The body image of pregnant women is an issue that should be further investigated by professionals in the area, especially in view of the fact that maternal and infant health has gained such prominence. The scope of this integrative review is to analyze the literature relating to body image and body dissatisfaction among pregnant women. Research was based on articles extracted from the Scopus, PubMed, BVS and PsycINFO databases, by cross-referencing "pregnancy" with the keywords "body image" and "body dissatisfaction." Once the inclusion and exclusion criteria had been adopted, forty studies were analyzed. These produced inconclusive data about body dissatisfaction during pregnancy. Symptoms of depression, low self-esteem, an inadequate approach towards healthy eating and weight gain above recommended limits have been associated with a negative body image. The contradictory findings could be related to the different instruments used to measure body image. In view of the possible impact that a negative body image can have on maternal and infant health during pregnancy, it is recommended that further investigations are made, in particular related to the development of a specific tool to evaluate the body image of pregnant women.
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http://dx.doi.org/10.1590/1413-81232015207.05502014 | DOI Listing |
Bioact Mater
April 2025
Department of Oral and Cranio-maxillofacial Surgery, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine; College of Stomatology, Shanghai Jiao Tong University; National Center for Stomatology; National Clinical Research Center for Oral Diseases; Shanghai Key Laboratory of Stomatology; Shanghai Research Institute of Stom, Shanghai, 200011, China.
Angiogenesis is imperative for bone regeneration, yet the conventional cytokine therapies have been constrained by prohibitive costs and safety apprehensions. It is urgent to develop a safer and more efficient therapeutic alternative. Herein, utilizing the methodologies of Deep Learning (DL) and Natural Language Processing (NLP), we proposed a paradigm algorithm that amalgamates with a variant, , to deftly discern potential pro-angiogenic peptides from intrinsically disordered regions (IDRs) of 262 related proteins, where are fertile grounds for developing safer and highly promising bioactive peptides.
View Article and Find Full Text PDFJ Oral Biosci
December 2024
Division of Forensic Odontology, Department of Diagnostic and Therapeutic Sciences, Meikai University School of Dentistry, Saitama, Japan; Forensic Odontology Center, Meikai University School of Dentistry, Saitama, Japan.
Objectives: This study aimed to measure the volume of the third cervical vertebra using head and neck multi-detector computed tomography (MDCT) and establish a sex determination model based on sex differences in volume.
Methods: Head and neck CT images of 85 patients were obtained for dental diagnostic and therapeutic purposes. Digital Imaging and Communications in Medicine (DICOM) data obtained from head and neck CT were constructed using a three-dimensional image analysis software.
Sci Rep
December 2024
Department of Radiology, Kobe University Graduate School of Medicine, Kobe, Japan.
Cine-magnetic resonance imaging (MRI) has been used to track respiratory-induced motion of the liver and tumor and assist in the accurate delineation of tumor volume. Recent developments in compressed sensitivity encoding (SENSE; CS) have accelerated temporal resolution while maintaining contrast resolution. This study aimed to develop and assess hepatobiliary phase (HBP) cine-MRI scans using CS.
View Article and Find Full Text PDFBody Image
December 2024
Department of Nutritional Sciences, University of Toronto, Medical Sciences Building, 1 King's College Circle, Toronto, ON M5S 1A8, Canada. Electronic address:
Highly visual and appearance-focused social media often exhibit appearance ideals that center around fairness and whiteness, resulting in the promotion of dangerous over-the-counter skin-lightening products to consumers to achieve such ideals. Our study aims to better understand the skin-lightening claims and products that TikTok users are exposed to on the platform. We conducted a cross-sectional content analysis to examine the top 100 most-viewed videos across the most popular skin-lightening hashtag (#skinlightening) through the TikTok website interface (N = 79) and generated descriptive statistics.
View Article and Find Full Text PDFNurs Open
January 2025
Department of Nursing, Zhongshan Hospital Xiamen University, Xiamen, China.
Aim: We explored demoralisation syndrome among post-operative patients with breast cancer and its relationship with patients' body image and marital intimacy.
Design: A cross-sectional study.
Methods: In this cross-sectional study, 237 patients with breast cancer who were hospitalised in the breast surgery department of Grade A tertiary hospital in Xiamen, China from June 2022 to December 2023 and met the standards of adaxation were selected by the convenience sampling method.
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