Orthorexia nervosa (ON) is a proposed diagnostic category that captures a pathological need to eat healthfully. The ORTO-15 is a self-report measure ostensibly designed to assess ON, but its suitability for capturing symptoms of pathology has been questioned. Vegans differ from omnivores in their focus on health and present with similar or lowered endorsement of eating behaviors symptoms, making them an ideal group to assess the construct validity of the ORTO-15. We tested the hypothesis that the ORTO-15 captures normative, rather than pathological, health focus. In total, 106 omnivores, 34 meat reducers, 50 lacto-ovo-vegetarians, and 191 vegans completed the ORTO-15 to quantify the presence and severity of ON and the Eating Disorder Examination Questionnaire (EDE-Q) as an established measure of eating pathology. More than 75% of respondents met criteria for a diagnosis of ON per established ORTO-15 cutoffs. Respondents above the 2.50 EDEQ cutoff (suggesting the likely presence of an eating disorder) did not differ in ORTO-15 scores from those scoring below the cutoff. There was a univariate main effect of meat avoidance type on the EDE-Q global scale (p < .01), with vegans endorsing fewer symptoms on the EDE-Q than semi-vegetarians (post-hoc p < .05). Vegans were more likely to meet the clinical ON cutoff of 40 on the ORTO-15 compared to omnivores (omnibus p < .01; post-hoc p = .01). Based on the ORTO-15, vegans' scores should be indicative of pathological eating behavior, but EDE-Q scores instead indicate the lowest levels in this group. The ORTO-15 is able to differentiate between types of meat avoiders, but given the difference in health focus between groups, the scale may be tapping into a construct other than pathological eating beliefs and behaviors.
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http://dx.doi.org/10.1016/j.appet.2018.12.042 | DOI Listing |
Proc Natl Acad Sci U S A
February 2025
Department of Psychology, University of Potsdam, Potsdam 14476, Germany.
Measurement literacy is required for strong scientific reasoning, effective experimental design, conceptual and empirical validation of measurement quantities, and the intelligible interpretation of error in theory construction. This discourse examines how issues in measurement are posed and resolved and addresses potential misunderstandings. Examples drawn from across the sciences are used to show that measurement literacy promotes the goals of scientific discourse and provides the necessary foundation for carving out perspectives and carrying out interventions in science.
View Article and Find Full Text PDFPsychol Assess
January 2025
Department of Psychology, University of Alabama.
Sexual sadism has long been of interest to scholars and clinicians in psychology, and most research on sexual sadism has focused on forensic samples. However, recently, research has uncovered the existence of sexual sadism in general populations. Measures designed to assess sexual sadism in the general population are lacking.
View Article and Find Full Text PDFPLoS Comput Biol
January 2025
School of Mathematical Sciences, Shanghai Jiao Tong University, Shanghai, China.
This study combines experimental techniques and mathematical modeling to investigate the dynamics of C. elegans body-wall muscle cells. Specifically, by conducting voltage clamp and mutant experiments, we identify key ion channels, particularly the L-type voltage-gated calcium channel (EGL-19) and potassium channels (SHK-1, SLO-2), which are crucial for generating action potentials.
View Article and Find Full Text PDFPLoS One
January 2025
Department of Rheumatology, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, P.R. China.
Introduction: Lupus nephritis (LN) is one of the most frequent and serious organic manifestations of systemic lupus erythematosus (SLE). Autophagy, a new form of programmed cell death, has been implicated in a variety of renal diseases, but the relationship between autophagy and LN remains unelucidated.
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PLoS One
January 2025
Department of Chemistry, Ashoka University, Sonipat, Haryana, India.
Pancreatic Ductal Adenocarcinoma (PDAC) is a devastating disease with poor clinical outcomes, which is mainly because of delayed disease detection, resistance to chemotherapy, and lack of specific targeted therapies. The disease's development involves complex interactions among immunological, genetic, and environmental factors, yet its molecular mechanism remains elusive. A major challenge in understanding PDAC etiology lies in unraveling the genetic profiling that governs the PDAC network.
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