0.001). Population exposure did not predict either weight bias or WBI.ConclusionsPersonal exposure is more important than population exposure in predicting both weight bias and WBI. Findings hold implications for improving the wellbeing and lived experiences of those living with overweight and obesity.
| S-EPMC8159729 | biostudies-literature
Project description:Responsibility is a moral quality of caring that is central to child health policies. In contemporary United Kingdom these policies are based on behavioural psychology and underpinned by individualism, an ideology central to neoliberal governance. Amid the complexities of "obesity" and inequalities, there is a multi-layered stigmatisation of parents as moral associates. Few studies consider the lived realities of food policy processes from the standpoint of class. This critical qualitative research draws on theorists who explain processes of power and class: Foucault, Gramsci, Bourdieu, and Marx. Its objectives are: (a) to understand the lived experience of parents as they interact with food policy; (b) to explore how parents resist stigmatisation; and (c) to reflect on implications for policy and practice. Methods:Using purposive sampling, 31 ethnographically informed interviews were carried out in a London borough, with policy actors: policymakers, implementers, and parents as policy recipients, including 12 working-class mothers. Results:A core theme of "responsibilities" emerged with four interconnecting sub-processes that provide insight into how stigmatisation and resistance evolve through policy. Discussion:As have others, this study reveals the idea of responsibility as fundamental to the processes of soft power. Child health is a priority for participants and a "ruling idea." The diffusion of responsibility throughout policy leads to confusion about where it lies. New subjectivities are formed in line with ideas of governmentality. Parents engage with policy at multiple sites that elicit symbolic violence, and stigma sows social divisions. Against this background, working-class parents are left in a state of cognitive dissonance between being made responsible (responsibilisation), and feeling responsible (self-blaming) for their children's weight while lacking the material resources to provide an optimal nutritious diet. Resistance is interwoven and is essentially found in parents' policy alternatives that diverge from United Kingdom government policy. Conclusion:Critical qualitative research using multiple theorists is valuable in understanding how parents interact with policy in a complex social world. With United Kingdom policy failing, useful insights are provided into how involving parents in policymaking might determine a meaningful collective responsibility, with a political ethic of care and unity between parents that would advance health equity.
| S-EPMC6881380 | biostudies-literature
Project description:BackgroundInternalized weight stigma has gained growing interest due to its association with multiple health impairments in individuals with obesity. Especially high internalized weight stigma is reported by individuals undergoing bariatric surgery. For assessing this concept, two different self-report questionnaires are available, but have never been compared: the Weight Self-Stigma Questionnaire (WSSQ) and the Weight Bias Internalization Scale (WBIS). The purpose of the present study was to provide and to compare reliability, convergent validity with and predictive values for psychosocial health outcomes for the WSSQ and WBIS.MethodsThe WSSQ and the WBIS were used to assess internalized weight stigma in N = 78 prebariatric surgery patients. Further, body mass index (BMI) was assessed and body image, quality of life, self-esteem, depression, and anxiety were measured by well-established self-report questionnaires. Reliability, correlation, and regression analyses were conducted.ResultsInternal consistency of the WSSQ was acceptable, while good internal consistency was found for the WBIS. Both measures were significantly correlated with each other and body image. While only the WSSQ was correlated with overweight preoccupation, only the WBIS was correlated with appearance evaluation. Both measures were not associated with BMI. However, correlation coefficients did not differ between the WSSQ and the WBIS for all associations with validity measures. Further, both measures significantly predicted quality of life, self-esteem, depression, and anxiety, while the WBIS explained significantly more variance than the WSSQ total score for self-esteem.ConclusionsFindings indicate the WSSQ and the WBIS to be reliable and valid assessments of internalized weight stigma in prebariatric surgery patients, although the WBIS showed marginally more favorable results than the WSSQ. For both measures, longitudinal studies on stability and predictive validity are warranted, for example, for weight-related and psychosocial outcomes.
