This study investigates gender differences in perceptions of body weight. Previous research has found significant gender differences in perceived weight-level, but less is known about weight perceptions of the opposite gender. Based on Danish survey data (859 women and 160 men), the discrepancy between BMI weight-level and self-perceived weight-level is estimated as well as the perception of one's partner's weight-level. Two main empirical conclusions emerge. First, there are significant gender differences in weight assessment. Whereas women assess weight according to the standardized BMI weight-levels for both genders, men assess weight according to gender. The weight-level of men is often underestimated by men themselves, but both men and women tend to overestimate the weight-level of women in the lower BMI deciles compared to standardized BMI weight-levels. Second, there is greater underestimation of weight-levels for individuals in the higher BMI--especially regarding weight perceptions of the opposite gender. These findings are discussed within a framework of socio-cultural theory of body image and gendered relations.
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http://dx.doi.org/10.1177/1363459311425512 | DOI Listing |
JMIR Public Health Surveill
January 2025
School of Public Health, National Defense Medical Center, Taipei City, Taiwan.
Background: Japanese encephalitis (JE) is a zoonotic parasitic disease caused by the Japanese encephalitis virus (JEV), and may cause fever, nausea, headache, or meningitis. It is currently unclear whether the epidemiological characteristics of the JEV have been affected by the extreme climatic conditions that have been observed in recent years.
Objective: This study aimed to examine the epidemiological characteristics, trends, and potential risk factors of JE in Taiwan from 2008 to 2020.
BMC Pharmacol Toxicol
January 2025
Department of Anatomy, College of Health Sciences, University of Ilorin, Ilorin, 240003, Nigeria.
Background: Glia mediated neuroinflammation and degeneration of inhibitory GABAergic interneurons are some of the hall marks of pyrethroid neurotoxicity. Here we investigated the sex specific responses of inflammatory cytokines, microglia, astrocyte and parvalbumin positive inhibitory GABAergic interneurons to λ-cyhalothrin (LCT) exposures in rats.
Methods: Equal numbers of male and female rats were given oral corn oil, 2 mg/kg.
BMC Nurs
January 2025
Department of Psychiatric and Mental Health, and Community Health, College of Nursing, Qassim University, 51452, Buraydah, Saudi Arabia.
Background/purpose: Nurses play a vital role in providing effective family-centered care (FCC) to enhance the quality of healthcare for children with chronic illnesses and increase family satisfaction. This study aimed to investigate nurses' perceptions and practices of FCC for children with chronic illnesses, and how nursing characteristics influence this relationship.
Method: This multicenter cross-sectional study involved a convenience sample of 405 nurses, each with at least six months of experience caring for chronically ill children, infants, and toddlers in Saudi Arabia.
BMC Med Educ
January 2025
Group of Research in Care and Health (GRUPAC), Faculty of Health Sciences, University of La Rioja, Logroño, 26006, Spain.
Introduction: Health disparities experienced by lesbian, gay, bisexual, and transgender (LGBT) individuals have been partially attributed to healthcare professionals' lack of cultural competence in addressing their specific needs. This study aimed to assess the differences in competencies and preparedness among health professionals from Poland and Spain when working with LGBT patients.
Methodology: Data were collected between June and August 2024 through a cross-sectional survey involving 673 health professionals (Mage = 33.
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.
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