| S-EPMC5085051 | biostudies-literature
Project description:Evaluating bias for Illumina-based bacterial 16S rRNA gene profiles
| PRJEB6592 | ENA
Project description:BACKGROUND:Animal models in pain research have suggested that inclusion of both evoked and nonevoked behavioral measures is needed to better reflect the human pain experience. Individuals with chronic pain are known to experience spontaneous pain, in addition to pain after exposure to an external stimulus. Recently, the dynamic weight bearing (DWB) apparatus was developed to assess for nonevoked hyperalgesia by capturing weight bearing and surface distribution in the paws of mice after acute inflammation. OBJECTIVES:The aim of this study was to evaluate the DWB test as a measure of nonevoked hyperalgesia. METHODS:The experimental group received an intraplantar injection in the left hind paw of the inflammatory agent--complete Freund's adjuvant (CFA)--whereas the vehicle control group received a saline injection and the naive control group had no treatment. Calipers and a plethysmometer were used to verify inflammation and the hot-plate test was used as a measure for stimulus-evoked hyperalgesia. Data were collected at baseline; 3 hours; and 1, 3, and 7 days after injection. RESULTS:Mice injected with CFA showed a statistically significant higher mean paw thickness and volume displacement compared with the vehicle and naive control groups. In the hot-plate testing, CFA-treated mice showed lower response temperature at 7 days compared with the other groups. On the DWB test, CFA-treated mice showed a reduction in the ipsilateral paw load and surface area compared with the contralateral paw load at Days 1, 3, and 7. DISCUSSION:Mice with inflammation showed alterations in weight bearing as well as increased thermal hyperalgesia in comparison with control groups. These findings support the use of the DWB test as a tool for measuring nonevoked inflammatory hyperalgesia in a mouse model.
| S-EPMC4351786 | biostudies-literature
Project description:DNA sequencing technologies deviate from the ideal uniform distribution of reads. These biases impair scientific and medical applications. Accordingly, we have developed computational methods for discovering, describing and measuring bias.We applied these methods to the Illumina, Ion Torrent, Pacific Biosciences and Complete Genomics sequencing platforms, using data from human and from a set of microbes with diverse base compositions. As in previous work, library construction conditions significantly influence sequencing bias. Pacific Biosciences coverage levels are the least biased, followed by Illumina, although all technologies exhibit error-rate biases in high- and low-GC regions and at long homopolymer runs. The GC-rich regions prone to low coverage include a number of human promoters, so we therefore catalog 1,000 that were exceptionally resistant to sequencing. Our results indicate that combining data from two technologies can reduce coverage bias if the biases in the component technologies are complementary and of similar magnitude. Analysis of Illumina data representing 120-fold coverage of a well-studied human sample reveals that 0.20% of the autosomal genome was covered at less than 10% of the genome-wide average. Excluding locations that were similar to known bias motifs or likely due to sample-reference variations left only 0.045% of the autosomal genome with unexplained poor coverage.The assays presented in this paper provide a comprehensive view of sequencing bias, which can be used to drive laboratory improvements and to monitor production processes. Development guided by these assays should result in improved genome assemblies and better coverage of biologically important loci.
| S-EPMC4053816 | biostudies-literature
Project description:PCR amplification plays an integral role in the measurement of mixed microbial communities via high-throughput DNA sequencing of the 16S ribosomal RNA (rRNA) gene. Yet PCR is also known to introduce multiple forms of bias in 16S rRNA studies. Here we present a paired modeling and experimental approach to characterize and mitigate PCR NPM-bias (PCR bias from non-primer-mismatch sources) in microbiota surveys. We use experimental data from mock bacterial communities to validate our approach and human gut microbiota samples to characterize PCR NPM-bias under real-world conditions. Our results suggest that PCR NPM-bias can skew estimates of microbial relative abundances by a factor of 4 or more, but that this bias can be mitigated using log-ratio linear models.
| S-EPMC8284789 | biostudies-literature
Project description:OBJECTIVE:Weight bias can influence medical care but has not been studied in the pediatric inpatient setting. We will quantify implicit and explicit weight bias of pediatric inpatient providers and qualitatively explore providers' attitudes toward children with obesity and patient/family perceptions of weight bias in the hospital. METHODS:We performed a mixed-methods study including semistructured key informant interviews and validated tests for implicit (Implicit Association Test) and explicit (Crandall's Anti-Fat Attitudes Questionnaire) bias with pediatric hospitalists, residents, and acute care nurses. We performed semistructured key informant interviews with pediatric inpatients aged 7 to 17 years and the patient's parent(s) or guardian(s). Interviews were coded using an inductive approach to identify recurrent themes. RESULTS:We enrolled 28 pediatric providers, 12 patients, and 12 parents/guardians. In total, 71% of providers exhibited moderate or strong implicit weight bias, with generally lower scores for explicit bias. Qualitative analysis identified seven themes: the existence of weight bias, shared responsibility for a child's obesity, a potential for provider bias toward the parents of pediatric patients with obesity, possible effects of patient weight on inpatient care, importance of terminology in addressing obesity, and the possibility of addressing obesity inpatient but a preference for obesity to be addressed in the outpatient setting. CONCLUSIONS:Health care providers, patients, and families in the pediatric inpatient setting identified multiple ways that obesity could impact care, including provider weight bias.
| S-EPMC6703967 | biostudies-literature
Project description:Diagnostic tests are frequently reliant upon the interpretation of images by skilled raters. In many clinical settings, however, the variability observed between experts' ratings plays a detrimental role in the degree of confidence in these interpretations, leading to uncertainty in the diagnostic process. For example, in breast cancer testing, radiologists interpret mammographic images, while breast biopsy results are examined by pathologists. Each of these procedures involves elements of subjectivity. We propose here a flexible two-stage Bayesian latent variable model to investigate how the skills of individual raters impact the diagnostic accuracy of image-related testing in large-scale medical testing studies. A strength of the proposed model is that the true disease status of a patient within a reasonable time frame may or may not be known. In these studies, many raters each contribute classifications on a large sample of patients using a defined ordinal grading scale, leading to a complex correlation structure between ratings. Our modeling approach considers the different sources of variability contributed by experts and patients while accounting for correlations present between ratings and patients, in contrast to currently available methods. We propose a novel measure of a rater's ability (magnifier) that, in contrast to conventional measures of sensitivity and specificity, is robust to the underlying prevalence of disease in the population, providing an alternative measure of diagnostic accuracy across patient populations. Extensive simulation studies demonstrate lower bias in estimation of parameters and measures of accuracy, and illustrate outperformance of the proposed model when compared with existing models. Receiver operator characteristic curves are derived to assess the diagnostic accuracy of individual experts and their overall performance. Our proposed modeling approach is applied to a large breast imaging study for known disease status and a uterine cancer dataset for unknown disease status.
| S-EPMC8277718 | biostudies-literature
Project description:This paper details a methodology which, when applied to magnetoencephalography (MEG) data, is capable of measuring the spatio-temporal dynamics of 'disorder' in the human brain. Our method, which is based upon signal entropy, shows that spatially separate brain regions (or networks) generate temporally independent entropy time-courses. These time-courses are modulated by cognitive tasks, with an increase in local neural processing characterised by localised and transient increases in entropy in the neural signal. We explore the relationship between entropy and the more established time-frequency decomposition methods, which elucidate the temporal evolution of neural oscillations. We observe a direct but complex relationship between entropy and oscillatory amplitude, which suggests that these metrics are complementary. Finally, we provide a demonstration of the clinical utility of our method, using it to shed light on aberrant neurophysiological processing in schizophrenia. We demonstrate significantly increased task induced entropy change in patients (compared to controls) in multiple brain regions, including a cingulo-insula network, bilateral insula cortices and a right fronto-parietal network. These findings demonstrate potential clinical utility for our method and support a recent hypothesis that schizophrenia can be characterised by abnormalities in the salience network (a well characterised distributed network comprising bilateral insula and cingulate cortices).
| S-EPMC4401778 | biostudies-literature